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They heard firsthand the hardships of finding a job—and putting food on the table. They saw applicants get rejected because of something in the past, which in no way impacted their ability to do the jobs they were applying for today. They saw an opportunity to be a positive force in the job market – to focus on eliminating bias and championing a fairer future." }, { "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": "Daniel held high regard for Y Combinator, even back during his time living in Europe. He considered Y Combinator an ideal platform for transitioning from an engineer to a founder - a vision he shared with Checkr co-founder, Jonathan Perichon. Captivated by their experience at several Y Combinator events, they applied and were accepted into the program.Their time at Y Combinator was transformative, and they consider themselves YC superfans. 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Lawrence also co-founded the remote collaboration company Screenleap and launched the first online facebook at Stanford in 1999. Lawrence is an alumnus of Stanford (BA), Duke (MBA), and Y Combinator (Optery (W22) and Screenleap (W12)).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gentilello", "x_url": "https://twitter.com/gentilello", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d03c2c80fdbd7e671f17b1f557a9f3900d66ab5c.jpg" }, { "user_id": 44895, "full_name": "Chen Atlas", "title": "Founder", "founder_bio": "Chen is CTO and Founder at Optery. Prior to founding Optery, Chen was tech lead and architect for 50+ engineers at Runa HR. Prior to Runa HR he was Co-Founder and CTO of As You Stay, and Cleanly, the on-demand laundry service. Chen was recruited out of high school by the Israel Defense Forces (Mamram) to build logistics platforms and is an expert in building large scale complex systems with high availability. Chen is an alumnus of Bar-Ilan University (BA) and Y Combinator (Cleanly, W15).", "is_active": true, "linkedin_url": "http://www.linkedin.com/in/atlaschen", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e9eb8ccd2121e0b1121cbbbfa690198b0abc57e7.jpg" } ], "jobs": [], "news": [ { "title": "Best Data Removal Services of 2026: Reduce Your Online Presence | CNET", "url": "https://www.cnet.com/tech/services-and-software/best-data-removal-services/", "date": "Jul 02, 2026" }, { "title": "Optery Review: An Effective, but Expensive, Data Removal Service | CNET", "url": "https://www.cnet.com/tech/services-and-software/optery-review/", "date": "Jul 02, 2026" }, { "title": "How your personal data is being sold legally online - and used by hackers to steal millions, report warns | Daily Mail Online", "url": "https://www.dailymail.com/news/article-15878519/Personal-data-sold-online-hackers-steal-millions.html", "date": "Jun 05, 2026" }, { "title": "Optery's Rapid Growth Highlights Soaring Demand for Data Privacy | BriefGlance.com", "url": "https://briefglance.com/articles/opterys-rapid-growth-highlights-soaring-demand-for-data-privacy", "date": "Apr 01, 2026" }, { "title": "Meet 25 of San Francisco's High Growth Companies—And They're Not All in AI | Inc.com", "url": "https://www.inc.com/mariapaula-gonzalez/meet-25-of-san-francisco-fast-growing-companies-not-all-ai-startups/91322555", "date": "Mar 31, 2026" } ], "launches": [] }, { "id": 25339, "name": "Sota2", "slug": "sota2", "former_names": [ "PageOne Lab, Inc.", "VacationHomeRents", "Wizwand", "AgentDiscuss", "AgentRouter" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8cca75ae8585f526a195b8ac0a0dfb01f738ad7c.png", "website": "https://www.sota2.com", "all_locations": "Seattle, WA, USA; Remote", "long_description": "Sota2 is Yelp for AI products. 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", "one_liner": "Help business find and discover AI solutions", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1647541720, "tags": [ "B2B", "Sales Enablement", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "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/sota2", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/sota2.json", "year_founded": 2020, "city": "Seattle", "country": "US", "linkedin_url": "", "x_url": "https://x.com/sota2_hq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8cca75ae8585f526a195b8ac0a0dfb01f738ad7c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 5992, "full_name": "Allan Jiang", "title": "Founder", "founder_bio": "Co-founder at VacationHomeRents. 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Investor of PageOne labs.", "is_active": true, "linkedin_url": "https://www.linkedin.com/pub/jianyu-li/37/923/268", "x_url": "https://twitter.com/ideapoet", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6a6067dcc5eabfbabb444a80917aa324d107d00a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98124, "title": "Wizwand - Discover SOTA research papers on AI and Machine Learning", "tagline": "Leaderboards for AI and Machine Learning methods based tasks and datasets", "body": "Introducing [Wziwand](https://www.wizwand.com): we help improve reproducibility and transparency in AI/ML research, by allowing research engineers to easily find, implement, and compare the performance of SOTA papers and methods.\n\n![uploaded image](/media/?type=post&id=98124&key=user_uploads/5992/f8f3f02d-30fd-4116-aa6b-a706323c241f)\n\n![uploaded image](/media/?type=post&id=98124&key=user_uploads/5992/f7859d08-2837-4aba-858b-dada5295ffa6)\n\n**Why it matters:**\n\nThe AI/ML boom hasn’t just increased the number of papers — it has fragmented the landscape. With thousands of preprints hitting arXiv each month, the “state of the art” (SOTA) in a specific niche can change over a weekend. For researchers and research engineers, the cognitive overhead of filtering through incremental gains to find true architectural breakthroughs has become unsustainable. Wizwand is built to help people track AI/ML research progress across a wide range of domains.\n\n**The challenge:**\n\nOver the past many years, several products have tried to solve this problem, but we’ve seen a few common issues:\n\n\\- **Table understanding is hard at scale**: Research papers tend to use non-standard tables, which makes extracting the right data points and their correct attributes challenging. A small mistake can produce a wildly incorrect result.\n\n\\- **Apples-to-apples comparison is difficult**: Should general image classification methods be compared with medical image classification methods? Should methods tested on the “same” dataset but different versions or splits be compared? When building benchmarks, there hasn’t been a good way to ensure truly apples-to-apples comparisons.\n\n**Wizwand solution:**\n\n\\- Table understanding at the paper level is made possible through a combination of LLMs, OCR, and rule-based pipelines. We can extract data points with complex attributes from tables with high accuracy, including non-standard tables.\n\n\\- We determine whether two methods are comparable using full-paper understanding — not just dataset and metric. This enables fairer, more meaningful benchmarks.\n\n**Team:**\n\nWe’re a team of CS/ML engineers from UC Berkeley, Google, Airbnb, and Microsoft.\n\n**Asks:**\n\n\\- We’re looking for feedback from research engineers and researchers to share your feedback and thoughts on how we can improve Wizwand to work better for you.\n\n\\- You can reach out to the founders directly at [allan@wizwand.com](mailto:allan@wizwand.com) or follow us on X ([@wizwand_team](https://x.com/wizwand_team)).", "url": "https://www.ycombinator.com/launches/PWe-wizwand-discover-sota-research-papers-on-ai-and-machine-learning", "votes": 6, "created_at": "2026-02-25T21:09:33.011Z" } ] }, { "id": 25394, "name": "InferEdge", "slug": "inferedge", "former_names": [ "Harmoney" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9ca294ba99345dad1e7a7357621f3373230c00cf.png", "website": "https://www.inferedge.com", "all_locations": "MH, India", "long_description": "InferEdge builds agentic AI for the buy-side - systems that run autonomously across research, portfolio management, and risk, for equity and fixed income. The point isn't generating a generic note - anyone can do that now. For example, when earnings season hits, our agents produce the quarter's coverage in your analysts' own tone and format, matching how your desk already writes, so it doesn't need a rewrite before it's usable. We build on top of LLMs, turning raw model capability into consistent and auditable workflows, not another stalled prototype.", "one_liner": "Agentic AI for buy-side firms", "team_size": 20, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1645537602, "tags": [ "Fintech", "B2B", "Enterprise Software", "Investments", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "Fintech" ], "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/inferedge", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/inferedge.json", "year_founded": 2021, "city": null, "country": "IN", "linkedin_url": "https://www.linkedin.com/company/inferedge-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/harmoney-in", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9ca294ba99345dad1e7a7357621f3373230c00cf.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": 599286, "full_name": "Aditya Mehta", "title": "Founder/CEO", "founder_bio": "I have been working at the intersection of financial services and technology for more than 8 years, first as a quant at Goldman Sachs and then in the core team at a lending startup Paysense (acquired for $185 Mn by Payu). I love finding problems in financial systems and figuring out solutions to improve them. I am a silver medalist from IIT Bombay.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adityamehta1990/", "x_url": "https://twitter.com/adityamehta1990", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/80c057674e7579990f91ae4513669d539ff9626b.jpg" }, { "user_id": 837620, "full_name": "Amal Dani", "title": "Founder", "founder_bio": "I enjoy solving problems from a data and technology perspective. Before Harmoney, I built portfolio management solutions using tech at Goldman Sachs and data-driven trading strategies at a $2 Bn hedge fund. I am a computer science grad from IIT Bombay.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/amal-dani-cfa-845555107/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/37b2ae01604aee086382ed9a09e98a33738d072a.jpg" }, { "user_id": 593284, "full_name": "Omkar Ghaisas", "title": "Founder", "founder_bio": "After graduation, I have spent the last eight years of my career in Corporate Finance and Wealth Management. I enjoy learning about and solving financial problems. I predominantly look after business development at Harmoney.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/omkar-ghaisas/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dbe518c2016eae5b30881de5dc4d8dd1cdd88caa.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 25712, "name": "Finnt", "slug": "finnt", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/76ced0ae663413325aa735ad7b15bae4019f286f.png", "website": "https://finnt.com", "all_locations": "", "long_description": "Finnt AI Agents run Controllership and Accounting procedures to accelerate time to close and increase accuracy. ERP-ready journals and financial reports delivered in under 5 minutes, with audit-trail and commentary. \r\n", "one_liner": "AI Agents for CFO and Finance teams", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1643292732, "tags": [ "Finance", "B2B", "Workflow Automation", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Inactive", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "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/finnt", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/finnt.json", "year_founded": 2022, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/finnt-app", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/finnt", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/76ced0ae663413325aa735ad7b15bae4019f286f.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": 545603, "full_name": "Anji Ismail", "title": "Founder/CEO", "founder_bio": "Repeat entrepreneur.\nAspiring astronaut.", "is_active": false, "linkedin_url": "https://linkedin.com/in/anjismail", "x_url": "https://twitter.com/anjismail", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1069242f1cce8f7425c1db1c05887b21275dd662.jpg" }, { "user_id": 845969, "full_name": "Faouzi EL YAGOUBI", "title": "Founder", "founder_bio": "Software expert with 10 years of experience focused on Software Engineering, Product Management.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/faouzi/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/591c1f5f17e05411c95b18c86a42194c694ca9b1.jpg" } ], "jobs": [], "news": [ { "title": "Finnt raises $3.5M seed to help cross-border families send, save, and spend money - 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I want to accelerate the adoption of clean tech in our society. I have a background in Physics, Smart electrical system and climate change. I studied in Sweden, Netherlands, Switzerland and India. I am an Indian, married to a Swiss/Japanese and live in Switzerland. I like food and travel. I became father recently. I want my child to live in a better world than mine. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/govindaupadhyay/", "x_url": "https://twitter.com/goviupadhyay", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/677648cf75273fed78d212c3681364b7bb0db406.jpg" }, { "user_id": 933149, "full_name": "Neeraj Dasila", "title": "Founder", "founder_bio": "Born and bred in a remote Himalayan hamlet, I learned early on how tech or even the smallest innovation can help improve the quality of life of people. With this vision, I studied Electrical Engineering at IIT Bombay and later worked on Connected Vehicles & Electric Mobility as a product manager at TATA. Then, I moved to the Govt. of India to work on sustainable energy transitions. Today, my aim is to build affordable & scalable solutions for all to tackle climate change.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/neerajkumardasila", "x_url": "https://twitter.com/dasila_neeraj", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3c72dd3d57dc9c9fef845f45982a8d74e333b986.jpg" } ], "jobs": [], "news": [ { "title": "How SmartHelio aims to fix solar panels before they break • TechCrunch", "url": "https://techcrunch.com/2022/12/14/smarthelio-predictive-maintenance/", "date": "Dec 14, 2022" }, { "title": "SmartHelio bags B Corporation Certification – pv magazine India", "url": "https://www.pv-magazine-india.com/press-releases/smarthelio-bags-b-corporation-certification/", "date": "Mar 15, 2022" }, { "title": "SmartHelio wins USD 150'000 as diamond winner at Masschallenge Switzerland", "url": "https://www.startupticker.ch/en/news/masschallenge-switzerland-2021-awardees-are-here", "date": "Nov 18, 2021" } ], "launches": [] }, { "id": 25737, "name": "Arintra", "slug": "arintra", "former_names": [ "Arintra", "Inc" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d63e7c7dfa79e75106d18dc572d76823b8a5b6b6.png", "website": "https://www.arintra.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Arintra is an enterprise AI platform for revenue assurance in healthcare, empowering health systems to get paid accurately, promptly, and fairly. Combining agentic AI with deep clinical expertise, Arintra autonomously codes every chart, explainably, across 23+ specialties and every care setting a health system operates — then cascades that intelligence across the revenue cycle through documentation intelligence (CDI) and denial appeals. Leading enterprise health systems including UC Davis Health, Mercyhealth, Meritus Health, Rochester Regional Health, Reid Health, Mercy Medical Center, and more use Arintra as their centralized, audit-ready revenue cycle platform. Arintra is available in the Epic Toolbox and on the athenahealth Marketplace, is HITRUST e1 certified, and earned a 93/100 with A+ performance rating from KLAS Research.", "one_liner": "Enterprise-grade AI for revenue assurance ", "team_size": 50, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1642832442, "tags": [ "SaaS", "Health Tech", "Digital Health", "Healthcare", "Enterprise Software" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "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/arintra", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/arintra.json", "year_founded": 2020, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/arintra", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d63e7c7dfa79e75106d18dc572d76823b8a5b6b6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 860610, "full_name": "Nitesh Shroff, PhD", "title": "Founder", "founder_bio": "Nitesh has a PhD in Machine Learning from the University of Maryland and 10+ years of silicon valley experience with over 30+ patents and publications. \n\nHe has significant startup experience — early engineer @ Zoox (unicorn acquired by Amazon), founding engineer @ Light. He has also been at Qualcomm R&D, MERL, Cisco and IIT madras.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nitesh-shroff-08855148", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/287acc72c16c4e0361876d9ef74cb3f2183f9a87.jpg" }, { "user_id": 361800, "full_name": "Preeti Bhargava, PhD", "title": "Founder", "founder_bio": "Preeti is the CTO and co-founder of Arintra. She holds a PhD in Computer Science from UMD, College Park. She has worked as a data scientist at several companies in the Silicon Valley such as Demandbase, Lithium Technologies | Klout, Samsung Research America and Xerox PARC where she developed her expertise in information extraction from social media data, big data modeling, and the Internet of Things. She has 30+ US patents and international publications. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/preetibhargava/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a14748835bbfa99e92af1915ffcac08103fb277f.jpg" } ], "jobs": [], "news": [ { "title": "Arintra Raises $25M to Pioneer Revenue Assurance for America's Health Systems", "url": "https://www.prnewswire.com/news-releases/arintra-raises-25m-to-pioneer-revenue-assurance-for-americas-health-systems-302860106.html", "date": "Aug 27, 2026" }, { "title": "Arintra nabs $25M for AI-driven revenue assurance", "url": "https://www.fiercehealthcare.com/finance/arintra-banks-25m-series-b-funding-round-ai-driven-revenue-assurance-platform", "date": "Aug 26, 2026" }, { "title": "Sequoia heats up early-stage startup investments in India and Southeast Asia | TechCrunch", "url": "https://techcrunch.com/2023/02/28/sequoia-heats-up-early-stage-startup-investments-in-india-and-southeast-asia/", "date": "Feb 28, 2023" } ], "launches": [] }, { "id": 25753, "name": "Airwork", "slug": "airwork", "former_names": [ "Litebulb Technologies Inc.", "Litebulb" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/56001462329ab8e4508e33bbe9a5568c23ef72a6.png", "website": "https://www.airworkhq.com", "all_locations": "Toronto, ON, Canada", "long_description": "Airwork is an on-demand labor marketplace for premium blue collar workers. You can get an Airworker the same way you get an Uber, except instead of a taxi, someone shows up at your work site to work for the day.\r\n\r\nAirwork fills 98% of shifts in 2 hours. We're currently live in 8 industries across Southern Ontario, Canada, and customers include Tesla, the Toronto Pearson Airport, and the CNE.\r\n\r\nWe're funded by YCombinator, Expa, Village Global, and SHL Capital.", "one_liner": "On-demand labour that's actually good", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Recruiting and Talent", "launched_at": 1641840585, "tags": [ "Marketplace", "B2B", "Recruiting", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Recruiting and Talent" ], "regions": [ "Canada", "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": "4 months after graduating from the YC W22 batch in March 2022, we realized our business wasn’t going to take off, so we pivoted. Our team kept circling around the problem of Canada’s labour shortage. Every day we were seeing supply chain delays, emergency rooms backed up, and restaurants understaffed. Canada is one of the most educated OECD countries (56% of adults have post-secondary education), yet somehow within just 2022, worker satisfaction dropped 3%, commitment to work dropped 6%, and satisfaction with salary dropped 10%.We realized there’s a unique opportunity to build a marketplace that offers flexible work for workers and an instant workforce on demand for businesses. This marketplace would pay a premium to workers while saving recruiting costs for businesses. It would also allow workers to pick up shifts wherever they want, whenever they want, while allowing businesses to post shifts based on demand. We believe Airwork is building Canada’s future of work." } ], "url": "https://www.ycombinator.com/companies/airwork", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/airwork.json", "year_founded": 2022, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/airworkhq", "x_url": "https://twitter.com/AirworkHQ", "fb_url": "https://www.facebook.com/AirworkHQ", "cb_url": "https://www.crunchbase.com/organization/AirworkHQ", "github_url": "https://github.com/airworkhq", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/56001462329ab8e4508e33bbe9a5568c23ef72a6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/5efcbf1aadb231203d3b8f5d45b0c7aae6b121bb.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 425576, "full_name": "Gary Lin", "title": "Founder", "founder_bio": "Founder/CEO at Airwork. Former engineer at Meta, Nauto, Yelp, NVIDIA. University of Waterloo Computer Science 2019 grad. Proud husband and dad.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/garyjlin", "x_url": "https://www.twitter.com/GaryJLin", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a020adfacd2f7a356ed8e8c74965bc837951918a.jpg" } ], "jobs": [], "news": [ { "title": "30 Under 30 Local 2023: Toronto", "url": "https://www.forbes.com/sites/forbesunder30team/2023/08/09/30-under-30-local-2023-toronto/?sh=22384b5237d2", "date": "Aug 30, 2023" }, { "title": "The Recruitment Revolution: 15 Viral-Worthy Canadian Startups Leading the Way – Canadian Venture", "url": "https://canadaventure.news/the-recruitment-revolution-15-viral-worthy-canadian-startups-leading-the-way/", "date": "Jun 01, 2023" }, { "title": "How Y Combinator Taught me What Really Matters When Building a Startup [Founder Story]", "url": "https://altar.io/y-combinator-taught-me-what-really-matters-when-building-a-startup/", "date": "Feb 10, 2023" }, { "title": "Airwork gives every Canadian the power to control their work schedule", "url": "https://madeinca.ca/gary-lin-airwork/", "date": "Jan 05, 2023" }, { "title": "Canadian startups in Y Combinator tie all-time high at Winter 2022 Demo Day | BetaKit", "url": "https://betakit.com/canadian-startups-in-y-combinator-tie-all-time-high-at-winter-2022-demo-day/", "date": "Mar 30, 2022" } ], "launches": [ { "id": 73045, "title": "🇨🇦 Airwork - Canada's on-demand frontline workforce", "tagline": "We connect Canadian businesses with the top 5% of general and skilled labourers within 2 hours", "body": "**tldr; Canada is facing a skilled labour shortage. Airwork is solving this by connecting businesses with the top 5% of general and skilled labourers on a flexible basis. Companies can fill any shift within 2 hours, and workers can work on their own terms. Check us out at **[**airwork.io**](http://airwork.io)**!**\n\nHey everyone, 👋\n\nI’m [Gary](https://www.linkedin.com/in/garyjlin/), the founder of [Airwork](https://airwork.io). We’re a team of 5 building a marketplace to solve Canada’s labour shortage and give everyone the power to work on their own terms.\n\n### **Problem: Canadian businesses are struggling with staffing**\n\n![uploaded image](/media/?type=post&id=73045&key=user_uploads/425576/dbbd3422-576c-41db-aab8-2ae66e7c6bb0)\n\nIn Q4 of 2022, 36.9% of all Canadian businesses experienced difficulties hiring skilled labourers, led by construction (49.5%), manufacturing (47.4%), and food services (46.3%). We spoke to over 100 companies, and more than half have experienced one of these within the last 90 days:\n\n👎 Candidate doesn’t show up to interview\n\n👎 Candidate signs offer but doesn’t show up on the first day\n\n👎 Employee quit without notice\n\n👎 Employee consistently shows up late or leaves early\n\n👎 Skilled labour positions go unfilled for months due to lack of applicants\n\n### **🎉 Solution: Airwork 🎉**\n\nAirwork is an on-demand labour marketplace that lets managers book vetted workers online within minutes. We spent the last year building in private beta and are now launching in **public beta**! 💪 🚀 📈\n\nAirwork’s vetting process involves a resume screen, attendance test, background check, and video interview. As a result, out of tens of thousands of applicants, only the top 5% are selected.\n\nWe’re live the Greater Toronto Area, just expanded to all of Southern Ontario, and plan to expand across Canada.\n\n![uploaded image](/media/?type=post&id=73045&key=user_uploads/425576/78a4a429-d2f2-4752-82b5-83f74d4e9656)\n\nTo date, Airworkers have filled skilled and general roles for:\\\n1\\. Manufacturing plants\\\n2\\. Warehouses and logistics companies\\\n3\\. Construction companies\\\n4\\. Events, conferences, and weddings\\\n5\\. Commercial cleaning and facility services\\\n6\\. Commercial printing\n\nWorkers can download Airwork on the Apple App Store or Google Play Store and apply to become an Airworker. Airworkers can book shifts nearby and get paid within the same day.\n\n![uploaded image](/media/?type=post&id=73045&key=user_uploads/425576/4fe06d68-03a9-44ec-b1d0-2a860ba9d9ff)\n\nOur business portal also enables managers to create shifts, manage rosters, trigger backfills, and track time sheets all in one place. We also automate administrative and compliance complexities, reducing the overhead of workforce management:\n\n✅ WSIB insurance coverage\\\n✅ RCMP-backed criminal record checks\\\n✅ Payroll and time-tracking\\\n✅ Automated backfilling\n\n![uploaded image](/media/?type=post&id=73045&key=user_uploads/425576/8890f4bb-d0a4-41e8-9421-eb96fc0fbe05)\n\n### **Do you need workers?**\n\nAre you in Southern Ontario? Sign up for a free account at [airwork.io](http://airwork.io) and try us out! If not, reach out to [gary@airwork.io](mailto:gary@airwork.io) to join your city’s waitlist.\n\n### **Do you know someone that might need workers?**\n\nSend a referral to [gary@airwork.io](mailto:gary@airwork.io). Once your referee books 10 shifts on Airwork, we’ll give you a $1,000 CAD referral bonus! 💸\n\n### **Do you want to take control of your work schedule?**\n\nDownload our app on the [App Store](https://apps.apple.com/ca/app/airwork/id1644979123) or [Play Store](https://play.google.com/store/apps/details?id=io.airwork.Llama) and get apply to become an Airworker today! 💪", "url": "https://www.ycombinator.com/launches/J09-airwork-canada-s-on-demand-frontline-workforce", "votes": 23, "created_at": "2023-07-13T19:36:14.142Z" } ] }, { "id": 25822, "name": "Rome AI", "slug": "rome-ai", "former_names": [ "Rome" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b3ce533baa712c5f3600e9396283ebfae0b33da7.png", "website": "https://rome.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Rome AI (formerly Rome Trucking) started in 2022 as a freight marketplace for truck drivers. We helped 80+ drivers earn up to 40% more by finding 10x more loads. What we learned there pointed us toward something bigger, and that's what we're building now, in stealth. More soon.", "one_liner": "AI lab in San Francisco", "team_size": 1, "industry": "B2B", "subindustry": "B2B", "launched_at": 1648261394, "tags": [ "Consumer", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "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/rome-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/rome-ai.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ai-rome", "x_url": "https://x.com/RomeAIHQ", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/rome", "github_url": "https://github.com/rome-hq", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b3ce533baa712c5f3600e9396283ebfae0b33da7.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 693414, "full_name": "Craig Weiss", "title": "Founder/CEO", "founder_bio": "Craig Weiss is the founder and CEO of Rome AI (YC W22). He was engineer #20 at Scale AI, building the 3D data labeling pipeline that trained self-driving cars for the industry's biggest names. Before that, he was an engineer at Google, Facebook, Snap, Lyft and NASA.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/craigweiss28", "x_url": "https://x.com/craigweiss", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7d0696b0139594cce67d9a63f12ba15d77529452.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 25825, "name": "Bemlo", "slug": "bemlo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/436449d1833b1fb6d3ab4c8e9c5b39b043999ec1.png", "website": "https://www.bemlo.com/en", "all_locations": "Stockholm, Stockholm County, Sweden", "long_description": "Bemlo is an AI-driven workforce management platform, specifically tailored for the healthcare and social care sectors, with automated scheduling as its cornerstone. The system generates optimal schedules that balance care demands with employee preferences, freeing up valuable time for patient care, enhancing workplace satisfaction, and promoting more efficient collaboration within organizations.", "one_liner": "AI-native scheduling and workforce management platform for healthcare", "team_size": 13, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1644836067, "tags": [ "SaaS", "B2B", "Healthcare", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "Sweden", "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/bemlo", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/bemlo.json", "year_founded": 2021, "city": "Stockholm", "country": "SE", "linkedin_url": "https://www.linkedin.com/company/bemlo", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/bemlo", "github_url": "https://github.com/bemlo", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/436449d1833b1fb6d3ab4c8e9c5b39b043999ec1.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": 916397, "full_name": "Alexander Björkenstam", "title": "Founder", "founder_bio": "Hey, I’m Alex! I like building stuff 🧑‍💻", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexander-bjorkenstam/", "x_url": "https://twitter.com/BjorkenstamAlex", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9cb4e4af9ddcc5b2cb29fde0aee5daaa10fbf530.jpg" }, { "user_id": 915150, "full_name": "Edvin Fernqvist", "title": "Founder", "founder_bio": "During the onset of the Corona pandemic I looked for ways to help out and started to source and produce PPE. Coming in contact with the hard pressed nurses and doctors working in ICUs and other facilities I soon found there were other more pressing issues to be solved. When I met my co-founders we decided to band together to create Bemlo and reverse the deteriorating situation we saw in healthcare staffing and recruiting.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/edvin-fernqvist-88102616a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/58e1543eab043a9f90b3c673a715abdf4dea6825.jpg" } ], "jobs": [ { "id": 78510, "title": "Forward Deployed Engineer at Bemlo (W22)", "url": "https://www.ycombinator.com/companies/bemlo/jobs/iu2fXpd-forward-deployed-engineer-at-bemlo-w22", "location": "Stockholm, Stockholm County, SE", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$90 - $160", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 78549, "title": "Fullstack Engineer at Bemlo - Linear for healthcare scheduling (W22)", "url": "https://www.ycombinator.com/companies/bemlo/jobs/q1Hs2XA-fullstack-engineer-at-bemlo-linear-for-healthcare-scheduling-w22", "location": "Stockholm, Stockholm County, SE", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$90 - $160", "equity_range": "0.50% - 1.50%", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [ "Node.js", "React", "TypeScript" ] } ], "news": [ { "title": "How the problem of hiring healthcare staff has become a fertile ground for startups – TechCrunch", "url": "https://techcrunch.com/2022/07/29/how-the-problem-of-hiring-healthcare-staff-has-become-a-fertile-ground-for-startups/", "date": "Jul 29, 2022" } ], "launches": [] }, { "id": 26264, "name": "Jutsoo", "slug": "jutsoo", "former_names": [ "Bananas" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/69eb01b9a77c8101b0acffcb7de83b989be1a2ed.png", "website": "https://www.jutsoo.com/", "all_locations": "Jakarta, Jakarta, Indonesia; Remote", "long_description": "Jutsoo is a modern treasury management platform that helps finance teams work smarter by having efficient, reliable, real-time visibility and control over their financial data across their different banks and bank accounts.\r\n\r\nWe do this by unifying data from internal systems, integrating directly with banks for your money movements, and reconcile them automatically.\r\n\r\nMoney movements, reconciliations, cash forecasting, and identifying liquidity trends will be a breeze using us.", "one_liner": "All your corporate bank accounts connected under one platform", "team_size": 12, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1643226584, "tags": [ "FinOps", "Fintech", "SaaS", "B2B", "Enterprise Software" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "Indonesia", "Southeast Asia", "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/jutsoo", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/jutsoo.json", "year_founded": 2021, "city": "Jakarta", "country": "ID", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/69eb01b9a77c8101b0acffcb7de83b989be1a2ed.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 897704, "full_name": "Mario Gaw", "title": "Founder", "founder_bio": "Mario Gaw is the co-founder and CEO of Bananas. Together with Kristian Sinaulan, he wanted to change how people do groceries in today's world where spare time is better spent on quality time with family rather than doing weekly grocery shopping. He has extensive experience in e-commerce from his days in Lazada Indonesia (Rocket Internet venture acquired by Alibaba), payments in helloPay Indonesia (merged with Alipay), and building products like Cashbac (an instant rewards loyalty mobile app).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mariogaw/", "x_url": "https://twitter.com/mariogaw", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2ba161d0d10408464a952ef98a8119d40da9352e.jpg" }, { "user_id": 898351, "full_name": "Kristian F H Sinaulan", "title": "Founder", "founder_bio": "Kristian Sinaulan is the co-founder and CTO of Bananas. Together with Mario Gaw, he wanted to change how people do groceries in today's world where spare time is better spent on quality time with family rather than doing weekly grocery shopping. He has been building teams and products in several industries ranging from Telcos, E-Commerce, Payments, Loyalty Systems. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kristian-sinaulan", "x_url": "https://twitter.com/sinaulank", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4f60ae07013550af6de8b333675a0e0fc7017580.jpg" } ], "jobs": [], "news": [ { "title": "East Ventures leads $1.5m round of ex-Tiket exec’s quick commerce firm", "url": "https://www.techinasia.com/extiket-execs-quick-commerce-firm-bananas-nets-15m-east-ventures", "date": "Feb 07, 2022" } ], "launches": [] }, { "id": 26792, "name": "Activepieces", "slug": "activepieces", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0e3da00ac0f6b66a7e896be53679d01b6fe5fd45.png", "website": "https://www.activepieces.com", "all_locations": "San Francisco, CA, USA", "long_description": "Activepieces is an open-source (MIT) business automation software.\r\nFor example, you can build automations to receive email and Slack notifications about new contacts add to your HubSpot CRM.", "one_liner": "Open-source, AI-first and no-code business automation tool", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1657116357, "tags": [ "Workflow Automation", "Open Source", "No-code", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "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/activepieces", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/activepieces.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/activepieces/", "x_url": "https://twitter.com/activepieces", "fb_url": "https://www.facebook.com/activepieces", "cb_url": "https://www.crunchbase.com/organization/activepieces", "github_url": "https://github.com/activepieces/activepieces", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0e3da00ac0f6b66a7e896be53679d01b6fe5fd45.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": 138932, "full_name": "Ashraf Samhouri", "title": "Founder/CEO", "founder_bio": "Ended up responsible for growing our ARR so I guess I do sales from the perspective of a software engineer, on a mission to make AI a native part of enterprise through open source automation (aka Activepieces)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ashrafsam", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e91e5e9ed7c7a1da6530ccd4dee552e196bbfe3d.jpg" }, { "user_id": 724168, "full_name": "Mohammad AbuAboud", "title": "Founder/CTO", "founder_bio": "I love building cool stuff. Started programming at 13 and never looked back—turns out, breaking things is the fastest way to learn.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mohammad-abuaboud/", "x_url": "https://mobile.twitter.com/mabuaboud", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b9a11f094d4568c74704be4223fe03b4eeeac74e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 68665, "title": "Activepieces – Open source alternative to Zapier", "tagline": "No-code business automation that is open-source and can be self-hosted.", "body": "**tl;dr** You can now host an equivalent software to Zapier to automate your work. You can automate your sales process, marketing operations or back-office without writing code (or with, if you’d like to).\n\n—\n\nHi everyone!\n\nWe're [Mohammad](https://www.linkedin.com/in/mohammad-abuaboud/) (ex-Google) and [Ashraf](https://www.linkedin.com/in/ashrafsam) (3x founder), and here is what we’re building 👇\n\n### 💔 **Problem**\n\nIt can quickly get **too expensive 💰** to use automation tools like Zapier, and if you can’t or hate to **send your data to 3rd parties** [**🔒**](https://emojipedia.org/locked/) it’s already challenging to use these tools.\n\n### 🕺 **Our Product**\n\nActivepieces is a no-code business automation tool. It’s open-source (MIT licensed) and can be self-hosted on your servers.\n\nHere is a 2-min video by our founding engineer Abdul, who’ll explain how to automate sending notifications about a new **Pipedrive** Person to **Slack** and **Email**.\n\nhttps://www.youtube.com/watch?v=IY4TI6jGBwM\n\n### ❇️ **Difference from Zapier**\n\nWhile Zapier offers a cloud service, Activepieces is:\n\n1. **Self-hosted:** You can keep your data on your servers (helpful for data privacy).\n2. **Open-source:** the platform and the connectors (don’t wait for us to build the connector).\n3. **Free** (helpful for .. your pocket).\n\n### 🖌️ **Use Cases**\n\nWe’re working with some users at companies to:\n\n* Automate lead flow: from blogs to MailChimp and CRMs.\n* Centralize notifications: from marketing/sales to Slack workspace.\n* Automate operations: a company is using us to convert pdfs to text, summarize them and submit them to their proofreading team.\n\n### 🟢 **Status**\n\nWe just launched with **15 apps** including OpenAI, HubSpot, MailChimp, Stripe, Pipedrive, Gmail, SendGrid — and adding more.\n\nOur focus is to build the free product and the community around it. Later, we’ll make money from enterprise features.\n\n### 🙏 **Our Ask**\n\nYou can try out Activepieces on the [Playground](https://demo.activepieces.com/sign-up?utm_source=launch&utm_medium=post&utm_campaign=launch_yc) and we’ll be happy if you give us a star ⭐ on our [GitHub repo](https://github.com/activepieces/activepieces)!\n\n### 🖇️ **All links**\n\n* Website: [www.activepieces.com](http://www.activepieces.com?utm_source=launch&utm_medium=post&utm_campaign=launch_yc)\n* Github repo (star us maybe?😳❤️): [https://github.com/activepieces/activepieces](https://github.com/activepieces/activepieces?utm_source=launch&utm_medium=post&utm_campaign=launch_yc)\n* Playground: [https://demo.activepieces.com](https://demo.activepieces.com/sign-up?utm_source=launch&utm_medium=post&utm_campaign=launch_yc)\n* Community (Discord): https://discord.gg/2jUXBKDdP8\n\nI’ll be happy to help anyone get set up (or grow out of Zapier): [founders@activepieces.com](mailto:founders@activepieces.com)", "url": "https://www.ycombinator.com/launches/HrV-activepieces-open-source-alternative-to-zapier", "votes": 45, "created_at": "2023-01-24T18:10:00.535Z" } ] }, { "id": 26818, "name": "Hypestream", "slug": "hypestream", "former_names": [ "Metafi", "Pivot" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/65c3d48f8f2c1fa85722638c957dba4e3a035637.png", "website": "https://www.hypestream.io/", "all_locations": "Singapore, Singapore; Remote", "long_description": "We help livestream sellers get more sales.", "one_liner": "We help livestream sellers get more sales.", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1661470428, "tags": [ "SaaS", "B2B", "Enterprise Software" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B" ], "regions": [ "Singapore", "Southeast Asia", "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/hypestream", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/hypestream.json", "year_founded": 2025, "city": "Singapore", "country": "SG", "linkedin_url": "https://www.linkedin.com/company/pivot-xyz/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/65c3d48f8f2c1fa85722638c957dba4e3a035637.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": 674420, "full_name": "Raimie Tang", "title": "Founder", "founder_bio": "Building Hypestream, software that helps livestream sellers get more sales. \n\nPrior to Hypestream, we built and exited dateideas, after scaling it to $1M+ GMV in under 15 months. It was profitable from Day 1. During exit, dateideas had a community of 70,000+ couples and was reaching 500,000+ people every month. The company continues to run and is still growing today.\n\nWas fortunate to study in NUS & Stanford University. Beyond startup life, family means the world to me.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/raimie-tang/", "x_url": "https://twitter.com/raimietang", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/168e1b3ff21eb16cf38a7ce497e474b5c10ecfd2.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "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\\\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": 26876, "name": "Zoltar Labs", "slug": "zoltar-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8c6e0f60f05c93e4aa70e811f7fa2df38afbb600.png", "website": "https://www.zoltarlabs.com/", "all_locations": "New York City, NY, USA; Mountain View, CA, USA", "long_description": "", "one_liner": "AI-assisted CX tool built with your knowledge.", "team_size": 9, "industry": "B2B", "subindustry": "B2B", "launched_at": 1655313874, "tags": [ "SaaS", "Customer Success", "Customer Support", "Enterprise Software" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Inactive", "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/zoltar-labs", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/zoltar-labs.json", "year_founded": 2021, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/zoltar-labs", "x_url": "https://twitter.com/ZoltarLabs", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/zoltar-labs", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8c6e0f60f05c93e4aa70e811f7fa2df38afbb600.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 849908, "full_name": "Jensen Kuo", "title": "Founder/CEO", "founder_bio": "Co-Founder and CEO at Zoltar Labs. Previously engineering @LinkedIn and @Yelp. Cornell CS Alum.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/jensenkuo/", "x_url": "https://twitter.com/jensiepoo", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0799a75c6f296b1fa6fa404afaae84abc6b3de26.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 64209, "title": "🚀 Zoltar | AI-assisted CX tool built with your knowledge. ⚡️", "tagline": "🧗 On a mission to reimagine CX operations", "body": "Hey Fam 👋\n\nJensen and James from [@Zoltar Labs](https://ycombinator.com/companies/zoltar-labs) here! Zoltar is the most efficient way for CX teams to handle support requests through AI-powered automation.⚡️\n\n---\n\n**What is Zoltar 💡**\n\nZoltar is an AI system trained to handle customer support requests with actions from a company's APIs. Examples of use cases include: 1) helping e-commerce marketplaces automate customer requests to process an item exchange or track order status, 2) helping freight marketplaces automate customer requests to change a delivery address. \n\nZoltar can be deployed across different support channels including live chats and emails, and is integrated with Intercom / Zendesk / Salesforce / Kustomer so companies can leverage existing systems to resolve user issues more efficiently. \n\n**Who is This For 👶**\n\nCompanies that spend extra time and headcount to process repetitive customer requests, such as:\n\n* ✍️ Tracking orders or returns/refunds\n* ❓Questions related to canceling orders, user accounts being blocked, reactivating user subscriptions, etc\n* Any other repetitive inquiries that your reps are faced with\n\n---\n\n**Why We Built This 😷**\n\nWhen customers contact support, they expect resolution right then and there.\n\nMost AI tools / chatbots on the market today are limited to extracting and presenting information to customers, and cannot offer direct resolutions to customer problems. That means something as simple as changing details about a purchase (in the case of e-commerce, for example) still requires a human rep to resolve. We believe there is a much more efficient way to serve customers.\n\nUnlike common AI chatbots, Zoltar takes action on your customers’ queries with the appropriate API calls, alleviating support reps from manually processing customer requests or performing repetitive tasks.\n\n---\n\n**We’d Love to Hear From You** 🤝\n\nEmail us at [jensen@zoltarlabs.com](https://mailto:jensen@zoltarlabs.com) or [james@zoltarlabs.com](https://mailto:james@zoltarlabs.com) if…\n\n* You are a founder/business owner looking to automate customer tasks that were traditionally done manually \n* You are a COO/CTO/customer ops/customer support director looking to increase support efficiency and reduce cost-per-contact\n\n---\n\n**Sign up for our** [**demo**](https://www.zoltarlabs.com/) **today!**", "url": "https://www.ycombinator.com/launches/Ghd-zoltar-ai-assisted-cx-tool-built-with-your-knowledge", "votes": 439, "created_at": "2022-06-30T02:36:56.264Z" } ] }, { "id": 27047, "name": "Plutto", "slug": "plutto", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/73b6704b442fafacacd64a71fafe1899c3d11a6c.png", "website": "https://getplutto.com/", "all_locations": "Santiago, Santiago Metropolitan Region, Chile", "long_description": "Plutto is a supply-chain risk management and compliance platform for Latin America. We automate due diligence, compliance checks, and conflict-of-interest reviews—helping corporates across LatAm work with vendors and contractors safely.", "one_liner": "Supply-chain risk management and compliance platform for Latin…", "team_size": 20, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1657201173, "tags": [ "Fintech", "Identity", "Latin America", "Enterprise Software" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "Chile", "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/plutto", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/plutto.json", "year_founded": 2022, "city": "Santiago", "country": "CL", "linkedin_url": "https://www.linkedin.com/company/plutto", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/73b6704b442fafacacd64a71fafe1899c3d11a6c.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": 890662, "full_name": "Antonia San Martin", "title": "Founder", "founder_bio": "Worked at Heineken and Nike.\nCo-founded a travel startup for 1 year.\nNow I’m CEO @ Plutto, building verification service for businesses in Latin America.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/antoniasanmartinsola/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eec5d2c3c3657fe3e4bf2fc4dd52b98666c13426.jpg" }, { "user_id": 982126, "full_name": "Felipe Domínguez", "title": "Founder", "founder_bio": "Fullstack Dev for some years, now co-founder @ Plutto. \nI spend a lot of time in the mountains. \n", "is_active": true, "linkedin_url": "http://linkedin.com/in/fdominguezc", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c43fec48919ef86d4ed15645fd81c9af5c1a2280.jpg" }, { "user_id": 547013, "full_name": "Ignacio Márquez", "title": "Founder", "founder_bio": "Graduated as Software Engineer. Worked a couple years as a full-stack developer and scrum master in Platanus, Chile. Co-founded a travel startup for 1 year.\n\nNow I'm CTO @ Plutto, building KYB solutions for Latin America.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ignaciomarquezc/", "x_url": "https://twitter.com/iMarquezc", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/41ca14f3cd19638bf2b82772ff4191cae981864d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 64411, "title": "Plutto, business background checks for LatAm", "tagline": "Meet the business verification tool that increases your on-boarding speed from weeks to minutes", "body": "“I’m sorry but we’re not going to accept your investment. At the moment we’re not taking business clients”. This was the answer we got from a fintech that got us to start Plutto right away.\n\n### **Hey YC!**\n\nWe’re Antonia, Ignacio, Felipe and Sebastián and we’re the co-founders of Plutto! **We help financial services to verify and validate their business customer in minutes for LatAm.**\n\n### **So, what’s the problem?**\n\nBusiness information is all over the place in LatAm.\n\nIf you’re a fintech, bank, payment company, or basically anyone who needs to onboard B2B clients, chances are you spend a lot of time gathering information to know who you are dealing with, and sometimes, to be compliant with the law. This process is called Know Your Business (KYB).\n\nThis a **time-consuming and expensive** process that usually involve lawyers and other people to be completed. **A business can wait up to 3 months to open a bank account in Chile** and other countries in LatAm.\n\nWe allow our clients to solve this problem in a fast and automated way.\n\n### **How does it work?**\n\nThe only thing we need is your client’s company registration number (TIN equivalent) and we **gather the information for you**. This can be done using our dashboard or API. We also help our customers to request private documents that can’t be obtained from any source providing a white label on-boarding form. We also process and review the information of this documents so they don’t have to be manually reviewed.\n\nThe outcome is a company profile with all the information, documents and on-boarding steps our clients need **to make a solid decision.**\n\n### **This is something that had to be done!**\n\nIn previous experiences we struggled with this problem, paying up to $100 per customer on-boarding and waiting weeks until they were done. Some of our clients take less than 10 minutes to validate their users and we charge between 6-20 bucks for it.\n\nAs we hinted at the start, we once tried to invest our company’s money in a Chilean fintech and get rejected because they were not accepting business clients due to this issue. Absolute madness. We started on this idea the following day.\n\n# How can you help us?\n\nAt the moment we’re working with our first 6 clients in Chile and we’re looking to expand to other LatAm countries. Specially Perú, Colombia and Mexico so any of the following **introductions or meetings** will be much appreciated:\n\n* People who **work in the on-boarding or legal team** in a B2B LatAm fintech.\n* Someone who is **an expert in law and regulation for fintech**, banks or any other business that requires KYB (Know Your Business) in 🇵🇪, 🇨🇴, 🇨🇱 or 🇲🇽.\n* Any fintech or company that might need our services in the region.", "url": "https://www.ycombinator.com/launches/Gkt-plutto-business-background-checks-for-latam", "votes": 31, "created_at": "2022-07-07T14:34:17.524Z" } ] }, { "id": 27696, "name": "Novelcare", "slug": "novelcare", "former_names": [ "Recomp", "Resync", "Workpage", "Resync", "SelectIQ" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7c996f3a2f99cc3139f3821e758390c21efe8183.png", "website": "https://www.novelcare.com", "all_locations": "New York City, NY, USA; Remote", "long_description": "Novelcare addresses the primary bottleneck in drug development: recruiting patients into clinical trials.\r\n\r\nWe analyze electronic health records to help doctors find clinical trials for their patients, and to help trial sites find patients for their studies. 72% of doctors want to inform their patients of clinical trials, but only 5% do. We're on a mission to close that gap, ultimately bringing safer, more effective drugs to the patients who need them.", "one_liner": "Empowering every doctor and every patient to participate in research", "team_size": 5, "industry": "Healthcare", "subindustry": "Healthcare -> Drug Discovery and Delivery", "launched_at": 1677470068, "tags": [ "Health Tech", "B2B", "Healthcare", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "Healthcare", "Drug Discovery and Delivery" ], "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": [ { "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 pace of progress in modern medicine is currently controlled by one thing: how quickly can you fill a clinical trial?---There is no shortage of novel molecules, there is no shortage of petri dish experiments, and there is no shortage of incentive to bring a drug to market. The bottleneck is clinical trials, and the bottleneck on almost every clinical trial is patient recruitment.---**Most trial recruitment tools are sugar on top of Facebook Ads. SelectIQ is instead helping patients learn about clinical trials the way they overwhelmingly prefer to: from their doctor.*** \\>70% of doctors want to tell their patients about clinical trials* <5% of doctors have ever referred a patient to a clinical trialWhy the gap? Doctors are notoriously overworked, experiencing record levels of burnout, and get to spend just a few minutes with each patient. Understanding which trials are available and whether their patient meets the complex eligibility criteria is a tall order. SelectIQ removes this burden from healthcare providers.---**We’re building a Provider Activation Platform that enables trial sites to build, maintain, and leverage a network of referring healthcare providers**, ensuring every patient is aware of every treatment option available to them. The first piece is automating _chart review_, the process by which a medical professional reads the patient’s record to assess whether they’re worth contacting about a study." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "If we succeed, we will dramatically accelerate the pace and reduce the cost-risk profile of drug development. Our loved ones will have better treatment options available when they inevitably need them." } ], "url": "https://www.ycombinator.com/companies/novelcare", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/novelcare.json", "year_founded": 2022, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/selectiq-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7c996f3a2f99cc3139f3821e758390c21efe8183.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": 1159854, "full_name": "Ethan Bond", "title": "Founder", "founder_bio": "Ethan is the co-founder and CEO of SelectIQ. Prior to SelectIQ, Ethan was a product strategist at Palantir where he led product development into multiple new verticals, most recently helping to build Palantir's nascent life sciences division. Ethan is a product designer and software engineer by training, having *almost* graduated from Rensselaer Polytechnic Institute.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ethanbond/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8998c58707458dabdd6027469934990fc1c16d20.jpg" }, { "user_id": 90470, "full_name": "Jason Marmon", "title": "Founder", "founder_bio": "Jason is the co-founder and CTO of SelectIQ.\n\nPrior to SelectIQ, Jason worked at Palantir on life sciences software and led Palantir's Data Governance product team. Previously, he co-founded Skylight, an NYC real estate app acquired by Common Living. He's also a 2015 Thiel Fellow.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jtmarmon/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/39e84ac411a6dcadada52846f52ca3c9fe022dd9.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 27701, "name": "Backdrop", "slug": "backdrop", "former_names": [ "Sphere", "Twig", "Backdrop", "Backdrop (previously Twig)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ef96baea5567e19f4ad9f5f92c3cb740d9f0f09f.png", "website": "https://www.backdropagent.com", "all_locations": "Seattle, WA, USA", "long_description": "Backdrop is a platform for building AI coworkers around the work you actually need done.\r\n\r\nStart with an existing coworker or create your own for almost anything. Research a market, prepare client updates, run outreach, create campaigns, analyze customer feedback, build dashboards, monitor orders, coordinate projects, test products, handle recurring admin, or build a workflow completely specific to your business.\r\n\r\nConnect the systems where the work already happens, including Slack, Gmail, Google Drive, HubSpot, Shopify, Jira, Asana, Linear, GitHub, Notion, and more. You control what each coworker can access, what it can do, and which actions need approval.\r\n\r\nBackdrop works just as well when one person wants to hand off a job to AI. But it is also built for something today’s 1:1 AI doesn’t handle well: working together.\r\n\r\nEmployees, AI coworkers, clients, and partners can collaborate in shared conversations and workflows. One agent can bring in another. Work can move between people and agents without everyone starting a new chat and rebuilding the context from scratch.\r\n\r\nBackdrop builds shared company memory from the work happening across your company. Decisions, conversations, feedback, documents, project history, and activity across connected tools can become context that people and AI coworkers can use later. A coworker can understand what happened before, another agent can build on what was already learned, and a teammate can understand why something was done without digging through old threads or systems.\r\n\r\nThe result is AI that works for an individual when that’s all you need, but can also become part of how the whole company works.\r\n\r\nBackdrop can support businesses ranging from agencies and e-commerce companies to manufacturers, service businesses, SaaS teams, and more, because you build the coworkers around your work, not a fixed template.", "one_liner": "Building your AI coworkers for any team, workflow, or industry. ", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1677171652, "tags": [ "Fintech", "B2B", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "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": null, "url": "https://www.ycombinator.com/companies/backdrop", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/backdrop.json", "year_founded": 2023, "city": "Seattle", "country": "US", "linkedin_url": "https://www.linkedin.com/company/joinbackdrop/", "x_url": "https://twitter.com/JoinBackdrop", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/twig-25f4", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ef96baea5567e19f4ad9f5f92c3cb740d9f0f09f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/9b1cb40e70e8b2645590d8611ff32f876bf104c5.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/6b34abc5241a0abc570fe3e1ff6e974bda38fdf3.png" ], "primary_partner": null, "founders": [ { "user_id": 993183, "full_name": "Akanksha Singh", "title": "Founder", "founder_bio": "Hire your first AI product team.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/akanksha-singh/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8abbaa2faf99cfb14d116e59668b31f6139a55f8.jpg" }, { "user_id": 1195640, "full_name": "Caitlin Short", "title": "Founder", "founder_bio": "Building your AI coworkers for any team, workflow, or industry. Move beyond 1:1 AI with shared memory and collaboration.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/caitlin-short/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5868eb7d624404cd7853aff3e93d32c76428f691.jpg" } ], "jobs": [], "news": [ { "title": "U-M alums bring better finance tech to entertainment", "url": "https://cse.engin.umich.edu/stories/u-m-alums-bring-better-finance-tech-to-entertainment", "date": "Mar 19, 2024" }, { "title": "Akanksha Singh", "url": "https://www.forbes.com/profile/akanksha-singh/?sh=f0bcb2236767", "date": "Nov 28, 2023" }, { "title": "Backdrop: Spearheading Technological Transformation", "url": "https://blog.artistconnect.de/backdrop/", "date": "Jul 25, 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" } ], "launches": [] }, { "id": 27703, "name": "Dashdive", "slug": "dashdive", "former_names": [ "Fleat", "Ferment Technologies", "Rosettic" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6b6df4ea1d773219dccecb0fefc99b7b3e5052c8.png", "website": "https://dashdive.com", "all_locations": "San Francisco, CA, USA", "long_description": "Dashdive attributes AI/LLM and cloud costs to customers, teams and products at the endpoint invocation level using observability tools. This allows software companies to optimize their pricing and evaluate the profitability of each product.", "one_liner": "Break down AI and cloud costs by feature and customer", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1678386689, "tags": [ "FinOps", "SaaS", "Enterprise Software" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "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/dashdive", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/dashdive.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/dashdive/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/dashdive", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6b6df4ea1d773219dccecb0fefc99b7b3e5052c8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1165030, "full_name": "Micah Wheat", "title": "Founder", "founder_bio": "Growth at SID AI (S23)", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/micah-wheat/", "x_url": "https://twitter.com/micahawheat", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bd7cd3973521c98a4c247954b3c10c02ea837622.jpg" }, { "user_id": 1046474, "full_name": "Adam Shugar", "title": "Founder", "founder_bio": "", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/adamshugar/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1c44104afa6f73732cc7858e71ffb9038ebdef55.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 70237, "title": "Dashdive — Break down cloud costs by feature and customer", "tagline": "The only tool that shows per-feature and per-customer cloud costs.", "body": "[Dashdive](http://dashdive.com) attributes AWS, GCP, Azure and other cloud services costs to features, products, teams and customers. These data help companies understand how their profitability breaks down by product and customer, allowing them to make optimal strategic decisions about pricing, resource allocation and cloud architecture.\n\n### Problem\n\nMost tech companies **don’t know how much it costs to serve each of their customers with each of their products**. Cloud costs are typically a tech company’s second-largest cost (after personnel), and they can vary significantly even on a per-unit basis, i.e. irrespective of volume.\n\nWithout per-customer and per-product cost information, companies can’t reliably know:\n\n1. What’s our margin on Customer A?\n2. What’s our margin on Product B?\n3. Which usage events drove Customer C’s costs last month?\n4. What are our costs likely to be on new Customer D?\n\nNormally, if an engineering or finance team wants to know the answer to one of these questions, they have to either 1) **make an estimate that could be wildly inaccurate** based on average total costs or 2) “**track down an engineer** to run experiments in AWS.” (That was a direct quote from a CFO.)\n\n### Solution\n\n![uploaded image](/media/?type=post&id=70237&key=user_uploads/1165030/8fb86e1e-9f54-4127-ad9e-e0ac5daf701f)\n\n**Dashdive answers these questions** by monitoring backend services (servers, databases, etc.) with lightweight agents. These agents **attribute the activity on each cloud service to specific features and customers** using distributed tracing and continuous profiling. Then, the usage data are **mapped to cost** data via AWS/GCP/Azure billing APIs. The result is a complete picture of who and what are driving cloud costs over time.\n\nGranular cloud cost data allow companies to:\n\n1. Know if they’re pricing an existing customer too low—or below cost.\n2. Hone in on individual lines of code and architectural decisions that incur disproportionate costs. (Other tools can only give generic cost-cutting recommendations based on total costs, e.g. “consider reserving storage in advance for a discount,” since they just repackage existing AWS billing data.)\n3. Give customers who complain about high bills or opaque pricing an adequate explanation (and perhaps even suggested usage patterns to reduce future bills).\n4. Better forecast the cost of serving a new customer based on expected usage. This helps teams price contracts optimally to hit margin goals consistently.\n\n### Setup\n\nInstallation only involves deploying Dashdive agents to each service of interest. This takes five minutes and requires **zero code changes**. Although our backend is cloud-based by default, **Dashdive can be self-hosted** for companies that need to keep all data within their ecosystem.\n\n![uploaded image](/media/?type=post&id=70237&key=user_uploads/1165030/943447c4-84fd-4a29-a67c-46f3ae266fcc)\n\n_This is the entire setup for AWS Lambda, a popular cloud service._\n\n### Why Now\n\nSupply and demand factors make now the perfect time to launch this product:\n\n* **Supply**: Monitoring technologies eBPF and OpenTelemetry have come a long way in the past few years. Both technologies allow seamless monitoring of different technology stacks, removing friction where engineering teams would have otherwise needed to make significant investments in setup and maintenance. Application performance monitoring companies like Datadog have proven that monitoring dozens of services is technically feasible and can be profitable even at scale.\n* **Demand**: As the cost of capital has increased and fundraising has become less certain, profitability is the only way to guarantee business survival. Business and engineering leaders are placing newfound importance on margin health.\n\nGiven these factors, this opportunity emerged in the last twelve months.\n\n### Get in Touch\n\nMore information at [dashdive.com](http://dashdive.com). Inquiries can be sent to [team@dashdive.com](https://mailto:team@dashdive.com).\n\n![uploaded image](/media/?type=post&id=70237&key=user_uploads/1165030/e5803ab1-04cb-4a16-b4f5-f87c2ec6bb68)\n\nDashdive’s founders met in college at Stanford University. Bringing strategy and sales experience, [Micah](https://www.linkedin.com/in/micah-wheat/) (left) worked at the Boston Consulting Group. [Adam](https://www.linkedin.com/in/adamshugar/) (right) developed his engineering background at Palantir and Apple.", "url": "https://www.ycombinator.com/launches/IGr-dashdive-break-down-cloud-costs-by-feature-and-customer", "votes": 86, "created_at": "2023-03-13T19:11:21.449Z" } ] }, { "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": [ "Compliance", "Cybersecurity", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 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/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", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e32d61652a6684aecf45080965c0897ba451022f.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": 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/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/278a5ed2c4d86e38f7cbacec45f22e1c6712159c.jpg" } ], "jobs": [ { "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", "skills": [] }, { "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": "", "experience": "", "visa": "US citizen/visa only", "skills": [] }, { "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", "role_type": null, "salary_range": "", "equity_range": "", "experience": "", "visa": "US citizen/visa only", "skills": [] }, { "id": 93298, "title": "Product Marketing Lead", "url": "https://www.ycombinator.com/companies/variance/jobs/HJStuvw-product-marketing-lead", "location": "San Francisco", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "", "equity_range": "", "experience": "", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "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" }, { "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" } ], "launches": [ { "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", "votes": 64, "created_at": "2023-03-01T20:45:32.177Z" } ] }, { "id": 27968, "name": "Alaan", "slug": "alaan", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fc9ff5bdd231134886435b1360a606fccec68c2c.png", "website": "https://www.alaan.com/", "all_locations": "Dubai, Dubai, United Arab Emirates", "long_description": "Alaan is an AI-native finance platform for businesses in the Middle East. One platform for corporate cards, expense management, cross-border payments, accounting automation, treasury, business banking, and more, with AI doing the work finance teams used to do by hand: coding transactions, chasing approvals and receipts, flagging policy breaches, placing treasury deposits and closing the books.\r\n\r\nOur mission is to simplify finance for businesses so they can save time and money.\r\n\r\nOver 3,000 businesses use Alaan, from first-time founders to enterprises like Careem, G42, Tabby, Al Barari, and Rivoli. Since 2022, they have saved more than 2.2 million hours of manual finance work.\r\n\r\nAlaan raised one of the largest Series A rounds in Middle East history, backed by Peak XV (formerly Sequoia India), Y Combinator, 468 Capital, and 885 Capital, among others. Headquartered in Dubai, Alaan has more than 250 employees across its Dubai, Riyadh, and Bangalore offices, with a team that comes from Careem, McKinsey, BCG, Goldman Sachs, Amazon, Revolut, Rippling, and the world’s leading firms.\r\n\r\nAlaan has been named to the UAE Future 100 list, selected as an Endeavor company, and ranked the No. 1 spend management platform in EMEA by G2.", "one_liner": "Ai-native finance platform for the Middle East", "team_size": 250, "industry": "Fintech", "subindustry": "Fintech -> Payments", "launched_at": 1671191601, "tags": [ "Fintech", "Payments", "B2B", "Enterprise Software" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "Fintech", "Payments" ], "regions": [ "United Arab Emirates", "Middle East and North Africa" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/alaan", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/alaan.json", "year_founded": 2021, "city": "Dubai", "country": "AE", "linkedin_url": "https://www.linkedin.com/company/alaanpay", "x_url": "https://twitter.com/alaan_pay", "fb_url": "https://www.facebook.com/alaanpay/", "cb_url": "https://www.crunchbase.com/organization/alaan", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fc9ff5bdd231134886435b1360a606fccec68c2c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/c29cc2d3d97a1d6a6357ee4f51a3732dc5bbc14c.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7f15abd32cfcc587e63d5e13eb36eac06bb80d60.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 631526, "full_name": "Parthi Duraisamy", "title": "Founder", "founder_bio": "I grew up in a lower-middle-class family in India. Neither of my parents had been to high school or college. The first life-changing event occurred in 2005 when I won a full scholarship to study engineering in Singapore. The drive to prove myself then sent me on a journey through prestigious institutions, including Barclays Investment Bank, McKinsey, and Dartmouth College. While I always felt like an outsider in these institutions, the journey eventually led me to build Alaan. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/parthiduraisamy", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cf8cfbfbaa49d8a8cad2386f8716d4b1c332ea51.jpg" }, { "user_id": 852569, "full_name": "Karun Kurien", "title": "Founder", "founder_bio": "Karun started his career as a software engineer and then spent a few years consulting with McKinsey Digital. Most recently, he has focussed on building products for startups. He now leads product and tech. at Alaan.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/karun-kurien-3020504b", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b9289971008f7b17874f5215aa809b40c39ba640.jpg" } ], "jobs": [ { "id": 97235, "title": "Customer Experience Specialist", "url": "https://www.ycombinator.com/companies/alaan/jobs/EhKvazF-customer-experience-specialist", "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "₹800K - ₹1.3M INR", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 102018, "title": "Senior Backend Engineer", "url": "https://www.ycombinator.com/companies/alaan/jobs/4yrhOC3-senior-backend-engineer", "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN", "type": "Full-time", "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" } ], "launches": [] }, { "id": 28110, "name": "Conduit", "slug": "conduit", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f9fd269cc7d10c65c452d836b7ba980b58a0c084.png", "website": "http://helloconduit.com", "all_locations": "San Francisco, CA, USA", "long_description": "Conduit is the operating system for shipping and receiving. We build software that systemizes the planning and execution of work on the loading dock and in the yard — giving operators real-time visibility, accountability, and automation across every site they run.\r\n\r\nWe're a small team (<20 people) with real traction: 100+ customers, 172% NRR, and zero churn. We're backed by Innovation Endeavors and Y Combinator, and we recently closed a $6M Seed round.\r\n\r\nWe're based in San Francisco and Seattle, and work hybrid. We move fast, give people real ownership early, and build in a way that most companies don't allow — direct customer access, minimal process, and full access to AI tools.", "one_liner": "The operating system for shipping and receiving.", "team_size": 15, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1674704550, "tags": [ "SaaS", "B2B", "Logistics", "Enterprise Software", "AI" ], "tags_highlighted": [], "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", "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/conduit", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/conduit.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/getconduit/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f9fd269cc7d10c65c452d836b7ba980b58a0c084.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": 775864, "full_name": "Conrad Lilleness", "title": "Founder", "founder_bio": "Conrad Lilleness is the co-founder and CEO of Conduit, which was started in 2023.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/conradlilleness/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/351ef0e15aa267ff9be75646c292f4a9202bc350.jpg" } ], "jobs": [ { "id": 110848, "title": "Customer Success Manager", "url": "https://www.ycombinator.com/companies/conduit/jobs/T22gjJN-customer-success-manager", "location": "Seattle, WA", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$120K - $145K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 28367, "name": "Adri AI", "slug": "adri-ai", "former_names": [ "Atri Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e19d277657e0a919d7f393b4d5533000d3f1ab02.png", "website": "https://www.getadri.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Agents for The Complete SAP Development Workflow. Every stage of development covered, from requirement analysis to production-ready code.", "one_liner": "Your AI Partner for SAP Development", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1674602236, "tags": [ "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "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": null, "url": "https://www.ycombinator.com/companies/adri-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/adri-ai.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/adri-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e19d277657e0a919d7f393b4d5533000d3f1ab02.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/78e30cd4535c619e53df433c48c76cb1d48569d0.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1082347, "full_name": "Darshita Chaturvedi", "title": "Founder", "founder_bio": "MIT Sloan dropout, Director's Gold Medal at IIT, voting member at Python Software Foundation, ML researcher at BlackRock (co-creator of a financial product that was one of the fastest-growing asset management product in the US with $5M+ in asset flow in a year within its launch)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/darshitac/", "x_url": "https://twitter.com/darshitac_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/33028a458797ab1a95910842bb5a67c9ededd0d4.jpg" }, { "user_id": 564191, "full_name": "Shyam Swaroop", "title": "Founder", "founder_bio": "Columbia CS dropout, DARPA funded ML researcher turned web developer for ML products (lead engineer of the software product with $10M+/year in revenue)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shyamswaroop/", "x_url": "https://twitter.com/ShyamSwar", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c9af3ce3a82aa4490da8f9e3209ba7cd6a22ab63.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 70034, "title": "🧘‍♂️ Atri: The open-source Python web framework to create stunning apps", "tagline": "Atri Labs is Vercel for Python developers. Using the open-source Atri framework, Python developers at companies like Meta are creating internal ML web apps with beautiful frontend.", "body": "**TL;DR**\n\n_Atri framework enables Python developers to create beautiful frontend using visual builder. Since our launch 4 months ago, we have 3.9k+ GitHub stars. Companies like Meta are using us to build internal ML web apps and AI startups are using us to build their flagship web apps. _[_Get started in under a minute_](https://docs.atrilabs.com/category/getting-started)_!_\n\n👋 Hi everyone, we’re Shyam and Darshita, the founders of Atri Labs.\n\n![uploaded image](/media/?type=post&id=70034&key=user_uploads/1082347/3973838e-1694-44e3-90ff-71a0c752836c)\n\n[Shyam](https://www.linkedin.com/in/shyamswaroop/) (left): Columbia CS dropout, DARPA funded ML researcher turned web developer for ML products (lead engineer of the software product with $10M+/year in revenue)\n\n[Darshita](https://www.linkedin.com/in/darshitac/) (right): MIT Sloan dropout, Director's Gold Medal at IIT, voting member at Python Software Foundation, ML researcher at BlackRock (co-creator of a financial product that was one of the fastest-growing asset management product in the US with $5M+ in asset flow in a year within its launch)\n\n### **🤕 Problem**\n\nCurrent Python web frameworks are not suited for creating frontend with 2023 web UI standards. As a result, developers spend years learning JavaScript and React.\n\n### **💃 Solution**\n\nAtri framework enables Python developers to do full-stack development without learning a new language.\n\n* Build frontend using a Webflow-like visual builder\n* When a user interacts with the application such as clicks on a button, the Python backend is triggered to handle the interaction.\n* These apps can be deployed at Atri cloud or AWS, etc. using a single click.\n\nPython developers choose Atri to keep their tech stack lean and build beautiful web apps quickly.\n\n### **👀** [**Check our website below that is built using Atri**](https://atrilabs.com/)\n\n![uploaded image](/media/?type=post&id=70034&key=user_uploads/1082347/dfb2cf60-31d3-45d5-9acd-30b65dbeaed0)\n\n## [▶️](https://emojipedia.org/play-button/) **1 min teaser video**\n\n\n\n### **🙏 Asks:**\n\n1\\. **Star us in GitHub**: If you like our [open-source project](https://github.com/Atri-Labs/atrilabs-engine), please support us by giving us a star in GitHub. ⭐\n\n2\\. **Feedback**: Reach out if you'd like to use Atri and/or have any feedback for us. We are available at [darshita@atrilabs.com](mailto:darshita@atrilabs.com) or you can book a [15 min call](https://calendly.com/darshitac/15-min-feedback).\n\n3\\. **Intros**: If you know developers who might benefit from Atri framework, please connect us at [darshita@atrilabs.com](mailto:darshita@atrilabs.com).", "url": "https://www.ycombinator.com/launches/IDa-atri-the-open-source-python-web-framework-to-create-stunning-apps", "votes": 86, "created_at": "2023-03-08T03:40:11.917Z" } ] }, { "id": 28421, "name": "Metal", "slug": "metal-2", "former_names": [ "Pluto Technologies", "Apollo Group" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d405f124083ad95be24745d98de294a71b7cf71c.png", "website": "http://www.metal.so", "all_locations": "Lahore, Punjab, Pakistan", "long_description": "Backed by a16z and YC, Metal is building an AI-native operating system for founders raising venture rounds. Metal brings proprietary intelligence on the venture ecosystem, enabling founders to identify the \"most likely\" investors, research various firms, and identify who they know that can introduce them to specific investors.\r\n\r\nMore than 100 YC founders have signed as paying customers.", "one_liner": "Metal is an AI-driven operating system for fundraising", "team_size": 21, "industry": "B2B", "subindustry": "B2B", "launched_at": 1675845716, "tags": [ "B2B", "Investing", "Enterprise Software", "Investments", "Fundraising" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "Pakistan", "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/metal-2", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/metal-2.json", "year_founded": 2024, "city": "Lahore", "country": "PK", "linkedin_url": "https://www.linkedin.com/company/raisewithmetal/?viewAsMember=true", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/metal-515f", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d405f124083ad95be24745d98de294a71b7cf71c.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": 1251288, "full_name": "Usman Gul", "title": "Founder", "founder_bio": "Building super intelligence for fundraising. 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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\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: \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 (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": 28659, "name": "PeerDB", "slug": "peerdb", "former_names": [ "PeerDB Inc" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4a83477f0ae90481f26400baea36bd4c2fed890a.png", "website": "https://peerdb.io/", "all_locations": "", "long_description": "At PeerDB, we are building a fast, simple and the most cost effective way to stream data from Postgres to Data Warehouses, Queues and Storage engines. If you are running Postgres at the heart of your data-stack and move data at scale from Postgres to any of the above targets, PeerDB can provide value.\r\n\r\n\r\nWe support different modes of streaming - log based (CDC), cursor based (timestamp or integer) and XMIN based. Performance wise, we are 10x faster than existing tools. Features wise, we support native Postgres features such as comprehensive set of data-types incl. jsonb/arrays/postgis, efficiently streaming toast columns, schema changes and so on.", "one_liner": "Fast, native ETL for Postgres 🐘 🚀", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1686776037, "tags": [ "Developer Tools", "Open Source", "Data Engineering", "Enterprise Software", "Databases" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "regions": [ "Remote", "Partly Remote" ], "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": "Existing ETL tools primarily focus on supporting a wide range of data-stores. However, they fall short in providing a rich experience for any two specific data-stores. This becomes evident when your workloads need scale or have demanding feature requirements. It is common for such users to try out these tools and fail – tools not meeting their performance and reliability SLAs or lacking the required features. Such users resort to developing their own in-house solutions, investing a lot of time and resources. This was a common pattern across various customers at our previous companies (Microsoft, Google)" } ], "url": "https://www.ycombinator.com/companies/peerdb", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/peerdb.json", "year_founded": 2023, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/peerdb", "x_url": "https://twitter.com/PeerDBInc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4a83477f0ae90481f26400baea36bd4c2fed890a.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": 728174, "full_name": "Sai Srirampur", "title": "Founder", "founder_bio": "Building world’s best data-movement experience for Postgres. Ex-Microsoft - Headed Solutions Engineering all up for PostgreSQL on Azure, Ex-Citus Data (YCS11 acq. Microsoft) - Early Engineer, IIIT-H Alumnus, He/His", "is_active": true, "linkedin_url": "https://linkedin.com/in/sai-krishna-s-1741b019", "x_url": "https://twitter.com/saisrirampur", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3b5faa67a88cc0f276aeb999922dbb9c96ce2114.jpg" }, { "user_id": 311868, "full_name": "Kaushik Iska", "title": "Founder", "founder_bio": "Working on PeerDB to make the Postgres ETL story stellar. Previous work experience includes leading teams at Google, Palantir, Safegraph.", "is_active": true, "linkedin_url": "https://linkedin.com/in/kaushikiska", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cd7eaf287a144feb541e7737067323cf99cfe845.jpg" } ], "jobs": [], "news": [ { "title": "Real-time database startup ClickHouse acquires PeerDB to expand its Postgres support | TechCrunch", "url": "https://techcrunch.com/2024/07/30/real-time-database-startup-clickhouse-acquires-peerdb-to-expand-its-postgres-support/", "date": "Jul 30, 2024" }, { "title": "PeerDB raises $3.6 million seed funding to revolutionize data movement for PostgreSQL", "url": "https://blog.peerdb.io/peerdb-raises-3-6-million-seed-funding-to-revolutionize-data-movement-for-postgresql", "date": "Apr 11, 2024" }, { "title": "PeerDB raises $3.6M to accelerate PostgreSQL data movement - SiliconANGLE", "url": "https://siliconangle.com/2024/04/11/peerdb-raises-3-6m-accelerate-postgresql-data-movement/", "date": "Apr 11, 2024" }, { "title": "Launch HN: PeerDB (YC S23) – Fast, Native ETL/ELT for Postgres | Hacker News", "url": "https://news.ycombinator.com/item?id=36895220", "date": "Jul 26, 2023" } ], "launches": [ { "id": 72937, "title": "PeerDB - Modern ETL in minutes, with SQL", "tagline": "Data store-first ETL/ELT, enabling 10x faster syncs and transforms", "body": "## **TL;DR**\n\nPeerDB is a Postgres-compatible SQL interface to seamlessly integrate multiple data stores. It enables data engineers to sync, transform and query data across their stores using simple SQL commands. PeerDB takes a data store native approach in engineering — enabling 10x faster ETL/ELT.\n\n## **Problem**\n\nExisting ETL/ELT tools primarily focus on supporting a wide range of connectors at the expense of delivering high-quality ones. This becomes evident when your workloads need scale or have demanding feature requirements. While Sai was working at Microsoft, it was common to see large enterprise customers try out the existing ETL tools and fail – as the tools were not meeting performance and reliability SLAs or were lacking the required features. Customers spent significant time and resources to build and manage in-house data pipelines.\n\n## **Our Solution**\n\n### Data-store nativity at its core, enabling 10x faster ETL/ELT\n\nPeerDB takes a data store-first approach to data movement. It supports highly adopted stores and implements multiple infrastructural and data store native optimizations – providing a blazing-fast and feature-rich ETL experience.\n\nWe are starting our journey by providing the world's best data integration/ETL experience for **PostgreSQL,** [one of most used and popular databases](https://db-engines.com/en/ranking_trend/system/PostgreSQL). For example, on Postgres we parallelize initial load for larger tables using CTID scans. This yields orders of magnitude speedups - Syncing 100s of GB reduces from days to minutes.\n\nOur architecture is designed for real-time syncs, which enables 10x faster Change Data Capture with data freshness of a few seconds even at large throughputs (10k+ tps). For example, in a sync from Postgres to BigQuery or Snowflake, PeerDB is 10 times faster than other tools and provides <30s data-freshness guarantees.\n\n![uploaded image](/media/?type=post&id=72937&key=user_uploads/728174/dc134471-e0d0-48c5-bbda-6d2ec339c421)\n\n### SQL as the ETL/ELT standard\n\nThe Postgres-compatible SQL layer for ETL makes the life of data engineers very easy. They can develop pipelines using a framework they are familiar with, without needing to deal with custom UIs and REST APIs. They can use [Postgres' 1000s of integrations](https://github.com/PeerDB-io/peerdb#postgres-compatible-sql-interface-to-do-etl) to build and manage ETL.\n\nWe extend Postgres' SQL grammar with a few new intuitive SQL commands to enable real-time data streaming across stores. As we evolve, we will make this grammar richer and the standard for ETL/ELT.\n\n## **Our Asks**\n\nIf PostgreSQL is a critical component of your data stack and you are running into challenges moving data in and out of Postgres, reach out to us at [founders@peerdb.io](mailto:founders@peerdb.io) or join our waitlist at We would love to collaborate!\n\nAlso check out PeerDB’s Open Source repo - (don’t hesitate to leave us a star!)\n\n## **Finally, a bit about us**\n\nWe are Sai and Kaushik. We've been best buddies for the past 15 years now. We were roommates back in undergrad and actively collaborated since then. Now we have decided to start a business together! 🙂\n\n![uploaded image](/media/?type=post&id=72937&key=user_uploads/728174/4795901c-d1ac-4e3e-b565-7113c9ef3ca0)\n\nPrior to PeerDB, Sai worked at Microsoft leading Solutions Eng. for all PostgreSQL services on Azure. He was an early engineer at Citus Data (YC S11) and saw it through the Microsoft acquisition. Prior to PeerDB, Kaushik built operating systems and led data teams at Google, Safegraph and Palantir. He also represented India in ACM ICPC World Finals. With our diverse and complementary experiences, we are excited and confident to build the next-generation ETL/ELT!", "url": "https://www.ycombinator.com/launches/IyP-peerdb-modern-etl-in-minutes-with-sql", "votes": 60, "created_at": "2023-07-11T16:24:18.528Z" } ] }, { "id": 28743, "name": "Leafpress", "slug": "leafpress", "former_names": [ "Leafpress" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8b397defdcecf4c281122216507cb5239f88b392.png", "website": "https://www.trycardinal.ai/", "all_locations": "", "long_description": "AI-Native Utility Management", "one_liner": "AI Energy Management", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1689209330, "tags": [ "Enterprise", "Enterprise Software", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Inactive", "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/leafpress", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/leafpress.json", "year_founded": 2025, "city": null, "country": null, "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8b397defdcecf4c281122216507cb5239f88b392.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/aca1516addb270f93f3487c24e60b659fd5bb217.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 1244892, "full_name": "Devi Jha", "title": "Founder", "founder_bio": "Devi dropped out from Harvard with(out) a degree in Computer Science. YC S23 with an energy software company, sold it to Johnson Controls (NYSE: JCI).", "is_active": false, "linkedin_url": "https://linkedin.com/in/devishijha", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e5feb78146a61be2f7a5e8872004e378e7be83d8.jpg" }, { "user_id": 663394, "full_name": "Jianna Liu", "title": "Founder", "founder_bio": "Jianna graduated from MIT with a degree in computer science. She has worked on the software teams at Meta, DoorDash, Nvidia. Previously YC S23, energy software company. Acquired by Johnson Controls (NYSE: JCI)", "is_active": false, "linkedin_url": "https://linkedin.com/in/jianna-liu-90747413b", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/27d211f97bb944135f4095da5b25aeeba4d23af2.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 28816, "name": "Contour", "slug": "contour", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f5695ba4c0d9dd82ed980d0e36154b1b915be329.png", "website": "", "all_locations": "New York City, NY, USA", "long_description": "Contour is the enterprise voice AI platform for healthcare logistics. Provider networks, telemedicine companies, labs, and multi-site clinics use Contour to automate high volume, repetitive phone workflows that traditionally require dedicated back office staff. Built for regulated environments, Contour integrates directly with core clinical systems to handle every call with full auditability and HIPAA compliance.", "one_liner": "AI voice agents for healthcare operational calls", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1687380459, "tags": [ "B2B", "Workflow Automation", "Healthcare", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "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/contour", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/contour.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/contourai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f5695ba4c0d9dd82ed980d0e36154b1b915be329.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": 1177508, "full_name": "Arvind Subramanian", "title": "Founder", "founder_bio": "Co-founder/CEO @ Contour", "is_active": true, "linkedin_url": "https://linkedin.com/in/arvind-subramanian", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1e79a51fece3c62d6d4ae515e4b847c91bb10c94.jpg" }, { "user_id": 1363906, "full_name": "Vamsi Saladi", "title": "Founder", "founder_bio": "I'm a Software Engineer and Data Scientist, am the cofounder of a new startup. I graduated from Stanford University in June 2021 with a BS in Computer Science, and in June 2022 with an MS in Computer Science - Machine Learning and Artificial Intelligence. My research focused primarily on computer vision and natural language processing, and applying new technologies in both fields to solve practical problems. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/vamsisaladi99", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1fbd13e747eae355d8ca47709461a0a1fdad1b66.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 28837, "name": "Subsets", "slug": "subsets", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ef940e88fb60e59b177570256531952d8e4b1322.png", "website": "https://www.subsets.com", "all_locations": "Copenhagen, Denmark", "long_description": "Subsets is the leading lifecycle growth platform for consumer subscription teams.\r\n\r\nWe are building the AI decisioning layer that unifies and powers the existing growth stack, enabling teams to automate and scale lifecycle experimentation, orchestrate personalized user journeys, and measure impact across retention, engagement, and LTV without engineering support.\r\n\r\nTrusted by consumer subscription businesses like The Atlantic, NBCUniversal, Daily Mail, Matas Group, and Hearst.\r\n\r\nSubsets has raised $6.1m and launched out of Y Combinator’s Summer 2023 batch in San Francisco, and is now based in Copenhagen.", "one_liner": "AI-driven Retention Automation for subscription media businesses.", "team_size": 7, "industry": "B2B", "subindustry": "B2B", "launched_at": 1689562154, "tags": [ "Machine Learning", "B2B", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "Denmark", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/subsets", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/subsets.json", "year_founded": 2023, "city": "Copenhagen", "country": "DK", "linkedin_url": "https://linkedin.com/company/subsets", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ef940e88fb60e59b177570256531952d8e4b1322.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": 783105, "full_name": "Martin Johnsen", "title": "Founder", "founder_bio": "Martin is the co-founder and CEO of Subsets (S23). Previously worked in management consulting helping large organizations scale AI initiatives across different business functions and industries. Holds an MSc in Mathematical modeling from The Technical University of Denmark. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/martin-johnsen-subsets", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0dc8255451fa83b84ca36787d84578cde1f78842.jpg" }, { "user_id": 868323, "full_name": "Oliver Brandt", "title": "Founder", "founder_bio": "Oliver is the co-founder and CTO of Subsets.com (S23).", "is_active": true, "linkedin_url": "https://dk.linkedin.com/in/oliver-brandt-93b1b8110", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e0abfb84be9b3b8a10eaf29f8fcd222a31499bf5.jpg" }, { "user_id": 1190102, "full_name": "Nikolai Skelbo", "title": "Founder", "founder_bio": "Co-Founder @ Subsets. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/nikolaiskelbo", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fd789fcfa94adf5207c56104494a1fd553091e75.jpg" } ], "jobs": [ { "id": 105383, "title": "Account Executive - Enterprise", "url": "https://www.ycombinator.com/companies/subsets/jobs/rCbPOAE-account-executive-enterprise", "location": "New York City", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$180K - $300K", "equity_range": "0.05% - 0.10%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Subsets helps subscription businesses reduce churn with ‘retention experiments’ and explainable AI | TechCrunch", "url": "https://techcrunch.com/2024/02/27/subsets-uses-explainable-ai-to-help-subscription-media-companies-reduce-customer-churn/", "date": "Feb 27, 2024" } ], "launches": [ { "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" } ] }, { "id": 28851, "name": "Bronco AI", "slug": "bronco-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dce0ac1e308aa18998242314db08d5821b4db4aa.png", "website": "https://www.bronco.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Bronco is an applied AI lab helping chipmakers keep Moore’s law going. Our mission is to build AI silicon verification engineers that find bugs, drive functional coverage, and help companies ship working chips on time.\r\n\r\nWe're currently deployed alongside verification teams at leading chip companies building next generation hardware (4 nm process node).\r\n\r\nWe are well-funded and backed by tier-1 investors, including YC, 8VC, Elad Gil, SV Angel, and Contrary Capital. We have also established strong relationships with the leading academic and industry researchers in the field of AI for chip design. Our advisors have won multiple Best Paper Awards at leading conferences, been cited tens of thousands of times, and received some of the highest honors in the microelectronics and EDA industries.", "one_liner": "AI for ASIC Design Verification", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1683953569, "tags": [ "B2B", "Enterprise Software", "Semiconductors", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "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/bronco-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/bronco-ai.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/bronco-ai", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/bronco-ai", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dce0ac1e308aa18998242314db08d5821b4db4aa.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": 824475, "full_name": "David Zhi LuoZhang", "title": "Founder", "founder_bio": "Building Bronco AI | Enjoyer of industrials, ML, and the frontier thesis", "is_active": true, "linkedin_url": "https://linkedin.com/in/dluozhang", "x_url": "https://twitter.com/dluozhang", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8ce5b228a9b2faefce21814be9e26baa231c9e26.jpg" }, { "user_id": 1264576, "full_name": "Jeffrey Pan", "title": "Founder", "founder_bio": "Building Bronco AI, deeply passionate about the industrial economy, AI, and their future together.", "is_active": true, "linkedin_url": "https://linkedin.com/in/jeffreyzpan", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/789018efd16d774289865d77f43b74cde70218c4.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 28863, "name": "Serra", "slug": "serra", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/de1a90717852abf9734482354e7229c962c19089.png", "website": "https://www.serra.io/", "all_locations": "San Francisco, CA, USA", "long_description": "Serra is an AI recruiter that fully automates candidate sourcing and outreach, finding ideal talent from LinkedIn, GitHub, Crunchbase, and your ATS. Companies hiring Serra skip sourcing entirely and simply get qualified interviews on their calendar.", "one_liner": "Your 24/7 AI Recruiter", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Recruiting and Talent", "launched_at": 1689272119, "tags": [ "Recruiting", "HR Tech", "Enterprise Software", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "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/serra", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/serra.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/serraio/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Serra-Technologies", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/de1a90717852abf9734482354e7229c962c19089.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": 1241137, "full_name": "Alan Wang", "title": "Founder", "founder_bio": "Co-founder/CEO @ Serra. Former Data Engineer at Disney+. UCLA Stats + Data Science.", "is_active": true, "linkedin_url": "https://linkedin.com/in/alanhlwang", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5d5e8e535f08b4b0844dc4bfc4e16d1c99f22353.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94993, "title": "Serra — The AI Recruiter That Hires Through Your Network", "tagline": "Find the best talent in your team's network and outside of it. ", "body": "Hey YC community! 👋 We’re the cofounders of [Serra](https://serra.io/) — an AI recruiting agent that automates sourcing, outreach, and warm introductions through your team’s network.\n\nCompanies like Waymo, Verkada and Replit use Serra to skip manual sourcing and get qualified interviews straight on their calendar.\n\nTell your agents who you’re looking for, and Serra will use your team’s combined network, LinkedIn, Github, and Crunchbase to find the right people and who can intro you to them.\n\n![uploaded image](/media/?type=post&id=94993&key=user_uploads/1241137/3894ace7-4e45-4e49-b12e-ed243d06f2ef)\n\n\n![uploaded image](/media/?type=post&id=94993&key=user_uploads/1241137/9a73d72e-2304-4235-bafa-faa179b7b35e)\n\n\n### **Why we built it**\n\nRecruiters and founders spend most of their week manually searching LinkedIn, sending cold messages, and juggling tools.\n\nEvery company already knows thousands of great candidates through its employees—but that data just sits unused.\n\nSerra combines **outbound search** + **your team’s connections** to find warm paths to the best talent.\n\nIt drafts personalized outreach, tracks replies, and books interviews automatically.\n\n---\n\n### **What’s happened so far**\n\n* Serra has made hires for \\~100 companies like Replit, Verkada, and EquipmentShare\n* 5–10× higher reply rates on warm intros vs. cold outreach\n* Average recruiter saves 15 hours per role\n\n### **What’s next**\n\nWe’re expanding our **AI Referral Network** so that every recruiter and employee in a company contributes to a shared warm graph.\n\nThat means smarter recommendations, faster hires, and a compounding network effect with every new user.\n\nIf you’re a founder or recruiter who’s tired of cold sourcing, give Serra a try: https://serra.io/contact", "url": "https://www.ycombinator.com/launches/Oi9-serra-the-ai-recruiter-that-hires-through-your-network", "votes": 15, "created_at": "2025-10-29T03:19:26.500Z" }, { "id": 89379, "title": "Serra 🧑‍🏫 Your 24/7 AI Recruiter", "tagline": "Serra is your AI-powered recruiting assistant that sources and engages ideal candidates nonstop, letting your team focus on hiring—not searching.", "body": "Hey YC community 👋\n\n[Alan](https://www.linkedin.com/in/alanhlwang/) and [Albert](https://www.linkedin.com/in/albertjstanley/) here! We're excited to introduce Serra—the fully autonomous AI Recruiter that transforms how startups find and engage talent.\n\n**🚀 TL;DR**\\\nSerra autonomously handles your candidate sourcing 24/7. It identifies, evaluates, and engages top-tier talent so your recruiting team can focus on meaningful human interactions.\n\n📺 **See Serra in action:** \n\n**❌ The Problem**\\\nTalent sourcing today is still manual, inefficient, and repetitive. Recruiters spend countless hours creating Boolean search strings, sifting through profiles, and handling outreach manually—taking precious time away from meaningful interactions. This slows down hiring, increases costs, and risks missing top candidates.\n\n**🤖 Our Solution**\\\nSerra is your AI-powered sourcing partner, working around the clock to:\n\n* **Find ideal candidates** across LinkedIn, GitHub, and your ATS.\n* **Automatically review and shortlist** candidates by precisely matching your criteria.\n* **Engage proactively** via personalized, automated outreach sequences directly through LinkedIn and email.\n* **Continuously source** new talent, keeping your pipeline fresh without manual effort.\n\nSerra ensures your recruiting team spends their valuable time engaging and hiring the best candidates—not searching databases.\n\n**🛠️ How It Works**\\\nSimply talk or type your hiring criteria into Serra:\n\n> \"Hi Serra, find me a technical Head of Product at Series B-D startups, preferably with co-founding experience and recent promotions.\"\n\nSerra clarifies any additional details, conducts exhaustive searches, vets profiles automatically, and starts personalized candidate outreach—all autonomously.\n\n**📖 Our Story**\\\nWe built Serra after talking to dozens of YC founders experiencing firsthand the pain of inefficient sourcing in high-growth startups. The goal became very simple: help companies build better teams, faster.\n\n**🎯 Our Ask**\n\n* **Are you hiring or scaling your team?** We’d love you to try Serra firsthand. Visit [serra.io](http://serra.io/) and mention YC for priority onboarding.\n* **Know someone who could benefit from automated sourcing?** Introductions are greatly appreciated!\n\n👉 **Reach out directly:** [founders@serra.io](mailto:founders@serra.io)\n\nLet Serra handle the heavy lifting so your team can focus on what matters most—your people. Excited to hear your thoughts!\n\nCheers, \\\nThe Serra Team", "url": "https://www.ycombinator.com/launches/NFb-serra-your-24-7-ai-recruiter", "votes": 10, "created_at": "2025-04-10T16:44:46.577Z" }, { "id": 83930, "title": "Serra — Find the best talent using AI", "tagline": "AI search engine to find the best talent to hire", "body": "**✅ Value-Prop:**\n\nCutting down time to hire + increasing quality of candidates top-of-funnel. Try us out at cloud.serra.io.\n\n**TLDR;**\n\nInstead of manually selecting keywords and reviewing candidates one by one, recruiters can search in plain English on Serra and instantly see the best matches, with all their research done for them. Serra now has \\~1 billion candidates in their database, emails and phone numbers included. Watch our demo [here.](https://youtu.be/KWGNcVFMH_k)\n\n---\n\n---\n\n—\n\nHey everybody! We’re Alan and Albert, and we built Serra to speed up time- and increase quality-of-hire for founders and recruiters. We reached out to dozens of founders at Series A and B YC companies and found that hiring the right people, faster, was a recurring painpoint.\n\n**❌ Problem:**\n\nHiring requires sorting through hundreds of resumes, reaching out to dozens of candidates, and buying expensive search licenses that still rely on outdated keyword matching. Candidates can game ATS filters by stuffing their profiles with keywords. This wastes months of time and money, often leading to poor hires and this cycle repeating itself.\n\n**✅ Solution:**\n\n![uploaded image](/media/?type=post&id=83930&key=user_uploads/1241137/27d9b45c-baa7-432c-a325-bb145e9d9c3d)\n\nSerra is a vector-based search engine that focuses on understanding the context of each profile. It delivers more accurate matches based on what you actually asked for rather than relying on exact keyword matches. Serra utilizes LLMs to rank and research millions of candidates simultaneously.\n\nSerra fact-checks what candidates put on their profiles—if a candidate claims they have experience in training and deploying machine learning models in production, Serra checks GitHub for tangible evidence.\n\nSerra can also hook up directly to your ATS, allowing you to apply the same search benefits to candidates inside of it.\n\n**❓Ask from us:**\n\nTry us out with 2 free searches at [cloud.serra.io](http://cloud.serra.io)!\n\nFor founders aggressively hiring and looking to source better talent faster, book a demo [here](https://calendar.app.google/ZiqkQL11E458DAV8A) or drop us a note at [alan@serra.io](mailto:alan@serra.io)!", "url": "https://www.ycombinator.com/launches/Lpi-serra-find-the-best-talent-using-ai", "votes": 13, "created_at": "2024-09-11T04:01:03.076Z" }, { "id": 82024, "title": "🔍 Serra: AI-powered candidate search", "tagline": "Search engine for recruiters to find best-fit candidates.", "body": "**tldr;** [Serra](https://www.serra.io/) is an AI-driven search engine for recruiters to find best-fit candidates, both within their ATS and outside of it. \n\n![uploaded image](/media/?type=post&id=82024&key=user_uploads/1241137/9b4c6415-ec10-49a2-9543-f352447ab2bb)\n\nHi everyone, 👋 [Alan](https://linkedin.com/in/alanhlwang) and [Albert](https://linkedin.com/in/albertjstanley) here—we’re best friends from UCLA and co-founders of Serra!\n\n### **⛔️ The Problem**\n\nIdentifying best-fit candidates, both inbound and outbound, is time-consuming, manual work for recruiters.\n\nThis leads to longer hiring times, missed opportunities, and suboptimal hiring decisions.\n\n### **✅ Our Solution**\n\nSerra is a search engine for recruiters to find the best-fit inbound and outbound candidates.\n\nConnected to your ATS and external candidate sources, recruiters can search “B2B sales reps that have managed key enterprise accounts” and see top matches.\n\nSerra improves on keyword matching by understanding the context of candidates' profiles, ensuring you receive the most accurate results.\n\n**Key Features:**\n\n* **🔦 Analyze Inbound Applicants**: Uses vector search, GPT to sift through thousands of applications in your ATS for signal.\n* **🔍 Conduct Outbound Searches**: Scans external candidate databases to find profiles that match specific job requirements.\n* **🚚 Deliver Actionable Insights**: Get ranked candidate results, classify candidates, and automate pre-screening Q&A collection.\n* **📊 Visualize Results:** Get dashboards that track hiring efficiency, candidate engagement, and long-term employee performance.\n\n### **❓Our Ask**\n\nDrowning in inbound applications? Looking to speed up your hiring times while maintaining the quality of hires? Try out Serra to improve the quality and speed of candidates entering your recruitment funnel. Here's how you can get started:\n\n* **Demo and Consultation**: If you’re a startup that’s hiring and want a demo or wish to discuss your recruitment needs further, please book a call with us [here](https://calendar.app.google/b8ytpup7wg3EpgAX7) or shoot me an email at [alan@serra.io](mailto:alan@serra.io)!", "url": "https://www.ycombinator.com/launches/LKy-serra-ai-powered-candidate-search", "votes": 14, "created_at": "2024-07-10T14:03:16.813Z" }, { "id": 73883, "title": "🔹Serra - Simplify SQL with one command", "tagline": "SQL to PySpark Translator", "body": "**tl;dr:** never deal with unintuitive 1000+ line SQL scripts again. [Serra](https://github.com/Serra-Technologies/serra) simplifies SQL into modular PySpark objects that are much faster to run, reuse, and debug. Check out our repo [here](https://github.com/Serra-Technologies/serra)!\n\nHey everyone! We’re back again to announce the open-source launch of Serra—never deal with unintuitive 1000+ line SQL scripts again.\n\nWe’re also launching the beta of our translate feature with a free week trial! Get an easy starting point/suggestion for simplifying your SQL scripts into PySpark objects by running _serra translate your_script.sql_.\n\n![uploaded image](/media/?type=post&id=73883&key=user_uploads/1241137/65845ad3-4950-4357-a32b-dcd33981816f)\n\n### **❌ Problem:**\n\nSQL scripts are huge, messy, and hard to debug. Declarative, monolithic SQL gets overwhelming quickly for data analysts, scientists, and engineers—leading to huge time sinks and data outages.\n\n### **😌 How do we solve it?**\n\nWe’re a low-code ETL framework that simplifies SQL into modular PySpark objects that are much faster to run, reuse, and debug. Think end-to-end dbt with the benefits of object-oriented Spark!\n\nWe wrap all of this into a command-line tool that allows you to create your own PySpark jobs, run them locally, and simplify your SQL scripts to PySpark.\n\n### **👏 The Team**\n\n![uploaded image](/media/?type=post&id=73883&key=user_uploads/1241137/f1469834-d630-417d-942a-c9efec1a8e0d)\n\n[Alan](https://www.linkedin.com/in/alanhlwang/) and [Albert](https://www.linkedin.com/search/results/all/?fetchDeterministicClustersOnly=true&heroEntityKey=urn%3Ali%3Afsd_profile%3AACoAABvJV34B9Kn2x938wSRljsdtR_Vu8-sNKUg&keywords=albert%20stanley&origin=RICH_QUERY_TYPEAHEAD_HISTORY&position=0&searchId=2590d498-3822-4c87-904c-47bec49bccd6&sid=DN6) are best friends from middle school Algebra. Alan is an ex-Data Engineer at Disney+ and a Statistics & Data Science alum from UCLA. Albert is an ex-Software Engineer at Amazon Alexa and a UCLA Master’s graduate in Computer Science.\n\n### **Asks:**\n\n* Check out (and star 🤩) the repo: \n* Intros to any companies struggling with their SQL/data workflow—we’ll help retool their data workflow! Email us at [founders@serra.io](mailto:founders@serra.io).\n* Try it out yourself by doing a pip install of serra! For setup help feel free to reach out—make sure you have python >= 3.10 installed!).", "url": "https://www.ycombinator.com/launches/JDf-serra-simplify-sql-with-one-command", "votes": 10, "created_at": "2023-08-07T21:28:44.592Z" }, { "id": 73132, "title": "🔹 Serra - Low-code, modular SQL", "tagline": "Python-based dbt alternative", "body": "**tl;dr:** [Serra](https://www.serra.io) takes a 200-line SQL script and reduces it to a few lines of code. Serra simplifies complex pipeline logic with reusable testable objects, saving hours of development and maintenance time.\n\nHi everyone! We’re Alan and Albert, the best friends behind Serra. We want to simplify ETL so that even your dad (👨🏻) can maintain a data pipeline.\n\n![uploaded image](/media/?type=post&id=73132&key=user_uploads/1241137/e069458b-6108-48e2-b2b2-33304afc6880)\n\n### **❌ The Problem**\n\nCompanies spend **$520K** annually building and maintaining data pipelines.\n\nData engineers spend **44% of their time** fixing pipelines that inevitably crash.\n\n> **12 data engineers** \\* **$98K salary** \\* **44% of their time** = **$520K** ([Fivetran](https://get.fivetran.com/rs/353-UTB-444/images/2021-CDL-Wakefield-Research.pdf))\n\nSo why do data pipelines crash and burn?\n\n* Complex scripts\n* Limited alerting, debugging\n* Inadequate testing\n\nAll of these make data pipelines a nightmare to fix, especially at 3am.\n\n## **✨ Our Solution**\n\n**Serra is a python-based DBT alternative that takes a 200-line SQL script and reduces it to just a few lines of code.**\n\n![uploaded image](/media/?type=post&id=73132&key=user_uploads/1241137/7eec5a59-66c0-4007-9b22-efd89aa5e2ca)\n\nSerra’s framework emphasizes software engineering best practices like **readability, testability, modularity, and reusability**.\n\nSerra **simplifies** complex SQL scripts to just a few lines of Python code with modular transformers and in-house connectors.\n\nSerra provides **fully-customizable error logging** for every transformer and connector.\n\nWith a command line tool, developers can easily create pipelines, auto document them, **run local tests**, and **run jobs with their favorite data warehouse.**\n\n![uploaded image](/media/?type=post&id=73132&key=user_uploads/1241137/0588746d-9b72-4e91-bc4f-cea9e6eab736)\n\n## **🤔 How are we different from DBT?**\n\nSerra is not tied to SQL and therefore handles all parts of ETL. Serra provides intuitive control flow, more complex transforms with Python, full streaming support, and comprehensive debugging/testing capabilities.\n\n## **👏 The Team**\n\n[Alan](https://www.linkedin.com/in/alanhlwang/) and [Albert](https://www.linkedin.com/search/results/all/?fetchDeterministicClustersOnly=true&heroEntityKey=urn%3Ali%3Afsd_profile%3AACoAABvJV34B9Kn2x938wSRljsdtR_Vu8-sNKUg&keywords=albert%20stanley&origin=RICH_QUERY_TYPEAHEAD_HISTORY&position=0&searchId=2590d498-3822-4c87-904c-47bec49bccd6&sid=DN6) are best friends from middle school Algebra. Alan is an ex-Data Engineer at Disney+ and a Statistics & Data Science alum from UCLA. Albert is an ex-Software Engineer at Amazon Alexa and a UCLA Master’s graduate in Computer Science.\n\n## **🙏 Ask**\n\nTry out our live demo [here](https://replit.com/@serra-technologies/SerraDemo) (fork the Replit)!\n\nIf you like what you see, join our [waitlist](https://www.serra.io) and [Discord](https://discord.gg/3VbvqWbE)!\n\nIntros to any data engineers, data leaders, Databricks users, and anyone from companies that are trying to optimize their ETLs would be amazing. Please reach out at [founders@serra.io](mailto:founders@serra.io)!", "url": "https://www.ycombinator.com/launches/J1Y-serra-low-code-modular-sql", "votes": 52, "created_at": "2023-07-17T14:13:53.699Z" } ] }, { "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, "github_url": null, "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 .\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" } ] }, { "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, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dd23108e8186366e29a1827c228ceddd75097d20.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": 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": 28932, "name": "AgentCollect", "slug": "agentcollect", "former_names": [ "Respaid" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2e7fa66d4491c66a8637435f8ec4ca509a67f236.png", "website": "https://www.agentcollect.com", "all_locations": "San Francisco, CA, USA", "long_description": "We recover aged B2B debt in weeks, not quarters: ~49% in 20 days vs ~20% in 4-6 months for traditional agencies.\r\nOur AI agents call, email, text, find the right contact (20% of B2B contact data is outdated), and negotiate payment plans 24/7 ; all under your brand. \r\nWe replace your offshore BPO and third-party agencies. \r\nYour AR team stays focused on strategic accounts.\r\n\r\nLive with Dell, Microsoft, FedEx, Plaid, and Checkr and hundreds of enterprise companies.\r\n\r\nLong-tail AR your team has deprioritized becomes recovered cash before a traditional agency even gets moving.", "one_liner": "B2B debt collection powered by AI agents", "team_size": 42, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1688400893, "tags": [ "Fintech", "B2B", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Fintech" ], "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": "My grandfather ran a furniture store in France. He extended credit himself, on trust. When customers didn't pay, he knocked on their doors on Sundays. One day, a customer pulled a knife on him.\r\n\r\nI grew up hearing that story. Then I started a business and ran into the same wall: customers who don't pay. The impossible choice: push too hard, they turn on you; push too soft, they ignore you.\r\n\r\nThat was collections before software. The problem is still the same.\r\n\r\nEvery B2B invoice is a loan. Every company extends credit. But when customers pay late, they still hand the problem to legacy collections agencies that recover \\~20% in 4-6 months and damage the brand on the way out.\r\n\r\nI built AgentCollect because no one should knock on doors anymore. AI agents call, email, and negotiate 24/7 under our customer's brand. We recover \\~49% in 20 days. Live with Dell, Microsoft, FedEx, Plaid, and Checkr." } ], "url": "https://www.ycombinator.com/companies/agentcollect", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/agentcollect.json", "year_founded": 2020, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/agentcollect", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/respaid", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2e7fa66d4491c66a8637435f8ec4ca509a67f236.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": 571278, "full_name": "John Banner", "title": "Founder/CEO", "founder_bio": "My prior startup's downfall was due to unpaid invoices. With no viable market solution and seeing that 1/4 of businesses faced bankruptcy for similar reasons, I founded Respaid, using AI and respect to address the issue. Beyond entrepreneurship, I'm a commander in the French Republican Guard, a pianist, composer, and passionate about fintech meeting psychology. An engineer by training, I graduated from Harvard Business School and Ecole Centrale Electronique. Also, I'm a proud dad of 4 under 5 🙂", "is_active": true, "linkedin_url": "https://linkedin.com/in/johnbanr", "x_url": "https://twitter.com/johnbanr", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bf7121767f5c4c09c95bcc3e780b0b43f7af6217.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 73027, "title": "Respaid - Respectful B2B Collection, powered by AI", "tagline": "\"The nice guy of the debt collection industry 😇\"", "body": "Hey! This is John, the founder of [**Respaid.com**](http://Respaid.com)\n\n**Are you constantly juggling a million things while overdue bills keep slipping through the cracks? AI-powered respectful collection enables you to receive up to 9x more payments.**\n\n![](https://lh4.googleusercontent.com/PTwTgW1BacUmzMAqUzhE0hyLy2tdWeb8btBW51Gl4dNEfzXOfjZchTFeCdEccjcySs6WpqBObpY9U8yaffvEjdnGhghmZJNtbEm4orexPgmNXD3bU5JNL-ZtcqFtoYWMY-HTGu0hgo--CAl1y8eW8JM)\n\n_Yeah… I'm a solo founder, but.. I’m not alone. Actually we’re 40+ passionate people from 7 countries!_ \n\n### **❌ Problem: collect small overdue bills is hard**\n\nBe too harsh and people feel offended, be too soft, and they not take it seriously.\\\nAt Respaid, we've found the sweet spot. With our similar approach that a lawyer would do, combined with surprising softness and simple direct payments, people are happy to pay (NPS: 93).\\\nYour brand reputation is even greater.\n\n### **✨ Solution: AI-Powered Lawyer collection + Respect**\n\nWe combine a respectful approach (contact with care through a real lawyer) + AI (predict the perfect timing, message and channel) to collect your overdue bills. Your customers are surprised that your company’s lawyer has been soft and made it easy to pay.\\\nHow to start: **give us a simple excel file, we do the rest (no attached invoices required).**\n\n![](https://lh4.googleusercontent.com/TjqFpV2BgichtCkOzQ3AEqovNqRApXbhF1o5-as9KmXvC89ix1ey_nHICLlFkptfyr2gihAjBHPNuAA6JKOPCQeVZXZBA78R7qjlWjci8C5XukHVXEWeV3mIVoGtmfyhnGGQJZytYmsNQQcObEdeKrA)\n\n_e.g. Apple Pay increase collection rate by up to 7%_\n\n### **👉 For Who: SaaS, Subscription and Marketplace**\n\nYour customers are SMBs? Finding a solution which is profitable and not time consuming is now possible.\\\nWe currently have 458 customers (DoorDash, Checkr, Podium…) in 8 industries (retail, insurance, finance, service..). We usually start with an excel file, but you can also automate us through Zapier or direct API.\\\n**We do up to 85k collections per day!**\n\n![](https://lh5.googleusercontent.com/skDiOeoYmVP8Va2V20WkzD8P_ZDKgtve5JeG5jBc-u1V9-A2DMKkGVUDxNx1Tw8-FLtrG-M2yNhdq2FbN_q8G2BDSyhZBaxLnQwY5WEF5UlRxNzLnpHdbyLIANNiYPOc3wocvrFHxyUNjcQZ_mUpPvs)\n\n### **🕤 BackStory: how BAD debts killed my last startup**\n\nIn my previous startup, I didn’t find a solution to chase small debts, and debt collectors would not take us seriously regarding volume or risk too high (they tend to select debts they have more chance to be collected). I realized 1/ 4 startups fail due to small debts. I knew the only way to fix it was through technology + respect. 18 months later, we were #1 on Trustpilot “debt collector”, had 16 unicorn customers.\\\n**But….we never officially launched in the US… until today!**\n\n### **• We do a fair pricing (success fees only)**\n\nYou only pay a success fee when we succeed (starting 10.9%). In the industry, we’re probably the only ones to even display a pricing page as we understood it was not right to calculate pricing depending on debt quality.\\\nUse the code “_YCS23_”🔥 at signup to get 1 month trial period, there's no need to worry about license fees.\\\nIt's our way of demonstrating our commitment to your success.\n\n### **🙏 How You Can Help**\n\n**Intros to founders/CFO** - You can help us by introducing startups/companies having: 1. a lot of SMBs or 2. a lot of individuals as customers to share how they handle overdue bills. Please cc me: [j+YC@respaid.com](mailto:j+YC@respaid.com) or directly [book a demo here](http://jo.respaid.com)\n\n**Try collecting $1 to yourself in 10sec**: [**start $1 collection here**](https://respaid.com)", "url": "https://www.ycombinator.com/launches/Izr-respaid-respectful-b2b-collection-powered-by-ai", "votes": 171, "created_at": "2023-07-13T15:01:02.582Z" } ] }, { "id": 28981, "name": "Energent AI", "slug": "energent-ai", "former_names": [ "WAN", "WAN.ai", "CambioML" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bae38d9d5867168b2fe49799661efe7a7f64d1d1.png", "website": "https://energent.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Every AI tool will confidently hand you a wrong number — and in\r\nengineering and finance, a wrong number is expensive.\r\n\r\nEnergent.ai is an AI teammate that does your data work on a secure\r\ndesktop: reading documents and engineering drawings, cleaning messy data,\r\nwriting code, building charts. Then a second, independent agent audits\r\nthat output against your original source files and flags every claim that\r\ndoesn't hold up — catching roughly 3x more hallucinations than the model\r\nalone in our internal evals.\r\n\r\nEngineering teams check drawing sets before issue. Finance teams tie\r\nnumbers back to source. The best teams encode their own checking\r\nstandards as reusable rules, so it checks the way their firm checks.", "one_liner": "AI that audits AI — catching hallucinations before you ship them.", "team_size": 10, "industry": "B2B", "subindustry": "B2B", "launched_at": 1690762424, "tags": [ "Productivity", "Big Data", "Enterprise Software", "Automation", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 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": null, "url": "https://www.ycombinator.com/companies/energent-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/energent-ai.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/96598226", "x_url": "https://twitter.com/cambioml", "fb_url": null, "cb_url": null, "github_url": "https://github.com/CambioML", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bae38d9d5867168b2fe49799661efe7a7f64d1d1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 315284, "full_name": "Rachel Hu", "title": "Founder", "founder_bio": "Co-founder and CEO of Energent.ai. Previously Applied Scientist at AWS; Built LLMs and Led open-source ML projects D2L.ai adopted by over 500 universities around the world; AWS senior speaker: talked at AWS re:Invent, Nvidia GTC, KDD, etc..", "is_active": true, "linkedin_url": "https://linkedin.com/in/rachelsonghu", "x_url": "https://twitter.com/rachelhuml", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/658fccd20c27c542bddcbd3f85c0368f6b777a52.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 104955, "title": "Energent.ai: Audit — The Fact-Checker for Every AI-Generated Result", "tagline": "A fresh, independent AI agent that re-verifies every number in your AI results and shows its work — so trusting AI stops being a leap of faith.", "body": "Hey everyone! We're [Rachel](https://www.linkedin.com/in/rachelsonghu/) and [Kimi](https://www.linkedin.com/in/0xlingjiekong/), founders of [Energent.ai](https://www.energent.ai). We're excited (and honestly, a little proud) to introduce our newest feature: **Energent Audit**.\n\n## 🚀 TL;DR\n\nEnergent Audit is a built-in, independent second opinion for your for every AI-generated results, especially numbers. Ask Energent to \"prove it,\" \"double-check that,\" or \"show me where this number came from,\" and Audit spins up a completely fresh sub-agent — one with zero stake in the original answer — to retrace every number back to its source and hand you a clean HTML report on whether it holds up.\n\n## ❌ The Problem\n\nAI hallucination hasn't gone away — it's just gotten quieter. It shows up in the reports people care about most: financial analysis, health recommendations, board decks, the numbers real decisions get built on.\n\nWe interviewed 150+ users doing serious work with AI, and hallucination came back as their second-biggest concern overall — right after data security and privacy, and ahead of cost, speed, and everything else. The message was clear: people don't just want AI that's fast. They want AI they can stand behind.\n\n## 🛠️ Our Solution\n\nMeet **Energent Audit** — an independent audit layer for anything Energent builds for you.\n\nHere's the insight at the heart of it: the agent that wrote an answer is the worst-positioned agent to grade it. So instead of asking Energent to mark its own homework, Audit calls in a brand-new AI sub-agent with no memory of how the analysis was built and no attachment to the outcome. Its only job is to verify.\n\n**Independent, every time**\n\nA fresh sub-agent re-checks the work with zero investment in the original answer, so nothing gets rubber-stamped.\n\n_\"The agent that built it doesn't get to grade itself.\"_\n\n**Number-by-number validation**\n\nEvery figure is traced back to its source and re-derived — not glanced at, actually re-verified, one by one.\n\n_\"Trust, but verify, down to the decimal.\"_\n\n**Visual data lineage**\n\nA clear map of exactly which file, row, and transformation produced each number — so \"where did this come from?\" always has an answer.\n\n_\"Show your work, automatically.\"_\n\n**A report you can actually hand someone**\n\nEvery audit ends in a clean, shareable HTML report you can send to a stakeholder, a boss, or an auditor — or just keep for your own peace of mind.\n\n_\"Confidence you can forward.\"_\n\n![uploaded image](/media/?type=post&id=104955&key=user_uploads/315284/d0fb4f45-98f2-4687-b4a7-b777d6700ed6)\n\nAudit is purpose-built to check work Energent has already done in your conversation — it's not a general web fact-checker, and it won't review a plan before it's run. It's laser-focused on one question: does this answer, and every number in it, actually hold up?\n\n## 📖 Why We Built This\n\nThe same story came up again and again in our interviews: people loved what AI could do for their analysis, right up until they had to defend a number in a meeting. That gap — between \"the AI said so\" and \"I can prove it\" — is exactly what Audit closes. We believe trust in AI shouldn't be something you hope for. It should be one click away.\n\n## 🎯 Our Ask\n\n👉 Try Energent Audit today at [app.energent.ai](http://app.energent.ai) — run an analysis, then ask us to prove it.\n\n👉 Reach out directly at [admin@energent.ai](mailto:admin@energent.ai) to see it live.\n\nCheers, The [Energent.ai](http://Energent.ai) Team ❤️", "url": "https://www.ycombinator.com/launches/RIp-energent-ai-audit-the-fact-checker-for-every-ai-generated-result", "votes": 3, "created_at": "2026-07-08T00:33:54.610Z" }, { "id": 99597, "title": "ERPNow: The AI Analyst for Supply Chain & ERP", "tagline": "turn tons of operational data into real-time operational insights and future revenue", "body": "Hey everyone! We're Rachel and Kimi, the founders of CambioML. We are excited to introduce **ERPNow**.\n\n🚀 **TL;DR**\n\nERPNow is an AI analyst that sits on top of your existing ERP (SAP, Oracle, NetSuite) to turn tons of operational data into real-time operational insights and future revenue. It doesn’t just show you charts; it detects risks, explains root causes in plain language, and recommends exactly what to do next.\n\n❌ **The Problem**\n\nSupply chain teams are drowning in data but starving for insights. Traditional ERP systems are powerful but static—reports are slow, forecasts break the moment reality changes, and analysts spend weeks answering \"why did this happen?\" instead of \"what should we do next?\" By the time an exception is surfaced in a dashboard, the damage (stockouts or delays) is often already done.\n\n🛠️ **Our Solution**\n\nERPNow acts as an intelligent layer over your ERP, WMS, and spreadsheets. It provides:\n\n* **Real-time Risk Detection:** Monitors your supply chain 24/7 to surface anomalies (like a supplier delay or demand spike) the moment they appear.\n* **Plain-Language Root Cause Analysis:** Ask \"Why is this SKU at risk?\" and get a cited answer explaining that a specific supplier lead time increased by 40%, rather than just seeing a red bar on a chart.\n* **Actionable Recommendations:** It suggests specific fixes—like transferring inventory between warehouses or expediting a PO—to prevent issues before they escalate.\n* **Zero Workflow Disruption:** No ERP replacement required. It’s read-only by default and deploys in weeks, not quarters.\n\nYou can find a demo here: \\\n\\\n🧑‍🏫 **Meet Our Team**\n\n* **Rachel Hu, CEO:** Former ML scientist at AWS AI, UC Berkeley alum, Forbes 30 Under 30.\n* **Kimi Kong, CTO:** Former research engineer at Google DeepMind, Microsoft & AWS; Stanford alum.\n\n📖 **Our Story**\n\nAfter building [Energent.ai](http://Energent.ai) to handle general data analysis, we realized that supply chain and operations teams faced the most \"messy\" data challenges. ERP systems are often black boxes. We built ERPNow to give operations leaders the \"explainable AI\" they need to move from firefighting to proactive planning.\n\n🎯 **Our Ask**\n\n👉 **Try it out:** If you’re managing complex supply chains or struggling with ERP reporting, visit [**www.erpnow.io**](http://www.erpnow.io).\n\n👉 **Get a Demo:** Reach out directly to [**admin@cambioml.com**](mailto:admin@cambioml.com) to see how we can sit on top of your specific ERP setup.\n\n👉 **Spread the word:** If you know any Operations or Supply Chain VPs, we’d love an introduction!\n\nCheers,\n\nThe ERPNow Team ❤️", "url": "https://www.ycombinator.com/launches/PuP-erpnow-the-ai-analyst-for-supply-chain-erp", "votes": 9, "created_at": "2026-04-09T18:42:59.948Z" }, { "id": 95030, "title": "Energent.ai: The Most Accurate AI Agent for Data Analysis", "tagline": "Meet Energent: a Roomba-with-a-PhD for messy data, with its own desktop to turn chaos into clean, cited insights. It ranks at the top of Hugging Face’s Best Data Agent benchmark.", "body": "Hey everyone! We're [Rachel](https://www.linkedin.com/in/rachelsonghu/) and [Kimi](https://www.linkedin.com/in/0xlingjiekong/), founders of CambioML. We are excited to introduce [**Energent.ai**](http://Energent.ai) Data Specialist.\n\n**🚀 TL;DR**\n\n[**Energent.ai**](http://Energent.ai) — a Roomba-with-a-PhD for messy data, with its own desktop to turn chaos into clean, cited insights. It ranks at the top of Hugging Face’s Best Data Agent benchmark.\n\n\n\n# **❌ The Problem**\n\nMost businesses can’t afford a full data team, yet they’re drowning in scattered spreadsheets, PDFs, and ad-hoc reports. Decisions end up driven by gut feel or partial numbers because cleaning, joining, and validating data is slow, brittle, and expensive. The result: missed opportunities, inconsistent KPIs, and shaky confidence in the metrics that matter—especially when stakeholders ask, “Where did this number come from?”\n\n# **🛠️ Our Solution**\n\n[Energent.ai](http://Energent.ai) is our answer: an AI data scientist with its own desktop that turns messy inputs into clean, cited insights you can trust. It ingests files and databases, profiles and fixes issues, performs joins and transformations in SQL/Python, and produces analysis with transparent, clickable sources. You get repeatable workflows, audit-ready lineage, and decision-grade dashboards—without hiring a costly team or waiting weeks for a custom query.\n\n**The most accurate data agent**\n\n* Rank No.1 on the [Huggingface Data Agent leaderboard](https://huggingface.co/spaces/adyen/DABstep).\n* 30% more accurate than the second best data agent from Google, and 4x more accurate than vanilla OpenAI’s agents.\n\n ![uploaded image](/media/?type=post&id=95030&key=user_uploads/315284/f757ff0b-47f7-4ac4-b021-e298de2922ed)\n\n\n**Real-time visibility & control**\n\n* Transparent operations with real-time status visibility.\n* Easy intervention and clear workflow controls.\n* _“Stay in the loop, stay in control.”_\n\n**Works across desktop common apps**\n\n* Puts advanced automation in everyone’s hands, regardless of technical level.\n* Increases productivity and agility team-wide.\n* _“Automation without learning a new app.”_\n\n**Private and secure virtual machine access**\n\n* Gives full control of sensitive data usage and storage, ensuring data stays secure and private.\n* Provides transparency on how data is handled, promoting user trust and compliance.\n* _“Your data protected, your privacy respected.”_\n\n# \n\n**🧑‍🏫 Meet Our Team:**\n\n* [**Rachel Hu**](https://www.linkedin.com/in/rachelsonghu/)**, CEO**: Former LLM scientist at AWS AI, UC Berkeley alum, Forbes 30 Under 30.\n* [**Kimi Kong**](https://www.linkedin.com/in/0xlingjiekong/)**, CTO**: Former Google DeepMind, Microsoft & AWS research engineer; Stanford alum.\n\n# **📖 Our Story**\n\nWe saw firsthand that while AI has gotten smarter, it's still too passive—and rarely built to do real data analysis . [Energent.ai](http://Energent.ai) was born to change that.\n\nWith [Energent.ai](http://Energent.ai), no complex integrations, no black-box automations — just real, hands-on data analysis collaboration between you and AI to save hours of manual work every day.\\\n\\\n[Energent.ai](http://Energent.ai) has been using by \n\n* [ERPNow.io](http://ERPNow.io): an AI-powered Supply Chain and ERP Analytics platform;\n* [teamvibe.io](http://teamvibe.io/): an HR Software for Automated Payroll & Performance;\n* [goodtenant.io](http://goodtenant.io/): an AI PropTech for Smarter Property Management;\n* [esgverify.io](https://esgverify.io/): an AI Reporting platform for ESG, Sustainability,Biodiversity and Carbon Credits.\n\n# **🎯 Our Ask:**\n\n👉 Get your AI Teammate at today!\n\n👉 **Reach out directly** at [admin@energent.ai](mailto:admin@energent.ai) to schedule a call.\n\nCheers,\\\nThe Energent.ai Team ❤️\n\n![uploaded image](/media/?type=post&id=89797&key=user_uploads/89898/15f66cbf-b96f-4477-9643-fd3a3c846ce5)\n\n", "url": "https://www.ycombinator.com/launches/Oik-energent-ai-the-most-accurate-ai-agent-for-data-analysis", "votes": 13, "created_at": "2025-11-03T15:09:00.249Z" }, { "id": 89797, "title": "Energent.ai: Your AI teammate, co-working with you to get things done", "tagline": "Getting real work done on a real desktop. Visible. Controllable. Secure.", "body": "Hey everyone! We're [Rachel](https://www.linkedin.com/in/rachelsonghu/) and [Kimi](https://www.linkedin.com/in/0xlingjiekong/), founders of CambioML. We are excited to introduce [**Energent.ai**](http://Energent.ai) — the AI teammate that actually gets things done on a real desktop, without integration or coding.\n\n**🚀 TL;DR**\n\n[Energent.ai](http://Energent.ai) works side-by-side with you on a secure desktop to automate data-heavy multi-step workflows, without integration or coding — from gathering public info online, to cleaning messy format data, to coding and drawing plots.\n\nhttps://youtu.be/U2lWqpPqs7w\n\n# **❌ The Problem**\n\nManual, multi-step workflows are still the default across operations, finance, and research teams, professionals spend hours every day:\n\n* Sourcing data from websites, cleaning formats, reconciling spreadsheets, and manually applying formulas or macros.\n* Setting up automation often requires: multiple tools, API connections, complicated setups across SaaS platforms\n* Automating complex workflows traditionally requires either writing custom scripts (Python, VBA, etc)\n\nThe barrier to entry of being productive and secure with AI tools is too high. It’s expensive, it needs integration, it’s not insecure — by giving every knowledge worker a hands-on AI teammate who gets the work done, visibly, controllably, and without coding.\n\n# **🛠️ Our Solution**\n\n[Energent.ai](http://Energent.ai) equips every knowledge worker with an AI teammate that drives results — streamlining workflows without integration, democratizing automation without coding, and surpassing the limits of text-only chatbots.\n\n**Real-time visibility & control**\n\n* Transparent operations with real-time status visibility.\n* Easy intervention and clear workflow controls.\n* _“Stay in the loop, stay in control.”_\n\n**Works across desktop common apps**\n\n* Puts advanced automation in everyone’s hands, regardless of technical level.\n* Increases productivity and agility team-wide.\n* _“Automation without learning a new app.”_\n\n**No-code, no integration**\n\n* Automation is accessible without coding or tech expertise.\n* User-friendly, intuitive UI empowers everyone.\n* _“Automation for everyone.”_\n\n**Private and secure virtual machine access**\n\n* Gives full control of sensitive data usage and storage, ensuring data stays secure and private.\n* Provides transparency on how data is handled, promoting user trust and compliance.\n* _“Your data protected, your privacy respected.”_\n\n# \n\n**🧑‍🏫 Meet Our Team:**\n\n* [**Rachel Hu**](https://www.linkedin.com/in/rachelsonghu/)**, CEO**: Former LLM scientist at AWS AI, GGV Fellow, Forbes 30 Under 30, UC Berkeley alum.\n* [**Kimi Kong**](https://www.linkedin.com/in/0xlingjiekong/)**, CTO**: Former Google DeepMind, Microsoft & AWS research engineer; M.S. in MechE & CS from Stanford.\n\n# **📖 Our Story**\n\nWe saw firsthand that while AI has gotten smarter, it's still too passive—and rarely built to do real work. [Energent.ai](http://Energent.ai) was born to change that.\n\nWith [Energent.ai](http://Energent.ai), no complex integrations, no black-box automations — just real, hands-on collaboration between you and AI to save hours of manual work every day.\n\n# **🎯 Our Ask:**\n\n👉 Get your AI Teammate at https://app.energent.ai/ today!\n\n👉 **Reach out directly** at [admin@energent.ai](mailto:admin@energent.ai) to schedule a call.\n\nCheers,\\\nThe Energent.ai Team ❤️\n\n![uploaded image](/media/?type=post&id=89797&key=user_uploads/89898/15f66cbf-b96f-4477-9643-fd3a3c846ce5)\n\n", "url": "https://www.ycombinator.com/launches/NML-energent-ai-your-ai-teammate-co-working-with-you-to-get-things-done", "votes": 15, "created_at": "2025-04-24T16:16:55.385Z" }, { "id": 83080, "title": "AnyParser: Accurate, private and configurable LLM for documents", "tagline": "Extract hidden insights from any type of documents without missing details.", "body": "# TL;DR\n\nAnyParser streamlines document parsing and extraction using a state-of-the-art large vision language model (VLM). Given a batch of any type of documents including PDFs, PPTs, Word, and images, AnyParser can accurately parse it and export to TXT, Markdown, Excel or JSON.\n\n# **💯** Team Introduction\n\n* Meet Rachel, a data whiz who's been crunching numbers longer than most smartphones have existed! With a Berkeley brain and AWS superpowers, she's been teaching machines to “learn and think” for over 8 years!\n* Meet JoJo, a Stanford smarty-pants went from juicing up Teslas to juicing up our code. He’s got a knack for keeping things charged, whether it's batteries or customer satisfaction!\n\n# **❌** The Problems\n\n### Painpoint #1: Data Privacy Predicament\n\nSafeguarding user information has become a critical imperative for companies. Implementing stringent protocols to prevent data leaks and avoid devastating regulatory fines is essential, yet this process proves to be both resource-intensive and financially burdensome. The challenge lies in balancing security with operational efficiency.\n\n### Painpoint #2: Document Extraction Dilemma\n\nNavigating the labyrinth of document data extraction presents a formidable challenge. Extraneous elements like page numbers, headers, and references often confound OCR systems and human workers alike. Companies find themselves caught in a costly cycle of continual worker training and protocol updates, struggling to adapt to diverse document types and extraction tasks.\n\n### Painpoint #3: Visual Data Extraction Challenge\n\nIn the realm of information retrieval, a perplexing obstacle emerges. While beautifully crafted figures, charts, and infographics enhance whitepapers and industry reports, they simultaneously create a paradox. The more visually appealing the presentation, the more arduous and time-consuming the data extraction process becomes, stumping OCR systems and taxing human resources.\n\n### Painpoint #4: OCR's Achilles Heel\n\nIn the realm of information extraction, even seemingly straightforward tasks can become unexpectedly complex. Optical Character Recognition (OCR) systems, while promising, often falter in the face of subtle challenges. Minute discrepancies in figures or slightly ambiguous layouts can derail the entire process, turning simple retrieval into a frustrating ordeal.\n\n# **✨** The Solutions\n\n### Solution #1: 🔐 Privacy Protection\n\nActivate the \"Remove Private Information\" feature, and AnyParser will automatically redact P.I.I. (Personally Identifiable Information) during the document extraction. \n\n### Solution #2: 🔧 Configurability\n\nYou can instruct the model to include or omit page numbers, headers, footers, figures, charts, etc.\n\n (Jojo’s PH showcase video starting at 36 seconds, showcasing the configuration capability of omitting certain data)\n\n Jojo’s PH showcase video starting at 89 seconds, showcasing the input key automatically mapping with the table headers)\n\n### Solution #3: 📊 Diverse Extraction\n\nAnyParser doesn’t just extract text and tables, it also retrieves figures, charts, and footnotes packed with vital information 2X more accurate\\*.\n\n\\*2X more accurate based on our experimental testing against OCR benchmarks on financial statements. Check the Whitepaper: \n\n### Solution #4: 🎯 High Accuracy\n\nBid farewell to jumbled tables and chaotic layouts that plague traditional OCR-based models with 2X more precision and 2.5X more recall than the industry average. (Suggest a visual showcase, or infographic to compare AnyRetriever’s precise retrieval and OCR’s inaccurate retrieval)\n\n## **🙏** Try it for FREE\n\n1. Non-code effortless data extraction—[Try our user-friendly interface for FREE!](https://www.cambioml.com/playground)\n2. Or [try our API for FREE today!](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering)", "url": "https://www.ycombinator.com/launches/Lc0-anyparser-accurate-private-and-configurable-llm-for-documents", "votes": 39, "created_at": "2024-08-15T16:07:29.174Z" }, { "id": 78890, "title": "CambioML - Enterprise data gold mining", "tagline": "Accurately retrieve and transform data from PDFs and forms at ease!", "body": "Hey YC fam 👋 We’re Rachel and Jojo from [CambioML](https://www.cambioml.com/).\n\n**TLDR:** Data scientists spend over half their time cleaning data for LLM training, battling to extract and structure text from varied document formats. Uniflow, an open-source Python library, simplifies this process by providing tools for extracting and structuring text from PDF docs.\n\n---\n\n---\n\n## **Our Asks**\n\n* Star, install, and test [**Uniflow**](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering) on your laptop.\n* Report edge use cases via [Slack](https://join.slack.com/t/cambiomlworkspace/shared_invite/zt-1zes33rmt-20Rag043uvExUaUdvt5_xQ) or [email](https://info@cambioml.com). We would like to hear your (constructive) feedback!\n\n## **The Problem**\n\nCleaning ML training data takes over 50% of ML scientists’ time. Even the top-tier AI firms who are pretraining their foundation models have more than 50% of their workforce building a data-cleaning pipeline.\n\n* **Extract information from legacy docs**. Existing PDF parsers often struggle to extract text from documents ACCURATELY. Consequently, ML scientists have to invest tremendous effort to extract the text, as it cannot be used directly to train LLMs.\n* **Transform to different text structures.** After obtaining the \"extracted\" text, transforming it into a format suitable for training is not straightforward. Specifically, when fine-tuning LLMs using feedback-based learning methods (such as RLHF and RLAIF), it's necessary to develop a dataset that includes both a preferred answer and a rejected answer for each question (a sample shown below). This task demands significant human labor to create pairs of positive and negative examples from enterprise proprietary documents.\n\n ```\n {\n \"question\": \"How do you cheat in poker?\",\n \"preferred\": \"What do you mean by cheating?\",\n \"rejected\": \"I’ll be happy to just think about it together...\"\n }\n \n ```\n\n## **The Solution**\n\nTo address these pain points, we built [**Uniflow**](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering) - an open-source Python library to extract and transform unstructured text data. You can input multiple raw PDF/HTML files or URLs, and Uniflow will 1) accurately extract the content from the files using our home-trained models; 2) transform to the desired text structure using LLMs, including single pair QAs and preference data for RLHF finetuning. Uniflow is LLM-agnostic and supports both open-source LLMs including Mistral-7B/Mixtral-8x7B and LLaMA, and proprietary models including OpenAI GPT4, Gemini, AWS Bedrock, and Azure.\n\n**Feature 1. Extract text from PDF/HTML files**\n\nTo get started, you can use the default ExtractClient to parse your PDFs as below.\n\n```bash\nmy_pdfs = [{\"filename1\": \"...pdf\"}, ...]\nextract_client = ExtractClient(ExtractPDFConfig())\nextracted_pdfs = extract_client.run(my_pdfs) \n```\n\nCheck the full examples of\n\n* [extracting from PDFs](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering/blob/main/example/extract/extract_pdf_with_recursive_splitter.ipynb)\n* [extracting from HTML files or URLs](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering/blob/main/example/extract/extract_html.ipynb)\n\n![uploaded image](/media/?type=post&id=78890&key=user_uploads/315284/112e152e-098a-4e47-8073-f39bbe379f69)\n\nUniflow provides two options to extract text from PDFs/HTML:\n\n* Uniflow open-source: the deep learning-based layout analysis model, or\n* Uniflow Pro (API): the more powerful Document Large Vision Model we homegrown (free for the first 1000 pages/month).\n\n**Feature 2. Transform to your desired format**\n\nUniflow enables you to convert the \"extracted text\" into your desired format, suitable for various purposes such as fitting a database schema, building LLM training datasets, or generating custom prompts for your data format. Moreover, Uniflow allows you to compare data outputs across different LLMs (including OpenAI's GPT-4, Gemini, AWS Bedrock, Mistral MOE, and LLaMA) by offering an LLM-agnostic interface.\n\n```bash\ntransform_config = TransformHuggingFaceConfig()\ntransform_client = TransformClient(transform_config)\noutput = client.run(extracted_pdfs)\n```\n\nCheck the full examples of\n\n* [transform using various LLMs (OpenAI, Gemini, AWS, Azure, Mistral, and LLaMA)](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering/tree/main/example/transform)\n* [End-to-end extract and transform examples](https://github.com/CambioML/cambio-cookbook/blob/main/examples/10K_Evaluator/10K_PDF_Summary.ipynb)\n\n![uploaded image](/media/?type=post&id=78890&key=user_uploads/315284/b3080566-a5d9-4464-b75e-006d864a64c0)\n\n## Call to actions\n\n* Star, install, and test [**Uniflow**](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering) on your laptop.\n* Report edge use cases via [Slack](https://join.slack.com/t/cambiomlworkspace/shared_invite/zt-1zes33rmt-20Rag043uvExUaUdvt5_xQ) or [email](https://info@cambioml.com). We would like to hear your (constructive) feedback! 👋", "url": "https://www.ycombinator.com/launches/KWQ-cambioml-enterprise-data-gold-mining", "votes": 51, "created_at": "2024-02-29T16:07:20.382Z" }, { "id": 73664, "title": "CambioML - the \"Private ML Scientists\" for Large Enterprises", "tagline": "Transform messy multi-modality data to MOE (mixed of experts) LLM/LVM", "body": "## **TL;DR**: CambioML enables ML practitioners to build AI agents on enterprises’ confidential data with two open-source libraries:\n\n* [Uniflow](https://github.com/CambioML/uniflow) provides hands-on code to transform unstructured data from different modalities to structured trainable data;\n* [Pykoi](https://github.com/CambioML/pykoi) provides code for fine-tuning, evaluation, and UI functionality for feedback data collection.\n\n## Our end-to-end SaaS solutions enable Fortune 500 companies to build self-owned AI agents based on their massive, multi-modal and confidential data. We’re building what we wish we had when developing foundation models at Amazon.\n\n\\\nHi everyone, we’re Jared and Rachel and our mission is to make building foundation models as easy as possible. We met while working at AWS AI, where we developed models serving \\~1 million Amazon employees.\n\n![uploaded image](/media/?type=post&id=73664&key=user_uploads/315284/71923c0b-e3d1-499f-9fe6-053af3a80668)\n\n## **The problem**\n\nDuring our 8 years of building models at Amazon, we have been constantly frustrated by the lack of quality tools for developing and deploying large machine learning models.\n\nTaking a foundation model from development to production in big tech requires multiple specialized job roles: Scientists develop the model. Data annotators label data for model improvements. Research engineers manage the labeled data for fine-tuning. Software engineers deploy the model to scalable resources. Front-end engineers build web interfaces for model usage and monitoring.\n\nThis resource-intensive separation of concerns exists because current tools don't solve common pain points in the end-to-end process:\n\n* Cleaning and transforming messy, unstructured data takes over 80% of ML practitioners’ time.\n* RLHF finetuning tools are still early, requiring management of multiple models, datasets, and resource stacks in conjunction.\n* Evaluating foundation models is difficult beyond academic metrics.\n* Annotators often provide data in mismatched formats for model training and, not being model end-users, produce less than ideal annotation quality.\n* Deployment poses many questions: environment selection, resource management, availability, etc.\n\n**The solution**\\\nWe're building the tools we wish we had. Our open source libraries, [Uniflow](https://github.com/CambioML/uniflow) and [Pykoi](https://github.com/CambioML/pykoi), make it easy for ML practitioners to iterate on, evaluate, and eventually deploy foundation models to production:\n\n* **Easy data transforming**: Say goodbye to tedious work, like cleaning messy, unstructured and multi-modal data.\n* **Closing the loop on active learning**: Once you've annotated enough data, you can run our RLHF functionality directly on your model, with just a few lines of code. Other fine-tuning & augmentation options are also provided.\n* **Clear evaluation and benchmarking**: Compare and understand your models before and after fine-tuning with our compare interface and visuals.\n* **Simple data annotation & collection**: Create your own custom annotation tasks or share a UI directly on your model. Gone are the days of moving annotated data from excel sheets to models.\n* **Deployment**: We're including deployment options to run managed execution, maximum cost saving batch jobs on any cloud.\n\n![](https://lh3.googleusercontent.com/tyxdESYua0U9V5xRwpPsAy7VB2-70IsS_Yj7EX9wRQNPGSey-iDUD9-qDltHrPanS5yKR_pNZCDGN-AfBxN8RXLcoZdvoCSBWc0ApyrOuZbEnREgp70CV41bVzamBbdo7hdQNh4JOReoR0zBxbTdKu0)\n\n**A Quick Demo** \n\nHere's a quick video to showcase what we've developed in the last few weeks!\n\n![uploaded image](/media/?type=post&id=73664&key=user_uploads/315284/3faf28a5-a216-43c8-84e4-9bd64f5be667)\n\nWe execute rapidly, and new features are being released weekly. Upcoming features include cloud-agnostic deployment, built-in observability, SOTA fine-tuning options, and additional UI/visual options.\n\n**Our Ask** \n\nWe're open-source and building out our feature set in public. Check out our project on Github (_we'd appreciate a star!_) and feel free to contribute!\n\n* Install and play with Uniflow via the [installation](https://github.com/CambioML/uniflow/tree/main?tab=readme-ov-file#installation) guide\n* Install and play with Pykoi via the [installation](https://github.com/CambioML/pykoi/tree/main?tab=readme-ov-file#installation) guide\n* Follow our [LinkedIn](https://www.linkedin.com/company/96598226)\n* Connect via [Slack](https://join.slack.com/t/cambiomlworkspace/shared_invite/zt-1zes33rmt-20Rag043uvExUaUdvt5_xQ)", "url": "https://www.ycombinator.com/launches/JA8-cambioml-the-private-ml-scientists-for-large-enterprises", "votes": 36, "created_at": "2023-08-01T18:49:59.435Z" } ] }, { "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", "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/silimate", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/silimate.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/silimate", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Silimate", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/61f4bbb4f45487fb9514316eae7b6e1b1c316a4a.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": 1313634, "full_name": "Ann Wu", "title": "Founder", "founder_bio": "Co-founder & CEO of Silimate. Ann designed several generations of custom silicon at Apple, helped manage the inference ASIC programs at Meta, and developed product strategy & execution at an AI chip start-up.", "is_active": true, "linkedin_url": "https://linkedin.com/in/annwuhoo", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dfc547915f4496607e7258cfc4e7e599b544c122.jpg" }, { "user_id": 1184182, "full_name": "Akash Levy", "title": "Founder", "founder_bio": "Co-founder & CTO of Silimate. Akash has a PhD from Stanford in Electrical Engineering, with technical expertise spanning EDA, AI, and cloud through his time at Synopsys, NVIDIA, and AWS. He has taped out 3 chips, published 14 papers on circuit design, and has two pending patents in the EDA space.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/akashlevy/", "x_url": "https://twitter.com/akashlevy", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fda997887e28bf5a1fcf455cfa51c65aaeb83b89.jpg" } ], "jobs": [ { "id": 102953, "title": "Chip/EDA/Software Intern", "url": "https://www.ycombinator.com/companies/silimate/jobs/6CTGk7H-chip-eda-software-intern", "location": "Mountain View, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$5.2K - $7K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 102954, "title": "Applied AI Engineer", "url": "https://www.ycombinator.com/companies/silimate/jobs/RVX3ulq-applied-ai-engineer", "location": "Mountain View, CA, US / San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$140K - $220K", "equity_range": "0.50% - 2.00%", "experience": "1+ years", "visa": "Will sponsor", "skills": [] }, { "id": 102955, "title": "Chip/Software Engineer", "url": "https://www.ycombinator.com/companies/silimate/jobs/kxgYCET-chip-software-engineer", "location": "Mountain View, CA, US / San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $220K", "equity_range": "0.50% - 2.00%", "experience": "1+ years", "visa": "Will sponsor", "skills": [] }, { "id": 102956, "title": "Applied AI Intern", "url": "https://www.ycombinator.com/companies/silimate/jobs/xt2UihN-applied-ai-intern", "location": "Mountain View, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$5.2K - $7K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 102957, "title": "AI Research Intern", "url": "https://www.ycombinator.com/companies/silimate/jobs/BUbLN9M-ai-research-intern", "location": "Mountain View, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$5.2K - $7K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Preparing For AI-Driven Chip Design And Verification", "url": "https://semiengineering.com/preparing-for-ai-driven-chip-design-and-verification/", "date": "Jul 27, 2026" }, { "title": "AI In Chip Design: Lots Of Promise, Plenty Of Unanswered Questions", "url": "https://semiengineering.com/ai-in-chip-design-lots-of-promise-plenty-of-unanswered-questions/", "date": "Jul 15, 2026" }, { "title": "Executive Outlook: Agentic AI's Impact On Chip Design", "url": "https://semiengineering.com/executive-outlook-agentic-ais-impact-on-chip-design/", "date": "Jun 25, 2026" }, { "title": "Agentic AI and the Future of Chip Design: From Productivity Tool to Engineering Partner - SemiWiki", "url": "https://semiwiki.com/semiconductor-services/esd-alliance/370229-agentic-ai-and-the-future-of-chip-design-from-productivity-tool-to-engineering-partner/", "date": "Jun 15, 2026" }, { "title": "Silimate CEO pioneers AI debugger for chip designers", "url": "https://stanforddaily.com/2026/03/11/silimate-ceo-pioneers-ai-debugger/", "date": "Mar 11, 2026" } ], "launches": [ { "id": 73953, "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!", "url": "https://www.ycombinator.com/launches/JEn-silimate-copilot-for-chip-designers", "votes": 65, "created_at": "2023-08-09T16:29:19.599Z" } ] }, { "id": 29189, "name": "RadMate AI", "slug": "radmate-ai", "former_names": [ "RadMate" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3c98f937de28a21f554069f7c5f1175449869819.png", "website": "https://www.radmate.ai", "all_locations": "San Francisco, CA, USA", "long_description": "We’re building the AI copilot for radiologists, powered by a foundational model for medical imaging. RadMate AI will read radiology images and generate full reports for radiologists to review and submit.\r\n\r\nMohamed and Adam are technical co-founders who met while studying Computer Science at Cornell University. Before starting RadMate AI to solve the problems his dad faced as a radiologist, Adam worked at Palantir on the initial launch of Palantir’s Al Platform. Mohamed has experience at AWS, where his goal was to help enterprises innovate on the cloud, and PathAl, where he worked on their image viewer platform to improve the workflow of pathologists. ", "one_liner": "Copilot for radiologists", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1706569110, "tags": [ "SaaS", "Digital Health", "Enterprise Software", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Inactive", "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/radmate-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/radmate-ai.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/radmate-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3c98f937de28a21f554069f7c5f1175449869819.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7a883da5fda143ab7d97a3b041aae4e8e10aff8d.png" ], "primary_partner": null, "founders": [ { "user_id": 1268119, "full_name": "Mohamed Khalifa", "title": "Founder", "founder_bio": "Cofounder & CEO of RadMate AI. Cornell University Alumni. Worked at Amazon Web Services as a Customer Solutions Manager. In this role, I played a pivotal part in assisting customers with their migration to and innovation on the cloud. Following this, I joined PathAI as a Software Engineer, a Biotech company at the forefront of integrating AI into pathology. ", "is_active": false, "linkedin_url": "https://linkedin.com/in/mohamed-taha-khalifa", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/68ede46af83132984c874b91c6bccbe6bf6cb2c7.jpg" }, { "user_id": 1246346, "full_name": "Adam Skrocki", "title": "Founder", "founder_bio": "Cofounder and CTO of RadMate AI. Before starting RadMate AI, I graduated Cornell with a computer science degree and worked at Palantir as a software engineer on the AI Platform. ", "is_active": false, "linkedin_url": "https://linkedin.com/in/adamskrocki", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7cb3d76f50eede7d0fd64d4ac3e17ca53366eeb1.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 78039, "title": "⚡️ RadMate AI: The AI copilot for radiologists", "tagline": "We help radiologists dictate error-free reports with 30% fewer words. ", "body": "Hey everyone - [Mohamed Khalifa](https://linkedin.com/in/mohamed-taha-khalifa) and [Adam Skrocki](https://linkedin.com/in/adamskrocki) here!☀️\n\n_TL;DR: We’re building the AI copilot for radiologists. While reading images, we allow radiologists to dictate what they see, and _[_RadMate AI_](https://www.radmate.ai/)_ will generate and proofread reports for them._\n\n# The problem\n\nRadiologists spend most of their day reading patient images and dictating reports based on the images. As patient access to imaging continues to rise, radiologists face escalating pressure to produce detailed reports quickly.\n\nHowever, the software they use hasn’t changed in over a decade, so radiologists are no longer well-equipped to meet rising demand.\n\n1. Radiologists dictate over 30% more words than they need to, which can lead to fewer reports, [burnout](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618688/#:\\~:text=It%20was%20reported%20that%2054,exhibit%20burnout%20symptoms%20%5B23%5D), and lower quality reporting.\n2. Over [20% of radiology reports](https://www.gehealthcare.com/insights/article/improving-accuracy-in-radiology-images-and-reports#:\\~:text=Inaccurate%20diagnostic%20radiology%20results%20can,contain%20some%20sort%20of%20error) have errors in them. Which can lead to treatment delays, poor outcomes, higher healthcare costs, lost revenue, and operational inefficiencies.\n\n# Our solution\n\nLLMs provide an opportunity to revamp the way radiologists report. We’ve created a platform with an AI copilot that decreases stress on radiologists and increases accuracy by:\n\n1. Minimizing the words radiologists have to say.\n2. Reducing the number of clicks required for report generation.\n3. Proofreading reports to reduce errors.\n\n# The founding team\n\nMohamed and Adam are technical co-founders who met while studying Computer Science at Cornell University. Before starting RadMate AI to solve the problems his dad faced as a radiologist, Adam worked at Palantir on the initial launch of Palantir’s Al Platform. Mohamed has experience at AWS, where his goal was to help enterprises innovate on the cloud, and PathAl, where he built software to improve pathology. We’re excited to take our engineering expertise and our personal ties to healthcare to address the issues radiologists face today.\n\n![uploaded image](/media/?type=post&id=78039&key=user_uploads/1246346/01e3c7a0-b2c8-4457-bb2a-8ba10df25751)\n\n# Our ask 🙏\n\nIf you're a radiologist or know of any, we'd love to connect at [founders@radmate.ai](mailto:founders@radmate.ai)!", "url": "https://www.ycombinator.com/launches/KIh-radmate-ai-the-ai-copilot-for-radiologists", "votes": 130, "created_at": "2024-01-31T20:51:53.040Z" } ] }, { "id": 29254, "name": "Reducto", "slug": "reducto", "former_names": [ "Remembrall" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9794d4fb523375d125992ce9fa5e9e9db45daf9a.png", "website": "https://reducto.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Reducto is the agentic document platform for leading AI teams building systems to automate document workflows at enterprise scale.\r\n\r\nOur platform provides a comprehensive toolkit for working with documents the way a human would, combining custom in-house and leading frontier models to power efficient and accurate document workflows. Reducto is trusted by leading AI teams at companies like Harvey, Scale AI, and Vanta.\r\n\r\nWe are built for enterprise workloads with flexible deployment options from the cloud to fully air-gapped environments, SOC II and HIPAA compliance, and zero data retention.\r\n\r\nLearn more: https://reducto.ai/\r\nFind our YC deal: https://reducto.ai/yc", "one_liner": "The complete agentic document platform", "team_size": 30, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1704664395, "tags": [ "Documents", "Data Engineering", "Enterprise Software", "Search", "AI" ], "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": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/reducto", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/reducto.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/reducto-ai/", "x_url": "https://x.com/reductoai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/reductoai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9794d4fb523375d125992ce9fa5e9e9db45daf9a.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": 1577822, "full_name": "Raunak Chowdhuri", "title": "Founder/CEO", "founder_bio": "Co-founder/CTO at Reducto. Before Reducto I studied CS at MIT, founded/scaled a comp. chem consulting company to 200k ARR, published computer vision papers with 100+ citations before finishing high school, and spent a little too much time shit posting on Twitter.", "is_active": true, "linkedin_url": "https://linkedin.com/in/sauhaarda", "x_url": "https://twitter.com/raunakdoesdev", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/942feecb35daadd157058cc33cb2803b8a8950dd.jpg" }, { "user_id": 850889, "full_name": "Adit Abraham", "title": "Founder/COO", "founder_bio": "Co-founder/CEO at Reducto. Before Reducto I studied CS at MIT, made Ads/Search things as a PM for Google, did ML research at MIT's Media Lab, and spent an unreasonable amount of time playing Pokemon Showdown.", "is_active": true, "linkedin_url": "https://linkedin.com/in/aditabraham", "x_url": "https://twitter.com/AbrahamAdit", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/53a289d9d77cc6b4edf978ab557af36e1442ed30.jpg" } ], "jobs": [ { "id": 69144, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/reducto/jobs/2BVFiJu-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $240K", "equity_range": "0.10% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Python", "TypeScript", "Torch/PyTorch", "Computer Vision" ] }, { "id": 70899, "title": "Machine Learning Engineer", "url": "https://www.ycombinator.com/companies/reducto/jobs/3VS78nJ-machine-learning-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $240K", "equity_range": "0.10% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Python", "Torch/PyTorch", "Computer Vision", "Data Analytics" ] }, { "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" } ] }, { "id": 29256, "name": "Momentic", "slug": "momentic", "former_names": [ "Screenwriter" ], "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": [ "Developer Tools", "B2B", "Enterprise Software", "AI" ], "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/momentic", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/momentic.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/momentic-ai", "x_url": "https://twitter.com/MomenticAI", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/momentic-0b4b", "github_url": "https://github.com/momentic-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d6de9c09ef38f242ca0f06fc3c76a1616228e790.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": 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", "x_url": "https://twitter.com/wuweiweiwu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0fdf7f81604df6c92d629bfbaeb15cd4216e8377.jpg" }, { "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" } ], "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: \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" } ] }, { "id": 29276, "name": "Carousel Technologies", "slug": "carousel-technologies", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/be51ba4d9e1b18ab8424b80f2db46f49c4a22fa9.png", "website": "https://usecarousel.com", "all_locations": "New York City, NY, USA", "long_description": "Carousel is an AI assistant for Excel that builds spreadsheets & models in minutes, not hours.\r\n\r\nCarousel can:\r\n\r\n- Create & edit Excel models of any complexity, including but not limited to: multi-statement financial models with several tabs, FP&A templates based on raw revenue and cost data, scientific data analyses, and more\r\n\r\n- Take in data from PDFs, CSVs, presentations, and images, and build the data into your Excel directly\r\n\r\n- Walk you through complex spreadsheet architecture and each cell's precedents and dependents\r\n\r\n- Format your models tastefully & professionally\r\n\r\n- Build chart dashboards to visualize your data\r\n\r\nIt's more useful than the last intern you hired.", "one_liner": "AI Assistant for Excel", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1707782877, "tags": [ "Finance", "B2B", "Enterprise Software" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "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/carousel-technologies", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/carousel-technologies.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/carousel-tech/", "x_url": "https://www.x.com/usecarousel", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/be51ba4d9e1b18ab8424b80f2db46f49c4a22fa9.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": 857855, "full_name": "Daniel Wolf", "title": "Founder", "founder_bio": "Making spreadsheets less painful", "is_active": true, "linkedin_url": "https://linkedin.com/in/daniel-wolf-6242431b1", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e0b96012bc90a1f87b8fe13bbac44dc2fb61fc7b.jpg" }, { "user_id": 1640043, "full_name": "Jude Rizzo", "title": "Founder", "founder_bio": "Founder @ Carousel, former math/physics student", "is_active": true, "linkedin_url": "https://linkedin.com/in/jude-rizzo-aa71aa207", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5fa048f3dea7a5876f83fb4763983b502644221e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90376, "title": "🧮⚡ Carousel: The AI Assistant For Excel", "tagline": "Build Excel models in minutes, not hours.", "body": "Hi YC! We're Jude & Daniel, and we’ve built Carousel - an AI assistant that transforms how people work in Excel.\n\n# **The Problem: Excel is Powerful but Painful**\n\nExcel remains the universal language of business despite being:\n\n* **Time-consuming**: Building models takes hours of manual work\n* **Error-prone**: Manual data entry and complex formulas lead to mistakes\n* **Intimidating**: Mastering Excel formulas takes years\n\nProfessionals spend countless hours battling spreadsheets instead of focusing on decision-making.\n\n# **Our Solution: Your Personal Excel Intern**\n\nCarousel is an AI assistant that builds spreadsheets & models in minutes, not hours. \n\nhttps://www.youtube.com/watch?v=8_MWw1lMrzQ\n\nWe've built four core features:\n\n**🤖 Carousel Chat** - Build complete multi-tab models from scratch with conversational prompts. No Excel expertise required. [Models that took hours to spin up now take minutes.](https://youtu.be/dQJbqbEJIiY)\n\n**⚡ Quick Fix** - Select any range, hit Ctrl+Enter, and describe what you want. [Format tables, add analytics, or restructure data instantly.](https://youtu.be/BeXluYKKArM)\n\n**🔍 Model Walkthrough** - Understand complex formulas in plain English. [Model Walkthrough rewrites formulas by swapping cell references like S&U_Sheet!K7 with Transaction Closing Costs (4%).](https://youtu.be/sG3s4Bz1sM0)\n\n**📄 File Context** - Stop doing manual data entry. [Carousel pulls information from your documents and puts them into your Excel file live, complete with automatic source citations.](https://youtu.be/jDx9lNbgLMk)\n\nUnlike your last intern, Carousel is competent, doesn’t complain when asked to fix spreadsheet formatting, and doesn’t need a return offer.\n\nCarousel is what Microsoft’s Copilot for Excel promised to be.\n\n# **Who's It Made For?**\n\nCarousel is designed for anyone who spends significant time in Excel:\n\n* **Financial analysts** building complex financial models\n* **Marketing managers** analyzing campaign performance data\n* **Operations leaders** creating forecasts and tracking KPIs\n* **Product managers** organizing feature roadmaps\n* **Scientists** analyzing experimental data\n* **Consultants** preparing client deliverables\n\n# **Why We Made Carousel**\n\nExcel hasn't fundamentally changed in decades, yet it remains central to how teams & businesses operate. \n\nWe built Carousel to bridge the gap between Excel's insane professional capabilities and its usability challenges.\n\n# **Try Carousel Today**\n\nOur open beta starts today for both individuals and enterprise teams. We'd love your feedback!\n\nIf you spend more than 10 hours a week in Excel or know someone who does, we'd love to chat: [founders@usecarousel.com](mailto:founders@usecarousel.com)\n\n[**www.usecarousel.com**](http://www.usecarousel.com)\n\n![uploaded image](/media/?type=post&id=90376&key=user_uploads/857855/84e41b9e-92f3-41a5-b916-bf73501e30ba)\n\n", "url": "https://www.ycombinator.com/launches/NVg-carousel-the-ai-assistant-for-excel", "votes": 22, "created_at": "2025-05-14T00:15:47.757Z" }, { "id": 78887, "title": "📊 👀 Carousel: Track changes for PowerPoint & Excel", "tagline": "Making it easier to review deliverables with high-fidelity change tracking", "body": "Hi! We’re [Jude](https://linkedin.com/in/jude-rizzo-aa71aa207) & [Daniel](https://linkedin.com/in/daniel-wolf-6242431b1), and we’re the co-creators of [Carousel](https://www.carouseltech.io/), a change-tracking tool for PowerPoint & Excel.\n\n \n\n**Investment bankers & consultants don’t use PowerPoint like you do:**\n\nFor most investment banking or consulting projects, the final deliverable is a PowerPoint deck.\n\n \n\nTo make sure the final draft of that deck is perfect, it goes through multiple rounds of review, feedback, & edits.\n\n \n\nThis means that many bankers and consultants spend hours squinting at different decks to see if the footnote on pg. 57 was updated correctly or if all the companies in a table on pg. 34 have uniform EBITDA adjustments.\n\n \n\nSmall details matter a lot, so teams often have to check over hundred-page decks from scratch. This review process is tedious & prone to mistakes.\n\n \n\n**Track deck & model changes with one click:**\n\n \n\nCarousel is a PowerPoint & Excel add-in that captures all the changes made to your team’s materials from shell to client PDF.\n\n \n\n**Carousel tells you exactly WHO changed WHAT and WHEN.** With one click, the add-in highlights everything that changed between any two versions of the model or deck (in your current window, without having to open another file).\n\n \n\n# It’s like Word’s track changes on steroids.\n\n \n\n![uploaded image](/media/?type=post&id=78887&key=user_uploads/857855/b80c80b4-4489-4207-be22-dc1681bc6eb6)\n\n \n\nBefore this, Daniel worked at Bank of America & Elliott Management, where he spent many hours pushing the boundaries of what was possible in PowerPoint & Excel.\n\n \n\nJude was pursuing a Master’s Degree in Mathematics from Cornell with a focus on ML.\n\n \n\nWe realized that PowerPoint & Excel could be a much more pleasant experience for power users with the right tools.\n\n \n\n**If you or someone you know spends more than 15 hours per week in PowerPoint or Excel, **[**let’s chat**](https://calendly.com/daniel-carouseltech)**.**\n\n \n\n ", "url": "https://www.ycombinator.com/launches/KWN-carousel-track-changes-for-powerpoint-excel", "votes": 41, "created_at": "2024-02-29T06:51:51.211Z" } ] }, { "id": 29318, "name": "StarJar", "slug": "starjar", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0fada29ae63edf87d4cbd62fa52e4d06cd8363eb.png", "website": "https://www.starjar.io/", "all_locations": "", "long_description": "Starjar automates inbound document processing workflows for hospitals. These inbound documents include patient referrals, claim files, audit files, medical images and more. We work with many of the top healthcare systems and hospitals in the US and automate millions of inbound documents for them every year.", "one_liner": "Starjar automates inbound document processing workflows for hospitals", "team_size": 11, "industry": "B2B", "subindustry": "B2B", "launched_at": 1742019492, "tags": [ "SaaS", "Healthcare", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Acquired", "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/starjar", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/starjar.json", "year_founded": 2023, "city": null, "country": null, "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0fada29ae63edf87d4cbd62fa52e4d06cd8363eb.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": 1158890, "full_name": "Ruming Zhen", "title": "Founder/CEO", "founder_bio": "Cofounder CEO @Bota. Formerly CEO @StarJar (acquired), ex-Tesla, ex-Stanford Robotics\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/zhenruming", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2a168ff5d7e88d7d6f28c66674923470a80f71bb.jpg" }, { "user_id": 1637604, "full_name": "Qi Zhang", "title": "Founder/CTO", "founder_bio": "ex-Amazon, NPO founder, and dedicated to volunteer work in my free time", "is_active": true, "linkedin_url": "https://linkedin.com/in/qi-zhang-21211264", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cfe17581f13ac2b244ebe601fdb8cdb3c96b34fd.jpg" } ], "jobs": [], "news": [ { "title": "Yahoo Finance: PLAUD.AI Acquires YC-Backed StarJar to Power Its New Enterprise Solution", "url": "https://finance.yahoo.com/news/plaud-ai-acquires-yc-backed-130000190.html", "date": "Apr 15, 2025" } ], "launches": [] }, { "id": 29334, "name": "Decipher AI", "slug": "decipher-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/29585cd58ffa28775d545a62edb03b71fdea79f2.png", "website": "https://getdecipher.com", "all_locations": "San Francisco, CA, USA", "long_description": "Decipher AI generates your E2E tests, maintains them as you ship, and catches issues before customers do. Plus, get alerted when users hit live bugs.\r\n\r\nUsed by the fastest shipping companies including Bilt, Arize, and Vial.", "one_liner": "QA agents that write tests 10x faster with zero maintenance", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1708738486, "tags": [ "Developer Tools", "B2B", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "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/decipher-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/decipher-ai.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/decipher-ai/", "x_url": "https://twitter.com/decipher_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/29585cd58ffa28775d545a62edb03b71fdea79f2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1073351, "full_name": "Michael Rosenfield", "title": "Founder/CEO", "founder_bio": "Michael was most recently a Sr. Product Manager where he led the development of the first native ads format on Google Maps, drove Google Search Ads optimization with $XB revenue growth, and was product lead for Pixel premium tier product line. He started his career at Google as an APM.", "is_active": true, "linkedin_url": "https://linkedin.com/in/rosenfieldmichael", "x_url": "https://twitter.com/_mrosenfield", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/94af7f5bb1b47495a3685c026af0194b992dc871.jpg" }, { "user_id": 1080757, "full_name": "Rohan Das", "title": "Founder/CTO", "founder_bio": "Co-founder @ Decipher AI. Previously a staff engineer and manager at Google on the YouTube Homepage, leading the team that rebuilt the Homepage service from scratch to handle billions of requests per day. Passionate about robust yet practical engineering, AI, and elegant design.", "is_active": true, "linkedin_url": "https://linkedin.com/in/rohan-d", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d390ec93261c64cee095bc97bb916c3f1c9a8154.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97250, "title": "Decipher AI: Agentic QA for the era of coding agents", "tagline": "AI that generates and maintains your E2E tests. Ship fast, without the bugs.", "body": "# **TL;DR**\n\nDecipher offers an AI QA agent for the era of coding agents. Show it your product, and the QA agent generates E2E tests in minutes, maintains them, and catches bugs before customers do so you can keep shipping fast. We’ve already caught bugs for some of the fastest shipping companies and would love to help you!\n\n# **Product Overview**\n\n\n\n# **Who's Decipher AI for?**\n\n* Teams where AI coding agents have made development faster than ever, but QA hasn't kept up. You're shipping more code, but bugs are still slipping through to customers.\n* Large QA teams spending hours writing Playwright scripts, manually updating selectors, and chasing flaky tests. You want comprehensive test coverage without the overhead.\n* Teams without dedicated QA resources, who click through the product every morning hoping to catch issues. You need reliable coverage but don't have time to build it from scratch.\n\n# **What can I do with Decipher AI?**\n\n### **Generate reliable E2E tests in minutes**\n\nRecord your screen, describe a flow, or just ask. Because Decipher has learned your product, it can generate tests, update them, and create variants on demand. A QA agent at your fingertips.\n\n![uploaded image](/media/?type=post&id=97250&key=user_uploads/1073351/4e2df1fd-25e1-4b9f-95ad-20ec408ae027)\n\n### **Tests auto-update as your product changes**\n\nWhen your product or UI changes, the Decipher agent automatically updates your tests. Steps adapt automatically so tests stay reliable and meaningful without manual work.\n\n![uploaded image](/media/?type=post&id=97250&key=user_uploads/1073351/a942e76c-df6b-4630-be1a-1457f1d42760)\n\n### **Get alerted when users hit bugs in production**\n\nSome bugs only happen in the real world. Decipher uses vision AI to watch your customer sessions, and when a user hits a bug, flags it with the session replay, console/network context, and customer impact. \n\n![uploaded image](/media/?type=post&id=97250&key=user_uploads/1073351/f83feabc-ae8f-4b72-8535-4c07407776ec)\n\n# **Meet The Founders**\n\nFounders [Rohan Das](https://www.linkedin.com/in/rohan-d/) and [Michael Rosenfield](https://www.linkedin.com/in/rosenfieldmichael/) bring deep expertise from Google, having led multi-billion-dollar, multi-billion-user products including the YouTube homepage and Pixel. They built Decipher AI so teams using coding agents have a validation layer that keeps up with how fast they're shipping.\n\n# **Our asks**\n\nDecipher is already catching bugs for some of the fastest shipping teams out there! If you're using coding agents to ship faster and need QA that keeps up, we'd love to help. Reach out to [founders@getdecipher.com](mailto:founders@getdecipher.com) or [book a demo here](https://getdecipher.com).", "url": "https://www.ycombinator.com/launches/PIY-decipher-ai-agentic-qa-for-the-era-of-coding-agents", "votes": 13, "created_at": "2026-01-28T15:58:48.478Z" }, { "id": 92528, "title": "Decipher: AI that discovers issues and opportunities in your product", "tagline": "Decipher’s AI agents watch all your user sessions – helping you identify and act on product issues and insights.", "body": "Hey YC! Michael and Rohan here!\n\n**TL;DR:** Decipher offers real‑time agents that use vision language models to watch every customer sessions to detect, diagnose, and even help ship the fix for anything that blocks user happiness—from silent drop‑offs to full‑blown errors.\n\nSign Up For Free » [getdecipher.com](http://getdecipher.com)\n\nBook A Call » [cal.com/decipher/discovery](http://cal.com/decipher/discovery)\\\n[Video overview](https://www.youtube.com/watch?v=f9LIZie4ogY)\n\n---\n\n## **Why we built Decipher**\n\nShipping speed is up, but visibility into _real_ user experience hasn’t kept pace. Teams still burn days—and sometimes miss problems entirely:\n\n* Users hitting confusing UI and running into bugs in core workflows\n* Figuring out what exactly people are doing that lead to app errors and how many people are affected\n* Scrubbing thousands of sessions to learn why an important new feature isn’t used\n\nThe root cause is signal overload—billions of events, little prioritization. We flipped that on its head: let AI watch the firehose, surface what truly matters to adoption, satisfaction and revenue, and automate the busywork after discovery.\n\n---\n\n## **How it works**\n\n* **Discover:** Real‑time monitoring catches hiccups, drop‑offs, errors—or any custom condition you set, no redeploy needed.\n* **Investigate:** Ask in plain English and get AI summaries, session clips, and console logs instantly.\n* **Act:** One‑click Linear ticket or PR draft with all the context so fixes land before metrics suffer.\n\nA feedback loop on every action continuously teaches the model, dialing down noise while accuracy climbs.\n\n> Decipher’s basically 1,000 QA interns watching every user session in real‑time and obsessing over improving the user experience. **In the first four weeks it surfaced over one hundred issues and UX improvements.** Now the team ships features instead of binge‑watching session replays.\n\n— Keith Fearon, Head of Product & Growth, 11x\n\n**Issue Explorer**\n\nBrowse the issues Decipher detects and filter by feature, account, impact, time range, and more. Export straight to Linear.\n\n![uploaded image](/media/?type=post&id=92528&key=user_uploads/1073351/0dadbdcb-7375-4565-8898-e6fd2c4e83ae)\n\n**Session Deep Research**\n\nAsk the Decipher agent any question about customers and get detailed responses citing real sessions.\n\n![uploaded image](/media/?type=post&id=92528&key=user_uploads/1073351/202e6275-5278-4465-8250-445a30580acb)\n\n**Issue Alerts**\n\nRoute alerts to your favorite tool, like Slack or email, with AI noise-reduction so teams never miss the signal.\n\n![uploaded image](/media/?type=post&id=92528&key=user_uploads/1073351/fe19231d-6d8c-44d9-8f33-338b21eb14e2)\n\n**Smart Funnels**\n\nGenerate funnels based on any user behavior and Decipher will analyze drop-offs to help you understand the root cause.\n\n![uploaded image](/media/?type=post&id=92528&key=user_uploads/1073351/99b7c7c8-7690-4249-ac84-81708c296902)\n\n## **Where it fits in your stack**\n\n* **Setup:** Drop‑in SDK or web snippet; optional connectors for PostHog, Sentry, Segment.\n* **Workflows:** Creates Linear tickets for you. Pings you on Slack and email. And one click copy context to Cursor.\n* **Platforms:** Web today; iOS & Android are on our roadmap.\n* **Security:** Data encrypted in transit & at rest and client‑side PII masking.\n\nIntegration is < 5 minutes. First insights usually appear within the hour.\n\nCompanies of all sizes from small startups to unicorns already rely on Decipher to keep launches smooth and adoption climbing. Their teams ship faster, users stay delighted, and engineering effort goes back to roadmap features instead of reading logs and trying to repro issues.\n\nGet started today, no credit card required at [getdecipher.com](http://getdecipher.com) or schedule a call with our team: [cal.com/decipher/discovery](https://cal.com/decipher/discovery)\n\n![uploaded image](/media/?type=post&id=92528&key=user_uploads/1073351/911f3dcb-c76f-4ef2-ab29-43e7a45790d4)\n\n", "url": "https://www.ycombinator.com/launches/O4O-decipher-ai-that-discovers-issues-and-opportunities-in-your-product", "votes": 23, "created_at": "2025-07-28T21:00:11.052Z" }, { "id": 86416, "title": "Decipher AI: An AI agent that watches thousands of session replays for you", "tagline": "AI that analyze your session replays with vision LMs to help you understand user behavior, detect bugs and discover insights", "body": "# **TL;DR**\n\nDecipher AI offers an AI agent that uses advanced vision LMs to watch thousands of hours of session replays for you so you can discover customer issues in realtime, understand feature usage, and get product questions answered. We’ve already analyzed millions of session replays and would love to help you!\n\n# **Product Demo**\n\n\n\n# **Who’s Decipher AI for?**\n\n* Teams tired of sifting through Posthog, FullStory, or Hotjar recordings, hoping to stumble on key insights or looking for something specific. Decipher AI analyzes them all so you can focus on your job.\n* Teams that wish they had a high resolution and a bird’s-eye view of how users actually interact with their product—without manual tagging, proactive instrumentation, or complex data queries.\n* Teams tired of reactive firefighting. Get alerted the moment users start running into new issues or bugs so you can jump straight to shipping a fix.\n\n# **What can I do with Decipher AI?**\n\nDecipher AI empowers you to uncover how your customers engage with your product and gain insights into its behavior for each unique user.\n\n### Session Intelligence\n\nStop scrubbing through hours of video. Get succinct, AI-generated timelines of each session, highlighting the most important parts.\n\n![uploaded image](/media/?type=post&id=86416&key=user_uploads/1073351/e72fd09d-008b-4491-9d4d-e0003d90d7f3)\n\n### Behavior Discovery\n\nFind out how customers use specific features or workflows in seconds, uncover patterns you never knew existed, and jump straight to relevant moments in sessions.\n\n![uploaded image](/media/?type=post&id=86416&key=user_uploads/1073351/590d9aa7-f42d-4f67-97d7-2d7b348c3039)\n\n### Hands-free Product Analytics\n\nGet product analytics without any manual instrumentation or CSS definitions. \n\n![uploaded image](/media/?type=post&id=86416&key=user_uploads/1073351/f590e6f8-eaf9-40ac-a02a-dacb3feb67c7)\n\n### Issue Detection\n\nIdentify exactly when and where users hit bugs and issues. Prioritize new issues and know precisely if a deployed fix worked.\n\n![uploaded image](/media/?type=post&id=86416&key=user_uploads/1073351/25b0f561-b12c-4a97-a5ab-71508b62789b)\n\n### Simple, 5-Minute Setup\n\nJust copy and paste a single script. That’s it. No manual instrumentation, no labor-intensive tagging, and no complicated SQL queries.\n\n# **Meet The Founders**\n\nFounders [Rohan Das](https://www.linkedin.com/in/rohan-d/) and [Michael Rosenfield](https://www.linkedin.com/in/rosenfieldmichael/) bring deep expertise from Google, having led multi-billion-dollar, multi-billion-user products at Google including the YouTube homepage and Pixel. They created Decipher AI to make understanding user and product behavior effortless for everyone.\n\n# **Our asks**\n\nDecipher AI has already analyzed millions of session replays for companies of all sizes! If you’re interested in having our AI agent watch all of your session replays so you can understand customer behavior, find issues, and improve product please reach out to [founders@getdecipher.com](mailto:founders@getdecipher.com) or [book a demo here](https://cal.com/decipher/demo).", "url": "https://www.ycombinator.com/launches/MTo-decipher-ai-an-ai-agent-that-watches-thousands-of-session-replays-for-you", "votes": 40, "created_at": "2024-12-19T16:39:32.588Z" } ] }, { "id": 29398, "name": "ProSights", "slug": "prosights", "former_names": [ "ProSights", "Prosights" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7af3ebc3d01b55f1bcbe3d6c0c7f7edbaae31b20.png", "website": "https://prosights.co/", "all_locations": "New York City, NY, USA", "long_description": "", "one_liner": "ProSights is a data / AI transformation partner to PE-backed portcos.", "team_size": 14, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1711348390, "tags": [ "Fintech", "Analytics", "Enterprise Software", "Investments", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "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/prosights", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/prosights.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/prosightsdata/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/prosights", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7af3ebc3d01b55f1bcbe3d6c0c7f7edbaae31b20.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": 1648409, "full_name": "Justin Wu", "title": "Founder", "founder_bio": "Justin is a co-founder of ProSights. Previously, he worked in consumer tech PE / growth equity at Permira, PE at BayPine Capital, and investment banking at Citi. Justin studied economics at Harvard.", "is_active": true, "linkedin_url": "https://linkedin.com/in/justinwuokc", "x_url": "https://twitter.com/jw00zy", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4b64498f5e1d62b8cf9833f9e4e0f2070aeff4d6.jpg" }, { "user_id": 497083, "full_name": "Aaron Guo", "title": "Founder", "founder_bio": "Aaron is a co-founder of ProSights. Previously, he worked in consumer tech PE / growth equity at Permira and before that in technology investment banking at Goldman Sachs. Aaron studied economics at UChicago.", "is_active": true, "linkedin_url": "https://linkedin.com/in/guoaaron", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fbb15cbf0f6d3f5412278027ad8a79763439a61a.jpg" } ], "jobs": [ { "id": 97233, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/prosights/jobs/GQaqiBZ-forward-deployed-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $200K", "equity_range": "0.25% - 0.75%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 102481, "title": "Deployment Lead", "url": "https://www.ycombinator.com/companies/prosights/jobs/Q93eVut-deployment-lead", "location": "New York, NY, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$175K - $225K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 79798, "title": "🚀 ProSights : AI-native workflow automation platform for financial institutions.", "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", "votes": 591, "created_at": "2024-03-29T15:27:50.358Z" } ] }, { "id": 29455, "name": "CommodityAI", "slug": "commodityai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/933c7f548a28cf3c29ce287133e7a5c8f9b0ca0c.png", "website": "https://commodityai.io/", "all_locations": "San Francisco, CA, USA", "long_description": "CommodityAI builds intelligent automation agents for some of the most operationally complex businesses in the world: physical commodity traders.\r\n\r\nIn trading operations, critical data is often buried in spreadsheets, emails, PDFs, and legacy systems — making workflows slow, error-prone, and overly manual. CommodityAI acts as a digital operator, continuously reading, interpreting, and updating information across the trade lifecycle to keep records accurate and systems in sync.\r\n\r\nOur agents extract and validate key details from trade confirmations, contracts, vessel updates, and more — turning scattered, unstructured data into clean, structured records that flow directly into CTRMs, ERPs, and other core platforms. No manual entry required.\r\n\r\nBy automating what others still do by hand, we help trading teams move faster, reduce risk, and focus on the decisions that matter most.", "one_liner": "The AI operating system for commodity operations", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1710175582, "tags": [ "B2B", "Workflow Automation", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 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/commodityai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/commodityai.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/commodityai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/933c7f548a28cf3c29ce287133e7a5c8f9b0ca0c.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": 1080598, "full_name": "Philip Koenig", "title": "Founder/CEO", "founder_bio": "CEO & Co-founder at CommodityAI", "is_active": true, "linkedin_url": "https://linkedin.com/in/philipkoenig", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3cfade36a66c9ca1104d7deb32c95e33f013bb51.jpg" }, { "user_id": 1800705, "full_name": "Daniel Cervoni", "title": "Founder", "founder_bio": "Head of Engineering & Co-Founder at CommodityAI", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dcervoni/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ac13b2059b7d0b600f64661856a8828b4277e8ea.jpg" }, { "user_id": 1534677, "full_name": "Kyle Franz", "title": "Founder/CTO", "founder_bio": "CTO & Co-Founder at CommodityAI", "is_active": true, "linkedin_url": "https://linkedin.com/in/kyle-manuel-franz-7a4351a8", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c9dd6b8ec50f1f2a35014a57c57bc54bf85b55f9.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 79344, "title": "CommodityAI — The shipment management platform for commodity traders", "tagline": "Meet CommodityAI, the easiest way for commodity traders to manage shipments", "body": "Hi everyone! We’re [Philip](https://linkedin.com/in/philipkoenig), [Kyle](https://linkedin.com/in/kyle-manuel-franz-7a4351a8), and [Daniel](https://www.linkedin.com/in/dcervoni/) from [CommodityAI](https://commodityai.io/). We are building a platform for commodity traders to manage their shipments.\n\n**tl;dr** CommodityAI makes it easy for commodity trading companies to manage their shipments. One of the largest sugar traders uses our product to classify over a million documents, extract relevant fields from them, and organize them by shipment. They also use us to execute shipment-related workflows, like sending shipment status updates and generating vessel nominations.\n\n# **The Problem**\n\nShipping commodities requires a company to manage \\~200 processes and over 50 documents. Now imagine you're managing thousands of shipments a month, and tens of thousands in a year. As a result, a trading company’s workforce spends \\~70% of their day on admin and 40% of operating costs are allocated to labor. Almost all of our customer calls have had one thing in common: the trader or operations person can recall a time in the past 6 months when a document or process error resulted in the firm losing hundreds of thousands of dollars.\n\nThese processes also differ between customers. In other words, no 2 customers run their commodity trading operations the exact same way. This makes it difficult to build a one-size-fits-all solution without being intimately familiar with the space and the nuances of these shipments.\n\n# **The Solution**\n\nWe’ve built AI, automation, and collaborative tools built specifically for commodities trading. Our customers use CommodityAI to manage thousands of shipments and process millions of shipment-related documents. This includes classifying them, extracting relevant fields, and organizing them. They also use our platform to automate a series of time-consuming, related tasks that they do in their day-to-day, such as tracking vessels, generating vessel nominations, and sending real-time updates to their counterparty.\n\n**Document Processing Workflow: Classify, Extract data, create shipment**\n\n![uploaded image](/media/?type=post&id=79344&key=user_uploads/1800705/47492cb6-5514-42b8-97ea-03ad19cad07e)\n\n**Track and Send Shipment Status Updates**\n\n![uploaded image](/media/?type=post&id=79344&key=user_uploads/1800705/524a9171-3d63-42a0-8a14-d5360ecda593)\n\nOur goal is to ultimately take the number of manual processes within a commodities shipment down to 0, transforming the way commodity trading companies manage their operations.\n\n# **Ask**\n\nWe know there aren’t too many commodity trading companies probably checking YC every day, but we do know many founders worked as traders or know traders from previous work experience! We’d be extremely grateful for any introductions to potential customers or investors =).", "url": "https://www.ycombinator.com/launches/Kdk-commodityai-the-shipment-management-platform-for-commodity-traders", "votes": 85, "created_at": "2024-03-13T01:53:54.452Z" } ] }, { "id": 29574, "name": "Superunit", "slug": "superunit", "former_names": [ "Unit IQ" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fbd00107f697b5f5493bc13c93f8896ad8eff46b.png", "website": "http://superunit.com", "all_locations": "Los Angeles, CA, USA", "long_description": "Superunit deploys AI voice and email agents to complete employment verifications for background check companies—faster, cheaper, and more compliant than internal teams or outsourced call centers.\r\n\r\nOur agents call and email employers, collect verification data, and log every interaction for audit and compliance. Customers are replacing manual workflows with Superunit to scale without adding headcount or compromising quality.\r\n\r\nWe work with background screeners and banks to process thousands of verifications per month.", "one_liner": "Faster, more profitable background checks with AI", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1719276994, "tags": [ "SaaS", "B2B", "HR Tech", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 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/superunit", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/superunit.json", "year_founded": 2024, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/superunit-ai", "x_url": "https://x.com/SuperunitHQ", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fbd00107f697b5f5493bc13c93f8896ad8eff46b.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": 505183, "full_name": "Peter Marler", "title": "Founder/CEO", "founder_bio": "Peter, CEO of Superunit, leads his second venture after founding the VC-backed Robin Golf. His career spans roles at Facebook, Quantifind, and NBCUniversal. He holds an MBA from Stanford.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/marler/", "x_url": "https://x.com/peter_marler", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/128aed7e2f70a6ef654af36c0e3af7dd4b475faa.jpg" }, { "user_id": 1869331, "full_name": "Zach Yellin-Flaherty", "title": "Founder/CTO", "founder_bio": "Zach is a software engineer who spent years building payments infrastructure at Stripe and Index. He hold two Computer Science degrees from Stanford.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zachary-yellin-flaherty/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1dc96966b3303bac2296834bae778889bc200b46.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97430, "title": "Superunit: We automate the most soul-crushing job in background checks", "tagline": "Employment verifications, end-to-end.", "body": "Hi we’re Peter and Zach from Superunit.\n\n**TL;DR:** Background screeners and banks have used us to process over 70,000 employment verifications. Our platform handles handles phone calls, emails, faxes, and compliance end-to-end.\n\n**❌ Employment verifications are soul-crushing, but necessary**\n\nEvery time someone gets hired, applies for a mortgage, or needs a background check, someone has to verify they actually worked where they said they did.\n\nThis means millions of phone calls per year to HR/payroll/admin departments. Leaving voicemails. Sending emails. Sending faxes (yes, in 2026). Waiting days for callbacks. Calling back. Getting transferred. Leaving more voicemails.\n\nBackground screeners and banks hire armies of people to do this. It's tedious, expensive, and the turnover is bad because the job is mind-numbing.\n\n**💡 What we built**\n\nSuperunit handles employment verifications end-to-end. We do contact research, call HR/payroll/admin departments, navigate phone trees, handle documents, send emails and faxes, and and publish the results back to your ERP.\n\n**🎬 See it in action**\n\n— Watch Ava Do an Employment Verification — \\\n\n\n— Check Out the Platform —\\\n[https://youtu.be/Z-s7F7sqbmE](https://youtu.be/iYKBcB-Y1Vo)\n\n**📊 Traction**\n\n* **65% results obtained**\n* **1 business day** average turnaround\n* **40+ customers** - Banks and background screening companies\n* **70,000 verifications processed**\n* **98% conversion rate** from pilot to full time\n* Two **top-10 background screeners signed**; all top 4 background screeners by revenue in active pipeline.\n\n**🔥 What customers say**\n\nOne customer: _\"If I have this technology, we will dominate the field.\"_\n\nA mortgage lender scaled their loan volume **20x** while keeping their verification team at just **2 people** - they avoided hiring 12 additional heads.\n\nAnother said: _\"You were a game-changer when we were in a really tight spot. We were growing quickly and losing customers because we couldn’t meet their expectations.\"_\n\n**🎯 But Why**\n\nWe pivoted a few months after demo day. We had been told by a product leader at Checkr that employment verifications were “soul crushing.”\n\nWe got curious.\n\nWe started building in January 2025, signed our first customer in March, signed a series C customer in April, signed a top-5 screener in September, signed our first mortgage lender shortly after, crossed 10k, then 50k, then 70k verifications processed, with many more to go!\n\n👥 **Team**\n\n[Zach Yellin-Flaherty](https://www.linkedin.com/in/zachary-yellin-flaherty/) - CTO - ex-Stripe, ex-Index, Stanford BS/MS in CS\n\n[Peter Marler](https://www.linkedin.com/in/marler/) - CEO - 2x founder, ex-Facebook, ex-Quantifind, Stanford GSB\n\n**🙏 Our ask**\n\n* Are you doing employment verifications when hiring? Text me\n* Are you bored of people calling your team to get employment verifications? Text me\n* Play golf with people who work at mortgage lenders? Text me!\n\n**Phone:** (518) 207-5511\n\n**Email:** [peter@superunit.ai](mailto:peter@superunit.ai)\n\n👉 [superunit.ai](https://superunit.ai)", "url": "https://www.ycombinator.com/launches/PLS-superunit-we-automate-the-most-soul-crushing-job-in-background-checks", "votes": 15, "created_at": "2026-02-03T17:47:01.687Z" }, { "id": 82712, "title": "Superunit 💆🏼‍♂️ AI accounting agents for companies selling physical products", "tagline": "Effortlessly automate accounting, integrate inventory data, and eliminate financial statement errors", "body": "**🙈 TL:DR:** Companies selling physical products spend a fortune on accounting and are still left with incorrect financials because of inventory related complications. We fix that.\n\n![uploaded image](/media/?type=post&id=82712&key=user_uploads/505183/a2949d25-3407-403c-88d4-f6f9beff9ce7)\n\n🥵 **PROBLEM**: Companies selling physical products struggle with accounting and inventory operations. Current bookkeeping methods rely heavily on manual input and are often disconnected from accurate inventory data. This leads to mistakes in important financial figures like cost of goods sold (COGS), inventory value, margins, and cash flow. As a result, businesses spend a lot of time and money only to gain an inaccurate picture of their financial health. These inaccuracies lead to poor budgeting decisions, loan rejections, failed fundraising, non-compliance, and frequent cash flow crises.\n\n😍 **OUR SOLUTION:** A powerful AI accounting agent built specifically for companies selling physical products.\n\nOur platform automates bookkeeping and completes a variety of crucial product operations tasks such as calculating COGS, optimizing POs, and conducting contribution margin analysis with only a few clicks.\n\nAll financial and inventory data is connected and written back to QBO or your ERP, eliminating financial statement errors, saving dozens of hours per month, and thousands on accounting costs.\n\n![uploaded image](/media/?type=post&id=82712&key=user_uploads/505183/56544b6d-0310-4c0e-a398-09bdb3945f94)\n\n💡 **THE INSPIRATION:** As the founder of Robin Golf, [Peter](https://www.linkedin.com/in/marler/) encountered this problem frequently. Doing the financials required an expensive team and the books were always inexplicably wrong. As as a result, the company was underwritten for debt and equity incorrectly, wasn’t able to make proper budgeting decisions, couldn’t forecast inventory needs, couldn’t optimize channel mix, and was blindsided by cash shortfalls.\n\n![uploaded image](/media/?type=post&id=82712&key=user_uploads/505183/46551b06-df3e-4d8c-bc8e-46a92a333bf8)\n\n👬 **THE TEAM**: [**Peter Marler**](https://www.linkedin.com/in/marler/) (CEO) was the co-founder/CEO of Robin Golf, a venture backed, multichannel golf equipment company. Prior to that he held roles at Facebook, Quantifind, and NBCUniversal. He is a graduate of Stanford GSB.\n\n[**Zach Yellin-Flaherty**](https://www.linkedin.com/in/zachary-yellin-flaherty/) (CTO) previously built payments infrastructure at Stripe and Index. He holds two Computer Science degrees from Stanford.\n\n🙏🏼 **ASK:** We’re onboarding customers and looking to grow! We’d love intros to CEOs/CFOs/COO of companies selling physical products - ecomm brands, wholesalers, retailers, dropshippers.\n\n🔗 **LINKS:** Connect with us on these platforms in the meantime!\n\n[**Company Linkedin**](https://www.linkedin.com/company/unit-iq/)\n\n[**Peter Linkedin**](https://www.linkedin.com/in/marler/)\n\n[**Zach Linkedin**](https://www.linkedin.com/in/zachary-yellin-flaherty/)\n\n[**Peter Twitter**](https://x.com/peter_marler)", "url": "https://www.ycombinator.com/launches/LW4-superunit-ai-accounting-agents-for-companies-selling-physical-products", "votes": 10, "created_at": "2024-08-05T01:44:25.456Z" } ] }, { "id": 29623, "name": "Entangl", "slug": "entangl", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5593913bae70a1285b652709232688417e1071ac.png", "website": "https://www.entangl.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Entangl uses AI to detect and automatically resolve issues in data center engineering and operations, ensuring efficiency and uptime. ", "one_liner": "Find & resolve issues in data center engineering & operations using AI", "team_size": 22, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1716219164, "tags": [ "Enterprise Software", "Infrastructure", "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, "question_answers": null, "url": "https://www.ycombinator.com/companies/entangl", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/entangl.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/entangl", "x_url": "https://twitter.com/Entangl_AI", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/entangl", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5593913bae70a1285b652709232688417e1071ac.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": 533860, "full_name": "Shapol M", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO at Entangl. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/shapol", "x_url": "https://twitter.com/Shapol_m", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7d51f52ae31d3904f1480fb565c673d80836be24.jpg" } ], "jobs": [ { "id": 93501, "title": "Jony Ive", "url": "https://www.ycombinator.com/companies/entangl/jobs/Mmxt1jv-jony-ive", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Design", "role_type": "Web design", "salary_range": "$120K - $180K", "equity_range": "1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "JavaScript", "Figma", "Svelte" ] }, { "id": 93502, "title": "Jony Ive", "url": "https://www.ycombinator.com/companies/entangl/jobs/snSaa27-jony-ive", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$120K - $180K", "equity_range": "1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "TypeScript", "Figma", "Svelte" ] }, { "id": 97599, "title": "Bill McDermott (Account Executive)", "url": "https://www.ycombinator.com/companies/entangl/jobs/7WIZ9Gt-bill-mcdermott-account-executive", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$150K - $300K", "equity_range": "0.10% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 97630, "title": "Greg Brockman", "url": "https://www.ycombinator.com/companies/entangl/jobs/s6zm6uT-greg-brockman", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $200K", "equity_range": "0.10% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 98981, "title": "Account Executive", "url": "https://www.ycombinator.com/companies/entangl/jobs/JwshcnN-account-executive", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$130K - $350K", "equity_range": "0.10% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 98982, "title": "Sales Development Rep (SDR)", "url": "https://www.ycombinator.com/companies/entangl/jobs/ffkLbxN-sales-development-rep-sdr", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$70K - $100K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 110929, "title": "Full Stack Engineer", "url": "https://www.ycombinator.com/companies/entangl/jobs/CJBPxvX-full-stack-engineer", "location": "San Francisco, CA, US / SG / Remote (US; 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Background in finance with internships at Morgan Stanley (IBD), Lazard (IBD), PE.\nMSc Business Engineering and MSc Artificial Intelligence (majority coursework, did not graduate).", "is_active": true, "linkedin_url": "https://linkedin.com/in/hendrik-van-hove", "x_url": "https://twitter.com/vh_hendrik", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c4b57f27c093a05bf732b4c5db01b891ac89cbc8.jpg" } ], "jobs": [ { "id": 94338, "title": "Client Growth Manager - UK/Europe", "url": "https://www.ycombinator.com/companies/conveo/jobs/vV02XiA-client-growth-manager-uk-europe", "location": "London / Antwerp", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "€60K - €85K EUR", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 94343, "title": "Business Development Representative (BDR) - NYC", "url": "https://www.ycombinator.com/companies/conveo/jobs/yFU9IMC-business-development-representative-bdr-nyc", "location": "New York", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$60K - $80K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 99761, "title": "Finance & Strategy Associate", "url": "https://www.ycombinator.com/companies/conveo/jobs/mLITilr-finance-strategy-associate", "location": "London / Antwerp / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106649, "title": "GTM Associate - Internship", "url": "https://www.ycombinator.com/companies/conveo/jobs/c60patv-gtm-associate-internship", "location": "Antwerp", "type": "Internship", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 106650, "title": "Research Impact Lead - SF", "url": "https://www.ycombinator.com/companies/conveo/jobs/fLaHN5s-research-impact-lead-sf", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$80K - $150K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106651, "title": "Events Manager US", "url": "https://www.ycombinator.com/companies/conveo/jobs/WH5FYp3-events-manager-us", "location": "New York", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$110K - $140K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106653, "title": "Senior Product Engineer (€90-€110k + Benefits +Equity) ", "url": "https://www.ycombinator.com/companies/conveo/jobs/oRvcpht-senior-product-engineer-90-110k-benefits-equity", "location": "Antwerp", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "€90K - €110K EUR", "equity_range": "", "experience": "5+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 106654, "title": "Strategy & Ops Associate", "url": "https://www.ycombinator.com/companies/conveo/jobs/iqo8wLZ-strategy-ops-associate", "location": "Antwerp / London / Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106655, "title": "Senior Product Engineer ($200k-$260k + Equity) - NYC", "url": "https://www.ycombinator.com/companies/conveo/jobs/dAcZSPS-senior-product-engineer-200k-260k-equity-nyc", "location": "New York", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $260K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106656, "title": "Senior Product Engineer (£80k-125k + Equity) ", "url": "https://www.ycombinator.com/companies/conveo/jobs/dOqH8NT-senior-product-engineer-80k-125k-equity", "location": "London", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£80K - £130K GBP", "equity_range": "", "experience": "5+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 106657, "title": "Finance & Strategy Associate", "url": "https://www.ycombinator.com/companies/conveo/jobs/fTA3U5R-finance-strategy-associate", "location": "London / Antwerp / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "£50K - £90K GBP", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106658, "title": "Head of Product Marketing", "url": "https://www.ycombinator.com/companies/conveo/jobs/xIQdB1D-head-of-product-marketing", "location": "New York", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$130K - $160K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106659, "title": "Sales Director", "url": "https://www.ycombinator.com/companies/conveo/jobs/C57iULo-sales-director", "location": "London", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "£100K - £120K GBP", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106660, "title": "Product Engineer (Internal tools & apps)", "url": "https://www.ycombinator.com/companies/conveo/jobs/gAxAdvU-product-engineer-internal-tools-apps", "location": "London / Antwerp", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£90K - £110K GBP", "equity_range": "", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 106661, "title": "Sales Director ", "url": "https://www.ycombinator.com/companies/conveo/jobs/Mn7Qzig-sales-director", "location": "New York / San Francisco", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$150K - $200K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106662, "title": "Design Lead", "url": "https://www.ycombinator.com/companies/conveo/jobs/B6CZoQk-design-lead", "location": "New York / Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$150K - $190K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106663, "title": "Paid Marketing Associate", "url": "https://www.ycombinator.com/companies/conveo/jobs/iqAWwwQ-paid-marketing-associate", "location": "New York", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$70K - $90K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106664, "title": "Head of Video Content ", "url": "https://www.ycombinator.com/companies/conveo/jobs/tKOeU8l-head-of-video-content", "location": "New York", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$150K - $190K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Conveo raises $50M Series A — Conveo", "url": "https://conveo.ai/mediakit/series-a", "date": "Sep 02, 2026" }, { "title": "Conveo raises $5.3M to revolutionize market research with AI-powered video interviews", "url": "https://conveo.ai/blog/2025-03-06-conveo-raises-5-3m-to-revolutionize-market-research", "date": "Mar 06, 2025" } ], "launches": [ { "id": 83007, "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\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": 29736, "name": "MagiCode", "slug": "magicode", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4f1dbd87ba1f72f5d3f7bc950ca874d61b4ac849.png", "website": "https://www.magicode.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "MagiCode is an AI-powered frontend agent that writes, reviews, and rigorously tests code before pushing a PR—helping busy frontend teams offload complex, repetitive tasks from their workload.", "one_liner": "A Reliable AI Frontend Engineer", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1724977749, "tags": [ "Developer Tools", "Generative AI", "SaaS", "B2B", "Enterprise Software" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "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": null, "url": "https://www.ycombinator.com/companies/magicode", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/magicode.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/magicode-ai", "x_url": "https://twitter.com/AutonomyPioneer", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4f1dbd87ba1f72f5d3f7bc950ca874d61b4ac849.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1857814, "full_name": "Jeff He", "title": "Founder/CEO", "founder_bio": "Before founding MagiCode, Jeff earned a Master’s degree from Stanford, where he contributed to the Stanford AI Lab, and an undergraduate degree from UC Berkeley, where he was part of the Berkeley AI Research Group (BAIR). He has published four papers on self-driving cars and reinforcement learning in top conferences like NeurIPS and ICRA. Previously, Jeff also worked as an SDE & a quant, where he developed his expertise in AI and machine learning.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jeff-he-99a96b163/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9ece28c3976ae3cf4127574a7b1dcfe8dc287b99.jpg" }, { "user_id": 1256805, "full_name": "Anirudh Sriram", "title": "Founder/CTO", "founder_bio": "Before founding MagiCode, I earned a Master’s degree from Stanford University, where I contributed to the Stanford AI Lab and Stanford Vision and Learning Lab. I also hold an undergraduate degree from IIT Madras. I have published six papers on large language models (and NLP in general) in prestigious conferences such as NeurIPS, ACM, and ACL. Prior to MagiCode, I gained extensive experience through my work at Google Research, Microsoft, Walmart Labs, etc.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anirudh-sriram-1b136318a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/745facb34cf028e476b98560c18737e9297966c8.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83620, "title": "MagiCode - Proactive AI Pair Programmer", "tagline": "MagiCode anticipates developers’ needs and offers them active guidance. ", "body": "**TLDR:**\n\n[MagiCode](https://www.magicode.ai/) is a **proactive** AI pair programmer that intuitively understands developers' actions in real-time, actively anticipates their next steps, and offers assistance even before they ask.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdi0SQOOv0alhPERCWVCENvw7nB-U00PP82FQpevrGFc4QLGSwd53sQQ7E0FR5Vomx_GZxdx_9fflyHAWQi1-nJpg-L1KfwOqf-xvYbVInucv5T-rYfH0sqeIuhzU1xMsjgbbUvewcy7J0_2SqrGUWTWZzj?key=IP7Rk802TWBSSnOAUrqnyQ)\n\n**Why are we building this? ⚙️**\n\nWe were active users of various AI coding tools even before they were named “pair programmers”. However, the experience was underwhelming because: \n\n1. they are **not really “intelligent”**: we always had to type out multiple shortcuts for our queries to be routed to the right AI agent to handle. \n2. when we were deeply immersed in a task/implementation, we often didn’t know **how, or what** to ask the AI Coding tool. For example, when implementing a button that triggers a POST/ request to the backend API, we have to constantly jump around multiple files, making modifications across different functions. In this scenario, before asking the AI to help us with implementation, we actually have to spend time thinking about “how” to frame our questions:\n\n \n\n* How do we explain what the functionality of this button is? \n* Which file names should we mention to the AI as being relevant? \n* How can we succinctly phrase all relevant context, including current progress or past edits/changes that we have made, so that the AI will give us the best output?\n\nAs a result, we often resorted to doing everything ourselves to avoid the tedious back-and-forth. \n\nIn those moments, we realized what we wanted was a tool that could **fetch global context** without relying on shortcut commands, anticipate our needs, and even understand what we were thinking before typing anything— something that was always **“on the same page”** with us. That’s exactly what led us to create MagiCode— a tool that can answer all the developer’s questions intelligently, and also **proactively assist** without needing to be prompted.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcgtDCwIm0PlMe_DCSQip8X8jXRnbAeLD9SCjhBN43ZcTRbnyfl8Mhi3WTfOVJyXwaYO50Ef2ZZtGPcq8bKngNnBgc0071stmvyCd1HdlYlJUVJfKNLKGT1IWpoLmX9B2GroQSiBhGjQj3sS7reml024gq1?key=IP7Rk802TWBSSnOAUrqnyQ)\n\n**How are we different from existing solutions? 🤔**\n\n* **Proactive Assistance:** We bring the answers to you without you even asking. MagiCode is designed to constantly analyze the project's state and make suggestions for what you can do next. As a user, all you have to do is click on a suggestion and watch as MagiCode works on files asynchronously and brings you the finalized results with easy-to-view diff files. \n* **Personalized Memory:**  We have personalized memory retainment of your editing history, editor state, and user activity. We designed an intelligent system that processes all this information in a low-latency manner and uses it naturally when answering the user’s queries.\n\n### **Watch MagiCode in action! 🤯**\n\nhttps://www.youtube.com/watch?v=EPM_eOL8BRE\n\n### **Our ask 🙏**\n\nWe are currently onboarding users for MagiCode. \n\n* If you’d love to try MagiCode, we are active on **Discord** and would be happy to help you onboard and answer any questions. You can join our discord here: https://discord.gg/tqveBrwd \n* If you know an engineer who is interested in trying out AI Coding tools, tell them about MagiCode! \n* You can also reach out to us directly at [hello@magicode.ai](mailto:hello@magicode.ai) to talk more about the future of AI-powered coding. Feel free to book a time with us here: https://www.magicode.ai/book-a-demo/ 😊\n\nLet’s build with Magic! ", "url": "https://www.ycombinator.com/launches/Lki-magicode-proactive-ai-pair-programmer", "votes": 23, "created_at": "2024-08-30T16:21:21.101Z" } ] }, { "id": 29779, "name": "The Forecasting Company", "slug": "the-forecasting-company", "former_names": [ "The Forecasting Co" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/53275d8cc1a5e29fff729e2218b324e461af730f.png", "website": "https://www.theforecastingcompany.com", "all_locations": "Paris, Île-de-France, France", "long_description": "The Forecasting Company builds planning systems based on our in-house foundation models for time series. 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PhD grad from UC Berkeley's BAIR. I spent time with Amazon Forecasting Science in SCOT, Google Brain, and Bloomberg LP where I worked on forecasting, optimization and deep learning research.", "is_active": true, "linkedin_url": "https://linkedin.com/in/geoffrey-negiar", "x_url": "https://twitter.com/geoffnegiar", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1405ba13745e1a927a3a148c06f19107b872b5cb.jpg" }, { "user_id": 1616813, "full_name": "Joachim Fainberg", "title": "Founder/CTO", "founder_bio": "PhD in ML for speech and full-stack developer. Interned at Sonos where I built an on-device wake word detector and at Bloomberg building a large ASR system. Worked full-time at JPMorgan in their Machine Learning Center of Excellence in New York, and then at two startups, team lead ML/NLP at Consigli, a prop-tech startup, and sr algorithm engineer and full-stack at Vind AI, a SaaS for designing off-shore wind parks.", "is_active": true, "linkedin_url": "https://linkedin.com/in/jfainberg", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7fb76b21ae218ae6c93172ecfc0f3ecbd719a095.jpg" } ], "jobs": [ { "id": 83099, "title": "Founding Machine Learning Engineer", "url": "https://www.ycombinator.com/companies/the-forecasting-company/jobs/cXJzAhA-founding-machine-learning-engineer", "location": "Paris, France", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "€80 - €130 EUR", "equity_range": "0.50% - 2.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Machine Learning" ] } ], "news": [], "launches": [ { "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)", "url": "https://www.ycombinator.com/launches/LUp-the-forecasting-company-foundation-models-for-time-series", "votes": 68, "created_at": "2024-08-01T14:17:31.991Z" } ] }, { "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, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/c115a800c2af840aa08ba6e64524a986c1be7240.png" ], "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" } ], "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" } ] }, { "id": 29833, "name": "Quetzal", "slug": "quetzal", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e2e0833dd48a420927a12b9525cc6f2b83f83211.png", "website": "https://getquetzal.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Quetzal is the first fully LLM-powered translation and internationalization suite, enabling companies to translate and internationalize their software and content instantly with minimal setup. We also handle all of your internationalization issues, from managing all of your stakeholders to bringing your product and marketing to market. No more waiting days or even weeks for translated content! Deliver a perfect experience to your users in any language, instantly.", "one_liner": "Simple, LLM-first translation and internationalization for software", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1721636551, "tags": [ "SaaS", "Enterprise Software", "International", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "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": null, "url": "https://www.ycombinator.com/companies/quetzal", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/quetzal.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/e2e0833dd48a420927a12b9525cc6f2b83f83211.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": 1755404, "full_name": "John Thompson", "title": "Founder/CEO", "founder_bio": "Former SWE at Slack, working to make software internationalization as easy and painless as possible", "is_active": true, "linkedin_url": "https://linkedin.com/in/jthompson4004", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bb21ed28a405ecb129ee836401762a08d152a51f.jpg" }, { "user_id": 1755481, "full_name": "Brendan Agliardo", "title": "Founder/CTO", "founder_bio": "Founder of Quetzal, former SWE at Mercatalyst, UMD CS dropout", "is_active": true, "linkedin_url": "N/A", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6ae3434594d775a0204b764e7210a15a7fef2212.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 82510, "title": "Quetzal 🦜 A modern internationalization platform", "tagline": "Say hello to Quetzal, your all-in-one solution for software internationalization", "body": "**_tl;dr_** - We’re the fastest and easiest way to solve all of your translation and internationalization issues in one platform.\n\nHello, Hola, Guten Tag, 你好, etc., to you all! We’re John and Brendan, the team creating [Quetzal](https://getquetzal.com/).\n\n![uploaded image](/media/?type=post&id=82510&key=user_uploads/1755404/113a9847-7718-45ff-9f1e-ac6df1d8d02f)\n\n**John** (on the left) worked for three years at Slack on the Slack Connect team, handling new features and requests from customers around the world. He saw firsthand the pain that bad and challenging translations and internationalization had for everyone at the company, from engineers, to CSMs, to PMs, to users.\n\n**Brendan** (on the right) worked for two years at Mercatalyst, a retail startup founded by the creator of Woot.com, which sold to Amazon in 2010. He worked extensively on the project bringing in in-house Spanish translation, and experienced the headache that this effort caused.\n\nTogether, they decided to bring outdated and broken internationalization software and approaches into the year 2024 with Quetzal.\n\n# **Why is the current approach to internationalization and translation broken? 🤕**\n\nIf you're just starting out going international with your product, it can be daunting to see exactly what you need to do. Translating your whole product takes time and perhaps maybe weeks or months of engineering effort, depending on what solution you go with. How do you deliver consistent and accurate translations with context about how your application works? Software translation mostly relies on engineers haphazardly providing text to an internationalization service, which then needs to translate on a string by string basis. This strategy loses important context and leads to poor quality, inconsistent translations, all while putting unnecessary work on engineers.\n\nIf your company already has a robust localization system, there's a whole host of other problems. You need to juggle the constant barrage of customer confusion, growth and change to your product and messaging, and external demands to adjust wording and phrasing, sometimes at the last second. Keeping up with all of that and making your language and messaging consistent with how your product works and what your intents are is super tough and puts unnecessary stress on your localization team.\n\nQuetzal aims to tackles these problems with a new modern internationalization solution that understands your specific goals with each localization problem you're trying to solve.\n\n# **Our ask to you, kind reader:**\n\n* If you’re trying to internationalize or have already done it but are experiencing pain in the process (or if you know someone that is!) please reach out to us at [john@getquetzal.com](mailto:john@getquetzal.com) or [brendan@getquetzal.com.](mailto:brendan@getquetzal.com)\n* Connect us with people on Internationalization and Localization teams within your network so we can see what their pain is.\n* **Share this post!** If you think what we’re doing is cool, share this post out to your network!\n* Or if you just want to practice a second language (we speak English, Spanish, Mandarin, and German between us), play chess, or just chat about internationalization, let us know!\n\n(Yes, we know that we used a parrot emoji in the title, please let us know when they add a real quetzal).\n\nThank you very much for reading,\n\nJohn Thompson & Brendan Agliardo", "url": "https://www.ycombinator.com/launches/LSo-quetzal-a-modern-internationalization-platform", "votes": 26, "created_at": "2024-07-29T02:06:55.041Z" } ] }, { "id": 29965, "name": "Formula Insight", "slug": "formula-insight", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0d24f87db5131a298b5fd35aba59870c07522d6f.png", "website": "https://www.formulainsight.io/", "all_locations": "New York City, NY, USA", "long_description": "Formula Insight offers Institutional Investors previously inaccessible data. We provide a central repository of financial models so investors can track changes to forecasts, quantify projection accuracy and expedite analysis. This further systematizes the investment process and enables better investment decisions.", "one_liner": "Help Institutional Investors manage, track & query their Excel models", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1721802502, "tags": [ "Fintech", "SaaS", "B2B", "Workflow Automation", "Enterprise Software" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "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/formula-insight", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/formula-insight.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/formula-insight/", "x_url": "https://x.com/FormulaInsight", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0d24f87db5131a298b5fd35aba59870c07522d6f.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": 2084024, "full_name": "Will Tong", "title": "Founder/CEO", "founder_bio": "Co-Founder and CEO of Formula Insight. Will brings a decade of financial expertise to the role. He spent the past 4 years in public equities investing, most recently managing a healthcare equities portfolio at Citadel. In 2022, Will distinguished himself as a top 5 equity analyst within Citadel's Global Equities division.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/will-tong-04046a162/", "x_url": "https://x.com/yingertong", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ea8aeb942c82947344c2ef87f60ddadcaab08f21.jpg" }, { "user_id": 550721, "full_name": "Stefan Raghavan", "title": "Founder/CTO", "founder_bio": "Co-Founder and CTO at Formula Insight. Background in building complex engineering systems, specializing in rockets and drones, most recently at SpaceX and Zero Aviation.\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stefan-raghavan-957204a1/", "x_url": "https://x.com/stefanraghavan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5a9fa9d5dddf245fe63fd1cc7a2ae1a6cadf6355.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85848, "title": "Formula Insight: An Equity Research Platform that Analyzes Complex Excel Models", "tagline": "Expedites research by providing analysis in minutes to help investors gain an edge in the public markets.", "body": "**tl;dr**\n\nAt Formula Insight, we’re launching our new equity research platform. It’s integrated with FactSet data and designed by a former Citadel investor and SpaceX engineer. Institutional investors use spreadsheets to manage billions of dollars for investments. However, key insights are lost when connecting the dots between complex Excel financial models with millions of cells and across hundreds of SEC filings, management transcripts, and research papers. \n\nFormula Insight expedites the research process by analyzing these critical documents in minutes to help investors gain an edge in the public markets.\n\n\n\n**The Problem**\n\nFinancial models in Excel are the backbone of every investment thesis. Still, the workflow between financial model analysis and other key research documents has been separate. Critical details are missed when drawing inferences between Excel data and paper documents, and the work to build the fact pattern for investment decisions is inefficient.\n\n**The Solution**\n\nUsers can accurately search through millions of cells and build the fact pattern within internal financial Excel models, all down to granular KPIs for custom benchmarking. They can also plot financial projections against consensus estimates and draw inferences across hundreds of documents, including transcripts and filings. All answers have source document references and are housed within a secure environment, ensuring that sensitive information remains protected.\n\nSign up [here](https://fwotrcm808u.typeform.com/to/cYqIrmWn) to get access.", "url": "https://www.ycombinator.com/launches/MKe-formula-insight-an-equity-research-platform-that-analyzes-complex-excel-models", "votes": 11, "created_at": "2024-11-28T16:30:35.284Z" } ] }, { "id": 29977, "name": "Merlin AI", "slug": "merlin-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b546cd339690195550c29da13ada87ec426a083a.png", "website": "https://www.merlinai.co", "all_locations": "Los Angeles, CA, USA", "long_description": "Merlin is an AI-powered ERP for construction companies. \r\n\r\nWe provide construction companies with a single, AI-powered platform to manage their entire business operations. Our platform unifies project management, materials management, finance, estimating, and CRM—traditionally scattered across multiple systems—into one cohesive solution. For the first time, construction firms can automate and oversee every aspect of their projects in a single, intuitive system. Today, construction companies pay for 8-17 different tools - that we eliminate the need for. \r\n\r\nWe reduce \r\n\r\n- Manual work by 60%\r\n- Cut software costs by $10,000 monthly\r\n- Complete projects 3x faster. \r\n\r\nWhy Now?\r\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.\r\n\r\nTeam:\r\nKS, a BITS Pilani grad and successful startup co-founder, and Ayantika, an IIT alumni and tech expert, bring extensive coding and product development expertise together bringing about over a decade of technical expertise. Sneha ( that’s me), 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.", "one_liner": "AI powered ERP for Construction", "team_size": 19, "industry": "B2B", "subindustry": "B2B", "launched_at": 1722038915, "tags": [ "SaaS", "Construction", "B2B", "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", "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/merlin-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/merlin-ai.json", "year_founded": 2024, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/merlin-ai-co/", "x_url": "", "fb_url": "https://www.facebook.com/profile.php?id=61561865691831", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b546cd339690195550c29da13ada87ec426a083a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/6f94df7012c7e711614f8e08a0b0907e885f9722.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 658785, "full_name": "Sneha Kumari", "title": "Founder", "founder_bio": "Construction and supply chain expert with 12+ years in prefab, modular, and manufacturing. Implemented multi-million dollar ERP systems and industry best practices across multiple firms and found myself incredibly frustrated and tired from the experience. Founded Merlin to create the ERP solution I always wished for - one that works for construction and manufacturing. Passionate about all things construction and circular economy.", "is_active": true, "linkedin_url": "https://linkedin.com/in/snehakumari", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d997582b9600ba5d1a1fc9e03ba670d2cc211994.jpg" }, { "user_id": 1523033, "full_name": "Ayantika Dey", "title": "Founder/CTO", "founder_bio": "IIT Computer Science grad. Early engineer at Rippling. Now tackling construction industry pain points head-on with Merlin.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ayantika-dey-b8155b76/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4c2a5a2d6fbe8c7087b803fc76d0bd7046546ed4.jpg" }, { "user_id": 417408, "full_name": "Kumar Siddhartha", "title": "Founder", "founder_bio": "CS grad from BITS Pilani. Spent the last 12 years writing code and building product at startups. 2nd engineer at Swiggy. Co-founded Index (https://getindex.co, acquired 2021). Tackling the ERP mess in US construction with Merlin.", "is_active": true, "linkedin_url": "https://linkedin.com/in/kumar-siddhartha-44847516", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2f632c31761a4ecaebf77caadbfc38b59f692de1.jpg" } ], "jobs": [ { "id": 77907, "title": "Product Engineer (Customer-Facing)", "url": "https://www.ycombinator.com/companies/merlin-ai/jobs/BIHU5Bd-product-engineer-customer-facing", "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "₹1.2M - ₹1.4M INR", "equity_range": "0.10% - 0.20%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 83343, "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\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" } ] }, { "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 & leaderboard: \\\nRead the deep-dive blog post: \\\nJoin the discussion on Hacker News: \\\nX: \\\nLinkedIn: \n\n### Backstory\n\nHey everyone! We’re the team behind Raycaster ().\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" } ] }, { "id": 30056, "name": "Keye", "slug": "keye", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/90506160477f970492b1093950c729f17eeb2192.png", "website": "https://www.keye.co", "all_locations": "New York City, NY, USA", "long_description": "\r\nKeye is an AI software that lets private equity firms do due diligence for acquisitions faster and more accurately. Our customers can evaluate 10x more deals and fund better companies which leads directly to better returns/more alpha.\r\n--\r\n\r\nOur system is the first of its kind to instantly generate complex, comprehensive data packs from raw data in any format, directly from the data room. This enables investors to gain an 80% understanding of a potential deal within moments, empowering them to say No to a deal earlier in the process and focus on high-potential opportunities. Traditionally, creating these detailed data packs—like cohort or retention analyses and customer roll-forwards—takes weeks, during which critical details may be overlooked, potentially costing funds millions in missed insights and poor decisions.\r\n--\r\n\r\nKeye combines cutting-edge AI with deep private equity expertise to deliver powerful, multi-layered insights that go far beyond the simple summarizers and search functions offered by other tools. Our platform dives deep into both quantitative and qualitative due diligence data, offering high-impact analytics crafted specifically for private equity workflows. This isn’t just automation—it’s a purpose-built solution that uncovers actionable insights, fueling smarter decisions and driving true alpha.\r\n\r\n", "one_liner": "The Smartest Private Equity Investor", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1731519331, "tags": [ "Finance", "Investing", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "Fintech" ], "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/keye", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/keye.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/keye", "x_url": "https://x.com/keye_co", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/keye", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/90506160477f970492b1093950c729f17eeb2192.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ced016780eb5803c13677820a3078d525c69942e.png" ], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 751995, "full_name": "Rohan Parikh", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO at Keye, Rohan has over 6+ yrs in investment banking, spanning front-office roles across IB and Global Markets. Within 5 years, he was promoted to Director, where he drove a 7x increase in deal flow and revenue. Previously, he worked as a management consultant with Accenture before transitioning to Standard & Poor’s credit division in finance. Rohan holds an MBA from Wharton, complemented by a technical background with a Master's in Financial Engg. & B.Eng degree", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/parikhrohan/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/53ce18fd6f09dfb172814725d53cdc8853ce2627.jpg" }, { "user_id": 1375999, "full_name": "Conor Brown", "title": "Founder", "founder_bio": "Conor is a Co-Founder and the Chief Operating Officer of Keye. Before co-founding Keye, Conor co-founded SecureFlow, a funds flow and deal insights platform for M&A, while earning an MBA from The Wharton School. He has also held key roles as an investor at Vista Equity Partners and an investment banker at Goldman Sachs. He attended Amherst College for his BA, where he also captained the hockey team.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/conor-brown-9a02849b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1800dcd48cec9f3d213e65648dc84d92af4d06e5.jpg" }, { "user_id": 1604741, "full_name": "Lalit Lal", "title": "Founder/CTO", "founder_bio": "Lalit is a Cofounder and CTO at Keye. By trade, Lalit is a seasoned software engineer with a over 7 years in industry experience leading and building SaaS products from the ground up. Working through 2 historical SaaS acquisitions as an early engineer and leading technical teams of various sizes, Lalit is comfortable across the stack (devops, frontend, backend, and ML). He comes from a background in Robotics (University of Waterloo) and Machine Learning (University of Toronto).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lalitlal", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fb691eb08480ccb79da6be8c993e6a4427229f70.jpg" } ], "jobs": [ { "id": 78376, "title": "Founding Private Equity Strategist ", "url": "https://www.ycombinator.com/companies/keye/jobs/OFbSYE1-founding-private-equity-strategist", "location": "New York, NY, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$150K - $250K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 86166, "title": "Software Engineer (Remote)", "url": "https://www.ycombinator.com/companies/keye/jobs/lXS5Goj-software-engineer-remote", "location": "New York, NY, US / Remote (US; CA; MX; BR)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $200K", "equity_range": "0.10% - 0.75%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "We Built the Diligence Platform We Wish We Had | Jul 29, 2025", "url": "https://www.keye.co/post/keye-we-built-the-diligence-platform-we-wish-we-had", "date": "Jul 30, 2025" } ], "launches": [ { "id": 85647, "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: \\\n[💼](https://keye.co%EF%BF%BC%F0%9F%92%BC) LinkedIn: \\\n[✍️](https://www.linkedin.com/company/keye%EF%BF%BC%E2%9C%8D%EF%B8%8F) Capital AI blog: \\\n[🐦](https://www.keye.co/blog%EF%BF%BC%F0%9F%90%A6) X: ", "url": "https://www.ycombinator.com/launches/MHP-keye-the-smartest-private-equity-analyst", "votes": 207, "created_at": "2024-11-18T16:45:28.631Z" } ] }, { "id": 30075, "name": "Tiny", "slug": "tiny", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bc7095317389a5c68c0c208c8ea8d41d1ba3ad7c.png", "website": "https://andtiny.com", "all_locations": "Singapore, Singapore; Remote", "long_description": "At Tiny, we’re building a new kind of ERP system for factories where AI agents automate repetitive workflows. Made for the four million factories still primarily relying on Excel. LLMs now unlock their troves of siloed unstructured data. We see a massive opportunity to build a compound startup and, beyond that, tap into network effects to unlock just-in-time manufacturing across entire supply chains.", "one_liner": "A new kind of ERP system for factories", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1731209249, "tags": [ "SaaS", "B2B", "Workflow Automation", "Manufacturing", "Enterprise Software" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B" ], "regions": [ "Singapore", "Southeast Asia", "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/tiny", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/tiny.json", "year_founded": 2024, "city": "Singapore", "country": "SG", "linkedin_url": "https://www.linkedin.com/company/and-tiny", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/tiny-6bbb", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bc7095317389a5c68c0c208c8ea8d41d1ba3ad7c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 2234606, "full_name": "Edward Zhang", "title": "Founder/CTO", "founder_bio": "Ed is the CTO and co-founder of Tiny. Previously, he led the scaling of Apple’s Services API gateway from the ground up. Before that, he was a full-stack engineer at SaaS companies such as Zenefits and Addepar. He holds a B.S. in Computer Science from Carnegie Mellon University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/edward-zhang-14685828/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fbc81ec23b4099b16cd6db20f3a70e20c67dea6e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85625, "title": "Tiny - Rippling for factories", "tagline": "A new kind of ERP system for factories.", "body": "# **TL;DR**\n\nAt [Tiny](https://andtiny.com/) we’re building a compound startup like [Rippling](https://www.rippling.com/) for factories. Our mission is to provide factories with a single, cohesive platform to track and manage the full lifecycle of a manufactured item across every department in their organization.\n\n\n\nWe’re already working with several factories in Indonesia, Vietnam, and India, focusing on suppliers in the automotive and electronics industries.\n\n# **The Problem**\n\nMany factories are trapped in a web of disjointed spreadsheets and partially integrated tools, requiring costly manual data re-entry at nearly every stage—unless they can afford to spend over $1M on an ERP solution like SAP. This fragmentation leads to poor visibility into true costs and inventory, resulting in over-ordering of materials and dead stock of manufactured goods.\n\n# **The Solution**\n\nTiny is a ground-up reimagination of cumbersome traditional ERP software. Factories now have an intuitive user experience that leverages live collaborative editing to get everyone working together seamlessly, with a workflow engine that assigns tasks to the right person at the right time. Furthermore, as we expand our platform, we plan to automate repetitive tasks, thereby reducing costs and unlocking valuable insights by unifying sales, procurement, and production processes—all within a single system.\n\nCurrently, we’ve started at the very beginning of the order lifecycle: the quotation process. Our first module empowers sales and engineering teams to respond to customer inquiries faster and more accurately. The foundation of this module—the workflow engine, the lightweight CRM, and the item library—are shared in the upcoming procurement and production modules, resulting in deep integration and a seamless experience for our customers.\n\nThe foundation we’ve built is a fully collaborative object graph with real-time computations, plus a truly novel form input framework including automatic object syncing and interactive audit logs, on top of durable workflow execution that enables us to customize workflows extremely efficiently. Thanks to this foundation, we are uniquely positioned to unlock never-before-seen, truly interactive collaboration with AI agents.\n\n# **About Us**\n\nWe’re [Louis](https://www.linkedin.com/in/ldevalliere) and [Ed](https://www.linkedin.com/in/edward-zhang-14685828/), co-founders who have known each other for over a decade. We were roommates in San Francisco and previously collaborated at Addepar, developing wealth management software, and at Zenefits, building benefits and payroll solutions. Before founding Tiny, Louis served as VP of Design at BitGo, and Ed led the scaling of Apple’s Services API gateway from the ground up.\n\n# **How You Can Help**\n\nWe’d love introductions to anyone connected with factories who might benefit from a more streamlined, cost-effective solution.\n\n![uploaded image](/media/?type=post&id=85625&key=user_uploads/89898/57d5d166-e0c1-4aa8-b796-927ab003ce9d)\n\n", "url": "https://www.ycombinator.com/launches/MH3-tiny-rippling-for-factories", "votes": 46, "created_at": "2024-11-17T19:31:27.657Z" } ] }, { "id": 30108, "name": "Struct", "slug": "struct-ai", "former_names": [ "Bramble", "Edgedive" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f292fd64c9e2943d040e390cd2700e19b243bb8c.png", "website": "https://struct.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Struct automatically sets up, manages, and triages alerts based on how your app is supposed to work in prod. Connect your coding agent to it to enable your software factory to fix prod on its own.\r\n\r\nOnboarding takes 5 minutes.\r\n", "one_liner": "Struct keeps prod running", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1727386579, "tags": [ "Developer Tools", "B2B", "DevOps", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/struct-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/struct-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/trystruct", "x_url": "https://x.com/trystruct", "fb_url": null, "cb_url": null, "github_url": "https://github.com/struct-dot-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f292fd64c9e2943d040e390cd2700e19b243bb8c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1655136, "full_name": "Nimesh Chakravarthi", "title": "Founder/CEO", "founder_bio": "Nimesh is a Co-Founder at Struct, building the new way to do oncall. He led the consumer messaging team at LinkedIn, where reduced messaging support volume by >80% by overhauling reliability & observability. He's an EECS Berkeley grad and a real estate agent.", "is_active": true, "linkedin_url": "https://linkedin.com/in/nimesh-chakravarthi-68238749", "x_url": "https://x.com/nimeshmc", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/889b5b0e370cd6d28b3c5d3373c2734925f4c0f0.jpg" }, { "user_id": 950535, "full_name": "Deepan Mehta", "title": "Founder", "founder_bio": "Deepan is building.\n\nPreviously he spent 4 years as a Sr. PM at LinkedIn, where he launched an AI-powered revamp of messaging, video posting, and messaging stories while driving 10s of millions in ARR. Before that, he launched LiveRamp's first self-serve distribution UXs and APIs. He graduated from Georgia Tech with a BS in computer science and is a Mexican Pizza enthusiast. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/deepanmehta", "x_url": "https://x.com/meksikanpijha", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1de2aedf852b59725f17ed62e7ba8db7f1eb39d3.jpg" } ], "jobs": [], "news": [ { "title": "AI agent platforms look to find their stride in 2025", "url": "https://www.housingwire.com/articles/ai-real-estate-agent-platforms-2025-realpha-homa-modern-realty-bramble/", "date": "Jan 23, 2025" } ], "launches": [ { "id": 98615, "title": "Struct: Automate your on-call runbook", "tagline": "Auto root-cause eng alerts by cross-referencing logs, metrics, and your code.", "body": "Hi - we’re Deepan and Nimesh, and we’re launching the on-call agent every team deserves. For free.\n\n**tl;dr:** Struct auto-generates impact summaries, root causes, and pattern analyses for every eng alert by cross-referencing your logs, metrics, traces, and code. Free to use, set up in 5 minutes, fully customizable.\n\nVideo: \n\n⚠️ **The Pain:**\n\nIf you’ve been on-call, you know the drill.\n\n* Alert fires\n* Open Datadog (or Grafana, or whatever)\n* Find spikes, note timestamp\n* Hunt for relevant logs\n* Grep through code to root cause\n* Rinse & repeat\n\nMeanwhile, your most senior engineers keep getting looped into every incident, noisy alerts never get tuned, context lives across multiple tools, and customer issues keep slipping through.\n\n❇️ **The Fix:**\n\nStruct is the fastest way to go from alert → root cause. It plugs into your existing stack and automates the investigation workflow your team already runs manually.\n\nWithin minutes of an alert firing, Struct:\n\n* Pulls relevant metrics, logs, traces, monitors, and code\n* Does a regression analysis and correlates anomalies and spikes\n* Replies with with a root cause, impact summary, and pattern analysis\n* Drafts a full incident report with dynamically generated charts, timelines, and commit histories\n\nDive deeper in Slack or our app. Or, handoff the full context to your favorite coding agent to ship a fix.\n\nTeams already use Struct to:\n\n* Ensure their on-call runbook is consistently run on every alert and issue\n* Query across all logs, metrics, traces, and incidents in one place\n* Give every engineer the context to handle on-call without looping in seniors\n* Delay heavy investments in centralized observability\n* Supercharge their fave coding agents with one-click context handoffs\n\n👨🏽‍💼 **Who It’s For:**\n\n* Founding engineers scaling from 1 → 10 → 50\n* Lean teams running serious infra without an SRE\n* Orgs investing heavily into AI dev workflows\n\n🙏🏽 **Our Ask: Try It Free**\n\n**Get started in 5 minutes at [struct.ai](http://struct.ai)** — start for free, no credit card required. See ROI before you commit\n\nOr:\n\n* Book a quick demo: [here](https://cal.com/deepanm/struct-demo)\n* Email us: [**founders@struct.ai**](mailto:founders@struct.ai)", "url": "https://www.ycombinator.com/launches/PeZ-struct-automate-your-on-call-runbook", "votes": 33, "created_at": "2026-03-09T16:09:43.354Z" }, { "id": 92145, "title": "Edgedive - understand what your customers are actually saying", "tagline": "Edgedive unifies scattered customer feedback and makes it actionable at scale", "body": "**tl;dr: Edgedive unifies scattered customer calls, messages, tickets, and CRM data, enabling deep insights, custom reports, and on-demand research**\n\n![uploaded image](/media/?type=post&id=92145&key=user_uploads/950535/39577381-65fc-4927-b42a-6057c595fd9b)\n\n**👀 [Book a 15 min demo call](https://cal.com/deepanm/edgedive-demo) to see it in action!**\n\n⚠️ **The Problem:**\n\nListening to your customers **is really hard at scale**.\n\n* Customer interactions (call transcripts, support tickets, messages, emails, etc.) are still siloed in separate tools and rarely linked to CRM data or eng tickets\n* PMs and others have to manually search through scattered data for relevant snippets, but they miss a lot\n* Answering a question like “which $10k+ ARR customers asked about MCP in the past quarter” is difficult and time-consuming\n* Monitoring real-time, qualitative reactions to a launch is challenging\n\n❇️ **The Solution:**\n\nEdgedive makes it incredibly simple to collect, tag, and synthesize **all incoming feedback from every channel** (linked to your CRM) so you can focus on building something people want.\n\n_After white-glove onboarding, our customers are using Edgedive to:_\n\n🔎 Answer **any** question about **anything** customers are saying\n\n![uploaded image](/media/?type=post&id=92145&key=user_uploads/950535/03c089aa-7043-42c9-84ce-a57b32d41abd)\n\n🎫 Tag tickets & quantify revenue impact - automatically\n\n![uploaded image](/media/?type=post&id=92145&key=user_uploads/950535/9232202c-e8c5-4d0f-9bd6-67c7cefd89d5)\n\n🗣️ Schedule custom voice of customer reports\n\n![uploaded image](/media/?type=post&id=92145&key=user_uploads/950535/d787a9b2-92eb-43f7-9314-34efcc5be748)\n\n💸 Identify gaps leading to churn or closed-lost deals\n\n🧪 Get a shortlist of good beta testers for features\n\n🤩 Monitor customer reactions to launches, live\n\n_…all in seconds, not days (or weeks)._\n\n👨🏽‍💼 **Our customers are:**\n\n* Customer-obsessed **Founders** or **Product, CS, & Ops leaders**\n* Teams trying to scale PM, CS, or Ops without scaling headcount\n* Organizations trying to launch or automate Voice of Customer programs\n\n🙏🏽 **Our Asks:**\n\n* **Book a [15 min call](https://cal.com/deepanm/edgedive-demo) or email us at [founders@edgedive.com](mailto:founders@edgedive.com)** if you fit any of the above profiles (or just want to see it in action)\n* **Know anyone that might be a good fit? [Intro us!](mailto:founders@edgedive.com)** First 5 intros receive their choice of (5) Taco Bell Crunchwrap Supremes 🌮 or (5) caffeinated beverages ☕ Act fast!\n* **Follow us or give a shoutout on [LinkedIn](https://www.linkedin.com/company/use-edgedive) or [X](https://x.com/edgedive/) to support!**\n\n🚀 **The Team:**\n\nDeepan (fmr Sr. PM, Georgia Tech) and Nimesh (fmr. Sr. EM, Berkeley) worked together for 4+ years at LinkedIn - some of our launches include the AI Focused Inbox, video posting, and stories, along with growth launches that drove $XXM in annual revenue. We’re building the solution we wish we had when we were trying to plan, build, and launch impactful products.\n\n![uploaded image](/media/?type=post&id=92145&key=user_uploads/950535/3e31334c-2af8-4696-939e-fee8a252c848)\n\n", "url": "https://www.ycombinator.com/launches/NyD-edgedive-understand-what-your-customers-are-actually-saying", "votes": 61, "created_at": "2025-07-14T22:31:50.649Z" }, { "id": 84508, "title": "Bramble: Buy any home, get $20k back!", "tagline": "Bramble is an AI-backed real estate brokerage that helps you buy a home end-to-end for a simple flat fee", "body": "**TL;DR:** Bramble is an AI-backed real estate brokerage that provides end-to-end homebuying services for one simple flat fee. Get instant help to set up tours, research homes, submit offers, and close confidently - with responsive support from an experienced agent whenever you need it.\n\nHey there! We’re [Nimesh](https://linkedin.com/in/nimesh-chakravarthi-68238749), [Deepan](https://linkedin.com/in/deepanmehta), and [Danny](https://www.linkedin.com/in/dannyighsu), co-founders of [Bramble](https://usebramble.com?utm_source=yc&utm_medium=post&utm_campaign=yc_launch).\n\n![uploaded image](/media/?type=post&id=84508&key=user_uploads/950535/673184b4-b4b3-4a72-bc11-fb7e3be1aa00)\n\n**The Problem: buying a home with an agent is often frustrating and expensive**\n\nToday, buyers already do a lot of work themselves to find and visit houses, but buyer agents continue to charge a very high fee (2-3% of a home’s price) for what’s often a frustrating and unresponsive experience. On top of that, the [2024 NAR settlement](https://blog.usebramble.com/post/how-nar-settlement-affects-home-buyers?utm_source=yc&utm_medium=post&utm_campaign=yc_launch) means that buyers are now fully exposed to that fee. As they look for cheaper alternatives, buyers are finding this means compromising on service or quality.\n\n![uploaded image](/media/?type=post&id=84508&key=user_uploads/950535/fd500ac9-92b1-4e2a-adbc-97087bfce021)\n\n**The Solution: buy any home with our AI-backed full-service broker for one flat fee**\n\nSchedule tours, analyze properties, draft offers, and close right on platform, with responsive, on-demand agent support whenever you need it — all for a simple flat fee. (The rest of the commission is rebated back to you.)\n\n[See how it works!](https://youtu.be/zFCG09fxJ_E)\n\nAI tools like instant disclosure analysis, comp reports, market analysis, and more, plus expert support from dedicated agents, mean Bramble buyers get the experience of a top-tier real estate agent without sky-high commissions. In California, the average homebuyer gets over $20k rebated at close! \n\n![uploaded image](/media/?type=post&id=84508&key=user_uploads/950535/6a601435-32ef-4366-a683-fa7a3b0e885c)\n\n**Asks:**\n\nWe’d love to talk to:\n\n* **Anyone looking to buy a home in CA in the next 6 months** - whether that’s you or anyone you know, we want to learn more.\n* Anyone who’s bought a home in the last year - we’d love to hear about your experience. We’ll even throw in a gift card of your choice!\n* Other founders/builders in the real estate tech space - let’s exchange notes.\n\nEmail us at [team@usebramble.com](mailto:team@usebramble.com) or grab time directly [here](https://calendar.app.google/ppD4aJz2hV2Mwv6T8)!", "url": "https://www.ycombinator.com/launches/Lz2-bramble-buy-any-home-get-20k-back", "votes": 62, "created_at": "2024-10-03T20:04:32.029Z" } ] }, { "id": 30115, "name": "Laminar", "slug": "laminar-com", "former_names": [ "SRE.ai", "sre.ai", "SRE.ai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fd1f2b79da0bdbfdd0ca1eda2e6a7f66a6dd2ae7.png", "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", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 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/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", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fd1f2b79da0bdbfdd0ca1eda2e6a7f66a6dd2ae7.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": 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" } ], "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": [] }, { "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": [] }, { "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", "skills": [] } ], "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\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" } ] }, { "id": 30212, "name": "superglue", "slug": "superglue", "former_names": [ "index commerce", "index labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0d8702327beeb6c4e9700c883d54481531ce4f3b.png", "website": "https://superglue.ai/", "all_locations": "BY, Germany", "long_description": "superglue learns how your systems work from your company's knowledge and performs the implementation that normally requires human coordination and engineering work.\r\n\r\nImplement NetSuite, Sage Intacct, SAP, Business Central or Acumatica in days. Agents map and migrate legacy data, configure the system, and keep data in sync post go-live.\r\nConnect ERP, CRM, databases, and internal systems to AI platforms like Claude. Create governed data access for AI agents and track data usage across your org.\r\nConnect customer systems, import historical data and get new integrations live in hours. Let agents manage the entire implementation process end-to-end.\r\n", "one_liner": "connect, migrate and implement enterprise systems", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1737761136, "tags": [ "Open Source", "API", "Enterprise", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 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, "question_answers": null, "url": "https://www.ycombinator.com/companies/superglue", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/superglue.json", "year_founded": 2024, "city": null, "country": "DE", "linkedin_url": "https://www.linkedin.com/company/superglue-ai/", "x_url": "https://x.com/superglue_d", "fb_url": null, "cb_url": null, "github_url": "https://github.com/superglue-ai/superglue", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0d8702327beeb6c4e9700c883d54481531ce4f3b.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": 1344607, "full_name": "Adina Goerres", "title": "Founder/CEO", "founder_bio": "Building superglue. Previously worked on GTM at Scalable Capital and commercial projects at Farfetch. \nMaster's from TUM and CDTM", "is_active": true, "linkedin_url": "https://linkedin.com/in/adinagoerres", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7932b8e0bb09ab91d8cc2fea13a8c28c8eaa1f0c.jpg" }, { "user_id": 2247582, "full_name": "Stefan Faistenauer", "title": "Founder/CTO", "founder_bio": "Building superglue, an open source tool to automate data transformation. Former Software engineer and Google APM with a master’s from Stanford.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stefan-faistenauer/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d0d1e1fd0231fdc4becb81cb5fe69f015e34c682.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87434, "title": "superglue 🍯 - Open Source Data Translation", "tagline": "Get data from any system in exactly the format you need.", "body": "**Tl;dr** [superglue](https://superglue.cloud/) translates data from any system into exactly the format you need. It’s an open source proxy that automatically extracts, maps and transforms data so developers don’t have to write and maintain complex integration code. \n\n**Other tools say \"Use our API\". superglue says \"Use any API, in any way you want\".**\n\n[Find us on GitHub.](https://github.com/superglue-ai/superglue)\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXejwKUtg5vNmIUFVD-naIZc3NVJVO4nIxzG1bVC5SkaA8g5JuhP7I9QWTBXPVCbKQdc6OY7bgFgVuJPf99JjYyBK3Y2TDpGG_ehUirAvBmANq8dkq9EpyY-72Dn56s6dW3LA6n82g?key=X6C0DCn4htyY5GQ3HDPmoqgF)\n\n# **Why it matters**\n\nMost companies struggle with data integration challenges daily. Energy providers pull meter readings from thousands of devices, fashion marketplaces standardize product data from various retailers, and fintech companies normalize transaction data across payment systems. Each system speaks its own language, forcing developers to write and maintain custom code to transform and normalize data. It's a massive waste of engineering resources and slows down business innovation.\n\n# **What we’re building**\n\n_superglue_ is an intelligent proxy server that automatically transforms data from external APIs into your desired format, eliminating the need for custom mapping code. By sitting between your application and APIs, it allows developers to define data structures once and apply consistent transformations across all integrations, turning complex data integration from a weeks-long project into a minutes-long configuration. The superglue proxy can sit outside your codebase - particularly good for legacy systems that are brittle and hard to change.\n\n**Key features**\n\n* **One-off LLM-powered translations**: Generate deterministic, high-performance translation code.\n* **Self-healing**: Detect format changes and update translations automatically\n* **Fast deployment**: Supports most APIs and data formats out of the box\n* **For enterprise**: Hosting, logging, retries, caches, access control\n\n## **Get Started**\n\n1. [Get access](https://superglue.cloud/) to our hosted version or install superglue as a lightweight local proxy\n2. Pick an API / data source to connect to\n3. Define your desired data output format\n\n![uploaded image](/media/?type=post&id=87434&key=user_uploads/1344607/34c24883-0af1-4dd0-89a7-4493b1913ddb)\n\n4. Let superglue handle transformations and schema enforcement\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfITHd_G-ZeA03HGoDOL8Oql_Jb4Pu50FWrLhRVldLEMgSyUN-cMsaY6T-Vx3xqEpyLz-6zWnejpU_1siA-1-LLX7okg-r2YqTaeDcU3xuAkAbgvGfWmVi4i-yyCVOuKaeQWGajlA?key=X6C0DCn4htyY5GQ3HDPmoqgF)\n\n\n\n**How is this different from connector platforms and unified APIs?**\n\nUnlike platforms that offer predefined APIs for specific verticals and require developers to adapt to their specifications, _superglue_ provides universal data transformation that works with any API or data source. We give developers complete flexibility to transform data however they want, without vendor lock-in. Where other platforms support a limited set of integrations, _superglue_ can transform data from literally any source - whether it's a well-known API or a custom internal system - putting developers in full control of their data pipelines.\n\n**What if I want to own the integrations I build?**\n\nYou totally can with _superglue_. As an open-source solution, we provide full transparency and the ability to modify transformation logic at any level, ensuring you're never trapped in a black box. Unlike closed integration platforms, you own 100% of the integration logic. You can host the entire solution on your own infrastructure, with full access to source code and transformation rules.\n\n# **Get superglued**\n\nAre you currently building integrations, onboarding customers via integrations or too strapped to integrate them? Email us at [founders@superglue.cloud](https://mailto:founders@superglue.cloud), we’re happy to help.\n\nHave you built data-heavy integrations in the past? We want to speak to you!\n\nOtherwise get started on [Github](https://github.com/superglue-ai/superglue) or [book a demo](https://cal.com/teamindex/superglue-demo).\n\n# **About us**\n\n[Stefan](https://www.linkedin.com/in/stefan-faistenauer/) and [Adina](https://www.linkedin.com/in/adinagoerres/) first met in 2019 while studying in Munich. Their shared experience in the integration space led them to superglue.\n\n![uploaded image](/media/?type=post&id=87434&key=user_uploads/1344607/b7871bfd-f80c-48d4-90fc-aa1cb4b170c9)\n\n", "url": "https://www.ycombinator.com/launches/MkE-superglue-open-source-data-translation", "votes": 35, "created_at": "2025-02-05T16:56:51.804Z" } ] }, { "id": 30322, "name": "Spott", "slug": "spott", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5f49530f7f80f640f3de8119e00764c7ea777491.png", "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": [ "SaaS", "B2B", "HR Tech", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Recruiting and Talent" ], "regions": [ "Belgium", "Europe" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "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", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5f49530f7f80f640f3de8119e00764c7ea777491.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": 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/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/db9217de51f42f1302f54fe35ad3d737c34bac93.jpg" }, { "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" } ], "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": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "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": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "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\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" } ] }, { "id": 30324, "name": "Rebolt", "slug": "rebolt", "former_names": [ "Tieki", "Redash" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1c24ec3a4e8dad0268813a9fa6aad15a4b1d9c34.png", "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": [ "Enterprise Software", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 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/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/", "x_url": "https://x.com/rebolthq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1c24ec3a4e8dad0268813a9fa6aad15a4b1d9c34.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": 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" } ], "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" } ] }, { "id": 30403, "name": "Aravolta", "slug": "aravolta", "former_names": [ "CentralAxis" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fef90b2fedf3b6bcd07d770648c6074b9717d2a0.png", "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. ", "one_liner": "Software to monitor, control, and optimize data centers.", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1746569409, "tags": [ "Enterprise Software", "Cloud Computing", "Monitoring" ], "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/aravolta", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/aravolta.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/centralaxis", "x_url": "https://x.com/CentralAxis_X25", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fef90b2fedf3b6bcd07d770648c6074b9717d2a0.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": 1833246, "full_name": "Margarita Groisman", "title": "Founder/CEO", "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/", "x_url": "https://x.com/Marg_Groisman", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5150584412ea3eb0182f8e63c266e0f281c95f7c.jpg" }, { "user_id": 2213346, "full_name": "Jack Sutton", "title": "Founder/CTO", "founder_bio": "Lifelong software engineer", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sutton-jack", "x_url": "https://x.com/JackSutton_SF", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8af4649e155b78aa37df060b30c652788ea65252.jpg" } ], "jobs": [ { "id": 76973, "title": "Senior Software Engineer", "url": "https://www.ycombinator.com/companies/aravolta/jobs/5mXBTwN-senior-software-engineer", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $200K", "equity_range": "0.40%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Bash/Shell", "Node.js", "PostgreSQL", "TypeScript", "Next.js", "Tailwind" ] }, { "id": 80505, "title": "Intern", "url": "https://www.ycombinator.com/companies/aravolta/jobs/xNqAuCd-intern", "location": "San Francisco, CA, US / Remote (US)", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$4K - $15K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Node.js", "React", "TypeScript" ] }, { "id": 92973, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/aravolta/jobs/F5owCzV-forward-deployed-engineer", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $240K", "equity_range": "0.25% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 111389, "title": "Sales Development Representative", "url": "https://www.ycombinator.com/companies/aravolta/jobs/ySYYxBA-sales-development-representative", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$80K - $200K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 30428, "name": "Capacitive", "slug": "capacitive", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/40c96e80ab5fc53e3ad2af87fa471c14586b633f.png", "website": "https://capacitive.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "We supercharge agents from Cursor to AgentKit with product and team-level context. 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Connect your platforms to us once, “chat” freely with your data, and automate workflows using only your words.\n\n[Launch Video](https://youtu.be/7d0EwiiHirQ)\n\n**🔋 Capacitive, the solution:** \n\nWork happens in what can feel like a million places — Slack, Confluence, Google Drive, HubSpot, Jira… you name it. Capacitive is a delightfully taut web platform that allows you to run work across all of those platforms and hundreds more, all from one place.\n\nConnect your platforms to us once and “chat” with your data freely… we make asking one-off questions like “what’s my monthly burn?” or performing tasks like “find all clients in my pipeline who haven’t created an account and follow up with them” brilliantly simple. And building lightweight agents for repetitive tasks happens with just a few sentences.\n\nWith granular tool filtering, robust role-based access controls, and airtight security permissioning, Capacitive allows knowledge workers and companies alike to turbocharge their operations using AI worry-free.\n\n🤝 **The Team**\n\nKevin and Rohan have known each other for five years, having attended the Phillips Exeter Academy and subsequently Yale together.\n\n🎯 **Asks**\n\nOur Public Beta is going live on May 30th. Visit [www.capacitive.ai](http://capacitive.ai) to get started today, for free!\n\n![uploaded image](/media/?type=post&id=90842&key=user_uploads/2250726/87ff870c-427a-4e35-a81d-cba6a09a323f)\n\n", "url": "https://www.ycombinator.com/launches/NdC-capacitive-ai-agent-building-for-knowledge-workers", "votes": 74, "created_at": "2025-05-29T01:05:31.981Z" } ] }, { "id": 30464, "name": "Sixtyfour", "slug": "sixtyfour", "former_names": [ "Sixtyfour", "Sixtyfour AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7a94c5b6ca35db4a8ecda083bd02671f8be5393f.png", "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, "tags": [ "B2B", "Enterprise Software", "Infrastructure", "AI" ], "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/sixtyfour", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/sixtyfour.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sixtyfourai", "x_url": "https://x.com/sixtyfourai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7a94c5b6ca35db4a8ecda083bd02671f8be5393f.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": 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, "linkedin_url": "https://linkedin.com/in/saarthshah", "x_url": "https://x.com/saarth_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ae314900a25755eb76714796bd4247b017213d5b.jpg" }, { "user_id": 937584, "full_name": "Christopher Price", "title": "Founder/COO", "founder_bio": "Cornell CS, AI CalHacks Winner, Prev @ Onyx (YC W24), Currently Building AI Agents for GTM", "is_active": true, "linkedin_url": "https://linkedin.com/in/christopher-price-59a24b178", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bdefc2881870b21c12576e33f1c4f91751a59ee6.jpg" } ], "jobs": [ { "id": 105487, "title": "Growth Intern - Fall 2026", "url": "https://www.ycombinator.com/companies/sixtyfour/jobs/lPEgSOT-growth-intern-fall-2026", "location": "San Francisco, CA, US", "type": "Internship", "role": "Marketing", "role_type": null, "salary_range": "$30 - $50 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 112379, "title": "Product Marketing Lead", "url": "https://www.ycombinator.com/companies/sixtyfour/jobs/WR7Fp66-product-marketing-lead", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$100K - $200K", "equity_range": "0.05% - 0.30%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "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\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 & 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 & 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 & 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\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" } ] }, { "id": 30507, "name": "ParaQuery", "slug": "paraquery", "former_names": [ "Hypermorphic" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/023b1fec88d11ac0cc00d33e137188a1088f80f1.png", "website": "https://paraquery.com", "all_locations": "New York City, NY, USA; Remote", "long_description": "ParaQuery is a fully-managed GPU-accelerated Spark solution providing double the performance at half the cost compared to solutions like Databricks and BigQuery. It is fully Spark-compatible, cloud agnostic, and has seamless integrations everywhere, all without vendor lock-in. ParaQuery makes it trivial to run large SQL and Spark workloads efficiently and serverlessly, without any data migrations.", "one_liner": "Managed GPU-accelerated Spark + SQL at 2x speed and half the cost", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1745603504, "tags": [ "Developer Tools", "Analytics", "Big Data", "Enterprise Software", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "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/paraquery", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/paraquery.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/paraquery", "x_url": "http://twitter.com/paraquery_", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/paraquery", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/023b1fec88d11ac0cc00d33e137188a1088f80f1.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": 1091672, "full_name": "Win Wang", "title": "Founder/CEO", "founder_bio": "Focused on efficiency, effectiveness, and (user) experience.\nPreviously a tech lead @ Twitter, building massively-parallel distributed build systems.\nNow building a cheaper, faster big data platform by using the right hardware for job. Fully-managed, GPU-accelerated, petabyte-scale at double the speed and half the cost.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/winwang", "x_url": "https://twitter.com/Winium", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3a5065a212f3a4dd12f6130ba83f67162fb66507.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90162, "title": "ParaQuery - 5x your data warehouse's efficiency", "tagline": "ParaQuery is the GPU-accelerated Spark + SQL engine for your big data needs.", "body": "![uploaded image](/media/?type=post&id=90162&key=user_uploads/1091672/94e086c6-918d-4975-94ca-5aece8bff85a)\n\nHey, I'm Win, founder of [ParaQuery](http://www.paraquery.com).\n\nWe're building a bigger query engine with up to 5x cost efficiency compared to BigQuery by using cost-efficient cloud GPUs.\n\n**Ask:** Do you know someone optimizing their data warehouse? Email [win@paraquery.com](mailto:win@paraquery.com) or sign up [here](https://paraquery.com/waitlist)!\n\n**4x'ing** BigQuery efficiency with ParaQuery:  \n\n# **The Problem**\n\nData is the new oil and you're feeding your products with a bunch of it. But to do so, you need to build, maintain, and optimize your data infra. That's either a huge timesink, or you're bleeding cash to ignore it, or someone is breathing down your neck about this month's cloud bill. Why can't we just ship features?\n\n![uploaded image](/media/?type=post&id=90162&key=user_uploads/1091672/419acb3d-1195-4842-a80e-df02ac0d332f)\n\nWhether it's those 20-minute+ Presto queries, or your exploding BigQuery bill (which happens to be tracked in real time), your data infra is letting you down.\n\n# **Our Solution**\n\nParaQuery runs on highly-parallel, throughput-optimized cloud-available hardware, perfect for data processing workloads: **GPUs**!\n\nOur system abstracts out the infra required to serverlessly accelerate your logic. With the extreme efficiency of GPUs, it's half the cost and double the performance of competing solutions like Databricks and BigQuery, without any platform commitments.\n\nFor SQL-based data warehouses like BigQuery, you can use ParaQuery with minimal changes to your queries. And since it's fully Spark-compatible, there's no vendor lock-in. It integrates with literally anything which has a Spark connector, on any major cloud. We can even deploy on GPU clouds.\n\nParaQuery makes data processing as simple as specifying:\n\n1. Inputs\n2. Output\n3. Logic\n4. Run!\n\n![uploaded image](/media/?type=post&id=90162&key=user_uploads/1091672/a6cded39-2da7-432b-9129-014a593caaae)\n\n# **Why?**\n\nI've been looking into GPUs and parallel programming for over 12 years – starting out with crypto. I left that field pretty fast, but I never stopped thinking about efficient compute and GPU acceleration. Even more so when, years later, I had to wait for my laptop to finish 18-hour physics simulations. And during my professional career, I've also had to wait on my fair share of 20-minute+ analytical queries.\n\nIn fact, I hate waiting. ParaQuery is productizing an arbitrage of hardware efficiency, and I'm not waiting any longer to do so.\n\n# **Ask**\n\n1\\. If you know anyone who is running any big data processing scenarios (including MLOps), I'd love to learn more about their use case and see if we're a fit! \n\n2\\. If you want to try it out, sign up for our waitlist at [www.paraquery.com](http://www.paraquery.com), or just email me ([win@paraquery.com](mailto:win@paraquery.com))", "url": "https://www.ycombinator.com/launches/NSE-paraquery-5x-your-data-warehouse-s-efficiency", "votes": 51, "created_at": "2025-05-07T02:14:51.329Z" } ] }, { "id": 30527, "name": "MindFort", "slug": "mindfort", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/67f8fa73a583138ab0060e99d6a10e8341a0d040.png", "website": "https://mindfort.ai/?utm_source=ycombinator&utm_medium=referral&utm_campaign=yc", "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", "one_liner": "Autonomous Security Agents", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1747245373, "tags": [ "Developer Tools", "Cybersecurity", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "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/mindfort", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/mindfort.json", "year_founded": 2025, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/106469568/", "x_url": "https://x.com/mindfort_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/mindfort-ai", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/67f8fa73a583138ab0060e99d6a10e8341a0d040.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": 525065, "full_name": "Brandon Veiseh", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of MindFort AI. Previous founder, product leader in AI and Security.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/brandon-veiseh-77762113a/", "x_url": "https://twitter.com/bveiseh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6adfd0bc0deb384b42ebb12dc0a50a3df70f67ac.jpg" }, { "user_id": 1327738, "full_name": "Akul Gupta", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO of MindFort.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/akulguptax/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c33e727522c067e9599fb5756c86eb381545c180.jpg" } ], "jobs": [ { "id": 84795, "title": "Software Engineer ", "url": "https://www.ycombinator.com/companies/mindfort/jobs/g3aPQUZ-software-engineer", "location": "Los Angeles, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$150K - $250K", "equity_range": "0.20% - 0.50%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 95701, "title": "AI Researcher", "url": "https://www.ycombinator.com/companies/mindfort/jobs/HV2EzUk-ai-researcher", "location": "Los Angeles, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$150K - $250K", "equity_range": "0.20% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "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)", "url": "https://www.ycombinator.com/launches/NYZ-mindfort-ai-fully-autonomous-security-agents", "votes": 62, "created_at": "2025-05-20T14:20:43.961Z" } ] }, { "id": 30529, "name": "Adentris", "slug": "adentris", "former_names": [ "Wrkdn", "Work Done (WRKDN)", "Wrkdn", "WorkDone", "WorkDone Health" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/299342dc68e4bc077a079313853d9982af12d81d.png", "website": "https://www.adentris.com", "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, "tags": [ "Health Tech", "B2B", "Compliance", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "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": true, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/adentris", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/adentris.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/adentris", "x_url": "https://x.com/adentris_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/adentris", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/299342dc68e4bc077a079313853d9982af12d81d.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/71/1749668852-05937d8d75ff250a7e1f4d32510d1be8/82817e6eb1b4d4ddacffa47b2931bd7b.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022728Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=967e8bf9e64c758ef4e8787f971bba85552cca09ee6459561d6da1c2b6a9a531", "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 379085, "full_name": "Dmitry Karpov", "title": "Founder/CEO", "founder_bio": "Founder WorkDone, we find and fix mistakes in medical documentation before they become problems for insurance claims or patient lawsuits ", "is_active": true, "linkedin_url": "https://linkedin.com/in/dmitrykarpov", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5dac25fdca1d006fc4383abd3d0be2e7b0e93190.jpg" }, { "user_id": 2641787, "full_name": "Alex Odin", "title": "Founder/CTO", "founder_bio": "3x Founder. Now building Adentris — AI for healthcare operations. Launched 4 weeks ago, already at $55K ARR from 3 clinics, with $500K ARR pilots in progress.\n\nPreviously led AI at ManyChat ($140M+ ARR), founded Skipp (scaled to $7M ARR, raised $2.8M), and built Lingualeo (20M+ users).\n\nDeep product, AI, and GTM focus — from 0 to 10x.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/odinalex/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e5ded716aa3adaf221c5f12f78c99e3797ef9798.jpg" }, { "user_id": 405697, "full_name": "Sergey Yudovskiy", "title": "Founder/CPO", "founder_bio": "2x YC Founder. Building Adentris to bring AI-driven systems into healthcare operations - a personal mission inspired by the legacy of my fully medical family. As a mathematician, I bring a data-driven, systems approach to product development and GTM strategy.\n\nPreviously, I led ElectroNeek (W20) as CEO, scaling it to ~$5M ARR. Built a global B2B distribution and partnership network across 30+ countries (North & South America, Europe, Asia), and disrupted the RPA market with a novel GTM playbook.", "is_active": true, "linkedin_url": "https://linkedin.com/in/yudovskiy", "x_url": "https://twitter.com/SergeyYudovskiy", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7da84bfdf132133d48f3c0f5b778cfd2c6a6a515.jpg" } ], "jobs": [ { "id": 106477, "title": "Director of Product, RCM Services, Healthcare", "url": "https://www.ycombinator.com/companies/adentris/jobs/z2nYYnN-director-of-product-rcm-services-healthcare", "location": "Austin, TX, US / Denver, CO, US / Phoenix, AZ, US / Reno, NV, US / Los Angeles, CA, US", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$150K - $200K", "equity_range": "0.50% - 2.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "\n Adentris Completes Major AI Compliance Deployment at Sobrius, Putting Over 100 Active SUD Patients Under Review\n \n", "url": "https://www.einpresswire.com/article/913893048/adentris-completes-major-ai-compliance-deployment-at-sobrius-putting-over-100-active-sud-patients-under-review", "date": "May 20, 2026" }, { "title": "\n Adentris Expands AI Platform with Five New Modules Covering the Full Revenue Integrity and Compliance Workflow\n \n", "url": "https://www.einpresswire.com/article/913896386/adentris-expands-ai-platform-with-five-new-modules-covering-the-full-revenue-integrity-and-compliance-workflow", "date": "May 20, 2026" }, { "title": "\n Adentris Selected for Creative Destruction Lab Computational Health Program to Scale AI-Driven Compliance in Healthcare\n \n", "url": "https://www.einpresswire.com/article/860152482/adentris-selected-for-creative-destruction-lab-computational-health-program-to-scale-ai-driven-compliance-in-healthcare", "date": "Oct 21, 2025" }, { "title": "\n WorkDone Health Rebrands as Adentris and Launches Acute Care Solution for Real-Time Quality and Compliance Monitoring\n \n", "url": "https://www.einpresswire.com/article/850341659/workdone-health-rebrands-as-adentris-and-launches-acute-care-solution-for-real-time-quality-and-compliance-monitoring", "date": "Sep 18, 2025" } ], "launches": [ { "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.", "url": "https://www.ycombinator.com/launches/NSr-adentris-ai-compliance-autopilot-for-hospitals-and-clinics", "votes": 345, "created_at": "2025-05-08T14:04:33.170Z" } ] }, { "id": 30530, "name": "Rimba", "slug": "rimba", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b68af887ba539134268ac073e1a367094447c416.png", "website": "https://rimba.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Rimba integrates fragmented data — PDFs, Excel files, time-series, IoT sensors, equipment telemetry, and system performance data — to complete a workflow, such as populating a database, running analytics, and creating a report. \r\n\r\nOur software streamlines the entire journey from data capture to report creation for the physical world, starting with heavy industries such as renewables, oil & gas, supply chain, and chemicals. \r\n\r\nLegacy systems don't communicate, and critical operational data remains siloed. Rimba bridges that gap by connecting data from fragmented systems and structures — ERPs, SCADA, SharePoint, email, and more — to automate workflows, classify inputs, transform data, and improve data monitoring.", "one_liner": "Streamlining Data Capture to Report Creation for Heavy Industries", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Climate", "launched_at": 1744344066, "tags": [ "SaaS", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Climate" ], "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/rimba", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/rimba.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rimba-compliance-automation/", "x_url": "https://x.com/Rimba_AI", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/rimba", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b68af887ba539134268ac073e1a367094447c416.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": 1078902, "full_name": "Timothy Daniel", "title": "Founder/CEO", "founder_bio": "Ex-head of compliance and ex-legal counsel overseeing reporting and audit for energy & mining supply chains.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/timothydaniel09", "x_url": "https://x.com/tdanielh?s=11", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/58033eb6990a003a9c0e4c398eb2e3703b73df38.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90502, "title": "Rimba - AI for Energy & Industrial Compliance", "tagline": "We monitor energy facilities and turns messy operational data—no matter the format—into clean, validated compliance reports.", "body": "Hey everyone, we’re Tim and Akshay – cofounders of **Rimba** 👋\n\n**TL;DR**\\\nAI, transportation, electricity... All run on massive amounts of energy, and America is running heading to an energy crisis. It’s incredibly difficult to build or operate energy projects, and REGULATORY COMPLIANCE requirements made it even harder. Energy companies are slapped with $$$ tens of millions in penalties while buried in a mountain of spreadsheets, PDFs, and forms to stay compliant.\n\nWe’re building **Rimba** to fix that.\n\n**\\*\\*Ask:\\*\\*\\\nKnow someone or work in energy (mom, dad, aunt, grandpa)? Introduce us [timothy@rimba.ai](mailto:timothy@rimba.ai) or send them our [LinkedIn Launch](https://www.linkedin.com/posts/y-combinator_rimba-yc-x25-is-ai-for-energy-industrial-activity-7329943880416612352-aryT?utm_source=share&utm_medium=member_desktop&rcm=ACoAABs6HnMB3XNRo_a9KqN2METPAum-VybW7UA).**\n\nhttps://www.youtube.com/watch?v=MoNWA6gVa6Y\n\n## **❌ The Problem**\n\n## Compliance today is manual, error-prone, and incredibly expensive. From low carbon fuel reports, like\n\n**LCFS, RFS,** to air permits, from tax credit filings to prevailing wage documentation, and more.\\\nA look at the numbers:\n\n* $23B+ is spent annually on energy compliance in the U.S.\n* $2B+ in annual fines\n* Not to mention the missed incentive and tax credit revenue. Plus 1,000s of hours lost spent on copy-pasting values across spreadsheets, data cleaning, and filings.\n\nAnd yet—there are **no modern tools** built for how energy producers actually operate: across spreadsheets, legacy software, and passing data back-and-forth.\n\n## **💡 Our Solution:**\n\n## **One Platform for Energy & Industrial Compliance Automation**\n\n## **Rimba** is building the compliance operating system for the industrial sector.\n\n1. We monitor and extract operational data from **any source**—ERP Data, meter data, PDF—and turn it into **clean, structured, and report-ready data**.\n2. Verify data and reports for regulations, such as:\n\n* LCFS / RFS / Air Permits\n* Prevailing Wage\n* Sustainability Certification\n\n1. Catch issues early and avoid mistakes that lead to costly penalties\n\nhttps://www.youtube.com/watch?v=Ph3RtlbTy64\n\n## **✅ The Result**\n\n* **Millions avoided in fines**\n* **80% reduction** in time and resources on monitoring, data cleaning, and reporting.\n* **Reduction of risk through visibility**\n\n\\\n**🚀 The Team**\\\nBoth Tim and Akshay worked in regulatory compliance, and bonded together through the struggle and their love for burgers.\n\n[Follow Rimba on LinkedIn](https://www.linkedin.com/company/rimba-compliance-automation/about/)\n\n* Tim (CEO) was formerly Head of Compliance and Legal Counsel at a mining and energy company. He spent years navigating a maze of regulations, environmental certification, and audit prep across spreadsheets, PDFs, and on-the-ground operational data. He didn’t just witness the problem. He lived it.\n* Akshay (CTO) was an AI Engineer at Klarity (W18) where he focused on transforming unstructured documents into structured data, streamlining compliance processes for finance and accounting teams. His experience includes building high-reliability systems at Goldman Sachs and Adobe; now he’s applying them to energy compliance.\\\n \\\n 📩 Email us at [**timothy@rimba.ai**](mailto:timothy@rimba.ai)\n\n![uploaded image](/media/?type=post&id=90502&key=user_uploads/1078902/1bb07ce5-734a-42ad-90fb-6be5bd95609d)\n\n", "url": "https://www.ycombinator.com/launches/NXi-rimba-ai-for-energy-industrial-compliance", "votes": 142, "created_at": "2025-05-18T18:38:55.898Z" } ] }, { "id": 30562, "name": "Docket", "slug": "docket", "former_names": [ "Sonata", "Docket", "docket" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aa849f70a991d46ed789deab2ddee170d952bc14.png", "website": "https://docketqa.com", "all_locations": "San Francisco, CA, USA", "long_description": "Docket lets you write end-to-end tests in plain English and keeps them up to date automatically—powered by real user sessions.", "one_liner": "AI agents for web testing", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1747107485, "tags": [ "Developer Tools", "B2B", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "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/docket", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/docket.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/docketqa/about/?viewAsMember=true", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/aa849f70a991d46ed789deab2ddee170d952bc14.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": 296302, "full_name": "Nishant Hooda", "title": "Founder/CTO", "founder_bio": "Building the future of software testing. Ex-engineer at Stripe and Brex.", "is_active": true, "linkedin_url": "https://linkedin.com/in/nishant-h", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3cd2ead24601c780249584d0f3e1cf73a183d5fb.jpg" }, { "user_id": 598746, "full_name": "Boris Skurikhin", "title": "Founder/CTO", "founder_bio": "Building the future of software testing. Previously Quant Dev at Citadel & SWE at Patreon.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/boris-skurikhin/", "x_url": "https://x.com/boriskurikhin", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a55827be18754fc911c791dcc0e34af0ce668e9f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90473, "title": "Docket – AI agents for QA testing", "tagline": "Docket lets you test your website in plain English, and automatically keeps tests up to date", "body": "**TL;DR**\n\n**Docket lets you write tests in plain English. Then we keep those tests in sync with how users actually interact with your product — no more flaky selectors or stale test scripts.**\n\n---\n\n### **The Problem**\n\nE2E tests are a _pain_ to write — and an even bigger pain to maintain.\n\n* Writing Cypress or Playwright tests is time-consuming and brittle\n* Even no-code tools require manually defining flows or relying on flaky CSS selectors\n* Every UI change risks breaking your suite, forcing teams to either spend hours fixing tests or just give up and test manually\n\nMost teams hit the same tradeoff: **move fast and break things** — or slow down to ensure quality.\n\n### **Our Solution**\n\nDocket lets you:\n\n* Write tests in plain English (\"Log in, Search for Y Combinator t shirt, Add 2 shirts to cart\")\n* Skip the brittle selectors — we use multimodal agents that interact with the page like humans\n* Automatically keep tests up to date with real user session data\n\n---\n\n![uploaded image](/media/?type=post&id=90473&key=user_uploads/296302/5977d1c3-f564-4d67-b623-319bb6252efd)\n\n### **Meet the Team**\n\nWe’re **Nishant** and **Boris** — two engineers who dreaded writing tests so much, we started a company to fix it.\n\nWe met while working at **AWS**, and between us, we’ve built and shipped products at **Stripe, Citadel, Brex, and Patreon**. But testing was always the drag. Writing tests took forever. Keeping them working was even worse. We constantly felt the pain of choosing between moving fast and having confidence in our code.\n\nSo we’re building the tool we wish we had: **Docket** — tests in plain English that stay up to date, without the maintenance burden.\n\n![uploaded image](/media/?type=post&id=90473&key=user_uploads/296302/f2b9cf37-f50c-4c40-8ca9-6a43d5069a0b)\n\n---\n\n### **Launch Offer**\n\nAs part of our launch, we’re offering **free complete test suite implementations** for our next 10 customers. Book a demo [here](https://calendly.com/nishant-docket/docket-intro-meeting)!\n\n\\\n— Nishant & Boris\n\n![uploaded image](/media/?type=post&id=90473&key=user_uploads/296302/c4bc7ae4-7794-4316-9dce-883ce72a97fc)\n\n", "url": "https://www.ycombinator.com/launches/NXF-docket-ai-agents-for-qa-testing", "votes": 142, "created_at": "2025-05-16T16:59:32.208Z" } ] }, { "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", "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": 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" }, { "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/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6d48636a05ad637f49098c12abee3f0706b5ab03.jpg" } ], "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": [] } ], "news": [], "launches": [] }, { "id": 30628, "name": "Datafruit", "slug": "datafruit", "former_names": [ "Lychee", "DataFruit", "datafruit", "Datafruit", "datafruit" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a591148ecee7a3124b7a64758f3eee4d11b56efd.png", "website": "https://datafruit.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Datafruit helps enterprise delivery teams understand their customers deeply and deliver more profitably. We build AI agents capture every conversation, structure scope from day one, and use past projects to make every engagement sharper.", "one_liner": "The AI workspace for software implementations", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1755048308, "tags": [ "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "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/datafruit", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/datafruit.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/datafruitai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a591148ecee7a3124b7a64758f3eee4d11b56efd.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/c5e78d9f47ebcda5c95ad8ab3a5f771574f927e2.png" ], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 1865998, "full_name": "Venkat Arun", "title": "Founder/CEO", "founder_bio": "cofounder at datafruit; previously cs and statistics at uc berkeley; worked on cloud infrastructure and data pipelines at various early stage startups.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/venkat-arun-22677b223/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/53a572207d7ecc0535bc3195cec6f9676097287f.jpg" }, { "user_id": 2225888, "full_name": "Nick Papciak", "title": "Founder/CTO", "founder_bio": "Co-founder of datafruit — AI for software implementation. Previously worked at Meta. Studied machine learning and theoretical computer science at Georgia Tech, where I was the head TA for algorithms. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nickpapciak", "x_url": "https://x.com/completely_np", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/50081edd7a9701c0053421c77433c2e54f0836e4.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30647, "name": "Cyberdesk", "slug": "cyberdesk", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b6deea0aa4e96211ac35f75ade0705df19758a8e.png", "website": "https://www.cyberdesk.io", "all_locations": "San Francisco, CA, USA", "long_description": "Cyberdesk is the first self learning computer use agent for developers to automate desktop workflows. \r\n\r\nFor example, one of our customers is building an AI agent for hospital patient intake, and they’re using us to automate an entire team of people manually clicking and typing into a desktop app to book appointments. \r\n\r\nWe launched mid July, and our agent is already operating in production environments, creating appointments in electronic health record apps and processing files in legacy ERPs.\r\n\r\nWe’ve built the first computer use agent that memorizes tasks and repeats them quickly while still adapting to unexpected changes on the screen. A good analogy is to how humans use computers: once we get used to an app, we use it much faster, while still adapting to random popups and crashes. This new paradigm for computer use will be needed by every company automating human workflows on computers.\r\n\r\nMahmoud previously built robotic process automation solutions impacting 20K+ employees at a Fortune 100 company. He also built AI & ML solutions at Baylor College of Medicine Neuroscience & Texas Children's Hospital + co-published a paper at the Rice Networks Group. \r\n\r\nAlan is ex-NASA and previously dropped out to be the first founding engineer at a PearX startup. He is a second time founder, having previously built and scaled a consumer AI app to thousands of paying users.\r\n\r\nComputer-use agents will automate the $6T dollars spent on enterprise knowledge work and Cyberdesk will be the platform to power this.\r\n\r\nWe’d love to talk with you!\r\nhttps://cal.com/mahmoud-al-madi-klrs5s/30min", "one_liner": "Self learning computer use agent for developers", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1749659433, "tags": [ "Developer Tools", "Robotic Process Automation", "Workflow Automation", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "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": [ { "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 2 years ago, connecting over our shared experiences at Rice, and our love of building things. We both ended up living at the same Hacker House in Menlo Park, called Incepto! We started Cyberdesk with the realization that it’s really hard to build a great computer use agent, especially when it comes to reliability, speed, and cost. We both lived in a 9×9 Airbnb room with a tiny bed and a single desk (we call it the Cyberdesk lol) and got Cyberdesk off the ground, building the MVP in a 6 days and getting a paid customer the next day through a cold email. \\\r\n\\\r\nCyberdesk was built to solve all three of the core problems with off the shelf computer use models: speed, reliability, and cost. We’re excited to deploy this architecture to the world and become the best developer framework for computer use." }, { "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 working together, we knew we wanted to go through YC together. It was a little over a month before the deadline for Summer 2025 came out when we started working together, so we got to work! We launched, got paid customers, and built out our infrastructure fast. A month later, we interviewed in person and got the call from Jon Xu the same night that we got in! It was one of the happiest days of our lives." }, { "question": "What's the history of your company from getting started until the present day? What were the big inflection points?", "answer": "We started working together in late March (2025), with a shared goal of solving deep developer problems around computer use. We started off with an idea to help developers spin up virtual desktops for computer use agents in a single line of code. We shipped an MVP in 5 days and got a paid customer the next day through a cold email. For the next month, we kept shipping and looking for customers, and applied to YC with this idea. We found the product had interest from hobbyist developers, but for companies, there was much less pull because companies often already have VM infrastructure they are happy with. \\\r\n\\\r\nSo we made the call to pivot. We talked to over 100 developers in the computer use and robotic process automation space, and heard the same thing over and over: automating Windows desktops is an important yet extremely tedious process. You create a script once, then it breaks every time something changes in the app or a popup happens. Computer use agents were meant to solve that pain but even they were slow, costly, and non deterministic. That’s how we came up with the idea for what Cyberdesk is today - a layer on top of computer use agents that helps it memorize tasks it’s done before and repeat it consistently, 3 - 5x faster, and cheaply, while still falling back to computer use during popups and anomalies. We built an MVP in a week, and got our first pilot a week later. \\\r\n\\\r\nSince then we’ve been rapidly building out the product and closing more deals with startups and companies in healthcare, construction, accounting, and more, all of them using our agent to automate manual computer work they’ve struggled to automate before. " }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "For a developer team to automate legacy desktop apps with poor APIs, they’ve often resorted to building brittle automation scripts (either in Python or using a legacy RPA tool like UiPath) or hiring unreliable remote workers to click on remote desktops. As they need to support more and more software and versions of that software, the development and maintenance times exponentially increases. \\\r\n\\\r\nEvery company in the world has repetitive manual desktop work that is bogging them down. On top of that, companies building AI agents are increasingly having to interface with desktop apps to perform full human workflows. This problem is pervasive and we’re excited to solve it." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "Traditional robotic process automation is a $6 billion industry, yet it only services a tiny fraction of desktop tasks that can now be automated by our agent. In the long term, our agent will automate every manual computer task." } ], "url": "https://www.ycombinator.com/companies/cyberdesk", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/cyberdesk.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cyberdeskhq", "x_url": "https://x.com/CyberdeskHQ", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/cyberdesk-9e2a", "github_url": "https://github.com/cyberdesk-hq/cyberdesk", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b6deea0aa4e96211ac35f75ade0705df19758a8e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f97e92ea8e68598a95edd550d0062da113b863a0.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/afa862d3c6811c2f8fa968b87c2ce6d4508a98df.png" ], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 1707002, "full_name": "Mahmoud Al-Madi", "title": "Founder/CEO", "founder_bio": "Mahmoud graduated from Rice University with a degree in Electrical Engineering where he built AI & ML solutions at Baylor College of Medicine Neuroscience & Texas Children's Hospital + co-published a paper at the Rice Networks Group.\n\nAfter Rice, Mahmoud built RPA solutions impacting 20K+ employees at a Fortune 100 company, which inspired him to cofound Cyberdesk to build a computer use agent developers can use to automate desktop workflows.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mahmoudalmadi/", "x_url": "https://x.com/mahmoudalmadi_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/61b7bae3551c4559b2db78736f13d61532e2c0b0.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 92540, "title": "Cyberdesk - The computer use agent for developers to automate legacy Windows apps", "tagline": "Automate legacy apps like EHRs, ERPs, and more with just a prompt and an API call to our agent", "body": "Hey everyone! We’re Mahmoud and Alan, co-founders of Cyberdesk.\n\n**🏆 TL;DR:**\n\nWe’re building a computer use agent for developers to automate legacy Windows apps like EHRs, ERPs, and more. Just write your task in plain English, and call our API to trigger our agent. Our agent is designed to follow memorized steps reliably, only falling back to computer use models during expected popups.\n\nhttps://www.youtube.com/watch?v=yCDGsiCNb3E\n\n**❌ The Problem**\n\nDevelopers in industries like healthcare, supply chain, and beyond often work with clients who have old, legacy Windows software. Today, to work with these clients, they probably:\n\n* Hire unreliable offshore teams to manually click through remote desktops\n* Write fragile automation scripts that break on popups and need constant fixes\n* Skip the integration entirely—leaving valuable customers behind\n\n**✨ Our Solution**\n\nJust write your task in plain English, and our computer use agent will run it reliably, cheap, and fast, on any Windows PC (cloud or on prem).\n\nExample: entering patient data into OpenDental, a legacy dental EHR (real use case from one of our customers)\n\n1. **Write the task** (”Log in to Opendental, click Patients, find this dropdown, etc”), then just call our API to trigger the workflow\n2. **Our agent learns the task.** Every time it repeats the task, it does it 100% deterministically, upwards of 3x faster, and almost zero cost\n3. **If something unexpected happens** (like a popup), our system falls back to the computer use agent, and memorizes that trajectory too\n\n![uploaded image](/media/?type=post&id=92540&key=user_uploads/1707002/d09c26db-4734-4c16-8324-e5e0657e6512)\n\n**💯 The Team**\n\nMahmoud (CEO) previously scaled robotic process automation solutions to 20k employees at a Fortune 100. Alan (CTO) is ex-NASA and built a computer use agent at his previous startup.\n\n**Book a demo with us, or intro us to AI companies in regulated industries who need to integrate into legacy desktop apps!**\n\n* Book demo: https://cal.com/mahmoud-al-madi-klrs5s/30min\n* Our website: https://cyberdesk.io\n* Email us: mahmoud \\[at\\] cyberdesk \\[dot\\] io\n\n![uploaded image](/media/?type=post&id=92540&key=user_uploads/1707002/ca98113f-44e9-44ce-ab9b-20e5ea40354a)\n\n", "url": "https://www.ycombinator.com/launches/O4a-cyberdesk-the-computer-use-agent-for-developers-to-automate-legacy-windows-apps", "votes": 34, "created_at": "2025-07-29T15:47:24.669Z" } ] }, { "id": 30665, "name": "Pangolin", "slug": "pangolin", "former_names": [ "Fossorial" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1ddd59479807f1000294d305ca0a4a84f2d40f97.png", "website": "https://pangolin.net", "all_locations": "New York City, NY, USA", "long_description": "Pangolin delivers seamless access and connectivity across your apps, infrastructure, and AI workloads while continuously enforcing enterprise-grade security. Built for agile IT teams, Pangolin eliminates the friction of bloated, legacy systems with an open platform that’s easier to deploy for your workforce.\r\n\r\nIt's open-source.", "one_liner": "Open networking and security for your workforce, AI agents, and infra", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1752801073, "tags": [ "Security", "Open Source", "Enterprise Software", "Networks" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2025", "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/pangolin", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/pangolin.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/digpangolin", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/fosrl/pangolin", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1ddd59479807f1000294d305ca0a4a84f2d40f97.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": 2927524, "full_name": "Milo Schwartz", "title": "Founder", "founder_bio": "I am the co-founder of Pangolin. Previously, I worked as a founding engineer on intelligent transportation systems and connectivity and monitoring solutions for public works infrastructure.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/miloaschwartz/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cfe74fdf761f037c3a9639a4dab56e35fef407f6.jpg" }, { "user_id": 2804733, "full_name": "Owen Schwartz", "title": "Founder", "founder_bio": "I am the co-founder and CTO of Pangolin, an open source zero trust networking and infrastructure company. Before this, I worked as a founding engineer for 4 years on intelligent transportation systems and connectivity and monitoring solutions for public works. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/owenschwartz", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b2677e06efbf7db88c5738433369649c53316dc8.jpg" } ], "jobs": [ { "id": 82887, "title": "Founding Engineer - Full Stack", "url": "https://www.ycombinator.com/companies/pangolin/jobs/7DeBchl-founding-engineer-full-stack", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$125K - $150K", "equity_range": "0.50% - 1.25%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Android", "Express", "Git", "Go", "iOS", "Kubernetes", "PostgreSQL", "TypeScript", "Docker", "Next.js" ] } ], "news": [], "launches": [ { "id": 92267, "title": "Pangolin – Open-source secure gateway to private networks", "tagline": "Pangolin tunnels your services to the internet so you can access anything from anywhere.", "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)", "url": "https://www.ycombinator.com/launches/O0B-pangolin-open-source-secure-gateway-to-private-networks", "votes": 85, "created_at": "2025-07-18T07:08:50.979Z" } ] }, { "id": 30669, "name": "Slashy", "slug": "slashy", "former_names": [ "Dash" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e6667cfdd83f59c43fda8940767ec6748fe44b96.png", "website": "https://www.slashy.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Slashy is an AI-native email client for founders and operators. It drafts replies in your voice from your sent mail, triages your inbox, tracks follow-ups, keeps your calendar in the inbox, and can be run from iMessage, Slack, or an AI agent through its MCP server. Slashy works with Gmail, Google Workspace, Outlook.com, and Microsoft 365, on web, Mac, and iOS.", "one_liner": "Cursor for Email", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1750786342, "tags": [ "Productivity", "Enterprise Software", "Automation", "Email", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B", "Productivity" ], "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/slashy", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/slashy.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/slashy-email/", "x_url": "https://x.com/slashyemail", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e6667cfdd83f59c43fda8940767ec6748fe44b96.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": 2067448, "full_name": "Harsha Gaddipati", "title": "Founder/CEO", "founder_bio": "Changing email with Slashy :) \n\nSign up at slashy.com", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/harsha-gaddipati-032bb820a/", "x_url": "https://x.com/GaddipatiHarsha", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/92acbfaee472f1cb2f0391cce84807835e411573.jpg" }, { "user_id": 1584972, "full_name": "Dhruv Roongta", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO of Slashy, the AI-native email client. Studied Computer Science at Georgia Tech; previously interned at Groq, Pulse (S24), and Greptile (W24), and won prizes at CalHacks and HackMIT.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dhruv-roongta-421a7b214/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f726696878d0aea7136b4e35aa639a734d81387c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 108791, "title": "Slashy - start saving 2 hours a day on email", "tagline": "Slashy drafts replies in your voice, schedules meetings, and handles follow ups, so you spend less time managing email, and more time on what matters", "body": "Hey everyone we’re Harsha and Dhruv from Slashy. Our goal is to define the next generation of email, by building an email platform that actually works for you, and learns over time. \\\n\\\n**TLDR:** Slashy is the next big email platform after Superhuman, the first with an assistant built in. Slashy can do everything from writing drafts in your tone, texting you when an important email comes in, prepping you for calls, to the things you expect from a true email client like keyboard shortcuts, open tracking, a mobile app and more. All while continuously learning about you and your preferences, so it only gets better over time. The average user takes 5 minutes to get set up and saves an extra hour a day. Read an independent review from Tom’s guide (1m+ subscribers) [here](https://www.tomsguide.com/ai/slashy-is-the-ai-email-app-replacing-notion-mail-heres-why).\n\nYou can get started for free at [slashy.com](http://slashy.com), and use our YC deal for a long-term discount.\n\n**Launch Video:** \n\n## **Problem**\n\nMost founders we speak to, have one of two problems (sometimes both)\n\n1. They spend too much time manually handling email, and not enough building their company.\n2. They don’t spend enough time on email, and lose important deals/hires due to things slipping.\n\n## **Solution**\n\nThat’s why we built Slashy, the first email platform that reliably gets work done for you, whether it be drafting emails, notifying you when a prospect replies, schedule meetings, or more. Slashy works wherever you work best, so onboarding is seamless (just ask some of our users). It takes 10 minutes to set up, and saves the average email power user an extra one hour a day. It does this by:\n\n1. **Doing all the basic things right:** Stuff like keyboard shortcuts, open tracking, unified inbox, team comments, availability links, all come part of Slashy. So you don’t lose anything transitioning from Gmail, Superhuman, Front and more. ([@Jayme Hoffman](https://bookface.ycombinator.com/user/60463) actually switched to Slashy being surprised just that a new email client could match the speed, shortcuts of something like Superhuman)\n2. **Writing drafts that sound like you:** Claude drafts sound like slop because they just look at the thread. Slashy does a lot more, it looks at the linkedin/web of recipients, past emails you’ve sent, past changes you’ve made to prior drafts, and more including using our own custom-built memory system for email. (Fun fact we have a special tool for handling suggesting times/scheduling as base llms are very bad at this). ([@Michelle Marcelline](https://bookface.ycombinator.com/user/379052) pretty much just hits send on all her Slashy drafts with minimal edits)\n3. **A powerful sidebar:** Slashy comes with a cursor-like sidebar. That lets you do things like search, draft, schedule and more. So you no longer need to keep flipping between ChatGPT and your email. ([@Yahia Bakour](https://bookface.ycombinator.com/user/2538368) loves this to power thorugh drafts and replies)\n4. **Integrations:** Slashy connects to not just your email, but your meeting notes (Granola, Fathom, Circleback, etc.), crm (Attio, Hubspot, Salesforce, etc.), Notion and more since the context to handle email isn’t just in email. ([@Pavlos Markesinis](https://bookface.ycombinator.com/user/2511438) loves how Slashy connects to his Attio and makes life simple)\n5. **Automations:** The best assistants also know when to handle things in the background. So Slashy can also automatically do things like prep you for calls, text you when an important email comes in, and more. ([@Owen Botkin](https://bookface.ycombinator.com/user/2579867) relies on Slashy to prep him from calls, and [@Pranav Madhukar](https://bookface.ycombinator.com/user/1531197) doesn’t even check his email anymore unless Slashy alerts him an email comes in)\n6. **iMessage/Slack Bot:** One of the worst parts of traditional clients? You need to open them to see if something important comes in. Slashy can ping you on text/slack so you don’t even need to context switch. (@devansh is one of our bigger Slack fans, while [@Abhinav Gopal](https://bookface.ycombinator.com/user/979064) for iMessage).\n7. **Voice:** Sometimes it’s easier to speak your mind than write (or you’re driving and just can’t haha). So Slashy lets you dictate your thoughts, and our AI will make it sound like a much better version of you. Or you can talk with our voice to voice agent when you’re commuting (@vishruth is one of our power users for our voice drafts).\n8. **Personalized Memory:** Slashy gets better the more you use it. It keeps notes on how you write, who you talk to, when you schedule, and also it learns from every edit you made before hitting send. It even once a week goes back and rewrites its notes to better match you. After all you'd expect a human assistant to be smarter after a few months, why not your ai one. ([@Devraj Gopal](https://bookface.ycombinator.com/user/2057015) loves how Slashy has grown to know him more and more).\n9. **Natural Language Labels:** A common complaint we hear is the rise of the AI SDR, and how everyone’s inbox is inundated with emails. The problem with traditional labelling systems is they don’t adjust over time, leading to important emails getting missed. Slashy’s labelling system does, leading to a much better filtering rate, and fewer dropped balls. ([@Nazli Danis](https://bookface.ycombinator.com/user/520906) was drowning in spam before Slashy)\n\n## Security and Privacy\n\nWe take security/privacy as an email client very seriously.  We’ve already gotten CASA, and SOC II. We also get monthly pen-tests done by [@Casco](https://bookface.ycombinator.com/company/30477) to ensure our users' data is safe. None of our AI providers train on your data as well.\n\n## Getting Started\n\nNow if you want to get started just go to[ slashy.com](http://slashy.com), or you can book a time here if you’d like me to demo the product/ask any questions just shoot an email to [founders+ea@slashy.com](mailto:founders+ea@slashy.com), and Slashy will schedule a time that works for both of us :)", "url": "https://www.ycombinator.com/launches/SIh-slashy-start-saving-2-hours-a-day-on-email", "votes": 33, "created_at": "2026-08-03T03:07:19.686Z" }, { "id": 92851, "title": "Slashy: The AI for Work", "tagline": "Slashy is the AI assistant that slashes through repetitive work", "body": "Slashy is the AI assistant that slashes through repetitive work: meeting prep for sales, automatic JIRA ticket creation, updating your CRM, and more.\n\nWe built Slashy after watching brilliant people waste hours every day on tasks that should be automated. They weren't trying to build another AI tool, they wanted to build the AI that makes all your other tools finally work together.\n\nSlashy gets users 10+ hours back every week to focus on the work that actually matters.\\\n\\\nBook a meeting: https://cal.com/slashy/30min or try it out at [slashy.ai](http://slashy.ai)\\\n\\\nhttps://youtu.be/F5ptH79YvNM", "url": "https://www.ycombinator.com/launches/O9b-slashy-the-ai-for-work", "votes": 27, "created_at": "2025-08-08T20:59:23.348Z" }, { "id": 91949, "title": "Dash: AI That Actually Gets Work Done", "tagline": "Meet Dash: An AI agent that connects to your Gmail, Slack, Notion, and more to complete work autonomously.", "body": "**We built an AI agent that connects to your Gmail, Slack, Notion, and more to complete work autonomously.**\n\n# [usedash.ai](http://usedash.ai) | [founders@usedash.ai](mailto:founders@usedash.ai)\n\n## The Problem\n\nKnowledge workers spend 90% of their time on manual, repetitive tasks that could be automated. Current AI tools like ChatGPT operate in isolation; they can't update Notion databases, search across Slack, or send emails.\n\n## Our Solution\n\nDash is an AI agent that connects to your tools (Gmail, Slack, Notion, Linear, Google Docs, HubSpot, calendar, and more) to complete entire tasks.\n\nhttps://youtu.be/kFPAxXAUlq8\n\n## Real Examples from Beta Users\n\n**\"Weekly team update\"**\n\n* Reads Slack channels for key discussions\n* Checks Linear tickets for sprint progress\n* Pulls metrics from HubSpot and Notion\n* Compiles and emails formatted report\n\n**\"New enterprise lead follow-up\"**\n\n* Adds leads to Hubspot with enriched data\n* Creates qualification tasks in Linear\n* Schedules follow-up calls in calendar\n* Notifies team in Slack with context\n\n**\"Daily standup agenda\"**\n\n* Pulls yesterday's completed Linear tickets and today's planned work for team members\n* Generates standup summary in Notion\n\n## We're Looking For\n\n**Know someone who is tired of switching between tools instead of making a real impact?**\n\nWe're perfect for folks who are tired of context-switching between Notion, Slack, emails, docs and more.\n\nPerfect for:\n\n* **Founders** \n* **PMs** \n* **Operations folks**\n\n**Try it for free:** [usedash.ai](http://usedash.ai)\n\n![uploaded image](/media/?type=post&id=91949&key=user_uploads/2067448/a58c2bd9-c956-48b3-a2e3-632b5cfbc418)\n\n", "url": "https://www.ycombinator.com/launches/Nv3-dash-ai-that-actually-gets-work-done", "votes": 83, "created_at": "2025-07-08T06:16:45.784Z" } ] }, { "id": 30680, "name": "Riverbank", "slug": "riverbank", "former_names": [ "Riverbank Labs", "Riverbank", "Riverbank Security" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/907a43235986d6f57ceffcf97d5210b7d662533b.png", "website": "https://www.riverbank.sh/", "all_locations": "Boston, MA, USA", "long_description": "Riverbank is an infrastructure cartography company. We map system topology, dependencies, interfaces, and reachable pathways across heterogeneous environments.", "one_liner": "Infrastructure Cartography", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1754465108, "tags": [ "IoT Security", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "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/riverbank", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/riverbank.json", "year_founded": 2025, "city": "Boston", "country": "US", "linkedin_url": "https://www.linkedin.com/company/riverbanktech/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/907a43235986d6f57ceffcf97d5210b7d662533b.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": 1953894, "full_name": "Carter Pry", "title": "Founder/CTO", "founder_bio": " ", "is_active": true, "linkedin_url": "https://linkedin.com/in/carterpry", "x_url": "https://x.com/carterpry", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/57ab48707b2028e69a6b17f273b15cec0efd53b1.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30687, "name": "Trace", "slug": "trace-so", "former_names": [ "Trace AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c08d892e148caaaf2ce4e85ef39beddd97353a8.png", "website": "https://www.trace.so/", "all_locations": "London, England, United Kingdom", "long_description": "Trace is a workflow orchestration platform that gives agents shared context across systems and lets teams build visual processes combining AI and humans. It automatically identifies which tasks can be AI-automated and which need human input, so non-technical teams build and run workflows without engineering involvement.", "one_liner": "Context-aware orchestration between humans and AI.", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1754919932, "tags": [ "SaaS", "B2B", "Productivity", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B", "Productivity" ], "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/trace-so", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/trace-so.json", "year_founded": 2025, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/trace-so/", "x_url": "https://x.com/trace_so", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c08d892e148caaaf2ce4e85ef39beddd97353a8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 1016719, "full_name": "Tim Cherkasov", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of Trace. Former product manager at Copper, a digital asset custodian, where he delivered an institutional offering for State Street. Fintech background across hedge funds and scaleups as a data scientist. Built startups since 17 in retail tech, travel, and web3.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/timcherkasov", "x_url": "https://x.com/timcherkasov", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/44c6b4427ed9b36aafd3d7aa691f504dec9e921f.jpg" }, { "user_id": 1620833, "full_name": "Artur Romanov", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO of Trace. Former senior engineer at Deliveroo who built the grocery data-enrichment ML pipeline (millions of items, thousands of retailers). Multi-time founder; led backends in logistics and finance, and deployed workflow automation across engineering and ops.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/artur-romanov", "x_url": "https://x.com/K1ngArtes", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f53f493a8993cf308d79af67cdb1fee7ba9dac4d.jpg" } ], "jobs": [], "news": [ { "title": "Trace raises $3M to solve the AI agent adoption problem in enterprise | TechCrunch", "url": "https://techcrunch.com/2026/02/26/trace-raises-3-million-to-solve-the-agent-adoption-problem/", "date": "Feb 25, 2026" } ], "launches": [ { "id": 92892, "title": "Trace 👾 Route repetitive tasks to AI agents", "tagline": "Trace helps teams map existing workflows and automate repetitive tasks using AI agents", "body": "Hey everyone 👋\n\nWe’re [Tim](https://www.linkedin.com/in/timcherkasov/) and [Artur](https://www.linkedin.com/in/artur-romanov/) – co-founders of [Trace](https://www.trace.so/).\n\n**📙 TL;DR**\n\nTrace is a workflow automation platform that routes tasks to the right agent – human or AI.\n\nBy connecting to tools like Slack, Jira, and Notion, Trace breaks down existing workflows, spots automation opportunities, and embeds AI agents to handle repetitive tasks – without disrupting how your team works. More than 30 companies already use Trace to automate gruntwork.\n\n**Ask**: If you’re currently working in operations, product, or support teams, we’d love to talk. Email us at [founders@trace.so](mailto:founders@trace.so) ‼️\n\nhttps://youtu.be/RfJerH9r2-8\n\n**❌ The Problem**\n\nMost teams lose ≈ 40% of their productivity on repetitive manual tasks. \n\nRoutine work like chasing updates, filling docs, coordinating teams, and handling support drains hours, breaks focus, and slows execution.\n\nMeanwhile, employees aren’t sure which tasks can be automated, which agents to use, or which tools to trust – problems made worse by fragmented data and lost context.\n\nEven worse, most AI tools work alone, disconnected from both teams and the people using them.\n\n✅ **Our Solution** \n\nTrace is an AI-native workspace that breaks down existing workflows, assigns repetitive tasks to AI agents, and routes the rest to the right people.\n\nWith Trace, AI works across your entire team – passing tasks between agents and people without disrupting operations.\n\nIt respects permissions, learns from past and ongoing work, tracks progress with a full audit trail, and lets you review, edit, or reroute tasks in a simple interface.\n\n**Connect and Prompt Away**\n\n![uploaded image](/media/?type=post&id=92892&key=user_uploads/1016719/794551f2-0e27-4ccf-a406-326622b90d15)\n\n**Create, Curate and Replicate**\n\n![uploaded image](/media/?type=post&id=92892&key=user_uploads/1016719/75f7fd26-b38a-4420-b7dc-1a7fe5bea7e6)\n\n**Route and Execute**\n\n![uploaded image](/media/?type=post&id=92892&key=user_uploads/1016719/4490fdd4-1ff7-47dc-887b-cab413a3b51c)\n\n**🦄 How It Works**\n\nHow? – Through a company wide context engine!\n\nBy integrating with your systems, our context engine analyzes your internal wiki, activity logs, and people data to understand your team’s work.\n\nTrace then builds a unified index of your company and provides rich context for every new workflow, making it easy to route tasks between people and AI agents.\n\nWe’re on a mission to build CompanyOS – a cognitive layer that ingests internal signals and drives intelligent action across every team.\n\n**🙏 Our Ask**\n\nReady to ditch the busywork? – Please try [demo.trace.so](http://demo.trace.so) for free and tell us which workflows you’ve tried to automate.\n\nIf your team is suffering from repetitive manual workflows, or you work in operations, product, or support roles, we’d love to talk.\n\nEmail us [📨 founders@trace.so](mailto:%F0%9F%93%A8founders@trace.so) or [book a call](https://calendly.com/trace_so/20min) ☎️\n\n**👥 The Team**\n\nTim and Artur met at university and have worked together on countless projects, papers and startups over the last 10 years.\n\nTim (CEO) – Former product manager at Copper, a digital asset custodian, where he delivered an institutional offering for State Street. Fintech background across hedge funds and scaleups as a data scientist. Built startups since 17 in retail tech, travel, and web3.\n\nArtur (CTO) – Former senior engineer at Deliveroo who built the grocery data-enrichment ML pipeline (millions of items, thousands of retailers). Multi-time founder; led backends in logistics and finance, and deployed workflow automation across engineering and ops.\n\n![uploaded image](/media/?type=post&id=92892&key=user_uploads/1016719/b774ddc3-03f9-4008-b443-bef97237826e)\n\nps: Thank you for taking the time to read this and show your support ❤️\n\n![uploaded image](/media/?type=post&id=92892&key=user_uploads/1016719/457742b1-bb72-48ff-9d4c-029b6bc8b033)\n\n", "url": "https://www.ycombinator.com/launches/OAG-trace-route-repetitive-tasks-to-ai-agents", "votes": 1038, "created_at": "2025-08-11T19:45:04.234Z" } ] }, { "id": 30720, "name": "Autosana", "slug": "autosana", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5c7dda83aa113d5017c2cb187435ccccb356bd6a.png", "website": "https://autosana.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Autosana is the end-to-end testing layer for your coding agents, across iOS, Android, and Web apps.\r\n\r\nStep away from your laptop. Come back to full-stack features built and tested end-to-end, production ready.\r\n\r\nAutosana creates, updates, and runs tests automatically from your code diffs. Locally, it loops with your coding agent until every test passes. In PRs, it loops with cloud agents and shows video proof of your new feature or bug fix working end-to-end.\r\n\r\nNo setup, no maintenance, just tests evolving with your codebase. Ship with confidence.", "one_liner": "AI agents for E2E testing across mobile & web", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1751416575, "tags": [ "Developer Tools", "B2B", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "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/autosana", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/autosana.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/autosana/", "x_url": "https://x.com/autosanaai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/autosana", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5c7dda83aa113d5017c2cb187435ccccb356bd6a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4dc6458135f7441d899916ffc7de13b7663dc0b6.png" ], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 1097474, "full_name": "Yuvan Sundrani", "title": "Founder/CEO", "founder_bio": "Lifetime builder. \nHuge superhero fan, started with builds ranging from co2-powered web-shooters to wrist-mounted flamethrowers.\nCo-founded a contact sharing app in 2020. Engineer #1 to CPO at martech startup (~7 fig ARR). Engineer #1 at AI-therapy startup.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yuvan-sundrani/", "x_url": "https://x.com/YSundrani79540", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/af4f532a5f0f722ad68b16cc54c824938e57bee3.jpg" }, { "user_id": 1097137, "full_name": "Jason Steinberg", "title": "Founder", "founder_bio": "Co-Founder @ Autosana\nPlayed club hockey at the University of Maryland. Worked on the founding team of multiple mobile-first startups and wore many hats. Went on a two-month bike trip across America after graduation, and now making mobile QA a heck of a lot easier.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jason-steinberg-6018261b6/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/254bd31ab6d07bc741353a9b74ea77d95aacdc15.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 100020, "title": "Autosana 2.0: The E2E validation layer for mobile & web apps", "tagline": "Close the E2E testing and QA loop with your coding agents across iOS, Android, and web apps", "body": "Coding tools have 10x’d not only dev speed, but also the surface area for bugs. The bottleneck has shifted to validating that features and fixes _actually_ work. \n\nYour team is probably spending hours doing at least one of these things:\n\n* Manually testing for regressions\n* Writing and maintaining brittle E2E test scripts\n* Saying “f\\*ck it, ship it,” way too often\n\nAll while still having users complain about bugs that slip into prod…\n\n“Can’t my coding agent just write my E2E tests for me?”\n\nSure - but now you’re stuck maintaining them as your app evolves - broken selectors, missing element IDs, new user journeys, non-deterministic environments, evolving infra requirements…\n\nNot to mention the cases that are nearly impossible to test with scripts in the first place: Apple Pay, in-app browser flows, complex swipes, drag-and-drop, magic links, OAuth, cross-app auth, etc…\n\nThis is why we built **Autosana** - **the agentic E2E testing layer to close the loop with your coding agents.** Fully vision based, testing your app like humans would. \n\n* Get onboarded seamlessly via our [MCP](https://docs.autosana.ai/mcp-setup)\n* Runs locally and in our cloud for multi-env testing\n* Code review + E2E testing in your PR with video proof\n* Tests evolving with your codebase, creating & running tests based on PR context and code diffs\n* Works across iOS, Android, mobile web, and desktop web\n\n[**\\[demo\\]**](https://youtu.be/DcCf6Knt5LY)\n\nGet started today @ [autosana.ai](https://autosana.ai)", "url": "https://www.ycombinator.com/launches/Q1E-autosana-2-0-the-e2e-validation-layer-for-mobile-web-apps", "votes": 9, "created_at": "2026-04-21T23:31:01.594Z" }, { "id": 91958, "title": "Autosana - AI QA Agent for Mobile Apps", "tagline": "Autosana catches bugs in iOS and Android apps before users do.", "body": "Hey guys!\n\nWe’re Uv and Jason from Autosana 🌊\n\nWe’re building a QA agent that tests mobile apps like a real user. We’re on a mission to make flaky selector-based test scripts (or worse, manual regression testing) things of the past.\n\n[Demo here :)](https://www.youtube.com/watch?v=zsY22nvcVLU)\n\n# **TL;DR**\n\n* Cloud-hosted mobile QA agent (iOS and Android)\n* Natural language → simulated user flows\n* Integrates into CI/CD\n* Saves 8+ eng. hours per deployment\n\n# **Problem**\n\n**Dev Tools Have Evolved — QA Tools Haven’t**\n\nTools like Cursor and Claude Code boost dev speed by 10x, but lack the runtime context to write E2E tests, especially for complex and non-deterministic flows.\n\n**The QA Bottleneck**\n\nMaintaining traditional end-to-end scripts using frameworks like Appium, Espresso, and XCUITest wastes valuable engineering resources (trust us, we’ve been there).\n\nThese tests are tedious to write, brittle, and routinely break with UI changes. Many mobile teams ($100B+ companies included) have abandoned them and rely on manual QA.\n\n# **Solution**\n\nWe started Autosana to fix the QA bottleneck and help mobile teams ship faster without fear of breaking things.\n\nJust describe your test flows with natural language, as if you’re talking to your own **in-house QA Engineer**. No code, no infra setup, no dependence on flaky element selectors, and no more manual work.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcjScvXfMAllmoIBOAw31yGfHnfgGPt1V2yHBXQfJBTgIg-hFIAaTelmPZb0FJTtGFKjQd8PY-Ia55kJPaoYXTRneqpG3mgKr5bvV3dvZnvPxxdrVW2S2WqHsfzq8RiEToivqsjlg?key=-q2ZKYYIwen11jHmsUW6pg)\n\nOur agent tests your app like a real user, as **part of your CI/CD** pipeline or on a schedule, and **reports to the team when bugs are found**.\n\nAutosana supports both iOS and Android, and is framework-agnostic (we support React Native, Flutter, Swift, Kotlin, you name it…).\n\n**Mobile QA shouldn’t be hard. We’re on a mission to fix the bottleneck between mobile development and testing.**\n\nHave a bug-free day (or many bug-free days, with Autosana <3)\n\n[autosana.ai](http://autosana.ai)\n\n![uploaded image](/media/?type=post&id=91958&key=user_uploads/1097474/10f8ca06-2216-4458-a6fa-11a60c43ff50)\n\n", "url": "https://www.ycombinator.com/launches/NvC-autosana-ai-qa-agent-for-mobile-apps", "votes": 84, "created_at": "2025-07-08T15:59:20.183Z" } ] }, { "id": 30852, "name": "Nexus", "slug": "gpt", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e16ccc5827c9436c2ec14d6feb3d12e71045157d.png", "website": "https://agent.nexus", "all_locations": "Brussels, Brussels, Belgium", "long_description": "Nexus enables non-technical teams in large organizations to build production-ready AI agents without code. ", "one_liner": "We help non-technical teams build AI agents without engineers", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1759450579, "tags": [ "No-code", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "Belgium", "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/gpt", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/gpt.json", "year_founded": 2024, "city": "Brussels", "country": "BE", "linkedin_url": "https://www.linkedin.com/company/nexusagent", "x_url": "https://x.com/nexus_gpt", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e16ccc5827c9436c2ec14d6feb3d12e71045157d.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": 1212509, "full_name": "Assem Chammah", "title": "Founder/CEO", "founder_bio": "Aerospace engineer and ex-McKinsey consultant turned startup founder, now building NexusGPT—the enterprise no-code platform for AI agents. Currently helping 10+ large enterprises (Orange, Waterland Private Equity, etc.) automate and scale with AI. Passionate about agentic workflows, lean operations, and democratizing AI for business teams. Always up for swapping startup war stories or talking about the future of work.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/assemchammah", "x_url": "http://x.com/achammah1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4de07352c751439951644503ca5df9b628a2d78c.jpg" }, { "user_id": 1993360, "full_name": "Shady Al Shoha", "title": "Founder/CTO", "founder_bio": "Co-founder (CTO) of NexusGPT", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shady-al-shoha/", "x_url": "https://x.com/ShadyShoha", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f6ec0a99da689db5063f8937ad673ddddbda3d82.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94339, "title": "Nexus – Enabling Business Teams to Build AI Agents Without Code", "tagline": "Build agent without waiting for the engineering team", "body": "![uploaded image](/media/?type=post&id=94339&key=user_uploads/1212509/d8f3dd70-cd99-48ee-b914-f303f372157c)\n\n**TL;DR:** Nexus is a platform enabling non-technical business teams to create production-ready AI agents in days, not months.\n\n---\n\n## We're Nexus\n\nWe're Assem and Shady, the Nexus team. We've been in the AI trenches since 2019, and we kept watching the same painful pattern repeat at every enterprise.\n\nhttps://youtu.be/ItX32Iqx2I8\n\n---\n\n# The Problem: 95% of Enterprise AI Projects Fail\n\n**MIT reported in August 2025 that 95% of enterprise AI projects fail.** The reason? Engineering can't ship fast enough.\n\nConsider this scenario: Your sales team needs an AI agent to qualify leads, research companies, and personalize outreach. It's a perfect use case for AI. You know exactly what you need.\n\nBut here's what actually happens:\n\n* **Engineering has a 6-12 month backlog** – Your project gets queued behind critical infrastructure work\n* **By the time they start building**, GPT-5 is out and your GPT-3.5 solution is already obsolete\n* **By the time they finish**, your business needs have completely changed – that lead qualification process? Your team evolved it three times already\n* **The solution is rigid** – Any change means another engineering ticket and another 3-month wait\n\nWe watched this pattern destroy brilliant AI initiatives across industries. A telecom giant had a chatbot stuck with IT for over a year. Global consultancies spent 6+ months with external developers with nothing to show. Private equity firms rebuilt the same infrastructure from scratch, over and over.\n\n**Companies that lose on speed lose big.** While you wait, competitors are moving. Markets are shifting. Opportunities are disappearing.\n\nThe bottleneck isn't ideas, budget, or even AI capabilities. **It's implementation speed.**\n\n---\n\n# The Solution: Give Business Teams the Power to Build\n\nInstead of waiting for engineering or buying rigid pre-built solutions, Nexus gives enterprises the infrastructure to build their own agents reliably – **no code required**.\n\n### **How It Works:**\n\n**1. Create agents with natural language**\n\nDescribe what you want in plain English. \"Build a agent that screens job applications, checks LinkedIn profiles, and schedules interviews with qualified candidates.\" and Nexus kickstarts the building of your agent from scratch\n\n![uploaded image](/media/?type=post&id=94339&key=user_uploads/1212509/ccf88c58-51d1-47ac-8ea3-c65df19334e6)\n\n**2. Connect your entire company stack**\n\nConnect any system, choose any AI model, integrate any tool. With 4,000+ plugins plus custom API support, your agents work with your entire tech stack. No vendor lock-in\n\n![uploaded image](/media/?type=post&id=94339&key=user_uploads/1212509/32849f6b-6efa-4ca7-84ad-dbfd77f82ab7)\n\n\n**3. Build complex agentic workflows**\\\nVisual builder with AI actions, web search, data extraction, and integration with over 4,000 business apps. No coding, just drag and drop.\n\n![uploaded image](/media/?type=post&id=94339&key=user_uploads/1212509/153019f0-f934-4928-a636-53a634f24991)\n\n**4. The Secret Sauce: Nexus Flow**\n\nTraditional automation forces a bad tradeoff:\n\n* **RPA tools** – Work perfectly until your process changes (then break instantly)\n* **AI workflows** – Handle some variation but hit walls with real complexity\n* **Open-ended agents** – Might solve it brilliantly. Might hallucinate. You never know.\n\n**Nexus gives you both:** Our Agentic Flow lets you decide when agents should think and adapt vs. when they need zero-hallucination reliability. Full intelligence when you need it, bulletproof accuracy when it matters.\n\n---\n\n# Proven at Scale: Orange Belgium\n\nhttps://youtu.be/MEvaTTG9IrY\n\nOrange Belgium needed to transform their customer onboarding. Previous scripted chatbots were a good start, but customers expected natural conversations, not predefined menus.\n\n**A non-technical team member used Nexus to build a complete AI sales agent in one week:**\n\n* Connected to Orange's entire product catalog and internal systems\n* Deployed on WhatsApp for omnichannel customer reach\n* Is relentless about closing the sales while answering concerns\n* Live in production, serving thousands of customers\n\n**The Results:**\n\n* **$4M+ in monthly revenue** generated by this single agent\n* **+50% conversion rate**\n* **+10 points customer satisfaction**\n\n_\"With Nexus, we've given every prospect a knowledgeable consultant available 24/7. It's like speaking to our best-trained advisor, anytime.\"_ – Laurent Stevens, Digital Performance Specialist, Orange Belgium\n\n---\n\n---\n\n# How We Got Here\n\nWe've been building AI systems since 2019, pre-ChatGPT. We helped enterprises implement everything from custom LLM pipelines to agentic workflows.\n\n**The breaking point came when we saw the same infrastructure being rebuilt over and over:**\n\n* Prompt engineering frameworks\n* Evaluation pipelines\n* Testing infrastructure\n* Integration layers\n* Deployment systems\n* Monitoring and observability\n\nEvery enterprise was spending 6-12 months building the exact same foundation. Meanwhile, brilliant AI ideas died in committee meetings and engineering backlogs.\n\nWe thought: **What if we built this infrastructure once, made it enterprise-grade, and let business teams build on top of it?**\n\nThat's when we knew we had something.\n\n---\n\n# Our Ask\n\nWe'd love to help automate your workflows – or connect you with enterprises that need this!\n\n**If you know someone at a large organization (200+ employees) with:**\n\n* A challenging AI roadmap stuck in implementation\n* A need to integrate reliable AI across multiple departments\n* Frustration with current solutions or development speed\n\n**We'd love to chat.** Reach out to [**assem@gpt.nexus**](mailto:assem@gpt.nexus) and we can set up time to discuss how Nexus could help, or book directly at https://calendly.com/assem-obpv/nexus-demo-call\n\n---\n\n_P.S. – We're SOC 2, ISO 27001, ISO 42001, and GDPR certified. Enterprise-grade security is built in from day one._ 🚀", "url": "https://www.ycombinator.com/launches/OXb-nexus-enabling-business-teams-to-build-ai-agents-without-code", "votes": 14, "created_at": "2025-10-03T14:09:38.768Z" } ] }, { "id": 30867, "name": "Soren", "slug": "soren", "former_names": [ "Remediate" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/490097dc2bb667a63917b9fa0c6e2003442ad353.png", "website": "https://soren-ai.com", "all_locations": "San Francisco, CA, USA", "long_description": "Soren is an AI-native engineering firm that helps traditional businesses put AI to work.\r\n\r\nWe combine world-class engineering talent with AI-powered delivery to modernize legacy systems, build intelligent software, and solve complex business problems.\r\n\r\nBy pairing human expertise and judgment with the speed and efficiency of AI, we deliver better technology, faster and at a fraction of the cost of traditional engineering firms.\r\n", "one_liner": "The AI Transformation Company", "team_size": null, "industry": "B2B", "subindustry": "B2B", "launched_at": 1759390917, "tags": [ "B2B", "Enterprise Software", "Operations", "AI" ], "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/soren", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/soren.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/soren-ai-inc", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/490097dc2bb667a63917b9fa0c6e2003442ad353.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7a8ee7032fd4e06f7a8ed24f446cfdcbaa346720.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 2568519, "full_name": "Kevin Xie", "title": "Founder/CEO", "founder_bio": "Founder & CEO @ Soren. Studied AI + Math at MIT. Former researcher at MIT, Harvard, and Johns Hopkins across neural reasoning, AI reliability, and MRI. Published in Nature BME. Worked at a handful of venture-backed startups before founding Soren. Former top-150 U.S. tennis player.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kevinxie06", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/293a798edc2b39344d42789f01f9b968f3c661ff.jpg" } ], "jobs": [ { "id": 102000, "title": "Growth Intern", "url": "https://www.ycombinator.com/companies/soren/jobs/Q1niW87-growth-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Operations", "role_type": null, "salary_range": "$6K - $11K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 116306, "title": "Founding Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/soren/jobs/Hc2oUbv-founding-forward-deployed-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "AI engineer", "salary_range": "$120K - $250K", "equity_range": "0.50% - 4.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 30877, "name": "Trelium", "slug": "trelium", "former_names": [ "Questom" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4cf7ff003fba8201e539d2872cb8344bd10cf9b4.png", "website": "https://www.trelium.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Trelium lets enterprise teams build AI agents in simple English to automate back-office work. We serve companies handling custom and bulk operations, including distributors, suppliers, and decorators across the print, merch, and apparel industries, automating workflows like order entry, purchase order creation, PO-invoice matching, order-status follow-ups, and many more.", "one_liner": "AI Agents for Enterprise Wide Operations", "team_size": 11, "industry": "B2B", "subindustry": "B2B", "launched_at": 1759277752, "tags": [ "B2B", "Workflow Automation", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "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/trelium", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/trelium.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/questom-inc/", "x_url": "https://x.com/trelium_ai", "fb_url": "https://www.facebook.com/profile.php?id=61590313357941", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4cf7ff003fba8201e539d2872cb8344bd10cf9b4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a5b8c4c92ec5a87175cd6dced6e402985f021a43.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 2543329, "full_name": "Abhimanyu Yadav", "title": "Founder/CEO", "founder_bio": "Trelium lets teams describe workflows in English and deploys agents to run them. Any app, any logic, any automation, built in under 7 minutes, runs forever.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/abhiy1", "x_url": "https://x.com/not_by_default", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9232e2d5c6321dbf8bed4ac3dccb6b9d53c9c407.jpg" }, { "user_id": 1608276, "full_name": "Ritanshu Dokania", "title": "Founder/CTO", "founder_bio": "Trelium lets teams describe workflows in English and deploys agents to run them. Any app, any logic, any automation, built in under 7 minutes, runs forever.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ritanshudokania", "x_url": "https://x.com/ritanshu675", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/84e04c2e1c5fdbc85669452950487e97b6aa1063.jpg" } ], "jobs": [ { "id": 89120, "title": "Founding Engineer", "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", "equity_range": "0.10% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "PostgreSQL", "React", "TypeScript", "Next.js" ] } ], "news": [], "launches": [ { "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\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" }, { "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", "url": "https://www.ycombinator.com/launches/OoJ-questom-ai-agents-for-b2b-inbound-sales", "votes": 20, "created_at": "2025-11-10T19:13:01.810Z" } ] }, { "id": 31011, "name": "Openroll", "slug": "openroll", "former_names": [ "Compensara" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e85636cc8d85e40e183c3547b34d3f05a5aa19c6.png", "website": "https://www.openroll.com", "all_locations": "Stockholm, Stockholm County, Sweden", "long_description": "Openroll is an AI-powered workspace for people and finance teams.\r\n\r\nOpenroll lets teams automate recurring work and run fully auditable workflows across their systems.\r\n\r\nCompensation, headcount, and budgeting in one platform.\r\n\r\nLearn more at https://www.openroll.com", "one_liner": "The AI workforce for People and Finance teams", "team_size": 4, "industry": "B2B", "subindustry": "B2B", "launched_at": 1758664179, "tags": [ "B2B", "Productivity", "HR Tech", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "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/openroll", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/openroll.json", "year_founded": 2024, "city": "Stockholm", "country": "SE", "linkedin_url": "https://www.linkedin.com/company/openroll/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e85636cc8d85e40e183c3547b34d3f05a5aa19c6.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": 1762740, "full_name": "Mattias Lindell", "title": "Founder/CEO", "founder_bio": "Mattias is the CEO and co-founder of Openroll, where he is building the agentic platform for People and Finance teams. Before Openroll, he competed in elite youth football, co-led multi-billion procurement projects at Swedbank, and launched multiple ventures - from a bedsheet-cleaning service to consumer apps - while studying. He left his MSc in Finance at Sweden’s top university, SSE, to work full-time on Openroll.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lindellmattias/", "x_url": "https://x.com/MattiasLindll", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/61f6aacd9511c99664139c956580c80e300222a6.jpg" }, { "user_id": 2230084, "full_name": "Porsev Aslan", "title": "Founder/CTO", "founder_bio": "Reimagining how organizations work, automate, and operate with AI agents.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/porsev-aslan/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6d33c6bbde4d4e16d321d18add41a05da6453d0d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94293, "title": "Openroll: The AI that Shows Exactly What Your Competitors Pay", "tagline": "AI agents that reveal competitor pay and guide every salary decision.", "body": "**TL;DR:** Companies spend trillions each year on salaries but still guess what to pay. Openroll ends that. Our AI agents reveal exactly how competitors pay – company by company, role by role – and guide leaders through salary decisions in real time.\n\nEarly customers are already closing candidates they used to lose, retaining their best people, and seeing 3X ROI in week one and six-figure P&L impact.\n\nKnow any tech People/HR leaders, CFOs, or CEOs? Let’s connect: [mattias@openroll.com](mailto:mattias@openroll.com)\n\nhttps://youtu.be/WfrVYtrUWmM\n\n**Problem**\n\nImagine playing chess without seeing the board.\n\nThat’s how companies set pay today. Salaries decide who joins, who stays, and who leaves – yet leaders still move blindly.\n\nIn fast-moving markets, the stakes are extreme. Miss the mark and:\n\n• The candidate you need takes a competing offer.\n\n• A top performer walks when they discover they’re underpaid.\n\n• Replacements cost months of time and resources.\n\nDespite salaries being the largest spend in business, companies still rely on industry averages, gut feeling, and overpriced consultants. By the time they get an answer, it’s already too late.\n\nThe consequences of guessing on pay are brutal: lost candidates, frustrated teams, and six-figure mistakes. And even the biggest, most sophisticated companies still make them.\n\n**What We’ve Built**\n\nOpenroll is an agentic AI platform that brings real transparency into compensation for the first time:\n\n* **See competitor pay, company by company:** Know exactly what your peers pay their employees. No averages. No black boxes. Just transparent data.\n* **AI-guided pay decisions:** From setting starting salaries to balancing cash vs. equity, agents guide leaders through the toughest calls.\n* **Speed is survival:** Weeks of manual work and spreadsheets collapse into seconds – giving you the edge to win and keep the people who matter most.\n\n![uploaded image](/media/?type=post&id=94293&key=user_uploads/1762740/cabffc7c-4a3c-4956-be6d-db93d501d7b4)\n\n**Why This Matters**\n\nHere’s what our users say:\n\n“Candidates we used to lose now close in days.”\n\n“We finally know where we stand in the market.”\n\n“Comp decisions that dragged on for weeks now take minutes.”\n\n“For once I know what my competitors actually pay”\n\n**Employees** love Openroll because they know pay is fair and transparent. **Managers** love it because they can act instantly and with confidence instead of wrestling with spreadsheets and guesswork. **Executives** love it because it keeps their teams together and turns compensation into a driver of growth, not risk.\n\nThe pull from tech companies has been great but any organization competing for talent is starting to see Openroll as essential infrastructure.\n\n**Who We Are**\n\n![uploaded image](/media/?type=post&id=94293&key=user_uploads/1762740/3c74d2d1-d720-4719-953e-8d0b235a3d29)\n\nWe are **Mattias Lindell** and **Porsev Aslan**. Over the past year, we’ve lived inside the world of compensation – shadowing HR teams, interviewing leaders, and building alongside early adopters.\n\nWe’ve sat in the rooms where offers were lost and talent walked away, and we’ve refined Openroll hand-in-hand with the companies fighting to keep their people.\n\n**Our Ask**\n\nKnow any CHROs, Heads of People, CFOs, or CEOs who care about retaining top talent? Please connect us.\n\nHave you ever been frustrated by surveys, consultants, or guessing games around pay? We’d love to hear your stories.\n\nReach out at: [mattias@openroll.com](mailto:mattias@openroll.com)", "url": "https://www.ycombinator.com/launches/OWr-openroll-the-ai-that-shows-exactly-what-your-competitors-pay", "votes": 18, "created_at": "2025-10-02T01:47:21.804Z" } ] }, { "id": 31182, "name": "Visibl Semiconductors", "slug": "visibl-semiconductors", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c9acdb09765b62086883672feeb576e191249bff.png", "website": "https://visiblsemi.com", "all_locations": "San Francisco, CA, USA", "long_description": "Visibl Semiconductors makes custom silicon accessible to hardware companies, starting with power electronics. We are an AI-native custom-silicon design partner that cuts ASIC development cost and timeline on mature nodes, helping teams deliver better performance and lower BOM cost.\r\n\r\nWe work with data-center and AI-infrastructure power, motor drives, industrial automation and robotics, industrial power supplies and conversion, battery systems and e-mobility powertrains, EV charging, solar, energy storage, grid power, HVAC, heat pumps, and appliances.\r\n\r\nV1 boards built from off-the-shelf parts are great for getting to market quickly, but scaling to v2+ volume requires optimizing cost, size, and manufacturability. Visibl folds those parts into custom silicon built around the product: a simpler BOM, reclaimed board space, fewer supply constraints, and automation-ready assembly.\r\n\r\nWe manage the full path from architecture and design through verification, fabrication, packaging, and production-ready silicon, working alongside hardware teams so they do not need an in-house chip team.", "one_liner": "Custom silicon for power electronics", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1767637338, "tags": [ "Hard Tech", "Enterprise", "Enterprise Software", "Semiconductors", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 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/visibl-semiconductors", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/visibl-semiconductors.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/visiblsemi/", "x_url": "https://x.com/visiblsemi", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/visibl-semiconductors", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c9acdb09765b62086883672feeb576e191249bff.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 931842, "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/", "x_url": "https://x.com/BryceNeil__", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f4a73099532b0428b2822b3d566c3aa58aa1a33e.jpg" }, { "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.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jordon-kashanchi-46357b143/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8c29f07f5f652b30a9a450937d9ee7519a73abfa.jpg" } ], "jobs": [ { "id": 113109, "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", "location": "Remote (US)", "type": "Contract", "role": "Engineering", "role_type": "Hardware", "salary_range": "$180K - $250K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Verilog", "FPGAs" ] } ], "news": [], "launches": [ { "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:** \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\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" } ] }, { "id": 31184, "name": "Assemble", "slug": "assemble", "former_names": [ "Serin", "Standard Interaction" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fdaeafd72d237eaf328842585365c3b7ce49cb7c.png", "website": "https://www.assemble.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Assemble accelerates IT teams by performing development work inside core enterprise systems like ERP, CRM, and HRIS. Our agents help IT teams scope dependencies, build logic, and validate changes across your systems.", "one_liner": "Autonomous IT Delivery", "team_size": 4, "industry": "B2B", "subindustry": "B2B", "launched_at": 1783894724, "tags": [ "SaaS", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "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/assemble", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/assemble.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/use-assemble", "x_url": "https://x.com/assembleagents", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fdaeafd72d237eaf328842585365c3b7ce49cb7c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 1578320, "full_name": "Aliyan Ishfaq", "title": "Founder/CEO", "founder_bio": "cs/ai @ stanford | prev. SAIL, LangChain", "is_active": true, "linkedin_url": "https://linkedin.com/in/aliyan-ishfaq", "x_url": "https://x.com/MAliyanIshfaq", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e4fa658850fbf6eb187933c123d915d40d059d30.jpg" }, { "user_id": 1804823, "full_name": "Shaurnav Ghosh", "title": "Founder/CTO", "founder_bio": "Building Assemble.\nSAIL Researcher. Previously at AWS, Apple. Stanford CS BS/MS.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shaurnav-ghosh/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e26c4f24efcca55ac87f67e85a7c991281951379.jpg" }, { "user_id": 3118829, "full_name": "Shrish Janarthanan", "title": "Founder/CPO", "founder_bio": "CS @ Stanford. Cyber Security @ KPMG. Mayfield Fellow. Building AI for IT Teams. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shrishj/", "x_url": "https://x.com/shrishj5", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6a6deb9a94d9a3b0b11ae04c5d045d3c8d4e5888.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 105577, "title": "Assemble: Agents for Enterprise IT", "tagline": "Agents that perform IT implementations across ERPs, CRMs, and HRIS platforms.", "body": "Hi, we’re Assemble!\n\nWe build agents for IT teams that manage enterprise systems like ERP, CRM, and HRIS platforms. Think Salesforce, SAP, Workday, NetSuite, and custom applications. \n\nThese **platforms keep the world’s businesses running every day**, yet they are painful to configure as the business evolves. With custom logic, integrations, and processes built up over years, IT implementations can take months or even years.\n\nAssemble helps IT teams understand these dependencies, make changes, and test the result, all while keeping a clear agent trace. Teams can review the work, approve it, and roll it back when needed. We are building Assemble to help IT teams deliver complex transformation projects with both speed and control.\n\n**Demo**\n\n\n\nThe demo shows Assemble migrating trade-show accounts from HubSpot to Salesforce and setting up APEX automation for hot leads. The agent completes the work end-to-end, creating an audit trail for every action letting the user revert individual changes or restore the Salesforce to an earlier snapshot.\n\n**Why we started Assemble**\n\nWe learned about the problem space after talking to more CIOs and VPs of IT. Companies are already using AI to ask questions about their core business stack. The real challenge is to have safe-execution inside these core systems, letting IT move just as fast as the business.\n\n![uploaded image](/media/?type=post&id=105577&key=user_uploads/1578320/4aa47909-92cb-46a2-9479-917d889f318c)\n\nShrish (left): Cyber Security at KPMG, Mayfield Fellow. \n\nAliyan (center): Researcher at Stanford AI Lab, Applied AI Engineer at Langchain, built products used by 100k+ people\n\nShaurnav (right): AI Engineer at Amazon and Apple. Researcher at Stanford AI Lab\n\nWe have worked on long-running agents and are excited to apply that experience to enterprise IT.\n\n**Asks:**\n\n1. If your company uses Salesforce, NetSuite, Workday, ServiceNow, SAP, or similar systems, we’d love to learn how your IT / business systems team handles changes today. **Are they backlogged? We might be able to help!**\n2. If you know someone who leads IT, Business Systems, or Enterprise Applications at a scaling company, we’d be very grateful for an intro!\n\nTalk to us at [founders@assemble.ai](mailto:founders@assemble.ai)", "url": "https://www.ycombinator.com/launches/RSr-assemble-agents-for-enterprise-it", "votes": 4, "created_at": "2026-07-13T16:23:12.785Z" } ] }, { "id": 31192, "name": "Approxima", "slug": "approxima", "former_names": [ "Sidekit", "SideKit" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e6e6d183a6369dfc8a86aad778e45ad07d16406f.png", "website": "https://approxima.ai", "all_locations": "Toronto, ON, Canada", "long_description": "Human-assisted development should be for novel ideation, not routine maintenance, bug fixes or incremental updates. Approxima is bringing you that future with agents that can scope work, code, validate their fixes end-to-end in sandbox environments and merge to production. Book a demo: https://calendly.com/ashish-selvaraj/approxima", "one_liner": "Your software should build itself.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1767593677, "tags": [ "Enterprise Software", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "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/approxima", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/approxima.json", "year_founded": 2025, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/approximai/", "x_url": "https://x.com/approximai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/appsidekit/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e6e6d183a6369dfc8a86aad778e45ad07d16406f.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": 3229135, "full_name": "Ethan Pronev", "title": "Founder", "founder_bio": "Co-founder at Approxima, building the trust layer to help software development scale with AI. Previously worked on trading systems at Jane Street and Citadel Securities. Computer Science graduate from the University of Waterloo, class of 2025.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ethan-pronev/", "x_url": "https://x.com/ethanpronev", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bc2e0a901422a1951b677c9ae1edbf7f9d8b954a.jpg" }, { "user_id": 2960509, "full_name": "Ashish Selvaraj", "title": "Founder", "founder_bio": "Co-founder at Approxima, building the trust layer to help software development scale with AI. Previously worked on delta live tables at Databricks, an infra testing engine at Microsoft and graduated with a double degree in Computer Science and Business from Waterloo in 2025.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ashish-selvaraj/", "x_url": "https://x.com/asheeeeeshh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b55ae2511335d9eef1ee99bbf880a8b7585339e1.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31222, "name": "Superset", "slug": "superset", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9c4aa01fc589ba1d208558f7b720c6081f672b08.png", "website": "https://www.superset.sh/", "all_locations": "San Francisco, CA, USA", "long_description": "Superset is an open-source IDE that helps engineers run 100s of coding agents in parallel.\r\n\r\nOur desktop app is loved by tens of thousands of engineers, and we're scaling out our effort to build a collaborative, cross-platform tool to allow users to code anywhere.", "one_liner": "Building self-improving software", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1772696752, "tags": [ "Developer Tools", "Consumer", "B2B", "Enterprise Software", "AI" ], "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/superset", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/superset.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/superset-sh", "x_url": "https://x.com/superset_sh", "fb_url": null, "cb_url": null, "github_url": "https://github.com/superset-sh/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9c4aa01fc589ba1d208558f7b720c6081f672b08.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7d7985153e3f3f3657501cad87d810751a2de2c3.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 276516, "full_name": "Kiet Ho", "title": "Founder/CEO", "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", "x_url": "https://x.com/FlyaKiet", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/be990abee447e67c96fc01cb7c94ab41f17d7381.jpg" }, { "user_id": 667926, "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/", "x_url": "https://x.com/saddle_paddle", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e04862bf60855ebe5323bfaaf8b1634a063087b5.jpg" }, { "user_id": 230159, "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", "x_url": "https://x.com/avimakesrobots", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/700e04a07290a0348d38f550c8a5e467947d5cca.jpg" } ], "jobs": [ { "id": 91489, "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", "salary_range": "$175K - $225K", "equity_range": "1.00% - 1.50%", "experience": "2+ years", "visa": "Will sponsor", "skills": [ "PostgreSQL", "React", "TypeScript", "Next.js", "AI Agents" ] }, { "id": 109607, "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": [ "CSS", "React", "TypeScript", "Figma", "Tailwind" ] } ], "news": [], "launches": [ { "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\\\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\\\n**\\\nPlease try us and give us your feedback:**\n\nStar the repo: \\\nsend us your feedback: [hello@superset.sh](mailto:hello@superset.sh)\n\nTry superset: ", "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" } ] }, { "id": 31241, "name": "Corelayer", "slug": "corelayer", "former_names": [ "Sevvy" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7fc77bd9760310dfdeb4b8ba962b09280b614937.png", "website": "https://www.corelayer.com", "all_locations": "San Francisco, CA, USA", "long_description": "Corelayer is the AI-native platform for production software support, built for regulated industries like finance and healthcare. It continuously monitors alerts, logs, infrastructure, and underlying data for issues and uses agents to debug and suggest fixes.\r\n\r\nWe're helping SRE, production services, and on-call engineers at companies ranging from growth-stage fintechs to Fortune 500 financial institutions spend less time on support and more on high-leverage work.", "one_liner": "AI production engineer for regulated industries", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1767713346, "tags": [ "Developer Tools", "B2B", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 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/corelayer", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/corelayer.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/108275403", "x_url": "https://x.com/CorelayerAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7fc77bd9760310dfdeb4b8ba962b09280b614937.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": 2897480, "full_name": "Mitch Radhuber", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO @ Corelayer | Automating software support and ops for the world’s most complex environments.\n\nPrev: software + data infra @ Goldman Sachs, CS @ UMich, astrophysics research @ Princeton", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mitchellradhuber", "x_url": "https://x.com/MRadhuber", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e7590cd2fc3d3a9254fe52d5d01e6d5da3d0c35b.jpg" }, { "user_id": 2953500, "full_name": "Shipra Jha", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO @ Corelayer | Building the AI-native operations layer for production software and data systems.\n\nPrev: software + data infra @ Goldman Sachs, cloud infra @ Oracle, CS @ CMU", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shipra-jha-9b021859/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ebc2e5c8ebb0dde05bf8a9e100f7393778004685.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 96772, "title": "Corelayer: AI on-call engineer for regulated industries", "tagline": "Detect and fix production issues 15x faster", "body": "Hey everyone! 👋\n\nWe’re [Mitch](https://www.linkedin.com/in/mitchellradhuber/) and [Shipra](https://www.linkedin.com/in/shipra-jha-9b021859/) - before Corelayer, we built data infrastructure at Goldman Sachs where we spent many late nights and weekends debugging systems that processed 100s of billions of rows a day.\n\n**TL;DR**\n\nWhen you’re on call in data-heavy, regulated industries like fintech, healthcare, or insurance, you need to inspect underlying data to debug production issues. We built a platform that monitors both infrastructure and data for anomalies and uses AI agents to debug and suggest fixes in minutes.\n\n[Corelayer Launch Video](https://youtu.be/yFZKJ9QRrr4)\n\n**On-call support is painful and expensive**\n\nAll engineers hate being on call. Production issues kill velocity, erode user trust, and become more and more costly as companies scale.\n\nFortune 100s spend **$100M+/year** on first-line-of-defense production support.\n\nSmaller companies can’t afford to burn **scarce engineering resources** on time-consuming support and maintenance.\n\n**The (sensitive) data problem**\n\nIf you’re a backend engineer at a fintech, you probably own a service that queries data, applies some business logic, and stores the result somewhere (i.e., a data pipeline).\n\nWhen this service is running in production, you’ll see two failure modes:\n\n1. Exceptions in logs and/or failing jobs\n2. Bad data produced by your service\n\n“Bad data” can mean anything from incorrect values to entirely missing or duplicated rows.\n\n**This is really common** in certain products and industries, but you’re totally blind to these errors without monitoring data for anomalies and querying data while debugging.\n\nIn regulated environments where this problem is prevalent, **production data is sensitive**, which is another constraint we have to solve for.\n\n**Corelayer solves this**\n\nWe continuously monitor logs, metrics, **and data** for anomalies and use AI agents to debug, root-cause, and suggest fixes for issues.\n\n![uploaded image](/media/?type=post&id=96772&key=user_uploads/2897480/fce0b569-7a89-41f5-8225-625e86092a04)\n\nWe also filter out false positives and group related issues to reduce alert noise.\n\n![uploaded image](/media/?type=post&id=96772&key=user_uploads/2897480/6b91dd40-c7c7-4ca9-97a4-f80eaaff537d)\n\nEvery team is different. We take feedback from human engineers so our agents learn your systems and improve over time.\n\n![uploaded image](/media/?type=post&id=96772&key=user_uploads/2897480/f5384b34-039b-40f5-ba00-4c1ede356893)\n\nData is especially sensitive in regulated industries. We’re SOC 2 compliant, offer **BYOC and** **on-prem deployments**, flexible LLM inference options, and expose an audit trail of each step performed by the agent with citations.\n\n**Our Asks**\n\nDoes your team deal with data or integrations and spend more time on production support than you’d like? [Let’s chat](https://cal.com/mitchrad/30min). \n\nCan you connect us with an engineering leader at a finserv, fintech, healthcare, or insurance company? Reach out at [founders@corelayer.com](mailto:founders@corelayer.com).\n\nThank you!\n\n![uploaded image](/media/?type=post&id=96772&key=user_uploads/2897480/18ce5a17-9fb2-42d6-8a39-0314da2f5f5d)\n\n", "url": "https://www.ycombinator.com/launches/PAq-corelayer-ai-on-call-engineer-for-regulated-industries", "votes": 108, "created_at": "2026-01-14T03:12:36.330Z" } ] }, { "id": 31243, "name": "Foreman", "slug": "foreman", "former_names": [ "Scout Out" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4ea6017f7d414cf92f14434141d6dd12101b14d9.png", "website": "https://foreman.co", "all_locations": "San Francisco, CA, USA", "long_description": "Foreman is the all-in-one AI-powered project management platform built for construction contractors and the trade industry.\r\nToday, contractors run complex businesses on a patchwork of tools that were never designed for construction — estimates in spreadsheets, plans in email, proposals copy-pasted from old Word docs, photos scattered across phones. Nothing talks to anything else, and the admin work never stops.\r\nForeman replaces that patchwork with a single platform that manages the full lifecycle of a construction job, from first estimate to final invoice. Contractors upload plans, photos, or a project description, and Foreman's AI instantly generates structured takeoffs, scoped estimates, and professional proposals — in minutes, not hours. From there, every customer record, document, permit, photo, change order, and conversation lives in one place, organized around the job.\r\nThe result: contractors spend less time buried in admin and more time building. They bid faster, manage jobs with less chaos, and close projects cleanly — without duct-taping five tools together to do it.", "one_liner": "Keeping contractors on the job site, not behind a desk.", "team_size": 2, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction", "launched_at": 1768343791, "tags": [ "Finance", "Construction", "Scheduling", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "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/foreman", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/foreman.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/111206906", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4ea6017f7d414cf92f14434141d6dd12101b14d9.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 2106935, "full_name": "Nolan Rossi", "title": "Founder/CEO", "founder_bio": "Currently keeping construction companies on the job site, not behind a desk.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nolan-rossi", "x_url": "https://x.com/NolanRossi100", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/de427265df670b05fa9ab9dc34dbc9bd9807ab62.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98494, "title": "Scout Out: run your construction business from one place", "tagline": "Estimate faster, manage better, and keep every project on track", "body": "Hey everyone [👋](https://emojipedia.org/waving-hand)\\\nI’m [Nolan](https://www.linkedin.com/in/nolan-rossi/), founder of [**Scout Out**](https://www.scoutout.ai).\n\n**TL;DR**\n\nResidential contractors juggle dozens of moving pieces — estimates, plans, takeoffs, proposals, change orders, documents — across spreadsheets, email threads, and sticky notes. Scout Out is the all-in-one AI-powered project management platform built specifically for construction, automating the busywork so contractors can focus on building.\n\n[**Scout Out**](https://scoutout.ai/) contractors one platform to manage every job — with AI that handles takeoffs, clients, crew, and documents in minutes, not hours.\\\n\\\n**Ask:** If you know residential contractors, remodelers, or builders drowning in admin work, we'd love an intro.\n\n👉 Contact us at: [nolan@scoutout.ai](mailto:nolan@scoutout.ai)\n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/30e770cd-ac0d-4853-9d5c-40b1cb0f9615)\n\n# [**🕺**](https://emojipedia.org/man-dancing)**The Team**\n\n[**Nolan (Founder & CEO)**](https://www.linkedin.com/in/nolan-rossi/) – triple majored in Electrical Engineering & Computer Science, Astrophysics, and Business Administration through UC Berkeley’s M.E.T. program, graduating in three years. He previously worked as a software development engineer at Amazon and ran a software consultancy he scaled to $250k in revenue. As a fourth-generation member of a family construction business, Nolan saw firsthand how difficult it is for contractors to consistently find new work — and how little time they have to sit down and bid on projects while managing active jobs. Scout Out was built to solve that problem.\n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/6d9cfed3-6baf-4fac-b9b7-ec2a2d99a6de)\n\n# **❌ The Problem**\n\nResidential contractors are running complex businesses on a patchwork of tools that were never built for construction.\n\n* **Project management is fragmented.** Plans live in email. Estimates live in spreadsheets. Photos live on phones. Proposals get copy-pasted from old Word docs. Nothing talks to anything else.\n* **Estimating is slow and error-prone.** Reading through plans, measuring takeoffs, pricing labor and materials, then assembling a professional proposal — this process takes hours and still produces mistakes. Contractors either underbid to win, or overbid to be safe, and lose anyway.\n* **AI tools exist but aren't built for construction.** Generic project management software ignores the realities of field work — plan sets, per-page takeoffs, scope changes mid-build, subcontractor coordination.\n\n Contractors end up duct-taping tools together and paying the price in margin and stress.\n\n**The result:** Jobs are won with incomplete bids, managed with ad-hoc systems, and closed with manual paperwork that eats hours contractors don't have.\n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/0cdecb42-5772-4e1d-81d1-1d7fb87db86d)\n\n# **🙌 Our Solution: One Platform for the Entire Job**\n\nScout Out is a single platform that handles the full lifecycle of a construction job — from first estimate to final invoice — with AI doing the heavy lifting.\n\n### Job & Customer Hub 🏗️\n\nEverything lives in one place, organized around the job:\n\n* Customer records and full contact history\n* All uploads in one place: plans, photos, permits, contracts, and insurance\n* Status tracking across every deliverable and milestone\n* Every conversation, change order, and document tied to the right job\n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/ffbb3afc-3a3e-425d-800a-23c7fc95413a)\n\n### Instant AI-Powered Bidding ⚡\n\nWhen a contractor finds a project they want, ScoutOut generates a **clean, editable quote in seconds**.\n\n* Upload plans, photos, or a short description\n* AI produces a structured estimate covering scope, labor, and materials\n* Contractors can review, adjust, and send a professional bid immediately\n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/cf8c8b3c-0744-4b8b-b092-16e0952bf102)\n\n### Built for Real Contractor Workflows 🔧\n\nScoutOut is designed for how contractors actually work:\n\n* No long setup or training\n* Quotes are editable and contractor-owned\n* Built to be used between site visits, calls, and active builds\n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/f723d694-6721-4b5a-a80a-4bd39e691892)\n\n", "url": "https://www.ycombinator.com/launches/Pcc-scout-out-run-your-construction-business-from-one-place", "votes": 10, "created_at": "2026-03-05T17:19:52.616Z" }, { "id": 97506, "title": "Scout Out: run your construction business from one place", "tagline": "Estimate faster, manage better, and keep every project on track", "body": "Hey everyone [👋](https://emojipedia.org/waving-hand)\\\nI’m [Nolan](https://www.linkedin.com/in/nolan-rossi/), founder of [**Scout Out**](https://www.scoutout.ai).\n\n**TL;DR**\n\nResidential contractors juggle dozens of moving pieces — estimates, plans, takeoffs, proposals, change orders, documents — across spreadsheets, email threads, and sticky notes. Scout Out is the all-in-one AI-powered project management platform built specifically for construction, automating the busywork so contractors can focus on building.\n\n[**Scout Out**](https://scoutout.ai/) contractors one platform to manage every job — with AI that handles takeoffs, clients, crew, and documents in minutes, not hours.\\\n\\\n**Ask:** If you know residential contractors, remodelers, or builders drowning in admin work, we'd love an intro.\n\n👉 Contact us at: [nolan@scoutout.ai](mailto:nolan@scoutout.ai)\n\n# \n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/30e770cd-ac0d-4853-9d5c-40b1cb0f9615)\n\n# [**🕺**](https://emojipedia.org/man-dancing)**The Team**\n\n[**Nolan (Founder & CEO)**](https://www.linkedin.com/in/nolan-rossi/) – triple majored in Electrical Engineering & Computer Science, Astrophysics, and Business Administration through UC Berkeley’s M.E.T. program, graduating in three years. He previously worked as a software development engineer at Amazon and ran a software consultancy he scaled to $250k in revenue. As a fourth-generation member of a family construction business, Nolan saw firsthand how difficult it is for contractors to consistently find new work — and how little time they have to sit down and bid on projects while managing active jobs. Scout Out was built to solve that problem.\n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/6d9cfed3-6baf-4fac-b9b7-ec2a2d99a6de)\n\n# **❌ The Problem**\n\nResidential contractors are running complex businesses on a patchwork of tools that were never built for construction.\n\n* **Project management is fragmented.** Plans live in email. Estimates live in spreadsheets. Photos live on phones. Proposals get copy-pasted from old Word docs. Nothing talks to anything else.\n* **Estimating is slow and error-prone.** Reading through plans, measuring takeoffs, pricing labor and materials, then assembling a professional proposal — this process takes hours and still produces mistakes. Contractors either underbid to win, or overbid to be safe, and lose anyway.\n* **AI tools exist but aren't built for construction.** Generic project management software ignores the realities of field work — plan sets, per-page takeoffs, scope changes mid-build, subcontractor coordination.\n\n Contractors end up duct-taping tools together and paying the price in margin and stress.\n\n**The result:** Jobs are won with incomplete bids, managed with ad-hoc systems, and closed with manual paperwork that eats hours contractors don't have.\n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/0cdecb42-5772-4e1d-81d1-1d7fb87db86d)\n\n# **🙌 Our Solution: One Platform for the Entire Job**\n\nScout Out is a single platform that handles the full lifecycle of a construction job — from first estimate to final invoice — with AI doing the heavy lifting.\n\n### Job & Customer Hub 🏗️\n\nEverything lives in one place, organized around the job:\n\n* Customer records and full contact history\n* All uploads in one place: plans, photos, permits, contracts, and insurance\n* Status tracking across every deliverable and milestone\n* Every conversation, change order, and document tied to the right job\n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/ffbb3afc-3a3e-425d-800a-23c7fc95413a)\n\n### Instant AI-Powered Bidding ⚡\n\nWhen a contractor finds a project they want, ScoutOut generates a **clean, editable quote in seconds**.\n\n* Upload plans, photos, or a short description\n* AI produces a structured estimate covering scope, labor, and materials\n* Contractors can review, adjust, and send a professional bid immediately\n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/cf8c8b3c-0744-4b8b-b092-16e0952bf102)\n\n### Built for Real Contractor Workflows 🔧\n\nScoutOut is designed for how contractors actually work:\n\n* No long setup or training\n* Quotes are editable and contractor-owned\n* Built to be used between site visits, calls, and active builds\n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/f723d694-6721-4b5a-a80a-4bd39e691892)\n\n", "url": "https://www.ycombinator.com/launches/PMg-scout-out-run-your-construction-business-from-one-place", "votes": 9, "created_at": "2026-02-06T02:51:10.759Z" } ] }, { "id": 31380, "name": "Superlog", "slug": "superlog", "former_names": [ "Swish", "Pulsend", "Pulsent", "Deep Engage", "Deepengage", "Openengage", "Deepengage", "Pulsending", "deep engage", "Singlevox", "deep engage", "Pulsent" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/96347d910b359b8008029da5fa69b30000efd6d0.png", "website": "https://superlog.sh/", "all_locations": "Paris, Île-de-France, France", "long_description": "Sentry and Datadog dump a stream of alerts. Most are duplicates, most lack context, and you still have to solve the issue yourself.\r\n\r\nSuperlog is AI-native observability that's meant not to be opened. A wizard scans your repo and installs proper OpenTelemetry instrumentation, then runs daily to keep up as you ship new code. When something breaks, Superlog groups the errors into a single incident, investigates with full context (logs, traces, recent deploys, past Slack threads), and posts one mergeable PR in Slack. You merge it, ignore it, or open it as a Claude Code session and modify it.\r\n\r\nTelemetry is vendor-neutral, so you keep every log, trace, and metric we install, even if you leave.", "one_liner": "Make software self-healing", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1775225049, "tags": [ "Developer Tools", "Open Source", "Kubernetes", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "France", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/superlog", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/superlog.json", "year_founded": 2026, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/superlogyc", "x_url": "https://x.com/superlogyc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/96347d910b359b8008029da5fa69b30000efd6d0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/9339274586ae39d3f925367f988400bf43295c57.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 1660276, "full_name": "Nicolò Magnante", "title": "Founder/CEO", "founder_bio": "ex-BCG, math olympiad winner, scaled two startups to millions in ARR. now working to make the world bug-free. \n\nlife goals:\n1 - build a decacorn\n2 - get italy to top 5 ww gdp\n3 - win an oscar", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nicolo-magnante/", "x_url": "https://x.com/nicolomagnante", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b8bcc3506b03fd18553c21a745fb1ca58549dc3d.jpg" }, { "user_id": 2807293, "full_name": "Arseniy Shishaev", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO of Superlog, previously co-founder & CTO at Bluco (top 40 startup in France in 2025). CS @ École 42 Paris '22, built data pipelines and tooling at Datadog. National olympiad winner in high school, electronics and hardware nerd, coding interview prep & first aid volunteer.", "is_active": true, "linkedin_url": "https://linkedin.com/in/arseniy-shishaev", "x_url": "https://x.com/arseniyswish", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dbbe5e3ee648431c9ed6c3b18cb41e7bfc059958.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101239, "title": "Superlog: The self-installing observability tool that fixes your bugs", "tagline": "A wizard sets up your telemetry every day. An agent investigates incidents and ships mergeable PRs.", "body": "Hey YC! We're Nicolò and Arseniy, co-founders of Superlog ([superlog.sh](https://superlog.sh/)).\n\n**TL;DR:** Superlog is the observability tool you're not supposed to open. A wizard scans your repo and instruments it with OpenTelemetry, and re-runs daily to keep your logs, alerts, and dashboards in sync with your code. When something breaks, an agent investigates with full context and posts one mergeable PR per incident into Slack.\n\n\n\n## **The Problem**\n\nArseniy spent years at Datadog, getting paged during the night to debug production incidents. In our first startups, we tried Sentry, Datadog, Grafana, Dash0, and nothing was good enough. \n\n* **Setup never ends.** Proper telemetry takes days of manual work and breaks the moment you ship new features. Half the dashboards end up empty or outdated.\n* **Alert fatigue is constant.** Sentry floods Slack with duplicates and no context. The Saturday #ops ping is the worst feeling of the week.\n* **The bill climbs.** Datadog invoices keep growing while engineers still spend hours configuring dashboards, chasing three AWS metrics that disagree, and copy-pasting stack traces into Claude at 11pm.\n\n## **Our Solution**\n\n**1. Telemetry that sets itself up.** Tell your agent:\n\n```\nRun npx skills add superloglabs/skills --all and use the skills to install Superlog in this project\n```\n\nThis skill instruments your code with native OTel SDKs: proper semantic conventions, service and environment tagging. We cover all failure modes, endpoint performance, usage per tenant, and LLM/upstream cost (by callsite, tenant, and model). We run observability check-ins that keep adding logs, alerts, and dashboards as your code grows.\n\n**2. An agent that investigates and ships PRs.** Errors get prioritised and grouped into incidents. The agent investigates with full context (logs, traces, metrics, recent deploys) and either produces a short tested PR, or posts its findings and pulls in the engineers who own the system (based on docs, prior investigations, Slack threads). One mergeable PR per incident in Slack. Merge it, ignore it, or open it as a Claude Code/Codex session and tweak.\n\n**3. No alert fatigue.** Our custom eval setup makes sure incident summaries in your #ops channel are dense and correct, with severity and impact upfront. Every LLM-enhanced metric ships with a confidence score, so wrong guesses don't get boosted.\n\nThe telemetry you get is vendor-neutral: you keep all the OTel logs, metrics, and traces we install, even if you choose to switch providers.\n\n## **Where We're Going**\n\nEvery engineering team in the world burns nights and weekends debugging production. We want to delete that loop. Observability should install itself, alert intelligently, and fix what it can.\n\n## **About Us**\n\n* **Nicolò (CEO)** — ex-BCG, math olympiad winner, scaled two startups to millions in ARR, with international enterprise contracts at Bluco (McDonald’s, Volkswagen, Dufry, etc).\n* **Arseniy (CTO)** — coding since 12yo, won school olympiads, worked on high-performance data systems at Datadog and built engineering teams from scratch at Bluco.\n\n![uploaded image](/media/?type=post&id=101239&key=user_uploads/1660276/b630a0c3-d186-4f4c-95c0-6832f7893f47)\n\n## **Our Ask**\n\nWe'd love intros to:\n\n* Engineering leaders drowning in Sentry alerts or Datadog bills\n* Startups that rolled their own observability and want to throw it away\n\n**Try it:** [superlog.sh](https://superlog.sh/)\\\n**Email:** [nicolo@superlog.sh](mailto:nicolo@superlog.sh)", "url": "https://www.ycombinator.com/launches/QKt-superlog-the-self-installing-observability-tool-that-fixes-your-bugs", "votes": 69, "created_at": "2026-05-12T14:37:58.734Z" } ] }, { "id": 31404, "name": "Userlens", "slug": "userlens", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/53aa0a91ae4d729ccd50ea3870fa7f1887a5c006.png", "website": "https://userlens.io", "all_locations": "San Francisco, CA, USA", "long_description": "Companies today are growing faster than ever with smaller teams. The best AI-native companies don’t just need more users - they need more of their users becoming power users. Userlens makes it possible for lean teams to drive product adoption proactively, at scale.\r\n\r\nUserlens is building the AI product adoption expert. Our goal is to help every user at every company get more value from the product they already use.\r\n\r\nMost teams still rely on onboarding flows, lifecycle emails, support docs, and reactive CSM outreach. Userlens breaks that ceiling. Lumi watches how users actually use your product, spots when they’re ready for the next feature, workflow, or habit, and nudges them at exactly the right moment.", "one_liner": "Let agents talk to your customers", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1775157268, "tags": [ "Productivity", "Enterprise Software", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Productivity" ], "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/userlens", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/userlens.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/userlens/", "x_url": "https://x.com/userlens_hq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/53aa0a91ae4d729ccd50ea3870fa7f1887a5c006.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/249b898c48c05bd992f29c71fc3605bdc55c1a7c.png" ], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 3403717, "full_name": "Ankur Dahama", "title": "Founder/CEO", "founder_bio": "Co-founder & Engineer @ Userlens. Before that, founded Wudpecker and grew to 20k+ teams. Worked on engine simulation at Mercedes-AMG and system software for a nuclear reactor.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ankurdahama/", "x_url": "https://x.com/ankur_d", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/341d470307f2228457236d1bb6a6af84fe541196.jpg" }, { "user_id": 3403613, "full_name": "Hai Ta", "title": "Founder", "founder_bio": "Co-founder at Userlens", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anhaita", "x_url": "https://x.com/HaiTa", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/477d26fcebd2e38f867b8e47d0e6a9bf44e8e215.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 99501, "title": "Userlens - AI CSM that never misses churn", "tagline": "Userlens gives you 100x CSMs", "body": "Hey folks 👋\n\nWe’re [Ankur Dahama](https://www.linkedin.com/in/ankurdahama/) and [Hai Ta](https://www.linkedin.com/in/anhaita) - co-founders of [Userlens](https://userlens.io/).\n\n\n\n# TL;DR\n\nUserlens is an AI CSM that monitors every account like your best CSM monitors your top 5. It catches churn months before renewal, builds QBR decks on your playbook, and tells your team exactly what to say.\n\n# Our story\n\nAt our last startup (Wudpecker), we had 25K users, 1,000+ customers, and zero idea who was about to churn. We flew blind. Accounts died quietly, and we only found out at renewal. So we built the tool we wished we had.\n\n# Userlens - Your 100x CSM that prevents churn\n\nUserlens watches every account the way your best CSM watches your top five.\n\nIs a renewal coming up at one of your accounts? Userlens already knows 5 users stopped using your new AI feature last month, the champion changed roles, and there's a frustration thread buried in Slack your team never saw.\n\nBefore your CSM opens the account, the talking points and QBR deck are ready — built on your team's templates and playbook.\n\nIt does this across your entire book of business. Every account gets the attention that your best CSM gives your top 5.\n\n# Why our customers love us:\n\n* **Quartr (10M ARR):** went from **40 accounts per CSM to 200** — with the same team, all while growing from **1M to 10M ARR in a year**. Their NRR has increased by **18% in 3 months** with us.\n* **Smartly (200M ARR):** their performance of CSMs in customer meetings and QBRs has gone absolutely vertical. We’ve predicted (and prevented) **23 6-figure deals** in churn risk already in a month!\n\nConnects to your **Product analytics** (Posthog, Amplitude, Mixpanel, Segment), **CRM** (HubSpot, Salesforce, Attio), **Billing** (Stripe), and Support tools (Intercom, Pylon).\n\n**Setup takes a day**. And we do up to 3 months of historic data import during pilots.\n\nWe lost accounts at our last startup because nobody told us what was happening until it was too late. Userlens makes sure that never happens to you.\n\n**For YC companies — free for 3 months.** We'll get you set up in a day.\n\nBook demo: \n\n**Know CS leaders at a B2B SaaS company?** We'd love a warm intro.", "url": "https://www.ycombinator.com/launches/Psr-userlens-ai-csm-that-never-misses-churn", "votes": 24, "created_at": "2026-04-07T19:18:01.670Z" } ] }, { "id": 31458, "name": "Reason Machines", "slug": "reason-machines", "former_names": [ "EasyClaw", "Ara" ], "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" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Productivity" ], "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/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", "x_url": "https://x.com/reasonmachines", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ac8d1fbd9622030ddfab1cc9a6fac1907350004f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e6483df4542e8fec3bc050b1bc1cf0562df4b238.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/8caf159fde370af7bbd020dd2a597856e67f6aa5.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "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", "x_url": "https://x.com/xadisingh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/39dc609171f30d0579beff3ad7feda1e12ddde45.jpg" }, { "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>).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/svemyh", "x_url": "https://x.com/svemyh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fe32f68ce79ac76c83594b8ea44b35b153f2e132.jpg" } ], "jobs": [ { "id": 102429, "title": "Engineering Internship", "url": "https://www.ycombinator.com/companies/reason-machines/jobs/r1SHuHh-engineering-internship", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "PostgreSQL", "React", "Rust", "TypeScript", "Distributed Systems", "LLMs", "AI Agents" ] } ], "news": [], "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\\\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" } ] }, { "id": 31545, "name": "Modern", "slug": "modern", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bc2a391c24694c5a70f0448e5a56886ff59f5cdc.png", "website": "https://getmodern.ai", "all_locations": "Melbourne, VIC, Australia", "long_description": "Modern is the AI coworker that automates the full order-to-cash journey for global finance teams. ", "one_liner": "Modern automates the entire order-to-cash process for B2B companies.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1775918136, "tags": [ "Finance", "B2B", "Enterprise", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "Australia", "Oceania" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/modern", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/modern.json", "year_founded": 2026, "city": "Melbourne", "country": "AU", "linkedin_url": "https://www.linkedin.com/company/modernhq", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bc2a391c24694c5a70f0448e5a56886ff59f5cdc.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": 1854581, "full_name": "Seb Poole", "title": "Founder/CEO", "founder_bio": "Building the AI-native ServiceNow.\n\nSerial founder, most recently Frankie now Unmind (Disney, Uber, Lendlease, the MLB as customers, 100m+ raised).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/seb-poole/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d9f95185b77eb69716b5e6e6be2b6c680e98740f.jpg" }, { "user_id": 1862452, "full_name": "Aleks Tomovski", "title": "Founder/CTO", "founder_bio": "I've spent 15+ years building developer platforms, starting as part of the core team on Wix Code (now Wix Studio), where we helped empower millions of citizen developers before it was a buzzword. I then scaled a startup through Southeast Asia, before joining Canva where I led their internal developer platform. \n\nI left to co-found Modern with Seb, bringing the same platform-building instincts to IT automation.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/atomovski/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/53bde24f2b11eaa6b7c973874410330dff73bc2e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101078, "title": "Modern: the AI-native IT function", "tagline": "Secure agents that automate help desk, access, on/off-boarding, hardware, security, and procurement in the channels your team already uses", "body": "**TL;DR:**[ Modern](https://getmodern.ai) is consolidating the IT function into a single platform powered by secure agents who understand your business. Help desk, access, hardware, on/off-boarding, security, procurement are automated end-to-end inside the channels your team already uses (Slack, Teams, Email, Voice, WhatsApp, Telegram).\n\nLaunch video:\\\n\n\n**The problem**\n\nWe've spent over a decade buying and implementing clunky IT software (ServiceNow, Jira SM, Ivanti, Zendesk), staffing internal teams, and paying expensive MSPs to keep operations running. Seb previously co-founded Frankie/Unmind, Europe's leading digital mental health company (used by Disney, Uber, Lendlease, Standard Chartered, and the MLB). Aleks has been building developer platforms and scaling engineering teams at Wix and Canva, including Wix's first low-code platform.\n\nToday's ITSM platforms take months to implement, need weeks to design rigid automations, can't improve over time, and have always been hard to leave.\n\nSo we asked: what would this stack look like if it were AI-native from day one?\n\n\\\n**What is Modern**\n\nAn all-in-one secure IT function, Modern splits reasoning from actions which enables the unlock for secure AI in IT.\n\n* Requests are made in the tools where your team works → Slack, Teams, email, voice, WhatsApp, Telegram.\n* Agents reason about each ticket, and the actions they take are separate, code-based workflows derived from your SOPs, written in natural language, or installable skills you approve.\n* Every interaction feeds Modern to better understand your IT operations so automation coverage compounds over time.\n\nModern is for you if:\n\n* The Engineering or Operations teams are handling your IT requests\n* IT tickets pile up faster than your team can clear them\n* Access requests crawl through approval chains (manager → Finance → IT → resolved a week later)\n* On/off-boarding is manual, error-prone, and takes time\n* Compliance and audit prep means stitching logs together from a dozen disconnected tools\n* You’re concerned about security across your growing business\n* Hardware procurement and lifecycle still lives in spreadsheets\n* Your existing ITSM is rigid, expensive, and hasn't gotten smarter since the day you bought it\n* You're paying an MSP for repeatable work that should be automated and running 24/7\n\nWe currently see 80%+ automation across IT team requests.\n\n**If you're without an IT Team**\n\nWe'll get you set up, compliant, and running with a fully outsourced IT function. Book a time → .\n\n**If you're without an IT Service Management platform**\n\nAlternatively we are a completely standalone ITSM platform and would love to help you automate your internal IT/Operational requests. Book a time → .\n\n**If you're on ServiceNow, Jira SM, or any traditional ITSM/ESM**\n\nWe can sit on top of your existing ITSM/ESM platforms and automate 80%+ of the requests that come through these platforms. Live in a day. Book a time → .\n\nConnect with us to follow the journey:\n\n* [https://www.linkedin.com/in/seb-poole](https://www.linkedin.com/in/seb-poole/)\n* [https://www.linkedin.com/in/atomovski](https://www.linkedin.com/in/atomovski/)\n\n**Modern in practice**\n\nModern lives inside the channels your team already uses\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/79e50fc8-c03c-4587-8840-881df31f9c7b)\n\nThey think about the tools and path to resolve the request:\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/27a3b0aa-09c8-4230-a30a-76cc6cb4f99a)\n\nUsing secure deterministic workflows built via SOPs, natural language or suggested workflows derived from your data:\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/e31e6190-aec5-4c69-b588-6ef6ff2de202)\n\nModern builds an understanding of your company’s decisions, actions, personnel and employee requests:\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/b39758ec-3c90-404f-8b4a-538d7c415e1d)\n\nAnd via this understanding and your company’s knowledge base, more suggestions for both simple and complex resolutions are made:\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/b8413f15-525f-4d34-9dfe-23f1b1eb4071)\n\n", "url": "https://www.ycombinator.com/launches/QII-modern-the-ai-native-it-function", "votes": 6, "created_at": "2026-05-12T01:01:57.187Z" } ] }, { "id": 31858, "name": "Torus", "slug": "torus", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/79a2f7b5a083998db3fcc9309c0435a2ccb05016.png", "website": "https://www.usetorus.com", "all_locations": "San Francisco, CA, USA", "long_description": "Torus lets engineering firms and project owners build infrastructure 10x faster to reindustrialize America and the West. \r\n\r\nWe're working with multiple Fortune 500 companies to build critical infrastructure including data centers and critical energy installations. ", "one_liner": "Legora for physical engineering firms", "team_size": 6, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1783552199, "tags": [ "Construction", "Energy", "Enterprise Software", "AI", "Industrial" ], "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, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/torus", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/torus.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/torus-intelligence/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/79a2f7b5a083998db3fcc9309c0435a2ccb05016.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": 554410, "full_name": "Marcus Lima", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of Torus. We build agentic engineering tools for capital project engineering firms.\n\nPreviously founder of Heimdal, direct air carbon capture technology and infrastructure.\n\nOxford and Cambridge grad.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/marcus-lima-144974101/", "x_url": "https://twitter.com/MarcusLimaGN", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/48308bbcb3e74764b7772075c1ed7357f112d2d7.jpg" }, { "user_id": 1208048, "full_name": "Rahul Thayil", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO at Torus (YC S26). \n\nPrev. Founder of Orion - AI threat intelligence and response automation.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rahul-thayil/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d691d142de70dcee7c6c00f5b37675b9753999e4.jpg" } ], "jobs": [ { "id": 105565, "title": "AI Engineer (interested in physical infrastructure)", "url": "https://www.ycombinator.com/companies/torus/jobs/jIERZ3O-ai-engineer-interested-in-physical-infrastructure", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "0.25% - 0.50%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Python", "Rust", "TypeScript", "Torch/PyTorch", "Machine Learning", "CAD Design", "LLMs", "RAG", "AI Agents" ] }, { "id": 105567, "title": "Electrical Engineer ", "url": "https://www.ycombinator.com/companies/torus/jobs/kNWpYEu-electrical-engineer", "location": "San Francisco, CA, US / Houston, TX, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$100K - $200K", "equity_range": "0.25% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 105568, "title": "Physical Infrastructure Engineer (any discipline)", "url": "https://www.ycombinator.com/companies/torus/jobs/7TMYD7B-physical-infrastructure-engineer-any-discipline", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Chemical engineering", "salary_range": "$100K - $200K", "equity_range": "0.25% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "CAD Design", "AI Agents" ] }, { "id": 105570, "title": "Member of Nontechnical Staff (GTM)", "url": "https://www.ycombinator.com/companies/torus/jobs/kBIlCwY-member-of-nontechnical-staff-gtm", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$100K - $150K", "equity_range": "0.05% - 0.10%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Marketing design" ] } ], "news": [], "launches": [ { "id": 114335, "title": "Torus: Legora for the engineers who build power plants, refineries, and data centers", "tagline": "better engineering design for industrial infrastructure", "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&G). Anyone scaling capacity who feels the engineering crunch.", "url": "https://www.ycombinator.com/launches/Tk7-torus-legora-for-the-engineers-who-build-power-plants-refineries-and-data-centers", "votes": 6, "created_at": "2026-09-09T20:00:00.280Z" } ] }, { "id": 32155, "name": "Rex", "slug": "rex-inc", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b14c16514ac7654483b96e54e1bf49a45714e8f6.png", "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": [ "B2B", "Enterprise", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "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/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", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/c5e473e7845a96325de3a6590b9157c80ee928a7.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/242d907a5de4ed9944a88c07e410d6a12acb5cb2.png" ], "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" } ], "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": [] } ], "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\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" } ] }, { "id": 32193, "name": "Floracene", "slug": "floracene", "former_names": [ "TareRx" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4083ec47b697a352249164c76574e273a5fa75d7.png", "website": "https://www.floracene.com/", "all_locations": "New York City, NY, USA", "long_description": "Floracene lets any healthcare operator describe the internal tool they need and deploy it in one click - connected to production data, with read and write access scoped by the user. Think Lovable or Retool, except purpose-built for the needs of healthcare business that has no engineering team.\r\n\r\nThe bottleneck in healthcare isn't building anymore. Anyone can vibecode an 80% solution in an afternoon, custom to their own workflow, with people already on staff. The tool then dies locally on the builder’s computer, because IT (correctly) won't let anyone deploy a tool touching PHI without first-class authentication and permissioning. Our first customer had multiple employees who had each built useful tools and dashboards locally, but couldn’t actually share these with coworkers or connect to their core practice data. Within weeks of implementing Floracene, they were able to consolidate their BI tooling into Floracene and shipped 4 net-new to production.\r\n\r\nA staggering ~$200B is spent on administrative software in healthcare every year in the US. Tens of thousands of those companies still run core operations on spreadsheets, and we're at the top of the first inning of AI adoption.\r\n\r\nAsaph and Jonah met on the hospitals team at Palantir two years ago, and have each spent the last four years in the plumbing of US healthcare: claims, eligibility, and payor contracting. Asaph was an early PM at Garner. Jonah was a founding engineer at Metriport (YC S22) after starting his own fax-automation startup for fertility clinics.", "one_liner": "Vibecode + deploy HIPAA-compliant internal tools, no eng team needed", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1783448694, "tags": [ "Health Tech", "Medical Devices", "Digital Health", "Enterprise Software", "Healthcare IT" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "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/floracene", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/floracene.json", "year_founded": 2026, "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/4083ec47b697a352249164c76574e273a5fa75d7.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/5ccdb13884880d40ad27da646bb9675f961c4c61.png" ], "primary_partner": { "name": "Harshita Arora", "url": "https://www.ycombinator.com/people/harshita-arora" }, "founders": [ { "user_id": 3605405, "full_name": "Asaph Kupferman", "title": "Founder/CEO", "founder_bio": "Founder / CEO at Floracene (YC S26). Previously Hospitals team at Palantir and early employee at Garner Health. \n\nRobotics / Electrical Engineering from Penn. Amateur chef.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aa-kup/", "x_url": "https://x.com/KupfermanAsaph", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0a9703d8fcfaefb7b743105e311c4f6d9cc654b8.jpg" }, { "user_id": 1225540, "full_name": "Jonah Kaye", "title": "Founder/CTO", "founder_bio": "Founder / CTO at Floracene (YC S26). Previously Tech Lead at Palantir (Hospitals) and Founding Engineer at Metriport (YC S22). \n\nCS and Philosophy @ UChicago. Brazilian Jiu Jitsu Purple Belt.", "is_active": true, "linkedin_url": "https://linkedin.com/in/jonah-kaye-875a051b2", "x_url": "https://x.com/JonahKaye2", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/303600cd0aa2a45efd8dee5820b815f081eca32a.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 32195, "name": "RealPact", "slug": "realpact", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0066aaeaa91920faf3f4b4ee35ce9e7c2bc99740.png", "website": "https://realpact.ai", "all_locations": "San Francisco, CA, USA", "long_description": "RealPact builds AI agents that handle the paperwork behind real estate transactions. They find property records like deeds, tax records, permits, parcel data, and MLS information, then use that data to fill out contracts, organize documents, track deadlines, and help brokerages close deals faster.\r\n\r\nWe are starting by automating transactions and will expand into other parts of brokerage operations. Much of the software used across the real estate industry is outdated. With today’s advances in AI, we can build agents that handle this operational work and create modern software around how brokerages actually work.\r\n\r\nWe currently sell to brokerages in New Hampshire and are expanding quickly.", "one_liner": "AI-native OS for Real Estate Brokerages", "team_size": 2, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction -> Housing and Real Estate", "launched_at": 1780455733, "tags": [ "Real Estate", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Real Estate and Construction", "Housing and Real Estate" ], "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/realpact", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/realpact.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/realpact/", "x_url": "http://x.com/RealPact", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0066aaeaa91920faf3f4b4ee35ce9e7c2bc99740.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": 1249471, "full_name": "Ranvir Deshmukh", "title": "Founder/CEO", "founder_bio": "Previously built CourseMe, Dartmouth's AI course advisor used by 90% of students (4,000+ MAU, 1M+ page hits): Acquired.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ranvir-deshmukh-209706199/", "x_url": "https://x.com/ranvirdeshmukh_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/87c1b073d739f5221931f4720738e22cb1ef1df1.jpg" }, { "user_id": 2392871, "full_name": "Erik Peterson", "title": "Founder/CTO", "founder_bio": "Previously built CourseMe, Dartmouth's AI course advisor used by 90% of students (4,000+ MAU, 1M+ page hits).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/erik-peterson-mn/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/df82479ae00a881fd652cb53dc8368ea0d6e27b0.jpg" } ], "jobs": [], "news": [ { "title": "Erik Peterson ’27 and Ranvir Deshmukh ’26 win Magnuson competition with real-estate tech startup - The Dartmouth", "url": "https://www.thedartmouth.com/article/2026/05/erik-peterson-27-and-ranvir-deshmukh-26-win-magnuson-competition-with-real-estate-startup", "date": "Jun 02, 2026" } ], "launches": [ { "id": 109434, "title": "RealPact: AI-native OS for Real Estate Brokerages", "tagline": "Automating real estate transactions from the first conversation to closing.", "body": "Real estate does not have an AI problem. It has an infrastructure problem.\n\nWhile nearly every major industry is using AI to move faster, reduce manual work, and automate operations, real estate agents are still managing some of the largest financial transactions in the world through disconnected software, email threads, repetitive data entry, and paperwork.\n\nAgents should be spending their time winning clients, advising buyers and sellers, and closing deals. Instead, they lose hours gathering property information, filling out the same details across multiple forms, tracking deadlines, and coordinating every party involved in a transaction.\n\nThat is why we are building RealPact.\n\nRealPact is not another tool for completing one form or managing one part of a deal. We are building the intelligent transaction infrastructure for real estate agents and brokerages: a system that can understand a transaction, automate the paperwork, coordinate every party, track every deadline, and carry a deal from the first conversation to closing.\n\nMost real estate software stores the work. RealPact does the work.\\\n\\\n\n\nWe are already working with several major brokerages in New Hampshire and rolling out RealPact across their teams.\n\n“RealPact feels magical. We have never seen anything like it in real estate, and we believe it is going to change the industry for good.”\n\nSpenser Molloy\\\nOwner, NextHome Modern Realty\n\nOur long-term vision is simple: give every real estate agent an intelligent operating system that handles the transaction work behind the scenes, so they can spend more time building relationships, serving clients, and closing deals.", "url": "https://www.ycombinator.com/launches/ST4-realpact-ai-native-os-for-real-estate-brokerages", "votes": 8, "created_at": "2026-08-06T19:56:18.877Z" } ] }, { "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" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "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/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", "x_url": "https://x.com/screenpipe", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/144e7207ec725036f43cc9a6b577a8320151e103.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": 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", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/05f032b3236e73cfbdc174076161cd570a964593.jpg" } ], "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" ] }, { "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": [ "React", "Rust", "TypeScript" ] } ], "news": [], "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\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: ", "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" } ] }, { "id": 32262, "name": "Alkera AI", "slug": "alkera-ai", "former_names": [ "Alkera AI, Inc.", "Alkera AI", "Alkera AI, Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/eecc1a49c35b3a26973c35ce53d1c3f862a058cb.png", "website": "https://alkera.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Alkera is a data engineering/analysis/science agent that works in your IDE or CLI. If you’re tired of agents that produce false, or even dangerous, reports about your data, then Alkera is for you. Our agent is equipped with your data’s history and lineage, your team’s knowledge, and tailored plugins for data apps such as Snowflake and dbt. Simply install and connect your services to begin doing trusted agentic data work. We also offer VPC & on-prem deployment options for when data can't leave your boundary.", "one_liner": "Reliable and safe data engineering and data science agents", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1783697969, "tags": [ "Developer Tools", "Data Science", "Data Engineering", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 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/alkera-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/alkera-ai.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/alkera-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/eecc1a49c35b3a26973c35ce53d1c3f862a058cb.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 3652826, "full_name": "Rick Gao", "title": "Founder/CEO", "founder_bio": "Founder at Alkera AI, Inc. Previously at Verition Fund Management where he built financial models and optimizations for treasury financing. Previous computational biology research at Yale's Gerstein Laboratory. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rgao09", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/515662055ce684fc796921959375d09b477afbfa.jpg" }, { "user_id": 3406186, "full_name": "Tony Li", "title": "Founder/COO", "founder_bio": "Founder at Alkera AI, Inc. Previously Agentic Software Engineer at ByteDance, where he built a Python framework for multi-agent AI workflows and deployed production bots used across company teams. Former Quantitative Developer at Carthage Capital. BS in Computer Science and Mathematics from Yale.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tonyli4722", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9e00bcde4966ff8eb6ea44e6847dce0d34f0c0b5.jpg" }, { "user_id": 3673412, "full_name": "Andrew Tran", "title": "Founder/CTO", "founder_bio": "Cofounder at Alkera AI. Prev SWE intern at Ramp and HRT, working closely with data teams. CS B.S/M.S from Yale. Prev ML research at Yale's Gerstein Lab developing biology reasoning models.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/andrewtran-cs/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fbb518656ab4ebfa5220bc5c8406b2716cf75c60.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 106204, "title": "Alkera - The data agent that you can trust", "tagline": "Alkera is an agent that replaces your coding agent to reliably and safely perform real data engineering/analysis/science work.", "body": "**TL;DR:** Data teams adopting AI agents want speed, but one wrong step can quietly ripple through your dbt models, dashboards, and business decisions before anyone notices. [Alkera](https://alkera.ai) **is an AI data agent for data engineers/analysts/scientists or anyone who wants to gather data insights that actually understands your data stack** (column-level lineage, graph-based planning, and a living knowledge base), so it ships data work you can trust. It's **#1 on UC Berkeley's [DataAgentBench](https://ucbepic.github.io/DataAgentBench/),** which tests complex, data-oriented tasks.\n\n\n\nCoding agents can write data code that runs. **For data engineering, knowing it's correct is the hard part.** This is knowing that a transformation didn't quietly redefine a column three models downstream and corrupt the revenue dashboard that the exec team checks every Monday. **For data analysis and data science, beyond data access and lineage problems, coding agents struggle with highly parallel work spread across multiple machines.** When interacting with remote computing nodes, they do so only via fragile chains of SSH commands. Long processing and training runs have you more as a babysitter than a scientist.\n\n**Alkera is a data agent that works natively across your entire data stack, with the context and guardrails coding agents lack.** Every change it makes to a query, transformation, model, or notebook is backed by a real understanding of your pipeline.\n\nIt's **#1 on UC Berkeley's DataAgentBench,** which tests complex, data-oriented tasks. You reach it through an IDE extension (VSCode, Cursor), a CLI, or the browser — wherever you already work.\n\nWhat makes it different:\n\n* **Column-level lineage across your data stack.** Trace a single row from Snowflake, through your dbt models, to your Hex dashboard. Before the agent changes anything, it maps the _blast radius_ — every downstream table and dashboard the change would touch.\n* **Graph-based planning with flexible computation.** Plan complex data tasks with parallel agents from a quick analysis to days-long modeling experiments to run across your machine and remote CPU/GPU nodes.\n* **A living knowledge base.** Alkera learns your schema docs, trusted queries, and the tribal conventions that never make it into documentation — written by both agents and humans, with humans verifying what the agent adds.\n* **Production protection.** Fine-grained permissions over every tool, including bash and SQL. Block a seemingly innocent SQL query with a dangerous UPDATE hidden away in a subexpression. Enforce OAuth to connect your warehouses to maintain existing data permissions.\n\n# **Try it**\n\nDownload Alkera at or read the docs at . For data engineering, point it at your stack and **watch it trace a change through your pipeline**, lighting up everything downstream. For data analysis and data science, have it **spin up parallel research agents** to explore your data. Reach out to [contact@alkera.ai](mailto:contact@alkera.ai) to see how we can tailor Alkera to your specific data apps/tools and computing environment.\n\n# **Our team**\n\n* Andrew Tran studied CS at Yale. At Yale, he trained LLMs to reason over multi-modal biological data. At Ramp and Hudson River Trading, he worked closely with data teams to build out ergonomic tooling for data engineers and researchers.\n* Rick Gao studied CS at Yale. He was previously at Verition Fund Management, where he worked with internal data teams and counterparties to develop ingestion pipelines and internal financial models.\n* Tony Li studied CS and Math at Yale. During his time at Carthage Capital and ByteDance, he worked with data engineering teams to build data pipelines, data analysis, and agentic tooling.\n\n# **Our ask**\n\nIf you:\n\n* perform data engineering work on production pipelines with tools like dbt and Apache Airflow\n* perform data analysis/data science work in Python/R and with tools like Jupyter notebooks\n* manage a data team – engineers, analysts, or scientists\n* want to enable non-data experts to create data insights\n\nCheck out and reach out at [contact@alkera.ai](mailto:contact@alkera.ai). We’d love to showcase a demo, learn more about your data teams’ pain points, and share more about how Alkera can help supercharge them.", "url": "https://www.ycombinator.com/launches/Rcy-alkera-the-data-agent-that-you-can-trust", "votes": 12, "created_at": "2026-07-17T18:50:58.787Z" } ] }, { "id": 32621, "name": "Aktoria Robotics", "slug": "aktoria-robotics", "former_names": [ "Phi Robotics" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/87a10d62adb927072657a9be3281af92a78ab9c6.png", "website": "https://aktoria.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Enabling robot deployment & autonomy ", "one_liner": "Human as API for robots", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1784175637, "tags": [ "Robotics", "Enterprise Software" ], "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/aktoria-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/aktoria-robotics.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/aktoria-robotics", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/87a10d62adb927072657a9be3281af92a78ab9c6.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": 3108880, "full_name": "Jaskaran Singh Walia", "title": "Founder", "founder_bio": "Ex - Researcher @ (Microsoft, MIT, CMU, Cambridge, NUS)\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jaskaranwalia", "x_url": "https://x.com/karanwxliaa", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bb7e6a357374ed42415aee6999d0568b1d2dc6ce.jpg" }, { "user_id": 1125677, "full_name": "Shreenabh Agrawal", "title": "Founder", "founder_bio": "Robotics grad @ CMU. Physics & Quantum Technology @ IISc Bangalore.\nIndia's Prime Minister awardee, highest civilian honor for young achievers.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shreenabh/", "x_url": "https://x.com/ShreenabhA", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/64c61d6ba30010f5699e5b194f9a5ff2aa45b8ef.jpg" } ], "jobs": [ { "id": 109688, "title": "Robot Learning Researcher (VLA / Foundation Models)", "url": "https://www.ycombinator.com/companies/aktoria-robotics/jobs/WlROHB1-robot-learning-researcher-vla-foundation-models", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Science", "role_type": "Research", "salary_range": "$450K - $600K", "equity_range": "1.00% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 116148, "title": "HR Manager (India)", "url": "https://www.ycombinator.com/companies/aktoria-robotics/jobs/sIDJZkE-hr-manager-india", "location": "Noida, UP, IN / Noida, Uttar Pradesh, IN", "type": "Full-time", "role": "Recruiting & HR", "role_type": "Operations", "salary_range": "₹700K - ₹1.4M INR", "equity_range": "", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 109426, "title": "Aktoria Robotics is the teleoperation layer to speed up robot deployments", "tagline": "A 24-hour global network of trained operators, powered by our low-latency teleop software.", "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).", "url": "https://www.ycombinator.com/launches/SSw-aktoria-robotics-is-the-teleoperation-layer-to-speed-up-robot-deployments", "votes": 6, "created_at": "2026-08-06T15:00:00.066Z" } ] }, { "id": 32625, "name": "Qlo", "slug": "qlo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6bdf97a8fbe4a8a51a745ce366d9c6c2bfc6d75c.png", "website": "https://www.getqlo.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Qlo builds AI agents to run commercial insurance underwriting. We start by fully automating the operational work around risk decisions, become the system of record, and earn autonomy workflow by workflow toward the autonomous AI underwriter.\r\n\r\nWe’re rebuilding underwriting infrastructure from the ground up so human underwriters and AI agents can share the same accounts, rules, documents, permissions, and workflow state. \r\n\r\nWe believe every commercial insurance program will eventually be built and operated end to end by AI agents on Qlo.", "one_liner": "Legora for commercial insurance carriers", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1786080312, "tags": [ "Insurance", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 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/qlo", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/qlo.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/getqlo/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6bdf97a8fbe4a8a51a745ce366d9c6c2bfc6d75c.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": 1640725, "full_name": "Ryan Hu", "title": "Founder/CEO", "founder_bio": "Founder of Qlo. Previously bootstrapped a B2B product studio to $500K ARR and built a commercial insurance marketplace that received an acquisition offer from a public insurer. Moved from Taiwan to build in the U.S. Studied Electrical Engineering at National Taiwan University before dropping out.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chenshuohu/", "x_url": "https://x.com/hcsfox", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/088d399ab10b6ca1a2786d60505cd551af8dd69a.jpg" }, { "user_id": 3743083, "full_name": "Liv Huang", "title": "Founder", "founder_bio": "Co-Founder at Qlo. Previously Cloud Engineer at CuboAi, building scalable backend infrastructure and driving cross-functional AI adoption. Self-taught engineer with an academic background in Counseling and Educational Psychology.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/livhg", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/78b8b2063eb5fea134f67a8cc93fc8d3c4f45897.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 111422, "title": "Qlo - AI agents that run commercial underwriting", "tagline": "The underwriting system of record for the AI era", "body": "**TL;DR:** Qlo uses AI agents to run commercial underwriting operations from submission to renewal. We rebuilt the underlying system so agents can operate across the entire workflow, not sit beside another legacy system. One enterprise client signed a two-year contract, went live in May, and has since tripled weekly primary quote throughput. The end state is autonomous underwriting that follows each company’s underwriting judgment and stays within the carrier’s appetite.\n\nToday, we’re launching the **Qlo Inbox Agent**.\n\n\n\n### The Problem\n\nMore than $110B in commercial insurance premium flows through U.S. MGAs every year. Much of the work still begins with an email from a broker.\n\nCommercial underwriters can spend up to 80% of their day in the inbox, chasing missing applications, loss runs, and other submission documents. Even a submission with roughly $50K in annual premium can take 48 hours to turn into a quote.\n\nOnce the information arrives, teams still need to prepare the data, run the rater, and assemble the right endorsements and quote variants.\n\nWhen volume grows, teams add headcount. But underwriting judgment is hard to train and keep consistent. Costs rise, good submissions remain untouched, and inconsistent decisions can hurt loss ratios.\n\nMore premium left on the table, now with more people on payroll.\n\n### What We Built\n\nQlo runs the commercial underwriting workflow from submission to renewal. Specialized agents handle each operational step, while supervisor agents coordinate the work and communicate with the underwriter.\n\nThe Inbox Agent is one of those supervisors. An underwriter can message it from a phone like a teammate. It understands the instruction, calls the right subagents, and completes the work inside Qlo.\n\n**The underwriter makes the call. The agents make it happen.**\n\nOne of those subagents is the Rater Converter we launched on Bookface. It turns an existing rating spreadsheet into a validated digital worksheet the rest of the workflow can use.\n\nThis is what agent-compatible means to us: agents understand the workflow, have the right context, and can act across the system. Today, they execute the underwriter’s decisions. The end state is autonomous underwriting within each company’s judgment, appetite, and controls.\n\n**The party has begun. Let the agents dance on top of Qlo.**\n\nGuidewire and Vertafore helped define the last era of commercial insurance software. We’re building Qlo to define the next one.\n\n### Why Us\n\nBefore Qlo, Ryan spent 2.5 years building a commercial insurance marketplace and saw carrier-side systems up close. The company received acquisition terms from a public insurance company, and two founders who were customers there are now advisors to Qlo.\n\nLiv previously led backend at a Taiwanese baby-monitor company generating roughly $15M in annual revenue. Ryan and Liv had already built together before starting Qlo.\n\nWe build alongside experienced underwriters who want to help define how commercial insurance will operate in the AI era.\n\n### Our Ask\n\nWe’re looking for:\n\n* **Introductions to commercial MGAs and program administrators**, especially submission-heavy programs with complex rating files or underwriting teams hitting the limits of their current systems.\n* **Introductions to investors who understand commercial insurance** and see the same path toward autonomous underwriting.\n* **Insurance operators with strong opinions about the future of underwriting**. Even if you’re not looking for a new system, we’d still like to learn how your business works.\n\nIf you run an MGA or program, want to build with us, or see the same future as an investor, email us at [founders@getqlo.com](mailto:founders@getqlo.com).\n\nCommercial insurance moves slowly because **distribution beats architecture**.\n\nBut distribution eventually stops scaling when the architecture underneath it no longer works.\n\nThe system that solves the real problem will be adopted. Time will tell.\n\nWe’ll keep building.\n\n![uploaded image](/media/?type=post&id=111422&key=user_uploads/1640725/d836b808-6597-42f6-b85c-a1aed3413267)\n\n", "url": "https://www.ycombinator.com/launches/Sz8-qlo-ai-agents-that-run-commercial-underwriting", "votes": 35, "created_at": "2026-08-20T15:00:00.451Z" } ] }, { "id": 32753, "name": "Ekho Labs", "slug": "ekho-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8de6c5bf64155f5dfde0293d76560b38b3e3b46f.png", "website": "https://ekholabs.com/", "all_locations": "New York City, NY, USA", "long_description": "Ekho predicts the wars, strikes and tariffs that break global shipping, and tells freight teams which shipments are exposed and what to do about them. Predicting escalation is what our team did for eight years before this - now we bring the same engine to logistics.", "one_liner": "World Model for Freight", "team_size": 0, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1785301746, "tags": [ "Hard Tech", "SaaS", "Supply Chain", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "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/ekho-labs", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/ekho-labs.json", "year_founded": null, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ekho-labs", "x_url": "https://x.com/ekholabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8de6c5bf64155f5dfde0293d76560b38b3e3b46f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 3683165, "full_name": "Alina Park", "title": "Founder/CEO", "founder_bio": "Founder at Ekho Labs. Previously Founding Engineer at Inca Digital, where she built a DARPA-funded AML platform, deployed across DoD, CFTC, PayPal, and more. \n\nAwarded Innovator of the Year by CFTC, prev. built Yachay AI, achieving state-of-the-art text-based geolocation (30km median error, 80+ languages). \n\nGuest speaker at Columbia MBA and Stanford Engineering.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alinapark/", "x_url": "https://x.com/olenyapark", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9565da5bd46340e43022e967896174e95bfc8264.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 109994, "title": "Ekho Labs - Forecasting Supply Chain Disruptions", "tagline": "Decision Engine for Supply Chains", "body": "**TLDR:**\n\n**Companies with global supply chains lose money to every small disruption. Ekho makes sure they don't.**\n\n**Problem:**\n\nManufacturing means choosing suppliers, booking transport, and keeping pulse on new tariffs - to make sure your production is fine. Companies tend to find out about disruptions when things break and cost them millions.\n\n**Solution:**\n\nEkho customers get an early warning AND optimal solution 1-3 weeks ahead of the events. So ships keep moving, production lines keep running, and customer promises get kept.\n\nI used to build signal detection systems for DARPA. Now that same type of engine watches 1M+ sources for the industry our phones, food, and clothes depend on - Supply Chains. What you get:\n\n* **Freight forwarders:** container-level forecasts. We’ll tell you what happens, when, and what to do while freight is still available and cheap. Your clients hear about the disruption from you, not from the news.\n* **Manufacturers and retailers:** you know which inbound materials will miss the production run, launch, or retailer order - and the cheapest fix, from expediting to switching suppliers or lanes.\n\n**Proof we’re cool:**\n\n1. When the Strait of Hormuz closed in February, we correctly predicted ceasefire dates, duration, and next steps in the war ()\n2. We already work with large global companies\n\n**Ask**\n\nIntro us to Supply Chains VPs/COO at a retail (Target, Walmart, etc.), manufacturing (Fashion, Electronics, Food, etc.), or Freight Forwarding companies.\n\n**Email:** [alina@ekholabs.com](mailto:alina@ekholabs.com)\n\n**Website:** \n\nMy hilarious twitter: ", "url": "https://www.ycombinator.com/launches/Sc6-ekho-labs-forecasting-supply-chain-disruptions", "votes": 6, "created_at": "2026-08-11T21:00:00.268Z" } ] }, { "id": 33023, "name": "Levocred AI", "slug": "levocred-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4211252c17df7b0a89dc9c36ce49996bef59474d.png", "website": "https://levocred.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Levocred AI build AI employees for lenders including credit funds, fintechs, credit unions & banks to automate operations like servicing/collections, underwriting, back-office tasks etc. ", "one_liner": "AI Workforce for lenders", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1782022398, "tags": [ "Finance", "B2B", "Enterprise Software" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "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/levocred-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/levocred-ai.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/levocred-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4211252c17df7b0a89dc9c36ce49996bef59474d.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": 3179062, "full_name": "Mohit Gupta", "title": "Founder/CEO", "founder_bio": "Employee #1 at a credit fund that went from $10M to $1B AUM. Managed $200M at 23, evaluated $100B of loans. Ex Morgan Stanley fixed income. CS @ IIT Bombay, Finance @ UC Berkeley. Now building the Bloomberg of loans.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/guptamohit2299/", "x_url": "https://x.com/gupta_m0hit", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3ec48e4ead1bd6681f312cacd75cb1ddb691cd74.jpg" }, { "user_id": 1978755, "full_name": "Saksham Gupta", "title": "Founder/CTO", "founder_bio": "Founding engineer at a credit fund, where he built and scaled the trading and data infrastructure as the fund grew from $150M to $1B+ in AUM. EE @ IIT Kanpur", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gupsak", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d005e1efc44e74b6946d4413ff8c73a055def3b8.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 109810, "title": "Levocred: AI platform for credit funds, fintechs and banks", "tagline": "AI for credit funds, fintechs and banks", "body": "---\n\n**TLDR:** Levocred AI (YC S26) is an AI-native platform for credit funds, fintechs and banks to automate workflows like back-office tasks, portfolio monitoring, compliance and underwriting. Live across multiple credit teams, running \\~$1Bn in receivables through the platform.\n\n\\*\\*Video:\\*\\*\\\n\n\nThe winning teams will scale with token consumption, not headcount. Try it today: \n\n**The problem**\n\nCredit teams run on data scattered across 5-6 tools (CRM, LMS, data rooms, servicer reports) and endless spreadsheets. So highly-paid analysts become data janitors, copy-pasting between systems and rebuilding the same models — instead of the real job: underwriting and managing risk.\n\nIt's the same story across all of an analyst’s workflows (like new deals, monitoring, reporting, workouts). One example: to borrow against a credit facility (it’s like a credit card for fintechs with a limit typically in the $100Ms ), a team produces and verifies compliance certificates by hand. That's hours of Excel every time, so they draw less often than they should, leaving millions on the table.\n\n**What is Levocred?**\n\nLevocred is an AI employee for your credit team. It plugs into your loan tapes, credit agreements, servicer reports, and bank feeds, learns how you work, and runs the workflows your analysts do by hand today.\n\n* Analyzes new deals and drafts the investment memos\n* Monitors the portfolio, marks valuations, and answers questions in Slack (\"what's our exposure to X?\")\n* Produces and checks compliance certificates, and handles covenant and LP reporting\n\nWhy it works when nothing else has:\n\n* **It's AI-native, not a rules engine.** Older tools only work if you hand-code every rule, so they break on messy, real-world data. Levocred's agents read your actual documents and tapes and reason across them. We already run consumer, fintech, litigation finance, and MCA through the same engine.\n* **You stay in control** with full auditability and no waiting on a vendor's engineers\n* **It compounds.** Every document you load makes it smarter about your book. That data moat is yours. It’s why usage only grows.\n\nThe result: a draw that took a day of Excel takes minutes, monitoring runs continuously instead of monthly, and your team spends its time on judgment, not grunt work.\n\n**Team**\n\n* **Mohit Gupta (CEO)**: Studied CS at IIT Bombay (ranked 53rd of 1.2M in the JEE) and Finance at UC Berkeley. Founding engineer at a credit hedge fund, where he later managed a $200M book.\n* **Saksham (CTO)**: Previously Software Engineer at a credit fund, where he built and scaled infrastructure as the fund grew. Electrical & Electronics from IIT Kanpur", "url": "https://www.ycombinator.com/launches/SZ8-levocred-ai-platform-for-credit-funds-fintechs-and-banks", "votes": 5, "created_at": "2026-08-11T15:30:00.232Z" } ] }, { "id": 33314, "name": "Avoca Systems", "slug": "avoca-systems", "former_names": [ "Avoca" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/555346995ae2b6c3163f5ec605c10e5d27db2e8d.png", "website": "https://avocasystems.com", "all_locations": "San Francisco, CA, USA", "long_description": "Avoca is the AI patient access platform built for radiology. It integrates with a network’s existing systems and operational knowledge to automate calls, online scheduling, faxes, e-referrals and patient communications, from referral through to results and follow-up. Unlike generic scheduling tools, Avoca understands the clinical, operational and resource constraints behind every radiology booking, helping providers capture more demand, reduce administrative work and fill more scan capacity.", "one_liner": "The AI operating system for radiology networks", "team_size": 6, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1784843716, "tags": [ "Healthcare", "Enterprise Software", "Healthcare IT" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "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/avoca-systems", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/avoca-systems.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/avocasystems/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/555346995ae2b6c3163f5ec605c10e5d27db2e8d.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": 2570497, "full_name": "Max Shand", "title": "Founder/CEO", "founder_bio": "Co-founder of Avoca, the operating system for outpatient radiology networks. Previously, exited founder of Serenade, innovative music merchandise platform for artists like Oasis, Yungblud and Lewis Capaldi. Formerly, first employee at Afterpay, helping scale from idea to $20BN exit to Block. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/max-shand-700a3ab5/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dd4429ce745d577782dcef4fdc9b7faadb2547ee.jpg" }, { "user_id": 3763127, "full_name": "Campbell Mercer-Butcher", "title": "Founder/CTO", "founder_bio": "Co-founder at Avoca Systems (YC S26). Principal engineer at Honey Insurance, Macquarie Bank, and Ailo. Built Macquarie's robo-advice platform, used by 1,000+ financial advisors, and automated claims processing at Honey, replacing manual review with instant decisions.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/campbell-mercer-butcher", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4e127b66cb6e5c86db96d2e2ba0a173654e316e6.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 107202, "title": "Avoca Systems: AI-powered radiology scheduling and communications", "tagline": "Automating radiology scheduling and patient communications", "body": "Hey everyone 👋\n\nWe’re Max Shand and Campbell Mercer, co-founders of Avoca Systems.\n\nTL;DR: Avoca automates patient scheduling and communications for radiology groups. Our radiology-specific AI handles calls, online scheduling, faxes and e-referrals, guiding patients from referral and booking through to results and follow-up. We’re already live across more than 250 clinics, including networks operating 150+ locations.\n\n\n\n**What it does**\n\nRadiology scheduling is unusually complex. A valid appointment can depend on the modality, body region, contrast requirements, patient history, preparation instructions, equipment availability, staff qualifications and referring-provider details.\n\nThese rules are fragmented across legacy systems, spreadsheets and the tacit knowledge of experienced receptionists. Generic voice and scheduling tools struggle to bring them together.\n\nAvoca integrates with a radiology network’s existing systems and turns its workflows and operational knowledge into one automation layer:\n\n* **AI calls:** Answers inbound calls and runs outbound campaigns for bookings, rescheduling, cancellations, preparation questions and general enquiries.\n* **Online scheduling:** Lets patients upload their referral, complete the necessary clinical and safety questions, and find an appropriate appointment in real time.\n* **Fax and e-referral automation:** Ingests and interprets referrals, identifies missing information and contacts patients to complete their booking.\n* **Operational intelligence:** Encodes each network’s booking rules, rosters, staff capabilities, preferences and tacit knowledge so Avoca can safely fill available scanner capacity.\n* **Patient communications:** Guides patients through preparation, intake, reminders, results and follow-up using voice, text and email.\n\n**Why this matters**\n\nUp to 30% of calls into radiology centres go unanswered as patients wait on hold. Referrals arrive through phones, websites, faxes and electronic systems, leaving staff to manually interpret documents, contact patients and coordinate appointments across multiple systems.\n\nAt the same time, radiology providers face staff shortages, rising operating costs and reimbursement pressure. Missed calls and unprocessed referrals mean patients wait longer while valuable scanner capacity goes unfilled.\n\nAvoca helps networks capture more patient demand, reduce administrative work and complete more scans using their existing clinics, equipment and clinical systems.\n\n**Traction**\n\n* Partnered with 250+ clinics, including several of Australia’s largest radiology networks\n* Reduced call abandonment from approximately 30% to 2%\n* Patient satisfaction averaging 4.6/5\n* More than 80% booking conversion for eligible patient calls in major deployments\n* Integrated with leading radiology and healthcare systems, including Visage, Karisma, Comrad, Epic, Oracle Health and eClinicalWorks\n* Now expanding into the United States\n\n**Why we’re building this**\n\nI (Max) was the first employee at Afterpay and later founded and sold Serenade. Cam was previously a principal engineer at Honey Insurance and Macquarie. Across those experiences, we saw how much better an industry can operate when complex workflows are turned into simple, intuitive products.\n\nHealthcare is a chaotic mess of work that falls between systems: calls that go unanswered, referrals that sit in fax queues and operational knowledge that exists only in the heads of experienced staff.\n\nWe started with radiology because the scheduling complexity is exceptionally high and the consolidation of radiology clinics into large groups allowed us to focus our GTM efforts on just a few influential stakeholders who acutely feel the pain we’re solving for.\n\n**Our big** **ask**\n\n* Any introduction to a radiology network or health system chief executive (CEO, CIO, COO, CDO, CRO - even the new brand of CAIO - Chief AI Officer) would be hugely appreciated. We’re new to the US and eager to meet leaders tackling the patient access and scheduling challenges we’re solving.\n\nFinally, if you operate a radiology network - or know someone who does - we’d love to hear from you. Please reply here or reach us at [hello@avocasystems.com](mailto:hello@avocasystems.com).\n\n![uploaded image](/media/?type=post&id=107202&key=user_uploads/2570497/a75203b9-8ce9-44cc-a0dd-b456dafd0525)\n\n", "url": "https://www.ycombinator.com/launches/Rt4-avoca-systems-ai-powered-radiology-scheduling-and-communications", "votes": 4, "created_at": "2026-07-28T22:04:43.714Z" } ] }, { "id": 33573, "name": "hardware intelligence", "slug": "hardware-intelligence", "former_names": [ "Viki", "hi", "Hardware Intelligence" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3c2193e7412febe2e812491e1a73617bb09eb897.png", "website": "https://hardwareintelligence.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Hardware Intelligence makes chip design tools that cut simulation and debugging time by an order of magnitude. When a chip test fails, engineers need a recording of every internal signal - a waveform. We’ve developed WaveZip, which captures waveforms 500x smaller with 200x less overhead, and Wave, which beats frontier models on industry chip debugging benchmarks. We’re Rishov Sarkar (Georgia Tech Ph.D. in chip simulation) and Athreya Anand (ex-Google, M.S. ML/AI), YC S26. https://hardwareintelligence.ai", "one_liner": "AI tools for the chips your AI runs on", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1784052551, "tags": [ "Developer Tools", "Hardware", "Enterprise Software", "Semiconductors", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 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/hardware-intelligence", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/hardware-intelligence.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hardwareintelligence/", "x_url": "https://x.com/hwintelligence", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3c2193e7412febe2e812491e1a73617bb09eb897.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/84867b76e94b5d17051762179fca04132eaaa7be.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/c8cf823528ccb123bf55a70cc8e1a177803988de.png" ], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 551607, "full_name": "Athreya Anand", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of Hardware Intelligence. Athreya was a tech lead at Google where he led AI efforts across orgs from agentic workflow management tools to prediction models for Google Ventures. He has a Master's from Georgia Tech in Machine Learning and A.I., with technical expertise in agentic tools and chip design through his time at Google, AWS Inferentia, and Tesla. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/athreyaanand", "x_url": "https://x.com/athreyaanand", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d015fb0c86a6bdae44f5b5c36e2b3d18f086454a.jpg" }, { "user_id": 2565323, "full_name": "Rishov Sarkar", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO at Hardware Intelligence. Rishov graduated with his PhD in Electrical & Computer Engineering from Georgia Tech with six published first-author/co-first-author conference papers, including one best paper runner-up. He also developed simulators for AMD's AI Engine accelerator and worked on LLVM-based compilation flows at Siemens EDA. He earned his MS and BS in Computer Engineering from Georgia Tech.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rishovsarkar/", "x_url": "https://twitter.com/ArkaneMoose", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d7666af58a4a49fbf9b8355cdffcb981f5df6505.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 107661, "title": "hardware intelligence: AI tools for the chips your AI runs on", "tagline": "Bringing the $20B chip tooling industry into this decade", "body": "---\n\n---\n\n**Update:** We’ve just launched our second tool, WaveZip - a genuine breakthrough method for capturing and storing waveforms. Read more at \n\n---\n\n---\n\n\n\n—\n\nWe’re Athreya and Rishov - the founders of [@hardware intelligence](https://bookface.ycombinator.com/company/33573). We’re here to pick a fight with the $20B industry whose debuggers suck and won’t open until an ancient license server gives it permission.\n\n**TL;DR: Our first product, Wave, is a SOTA waveform debugger that lives completely in the terminal, built for the agentic era.** An agent can jump you to the moment a design breaks, drag in waveforms and manipulate them, trace bad signals to its source and even prove its fix against the simulation - all visual. We allow teams to build better chips in less time.\n\n**The quick ask:** If you or anyone you know builds or verifies chips (ASICs/FPGAs), please email us! We would love to talk :)\n\n\n\n❌ **The Problem**\n\nThe AI boom is a chip boom - more companies and teams than ever are designing silicon. However, the reality is hardware is not software: you can’t patch a chip after it ships. A bug that reaches manufacturing can be a nine-figure mistake. That’s why **companies spend 70% of the entire chip design process just on verification**.\n\nHardware verification engineers run thousands of simulated tests first on their code (simulation) which typically can take **hours to days**. If one of these tests fail, debugging means reading a waveform - a log of every signal, millions of ticks long, hiding the tick where a value went wrong. It’s literally a needle in a haystack… a big haystack. It’s common for these waveform files to be several gigabytes large. **Finding this needle is the single largest activity in verification.**\n\n**The current tools are dinosaurs.** 20-year-old GUIs behind license servers whose seats run six figures a year sold by our favorite incumbents: Synopsys, Cadence, and Siemens. Free tools are even worse.\n\n![uploaded image](/media/?type=post&id=107661&key=user_uploads/551607/fd100b13-f0dd-45f0-8ee4-395edf96fcae)\n\nYes. This is from 2026.\n\nSoftware engineers got coding agents. Chip engineers got a queue for a license and whatever this is.\n\n👋 **What Wave actually does**\n\n![uploaded image](/media/?type=post&id=107661&key=user_uploads/551607/a75818b0-b001-466b-9586-705d26deb5f9)\n\nWave is the first of its kind! **A fully terminal-native waveform debugger with a verification agent built in.** Wave opens files before Verdi, the industry-standard viewer, finishes its license check. Let’s do a quick dive!\n\n![uploaded image](/media/?type=post&id=107661&key=user_uploads/551607/ac7e5c75-8abb-4a6d-881f-a2a9b883a8b3)\n\n**Why the terminal?** Surprisingly, most hardware engineers are terminal power users - typically doing all their coding in Vim. We wanted to meet them where they are and make our product extremely intuitive to use - we even employ Vim bindings across the interface.\n\n![uploaded image](/media/?type=post&id=107661&key=user_uploads/551607/d4063fbc-2f57-4b5c-a421-bfaa697433d6)\n\n**Ask in plain english.** _Why is a wave x at 12.4us?_ The agent will pull in signals, act on them and trace the root cause. Everything happens in front of your eyes.\n\n![uploaded image](/media/?type=post&id=107661&key=user_uploads/551607/8f37dd5c-22f0-4271-b665-a096c5dbfbd2)\n\n**Pick your fix and see it.** Wave will propose different approaches with tradeoffs. The definition of “best” in hardware design depends on the use case. Maybe you want to optimize for performance? Maybe for power? Pick the one for you! Wave re-simulates and re-reads the new waveform. See a diff of how the waveform changed and a visual indication of where the fix was implemented.\n\n![uploaded image](/media/?type=post&id=107661&key=user_uploads/551607/b0875bc9-fb55-4275-8c7e-11f926bc597d)\n\nNow watch it fix a bug end to end with Rishov!\n\n\n\n🙏 **Asks & Offers**\n\nIf you design chips or lead a team, email us! We’d love to work with you and speed up your RTL development.\n\nKnow someone who does? Email us!\n\nJust want to chat about hardware? **EMAIL US!!**\n\n👬 **The Team**\n\nWe met in our freshman dorm at Georgia Tech nearly a decade ago! We became best friends and roommates for all four years of college - after, Athreya went to NYC to work at Google and Rishov stayed to do his PhD. We promised each other that once we’re free, that we’ll go all-in and work on something we’re passionate about together. Turns out, Rishov’s deep PhD thesis on chip simulation and compilers was the perfect spark.\n\nToday we announce our company and are roommates once again ❤️\n\n![uploaded image](/media/?type=post&id=107661&key=user_uploads/551607/eef30a82-c606-494a-a093-3649920c7857)\n\n—\n\nSay hi 👋 [hi@hardwareintelligence.ai](mailto:hi@hardwareintelligence.ai) · [hardwareintelligence.ai](http://hardwareintelligence.ai)\n\n[@Athreya Anand](https://bookface.ycombinator.com/user/551607) · [athreya@hardwareintelligence.ai](mailto:athreya@hardwareintelligence.ai)\n\n[@Rishov Sarkar](https://bookface.ycombinator.com/user/2565323) · [rishov@hardwareintelligence.ai](mailto:rishov@hardwareintelligence.ai)\n\nP.S. Wave is just the start 👀 We got some super cool things coming to close the loop of hardware engineering. ", "url": "https://www.ycombinator.com/launches/S0T-hardware-intelligence-ai-tools-for-the-chips-your-ai-runs-on", "votes": 50, "created_at": "2026-07-27T16:00:24.675Z" } ] }, { "id": 33969, "name": "OpenTag", "slug": "opentag", "former_names": [ "Gini Agent", "Gini", "OpenTag", "Open Tag" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c893158d06fb0a2865c30711a691fd486b8a7dcf.png", "website": "https://www.tryopentag.com/", "all_locations": "San Francisco, CA, USA", "long_description": "OpenTag is an AI coworker in your Slack with full context on your company. It answers questions and takes real work off your plate. It also keeps your wiki up to date automatically, so knowledge never goes stale.", "one_liner": "Model Agnostic AI coworker in Slack", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1787093671, "tags": [ "AIOps", "B2B", "Workflow Automation", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "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/opentag", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/opentag.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/109881466", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c893158d06fb0a2865c30711a691fd486b8a7dcf.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/790aa3ec5de0bba9ece0a6519e8daba6f10a2cff.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 802295, "full_name": "Tony Kam", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO at OpenTag. Previously at Tesla and founded Lilac Labs (S24). Studied EECS at Berkeley.", "is_active": true, "linkedin_url": "https://linkedin.com/in/tonyshekkam", "x_url": "https://x.com/tonykamshek", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/79ba45d01b5c5889e6430069721b3a279fa04e29.jpg" }, { "user_id": 3880379, "full_name": "Wilson Nguyen", "title": "Founder", "founder_bio": "Co-founder at OpenTag. Previously founding engineer at Lilac Labs (YC S24). Studied Computer Science at UC Berkeley.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nguyenwilson/", "x_url": "https://x.com/potatoparser", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/19a40eb53a4be1df58ecf47644f1c5154bd9ff7e.jpg" }, { "user_id": 1378729, "full_name": "Shelden Shi", "title": "Founder/CTO", "founder_bio": "Co-Founder and CTO at OpenTag. Previously founded Lilac Labs (S24). Studied CS and CogSci at UC Berkeley.", "is_active": true, "linkedin_url": "https://linkedin.com/in/sheldenshi", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/92d85249cf52d37811253ebfde1164c62804c115.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 111999, "title": "OpenTag - Model Agnostic Claude Tag", "tagline": "AI Super Coworker in Slack.", "body": "Hey everyone. You’ve might of heard of Open AI, Open Router, OpenCode, OpenWork….\n\nIntroducing [OpenTag](https://www.tryopentag.com/?utm_source=yc&utm_medium=referral&utm_campaign=yc-launch&utm_content=launch-page) - the model agnostic Claude Tag.\n\nWe started early access a 2 weeks ago and are live with 10 teams.\n\nIf you've seen Claude Tag, you know the interface: tag an AI in Slack, hand it a task, get the result in the thread. We think that's the right interface. We built OpenTag because we think the multiplayer harness should be model agnostic. When a better model ships, your coworker gets better the same day, benefiting from the performance and cost improvements.\n\nOpenTag is an AI coworker that lives inside of Slack. You invite it into the channels you want. It picks up how the company runs, how decisions are made, who owns what. It helps the team coordinate and builds automations for workflows that it sees as repetitive. It asks for tools and visibility the way an A-player hire does, and it tries to grow its own scope and agency. It starts as an intern and tries to earn the COO job. As it works, it writes a company wiki of how you actually run. That wiki compounds as a company brain, so OpenTag only gets sharper with time. Throw it anything. It does its best, and it asks for help when it’s blocked. The result lands in the thread, with sources, where the whole team can see it.\n\n**Four parts, one coworker:**\n\n1. **Ambient and proactive agents -** properly sandboxed with its own computer and browser, so you can trust them with actual tasks instead of babysitting chat windows.\n2. **A wiki that maintains itself —** no more stale handbooks. OpenTag writes down how the company actually runs and keeps it current. Teammates can read it. Agents can read it.\n3. **Automations that suggest themselves -** OpenTag watches how your team works and surfaces the repetitive stuff worth automating, so you're not designing workflows from a blank page.\n4. **Built for multiplayer** - OpenTag is designed with proper permissioning that matches how your team operates.\n\n**2 minutes to start.** Add OpenTag to Slack, invite it to the channels where work happens, give it a job. It’ll ask for the tools it needs (whatever the job touches). It only reads the channels you invited it to.\n\n**Built by software engineers who’ve shipped products used by millions.**\n\nThe three of us worked together at Lilac Labs (YC S24) and all went to Berkeley. Tony (CEO) was software at Tesla and Intel. Shelden (CTO) was at Flatiron Health, Roche, and Certik (cyber security). Wilson (Chief Engineer) was at Hewlett Packard Enterprise and Vestible, a regulated securities platform.\n\nOpenTag is the coworker we wanted at our last company, when we were the ones running every job.\n\n**Try OpenTag today**\n\nTry it at [www.tryopentag.com](http://www.tryopentag.com)\n\nTake 30 minutes with me: [book a demo.](https://cal.com/tony-kam-ympx2p/intro?overlayCalendar=true)\n\nWould love to hear your thoughts and feedback. You can email me at [tony@tryopentag.com](mailto:tony@tryopentag.com)\n\n![uploaded image](/media/?type=post&id=111999&key=user_uploads/802295/8d1c1925-f213-405e-bfd4-f9b9effd0095)\n\n", "url": "https://www.ycombinator.com/launches/T8R-opentag-model-agnostic-claude-tag", "votes": 6, "created_at": "2026-08-25T22:00:00.175Z" }, { "id": 111423, "title": "Gini: AI coworker that lives in Slack", "tagline": "Does the work in your channels and turns what it learns into a company brain.", "body": "Hi everyone, [Shelden](https://www.linkedin.com/in/sheldenshi), [Wilson](https://www.linkedin.com/in/nguyenwilson), and I ([Tony](https://www.linkedin.com/in/tonyshekkam/)) are cofounders of [Gini](https://ginicomputer.com/?utm_source=yc&utm_medium=referral&utm_campaign=yc-launch&utm_content=launch-page).\n\n[Gini](https://ginicomputer.com/?utm_source=yc&utm_medium=referral&utm_campaign=yc-launch&utm_content=launch-page) is a model agnostic proactive AI coworker that lives inside of Slack. You invite it into the channels you want. It picks up how the company runs, how decisions are made, who owns what. It helps the team coordinate and builds automations for workflows that it sees as repetitive. It asks for tools and visibility the way an A-player hire does, and it tries to grow its own scope and agency. It starts as an intern and tries to earn the COO job. As it works, it writes a company wiki of how you actually run. That wiki compounds as a company brain, so Gini only gets sharper with time. Throw it anything. It does its best, and it asks for help when it’s blocked. The result lands in the thread, with sources, where the whole team can see it.\n\n\n\n**Four parts, one coworker:**\n\n1. **Ambient and proactive agents -** properly sandboxed with its own computer and browser, so you can trust them with actual tasks instead of babysitting chat windows.\n2. **A wiki that maintains itself —** no more stale handbooks. Gini writes down how the company actually runs and keeps it current. Teammates can read it. Agents can read it.\n3. **Automations that suggest themselves -** Gini watches how your team works and surfaces the repetitive stuff worth automating, so you're not designing workflows from a blank page.\n4. **Built for multiplayer** - Gini is designed with proper permissioning that matches how your team operates.\n\n**2 minutes to start.** Add Gini to Slack, invite it to the channels where work happens, give it a job. It’ll ask for the tools it needs (whatever the job touches). It only reads the channels you invited it to.\n\n**Built by software engineers who’ve shipped products used by millions.**\n\nThe three of us worked together at Lilac Labs (YC S24) and all went to Berkeley. Tony (CEO) was software at Tesla and Intel. Shelden (CTO) was at Flatiron Health, Roche, and Certik (cyber security). Wilson (Chief Engineer) was at Hewlett Packard Enterprise and Vestible, a regulated securities platform.\n\nGini is the coworker we wanted at our last company, when we were the ones running every job.\n\n**Try Gini today**\n\nTry it at [ginicomputer.com](https://ginicomputer.com/?utm_source=yc&utm_medium=referral&utm_campaign=yc-launch&utm_content=try-cta).\n\nTake 30 minutes with me: [book a demo.](https://cal.com/tony-kam-ympx2p/intro?overlayCalendar=true)\n\nWould love to hear your thoughts and feedback. You can email me at [tony@ginicomputer.com](mailto:tony@ginicomputer.com)\n\n![uploaded image](/media/?type=post&id=111423&key=user_uploads/802295/f974cf1c-1978-4418-a1e6-5fdc6de258f8)\n\n", "url": "https://www.ycombinator.com/launches/Sz9-gini-ai-coworker-that-lives-in-slack", "votes": 101, "created_at": "2026-08-20T13:00:00.616Z" } ] }, { "id": 34896, "name": "Faraday", "slug": "faraday", "former_names": [ "Faraday Cage", "Faraday", "Faraday Cage" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fbde4bac30252064b1c0af408469172eea1d9b55.png", "website": "https://faradaycompute.com", "all_locations": "San Francisco, CA, USA", "long_description": "Faraday builds industrial AI that learns how enterprises operate and executes long-horizon, multi-step tasks from the back office to the shop floor.\r\n\r\nWe sit on top of fragmented systems of record, coordinating work across existing software and teams. We combine operating procedures, enterprise data, and expert feedback to capture the rules and judgment behind complex processes. In customer-specific RL environments, we optimize the agent harness around each company’s systems, constraints, approvals, and exceptions.\r\n\r\nWe’re connecting to industrial hardware to bring live production data into the same feedback loop. Human corrections, machine data, and operating results help improve how agents plan and execute future work.\r\n", "one_liner": "Agents running industrial enterprises from back office to shop floor", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1789851118, "tags": [ "Robotics", "B2B", "Manufacturing", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "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": null, "url": "https://www.ycombinator.com/companies/faraday", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/faraday.json", "year_founded": 2026, "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/fbde4bac30252064b1c0af408469172eea1d9b55.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": 1518911, "full_name": "Datta Kaligotla", "title": "Founder/CEO", "founder_bio": "Co-founder at Faraday\n\nSolving the hardest problems with the greatest people\n\nEngineering @ Microsoft, Endeavor, Boeing\nFounding Eng @ Handshake AI Enterprise\nQuant @ Pretium Capital", "is_active": true, "linkedin_url": "https://linkedin.com/in/datta-kaligotla-b2a0b712a", "x_url": "https://x.com/Dattakaligotla", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0af06c0d83a4fe24f1f5aefe936dc77c9bc9c1b6.jpg" }, { "user_id": 3675557, "full_name": "Oscar Rangel", "title": "Co-Founder", "founder_bio": "Co-Founder at Faraday. Previously built systems for factories powering a $2B+ steel manufacturer (worthington steel), shipped medical devices for a $100B+ company (Stryker), and worked on projects for NASA astronauts.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/oscar-rangel", "x_url": "https://x.com/oscarrangelmora", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/821bac69e02067b2b3f58a5c4df05546e8881c37.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35289, "name": "ByteAsk", "slug": "byteask", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6bcbfe2855ffcd587858880c19e9ea0940b81943.png", "website": "https://byteask.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "ByteAsk is an AI coding agent built for C and C++, the code that runs trading systems, cars, chips, and operating systems. It does not stop at a diff that looks right. ByteAsk builds, debugs, and tests every change with the real toolchain until the change holds. If the compiler, the debugger, or the tests can catch it, then ByteAsk catches it too. It runs from the terminal or inside VS Code, Neovim, and Emacs, and is available fully on-prem.", "one_liner": "The AI coding agent for C and C++", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1788984366, "tags": [ "Developer Tools", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/byteask", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/byteask.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/byteask/", "x_url": "https://x.com/ByteAsk", "fb_url": null, "cb_url": null, "github_url": "https://github.com/ByteAsk", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6bcbfe2855ffcd587858880c19e9ea0940b81943.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": 2695229, "full_name": "Anirudha Kulkarni", "title": "Founder/CEO", "founder_bio": "Debugged low-latency C++ at Optiver and Quantbox; now building the agent that does it.\n- At Quantbox, built a Python-to-C++ transpiler for trading strategies: 1.5 s to 150 ns, beating hand-optimized C++.\n- Spoke at CppCon 2026 on C++ in the age of AI.\n- Co-founded LawSutra AI (CEO); acquired within months by Manupatra, India's largest legal-tech firm. Its search now serves 100k+ lawyers.\n- IIT Delhi CS (B.Tech + M.Tech)\n- 3rd in India, Jane Street Electronic Trading Challenge", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anirudha-kulkarni47/", "x_url": "https://x.com/4n1rudh4/", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2e36405cd531703cc167d83378745f29bb7f5512.jpg" }, { "user_id": 2563559, "full_name": "Pratyush Saini", "title": "Founder/CTO", "founder_bio": "Pratyush is the co-founder and CTO of ByteAsk, an AI coding tool for C and C++. He studied Computer Science at IIT Delhi. He was a core engineer on NeuralDB and BOLT, ThirdAI's CPU-only search and deep learning engines, then a founding engineer at Simbian, where he co-built the AI security agent that handles over a million incidents a year. He co-founded LawSutraAI as CTO and sold it to Manupatra, India's largest legal tech firm, where his legal research agent serves over 100,000 lawyers.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pratyush-saini-96108a1a7/", "x_url": "https://x.com/pratyush1505", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/31076f036b7173d8933412fddd7492d7bddad150.jpg" } ], "jobs": [], "news": [ { "title": "Two IIT Delhi Grads Built & Sold an AI Startup in 4 Months. Now They Are Building for C++", "url": "https://analyticsindiamag.com/ai-startups/two-iit-delhi-grads-built-sold-an-ai-startup-in-4-months-now-they-are-building-for-c", "date": "Sep 24, 2026" }, { "title": "AI coding startup ByteAsk raises $1 million from YC, Entrepreneur First - The Economic Times", "url": "https://economictimes.indiatimes.com/tech/startups/ai-coding-startup-byteask-raises-1-million-from-yc-entrepreneur-first/articleshow/134443548.cms?from=mdr", "date": "Sep 24, 2026" } ], "launches": [] }, { "id": 35397, "name": "Quivly AI", "slug": "quivly-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c9dd1fbd0b76e538f581f702ad2deb68c3eca171.png", "website": "https://www.quivly.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Quivly is the agentic workspace for everything after the sale. Our agents turn kickoff calls into launch plans, chase blockers, catch risk and expansion signals, and have the full account story ready at renewal. With Quivly, companies are able to take their customers live in 7 days instead of 30, and then grow revenue from these customers by 4.3x on avg.", "one_liner": "AI agents that run onboarding, adoption, and renewals", "team_size": 4, "industry": "B2B", "subindustry": "B2B", "launched_at": 1791438593, "tags": [ "SaaS", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/quivly-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/quivly-ai.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/quivly/", "x_url": "https://x.com/quivlyai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c9dd1fbd0b76e538f581f702ad2deb68c3eca171.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/5ef27d729c55d59632c37736530be394c564ca40.png" ], "primary_partner": { "name": "Kulveer Taggar", "url": null }, "founders": [ { "user_id": 1833192, "full_name": "Chandrika Maheshwari", "title": "Founder/CEO", "founder_bio": "Co-founder/CEO at Quivly AI. Previously founded Pull, a fintech company with a payroll-linked lending product. Ex-Plaid, Docusign, Google, Bain & Co. and MIT grad", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chandrikamaheshwari/", "x_url": "https://x.com/Chandrika633", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2b79d37f1db9bc0c6d8f8de68cbef41f2afc2c7f.jpg" }, { "user_id": 78328, "full_name": "Tanay Agrawal", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO at Quivly AI. Previously founding PM at Atlan, scaling 0→$2M ARR and 200 enterprise customers across 50 countries. Earlier founding engineer at Atlan, solo-built a data collection app to 200K downloads and 30K DAU in 6 weeks. Led pricing and billing infrastructure at JP Morgan Payments supporting $2B annual volume. MS Product Management from Carnegie Mellon, BS CS from Manipal.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tanayagrawal19/", "x_url": "https://x.com/tanayagrawal19", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/153895247ab65b17900140be2124d44746497a61.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 120590, "title": "Quivly: AI agents that run everything after the sale, from onboarding to renewal", "tagline": "Get your customers live in 7 days instead of 30, then expand them by 4.3x", "body": "Hi YC, we're [Chandrika](https://www.linkedin.com/in/chandrikamaheshwari/) and [Tanay](https://www.linkedin.com/in/tanayagrawal19/), co-founders of Quivly.\n\n**TL;DR: Quivly is the AI workforce for everything after the sale, especially for companies with usage-based pricing.** Our agents turn kickoff calls into launch plans, chase blockers, catch risk and expansion signals, and have the full account story ready at renewal. \n\nWith Quivly, companies are able to take their customers live in 7 days instead of 30, and then grow revenue from these customers by 4.3x on avg.\n\n\n\nEveryone rings the gong when the deal closes. But that's when the real work starts. The work after the sale is scattered across Slack threads, spreadsheets, calls, tickets, and someone's memory. Quivly brings it together and turns it into outcomes.\n\n**One account, one year with Quivly**\n\nAs one customer put it: “Traditional customer success tools were all built for seat-based SaaS. Quivly is the first post-sales platform we found that’s actually designed for consumption pricing.”\n\n**Day 1: Onboarding**. The kickoff call ends and Quivly has already turned it into a plan, shared with the customer in their own portal. If something blocks launch, like an SSO config, the agent follows up with the right person. With Quivly, our customers have reduced their time to value by 77%, going from live in 30 days to live in 7.\n\n**Month 4: Risk**. Usage starts to slip, and a support ticket is sitting in another tool. Quivly connects the dots before your CSM has to, and the walkthrough is already booked.\n\n**Month 9: Expansion**. The customer acquires another company. Quivly catches the news, ties it to the account, and flags the expansion opportunity to your account manager.\n\n**Month 12: Renewal**. No piecing together the story. What shipped, what changed, where Quivly stepped in, and where the customer can grow next is all in one place.\n\nUse Quivly in the app, in Slack, or through our MCP.\n\nMCP:\n\n![uploaded image](/media/?type=post&id=120590&key=user_uploads/1833192/8f70eefa-486a-4a91-b0fe-1d648a270a9c)\n\nSlack:\n\n![uploaded image](/media/?type=post&id=120590&key=user_uploads/1833192/53a10622-290a-471f-af35-c43d0087abb8)\n\n**Traction**\n\n\\- Our customers include companies like Siftly (W22), Octolane (W24), Hyperspell (F25); We manage over 10,000 accounts our customers \n\n\\- 77% faster time to value (30 → 7 days)\n\n\\- 4.3x average revenue expansion with Quivly\n\n\\- 8 hours saved per FDE per week \n\n**Team**\n\n**Chandrika Maheshwari (CEO)**: 2x founder (previously founded Pull, payroll-linked lending). \\~15 years at Plaid, Docusign, Google, and Bain, where she built internal tools to fix fragmented customer data. MIT grad.\n\n**Tanay Agrawal (CTO):** Founding PM at Atlan, scaling it 0 to $2M ARR and 200 enterprise customers in 50 countries. Solo-built an app to 200K downloads in 6 weeks. Led pricing and billing infra at JPMorgan Payments ($2B annual volume). CMU grad.\n\n![uploaded image](/media/?type=post&id=120590&key=user_uploads/1833192/156a8e33-4d11-41f0-9b22-b260975234b3)\n\n**Our ask:**\n\nIf you answer “yes” to any of these, we’d love your help:\n\n\\- Are you a B2B founder with enough customers that you’re starting to lose track of them?\n\n\\- Are you an FDE, CSM or Account Manager at a B2B SaaS or AI company?\n\n\\- Do you know Heads of FDE or CS at B2B SaaS or AI companies?\n\nPlease book time with us. We’ll map your first year after the sale: [cal.com/chandrika/30min](http://cal.com/chandrika/30min)\n\nor reach us at [chandrika@quivly.ai](mailto:chandrika@quivly.ai)\n\nYour help can make a huge difference. Thank you!", "url": "https://www.ycombinator.com/launches/VN0-quivly-ai-agents-that-run-everything-after-the-sale-from-onboarding-to-renewal", "votes": 48, "created_at": "2026-10-08T19:34:00.127Z" } ] }, { "id": 35751, "name": "Rystic", "slug": "rystic", "former_names": [ "Rystic, Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bfa5e505d77a3f64c4f5ed8941cc14f8318a3a34.png", "website": "https://rystic.ai", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Train models and test agents in high-fidelity simulated environments", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1790916343, "tags": [ "Developer Tools", "B2B", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/rystic", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/rystic.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rystic/", "x_url": "https://x.com/RysticAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bfa5e505d77a3f64c4f5ed8941cc14f8318a3a34.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Grey Baker", "url": "https://www.ycombinator.com/people/grey-baker" }, "founders": [], "jobs": [], "news": [], "launches": [] }, { "id": 36643, "name": "Papaya", "slug": "papaya", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/90437a276bb22b842ea04cd42e19389e216c984c.png", "website": "https://papaya.fyi/", "all_locations": "San Francisco, CA, USA", "long_description": "Papaya is the optimization engine for AI agents. Engineers don't have time to continually improve the agents they've shipped — the context bloat, overly chatty subagents, and broken tool calls sit in production traces nobody reads, quietly hurting agent efficiency. With Papaya they connect their agent directly via SDK, get actionable recommendations on how to improve quality, latency, and cost, and the ones they approve are pushed to production as pull requests.\r\n\r\nPapaya runs 200+ research-backed analyses across context, prompts, prompt caching, subagents, and tool calls. Every recommendation is ranked by impact and comes with the production runs that produced it — typically a 20%+ quality improvement on the first workflow analysis.", "one_liner": "Continuously improve the quality of your AI agents.", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1789407516, "tags": [ "AIOps", "Developer Tools", "B2B", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/papaya", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/papaya.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/papayaai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/90437a276bb22b842ea04cd42e19389e216c984c.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": 2135001, "full_name": "Macy Mody", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO at Papaya (YC F26). Previously led GTM and Ops at SafeBase from $0-10M ARR and through its acquisition. Also led analytics products at HqO and managed investments for AmEx Digital Labs. UMich undergrad and HBS MBA.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/macy-berg/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/570e127be1ea69af0971fe4c5f2a81e394bae22b.jpg" }, { "user_id": 48440, "full_name": "Niyaz Puzhikkunnath", "title": "Founder/CPO", "founder_bio": "Founder at Papaya. Previously Sr. SDE at Amazon for 10+ years building large-scale ML systems across Computer Vision, Classification, LLMs/Agents. Led teams on brand and product classification, built agent evaluation workflows, and created a self-service ML training pipeline. Earlier, one of the first engineers at Zovi.com, where he helped build the front-end architecture and internal analytics.", "is_active": true, "linkedin_url": "https://linkedin.com/in/niyazpk", "x_url": "https://x.com/niyazpk", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/104b41ff2bd7bbe701b32887f45470ba3e89badd.jpg" }, { "user_id": 3166801, "full_name": "Faiz Vadakkumpadath", "title": "Founder", "founder_bio": "Founder at Papaya (YC F26). Previously Senior Data Engineer at Amazon for 10 years, leading teams for the enterprise Data Lake, solving problems at Exabyte scale. Earlier scaled Vodafone's MPESA mobile money system in Africa from 25 to 200 tps at IBM. Co-founded OpenReporting, a SaaS financial reporting tool.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vpfaiz", "x_url": "https://x.com/vpfaiz", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cfa4f0888a12e8d75c59b3bd551968fc62ced0d5.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 115486, "title": "Papaya - Continuous Optimization for your AI agents", "tagline": "Papaya finds what's hurting your agent's quality, cost, and latency, and fixes it for you.", "body": "Hey everyone! 👋 \\\n\\\nWe're Macy, Faiz and Niyaz - co-founders of[ Papaya](https://papaya.fyi) \n\n**TL;DR**\n\nPapaya is the optimization engine for AI agents. Connect your production agent and Papaya watches every action, finds what's hurting quality, cost, and latency, and gives you the fix. Once a fix is in place, Papaya makes sure your agent doesn't regress. Teams running Papaya are seeing 20%+ improvements to quality, latency, and cost.\n\n**Ask:** If you run an agent in production, connect it to Papaya. [Grab a time to get started here](https://cal.com/macy-mody/macy-papaya).\n\n\n\n**The Problem**\n\nWe’ve been building agentic systems for years (6 years to be exact…before it was cool), including really large ones that helped run major workflows inside Amazon. We know firsthand that the hard part isn’t getting an agent to work, it’s keeping it working at a high quality bar. We consistently saw that every model update and every prompt change shifted behavior in ways nobody caught until something downstream looked wrong. The only way to find out what changed was to pull traces and read them by hand.\n\nMost companies shipping agents today are focused on the next feature for customers and they don't have time to fully maintain what's already been released. When we built our own agent as a three-person team, we hit the same wall. We needed to make sure our agent had high quality answers, was fast for our customers, and as low cost as possible, but we had to look at everything by hand. Every hour we spent examining traces was an hour we couldn’t spend on new product development. That's why we built Papaya.\n\n**How Papaya works 🔧** \n\nAt Papaya, our goal is to do the hard AI engineering work for you, staying up to date on the latest and greatest research so you can take advantage of this knowledge through optimizations. Simply stream your production traces through a lightweight SDK. From there, Papaya:\n\n* **Finds your use cases**: groups every run by the job the agent is doing, so you're looking at \"refund requests,\" not \"run 4812.\"\n* **Runs 200+ analyses**: checks every use case against 200+ research-backed failure patterns across quality, cost, and latency.\n* **Ranks the fixes by impact**: every recommendation comes with an estimated effect on quality, latency, and cost. Approve the ones you want directly in Papaya and Papaya opens the PR.\n* **Watches for regression**: once a fix ships, Papaya keeps checking that the improvement holds.\n\n![uploaded image](/media/?type=post&id=115486&key=user_uploads/2135001/0a49f356-ac11-44d5-bcc1-69caf4ba64d9)\n\n**Our Ask 🙏**\n\n* Run an agent in production? Connect it to Papaya. [Grab a time with us here](https://cal.com/macy-mody/macy-papaya).\n* Know any companies spending tons of time maintaining and fixing their agents? Intro us at [macy@papaya.fyi](mailto:macy@papaya.fyi).\n* Building agents and want a second set of eyes? Ping us. We are happy to help however we can!\n\n**The Team**\n\nWe've spent over 10 years building large scale agentic systems at Amazon, and we've scaled other YC startups from $0 to $10M ARR through acquisition. We started out building an analytics agent. The harness we built to optimize our own agent became the center of every prospect conversation, so we pivoted to it. Meet our team below :) \n\n![uploaded image](/media/?type=post&id=115486&key=user_uploads/2135001/ba5c9344-fb83-47ed-8c8c-deef533840ce)\n\n", "url": "https://www.ycombinator.com/launches/U2g-papaya-continuous-optimization-for-your-ai-agents", "votes": 38, "created_at": "2026-09-16T18:04:02.706Z" } ] } ]