[ { "id": 28922, "name": "Egress Health", "slug": "egress-health", "former_names": [ "Egress" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/392ff7d64717e95c1b8ca23af91934ffec643fbf.png", "website": "https://tryegress.com", "all_locations": "San Francisco, CA, USA", "long_description": "Egress Health builds AI agents to automate revenue cycle management, starting with dental offices. Our workflows span eligibility checks, claims scrubbing, payment posting, and denial management. On average, our customers eliminate 1-2 full time employees and collect 5-15% more revenue each month. Interested in learning more? Shoot us a note at founders@tryegress.com", "one_liner": "Automated revenue cycle management, starting with dentists", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1690905553, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Acquired", "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/egress-health", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/egress-health.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tryegress", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/392ff7d64717e95c1b8ca23af91934ffec643fbf.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": 668444, "full_name": "Alex Pedersen", "title": "Founder", "founder_bio": "Co-founder of Egress. Prev Microsoft, Harvard CS", "is_active": true, "linkedin_url": "https://linkedin.com/in/alex-pedersen-30340915a", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/74569d1765199731e0f2b8b137e44937b7776659.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 88173, "title": "Egress Health: AI that gets doctors paid", "tagline": "Automated revenue cycle management, starting with dentists", "body": "Hi! I’m Alex, founder of Egress Health. We’re building AI agents to automate the work healthcare providers do to get paid by insurance (aka “revenue cycle management”). Our first customers are dental clinics.\n\n# TL;DR:\n\n* **Our average customer eliminates 1-2 full time employees and sees a 5-15% increase in collections.**\n* Since launching in late October, we’ve expanded to dozens of locations across the country and processed $14M in reimbursements.\n* [Watch our video](https://www.youtube.com/watch?v=RzmQSBHpq5I)\n\n# Problem:\n\nIn the back of every healthcare provider's office there are staff who spend their whole day doing repetitive, mundane tasks necessary to get reimbursed by insurance. Failure to keep up with this work results in significant (sometimes existential) financial loss. \n\nWe learned about these consequences from a family friend, who is a dental provider. Suffering from staff turnover, the practice where she worked struggled to collect even 70% of what they were owed and nearly missed payroll as a result. \n\nThis story is not uncommon. Healthcare providers will spend >$160B on revenue cycle work this year and even the best run clinics still won’t collect everything they are owed. \n\nWe’re building Egress Health to help providers collect 100%.\n\n# Solution:\n\nWe’re building AI agents that complete these revenue cycle tasks faster, and more accurately than any human. Our agents navigate insurance websites and practice management systems, automating away the need for administrative staff and billing specialists. Our average customer eliminates 1-2 full time employees after implementing and sees a 5-15% increase in collections.\n\nSince launching in late October, we’ve expanded to dozens of locations across the country and processed $14M in reimbursements.\n\n# Team:\n\nAlex studied CS at Harvard and previously worked at Microsoft. \n\n# Asks:\n\nWe’re looking to partner with independent practices, DSOs, and DPOs looking to automate their administrative workflows. If that sounds like you, please [book a meeting](https://calendly.com/egress-alex/30min) or reach out to us at [founders@tryegress.com](mailto:founders@tryegress.com) to learn more.", "url": "https://www.ycombinator.com/launches/Mw9-egress-health-ai-that-gets-doctors-paid", "votes": 17, "created_at": "2025-03-01T04:03:30.365Z" } ] }, { "id": 29727, "name": "Overstand Labs", "slug": "overstand-labs", "former_names": [ "Overstand Labs", "Overstand Labs Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/061e173be11210d3cca9f1b51ba89c7c5255750b.png", "website": "https://overstandlabs.com", "all_locations": "New York City, NY, USA", "long_description": "Overstand is a data lab that allows our customers to navigate any set of data in just a few minutes.\r\n\r\n*Enterprise*: For enterprises, we we unify Slack, email, calls, and operational data, then surface the signals that matter — customer needs, risks, and revenue opportunities hidden in everyday conversations.\r\n\r\n*Legal Firms*: For legal firms, we help them really quickly understand their entire discovery corpus (either before, or after document review), and quickly build out an initial case assessment and facts.\r\n\r\nInstead of waiting on reports or manual analysis, teams get immediate, evidence-backed answers from the data they already have. Overstand delivers clarity and leverage as your business scales.", "one_liner": "Navigate any set of data - no matter how large - in minutes.", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1724369845, "tags": [ "LegalTech", "Data Science", "Data Engineering", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/overstand-labs", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/overstand-labs.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/overstand-labs/", "x_url": "https://x.com/OverstandLabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/061e173be11210d3cca9f1b51ba89c7c5255750b.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": 1993194, "full_name": "Mihir Patil", "title": "Founder/CTO", "founder_bio": "Co-founder of Overstand Labs. California Native. Ex-Palantir. Faculty @ NYU. Go Bears!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mihirnpatil/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f426ba6fe9ee49a3ffe6f50a7fa7bdaf607d2a5e.jpg" }, { "user_id": 282405, "full_name": "Derrick Cheng", "title": "Founder", "founder_bio": "Co-Founder of Overstand Labs | Ex-Meta | AI @ Berkeley", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chengderrick", "x_url": "http://twitter.com/dowithderrick", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eb972f35799a490a0e323593b2ea731f4a7db12c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98764, "title": "Overstand: A personal data team for Execs", "tagline": "Business leaders have ideas all the time. Overstand lets them validate and act upon them in just a few minutes.", "body": "**TL;DR**: [Overstand](https://overstandlabs.com/) is a personal data lab for Execs. We allow business leaders validate their intuitions against their company’s data — with their just their voice, you can go from a raw idea to an evidence-backed answer. They can even see a reproducible step-by-step process and underlying data behind it — all in a few in minutes. Have a look at our [launch video](https://www.youtube.com/watch?v=KrOwutgKsEA).\\\n\\\nAfter working with a bunch of larger companies, we learned something important: some of the most valuable questions are not the ones people plan dashboards for. They're the spontaneous ones, the realizations that you have mid-conversation... the \"wait a minute…\" moments.\n\nHere’s an example that many of us have encountered at some point: let's say you're talking to a customer, and they say \"_you know we've really struggled to figure out how to solve X at our company. Is that something you can help us with?_\" They might explain why X is hard, and you'd go back and forth a little.\n\nThen you wonder, at some point — is this just them, or have others said the same thing? Has anyone else on your 200-person GTM team heard of _X_ before? The signal is buried across massive email threads, Gong transcripts, Slack threads, and CRM notes — there’s no way to know quickly.\n\nSo this intuition fades. Perhaps you’re able to help that customer in a one-off way, but you don’t see the broader pattern.\n\nWe built Overstand to solve for this exact gap — the crevices where data collection has traditionally failed to help you. The spurious thought that you might’ve had.\n\nYou articulate your intuition in plain language — \"_show me all instances of a customer indicating they're struggling with X._\" Overstand builds an entire data pipeline on top of your company's comms + hard data and surfaces the underlying examples that answer your questions — in just a few minutes. From there you can drill down: ask follow-ups to hone in on specific instances, chart the results over time or pull everything into a single context to discuss what was found. You can even action each result individually — sending contextually-crafted emails to each customer who mentioned _X_.\n\nAll of this, with just your computer or phone (and you can even do it with your voice — we call it _speech-to-data-pipeline_).\n\nMost enterprise tools are built around questions you already know to ask. Overstand is built around the ones you didn't plan for.\n\nIf you're running GTM, CS, or product at a company with real customer volume and this problem sounds familiar — we'd love to talk.\n\n![uploaded image](/media/?type=post&id=98764&key=user_uploads/1993194/7ad71368-31a7-4dca-aa7c-9139d83f452a)\n\n", "url": "https://www.ycombinator.com/launches/Pgy-overstand-a-personal-data-team-for-execs", "votes": 8, "created_at": "2026-03-19T20:31:17.415Z" }, { "id": 87277, "title": "Overstand – Unlock Founder Mode with Real-Time Customer Insights", "tagline": "Know where your company needs you most", "body": "[Overstand](https://www.overstandlabs.com/) is a single platform and API that helps business leaders unlock \"founder mode\" by providing real-time insights from all customer communications—Slack, email, WhatsApp, call recordings, and more.\\\n\\\n**The problem:** As companies grow, it becomes harder for leaders to stay deeply connected to their customers. Critical trends, opportunities, and issues often go unnoticed, leading to slower decision-making, missed opportunities, and unresolved problems. Scaling without visibility into what’s happening at the “edges” of the business—customer interactions—creates blind spots that hinder growth.\n\n![uploaded image](/media/?type=post&id=87277&key=user_uploads/1993194/f829b629-7042-4789-b7ee-6cc44d8ed063)\n\n**How we solve it:** Overstand aggregates customer communications into one unified platform and delivers actionable insights.\n\n* **Know Where You’re Needed Most:** Focus on areas where your involvement can drive the biggest impact.\n* **Find Opportunities Everywhere:** Discover new prospects or expand existing relationships.\n* **Spot Trends Instantly:** Identify issues and opportunities in real time.\n* **Integrate Seamlessly:** Use Overstand’s API to bring insights directly into workflows, dashboards, or other tools.\n\nWith Overstand, business leaders regain clarity, focus, and the ability to scale while staying deeply in tune with their customers. [See a demo of Overstand here.](https://www.youtube.com/watch?v=-8tqKeXW2Cw)\\\n\\\n**Our ask:** If you or someone you know is struggling to maintain visibility into their company's customer interactions and opportunities, we’d love to help. Reach out to [founders@overstandlabs.com](mailto:founders@overstandlabs.com) or visit [overstandlabs.com](http://overstandlabs.com) to learn more or schedule a demo.", "url": "https://www.ycombinator.com/launches/Mhh-overstand-unlock-founder-mode-with-real-time-customer-insights", "votes": 57, "created_at": "2025-01-29T18:28:19.132Z" }, { "id": 83338, "title": "Overstand - The platform for upselling your enterprise accounts", "tagline": "Meet Overstand, the cross-selling engine for enterprise software companies.", "body": "**TLDR**: [Overstand](https://overstandlabs.com/) helps enterprise software teams maximize revenue by reading all customer communication channels (chat, email, call recordings, support tickets) to uncover opportunities for contract expansion.\n\n**The problem:**\n\nBig tech companies know that one of the best ways to increase revenue is to bring more value to existing customers. But customer account management involves not just sales, but also support, customer success, implementation teams, and so on. Customers might voice problems that are not conveyed in a timely manner (or at all!) to those responsible for expanding the account.\n\nEnterprise software companies are leaving a lot of potential revenue on the table— some offer a whole menu of products, with each enterprise customer only taking advantage of one or a few of the offerings.\n\n**The solution:**\n\nOverstand is designed to read all customer communications and flag opportunities for expansion of customer accounts. It identifies hidden expansion opportunities that are buried in customer communications by analyzing every single message and comparing it to product docs and even existing use cases at other enterprise accounts.\n\n![uploaded image](/media/?type=post&id=83338&key=user_uploads/1996894/9b65d2c3-9f8d-48e5-a07a-a6f6b37196f1)\n\n![uploaded image](/media/?type=post&id=83338&key=user_uploads/1996894/1295ceae-f91f-4bcf-9b1f-4cb244c655cf)\n\n**The team:**\n\n![uploaded image](/media/?type=post&id=83338&key=user_uploads/1996894/108201eb-a1e6-43f0-8397-4436134a5589)\n\nWe met at Palantir several years ago and both recognized the importance of empowering customer-facing teams to fully understand and sell highly technical and complex products. [Mihir](https://www.linkedin.com/in/mihirnpatil/) was a PM and engineering lead at Palantir and often felt that many existing customers could have further benefited from using his products. [Senta](https://www.linkedin.com/in/senta/) managed customer accounts valued in the double-digit millions and often observed challenges associated with upselling into existing accounts.\n\n**Asks:**\n\nIf you’re interested in cross-selling and upselling as a strategy for growing your enterprise account revenue, we’d love to chat! Email us at [founders@overstandlabs.com](mailto:founders@overstandlabs.com).\n\nFollow us [on LinkedIn](https://www.linkedin.com/company/overstand-labs/)!", "url": "https://www.ycombinator.com/launches/LgA-overstand-the-platform-for-upselling-your-enterprise-accounts", "votes": 52, "created_at": "2024-08-23T01:13:45.957Z" } ] }, { "id": 29790, "name": "YouShift", "slug": "youshift", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5a22f1efd256331a2e5ea299a5c6ecd931817254.png", "website": "https://www.you-shift.com/", "all_locations": "New York City, NY, USA", "long_description": "YouShift uses AI to automate hospital shift scheduling, replacing legacy software and eliminating the need for full-time schedulers. And scheduling is just the beginning — we're building the future of healthcare workforce management.", "one_liner": "The OS for hospital workforce management", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Human Resources", "launched_at": 1738883676, "tags": [ "Health Tech", "Healthcare", "HR Tech", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Human Resources" ], "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/youshift", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/youshift.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/you-shift", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5a22f1efd256331a2e5ea299a5c6ecd931817254.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": 1884173, "full_name": "Lucía Vives Martorell", "title": "Founder/CEO", "founder_bio": "Originally from Barcelona, I studied Biomedical Science at University College London and Harvard. I am the co-founder of YouShift, a SaaS platform that automates shift scheduling for hospitals, helping healthcare professionals achieve better work-life balance and reduce burnout.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/luciavivesmartorell/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d404998a534e5692d00fa4c58aca1461e233c36e.jpg" }, { "user_id": 1383017, "full_name": "Jota Chamorro", "title": "Founder/CTO", "founder_bio": "Cofounder at YouShift. Building the AI-native workforce OS for healthcare. Previously at Harvard CS", "is_active": true, "linkedin_url": "https://linkedin.com/in/jotachamorro", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9f9833fc0703226c761def354d6f1eb322618fef.jpg" }, { "user_id": 434646, "full_name": "Adolfo Roquero Gimenez", "title": "Founder/CIO", "founder_bio": "YouShift, automating shift-scheduling for hospitals\nWorked as a Software Engineer in Google Ads Infrastructure building the largest, low-latency and reliable mechanism to load and serve key-value data across Google Ads.\nStudied Computer Science at Harvard University graduating with honors.\n\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/adolfo-roquero-gimenez-a8b853181", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/17ec15d9f8555d3cec9a2a47af5aae97cc4fb217.jpg" } ], "jobs": [ { "id": 106406, "title": "Founding Account Executive", "url": "https://www.ycombinator.com/companies/youshift/jobs/LMLoswh-founding-account-executive", "location": "New York, NY, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$220K - $350K", "equity_range": "", "experience": "1+ years", "visa": "Will sponsor", "skills": [] }, { "id": 106407, "title": "Founding Business Development Representative", "url": "https://www.ycombinator.com/companies/youshift/jobs/tgkvAql-founding-business-development-representative", "location": "New York, NY, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$115K - $125K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 88083, "title": "YouShift – AI-powered shift scheduling for healthcare", "tagline": "We use AI to automate hospital shift scheduling, eliminating the need for full-time physician schedulers while ensuring efficient and compliant staffing. ", "body": "# **TL;DR**\n\nHospitals use complex, unintuitive scheduling software **that still requires full-time administrators** to manage it. Entire teams spend **hours juggling shifts, fixing errors, and handling last-minute changes** — leading to inefficiencies, staff dissatisfaction, and **billions in lost productivity and resources.**\n\n**YouShift replaces manual work with AI-powered automation** that creates **fair, efficient, and compliant schedules.**\n\n# **The Problem: Shift scheduling is a mess**\n\nMost hospitals rely on **manual scheduling processes and fragmented, unintuitive software** platforms that don't integrate. Schedulers and physicians spend hours adjusting shifts and then manually transferring data between disconnected systems, wasting time, increasing errors, and creating inefficiencies.\n\nBad scheduling impacts **hospital efficiency, staff well-being, and patient care** — a problem that healthcare simply can't afford.\n\n# **The Solution: AI scheduling that works for everyone**\n\nUnlike traditional scheduling tools, **we don’t just digitize spreadsheets — we replace them with an intelligent system that optimizes scheduling** for both staff and hospitals.\n\n\n\n# **Scheduling is just the beginning…**\n\nWe're not stopping at scheduling. Our vision is to build the **all-in-one healthcare workforce management system** — think **Rippling for healthcare**. This includes:\n\n* Payroll & time tracking\n* Credentialing & compliance\n* Hiring, staffing analytics & workforce optimization\n\n# **The Backstory: Why we’re building this**\n\nWe’ve seen this problem firsthand — we all grew up seeing **doctors in our family** who have struggled with chaotic schedules, last-minute changes, and burnout. Hearing their frustrations made us realize how **outdated the system is**, and we knew technology could do better.\n\nWhile still undergrads at Harvard, we decided to team up and tackle this problem. Now, more than 1000 doctors across Europe and the US use YouShift to create their schedules.\n\n![uploaded image](/media/?type=post&id=88083&key=user_uploads/1884173/df3b1762-ce6d-45dc-8c96-42423fc5be40)\n\n**Our Ask**\n\nWe’re looking to connect with **hospital leaders and medical teams** struggling with scheduling.\n\nIf you or someone in your network deals with scheduling challenges, let’s talk! We’d love to hear from you and see how YouShift can help.\n\nReach out or introduce us — we’d greatly appreciate it!\n\n![uploaded image](/media/?type=post&id=88083&key=user_uploads/1884173/7905dd19-afc5-4d0c-884e-f392159252ef)\n\n", "url": "https://www.ycombinator.com/launches/Muh-youshift-ai-powered-shift-scheduling-for-healthcare", "votes": 49, "created_at": "2025-02-26T21:55:34.938Z" } ] }, { "id": 29959, "name": "Uncommon Therapeutics", "slug": "uncommon-therapeutics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/791a2a1e71f62bafa47311d3711d9cab4712eea4.png", "website": "https://uncommontherapeutics.com", "all_locations": "San Francisco, CA, USA", "long_description": "Our founder Noah, an experienced tech entrepreneur, was directly impacted by a severe genetic disease when his daughter was diagnosed with Rett Syndrome, a disease that afflicts 1 in 10,000 girls. Using an innovative polytherapy strategy, we’ve successfully improved her quality of life, and have designed new therapeutics that each could be worth billions and together could deliver a cure.", "one_liner": "A Disease Focused Biotech, Building Multiple Billion Dollar Drugs", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Therapeutics", "launched_at": 1740166772, "tags": [ "Gene Therapy", "CRISPR", "Biotechnology" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Healthcare", "Therapeutics" ], "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/uncommon-therapeutics", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/uncommon-therapeutics.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/791a2a1e71f62bafa47311d3711d9cab4712eea4.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": 1883658, "full_name": "Noah Auerhahn", "title": "Founder/CEO", "founder_bio": "Serial Entrepreneur Building Therapies and New Biz Models for Rare Disease", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/noahauerhahn/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4e34b75273ea4671f2164eda22e1e988ee2388da.jpg" }, { "user_id": 1967780, "full_name": "Ryan Lim", "title": "Founder", "founder_bio": "Biotech entrepreneur and biomedical scientist specializing in modeling neurological disorders using stem cells, in vivo models, and computational biology to drive breakthroughs in neurological diseases", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ryanlimphd", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9c15bdfc25499f8bf1197bea4e37a0939dbb6405.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87905, "title": "💊🧠🧬 Uncommon Therapeutics - A Disease Focused Biotech", "tagline": "Developing multiple high‐value ($b) therapeutics per disease, combining new tools and deep expertise to deliver cures", "body": "### **TL;DR**\n\nNoah, an experienced tech entrepreneur, was directly impacted by a severe genetic disease when his daughter was diagnosed with Rett Syndrome, a disease that afflicts 1 in 10,000 girls. Using an innovative polytherapy strategy, we’ve successfully improved her quality of life, and have designed **new therapeutics that each could be worth billions and together could deliver a cure.**\n\nOur _uncommon_ approach to biotech includes deep respect for the complexities of biology and disease, but belief that **many of the orthodoxies of biotech can be challenged by ideas from tech**.\n\n### **Why Now?**\n\n**AI is unlocking every field and biotech is no different.** However in bio the value will not go to the platform builders, but the users of the tools and the drug assets they create. Today it is easier and cheaper than ever to build better drugs. \n\nMeanwhile, biotech is no longer a closed system. So many of the core modality IP (mAbs, ASOs, mRNA, Car-T, CRISPR, etc) have expired or will expire by the time a drug comes to market. There are mature CROs for every stage of drug development from screening to running studies. And there are experts available to consult who have built at the platform companies that spent billions refining these tools.\n\nAt Uncommon we believe now is the best time ever to build a disease focused biotech. **So while Biotech may not get the first 1 person billion dollar company, in this AI-driven open source system, it may deliver the first 2 person one.**\n\n### **Why Us?**\n\n_“Start companies to solve personal problems” —_ Michael Seibel\n\nImagine while you are building your high flying tech company, your 18 month old daughter starts to lose the ability to walk, speak, use her hands, and will soon develop a cascade of maladies (seizures, breath holding and hyper ventilation, scoliosis and on) – this is Rett Syndrome. Over the months that followed **Noah dedicated himself to this problem, reading over 300 papers in the first 9 months alone, speaking with every expert until he became one**. We identified multiple repurposed drugs, not commonly used for Rett, that while not curative could immediately push back against the skill loss and successfully give her a higher quality of life. Today, **Ellie is 5 and in the top 1% of people with Rett**. While still limited, she is happy, walking around, not in pain, without seizures, and is learning to read and communicate with her eye gaze device.\n\n**Expertise unlocks traction**: With just $1M, we utilized the best tech and modality expertise to design three novel therapeutics that target the underlying cause of the disease, **all of which are now working in patient cells**.\n\n### **Results in Patient Cells**\n\n![uploaded image](/media/?type=post&id=87905&key=user_uploads/1883658/f4e6dd78-3631-4692-98d9-49b57c43479a)\n\n### **Team**\n\n**Noah Auerhahn** (Co-Founder & CEO) - Noah bootstrapped his first company and sold it to Rakuten for $15M and raised over $75M for his second company. In 2021 his daughter was diagnosed with Rett Syndrome. He dedicated himself to becoming an expert on the disease and then identifying disease modifying-therapies, personally investing over $1M into those efforts. He is deeply involved across every aspect of Uncommon’s drug development efforts.\n\n**Ryan Lim, PhD** (Co-Founder & CSO) - Ryan is a biotech entrepreneur and biomedical scientist with over 10 years of experience in neurological diseases. At Uncommon he’s pioneering gene-editing, ASO, and small-molecule therapies for Rett Syndrome. He led AI-driven drug discovery efforts, taking a therapeutic candidate from initial discovery through IND-enabling studies on its way to ALS patients at Modulo Bio, and at UCI identified a repurposed compound that is currently in Phase II trials for Huntington’s disease.\n\n![uploaded image](/media/?type=post&id=87905&key=user_uploads/1883658/05663633-8048-49a0-b826-f0320e58af04)\n\n### **Asks**\n\n* Please share this post on your socials and help spread the word.\n* Intro’s to biotech execs who are forward thinking on rare disease and could be good future or present partners in our efforts!", "url": "https://www.ycombinator.com/launches/Mrp-uncommon-therapeutics-a-disease-focused-biotech", "votes": 23, "created_at": "2025-02-21T20:01:59.726Z" } ] }, { "id": 29986, "name": "Exin Therapeutics", "slug": "exin-therapeutics", "former_names": [ "EI Therapeutics" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/61d9c34b51f9b98cbfdb92bc0014e3569c29b36c.png", "website": "https://www.exintherapeutics.com/", "all_locations": "San Francisco, CA, USA", "long_description": "We use AI and high-throughput mouse studies to discover therapeutics that modify neural activity in the brain. The initial focus is on epilepsies associated with autism and Parkinson’s disease with the potential to expand to any neurological disorder underlined by a dysfunction in neural activity. Our R&D is guided by AI models trained on high-density multimodal mouse data generated in-house.\r\n\r\nWe are 3 Oxford-trained neuroscientists supported by an experienced SAB from Harvard, Science Corp (ex-Neuralink), EPFL, Meta, and UCL.\r\n\r\nIn 1.5 months since landing in SF, we went from nothing to (1) opening and operating an animal lab in South SF, (2) obtaining a proof-of-concept in mice, (3) building a multimodal AI model that directs our screening approach and (4) submitting two provisional patents; all while utilizing less than 50% of our YC funding. \r\n", "one_liner": "AI drug discovery platform for neurotherapeutics", "team_size": 9, "industry": "Healthcare", "subindustry": "Healthcare -> Therapeutics", "launched_at": 1736839155, "tags": [ "Neurotechnology", "Biotech", "Therapeutics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Healthcare", "Therapeutics" ], "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/exin-therapeutics", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/exin-therapeutics.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/exin-therapeutics", "x_url": "https://x.com/ExinTx", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/61d9c34b51f9b98cbfdb92bc0014e3569c29b36c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/cd055cca84536bc9ad6e7a1e84a3823687aa371a.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1960104, "full_name": "Gabriel Ocana Santero", "title": "Founder/CEO", "founder_bio": "Neuroscientist with a background in biochemistry and research on gene therapy, pancreatic cancer, and muscle physiology at institutions in Boston, Vienna, and Stockholm. Earned MSc in Neuroscience and PhD in Pharmacology at Oxford Uni, focusing on neurodevelopment and the effects of SSRI anti-depressants on early patterns of neural activity. Used neuroAI models at the Gatsby Unit (UCL) to study serotonin’s role in cognition. Currently developing gene therapies for neurological conditions. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gabriel-ocana-santero-85b41819a", "x_url": "https://x.com/OcanaSantero", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b483f6b8a4938fa65104b5d508ef58c0f2961242.jpg" }, { "user_id": 1960211, "full_name": "Marko Tvrdic", "title": "Founder/COO", "founder_bio": "Co-founder at Exin Therapeutics.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/marko-tvrdic/", "x_url": "https://twitter.com/markotvrdic", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e3d25553908165653f0f9a67c3c697b2db73ec48.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 86986, "title": "Exin Therapeutics: An AI discovery platform for neurotherapeutics", "tagline": "Precise modulation of neural activity across neurological disorders.", "body": "[Exin Therapeutics](https://www.exintherapeutics.com/) uses AI and high-throughput mouse studies to develop therapies for people suffering from neurological and neuropsychiatric disorders. We are tackling conditions like epilepsy, debilitating symptoms of autism spectrum disorder (ASD), and Parkinson’s disease by focusing on the neural circuitry of the brain.\n\n# **Why is this important?**\n\nMillions of people around the world suffer from neurological disorders. These disorders arise from imbalances in brain activity. Think of it like an orchestra where some instruments are playing too loud while others are too quiet. This “bad music” / neural imbalance—what we call excitatory/inhibitory (E/I) imbalance—is the root cause of many symptoms in these disorders. For example, in epilepsy, overactive circuits lead to seizures, while in ASD, it can cause sensory hypersensitivities - where individuals feel overwhelmed by normal sounds, lights, or touch that most people wouldn't even notice. These dysregulations in neural circuits impact how the brain processes information and responds to the world, leading to the debilitating symptoms we see in these disorders.\n\n# **Our solution**\n\nWe’re taking a circuit-level approach to treating brain disorders. Instead of trying to restore missing genes, we’re supplementing already existing genes that we know will be directly changing the neural activity in the brain - in the direction that we want and independently of the genetic background.\n\n![uploaded image](/media/?type=post&id=86986&key=user_uploads/89898/4181e602-6279-4611-9af3-73b0ccfca768)\n\nWe are also working on a multimodal AI model to streamline our preclinical R&D. Why? Well, because developing drugs for the brain is really tough. Every candidate needs to be tested for its ability to modulate circuits, and doing that through a traditional drug development preclinical pathway is a slow process.\\\n\\\nBecause of that, we use ML to analyze high-density multimodal data sets and prioritize which drugs are worth testing further. We use neural activity, behavior, and transcriptomics to train multimodal AI models that identify the drivers of the disease not observable by conventional analytical methods.\n\n![uploaded image](/media/?type=post&id=86986&key=user_uploads/89898/b1ad1c24-a513-4633-83f6-58378d1cb5d8)\n\nThen, we use these models to (1) predict the potential of our therapies to treat particular indications and (2) provide an efficacy readout during our internal experimental testing. This way, we spend our time (and funding) testing the most promising candidates.\n\n# **Our ask**\n\n1. Intros: If you have contacts in pharma, working on complementary tech, or have ideas for partnerships, we’d love to connect.\n2. We'd love to hear from people who have worked in therapeutics and people with IND-enabling programs or clinical trial design experience.\n\n# **Team**\n\nWe are a team of 3 Oxford-educated neuroscientists. [Gabriel](https://www.linkedin.com/in/gabriel-ocana-santero-85b41819a/?originalSubdomain=uk) is a biochemist with a wealth of research experience in neural development, gene therapy, and NeuroAI. He holds a PhD in Pharmacology from Oxford. [Ivan](https://www.linkedin.com/in/ilazarte/) is a physicist by training and has worked in molecular biology, circuit, and systems neuroscience. Ivan’s brother suffers from ASD and Ivan is on a mission to improve the quality of life for patients suffering from debilitating neurological conditions. He holds a PhD in neuroscience from Oxford. [Marko](https://www.linkedin.com/in/marko-tvrdic/?originalSubdomain=uk) has experience with iPSC models, retinal disorders, and circadian and developmental neuroscience. During his PhD, he worked in systems and behavioral neuroscience and holds an MSc from Oxford.\n\n![uploaded image](/media/?type=post&id=86986&key=user_uploads/1960211/5487d1f0-6cbc-4728-af74-a8377516e2d3)\n\nWe are supported by a team of advisors from top industry and academic institutions - including Harvard & UCL.", "url": "https://www.ycombinator.com/launches/Md0-exin-therapeutics-an-ai-discovery-platform-for-neurotherapeutics", "votes": 41, "created_at": "2025-01-20T22:29:09.667Z" } ] }, { "id": 29988, "name": "Delineate", "slug": "delineate", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/157ef705774b4b91cf62de3244f82d80101e257a.png", "website": "https://delineate.pro/", "all_locations": "Boston, MA, USA; Remote", "long_description": "Delineate is building AI agents to design better clinical trials faster.\r\n\r\nThis is a $10B dollar market, where saving even 1 day along the process is equal to $1-5M in revenue potential.\r\n\r\nWe process existing clinical trial research into specialized datasets saving scientists months of effort.\r\n\r\nDelineate is working with two of the largest pharmaceutical companies. With one of our customers, we are helping them get to the next phase of trials faster by creating the largest dataset on a drug class ever constructed.", "one_liner": "Agents for Accelerated Clinical Trial Design", "team_size": 20, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1739310156, "tags": [ "SaaS", "Biotech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "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/delineate", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/delineate.json", "year_founded": 2024, "city": "Boston", "country": "US", "linkedin_url": "https://www.linkedin.com/company/delineate-pro/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/157ef705774b4b91cf62de3244f82d80101e257a.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": 1994202, "full_name": "Emily Nieves", "title": "Founder/CEO", "founder_bio": "Co-founder at Delineate. Previously she was an MIT PhD Candidate in Biological Engineering and worked at Pfizer and AstraZeneca where she focused on applying AI to modeling and simulation for drug development optimization. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/emily-nieves-a67b90144/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/25c3d3d25e79921c3551067ea9c72f3f3b45c1bd.jpg" }, { "user_id": 1991260, "full_name": "Jawad Iqbal", "title": "Founder/CTO", "founder_bio": "Co-Founder and CTO of Delineate. Masters thesis in Robotics/AI with 2 research publications. Former technical project manager for high impact digital transformation projects within Skunkworks (Advanced Development) division at Lockheed Martin. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jawad-iqbal/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3a78b65aa66a14dadd0f56a2d8b2b176748f1db5.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87668, "title": "Delineate - Information Overload to Insights in Biopharma", "tagline": "Extract meaningful data from biopharma research and patents at scale", "body": "![uploaded image](/media/?type=post&id=87668&key=user_uploads/1994202/81ed81f4-b8e2-4a07-b7c7-70d09ac5b497)\n\n### **TLDR**\n\n* Delineate extracts and analyzes data from biopharma research papers and patents at scale, including data trapped in figures and plots.\n* We are partnered with two top-10 pharma companies where we are performing some of the largest systematic-review studies ever conducted.\n* For our clients we have increased the number of processed studies by 15x compared to industry standard and reduced the time for certain studies from months to weeks.\n\n### **Problem**\n\n90% of drug candidates fail despite billions in pharmaceutical R&D. Making evidence based decisions is crucial to the success of $2B drug pipelines. However to aggregate evidence across hundreds of research papers and patents can take research scientists months of hard labor.\n\n### **Solution**\n\nDelineate has developed custom LLM and computer vision models paired with rigorous QC processes to deliver extremely high quality datasets in a fraction of the time. By increasing the scale and speed for evidence aggregation, Delineate is transforming how pharmaceutical companies make evidence based development decisions.\n\n### **Demo:**\n\n[**Here is a quick demo of our platform and a sample project:**](https://www.loom.com/share/66a1878825f14eabaeee7f5cf948c9a1?sid=55675f9b-2d71-40d2-afc3-4be5351fc80f)\n\n### **Ask:**\n\n* Any introductions to biopharma companies that perform meta-analyses and/or computational analysis workflows.\n* If any biopharma-focused YC companies need assistance, we're happy to help!\n\n# About Us:\n\nled by [**Emily Nieves**](https://www.linkedin.com/in/emily-nieves-a67b90144/) (MIT PhD, former Pfizer/AstraZeneca computational researcher) and [**Jawad Iqbal**](https://www.linkedin.com/in/jawad-iqbal/) (ex-Lockheed Skunkworks AI lead)\n\n![uploaded image](/media/?type=post&id=87668&key=user_uploads/1994202/20a27c7b-6a42-4af4-953a-2a6d9883c8a8)\n\n", "url": "https://www.ycombinator.com/launches/Mo0-delineate-information-overload-to-insights-in-biopharma", "votes": 14, "created_at": "2025-02-13T20:40:24.989Z" } ] }, { "id": 29999, "name": "Onlook", "slug": "onlook", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c023f9010fb3a7f3e550c56a9283c477e6ca096.png", "website": "https://onlook.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Onlook is the fastest way for anyone to craft exceptional experiences in code. We built an open-source, visual editor for code that merges design, development, and AI.\r\n\r\nSince launching, Onlook hit #1 on Hacker News, was the #1 trending repo on GitHub–twice– and has earned over 26,000 GitHub stars.\r\n\r\nFounded by Daniel Farrell, a designer of 10+ years and former Head of Growth, and Kiet Ho, an ex-Amazon and ex-ServiceNow engineer, Onlook is on a mission to finally solve the gap between design and development. ", "one_liner": "The Developer tool for Designers", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1737572736, "tags": [ "Developer Tools", "Design", "Design Tools", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/onlook", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/onlook.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/onlook-dev", "x_url": "https://x.com/onlookdev", "fb_url": null, "cb_url": null, "github_url": "https://github.com/onlook-dev", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c023f9010fb3a7f3e550c56a9283c477e6ca096.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 137575, "full_name": "Daniel Farrell", "title": "Founder/CEO", "founder_bio": "Founder & CEO of Onlook. \n\nDesigner, GTM strategist, and micromobility maniac building in the design <> dev space.\n\nProfessional designer for over a decade, first 100 employee at Bird on the Global Expansion Strategy team, cofounder of Wanderlift (long-distance ridesharing) and former Head of Growth at DIMO. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/danielrfarrell/", "x_url": "https://twitter.com/D_R_Farrell", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/24ff7171a829e5e9593b970dcb066d9c37829abb.jpg" } ], "jobs": [ { "id": 74305, "title": "Founding Engineer (Fullstack)", "url": "https://www.ycombinator.com/companies/onlook/jobs/e4gHv1n-founding-engineer-fullstack", "location": "San Francisco, CA, US / Remote (US; CA)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $200K", "equity_range": "1.00% - 4.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Node.js", "PostgreSQL", "React", "TypeScript", "Next.js", "Tailwind" ] } ], "news": [], "launches": [ { "id": 87467, "title": "Onlook – Cursor for Designers", "tagline": "An open-source, visual editor that makes it easy for designers and developers to collaborate in code.", "body": "**TL;DR – **[**Onlook**](http://onlook.com/?utm_source=launch_yc&utm_medium=social&utm_campaign=yc_launch)** is building the Cursor for designers, making it easy for designers and developers to collaborate in code. Onlook’s open-source visual editor was the **[**#1 trending repo**](https://github.com/onlook-dev/onlook/)** on GitHub, and has over 6.8k stars.**\n\n➡️ [Try Onlook today](http://onlook.com/download?utm_source=launch_yc&utm_medium=social&utm_campaign=yc_launch) ⬅️\n\nHere’s a [sneak peak of what it’s like to design with Onlook.](https://www.youtube.com/watch?v=wDity8UrIxE)\n\nHey there, we’re Daniel and Kiet, and we’re building Onlook ([onlook.com](http://onlook.com/?utm_source=launch_yc&utm_medium=social&utm_campaign=yc_launch)), the Cursor for Designers. \n\n### **The Problem**\n\nThere have been many attempts at solving the problem of design to dev handoff. But for so many tools in the market, there was always compromise. Either the tools were too complex for designers or too cumbersome for engineers to implement.\n\nThey were all built to abstract away code, but we’re in a new era of product development—where code isn’t the barrier. The real challenge is giving builders the best way to work with it. In other words, creating things with code has become more of a UX problem than a technical one.\n\n### **Our Solution**\n\n![uploaded image](/media/?type=post&id=87467&key=user_uploads/137575/f4e651b1-8cc2-4f41-8512-09500cf2cd0d)\n\nOur product can be best described as a visual IDE – you can either start with building a new app from a prompt, or import your existing NextJS / Tailwind app with Onlook. Once you run your app, you can start designing the interface directly as it’s rendered.\n\n![uploaded image](/media/?type=post&id=87467&key=user_uploads/137575/7a85a948-73c8-418f-9420-155cdec6d2de)\n\nWant to change a color? Want to move a div? Want to create a new page? You can do it yourself, or ask Onlook’s AI chat to do it for you. Because everything is one-to-one in code, you’re creating the real product with your edits, and you can always right-click to view your code in your preferred code editor.\n\nAnd, when you’re ready to share your creation with the world, you can host your project through Onlook with just a click.\n\n### **How we got here**\n\nWe started Onlook because we had experienced both sides of the design / engineering gap. Daniel has been a designer for over a decade, and Kiet was an engineer at ServiceNow and Amazon working directly with designers. \n\nKiet reached out to Daniel on YC’s Cofounder matching platform after starting the company in January of 2024, and shortly after we decided to team up and work together. If you’re looking for a cofounder, we [wrote a bit](https://onlook.substack.com/p/how-to-find-a-cofounder) about that process that you may find useful on our company Substack. \n\nWe [launched on Hacker News](https://news.ycombinator.com/item?id=40904862) and the project quickly earned over 1k GitHub stars. People were compelled by the idea of an open-source visual editor for code, and it felt like the timing was right. Since launching, we’ve continued to refine our editor to make it even better, and have since earned **6.8k stars**, tons of contributions.\n\nAlso, Onlook was recently ranked as the **#1 trending repo on GitHub**!\n\n![uploaded image](/media/?type=post&id=87467&key=user_uploads/137575/79a6fb56-14c8-4c1e-b815-9261e651199a)\n\n### **Use Onlook**\n\nYou can get started today by [downloading Onlook](http://onlook.com/download?utm_source=launch_yc&utm_medium=social&utm_campaign=yc_launch). \n\nPeople use Onlook for **prototyping ideas**, for **building their product**, and for **hosting their website**. Thanks to [Paratus Health](https://paratushealth.com/), [SalesPatriot](https://salespatriot.com/), [Calltree.ai](http://Calltree.ai), [NextByte](https://trynextbyte.com/), [Casixty](https://casixty.com/), [TrainLoop](https://trainloop.ai/), and [Scout](https://www.scoutforschools.com/) for being early partners and for using Onlook to build their sites and products! \n\n### **Asks**\n\n* **Try Onlook** out and reach out to us with your feedback and questions. We love when people send us screen recordings, written feedback, and ideas. Email Daniel – [daniel@onlook.com](mailto:daniel@onlook.com).\n* **Contribute** – Help us build the future of design and development tools! We have an active community of contributors from all over the world, and working on a design editor is very fun. Feel free to [browse our open issues and contribute](https://github.com/onlook-dev/onlook/issues), or [support the project with a star](https://github.com/onlook-dev/onlook/)! ⭐  \n* **Follow us** – We put out a lot of content in a lot of places:\n * Join our [Discord community](https://discord.gg/ZZzadNQtns)\n * Follow [Onlook on X](https://x.com/onlookdev)\n * Follow [Onlook on LinkedIn](https://www.linkedin.com/company/onlook-dev/)\n * Subscribe to [Onlook on YouTube](https://www.youtube.com/@OnlookDev)\n * Subscribe to [Onlook on Substack](https://onlook.substack.com/) – we like sharing our learnings of building a company in detail here\n\nOnlook is building **the uncompromising design and development tool** – One familiar to designers and infused with AI to make excellent code that developers love.\n\nWith Onlook, we hope to empower anyone to make incredible websites, incredibly fast, and we can’t wait to see what you create!\n\n### **About Us**\n\n![uploaded image](/media/?type=post&id=87467&key=user_uploads/137575/a2562297-969e-420b-b563-adea12dea8be)\n\nOnlook is founded by Daniel Farrell ([LinkedIn](https://www.linkedin.com/in/danielrfarrell/)), a designer with a decade of design consulting experience, a first 100 Bird employee, and former Head of Growth at DIMO, and Kiet Ho ([LinkedIn](https://www.linkedin.com/in/kiet-ho/)), a former engineer at Amazon and ServiceNow.", "url": "https://www.ycombinator.com/launches/Mkl-onlook-cursor-for-designers", "votes": 71, "created_at": "2025-02-06T15:20:12.926Z" } ] }, { "id": 30020, "name": "Invo", "slug": "invo", "former_names": [ "Radah", "Rada", "rada", "Rada" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a1fd3feaabb1bf7c02242dc68b14d1871864599f.png", "website": "https://www.tryinvo.com/", "all_locations": "", "long_description": "", "one_liner": "infra for computer use agents", "team_size": 1, "industry": "B2B", "subindustry": "B2B", "launched_at": 1739468184, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/invo", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/invo.json", "year_founded": 2024, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/invo-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a1fd3feaabb1bf7c02242dc68b14d1871864599f.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": [], "jobs": [], "news": [], "launches": [] }, { "id": 30160, "name": "Quantstruct", "slug": "quantstruct", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/64b5db172bf1cde01b3812d4221d26658881fead.png", "website": "https://quantstruct.com", "all_locations": "San Francisco, CA, USA", "long_description": "Quantstruct automatically creates and improves product documentation, implementation guides, and changelogs for API & SDK products, web-based enterprise software, and internal applications.\r\n\r\nQuantstruct identifies gaps in your knowledge base based on each product release or unfulfilled customer query. It uses multiple AI agents to search existing knowledge sources, test existing docs for validity and style guidelines, and clicks, scrolls, and uses enterprise software through a web browser to generate docs with embedded screenshots and video recordings. Quanstruct is available as a cloud service to start, targeting technical writers, content writing, professional services, and product teams.\r\n\r\nTraditional generative AI tools risk hallucinating critical API & SDK fields, even with RAG based approaches. Purely agent-based approaches risk providing unpredictable output that can diverge from desired documentation processes. Finally, no company’s review and publishing workflow is the same. Quantstruct is the easiest way to onboard and customize AI agents to continuously improve your documentation based on your customer needs and product evolution. https://quantstruct.com", "one_liner": "AI documentation engineer – test & autoimprove stale product docs", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1736668232, "tags": [ "Developer Tools", "B2B", "API", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "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/quantstruct", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/quantstruct.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/quantstruct", "x_url": "https://x.com/quantstruct", "fb_url": null, "cb_url": null, "github_url": "github.com/quantstruct", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/64b5db172bf1cde01b3812d4221d26658881fead.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": 120963, "full_name": "Sarthak Srinivas", "title": "Founder/CEO", "founder_bio": "Cofounder of Quantstruct (YC W25). Building robot housekeepers for hotels.\n\nPreviously shipped agent developer platform from 0 to mid-$X million as product lead while onboarding multiple Fortune 100 companies at Moveworks. Published research with Google Glass inventor (who coined “wearable computing”) at Georgia Tech.", "is_active": true, "linkedin_url": "https://linkedin.com/in/sarthaksrinivas", "x_url": "https://x.com/sarthaksrinivas", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/53c8d474f7b538952351293be7419ca04ffed1f7.jpg" }, { "user_id": 1091044, "full_name": "Newman Hu", "title": "Founder/CTO", "founder_bio": "Co-founder of Quantstruct. We're building AI agents to create the best documentation for your product. Newman previously built search infrastructure at Moveworks and Replit (YC W18), where he managed mission critical platforms powering Gen AI experiences for Fortune 500 companies. EECS @ Berkeley", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/newmanhu/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/88254d54a8617f62e7b8bcf5ecd8f107a1e630eb.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87136, "title": "Quantstruct 🤖 – Improve Your Technical Docs 24x7 with AI Agents", "tagline": "Kill documentation debt, update docs automatically, research & validate docs", "body": "# **tl;dr**\n\nQuantstruct is an AI technical writer that improves your documentation 24x7 with agents to research, test, and update your docs. We already work with hypergrowth companies like [Vapi (YC W21)](https://vapi.ai) and enterprises who build API & SDK products, visual software, and platforms where nurturing a vibrant developer and partner community with bespoke docs helps you win.\n\n[Sign up to get onboarded](https://quantstruct.com) today!\n\n\n\n## **Problem**\n\nThe best product & customer teams stomach some difficult truths to serve their customers today:\n\n1. **Product & customer education demands active effort** from product and engineering experts with limited time\n2. **Teams need to understand too much** source code, support, communication threads & product specs to properly guide customers\n3. **High-quality docs require 100% validation** to test code snippets, external links, accessibility guidelines, take screenshots, and other references. Traditional Gen AI falls short.\n4. **Helping customers supersedes keeping docs up to date**\n\nThe result? **Documentation debt** - where your product and technical docs & implementation plans go increasingly out of sync.\n\nWe felt this pain thousands of times previously, when we helped Fortune 500 customers integrate with 100s of enterprise software platforms that were poorly documented. We saw how **documentation debt** could escalate customer support issues and lead to customers not adopting and championing the platform.\n\nWe also saw how paying down documentation debt could amplify each team’s impact, inspire customer love, and help nurture a community of strongly activated champions.\n\n## **Solution**\n\nQuantstruct connects to your docs platform, GitHub, and Slack to continuously update your docs\n\n1. When a **PR** occurs, Quantstruct works behind the scenes and notifies you about a companion docs update\n2. Each type of doc update can be configured with tools and agents to\n * _Check WCAG accessibility guidelines_\n * _Check broken links_\n * _Take screenshots and videos_\n * _Generate system architecture diagrams_\n * _Validate code blocks_\n * _and much, much more._\n3. You can manually edit the doc or provide high-level instructions, and Quantstruct updates and publishes the necessary sections without work\n4. Quantstruct’s platform will take care of the hard bits of coordinating multiple agents, self-evaluating and improving performance, following your specific review & publishing workflows\n\n## **The ask**\n\nSign up for [Quantstruct](https://quantstruct.com), and install our GitHub and Slack apps to get started! You can also reach out to [founders@quantstruct.com](mailto:founders@quantstruct.com) to guide you through the onboarding process.\n\n# **The team**\n\n**Sarthak** has worked at growth-stage companies like Moveworks as a Kleiner Perkins product fellow, where he built an agent developer platform from 0 to $2+ million.\n\n**Newman** has built search infrastructure at Moveworks and Replit (YC W18), where he managed mission-critical platforms powering Gen AI experiences for Fortune 100 companies.\n\nBoth are published researchers and patent holders from **Georgia Tech CS** and **Berkeley EECS,** respectively.\n\nWe’ve spent our careers building for developers at enterprise software companies and deeply empathize with the pressures that support, customer success, product, and GTM teams face to build world-class developer products and ecosystems.\n\n![uploaded image](/media/?type=post&id=87136&key=user_uploads/120963/9b5326c4-b1e2-4845-ae3f-1ac50417a262)\n\n", "url": "https://www.ycombinator.com/launches/MfQ-quantstruct-improve-your-technical-docs-24x7-with-ai-agents", "votes": 78, "created_at": "2025-01-24T17:03:08.473Z" } ] }, { "id": 30165, "name": "Edexia", "slug": "edexia", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6c47809acef827e8266fe22b15646d39f5911391.png", "website": "https://www.edexia.com/", "all_locations": "Brisbane, QLD, Australia", "long_description": "Edexia is an AI Teacher Assistant for grading essays. It can be trained and controlled by the teacher and can grade assignments from any curriculum, year level, subject, or format. \r\n\r\nLearning like a teacher, Edexia visually breaks down its understanding of the rubric, and updates this as a teacher corrects it.\r\n\r\nOur vision is to transform education by facilitating AI’s safe and effective integration across all institutions and applications. Not using AI to replace teachers but rather to empower them—providing them with all the time and resources they need to develop their students.", "one_liner": "AI Teacher Assistant for Grading Essays", "team_size": 4, "industry": "Education", "subindustry": "Education", "launched_at": 1733896630, "tags": [ "AI-Enhanced Learning", "Education", "SaaS", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Education" ], "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/edexia", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/edexia.json", "year_founded": 2023, "city": "Brisbane", "country": "AU", "linkedin_url": "https://www.linkedin.com/company/edexia-ai/", "x_url": "https://x.com/EdexiaAi", "fb_url": "https://www.facebook.com/people/Edexia/61573196551815/#", "cb_url": "https://www.crunchbase.com/organization/edexia/", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6c47809acef827e8266fe22b15646d39f5911391.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": 1485291, "full_name": "Daniel Gibbon", "title": "Founder/CEO", "founder_bio": "CEO of Edexia. Second-time technical founder. Previously built an EdTech to 200k ARR at 18 in 1 year while achieving a perfect GPA. TEDx Speaker on AI in education. Ranked in the top 30 in my state out of high school. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/daniel-gibbon-/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9ddc48143a5db5276ad254ac68a474e7f04ca806.jpg" }, { "user_id": 1485300, "full_name": "Nathan Wang", "title": "Founder/CTO", "founder_bio": "CTO of Edexia. Second-time technical founder. Previously built an EdTech to 200k ARR at 17 in 1 year while achieving a perfect GPA. Ranked in the top 200 in my state out of high school.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nathan-wang-b73966235/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2569b3d8c98d012d8b5357cd20f6f32e74f0430d.jpg" } ], "jobs": [ { "id": 76273, "title": "Engineer", "url": "https://www.ycombinator.com/companies/edexia/jobs/eAEdKOv-engineer", "location": "Brisbane, QLD, AU / Brisbane, Queensland, AU / San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$80K - $200K", "equity_range": "1.00% - 3.00%", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [ "Python", "TypeScript", "AI Agents" ] }, { "id": 97188, "title": "Founding School Partnerships Lead / Account Executive", "url": "https://www.ycombinator.com/companies/edexia/jobs/RHxYDtn-founding-school-partnerships-lead-account-executive", "location": "Brisbane, QLD, AU / Brisbane, Queensland, AU / Remote (Sydney, NSW, AU; Sydney, New South Wales, AU; Melbourne, VIC, AU; Melbourne, Victoria, AU)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $500K", "equity_range": "0.10% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 108867, "title": "Founders Associate", "url": "https://www.ycombinator.com/companies/edexia/jobs/UGX51yr-founders-associate", "location": "Brisbane, QLD, AU / Brisbane, Queensland, AU", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$50K - $100K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [ { "title": "Elite Qld schools trial AI to mark student work | The Courier Mail", "url": "https://www.couriermail.com.au/queensland-education/schools-hub/elite-qld-schools-trial-ai-to-mark-student-work-ease-load-on-teachers/news-story/5e886cc83b78ca0a3aa7d2d5cb9dd7e0", "date": "Feb 14, 2025" }, { "title": "Ventures alumni lands in SF - Ventures - University of Queensland", "url": "https://ventures.uq.edu.au/blog/2025/01/ventures-alumni-lands-sf", "date": "Feb 06, 2025" }, { "title": "Brisbane AI edtech Edexia accepted into Y Combinator", "url": "https://www.businessnewsaustralia.com/articles/brisbane-ai-edtech-edexia-accepted-into-y-combinator-for-2025.html", "date": "Nov 11, 2024" } ], "launches": [ { "id": 86220, "title": "Edexia: AI Teaching Assistant for Grading Papers", "tagline": "AI that learns like a teacher—delivering higher-quality, more frequent gradings in up to 100% less time", "body": "# TL;DR\n\nEdexia is an AI teaching assistant that grades papers for teachers. It learns the style of each individual teacher, so it can grade just like they do, saving up to 100% of grading time.\n\nEdexia can grade assignments from any curriculum, year level, subject, or format. Learning like a teacher, it visually breaks down its understanding of the rubric, and then updates this, as a teacher corrects its grading on the fly.\n\n[Watch the demo video here!](https://youtu.be/43dOCAkHDO8)\n\n# **👥** Founding Story\n\n![uploaded image](/media/?type=post&id=86220&key=user_uploads/1485291/dd7010a0-0ce6-4ea9-9f96-274ded8cbce0)\n\nWe’re Daniel and Nathan. We met at university after both graduating among the state's top students (top 30 and 200). Our shared goal of making a meaningful impact through our careers, combined with our passion for education and technology, led us to launch our first EdTech company. After growing it to $200K ARR in just over a year, we pivoted to Edexia to pursue an opportunity with even greater potential for positive impact.\n\n# **🌍** Our Vision\n\nWe want to transform education by facilitating the safe and effective integration of AI across all institutions and applications. Not using AI to replace teachers but rather to empower them—providing them with all the time and resources they need to develop their students.\n\n# 🚀 Progress\n\nSince launching on August 1st, we have already collaborated with 11 of Australia's best schools in Q4 2024 and are arranging an additional 30 partnerships for Q1 2025. We aim to positively impact every institution in every country in the near future.\n\n# 🙏 Our Ask\n\n1. **Work in education?** We'd love to talk and see if your institution could benefit from this technology. [Book a call here.](https://tidycal.com/danielbcgibbon/edexia-online-demo-and-discussion)\n2. **Know any educators?** Please forward them our demo video and cc [daniel@edexia.com.au](mailto:daniel@edexia.com.au)\n3. **Passionate about EdTech?** Let's connect! Just email me at [daniel@edexia.com.au](mailto:daniel@edexia.com.au).", "url": "https://www.ycombinator.com/launches/MQe-edexia-ai-teaching-assistant-for-grading-papers", "votes": 29, "created_at": "2024-12-11T19:08:12.734Z" } ] }, { "id": 30172, "name": "Enhanced Radar", "slug": "enhanced-radar", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/97af6428ccfdfbaa94b52ffdadc13d8b1f2609b3.png", "website": "https://www.enhancedradar.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Enhanced Radar is building better, safer air traffic control systems.", "one_liner": "AI for air traffic control", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1740622657, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/enhanced-radar", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/enhanced-radar.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/enhanced-radar/?viewAsMember=true", "x_url": "https://x.com/EnhancedRadar", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/97af6428ccfdfbaa94b52ffdadc13d8b1f2609b3.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": 805992, "full_name": "Eric Button", "title": "Founder/CEO", "founder_bio": "Building AI for air traffic control. 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Statistics & Computer Science @ Columbia", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kaylord/", "x_url": "https://x.com/kayolord", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3d997ffbbc91241def17c17986069ad8fdeb8628.jpg" } ], "jobs": [ { "id": 74235, "title": "All roles", "url": "https://www.ycombinator.com/companies/enhanced-radar/jobs/72uOEyN-all-roles", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$160K - $250K", "equity_range": "0.50% - 5.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "C++", "Go" ] } ], "news": [], "launches": [] }, { "id": 30174, "name": "Revise Robotics", "slug": "revise-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f4e9ac60aa5b0583ce914c6dee2848e5b72c4b4f.png", "website": "https://www.reviserobotics.com/", "all_locations": "New York City, NY, USA", "long_description": "E-waste recycling facilities spend most of their time and effort sifting through discarded electronics, searching for valuable devices, refurbishing them, and reselling them in second-hand markets.\r\n\r\nOur first product is an AI-enabled robotic system that integrates with these facilities to assess and refurbish hundreds of laptops a day without any human intervention. The system tests laptops, wipes their hard drives, photographs them, and posts them on online marketplaces for resale, regardless of model, manufacturer, or operating system.", "one_liner": "Automating refurbishment of $1T in consumer electronics", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1737068200, "tags": [ "Robotic Process Automation", "ClimateTech", "Electronics" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": true, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/revise-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/revise-robotics.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/revise-robotics/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f4e9ac60aa5b0583ce914c6dee2848e5b72c4b4f.png", "app_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/bf-public_profile/30227/app_video.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAODIUI2QA%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022724Z&X-Amz-Expires=60&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEHEaCXVzLXdlc3QtMiJGMEQCICdQyGY%2BbftNLxtKIYzFPxdUXttuiP0N09%2F%2BUfBHiBuhAiBOSl161zU1GSzXg078adXidT%2BI1mNTN00xIiFabrEuZSrlAwg6EAAaDDAwNjIwMTgxMTA3MiIMkex8rUdJQnYvqkb2KsIDZvHjdb5Nj1eMSDUiIIyyiwfJ8RyPFxer5o1XPlMS8x%2FtN9n%2F7PvS5Wd7oFPHi1qVxZAOUh%2BsJ%2B%2BXOPvWZ3Ae6ZZbt6%2BpSxxIqhHajGvQPEffXaUpP5qEh5zdOBvoNiFOEcL3U5kvAXPdFAeyEQUSC22Zz6qlwEbD4gyjAVIG69Bq2BqpO5gGA142dDrsMk9Fpvvrw4sUrmoFsqVRjQeNNnbJ6kGBUpNWGmGUg9xVdF1g6zjy5AOLq9gaZMWpGvdL2up4UE8tZcCtovhQX7LttuknA2oMDZbhb%2Bm1111BTyQwfpo0mzYMWvLSVFktebdbrXNkCCYHuwzkc%2FAYLLBCHcwr959rGhfijkmBq8zJ6L%2F3m2hFjzDHCnZYPOz0rFWk1O%2FdpaLpo4%2B83owIv8pdLkfxnSwz7jpV83o7ddFuQwi3GyYhgDV9NKraaZUPDf35OffhHBAa9LNH9KBtXE%2B9EJapzAmTZRHX0y1pAaJdqK7NnCs3JXj5MlJbG%2Fk7qe6hMwsDLiNtlbMQ85QzyJJHGU4y3dM2z2PBRjDSvRfVwapQjnLimR6h7fxLZHe1JssWKCLL3Y7dNZqEc8LFx7ZPmRWFMOj92tYGOqYB1OGPMkYIGSgzUnwJVB6Fm37ysfFBg0lS7An85D5284tv08ntQNXM%2B3NjFf0CnSg8DB6Uagn6Pf8Hz0vPosKjbkPeKHdUWICNI6ZBqrBsIZuFlEJamVl3d%2B5M5pi50RkfxaC0jUNRP0kzypvFoXoBWM5zGuVWthjEJhSlwkhKt8FAj4eChg9bDGTNeM9DkgbxKs0YI84QCmRK0pRtLAv0T11YvQ%2FTTg%3D%3D&X-Amz-SignedHeaders=host&X-Amz-Signature=a3315cd1ec85a06bb175d3d79563ec6a79b849bc96062b59f3ad085e840ea3d8", "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 943950, "full_name": "Rupesh Jeyaram", "title": "Founder/CEO", "founder_bio": "Building AI-enabled robotic systems to refurbish and resell used electronic devices, starting with laptops. Wharton '24, Caltech '20", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rupesh-jeyaram/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e904201852f0dfce14feb1c345d0be02af322b85.jpg" }, { "user_id": 1985135, "full_name": "Antonio Monreal", "title": "Founder/CTO", "founder_bio": "Developing robots for electronics refurbishment", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/antonio-monreal-71b0751b5/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d0a1cb5d67efed639fbb5772386daa39d0e6a022.jpg" } ], "jobs": [ { "id": 93937, "title": "Business Development Intern – Summer/Fall 2026", "url": "https://www.ycombinator.com/companies/revise-robotics/jobs/cNqu0M0-business-development-intern-summer-fall-2026", "location": "New York City", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$8K - $12K / monthly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 93938, "title": "Engineering Intern — Summer/Fall 2026", "url": "https://www.ycombinator.com/companies/revise-robotics/jobs/peSRWPy-engineering-intern-summer-fall-2026", "location": "New York City", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$8K - $12K / monthly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 87007, "title": "Revise Robotics – Automated Electronics Refurbishment 🦾 💻", "tagline": "Our robot tests, refurbishes, and resells used electronics devices!", "body": "**At Revise Robotics, we’re building automated systems to refurbish and resell used electronics.**\n\n![uploaded image](/media/?type=post&id=87007&key=user_uploads/943950/79b9f19d-2610-4a84-b329-7b8624645181)\n\nEvery year, Americans discard more than **30 million computers**. Many of these devices find a second life on the resale market, extending their usefulness and reducing their environmental footprint.\n\nHowever, the process – inspection, data-wiping, reprogramming, and packaging – is **extremely** **tedious and time-consuming**, limiting how many devices can actually re-enter circulation.\n\nWe’re changing that. With robotics, computer vision, and AI, we’re breaking down these barriers and advancing a more circular electronics industry 💻\n\nWe just completed our first pilot project last month, and we are excited to be iterating and gearing up for our second pilot at the end of February!\n\n**Ask**: Introductions to e-waste recycling facilities or IT asset management/disposition companies. Please reach out if there’s someone you think we should speak to! [rupesh@reviserobotics.com](mailto:rupesh@reviserobotics.com) \n\n# **Full Demo Video**\n\n[**https://youtu.be/QMFTsSG-FyQ**](https://youtu.be/QMFTsSG-FyQ)\n\n# **Still Shot**\n\n![uploaded image](/media/?type=post&id=87007&key=user_uploads/943950/ca646ef9-8d31-4865-93cd-6b629a1612c3)\n\n", "url": "https://www.ycombinator.com/launches/MdL-revise-robotics-automated-electronics-refurbishment", "votes": 27, "created_at": "2025-01-21T16:43:12.194Z" } ] }, { "id": 30176, "name": "Outship", "slug": "outship", "former_names": [ "Trace" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/500ff8202faf0a9f25c1a4ee0f51ff6e2499c9b6.png", "website": "https://outship.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Software engineering is being rewritten in real time, and hiring is getting pulled along for the ride. \r\n\r\nWith tools like Claude Code and Cursor, being able to ship is the new baseline. The signal for finding extraordinary engineers is the process: how candidates break down work, steer the agent, make tradeoffs, and recover when things break. \r\n\r\nOutship is a recruiting tool that allows you to capture and analyze that process alongside the final code so you can hire with confidence.\r\n\r\nCandidates work in a cloud workspace that's ready to code. We handle the environment setup and secret management to give you a level testing ground.", "one_liner": "Hire amazing engineers by seeing how they use AI", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Recruiting and Talent", "launched_at": 1738662568, "tags": [ "B2B", "Recruiting", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "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/outship", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/outship.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/showcase/outshipai/", "x_url": "https://x.com/outshipai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/500ff8202faf0a9f25c1a4ee0f51ff6e2499c9b6.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": 979984, "full_name": "Saner Cakir", "title": "Founder/CEO", "founder_bio": "now: outship.ai – hire amazing engineers by seeing how they use AI\nbefore: robot learning at Berkeley AI Research", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/saner-cakir-697385300/", "x_url": "https://x.com/sanerc110", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/97e66417507f4bec6d78b257780c911062ea4ef7.jpg" }, { "user_id": 1639012, "full_name": "Kayla Lee", "title": "Founder/COO", "founder_bio": "now: outship.ai – hire amazing engineers by seeing how they use AI \nbefore: nlp at Berkeley AI Research ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kayla-lee-715149160/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1608169311eaf6066a938178720df7529b18d4d7.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98459, "title": "Outship 🚀 | 👨‍💻 Hire amazing engineers by seeing how they use AI", "tagline": "Outship is a recruiting platform that records and analyzes how engineering candidates use coding agents.", "body": "**TL;DR:** Outship is a recruiting platform that records and analyzes how engineering candidates use coding agents. Import a task repo from GitHub and send an invite link for a take home or an interview. We spin up a cloud workspace for them to work in.\n\n![uploaded image](/media/?type=post&id=98459&key=user_uploads/979984/e030f7b7-7cf7-4d83-bcd3-402c750994d0)\n\n# ⁉️ Why?\n\nEveryone’s feeling the AGI when it comes to coding. We spoke with over 50 YC teams in the past few weeks, and almost all of them are aggressively using coding agents to build product.\n\nThis naturally means that the skills that differentiate an okay engineer from an amazing one have changed significantly! Teams are no longer hiring for typing out code character by character. Instead, they need ambitious builders who can leverage the latest tools and techniques to achieve in a day what a team of five used to achieve in a week.\n\n* “I usually ask them which agent they are using. If it’s still Cursor, I’ll send them to the bottom of the queue” – YC founder 🤵\n* “If they know the latest stuff like a Ralph loop, that’s usually a really good sign that they are passionate” – another YC founder 💁‍♀️\n\nSeeing a candidate work with AI can give you a lot of signal about their thought process and whether they’re the engineer you’re looking for.\n\nThe YC application, along with several companies, now asks applicants to attach AI agent sessions:\n\n![uploaded image](/media/?type=post&id=98459&key=user_uploads/979984/93653791-8e34-4aaa-a2c5-d5f9ceec3de2)\n\n## 💩 Existing hiring tools can’t capture this\n\nTools like CoderPad and HackerRank have tried to band-aid a “AI Agent” on their Leetcode interview platforms, but honestly, these toy environments and their crappy GPT wrappers have nothing to do with how your engineers work today.\n\n![uploaded image](/media/?type=post&id=98459&key=user_uploads/979984/ad12a850-2927-42ae-a154-71ebb0394c61)\n\n# 🚀 The Solution\n\nWe’ve built a platform to send tasks to candidates and record how they work on them with coding agents. We then analyze their implementation and coding agent sessions against customizable rubrics.\n\n\n\nOutship spins up a cloud VM and drops the candidate into a browser based VS Code workspace with coding agents ready to use. They get a real remote machine: they can use the terminal, run web apps, forward ports, and more!\n\nWe handle the environment setup and secrets management so you can evaluate candidates on a level playing field.\n\n# 🦞 Our Ask\n\n1. If you are hiring engineers, try [outship.ai](https://outship.ai/)! I will personally help you get set up. (in person in SF Bay Area or over Zoom elsewhere)\n2. If you want to chat more, book a meeting: [cal.com/saner/outship](https://cal.com/saner/outship?overlayCalendar=true)\n3. If you know founders hiring engineers, we’d love an intro: [saner@outship.ai](mailto:saner@outship.ai)", "url": "https://www.ycombinator.com/launches/Pc3-outship-hire-amazing-engineers-by-seeing-how-they-use-ai", "votes": 10, "created_at": "2026-03-05T00:39:46.018Z" } ] }, { "id": 30177, "name": "Bild AI", "slug": "bild-ai", "former_names": [ "Comply AI", "Bilds AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8e9f3a32db39a8212bb016c786d67f53ed0bf27c.png", "website": "https://www.bild.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Bild AI automates Division 8 estimating — doors, frames, and hardware — end to end. Bild AI reads blueprints and specs, generates opening (door) schedules automatically, prices the bid, and exports it directly into the ERPs Division 8 shops already run on, including Comsense, Avaware, and ProTech.\r\n\r\nDivision 8 estimating is the brutal trifecta of nitty-gritty details, where typos cost hundreds of thousands, and timelines are tight. Thousands of pages of specs, hardware sets cross-referenced by hand, and a single missed opening that can sink a bid's margin. Bild AI collapses days of takeoff into hours, and clients have bid 50% more with smaller estimating teams.\r\n\r\nBacked by Khosla Ventures (YC W25).", "one_liner": "AI estimating & detailing for Division 8 doors, frames & hardware", "team_size": 9, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction -> Construction", "launched_at": 1738874630, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Real Estate and Construction", "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/bild-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/bild-ai.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/bild-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8e9f3a32db39a8212bb016c786d67f53ed0bf27c.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": 1759634, "full_name": "Roop Pal", "title": "Founder", "founder_bio": "Co-founder of Bild AI. Graduated Columbia University with BS in CS at 19. Hired as youngest full-time engineer at Google, rated top 6% across company. Computer Vision and Machine Learning at Google and Waymo. 2x founder. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rooppal/", "x_url": "https://x.com/roop_pal_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4c7496ed10659c686a3a9cfadf0a61132bc69131.jpg" }, { "user_id": 2392093, "full_name": "Puneet Sukhija", "title": "Founder", "founder_bio": "Co-founder of Bild AI. Built first house at 16. Built hundreds of houses over 7 years before getting acquired at 23. Dropped out of CS at University of British Columbia.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/puneet-sukhija-bb58ba1a0/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0f8432f937a49051ca49fb3b53086d082dbfa6be.jpg" } ], "jobs": [ { "id": 80596, "title": "AI/SWE Intern", "url": "https://www.ycombinator.com/companies/bild-ai/jobs/mm6UUbE-ai-swe-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$3K - $10K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [ "JavaScript", "Python", "React", "TypeScript", "Machine Learning", "Deep Learning", "Computer Vision" ] }, { "id": 95100, "title": "Founding AI Engineer", "url": "https://www.ycombinator.com/companies/bild-ai/jobs/Q1T0Imf-founding-ai-engineer", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $180K", "equity_range": "0.10% - 0.40%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 95101, "title": "Founding Product Engineer", "url": "https://www.ycombinator.com/companies/bild-ai/jobs/dAbC3Gd-founding-product-engineer", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $180K", "equity_range": "0.10% - 0.40%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "AI Startup Bild Raises $3.1 Million for More Affordable Housing - Business Insider", "url": "https://www.businessinsider.com/ai-startup-bild-3-million-seed-affordable-housing-2025-6", "date": "Jul 03, 2025" } ], "launches": [ { "id": 87575, "title": "Bild AI – Read and Understand Blueprints using AI", "tagline": "Read construction blueprints to extract material and cost data", "body": "# **tl;dr**\n\nBild AI reads construction blueprints and extracts material and cost data for builders. Our software automates the $50B/year spent on manual blueprint processing. Watch our demo [here.](https://youtu.be/Brj5QnphFxg)\n\n# **The Problem**\n\nWorking with construction blueprints to get material and cost estimates is a manual process, involving drawing on blueprints by hand. This is time-consuming and prone to human error, which can lead to tens of thousands of dollars in losses per project. It bottlenecks builders and suppliers from winning new contracts as they’re bogged down with the tedious process of bidding. There are massive manual estimation and bidding teams in-house and outsourced.\n\n# **Our Solution**\n\nWe're bringing construction blueprints into the present with artificial intelligence. Bild AI ingests blueprint files and applies computer vision models and large language models to calculate detailed material quantity and cost estimates for flooring, doors, hardware and more. Our first clients are using Bild AI to bid on 10x more projects, with confidence in the accuracy of the estimates. This is just one application of blueprint processing that our clients use today, but our vision extends to permitting and architecture checks.\n\n![uploaded image](/media/?type=post&id=87575&key=user_uploads/1759634/96a6ca22-fda3-4175-88f2-e41afa960a10)\n\n# **We are \\[Housing|Software\\] Developers**\n\n[Puneet Sukhija](https://www.linkedin.com/in/puneet-bild/) built his first house at 16 and has since overseen hundreds of construction projects, experiencing firsthand the frustration of working with complex blueprints. [Roop Pal](https://www.linkedin.com/in/rooppal/) started at Google at 19 before moving to Waymo, where he built computer vision models to interpret complex traffic signal patterns for self-driving cars. They are exited founders applying their experience to automate blueprint analysis—helping builders focus on what matters: building.\n\n# **Our Ask**\n\nWe’re scaling our sales! Our first clients are flooring suppliers, but we want to help as many builders as possible so you can:\n\n* **Intro** us to builders, general contractors, manufacturers.\n* **Email** us with thoughts and ideas at [founders@bilds.ai](https://founders@bilds.ai)\n* **Upload** your blueprints at [www.bild.ai](https://www.bild.ai/?utm_source=ycombinator_launches)!", "url": "https://www.ycombinator.com/launches/MmV-bild-ai-read-and-understand-blueprints-using-ai", "votes": 71, "created_at": "2025-02-11T15:46:20.177Z" } ] }, { "id": 30178, "name": "Candor", "slug": "candor", "former_names": [ "Pomelo" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6e3a1be48eb0cf348674d5461251aaa02e645af2.png", "website": "https://www.usecandor.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Candor helps defense and deeptech companies navigate the government procurement process with AI. We inject agents into the procurement process - agents that not only surface opportunities but actively pursue them - giving anyone the same capabilities as large contractors. \r\n\r\nWhen we met at Stanford 4 years ago, it was rare for startups to work with the US Government. In the years that we’ve been involved in the burgeoning Defense Tech ecosystem, a lot has changed. Silicon Valley and the US Government are closer than they’ve been in decades. \r\n\r\nAs fellows in Stanford’s Center for National Security Innovation, we’ve had the privilege of speaking with dozens of government officials who have come to Silicon Valley looking to fund and scale startups solving their most urgent problems. \r\n\r\nHowever, we’ve seen firsthand the struggles these startups face in securing gov funding. Marcus, having spoken with dozens of defense startups in his time helping lead the Stanford Defense Tech Club and trying to set up a national security startup accelerator has seen this especially.\r\n\r\nThat’s why we’re making it easier to find and apply for opportunities, taking the application process from weeks to days.\r\n\r\nWe’re only going to see more cooperation in the coming years. With that, there will be increasingly more funding going towards companies in defense, energy, biotech, quantum, etc. Candor lets you unlock that funding potential.\r\n", "one_liner": "We help companies win government funding with AI", "team_size": 2, "industry": "Government", "subindustry": "Government", "launched_at": 1739054887, "tags": [ "GovTech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Government" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/candor", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/candor.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/candortechnologies", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6e3a1be48eb0cf348674d5461251aaa02e645af2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7bea0c3e36c2f529f7966b26e3bcf039e345081c.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 1819706, "full_name": "Marcus Zimmerman", "title": "Founder/CEO", "founder_bio": "CEO of Candor. Prev & Stanford. Helped run Stanford's DEFCON Technology and National Security Network. Worked on a Defense incubator as a National Security Innovation Fellow. Product/Growth at an ex-YC Startup. Angel Investor in various startups, particularly Defense & GovTech", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/marcus-zimmerman-4878ba245/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7fe2b485c7c7eaab7e82ec56c7cf6598c2654aef.jpg" }, { "user_id": 1004652, "full_name": "Ethne Laude", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO at Candor. Previously interned as a quant trader at Morgan Stanley building low-latency trading systems and as a research scholar at the Space Force. Studied CS systems and Math at Stanford, researching compiling sparse tensor applications to domain-specific hardware. Worked on building a DoD PEO Directory as a National Security Innovation Scholar. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ethne-laude-289801224/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0af7e6598e2ebbd0a3a81cdf5548e7d551331d2b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87558, "title": "Candor - Win Government Funding With AI", "tagline": "Candor helps defense, energy, and biotech startups win tens of billions of dollars in US government funding. Our AI software auto-drafts proposals and ensures full compliance.", "body": "### **Announcing Candor: Win Funding for Your Startup from the US Government with AI**\n\nFour years ago, startups barely worked with the U.S. government. Today, the ecosystem is shifting—fast. Now, the government looks to Silicon Valley and startups to fix its biggest problems.\n\nTens of billions in **non-dilutive funding** are available for startups through **SBIRs, STTRs, and other federal programs**, especially in Defense, BioTech, Aerospace, and Energy. However, most founders either **don’t know about them** or **can’t afford the time and effort** required to apply.\n\nThat’s why we built **Candor**— an **AI search and application drafting platform** that takes the application process from **weeks to days** while ensuring full compliance.\n\n### **What Candor Does**\n\n**AI-Powered Search** – No more scrolling through [**SAM.gov**](http://SAM.gov)**, **[**Grants.gov**](http://Grants.gov)**, or DSIP** to see if your startup can access government funding. Candor **automatically matches** your company with the most relevant funding opportunities.\n\n**AI Proposal Drafting** – Generate **80% of your proposal** by simply uploading your company’s past proposals, technical documents, and slide decks.\n\n**Compliance Checks & AI Red Team Review** – Never get disqualified on a **technicality**. Candor’s AI **evaluates** your application against agency-specific formatting and evaluation criteria.\\\n[**https://www.youtube.com/watch?v=BuB3fjhy9Jo**](https://www.youtube.com/watch?v=BuB3fjhy9Jo)\n\n### **Why This Matters**\n\nWinning can unlock **$2M+ in government funding**(per win), but today:\n\n* **Startups miss out** because finding opportunities is painful and opaque\n* **Most founders don’t have time** to write long technical proposals that can take a month\n* **Expensive consultants** charge **$10K+ per application** with no guarantees.\n\n### **Why We’re Building This**\n\nMarcus helped lead Stanford’s DEFCON Tech and National Security Network. He also worked as a fellow at Stanford’s Gordian Knot Center for National Security Innovation, where he worked on building a campus accelerator for startups that were building in American Dynamism. He saw enough value in helping the massively growing community of startups wanting to access the US gov that he dropped out with 2 quarters left. In the past, he did Growth/Product at an ex-YC Startup.\n\nEthne did CS & Math at Stanford before dropping out. As a fellow at Stanford’s Gordian Knot Center for National Security, she interviewed dozens of government/defense officials and worked on a Department of Defense PEO Directory. She spent past summers Quant Trading at Morgan Stanley, interning at the Space Force, and doing compilers research.\n\n### **The Ask**\n\n* **If you’re a startup** building something that is considered technically innovative, you’re probably eligible for government funding. Talk to us, and we’d love to help. \n* **If you’re a consultant** **or grant writer** in the space, we have built a workspace meant specifically for you guys. We want to make it so you spend less time writing and more time on everything else— all without sacrificing win rates.\n\n**Reach out to us at** [**founders@usecandor.ai**](mailto:founders@usecandor.ai)\n\n![uploaded image](/media/?type=post&id=87558&key=user_uploads/89898/34cd9c0d-4128-4fda-ad4b-11e8b29ab0b0)\n\n", "url": "https://www.ycombinator.com/launches/MmE-candor-win-government-funding-with-ai", "votes": 27, "created_at": "2025-02-10T22:03:22.814Z" } ] }, { "id": 30179, "name": "Vetnio", "slug": "vetnio", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a5005981ef0d73a35ad3b8810eead978401e6e5e.png", "website": "https://vetnio.com/", "all_locations": "Stockholm, Stockholm County, Sweden", "long_description": "Veterinarians spend 40% of their time on admin work, >20% on note taking alone. We're here to change that so they can focus on what really matters - providing the best care possible for animals.", "one_liner": "AI Copilot that automates admin work for veterinary professionals", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1738187804, "tags": [ "SaaS", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Productivity" ], "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/vetnio", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/vetnio.json", "year_founded": 2024, "city": "Stockholm", "country": "SE", "linkedin_url": "https://www.linkedin.com/company/vetnio", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a5005981ef0d73a35ad3b8810eead978401e6e5e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/3ec413ec5f445aa581b1c6ca331f645f8fdb24b9.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 1054865, "full_name": "Arman Karégar", "title": "Founder/CEO", "founder_bio": "Founded three companies and served as the youngest board member ever for two firms with a combined turnover of 100 million euros. Elected politician during university and have 20 years of expertise in audio processing; from optimizing voice recordings to designing custom instruments by shaping waveforms using oscillators, envelopes, and LFOs. Master's in Industrial Engineering and Management from KTH Royal Institute of Technology, with additional studies at Nanyang Technological Institute. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/armankaregar", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c8028b5de1d64bd9f911957bd026fd946cb3f1e1.jpg" }, { "user_id": 1055457, "full_name": "Max Henry Xie", "title": "Founder/CTO", "founder_bio": "Second time founder. Self-taught developer with many chess and hackathon wins. Built machine learning models to combat fraud at big banks. Studied industrial engineering and management at KTH (Stockholm). Dropped out of school to work at Accenture (deployed engineer), then Paypal (AI / data scientist) before founding first his start-up, now working on his second. Accidental tiktok-influencer.", "is_active": true, "linkedin_url": "https://linkedin.com/in/max-henry-xie", "x_url": "https://x.com/maxhxie", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d6ec5784d1133cd410634f02e2a305fd292ce1d4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87809, "title": "Vetnio - Automating admin work for veterinarians with AI 🐾", "tagline": "Vetnio records patient consultations, automating note-taking and other administrative work, so veterinarians can focus more on patient care.", "body": "**TL;DR:**\n\n* ⏰ Veterinarians spend \\~40% of their time on admin work, with note-taking alone making up \\~20% of their time.\n* 🎤 By recording patient meetings, Vetnio automatically generates clinical notes and emails in seconds.\n* ✨ Additionally, Vetnio helps out with diagnostics, follow-ups, invoice generation, and more, reducing the risk of missed revenue for clinics while ensuring optimal care for animals.\n\n[Introducing Vetnio](https://www.youtube.com/watch?v=z6KIg5SJUUk)\n\n# **Who are we and why are we doing this?**\n\nWe are [Arman](https://www.linkedin.com/in/armankaregar/) and [Max](https://www.linkedin.com/in/max-henry-xie/) from [Vetnio](https://vetnio.com). Being close friends for +10 years, Vetnio is the second startup we have co-founded together. We both have exceptional backgrounds within engineering, with Arman having 20 years of audio processing experience and Max being a self-taught developer since childhood.\n\nIt all started when Arman brought his 🐶, Knut  (picture below), to a stressful veterinary visit. He noticed how much time was spent by the veterinarian typing on a keyboard and immediately went on to think how this can be made better. After a quick discussion with Max, the idea for Vetnio was born.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcJzgeyF-gX-baUP0NVgep-EMa_iTLVKHwA9rQoA-Z6QiaTH4EpLeBazL_R_eKkrjHpWEyoNOZB-jKapY7RZ8S4hJesNc3OloZI59SRuyT8aI3ffpGw4lX3YGGRBEbn5k9hIoqThw?key=3XWI3B5KbKFPqOSqe7jrNCyD)\n\n**Problem**\\\nWith a rising patient load, veterinarians are overworked and stressed, leading to mistakes, burnout, and lost revenue. Admin work takes up \\~40% of their time, and that's where Vetnio comes in.\n\n**Solution**\\\nVetnio has built an AI Copilot that records meetings and writes clinical notes, thereby saving veterinarians and clinics time, money, and headaches. Additionally, Vetnio helps out with diagnostics, follow-ups, invoice generation, and more, reducing the risk of missed revenue for clinics while ensuring optimal care for animals.\n\n[Demo video](https://www.youtube.com/watch?v=5PeoKr2yXSw)\n\n**Case studies and traction**\\\nAmong others, we work closely with the global leader in veterinary care, IVC Evidensia, and are currently conducting pilots with several prominent veterinary chains. Recently, the largest veterinary magazine in the Nordics published an independent interview with Evidensia, highlighting how our solution was saving them up to [15 minutes per 45-minute consultation](https://www.svenskveterinartidning.se/effektivare-journalforing-med-ai/), significantly reducing their administrative workload.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfl83aqSvXXbGlasaxpV0KXvgWps3LVxtVBnZiqCJviBcFmdyDyYwQbF6sug1O5t5dOBdLIJZ4jQvmLabMYOKqHTe00w-7iq77XJK00_KgfygNsDw5RCTP0Z6IwtdUB4wTfGfZX?key=3XWI3B5KbKFPqOSqe7jrNCyD)\n\n📸: A veterinarian at Evidensia is reading through the text on Vetnio after a consultation.\n\nRest of the engineers:\n\n* Emil Franzell\n* Arvid Norström\n* Rakin Ali\n* Marcel Laska\n\nOther notable team members include:\n\n* Dr. Jana Böndel, Country Manager Germany: Jana has 10 years of experience as a veterinarian and spent the last 4 years in an Executive Management position at one of the world’s largest veterinary chains. She built up their Telemedicine department. Her expertise bridges veterinary care with innovative digital solutions.\n* Knut, CCO: Chief Canine Officer who has spent his whole life in the pet space.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfvV6K2MqUVSNB2bVib11foOMVFvirQ8QB30POScCAmPVN4_2LroLO3krfFyZjNckQooyW37WXfKnw6KEWpUSCyStgxiPf1sA06FQOSJWcDwUMZX7jHbEbViw6NLQ_enJntrczWYA?key=3XWI3B5KbKFPqOSqe7jrNCyD)\n\n### **Our ask**\n\nWe’re on a mission to make manual admin work a thing of the past.\n\n👉 If you’d like to chat or know any veterinarians or practice owners who might find this helpful, don’t hesitate to reach out to us here: [founders@vetnio.com](mailto:founders@vetnio.com)", "url": "https://www.ycombinator.com/launches/MqH-vetnio-automating-admin-work-for-veterinarians-with-ai", "votes": 18, "created_at": "2025-02-19T15:09:28.249Z" } ] }, { "id": 30181, "name": "Leaping AI", "slug": "leaping-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2cf89546e97aa00342fd94e13a639b43add977d5.png", "website": "https://www.leapingai.com", "all_locations": "San Francisco, CA, USA", "long_description": "Leaping AI is the best platform to deploy voice and texting AI agents for customer service, lead qualification and appointment scheduling. We target mid-market and Enterprise companies and industries are: home remodeling, roofing, pay per call, travel, retail, health insurance, Medicare, health and real estate.\r\n\r\nWe automated contact centers employing >100 human agents and now handle their incoming customer support and appointment scheduling calls, end-to-end. All while maintaining 90% customer satisfaction score.\r\n\r\nPain points that we solve: missed calls, insufficient speed to lead, not enough call center resources, call center inefficiencies, agents not sticking to the script, etc.\r\n\r\nAt its core, we have a multi-channel outreach campaign feature, whereby our customers can call and text potential leads over an arbitrary time period. If end customers call or text back, the Leaping voice or text AI agent can autonomously schedule appointments and resolve service requests.\r\n\r\nSome of our differentiating features: most-human like voice in the market, CRM integrations in place (Salesforce, Hubspot, MarketSharp, AccuLynx, JobNimbus, LeadPerfection, Google, etc.) and white-glove onboarding (in-person for larger accounts). Our AI agents can hold 100+ conversations at once, speak multiple languages and be equipped with company specific FAQ. Lastly, we have our own number health monitoring and DNC software.", "one_liner": "AI voice and texting agents", "team_size": 13, "industry": "B2B", "subindustry": "B2B", "launched_at": 1736780951, "tags": [ "B2B", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Home remodeling and roofing companies that we speak to almost always have one of the following pain points: missed calls, not fast speed to lead, insufficient lead follow ups, dropped leads, not enough staff, etc.\r\n\r\nLeaping AI addresses these pain points with an AI voice and texting platform that allows call centers to run multi-threaded calling and texting campaigns over the span of several weeks. We automate both inbound and outbound calling." } ], "url": "https://www.ycombinator.com/companies/leaping-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/leaping-ai.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/98079414/", "x_url": "https://x.com/leaping_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2cf89546e97aa00342fd94e13a639b43add977d5.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": 1218980, "full_name": "Kevin Wu", "title": "Founder/CEO", "founder_bio": "Founder at Leaping AI, which offers AI voice and texting agents for home remodeling, roofing, etc. Formerly was an Associate at BCG for 3 years. Studied Computer Science at TU Munich and at CDTM.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kevin-wu-452a6393/", "x_url": "https://x.com/kevinwu_hi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7790a047ef37b79518e11f4f21e223a58fc6486a.jpg" }, { "user_id": 2682699, "full_name": "Arkadiy Telegin", "title": "Founder", "founder_bio": "Co-founder at Leaping AI (W25). We are building the only platform for self-improving voice AI agents. Previously worked in autonomous robotics (self-driving cars, space-tech, and consumer applications). Led Germany's largest space-tech student organization's software division.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/a-telegin", "x_url": "https://x.com/akyshnik", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6cc5574b982dc8df9493d60ed4239c8e1cd034ac.jpg" } ], "jobs": [ { "id": 113171, "title": "Tech Lead ($220K+ base salary)", "url": "https://www.ycombinator.com/companies/leaping-ai/jobs/XoTOFrZ-tech-lead-220k-base-salary", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Engineering manager", "salary_range": "$220K - $250K", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 113435, "title": "AI Deployment Strategist (looking for ex-consultants)", "url": "https://www.ycombinator.com/companies/leaping-ai/jobs/ijEEN3V-ai-deployment-strategist-looking-for-ex-consultants", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $130K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Leaping AI: The Voice AI Agent Platform That’s Jumping the Call Center Industry Forward", "url": "https://www.usatoday.com/story/special/contributor-content/2025/10/06/leaping-ai-the-voice-ai-agent-platform-thats-jumping-the-call-center-industry-forward/86547224007/", "date": "Oct 30, 2025" }, { "title": "BCG Consultant Left to Found AI Startup: Here's What He Learned - Business Insider", "url": "https://www.businessinsider.com/bcg-consultant-burnt-out-left-founded-ai-startup-2025-8", "date": "Aug 28, 2025" }, { "title": "Leaping AI Raised $4.7 Million in Silicon Valley, Struggled in Germany - Business Insider", "url": "https://www.businessinsider.com/leaping-ai-raised-millions-silicon-valley-struggled-in-germany-2025-8", "date": "Aug 20, 2025" } ], "launches": [ { "id": 86840, "title": "Leaping AI – Automate your complex call center with voice AI!", "tagline": "Self-improving AI voice agents to replace your whole call center. At scale.", "body": "**TLDR**; Leaping AI creates voice agents for businesses with high call volumes (>100k calls a year). Our voice AI agents are human-like, handle complex workflows, and automate up to 70% of customer support calls while maintaining 90% customer satisfaction. They get better over time.\n\n\n\n# **The Problem**\n\nRunning a call center with humans is expensive.\n\nCurrent voice AI solutions are either outdated or developer focused. With our solution, we target medium to larger sized businesses that want to have a cutting-edge solution, yet don’t have significant developer resources and want an easy to use platform.\n\n# **The Solution**\n\nOur platform allows the deployment of powerful human-like voice AI agents for any customer support and sales support use case. There is a simple user interface to set up multi-stage agents with simple English prompt instructions for behavior and transitions. Agents can speak in multiple languages (English, German, Spanish, Arabic, etc.) and be plugged into your infrastructure with API connectors. All the calls are recorded and can be listened to and analyzed in our platform.\n\n![uploaded image](/media/?type=post&id=86840&key=user_uploads/1218980/f6b54cbc-0421-4256-9040-0a8b4cfdada1)\n\n# **Our voice AI agents self-improve**\n\nPreviously, we spent hundreds of hours together with our clients on manually listening to / evaluating calls and testing new prompts. Now, the agent autonomously performs post-call analysis, changes itself and runs A/B tests to improve prompting! We are seeing real day-on-day improvement on the rate of call transfers to humans while being fully hands off!\n\n# **Case studies**\n\nWe have been live with our product for a couple of months and currently power thousands of calls daily. \n\nSome success stories:\n\n1. We are working with Hawesko, Germany’s largest wine merchant. They historically had >100 human agents and we are now taking 100% of incoming customer support calls for one of their brands (>1.000 calls per day). In select use cases such as wine purchasing, our voice AI agents have been able to autonomously conduct 70% of conversations without any human call transfer.\n2. For another retailer, we ran an outbound campaign on around 1.000 leads that did not complete the onboarding process. Within a week, we were able to convert 30% of leads contacted. When this retailer did similar campaigns in the past with human agents, they achieved the same result, but it took them 5 weeks.\n3. We are working with a Jamaican BPO call center that does Affordable Care Act (ACA) inbound / outbound pre-qualification calls. We are now doing >5.000 calls a day for them with our voice AI agents, taking over pre-qualification and handing over only pre-qualified customers to human agents – saving 1 minute per call on every call.\n\n# **The team**\n\n![uploaded image](/media/?type=post&id=86840&key=user_uploads/1218980/bf93647d-42fa-45da-be1c-ce19c42595d9)\n\nWe are [Kevin](https://www.linkedin.com/in/kevin-wu-452a6393/), [Arkadiy](https://www.linkedin.com/in/a-telegin/), and [Shraey](https://www.linkedin.com/in/shraeybhatia/) – we previously worked at Microsoft, BCG, and IBM Research and are now passionate about disrupting the contact center industry.\n\n# **Our ask**\n\nIf your company has >10 call center agents or works with a BPO doing phone-based customer support and / or sales, we would love to see if our voice AI agents can help you.\n\nLikewise, if you are connected to someone that might be interested in our solution, we would love to get connected.\n\nEmail: [founders@leapingai.com](mailto:founders@leapingai.com)", "url": "https://www.ycombinator.com/launches/Mae-leaping-ai-automate-your-complex-call-center-with-voice-ai", "votes": 95, "created_at": "2025-01-14T22:15:48.657Z" } ] }, { "id": 30182, "name": "Flowtel", "slug": "flowtel", "former_names": [ "Casixty" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d93f84e0ef9828936fdb9df69154bdf100b51419.png", "website": "https://flowtel.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Flowtel is building the next generation operating system for hospitality, powered by modern AI agents that can handle everything from booking to room service. ", "one_liner": "The AI Voice agents for hotels", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1738111851, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 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/flowtel", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/flowtel.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/flowtel-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d93f84e0ef9828936fdb9df69154bdf100b51419.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": 824876, "full_name": "Eylon Miz", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO @ Flowtel - AI Voice agents for hotels", "is_active": true, "linkedin_url": "https://linkedin.com/in/eylonmiz", "x_url": "https://twitter.com/eylonmiz", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/75b4d27a167b0504e9df16569bbfa7199c9a7033.jpg" } ], "jobs": [ { "id": 88994, "title": "Founding Engineer - Staff/Senior", "url": "https://www.ycombinator.com/companies/flowtel/jobs/LaddaEz-founding-engineer-staff-senior", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$180K - $250K", "equity_range": "0.70% - 3.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 87581, "title": "Casixty - Your Reddit Marketing Agent for Technical Audiences", "tagline": "Turn Reddit discussions into marketing wins", "body": "![uploaded image](/media/?type=post&id=87581&key=user_uploads/824876/a9f19804-29f1-4589-8bd7-2d5cb592c8b1)\n\n**TL;DR** — Technical companies struggle to authentically connect with their audiences on Reddit, missing valuable opportunities for engagement. We built an AI-powered platform that helps you identify and engage in relevant technical discussions, generate authentic responses, and measure impact - all while maintaining your brand voice.\n\nHey! We're Eylon and Yoav, both engineers who discovered firsthand how challenging it is for technical companies to effectively market on Reddit. After successfully growing multiple open-source projects to thousands of stars (including [reactagent.io](http://reactagent.io) and [pezzo.ai](http://pezzo.ai)), we built Casixty to help other technical companies unlock Reddit's potential.\n\n**The Problem** \\\nTechnical companies face four major challenges with Reddit marketing:\n\n1. **Finding the Right Discussions** is like searching for needles in a haystack - manually scanning for relevant conversations is incredibly time-intensive\n2. **Creating Authentic Responses** requires deep technical knowledge and platform understanding - especially challenging for marketing teams\n3. **Measuring Impact** is nearly impossible without proper analytics tied to specific engagements\n4. **Maintaining Consistency** demands significant resources, leading to sporadic engagement that hurts brand presence\n\n**Our Solution** \\\n\\\nCasixty is a digital marketing platform that:\n\n* Indexes your company's knowledge (blogs, docs, etc.) to identify perfect engagement opportunities\n* Generates draft responses that match your brand voice and technical expertise\n* Delivers notifications via Slack for quick action\n* Takes just 3 minutes to onboard and minutes per day to maintain\n* Creates evergreen content (Reddit discussions index well in Google!)\n\n**Customer Success Story** \\\nWe recently worked with a cybersecurity company targeting infosec and MSP audiences. In just 10 weeks, we helped them:\n\n* Generate over 5,000 karma in technical discussions\n* Create thought leadership content that resonated with their audience posted by C levels (CEO, CTO, CMO, CPO, CISO) and SMM team (10 accounts total)\n* Build brand awareness that amplified their Reddit ad campaigns\n\n**Why Us?**\n\n* We're engineers building for engineers - we understand the importance of quality and authenticity\n* We're expanding beyond Reddit soon - Twitter, LinkedIn, Bluesky and more platforms coming in the next few months\n* Our platform delivers measurable results while respecting Reddit's community standards\n\n**YC Special Offer** For YC companies signing up before W25 ends:\n\n* Know someone who needs this? Share code YCFRIENDSREF for 20% off 6 months\n* Unlimited Reddit research, strategy & consultation with founders via Slack Connect for 3 months (Pro plan)\n\nStart free on or talk to us at [success@casixty.com](mailto:founders@casixty.com)\n\nEylon & Yoav", "url": "https://www.ycombinator.com/launches/Mmb-casixty-your-reddit-marketing-agent-for-technical-audiences", "votes": 79, "created_at": "2025-02-11T17:25:14.438Z" } ] }, { "id": 30183, "name": "Tweeks.io", "slug": "tweeksio", "former_names": [ "NextByte" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/15b909d4c8661518fff6299030fee363e1654179.png", "website": "https://tweeks.io", "all_locations": "San Francisco, CA, USA", "long_description": "Make websites work exactly how you want", "one_liner": "Lovable for Chrome Plugins", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Recruiting and Talent", "launched_at": 1738808449, "tags": [ "Consumer", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "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/tweeksio", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/tweeksio.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/nextbyte-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/15b909d4c8661518fff6299030fee363e1654179.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": 2387967, "full_name": "Jason Madeano", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of Nextbyte\n\nPrior to Nextbyte, Jason was a Machine Learning Engineer at Pinterest leading ML recommendations for modules on the Homefeed Relevance team. He holds a Master’s and Bachelor’s degree from MIT in Computer Science and Brain & Cognitive Science. His research on Cultural Transmission and Reinforcement Learning received a best paper award at NeurIPS.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jason-madeano/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bfbc3bd2b6b4092a098c2fa01bbfce5e74b6407a.jpg" }, { "user_id": 2304301, "full_name": "Matt Stallone", "title": "Founder/CTO", "founder_bio": "Co-founder of NextByte. \n\nBefore tackling agents, Matt was leading the post-training of Foundation Language Models at IBM Research, working on major releases including the Granite model series. During his career, he published multiple first author papers on his LLM research. He is classically trained in ML and Distributed Systems and holds Master's and Bachelor's degrees from MIT in Computer Science and Electrical Engineering.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mattstallone/", "x_url": "https://x.com/mattstallone/", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ed40cb4eaae3042faf52f629759fe4b4a940929c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 88114, "title": "NextByte - AI recruiter tuned to identify the best vibe coders", "tagline": "Screen candidates for ability and output, not rote memorization", "body": "**TL;DR:** AI is changing how engineers work - it's time hiring caught up. Built by MIT engineers, NextByte tests for real-world skills, conceptual knowledge, and AI tool usage, not memorized algorithms.\n\n## The Problem\n\nToday's best engineers aren’t grinding Leetcode - they're vibe coding. AI copilots and codegen tools are making developers more productive than ever, yet tech hiring is stuck in the past.\n\nCurrent coding screens reward those who memorize algorithms, not those who can actually build and problem solve. Worse, LLMs can ace many Leetcode problems better than humans, so what are these screens really testing?\n\n## Our Solution\n\n[NextByte](https://youtu.be/bVO5k4ssmGg)\n\nNextByte is an AI-first interview platform that helps companies screen for the skills that actually matter. Our approach ensures that hiring decisions are based on practical ability rather than memorization.\n\n#### Problem Creation\n\nInstead of testing candidates on obscure theoretical concepts, we focus on challenges that reflect real engineering work. Our Magic Import tool helps companies design assessments tailored to their job descriptions, ensuring that candidates are evaluated on the skills they will actually use. We eliminate unnecessary algorithmic puzzles and instead measure problem-solving ability in a way that aligns with on-the-job performance.\n\n#### Candidate Interview\n\nTechnical interviews should reflect how engineers actually work. Our process is interactive, guided, and built to evaluate both technical skill and thought process.\n\n* **Conversational deep dives:** Our AI-driven voice discussions start with fundamental topics and push deeper based on candidate responses. This allows us to evaluate reasoning, adaptability, and true understanding – not just memorized answers.\n* **Vibe Coding:** Our unique system design questions ask candidates to translate an image into text prompts and leverage cursor-like tools to generate code for their solution.\n* **AI pair programmer:** Candidates receive real-time assistance, just like they would from a great colleague (or copilot). The AI helps navigate syntax, debugging, and edge cases, keeping the focus on problem-solving rather than getting stuck on minor details.\n\nBy mirroring a real-world coding environment, we prevent candidates from simply rehearsing answers and instead uncover how they think and work through challenges.\n\n#### Results & Evaluation\n\nA correct answer isn’t enough – we analyze the entire coding process to provide a deeper, more meaningful assessment of candidate ability including\n\n* **Code quality:** Evaluate readability, documentation, and maintainability to ensure candidates write clean, production-ready code.\n* **Efficiency:** Compare runtime and memory usage against other candidates, identifying optimization skills that go beyond just getting the correct output.\n* **Conceptual understanding:** Assess depth of knowledge and ability to articulate complex ideas.\n\n## The Team\n\nWe’re MIT grads, engineers, and longtime friends who have experienced the flaws of technical hiring firsthand.\n\nMatt led post-training efforts for Enterprise LLMs at IBM Research delivering open weight models, including the Granite family which achieved state-of-the-art benchmarks that rivaled Meta's LLaMA 3. Jason worked on Home Relevance at Pinterest, leading the development of new recommendation systems that scaled non-pin content from zero to 100M daily impressions in months.\n\n## Our Story\n\nDespite working on different problems at different companies, we kept running into the same hiring issues.\n\nAs candidates, we saw how arbitrary and inconsistent technical interviews could be. As interviewers, we saw colleagues struggle to find time to properly evaluate applicants while juggling their own workloads. Some interviews were so broken that proctors would literally fall asleep on Zoom calls.\n\nWe built NextByte to fix this. Our goal is to make hiring decisions fairer, more efficient, and focused on what actually matters. We're helping companies identify the best engineers while giving candidates a better experience.\n\n## Our Ask\n\n* Book a [demo](https://calendar.app.google/wqoDP5ZQrjQZYEmK6) and start sending NextByte assessments today\n* Share warm intros to anyone frustrated with technical hiring\n* Follow us on [LinkedIn](https://www.linkedin.com/company/nextbyte-ai) for updates\n\n![uploaded image](/media/?type=post&id=88114&key=user_uploads/2387967/8b776cca-9aab-4ef1-93f1-8f351162ca39)\n\n", "url": "https://www.ycombinator.com/launches/MvC-nextbyte-ai-recruiter-tuned-to-identify-the-best-vibe-coders", "votes": 73, "created_at": "2025-02-27T18:50:24.245Z" } ] }, { "id": 30185, "name": "Excellence Learning", "slug": "excellence-learning", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1e153fb91aba9399d441f6364476829f360fb0a5.png", "website": "https://excellence-ai.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Excellence an after-school maths and science program. We replace/supplement private tutoring and long-term study programs such as Kumon (over 30B TAM). US Parents are our primary customers. \r\n\r\nOur web and iPad software serves both ambitious and struggling students. As we believe each student is unique, we adapt our high quality courses and exercises to their knowledge and learning style in a very granular way. To facilitate learning, they get detailed text, voice and graphical explanations, can craft study plans, revise and memorize, and received human mentorship if needed. We believe LLMs have made edtech interesting, as technology now allows us to replicate a tutoring learning experience.\r\n\r\nIn addition, we offer a program with daily courses and exercises, detailed feedback on their worksheets and more (super Kumon).\r\n\r\nFinally we sell the AI tutoring and exercise databases to schools in a B2B and B2B2C model and already work for the most prestigious institutions in France (Ecole polytechnique, college Stanislas...).\r\n\r\nWe're a passionate team of ex-quants, mathematicians and physics champions devoted to improving science education.", "one_liner": "AI tutor starting with maths and science", "team_size": 4, "industry": "Education", "subindustry": "Education", "launched_at": 1739805193, "tags": [ "AI-Enhanced Learning", "Education", "SaaS", "Edtech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Education" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "We believe we can really change education profoundly.Parents enrol their children in our program starting from middle school to college. Education is engaging, and students actively return to our platform with daily usage. We empower families to get learning experiences superior to human tutoring at a fraction of the cost. The learning methods that the top 1% of students now use are available to all. The learning efficiency of our sessions are demonstrably superior to that of other platforms. Students using our product over time outperform their peers by one to two age grades at a minimum. We inspire entire generations of new scientists, technical business leaders, and a more scientifically educated public. We cultivate millions of minds and unlock economic opportunity for whole segments of society." } ], "url": "https://www.ycombinator.com/companies/excellence-learning", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/excellence-learning.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/excellence-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1e153fb91aba9399d441f6364476829f360fb0a5.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": 2347519, "full_name": "Mattia Mauro", "title": "Founder/CEO", "founder_bio": "Ex-quant, physics champion and VC, I want to share my passion for science. I grew up between Italy, Switzerland, South Korea and France. I started coding and tinkering with physics very early and won the International Physicists' Tournament in 2022. I've also briefly headed the nascent early-stage investing at Squarepoint Capital, a leading quantitative hedge fund.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mattia-mauro-437a35197/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/69eab9b70d58b5b5f4e70932fcda8f25cfec8240.jpg" }, { "user_id": 2383727, "full_name": "Sovann Linden", "title": "Founder/CPO", "founder_bio": "Sovann has deep expertise in maths education, having tutored over 10+ years and emerged from an unconventional school path, leading him to Oxford at 15. He holds a Mathematics Masters from Oxford and a Masters of Engineering from Stanford, where he conducted medical research. Sovann also spent 3 years working in finance, for a hedge fund and then for Softbank.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sovann-linden/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6dec6fd1c061ee11e04b81e015cf9a09baa68020.jpg" }, { "user_id": 2386466, "full_name": "Alexis Bonnafont", "title": "Founder/CTO", "founder_bio": "After earning a degree in Physics and Computer Science from École Polytechnique, I moved to the Bay Area to pursue a Research Master’s in Energy Science Engineering at Stanford University. I am now excited to join Y Combinator’s Winter 2025 batch and embark on this exciting entrepreneurial journey!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexis-bonnafont", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/db128bd90267f15a2aa49c2838977fab6a17135a.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30187, "name": "Praxim", "slug": "praxim", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/be59095cc480f86c19c6f83b000c574f9e8e3cd0.png", "website": "https://www.praxim.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Praxim is the agentic AI word editor that makes edits across your entire word document with formatting control, file and web context, and your personal preferences in mind. Simply tell Praxim what you'd like to do with your document and Praxim will implement your changes automatically. ", "one_liner": "The agentic AI Word editor", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1740746196, "tags": [ "SaaS", "Consumer", "B2B", "AI", "Databases" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 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/praxim", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/praxim.json", "year_founded": 2025, "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/be59095cc480f86c19c6f83b000c574f9e8e3cd0.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": 2305260, "full_name": "Richie Hsiung", "title": "Founder/CEO", "founder_bio": "Richie is the Co-Founder of Praxim. He studied Math/CS/Philosophy at Yale.\n\nHe was a USA Math Olympian and won the American Invitational Math Examination with a perfect score. The AIME is now one of the most commonly used math benchmarks for AI models.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/richiehsiung/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7341d65d0715ab1a74119686556933478b7b9a77.jpg" }, { "user_id": 1276682, "full_name": "Frank Li", "title": "Founder/CTO", "founder_bio": "Frank is the Co-Founder of Praxim. He studied pure mathematics and computer science at Yale.\n\nHe was a USA Math Olympian and an ML/AI researcher at the Yale NLP Lab and the Fields Institute in Toronto.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/frank-li-6866411b0/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2cba819b2c0e0553ef646f2aff372e31bae1b65f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94226, "title": "Praxim - The Agentic AI Word Editor", "tagline": "Transform Microsoft Word into an AI-native Word Editor", "body": "https://youtu.be/ffplqbuzfT4\n\nHey Everyone! We’re Praxim.\n\n**The Problem:**\n\nMicrosoft Word serves over a billion users, but Copilot is still stuck in the Stone Age, requiring manual selection just to generate crude, format-ignoring block replacement edits completely devoid of context from your preferences, files, or the web.\n\n**The Solution:**\n\nWith a single prompt, Praxim makes edits across your entire document:\n\n* No required manual selection to edit\n* No more copy-pasting and context switching between different apps\n* No formatting worries\n* Takes into account your preferences\n\nPraxim knows exactly what to change and what to keep and edits with word-level granularity—precisely editing only what needs editing, not making brute block replacements.\n\nMost importantly, Praxim creates real Word formatting:\n\n* Actual lists, tables, and styles—not fake imitation structures that are actually just paragraphs\n* Maintain formatting, or even change it\n\nPull data, research, and edit all without leaving Word, with features that 10x your productivity:\n\n* File and Web context\n* Voice dictation at the speed of thought\n* Intuitive edit previews and clickable references that jump to the location in the document\n\nPraxim is already used for use cases from form filling with data from multiple sources to contract redlining with precise legal edits.\n\n**Why only now?** Programmers left the era crude AI assistance years ago with agentic code editors. Formatted document editing is a far harder technical problem—a single word is encoded by formatting and structural markup several orders of magnitude more complex than plaintext code, with countless ways to render correct text incorrectly. Semantic meaning and formatting both matter.\n\nPraxim for Word solves this, delivering a quantum leap over any other Word editing tool today. Start using Praxim today at [praxim.ai](http://praxim.ai)!", "url": "https://www.ycombinator.com/launches/OVm-praxim-the-agentic-ai-word-editor", "votes": 11, "created_at": "2025-09-30T14:00:52.553Z" } ] }, { "id": 30188, "name": "Hey Telo", "slug": "hey-telo", "former_names": [ "Admyral", "HeyTelo" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c17ed7f9d61245a3208aaa608b0fd62f1523873.png", "website": "https://www.heytelo.com", "all_locations": "BY, Germany", "long_description": "Voice AI for Home Services", "one_liner": "Voice AI for Home Services", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1739171711, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "Germany", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/hey-telo", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/hey-telo.json", "year_founded": 2024, "city": null, "country": "DE", "linkedin_url": "https://www.linkedin.com/company/heytelo/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c17ed7f9d61245a3208aaa608b0fd62f1523873.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": 1101892, "full_name": "Christopher Grittner", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO at HeyTelo. \n\nPrev led Philippines expansion at Finantier (YC W21), built Tacto's product from scratch as employee #4 (backed by Sequoia and Index), and led product initiatives at Celonis (valued at $13bn). Former Investment Team member at Earlybird Venture Capital. Researched LLMs in Data Analytics at University of Cambridge. BS in Computer Science & Business from Technical University of Munich and studied at National University of Singapore.", "is_active": true, "linkedin_url": "https://linkedin.com/in/christopher-grittner", "x_url": "https://x.com/chrisgrittner", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/684046ddf5607ae3677bbb509c6fa62c1de971a5.jpg" }, { "user_id": 1069014, "full_name": "Daniel Grittner", "title": "Founder/CTO", "founder_bio": "Co-Founder and CTO at Hey Telo. Previously SDE at Amazon, published first-author computer vision research at ECCV 2022 while at TUM, and built database infrastructure at Celonis. Completed research project in Bioinformatics at ETH Zurich. BS in Computer Science from Technical University of Munich. Dropped out of MS in Computer Science at Technical University of Munich to build Hey Telo.", "is_active": true, "linkedin_url": "https://linkedin.com/in/daniel-m-grittner", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1db860a31cebce5d6027abe32b85fd46619b203a.jpg" } ], "jobs": [ { "id": 84580, "title": "AI Engineer Internship (4-6 months)", "url": "https://www.ycombinator.com/companies/hey-telo/jobs/OSrWaPG-ai-engineer-internship-4-6-months", "location": "Munich, BY, DE / Munich, Bavaria, DE", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "€2.5K - €4K EUR / monthly", "equity_range": "", "experience": null, "visa": "US citizenship/visa not required", "skills": [ "Python", "React", "Machine Learning", "Reinforcement learning (RL)", "Prompt Engineering" ] }, { "id": 94199, "title": "Founding AI Engineer", "url": "https://www.ycombinator.com/companies/hey-telo/jobs/xcPARQI-founding-ai-engineer", "location": "Munich, BY, DE / Munich, Bavaria, DE", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "€70K - €110K EUR", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [ "Python", "Distributed Systems", "Machine Learning", "Deep Learning", "Next.js", "Prompt Engineering" ] }, { "id": 95534, "title": "Founding Founders Associate (Sales)", "url": "https://www.ycombinator.com/companies/hey-telo/jobs/FZsuyfE-founding-founders-associate-sales", "location": "Munich, BY, DE / Munich, Bavaria, DE", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "€60K - €90K EUR", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 95535, "title": "Founders Associate Intern (Sales)", "url": "https://www.ycombinator.com/companies/hey-telo/jobs/xMop9Qn-founders-associate-intern-sales", "location": "Munich, BY, DE / Munich, Bavaria, DE", "type": "Internship", "role": "Sales", "role_type": null, "salary_range": "€2K - €3.5K EUR / monthly", "equity_range": "", "experience": null, "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 87553, "title": "Hey Telo — Voice AI for the Home Service industry", "tagline": "Hey Telo is a voice AI that handles inbound calls and admin work for craftsmen.", "body": "Hi! We are [Daniel](https://www.linkedin.com/in/daniel-m-grittner/) and [Chris](https://www.linkedin.com/in/christopher-grittner/), brothers and the founders of Hey Telo.\n\n**TL;DR** — We're building voice-first AI agents that handle phone calls and administrative work for Germany's 1 million craftsman businesses. Our technology turns hours of daily interruptions into seamless and reliable voice AI interactions, helping craftsmen focus on skilled work instead of shuffling paperwork and answering phones.\n\nIf you work or have connections in the Home Service industry, [connect with us today](https://www.linkedin.com/in/christopher-grittner/).\n\n## **The Problem**\n\nEvery time you flip a switch or turn on the heat, a craftsman made it possible. Germany's 1 million craftsman businesses—and the millions more across Europe—don't just maintain our quality of life, they're building our sustainable future through renewable energy and green infrastructure. \n\nBut instead of focusing on this critical work, they're trapped answering phones and shuffling paperwork. Craftsmen are constantly interrupted by calls for quotes, scheduling, and basic questions while they're trying to do skilled work. A single workday can be fractured by dozens of phone interruptions, forcing them to context-switch between complex technical tasks and administrative busywork. \n\nMany end up hiring office staff just to handle calls, cutting into already thin margins. Others miss opportunities because they can't answer the phone while working.\n\n## **The Solution**\n\nHey Telo simplifies how craftsmen handle communication and admin work using advanced voice AI.\n\nInstead of being interrupted by every call and spending hours on paperwork, craftsmen can:\n\n* Let AI handle incoming calls naturally and professionally\n* Automatically schedule appointments and provide quotes\n* Get seamless handoffs for complex inquiries\n\nThat's it. What used to fracture their entire workday now happens seamlessly in the background, letting craftsmen focus on their work while maintaining high quality customer service.Our voice AI feels natural, fast, and human - customers often don't realize they're talking to AI until told.\n\n## **Our Ask**\n\nIf you (or anyone you know) work in the craftsman/home service industry, we'd love to chat with you! Reach out at [chris@heytelo.com](mailto:chris@heytelo.com).\n\n## **About Us**\n\n[Daniel](https://www.linkedin.com/in/daniel-m-grittner/) and [Chris](https://www.linkedin.com/in/christopher-grittner/) are brothers who've been building together since childhood. Daniel (CTO) previously worked at Amazon and published first-author research at ECCV 2022. Chris (CEO) built products at Tacto as employee #4 (backed by Sequoia and Index), Celonis (valued at $13bn), and Finantier (YC W21). Both studied Computer Science at the Technical University of Munich.\n\n![uploaded image](/media/?type=post&id=87553&key=user_uploads/1101892/57526b74-05e6-48cc-8a84-d91a02bcbf5b)\n\n", "url": "https://www.ycombinator.com/launches/Mm9-hey-telo-voice-ai-for-the-home-service-industry", "votes": 45, "created_at": "2025-02-10T21:58:17.128Z" } ] }, { "id": 30189, "name": "SubImage", "slug": "subimage", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/85fc2e3ee1b407fdf958403fc2fbd25fff6a7cac.png", "website": "https://subimage.io", "all_locations": "San Francisco, CA, USA", "long_description": "SubImage builds maps of your infrastructure to give you visibility on what assets you have and how they relate to each other. This enables any security team to deeply understand their environments and reduce risk.\r\n\r\nSubImage is a managed offering built around the Cartography open-source project, and is founded by members of Cartography's original team.", "one_liner": "The Open-Core Security Graph", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1736799545, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 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/subimage", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/subimage.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/subimagesec", "x_url": "https://x.com/subimagesec", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/85fc2e3ee1b407fdf958403fc2fbd25fff6a7cac.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/de5f64252df97d0b747fd203f54b59f6ce9296a2.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 1645462, "full_name": "Alex Chantavy", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO at SubImage. Former Staff Engineer at Lyft: Created https://cartography.dev, the open source security graph. Built first-of-its-kind container scanning and remediation platform. Former Security Engineer on Microsoft Red Team: did cloud hacking before it was cool. Worked on [REDACTED] at the NSA.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexchantavy/", "x_url": "https://twitter.com/alexchantavy", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3f58380a1968d90842eb10d30199dc4bb3d225e2.jpg" }, { "user_id": 2387134, "full_name": "Kunaal Sikka", "title": "Founder/President", "founder_bio": "Co-founder at SubImage. Previously Member of Technical Staff at Anthropic and Staff Engineer at Lyft. At Lyft, reported directly to CISO, new grad to Staff Engineer in 4 years. Architected SIEM, insider abuse, and vulnerability management platforms. Graduated from University of Washington CS in 2 years.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kunaals/", "x_url": "https://x.com/kunaalsikka", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/18be59b9dcd7652581e0ede30067d114ecaac56f.jpg" } ], "jobs": [ { "id": 107957, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/subimage/jobs/NCTFgKK-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$170K - $230K", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Python", "Distributed Systems" ] } ], "news": [ { "title": "We've raised $4.2M", "url": "https://www.subimage.io/blog/funding/", "date": "Oct 21, 2025" }, { "title": "Launch HN: SubImage (YC W25) – See your infra from an attacker's perspective | Hacker News", "url": "https://news.ycombinator.com/item?id=43161332", "date": "Feb 24, 2025" } ], "launches": [ { "id": 87887, "title": "SubImage: Software that maps your infrastructure", "tagline": "The open-core alternative to Wiz", "body": "[SubImage](https://subimage.io) maps your infrastructure so that your security team can fix the most pressing risks first. It’s built on top of [Cartography](https://github.com/cartography-cncf/cartography), the open source security graph that we created and that 70+ companies use.\n\n![uploaded image](/media/?type=post&id=87887&key=user_uploads/1645462/73946b9a-a00f-4c1e-8401-1917b2600878)\n\n## **Problem**\n\nIn security, attackers often have to be right just once, but defenders have to be right all the time. \n\nThe scary thing is, given enough time, resources, and motivation, it is a near certainty that an attacker will break into your environment. You need to be ready with detections and controls to catch and evict them.\n\nHowever, most companies, even huge ones, are nowhere near ready for that. They are either inundated with data and stuck deciding what to fix next, or worse, have **poor to no visibility** on high impact risks.\n\nFurther, modern businesses often rely on dozens of cloud and SaaS platforms, so it’s very easy to lose track and make mistakes in configuring access permissions, networking, and other areas to inadvertently introduce an attack path.\n\n## **Solution**\n\nWe originally created Cartography in 2019 to help red teamers (professional corporate hackers) find the shortest paths to their targets. [At the time](https://news.ycombinator.com/item?id=19517977), there was nothing quite like it: other tools weren’t graph-based, didn’t cover the cloud, or weren’t open source.\n\nThe tool grew in popularity when defenders realized that **using an attacker’s mindset** to map out their infra was an immense boon to their work because it cut through the noise, exposing proven attack paths.\n\n![uploaded image](/media/?type=post&id=87887&key=user_uploads/1645462/030c8839-2635-45c8-beda-d6c9b11d1e32)\n\nCartography pulls metadata from multiple sources - SaaS, cloud service providers, a company’s internal services - and writes it to a graph database. This simple technique is incredibly powerful in finding otherwise unseen misconfigurations and attack paths in areas like access permissions, networking, and software vulnerabilities.\n\nSubImage is our fully-hosted solution that picks up where Cartography leaves off: it lets security teams immediately see and take action on the attack paths to their organization’s most sensitive data and secrets without needing to set up or maintain the database and sync jobs behind it.\n\nThe specific fix-action varies: smaller companies may prefer executing AWS CLI commands from an admin session, whereas larger corporations often require automated pull requests within their infrastructure-as-code repositories.\n\n![uploaded image](/media/?type=post&id=87887&key=user_uploads/1645462/d4628233-026a-4118-b6b5-1b41ace550e5)\n\n\n## **Demo: My Stripe API key was stolen**\n\n\n\n## **Demo: Hack my company**\n\nOne of the most effective ways to secure yourself from hackers is to put yourself in their shoes and think about how they would exploit your environment. So, let’s plan an attack on one of SubImage’s storage buckets; it’s kind of like planning to break into a bank vault.\n\n \n\nThe above demo shows that we also provide customers access to the underlying graph database so that they can see the internals of our schema and more deeply understand their infra.\n\n## **Roadmap**\n\nOur north star is for security engineers to stop needing to constantly monitor whether infrastructure, new or old, has introduced a risk – we will do it for them.\n\nSpecifically, we plan to\n\n* Integrate with access management systems to **prune excessive permissions** and enforce that certain invariants are maintained\n* Continuously **alert on and remediate** risky infrastructure changes\n* **Show misconfigurations** in any cloud or SaaS based infrastructure, including vulnerability management\n\n## **Asks**\n\n1. If you’re a company that is building out your security team, we’d love to learn about your problems and work together. Let’s [meet](https://cal.com/team/subimage)!\n2. If you are struggling with security visibility or if any of this sounds interesting to you, check out [Cartography](https://github.com/cartography-cncf/cartography/). We would love to get your feedback and have you as part of our community: join the CNCF Slack workspace [here](https://communityinviter.com/apps/cloud-native/cncf) and then join the #cartography channel.\n\n## **Team**\n\n![uploaded image](/media/?type=post&id=87887&key=user_uploads/89898/0f181717-ad90-4cd8-a86c-67debce4c790)\n\nHi! We’re [Alex](https://www.linkedin.com/in/alexchantavy/) and [Kunaal](https://www.linkedin.com/in/kunaals/), and we’ve been working together since 2020 when we met at Lyft. Alex was the lead engineer on Lyft’s vulnerability management program, led penetration tests for Microsoft’s Red Team, and worked on \\[REDACTED\\] at the NSA. Kunaal was a Staff Engineer at Lyft and Member of Technical Staff at Anthropic, and has spent his career solving large security problems like insider abuse, vulnerability management, and architecting SIEMs.", "url": "https://www.ycombinator.com/launches/MrX-subimage-software-that-maps-your-infrastructure", "votes": 32, "created_at": "2025-02-21T04:53:34.911Z" } ] }, { "id": 30190, "name": "Steinmetz", "slug": "steinmetz", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6a01f59af390bfd92ad55d1f62a2729543663f92.png", "website": "https://steinmetzmotors.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Steinmetz is building the next generation of American power electronics. The next generation of great machines — electric vehicles, robotics, aerospace, and industrial systems — depends on power electronics that are lighter, cheaper, more efficient, and built at real scale.\r\n\r\nWe push the Pareto frontier of power electronics through multi-disciplinary design. We're the OEM that customers actually appreciate.", "one_liner": "Next-Generation Power Electronics", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1740381508, "tags": [ "Hardware", "Electric Vehicles", "Electronics" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Industrials" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "We both grew up in the suburbs of Toronto and graduated from Mechatronics Engineering at the University of Waterloo. Despite similar journeys we didn’t finally meet until we interned together at Neuralink during our Junior year. We bonded over our passion for engineering and stayed in touch into our Senior year where we built the first Steinmetz inverter. We have both worked in the automotive industry working with low and high voltage systems at Tesla and have experience across the hardware stack. Between us we have worked on billion transistor GPUs, space systems, neural interface ICs, billion record databases, rail systems, and firmware for mass produced consumer electronics. Steinmetz marks a new chapter for us where we are leveraging our broad experience across the hardware stack to enable the next generation of electric vehicles." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "Our mission is to accelerate the adoption of electric vehicles of all forms (planes, trains, cars, boats). To achieve this we aim to improve the performance of electric vehicles while **reducing cost** and **volume**. We will enable vehicles that beat their combustion engine equivalents on all metrics. Electric power-trains are capable of achieving nearly **perfect efficiency** converting stored energy to motion which is not possible in combustion engine vehicles. Through the refinement and adoption of electric vehicles we can greatly reduce the cost to transport people and goods. This will have Trillion dollar implications for the global economy." } ], "url": "https://www.ycombinator.com/companies/steinmetz", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/steinmetz.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/steinmetzinc/", "x_url": "https://x.com/SteinmetzInc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6a01f59af390bfd92ad55d1f62a2729543663f92.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/12765d8739b7923172d4db7b646dd0908398afee.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4ce6bbf524e0c8177ba1116f5eeb5e7779913f7f.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 596175, "full_name": "Owen Brake", "title": "Founder/CEO", "founder_bio": "Multi-disciplinary engineer with a track record of building across industries—from high-performance brake systems to GHz FCC compliance and scaling production SQL databases with 10B+ records.\n\nPreviously developed motor controllers at Tesla. Held diverse engineering roles at Neuralink, Apple, Parallel Systems, and Ford.\n\nMechatronics Engineering graduate, University of Waterloo. Led the Formula Electric team, driving innovation in EV performance.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/owen-brake-39363a169/", "x_url": "https://x.com/OwenBrakes", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/84d79cdf3390645334974e2db3c5cdb2f4db2760.jpg" }, { "user_id": 1381592, "full_name": "Ethan Childerhose", "title": "Founder", "founder_bio": "Co-founder and CTO at Steinmetz. Previously at Rocketlab, Nvidia, Tesla, and Neuralink. I've worked across the hardware stack from analog transistor level design to 100 lb mechanical fixtures for environmental testing. My work has reached the moon, been mass produced millions of times, and processed the faintest of signals from the human brain.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ethan-childerhose", "x_url": "https://x.com/BigCrete", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3f860e7627991e4a1a28061c484d3bfa46868906.jpg" } ], "jobs": [ { "id": 95359, "title": "Electrical Engineer", "url": "https://www.ycombinator.com/companies/steinmetz/jobs/h4Qjisc-electrical-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$100K - $175K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 95360, "title": "Generalist Hardware/Firmware", "url": "https://www.ycombinator.com/companies/steinmetz/jobs/wMTbVhT-generalist-hardware-firmware", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$100K - $175K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 95361, "title": "Firmware Engineer", "url": "https://www.ycombinator.com/companies/steinmetz/jobs/4dbvLf3-firmware-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Embedded systems", "salary_range": "$100K - $175K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "Python", "Rust", "Firmware", "Microcontrollers" ] } ], "news": [], "launches": [ { "id": 88019, "title": "Steinmetz - Hardware for the Next Generation of Vehicles", "tagline": "Steinmetz, the engine of electric vehicles", "body": "Hey YC,\n\nWe are Ethan and Owen, building the engine of electric vehicles. Motor controllers with 3x higher power densities, that remain cost competitive with existing solutions.\n\n\n\n# The Problem\n\nAutomotive manufacturers are quickly transitioning to electric vehicles but initial offerings remain expensive and are largely unprofitable. This has led to slow adoption compared to their combustion engine counterparts.\n\nWe have both witnessed while working at Tesla, the immense difference in design and cost between Tesla's vehicles, and EVs from existing vehicle manufacturers. Incumbent part suppliers and manufacturers are skilled in the intricate mechanical design of combustion engine vehicles, but lack the electrical expertise for EVs which are primarily chips and PCBs.\n\n# Our Solution\n\nAt Steinmetz, we are starting with the inverter (motor controller). This lies between the battery of the vehicle and the motor--it converts the DC power from the battery into 3 phase AC for the motor. Using modern power electronics techniques and tight systems integration, we are able to deliver a motor controller which achieves 3x greater density than the state of the art, at equal or greater efficiency. This allows us to bring down not only the unit cost of inverters in vehicles today but, through greater density and higher efficiencies, the cost and performance of the whole vehicle.\n\n![uploaded image](/media/?type=post&id=88019&key=user_uploads/1381592/997953eb-7e3b-4ba7-9d07-6a1d21f3c43f)\n\nTo give context for the density improvements here, our bandgap product is able to drive a peak power of 200kW through the equivalent volume of 3 yerba mate cans. This is the same power draw as 450x 4090 GPUs or 6.5 server racks fully populated with H100 GPUs (208 GPUs).\n\n![uploaded image](/media/?type=post&id=88019&key=user_uploads/1381592/981f5792-0f6b-42c9-bb4a-dee43a2c8e2b)\n\n# We are on a mission to simplify electric vehicle hardware and accelerate adoption\n\nIf you are working on any electric vehicle (trains, cars, boats, snowmobiles, cranes, submarines, planes, tractors, etc.) learn more at [steinmetzmotors.com](https://steinmetzmotors.com/) or send us an email: [founders@steinmetzmotors.com](mailto:founders@steinmetzmotors.com)\n\n![uploaded image](/media/?type=post&id=88019&key=user_uploads/1381592/28930e11-55a3-4eda-a40d-693b603f0c01)\n\n![uploaded image](/media/?type=post&id=88019&key=user_uploads/1381592/a0ad2acc-de3a-4227-be09-3a8a768f4c96)\n\n", "url": "https://www.ycombinator.com/launches/Mtf-steinmetz-hardware-for-the-next-generation-of-vehicles", "votes": 27, "created_at": "2025-02-25T17:47:52.712Z" } ] }, { "id": 30192, "name": "Axiom", "slug": "axiom", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3ffbe7a826e30d31bb15e11d521be0059beb3f81.png", "website": "https://axiom.trade", "all_locations": "Austin, TX, USA", "long_description": "Axiom is the trading platform for decentralized finance and currently offers memecoins, perpetuals, and yield. Since launch we've hit 10M MRR and 5M monthly net profit.", "one_liner": "Trade memecoins, perpetuals, and earn yield.", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Consumer Finance", "launched_at": 1738295687, "tags": [ "Fintech", "Crypto / Web3", "Consumer Finance", "Trading" ], "tags_highlighted": [ "Crypto / Web3" ], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Fintech", "Consumer Finance" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/axiom", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/axiom.json", "year_founded": 2024, "city": "Austin", "country": "US", "linkedin_url": "https://www.linkedin.com/company/joinaxiom", "x_url": "https://x.com/AxiomExchange", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3ffbe7a826e30d31bb15e11d521be0059beb3f81.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": 1601203, "full_name": "Henry Zhang", "title": "Founder/CEO", "founder_bio": "CEO @ Axiom. Graduated at 20 with 1 exit, excited by all things crypto!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/henryzhang03/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8cacbcaaaf2e54c4c8ecf9c465eb51f714a64c67.jpg" }, { "user_id": 1550170, "full_name": "Preston Ellis", "title": "Founder/CTO", "founder_bio": "Building consumer applications in crypto!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/preellis/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9008051d00c3cdb6f20467bede25a190f103a1cd.jpg" } ], "jobs": [ { "id": 73476, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/axiom/jobs/PYj0leR-founding-engineer", "location": "Austin, TX, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $500K", "equity_range": "0.50% - 1.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Node.js", "PostgreSQL", "Rust", "TypeScript", "Distributed Systems", "Blockchain", "Next.js" ] }, { "id": 104822, "title": "Rust Engineer", "url": "https://www.ycombinator.com/companies/axiom/jobs/NMcjyK7-rust-engineer", "location": "Austin", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$320K - $465K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 104823, "title": "Full Stack Engineer", "url": "https://www.ycombinator.com/companies/axiom/jobs/LhoB2Q3-full-stack-engineer", "location": "Austin", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$320K - $465K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 104824, "title": "Backend Engineer", "url": "https://www.ycombinator.com/companies/axiom/jobs/lm7xFvA-backend-engineer", "location": "Austin", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$320K - $465K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 104825, "title": "Frontend Engineer", "url": "https://www.ycombinator.com/companies/axiom/jobs/GNTewkz-frontend-engineer", "location": "Austin", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$320K - $465K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 104826, "title": "Systems Engineer", "url": "https://www.ycombinator.com/companies/axiom/jobs/fZ9O8AX-systems-engineer", "location": "Austin", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$320K - $465K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 87688, "title": "Axiom - The Gateway to DeFi", "tagline": "Trade any asset on any chain, all under 1 account.", "body": "**TL;DR:** Axiom is building the first platform that lets anyone trade anything in DeFi.\n\n**The Problem:**\n\n* People in crypto focus too much on the tech rather than the user experience.\n* There are too many protocols and chains.\n* For every new chain and asset, you need to sign up and manage a different account/app.\n\n**The Solution:**\n\nAxiom is building the first app that lets you trade any asset on any chain, with all the technicalities abstracted away. No longer do you have to bridge, swap, manage all your assets through 5 different apps.\n\n\n\n**Our Ask**\n\nIf you know any crypto influencers, KOLs, high volume traders, please connect us! Can DM @Mist_Axiom on Telegram.\n\n**The Team**\n\n[Henry](https://www.linkedin.com/in/henryzhang03/) - Previously worked at TikTok building generative AI for ads. Graduated in 2 years while building 2 startups full-time with 1 exit.\n\n[Preston](https://www.linkedin.com/in/preellis/) - Previously interned at Doordash, studying EECS at UC Berkeley. Had 1 exit in undergrad.", "url": "https://www.ycombinator.com/launches/MoK-axiom-the-gateway-to-defi", "votes": 43, "created_at": "2025-02-14T01:49:59.488Z" } ] }, { "id": 30193, "name": "Bud", "slug": "bud", "former_names": [ "Fin", "Guse", "Orchids" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/32278d9de5655494bb5e5ac203fbf68330609789.png", "website": "https://bud.app/", "all_locations": "San Francisco, CA, USA", "long_description": "Bud is an agent with a computer. You can use it from web, text, or telegram. Bud can build & code, fully use a browser, do professional work (research, slides, docs, excel), use skills, and run completely autonomously.\r\n ", "one_liner": "Agent with a computer", "team_size": 6, "industry": "B2B", "subindustry": "B2B", "launched_at": 1737490708, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Acquired", "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/bud", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/bud.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "https://x.com/orchidsapp", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/32278d9de5655494bb5e5ac203fbf68330609789.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": 1311789, "full_name": "Kevin Lu", "title": "Founder/CEO", "founder_bio": "Building Bud. Prev CS/Math @ Penn, Gen AI @ AWS, Research @ Stanford HAI.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kevin-lu-22724b1a5/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/50e5e58b97d509cd9729b398db65c391eeffd91c.jpg" }, { "user_id": 1370943, "full_name": "Bach Tran", "title": "Founder/CTO", "founder_bio": "Building Bud. Prev CS @ Penn, Engineering @ Addepar", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/giabachtran", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4fde4a0be7c6bb3f69b410f08fe58b638a288d37.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30194, "name": "Splash Inc.", "slug": "splash-inc", "former_names": [ "SplashAI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1d27e6c39170346215eab6057844b44c4a3fe089.png", "website": "https://splash9.com/", "all_locations": "Los Angeles, CA, USA", "long_description": "Splash is developing the next generation of autonomous surface vessels (ASVs) to provide National Security and defend critical assets such as oil rigs and shipping terminals. Our long-term vision is to make traditional naval vessels obsolete by creating a fleet of low-cost and versatile boats which will be able to dominate the seas. Our expertise in mass manufacturing, engineering and quickly scaling operations will make this vision a reality. ", "one_liner": "Autonomous patrol-boats for National Security ", "team_size": 9, "industry": "Industrials", "subindustry": "Industrials -> Drones", "launched_at": 1739822625, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Industrials", "Drones" ], "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/splash-inc", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/splash-inc.json", "year_founded": 2024, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/105801839/admin/feed/following/", "x_url": "https://x.com/Splash_Robotics", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1d27e6c39170346215eab6057844b44c4a3fe089.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/3d69fd83ce01e8a3563d698f505c797d3688963c.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 2193228, "full_name": "Ivan Avanesov", "title": "Founder/CEO", "founder_bio": "Co-Founded Splash with the mission of building the Navy of the future after working on marine robotics research projects for the past 8 years. Previously founded Vosentech and grew it to become the largest supplier of mini smoke machines in the world. Designed, manufactured and sold 10,000+ generators to companies such as SpaceX and Apple as well as to many military customers and agencies such as NASA and Los Alamos to check airflow movements in complicated systems. \n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ivan-avanesov-2b511515a/", "x_url": "https://x.com/i_vanesov", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d61746cc8c1c741593554fd1ece087ff7e3048da.jpg" }, { "user_id": 2238795, "full_name": "Marcell Veszpremi", "title": "Founder/CTO", "founder_bio": "Co-Founded Splash Inc. with the mission of building the Navy of the future, leveraging 6+ years in robotics, embedded systems, and IoT. At UCLA’s RoMeLa, I worked on Artemis—the award-winning humanoid champion of RoboCup 2024. Previously at Verkada, I engineered embedded software and battery management for enterprise security alarms. My work at the Ozcan Research Lab, highlighted in multiple publications, has driven breakthroughs in low-cost, point-of-care medical devices.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/veszpremimarcell/", "x_url": "https://x.com/m_veszpremi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5934894edc8f29b4280d130e889253af3c52958f.jpg" } ], "jobs": [ { "id": 74375, "title": "Full Stack Software Engineer", "url": "https://www.ycombinator.com/companies/splash-inc/jobs/GR9HdgA-full-stack-software-engineer", "location": "El Segundo, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$110K - $160K", "equity_range": "0.01% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Kubernetes", "Python", "React", "Internet of Things (IoT)", "gRPC" ] }, { "id": 81813, "title": "Robotics Software Engineer", "url": "https://www.ycombinator.com/companies/splash-inc/jobs/IfgOuhs-robotics-software-engineer", "location": "El Segundo, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$120K - $200K", "equity_range": "0.01% - 0.60%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "C++", "Python" ] }, { "id": 87567, "title": "Mechanical Engineer (Mid-Senior Level)", "url": "https://www.ycombinator.com/companies/splash-inc/jobs/tXYqg78-mechanical-engineer-mid-senior-level", "location": "El Segundo, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$100K - $160K", "equity_range": "0.01% - 0.50%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "CAD Design" ] }, { "id": 100697, "title": "Frontend Engineer (UI/UX)", "url": "https://www.ycombinator.com/companies/splash-inc/jobs/W0qB9q3-frontend-engineer-ui-ux", "location": "El Segundo, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$100K - $160K", "equity_range": "0.01% - 0.30%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "React", "TypeScript", "gRPC" ] }, { "id": 100699, "title": "General Application", "url": "https://www.ycombinator.com/companies/splash-inc/jobs/tagXRig-general-application", "location": "El Segundo, CA, US", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$60K - $120K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 112124, "title": "Maritime Logistics Specialist ", "url": "https://www.ycombinator.com/companies/splash-inc/jobs/6PwsQ3K-maritime-logistics-specialist", "location": "Inglewood, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$60K - $110K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Splash Industries robo-restocks warships at RIMPAC", "url": "https://www.axios.com/2026/07/22/rimpac-splash-typhoon-drone-boat", "date": "Jul 22, 2026" }, { "title": "Splash Industries robo-restocks warships at RIMPAC", "url": "https://www.axios.com/2026/07/22/rimpac-splash-typhoon-drone-boat", "date": "Jul 22, 2026" }, { "title": "Ubiquity Backs Splash: The only startup autonomously resupplying US Navy warships", "url": "https://www.nerdyandearly.com/p/ubiquity-backs-splash-industries?utm_campaign=email-half-post&r=5e3n5y&utm_source=substack&utm_medium=email", "date": "Jul 21, 2026" }, { "title": "CAMRE, FLEETWERX Conduct First-of-Its-Kind Digitally Crewed Surface Vessel Resupply During RIMPAC 2026", "url": "https://www.navy.mil/Press-Office/News-Stories/display-news/Article/4551621/camre-fleetwerx-conduct-first-of-its-kind-digitally-crewed-surface-vessel-resup/", "date": "Jul 20, 2026" }, { "title": "Can new drones, 3D printers defeat distance’s tyranny? RIMPAC aims to find out - Defense One", "url": "https://www.defenseone.com/technology/2026/07/can-new-drones-3d-printers-defeat-distances-tyranny-rimpac-aims-find-out/414825/", "date": "Jul 15, 2026" } ], "launches": [ { "id": 87871, "title": "Splash - Autonomous Patrol Boats for National Security", "tagline": "Guarding critical infrastructure against maritime threats", "body": "At Splash, we’re building the next generation of unmanned surface vessels to make the seas a safer place.\n\n\n\n**The Problem**\n\nMaritime threats are evolving faster than ever before and our most critical assets are at risk. Conflicts around the world have shown the threat autonomous boats pose to both commercial and military vessels, as well as to coastal infrastructure. There is currently no effective defense available.\n\nDomestically, thousands of miles of our maritime borders remain unsecured as the Coast Guard simply doesn’t have the resources to patrol such vast distances. This allows narco-submarines to enter our country unchallenged.\n\nInternationally, certain countries are facing the very real possibility of asymmetric Naval warfare and it is becoming clear that the leaders in autonomy will have major advantages in potential conflicts.\n\nAs our adversaries continue to advance in maritime robotics, these threats will only become more prevalent, and something must be done.\n\n**Our Solution**\n\n![uploaded image](/media/?type=post&id=87871&key=user_uploads/2193228/eba2afb1-f728-4380-a877-00fb0f16326f)\n\nWe’re building autonomous surface vessels (ASVs) to guard maritime borders, support Naval operations and provide security presence around critical pieces of infrastructure such as oil rigs and shipping terminals. Our algorithms will be able to identify suspicious vessels, classify threats and react immediately and autonomously. We’re building both the hardware and software in-house and from the ground up to ensure that everything integrates perfectly so that users can focus on their core missions.\n\nOur vessels are modular, allowing for a variety of payloads from side-scan sonars for bathymetric mapping to deployable UAVs for wind turbine inspections. Although security is our primary focus, there are countless commercial use cases as well.\n\n**Our Progress**\n\nOver the past month, we designed, built and tested (then sunk and re-built) two iterations of our patrol boat. In fact, we moved so fast that we finished building our second one before the diver could even fish out the first. As they say, move fast and break things!\n\nWe’ve recently implemented full autonomy, and have already driven over a hundred miles in San Francisco bay without a single human input.\n\n**The Team**\n\nWe’ve been friends for a decade, and we spent 6 of those years building our previous company in which we designed and manufactured airflow testing tools for government agencies and large industrial companies. Our customers include NASA, Tesla, the US Navy and even Los Alamos National Labs! We’ve manufactured tens of thousands of units across a few dozen SKUs so understand exactly what it takes to make a product at scale, and then sell to the largest of customers.\n\nAs hobbies, we’ve built everything from RC planes to electrohydrodynamic thrusters to deep-sea robots so Splash is a dream-come-true for us. What could possibly be more fun than building a 10ft-long AI-powered jet-boat that goes 70mph? Well… possibly a 100ft one 🙂\n\n**Our Ask**\n\nWe’re always looking to further grow our Defense, Maritime and Oil&Gas connections, so if you know any decision-makers who work in these sectors, we’d love to chat at [founders@splash9.com](mailto:founders@splash9.com)", "url": "https://www.ycombinator.com/launches/MrH-splash-autonomous-patrol-boats-for-national-security", "votes": 57, "created_at": "2025-02-20T19:29:08.780Z" } ] }, { "id": 30196, "name": "Stamp", "slug": "stamp", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ec77fe8f30c765884c0359fdaafcf0412168dd15.png", "website": "https://www.stampmail.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Stamp is the first AI Native inbox. It's more than an email client, though -- it's like your second brain.\r\n\r\nStamp can respond to emails in your voice, organize your inbox to filter out the noise, keep track of action items, and automate essentially every task you're doing manually in your inbox today.", "one_liner": "The AI Secretary for Email and Calendar.", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1739302465, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 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/stamp", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/stamp.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/stamp-ai/", "x_url": "https://x.com/StampMail", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ec77fe8f30c765884c0359fdaafcf0412168dd15.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": 974285, "full_name": "Archit Mehta", "title": "Founder/CEO", "founder_bio": "Stamp CEO. Previously graduated at 20, built products with 50k+ users, Software Engineer at Stripe.", "is_active": true, "linkedin_url": "https://linkedin.com/in/4architmehta", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/70440c5325cf760c66e43f447d00331f90428675.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87653, "title": "Stamp: Cursor for Email", "tagline": "The First AI Native Email Client", "body": "# **TL;DR**\n\n[Stamp](https://stampmail.ai) is the first AI Native Email Client. It replies to emails in your voice, automatically prioritizes emails, and tracks key action items for every email. \n\nIt’s more than an email client. It’s like your second brain.\n\nWatch our demo [here](https://youtu.be/pLrj4Gtgg6Y)\n\n# **The Problem**\n\nWe’ve all dealt with managing hundreds of daily emails, and it's a massive headache. \n\nTrying to stay on top of your emails is practically a second job. The average employee spends 25% of their time at work buried in their inbox, and the average person receives 100+ emails daily that require manual action.\n\n# **The Solution**\n\nThis is why we built Stamp, the inbox that tailors itself to you.\n\n**Tab, Tab, Tab**\n\nStamp gives you Cursor Tab, right in your inbox. It automatically generates contextualized sentence completions and inline diffs, right as you type your email\n\n![uploaded image](/media/?type=post&id=87653&key=user_uploads/974285/99a30113-256c-4483-9b01-8f3ba4551924)\n\n**Write Emails at the Speed of Thought**\n\nStamp writes emails in your voice with global context from your inbox. The tone and context for every reply are intelligently tailored to the recipient, exactly like the emails you’d write yourself.\n\n![uploaded image](/media/?type=post&id=87653&key=user_uploads/974285/71ebc832-0d0c-4424-bb75-0fc78a30bba0)\n\nAnd just like Cursor CMD+K, you can edit portions of your email with a single highlight.\n\n![uploaded image](/media/?type=post&id=87653&key=user_uploads/974285/ab444480-64be-4467-a31a-0177190f61ff)\n\n**Filter Out the Noise**\n\nStamp allows you to write email filters in plain English, so you can automatically prioritize the emails that matter most and filter out junk. Emails from the same categories are automatically grouped together, so that you can focus on the emails that truly matter most.\n\nYou’ll never have to read a junk email again.\n\n![uploaded image](/media/?type=post&id=87653&key=user_uploads/974285/63ad1ba9-afa1-4608-9514-59a82e56aff2)\n\n**Stay On Top of Your Inbox**\n\nStamp automatically generates summaries and extracts key action items for every email you receive, so that you always remember to follow up on critical tasks.\n\nNever worry about missing a deadline again.\n\n![uploaded image](/media/?type=post&id=87653&key=user_uploads/974285/797ff8f1-4db9-4c3a-b7e0-9239f53a3f00)\n\n# **Our Ask**\n\nYou can get started with Stamp by signing up at [stampmail.ai](http://stampmail.ai). Users who sign up within the next week will be able to use Stamp for **100% free for 1 year**.\n\nAs soon as you sign up, Stamp will get to work, automatically prioritizing your inbox, tracking action items, and creating summaries for recent emails!\n\nIf you have questions or feedback, you can always feel free to reach out to us at [founders@stampmail.ai](mailto:founders@stampmail.ai) \n\n# **Team**\n\n[Archit](https://linkedin.com/in/4architmehta) - Previously worked as a Software Engineer at Stripe, where he saved the company $1,000,000+ yearly by optimizing database storage. He also previously worked on Autonomous Systems at Apple and Robotic Surgery at Johnson & Johnson Robotics. Before that, he graduated from Cornell at age 20, where he led a team of 50 students building mobile apps with 10,000+ daily users. While still in high school, he built a PPE price tracker that scaled to 50,000 users during the height of the pandemic.\n\n![uploaded image](/media/?type=post&id=87653&key=user_uploads/974285/1d60b94d-bb74-4412-a480-0f0fbdf30663)\n\n", "url": "https://www.ycombinator.com/launches/Mnl-stamp-cursor-for-email", "votes": 51, "created_at": "2025-02-13T17:25:39.380Z" } ] }, { "id": 30197, "name": "Alice.tech", "slug": "alice-tech", "former_names": [ "Alice.tech", "Alice" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d58e9c6646fcf2c8783dc4e02f6ae0189039d29d.png", "website": "https://www.alice.tech/", "all_locations": "Copenhagen, Denmark", "long_description": "Alice turns generic course materials into personalized learning and exam prep using AI. We’re Duolingo for exams, and more than 10k college students have already used Alice. \r\n\r\nKim, the CEO, is a domain expert in education with more than 10+ years of university teaching experience. He is also technical by background.\r\n\r\nMRR is $20k, growing +10% week-over-week the last 8 weeks\r\n\r\nAlice's core market opportunity is +$10b, with the global education market being almost $10trillion. As AI starts to disrupt education, Alice will use in-built network effects and virality in its product to create a global winner. \r\n\r\nGo Alice. Thank you!", "one_liner": "AI-driven exam prep", "team_size": 5, "industry": "Education", "subindustry": "Education", "launched_at": 1736959747, "tags": [ "AI-Enhanced Learning", "Education", "Generative AI", "SaaS", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Education" ], "regions": [ "Denmark", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "Kim has over 10 years of experience teaching university students and a deep expertise in AI. In December 2023, he conceived the idea for Alice.tech to tackle one of the most pressing challenges in education today: the lack of affordable personalized learning solutions. Kim and Patrick have been friends for eight years and frequently discussed startup ideas, though they hadn’t pursued one together until now. After just a few weeks of prototyping, they became convinced of Alice.tech’s potential—not only as a viable product but as something they both wished they’d had during their own student years. This shared vision led them to co-found Alice.tech in February of 2024." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Education is one of the largest and most influential industries in the world, with +20% of the global population being students.Yet, today’s education system still follows the assembly-line approach from the industrial revolution—leaving students stuck with standardized, one-size-fits-all learning methods that create three major pains:1. Compromised learning2. Emotional stress3. Wasted timeThese intensify towards the exam, leaving a glaring problem to be solved. Until now, solutions like private tutors have been expensive, inaccessible to most, and inconsistent in quality. But with advancements in AI, this is finally changing…" }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "A brighter, more equal world." } ], "url": "https://www.ycombinator.com/companies/alice-tech", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/alice-tech.json", "year_founded": 2024, "city": "Copenhagen", "country": "DK", "linkedin_url": "https://www.linkedin.com/company/alice-tech/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d58e9c6646fcf2c8783dc4e02f6ae0189039d29d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ba2b373795963b167f0ff02ef38cd5b4d3db94ef.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e5fa89d50f4114b1afb0cce92968bcc0aec6a91d.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1900651, "full_name": "Kim Rants", "title": "Founder/CEO", "founder_bio": "Kim is the CEO and Co-founder of Alice. \n\nBefore Alice, Kim worked as an Associate Partner at McKinsey, where he specialized in AI. He was the fastest in Europe to make Engagement Manager. He also worked in LEGO as Head of Global Business Development. \n\nKim has taught university students for 11+ years. \n\nMSc in Computer Science from Imperial College London & MSc in Finance from LSE.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kimrants/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b105ea0b0986c4fb4304873ce412b1f267ff0afb.jpg" } ], "jobs": [], "news": [ { "title": "Pitch Deck: Alice.Tech Raises $4.8 Million for AI Edtech Platform - Business Insider", "url": "https://www.businessinsider.com/pitch-deck-alice-tech-funding-ai-edtech-2025-5", "date": "May 07, 2025" } ], "launches": [ { "id": 87253, "title": "Alice 👩‍🎓 AI-Powered Exam Prep", "tagline": "Alice turns generic course materials into personalized learning and exam prep using AI", "body": "Hey everyone [👋](https://emojipedia.org/waving-hand)\n\nWe’re [Kim](https://www.linkedin.com/in/kimrants/) and [Patrick](https://www.linkedin.com/in/patrick-gadd/ ) – co-founders of [Alice](https://www.alice.tech/). \n\n# **TL;DR**\n\n**Alice turns generic course materials into personalized learning and exam prep using AI**. Over 2,000 students have already used Alice to improve their grades. \n\n**_Ask_:** Can you introduce us to student organizations, educators, high-schools, or universities that could benefit from rolling out responsible and advanced AI? Contact us at [kim@alice.tech](mailto:kim@alice.tech)  \n\n[**https://www.youtube.com/watch?v=3OcZOUE44nM**](https://www.youtube.com/watch?v=3OcZOUE44nM)\n\n# **❌ The Problem**\n\nEducation is one of the largest and most influential industries in the world, with +20% of the global population being students.\n\nYet, today’s education system still follows the assembly-line approach from the industrial revolution—leaving students stuck with standardized, one-size-fits-all learning methods that create three major pains:\n\n1. Compromised learning\n2. Emotional stress\n3. Wasted time\n\nThese intensify towards the exam, leaving a glaring problem to be solved. \n\n![Education: One size no longer has to fit all - Technology and Operations Management](https://d3.harvard.edu/platform-rctom/wp-content/uploads/sites/4/2016/11/animals.jpg)\n\nUntil now, solutions like private tutors have been expensive, inaccessible to most, and inconsistent in quality. But with advancements in AI, this is finally changing…\n\n# [👷](https://emojipedia.org/construction-worker) Our Solution\n\nAt Alice, we’re a team of former teachers and AI experts using the latest technology to make personalized learning more accessible. \n\nAlice turns generic course materials into personalized learning and exam prep using AI. Students simply upload what they want to study and instantly get access to:\n\n* **Better understanding** 📚: Key topic overviews with support from an AI chat that knows their context. \n* **Effective practicing** 📝: Tailored exercises (level, format, curriculum, etc.), including flashcards, multiple-choice questions, and full exam simulations and grading. \n* **Targeted improvement** 🎯: Identification of weaknesses for more targeted and complete learning.\n\nPlus, Alice makes learning fun by allowing students to study with or against their friends.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdDw2pjseLEjX6Ww72ZtmrbUuDeBLrs_fv3teZlN1MUP_mkmlXcOOCe7ASwp23xZnw1VX4RX0g_XMuNjVUnpY0cMp3f60VijccTva3dKPX4kmX_Vsvl54w3HZ3IYXrcOE5qSNY5wg?key=Jl8x5eY4hkisaV-3Hb514LsF)\n\n# 🙏 Our Ask\n\nIf you answer “yes” to any of these, we’d love your help:\n\n* Do you know any college students that might be up for trying an innovative AI study platform? Or are you one yourself? You can sign up here: [www.alice.tech](http://www.alice.tech) and use the promo code 40PERCENT for an exclusive YC launch offer providing free trial and 40% off [🚀](https://emojipedia.org/rocket)\n* Can you introduce us to any student organizations that might look for AI solutions to their members?\n* Can you introduce us to educators, high-schools or universities that might be looking for responsible and advanced AI solutions to help their students and teachers?\n\n👉 Contact us at [Kim@alice.tech](mailto:Kim@alice.tech)\n\nYour help can make a huge difference. **Thank you!**\n\n# [👬](https://emojipedia.org/men-holding-hands) The Team\n\nKim and Patrick have known each other for almost 10 years and co-founded Alice in 2024. \n\nKim (CEO) has worked as an Associate Partner at McKinsey, where he specialized in AI, and has taught university students for 10+ years. He holds two MSc. degrees: one in Finance and one in Computer Science, with specialization in AI.\n\nPatrick (CTO) has worked as Senior Data Scientist at LiveIntent (US AdTech firm), leading the internal MLOps framework, and invented a patented machine learning solution for audiences driving significant incremental revenue. He has worked with ML and software engineering his entire career. He holds an MSc in Computer Science from the University of Oxford.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdDsx0iNiJ4dnGgVrOIymgqtsqtLpdFFiaLJgh-29bAwK-O9yGLZUVqZB2qKW8LCF5HfDTTrWrAZJQHwXtvoruPCFt64S93WIbu2rL51Lod_jLemsN6LsgvWptpjmHAwY2YtAAQ?key=Jl8x5eY4hkisaV-3Hb514LsF)\n\n", "url": "https://www.ycombinator.com/launches/MhJ-alice-ai-powered-exam-prep", "votes": 671, "created_at": "2025-01-29T15:57:36.018Z" } ] }, { "id": 30198, "name": ".Wave", "slug": "dotwave", "former_names": [ "Dollyglot" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e16adbb8c4442e6124b56566c82ed680beaba21a.png", "website": "https://dotwave.ai/", "all_locations": "Paris, Île-de-France, France", "long_description": ".Wave builds a continuous inference engine for streaming AI models, including full-duplex voice and streaming speech recognition. \r\n\r\nCustomers bring their models; we integrate and run them, managing execution, session state, and scheduling to reduce end-to-end latency and serving cost per live session. \r\n\r\nWe use cadenced inference to support more concurrent sessions per GPU while keeping latency low and consistent.", "one_liner": "Continuous inference for streaming AI models", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1741300119, "tags": [ "Generative AI", "B2B", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "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/dotwave", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/dotwave.json", "year_founded": 2024, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/dotwaveai/about/?viewAsMember=true", "x_url": "https://x.com/dotwaveai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e16adbb8c4442e6124b56566c82ed680beaba21a.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": 1458005, "full_name": "Thomas Minassian", "title": "Founder/CEO", "founder_bio": "CEO .Wave. Our team built Parler-TTS Mini Multilingual, the world’s first fully multilingual open-source text-to-speech model, with 300,000 monthly downloads, and Dollyglot, the first model to turn a photo into a real-time video avatar.", "is_active": true, "linkedin_url": "https://linkedin.com/in/thomas-minassian-b25626102", "x_url": "https://x.com/thminassian", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3b4cb586d951f5c9e9e241d2265b52891a44a07b.jpg" }, { "user_id": 1646678, "full_name": "Paul-Henri Biojout", "title": "Founder/CTO", "founder_bio": "CTO .Wave. Our team built Parler-TTS Mini Multilingual, the world’s first fully multilingual open-source text-to-speech model, with 300,000 monthly downloads, and Dollyglot, the first model to turn a photo into a real-time video avatar.", "is_active": true, "linkedin_url": "https://linkedin.com/in/phbiojout", "x_url": "https://x.com/PH_BJT", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/55f57ae0118a71774fb96b1871b9a9eaf10dc3b9.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 88334, "title": "Dollyglot: Befriend Anybody", "tagline": "Dollyglot is like Character.ai but with real-time video avatars.", "body": "[Dollyglot](https://www.dollyglot.com/) is like Character.ai but with real-time video avatars.\n\nTurn a photo and a voice into a real friend. Speak with Harry Potter about Hogwarts, or brainstorm ideas with The Rock!\n\n[**Our Product Video**](https://youtu.be/GhuqAMSq6HY)\n\n**Our Team:** **We’ve lived and worked together for two years**\n\n**Thomas**: Ex-quant at Société Générale. Master’s in Applied Mathematics and Business (HEC Paris, University of Paris 7).\n\n**Paul-Henri**: Built the Yumi Dialogue Engine, an AI for creator “clones” that scaled to 1 000 paying users. Dropped out of CentraleSupélec (Computer Science) to launch Dollyglot.\n\n**Together, we built Parler-TTS Mini Multilingual**, the world’s first and only fully open-source multilingual text-to-speech model. In the last month alone, it has garnered over 5,000 downloads and inspired many fine-tuning projects.\n\n![uploaded image](/media/?type=post&id=88334&key=user_uploads/89898/49894db9-ac0d-45da-bb91-4944831f8a38)\n\n**Our Vision**\\\nWithin five years, every Gen Alpha will have an AI best friend. By nature, AI is empathetic and nonjudgmental, creating a safe space where everyone can truly be themselves.\n\n**What We’ve Built**\n\nDollyglot developed the world’s first and only photo-to-real-time video avatar model. Paired with reasoning models like DeepSeek R1 or Grok, we bring your AI friends to life and make 'non-lobotomized' characters.\n\n **What’s Next**\n\nJoin our waitlist to try Dollyglot in the coming weeks.\n\nQuestions? Contact Thomas (CEO) at [thomas.minassian@dollyglot.com](mailto:thomas.minassian@dollyglot.com) or Paul-Henri (CTO) at [paul-henri.biojout@dollyglot.com](mailto:paul-henri.biojout@dollyglot.com).", "url": "https://www.ycombinator.com/launches/Myk-dollyglot-befriend-anybody", "votes": 18, "created_at": "2025-03-07T01:37:29.930Z" } ] }, { "id": 30199, "name": "awen", "slug": "awen", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c1f3190ee23bef18e805a06ab238214a0db50d11.png", "website": "https://www.awen.ai/", "all_locations": "Paris, Île-de-France, France; Remote", "long_description": "AI creative tools became powerful quickly. But they also got complicated. Most of them require creatives to do the engineering.\r\n\r\nPrompts.\r\nParameters.\r\nNode graphs.\r\n\r\nCreative work doesn’t start there. It starts with thinking, exploring directions, and iterating on ideas. With Awen, we’re trying a different approach: \r\n\r\nA creative partner that turns intent into exceptional visuals through conversation.", "one_liner": "awen translates intent into exceptional visuals through conversation", "team_size": 6, "industry": "B2B", "subindustry": "B2B", "launched_at": 1740711023, "tags": [ "Generative AI", "SaaS", "Creator Economy" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "France", "Europe", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/awen", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/awen.json", "year_founded": 2023, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/awen-ai", "x_url": "https://x.com/awen_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c1f3190ee23bef18e805a06ab238214a0db50d11.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": 1031855, "full_name": "Thibault Henriet", "title": "Founder/CEO", "founder_bio": "Founder at awen. Previously served as Head of Operations France at Moda Operandi, a fashion tech scale-up, overseeing creative operations. Prior, worked as an assistant for contemporary artists, supporting artwork production and managing commissions across advertising, cinema, design, fashion, music, and publishing industries. At 21, received the prestigious O1 visa in visual arts. Alumnus of Sciences Po Paris.", "is_active": true, "linkedin_url": "https://linkedin.com/in/thibault-henriet-595a5860", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4ff2e7aa19254fe709d7832a5e8a64ee3ad64ad4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 99315, "title": "Awen", "tagline": "We translate intent into exceptional visuals through conversation", "body": "Bonjour,\n\nAI creative tools became powerful quickly.\n\nBut they also got complicated. Most of them require creatives to do the engineering: prompts, parameters, node graphs.\n\nIn many cases, creatives are now expected to think like engineers but creative work doesn’t start there. It starts with thinking, exploring directions, and iterating until something feels right. That’s what we wanted to build around.\n\nWith **Awen**, we’re trying a different approach:\n\nA creative partner that turns intent into exceptional visuals through conversation.\n\nWatch with sound on and join now on \n\n* If you'd like to connect with us directly, please reach out to [thibault@awen.ai](mailto:thibault@awen.ai).\n\n\n\n![uploaded image](/media/?type=post&id=99315&key=user_uploads/1031855/a714a829-87bf-4ddd-9d41-68132f6a201f)\n\n", "url": "https://www.ycombinator.com/launches/Ppr-awen", "votes": 18, "created_at": "2026-04-01T14:46:53.694Z" }, { "id": 88151, "title": "Awen: Imagine Photoshop, but simple?", "tagline": "awen makes creation as natural as having a conversation.", "body": "🎥 **Rather than tell you, we’d rather show you:**\n\n\n\n**TL;DR**\n\nTraditional creative tools are powerful but complex. Awen changes that. Instead of navigating complex menus, creatives can simply describe their vision—_“Draw me a Swiss mountain lake. Now make it sunset. Add a boat. Now animate it.”_\n\nAwen leverages AI reasoning to understand creative intent through voice. Our goal is to redefine how creatives engage with AI technology, balancing power and ease of use for both professionals and newcomers.\n\nWe are rebuilding Photoshop, with an AI-voice interface.\n\n**The Team**\n\nAwen is built by Thibault, Pablo, and Antoine—a unique blend of experts in machine learning, software engineering, and creative production in advertising, fashion, media, publishing, and entertainment.\n\n**Shall we speak?**\n\nOur community is growing with talented minds:\n\n* If you'd like to connect with us directly, please reach out to [thibault@awen.ai](mailto:thibault@awen.ai).\n* Want to join the visionaries on our waitlist? [Sign-up here.](https://www.awen.ai/)\n\n![uploaded image](/media/?type=post&id=88151&key=user_uploads/1031855/fa2e6ae2-1d36-4b99-9ae5-4a12408fd535)\n\n", "url": "https://www.ycombinator.com/launches/Mvn-awen-imagine-photoshop-but-simple", "votes": 42, "created_at": "2025-02-28T17:41:28.908Z" } ] }, { "id": 30200, "name": "Karoo", "slug": "karoo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0325dd0445e6e32c47cab4c3ffeb0610307557e0.png", "website": "https://www.karoo.ca", "all_locations": "Toronto, ON, Canada", "long_description": "US consumers within the risk appetite of prime lenders are served by the most competitive and efficient consumer lending marketplace globally. However, once you fall outside of this as a borrower, market efficiency breaks down and incumbents take advantage of low levels of competition to price gouge. We're fixing this.", "one_liner": "AI native consumer lending platform for underserved Americans", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech -> Consumer Finance", "launched_at": 1736890224, "tags": [ "Fintech", "Consumer", "Neobank" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Fintech", "Consumer Finance" ], "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/karoo", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/karoo.json", "year_founded": 2024, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/karoo-ca/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/karoo-ca", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0325dd0445e6e32c47cab4c3ffeb0610307557e0.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": 1867063, "full_name": "Jeanot Dawson", "title": "Founder/CEO", "founder_bio": "CEO of Karoo, previously Head of US Loans at Lendable", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jeanot-dawson-67191b17?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7105ad5f6d69fbd05caa6ba2e41204a228c1c84e.jpg" }, { "user_id": 2202197, "full_name": "Hugo Markland", "title": "Founder", "founder_bio": "Chief Capital Officer of Karoo\nEarly stage employee at Lendable and led UK capital markets - raised bns of funding ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hugo-markland-cfa-712409125/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/aa75d2bbbc010012b81bf99996a9b01aeba00ca8.jpg" }, { "user_id": 1876466, "full_name": "Oliver Lambson", "title": "Founder/CTO", "founder_bio": "CTO of Karoo. 0 lines of code to first loan in 45 days.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/oliverlambson/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b959c901b74523ac18f1436688834a1709ca2e32.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30201, "name": "Dartboard", "slug": "dartboard", "former_names": [ "Dartboard Energy" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e6b5a6279db8d201fef41a88a35c1d4c0828744e.png", "website": "https://dartboard.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Dartboard is the modern remote operations center for hardware fleets. We pair expert operators with AI agents to identify, diagnose, and fix issues faster.", "one_liner": "AI-native remote operations center for hardware fleets", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1739492408, "tags": [ "Hardware", "Robotics", "Energy", "AI", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "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/dartboard", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/dartboard.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/dartboard-ai/", "x_url": "https://x.com/dartboard_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e6b5a6279db8d201fef41a88a35c1d4c0828744e.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": 44103, "full_name": "Rohun Ati", "title": "Founder/CEO", "founder_bio": "CEO at Dartboard. 10th employee and data scientist at Second Measure (YC S15), stayed through its acquisition by Bloomberg. Built the data pipelines for a first-to-market credit card transaction dataset, now powering the Bloomberg Terminal. Later worked at AutoGrid forecasting battery revenues across U.S. power markets. Built ERCOT benchmarking software used by utility-scale battery operators including Spearmint Energy and UBS.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rohunati", "x_url": "https://twitter.com/rohunati", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1797a7c71f5ed6498665c5cf7dde48d71e005ff5.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87687, "title": "Dartboard Energy: AI Analyst for Electricity Markets", "tagline": "Uncover missed revenue for grid-connected battery owners while staying compliant", "body": "We’re building an AI Analyst for Electricity Markets, starting with the owners of grid-connected battery projects.\\\n\\\n\n\n**Context**\n\nBattery owners earn revenue by charging (buying) and discharging (selling) power in electricity markets.\n\nThe goal is to maximize revenue within constraints – some of which are physical, like battery capacity, duration, and efficiency, while others are regulatory. This is challenging because (1) markets are volatile and (2) complex and frequent regulatory updates make it difficult to assess both the revenue impact of rule changes and compliance risks.\n\n**Problem**\n\nTo make money on the grid, battery owners must analyze market data and keep up with thousands of constantly changing regulatory documents. Electricity markets work like auctions -- every 5 minutes, battery owners decide how much power to buy or sell and at what price. Even the most data-savvy teams can’t keep up, leaving owners with little visibility into how others are making money. And rule changes aren’t just small tweaks – they can completely upend the market. To avoid financial penalties, battery owners spend millions on lawyers and consultants just to stay compliant.\n\n**Solution**\n\nDartboard is an AI Analyst that uncovers missed revenue for owners of grid connected batteries while ensuring compliance. We provide value in two key ways:\n\n* **Market Intelligence:** We ingest historical market data so that owners can evaluate optimization strategies and uncover money they might be leaving on the table.\n* **Regulatory Guidance:** Our AI Analyst, trained on the latest rule changes, translates complex regulations into clear, actionable insights — helping owners navigate compliance without the need for expensive consultants.\n\n**Asks**\n\nIf you know any developer/owner/operators of grid-scale battery projects, energy traders, or energy-focused private equity investors, we’d love to meet them. Please reach out at [**rohun@dartboardenergy.com**](mailto:rohun@dartboardenergy.com).\n\n![uploaded image](/media/?type=post&id=87687&key=user_uploads/44103/4c267efd-7f8c-4bec-b718-7d5b6a16c3b4)\n\n", "url": "https://www.ycombinator.com/launches/MoJ-dartboard-energy-ai-analyst-for-electricity-markets", "votes": 23, "created_at": "2025-02-14T01:49:36.560Z" } ] }, { "id": 30202, "name": "Astro", "slug": "astro", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/988eb2e2b20c2a99fe4d96b54932cdebea0632d4.png", "website": "https://www.astroenergy.ai/", "all_locations": "New York City, NY, USA", "long_description": "Astro develops power-ready land for AI data centers. Power is now the bottleneck for new data centers, and Astro’s models find the sites that have it. Founder Alex Fuster traded grid congestion at Citadel across US power markets, predicting where the grid would run out of room.", "one_liner": "Power-ready land for AI data centers", "team_size": 1, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1739813505, "tags": [ "Solar Power", "Energy", "Renewable Energy", "ClimateTech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Industrials", "Energy" ], "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/astro", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/astro.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/astro-energy-inc/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/988eb2e2b20c2a99fe4d96b54932cdebea0632d4.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": 2392441, "full_name": "Alex Fuster", "title": "Founder/CEO", "founder_bio": "Founder and CEO at Astro. Traded grid congestion at Citadel. Stanford BS in physics and MS in computer science.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alex-f-573560101/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f727d7a0d23b22ac364221ad69d6a33eda2ece67.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87853, "title": "Astro: The world’s first AI energy developer", "tagline": "We use AI to de-risk early development, creating ready-to-build renewable energy projects", "body": "Astro uses AI to find and buy land for new renewable energy projects, secure agreements to connect them to the power grid at minimal costs, and then sell these development-ready projects to larger energy companies.\n\n**The Problem**\\\nThe renewable energy transition faces a critical bottleneck: the US needs to add 2,000 gigawatts of new power generation by 2035 to support growing electricity demand from AI data centers and electrification.  Building these new power plants requires finding suitable land and connecting them to the grid - but this is where projects fail. Most potential locations are unprofitable because developers discover too late that they need to spend millions upgrading power lines and infrastructure for grid connection. Traditional energy developers spend months evaluating single locations, only to have projects die when they discover these hidden costs.\n\n**The Solution**\\\nAstro’s proprietary AI models predict these grid connection costs upfront, enabling it to buy the most profitable land before costs increase. Astro’s models handle all the early development work - from finding the right location to securing grid connection agreements - creating a pipeline of development-ready projects that larger energy companies can immediately start building.\n\n**Backstory**\\\nI’m Alex, I studied physics + computer science at Stanford and was an energy trader at Citadel. While trading energy markets, I discovered that power grid congestion patterns are highly predictable - but developers aren’t using this data. This insight led me to build models that identify the best land to buy and prepare for larger developers to build on.\n\n**Ask**\\\nWe’re looking to connect with:\n\n* Energy companies interested in buying development-ready projects (land secured + grid connection approved)\n* Landowners and brokers near major transmission lines in central Illinois\n* Power systems engineers with interconnection study experience\n\nIf you’re interested in accelerating the clean energy transition or have expertise in any of these areas, I’d love to chat! You can reach me at [alex@astroenergy.ai](mailto:alex@astroenergy.ai)\n\n![uploaded image](/media/?type=post&id=87853&key=user_uploads/89898/f2583845-46e4-471f-8932-1fbc09d4e105)\n\n", "url": "https://www.ycombinator.com/launches/Mqz-astro-the-world-s-first-ai-energy-developer", "votes": 37, "created_at": "2025-02-20T17:18:28.843Z" } ] }, { "id": 30203, "name": "Vocality Health", "slug": "vocality-health", "former_names": [ "Celebi AI", "Scyther" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/41da0485e955f2070020b3fb65cf8716d346525e.png", "website": "https://www.vocalityhealth.com", "all_locations": "San Francisco, CA, USA", "long_description": "Our app allows doctors to speak any language, eliminating the need for human medical translators in hospitals and clinics. Despite spending billions on in-person and remote translators—mostly through outdated call centers—hospitals still fail to provide adequate care for non-English-speaking patients.\r\n\r\nWe're building the most accurate and compliant medical language translation system across voice and video modalities. ", "one_liner": "Voice AI for medical language translation", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare Services", "launched_at": 1740652526, "tags": [ "Healthcare", "Health & Wellness", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Healthcare", "Healthcare Services" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/vocality-health", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/vocality-health.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/vocality-health", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/41da0485e955f2070020b3fb65cf8716d346525e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/cca826eda9718ca1004474d32e24cc5be538d12f.png" ], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 467701, "full_name": "Brogan McPartland", "title": "Founder/CEO", "founder_bio": "Brogan is the co-founder and CEO of Vocality Health. Previously, he co-founded Fulltrack AI, a viral computer vision sports app, with Vivek. He was the CTO overseeing the app reaching 4 million downloads and becoming the #1 sports app in India, surpassing the Olympics app (during the Olympics). He scaled Fulltrack to mid-six-figure MAUs and holds three patents. He studied computer science at Harvard and speaks fluent Hindi. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/brogan-mcpartland-05830031a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/984fbe49c8de1bae8d8ccf653677887b04b8f833.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 88135, "title": "Vocality Health: AI-powered medical interpretation for hospitals", "tagline": "Your AI powered medical interpreter, breaking language barriers in healthcare", "body": "Hey everyone [👋](https://emojipedia.org/waving-hand)\\\nWe’re [Brogan](https://www.linkedin.com/in/brogan-mcpartland-05830031a/) and [Vivek](https://www.linkedin.com/in/vivek-jayaram/), the cofounders of [Vocality Health](https://www.vocalityhealth.com).\n\n**TL;DR**: Hospitals spend billions on medical language interpretation services every year. Despite the cost, patients still face language barriers in healthcare. Vocality Health is building the most accurate and secure AI medical language interpretation system. Unlike human interpreters, Vocality is instant, always available, and integrates directly into hospital workflows. Hospitals are already signing up.\\\n\\\n\n\n---\n\n## The Problem ❌\n\nHospitals struggle to communicate with linguistically diverse patients. Current solutions like human interpreters, phone services, or ad hoc translation by family members are slow, expensive, and often unavailable when needed most. Miscommunication leads to worse outcomes, longer hospital stays, and nearly doubles the cost of care.\n\n---\n\n## Our Solution ✅\n\nVocality Health is an AI-powered interpretation platform for hospitals that provides real-time, accurate, and clinically safe translation for doctors and patients.\n\nUnlike existing services:\n\n* **🏥 Instant & Always On** – No need to wait for an interpreter.\n* **🧑‍⚕️ Built for Hospitals** – Designed for clinical use, not general-purpose translation. Compliant and built to preserve patient privacy.\n* **📲 Fully Integrated** – Works with existing systems and hospital workflows.\n\nHospitals using Vocality get faster patient care, lower costs, and better outcomes.\n\n---\n\n## The Team 🤝\n\nVivek and I met as undergrads on the Harvard Cricket Club and later built [Fulltrack AI](https://www.linkedin.com/company/fulltrack-ai), a viral cricket app that became the #1 sports app in India, outranking the Olympics app (during the Olympics).\n\nWe’re now teaming up again to solve a problem that is deeply personal to both of us. After being denied coverage in the U.S., I spent years navigating international healthcare, experiencing firsthand how language barriers impact care and outcomes. Vivek, a PhD in speech generative models, has spent years developing AI to improve real-time communication. This problem is at the intersection of our experiences and expertise, and we couldn’t be more excited to be tackling it.\n\n![uploaded image](/media/?type=post&id=88135&key=user_uploads/467701/8b9289f5-6fd0-428c-9709-049edb562379)\n\n---\n\n## 🚀 Early Traction\n\n🏥 **Hospitals are already signing up to use Vocality Health.** Even at this early stage, they see the value and are willing to pay today.\n\nIf you're a hospital, provider, or industry expert, we’d love to chat.\n\n📩 Get in touch at [founders@vocalityhealth.com](mailto:founders@vocalityhealth.com)\\\n🌍 Learn more: \n\nLet’s make healthcare truly accessible.\n\n---", "url": "https://www.ycombinator.com/launches/MvX-vocality-health-ai-powered-medical-interpretation-for-hospitals", "votes": 76, "created_at": "2025-02-28T00:48:16.000Z" } ] }, { "id": 30204, "name": "Subtrace", "slug": "subtrace", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e806fda08a2985d5611237545c62cc046d58b489.png", "website": "https://subtrace.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Subtrace is a zero-code network tracer. It's like having an inspect element button for your whole infra: when you start a process with Subtrace, you'll see every HTTP request coming in and going out in realtime. Under the hood, it uses BPF to make this possible without any root privileges or code changes. We have ~2.5k stars on Github.", "one_liner": "Zero code network tracer", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1733176117, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 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/subtrace", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/subtrace.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/subtrace", "x_url": "https://x.com/subtrace_dev", "fb_url": null, "cb_url": null, "github_url": "https://github.com/subtrace/subtrace", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e806fda08a2985d5611237545c62cc046d58b489.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": 211631, "full_name": "Adhityaa Chandrasekar", "title": "Founder/CEO", "founder_bio": "Founder and CEO at Subtrace. Previously worked at Google as a software engineer on Kubernetes internals and GKE infra monitoring. University of Waterloo and IIT Madras alum.", "is_active": true, "linkedin_url": "https://linkedin.com/in/adtac", "x_url": "https://x.com/adtac_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/46bc290a8ecafa80c5345cc2018a122e43105d46.jpg" }, { "user_id": 1755130, "full_name": "Sachin Sridhar", "title": "Founder/CTO", "founder_bio": "Cofounder and CTO at Subtrace. Previously a software engineer at Microsoft, where I worked on Power BI/Microsoft Fabric. Studied computer science at IIT Madras.", "is_active": true, "linkedin_url": "https://linkedin.com/in/sachin-sridhar", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0873d91fe1d2045d4f4e18b0334e38c80c78dec1.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87493, "title": "Subtrace: Resolve production issues in minutes, not months", "tagline": "Get full visibility into every backend request", "body": "Hey, this is Adhityaa and Sachin 👋\n\nWe built Subtrace to give backend teams full visibility into every request—payload, latency, status, headers, logs—all in one place. YC companies like Trieve (W24) are already using Subtrace in production to improve their incident resolution time from months to minutes ([read their case study](https://subtrace.dev/customers/trieve)).\n\n# **Problem**\n\nToday's backend monitoring tools like Sentry and OpenTelemetry leave out the most crucial details of each request, forcing backend developers to search through logs to root cause issues.\n\n# **Solution**\n\nSubtrace brings every backend request into one clear, Chrome DevTools-like interface so that you can resolve issues fast—often before your first coffee. Here's how it works:\n\n**🔍 Search & Filter**\n\n![uploaded image](/media/?type=post&id=87493&key=user_uploads/211631/0efb0809-659a-415b-bd9b-7bc7b36c5f89)\n\n_Quickly search for the requests that matter using simple filters_\n\n**🔦 Inspect & Analyze**\n\n![uploaded image](/media/?type=post&id=87493&key=user_uploads/211631/741d090f-6392-4c95-9a2e-594d48148e3d)\n\n_Click any request to view full details like payload, headers, latency_\n\n**🎥 Record & Replay**\n\n![uploaded image](/media/?type=post&id=87493&key=user_uploads/211631/d740c6c4-d4ad-4390-948d-ac780ee8dbc2)\n\n_Reproduce issues easily by replaying prod requests elsewhere_\n\n**💬 Share & Collaborate**\n\n![uploaded image](/media/?type=post&id=87493&key=user_uploads/211631/7698ee18-733b-4601-b7b7-5a4e9425148d)\n\n_Share detailed snippets with your team to solve issues together_\n\nYou can get Subtrace working with just a single command.\n\nTry for yourself: [**Docs →**](https://docs.subtrace.dev)\n\n# **Team**\n\nWe met 10+ years ago as undergrads and we've been great friends ever since. Adhityaa went to **IIT Madras**, the **University of Waterloo** and worked at **Google**. Sachin went to **IIT Madras** and worked at **Microsoft**.\n\n![uploaded image](/media/?type=post&id=87493&key=user_uploads/211631/d6577599-ad96-407e-9745-be38eacb5975)\n\n![uploaded image](/media/?type=post&id=87493&key=user_uploads/211631/c7ce8553-c0bb-4a26-9f3a-1625ad6a98f0)\n\n\n# **Ask**\n\nAre you a backend / full stack developer? Do you run an engineering team?\n\nYC companies are already using Subtrace today, we think you'll love it.\n\nEmail [founders@subtrace.dev](mailto:founders@subtrace.dev) (or [submit this form](https://form.typeform.com/to/JoVcpdrn)) and we'll show you a demo!", "url": "https://www.ycombinator.com/launches/MlB-subtrace-resolve-production-issues-in-minutes-not-months", "votes": 42, "created_at": "2025-02-07T07:42:14.178Z" } ] }, { "id": 30205, "name": "Scout", "slug": "scout-4", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e9b6cad93f23ac155f617f2d95c1556389ee69e1.png", "website": "https://scoutforschools.com/", "all_locations": "New York City, NY, USA", "long_description": "The student information system (SIS) is the core system of record in every K-12 school. It tracks students, attendance, grades, schedules, staff, and more - kind of like the ERP for schools.\r\n\r\nLegacy SIS providers do just about that, and not much more. School districts layer dozens of tools on top of their SIS to fill in the gaps.\r\n\r\nScout is an AI-powered student information system that automates school- and district-wide busywork, from day-to-day operations like attendance tracking to annual compliance reports. Our mission is to help school districts run like high-performing organizations, enabling them to provide high-quality, personalized instruction to every student.", "one_liner": "AI-powered student information system for K-12 schools", "team_size": 8, "industry": "Education", "subindustry": "Education", "launched_at": 1737960750, "tags": [ "Education", "Workflow Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Education" ], "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/scout-4", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/scout-4.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/scout-edu", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e9b6cad93f23ac155f617f2d95c1556389ee69e1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/b59665cd30e487b8a4a97f4a7218381859d120bc.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1495921, "full_name": "Noah Fichter", "title": "Founder/CEO", "founder_bio": "Building the next generation of digital infrastructure for America's schools", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/noah-p-fichter/", "x_url": "https://x.com/foahnichter", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2801d7de018835906ceeea4645ea03bc7ff7cb65.jpg" }, { "user_id": 502779, "full_name": "Max Bertfield", "title": "Founder/CTO", "founder_bio": "Building software for educators", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/maxbertfield/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ddb9eb905c7decae4e64d6d91e6a3f8afac5c28f.jpg" } ], "jobs": [ { "id": 99645, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/scout-4/jobs/bPZHexz-software-engineer", "location": "New York City, NY", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 99646, "title": "Customer Success Manager", "url": "https://www.ycombinator.com/companies/scout-4/jobs/5XFiwpv-customer-success-manager", "location": "New York City, NY", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$75K - $150K", "equity_range": "0.10% - 0.25%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 87832, "title": "Scout 🐙 The AI-powered student information system that schools actually enjoy using", "tagline": "We automate schools' back-office compliance tasks, enabling them to function as high-performing organizations", "body": "**TL;DR:**\n\nThe core system of record in education -- the student information system (SIS) -- is broken. Schools run all of their software on top of it, but most teachers and administrators avoid using their SIS as much as possible. Traditionally, the SIS has been a database with a UI, but we believe that the SIS of the future will be providing “compliance-as-a-service”, handling every administrative task schools have to deal with, so educators at every level can focus on optimizing instruction.\n\n[Demo](https://www.loom.com/share/584f0389606f4b88841efcce59df740c?sid=9e5b78bd-fc67-4341-a299-7d86bb699c16)\n\n**Automated Compliance 💫**\n\nBy law, schools have to collect and report mountains of data. It takes large teams of people a ton of time to ingest, validate, audit, and report data to the government. They develop their own manual pipelines to try to improve these processes, but there’s no unified pipeline, and it often involves several rounds of manual auditing to make sure the data is accurate.\n\nEven with all of these redundant checks, these are manual processes, and schools make mistakes. When the annual audit comes around, schools lose funding for every mistake - and it can come out to hundreds of thousands of dollars in losses.\n\nScout automates the entire school compliance pipeline, from data ingestion to internal audits to government reporting. Our AI agents use drip campaigns to remind parents and students to submit documents, we continuously monitor all data for compliance throughout the school year, and Scout’s end-to-end reporting features compress reporting from a month-long process to something that can be done in a few hours.\n\n**AI-powered outreach**\n\nOne of the biggest time-sinks in compliance is that teachers need to constantly reach out to families for data and documents, track submissions in spreadsheets, continue to follow-up until everything’s been submitted, and then manually validate each document, starting the whole cycle again if something’s invalid. We’ve heard some teachers refer to themselves as “professional nags”.\n\nOther industries that are outreach-heavy have already solved this problem. For example, HubSpot has solved this for sales by automating follow-ups until prospects respond.\n\nScout treats each student like a customer in a CRM: students moves through a variety of funnels, from annual tasks like enrollment and re-enrollment to daily tasks like tracking attendance or engagement with online curriculum providers. Scout’s built-in drip campaigns make sure students and parents complete tasks without teacher or administrator involvement, only flagging the students who need attention and removing the burden on schools to manually track all of these funnels.\n\nScout’s AI agents automatically reach out to parents and students via phone, email, text, and the Scout mobile app to get them to fill out forms, upload documents, mark excused absences, and more.\n\n![uploaded image](/media/?type=post&id=87832&key=user_uploads/1495921/093d586b-f015-49f7-8bae-ef39d01de1ce)\n\nRight now, schools put multiple levels of compliance checks in place to make sure that submitted documents are valid. To reduce the number of humans that need to check over each document, Scout proactively scans every document for compliance on ingestion, highlighting exactly what’s wrong and how to fix it. With Scout, schools reduce the possibility for human errors while avoiding the back and forth that comes with invalid documentation.\n\n![uploaded image](/media/?type=post&id=87832&key=user_uploads/1495921/4b705cad-b848-44fb-bf55-4d6530b68add)\n\n**24/7 internal audits**\n\nThroughout the course of the school year, Scout monitors every dimension of compliance, highlighting only the items that need attention. With Scout, schools can shift their mental model from checking every single document and database row for compliance to only looking at the ones that are out of compliance - saving as much as 95% of the time they spend on compliance tasks.\n\n![uploaded image](/media/?type=post&id=87832&key=user_uploads/1495921/1b4e76e6-86cd-49fe-943b-64a4f0f655c4)\n\n**End-to-end government reporting**\n\nThroughout the school year, California schools need to report information to a number of state and federal bodies, including the California Department of Education (via a number of systems like CALPADS, PADC, and ConApp), and the federal Department of Education’s Office of Civil Rights. These reports often take weeks to compile, because data errors aren’t discovered until submission, and understanding exactly what’s wrong and how to fix it is an extremely time-consuming process. Current SIS providers don’t report directly to the state, so schools are exporting CSVs, and their edits aren’t reflected in the SIS.\n\nScout manages the reporting process end-to-end with proactive error discovery, a step-by-step error resolution flow, and automated submission without leaving the page.\n\n![uploaded image](/media/?type=post&id=87832&key=user_uploads/1495921/344b8853-ec8c-451d-84c0-6e95c6ee5cc4)\n\n# **Our team** 🤼\n\nNoah (CEO)\n\n* coding since 12 years old, started his first company at 17 selling licenses to a sneaker bot (500K ARR)\n* first engineer at Slash (S21), where he worked for 3 years, bringing dozens of products and features from zero to one\n* degrees from UMD in CS and education policy\n\nMax (CTO)\n\n* coding since 13 years old, early eng at a number of startups\n* led a product/engineering team at TodayTix for 4 years\n* CS degree from UCL\n\nWe met on the first day of high school in 2013, and we’ve been best friends ever since, hacking on side projects like sneaker bots throughout high school and college.\n\n![uploaded image](/media/?type=post&id=87832&key=user_uploads/1495921/88c7fa91-cb9b-4202-af7b-12f5b1f930cc)\n\n# **Our ask** 🙏\n\nIf you know anyone who works at a school district or charter school in California, particularly if they oversee compliance/reporting/other administrative tasks, please send them this post or connect us!\n\nIf you’d like to see a demo of Scout, send me an email at noah@teachwithscout.com. Thanks!", "url": "https://www.ycombinator.com/launches/Mqe-scout-the-ai-powered-student-information-system-that-schools-actually-enjoy-using", "votes": 31, "created_at": "2025-02-19T21:09:18.432Z" } ] }, { "id": 30207, "name": "Promptless", "slug": "promptless", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3b841846a6a116e07034a08b5b57b9bfb7b3d183.png", "website": "https://promptless.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Docs are integral to a great customer experience, but managing them is a challenging, multi-team effort. The most successful companies recognize that fantastic docs drive adoption and bad ones cause customers to churn. Promptless is used by fast-growing startups and Fortune 500 enterprises alike to automatically update docs based on feature releases, support tickets, internal Slack conversations, and more.\r\n\r\nPromptless is designed to be flexible—it can integrate with any docs platform, be triggered automatically from many workflows, and can pull in context from any internal knowledge source.\r\n\r\nWith Promptless, documentation becomes a strategic advantage for growth, not a bottleneck or a liability. ", "one_liner": "An AI teammate that automatically updates your customer-facing docs", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1734445501, "tags": [ "Developer Tools", "Generative AI", "SaaS", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "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/promptless", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/promptless.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/promptless", "x_url": "https://x.com/promptlessai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3b841846a6a116e07034a08b5b57b9bfb7b3d183.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": 729272, "full_name": "Prithvi Ramakrishnan", "title": "Founder", "founder_bio": "Prithvi co-founded Promptless.\n\nBefore Promptless, he served as VP of Product & Engineering at Bond, a fintech infrastructure startup acquired by NYSE:FIS in 2023. There he saw firsthand the effort required to maintain hundreds of tutorials and guides and the outsized business impact of world-class documentation.\n\nPrithvi graduated from Stanford in 2015 (B.S. CS, AI track). He was also a 4-time International Mathematical Olympiad (IMO) participant, including as the youngest participant in 2008.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/prithvi-r", "x_url": "https://x.com/prithviramak", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ef6c25924a3161ded0b11ea43e92f9c28d8ff842.jpg" }, { "user_id": 609516, "full_name": "Frances Liu", "title": "Founder", "founder_bio": "Frances is building Promptless, helping companies keep customer-facing content up-to-date. Prior to Promptless, Frances led product, ML/AI engineering, and LLM ops on petabyte scale at Cloudflare, OneSignal, and Graft. Yale undergrad. Stanford PhD drop-out. Has published LLM research.\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/frances-liu-1a426057", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9db137d9786ef251cc147edf1476c4d310d567f3.jpg" } ], "jobs": [ { "id": 85109, "title": "Founding Engineer (All Levels)", "url": "https://www.ycombinator.com/companies/promptless/jobs/FdJSR55-founding-engineer-all-levels", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $200K", "equity_range": "0.40% - 2.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 87446, "title": "Promptless: An AI teammate that automatically updates your customer-facing docs", "tagline": "Promptless proactively drafts updates to your docs while you ship software and support customers", "body": "Hello! We’re Frances and Prithvi, founders of Promptless. \n\n# tl;dr\n\nDocs are integral to a great customer experience, but managing them is a challenging, multi-team effort. The most successful companies recognize that fantastic docs drive adoption and bad ones cause customers to churn. Promptless is already used by fast-growing startups and Fortune 500 enterprises alike to automatically update docs based on feature releases, support tickets, internal Slack conversations, and more. [Get started today](http://gopromptless.ai)! \n\n\n\n# The Promptless Approach\n\n**Promptless drafts updates proactively for easy review**\n\n* Our AI agents monitor your software changes for when a documentation update might be needed, and can be triggered from a Slack conversation in one click. No prompt engineering required—hence the name _“Promptless”_.\n\n**Promptless lives where you work and can be triggered anywhere**\n\n* Instead of forcing you into yet another platform, Promptless integrates into your Slack channels, Github repos, Notion databases, Jira/Linear issues, Zendesk/Intercom tickets, and CMS platform.\n\n**Promptless-written docs are designed to maximize value to your customers**\n\n* Promptless is designed to prioritize accuracy, simplicity, and discoverability—ensuring that your customers can be onboarded quickly and can self-support without reaching out to your team.\n\n **Promptless is built for all kinds of customer docs**\n\n* Whether your docs are product tutorials, help-center articles, or developer guides, Promptless can handle it, and infers the style and structure of your documentation by reading your entire docs site.\n\n![uploaded image](/media/?type=post&id=87446&key=user_uploads/729272/8196d287-25b1-4175-877b-92f03d41cf74)\n\n# How Customers Use Promptless Today\n\nPromptless is designed to be flexible—it can integrate with any docs platform, be triggered automatically from many workflows, and can pull in context from any internal knowledge source. Just a few examples: \n\n[Vellum](http://vellum.ai) (YC W23) has tons of Slack Connect channels with their key customers—they use Promptless to automatically trigger doc updates whenever their team answers a customer question that should be covered in their public guides. \n\n[Clay](https://clay.com/) (breakout prospecting super tool) has a product team that publishes biweekly changelogs and a content team that manages their guides—they use Promptless to automatically bridge that gap and draft new and updated guides whenever there’s a product update.\n\nA Fortune 500 company has full-time technical writers, but the context surrounding every change is spread across Linear, Confluence, and Slack–Promptless automatically assembles the relevant context and drafts doc updates for every PR, making every technical writer twice as productive. \n\n![uploaded image](/media/?type=post&id=87446&key=user_uploads/729272/0a2388b3-a021-423b-80ba-3dc4d94a23f5)\n\n# Our Team and Expertise\n\nFrances and Prithvi have both run teams where great docs were a critical part of the customer experience. At OneSignal (YC S11) where Frances was Head of Data Science, she saw that docs engagement within the first 24 hours was directly tied to the biggest predictors of customers' lifetime value. At Bond (acquired by NYSE:FIS) where Prithvi was VP of Product and Engineering, he saw the challenging, multi-team effort that it took to maintain great customer docs, and wrote many of the guides himself. \n\n# Try it out!\n\nIf your team wants to spend less time maintaining docs and more time building great product and serving customers, email us at [founders@gopromptless.ai](mailto:founders@gopromptless.ai) or book some time on our calendar [booking link.](http://cal.com/team/promptless/15m-discovery-call)\n\n![uploaded image](/media/?type=post&id=87446&key=user_uploads/729272/c0ad621e-2366-4b3a-9c6c-e460fd1634b1)\n\n", "url": "https://www.ycombinator.com/launches/MkQ-promptless-an-ai-teammate-that-automatically-updates-your-customer-facing-docs", "votes": 106, "created_at": "2025-02-05T18:56:49.595Z" } ] }, { "id": 30209, "name": "Closure", "slug": "closure", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c5b9a8ffa191d64a12f160ab46ed4cf4f2dd85dc.png", "website": "https://closure-intel.com/", "all_locations": "New York City, NY, USA", "long_description": "Closure turns evidence overload into cases closed, with the most trusted AI agents in law enforcement.", "one_liner": "We help law enforcement solve crime", "team_size": 11, "industry": "Government", "subindustry": "Government", "launched_at": 1739862740, "tags": [ "GovTech", "LegalTech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Government" ], "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/closure", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/closure.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/closure-intel", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c5b9a8ffa191d64a12f160ab46ed4cf4f2dd85dc.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": 2105711, "full_name": "Aaron Zelinger", "title": "Founder/CEO", "founder_bio": "Helping law enforcement solve crime @Closure with @GiladLevy. \n\nTakes helping government seriously; takes himself not so seriously.\n\nPreviously: 2 yrs @Arena, 6 yrs @Palantir (#savetheshire), #GoCard\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aaron-zelinger/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f8092356722702dd3eb6696d27cf9595e054eac0.jpg" }, { "user_id": 2370244, "full_name": "Gilad Levy", "title": "Founder/CTO", "founder_bio": "Building the platform for closing cases faster.\n6 yrs Israeli Air Force (pilot & cyber security), 1 yr Spot.io (acquired by NetApp), 3 yrs Microsoft, 3 yrs Rivery (acquired by Boomi), MSc CS (Reichman), MBA (Tel Aviv)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gilad-levy/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b74188d6b59f4b55a85c600c6095146bfb30fb4a.jpg" } ], "jobs": [ { "id": 78900, "title": "Founding FDE", "url": "https://www.ycombinator.com/companies/closure/jobs/4gxpOAW-founding-fde", "location": "New York, NY, US / Remote (San Francisco, CA, US; New York, NY, US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$135K - $215K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 78903, "title": "Founding AI Engineer", "url": "https://www.ycombinator.com/companies/closure/jobs/igy1QFY-founding-ai-engineer", "location": "New York, NY, US / Remote (San Francisco, CA, US; New York, NY, US; IL)", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$135K - $230K", "equity_range": "0.20% - 1.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 95978, "title": "Founding Deployment Strategist", "url": "https://www.ycombinator.com/companies/closure/jobs/YVNigGW-founding-deployment-strategist", "location": "New York, NY, US / San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$130 - $195", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 95980, "title": "Member of Technical Staff", "url": "https://www.ycombinator.com/companies/closure/jobs/xUmCr0b-member-of-technical-staff", "location": "New York, NY, US / San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$135 - $215", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 96050, "title": "Deployment Strategist", "url": "https://www.ycombinator.com/companies/closure/jobs/B1C4Yxd-deployment-strategist", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$130 - $195", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 96051, "title": "Founding Deployment Strategist", "url": "https://www.ycombinator.com/companies/closure/jobs/l20GZs2-founding-deployment-strategist", "location": "New York, NY, US / San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$130 - $195", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 96759, "title": "Founding Business Development / Account Executive", "url": "https://www.ycombinator.com/companies/closure/jobs/Nr5nJRn-founding-business-development-account-executive", "location": "New York, NY, US / San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$50K - $1M", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "A Case for Conversation", "url": "https://www.youtube.com/watch?v=ftvpskIDkXo&t=1371s", "date": "Jun 29, 2026" }, { "title": "Can AI Solve Cold Cases? California Investigators Think It Could Help | Comstock's magazine", "url": "https://www.comstocksmag.com/longreads/can-ai-solve-cold-cases-california-investigators-think-it-could-help", "date": "May 03, 2026" }, { "title": "A SLO County police department and the DA’s Office navigate the first stages of AI - New Times San Luis Obispo", "url": "https://www.newtimesslo.com/a-slo-county-police-department-and-the-das-office-navigate-the-first-stages-of-ai/", "date": "Nov 13, 2025" }, { "title": "Can AI help solve the mystery of how an Anchorage 18-year-old died?", "url": "https://www.alaskasnewssource.com/2025/09/25/can-ai-help-solve-murder-an-anchorage-18-year-old/", "date": "Sep 24, 2025" }, { "title": "Companies to Watch: GovTech — Tech:NYC Blog", "url": "https://www.blog.technyc.org/news/companies-to-watch-govtech", "date": "Jan 22, 2025" } ], "launches": [] }, { "id": 30210, "name": "Conntour", "slug": "conntour", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c972b0925a72b8923c709c1b48733059aafb73d3.png", "website": "https://www.conntour.com/", "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel", "long_description": "Conntour enables government agencies to query their video - from security cameras, body cams, and drones.\r\n\r\nUsers can search past footage (“Find a man with tattoos on his left arm”), configure real-time alerts (“Notify me if someone climbs over the wall”), and extract data (“How many pickup trucks entered yesterday?”).\r\n\r\nUnlike traditional video analytics solutions, which are limited to fixed parameters (like a weapon, bag, or car color), Conntour supports an unlimited range of highly specific scenarios described in plain language. This enables a single human to monitor thousands of cameras, or find a specific moment in minutes instead of days.\r\n\r\nWhat makes Conntour's technology unique is its ability to process video using natural language at scale, fully on-premises, with minimal hardware requirements. The system is deployed with mission-critical teams at leading intelligence and homeland security agencies.\r\n\r\nConntour is backed by top-tier investors including General Catalyst and Y Combinator, was selected for the first-ever Palantir Fellowship, and has the former CTO of the CIA on its advisory board.", "one_liner": "Query mission-critical video", "team_size": 20, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1738284252, "tags": [ "Computer Vision", "Defense", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Industrials", "Defense" ], "regions": [ "Israel", "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/conntour", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/conntour.json", "year_founded": 2024, "city": "Tel Aviv-Yafo", "country": "IL", "linkedin_url": "https://www.linkedin.com/company/conntour/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c972b0925a72b8923c709c1b48733059aafb73d3.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": 1375912, "full_name": "Matan Goldner", "title": "Founder/CEO", "founder_bio": "I’m the co-founder and CEO of Conntour.\n\nI worked with security cameras for years, leading video surveillance in the Israeli military. I also led surveillance at a private security company - where I worked with most of the existing video analytics solutions.\n\nIn those roles, I used most of the existing solutions and experienced a major need that had no real solution. That experience also helped me build strong connections with global leaders in our industry.", "is_active": true, "linkedin_url": "https://linkedin.com/in/matan-goldner", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/974f6c497f392e466ec1107b5a3e6aa9decbdb9c.jpg" }, { "user_id": 405332, "full_name": "Tomer Kulla", "title": "Founder/CTO", "founder_bio": "Co-Founder and CTO at Conntour, with a BSc in Computer Science focused on computer vision. \nPreviously, I founded and sold Nilus, where I worked on eCommerce ad-tech and recommendation engines (ML). \nMy career spans both hands-on experience—particularly in web, MLOps, and big data—and leadership roles, including managing teams and as a Director of Engineering managing goup of 3 teams.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tomer-kulla/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4507b1091a9e2181ef456272045e50b99403d0f3.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87340, "title": "Conntour: Ask Security Cameras Anything", "tagline": "Search and monitor thousands of video feeds with simple text queries", "body": "**TL;DR**: **Conntour lets governments and corporates query their security cameras.**\n\nUsers can search past footage (“Find a man with a blue backpack”), set alerts (“Notify me if someone climbs over the wall”), and extract data (“How many vehicles entered yesterday?”).\n\nIn just a few months, Conntour secured the Singapore government as a paying customer.\n\nhttps://www.tella.tv/video/cm6k221g4000f0bl1csynd0p1/view\n\n# **Who we’re building it for:**\n\nConntour targets organizations with thousands of security cameras. That includes governments (military, police, intelligence) and businesses (corporates, retail, industrial companies). These teams can’t manage so many cameras and it leads to huge losses - money, legal violations, and even human lives.\n\n# **The Problem with existing solutions:**\n\nThey offer low customization, as they’re limited to pre-defined parameters (like shirt color or license plate number). This **lack of flexibility** causes missed critical events, too many false alarms, and countless hours wasted on manual footage review. Conntour solves this by offering **unlimited flexibility** through natural language queries - just ask anything.\n\n# **Team:**\n\nMatan (CEO) led a military video surveillance unit - leveraging security cameras to save lives. Tomer (CTO) is a second-time founder and former director of engineering.\n\nWe’ve known each other for 13 years, first meeting in the special forces during our mandatory military service. Since then, we’ve studied together and tackled many challenges side by side.\n\n![uploaded image](/media/?type=post&id=87340&key=user_uploads/1375912/ab328256-e7c8-44fe-a9c0-ee0427cfab0d)\n\nWe’d be happy to hear from you at: [matan@conntour.com](mailto:matan@conntour.com)", "url": "https://www.ycombinator.com/launches/Mii-conntour-ask-security-cameras-anything", "votes": 24, "created_at": "2025-01-31T21:45:31.892Z" } ] }, { "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": 30213, "name": "Dexto", "slug": "dexto", "former_names": [ "Truffle AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/151976ce07fb22bf59209dda8531a283a9eeda58.png", "website": "https://www.dexto.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Dexto makes it easy for developers to integrate AI agents into any software application. We do this by exposing agents as simple APIs that can be called from anywhere. Developers have used Dexto to add customer support agents into WhatsApp and analytics agents into Slack.", "one_liner": "AWS for AI Agents", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1740509470, "tags": [ "Developer Tools", "Generative AI", "Infrastructure", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/dexto", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/dexto.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/dexto", "x_url": "https://x.com/dexto_ai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/truffle-ai/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/151976ce07fb22bf59209dda8531a283a9eeda58.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": 1684384, "full_name": "Shaunak Srivastava", "title": "Founder/CEO", "founder_bio": "Co-founder. \nPrev. GenAI & 3D Research@CMU | Published at NeurIPS 2022, WACV '23 (in collaboration with Meta).\nBuilt AI products for face recognition and health estimation at Hyperverge. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shaunak-srivastava-244567163/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/258124ca26936b290fdca6cc846cfacb79c9ed9e.jpg" }, { "user_id": 2369842, "full_name": "Rahul Karajgikar", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO at Truffle AI - building developer tools for AI agents\nFormer engineer at AWS OpenSearch. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rahul-karajgikar", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/77e603d364e1917893bf77902db6eb2fe62e6c07.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 88053, "title": "Truffle AI - AI Agents that work in any Software Application", "tagline": "Integrate AI Agents with simple APIs, seamlessly", "body": "Hey YC!\n\nWe’re Shaunak and Rahul and we are making it easy for developers to **integrate AI Agents into any software application**. We do this by making agents available as simple APIs that can be called from anywhere. Developers have used Truffle to add customer support agents into WhatsApp and integrate analytics agents into Slack. Check out our demo below 👇\n\n\n\n### **The Problem**\n\nWhile AI models have become more accessible, getting AI agents to production remains painfully complex. Developers don’t just need a model—they need to handle:\n\n* Managing state, memory, and vector databases\n* Manually integrating external tools and APIs\n* Customizing agents for specific business logic\n* Setting up and maintaining deployment infrastructure\n\nDespite existing frameworks, **developers still spend 60% of their time on \"glue code\" instead of building actual AI solutions**. Companies burn **$100K–$200K per year** on DevOps overhead, just to manage AI agent infrastructure. AI should be easier to integrate than this.\n\n### **The Solution**\n\nTruffle AI eliminates infrastructure headaches by turning AI agents into plug-and-play APIs:\n\n* **No infrastructure setup** - Our managed service handles the heavy lifting, eliminating deployment and scaling concerns\n* **Seamless integration** - Add AI agents to any application with just a few lines of code\n* **Full customization** - Build agents tailored to your specific business challenges\n* **Reusability** - Deploy the same agents across multiple applications\n\nMost AI adoption today is being held back by engineering complexity—Truffle AI removes that bottleneck, making AI agents as simple to integrate as calling an API.\n\n### **Our Story**\n\n![uploaded image](/media/?type=post&id=88053&key=user_uploads/1684384/164d65b8-6f92-4bc5-809d-a82b0c99c029)\n\nAs developers, we both hit the same frustrating wall: spending countless hours writing \"glue code\" for infrastructure instead of building innovative AI solutions.\n\nWhile exploring several frameworks to build AI agents, we discovered a critical gap - none addressed the massive infrastructure overhead required for production-ready AI systems.\n\nWith Rahul's expertise in large-scale deployment and cluster management at AWS and Shaunak's background in AI research and product development, we realized we were uniquely positioned to solve this problem.\n\nOur mission became clear: make powerful AI accessible to businesses of all sizes by eliminating the infrastructure barriers that slow innovation.\n\n### **Who Is This For?**\n\n👩‍💻 **Software developers** who want to add AI capabilities without becoming infrastructure experts\\\n🏢 **Startups and enterprises** looking to quickly deploy AI solutions without hiring specialized DevOps teams\\\n🔧 **AI engineers** who want to focus on agent design rather than deployment pipelines\\\n🛠️ **Product teams** who need to iterate rapidly on AI features without getting bogged down in infrastructure\n\n# \n\n### 🌎 **What Can You Build?**\n\nWith Truffle AI, developers have already built:\n\n💬 Customer support agents that automate WhatsApp & Slack interactions\n\n📊 Analytics agents that fetch and analyze data from spreadsheets\n\n🤖 Multi-agent workflows that coordinate different AI tasks seamlessly\n\n### **Get Started**\n\n**Looking to integrate AI Agents into your organization?** Truffle AI can help!\n\n* [Schedule a demo](https://calendly.com/shaunak-trytruffle/30min) with us!\n* [Try it out](https://www.trytruffle.ai/) yourself on our platform!\n* Want to dive into the code? Check out our [docs](https://docs.trytruffle.ai/introduction)!", "url": "https://www.ycombinator.com/launches/MuD-truffle-ai-ai-agents-that-work-in-any-software-application", "votes": 24, "created_at": "2025-02-26T15:01:48.086Z" } ] }, { "id": 30214, "name": "Ovlo", "slug": "ovlo", "former_names": [ "Melly AI", "Ovlo", "Serno" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/132baabab2c2dd101f928b6f61adc1d4173a6ca6.png", "website": "https://ovlo.ai", "all_locations": "Dubai, Dubai, United Arab Emirates", "long_description": "Founder led hiring for London startups\r\n", "one_liner": "Founder led hiring for London startups", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Recruiting and Talent", "launched_at": 1740586280, "tags": [ "SaaS", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Recruiting and Talent" ], "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/ovlo", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/ovlo.json", "year_founded": 2025, "city": "Dubai", "country": "AE", "linkedin_url": "https://www.linkedin.com/company/ovloai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/132baabab2c2dd101f928b6f61adc1d4173a6ca6.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": 2199835, "full_name": "Andrew Malouf", "title": "Founder/CEO", "founder_bio": "Co-founder of Ovlo", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/agmalouf/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1345c385d416b01ae8aaf208054343a1b90db87c.jpg" }, { "user_id": 1545340, "full_name": "Amer Eid", "title": "Founder/CTO", "founder_bio": "Co-founder of Ovlo, constantly building. Previously, Staff Software Engineer at Meta, contributing to WhatsApp for iOS, and Google, enhancing Fitbit’s health and wellness features. Led the development of MENA’s #1 music streaming app, serving millions. Passionate about building impactful, user-focused experiences.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/amer-eid92/", "x_url": "https://x.com/amereidxyz", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/862798c92dcc34505695f1e131f211bfedbb5e9e.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30215, "name": "Contrario", "slug": "contrario", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4d87aacd192132e2914478f159180c7f82caa8ec.png", "website": "https://contrario.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Contrario is an AI recruiting and hiring platform on a mission to help companies build generational teams.\r\n\r\nIn the age of AI, the best teams are still built by the best people. Recruiting has become a zero-sum game where speed and quality decide who wins.\r\n\r\nContrario is a network of expert recruiters supercharged by vertical AI agents purpose-built for hiring. Teams at Wispr Flow, Listen Labs, Slash, and 200+ of the fastest-growing companies use Contrario to power their hiring.\r\n\r\nIn under six months, Contrario has crossed $6M in annualized revenue, paid out $1M+ to recruiters, and placed 150+ candidates — making it one of the fastest-growing AI recruiting platforms on the market.\r\n\r\nBacked by Y Combinator, Nexus Venture Partners, Goodwater Capital, and Inventum Ventures, alongside angels including David Chen (ex-HRT), Abhijeet Dwivedi (OpenAI), Hank Couture (DoorDash), and Jerry Cain (Stanford CS). Built by Stanford dropouts. Headquartered in San Francisco.", "one_liner": "AI hiring platform powered by expert recruiters", "team_size": 20, "industry": "B2B", "subindustry": "B2B -> Recruiting and Talent", "launched_at": 1740035301, "tags": [ "SaaS", "Recruiting", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Recruiting and Talent" ], "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/contrario", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/contrario.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/contrario-ai", "x_url": "https://x.com/ContrarioAI", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/contrario", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4d87aacd192132e2914478f159180c7f82caa8ec.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": 2304578, "full_name": "Arya Marwaha", "title": "Founder/CEO", "founder_bio": "Founder & CEO at Contrario. Stanford BS (left MS early). Previously built an edtech startup to six-figure ARR, worked in product dev at BCG, and conducted research at Stanford HCI.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/arya-marwaha/", "x_url": "https://x.com/arya_marwaha", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7f1544c0d77d588f11cf3a10a47409e2a8b8c150.jpg" }, { "user_id": 1665251, "full_name": "Aditya Sood", "title": "Founder/CTO", "founder_bio": "Founder & CTO at Contrario. Stanford BS graduate, Masters dropout. Led NLP at NASA, published AI research in defense tech, researcher at Stanford Artificial Intelligence Laboratory (SAIL) x Anthropic lab.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adibsood/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f7d874fb17296889f839a9b1f6bbb69b9f68bae5.jpg" } ], "jobs": [ { "id": 105471, "title": "BizOps", "url": "https://www.ycombinator.com/companies/contrario/jobs/QExVgmb-bizops", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $130K", "equity_range": "0.10% - 0.30%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 88187, "title": "Contrario: The 1st AI-powered Recruiting Network", "tagline": "Contrario is the best way for startups to fill critical roles", "body": "Hey everyone 👋\n\nWe’re Arya and Aditya – co-founders of Contrario.\n\n**TL;DR:** Contrario is the AI-powered recruiter network trusted by startups for hiring. Over 2,500+ engineers and 15+ companies are using Contrario to get jobs and fill roles.\n\n**_Ask:_** Can you refer talented startup recruiters in your network to join Contrario’s platform? Also, if you’re looking for exceptional talent to hire across GTM or engineering, you can reach out to me at [arya@contrario.ai](mailto:arya@contrario.ai).\n\nhttps://www.youtube.com/watch?v=xGu7fBLud48 \n\n**❌ The Problem**\n\nRecruiting is one of the largest and most influential industries in the world, worth over $2T and employing 60M+ workers per year.\n\nYet, today’s recruiting market still follows outdated, manual processes from 20+ years ago – leaving candidates stuck with a poor job search experience. There are three major pain points: \n\n1. Endless job applications with zero transparency\n2. Low recruiter response rates leaving applicants in the dark\n3. Failing behavioral screens with recruiters\n\nThese challenges compound over time, widening a critical gap in the recruiting market.\n\nUntil now, people relied on referrals and network connections to have a better chance at getting more interviews. But with advancements in AI, this is finally changing … \n\n**✅ Our Solution**\n\nAt Contrario, we’re a team of former candidates, recruiters, and AI experts using the latest technology to build the best candidate experience possible.\n\nCompanies can import their job from an ATS or upload their info, and our system immediately:\n\n* Defines **top recruiters** to work on your role based on past expertise and placement history\n* Uses **proprietary AI models** to dynamically generate **talent scorecards** that capture their top skills.\n* Leverages inbuilt integrations with **ATS systems** like Ashby/Lever and Slack/Calendly for seamless management.\n\nWith Contrario, companies conduct an intake call + upload their most important info for a job, and we handle the rest.\n\n**🙏 Our Ask**\n\nIf you answer “yes” to any of these, we’d love your help:\n\n✅ Hiring GTM talent or engineering talent for your startup?\n\n✅ Know top startup recruiters or agencies looking for additional revenue extension opportunities?\n\n👉 Contact us at [arya@contrario.ai](mailto:arya@contrario.ai) \n\n👬 **The Team**\n\nContrario was founded by Stanford dropouts Arya Marwaha (CEO, ex-BCG, led product at 5+ startups) and Aditya Sood (CTO, ex-NASA NLP, published at Stanford AI Lab x Anthropic). \n\n\\\nThey met in their first-year dorm at Stanford and have been building together ever since. Their firsthand experience on both sides of the hiring industry—Aditya as a candidate, and Arya as a recruiter—drove them to build an automated solution that bridges the gap.\n\n![uploaded image](/media/?type=post&id=88187&key=user_uploads/2304578/6fd2cf72-0768-46e7-9633-8ed9fd682aba)\n\n![uploaded image](/media/?type=post&id=88187&key=user_uploads/2304578/63b480fd-ad1b-4f05-9120-9afb42cdb7ef)\n\n", "url": "https://www.ycombinator.com/launches/MwN-contrario-the-1st-ai-powered-recruiting-network", "votes": 764, "created_at": "2025-03-02T00:35:18.358Z" } ] }, { "id": 30216, "name": "Sublingual", "slug": "sublingual", "former_names": [ "Khipu" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c536945e04bdc8b405d2bb35c81631f9b7c3c738.png", "website": "https://sublingual.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Our desktop app helps teams stay focused on shipping.", "one_liner": "Daily productivity tracker", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1740613527, "tags": [ "Developer Tools", "Open Source", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Inactive", "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/sublingual", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/sublingual.json", "year_founded": null, "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/c536945e04bdc8b405d2bb35c81631f9b7c3c738.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": 2378452, "full_name": "Matthew Tang", "title": "Founder/CEO", "founder_bio": "recommendation systems, computer vision, deep learning theory", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/mhtang2/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a8999b6b3036091766eabf43e32d32bab7872005.jpg" }, { "user_id": 2000233, "full_name": "Dylan Bowman", "title": "Founder", "founder_bio": "Background: LLM research in defense contracting and deployment safety.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/dylan-bowman-68a56218b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/779188a524ab36421995729be2db856fc8c916c1.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 88096, "title": "Sublingual: LLM evals for lazy devs", "tagline": "Sublingual is an open-source LLM observability and evals platform that requires zero code changes to integrate. Instantly plug into a full suite of analysis tools with just one pip install—nothing else.", "body": "We've all done it: skipping evals, testing on vibes, and ripping it straight to prod. Integrating observability and evals can be a lot of work, which is why **Sublingual** gives you deep insights into how your LLMs perform without touching your code. It works across a wide range of environments, capturing extensive logs including LLM interactions, inputs, outputs, and server call data. Just pip install subl and you’re live.\n\n\n\n# **How we got here:**\n\nWe’ve spent years building and researching LLM applications, and we’ve seen firsthand how developers handle evaluation: sifting through logs, relying on intuition, and struggling with the friction of integrating existing observability tools when they just want to focus on building. Through conversations with numerous founders, we've learned that they're often too busy building to establish robust evaluation systems. So, they end up relying on a couple vibe tests before crossing their fingers and pushing to prod.\n\nThat’s why we built **Sublingual**—effortless LLM observability that works out of the box. No code changes, no distractions, just the insights you need to ship with confidence.\n\n# **Our approach:**\n\n* **Minimize onboarding overhead:** We’ve hacked away at the complexity of automating integration so you can start collecting insights instantly. Our design prioritizes minimal friction, ensuring observability works out of the box without interrupting your workflow.\n* **Minimize intrusiveness:** Disentangle logging and LLM serving logic to ensure logging server failures never impact LLM serving reliability. Sublingual is designed to be plugged in or removed without affecting any functionality of your code.\n* **Easy local hosting:** Our tool and stored logs are entirely local, so there’s no risk of data leakage.\n* **Code insights:** We use a mix of static and dynamic code analysis to deeply understand your program, extracting details that other platforms can’t like automatically finding prompt templates.\n\n# **Our ask:**\n\nTry it out right now, it will take less than a minute! If you don’t like it, just uninstall and your code will be exactly the same as before.\n\n⭐ Give our project a star 😊\n\n🧑‍💻 **GitHub:**  \n\n🔗 **Website:** \n\n![uploaded image](/media/?type=post&id=88096&key=user_uploads/2378452/c93b335e-b796-4b1d-92e8-db8367a16634)\n\n# **Our team:**\n\n![uploaded image](/media/?type=post&id=88096&key=user_uploads/2378452/8af49103-a15c-4959-b35d-d7aea830135f)\n\n[Dylan](https://www.linkedin.com/in/dylan-bowman-68a56218b/) (CTO): previously LLM research at UIUC Kang Lab and Dept. of Defense\n\n[Matthew](https://www.linkedin.com/in/mhtang2/) (CEO): previously TikTok ML on the recommendation algorithm and ads engine, LLM research for rec-sys at Nextdoor\n\nContact us:\n\n📧 founders@sublingual.ai", "url": "https://www.ycombinator.com/launches/Muu-sublingual-llm-evals-for-lazy-devs", "votes": 44, "created_at": "2025-02-27T01:56:08.363Z" } ] }, { "id": 30217, "name": "Rocketable", "slug": "rocketable", "former_names": [ "Ponti Capital" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bc12cf4638585675745dadeea5e4a62aec1543cb.png", "website": "https://www.rocketable.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Rocketable is building a large portfolio of wildly profitable software businesses by acquiring existing products and replacing human teams with AI agents.\r\n\r\nToday’s foundation models already possess enough intelligence to automate most of the tasks required to run a profitable software business. In the functions where agents aren’t yet intelligent enough to replace humans, they will be soon.\r\n\r\nWhen every human function required to operate a software product has an AI agent equivalent, the next step will be within reach: operating an entire company with a team of AI agents instead of humans.\r\n\r\nBut superintelligent agents within each function won’t be enough. To operate a software company with 0 human employees, the agents will need to be directed towards common goals, integrated to collaborate across functions, tuned with feedback loops connected to product metrics, and trained to make resource allocation decisions.\r\n\r\nWe are creating the tools needed to replace the entire org chart of a software company with a team of AI agents. We are developing these tools by owning the products that we automate, because we know from 10+ years of experience building automated systems with AI/ML that integration is the key to unlocking superhuman performance.", "one_liner": "The AI Maximalist Software Holding Company", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1737653057, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 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": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "I started Rocketable after acquiring a small B2C SaaS business and spending a year running it as a solo entrepreneur. I couldn’t afford to hire a team of humans to help operate the business, so I did every function in the business myself. It is not an exaggeration to say that I spent more time interacting with LLMs in that first year than I did with other humans." }, { "question": "What's the history of your company from getting started until the present day? What were the big inflection points?", "answer": "Operating a small software product let me live in a future that larger companies can’t yet experience - one where I can give the LLM full context for my business, rather than just a subset of that context that is curated by human editors, company policies, or identified by semantic indexing. I found that when all source code, knowledge base articles, blog posts, internal documentation, records of recent customer support issues, and results of recent NPS surveys can fit within the context window of a model, it unlocks entirely new, AI-native solutions to the common tasks that all software businesses face. I experienced this because my business was small enough to operate within the limits of today’s largest models, and discovered that building my own custom workflows on foundation models using this full context approach led to higher performance with lower effort compared to using enterprise AI tools that have raised hundreds of millions of dollars. This was the insight that led to Rocketable being a holding company rather than a traditional product company: when it comes to operating highly automated businesses, smaller is actually better! And this means that operating a large number of smaller software businesses profitably is now possible. This is an entirely different vector for scale than what we have traditionally seen in tech startups (which usually get bigger by growing a small number of products to very large usage). I believe the AI native future unlocks a different path: a very large number of smaller products, made to serve the needs of niche users much better than today's large, monolithic products will ever be able to do, operated efficiently through automation." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "I started working on this problem because I was disappointed by most AI products that I tried to use when operating the first business that I acquired. I wanted tools that would let me invest the effort required to reach full automation, and what I found were products that were forever stuck in co-copilot mode. After prototyping my own tools and achieving higher levels of performance with less effort, I decided to started Rocketable." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "The long term vision for Rocketable is to turn the task of running a software business into a reinforcement learning problem. As the cost of code & content creation decreases by 1000x, product development and marketing will become probabilistic processes (with many different variations of content and features tested in parallel).When AI workflow outputs are linked to financial metrics, data driven feedback loops will compound into superhuman performance.When workflow changes are deployed via pull request, winning strategies will be deployed instantly, everywhere. I believe this will create the conditions for the business version of the AlphaGo’s [Move 37](https://en.wikipedia.org/wiki/AlphaGo_versus_Lee_Sedol#Game_2): winning business strategies that only AI can discover." } ], "url": "https://www.ycombinator.com/companies/rocketable", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/rocketable.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/105609915/admin/dashboard/", "x_url": "https://x.com/RocketableInc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bc12cf4638585675745dadeea5e4a62aec1543cb.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/65245a0d94648c5fbeb78cb7b187d86f5423fce8.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/8beca2265ebce5953545c66df1458a70fe42ec12.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 34777, "full_name": "Alan Wells", "title": "Founder/CEO", "founder_bio": "Founder & CEO of Rocketable. Previously: 10+ years building products and leading teams that automated complex tasks with AI/ML: robotaxis at Cruise, self-driving trucks and ADAS systems at Uber, and an irrigation co-pilot product for farmers at Tule (YC S14). \n\nI write code, have a degree in design, and build hardware. Co-author on 5 patents related to systems & methods for automating complex tasks with AI.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/awells/", "x_url": "https://x.com/alanwells", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9261b52f6f68eaf93b072b217c243f51e3d225ed.jpg" } ], "jobs": [], "news": [ { "title": "The Takeoff Has Started", "url": "https://rocketable.substack.com/p/the-takeoff-has-started", "date": "Jul 01, 2025" } ], "launches": [ { "id": 87105, "title": "Rocketable 🚀 - The AI Maximalist Software Holding Company (W25)", "tagline": "We acquire software products and replace human teams with AI agents.", "body": "Hi all 👋 I’m [Alan](https://x.com/alanwells), founder of [Rocketable](https://www.rocketable.com/).\n\n# tl;dr\n\nI’m building a large portfolio of wildly profitable software businesses by acquiring existing products and replacing human teams with AI agents.\n\n\n\n# The longer version…\n\nI started Rocketable because I think that most of the world is still underestimating the potential of AI.\n\nEven in Silicon Valley, most people assume that humans will maintain a monopoly on the creativity and insights needed to operate a successful software product.\n\nI think that’s extremely unlikely.\n\nI believe the real opportunity lies in assuming there is no job in a software company that can’t be automated by AI, and building from there.\n\n### But why are you acquiring existing products?\n\nI believe acquiring existing products is the key to speedrunning the path to building a single person, billion dollar software company.\n\nBy acquiring existing software products that already have customers and revenue, I can focus most of my attention on the challenge of automating those businesses.\n\nBy owning the products that I automate, I can ignore the management fiefdoms, data silos, and corporate politics that prevent most companies from maximizing the upside of deploying AI in their business.\n\nBy buying increasingly larger businesses, I can force myself to climb the ladder of automation complexity faster than most individual businesses evolve organically.\n\n### So what are you building?\n\nAlthough it’s obvious to me that today’s foundation models already have the raw intelligence needed to do most of the jobs in a large software company, it’s equally obvious that the tools needed to fully replace the entire org chart of a software company with AI agents do not yet exist.\n\nIn addition to being competent within each function, to operate software products with 0 human employees, the agents will also need to be:\n\n* directed towards common goals\n* integrated to collaborate across functions\n* tuned with feedback loops connected to product metrics\n* trained to make resource allocation decisions\n\nRocketable needs to build the software that enables all of those things to happen. Building the automation system while also owning the products that it operates allows me to:\n\n* underwrite the risks of early deployment and minimize the cycle time for experimentation\n* connect automation decisions to the outcomes that matter to the business (profitability, growth, retention) rather than intermediate steps in the process.\n* maximize value captured from automation by keeping the upside in-house\n\nThere are also significant opportunities to improve the performance of agents (and the customer experience of products they manage) by re-thinking the approach from first principles and ignoring the assumptions that many AI-enabled vertical SaaS products are built upon.\n\n**For example:** instead of automating the typical customer support workflow you see in most companies (where customers interact with relatively low skill tier 1 customer service agents when they have an issue), why not use AI to scale founder-mode support (empowering your AI support agent with access to source code, production databases, and ability to open a PR that solves a customer problem)?\n\n### What makes you think you can do this?\n\nIn 2023, I acquired a small, profitable software business on [Acquire.com](http://Acquire.com) and started experimenting with using LLMs to automate the business. That experience gave me confidence that with the right approach to automation, there is a clear line of sight to fully automating the operations of a software business.\n\nPrior to working on Rocketable, I spent a decade building products and leading teams that used AI/ML to automate complex tasks. I worked on self-driving cars at Cruise, self-driving trucks and ADAS systems for micromobility at Uber, and an irrigation co-pilot for farmers at Tule (YC S14). Before working on AI-enabled products, I managed traditional B2C and B2B products across web and mobile platforms.\\\n\\\nI write code, have a degree in design, build hardware, and have also worked on optimizing other complex systems (international supply chains and field operations).\n\n### Maybe you’re not crazy. How can I help or get involved?\n\n**📨 Subscribe to updates:** If you’re interested in following along as I figure out the playbook for running software businesses with teams of AI agents instead of humans, [subscribe here](https://rocketable.substack.com/subscribe).\n\n**🚰 Help with deal flow:** I’m starting to work on my next acquisition and looking to meet owners of software products that are currently generating $250K-$600K in annual profit who may be interested in selling. If that sounds like you or someone you know, [please contact me here](https://www.rocketable.com/submit-product).\n\n**🛠️ Work with Rocketable:** It’s likely that I will need to hire a small team of AI-augmented humans to help build the platform that enables acquired products to operate without employees. If you have the domain mastery and technical skill needed to automate one or more of the critical functions of a software business, [please contact me here](https://www.rocketable.com/apply).\n\n![uploaded image](/media/?type=post&id=87105&key=user_uploads/34777/46dabca1-9d5b-4b20-b82d-5c63127e2f7d)\n\n", "url": "https://www.ycombinator.com/launches/Mev-rocketable-the-ai-maximalist-software-holding-company-w25", "votes": 27, "created_at": "2025-01-23T18:29:37.843Z" } ] }, { "id": 30218, "name": "Toothy AI", "slug": "toothy-ai", "former_names": [ "Toothy" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1fe65dd62e91bce60fafd27b8e4bea680f8db7d3.png", "website": "https://www.toothy.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "We’re Toothy.ai. We’re building AI agents for dental practices that handle everything related to patient insurance. The average dental clinic spends over 160 hours a month on insurance tasks like verifying patient policies, billing, and claims processing. Our AI agents automate this entire workflow—including making insurance calls with voice AI—saving clinics time, reducing costs, and ensuring faster reimbursements.", "one_liner": "AI for insurance verification & billing at dental clinics", "team_size": 15, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1736273040, "tags": [ "Health Tech", "Healthcare", "Dental", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 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": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/toothy-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/toothy-ai.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/toothy-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1fe65dd62e91bce60fafd27b8e4bea680f8db7d3.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": 2386492, "full_name": "Johnny Chen", "title": "Founder/CEO", "founder_bio": "2nd time founder now automating back office functions for dental clinics. Built one of the first AI B2B cold email solutions (backed by SoftBank) to $1m in ARR using GPT-J. Background in full stack engineering, operations management, and B2B marketing. Previously worked at Ford Motor’s R&D lab as a software engineer.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/johnnychen54/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d3bb9c5027373836a24ef758940becc0783473a2.jpg" }, { "user_id": 2380535, "full_name": "Matt Kerrigan", "title": "Founder/CTO", "founder_bio": "2nd time technical founder at Toothy AI, where I'm working on automating back office operations for dental clinics. First journey ended in Salezilla, a LLM-based cold email campaign tool that launched before ChatGPT, it is still operating today. Before that I was in a ML role at a startup that was acquired by Nordstrom.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mkerrig/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8ef18191243b4a9bfe0ed4a8fecb3109583b387d.jpg" }, { "user_id": 2380507, "full_name": "Tejas Konduru", "title": "Founder/CRO", "founder_bio": "Helping build the largest healthcare AI company!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tejas-konduru", "x_url": "", "avatar_thumb_url": "/avatars/thumb/missing.png" } ], "jobs": [ { "id": 74334, "title": "Founding Lead Engineer", "url": "https://www.ycombinator.com/companies/toothy-ai/jobs/W8Hxj4B-founding-lead-engineer", "location": "San Francisco, CA, US / Chicago, IL, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Engineering manager", "salary_range": "$100K - $200K", "equity_range": "0.50% - 2.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "JavaScript", "Python", "Natural Language Processing" ] } ], "news": [], "launches": [ { "id": 87923, "title": "🦷 Toothy.ai: Automating insurance verification & claims for dental clinics", "tagline": "Our AI agents automate insurance verifications, claims filing, payment posting (including checks), denials, and follow-ups.", "body": "### **Tl;dr**\n\n* [Toothy.ai](http://Toothy.ai) is building HIPAA-compliant AI agents that automate all the back office functions in a dental practice. Our first two agents automate the entire revenue cycle, so dental practices can sit back and watch the insurance payments roll in [😎](https://emojipedia.org/smiling-face-with-sunglasses)\n* Our AI handles everything from insurance verification, claim creation, claim submission, denial correction, claim resubmission, and payment posting.\n* We're already seeing early customers cutting their back office teams by 50-75% within weeks of implementing Toothy.\n\n### **Launch video**\n\n\n\n### **❌ The problem**\n\n* Dental practices **waste 800 million hours** and **$13.2 billion** per year on time-consuming and repetitive back-office tasks. On top of that, dental practices are facing an unprecedented labor shortage and **90**% of them find it extremely or very challenging to fill vacant positions.\n* The largest, most time-consuming, and error-prone part of a dental practice’s back office is revenue cycle management (RCM)—the process of getting paid. **80%** of dental practices face financial concerns due to RCM challenges. Tasks like insurance verification, claim submission, and payment posting are labor-intensive and prone to errors. Frequent policy changes make it difficult to verify coverage, leading to billing discrepancies and delayed payments.\n\n### **✅ The solution**\n\n![uploaded image](/media/?type=post&id=87923&key=user_uploads/2386492/97bc335c-1d5b-4c4a-ab85-e45f800ca7b2)\n\n* Toothy’s AI agents automate the entire RCM process, **saving practices 160+ hours per month and increasing revenue by 5-10%**. Our AI agents handle everything from insurance verification to payment posting, eliminating the largest source of administrative burden.\n* How do our agents work?\n 1. **☎️ Verify Insurance** – Calls payers and check online portals to confirm coverage.\n 2. 📝 **Input data** - Fills out and uploads a comprehensive breakdown form with 50+ codes into your practice management system.\n 3. 📬 **Create and submit claims** - Accesses imaging software, clinical remarks, and plan details to create & submit comprehensive claims.\n 4. 🛠️ **Correct denials** - Understands denial reasons, updates the claim, and resubmits to payers. Can even draft appeal letters.\n 5. **💰 Payment posting** - Collects, scans, and deposits insurance checks into your bank account.\n* Toothy becomes your full-time RCM team, reducing staff workload and ensuring faster, higher reimbursements.\n\n### **🙏 Our Ask**\n\n* Toothy is already working with dozens of forward-thinking dental practices who never want to deal with insurance again. If that sounds like you, we'd love to talk:\n * 👉 Book a demo: [Here](https://calendly.com/toothy-ai/toothy-ai-demo)\n * Learn more: [toothy.ai](http://toothy.ai)\n* For other inquiries, please email [founders@toothy.ai](mailto:founders@toothy.ai)", "url": "https://www.ycombinator.com/launches/Ms7-toothy-ai-automating-insurance-verification-claims-for-dental-clinics", "votes": 76, "created_at": "2025-02-22T18:42:24.753Z" } ] }, { "id": 30220, "name": "Verbiflow", "slug": "verbiflow", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/61dac6c9c5fd565ee458bdaddc5acb67c824ccd3.png", "website": "https://verbiflow.com", "all_locations": "San Francisco, CA, USA", "long_description": "We help startups reach prospective customers through email, LinkedIn, and cold calls, while keeping your team aligned on every conversation and response.", "one_liner": "Outbound Sequencing Infrastructure for Startups", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1740147387, "tags": [ "SaaS", "Analytics", "Sales", "Sales Enablement", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "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/verbiflow", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/verbiflow.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/verbiflow/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/61dac6c9c5fd565ee458bdaddc5acb67c824ccd3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7c4910266fafcc9e3d5a213d97b4e692cd039e0a.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/183e193081f5d9799db03310e8572094bb873326.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 2368054, "full_name": "Kashyab Ambarani", "title": "Founder", "founder_bio": "Co-founder of Verbiflow", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kashyab-ambarani/", "x_url": "https://x.com/kashyabja", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eb44144cc628aaeefe741ee463192c7dd2ac9bb2.jpg" }, { "user_id": 2087146, "full_name": "Rishi Mahadevan", "title": "Founder", "founder_bio": "Co-founder Verbiflow", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rishi-mahadevan-625844109/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/43f5f920115b063b424f305991a2e7d051a0a268.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87898, "title": "Verbiflow - The Swiss Army Knife For Your Sales Team", "tagline": "The all-in-one platform for sales teams to capture, manage, and automate their entire process. ", "body": "Hey everyone! We're Kashyab and Rishi, co-founders of Verbiflow 😁\n\n# tl;dr\n\nVerbiflow is the all-in-one platform for sales teams to capture, manage, and automate their entire process. Capture leads with intelligent prospecting that identifies high-potential prospects based on real-time events and smart scheduling & routing that instantly assigns those leads to the best-suited sales rep. Manage your pipeline with complete flexibility, defining and tracking custom KPIs across all your sales interactions. Automate reminders and workflows to keep deals moving forward, all within a single, unified platform.\n\n**Ask:** warm intros to sales leaders 😇 (CRO, VP of Sales, & Director of Sales)\n\n\n\n# The Problem 👎\n\nSales teams are grappling with inefficiencies that plague every step of the sales process, from chasing down leads to sealing the deal. For sales reps, the clock is their enemy: they spend just 35% of their time actually selling, leaving about 6.5 hours a day tangled up in manual chores like data entry, prospect hunting, call logging, and scheduling follow-ups. This time sink costs companies roughly $68,000 per rep each year in lost productivity—like paying for a chef who spends most of their shift washing dishes instead of cooking. It’s not just money down the drain; it’s missed chances, too. Leads are 9x more likely to turn into customers if contacted within 5 minutes, but reps buried under admin work can’t keep up, letting golden opportunities slip away.\n\nAccount Executives (AEs) are under pressure to close complex deals, but they’re stuck piecing together past interactions from scattered emails, linkedin messages, notes, and tools to get full context on a deal. This chaos makes it nearly impossible to remember key discussions or spot issues threatening the deal like price objections or competitor mentions early enough to act. AEs lack the real-time insights to tackle blockers as such head-on. Meanwhile, they’re bogged down tracking multiple deals across clunky, disconnected systems, while needing to manually update them too. To top it off, deals often land with the wrong AE—like asking a barber to fix your car; they’re skilled with scissors, not engines, and your car’s not going anywhere fast. Win rates tank, and growth goals slip out of reach.\n\n**The outcome?** A frustrated sales team that’s overworked, stretched thin, and underdelivering on the company’s revenue goals.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfsJ9u8AMu5T7GayrI8W-Tj0Tcjadt4A_-xcLxSh-k5kba2Es3uSw9_DWUEHGX4U8X7shcpXwSdLexdlKMBRZl9IYAZLtts1nNR52_7WCMkBvsAT2uVP8vSz3uW34dz6QA6wxTwnw?key=9M7pNCNH6ZN22VTOIZDfTMsS)\n\n# Our Solution 🤩\n\n![uploaded image](/media/?type=post&id=87898&key=user_uploads/2368054/5e2c41a3-b5c3-4a66-9342-21d027cba0b0)\n\n**Time Wasted on Manual Tasks** \\\nVerbiflow automates lead identification, data enrichment, scheduling, and pulls in all your sales interactions. This eliminates the repetitive manual work that eats up 6.5 hours of a rep’s day, letting them focus purely on selling.\n\n**Missed Opportunities and Poor Deal Assignment**\\\nVerbiflow ensures leads are contacted instantly with automated follow-ups—hitting the 5-minute window when conversions are 9x more likely—while smart routing matches those deals to the best-suited AE based on expertise and performance history. This keeps opportunities alive and optimally assigned without manual effort or guesswork.\n\n![uploaded image](/media/?type=post&id=87898&key=user_uploads/2368054/e5ba9f9e-6e63-423c-b61a-3414151bf03a)\n\n**Lack of Centralized Context** \\\nA unified pipeline consolidates all deal-related emails, messages, calls, & notes, into one view. AEs get a full picture instantly, without digging through scattered sources.\n\n**Sales Blockers**\\\nAI-powered KPIs flag specific hurdles—like pricing objections, competitor mentions, or price consciousness—giving AEs precise insights to resolve issues quickly.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeog_b3ymaSnvHZeJ97Ybp1ql3WqyZwPQBkRwiZyOl5IajGnwuEgU3HTSxbQIH64diOOKnwFsiCQGa5-39n0lKEfs-GEdFzu8tKR-ycfu_tJTVEqnm1J-mxcqIn5Pywph6_ZS-WqQ?key=9M7pNCNH6ZN22VTOIZDfTMsS)\n\n# The Team 🚀\n\n![uploaded image](/media/?type=post&id=87898&key=user_uploads/2368054/2fb432c3-988f-4297-b4aa-984792d8837d)\n\nWe’ve been spending 10+ hours every day with each other since 2024 & have shared a love for building, movies, & music since we met.\n\nKashyab has seen sales teams struggle with disorganization and inefficiencies across the board—from billion-dollar giants to seed-stage startups. Rishi has witnessed the fallout: sales teams buckling under high turnover and missed revenue goals, often due to fragmented data and poor handoffs. Together, we bring 7 years of experience building integrations and shaping B2B SaaS products, blending technical expertise with real-world sales insights. Our hands-on understanding of these problems, paired with our ability to ship fast, makes us the perfect team to fix what’s broken in sales.\n\n# Ask 🙌\n\nWe’re pouring our all into Verbiflow and could use your help:\n\n* Warm intros to sales leaders (CRO, VP of Sales, & Director of Sales)\n* Learn more [here](https://verbiflow.com/) & [book a demo if you’re interested!](https://app.verbiflow.com/calendar)", "url": "https://www.ycombinator.com/launches/Mri-verbiflow-the-swiss-army-knife-for-your-sales-team", "votes": 44, "created_at": "2025-02-21T16:58:54.965Z" } ] }, { "id": 30221, "name": "A1Zap by A1Base", "slug": "a1zap-by-a1base", "former_names": [ "A101", "A1Base" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9b25e6db85435aae7d3185331b3d10ca0ba1f730.png", "website": "https://www.a1zap.com/", "all_locations": "San Francisco, CA, USA", "long_description": "The social network where people build things for each other\r\nCreate tools, games, chatbots, and interactive experiences - then share them instantly with your friends, your class, and your campus.", "one_liner": "The social network layer for AI apps", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1740109834, "tags": [ "Social" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 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/a1zap-by-a1base", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/a1zap-by-a1base.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/a1base", "x_url": "https://x.com/a1baseapi", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9b25e6db85435aae7d3185331b3d10ca0ba1f730.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1512, "full_name": "Pasha Rayan", "title": "Founder/CEO", "founder_bio": "CoFounder of A1Base (YCW25). CoFounder of Forage (YCW19 - Acquired). ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pasharayan", "x_url": "https://twitter.com/Pashpops", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/93ed62b3c2ac6a01fe2d6e7af38517ed4f8b35b9.jpg" }, { "user_id": 311896, "full_name": "Pennie Huang", "title": "Founder", "founder_bio": "Co-Founder of A1Base.\nPreviously early hire eng/product @ Forage (W19)", "is_active": true, "linkedin_url": "https://linkedin.com/in/pennieli", "x_url": "https://x.com/pennepastaa", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/feec77af237dfadc754e1dce6a4e19092c791324.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 100072, "title": "A1Zap - the social network layer for AI apps", "tagline": "Starting with campuses - build apps that spread through a unified social graph", "body": "\n\nSocial networks were built for content. But with AI, people don’t just have to post. They want to build things that engage with others.\n\nA1Zap is a social network where people build things for each other.\n\nOn A1Zap, anyone can create AI-powered apps, chatbots, tools, and agents and share them instantly with friends, group chats, campus and their community. Distribution isn’t a separate problem. It’s built in to our platform from day one.\n\nWe’re starting with campuses - our founders also spent the last 10 years working on a college based YC company (Forage!) - so we’re kind of experts here.\n\nWe’re already seeing this with “Rate My Rent” at UT Austin, group matchmakers at Harvard, and campus maps, events, and tools across universities.\n\nThese aren’t posts. They’re things that happen to you.\n\nOur belief is simple: the next generation of social networks won’t be content feeds. They’ll be networks of things people build and share with each other.\n\nIf you’re building for your friends, your class, or your community, we’d love to chat with you.\n\nStudents - join your campus: ", "url": "https://www.ycombinator.com/launches/Q24-a1zap-the-social-network-layer-for-ai-apps", "votes": 49, "created_at": "2026-04-22T19:09:17.670Z" } ] }, { "id": 30222, "name": "Altrina", "slug": "altrina", "former_names": [ "Symmetric Labs", "Tessa", "General Agency" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/23ee7aa773e16f7887979b0dcfa61db69ba9fd25.png", "website": "https://altrina.com", "all_locations": "San Francisco, CA, USA", "long_description": "Altrina automates SOPs to give humans back their time to do what matters.\r\n\r\nWe have already significantly improved organizational efficiency for local governments, law offices, insurance brokers, consulting firms, and hedge funds.\r\n\r\nFormerly General Agency/Tessa AI", "one_liner": "The SOP Automation Platform", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1736185270, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Inactive", "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/altrina", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/altrina.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/altrina", "x_url": "https://x.com/altrina_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/23ee7aa773e16f7887979b0dcfa61db69ba9fd25.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": 1374660, "full_name": "Mo Nasir", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of Altrina, an automation platform for solving communications and process bottlenecks in human organizations. Previously worked on self-driving cars at NVIDIA.\n\nTea connoisseur 🍵", "is_active": false, "linkedin_url": "https://linkedin.com/in/mohammednasir", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b5984a595618b6c37eefeee0664e320c71155151.jpg" }, { "user_id": 955322, "full_name": "Harvey Hu", "title": "Founder", "founder_bio": "Co-founder and CTO of Altrina. Previously machine learning engineer at Google & TikTok, designing recommendation algorithms for billions of users. I love models, probabilities, and solving complex impactful problems", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/yubin-hu-berkeley/", "x_url": "https://x.com/harveyhucal", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ae232b0468c1b436f117f7e24ab1254f1f790f83.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 96342, "title": "Altrina Automator: Turn demonstrations into reliable browser automations in 5 minutes", "tagline": "Don't be a robot. Automate your repetitive work. Early Access available.", "body": "# **The Problem:**\n\nEvery automation tool promises the same thing: demo it once, automate it forever. One-click, reliable, non-technical.\n\nNone of them actually work. They either:\n\n* **Are unreliable** - Break when websites change, fail silently, or work inconsistently\n* **Are too complex** - Require literal “online universities” to learn\n* **Are still technical** - Building, debugging, and maintaining automations still requires technical expertise\n\nWe know because we tried them all. Then failed to build it ourselves. Twice.\n\nSo we did something different: spent 9 months as automation consultants, building workflows by hand for real customers across manufacturing, legal, sales, and operations. Not demos. Not slides. Just us using our own platform to build automations that had to work every day and generate real value.\n\nAfter 9 months, we're confident: **it works**.\n\n# **Our Solution:**\n\nAltrina Automator lets you create automations by simply demonstrating them:\n\n1. **Record** - Turn on our Chrome extension and perform your workflow once\n2. **Review** - Check the recorded steps, add specifications in natural language\n3. **Generate** - Click one button to create your automation\n4. **Test** - Test run it and adjust anything\n5. **Schedule / Scale** - Set up triggers (daily, weekly, or custom) OR run thousands of automations in parallel using our spreadsheet interface\n\nEverything is editable in natural language—no code required.\n\n**See it in action: AI Research Newsletter**\n\nBuilding a personalized email digest of AI papers used to take 2-3 weekends to code, debug, and maintain.\n\nWith Altrina? 5 minutes: https://youtu.be/U_nf1tUyFW4\n\n# **Early Access:**\n\nWe're opening early access this holiday season. If you're comfortable installing Chrome extensions in developer mode, sign up here: https://forms.gle/s3gtCmZEoxwqGHmLA\n\nWe're sharing more demos throughout this holiday season and planning a full launch soon—follow along to see what's possible!\n\n![uploaded image](/media/?type=post&id=96342&key=user_uploads/955322/7eeeb6c3-1c5a-430d-acee-63ff366f0576)\n\n", "url": "https://www.ycombinator.com/launches/P3u-altrina-automator-turn-demonstrations-into-reliable-browser-automations-in-5-minutes", "votes": 14, "created_at": "2025-12-22T04:19:02.711Z" }, { "id": 93094, "title": "Tessa API: State-of-the-Art Browser Agent for Your Vertical AI", "tagline": "Latest benchmarks show Tessa leads on success rate by 12%. Try it now!", "body": "If you have tried building browser agents into your vertical AI application, you know how tricky they are. The last thing you want is for the agent to “act up” with your browser and do something other than what you asked for. You need web agents that’s **smart, reliable, and accurate**. \n\n**You need the best one out there** and that agent is Tessa, according to the latest benchmarks. \n\n# **State-of-the-Art Results**\n\nFor 8 months running, we have maintained state-of-the-art performance among browser agents. We first achieved SOTA results of 93% success rate on the Web Voyager benchmark in December 2024, before OpenAI's Computer Use Agent and the current wave of browser agents entered the market.\n\nNow, with intense competition and industry attention, our latest benchmarking shows **we are still leading by a significant margin**. \n\n![uploaded image](/media/?type=post&id=93094&key=user_uploads/955322/00e425e5-dbf1-45e9-bd0c-61c18b8fb131)\n\nThe REAL benchmark evaluates web agents in complex, real-world scenarios and is scored on mostly classical, deterministic criteria. The latest results show **Tessa achieves 54.5% success rate**—a 12% lead over Anthropic’s computer use. If you are looking for a browser agent for your vertical AI application, Tessa is your best bet to get the task done. \n\n# **What we offer**\n\n* Simple to get started: just give it a directive\n* Bring Your Own Browser (BYOB) or have Tessa spin it up for you\n* Stealth built-in. The agent’s actions are indistinguishable from humans\n* Choose the best LLM models\n\nWe benchmarked different models’ performance against the cost in the following two graphs for you. We recommend sonnet-4 for most cases but Gemini 2.5 Flash, o3, and Opus 4.1 are all good choices along the price-performance boundary. \n\n![uploaded image](/media/?type=post&id=93094&key=user_uploads/955322/08208ba5-6eb2-463d-b077-cb1852be11a1)\n\n![uploaded image](/media/?type=post&id=93094&key=user_uploads/955322/2551caaf-a1de-4ff5-bcf1-35e4bc3d4e51)\n\n# **How did we beat OpenAI and Anthropic?**\n\nWe pioneered a unique **inference-time scaling architecture for browser agents**, named **RAVE (Reason, Act, Verify, and Evaluate)**, which helped us maintain the lead. _Read our technical deep-dive blog post for the full methodology [here](https://www.heytessa.ai/blog/evolving-our-state-of-the-art-browsing-agent)._ \n\n# **Start Building with Tessa Today**\n\nWe have been using it to build transformative workflows for our clients over the past few months. Now you have access to it too through a simple API. \n\n```\nurl = \"https://api.heytessa.ai/v1/run_browser_agent\"\nheaders = {\"Authorization\": f\"Bearer {YOUR_API_KEY}\"}\n\nresult = requests.post(url, headers=headers, json={\"directive\": \"Go to news.ycombinator.com and get the titles and points of the top 3 stories on the homepage\"}).json()\nprint(result['history_url'])\n```\n\n### **We Support Any Vertical**\n\n**Legal AI**: Research case law across Westlaw, LexisNexis, court databases, or your internal databases to retrieve information. \n\n**Financial Applications**: Aggregate real-time data from trading platforms, regulatory filings, and financial databases.\n\n**Healthcare**: Navigate patient portals, insurance systems, and medical databases with the reliability healthcare workflows demand.\n\n**E-commerce Intelligence**: Monitor competitor pricing, inventory, and product data across hundreds of sites.\n\n**Research Platforms**: Gather information from academic databases, journals, and specialized repositories.\n\n**Try our API today** and see why choose Tessa for production web automation.\n\n[**Get API Access →**](https://docs.heytessa.ai/api-reference/quickstart) |[ **Book a Demo →**](https://calendar.app.google/cEAAJPXsT3ZwCoAA8)", "url": "https://www.ycombinator.com/launches/ODW-tessa-api-state-of-the-art-browser-agent-for-your-vertical-ai", "votes": 16, "created_at": "2025-08-18T15:02:05.137Z" }, { "id": 89958, "title": "Tessa Workflows: Smarter than no-code; Faster than hiring", "tagline": "The easiest way to automate work using natural language", "body": "Have you encountered boring, repetitive tasks you have to do for work? Things like:\n\n* Reviewing the same kinds of emails and deciding how to respond\n* Pulling data from different tabs to build reports\n* Monitoring your portfolio or competition every week for updates\n\nIf you ever tried automating them, you’d realize, after hours of attempts, that RPA fails because of the **complex decisions** involved and AI agents are too unstable because of **compounding error** over long horizons. We built Tessa to end this headache for you. \n\n\\# **What We’re Building**
\n\n[app.heytessa.ai](http://app.heytessa.ai) is the easiest way yet to build AI employees.\n\nWe turn your natural language instructions into editable workflow graphs that can run in the browser. It's not a co-pilot or another drag-and-drop builder you have to learn. It's your new teammate: one who never complains and doesn’t get bored.\n\nUse our workflow editor to change every detail, or simply “vibe-create“ the workflow. Watch our latest [demo](https://youtu.be/R85MyAbijlc) here:\n\nHere’s how it works:\n\n* Start with a prompt: “Send me a daily stock report”\n* Tessa builds a full workflow graph expressed in simple natural language\n* You can review, edit, or add nodes just by chatting in our omni-bar, or jump in to tweak the prompts\n\nIt’s like vibe coding for work that **_you don’t want to do._**\n\n# **How Can Tessa Work For You?**\n\nWe’ve built templates that handle workflows like:\n\n* [Sending daily stock summaries](https://youtu.be/PsE-ucpefc4)\n\n [Stock Monitor Template](https://app.heytessa.ai/public/workflow/498cceef-0f07-47ad-b0a9-3101bd71f380)\n* [Extracting and processing invoices](https://youtu.be/vGin9ctJ9Jg)\n\n [Invoice Extractor Template](https://app.heytessa.ai/public/workflow/dee4d359-4099-49c0-adc4-ea2937db737c)\n* [Handling a customer support ticket end-to-end](https://youtu.be/Xm5K8cwA1Bs)\n\nTessa can basically do anything an intern can do on a computer. We’re happy to build any custom integrations for you. Tessa carries out workflows from beginning to end, saving companies **_hundreds of hours and thousands of dollars._**\n\n# **Glimpse of the future**\n\nWe’re building AI that learns what you do just by watching you do a screen share. No prompting. No drag-and-drop. No engineering degree required. Just talk and we get it done. It’s going to be a dashboard-less experience where you simply talk to Tessa on a video call, on Slack, via email, or over the phone.\n\n# **Try Tessa Today**\n\nWe are looking for teams that are tired of wasting time and money on repetitive ops and decisions. \n\nIf you want custom integrations or are not sure how to get started\n\n* Book a demo [here](https://calendar.app.google/KTzWA6dV8GQvpm9B8)\n\nIf you can’t wait to use Tessa for yourself\n\n* Try out a template [here](https://app.heytessa.ai/)\n\n**Start delegating to Tessa and save your time and energy now!**\n\n![uploaded image](/media/?type=post&id=89958&key=user_uploads/955322/fcd5deda-f518-4dd1-aaf6-3067a0a221a7)\n\n", "url": "https://www.ycombinator.com/launches/NOw-tessa-workflows-smarter-than-no-code-faster-than-hiring", "votes": 28, "created_at": "2025-04-29T23:13:48.922Z" }, { "id": 88085, "title": "Tessa - A universal BPO agent that learns and improves like a human 💡", "tagline": "Self-improving AI agents to automate backoffice business processes", "body": "Hey everyone! We’re Mo and Harvey, co-founders of General Agency! 🚀\n\n**Tl;dr – We’re building Tessa, the world’s first AI coworker that actually learns like a human does.**\n\n[➡️ Try Tessa Today](http://app.heytessa.ai) \n\n\n\n**Our Story 📖**\n\nHarvey worked on deep learning models for recommendation systems at TikTok and Google, improving the experience for billions of people worldwide. Mo worked on self-driving cars at NVIDIA for 4.5 years, inventing self-optimizing motion controllers with RL and filing 4 patents in the process.\n\nMuch like a self-driving car, AI agents perceive the world, plan a sequence of actions, and act on that plan. We came together last year to build a state-of-the-art web browsing agent that **achieves 93% on WebVoyager, outperforming OpenAI Operator, Google’s Project Mariner, and all other browsing agents publicly available.** \n\nFor an AI agent to take actions on your behalf, **the bar for accuracy is high**, especially for enterprises. While ordering a pizza to a random location 400 miles away is something to laugh about, hallucinating facts in a consultant’s research report is a _very_ big deal.\n\nAI agents act exactly like human workers who’ve never experienced a particular task: neither get it perfectly right the first time. Humans, however, _learn_ from demonstration, experience, and feedback.\n\nThis learning ability is the missing piece towards human-level AI. We’re building a [novel cognitive architecture](https://www.heytessa.ai/blog/introducing-large-neurosymbolic-cognitive-models) that enables Tessa to not just accomplish tasks like a human, but also learn with experience and natural language feedback. This architecture enables information retrieval that is **guaranteed hallucination-free**.\n\n![uploaded image](/media/?type=post&id=88085&key=user_uploads/1374660/48e24128-b5e2-48c1-a8bb-115ce310979d)\n\n**Our Product 🧠**\n\nTessa can perform many of the tasks that outsourced teams currently perform. Simply show Tessa how to do a task with a screen recording, send her an email, or hop on a video chat to discuss the project. \n\n![uploaded image](/media/?type=post&id=88085&key=user_uploads/1374660/abceca01-e36a-4938-a101-2dda56151094)\n\nOver time, Tessa becomes an integral part of your team, learning the intricacies of your workflows and projects, and applying the know-how reliably. Tessa is not yet-another-tool to be used; Tessa is a star employee that grows with you and your company, **acquiring and improving on institutional knowledge with every interaction.**\n\n![uploaded image](/media/?type=post&id=88085&key=user_uploads/1374660/3e7372e5-667d-4a36-8f05-ba68f1dbaae3)\n\n**The Use Cases ⚡**\n\nCompanies of all sizes, from startups to the Fortune 100 are using us for:\n\n✅ Deep, accurate research for strategy consulting\n\n✅ Trademark search and infringement monitoring\n\n✅ Resolving complex customer support queries\n\n✅ Sales prospecting and research on buyer intent signals\n\n**Our Ask 🙏**\n\nIf you work at a business of any size with:\n\n* Repetitive and menial tasks that eat a chunk out of your time, or\n* An offshore team handling the above\n\nWe’d love to chat! Please email us at [founders@generalagency.ai](mailto:founders@generalagency.ai) or grab some time on our [calendar here](https://calendly.com/harvey-general-agency/tessademo0220)\n\n![uploaded image](/media/?type=post&id=88085&key=user_uploads/1374660/577e03ba-128f-4183-9ee8-0f07848ec7aa)\n\n![uploaded image](/media/?type=post&id=88085&key=user_uploads/1374660/e146a047-6787-4231-9ca2-3ab0e93f8d7e)\n\n", "url": "https://www.ycombinator.com/launches/Muj-tessa-a-universal-bpo-agent-that-learns-and-improves-like-a-human", "votes": 36, "created_at": "2025-02-26T23:11:51.107Z" } ] }, { "id": 30223, "name": "a0.dev", "slug": "a0-dev", "former_names": [ "Aura", "Auraful" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/eed1f4cfbc94ee7934ad288bea413225964237fe.png", "website": "https://a0.dev", "all_locations": "San Francisco, CA, USA", "long_description": "a0.dev is a platform that helps mobile developers build high quality apps in days instead of weeks by generating custom react native projects. We've launched top ranking apps that have been used by hundreds of thousands, and now we're creating the tools we wish we had to build faster.", "one_liner": "We make mobile apps using AI.", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1737327618, "tags": [ "Developer Tools", "Generative AI", "Design", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/a0-dev", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/a0-dev.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/a0-dev", "x_url": "https://x.com/a0_dev", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/eed1f4cfbc94ee7934ad288bea413225964237fe.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1607594, "full_name": "Seth Setse", "title": "Founder/CEO", "founder_bio": "Co-Founder @ a0.dev | CMU ‘23 | Serial App Developer", "is_active": true, "linkedin_url": "https://linkedin.com/in/seth-setse-0641b6175", "x_url": "https://twitter.com/SethSetse", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8545fc5e10a06deb0f28e48078d3ecb8a28e3be2.jpg" }, { "user_id": 1671930, "full_name": "Ayomide Omolewa", "title": "Founder/CTO", "founder_bio": "a0.dev, Nvidia, Paramount, Google, Lockheed Martin", "is_active": true, "linkedin_url": "https://linkedin.com/in/omolewa", "x_url": "https://www.twitter.com/TheDonAyo", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/21b022f02a5c80e68523a93bd45bfe8fed2fb43a.jpg" } ], "jobs": [ { "id": 94204, "title": "Founding Growth Lead (Contract-to-Hire)", "url": "https://www.ycombinator.com/companies/a0-dev/jobs/V7cGC6Z-founding-growth-lead-contract-to-hire", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$140K - $180K", "equity_range": "0.40% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 94207, "title": "Founding Brand and Content Lead (Contract-to-Hire)", "url": "https://www.ycombinator.com/companies/a0-dev/jobs/SbEHSvR-founding-brand-and-content-lead-contract-to-hire", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$140K - $180K", "equity_range": "0.40% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 91846, "title": "a0.dev - Phase 1: We're all gonna make apps (WAGMA)", "tagline": "Build mobile apps in minutes using AI.", "body": "![uploaded image](/media/?type=post&id=91846&key=user_uploads/1607594/d98552b9-2959-4309-9fbe-f064cf3849f1)\n\nHey YC! 👋 \\\n\\\nWhen we first launched earlier this year, we set out with a bold vision: what if anyone, regardless of technical background, could turn their ideas into real mobile apps in minutes instead of weeks? After seven years of building our own apps, we’ve spent the last five months working tirelessly to supercharge a0 – and now, thanks to that effort, we’re all going to make apps.\n\nhttps://www.youtube.com/watch?v=74ZzymZO7fw\n\n### **So what’s new in Phase 1?**\n\nTo start, we created the world's fastest iOS build process - literally seconds from code to installable app on your phone.\n\nThis lead into One-click App Store submission that handles all the Apple provisioning nightmare for you\n\nWe also shipped lots of improvements to our code-gen like Agent Mode with thinking capabilities that can read files, search context, and solve complex problems.\n\nAnd we built-in payments support to a0.dev so you can start monetizing your apps immediately\n\nYou can read the full breakdown in our [blog post](https://a0.dev/blog/phase-1-wagma).\n\n### Isn’t \\____\\_ already doing this?\n\nWe know AI app builders are a popular idea these days. We were the first to launch an AI mobile app builder and have seen many competitors pop up after us, some even from YC. To us, it’s just more proof that this idea is worth working on. We’re taking a different approach to building a0 that comes from our experience as app developers and we’re confident it will be the correct one.\n\nWe didn't just build another no-code tool. We built an AI-native platform that wraps the entire app development experience from idea -> app store. Our agent builds beautiful UI and even handles the back-end. Combined with instant iOS builds, we're removing every friction point between idea and getting your app on the store.\n\nThe response from our first launch has been incredible - 100k+ developers are shipping apps faster than ever with a0.\n\nOur new mantra is WAGMA: We Are All Gonna Make Apps , because we genuinely believe with a0 everyone has the power to get to the app store.\n\nWelcome to Phase 1.", "url": "https://www.ycombinator.com/launches/NtO-a0-dev-phase-1-we-re-all-gonna-make-apps-wagma", "votes": 11, "created_at": "2025-07-03T18:24:33.801Z" }, { "id": 87417, "title": "a0.dev: Build Mobile Apps in Minutes", "tagline": "Generate, preview, and refine your app—all in one place.", "body": "Hey everyone, we’re [Seth](https://x.com/sethsetse) and [Ayo](https://x.com/TheDonAyo) and – co-founders of [a0.dev](http://a0.dev)\n\n**tl;dr**\n\n[a0.dev](http://a0.dev) is the fastest way to build React Native apps.\n\nWe generate the **entire front end** of your app for you—navigation, state management, and UI screens, all set up and ready to go.\n\nNeed to prototype a single screen instead? We also built a Component Generator, like **v0 but for React Native**, so you can quickly create and export screens with clean, production-ready code. Check out a quick demo video👇.\n\n\n\n# **The Problem:** _Building Apps is Hard_\n\nLaunching a mobile app is much harder than releasing a website. Setting up your project, coding every screen, managing state, and integrating the backend can take **weeks**.\n\nAnd if you’re building for iOS, you need a Mac to run Xcode, deal with provisioning profiles, and compile your app—just to test it.\n\n[**a0.dev**](http://a0.dev) removes these barriers. We generate your app’s front end in minutes and let you preview it right away—no Mac, no complicated setup, no waiting.\n\n# **Our Solutions:**\n\n**#1 Full App Generator –** Build a complete React Native app\n\n[a0.dev](http://a0.dev) takes care of the entire front end of your mobile app—so you can go from idea to working UI in minutes.\n\n✅ **Instant App Generation** – Describe your app, and we generate a complete React Native project with navigation, state management, and essential UI screens.\n\n✅ **Live Preview & Hosting** – Share your app instantly with anyone, no need for TestFlight or manual builds. We host your app so you can test and iterate faster.\n\n✅ **Remote Development Environment** – Work on your app from anywhere via an SSH-powered cloud IDE, with real-time reload and collaboration.\n\n🚀 **Faster to Market** – We’re proving that high-quality mobile apps can be built in record time. We both shipped fully functional apps to the App Store in **under 24 hours** using [a0.dev](http://a0.dev).\n\n\\\n**Check out our demo** where we made a chess timer app in <10 minutes.\n\n[**https://www.youtube.com/watch?v=G_upRVS63Fk**](https://www.youtube.com/watch?v=G_upRVS63Fk)\\\n\\\n**#2 Component Generator –** Like **v0, but for React Native**\n\nAlready have an app or need to quickly prototype a single screen? Our Component Generator lets you create custom React Native UI screens in seconds.\n\nWhile our focus is on building entire apps, our component generator helps you iterate and test ideas **faster than ever.** Try it out [here](https://a0.dev).\n\n![uploaded image](/media/?type=post&id=87417&key=user_uploads/1607594/35f5044d-d40a-4dba-8fb7-71ef8ffddc7c)\n\n**Our Story & Vision**\n\nWe started as indie app developers, making side income with apps generating up to $14k MRR. But we realized how hard it was for others to do the same. Our goal is to make mobile app development even easier than building websites. We want more people to be able to make a living creating and selling their own software. [a0.dev](http://a0.dev) is the platform we wish we had when we started—and now we’re building it for you.\n\n**Our Ask**\n\n* If you’re a mobile app developer who wants to make a new app or an aspiring app developer looking to enter the scene, contact us and try a0, we’ll help you create and launch your app in < 3 days.\n\n**Get Started**\n\n* Try our Component and Full App Generator at \n* Follow our journey on X: \n\n_Need to reach the founders?_\n\nEmail: [**founders@a0.dev**](mailto:founders@a0.dev)", "url": "https://www.ycombinator.com/launches/Mjx-a0-dev-build-mobile-apps-in-minutes", "votes": 142, "created_at": "2025-02-04T21:52:45.423Z" } ] }, { "id": 30224, "name": "Maritime Fusion", "slug": "maritime-fusion", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2af0192d25e843e5333e635fa35115413fbca155.png", "website": "https://maritimefusion.com", "all_locations": "San Francisco, CA, USA", "long_description": "Maritime Fusion is building fusion reactors for ships and off grid energy markets. En route on this endeavor we’re commercializing High Temperature Superconducting (HTS) cable technology for power distribution while advancing the physics basis of our HTS tokamak to decarbonize global shipping. \r\n\r\nBreakeven fusion is coming soon, but the first-of-a-kind (FOAK) reactors will be costly, high maintenance, and have low capacity factors, leading to 5–10x higher electricity cost on the grid. Maritime Fusion is pursuing the most widely accepted approach to fusion, the tokamak, but specifically designed for the marine environment where the challenges that arise between breakeven and a commercially viable energy source are alleviated. The market we're targeting requires 15x less power, lower up-time, and costs the same as alternative fuels but without any emissions. Since fusion does not use highly radioactive fuels or materials – unlike fission – we sidestep the vast majority of regulatory challenges and safety risks associated with nuclear energy. Our team brings over a decade of industry and research experience in plasma physics, nuclear engineering, and electrical engineering with backgrounds at SpaceX, Tesla, Columbia University, and University of Pennsylvania.", "one_liner": "Fusion reactors for ships", "team_size": 6, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1739572830, "tags": [ "Fusion Energy", "Hard Tech", "Energy" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Industrials", "Energy" ], "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/maritime-fusion", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/maritime-fusion.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/maritime-fusion", "x_url": "https://x.com/maritimefusion", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2af0192d25e843e5333e635fa35115413fbca155.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": 2336806, "full_name": "Justin Cohen", "title": "Founder/CEO", "founder_bio": "Nuclear engineer and plasma physicist working on fusion reactors for defense and commercial shipping applications. Previously Tesla, SpaceX, Columbia University, Princeton Plasma Physics Laboratory, NC State.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/justin-cohen707", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c63b262e560db673d53a59a25f5d906a3b7acaef.jpg" }, { "user_id": 2364454, "full_name": "Jason Kaufmann", "title": "Founder/CTO", "founder_bio": "I'm a hardware engineer with a passion for building cool electronics and systems. With a background in physics and computer engineering from Penn, I've worked on everything from AI hardware at Tesla to power systems for rockets at SpaceX. Currently focused on making a fusion reactor for ships.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jasonskaufmann/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/de5bd445a30e5ded336464f26afb4873ba9b1435.jpg" } ], "jobs": [ { "id": 75503, "title": " Member of Technical Staff - R&D Engineering", "url": "https://www.ycombinator.com/companies/maritime-fusion/jobs/jF7a5Wc-member-of-technical-staff-r-d-engineering", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$120K - $200K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 75505, "title": "Member of Technical Staff - Plasma Physics", "url": "https://www.ycombinator.com/companies/maritime-fusion/jobs/sX8ipt6-member-of-technical-staff-plasma-physics", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Science", "role_type": "Laboratory", "salary_range": "$120K - $200K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 85661, "title": "R&D Technician", "url": "https://www.ycombinator.com/companies/maritime-fusion/jobs/vbJGLSZ-r-d-technician", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$100K - $160K", "equity_range": "0.10% - 0.25%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 85662, "title": "Business Development & Strategic Partnerships Lead", "url": "https://www.ycombinator.com/companies/maritime-fusion/jobs/fpZ2pbI-business-development-strategic-partnerships-lead", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$120K - $200K", "equity_range": "0.10% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "This startup wants to build a fusion reactor — on a boat | TechCrunch", "url": "https://techcrunch.com/2025/11/24/this-startup-wants-to-build-a-fusion-reactor-on-a-boat/", "date": "Nov 24, 2025" } ], "launches": [ { "id": 87909, "title": "Maritime Fusion - Fusion reactors for ships", "tagline": "The application where first generation fusion reactors can thrive", "body": "[We are building the first fusion reactors for marine applications](https://www.youtube.com/watch?v=5ThTnDoKzLU)\n\n**The Problem**\\\nBreakeven fusion is on the horizon, but first-of-a-kind (FOAK) reactors will be expensive, high-maintenance, and have low capacity factors, leading to 5–10x higher electricity cost on the grid. Additionally, these reactors face significant physics challenges for steady-state operation, such as managing first wall heat flux and mitigating nuclear activation of structural components that require novel materials to solve.\n\n**The Solution**\\\nWe are leveraging the most proven approach to fusion energy, the HTS tokamak, but designed specifically for maritime applications. This reactor bridges the gap between achieving breakeven fusion and commercial viability. Our target market, commercial shipping vessels, require 15x less power and lower uptime compared to traditional grid reactors all while matching the cost of alternative bunker fuels—without any emissions. Operating at reduced power densities also alleviates many of the materials hurdles, paving the way for a more robust and reliable technology in the near term. We’re also leveraging the same reactor to meet the Department of Defense’s need for mobile power plants via Ship-to-Shore power.\n\n![uploaded image](/media/?type=post&id=87909&key=user_uploads/2336806/28482a6e-e905-4e36-9aad-41bd64336dff)\n\n**Who We Are**\\\nOur team brings over a decade of industry and research experience in plasma physics, nuclear engineering, and electrical engineering with backgrounds at SpaceX, Tesla, Columbia University, and University of Pennsylvania. We first met at SpaceX while conducting radiation tests for Starship electronics, and later worked together at Tesla on Cybertruck and Optimus.\n\n![uploaded image](/media/?type=post&id=87909&key=user_uploads/2336806/3b3e4061-2aff-4cb0-a183-5755dc8fae50)\n\n**How the YC Community Can Help**\\\nWe’re in process of making inroads to the Department of Defense, Navy, DARPA, and Department of Energy, as well as connections to the commercial shipping industry, if you know anyone we should speak with please reach out!\\\n[maritimefusion.com](http://maritimefusion.com)\\\n[founders@maritimefusion.com](mailto:founders@maritimefusion.com)", "url": "https://www.ycombinator.com/launches/Mrt-maritime-fusion-fusion-reactors-for-ships", "votes": 28, "created_at": "2025-02-21T20:38:05.707Z" } ] }, { "id": 30225, "name": "Trava", "slug": "trava", "former_names": [ "Vora AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3d0be0347387260245589e1f25ed7b5d45b73488.png", "website": "https://www.usetrava.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Trava is building AI agents for global trade compliance. Importers lose billions each year to duty overpayments and filing errors. Trava audits customs entries and automates classification to help importers protect margins and stay compliant at scale.", "one_liner": "AI agents for global trade compliance", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1738095823, "tags": [ "Generative AI", "B2B", "Compliance", "Logistics", "Supply Chain" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/trava", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/trava.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/trava-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3d0be0347387260245589e1f25ed7b5d45b73488.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 2380951, "full_name": "Pushkar Lanka", "title": "Founder/CEO", "founder_bio": "Founder & CEO at Trava. I was previously an Engineering Manager at Plaid, where I ran the Privacy and Risk engineering org. Before that, I was an early engineer on Meta's blockchain team (Libra/Novi).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pushkarlanka/", "x_url": "https://x.com/LankaPushkar", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d171ddda2e19e11648d7c027c435a93b604aea1b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95534, "title": "Trava - Protect your margin on every import", "tagline": "Helping importers recover overpaid duties, protect margin, and classify products accurately while tariffs shift constantly.", "body": "# **TL;DR**\n\nTrava helps US importers recover overpaid duties, protect margin, and classify products accurately even as tariff rules change constantly. If you oversee finance or trade compliance, talk to us. We can help you recover up to 10% of duties paid this year.\n\nhttps://youtu.be/6lKXDCIQj8k\n\n# **Problem**\n\nUS importers have paid **over $200B in duties** in 2025, an all-time high. A significant share of that is overpaid, and most of them never realize it.\n\nTwo shifts explain why this is accelerating:\n\n1. **Tariff volatility has exploded.** Duty rates and HTS rules now change constantly. In 2025 alone, there’s been a wave of Section 301 updates, Section 232 expansions, new IEEPA/fentanyl tariffs, reciprocal tariffs, and more. The systems importers rely on were built for a more stable trade environment and can’t keep up.\n2. **“De minimis” rollback is exposing millions of new SKUs to duties.** Brands that never paid duties before now need accurate HTS codes for every SKU, often with no internal expertise, dramatically increasing classification volume and the risk of costly errors.\n\n**The combined effect:** filing errors and misclassifications are more common than ever, leading to margin leakage, missed refunds, and rising audit exposure.\n\nAnd today’s mitigations fall short:\n\n* Large importers hire **expensive consultants** who audit filings only after duties are paid, tying up cash for months and missing most issues because they review only a small sample.\n* Many lean on their **customs brokers**, who are incentivized to clear shipments quickly, not optimize duty burden, find refunds or classify goods. And capacity is shrinking, as the workforce is aging and fewer new brokers enter the field.\n\n**Importers carry the liability but are flying blind — overpaying duties and holding compliance risk they can’t see.**\n\n# **Solution**\n\nTrava gives importers a system that continuously reviews 100% of their customs entries and product catalog for duty and classification accuracy.\n\nImporters see three core benefits:\n\n1. **Recover margin** by surfacing overpaid duties and missed refunds. Once integrated, Trava often prevents the overpayment entirely by catching issues _before_ duties are even paid.\n2. **Reduce exposure** by flagging underpayments and risky classifications _before_ they turn into penalties because of a surprise CBP audit.\n3. **Classify accurately** with a copilot that suggests correct HTS codes on every SKU, critical as rules change constantly and millions of products lose de minimis protection.\n\nAI handles the heavy lifting, and Trava’s trade specialists validate edge cases and final outputs.\n\n# **Team**\n\nPushkar was an engineering manager at Plaid, where he led Privacy & Risk Engineering and built compliance systems that scaled to thousands of customers and millions of consumers. Before that, he was an early engineer on Meta’s crypto/fintech team (Libra/Novi) building digital payments infrastructure.\n\nHe’s seen firsthand how compliance breaks under scale and regulatory volatility, and how automation with human oversight can turn it into an advantage. He’s now bringing that same approach to the world of trade compliance.\n\n# **Our Ask**\n\nMessage [pushkar@usetrava.com](mailto:pushkar@usetrava.com) or visit [**usetrava.com**](http://usetrava.com) to request early access.\n\n1. **Importers:** We’re running a limited number of year-end duty and classification audits. If you oversee the P&L or compliance, we’ll show you exactly how much margin you’re leaving on the table, and help you classify products correctly.\n2. **Customs Brokers / Trade Consultants / Trade Attorneys:** We’re open to partnerships. Use Trava to offer deeper audits and classifications as a service to your importer clients.\n\n**Intros welcome!** If you know CFOs, compliance leaders, or brokers who’d benefit from this, an intro means a lot.\n\n![uploaded image](/media/?type=post&id=95534&key=user_uploads/2380951/fc39120e-71b2-4372-a22f-7dc6cd7afd46)\n\n", "url": "https://www.ycombinator.com/launches/Oqs-trava-protect-your-margin-on-every-import", "votes": 26, "created_at": "2025-11-16T18:11:03.164Z" }, { "id": 88327, "title": "Vora: AI Recruiter for Hiring Managers", "tagline": "Top candidates, booked directly on your calendar.", "body": "**TL;DR:** **Vora gives hiring managers an AI recruiter.** Our AI agent identifies, engages, and books meetings with **top talent that actually respond** — so hiring managers don’t have to spend hours sourcing.\n\n👉 **Hiring founding engineers? Let Vora source and book candidates for you. Fill out **[**this form**](https://docs.google.com/forms/d/e/1FAIpQLScpjg68_IlN1c7xfXqEFsMMLLhxc3IYQpvjXNbdRQTFIWdAtg/viewform?usp=header)** for early access.**\n\n---\n\n### **🚨 The Problem**\n\nThe **best candidates aren’t actively looking** — they already have great jobs. But hiring managers **don’t have the time** to find and engage them.\n\n* **Recruiting software has historically failed** because it was built for **recruiters, not hiring managers** — which means more dashboards, more manual work, and little actual hiring.\n* **Existing tools (LinkedIn Recruiter, ATS systems) require too much effort** — hiring managers still have to search, craft outreach, and follow up.\n* **Recruiters and agencies are expensive and misaligned** — they optimize for placements, not long-term success.\n* **Spending on hiring has never been higher** — companies are publicly offering **$15K+ referral bonuses** just to find top AI engineers.\n\n### **⚒️ The Solution**\n\nWe give hiring managers an **AI recruiter** that automates sourcing and outreach. Instead of spending hours manually searching and messaging, hiring managers **assign the task**, and Vora **delivers**:\n\n* **Our sourcing agent** finds top talent (passive candidates who aren’t applying)\n* **Our research agent** crafts deeply researched emails that convert **5x better** than the basic personalization used by other tools today.\n* **Once they’re activated, our agent schedules them directly on the hiring manager’s calendar**\n\n![uploaded image](/media/?type=post&id=88327&key=user_uploads/2380951/39a04812-770c-4ac4-821e-6203bff527c8)\n\n_(Dashboard used by the internal Vora team)_\n\nBut here’s what sets us apart - we **sell the work, not just the software** - hiring managers don’t need to learn a new tool or spend time navigating dashboards. **They just get meetings booked with candidates delivered straight to their calendar.**\n\nHiring managers don’t need to log in to anything - they interact with **Rachel, our AI recruiter, directly in Slack**, just like a coworker.\n\nRachel **keeps hiring managers updated, asks for feedback, and refines searches — all in Slack.**\n\n![uploaded image](/media/?type=post&id=88327&key=user_uploads/2380951/14407af6-d1f7-441a-ba9d-77120a6938b7)\n\n---\n\n### **💡 Our Wedge**\n\nWe help **fast-growing tech startups (Seed to Series B) attract the best engineers and hire faster.** Our early customers include:\n\n* **Early-stage startups** — Founders hiring their **first engineers** without an in-house recruiter.\n* **Scaling teams** — Hiring managers at **Series A/B companies** who need to grow their team quickly.\n* **VC-backed companies** — Startups competing for **top AI and engineering talent** in a competitive market.\n\n### **🚀 We’re already delivering results**\n\n* **Trusted by fast-growing AI startups** in SF & NYC (Seed to Series B)\n* **Multiple startups already running paid pilots**\n* **Hundreds of top candidates sourced & engaged**\n* **Dozens of hiring manager screens booked — directly on their calendars**\n\nHere’s a testimonial from an early customer:\n\n_\"In just two weeks, Vora booked six interviews with engineers we previously couldn’t even reach. It’s like having a world-class recruiter embedded in our team.\"_\\\n**—** Co-Founder/CTO @ AI Startup (backed by YC and General Catalyst)\n\n### **🤝 TEAM**\n\n**Pushkar** was an **engineering & hiring manager at Plaid**, where he experienced firsthand how **delays in hiring can prevent you from hiring the best people**. Previously, he was an early engineer on **Facebook’s crypto team** **(Novi)**.\n\n![uploaded image](/media/?type=post&id=88327&key=user_uploads/2380951/1011e3a6-60d2-42ae-b4c6-48d27cd2b4c0)\n\n---\n\nIf you’re hiring and want top candidates booked directly on your calendar, hit us up at [founders@usevora.ai](mailto:founders@usevora.ai)", "url": "https://www.ycombinator.com/launches/Myd-vora-ai-recruiter-for-hiring-managers", "votes": 23, "created_at": "2025-03-07T17:07:48.578Z" } ] }, { "id": 30226, "name": "Elip AI", "slug": "elip-ai", "former_names": [ "TejasAI", "Tejas AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/54e4f055bff9db8e9f1d9ba01a05699d60abbf1b.png", "website": "https://www.tryelip.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Cooking something sweet and salty! ", "team_size": 4, "industry": "B2B", "subindustry": "B2B", "launched_at": 1740851644, "tags": [ "B2B", "Recruiting", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "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/elip-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/elip-ai.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tejasai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/54e4f055bff9db8e9f1d9ba01a05699d60abbf1b.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": 992401, "full_name": "Gaurav Luhariwala", "title": "Founder/CEO", "founder_bio": "Born and raised in India. Have previously built and scaled data-driven products for Indian banks and financial institutions - founded Tejas AI with the mission of making financial services more inclusive worldwide.\n\n\n\n\n\n\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gauravluhariwala/", "x_url": "https://x.com/Snorlaxxex", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/15a4d41fd9b509921804347a08de2fbbcc8135b4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 88236, "title": "Tejas AI – AI-Powered Risk Decisioning for BFSI", "tagline": " Banking moves fast. Risk decisioning should too.", "body": "> ### **Hey everyone 👋**\n\nI’m [**Gaurav**](https://www.linkedin.com/in/gauravluhariwala/), founder of **Tejas AI**.\n\n### **TL;DR**\n\nWhen banks grant loans, they make decisions based on their complex, proprietary credit rules. These rules are maintained by humans and, given their complexity, even the smallest changes can take up to six months to implement. This lag alone costs banks billions of dollars each year.\n\nAt Tejas AI, we enable banks to harness the power of AI to update their credit rules and other policy documents. Our platform allows banks to update credit rules faster, more frequently, and on a hyper-local level.\n\nhttps://www.youtube.com/watch?v=pMwLWzL_t0M\n\n## **The Team**\n\n* [**Gaurav**](https://www.linkedin.com/in/gauravluhariwala/) **(CEO):** Led Product & Business at Tartan, scaling revenue 8x in a year by building KYC and data solutions for Indian banks. Previously built and sold a D2C conversion product to 30+ brands—while still in college.\n\n---\n\n## **💥 The Problem**\n\nImagine you’re a risk manager leading a 200-person team at a bank, dealing with:\n\n✅ Millions of loan records scattered across fragmented systems\\\n✅ Constant regulatory changes that impact risk policies\\\n✅ Thousands of credit rules requiring manual interpretation\n\nYour team spends weeks—sometimes months—trying to answer:\n\n> Where are the pockets high risk of loan defaults?”\\\n> “Where all should the bank expand next?\n\nAfter all this effort, you get a handful of incomplete recommendations, leaving you guessing instead of making data-driven decisions.\n\n💸 Banks **lose billions** in missed opportunities, defaults, and penalties.\n\n---\n\n## **🚀 The Solution – Tejas AI**\n\nTejas AI is an AI-powered decision automation platform that gives banks full control over AI-driven risk decisioning—enabling faster decisions, smarter risk management, and scalable growth with confidence.\n\n### **🔹 How It Works**\n\n✅ **Data Ingestion & Policy Input**\n\n![uploaded image](/media/?type=post&id=88236&key=user_uploads/992401/4452a7c7-f0f1-4aee-bbf3-16e64e598383)\n\n* Banks upload loan records, risk models, and existing policies.\n* Teams set business goals—whether they want stricter lending criteria or aggressive expansion.\n\n✅ **Real-Time Impact Analysis & Recommendations**\n\n![uploaded image](/media/?type=post&id=88236&key=user_uploads/992401/b9330bb8-7c48-4ad6-b1cb-798c753e4e21)\n\n* AI identifies optimal lending strategies and highlights risk areas—all with full explainability.\n* Teams see the projected impact on key business metrics before making a decision on each of the provided strategy.\n\n✅ **AI-Powered Policy Exploration & Simulation**\n\n![uploaded image](/media/?type=post&id=88236&key=user_uploads/992401/9de730e3-88aa-49d5-94c1-a5bd0d16df5b)\n\n* Teams run \"What-If\" simulations—testing how changes to risk models will impact loan approvals, risk, and profitability.\n* Users input policy queries in plain English, and AI processes them instantly.\n* The system analyzes borrower behavior, risk factors, and trends to generate optimized policies.\n\n✅ **Automated Policy Execution**\n\n![uploaded image](/media/?type=post&id=88236&key=user_uploads/992401/226c1b55-3622-43b5-b6a8-fc4815445f51)\n\n* Once a policy is finalized, Tejas AI converts it into executable code for their BREs (Business Rule Engines)\n* No manual coding, no integration delays—just instant deployment.\n\n✅ **Continuous Learning & Optimization**\n\n* AI learns from loan performance and market trends to improve recommendations.\n* Banks receive ongoing insights and alerts, keeping risk models adaptive and up-to-date.\n\n---\n\n## **Why This Matters**\n\n⚡ **Faster decisions** – from months to minutes\\\n⚡ **Eliminates manual work** – reducing reliance on large risk teams\\\n⚡ **Hyperlocal lending strategies** – AI-driven, explainable, and data-**backed**\\\n⚡ **Instant deployment** – seamless execution with existing banking systems\n\nWe’re bringing AI-powered decisioning to the banking ecosystem—and we’d love to hear your thoughts! 🚀\n\n### **The Ask – Who We Want to Connect With**\n\nWe’re looking to connect with Fintechs, NBFCs, Banks, and Financial Leaders who want to transform risk decisioning with AI.\n\nPlease introduce us to:\n\n* Risk Managers & Credit Teams\n* Financial Institutions\n\nIf this sounds like you—or if you know someone who’d benefit—let’s talk!\n\n---", "url": "https://www.ycombinator.com/launches/MxA-tejas-ai-ai-powered-risk-decisioning-for-bfsi", "votes": 30, "created_at": "2025-03-04T02:58:44.393Z" } ] }, { "id": 30227, "name": "Caseflood.ai", "slug": "caseflood-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d31f3f49a5edce794bad2e27245bc567169b4853.png", "website": "https://caseflood.ai", "all_locations": "Miami, FL, USA", "long_description": "", "one_liner": "How elite law firms do intake", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1736487685, "tags": [ "B2B", "Sales", "Legal", "Call Center", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/caseflood-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/caseflood-ai.json", "year_founded": 2025, "city": "Miami", "country": "US", "linkedin_url": "https://www.linkedin.com/company/caseflood-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d31f3f49a5edce794bad2e27245bc567169b4853.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/0e1c62e5092f64b1c770e2664570060430fce319.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 2244729, "full_name": "Ethan Hilton", "title": "Founder/CEO", "founder_bio": "How elite law firms do intake | Ex-CMU AI", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ethan-hilton/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/338ef9943557cb41965b0bc661bc1765ca55a22a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87869, "title": "Caseflood.ai: The AI Support Staff For Law Firms", "tagline": "Just like your current support team, but 5X better and 10X cheaper", "body": "# **TL;DR**\n\nWhat if a law firm could double its capacity without hiring a single person? [Caseflood.ai](http://Caseflood.ai) has engineered highly effective AI agents to do phone intake, client follow-up, and keep clients updated throughout their case—giving attorneys dozens of hours back per week.\n\nImagine you’re an attorney, and every day, your calendar fills with paid consultations without you even answering the phone, retainers get signed without you manually chasing leads, and all 300 of your clients stay informed about their cases without you writing a single email. That’s Caseflood.\\\n\\\n\n\n# **👫 The Team**\n\n[**Ethan:**](https://www.linkedin.com/in/ethan-hilton/) Started a legal leads startup at 16, making 5-figure MRR, and learned law firm operations and SMB sales. Went to CMU and studied AI and Business, but couldn’t stop thinking about all the operational inefficiencies in law firms, and eventually dropped out to solve it.\\\n[**Ayushman:**](https://www.linkedin.com/in/ayushman28/) Has been building enterprise AI software for Fortune 100 companies for the past 5 years, was Chief Data Scientist at India’s first unicorn company, and led the fraud detection team for a 30M MAU delivery app. Holds an MS in AI from CMU.\\\n[**Tolen:**](https://www.linkedin.com/in/tolen-schreid/) Cut his teeth in UX when he co-founded a game with 9,000 DAU at age 15, built projects like an accurate astrophysics simulator, and was personally commended by the Indiana Governor at age 17 for his advances in engineering. Went to Purdue and studied computer engineering.\n\n# **❌ The Problem**\n\n**Small firms don’t know how to deal with clients**.\\\n_Or at least, that’s what Ethan saw through visiting \\~80 firms in his previous legal startup._ They couldn’t effectively:\n\n* intake new clients\n* do follow-ups to close clients\n* keep clients updated throughout their cases\n\n**Lawyers are stuck**—if they answer calls, they lose billable hours and time. If they don’t, they lose potential clients.\n\n**Currently**, receptionists, intake specialists, case managers, and personal assistants eliminate those issues, but cost $60k+ per year each and it’s very difficult to find and train good ones (we met one lawyer who went through 3 receptionists in 6 weeks)—and outsourcing is unreliable and still expensive.\n\n**Vicious cycle**: law firms want to spend more on advertising to get more clients, but getting more clients requires a larger support staff, and having a larger support staff means they can’t spend more on advertising. This causes stagnation.\n\n# ✅ **Our Solution: The AI Support Staff For Law Firms**\n\nWe created the all-in-one system that intakes, closes, updates, and manages clients with AI agents that are 5X better and 10X cheaper when benchmarked against humans. It’s like you’re running your law firm, but on easy mode.\n\n**Intake**: Luna, our multilingual AI intake specialist:\n\n* empathetically intakes clients\n* convinces callers to book consultations\n* answers questions\n* forwards callers to the appropriate attorney\n\nHer multimodal features let her take payments, retrieve client data, send information through texts during the call, and simultaneously communicate with other attorneys about what’s happening in her call. She is the most advanced law firm intake system ever created.\n\n**Client communication**: Jess, our client manager:\n\n* interacts with clients via SMS\n* does personalized lead follow-up to get leads to sign a retainer\n* keeps clients updated throughout their case\n* schedules and reschedules meetings\n\nShe does this by integrating into law firm CRMs and case management software. She increases conversion rates with lead follow-up, saves attorneys dozens of hours per week—allowing them to handle more cases—and heavily decreases their operational human costs.\n\n**5X better, 10X cheaper** than human staff—helping law firms reach peak performance.\n\n# **🙏 Our Ask**\n\nKnow a lawyer drowning in calls? Send them this.\\\n(or our website, [Caseflood.ai](http://Caseflood.ai))\n\nAre you a lawyer? We’re already helping law firms across the US streamline their operations—if you run a firm and want **more revenue, less busywork, and happier clients**, [let’s talk](https://cal.com/ethanhilton).\\\n(_use promo code **YCW25** and we’ll waive the $3,000 setup fee)_", "url": "https://www.ycombinator.com/launches/MrF-caseflood-ai-the-ai-support-staff-for-law-firms", "votes": 185, "created_at": "2025-02-20T18:53:49.873Z" } ] }, { "id": 30228, "name": "Weave", "slug": "weave-3", "former_names": [ "WorkWeave" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/983cb16d6906fc1a691557bf84b21313870ce3d0.png", "website": "https://weaveos.com", "all_locations": "San Francisco, CA, USA", "long_description": "Weave builds AI to understand engineering work from prompt to production. We show how much faster AI is making your team, how that impacts quality, and what it's costing. \r\n\r\nWeave then takes that data to route all of your tasks to the most cost efficient model without compromising speed or quality.\r\n\r\nWeave is used by over 500+ orgs from startups to public companies like Robinhood, Posthog and Telnyx.", "one_liner": "AI to understand and then route engineering work", "team_size": 16, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1738683202, "tags": [ "B2B", "Analytics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/weave-3", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/weave-3.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/102726930", "x_url": "https://x.com/workweave", "fb_url": null, "cb_url": null, "github_url": "https://github.com/workweave", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/983cb16d6906fc1a691557bf84b21313870ce3d0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/02a20ecab39b3e32fb41948c9ba4854a6d44ba75.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1938955, "full_name": "Adam Cohen", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO @ Weave. AI to understand engineering work.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adam-b-cohen/", "x_url": "https://x.com/adambcohen93", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b81036de60e71ff2ae36907ba5ee27d10ed07a20.jpg" }, { "user_id": 2077133, "full_name": "Andrew Churchill", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO at Weave. Before that: employee #1 at Causal, where I built the spreadsheet interface, access control system, and AI onboarding engine (among many other things). Before that: CS + math at MIT.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/andrew-d-churchill/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9ea3e1503392c3eb74209b4c96ef19b8ee6b6c33.jpg" } ], "jobs": [ { "id": 74597, "title": "Founding AI Engineer", "url": "https://www.ycombinator.com/companies/weave-3/jobs/SqFnIFE-founding-ai-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $200K", "equity_range": "0.10% - 0.20%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Go", "Python" ] }, { "id": 82153, "title": "Founding Account Executive", "url": "https://www.ycombinator.com/companies/weave-3/jobs/A9QCCoj-founding-account-executive", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$200K - $350K", "equity_range": "0.05% - 0.20%", "experience": "1+ years", "visa": "Will sponsor", "skills": [] }, { "id": 82270, "title": "Founding Product Engineer", "url": "https://www.ycombinator.com/companies/weave-3/jobs/7fPxYmA-founding-product-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $200K", "equity_range": "0.10% - 0.20%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 82747, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/weave-3/jobs/d74yywq-forward-deployed-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$150K - $200K", "equity_range": "0.05% - 0.20%", "experience": "1+ years", "visa": "Will sponsor", "skills": [] }, { "id": 83580, "title": "Founding ML Engineer", "url": "https://www.ycombinator.com/companies/weave-3/jobs/ZPyeXzM-founding-ml-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $200K", "equity_range": "0.20% - 0.80%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 88613, "title": "Founding GTM Engineer", "url": "https://www.ycombinator.com/companies/weave-3/jobs/Cvp3fnW-founding-gtm-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $140K", "equity_range": "0.01% - 0.10%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 89808, "title": "Founding Design Engineer", "url": "https://www.ycombinator.com/companies/weave-3/jobs/bgZcAi9-founding-design-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$140K - $200K", "equity_range": "0.05% - 0.20%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 94021, "title": "Founding Marketer", "url": "https://www.ycombinator.com/companies/weave-3/jobs/M9rKQPd-founding-marketer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$150K - $225K", "equity_range": "0.01% - 0.10%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 112643, "title": "Founding Developer Relations", "url": "https://www.ycombinator.com/companies/weave-3/jobs/EMkLVni-founding-developer-relations", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $225K", "equity_range": "0.05% - 0.15%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 112644, "title": "Founding Business Development Representative", "url": "https://www.ycombinator.com/companies/weave-3/jobs/kIw3GEF-founding-business-development-representative", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $120K", "equity_range": "0.01% - 0.10%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "A YC Startup That Wants to Kill Tokenmaxxing Just Raised $13.5 Million - Business Insider", "url": "https://www.businessinsider.com/weave-funding-tokenmaxxing-startup-y-combinator-ai-coding-spend-developers-2026-7", "date": "Jul 28, 2026" } ], "launches": [ { "id": 87406, "title": "Weave: AI to quantify engineering work", "tagline": "Engineering metrics for the AI era", "body": "tl;dr: Weave uses AI to measure software engineering work in the AI era.\n\nIt shows how much work is being done, how much is done by AI and where you can utilize AI tools to improve your engineering process.\n\n### **The Problem**\n\nHistorically, it’s been impossible to measure engineering so leaders are left flying blind. Engineering teams rely on gut feel or shoddy metrics to try to get a handle on what’s going on and where to improve.\n\nThat's why we built Weave.\n\n### The Solution\n\nhttps://youtu.be/GkZv9-YZTKI\n\nWeave uses AI to measure engineering work. We run LLMs and our own models on every PR and review, analyzing both output and quality. We integrate with all AI coding tools (Claude, Cursor, etc.) and have PR level code attribution to determine what was written by AI, what wasn’t, and what should’ve been.\n\nWe summarize this data and insights in dashboards. Teams like Reducto, Superpower and Laurel use Weave to ship 16% more, just 2 months after using Weave.\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/1938955/966b7f89-b6a1-4aa7-8fbc-4b6cd7bf4fb1)\n\n\n### AI Usage\n\nWe show you who your top AI performers are (so they can share best practices), how the team stacks up against its competitors and the real financial return of your AI investments.\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/1938955/57dfeddd-0c9f-49c1-afea-0454bad3f0ab)\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/1938955/56c25bbf-a333-4bea-9938-93e639687d12)\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/1938955/c2672d3e-b073-45d1-95d8-41578f1a829d)\n\n### AI Insights\n\nWe keep you up to date with the best practices and tools used by the most forward-thinking AI teams.\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/1938955/d438efd0-4a9b-41a2-a4ae-1d506e800595)\n\n### Measuring Code Output\n\nThis isn't a line of code calculator, this is an actual estimate of our key metric, a Weave Hour: \"How long would it take an experienced engineer to make this change?\"\n\nWe can also tell you how much time each engineer is spending on code review and how helpful their reviews are:\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/1938955/581a3928-2eb3-4e98-a0d4-e8ae64c6cd15)\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/1938955/ede5f44c-ca77-4d4c-ab23-12d7c3c6df7f)\n\n### Individual\n\nSee output across individuals to identify top performers, see how new hires are ramping and if anyone is blocked.\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/1938955/65664616-047f-4ce7-829c-b40839f34d09)\n\n### **Our Story**\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/2077133/d1883e57-85cd-4616-a456-3370a1a0b664)\n\nAdam’s background is in operations and sales. He led organizations of 100+ people and created an internal tool to measure performance and help individuals identify their weak spots. This is common practice in revenue teams and he wants to bring it to engineering.\n\nAndrew was employee #1 at Causal. He saw firsthand how subjective engineering management is and how hard it is to scale a high-performing engineering team.\n\nWe met at Causal, where Adam was hired to run the sales and customer success function. We got to talking about the big difference between how our two departments worked, and the rest is history.\n\n**Early Use Cases**\n\n* Reducto, Superpower, and Posthog have used Weave to see increases in output correlated with AI usage (16% on average)\n* A manager noticed that code review quality has the highest correlation to output. He reset code review standards and team output went up by 15%\n* Smaller engineering teams (\\~5 engineers) are using the platform daily in stand-ups\n\n**Our Ask**\n\n* Are you running an engineering team of any size? You can connect your repo to Weave and get started in \\~30 seconds [**here**](https://workweave.dev/).\n* Do you know any engineering leaders at mid-market or enterprise companies who might find this valuable? We'd love an intro if you do.\n* Follow us on [**LinkedIn**](https://www.linkedin.com/company/weave-dev) and X!", "url": "https://www.ycombinator.com/launches/Mjm-weave-ai-to-quantify-engineering-work", "votes": 35, "created_at": "2025-02-04T17:25:21.748Z" } ] }, { "id": 30229, "name": "Ladder", "slug": "ladderai", "former_names": [ "MAIVE (Manufacturing AI Vision Engine)", "Maive" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ef4fb1ec65991d77ddde754653bbc0aac091de49.png", "website": "https://ladderai.com", "all_locations": "San Francisco, CA, USA", "long_description": "Ladder is an AI personal assistant for in-home sales. It takes notes on the in-person conversation and helps reps close more deals, improve with each pitch, and deliver and generate more leads.", "one_liner": "AI personal assistant for in-home sales", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1740103642, "tags": [ "Sales", "Sales Enablement", "Home Services", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "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/ladderai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/ladderai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ladder-sales/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/maive-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ef4fb1ec65991d77ddde754653bbc0aac091de49.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/585d61a8ee5dc34c8416b12c7813bf698116daa9.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4f1d41ed4bd38638d697954292c83f4f507f3dc5.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 2345302, "full_name": "David Tondreau", "title": "Founder/CEO", "founder_bio": "David is the co-founder and CEO of Maive.\n\nHe started his career as a manufacturing engineer at Rolls-Royce where he once uncovered quality issues due to missing paperwork that stopped production for a week. After obtaining a Masters in Engineering from UC Berkeley, David spent five years at Dexterity AI, a unicorn robotics startup. He began as a software engineer and ended as a senior manager leading product engineering.\n\nDavid holds 15 patents spanning robotics and aerospace engineering.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/david-tondreau/", "x_url": "https://x.com/dtond_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/377edb2eb54840075b45a85e3ba5653e6f54e9f2.jpg" }, { "user_id": 833145, "full_name": "Will Cray", "title": "Founder/President", "founder_bio": "Will is the co-founder and President of Ladder.\n\nPreviously, Will was the Machine Learning and Computer Vision tech lead at Dexterity, a unicorn robotics company. Before Dexterity, Will founded his own computer vision and machine learning startup while pursuing a Master’s in Machine Learning at UT Austin. He started his career at Intel as a software engineer on their autonomous driving platform.\n\nAt 13, Will founded a business repairing broken Xbox 360’s and selling them on eBay.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/willcray/", "x_url": "https://x.com/willcloudcray", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2fdb4087948afd44093fa92333e9f80b4fa6e29a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 119329, "title": "Ladder: The Personal AI Assistant for Home Services Sales Reps", "tagline": "Ladder helps home services sales reps be successful", "body": "Hey everyone! We're Will and David, co-founders of Ladder.\n\n**TL;DR:** Ladder is the first AI personal assistant for in-home sales reps. It works for reps instead of monitoring them.\n\n**The problem**\\\nHome services companies leave millions on the table every year because their reps are on their own in the field. No one is there to listen and help them improve. Most sales AI feels like Big Brother, so reps don't use it.\n\n**The solution**\\\nLadder works for reps. Reps love it because it helps them:\n\n* Earn more commission.\n* Handle busy work.\n* Generate more referrals.\n\nWe price based on outcomes, so we only get paid when reps use ladder to sell a project. \n\nLeading home services companies already trust Ladder across more than $100M in jobs.\n\n**Our ask**\\\nDo you know someone who runs sales at a home services company? We'd love an intro. Get in touch at [hey@ladderai.com](mailto:hey@ladderai.com).\n\n![uploaded image](/media/?type=post&id=119329&key=user_uploads/833145/05e6249a-fa16-4e0d-996a-0befe44fea04)\n\n", "url": "https://www.ycombinator.com/launches/V2f-ladder-the-personal-ai-assistant-for-home-services-sales-reps", "votes": 2, "created_at": "2026-10-14T14:42:34.139Z" } ] }, { "id": 30230, "name": "SalesPatriot", "slug": "salespatriot", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c55eb595eb8712daeb02c69afcc09007bcb63c4f.png", "website": "https://www.salespatriot.com/", "all_locations": "San Francisco, CA, USA", "long_description": "SalesPatriot deploys supply chain superintelligence into distribution, original equipment manufacturing, and procurement. By embedding AI in the teams that run quote to cash workflows, we turn email chains, ERPs, websites, spreadsheets, and portals into a unified transactional layer, so critical parts reach the production line faster.\r\n\r\nThe West’s advantage depends on supply chains that work. We build and deploy the software that makes them work.", "one_liner": "Supply chain superintelligence for distribution and procurement", "team_size": 15, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1741557589, "tags": [ "SaaS", "B2B", "Sales", "AI", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/salespatriot", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/salespatriot.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/salespatriot", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c55eb595eb8712daeb02c69afcc09007bcb63c4f.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": 2378685, "full_name": "Nelson Ray", "title": "Founder/CEO", "founder_bio": "Helping manufacturers win DoD RFQ solicitations. Full-stack & Sales", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nelson-ray/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6805e6295767b22b42a8048d04049c0293857de3.jpg" }, { "user_id": 2376143, "full_name": "Ben Rhodes-Kropf", "title": "Founder/CTO", "founder_bio": "Ben, Co-Founder & CTO, started programming at the age of nine. Before starting SalesPatriot, he researched quantization techniques of LLMs at MIT’s Han Lab, and started his first company Trace. He also applied his AI skills to synthetic data research he pursued in collaboration with DARPA. Ben's grandfather and great grandfather were both Air Force pilots. He hopes to uphold their legacy by helping today’s defense efforts through SalesPatriot.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ben-rhodes-kropf-26b617217/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c236b3e4a991e2c735caf798182ac465e052cd88.jpg" }, { "user_id": 2228575, "full_name": "Maciej Szymczyk", "title": "Founder", "founder_bio": "Maciej grew up in Poland, graduating with a maximum score (45/45) in the International Baccalaureate Diploma Program. He then came to Berkeley on a full scholarship from Rafal Brzoska Foundation to study Electrical Engineering & Computer Science, Business Administration, and Mathematics through the Management, Entrepreneurship, & Technology program.\n\nBefore college, he did ML research at the Human Brain Project and worked on InPost's Data & AI algorithms.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/maciej-szymczyk-74392b1b8", "x_url": "https://x.com/szymczyk06", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/41b4446c5626fa911f262f72ccf3df27e881ca87.jpg" } ], "jobs": [ { "id": 84628, "title": "Senior Software Engineer (Warsaw)", "url": "https://www.ycombinator.com/companies/salespatriot/jobs/qq3lU2s-senior-software-engineer-warsaw", "location": "Warsaw Office", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $120K", "equity_range": "0.01% - 0.02%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 91296, "title": "Full Stack Engineer (San Francisco)", "url": "https://www.ycombinator.com/companies/salespatriot/jobs/dF4EdOK-full-stack-engineer-san-francisco", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $200K", "equity_range": "0.15% - 0.20%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 95429, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/salespatriot/jobs/M46X6YX-forward-deployed-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $135K", "equity_range": "0.05% - 0.10%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 101687, "title": "Business Development Representative", "url": "https://www.ycombinator.com/companies/salespatriot/jobs/pUPuVf2-business-development-representative", "location": "Hybrid", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$80K - $250K", "equity_range": "0.01% - 0.02%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 109776, "title": "Account Executive", "url": "https://www.ycombinator.com/companies/salespatriot/jobs/yYqGTGD-account-executive", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$70K - 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$150K", "equity_range": "0.02% - 0.05%", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [ { "title": "We've raised $5M and we're hiring", "url": "https://salespatriot.com/blog/5-million-seed-funding", "date": "Oct 28, 2025" } ], "launches": [] }, { "id": 30231, "name": "Paragon", "slug": "deployparagon", "former_names": [ "Sift", "Serix", "Sift Dev", "Sift" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/79ffca3b97639c7dbc3864b40c1a8a01d1691675.png", "website": "https://www.runparagon.com", "all_locations": "San Francisco, CA, USA", "long_description": "Paragon is the AI growth engine for distributors and manufacturers, freeing up staff and growing revenue on autopilot.", "one_liner": "The AI Growth Engine for Industrials", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1737662674, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/deployparagon", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/deployparagon.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/deployparagon/", "x_url": "https://x.com/deployparagon", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/79ffca3b97639c7dbc3864b40c1a8a01d1691675.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1522101, "full_name": "Ishir Vaidyanath", "title": "Founder/CTO", "founder_bio": "Building AI for the heart of America", "is_active": true, "linkedin_url": "https://linkedin.com/in/ishirv", "x_url": "https://x.com/aceshir", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/63a9a3e95530b778a2ed85ec0bb19d03b7fef948.jpg" }, { "user_id": 956884, "full_name": "Kasyap Chakra", "title": "Founder", "founder_bio": "Building Paragon to bring modern AI to the most important businesses in America.", "is_active": true, "linkedin_url": "https://linkedin.com/in/kasyap-chakravadhanula-357b41132", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f2291d802e8439800d86c4b2e3b91eff9d7a1818.jpg" } ], "jobs": [ { "id": 94139, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/deployparagon/jobs/MqAO0SV-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$50K - $200K", "equity_range": "0.10% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 94163, "title": "Founding Sales", "url": "https://www.ycombinator.com/companies/deployparagon/jobs/AmShWrt-founding-sales", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$50K - $200K", "equity_range": "0.10% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 92115, "title": "Paragon - Free money for distributors and manufacturers", "tagline": "The AI Growth Engine for Industrials", "body": "### **TL;DR**\n\nDistributors and high volume manufacturers are ignoring money:\n\n* Thousands of existing smaller customers get 0 follow-up or outreach from reps\n* Inside sales reps are doing data entry instead of engaging with customers\n * Since they’re so backlogged, they often take a long time to respond to quotes, which drags down win-rate\n\nWhy? Humans can’t be everywhere at once, and justifiably only focus on the biggest few accounts.\n\nWe fix these problems. Customers use us to process hundreds of thousands of quotes and sales orders, as well as automatically nurture smaller accounts.\n\nBook a demo here:\n\nhttps://deployparagon.com/book-demo\n\nOur launch video: \\\nhttps://youtu.be/JbbfPPht02o\n\n### **The problem**\n\nHigh-volume distributors and manufacturers are leaving money on the table every single day:\n\n* Product quotes are sent out, but never followed up on\n* Great customers churn without a single conversation\n* High-value customers buy a fraction of what they could be purchasing if nurtured\n* and many more…\n\nWhy?\\\nInside sales people who do these for larger accounts are backlogged by manual order entry and quoting work. And the smaller accounts? There’s just too many. Thousands.\n\n**Paragon solves this.**\n\nHere’s how:\n\n**Paragon Forge (AI Revenue Engine):** Our AI figures out exactly who to reach and what to say, using your ERP data and your brand’s own voice. It takes care of proactive customer engagement, growing revenue on autopilot while your reps focus on the biggest accounts.\n\n**Paragon Surge (Quoting/Order Entry):** An easy-to-use Outlook add-in grabs RFQ and PO information directly from emails, spreadsheets, PDFs—whatever your customers send. Your reps simply review and submit without ever leaving their inbox.\n\nIn just weeks, customers see clear measurable results:\n\n* 5 hours more each day spent with customers\n* 90%+ reduction in quote response time.\n* Zero missed follow-ups on quotes\n* Higher re-order rates via personalized outreach re-engaging dormant customers\n* Higher retention rates via early alerts and outreach for churning accounts.\n* Revenue growth via a consistent rhythm of quality outbound messaging\n\n**Ready to stop leaving money on the table?** \\\n**Let’s connect:** https://deployparagon.com/book-demo", "url": "https://www.ycombinator.com/launches/Nxj-paragon-free-money-for-distributors-and-manufacturers", "votes": 118, "created_at": "2025-07-14T13:49:04.488Z" }, { "id": 90296, "title": "Sift Flow: The World's Most Robust Conversational AI Support Agent", "tagline": "Don’t compromise on customer experience", "body": "Hey everyone, we're Ishir and Kaushik, the founders of Sift.\n\nWe initially built a root-cause analysis tool using log data but quickly realized customer interactions were essential for understanding anomalies. So, we created a system to analyze and evaluate every customer support interaction: human or AI.\n\n### ❌ The Problem\n\n_Most companies struggle to pinpoint gaps in their customer support.._\n\nCurrent solutions typically require heavy engineering investment, manual oversight, and still miss critical customer friction points. And attempts to automate frequently produce costly mistakes.\n\n### ✅ The Solution\n\nSift Flow is state-of-the-art conversational AI for customer support and anomaly detection. Our system evaluates every support interaction across all channels, precisely measuring customer frustration, churn risks, and compliance issues. We've developed the industry's most robust AI stress-testing suite, rigorously evaluating agents against adversarial prompts, policy fuzzing, and complex edge cases—ensuring over 99% accuracy before deployment.\n\nSift Flow is seamless to implement, with our white-glove service requiring minimal engineering effort. We handle the ingestion, analysis, and automation end-to-end, delivering immediate value without burdening your technical staff.\n\n![uploaded image](/media/?type=post&id=90296&key=user_uploads/1522101/3bcf694f-f266-4cf5-8951-ddfa1eb1a4bc)\n\n### 🧩 Team\n\nOur founding team brings deep machine learning and infrastructure experience from IMC Trading, DataDog, Splunk, and the University of Pennsylvania.\n\n### 🙋 Our Ask\n\nSift Flow is already trusted by leading software companies integrating customer support with real-time log analysis, and we're rapidly expanding into financial services, manufacturing, and other industries.", "url": "https://www.ycombinator.com/launches/NUO-sift-flow-the-world-s-most-robust-conversational-ai-support-agent", "votes": 15, "created_at": "2025-05-12T16:01:43.891Z" }, { "id": 88040, "title": "Sift: The Anti-Logging Platform", "tagline": "Sift is the AI-driven engine transforming chaotic streams of observability data into valuable intelligence. Transform chaos into clarity. Leave the logs behind.", "body": "**Sift** transforms your logs from overwhelming chaos to clear, powerful insights. Our platform profiles, analyzes, and routes your logging data, intelligently eliminating noise and highlighting critical data. Continuously learning and adapting, Sift evolves with your data to keep you ahead of every challenge.\n\n\n\n## **How We Got Here**\n\nWhile seeing band aid logging products launched at both Datadog and Splunk, we witnessed firsthand how traditional logging tools overwhelm developers with data—burying critical insights under mountains of noise. Teams waste countless hours sifting through logs, missing the signals that matter most. Meanwhile, costs escalate as volumes grow, and early decisions limit vendor flexibility. We realized the problem wasn't just about collecting logs but in really understanding them.\n\nFrustrated by these limitations, our mission for Sift became clear: create an anti-logging platform that gives developers control over their data while unlocking its true potential.\n\n## **Sift through your data, intelligently**\n\n\n\nSift is designed to flip the script on traditional logging. We’re not here to simply collect logs; we’re here to transform them into actionable intelligence that empowers developers and drives smarter decision-making.\n\n1. **Profile, analyze, and continuously optimize** your logging data to find meaningful patterns without digging through mountains of information.\n2. **Send your logs** exactly where they need to go, integrating right into your existing tooling\n3. **Format and manage** your log volume precisely to focus on the information that matters most.\n\n## **How Sift Works**\n\n**Quick Setup:** Launch Sift with minimal configuration—start sending data in minutes.\n\n**Seamless Integration:** Connect effortlessly with your existing logging infrastructure, with support for over 40 different integrations\n\n**Dynamic Adaptation:** Our system continuously learns from your logs, optimizing rules and suggesting smart routing—like sending low-value logs to cost-effective storage solutions.\n\n## **Reach out to the team**\n\n[founders@runsift.com](mailto:founders@trysift.dev)\n\n![uploaded image](/media/?type=post&id=88040&key=user_uploads/1036135/00bd588b-9f2c-4252-988b-b6530123283f)\n\nIshir (CEO): ex-Splunk engineering, ex-IMC Trading, ex-Penn M&T\n\nKaushik (CTO): ex-Datadog PM, ex-EY Parthenon, previous founder & hackathon addict, 2x early engineer, ex-Penn M&T", "url": "https://www.ycombinator.com/launches/Mu0-sift-the-anti-logging-platform", "votes": 464, "created_at": "2025-02-25T22:49:34.958Z" } ] }, { "id": 30232, "name": "careCycle", "slug": "carecycle", "former_names": [ "Nodable Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8d55690f14f3865aa94fd0c4bd6493abb750af90.png", "website": "https://www.careCycle.ai", "all_locations": "San Francisco, CA, USA", "long_description": "careCycle is an AI workforce for medicare agencies and FMOs - helping leading agencies achieve 5x higher conversions, 37% better retention, and saving thousands of agent hours.\r\n\r\nWe're transforming how Medicare agencies handle member relationships with teams of voice AI agents. We're solving the industry's biggest challenge: 50% annual member churn caused by poor post-enrollment engagement.\r\n\r\nOur multi-agent AI teams work together to handle the entire customer journey - from initial contact through enrollment and ongoing care. When a lead comes in after hours, one AI agent answers and schedules a callback, another calls at the perfect time, a third captures qualifying information, and a fourth handles the warm transfer to a licensed agent. This approach helped a leading FMO write over $2M in renewals during AEP 2024 while reducing agent talk time by 20% per sale.\r\n\r\nWe've pioneered a purpose-built solution for Medicare's unique compliance requirements. Unlike generic AI platforms, our system features built-in HIPAA/CMS compliance, real-time data structuring, and seamless CRM integration. This enables agencies of all sizes to deliver enterprise-grade member care without massive infrastructure investments.\r\n\r\nEarly metrics show the power of our approach:\r\n\r\n- 5x increase in after-hours conversion rates\r\n- 37% improvement in 90-day retention\r\n- 3,000+ agent hours saved in a single AEP\r\n- $2M+ in additional renewals during AEP 2024\r\n\r\nThe Medicare Advantage market represents a massive opportunity, with over $360B in annual premiums and growing 10% year over year. By solving the member retention challenge, we're positioning ourselves to capture significant value by transforming the member care experience for beneficiaries.", "one_liner": "Voice AI teams for medicare agencies.", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1740261060, "tags": [ "Health Insurance", "Telecommunications", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "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/carecycle", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/carecycle.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/carecycle-yc-w25", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/care-cycle", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8d55690f14f3865aa94fd0c4bd6493abb750af90.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/1b8bd345ff5810b9be022e3139b3f6c9e6046237.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/3048994a2ce8552a3403628ca2facf6a9c850cd9.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/c45ca6499202cf5641dae5853d68b5bcbc83fa86.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 2032692, "full_name": "Alex Doonanco", "title": "Founder/CEO", "founder_bio": "Building careCycle, voice AI teams for medicare agencies. Previously grew horizontal voice AI company from $0-$1M ARR in 6 months.\n\nEvery great discovery starts with the search for a better explanation.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexdoonanco", "x_url": "https://x.com/AlexDoonanco", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bd0f912ae5c6d054416a6c05311ccebf3d5eddad.jpg" }, { "user_id": 458762, "full_name": "Evan Roubekas", "title": "Founder/CTO", "founder_bio": "Software Engineering graduate from UVic, specializing in AI orchestration to optimize Medicare customer experiences through coordinated automated touchpoints.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/evanroubekas/", "x_url": "https://twitter.com/0xevangelos", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ada66005da01c2fb1a632513ba1438d9e5852c32.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 88449, "title": "careCycle: Voice AI teams for Medicare Agencies", "tagline": "Providing personalized member care to 33M+ seniors on medicare advantage & supplement plans", "body": "**TL;DR** careCycle provides AI voice teams that handle the entire Medicare member journey, helping agencies greet members by first name 24/7, and provide a space to feel heard.\n\nIn the process, we’re tackling the industry’s single biggest problem: churn. Our early customers are achieving 37% better retention while saving thousands of agent hours.\n\n![uploaded image](/media/?type=post&id=88449&key=user_uploads/2032692/c5b3b836-cf5f-41da-ab78-e560a6cb9949)\n\n\n\n## Medicare Agencies are **Bleeding**, and Seniors are Left in the Dark.\n\nMedicare agencies face a devastating 50% annual member churn rate due to poor post-enrollment engagement. Licensed agents are forced to chase new sales instead of nurturing existing relationships, creating a vicious cycle that hurts both agencies and seniors.\n\nIt’s so bad that agencies we’ve spoken with actually **_lost money_** after selling thousands of policies in Q4 2024.\n\n## The Solution: Autonomous Member Care Teams that Make Seniors Feel Heard.\n\nWe've built multi-agent AI teams that work together across the full customer journey:\n\n**Pre-Screening:**\n\nBecause of increasingly aggressive marketing angles used to generate inbound calls, agencies drop hundred or thousands of inbound calls each day.\n\nOn top of this, agents spend previous time speaking with beneficiaries who might not be eligible or interested in their plan, who are at risk of being sold something they will cancel anyway.\n\ncareCycle takes calls 24/7, pre-screening callers, and seamlessly warm transferring to available licensed agents to assist them. If nobody’s available, we simply schedule an appointment that another AI team member automatically fulfills.\n\n**Post-Enrollment:**\n\nOur AI teams play a critical roll in keeping customers up to date on their policy application; something a shocking number of agencies don't have time to do.\n\nIn the process, we'll provide them a space to feel heard and get any questions about their new plan answered.\n\nAfter verifying the answer with a human-in-the-loop system, we deliver the message through another personalized and HIPAA complaint touchpoint.\n\n## Early Results\n\nSince launching in Q4 2024, careCycle has:\n\n* Helped a leading FMO write over $2M in renewals\n* Talked with 50,000+ medicare beneficiaries\n* Saved 4,000+ agent hours\n* Achieved 5x increase in after-hours conversion rates\n* Improved 90-day retention by 37%\n\n## Why Now?\n\nBefore founding careCycle, I led GTM at AI Rudder, a leading horizontal voice AI company.\n\nI saw firsthand how generic AI solutions failed in highly regulated industries like Medicare. agencies need purpose-built solutions that maintain strict compliance while delivering exceptional customer experiences.\n\n_Beyond expanding bandwidth for agencies, this technology allows us to **invent new touch points** previously unimaginable._\n\n## Our Ask\n\nIf you know any:\n\n* Medicare agency owners or executives\n* FMOs looking to provide better tooling for their agents\n* Healthcare compliance officers exploring AI solutions\n* Insurance industry professionals interested in contact center automation\n\nPlease reach out at [alex@carecycle.ai](mailto:alex@carecycle.ai) or book time [here](https://calendly.com/carecycle/30min).", "url": "https://www.ycombinator.com/launches/N0b-carecycle-voice-ai-teams-for-medicare-agencies", "votes": 26, "created_at": "2025-03-11T00:48:01.554Z" } ] }, { "id": 30233, "name": "Inversion Semiconductor", "slug": "inversion-semiconductor", "former_names": [ "Axiom Semiconductor Inc.", "Axiom Semiconductor" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f8f65cc20ede5375e5fb2b79c8dcf6d37b04f4c2.png", "website": "https://www.inversionsemi.com", "all_locations": "San Francisco, CA, USA", "long_description": "Inversion Semiconductor is developing the next-generation chip fabrication machine, to create the most powerful chips 15x faster. Our vision is to reshore advanced chip fabrication capabilities in the West.\r\n\r\nWe're building a lithography machine. Lithography uses light to pattern circuit features on silicon. We're scaling transistors to their physical limits by shrinking particle accelerators 1000x, to create a high power light source. \r\n\r\nUsing our light source we will double transistor density for a given numerical aperture and 3x throughput.", "one_liner": "Manufacturing the most powerful chips, 15x faster", "team_size": 9, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1740019402, "tags": [ "Hardware", "Manufacturing", "Semiconductors" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "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/inversion-semiconductor", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/inversion-semiconductor.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/inversion-semiconductor/", "x_url": "https://x.com/inversionsemi", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f8f65cc20ede5375e5fb2b79c8dcf6d37b04f4c2.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": 1787486, "full_name": "Rohan Karthik", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of Inversion Semiconductor (W25), developing next-gen semiconductor lithography machines. \nMasters in Mechanical Engineering from Imperial College London & Royal Academy of Engineering awardee. \nPreviously automated chip design at Arm and led the Karman Space Programme to build record-breaking high power rockets. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rohan-karthik-60a0b61b7/", "x_url": "https://x.com/rohankarthik_?s=11&t=VBdqSXL_9iUGm2d8V2oKBg", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/640f0673236b8d2a684219c698df989fd02754dc.jpg" }, { "user_id": 2326493, "full_name": "Daniel Vega", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO of Inversion Semiconductor (W25), developing next-gen lithography machines. \nMasters in Applied Physics from University College London, with a focus on applications of particle physics. \nPreviously created novel ML models for stability optimization of tabletop particle accelerators at CERN, and developed particle accelerators for cancer treatment at Lumitron Technologies\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/daniel-r-vega/", "x_url": "https://twitter.com/daniel_r_vega", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/95a252674e588a5c32406c68d263bbce51435bf5.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87848, "title": "Inversion Semiconductor – Scaling Chips to their Physical Limits", "tagline": "Manufacturing the most powerful chips 15x faster", "body": "# Scaling Chips to their Physical Limits\n\nImagine a chip fabrication machine that produces the most powerful chips 15x faster.\n\nSeven months ago, Rohan was automating chip design at Arm while finishing his master’s in Mechanical Engineering at Imperial College London. Meanwhile, Daniel was creating novel ML models for stability optimization of tabletop particle accelerators at CERN. All while completing his master’s in Applied Physics at University College London.\n\nWe realized that we could build a novel lithography machine, to truly kill Moore’s Law. And we could do this by shrinking particle accelerators 1000x, to build a high power light source driven by laser wakefield acceleration (LWFA). \n\nHere’s a concept video of how our lithography machine will work:\n\n\n\n# Background\n\nLithography is the process of using light to pattern circuit features on silicon. It’s the most important step in making chips. \n\nWith a monopoly on advanced lithography machines, ASML produces 13.5 nm “EUV” light by blasting tin droplets and directing the light on to a wafer using mirrors. However, advanced chips constantly demand finer circuit features. To improve resolution, ASML enlarges its mirrors, a trade-off that significantly increases system complexity and cost.\n\nOver the next decade ASML targets 1 kW of EUV light out, with 1 MW of power in. We aim to achieve 10 kW of even shorter-wavelength light. This will also enable our light source to power multiple lithography machines, unlocking billions in annual revenue gains for fabs.\n\n# Currently\n\nWe aim to generate the required high power light using “tabletop” particle accelerators capable of accelerating electrons to extremely high energies over centimeters, rather than the kilometers needed for large accelerators at CERN and SLAC. We’ll do this using plasma waves (wakefields) driven by a high power laser. \n\nSo far we have:\n\n* Set-up a mini laser lab in the basement of the YC office, to test our novel laser stability algorithms\n* Developed initial LWFA prototypes to generate small-wavelength light.\n\nWe’ve secured a strategic partnership with the world’s leading research group for LWFA development – Lawrence Berkeley National Lab and the Berkeley Laser Lab Accelerator (BELLA). Our collaboration, dubbed the Laser Undulator eXperiment (LUX) or BELLA-LUX (Beautiful Light), is initially focused on improving laser stability and testing light generation using our prototypes.\n\n![uploaded image](/media/?type=post&id=87848&key=user_uploads/1787486/4977528a-59c0-47a9-944f-0cf3211ffa2c)\n\n![uploaded image](/media/?type=post&id=87848&key=user_uploads/1787486/757f3d74-9e83-4864-bd8b-6d105de5d7a5)\n\n# Next Steps\n\nDuring the BELLA-LUX collaboration, we aim to build a high power, tunable light source – STARLIGHT. We are currently exploring early applications to accelerate technical development towards lithography. Companies like Tesla and Applied Materials are interested in potential applications for industrial x-ray imaging and semiconductor mask inspection.\n\nOur goal is to generate 1 kW of soft x-ray light (20nm – 6 nm). If successful, this milestone will pave the way for a user facility, where booking beam time will be as simple as reserving a SpaceX launch—using your credit card. \n\nSimultaneously, we will develop novel mirror systems to reflect and focus generated x-ray light. This will allow us to demonstrate silicon patterning with our initial LITH-0 system, powered by STARLIGHT.\n\n# Asks\n\nIf you know incredible plasma / particle accelerator scientists or lithography engineers, we’d love an introduction.\n\nIntros to VPs / C-Suite at semiconductor manufacturing companies\n\nGot spare laser system parts (optics, gratings, actuators etc)? We’ll take them.\n\n[Lab snacks](https://neil.computer/notes/thorlabs-lab-snacks/)\n\n![uploaded image](/media/?type=post&id=87848&key=user_uploads/1787486/f67b95de-7fd7-46e5-9b82-f26ad0b04ade)\n\n![uploaded image](/media/?type=post&id=87848&key=user_uploads/1787486/11a71540-2837-40cd-a44d-937e09753418)\n\n", "url": "https://www.ycombinator.com/launches/Mqu-inversion-semiconductor-scaling-chips-to-their-physical-limits", "votes": 54, "created_at": "2025-02-20T03:24:56.576Z" } ] }, { "id": 30234, "name": "Adam", "slug": "adam", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cfc860ae54b7e3a7f3fdaf19550aa06087041ede.png", "website": "https://adam.new/", "all_locations": "San Francisco, CA, USA", "long_description": "Applied AI lab building end-to-end agents for mechanical design.", "one_liner": "AI Powered CAD", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1737056992, "tags": [ "Hardware", "Design", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/adam", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/adam.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/adamcad/", "x_url": "https://x.com/adamdotnew", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Adam-CAD", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cfc860ae54b7e3a7f3fdaf19550aa06087041ede.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": 1626462, "full_name": "Zach Dive", "title": "Founder/CEO", "founder_bio": "You can just make things. Previously AI Research & Engineering @Adept and Design @Berkeley. \n\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/zacharydive", "x_url": "https://x.com/zachdive", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/903f1eaa387d6bf875a1e88928ba664f98623c40.jpg" }, { "user_id": 1806102, "full_name": "Aaron Li", "title": "Founder", "founder_bio": "CPO & Co-Founder @Adam. Shipped designs to millions of people @VIVO | Previously @BMW, NIO, and Design @Berkeley. \n\nBuilding the future of CAD and manufacturing.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aaronlico/", "x_url": "https://x.com/aaronhetengli", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/09cc03343ab252b20f3cf1ca5a78368c6275cd2b.jpg" } ], "jobs": [ { "id": 76418, "title": "Residency (Summer 2027)", "url": "https://www.ycombinator.com/companies/adam/jobs/VOGhQkx-residency-summer-2027", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$6.7K - $10K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 80511, "title": "MTS - Founding Research Engineer", "url": "https://www.ycombinator.com/companies/adam/jobs/olALosA-mts-founding-research-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$200K - $300K", "equity_range": "1.00% - 2.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Python", "Torch/PyTorch", "Machine Learning", "Deep Learning", "Evals" ] }, { "id": 80561, "title": "MTS - Founding Engineer", "url": "https://www.ycombinator.com/companies/adam/jobs/q6td4uk-mts-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $300K", "equity_range": "1.00% - 2.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "JavaScript", "Python", "React", "TypeScript", "SQL", "Software Architecture", "Next.js" ] }, { "id": 106707, "title": "MTS - Forward Deployed Mechanical Engineer", "url": "https://www.ycombinator.com/companies/adam/jobs/cZ7rfHL-mts-forward-deployed-mechanical-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $250K", "equity_range": "1.00% - 2.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 87143, "title": "Adam - AI Co-Pilot for CAD ⚙️⚙", "tagline": "Adam helps engineers 10x their CAD workflows with simple AI prompts", "body": "Hey YC! 👋\\\n\\\nWe're [Aaron](https://x.com/aaronhetengli), [Avi](https://x.com/avimakesrobots) and [Zach](https://x.com/zachdive) from Adam and we are building AI Powered CAD for mechanical design. Our first launch is our Text to CAD editor. Some of our early users have called it the **Vercel V0 for CAD**. You simply put a prompt in on our web-app and we generate a parametric CAD file for you. Check out our fun promo vid 👇.\\\n\\\nhttps://youtu.be/Pw6KGqgygqw\n\n**TL;DR:**\n\n* 🔧 Use our **Text-to-CAD** model to accelerate your mechanical design workflows\n* 🪛 Adjust the **Parametric CAD** with our dynamically generated sliders\n* 🛠 Export and **ready to 3D print in seconds**\n\n### **Problem**\n\n**Slow**\\\nLegacy CAD software is weighed down by antiquated UX and outdated geometry rendering from the early 90s.\n\n**Repetitive** \\\nMechanical engineers and design professionals spend hours everyday restarting projects due to rigid workflows. The current tools are clunky and slow to iterate in meaning the iteration process is greatly slowed down.\n\n**Demands significant expertise**\\\nThe complexity of CAD tools hinders rapid prototyping and wider adoption.\n\n### \n\n### **Solution**\n\nDesign professionals spend hours every week converting ideas into CAD design and its complexity often creates barriers for both professionals and newcomers. The Adam web-app provides a frictionless experience to start rapidly prototyping and shipping out great ideas.\n\n**We support two different modes of interaction**\n\n_1. Conversational design through chat_\n\n![uploaded image](/media/?type=post&id=87143&key=user_uploads/1626462/6c4b0839-2b67-4e55-b857-ae6e11f20703)\n\n_2. Parametric edits through sliders_\n\n![uploaded image](/media/?type=post&id=87143&key=user_uploads/1626462/e97bde5c-d49a-4be9-b1b0-4e0fc329a5fa)\n\n### **One more thing..**\n\nWe are building an Adam Co-Pilot that integrates seamlessly within professional-grade CAD workflows. Think of this as the **Cursor for CAD.** It takes in the context of your CAD environment and is able to make directed edits for you. Check out an early prototype (more on this to come…)!\\\n\\\nhttps://www.loom.com/share/7c945465a21e4fb7abfd557299be4925\n\n### **We are on a mission to remove the friction between engineering and reality so more great ideas come into existence.**\n\n👉 If you resonate, please reach out to us here: [founders@adamcad.com](mailto:founders@adamcad.com)\n\n<3\\\nCheck out our website: [www.adamcad.com](https://www.adamcad.com/)\n\n![uploaded image](/media/?type=post&id=87143&key=user_uploads/1626462/d50e9f22-e38f-4a6d-b0b7-eea7dedcba0a)\n\n", "url": "https://www.ycombinator.com/launches/MfX-adam-ai-co-pilot-for-cad", "votes": 212, "created_at": "2025-01-24T18:32:15.271Z" } ] }, { "id": 30235, "name": "Rally", "slug": "rally-3", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0c91984bb2308087803ae4f30c937c29f1d60e46.png", "website": "https://www.getrally.com/", "all_locations": "Berlin, Berlin, Germany", "long_description": "Rally is a financial platform for businesses that operate vehicle fleets. We're starting in Europe, where over €1 trillion is spent annually on fuel, charging, maintenance, and other fleet expenses - most of it still running on legacy networks built in the 1960s.\r\n\r\nWe set a new standard for fleet finance by streamlining payments and automating workflows across bookkeeping, credit, and driver payroll, helping real-world businesses like delivery services, construction crews, and service technicians stay in control and operate efficiently.", "one_liner": "Financial OS for Modern Fleets", "team_size": 5, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1739666420, "tags": [ "Fintech", "Logistics", "Transportation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Fintech" ], "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/rally-3", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/rally-3.json", "year_founded": 2025, "city": "Berlin", "country": "DE", "linkedin_url": "https://www.linkedin.com/company/rally-fintech", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0c91984bb2308087803ae4f30c937c29f1d60e46.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": 642337, "full_name": "Nick Telecki", "title": "Founder/CEO", "founder_bio": "CEO Rally. 2x Founder. Previously built a delivery startup, scaling it to $3M ARR in 1 year. Managed global strategy at Delivery Hero across 50+ markets. Bring a decade of experience across finance, tech and logistics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nick-telecki", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dd1d6e96210a8b78f3081226311982266bf86624.jpg" }, { "user_id": 2022803, "full_name": "Thiago Peres", "title": "Founder/CTO", "founder_bio": "CTO Rally. 2x founder, ex-PM lead at Stripe, Meta, Booking and supply chain tech (project44). CS dropout. Acquired by biggest e-commerce in LATAM at 22yo. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/thiagoperespm/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/308e77e48c1dc7634f6da989c4b8538f7af2a02e.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30236, "name": "Tergle", "slug": "tergle", "former_names": [ "Esse AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/441b34e3b91d1925fe09d25d993360b31f740df4.png", "website": "https://tergle.com", "all_locations": "New York City, NY, USA", "long_description": "Tergle builds AI to replace Auditors. ", "one_liner": "AI Agents for Audit", "team_size": null, "industry": "B2B", "subindustry": "B2B", "launched_at": 1740611994, "tags": [ "Generative AI", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "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/tergle", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/tergle.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tergleai", "x_url": "https://x.com/TergleAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/441b34e3b91d1925fe09d25d993360b31f740df4.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": 2368724, "full_name": "Adam Bowen", "title": "Founder/CEO", "founder_bio": "CEO at Tergle. Ex-NASA engineer.\n\nOpted out of Ivy League at 17 to move solo to Tokyo. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adambowen03/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5a54f73e7762a28df595b2a960e07b73f0d9c074.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 88097, "title": "Tergle - AI agents for auditing", "tagline": "Humans weren't meant to be auditors. ", "body": "**TL;DR**\\\n**Tergle builds AI agents for auditing.** While auditors today rely on manual data manipulation & verification, Tergle can analyze pages of data and find discrepancies in seconds.\\\n\\\n\n\n### **⛔️The Problem**\n\nWith Adam’s father working as an internal auditor, we know first-hand that innovation in auditing stalled twenty years ago. \n\nEven the big-4, with combined audit revenue of $70bn, still:\n\n* **Rely on outsourcing simple document processing** to offshore workers or overpaid interns.\n* Have **almost no AI tools deployed** at the auditor level.\n* Waste **billions of dollars on replaceable manpower**\n\n### **🕊️The Solution**\n\nWe build custom AI agents for **both internal and external auditors** to automate their repetitive auditing practices. We are already **working with multiple billion-dollar companies** to speed up their workflows.\n\nTergle’s agents are:\n\n* **Instantly deployable 📈** - integrates smoothly into all existing tools\n* **Customizable 🛠️** - with specific workflow training and human-in-the-loop capabilities\n* **Reliable ⏱️** - guaranteed efficiency improvements as part of our implementation\n\n### **👷🏻Who are we?**\n\nWilliam and Adam met in school in England and have been best friends since they were **11 years old**.\\\n\\\nAt 16, together they built an EdTech non-profit and scaled it across the UK to **500+ partnered schools**. Tergle is their second startup together.\n\n![uploaded image](/media/?type=post&id=88097&key=user_uploads/89898/f9e26c27-eab3-4e1f-bc1e-344eadb25340)\n\n### **Our Ask**\n\nAre you wanting to put your **auditing** on **autopilot**? Let’s chat:\\\n\\\n📩 Email us at [founders@tergle.com](mailto:founders@tergle.com)\\\n\\\n💻 Schedule a demo [here](https://cal.com/abowen/tergle)", "url": "https://www.ycombinator.com/launches/Muv-tergle-ai-agents-for-auditing", "votes": 14, "created_at": "2025-02-27T01:59:22.607Z" } ] }, { "id": 30237, "name": "Trim", "slug": "trim", "former_names": [ "Nuclear Software Solutions", "Nuclear Software", "Trim", "TRIM" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3c14d4cdb1c005950196ad5a9f92aef664fca60a.png", "website": "https://trimresearch.com", "all_locations": "San Francisco, CA, USA", "long_description": "Trim is building a general intelligence AI model that can simulate real-world physical systems evolving over time.", "one_liner": "A foundation model for physics.", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1740465052, "tags": [ "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 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/trim", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/trim.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/trim-research", "x_url": "https://x.com/trimresearch", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3c14d4cdb1c005950196ad5a9f92aef664fca60a.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": 2370858, "full_name": "Emanuel Gordis", "title": "Founder", "founder_bio": "Founder of Trim. NRC-licensed RO, published quantum physics with Princeton and astrophysics with LLNL. Cornell Alum.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/emanuelgordis/", "x_url": "https://x.com/emanuelgordis", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c8714f75de45272abcfb761ed36660df2bd79710.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30238, "name": "Amby Health", "slug": "amby-health", "former_names": [ "Vertex Health" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2236b25dd12c87c047e1fa71435b329c187e2c47.png", "website": "https://tryamby.com", "all_locations": "San Francisco, CA, USA", "long_description": "Your wearable tells you what happened. Amby texts you what to do next, checks in, and adjusts when life gets in the way.", "one_liner": "The health coach that texts you first", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Consumer Health and Wellness", "launched_at": 1738458555, "tags": [ "SaaS", "Health Tech", "Digital Health", "Healthcare", "Health & Wellness" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Healthcare", "Consumer Health and Wellness" ], "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/amby-health", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/amby-health.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ambyhealth", "x_url": "https://x.com/AmbyHealth", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2236b25dd12c87c047e1fa71435b329c187e2c47.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/cca308e48ab60e03e8d736728ffc330f4e3c355a.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 541108, "full_name": "Yos Wagenmans", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of Amby Health. Dropped out of MIT CS M.Eng.\nPreviously led ML research at MIT CSAIL, worked on AI at Meta, and developed pre-hospital software at ALLM. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yosw/", "x_url": "https://x.com/yos_w/", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dbb75861e8fa4bd85a53e89792224d29bf201b98.jpg" }, { "user_id": 1616056, "full_name": "Timmy Dang", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO @ Amby Health. Software @ Amazon & Bloomberg. AI + Data Science @ OM1 (healthcare analytics).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/timmydang27/", "x_url": "https://x.com/timdangg", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a1544d24119f9ec551daa3a7abc94cedbf16372d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87974, "title": "Amby Health - AI Copilot for Ambulance Agencies (EMS)", "tagline": "We automate EMS quality reviews and billing, reducing errors, maximizing revenue, and improving patient care.", "body": "We’re Yos and Timmy – co-founders of [Amby Health](https://tryamby.com) 👋\n\n# **TL;DR**\n\nAmbulance agencies (EMS) waste time and lose revenue due to manual quality reviews and billing, leading to missed errors, under-documented care, and delayed reimbursements. Amby Health automates the entire process, ensuring 100% of patient reports (PCRs) are reviewed in real-time, helping agencies increase revenue, reduce workload, and improve patient care.\n\nKnow any **EMS Directors/CEOs or Fire Department Captains**? Please introduce us! \n\nEmail: [contact@amby.health](mailto:contact@amby.health)\n\n# **The Team**\n\n**Yos (CEO):**  MIT dropout, ex-Meta engineer, ML researcher at MIT CSAIL, and former engineer at Allm, a company providing pre-hospital emergency care. He saw firsthand how outdated, manual EMS documentation and billing slow down providers and reduce revenue.\n\n**Timmy (CTO):** – MIT dropout, ex-Amazon/Bloomberg engineer, AI researcher at MIT Media Lab, and healthcare data scientist at OM1. He saw how valuable insights are buried in unstructured medical records, making it hard for providers to act on critical data.\n\n![uploaded image](/media/?type=post&id=87974&key=user_uploads/541108/0d47eceb-120d-4b66-acd1-d3f1a67db38a)\n\n# **The Problem**\n\nEMS quality reviews and billing are still manual and inefficient, leading to:\n\n* **Missed Errors & Compliance Risks** – Incomplete patient reports (PCRs) slip through, leading to under-documented care, protocol violations, and legal exposure.\n* **Lost Revenue & Billing Delays** – EMS teams spend hours fixing reports, chasing down medics, and resubmitting claims. Agencies miss out on millions due to denials, coding errors, and charge capture gaps.\n* **Slow, Labor-Intensive Process** – Quality review and billing teams are bogged down by manual chart reviews and corrections, delaying reimbursements and patient care improvements.\n\n \n\n# **Our Solution: AI-Powered EMS Quality Review & Billing**\n\n✅ **Automated Quality Audits** – Identifies errors, missing documentation, and compliance risks instantly.\\\n✅ **Real-Time Medic Feedback** – Helps providers improve documentation and protocol adherence with instant insights.\\\n✅ **Billing Optimization** – Ensures complete PCRs, flags missed charges and reduces denials to speed up payments.\n\nThe result? EMS agencies recover lost revenue, cut review times, and improve patient care—while reducing manual work. \n\nOne fire department **increased EMS revenue by 33%** (from $350K to $500K) simply by improving its review process.\n\n# **Demo**\n\n\n\n---\n\n**Our Ask**\n\n* Know any EMS Directors/CEOs or Fire Department Captains? Introduce us!\n* Reach us at: [contact@amby.health](mailto:contact@amby.health)\n* Learn more: [tryamby.com](http://tryamby.com)", "url": "https://www.ycombinator.com/launches/Msw-amby-health-ai-copilot-for-ambulance-agencies-ems", "votes": 67, "created_at": "2025-02-24T21:00:03.208Z" } ] }, { "id": 30239, "name": "Cardamon", "slug": "cardamon", "former_names": [ "Openwealth" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a3e4d26d964f7e9e8a081b6c3ec2ddad6bb65119.png", "website": "https://cardamon.ai/", "all_locations": "London, England, United Kingdom", "long_description": "Cardamon is an AI powered platform that ingests relevant regulation, understands what applies to each regulated financial firm, and gets compliance officers from regulation, to obligations, to product requirements in minutes - not weeks.\r\n\r\nFinancial firms face a host of complex regulations that make it incredibly painful to launch and maintain products in a compliant way. As a Product team at Revolut, we felt this pain deeply ourselves - we had products ready to launch but stuck in compliance limbo, often for weeks. Turns out, getting compliant took as long as building the product itself. \r\n\r\nFrustrated, we dug in and were shocked by how manual and inefficient the processes were. That’s when it clicked: there’s a huge opportunity to automate the boring stuff (and solve our own problem!). Compliance teams win because they ditch the tedious tasks. Product teams win because they ship faster. Everyone’s happy.", "one_liner": "AI compliance co-pilot for regulated financial businesses", "team_size": 11, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1740009565, "tags": [ "Fintech", "Compliance", "Regtech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cardamon", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/cardamon.json", "year_founded": 2025, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/cardamonai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a3e4d26d964f7e9e8a081b6c3ec2ddad6bb65119.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": 2331736, "full_name": "Areg Nzsdejan", "title": "Founder/CEO", "founder_bio": "Formerly Product Owner at Revolut leading Diversified Assets & Engagement teams, managing 14 engineers and launching ETFs, EU stocks and Bonds to millions of customers. Prior to that worked as a management consultant at Oliver Wyman and studied Mechanical Engineering at Imperial College London. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/areg-nzsdejan-85b894a1/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9f7fd47f8c5c4f18d388ea21bff8166ba6399e9e.jpg" }, { "user_id": 2391897, "full_name": "Dmytro Astakhov", "title": "Founder/CTO", "founder_bio": "Formerly Senior Software Engineer at Revolut leading development of ETFs and EU stocks to millions of customers. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dmytro-astakhov", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c4034a64643b890ed1279beeeb6d8f2690f0f651.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87846, "title": "Cardamon: Launch regulated products 10X faster by automating regulatory compliance with AI", "tagline": "AI powered regulatory mapping platform - getting you from regulation to product requirements in minutes", "body": "# **TL;DR**\n\n[Cardamon](https://cardamon.ai/) enables regulated financial firms to launch products, enter new markets and stay compliant 10X faster by automating regulatory mapping with AI. We cut the manual and repetitive tasks of sifting through 1000s of pages of regulation and analysing each passage - saving 100s of hours for regulated businesses. Check it out [here](https://youtu.be/EpE27zi-6JI).\n\n**Ask:** If you’re spending time & money trying to figure out what regulations apply, send us a message at [hello@cardamon.ai](mailto:hello@cardamon.ai) - we are already helping several firms cut 100s of hours from regulatory mapping work, enabling them to launch products faster\n\n# **The Problem ❌**\n\nFinancial firms face a host of complex regulations that make it incredibly painful to launch and maintain products in a compliant way. As a Product team at Revolut, we felt this pain deeply ourselves - we had products ready to launch but were stuck in compliance limbo, often for weeks. Turns out, getting compliant took as long as building the product itself.\n\nFrustrated, we dug in and were shocked by how manual and inefficient the processes were. Compliance teams would have to sift through 1000s of pages of different regulations, which they would need to understand, review and transpose into product requirements, controls & policies. These processes today are almost entirely manual, taking up hundreds of hours a year per compliance employee.\n\n# **Our** **Solution ✅**\n\nCardamon is an AI powered platform that ingests relevant regulation, understands what applies to each regulated financial firm, and gets compliance officers from regulation, to obligations, to product requirements in minutes - not weeks. \n\nCompliance officers can select any regulation they want to map to their firm. Cardamon goes through every line and evaluates:\n\n* What is applicable\n* What is an obligation \n* What the impact is\n* What the associated risks types are\n\n \n\nAdditionally, there is the option to generate controls for the obligations and query the underlying regulations with specific questions. \n\n![uploaded image](/media/?type=post&id=87846&key=user_uploads/2331736/d0972346-1b82-4c70-bd3a-1220e3ef8730)\n\nImportantly, compliance officers remain in full control with a host of features enabling them to edit, save and even download the mapping as a CSV.\n\n![uploaded image](/media/?type=post&id=87846&key=user_uploads/2331736/c8ff27c0-3e53-4524-b041-8e002a5aa711)\n\n# **Our ask 🙏**\n\nPlease reach out:\n\n* If YOU are a regulated financial company and want to launch products faster 🙂 - demos can be booked here if you want to jump straight in:  \n* If you know any regulated financial companies (fintechs, crypto firms, investment firms, banks, insurance firms) who want to launch products faster but are slowed down by compliance (pretty much all regulated financial companies!)\n\nYou can ping us on [hello@cardamon.ai](mailto:hello@cardamon.ai) \n\n# **Who we are 🤝**\n\n[Areg](https://www.linkedin.com/in/areg-nzsdejan-85b894a1/) (CEO) and [Dmytro](https://www.linkedin.com/in/dmytro-astakhov/) (CTO) have worked together at Revolut for almost 4 years in the same Investment product team. Areg was a Product Owner, heading up the Diversified Assets and Engagement teams, managing 14 engineers. Dmytro was leading the backend engineering function on these products, building from the ground up. Together they shipped cutting edge investment products to millions of users.\n\n![uploaded image](/media/?type=post&id=87846&key=user_uploads/2331736/556c5a1a-b85c-4b08-81da-c67ffcb9e3b7)\n\n", "url": "https://www.ycombinator.com/launches/Mqs-cardamon-launch-regulated-products-10x-faster-by-automating-regulatory-compliance-with-ai", "votes": 48, "created_at": "2025-02-20T02:05:17.852Z" } ] }, { "id": 30240, "name": "Bezel", "slug": "bezel", "former_names": [ "Replenish" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6fff4fb87d06a4a76e786b38906a07e576147ff8.png", "website": "https://www.trybezel.com/", "all_locations": "New York City, NY, USA", "long_description": "Bezel helps fashion brands create virtual photo/video shoots with AI. \r\n\r\nUpload images of clothes, select the human you want to model it, and Bezel generates pictures and videos that rival a full studio production. \r\n\r\nEvery detail of the clothing is rendered flawlessly. Try it for yourself.", "one_liner": "Digital AI humans that model clothes for e-commerce brands.", "team_size": 1, "industry": "B2B", "subindustry": "B2B", "launched_at": 1755619154, "tags": [ "Generative AI", "Machine Learning", "Marketing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "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/bezel", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/bezel.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/bezelai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6fff4fb87d06a4a76e786b38906a07e576147ff8.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": 717333, "full_name": "Kashyap Achar", "title": "Founder", "founder_bio": "Kashyap is the Founder and CEO of Bezel. He previously led engineering efforts at Bilt scaling a $30 billion rent rewards platform and built Americas first auto HSA payment platform ($XXM in volume in first 3 months). While at Clearco he built tech that funded $2.5 billion to e-commerce companies.\n\nHe's now working on shaking up the e-commerce marketing industry at Bezel.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kashyapachar/", "x_url": "https://x.com/_kashrocks", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/77d784f83d8550a909cbd38cfd19369100b62fe6.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 93362, "title": "Bezel: AI human fashion models for e-commerce brands.", "tagline": "Stop hiring production agencies, and start cranking out creatives with AI", "body": "**Bezel turns days-long apparel photo and video shoots into studio-quality images and videos in seconds—with AI and a few clicks.** What once costed $5,000 a shoot and required a full production team can now be created for a fraction of the price, instantly.\n\n**_Promo:_** All new signups this month get **10,000 free credits** on Bezel—enough to generate hundreds of stunning images for your brand.\n\n# [https://youtu.be/PKG8REHmbNM\\\\](https://youtu.be/PKG8REHmbNM%5C*%5C*%5C%5C)\n\n# **The Problem**\n\nApparel brands invest over $100k annually on photo and video shoots to produce marketing content. Yet, even after this significant spend, marketing teams often lack a sufficient variety of high-quality imagery and video to develop fresh, high-performing ads and creatives at scale.\n\nDue to a constant need to remix visuals, teams quickly exhaust their original shoot assets, creating a bottleneck that limits growth and stifles ad performance.\n\nThis gap between content needs and available assets slows experimentation, increases acquisition costs.\n\n# **Our Solution**\n\nBezel makes it easy for e-commerce teams (small and large) to create realistic, studio-quality images and videos of their apparel on AI-generated human avatars.\n\n![uploaded image](/media/?type=post&id=93362&key=user_uploads/717333/b7ddc2ed-00bb-4fd3-8a5b-da5e30443a38)\n\n![uploaded image](/media/?type=post&id=93362&key=user_uploads/717333/d868f009-c760-47c1-ab79-a1992b799112)\n\nJust upload your clothing images and Bezel quickly produces the visuals you need for ads, websites, and social media. No photo shoots, complex AI prompts, or creative delays. Bezel gives you the ready-to-use assets to power your next campaign.\n\n![uploaded image](/media/?type=post&id=93362&key=user_uploads/717333/dd2765d8-23af-454f-a4f4-3ad91209ada1)\n\n# **Key Features**\n\n* **Preset Human Models:** Choose from a wide variety of realistic male and female AI models in multiple ethnicities.\n* **Instant Studio Shoots:** Generate studio-quality, static images of any apparel in seconds—no photo shoots needed.\n* **Effortless AI Video Shoots:** Instantly create photorealistic videos of your apparel on human avatars, perfect for ads and social channels.\n* **No AI Prompting Required:** Just upload your clothing image and Bezel handles the rest, with no technical skills needed.\n* **Flexible Formats:** Download assets in both vertical and horizontal aspect ratios for websites, ads, and social use.\n* **Self-Serve Platform:** Designed for fast, easy content creation meaning no waiting for bulk processing or outside support.\n\n![uploaded image](/media/?type=post&id=93362&key=user_uploads/717333/c79768da-8bae-4fe8-9875-cb224f3ac365)\n\n# **Our Ask**\n\nIf you know any apparel brands put us in touch with them [founders@trybezel.com](https://mailto:founders@trybezel.com)\n\n# **The Team**\n\n[Kashyap ](https://www.linkedin.com/in/kashyapachar)- Previously built technology at Clearco to fund $2.5 billion dollars of marketing spend to e-commerce brands. He also scaled a $30 billion dollar consumer rent payment platform at Bilt and built America’s first automatic HSA payment platform.", "url": "https://www.ycombinator.com/launches/OHq-bezel-ai-human-fashion-models-for-e-commerce-brands", "votes": 78, "created_at": "2025-08-27T14:03:14.046Z" } ] }, { "id": 30241, "name": "ZeroEntropy", "slug": "zeroentropy", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6b2774c0442b4c923fff05f20dbced23d34ad02f.png", "website": "https://www.zeroentropy.dev", "all_locations": "San Francisco, CA, USA", "long_description": "We are on a mission to build the world’s most accurate, fastest, and cheapest task-specific models for every production AI system.\r\n\r\nMost AI products, whether copilots, agents, or search systems, depend on frontier LLMs to handle every step of their pipeline. \r\n\r\nYet, the vast majority of these steps are narrow, repeatable workloads: reranking, embedding, classification, routing, query rewriting, context compression, where frontier intelligence is overkill. \r\n\r\nRunning them on general-purpose models is slow and expensive, capping what production AI can achieve. \r\n\r\nThat is why we're building ZeroEntropy: to train small, task-specific models that replace frontier LLMs on these workloads, and empower developers to ship AI products that are more accurate, faster, and cheaper.", "one_liner": "Artificial Specialized Intelligence", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1734458813, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Acquired", "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/zeroentropy", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/zeroentropy.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/zeroentropy-inc/", "x_url": "https://x.com/zeroentropy_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6b2774c0442b4c923fff05f20dbced23d34ad02f.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": 1276815, "full_name": "Ghita Houir Alami", "title": "Founder/CEO", "founder_bio": "cofounder & CEO @ ZeroEntropy (YC W25)\n-\nmoroccan founder with 2 masters in applied maths from École Polytechnique and UC Berkeley\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/ghita-houir-alami", "x_url": "https://www.x.com/ghita__ha", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3ebf1da0eb7840d99a4bd3a9f6f96b6308ac3a1a.jpg" }, { "user_id": 1802968, "full_name": "Nicholas Pipitone", "title": "Founder/CTO", "founder_bio": "Cofounder & CTO @ ZeroEntropy (YC W25) -\n\nMy background is in theoretical mathematics and computer science.\n\nDropped out of CMU to pursue startups. Worked on low-level C/C++/Assembly/GPU Code. CTO and/or main dev for 5 different startups. Created stat-arb algorithms and audited blockchains for bug bounties and hedge fund due diligence.\n\nBuilt the AI @ myko.ai, manifestapp.xyz, magibook.co", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nicholas-pipitone-5736a2107/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/197d304a6357753e3e49aba63fb45294d50fabbc.jpg" } ], "jobs": [], "news": [ { "title": "Moroccan founder raises $4.2M for her YC-backed startup building the next layer of AI search  | TechCrunch", "url": "https://techcrunch.com/2025/07/09/moroccan-founder-raises-4-2m-for-her-yc-backed-startup-building-the-next-layer-of-ai-search/", "date": "Jul 09, 2025" } ], "launches": [ { "id": 86779, "title": "ZeroEntropy 🔎 - Advanced AI Search Over Complex Documents", "tagline": "ZeroEntropy is the first search engine designed from the ground up to answer natural language queries by deeply understanding the language in long, complex documents.", "body": "Hey there YC!\n\nWe’re [**Ghita**](https://www.linkedin.com/in/ghita-houir-alami/) and [**Nicholas**](https://www.linkedin.com/in/nicholas-pipitone-5736a2107/), the founders of ZeroEntropy.\n\n![uploaded image](/media/?type=post&id=86779&key=user_uploads/1276815/916d931e-36dd-4c92-828a-e98d35fadf6a)\n\n**We are on a mission to build the world’s most accurate search engine over complex and unstructured documents, behind a simple API.**\n\n👉 _If you are building RAG, a search bar, or search tools for your AI Agents, please reach out to us here_ [_founders@zeroentropy.dev_](https://mailto:founders@zeroentropy.dev)\n\n\n\n# **Why?**\n\nMost AI products - whether Q&A bots or AI agents - depend on retrieval systems to provide relevant context from knowledge bases.\n\nYet, the vast majority of these systems rely on basic semantic or hybrid search methods, which still frequently fail.\n\nThese mistakes lead to inaccurate responses and hallucinations by LLMs, frustrating developers and end users alike.\n\nThat’s why we’re building ZeroEntropy: to add intelligence to retrieval, and empower developers to build reliable and accurate AI products!\n\n# **A few common failure modes**\n\nThe most common examples are:\n\n* **Negated Queries**, like: _“Which electric vehicle articles **do not** include any reference to Elon Musk?”._\n* **Multi-Hop Queries**, like:_“Where was the suspect who was identified in the report born?”_\n* **Fuzzy Filtering Queries**, like: _“What diagnostic methods are suggested for early-stage cancer, in papers **that mention a sample size of over 2000**?”_\n\nThese types of queries are common in industries like legal, healthcare and manufacturing, where documents are very complex. Semantic similarity and keyword-based approach fail on all these examples. You can read more about why [**here**](https://medium.com/@zeroentropy/agi-requires-better-retrieval-not-just-better-llms-72f5288c37ef).\n\n# **Our Solution**\n\nSearch AI agents can solve these complex queries. Not only can they understand the user’s intent, but also route each query to the most suitable retrieval system, ensuring precise and relevant answers. Moreover, they adapt and personalize their performance over time, continuously improving with use.\n\nAll of this capability is accessible through a simple API that you can try out [here](https://dashboard.zeroentropy.dev).\n\n# **We need you!**\n\n👉 If you are building RAG, a search bar, or search tools for your AI Agents, please reach out to us here: [founders@zeroentropy.dev](mailto:founders@zeroentropy.dev)\n\n👉 Give our [product](https://dashboard.zeroentropy.dev) a try, and join our [Slack](https://join.slack.com/t/zeroentropy-community/shared_invite/zt-2venuk3yt-Of\\~\\~NtGIQn_hsD_QJe4fkQ) to follow our journey!\n\n# **About us**\n\nWe both have a background in math and AI: Ghita has two masters in Applied Maths from Ecole Polytechnique (Paris) and from UC Berkeley, and Nicholas grew up doing math and coding competitions at CMU before becoming the CTO of several startups.\n\nWe’ve both experienced the pain of building great retrieval systems from working as AI engineers and researchers in several industries from healthcare, to finance, to B2B SaaS, and consumer AI.\n\n# **PS/Fun Fact**\n\nIn case you’re curious about our name, in information retrieval, entropy refers to the expected variability of information contained in a variable or message. ZeroEntropy refers to knowing exactly what the message contains and is associated to a high predictability, low chaos state. In physics, absolute zero entropy is impossible to achieve. But we’ll try!", "url": "https://www.ycombinator.com/launches/MZf-zeroentropy-advanced-ai-search-over-complex-documents", "votes": 133, "created_at": "2025-01-13T21:18:03.258Z" } ] }, { "id": 30242, "name": "Oki", "slug": "oki", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2739d81dbffcc2b373478801ae236fbf5c3b86d0.png", "website": "https://okihome.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Your life’s context, in one device. Oki Home is a memory computer that grows with you, keeping your data and personal intelligence on hardware you own.\r\n\r\nA future of limitless, personalized tokens for every consumer.", "one_liner": "The memory computer for your digital life.", "team_size": 6, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1739303977, "tags": [ "Hardware", "Consumer", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Consumer" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/oki", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/oki.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/oki-ai", "x_url": "https://x.com/Luofei_Chen", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2739d81dbffcc2b373478801ae236fbf5c3b86d0.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": 341385, "full_name": "Luofei Chen", "title": "Founder/CEO", "founder_bio": "co founder and ceo at Oki\nUC Berkeley M.E.T. - dual degree in Engineering and Business\nHappy to chat! chenluofei@gmail.com\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/luofei-c/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ff263a51901a2fe7ef2020ef42ff365ba0ba02ac.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 92002, "title": "Oki AI - Personalized Updates on Company Progress", "tagline": "All the context you need to run your company, delivered daily. ", "body": "Hey! 👋 Luofei and Aayush here from [**Oki**](https://www.okiapplications.com/).\n\n**TL;DR**\n\nOki reads your team’s code, tickets, docs, and messages, then drops a personalized, interactive update to you every morning. You start the day knowing exactly what’s shipping, slipping, or on fire - no digging required.\n\nhttps://youtu.be/gEc8SP4SmaQ\n\n\\\n**Problem:**\n\nAs a startup grows, the once-lean, founder-led culture slows down: information scatters, teams bloat, and leaders lose line-of-sight on what’s really happening. **Decisions suffer because the right context no longer finds its way to the right people.**\n\nIn an ideal world, you wake up to all the context you need.\n\n[**For our customers, Oki AI is that ideal world.**](https://www.okiapplications.com/)\n\nConnect your apps once, and Oki sends a personalized report daily to every leader at your company. And it’s not just an email; Oki allows you to dig into sources, timelines, and teams, ensuring you always have full context to make every decision.\n\n![uploaded image](/media/?type=post&id=92002&key=user_uploads/341385/4ef26d26-4622-47b0-a836-29722bc9ca46)\n\n\\\n🚀 **Get your first Oki report today.**\n\n[**Oki AI**](https://www.okiapplications.com/) is fully self serve and only takes 5 minutes to set up.\n\nWe’d also love to show you how awesome Oki is thru a demo:\n\n📅 Calendly: [https://calendly.com/oki-applications/oki-20-minute-chat/](https://calendly.com/oki-applications/oki-20-minute-chat/%5C)\n\n📬 Email: [founders@okiapplications.com](mailto:founders@okiapplications.com)", "url": "https://www.ycombinator.com/launches/Nvu-oki-ai-personalized-updates-on-company-progress", "votes": 18, "created_at": "2025-07-09T13:58:24.508Z" }, { "id": 87868, "title": "Oki AI - Automated Project Tracking for Engineering Leaders", "tagline": "AI Insights to automate project tracking and Boost Eng Productivity", "body": "Hey everyone! Luofei and Aayush here from Oki.\n\n**TL;DR**\\\nOki unifies data from Slack, GitHub, Jira, and more into one AI-powered dashboard, so Engineering leaders can automatically track progress, better allocate resources, and boost org productivity. No more endless hunts for ground truth or time-consuming status updates!\n\n**Demo**\\\n\n\n**The Problem**\\\nCTOs, VPs, and Directors of Engineering can’t truly see what’s happening across their teams. Even with teams of direct reports and countless status meetings, updates get missed, priorities shift, and some projects get overlooked. There’s too much context for any one person to track, leading to incomplete or inaccurate reporting.\n\n**The Solution**\\\nOki aggregates all your project data - no setup or manual input required - and surfaces behind-schedule items, emerging blockers, and under-resourced teams. You can drill down into any issue to see exactly what’s happening, so instead of spending meeting time asking, “What’s the status?” you can focus on, “How do we fix it?”\n\n**Our Ask**\n\n* If you’d like to use Oki right away - we’d love to chat! Here’s our email: [founders@okiapplications.com](mailto:founders@okiapplications.com)\n* If you know someone who’d love to use Oki, we would greatly appreciate an intro!\n* Chat with us about anything at [luofei@okiapplications.com](mailto:luofei@okiapplications.com), [aayush@okiapplications.com](mailto:aayush@okiapplications.com) - we’d love any feedback too!\n\n \n\n![uploaded image](/media/?type=post&id=87868&key=user_uploads/341385/f809168f-a9a4-41b5-bfd4-6acd00fffa9d)\n\n", "url": "https://www.ycombinator.com/launches/MrE-oki-ai-automated-project-tracking-for-engineering-leaders", "votes": 24, "created_at": "2025-02-20T18:08:22.375Z" } ] }, { "id": 30243, "name": "Cifrato", "slug": "cifrato", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0bb4c15c8e630dcffec655f29ad07b101afe03c5.png", "website": "https://cifrato.ai", "all_locations": "Bogotá, Bogota, Colombia; Remote", "long_description": "End-to-end accounting workflows executed by AI agents.\r\n- Invoice capture + upload to ERP/POS\r\n- Invoice payment + reconciliation\r\n- Tax filings\r\n- CFO insights on demand", "one_liner": "AI Accountant for Accounting Firms", "team_size": 17, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1751513280, "tags": [ "FinOps", "SaaS", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "Colombia", "Latin America", "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/cifrato", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/cifrato.json", "year_founded": 2025, "city": "Bogotá", "country": "CO", "linkedin_url": "https://www.linkedin.com/company/cifrato", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0bb4c15c8e630dcffec655f29ad07b101afe03c5.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": 951645, "full_name": "Juan Pisco", "title": "Founder/CEO", "founder_bio": "Building the AI Accounting Agent for Accounting Firms. 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It had all the makings of a viral video, but after recording, we came back to hours of raw footage of cars driving by. It quickly dawned on us that we’d have to scrub through this entire raw footage to count the Cybertrucks. As we began editing, we experienced firsthand the frustration of trying to accomplish simple tasks in video editors like DaVinci Resolve and Adobe Premiere Pro. Features are hidden behind menus, buttons, and icons, and we often found ourselves Googling or asking ChatGPT how to do certain edits. We thought that now — with multimodal AI — we could accelerate some of this process. And better yet, if the AI is built into your video editor, it could automatically apply edits based off what it sees and hears in your video. The idea quickly snowballed and we began our side quest to build the _Cursor for Video Editing._" }, { "question": "What's the history of your company from getting started until the present day? What were the big inflection points?", "answer": "We spent the first month of YC building our entire video editor and making our multimodal chat copilot powerful and stateful. But after talking to users, we quickly realized that the chat interface has some limitations for video, primarily because of chat’s inherent prompt-response sequential UX. We spent month 2 of YC going back to first principles to create a new, agentic paradigm for video editing. The result: a node-based canvas which enables you to create and run your own multimodal video editing agents. The idea is that canvas will run your video editing on autopilot, and get you 80-90% of the way there. 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Previously, he led AI at Matic, building perception systems for autonomous home robots that raised $30M from the founders of Stripe, Twitter, and Nest. He co-authored Gradslam (1.4K GitHub stars) and has published at RSS. Soroush holds an M.S. in CS from Concordia University.", "is_active": true, "linkedin_url": "https://linkedin.com/in/soroush-saryazdi-792365175", "x_url": "https://twitter.com/S_Saryazdi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c2f1fbfd51f754495ce3b1f2dcfec99770e60b85.jpg" }, { "user_id": 611689, "full_name": "Jason Zhou", "title": "Founder", "founder_bio": "Jason is co-founder of Swerve (YC W25). Previously, he led autonomy and simulation at Matic, building autonomous home robots. He holds B.S. and M.S. degrees in EECS from UC Berkeley, where he conducted robotics and AI research and was named a Siebel Scholar.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jasonxzhou/", "x_url": "https://x.com/jsn_zh/", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9793ba8e6b989044eb11ba0e47c55d5341997c07.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 92574, "title": "Swerve - Snap AI Videos with Friends", "tagline": "Capture a quick video and choose what you want to see next. Swerve makes it happen!", "body": "Hey! We're Jason and Soroush, co-founders of Swerve. Swerve lets you snap AI videos with friends:\\\nhttps://www.youtube.com/shorts/qJuJOQm9SWM\n\n📷 Capture a quick video and choose what you want to see next. Swerve makes it happen! You can also follow friends and discover trending videos from our community. Our users have gotten super creative with Swerve, and we’d love to see what you’ll create.\n\n👇 Check out our iOS app here: https://apps.apple.com/us/app/swerve/id6746973177\n\n🎉 If you like the app, we’d love it if you:\n\n* invite your friends \n* share your favorite clips on X / Instagram / TikTok\n* drop us a rating on the App Store\n\nQuestions, ideas, or feedback?\\\nReach out to us anytime: [founders@getswerve.com](mailto:founders@getswerve.com)\n\n![uploaded image](/media/?type=post&id=92574&key=user_uploads/611689/9d3f8e7d-cb44-4354-8b96-255074427b3c)\n\n", "url": "https://www.ycombinator.com/launches/O58-swerve-snap-ai-videos-with-friends", "votes": 16, "created_at": "2025-07-30T16:08:46.771Z" } ] }, { "id": 30247, "name": "Osmosis", "slug": "osmosis", "former_names": [ "Gulp" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0e0e653e5da051b7c87a56070249ad76479b0594.png", "website": "https://osmosis.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Osmosis is a post-training platform that helps companies fine-tune language models using reinforcement learning. We work with fast-growing AI companies to train task/domain-specific models that beat foundation models on performance, cost, and latency. Our platform handles compute orchestration, reward modeling, and training run observability as a CLI-based product usable by developers and agents. ", "one_liner": "Reinforcement Learning (RL) for AI Agents", "team_size": 6, "industry": "B2B", "subindustry": "B2B", "launched_at": 1737656598, "tags": [ "Machine Learning", "Reinforcement Learning", "Infrastructure", "AI" ], "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/osmosis", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/osmosis.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/osmosis-ai/", "x_url": "https://x.com/osmosis_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/gulp-ai", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0e0e653e5da051b7c87a56070249ad76479b0594.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": 695591, "full_name": "Kasey Zhang", "title": "Founder/CEO", "founder_bio": "Currently: osmosis.ai \n\nPreviously: gaming founder, VC", "is_active": true, "linkedin_url": "https://linkedin.com/in/kasey-zhang", "x_url": "https://x.com/_WEEXIAO", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/89bfeaa626b0c7c6444e4634610ad1c228392c9f.jpg" }, { "user_id": 1479747, "full_name": "Andy Lyu", "title": "Founder/CTO", "founder_bio": "Defining how real time systems should be built. Previously worked on data architecture and ecosystem at TikTok recommendations as the 5th and youngest US hire", "is_active": true, "linkedin_url": "https://linkedin.com/in/baiqingl", "x_url": "https://x.com/viewerisland", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4acaad1754ca9e5bf80ca3d25cdc86b8226565d6.jpg" } ], "jobs": [ { "id": 88480, "title": "Machine Learning Engineer ", "url": "https://www.ycombinator.com/companies/osmosis/jobs/N17l8oV-machine-learning-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$180K - $250K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Reinforcement learning (RL)" ] } ], "news": [], "launches": [ { "id": 87475, "title": "Osmosis: Unlocking Real-Time Learning for AI Agents", "tagline": "Osmosis gives AI agents the ability to learn like DeepSeek R1, all in real-time ", "body": "What if AI agents could immediately learn from their mistakes?\n\n## TL;DR\n\nWhile AI agent capabilities continue to improve, the agentic workflows remain brittle since agents aren’t able to learn from tasks in real-time. Osmosis is a framework that helps your AI agents learn in real-time (similar to DeepSeek R1’s post-training loop) in order to make them better, faster, and more responsive.\n\nOn the first run, we scored 21.5% accuracy, which is 60% better than base 4o performance (16X more expensive!). **This means that even on a first run, we're 25X+ more cost effective than base 4o - and that would be significantly better on a second run.** We also averaged 7.5 steps per task while OpenAI Operator averaged 67 steps per task (faster and cheaper!).\n\nIf you’re building AI agents and want to make them better, faster, and more responsive, we’d love to chat! Email [kasey@gulp.ai](mailto:kasey@gulp.ai) or book time [here](https://calendly.com/kasey-gulp/).\n\n## The Problem\n\nAI agents still struggle with novel and complex (multi-step) tasks. Even OpenAI Operator (current state-of-the-art) just scores 58% accuracy on the WebArena benchmark. The worst part is that agents make the same mistakes again and again!\n\nAnd even when agents can solve a task, there’s generally a lack of optimization in their process. This ends up negatively affecting performance while also driving up inefficient inference costs for users.\n\n## The Solution\n\nOsmosis builds and maintains a ‘library’ of an agent’s previous interactions. It’s a super simple two line addition in a developer’s agent infrastructure that:\n\n* Ingests and understand a user’s prompt\n* Queries a vector database to search for similar past scenarios\n* Recommends a relevant plan of action for the task\n* Quantifies an agent’s performance when it finishes, and embeds the assessment\n\nJust like that, we have a flow that enables agents to learn in real-time with each successive task!\n\nHere’s a head-to-head (Operator versus Claude 3.5 Sonnet + Osmosis):\n\n\n\n**Osmosis was 3X faster and 6X more efficient in the number of steps taken!**\n\n## Our Ask\n\nIf you (or anyone you know) are building AI agents and struggling with accuracy, speed, or cost, we’d love to chat and see how we can help! Please reach out at [kasey@gulp.ai](mailto:kasey@gulp.ai), or book some time directly [here](https://calendly.com/kasey-gulp/).\n\n## The Team\n\nWe’ve (Kasey and Andy) known each other for over a decade!\n\n[Kasey](https://www.linkedin.com/in/kasey-zhang/) (CEO) previously co-founded and ran a gaming startup for two years before it was acquired. From there, he worked at various VC firms focusing on AI and data investments before deciding to jump back into building.\n\n[Andy](https://www.linkedin.com/in/baiqingl/) (CTO) previously worked at TikTok, where he joined as an early member of the data infrastructure team and eventually became a tech lead, running data infrastructure for recommendations across the core TikTok app, Shop, Live, and more.\n\n![uploaded image](/media/?type=post&id=87475&key=user_uploads/695591/d662049a-cf42-4d21-bc5f-08643fd3be5e)\n\n", "url": "https://www.ycombinator.com/launches/Mkt-osmosis-unlocking-real-time-learning-for-ai-agents", "votes": 155, "created_at": "2025-02-06T19:22:40.649Z" } ] }, { "id": 30248, "name": "Operand", "slug": "operand", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/80bb33f9be2a3037ed8fdc3e03f07687031bbfcd.png", "website": "https://www.operand.com/", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "", "team_size": 8, "industry": "B2B", "subindustry": "B2B", "launched_at": 1738206906, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/operand", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/operand.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/operandofficial", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/80bb33f9be2a3037ed8fdc3e03f07687031bbfcd.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": 1973960, "full_name": "Ram Gorthi", "title": "Founder", "founder_bio": "Dartmouth, Mathematics & Computer Science ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ramgorthi", "x_url": "https://x.com/RamGorthi2", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/107a48b74cbc80f748c0ecee21a89bcafa220d23.jpg" }, { "user_id": 1967861, "full_name": "Akhil Iyengar", "title": "Founder", "founder_bio": "Cornell dropout, formerly studying CS & Econ. Building Operand.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/akhiliyengar/", "x_url": "https://x.com/ak_iyengar", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0d200fb891b26e5fed7398c943916263cb8f2762.jpg" }, { "user_id": 1973001, "full_name": "Arjun Sahney", "title": "Founder", "founder_bio": "Building Operand.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/arjun-sahney-40b88624b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/48ddd4a9760c544c14b1c28704f0548199513e22.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87469, "title": "Operand - An AI to Kill McKinsey", "tagline": "Operand helps businesses turn data into 6-figure returns—starting in e-commerce & retail.", "body": "### **TL;DR**\n\nOperand is building an AI to replace traditional consulting. We help businesses make better decisions by deeply analyzing their data across all sources—something consultants can’t do at scale.\n\nWe’re starting in e-commerce and retail, where the businesses’ high data density and real-time feedback loops allow us to show impact fast. Our first capability is **pricing and discount strategy**. Operand considers everything—competitor pricing, ad strategy, inventory, and more—to ensure businesses maximize profit.\n\nAnd unlike other AI solutions, every Operand result is **verified by human experts**, including ex-MBB consultants, so you get actual impact, not just AI hype.\n\nWe’re already generating 6-figure P&L improvements for early customers.\n\n🔹**Want to see Operand in action?** Book a demo here: \n\n🔹**Our Launch Video:** \n\n\n\n## **Why This Matters**\n\nFor decades, businesses have spent millions on consultants who deliver slide decks filled with high-level recommendations—but **without the ability to execute at scale.**\n\nRetail and e-commerce brands are drowning in data, spread across countless tools and platforms. They hire consultants who don’t code, buy software that doesn’t integrate, and rely on gut instincts when they should be acting on real analysis.\n\n**Operand changes that.**\n\nWe built an AI that deeply understands a brand’s entire data ecosystem. Instead of waiting weeks for a consulting firm to put together a report, Operand **analyzes the data in real time** and delivers actionable recommendations.\n\n## **How Operand Works**\n\n💬 **Ask Operand a business question** – via Slack, email, or our dashboard.\n\n📊 **Operand analyzes your entire data ecosystem** – from sales and inventory to competitor activity and ad spend.\n\n🚀 **Get a rigorous, expert-verified answer** – complete with analysis, forecasts, and next steps.\n\nWe’re starting with **pricing and discount strategy**, where even small optimizations can generate massive revenue impact. Our early customers are already seeing a 6-figure P&L improvement.\n\nAnd we’re just getting started.\n\n## **What’s Next?**\n\nWe’re rolling out **new capabilities** that are already driving results:\n\n🔹 **Ad Spend Management** – We optimize ad spend across platforms to maximize ROAS.\\\n🔹 **Customer Engagement** – Advanced targeting to re-engage customers and drive 3x conversion rate improvements.\n\nWant Operand to solve a specific challenge for your brand? Let us know!\n\n## **Join Us**\n\nOperand is actively working with **forward-thinking brands** who want to move faster, make better decisions, and leave overpriced slide decks behind.\n\nIf that sounds like you, let’s talk.\n\n📅 **Book a demo**: \n\n[🌐](https://calendly.com/d/cqw5-msn-pf2/operand-intro%EF%BF%BC%F0%9F%8C%90) **Learn more:** \n\n![uploaded image](/media/?type=post&id=87469&key=user_uploads/1973960/ee9b950e-e274-4412-ba93-7f58be5bcaa5)\n\n", "url": "https://www.ycombinator.com/launches/Mkn-operand-an-ai-to-kill-mckinsey", "votes": 53, "created_at": "2025-02-06T15:20:56.079Z" } ] }, { "id": 30249, "name": "HealthKey", "slug": "healthkey", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c1861589f70a31b85bd0f644259f89e147516204.png", "website": "https://gethealthkey.com/", "all_locations": "Austin, TX, USA", "long_description": "HealthKey helps doctors offices generate more revenue by finding eligible patients for their clinical trials. We match at-risk patients with cutting-edge treatments, ultimately getting patients access to potentially life-changing treatments faster.\r\n\r\nBig Pharma pays a lot of money to clinics for each patient they enroll, but finding patients who qualify is an entirely manual process today. We use AI to prescreen doctors’ existing patients against Clinical Trials’ eligibility criteria, making enrollment fast and easy.", "one_liner": "AI-powered Patient Identification for Clinical Trials", "team_size": 10, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1737252261, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "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/healthkey", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/healthkey.json", "year_founded": 2025, "city": "Austin", "country": "US", "linkedin_url": "https://www.linkedin.com/company/gethealthkey/", "x_url": "https://x.com/HealthKey_HK", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c1861589f70a31b85bd0f644259f89e147516204.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f514188146134d705f609597f14b2995f4bd5e94.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 105349, "full_name": "Josh Sabol", "title": "Founder/CEO", "founder_bio": "Founder/CEO of HealthKey. Previously a Product Manager at AWS, helping automate the ~$20B supply chain at AWS. I was the 1st PM at Plate IQ (S15), a B2B accounting & payments tool, which 10x'ed during my tenure and recently raised a $160M Series B from FTV Capital. 🌐 https://sabol.io/", "is_active": true, "linkedin_url": "https://linkedin.com/in/joshsabol", "x_url": "https://x.com/JoshSabol", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e95ad93aa9652613ccb07b5849e1641f5b0901fe.jpg" } ], "jobs": [ { "id": 114161, "title": "Business Manager (Accounting & Operations) - [Part Time / In-Person]", "url": "https://www.ycombinator.com/companies/healthkey/jobs/trfvIw4-business-manager-accounting-operations-part-time-in-person", "location": "Austin, TX, US / Chih., MX / Chihuahua, MX", "type": "Contract", "role": "Finance", "role_type": null, "salary_range": "$35 / hourly", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 87758, "title": "HealthKey — AI-Powered Patient Identification for Clinical Trials", "tagline": "Find 2x eligible patients in ½ the time", "body": "Hi everyone, [Josh Sabol](https://www.linkedin.com/in/joshsabol/) here with [**HealthKey**](https://gethealthkey.com/) 👋\n\n### **TL;DR**\n\nHealthKey helps doctors offices generate more revenue by identifying patients who are eligible for clinical trials, and matches at-risk patients with cutting-edge treatments. Big Pharma pays _a lot_ of money to clinics for each patient they enroll, but _finding_ patients who qualify is an entirely manual process today. We use AI to prescreen doctors’ existing patients against Clinical Trials’ eligibility criteria, making enrollment fast and easy.\n\nAre you a **Clinical Operations Leader** or a **Principal Investigator**? Book a **15-min demo** here 👉 \n\n\n\n### **The Problem**\n\nPharma/Biotech/Medical Device companies (a.k.a. Sponsors) rely on doctors’ offices (a.k.a. Research Sites) to find patients for clinical trials. **Each enrolled patient can bring a site anywhere from $20,000 to $100,000**. The problem is finding qualified patients. **Doctors have to manually search through dense medical records** looking for extremely specific criteria, for [**example**](https://clinicaltrials.gov/study/NCT05683691#participation-criteria): “Prostate cancer in T2c stage, 20-80 cc in size determined via MRI.” **Existing search tools rely on simple data fields**, so they can’t handle these nuanced requirements. As a result, doctors manually sift through lists of 1000 patients with Prostate cancer only to discover \\~5 patients match all eligibility criteria. The result is **wasted time, missed revenue, and fewer patients** getting access to potentially life-changing trials.\n\n### **The Solution**\n\nOur solution works in two steps:\n\n**1. AI-Driven Prescreening**\n\nWe connect with clinics’ EHR system\\* directly to pull all medical records, including faxed PDFs. Then we use AI to compare each patient’s medical history against a trial’s specific eligibility criteria. For example: prostate cancer’s status, stage, size, and impression source. We repeat this for every criterion, across all trials, creating a carefully vetted list of potential candidates ranked by how likely they are to qualify.\n\n**2. Doctor Review**\n\nDoctors log in to our dashboard to view the prescreened patients. For each candidate, HealthKey highlights the key pieces of evidence—such as MRI details or encounter notes—so doctors can verify if a patient qualifies. This feedback loop improves our system, making it fast and easy to identify, qualify and enroll patients into clinical trials.\n\nDoctors can onboard in under a week with our existing integrations\\*, or we’ll integrate with any certified EHR for free. Clinics only pay when they successfully identify qualified patients!\n\n\\* Current Electronic Health Record (EHR) integrations include Athena, Veradigm Allscripts, Epic, NextGen, and MedConnect.\n\n![uploaded image](/media/?type=post&id=87758&key=user_uploads/105349/63655e71-0364-435d-a48a-5eba0690ed2a)\n\n### **Case Study: $1.4M in Missed Revenue at Urology Clinic**\n\nOne of our current partners is a +10 location urology practice. They have 4 research coordinators who each spend 3 hours every morning searching for trial candidates manually in their EHR. This manual screening is the most time-consuming part of their day.\n\nLast year, they actively recruited for 11 clinical trials. They missed their enrollment targets because they couldn't identify enough eligible patients, resulting in $1.4M in missed revenue.\n\nHealthKey has freed up countless hours of staff time, and has already identified 100s of eligible patients. With HealthKey's AI-powered Patient Identification, they're now positioned to meet enrollment targets and capture their full revenue opportunity.\n\n### **The Ask**\n\nAre you a **Clinical Operations Leader** or a **Principal Investigator**? Book a **15-min demo** here 👉 \n\nFinding patients for clinical trials is an enormous pain. If you know decision-makers in any of these organizations, we’d be super grateful for an introduction! Email us at [founders@gethealthkey.com](mailto:founders@gethealthkey.com)\n\n1. Healthcare orgs that do Research or run Clinical Trials (Hospitals, Clinics, etc.)\n2. Research Sites / Site Networks\n3. Pharma companies\n4. Bio-tech companies\n5. Medical Device companies\n6. Durable medical goods providers\n\n### **Thanks!**\n\n![uploaded image](/media/?type=post&id=87758&key=user_uploads/105349/b24b4fef-e9fd-4794-9d64-441183e5d94f)\n\n", "url": "https://www.ycombinator.com/launches/MpS-healthkey-ai-powered-patient-identification-for-clinical-trials", "votes": 33, "created_at": "2025-02-17T21:17:11.716Z" } ] }, { "id": 30250, "name": "10x", "slug": "10x", "former_names": [ "GradeWIz", "Gradewiz", "GradeWiz", "GradeWIz", "GradeWiz" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ba966c23157e18273203c5a895b88637e3e4b8e0.png", "website": "https://www.10xdental.com/", "all_locations": "San Francisco, CA, USA", "long_description": "10x helps dental practices turn missed revenue opportunities into booked appointments. We connect to a practice’s patient database, identify overdue recalls, lapsed patients, and unscheduled treatment plans, then use AI calling and texting to bring those patients back into the chair.", "one_liner": "AI Sales Teams for Dental Practices", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1736138044, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Healthcare" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/10x", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/10x.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/gradewiz/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/gradewiz?__cf_chl_tk=g2VjS8tG4j8TT8t2yxPE3HsJ6avXzLA.1FDb3murnbQ-1748623395-1.0.1.1-jzQ.X810lPIBUsMcNhfiKSSeimImyrM3YTJM5SB84jo", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ba966c23157e18273203c5a895b88637e3e4b8e0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4e729fa795f48eb6f263887c34fa29136693ab3a.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1991406, "full_name": "Max Bohun", "title": "Founder/CEO", "founder_bio": "Co-founder @ 10x - AI Recall Agents that make dental practices a LOT more money", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/maxbohun/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5cdde6716c97a56f4ea4c5306393e756507822ec.jpg" }, { "user_id": 1491506, "full_name": "Aman Garg", "title": "Founder/CTO", "founder_bio": "Co-founder of GradeWiz - AI Teaching Assistant that grades student work.\n\nCS at Cornell. \n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/amanmadhavgarg/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/29353bd3724ab8d77eb27459764f1935f4470cef.jpg" } ], "jobs": [ { "id": 94534, "title": "🦷 Founding Engineer at 10x Dental (YC W25)", "url": "https://www.ycombinator.com/companies/10x/jobs/F9oCew6-founding-engineer-at-10x-dental-yc-w25", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $180K", "equity_range": "0.50% - 1.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "TypeScript" ] } ], "news": [ { "title": "Student startup pilots AI grading assistant, joins Y Combinator | Cornell Chronicle", "url": "https://news.cornell.edu/stories/2025/02/student-startup-pilots-ai-grading-assistant-joins-y-combinator", "date": "Feb 26, 2025" } ], "launches": [ { "id": 100459, "title": "10x: AI sales teams for dental practices", "tagline": "10x helps dental practices turn missed revenue opportunities into booked appointments.", "body": "It’s 2026 and dentists STILL aren’t making enough money.\n\n\n\nMillions of dollars in opportunities are already in their database… and they aren’t turning into appointments.\n\nPractices spend thousands to acquire patients\n\nthen forget to follow up.\n\n10x (YC W25) is a revenue engine for dental practices.\n\nWe call patients who are overdue for checkups and follow up on treatment plans to help practices produce as much as possible.\n\nFor a practice in Miami, we’re generating >$30k/month in incremental revenue.\n\nFor a practice in LA, we brought back 94 lapsed patients in one month.\n\nAlready live in the largest and second-largest privately owned dental groups in Chicago,\n\none of the largest in Sacramento,\n\nand dozens of practices covering every continental U.S. timezone.\n\nIf you run a dental practice and you’re not using 10x, you’re leaving money on the table. [Schedule a demo.](https://calendly.com/aman-gradewiz/30min?month=2026-04)\n\nP.S. We’re actively HIRING a founding engineer and a founding GTM. Reach out to [Max Bohun](https://www.linkedin.com/in/maxbohun/?skipRedirect=true)!", "url": "https://www.ycombinator.com/launches/Q8J-10x-ai-sales-teams-for-dental-practices", "votes": 8, "created_at": "2026-04-29T21:56:11.000Z" }, { "id": 87914, "title": "GradeWiz: AI Teaching Assistant", "tagline": "Grading Ivy League Assignments with AI", "body": "[GradeWiz](https://www.gradewiz.ai/marketing/index.html) is the AI teaching assistant for Ivy League courses that grades student work and gives them feedback.\\\n\\\n9 out of 10 Educators would rather lose a kidney than grade another assignment.\n\nStudents wait weeks to get generic feedback on their work that they don’t even read.\n\nGradeWiz transforms the way courses are taught: now, a single TA does the work of 10, 10x faster. We have already graded over 30,000 submissions this year at massive universities like Penn State, Cornell, Hunter, Cal Poly, and Syracuse. Each submission gets detailed next-day feedback that educators don’t have time to give.\n\nIf you’re an educator or a decision maker, [join our waitlist.](https://www.gradewiz.ai/marketing/waitlist.html)\n\n[GradeWiz Launch Video](https://www.youtube.com/watch?v=hLtSfhU10P8)", "url": "https://www.ycombinator.com/launches/Mry-gradewiz-ai-teaching-assistant", "votes": 21, "created_at": "2025-02-21T23:29:11.396Z" } ] }, { "id": 30251, "name": "Mecha Health", "slug": "mecha-health", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e851087b2c25e5bd175d39d8631791d74e04ebb1.png", "website": "https://www.mecha-health.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Mecha Health builds foundation models to automate x-ray analysis for radiologists. We take medical images and process them using proprietary models to produce accurate draft medical reports. Our first model was built in less than two months, and beat Microsoft, Google, and OpenAI on clinical accuracy metrics. On top of that, it’s two orders of magnitude smaller and trained with a quarter of the data.\r\n\r\nWe are partnering with the largest privately owned radiology practice in the US and a multinational tele-radiology company to provide them with their own foundation model, enabling their radiologists to go from reading 1 scan per hour to 1 scan every 5 minutes. By charging on a per scan basis, x-ray report generation represents a 40B+ market opportunity. ", "one_liner": "Foundation models to automate x-ray analysis for radiologists", "team_size": 4, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1737153298, "tags": [ "Machine Learning", "Computer Vision", "Health Tech", "Healthcare", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Healthcare" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/mecha-health", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/mecha-health.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/mecha-health/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e851087b2c25e5bd175d39d8631791d74e04ebb1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1653084, "full_name": "Ahmed Abdulaal", "title": "Founder/CEO", "founder_bio": "Medical doctor @Imperial, where I gained entry to the most competitive deanery in the country. Microsoft PhD scholar in machine learning @UCL - I have more than 20 peer reviewed publications in medicine, digital healthcare, and machine learning - including first author publications in top AI venues such as ICLR. 360+ citations on google scholar. Ex Research Scientist at the Center for Artificial Intelligence @AstraZeneca. Building the future of automated radiology @Mecha Health.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ahmed-abdulaal-5b8b6a295/", "x_url": "https://x.com/AAY1993", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/47903da794d7f4d6b321cfcd16ef868b0cfcf586.jpg" }, { "user_id": 2219237, "full_name": "Hugo Fry", "title": "Founder", "founder_bio": "Mathematics (BA) and Physics (MSc) graduate from the University of Cambridge, ranking top 30 in the university. British Physics Olympiad participant, ranking in the top 11 in the UK. Former ML interpretability research scholar (MATS), where I was the first in the world to use Sparse Autoencoders on vision models. My research has been cited by Anthropic and Google DeepMind. Currently working on building state of the art radiology report generation AI in a way that is interpretable and safe.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hugo-fry-825828271/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/79920f2bd30552a4582e64400474702ed96fb8eb.jpg" }, { "user_id": 2209530, "full_name": "Ayodeji Ijishakin", "title": "Founder", "founder_bio": "I am a Machine Learning & Medical Imaging PhD candidate from University College London (UCL). During my PhD I published work at tier-one Machine Learning venues (NeurIPS, ICML & ICLR), and was invited to present my work at international medical imaging conferences, Digitas, & Harvard Medical School. Before this startup I was poached by my Professors from UCL including the Head of Computer Science to be CEO for their spin-out. Currently building Radiology 3.0 by Automating reporting. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ayodeji-ijishakin-b6208b1a9/", "x_url": "https://x.com/AIjishakin", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/91a8103e7adc247e6c59cde54f1798dbb2c12e3f.jpg" }, { "user_id": 2272824, "full_name": "Nina Montaña Brown", "title": "Founder/CTO", "founder_bio": "Solving the interpretive moment in radiology.\n\nex-ML Engineer across multiple medical device startups, with experience in FDA and CE marked medical devices, as well as LLM safety in healthcare. My PhD in Medical Imaging (UCL) focussed on surgical vision; my work has been patented, cited 100+ times, and published across the world's highest impact scientific venues (Nature, NeurIPS, ICLR).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nina-monta%C3%B1a-brown-6aa24b133/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4399f9dcfff9db94bacec22dd876670a6b70d5cb.jpg" } ], "jobs": [], "news": [ { "title": "Mecha Health Raises $4.1M Seed Round", "url": "https://www.mecha-health.ai/blog/Mecha-raises-seed", "date": "Nov 03, 2025" } ], "launches": [ { "id": 117908, "title": "Mecha Wayfinder: locating any finding, anywhere, in any medical image.", "tagline": "Meet Mecha Wayfinder! It locates any finding anywhere in any medical image by inspecting our foundation models, like giving the model an “MRI.”", "body": "# Mecha Wayfinder\n\nOne of the most important challenges for next generation foundation models in radiology is the ability to locate any type of pathology in across anatomies and modalities.\n\nWe’ve recently had a bit of research breakthrough on this, and today we’re introducing Mecha Wayfinder, a new tool for locating findings in medical images.\n\nTraditional systems like segmentation models are too restrictive for the task we’re trying to solve. Grad-CAM weights and upsamples a late convolutional feature map, which can leave localization spatially coarse and obscure boundaries.\n\nWayfinder takes a different approach. Think of giving the underlying AI an “MRI”: a way to inspect where the model looks, requiring zero human annotations.\n\nThe part we’re so excited about is that this approach scales with only images and reports. As we train better underlying systems, we expect Wayfinder to improve too.\n\nYou can learn all about it in our latest blog post linked below:\\\n\n\n", "url": "https://www.ycombinator.com/launches/Ufk-mecha-wayfinder-locating-any-finding-anywhere-in-any-medical-image", "votes": 3, "created_at": "2026-10-01T18:37:27.462Z" }, { "id": 97529, "title": "Mecha Health - Vision-language foundation models, that scale healthcare.", "tagline": "Today Mecha is launching a new set of capabilities, vision-language foundation models that interpret studies the way radiologists do.", "body": "Today we’re launching a new set of capabilities at Mecha: foundation models that interpret studies the way radiologists do, across anatomy, modality, views, and priors, while fitting into any workflow or software environment.\n\n\\\n\n\n\\\nWhat’s new is less about “one more model”, and more about a human-like feature set for real workflow:\n\n* Multi-anatomy interpretation\n* Multi-modality support\n* Multi-view reasoning with full clinical context\n* Prior-aware comparison: identifies clinically relevant change vs prior exams\n* Environment-agnostic delivery: a radiologist opens the study and finds a high-quality draft report already waiting in their template.\n\nThese new capabilities are designed to help frontier practices scale healthcare, without asking radiologists to relearn their workflow.\n\n### Our Ask\n\n* If you’re evaluating next-generation reporting AI, or know a group that is, we’d love to talk.\n\n**Please reach out directly at [ahmed@mecha-health.ai](mailto:ahmed@mecha-health.ai) - you can also check us out at** [**https://mecha-health.ai**](https://www.mecha-health.ai/)", "url": "https://www.ycombinator.com/launches/PN3-mecha-health-vision-language-foundation-models-that-scale-healthcare", "votes": 9, "created_at": "2026-02-19T18:31:53.538Z" }, { "id": 87081, "title": "Mecha Health 🩻 Trustworthy medical image reporting using AI", "tagline": "Automated analysis of medical images that is accurate and interpretable.", "body": "**TLDR;** \\\nMecha Health helps radiologists save time and effort by producing draft reports of medical images using AI. \\\n\\\n**The Problem: Too Many Scans Not Enough Doctors.** \\\nDue to a shortage of experts, US radiologists have to read 100 - 250+ studies per day, and this means that 55% have reported high levels of burnout. Additionally, patients sometimes have to wait days to receive medical reports for their scans due to backlogs. At times, this can result in preventable patient harm. \\\n\\\n**Our Solution: Accurate & Interpretable Medical Image Analysis.** \\\nWe improve the reporting process by producing draft reports with AI and have invented new science to do this both accurately and safely. Our system can trace every finding to its visual source in the image and evidence each finding with examples from the training dataset. This allows for transparent reporting that doctors can trust.\n\n![uploaded image](/media/?type=post&id=87081&key=user_uploads/2272824/2dd6b41e-c6f1-46a8-b932-678f32885952)\n\n**Our Background: Frontier Scientific Expertise.** \\\nWe are leading researchers in machine learning and medical imaging having published in tier-one AI venues (NeurIPS, ICLR, ICML). [Nina](https://www.linkedin.com/in/nina-monta%C3%B1a-brown-6aa24b133/), [Ahmed](https://www.linkedin.com/in/ahmed-abdulaal-5b8b6a295/) & [Deji](https://www.linkedin.com/in/ayodeji-ijishakin-b6208b1a9/) crossed paths through University College London’s Medical Imaging PhD program. [Hugo](https://www.linkedin.com/in/hugo-fry-825828271/) met the team after he published AI research that was cited by Anthropic. Ahmed, a trained medical doctor from Imperial College London, witnessed firsthand how reporting delays harm patient outcomes—driving Mecha Health’s mission to transform radiology.\n\n![uploaded image](/media/?type=post&id=87081&key=user_uploads/2272824/0785d872-c2c8-4a5f-ae6b-f06069c9ec95)\n\n**Our Ask: Intros to Pioneering Medical Professionals and Healthcare Executives.** \\\nPlease reach out to the team at [ahmed@mecha-health.ai](mailto:ahmed@mecha-health.ai) if you know any tech-forward clinicians, radiologists, radiology practices, or healthcare executives who could benefit from our technology. You can also check us out at .\n\n**Watch our full product video here** \\\n[**https://youtu.be/s5uJS7S8EF4**](https://youtu.be/s5uJS7S8EF4)", "url": "https://www.ycombinator.com/launches/MeX-mecha-health-trustworthy-medical-image-reporting-using-ai", "votes": 37, "created_at": "2025-01-23T03:22:50.784Z" } ] }, { "id": 30252, "name": "Cuckoo Labs", "slug": "cuckoo-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b101bcbe3aa299f4c858e25eded7583252ab9ab6.png", "website": "https://www.cuckoo.so/", "all_locations": "Seoul, Seoul, South Korea", "long_description": "Cuckoo is a real-time AI translator for global sales, marketing, and support. Companies like Snowflake and PagerDuty use Cuckoo in Zoom and in-person meetings for even the most technical discussions.\r\n\r\nCuckoo instantly learns the technical details of your conversation from your keywords and documents and interprets into over 20 languages—customized for your specific industry and organization. ", "one_liner": "Real-time AI translator for global sales and marketing", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1736479622, "tags": [ "B2B", "Sales", "Marketing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "South Korea", "East Asia" ], "stage": "Early", "app_video_public": true, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cuckoo-labs", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/cuckoo-labs.json", "year_founded": 2024, "city": "Seoul", "country": "KR", "linkedin_url": "https://www.linkedin.com/company/cuckoo-labs", "x_url": "https://x.com/cuckoohq", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/cuckoo-27e2", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b101bcbe3aa299f4c858e25eded7583252ab9ab6.png", "app_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/bf-public_profile/30305/app_video.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECANGNRRAJW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022725Z&X-Amz-Expires=60&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEHEaCXVzLXdlc3QtMiJHMEUCIQC3G81IFSUZtThVVLqv%2FNP8JAonBeKueJ3nqFDE3FxXUwIgKp6ifAPW9xtNk4cHGnVzE9T5oK7HksFpS9B%2BDm%2FLIOQq5QMIOhAAGgwwMDYyMDE4MTEwNzIiDMiErSqdA9fZ5I2ahyrCAyhI4VxFZU5tGwj2zBKwzP3YopALEsVr%2F%2BZE%2BqKG5ExbN%2FLTC2qWrBSqlDY2M5sbNAwfqQqFkcx31kz1vOn4FSuJMRYW%2BkzTF0sHdYK6D3qvReS29sXOai4xEgytMpWv0HHodzBVtqmM6lhZul7EdriU1r3NMgn6kwrys472GaamCoy9cButcMuxdA6JAW7AePBgk0hcnFGzaY5aao9TXEqqqLDlP1z95aeQK0rFfjBuVVTlW6dspQwwAJwsuJjoI9t1YkL4Lit4gUGj1QI7PUIH70gMRgnlfqNLB7jJcwv%2BI4Rfgnv%2FfKmc5%2BoYexcBkjZu9myZq6QOA6uBoHrB0oTKfDnTUxCfp3Zyd%2BYXd%2BRBrzgSL0LnII%2Fr1P71gX8BqFIaJIcILi5J6qUg2doC6qXH8L6zz0Tim2049E5pbQ072LSzepYlZMqQ983uJSL3eUXk86ehR9Lyldz67yIvyCRilZUgb11jcjrMydu%2Fj2RI4J5upBB3IYDl1jhGlV%2FvgsHTaVujKGAhe3lEnUZs9YdCRwpmLb5XcbpM70m15Z8MQhDcr6si85gNENVvPMk4eUw4FkmyLz2%2FrGX%2BhkiQHEAiUzDJ%2FdrWBjqlAa1FguiGB0WcOcaP9Dwwt66PPG2naOQP7x5F5wwTg7gWx2PYYqZ05ZF%2F2dhdA4HJKOntgl0neDqra19sFySGeXNdHt7tNNndMpVniacUOziehXVxpr49zgL%2FhWtvSxfqv2mUAjPVCs%2FBJs6SqN3WzVfiA2RUodOJqzLA7KluY8D8t3zxMbqsQdARPCP3FgqSkJ8A8HTGWYo9w0rLlT%2Fugv6qZCfQcg%3D%3D&X-Amz-SignedHeaders=host&X-Amz-Signature=47292fb84e3ecbf0b66ec8c1a684be16fefc756b859ed71f873377916ace1c67", "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 566439, "full_name": "Gunwoo Kim", "title": "Founder/CEO", "founder_bio": "Co-founder & CTO at Cuckoo, real-time AI translator for global sales & marketing.\n\nBefore Cuckoo, I built South Korea's fastest-growing ride-hailing app at (1M users in 9 months), which was faster than Uber Korea. Studied CS at KAIST.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gunwooterry/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4c817ad5393e2f8780e937a23f86f5b596e55f94.jpg" }, { "user_id": 427995, "full_name": "Yong Hee Lee", "title": "Founder/COO", "founder_bio": "Co-founder & CEO at Cuckoo, real-time AI translator for global sales and marketing\nCuckoo helps companies like Snowflake and Cognition build on their U.S. momentum and scale globally, reaching more customers without language barriers.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/harryyongheelee/", "x_url": "https://x.com/harryyongheelee", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/80b33b10d36443c51caf05162c7a72eac1795fb6.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87400, "title": "Cuckoo: Real-time AI translator for global sales, marketing, and support", "tagline": "Cuckoo helps companies like Snowflake and PagerDuty talk to their global customers, even in the most technical discussions.", "body": "### **TLDR**\n\n[**Cuckoo**](https://www.cuckoo.so) is a real-time AI translator for global sales, marketing, and support. Companies like Snowflake and PagerDuty use Cuckoo in Zoom and in-person meetings for even the most technical discussions. \n\nHere an example of us having a product, sales, and partner meeting with our W25 batchmates and one of our partners in Japan: [**https://youtu.be/7fq7wr_S8p0**](https://youtu.be/7fq7wr_S8p0)\n\n— \n\nHey everyone! We are [Yong Hee](https://www.linkedin.com/in/harryyongheelee/) and [Gunwoo](https://www.linkedin.com/in/gunwooterry/) and we are building Cuckoo to help global teams talk to their customers worldwide. [Give it a try](https://www.cuckoo.so) in your next global meeting 🌏\n\n### **Why?**\n\n**Language barriers are a big challenge even for global companies.** We experienced this firsthand in Korea, where we hosted community meetups, inviting product leaders around the world.\n\nOn the one hand, many nuances and details can get lost between languages, especially during technical conversations. On the other hand, speakers often felt isolated, unable to follow Korean discussions, and missed valuable opportunities to network and promote their products.\n\n### **Problem**\n\nTake Matt, a Solutions Engineer at PagerDuty APJ, who engages weekly with customers in Korea and Japan. These conversations are complicated not just by language barriers but also by technical details—think complex troubleshooting scenarios.\n\n### **Solution**\n\n**Cuckoo provides real-time translation tailored for you and your customers.** It instantly learns technical details from your documents—pitch decks, meeting notes, API docs—and delivers context-aware translation in 20+ languages.\n\n### **How it works**\n\nInvite Cuckoo to your online meeting. For in-person conversations, you can capture audio directly from your laptop.\n\n![uploaded image](/media/?type=post&id=87400&key=user_uploads/427995/829469eb-8895-44f0-b686-b2c45bb2f716)\n\nUpload relevant documents (pitch decks, API docs, user manuals, etc.) to help Cuckoo understand the general context and key terms.\n\n![uploaded image](/media/?type=post&id=87400&key=user_uploads/427995/64f98ba9-db35-43ca-b791-45ca41cd442f)\n\nAs the conversation unfolds, your and your customer can view live translations in your preferred languages.\n\n![uploaded image](/media/?type=post&id=87400&key=user_uploads/427995/cd8cd259-5e60-4bb2-bfd1-808ea19577bc)\n\n### **How our customers use Cuckoo**\n\nWe—_our first customer_—use Cuckoo everyday to demo and collect user feedback. Here’s how other teams use Cuckoo. \n\n* Snowflake — Hosting global customers at their Customer Experience Centers\n\n\n* PagerDuty — Troubleshooting with local cloud partners in Korea and Japan\n* ClickHouse — Team sync between the APAC and HQ office\n* dbt Labs — Webinars for APAC customers and partners\n* Weights & Biases — Hosting Seoul and Tokyo meetups with HQ executives\n\nCuckoo is also used by enterprises beyond the tech industry, including healthcare (SNOMED), manufacturing (SeAH Steel), and retail (GS).\n\n### **Asks**\n\nAre you dealing with cross-regional operations? Do you work with international customers regularly, or are you planning to expand into new markets?\n\n* **Try out Cuckoo** at [www.cuckoo.so](http://www.cuckoo.so) — your first conversation is on us!\n* **Let’s chat!** — We can hop on a quick call—we’ll speak in Korean and Japanese so you can see how Cuckoo works with different languages.\n* [**Schedule a meeting**](https://cal.com/cuckoohq/30min) — We’d love to learn more about your language challenges and how we can help. \n* **Email us** at [founders@cuckoo.so](https://mailto:founders@cuckoo.so) — Tell us how your first meeting went, and send any feedback or thoughts!\n\n### **A bit about us**\n\n[Gunwoo](https://www.linkedin.com/in/gunwooterry/) and [Yong Hee](https://www.linkedin.com/in/harryyongheelee/) first met in 2015 through a student club at KAIST, where we organized an annual international conference for undergraduate students. Since then, we have been talking about starting a company together.\n\n![uploaded image](/media/?type=post&id=87400&key=user_uploads/427995/ec2ae8db-a08a-4a52-8686-72b1923350a0)\n\n", "url": "https://www.ycombinator.com/launches/Mjg-cuckoo-real-time-ai-translator-for-global-sales-marketing-and-support", "votes": 164, "created_at": "2025-02-04T05:20:05.193Z" } ] }, { "id": 30253, "name": "Finbar", "slug": "finbar", "former_names": [ "finbar" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/79a24ae2dbf8c5f1b06b70c124868d6c9383b535.png", "website": "https://finbar.com", "all_locations": "London, England, United Kingdom", "long_description": "Finbar is high-quality financial data and intelligence, used by several of the world's largest hedge funds. It automates financial modelling, research, and data analysis so multi-million-dollar decisions can be made 100x faster.\r\n\r\nFinbar maintains its own dataset of worldwide company filings, presentations, transcripts, and more, delivering clean data from these fundamental sources within minutes of release. This data is available via web, Excel add-in, API, and MCP. \r\n\r\nOur services include: company primers and prebuilt models; AI tools for analysts to create their own research; Excel tools to build financial models in minutes and update them in seconds; API streams to integrate our worldwide data into any programmatic or agentic system.", "one_liner": "Financial intelligence for every investor", "team_size": 4, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1736618357, "tags": [ "Documents", "Fintech", "Finance", "Workflow Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "Edward & Robin have been friends for more than half their lives: King’s Scholars at Eton, undergrads at Oxford, roommates in London. Edward founded **finbar** in 2023 as a solution to the time-consuming ‘grunt’ work of his former hedge fund role, and wrote most of the MVP up to first revenue. Robin joined in 2024 to take the lead on software dev as CTO." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "A huge amount of the financial industry still runs on manual data input: thousands of workers whose job is simply to copy data from documents, build historical time series, and update models by hand. We leverage cutting-edge tech to finally automate this process, delivering more data, faster, and with much lower cost overhead." } ], "url": "https://www.ycombinator.com/companies/finbar", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/finbar.json", "year_founded": 2023, "city": "London", "country": "GB", "linkedin_url": "https://linkedin.com/company/fin-bar", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/79a24ae2dbf8c5f1b06b70c124868d6c9383b535.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 2312013, "full_name": "Edward Huang", "title": "Founder/CEO", "founder_bio": "Founder and CEO at finbar. I wrote most of the MVP but now focus product and sales.\nPreviously I was a hedge fund analyst, and before that at Goldman Sachs. CFA charterholder. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/edward-huang-cfa-8807b4149/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/399ff5e879c7c3d086da13fd0c42dc562c78e7ae.jpg" }, { "user_id": 2375293, "full_name": "Robin Gan", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO at finbar.com.\n\nPrevious to this I worked on a globally deployed cloud-native banking platform at Thought Machine.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/robin-gan-180060126", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/256b9b1bb75fa062939d144d53615bd17eec89c2.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 117886, "title": "Finbar: Financial intelligence for every investor", "tagline": "Financial data and AI tools trusted by the world's largest hedge funds", "body": "**Finbar is financial data and intelligence for the AI age.**\n\nWe’re super excited to announce our first public launch. Give us a go if you’re interested in: worldwide company fundamental data (incl. via API/MCP), AI tools for data analysis and investment research, prebuilt models, an Excel add-in for building + updating custom models, and more.\n\n**Get started at [https://finbar.com](https://finbar.com).** Read on if you're interested in how we're differentiated, and why some of the biggest investors in the world rely on us for their research processes.\n\n\n\n**---**\n\nHi! Ed and Robin here, here to announce the first general availability of Finbar. **Our mission is to give every investor (and agent) the best data and tools to conduct high-quality financial research.**\n\n_A brief recap of our journey_. We started with a single product - **reliably updating any financial model within 5 minutes of market release, without any mistakes**. Seems niche? It was - but it meant we could truly stand out to customers, solving a real burning problem that those who haven't worked in hedge funds just don't really 'get'. Over Q2 earnings season, we handled 150,000 model updates, meaning our clients (including several of the world's largest hedge funds) could go into every market-open with all of their models ready.\n\nDeveloping this product turned out to be a problem that seemed simple but actually was fiendishly difficult (not least for the data reasons discussed below). Doing so, however, has meant building some truly unique financial data and infrastructure, which we've since deployed in many other products - and now available to all investors.\n\nTwo key parts to what we do:\n\n**I. We're building the best fundamental financial dataset**\n\nUnderlying everything is our proprietary data. **We collect and ingest millions of documents across thousands of companies worldwide**: reports, presentations, transcripts. You might be surprised this is not a solved problem already. But almost all providers lack at least one of: a) breadth, b) quality, and/or c) speed. All three have been necessary to serve our clients, hence the need to build our own. And yes, we're including players like Factset, S&P and Bloomberg in this (we're often explicitly evaluated against them by our institutional clients).  \n\nSome snippets to illustrate the point:\n\n    1) _The most important fundamental datapoints are often not in 10Qs/10Ks, and rarely in a fully-structured format._ Think segment organic growth in presentation charts, conference call remarks on forward guidance, Pillar 3 banking disclosures, and a million other company-specific datapoints.\n\n    2) _>1/2 of our customers invest outside of the US._ International markets have much less structured data availability than the US, often not even a central repository, and it is where arguably there is more edge from strong fundamental data (these two facts may well be corollary)\n\n    3) _Financial data is exceptionally messy on the tail end_ - which is often also where the insights live. Understanding nuances around restatements, accounting regime changes, mergers and divestments, and all the other insane things companies do to produce messy data (sometimes on purpose) is bread-and-butter in our design. It causes many nights of hair-pulling but is the only way to actually produce great data that investors trust.\n\n**II. We're building the best financial toolkit for the AI age**\n\nUpon this data foundation is a whole range of Finbar products, built on the knowledge and experience of what professional investors actually need. This includes:\n\n* Machine-readable versions of millions of worldwide company documents\n* Fundamental time-series and datapoints on thousands of line items\n* Company primers and financial metadata\n* Prebuilt public company model XLSXs\n* A web platform for AI-automated financial data analysis, modelling, and report-writing\n* An Excel add-in to update any analyst model in seconds, and build any custom model in minutes\n* MCP and APIs to expose our fundamental data to programmatic and agentic users\n\nAnd we already have a long list of items in development with institutional partners, including macro data, supply chains, newsflow, privates and more.\n\n\\---\n\nThere’s still so much more we’ve got planned, but we’re genuinely so excited to start giving every investor the tools they need to make intelligent decisions in the AI age. So thanks for reading, and **head to [https://finbar.com](https://finbar.com) to try us out**. We’re looking forward to your thoughts!", "url": "https://www.ycombinator.com/launches/UfO-finbar-financial-intelligence-for-every-investor", "votes": 3, "created_at": "2026-10-01T14:29:23.427Z" }, { "id": 87042, "title": "finbar: your AI financial data analyst", "tagline": "Eliminate manual data entry. Update financial models in seconds.", "body": "Hi! We’re Ed and Robin, the founders of [finbar](https://finbar.com/).\n\n**Our summary**: **too many analysts across finance still rely on manually collecting and compiling data for their models - we’re here to completely automate that process.** \n\nSeveral multi-billion AUM hedge funds already use us for exactly that - but if you work with financial data in any capacity, we want to help!\n\n# finbar\n\n1. Automatically extracts and compiles data from thousands of companies globally, public and private\n2. Gives analysts tools to easily explore and reshape data for their own use cases\n3. Provides powerful automation to update models with new data in seconds\n\n**If you’ve ever spent hours copying data from a bunch of PDFs into a spreadsheet, you understand the core problem we solve!**\n\n![uploaded image](/media/?type=post&id=87042&key=user_uploads/2312013/e56da6c5-76fa-44d5-b30b-94aaedec850c)\n\n**Why can we do this better than others?** Financial data is inherently very messy – we’ve spent more than a year building a highly bespoke pipeline geared for financial data: numeric algorithms, text processing, OCR, LLMs, and more. This means in minutes we can provide complete series data from any set of documents: PDFs, Excels, websites, scans, etc.\n\nWe also understand the financial domain intimately well – our starting point has always been to build something that would have saved us hours per day as hedge fund analysts.\n\n![uploaded image](/media/?type=post&id=87042&key=user_uploads/2312013/d80aa23d-1e53-448f-8f0b-f6c2b7d47171)\n\n**Want to learn more?** [**Watch a full demo here!**](https://www.youtube.com/watch?v=DGh_3TDVb4M)\n\n**If you spend time working with financial data in any field, we believe we can save you valuable time.** We’re live with several multi-billion AUM hedge funds but are also very interested in speaking to anyone in banking, research, PE, VC, accounting, or corporate. We’d love to help you!\n\n**Head to **[**https://finbar.com/about**](https://finbar.com/about)** to request a trial – or reach out directly to **[**ehuang@finbar.com**](mailto:ehuang@finbar.com)**!**\n\n# About us\n\n**Ed** was a hedge fund analyst at Balyasny, and before that was at Goldman Sachs. He solo-founded finbar up to first revenue and now leads product and commerce. He is a CFA charterholder.\n\n**Robin** was a software engineer at Thought Machine, working on a globally deployed cloud-native banking platform. He now leads the finbar tech effort.\n\nWe’ve been close friends for 13 years, through school, then Oxford, then as roommates in London – and of course now as co-founders!\n\n![uploaded image](/media/?type=post&id=87042&key=user_uploads/2312013/e2bf30db-5b91-4870-99c5-7725c2baee31)\n\n Thanks for reading - happy modeling!", "url": "https://www.ycombinator.com/launches/Mdu-finbar-your-ai-financial-data-analyst", "votes": 33, "created_at": "2025-01-22T15:11:23.913Z" } ] }, { "id": 30254, "name": "HUD", "slug": "hud", "former_names": [ "Human Union Data", "hud", "HUD", "hud" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/53fffc4904f866d9d44ba9a47862b594f1d45667.png", "website": "https://www.hud.ai", "all_locations": "San Francisco, CA, USA", "long_description": "HUD is the platform for building high quality post training datasets. Over 50 businesses use HUD to build RL environments, sell them to AI labs, or train their own models from them.\r\n\r\nOur mission is to enable a generation of data entrepreneurs. The previous generation built apps to impact the world. 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Previously built Fundsy—financial services (cards, payments, donations) platform for nonprofit fiscal sponsorship & operations. Former intern at Amazon (worked on internal HR tool) and JuiceMind (collaborative coding education product for schools). ex-Stanford.", "is_active": true, "linkedin_url": "https://linkedin.com/in/bardiasafari", "x_url": "https://x.com/bardia_safari", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/541aa0604c113bd5518af589718f7d4ef6501fbe.jpg" }, { "user_id": 545673, "full_name": "Shrey Gupta", "title": "Founder/CTO", "founder_bio": "CTO of Olive. Previously built internal tools used to service over 400,000 cardholders/year at Capital One. Also was a SWE intern at Campsite (workplace communication startup acq'd by Notion) and NASA (satellite data infra org). Co-founded Fundsy in 2020, helping people start and fundraise for grassroots community projects. UC Davis CS dropout.", "is_active": true, "linkedin_url": "https://linkedin.com/in/shreygups", "x_url": "https://x.com/shreygups", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/29726f43cf2fbfaef76b4f1a6fc7f01ba1fb2e4e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 88136, "title": "Olive 🫒 Build internal tools with natural language", "tagline": "Olive connects to your database and 3rd-party services and builds your internal tools for you in minutes.", "body": "**Olive connects to your database and 3rd-party services and builds internal tools for you in minutes.** Just prompt it with what you need.\n\n[Introducing Olive:](https://youtu.be/UVM4ty9nUDI)\n\n# **Problem**\n\nInternal tools are incredibly valuable for companies and startups of every size—they give you valuable insights on what’s going on inside your product and speed up complex workflows. Unfortunately, building them is still a pain.\n\nCompanies either:\n\n1. Take time to build these from scratch\n2. Use existing providers and sometimes spend hours building a dashboard (it should take minutes).\n\nOften times, they **know** these tools are needed, but it feels wrong to move engineering time away from what matters most: the actual product. Thus, the solution is to either put it in the backlog, or dedicate time building and forever maintaining them.\n\n# **🫒 Our Solution**\n\nWith Olive, building these internal tools will take minutes.\n\nYou can connect your data sources during onboarding, and select which one Olive should read and generate around for each tool. **Olive will examine your database schema, write appropriate queries, and generate + deploy a full-stack internal tool.**\n\nWe’ve been hard at work to ensure the results are consistently high-quality, so that we can use this product ourselves. We’re excited to accept users off our waitlist in the coming weeks, as we support more database integrations and features.\n\n# **Our Ask**\n\nWe’d love to have you on our waitlist — [fromolive.com.](https://fromolive.com/)\n\nIf you’re curious about our product, want to explore use cases, or want to chat about anything internal tool related, feel free to email us at [**team@fromolive.com**](mailto:team@fromolive.com).\n\n# **Team**\n\nWe ([**Bardia**](https://www.linkedin.com/in/bardiasafari) and [**Shrey**](https://www.linkedin.com/in/shreyguptaoc/)) have known each other for almost 6 years (since high school) and realized how much we loved creating products that users love while building Fundsy—a fiscal sponsorship and financial services platform for community projects.\n\n**Bardia**\n\nBardia has previously done software engineering internships at Amazon (working on an internal HR tool) and JuiceMind (helping build a collaborative coding education product for schools). Ex-Stanford.\n\n**Shrey**\n\nShrey was previously a software engineering intern at Capital One where he built internal tools used to service over 400,000 cardholders/year. He was also a SWE intern at Campsite (workplace communication startup acq'd by Notion) and NASA (satellite data infra org). Ex-UC Davis CS.\n\n![uploaded image](/media/?type=post&id=88136&key=user_uploads/595992/59022972-b651-4241-b927-c467b5805ecb)\n\n", "url": "https://www.ycombinator.com/launches/MvY-olive-build-internal-tools-with-natural-language", "votes": 50, "created_at": "2025-02-28T00:51:31.181Z" } ] }, { "id": 30256, "name": "PAX Markets", "slug": "pax-markets", "former_names": [ "PAX Markets, Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/05c8cff591b86d49ecb387cae532233ca6d248ee.png", "website": "https://pax.markets/", "all_locations": "San Francisco, CA, USA", "long_description": "PAX delivers more 𝛼 with its in-silicon exchange and HFT technology. The PAX on-chip λ API provides deterministic nanosecond tick-to-trade latency. HFT λ traders experience non-adverse counterparty selection by pairing with free-tier traders who access PAX using our zero-cost and rebated API.\r\n\r\nUsing our patented technology, PAX is building a new generation of exchange co-lo facilities that unite HFT with exchange.", "one_liner": "Co-located trading facility and matching engine on one chip.", "team_size": 6, "industry": "Fintech", "subindustry": "Fintech -> Banking and Exchange", "launched_at": 1738613936, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Fintech", "Banking and Exchange" ], "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/pax-markets", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/pax-markets.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/pax-markets/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/05c8cff591b86d49ecb387cae532233ca6d248ee.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": 1537672, "full_name": "Pete Stevenson", "title": "Founder/CEO", "founder_bio": "CEO at PAX. High frequency crypto trader. Ultra low-latency FPGA trading at Citadel Securities. U.S. Navy officer, nuclear powered fast attack submarine. Participated in two exited startups: HICAMP acquired by Intel and Pixie acquired by New Relic.\n\nPh.D., Stanford, electrical engineering. B.S. U.S. Naval Academy.\n\n\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/etepnosnevets", "x_url": "https://x.com/pax_pax_pax", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3c46d5820133125d0a6323d086864df76140b559.jpg" }, { "user_id": 2226869, "full_name": "Benjamin Kilimnik", "title": "Founder", "founder_bio": "CTO at PAX. High frequency crypto trader. Smart contract trader. Cryptography and systems researcher at Brown. Distributed systems software at New Relic. Privacy engineer at Pixie Labs, startup exited to New Relic.\n\nB.S. Brown University, computer science.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/benkilimnik", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/418e2aa3dc81753a08e8a31728529c5030b37768.jpg" } ], "jobs": [ { "id": 76180, "title": "Founding Hardware Engineer", "url": "https://www.ycombinator.com/companies/pax-markets/jobs/uzbhpCT-founding-hardware-engineer", "location": "Redwood City, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$150K - $200K", "equity_range": "0.25% - 0.50%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "C++", "Rust", "Verilog", "VHDL" ] }, { "id": 76181, "title": "Founding Software Engineer", "url": "https://www.ycombinator.com/companies/pax-markets/jobs/gyUxpoz-founding-software-engineer", "location": "Redwood City, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$150K - $200K", "equity_range": "0.25% - 0.50%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "C++", "Rust" ] }, { "id": 79068, "title": "Founding Principal Hardware Engineer", "url": "https://www.ycombinator.com/companies/pax-markets/jobs/qv4p3Al-founding-principal-hardware-engineer", "location": "Redwood City, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$200K - $225K", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "C++", "Rust", "Verilog", "VHDL" ] } ], "news": [], "launches": [ { "id": 87536, "title": "PAX: a crypto exchange on a chip, faster and smaller than a datacenter.", "tagline": "PAX makes high frequency faster and every trade cost less.", "body": "![uploaded image](/media/?type=post&id=87536&key=user_uploads/1537672/ad765eb6-33b3-49a2-8ba2-6bd94e05b5a2)\n\n**Exchange on a chip, not a datacenter**\\\nPAX is a new crypto exchange and is the first – in all capital markets – to operate from a single chip rather than an entire datacenter. PAX moves traders to within nanometers of the exchange – closer than ever before possible.\n\nSuch proximity unlocks unprecedented value to high frequency customers and PAX shares this value by offering zero-fee with cash-back to every other market participant on every trade. PAX is to exchange as Robinhood was to retail brokerage: the first in the industry to “go to zero” and a complete game changer for every asset class.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcmtCHC9EMMhzvyg5KeqhhUmDEjLnfaq9-SvMKoEvFQ869a9RnAlvZFdSvtWD6MBeT-L5KQPA9GHq0yzYbnSogD9YIIUR4zlxb0B33xGQu9svZ7u-Udin90V5yiUAZMRRuhSswM?key=Wo65vyZF0x9uq4uM0lkuHGQM)\n\n\\\n**The value of speed & proximity**\\\nAcross all financial markets, there is an arms race for speed. High frequency trading (HFT) firms spend billions of dollars to minimize latency, i.e., to sit as close as possible to exchanges (co-locate) and respond as quickly as possible to new exchange-published market signals.\n\n\\\n**Faster than any exchange, for any asset, anywhere**\\\nPAX is building core exchange technology into a chip. PAX is faster than NYSE, NASDAQ, Deutsche Börse, EDX, Crossover, Binance, OKX. Name any exchange: PAX is faster – not by a little, but by orders of magnitude.\n\nThe fastest exchanges today boast a 30 microsecond round-trip latency. PAX crunches that to 30 nanoseconds (1000x faster).\n\n\\\n**The PAX λ API: programmatic access to ultra-low latency**\\\nIn trading, speed is king. The PAX λ API provides the fastest tick-to-trade latency possible.\n\n![uploaded image](/media/?type=post&id=87536&key=user_uploads/1537672/ed004a70-b866-4713-8047-7c6b292c2d45)\n\nThe λ API enables traders to programmatically launch orders from within the same chip that hosts the PAX exchange. This proximity to the market – placing participant trading logic nanometers from the exchange – is extremely valuable and de-risks HFT market making strategies.\\\nhttps://pax.markets/blog/lambdas\\\nhttps://pax.markets/blog/lambda_use_cases\n\n\\\n**Zero-fee + cash-back: sharing the value & building liquidity**\\\nTrading at PAX is faster, and costs less. Our baseline price is zero, with cash back on every trade.\n\nHow can we do that? We sell speed: zero-cost trading with cash-back is financed by our opt-in fee based λ API. We look at it like this: PAX is selling speed and buying order flow.\\\nhttps://pax.markets/blog/rebates\n\n\\\n**Better market structure**\\\nPAX offers fresh insight into how capital markets should be structured. Behind the technology (exchange on a chip) and the new business model (zero-fee + cash-back) is a nuanced thought process. PAX market structure provides a better alternative to existing systems by adding price competition alongside incentive mechanisms.\\\nhttps://pax.markets/blog/pfof\n\n\\\n**Driving market efficiency across all assets**\\\nPAX is just getting started. Crypto is growing and evolving – it is an asset class with early adopters. PAX will relentlessly pursue its technology beyond crypto: in all electronically traded assets, markets, and geographies.\n\n\\\n**A preview of our “next year” Super Bowl spot**\\\nhttps://youtu.be/ExMOrOI2DFI\n\n\\\n**PAX founders**\\\nPete and Ben have years of experience trading across traditional and non-traditional markets.\n\nPete ([link](https://www.linkedin.com/in/etepnosnevets/)) helped build the world's fastest futures trading strategy using custom silicon at Citadel Securities, and more recently, he worked with a small team running quant research for crypto HFT across multiple CEX and DEX venues.\n\nBen ([link](https://www.linkedin.com/in/benkilimnik/)) was a high frequency crypto and smart contract trader. He’s worked on distributed systems at Pixie Labs (acq. by New Relic) and was a cryptography/systems researcher at Brown.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXft6pycITM9yuddOAFhCm-TaVA6Rqyk-OFHZCGULxtfr-vnvc3SCVQB7FLhmCWb7xbN_kxvYPmRNRVni8VoLqm4wsSBUIpbi4qcyI7avMLioBXZ-6gGcnCaAMWF-3w2lT7G_yMWDQ?key=7hHCqkS189LUBZ_ANR3SMQG4)\n\nPAX Founders, Ben and Pete, filming our YC application video at the corner of Wall & Broad, New York, NY (NYSE in the background).", "url": "https://www.ycombinator.com/launches/Mls-pax-a-crypto-exchange-on-a-chip-faster-and-smaller-than-a-datacenter", "votes": 60, "created_at": "2025-02-13T22:52:37.976Z" } ] }, { "id": 30257, "name": "Pave Robotics", "slug": "pave-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/928589de1c658eafaba5d1b3f60eee04d58ffa36.png", "website": "https://pave-robotics.com", "all_locations": "San Francisco, CA, USA", "long_description": "Pave Robotics builds robots that seal cracks in asphalt, helping paving companies save time and money. Our robots work 24/7 and deliver higher-quality results than humans.", "one_liner": "Robots that repair roads", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1738630910, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "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/pave-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/pave-robotics.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/pave-robotics/", "x_url": "https://x.com/Pave_Robotics", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/pave-robotics", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/928589de1c658eafaba5d1b3f60eee04d58ffa36.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": 1490740, "full_name": "Josh Kelly", "title": "Founder/CEO", "founder_bio": "CEO at Pave Robotics. Former Mechatronics Engineer at Zipline and Head of Engineering for Mark Rober. Designed and built autonomous porch pirate traps called glitterbombs, and a robot that set up 100,000+ dominoes in 24 hours.\nBachelor's in Mechanical Engineering from Stanford University.", "is_active": true, "linkedin_url": "https://linkedin.com/in/joshak18", "x_url": "https://x.com/JoshAKelly", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6869b56329abedbb2d781430858faceea9ab3b9d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87567, "title": "Pave Robotics - Robots that repair roads", "tagline": "Meet Tracer, the world's first fully autonomous crack sealing robot.", "body": "# **TL;DR**\n\n[Pave Robotics](https://pave-robotics.com) builds robots that seal cracks in asphalt, making road repair cheaper and easier. Our robots work 24/7 and deliver higher-quality results than humans.\n\n​​https://www.youtube.com/watch?v=N8by_u9C8ZI\n\n![uploaded image](/media/?type=post&id=87567&key=user_uploads/1490740/f65f62fa-f633-4d9a-8faf-f349f7c0eaec)\n\n# **The Problem**\n\nAmerica’s roads are in crisis. 42% are in mediocre or poor condition, despite $27 billion being spent annually on maintenance. The process of fixing these roads is slow, expensive, and increasingly difficult due to an aging workforce and labor shortages. Moreover, extended road closures for repairs are dangerous and cause major traffic disruptions.\n\n# **The Solution**\n\nMeet Tracer, a fully autonomous robot that performs asphalt crack sealing faster and more effectively than a crew of six people. Tracer operates 24/7, helping paving companies increase efficiency, reduce costs, and minimize road closures.\n\n![uploaded image](/media/?type=post&id=87567&key=user_uploads/1490740/0ea5436e-38dd-4f2b-aeb4-3a3932416ef0)\n\n# **Why start with cracks?**\n\nCrack sealing is the first line of defense against bad roads, but we plan to expand into other forms of road maintenance and paving in the future. We envision a future where roads are continuously kept in pristine condition—and we're building the robots to make that possible.\n\n# **Our ask**\n\nIf you know anyone in the following categories we would love an introduction! Email us at [founders@pave-robotics.com](mailto:founders@pave-robotics.com)\n\n* Paving companies\n* State or local departments of transportation\n* State or local public works departments\n* Private equity firms buying paving companies\n* Large private parking lot or road owners\n\n# **Team**\n\n[Josh Kelly](https://www.linkedin.com/in/joshak18/) and [Mason Landon Smith](https://www.linkedin.com/in/mason-landon-smith/) met while working for the YouTuber [Mark Rober](https://www.youtube.com/channel/UCY1kMZp36IQSyNx_9h4mpCg). Josh led the YouTube team as head of engineering, while Mason was the founding product designer for Crunch Labs. \n\nJosh is a Stanford graduate with a background in Mechatronics at companies like Zipline and NASA JPL. Mason graduated from the Rhode Island School of Design and has a strong track record of building successful products and teams that have gone to market and won multiple awards.\n\nTogether, they created Pave Robotics, with the goal of revolutionizing the way roads are maintained.\n\n![uploaded image](/media/?type=post&id=87567&key=user_uploads/1490740/2b6d6580-1bcd-4f5b-922e-97d27f3ff299)\n\n", "url": "https://www.ycombinator.com/launches/MmN-pave-robotics-robots-that-repair-roads", "votes": 64, "created_at": "2025-02-11T15:12:10.695Z" } ] }, { "id": 30258, "name": "Gale", "slug": "gale", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b4d879e54fc4f7ad192906cf1b7d462aa4f207b9.png", "website": "https://galevisa.com", "all_locations": "San Francisco, CA, USA", "long_description": "Gale is an immigration tech platform that makes immigration simple for US companies. We've simplified the visa application process, streamlined compliance, and can integrate with HR systems - saving teams time, money and headaches. Through automation, we enable the independent attorneys we coordinate with to maintain quality whilst being more efficient.", "one_liner": "Fast and Data-Driven Immigration Platform", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1737265835, "tags": [ "B2B", "Legal", "HR Tech", "Immigration", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/gale", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/gale.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/galeapp/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b4d879e54fc4f7ad192906cf1b7d462aa4f207b9.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": 1760440, "full_name": "Rahul Gudise", "title": "Founder/CEO", "founder_bio": "Automating business visas for American employers, starting with the H-1B. Previously built Canada's first instant immigration PDF filler and automation suite. Ex NVIDIA and Tesla. CS @ Waterloo.", "is_active": true, "linkedin_url": "https://linkedin.com/in/rahulgudise", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e7a0a410936b204c87c9597359a018eb1759c945.jpg" }, { "user_id": 1751117, "full_name": "Haokun Qin", "title": "Founder/CPO", "founder_bio": "Immigrated twice in the last 20 years, now building the data-driven platform for immigration. Math @ Waterloo, ex-MLE @ Viavi.", "is_active": true, "linkedin_url": "https://linkedin.com/in/haokun-qin", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4a84027d6452f0160b9f2088a10e0a307ed3a294.jpg" }, { "user_id": 1997743, "full_name": "Rishabh Sambare", "title": "Founder/CTO", "founder_bio": "Currently working on simplifying the H-1B process for startups at Gale. Studied Math & CS at the University of Waterloo. Previously built automations for Canadian immigration forms, worked on energy trading at Tesla, and improved matching algorithms for the Waterloo co-op program. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/rishabhsamb", "x_url": "https://x.com/rishabh_sambare", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d6a39e7b6c9adbc27a728562b41fc1908ba69c3c.jpg" } ], "jobs": [ { "id": 116966, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/gale/jobs/9hcjXdD-software-engineer", "location": "Vancouver, BC, CA / Vancouver, British Columbia, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$110K - $130K CAD", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [ "PostgreSQL", "React", "TypeScript", "Terraform" ] } ], "news": [], "launches": [ { "id": 88070, "title": "Gale - Fast and Data-Driven Business Immigration", "tagline": "Immigration platform for US employers", "body": "Gale is a tech platform that automates the entire H-1B application and compliance process for US employers, with independent licensed attorneys ensuring accuracy at all steps.\n\nhttps://youtu.be/tmMnGLIa3fs\n\n### **The Problem**\n\n![uploaded image](/media/?type=post&id=88070&key=user_uploads/1751117/82978c7b-fae9-48b4-8b08-a909d1852a7c)\n\n_An email from a founder in W25 to their immigration law firm (name redacted to protect the guilty)_\n\nWe’ve talked to enough employers to know dealing with immigration sucks. Here’s why:\n\n* Slow response times from lawyers (1-3 business days at least)\n* No help on complex compliance requirements after visa approval\n* Knowledge transfer and communication done via email or janky web forms\n* Confusing questionnaires or document checklists\n\n### **The Solution**\n\nWe help US employers spend as little time as possible worrying about H-1Bs and how to be compliant. Here’s how:\n\n* Fast online data intake process with AI-powered document intake that auto-fills your application\n* Easy to follow tooltips and comprehensive FAQ \n* Automated H-1B compliance for you and your team even after H-1B approval\n* An **experienced immigration lawyer** handles and reviews each individual case with the same level of scrutiny as a law firm\n* Fast turnaround time for legal questions\n* We use english, no legal jargon\n\n### **Moving forward**\n\nH-1Bs are just the beginning. We’ve already started working on expanding our offering to help both consumers and businesses with other types of visas such as O-1s, Fs, Ks and TNs. The US immigration service market isn’t built for the 21st century, and we believe by using a mix of AI and professionals in the loop we can change that.\n\n### **Our Ask**\n\n**Know someone who is hiring or has hired H-1B workers?** Whether it’s a startup, SMB, enterprise, university, or nonprofit, we’d love an introduction! You can email us at [**rahul@getgale.app**](mailto:rahul@getgale.app).\n\nWe’d also appreciate it if you could share this post, or our demo video and follow us on [**LinkedIn**](https://www.linkedin.com/company/galeapp) to stay updated on our journey!\n\n### **Team**\n\nRahul (CEO), Rishabh (CTO), and Haokun (CPO) have been building together since middle school and later studied at the University of Waterloo. After working at companies like NVIDIA and Tesla, they experienced the inefficiencies of the immigration process firsthand and decided to automate it.\n\n\\\nGale founders from left to right: Haokun, Rahul, Rishabh:\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXchLNzKn3_48N25g3_X4dRxX7YLxU7jiQvK2oPpTRAD8MSvQpwG-C8AYDXUl0bRAbXYUgDD1ZukDf8MyOi_E_Z8iST3bgX5WzFKloRnlM4U1ZAkXWiM_4gyQd96ak32EO1-X3k?key=i0Gf8e5jxOhwPvU53uxZ6q3Z)\n\n", "url": "https://www.ycombinator.com/launches/MuU-gale-fast-and-data-driven-business-immigration", "votes": 38, "created_at": "2025-02-26T18:47:13.872Z" } ] }, { "id": 30259, "name": "Asteroid", "slug": "asteroid", "former_names": [ "Entropy Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4598dd293d773fa0a9a1c72940f2f2e3153dda35.png", "website": "https://asteroid.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Asteroid is the AI-powered integration layer for healthcare. One connector for EHRs, payer portals, and legacy desktop systems, with 100+ pre-built integrations that go live in days, not months. Built for developers and operations teams, with integrations that maintain themselves.", "one_liner": "The integration layer for healthcare: EHRs, payer portals & more ", "team_size": 6, "industry": "B2B", "subindustry": "B2B", "launched_at": 1734639467, "tags": [ "Robotic Process Automation", "Health Tech", "B2B", "Automation", "AI" ], "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/asteroid", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/asteroid.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/asteroidai/", "x_url": "https://x.com/asteroid_inc", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/asteroid-9e1c", "github_url": "https://github.com/asteroidai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4598dd293d773fa0a9a1c72940f2f2e3153dda35.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/223c518cbae6486dd03a7709aace37e8071aae3d.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/5d89729aa0ccb3844b77004c5ef19da6ccbad2c0.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 1651915, "full_name": "David Mlcoch", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of Asteroid.\n\nI have a background in AI (Edinburgh University), autonomous agents (Co-founder and CTO of Trident AI), robotics (CTU, NTU, TAU) and space (EUSPA, SpaceKnow). I like sports, history and building things.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/davidmlcoch/", "x_url": "https://x.com/MlcochDavid", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a26cbf3a786ad8b0e9929f7d4d24e685714a3907.jpg" }, { "user_id": 1891505, "full_name": "Joe Hewett", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO of Asteroid. \n\nPreviously cybersecurity at Netcraft, where I created novel methods using LLMs to map and disrupt hundreds of millions of dollars of fraud. I have published academic work on the use of LLMs in cybersecurity", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joehewett/", "x_url": "https://x.com/simulated_land", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/425461b5427ba1aa60f5e01d3aceeb1696c688c4.jpg" } ], "jobs": [ { "id": 114163, "title": "Forward Deployed Engineer (Healthcare)", "url": "https://www.ycombinator.com/companies/asteroid/jobs/tYlxU3M-forward-deployed-engineer-healthcare", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "AI engineer", "salary_range": "$120K - $160K", "equity_range": "0.20% - 0.35%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "LLMs", "AI Agents", "Playwright" ] } ], "news": [], "launches": [ { "id": 96061, "title": "Asteroid: AI Builder for complex Browser Agents", "tagline": "Build self-healing AI browser agents in minutes. Ops build, developers deploy, Asteroid self-improves.", "body": "### **TL;DR**\n\n**Asteroid** is the fastest way to build self-healing browser agents, no technical experience required. \\\n\\\nOur new **AI agent builder**, **Astro**, allows you to build **complex, multistep browser agents** by building an agent graph, writing prompts, adding tools, human in the loop and guardrails.\n\nThis makes Asteroid agents suitable for **mission-critical workflows**, and more than **25 businesses** already use them in healthcare, insurance, and beyond.\\\n\\\n**Astro** **is fully available, build your agent [here](https://platform.asteroid.ai/)!**\n\nhttps://youtu.be/ugY_qLTfmG8\n\n### **What is the problem?**\n\nStartups need to integrate with external portals (carriers, suppliers, healthcare) but can’t wait months for APIs.\n\nMany great browser-agent frameworks have emerged in the past year, but **non-technical teams still can’t build production-grade agents.**\n\nOperations leaders, PMs, and founders are the ones who **understand the workflows and edge cases** and _should_ be the builders. Relying on developers to constantly fix prompts for every new edge case isn’t sustainable.\n\n![uploaded image](/media/?type=post&id=96061&key=user_uploads/1651915/d73eee4d-bcc6-461f-953e-6fdd56374905)\n\n### **Solution: Astro - AI Builder for Complex Browser Agents**\n\nToday we’re launching **Astro**, our AI builder that lets anyone create **complex, self-healing browser agents in under 2 minutes**. Tell Astro what you want, for example _“Build an agent to pull patient data from this EHR”_, and it generates the full agent.\n\n![uploaded image](/media/?type=post&id=96061&key=user_uploads/1651915/53714daf-535a-450a-8a76-82eb70d43007)\n\n**Astro improves the agent using previous runs.** Behind the scenes, it writes code when needed, including Playwright scripts for deterministic steps, giving everyone code-level reliability.\n\n![uploaded image](/media/?type=post&id=96061&key=user_uploads/1651915/62627740-6f1e-47ce-a197-917e01ceade7)\n\nEvery part of the agent, including graphs, prompts, and model settings, is fully visible so you can make precise, surgical edits whenever needed.\n\n### **How does it work**\n\n1. **Build:** Non-technical teams create agents directly in the platform. Astro generates the prompts, agent graphs, and tools needed to handle even the most complex browser workflows.\n2. **Deploy:** Developers drop in a single code snippet to call the agent through Asteroid’s API/SDKs.\n3. **Supervise:** Monitor live sessions, review recordings, track performance, and trigger human-in-the-loop via Slack when needed.\n4. **Improve:** Non-technical teams update prompts and ship new agent versions instantly as workflows change.\n\n### **Ship your first agent today**\n\n**Astro** **is fully available, try it for free [here](https://platform.asteroid.ai/) or book a [demo](https://cal.com/asteroidai/15min) with a founder!**", "url": "https://www.ycombinator.com/launches/OzN-asteroid-ai-builder-for-complex-browser-agents", "votes": 228, "created_at": "2025-12-09T22:31:58.000Z" }, { "id": 88012, "title": "Asteroid: Browser Agents with Human Oversight", "tagline": "Browser workflow automation for regulated industries", "body": "**Asteroid makes browser automation seamless for regulated industries.** Not only developers but also non-technical teams can **build and run our browser agents with Asteroid**, turning 45-minute manual tasks into 2-minute automated processes.\n\nOur browser agents can navigate legacy portals, fill out forms, and extract data—all without brittle scripts, high costs, or maintenance headaches.\n\n![uploaded image](/media/?type=post&id=88012&key=user_uploads/1651915/50a0915f-b720-4fff-923b-0b84e6017098)\n\n### **The Problem**\n\nTraditional automation tools like RPA are too expensive for non-enterprise customers, **costing $10,000 per automation**. Meanwhile, scaleups especially in high-risk industries like insurance or healthcare lack the resources to maintain Selenium or Playwright scripts, as these frequently break due to UI changes and the automations need to be extremely reliable.\n\n### **The Solution**\n\nBrowser agents bridge this gap—offering the flexibility of scripting with the reliability of RPA. With 2025’s computer use models, **web automation is now 100x cheaper and more robust, unlocking thousands of new use cases.**\n\n### **How It Works**\n\n**Asteroid transforms any browser task into an agentic workflow.** Simply show Asteroid what to do—via a screen recording, SOP, or written instructions—and get an agentic workflow. You can then call it through our web UI or API.\n\nBehind the scenes, Asteroid spins up a secure, headless browser, handles authentication, executes workflows, and seamlessly integrates human review when needed—all without burdening your developers. We ensure the agent improves over time.\\\n🔗 [Watch Asteroid in action](https://www.youtube.com/watch?v=26uksP36xB4)\n\n![uploaded image](/media/?type=post&id=88012&key=user_uploads/1651915/fa0c7345-c244-4270-8c56-c905072f93ea)\n\n### **Highlighted Features**\n\n🔹 **API-First Automation** – Trigger a browser agent in a web UI or with a single API call—no need for complex scripts or RPA setups.\\\n🔹 **Human-in-the-Loop** – Automate only where it’s safe, with built-in escalation for manual review when needed.\\\n🔹 **Intelligent Guardrails** – Set rules like “Never click this button” or “Ask before submitting” to prevent errors.\\\n🔹 **Continuous Learning** – Asteroid evaluates every execution, adapting to website changes and improving over time using evaluations and backtesting.\n\n### **How We Got Here**\n\nWe’re both AI engineers who had to solve the same problem independently. Joe built AI systems that stopped $100M+ in fraud annually. David developed fraud investigation agents for fintechs.\n\nAfter years of building mission-critical automation, we learned that automation only works with intelligent guardrails, human oversight, and continuous learning.\n\nWe first built Asteroid as a developer tool for safe AI deployment—offering guardrails, human-in-the-loop workflows, and continuous evaluations. But we quickly realized:\n\n\\*\\*Browser agents need these safeguards even more.\\*\\*\\\n✅ **Guardrails** – \"Don’t click on this.\"\\\n✅ **Human oversight** – \"Ping me before you submit.\"\\\n✅ **Continuous learning** – \"The website changed—adapt.\"\n\nInstead of just developer tools, we’ve shifted to building browser agents with safety and reliability baked in!\n\n![uploaded image](/media/?type=post&id=88012&key=user_uploads/1651915/e9051949-8032-4fc5-951d-1fb8361ba3e1)\n\n### **Real-World Use Cases**\n\nWe’re working with customers to automate high-value workflows like:\n\n🔹 **Insurance Portal Automation** – Retrieve broker quotes across insurer portals—without manual input.\\\n🔹 **Supply Chain Scheduling** – Log into carrier platforms, retrieve GPS data, and schedule deliveries—seamlessly.\\\n🔹 **Expense Management** – Pull PDF bills from utility portals for expense tracking—without APIs.\n\n### **Who is Asteroid for?**\n\n🔹**Businesses with Heavy Manual Browser Workflows** – Automate large-scale data entry, form submissions, and repetitive portal interactions.\\\n🔹**Regulated Businesses using Legacy Systems** – Streamline automation for industries like insurance, healthcare and supply chain.\\\n🔹**AI Agent Startups** – Enable AI agents to reliably interact with legacy portals and automate browser tasks.\n\n### **Get Started**\n\n**Have a repetitive workflow you'd love to automate?** Let’s explore how Asteroid can help!\\\n🔹 [Schedule a demo](https://calendly.com/founders-asteroid-hhaf/30min?month=2025-02) to discuss your use case!\\\n🔹[Try our default agents](https://platform.asteroid.ai/) and see browser automation in action!", "url": "https://www.ycombinator.com/launches/MtY-asteroid-browser-agents-with-human-oversight", "votes": 19, "created_at": "2025-02-25T16:20:12.618Z" } ] }, { "id": 30260, "name": "Macadamia", "slug": "macadamia", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/14d848dfe9773db91848e15d445887906f2df14e.png", "website": "https://macadamialabs.com", "all_locations": "Ghent, Flanders, Belgium", "long_description": "Macadamia builds AI agents for complex engineering projects. \r\nThey automate both engineering & business processes, to automate away all low-leverage work.\r\nIt integrates with all engineering data sources, technical documentation, and third-party software tools.\r\nMacadamia serves customers in mechanical engineering, manufacturing, and construction.", "one_liner": "AI Agents for Complex Engineering Projects", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1737733063, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Belgium", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Software engineers are being automated in real-time, but for engineers that operate in the physical world those AI agents still don’t exist.\\\r\nNevertheless engineering teams are often bottlenecked by administrative workflows, instead of actual engineering.\\\r\nWe want to free them from those, by creating AI agents that do the boring but necessary work. " }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "A world where human engineers work together with AI engineers.\\\r\nWhere human engineers can operate without limitations and focus on designing and making decisions." } ], "url": "https://www.ycombinator.com/companies/macadamia", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/macadamia.json", "year_founded": 2025, "city": "Ghent", "country": "BE", "linkedin_url": "https://www.linkedin.com/company/105566815/", "x_url": "https://x.com/macadamialabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/14d848dfe9773db91848e15d445887906f2df14e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ed98d970d99467032ad31c22814edfdb8ad92218.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1605924, "full_name": "Abel Van Steenweghen", "title": "Founder/CEO", "founder_bio": "Building agents for complex engineering projects.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/abelvs/", "x_url": "https://x.com/avansteenweghen", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b13df2882133a79c726cbd96fee395ada36a8f07.jpg" }, { "user_id": 2227066, "full_name": "Brecht Pierreux", "title": "Founder/CTO", "founder_bio": "Building an AI Mechanical Engineer to fix technical projects. Previously SpaceX and NASA JPL. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/brecht-pierreux-54b327181/", "x_url": "https://x.com/bpierreux", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d444bf6b8708ca9abaf99f798dd912e5b28ab413.jpg" } ], "jobs": [ { "id": 79875, "title": "Founding Engineer (Full-Stack)", "url": "https://www.ycombinator.com/companies/macadamia/jobs/JhBLKe5-founding-engineer-full-stack", "location": "San Francisco, CA, US / Ghent, Flanders, BE", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$80K - $160K", "equity_range": "1.00% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "PostgreSQL", "Python", "TypeScript", "Next.js" ] }, { "id": 88063, "title": "Founding GTM Lead ", "url": "https://www.ycombinator.com/companies/macadamia/jobs/0FN5u8j-founding-gtm-lead", "location": "Ghent, Flanders, BE / Remote", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$60K - $100K", "equity_range": "1.00% - 2.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 88105, "title": "Macadamia: an AI Mechanical Engineer", "tagline": "Building AI agents that fix technical issues early in complex mechanical projects. ", "body": "Hi YC, we’re Brecht and Abel from Macadamia, combining expertise in AI and Aerospace Engineering.  \n\n**⚠️ The Problem**\\\nAt SpaceX, Brecht saw firsthand how information gaps between engineers and outdated technical documents from contractors caused errors worth thousands of dollars. Engineers deal with complex workflows, lengthy technical documents, coordination of suppliers, and more. This causes errors every day—often preventable, yet they still cause costly delays.\n\n**✅ Our Solution**\\\nMeet Cooper – an AI Mechanical Engineer that detects and fixes design errors in large engineering teams. Cooper scans your project files (drives, emails, CAE/CAD tools) to flag design errors before they escalate. By integrating with engineering software, our agent fixes design issues automatically in complex workflows.\n\n\n\n**👑 The Team**\\\nWe combine experience in AI and Engineering:\n\n* **Abel**: MSc Computer Science (TU Delft) and previously built AI startups\n* **Brecht**: MSc Mechanical Engineering (ETH Zurich | Caltech) and worked at SpaceX and NASA JPL\n\n**🔥Our Ask**\\\nWe’d love to connect with engineering leaders in mechanical, civil, and aerospace engineering to implement Cooper in their technical projects. Please reach out to [founders@macadamialabs.com.](https://mailto:founders@macadamialabs.com)", "url": "https://www.ycombinator.com/launches/Mv3-macadamia-an-ai-mechanical-engineer", "votes": 22, "created_at": "2025-02-27T15:06:01.099Z" } ] }, { "id": 30261, "name": "Lucid", "slug": "lucid", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1d7946ea974cf7a753814028e684ac774c9c4073.png", "website": "https://lucid.ai", "all_locations": "San Francisco, CA, USA", "long_description": "We are building universe simulations powered by interactive video models.\r\n\r\nWe train video models that simulate hyper-realistic environments with immersive control, replacing hard-coded game or physics engines with dynamic neural networks.\r\n\r\nWe built the fastest action-conditioned diffusion video model (running at 20+fps on a 4090 gaming gpu) to simulate minecraft. It is 5x faster than other minecraft World Models and was trained with 100x less resources. Our unique insight was relying on aggressive compression in our tokenizer (128x versus the traditional 8x), and because attention scales quadratically with # of tokens our model can run blindingly faster.\r\n\r\nNow we’re training a hyper realistic world model!", "one_liner": "interactive video models", "team_size": 3, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1738541860, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Consumer" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lucid", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/lucid.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1d7946ea974cf7a753814028e684ac774c9c4073.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1134468, "full_name": "Rami Seid", "title": "Founder/CTO", "founder_bio": "A high school dropout who got his first internship as an MLE at a robotics lab, I went on to become the CTO of a govtech contracting company. After that, I cofounded my own telecommunications company while doing ML work on the side. Now I'm building a universe simulator at Lucid.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rami-mohammed-seid/", "x_url": "https://x.com/rami_mmo", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/581c59e8f0c2b52af465f64bb8b3807a50b49d44.jpg" } ], "jobs": [ { "id": 78799, "title": "Member of Technical Staff", "url": "https://www.ycombinator.com/companies/lucid/jobs/j3REzcP-member-of-technical-staff", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $250K", "equity_range": "0.50% - 1.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Python", "Distributed Systems", "Deep Learning" ] } ], "news": [], "launches": [ { "id": 87783, "title": "Lucid: Generative Simulations powered by Fast World Models", "tagline": "Unbounded video games and fully differentiable reinforcement learning gyms", "body": "Hey YC! We’re **Alberto and Rami**, the founders of **Lucid**.\n\n\n\nWe’re building generative simulations powered by fast world models. Instead of using traditional game engines with hard-coded physics, our models **learn to simulate reality from pixels**, enabling **real-time interactive environments**. With it we will train robots in their own imaginations and make unbounded gaming experiences. We trained the fastest world model ever seen to simulate minecraft end-to-end (20+fps on a gaming GPU).\n\n### **The Problem: Game Worlds Are Static & Expensive to Build**\n\nModern game development is **slow, expensive, and constrained**:\n\n* **GTA V took 3 years, 1,000 employees, and $100M+** to build—AAA game budgets are skyrocketing and they’re not getting any better.\n* Despite the price tag, these games are inherently **static**, with **predefined** environments, objects, and interactions.\n* Players can’t truly shape the world—every door, street, and event is **pre-scripted**.\n\nMeanwhile, **robotics** faces its own **bottleneck**—AI models trained in simulators (MuJoCo, Isaac Sim, Gazebo) **fail to generalize to the real world (Sim2Real gap)** because today’s simulations are **hand-coded approximations** of physics rather than learned from real-world data.\n\n### **Our Solution: Generative World Models**\n\nLucid replaces **traditional game engines** with a **generative simulation engine** that **learns from data** rather than being manually programmed.\n\n* **Every frame is generated in real-time**, conditioned on player actions.\n* **Trained on video, not game scripts**—our models learn the rules of physics **directly from pixels** rather than hardcoded logic.\n* **Infinite, dynamic game worlds**—players can generate and explore entirely new environments just from a text prompt or sample concept art.\n\n### **A Neural Minecraft Simulator**\n\nWe trained a neural network to **simulate Minecraft end-to-end**—every pixel is generated in real-time, learned from **200 hours of gameplay.**\n\n* **Runs at 20+ FPS on an NVIDIA 4090—5× faster than existing world models (Decart’s Oasis <4 FPS).**\n* Aggressive latent compression—we utilize a VAE with 128x spatial compression allowing us to vastly reduce the amount of tokens needed to represent a single frame\n\n### **What’s Next? Training on the Real World**\n\nWe’re now training our models on **real-world video data** to build a **general-purpose universe simulator** for:\n\n* **Gaming:** The last game engine humanity ever needs—generating unique environments dynamically from simple text or multimodal prompts.\n* **Robotics:** Simulations that actually **match reality**—training embodied AI models in diverse, realistic environments. A fully differentiable, learned simulation framework for reinforcement learning.\n\n### **Want to learn more?**\n\n* **Are you working on AI/robotics and need high-fidelity simulations?** We’re selecting early partners to **fine-tune** **LoRAs** on domain-specific data.\n* **Want to explore the future of generative gaming?** Sign up for **early access to Lucid v2**\n\n**Let’s connect!** Reach us at [**alberto@lucidsim.co**](mailto:alberto@lucidsim.co) or sign up at [lucidsim.co](http://lucidsim.co)", "url": "https://www.ycombinator.com/launches/Mpr-lucid-generative-simulations-powered-by-fast-world-models", "votes": 30, "created_at": "2025-02-18T18:41:34.976Z" } ] }, { "id": 30262, "name": "Pickle", "slug": "pickle-2", "former_names": [ "Pickle Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ad757e8400d1148cc83fb94eb774347a9fe0f4ad.png", "website": "https://www.pickle.com", "all_locations": "San Francisco, CA, USA", "long_description": "Pickle is a personal AI agent that gets things done for you. Every user has their own Pickle, which they talk to by voice or chat. It works in its own cloud browser, signs in to the services you already use, and finishes everyday tasks end to end: ordering food, booking rides, flights and restaurant tables, shopping, sending money, and handling paperwork. It places phone calls on your behalf in 81 countries, sends a morning briefing, and runs scheduled tasks. Pickles also talk to each other, so you can send yours to a friend’s Pickle to settle a dinner plan or split a bill.\r\n\r\nEvery Pickle earns trust in steps, from small errands to the accounts, cards, and identity it needs to act for you. Credentials stay in a hardware-isolated enclave that neither the model nor our servers can read, every action goes to a log you can see in the app, and nothing is used to train models.\r\n\r\nPickle is live on the App Store in the US and launches in Korea next, as the first personal agent built for Korea’s identity checks, payment rails, and everyday services, with the aim of becoming the country’s national app.", "one_liner": "The personal AI agent for Korea.", "team_size": 6, "industry": "Consumer", "subindustry": "Consumer -> Consumer Electronics", "launched_at": 1738265099, "tags": [ "Consumer", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Consumer", "Consumer Electronics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/pickle-2", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/pickle-2.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/get-pickle-ai/", "x_url": "https://x.com/danifesto", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ad757e8400d1148cc83fb94eb774347a9fe0f4ad.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": 2376609, "full_name": "Daniel Park", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO at Pickle | med school dropout at 22", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/danielpkl", "x_url": "https://x.com/danifesto", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/df67320b9e4c0324620fdaf278645708f89c78db.jpg" }, { "user_id": 2376618, "full_name": "Sanio Jung", "title": "Founder", "founder_bio": "Co-founder at Pickle, specializing in ML engineering & infrastructure", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/saniopkl/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3147c98dd85610291fdf0ba6b09c7a10bf219e98.jpg" }, { "user_id": 2376616, "full_name": "Emmett Kim", "title": "Founder", "founder_bio": "Co-founder at Pickle, specializing in product.\n\nPreviously built consumer apps and hit #1 in App Store (Category: Social)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/emmettpkl/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/58be6cee048cbc1d6db71016f805f39a122f1c47.jpg" }, { "user_id": 2376614, "full_name": "Hojin Yu", "title": "Founder", "founder_bio": "Co-Founder at Pickle, specializing in ML", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sampkl/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ce2d5a5c38644854fdd02fab7385347eabdf3221.jpg" } ], "jobs": [], "news": [ { "title": "AI Avatars Escape the Uncanny Valley | Andreessen Horowitz", "url": "https://a16z.com/ai-avatars/", "date": "Apr 08, 2025" }, { "title": "10 startups to watch from Y Combinator's W25 Demo Day | TechCrunch", "url": "https://techcrunch.com/2025/03/13/10-startups-to-watch-from-y-combinators-w25-demo-day/?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAAGz1ulqiupw3qkENOEmaAwxudjGREKXyGNrQUVb12--78syl3_Vo6m-rYYNjvJpPyu-YO9RkHlPyi8gCq25r3asU9YU9k8YiKe1ahUmRPLtuNCa7XZZiRaQpeCaCiKuZgL8NmP7CYy5UKbFzAaIMns_sa2e0wVeAn0nTzj6CpbIY", "date": "Mar 13, 2025" }, { "title": "How a digital 'you' can sit through your agonizing web conference calls | TechCrunch", "url": "https://techcrunch.com/2024/11/23/how-a-digital-you-can-sit-through-your-agonizing-web-conference-calls/?guccounter=1", "date": "Nov 23, 2024" } ], "launches": [ { "id": 87621, "title": "Pickle - AI Body Double for Video Calls", "tagline": "Pickle joins Zoom calls on your behalf and makes you look great.", "body": "# **tl;dr**\n\nPickle replaces your Zoom camera with a virtual body double that always looks great—even if you're calling in from bed.\n\n# **Why we’re doing this**\n\nDaniel attended 10‑hour Zoom classes daily when he was a medical school student. He experienced extreme Zoom fatigue and discovered that it wasn’t just because he hated listening to boring medicine lectures—it also caused [neurophysiological](https://www.nature.com/articles/s41598-023-45374-y) problems. We imagined there must be [countless people](https://www.reuters.com/article/us-zoom-video-commn-encryption-idUSKBN22C1T4/) suffering from the same issue, desperate to escape the Zoom prison.\n\n\n\n# **Who’s using Pickle?**\n\nSince launching Pickle last October, we’ve interviewed over 400 Picklers worldwide. What surprised us was that not only were people experiencing Zoom fatigue from back-to-back meetings, but even those **who wouldn’t turn on their camera** for a single call were using Pickle.\n\nEngineer moms who have to care for their kids, new employees with severe anxiety disorder, and CEOs who want to look professional no matter where they are—all these people found Pickle essential for their daily work. We realized that Pickle isn’t just a vitamin—**it’s a painkiller**.\n\n# **The lowest latency human model**\n\n![uploaded image](/media/?type=post&id=87621&key=user_uploads/2376609/95f16234-6efd-417b-880f-b00310ccbdbd)\n\nWe developed an ultra-fast human model that processes voice input and generates output in **under 0.3 seconds**. This enables a user’s Pickle to lip-sync almost simultaneously with what they say. Moreover, as our user base grows, our model rapidly upgrades thanks to the influx of data.\n\n# **Live together & work 24/7 in Hillsborough**\n\n[Daniel Park](https://www.linkedin.com/in/danielpkl/) - a medical school dropout who built a $2M/year e-commerce business at age 22 while still in medical school\n\n[Emmett Kim](https://www.linkedin.com/in/emmettpkl/) - a CS dropout and a super-generalist in product, design, and engineering, who is also the star of [our viral demo](https://x.com/getpickleai/status/1859284410136465671)\n\n[Sam Yu](https://www.linkedin.com/in/sampkl/) -  our CTO; a summa cum laude CS & EE dropout who built a self‑driving AI model at just 21, is a believer in reinforcement learning, and met Emmett in high school\n\n[Sanio Jung](https://www.linkedin.com/in/saniopkl/) - a former medical doctor and self-taught engineer who developed an AI model for detecting wrist fractures and met Daniel in college\n\n[Chris Kang](https://www.linkedin.com/in/chrispkl/) - a CS dropout and social media expert who created and managed an account that achieved over 100 million views\n\n![uploaded image](/media/?type=post&id=87621&key=user_uploads/2376609/459c0987-33d6-4621-9329-c3ff18d68f0b)\n\n# **Our Ask**\n\nGet your own [Pickle](https://getpickle.ai/)!", "url": "https://www.ycombinator.com/launches/MnF-pickle-ai-body-double-for-video-calls", "votes": 243, "created_at": "2025-02-12T20:59:05.562Z" } ] }, { "id": 30263, "name": "Bindwell", "slug": "bindwell", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/27909408e945386b5dab99b0a68f5cede01bee40.png", "website": "https://www.bindwell.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "We're developing better, safer pesticides in-house using custom AI models. ", "one_liner": "Discovering new pesticides with AI", "team_size": 13, "industry": "Industrials", "subindustry": "Industrials -> Agriculture", "launched_at": 1740392812, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Industrials", "Agriculture" ], "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/bindwell", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/bindwell.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/bindwell", "x_url": "https://x.com/bindwell_ai", "fb_url": null, "cb_url": null, "github_url": "github.com/Bindwell", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/27909408e945386b5dab99b0a68f5cede01bee40.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": 1780048, "full_name": "Navvye Anand", "title": "Founder/CEO", "founder_bio": "Founder @ Bindwell: AI Platform for Pesticide R&D. I'm passionate about bioinformatics and AI, exploring the intersection of biology & natural language processing: ex-Caltech student and World Science Scholar.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/navvye-anand/", "x_url": "https://x.com/navvye", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/093f5c26dd93e9999e55e5097b6c8e8f2f42373b.jpg" }, { "user_id": 2208293, "full_name": "Tyler Rose", "title": "Founder/CTO", "founder_bio": "CEO @ Bindwell. Former Wolfram Research, background in ML engineering and comp bio research. Interested in using AI to solve big problems.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tyler-rose-213299222/", "x_url": "https://x.com/tylerarose0", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2d28622ba9477f5c40e8306b933c64a43edb7383.jpg" } ], "jobs": [], "news": [ { "title": "Teen founders raise $6M to reinvent pesticides using AI — and convince Paul Graham to join in | TechCrunch", "url": "https://techcrunch.com/2025/11/13/teen-founders-raise-6m-to-reinvent-pesticides-using-ai-and-convince-paul-graham-to-join-in/", "date": "Nov 13, 2025" } ], "launches": [ { "id": 88028, "title": "Bindwell 🧪 Building Better Pesticides with AI", "tagline": "We're developing better, safer pesticides using our state-of-the-art AI models.", "body": "# **TL;DR**\n\nWe're teenage engineers on a mission to develop new pesticides for a safer, healthier, and more bountiful world.\n\nToday, we’re launching Foldwell, our breakthrough structure prediction model that runs 4x faster than AlphaFold 3. Foldwell is just one piece in a suite of ground-up models we've built for every step of the pesticide discovery pipeline.\n\n![uploaded image](/media/?type=post&id=88028&key=user_uploads/2208293/f6f1b7d7-f30c-4631-8f5e-2589eca9191f)\n\n**❌ The Problem:**\n\n**Pesticides are failing us:** Their usage has doubled since 2000, even though farmland has decreased. Yet, we still lose 20-40% of crops to pests.\n\n**Resistance makes things worse:** Pests evolve resistance, forcing farmers to use even more pesticides to get the same results. This creates a vicious cycle of increasing resistance and collateral damage.\n\n**Innovation is stagnant:** Since the 2010s, fewer than 40 new active ingredients have been introduced. Most “new” pesticides are just minor tweaks of existing chemicals.\n\n**Industry left behind:** AI has revolutionized drug discovery; pesticide discovery is overdue for the same transformation because the underlying biochemistry is similar.\n\n**Making better pesticides is hard:** The ideal pesticide kills only the target pest and nothing else—current solutions are bad at this.\n\n# **✅ Our Solution:**\n\nWe use AI to build better pesticides.\n\nBecause pesticide discovery is a search problem, speed is key: In mere seconds, our AI models give us biological assays that would have traditionally taken days—completely changing the game for pesticide discovery.\n\nhttps://youtu.be/yI78lwS-dvQ\n\nWe've built these AI models so far:\n\n* Foldwell: our AlphaFold replacement that’s 4x faster, used to identify target structures.\n\n ![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcg7PQy81oaOL3m4jKlVRbkmW3kAOJM-xeTFltZ9PR--KDv-t5H3elHCF7swteyPPIm3YjFfynYd6q8p_CQe67k3XYswL-wnQoVAu_xWs-b-aSVWnyw0qpns-TLnZlqSLcpXxYrUw?key=6GA4V3t-3KucfkE1n0vyo_Ok)\n\n* PLAPT: Insanely fast open-source protein-ligand interaction model that can scan every synthesized compound known to man in just 6 hours.\n* APPT: State-of-the-art protein-protein interaction model for biopesticide screening, outperforms existing models by 1.7x on [Affinity Benchmark V5.5](https://zlab.wenglab.org/benchmark/).\n\nWe’re currently mapping druggable proteins in select harmful species that are notoriously difficult in the industry in order to find candidates with high specificity.\n\n# **👬 The Team**\n\nWe’re Navvye Anand (Caltech) and Tyler Rose (Wolfram Research), a scrappy duo of engineers who met at the Wolfram Summer Research Program in June 2023. We’re Indo-Chinese founders who both grew up visiting farmlands in our countries. United by our passion for tackling hard problems, we dropped out of college and started Bindwell to transform the archaic agrochemical industry.\n\n# **🙏 Our Ask:**\n\n1. Follow us on [LinkedIn](https://www.linkedin.com/company/bindwell/) and [Twitter 🥺](https://x.com/Bindwell_AI)\n2. Warm introductions to researchers at agrochemical companies (e.g. Bayer, Syngenta, BASF, Corteva etc), would be greatly appreciated!\n3. For  love to hear about your feedback on the [Foldwell app](https://app.bindwell.ai/)— [founders@bindwell.ai](mailto:founders@bindwell.ai)", "url": "https://www.ycombinator.com/launches/Mto-bindwell-building-better-pesticides-with-ai", "votes": 102, "created_at": "2025-02-25T20:00:09.197Z" } ] }, { "id": 30264, "name": "Stillwind", "slug": "stillwind", "former_names": [ "P2P Industries", "Augento" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c1b36aa3102c0461123d8bc84ffc46b58b33f3a9.png", "website": "https://stillwind.ai", "all_locations": "Zürich, ZH, Switzerland", "long_description": "Stillwind is a fractional librarian for startups. Customers give us the parts they want to put into designs and we give them footprints, symbols and 3d models made from the manufacturers datasheet.", "one_liner": "PCB component librarian", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1740421634, "tags": [ "AIOps", "Electronics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Switzerland", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/stillwind", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/stillwind.json", "year_founded": 2024, "city": "Zürich", "country": "CH", "linkedin_url": "https://www.linkedin.com/company/augento/", "x_url": "https://x.com/stillwinddotai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/stillwind-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c1b36aa3102c0461123d8bc84ffc46b58b33f3a9.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": 1922635, "full_name": "Linus Meierhöfer", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO @ Stillwind. Previously researched quantified complexity theory. Worked in Quantitative Engineering @ DRW. Studied CS @ ETH Zurich.\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/linus-meierhöfer-7a4596259", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/06909f44e7c94b237b0204cc7c1a836a03b02675.jpg" }, { "user_id": 1909734, "full_name": "Hannes Furmans", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO @ Stillwind\nDid CS at ETH Zürich. Did open source work on libp2p. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hannes-furmans-52923625a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e0a27bfd69e63a8fec7f4d02d6dbb8aaf39703df.jpg" }, { "user_id": 2235211, "full_name": "Josef Zoller", "title": "Founder", "founder_bio": "Co-founder & Chief Engineering Officer @ Stillwind. CS @ ETH Zürich. I’m a full-stack software engineer but specialize in networks, systems programming, and ML.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zollerboy1", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/edf4c9e6c9d2f70ba0ed4cf881d83e2cddf92b3f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 104942, "title": "Stillwind Builder — Zero to BOM in minutes instead of days", "tagline": "AI agent that turns your PCB design intent into a complete, verified bill of materials.", "body": "❌ **The problem**\n\nEvery PCB design is a constraint problem: you need components that are electrically and functionally compatible with each other. Solving it by hand means hours — often days — of tracking down parts, reading datasheets, adding a component, discovering a conflict, and backtracking. Pick an MCU and the cascade begins: it needs a specific crystal, external flash on the QSPI bus, a regulator that can source its peak current. Every choice ripples through the whole design.\n\n✅ **The solution**\n\nStillwind Builder formalizes your design constraints as an explicit system of equations and solves for matching components.\n\n* **Verified specs.** Before we show you a part, a second model independently re-reads its datasheet and verifies the specs match — so the numbers you design against are what the datasheet actually says, not extraction artifacts.\n* **Dependency-aware.** When you lock in a component, the agent reads its datasheet for the supporting parts it requires — voltage regulators, crystals, external flash — and updates the constraint system. The ripple effects of each choice are handled instead of discovered later.\n* **You stay in control.** You set the direction and make the calls that matter; the agent handles the combinatorial grind.\n\nAt the end, you download your BOM and start wiring.\n\n🚀 **Try it**\n\nThe public beta is live and free during launch week: [**https://stillwind.ai**](https://stillwind.ai)\n\nBuilding hardware and want to tell us what's broken? We'd genuinely love that — grab time with us: ", "url": "https://www.ycombinator.com/launches/RIc-stillwind-builder-zero-to-bom-in-minutes-instead-of-days", "votes": 5, "created_at": "2026-07-07T21:57:20.206Z" }, { "id": 88188, "title": "Augento 🤖 - DeepSeek reinforcement fine-tuning as-a-service", "tagline": "Improving your AI agents with reinforcement learning.", "body": "Hey all 👋, we’re Linus, Hannes, Lukas, and Josef—co-founders of [**Augento**](https://www.augento.ai/)! 🕊️\n\n**TL;DR**\n\nWe align your agents with reinforcement finetuning. You give us your agent, tell us where it fails and we’ll improve it. 🚀\n\nWe are actively looking for **design partnerships**. If you are interested, please shoot us a message at [**founders@augento.ai**](mailto:founders@augento.ai) 😄\n\n**The Problem ❌**\n\n🗣️ AI Agents struggle in real-world environments. Even state-of-the-art reasoning models score below 50% accuracy on non-trivial benchmarks.\n\nThe solution for many is still prompt engineering & expanding the models' guardrails. However, anyone who’s fought with large prompts knows how draining it can be. You’re never quite sure if the model is really following your instructions or if your tweaks make any difference.\n\n**Our Solution ✅**\n\nWe tackle this by replacing prompt engineering with fine-tuning + RL on **your** feedback. We integrate with a two lines of code change in your existing system.\n\n[**https://www.youtube.com/watch?v=Sulzf7VZr3k**](https://www.youtube.com/watch?v=Sulzf7VZr3k)\n\n**The Workflow 💡**\n\n1\\. Swap out your LLM connector URL with ours.\n\n2\\. We intercept every prompt and output, displaying them in our UI.\n\n3\\. Where necessary, you give high-level feedback, like your preferred tone or how a tool should actually be used.\n\n4\\. We continuously post-train the model to match up to your feedback.\n\n5\\. Once you deem it good enough and want to switch over to the model, you can do that with a click of a button, no changes to your code required.\n\n**Our Ask**\n\nWe’d love your input and are looking for early users to test-drive Augento. Shoot us a message at [**founders@augento.ai**](mailto:founders@augento.ai)\n\n**The Team**\n\nLinus previously studied CS @ ETH in Zurich and did research in complexity theory. During his studies, he worked as an ML Engineer & as a Quantitative Developer in High-Frequency Trading.\n\nHannes previously studied CS @ ETH Zurich and worked on decentralized and distributed systems. During his studies, he worked as a paid contributor for a big open source project and as the technical lead for his previous startup.\n\nJosef previously studied CS @ ETH Zurich, and worked on computer systems and networks, as well as ML. During his studies, he worked as a full-stack software engineer and embedded systems developer.", "url": "https://www.ycombinator.com/launches/MwO-augento-deepseek-reinforcement-fine-tuning-as-a-service", "votes": 18, "created_at": "2025-03-02T02:49:45.257Z" } ] }, { "id": 30265, "name": "Harbera", "slug": "harbera", "former_names": [ "Harbor", "Habera" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7e6ffdce0849e290e9af29bb1746cf9441830631.png", "website": "https://harbera.com/", "all_locations": "New York City, NY, USA", "long_description": "Harbera helps clinic keep their doctors credentialed and compliant. Our AI software continuously monitors and proactively helps admin teams re-credential doctors, preventing denied claims, disruptions in patient care, and lost revenue caused by doctors falling out-of-network.", "one_liner": "AI Healthcare Provider Credentialing Software", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1739432197, "tags": [ "Health Tech", "Healthcare", "Healthcare IT", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "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/harbera", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/harbera.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/harbera", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7e6ffdce0849e290e9af29bb1746cf9441830631.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": 582417, "full_name": "Sophia Clark", "title": "Founder/CEO", "founder_bio": "Building Harbera. Previously engineer at House Rx (specialty pharmacy tech startup). Engineering intern at Facebook and Bridgewater; investment analyst at Inkef Capital (European health + tech VC). Studied Computer Science at Harvard with Veronica. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sophia-c-07a508b8/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3de692d5a14c93a2c52894ee4c2eb94aa284b4d4.jpg" }, { "user_id": 1991575, "full_name": "Veronica Nutting", "title": "Founder/CTO", "founder_bio": "Building Harbera. Previously backend engineer at Stripe. Investment engineering intern at Bridgewater; ML intern at Alife Health (fertility AI startup). Studied Computer Science at Harvard with Sophia.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/veronicanutting/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8193fc7deffa3c6b919fed3c32b4b23562e785f0.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87777, "title": "Harbera 🏥 AI healthcare provider credentialing", "tagline": "Harbera helps hospitals and clinic groups keep their doctors credentialed and compliant.", "body": "Veronica and Sophia here, we’re building Harbera. Harbera is AI software that helps healthcare organizations keep their providers - physicians, dentists, nurse practitioners - in-network with insurers and compliant.\n\n\n\n## Without credentials doctors can’t treat patients\n\nCredentialing is the bureaucratic process of verifying a providers’ qualifications and contracting them with insurance plans. The 900+ insurance companies across the U.S. have different and ever-changing credentialing requirements, and providers need to be re-credentialed regularly. \n\nKeeping providers credentialed is critical. If a provider falls out-of-network, it can take months to get credentialed again. Health systems are often unaware that a provider has fallen out-of-network until claims start getting denied, leading to disrupted patient care and billions in lost revenue.\n\n## Monitoring credentialing is hard and gets harder at scale\n\nThere’s a lot that administrators need to keep track of: updates to insurance plan requirements (often mailed), license and certification expirations, malpractice sanctions, re-credentialing timelines, and more. Today, many back-office teams at hospitals and clinic groups use spreadsheets, filing cabinets, or even repurpose tools like Salesforce to track credentialing.\n\nHere’s why monitoring is challenging for organizations:\n\n* A telehealth company that accepts 10 insurance plans and works with 100 therapists across 30 states needs to track up to 30,000 statuses.\n* A dental group working with 200 dentists needs to track 8,000 statuses. (Dentists are enrolled in over 40 insurance plans on average.)\n\n## What we’re doing\n\nWe are making credentialing easy. Our software integrates with a healthcare organization’s existing systems to continuously monitor and proactively re-credential providers across states and insurance plans. We keep administrators in the loop so providers never fall out-of-network. We make onboarding new providers seamless with real-time document validation. We analyze credentialing trends to identify revenue growth opportunities and optimize staffing.\n\n## About us\n\nWe’re best friends from college. We studied and taught Computer Science together at Harvard. [Veronica](https://www.linkedin.com/in/veronicanutting/) was a software engineer at Stripe, and [Sophia](https://www.linkedin.com/in/sophia--clark/) was a software engineer at House Rx, a specialty pharmacy software startup serving clinics across the country.\n\n## Ask\n\nDo you know health leaders that work in multi-state or multi-practice healthcare organizations, like dental support organizations (DSOs), telehealth companies, hospitals, or clinic groups? We’d love to meet them!\n\nEmail [founders@harbera.com](mailto:founders@harbera.com) to get in touch 🦡🧡\n\n![uploaded image](/media/?type=post&id=87777&key=user_uploads/1991575/efe8f892-45ec-4380-b97e-d95c7791cb63)\n\n![uploaded image](/media/?type=post&id=87777&key=user_uploads/1991575/56e11f74-9f30-48e2-9872-d6dab1efd824)\n\n", "url": "https://www.ycombinator.com/launches/Mpl-harbera-ai-healthcare-provider-credentialing", "votes": 30, "created_at": "2025-02-18T15:52:16.097Z" } ] }, { "id": 30266, "name": "Cenote", "slug": "cenote", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d2619da2ac1f4d3cedc1e2215d24e39f697bc681.png", "website": "https://www.joincenote.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Cenote helps online D2C brands convert more shoppers through AI sales reps that can call and text.\r\n\r\nOnline stores rely on static websites, one-way email and SMS campaigns, and inside sales teams with limited availability. But many purchases are better suited to a conversation: shoppers have questions, need guidance, or simply are not excited to buy based on what's on the site alone.\r\n\r\nToday, those shoppers are poorly served. Abandoned-checkout campaigns are generic, call centers close, and slow human follow-up allows high-intent leads to go cold. Our customers often see conversion rates below 1% from traditional abandoned-checkout outreach.\r\n\r\nCenote's AI reps reach shoppers immediately, remember their context, and continue the conversation across channels and over time. This gives every interested shopper access to a personalized sales rep and helps brands recover revenue from leads they have already paid to acquire.", "one_liner": "AI agents for conversational commerce", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1737428048, "tags": [ "B2B", "Digital Health", "E-commerce", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Sales" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cenote", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/cenote.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/105877840/admin/dashboard/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d2619da2ac1f4d3cedc1e2215d24e39f697bc681.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 2213671, "full_name": "Kofi Ansong", "title": "Founder/CEO", "founder_bio": "Ex Google, Promise (YC 2018). Yale University Computer Science 2021.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kofi-ansong-89294016a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e9e0167b4780c7c61958cdeb568479a35b3edf74.jpg" }, { "user_id": 601677, "full_name": "Kristy Gao", "title": "Founder/CTO", "founder_bio": "Ex Google, PayPal, Watershed. University of Waterloo Computer Science 2022. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gaoxk/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/97364bb604bbe07bba786a49290a7bee63a071ef.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97924, "title": "CENOTE - Sales Agents For Digital Health Clinics", "tagline": "Our AI sales agents immediately and persistently call and text your leads", "body": "**TL;DR**\n\nTelehealth clinics spend hundreds of thousands on ads but convert only a fraction of the patients who visit their site.\n\nBuying GLP-1s, TRT, or other treatments is a high-stakes decision, yet most patients are left alone with a website.\n\nCenote provides AI sales agents that instantly reach out, answer questions, and guide patients through the purchase, helping clinics grow revenue and patients buy with confidence.\n\n**Problem**\n\nTelehealth customer acquisition is extremely expensive.\n\nClinics often pay hundreds, sometimes thousands, of dollars per lead, yet most visitors never convert.\n\nAfter spending heavily to acquire demand, clinics rely on two imperfect tools:\n\n* marketing automations with low engagement\n* human reps who can’t scale coverage or response time\n\nThe result is lost revenue for clinics and confusing shopping experiences for patients making complex medical decisions.\n\n**Insight**\n\nHigh-consideration healthcare purchases shouldn’t be self-serve websites, they should be guided experiences.\n\nPatients don’t abandon because they aren’t interested, they abandon because they have questions, uncertainty, or timing issues.\n\nIn the offline world, these purchases would involve a knowledgeable guide.\\\nOnline, that layer has been missing.\n\nWe believe a new default is emerging: instead of navigating complex decisions alone, every buyer will have an intelligent concierge helping them evaluate, decide, and act.\n\n**Solution**\n\nCenote gives every lead a personalized, persistent sales experience.\n\nOur agents:\n\n* reach out instantly via call and text\n* answer questions and qualify needs\n* follow up over days or weeks as patients decide\n* support use cases like abandoned carts, failed payments, and win-backs\n\nEvery lead gets the experience of a dedicated care guide.\n\n**The Impact**\n\nClinics using Cenote see:\n\n* significantly higher conversion on existing traffic - for one clinic our agent converted at 2x the rate of a human rep\n* better patient experiences\n\nInstead of losing demand, they capture it.\n\n**Why now**\n\nAI can now hold natural, helpful conversations at scale.\n\nFor the first time, it’s possible to give every patient a guided buying experience, something previously only available to the highest-touch businesses.\n\n**The ask**\n\nWe’re looking to speak with:\n\n• Telehealth operators spending heavily on acquisition\\\n• Patients who recently considered an online health purchase\n\nIf that’s you (or someone you know), we’d love to talk.\n\nWe’d love your help!", "url": "https://www.ycombinator.com/launches/PTQ-cenote-sales-agents-for-digital-health-clinics", "votes": 5, "created_at": "2026-02-18T23:03:10.988Z" }, { "id": 87480, "title": "Cenote - Back office automation for specialist medical clinics", "tagline": "Cenote eliminates administrative bottlenecks that slow down revenue.", "body": "### **tl;dr**\n\nWe work with specialist clinics to identify their biggest administrative blockers and deploy custom **AI** to resolve them. Right now, we’re automating **referral intake**, reducing the time it takes for clinics to process new patients and accelerate revenue collection.\n\n\n\n### **Problem**\n\nSpecialist clinics struggle with **slow, manual referral processing**, leading to revenue delays, administrative overload, and patient drop offs. The biggest bottlenecks we've uncovered:\n\n* **Referral processing is manual and slow.** Clinics receive **thousands of referrals per month**, requiring extensive manual effort to extract and enter data.\n* **Medical necessity verification is tedious.** Clinics must determine if a referral meets insurance criteria, often requiring **days of back-and-forth with primary care providers** for missing information.\n* **Insurance approvals are a major roadblock.** Clinics waste **days negotiating with insurers** to confirm reimbursement eligibility before scheduling treatment.\n\nThese inefficiencies cause **40-60% of referrals to drop off and** costs the U.S. healthcare system **over $150 billion annually**. The administrative burden is also immense, with an average of **4.3 administrative staff per doctor** in the American healthcare system.\n\n### **Solution**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXduwoVo9LiyuYd4ldqDHoJxHu2uaKzKbOzQnI4MZ0vlWDvKTY-nE2iokzaFTCR7-7PeqhwdI9FIqtRbpP1FkZ3ivWq6TdtuyftWnKoMCyzw-smhtrM7tZacSCTnDkJ45wF92PRK7w?key=9LANEIwzbMw6NQWGiMH6ii1e)\n\nCenote eliminates the **referral-to-treatment bottleneck**, allowing clinics to focus on patient care while accelerating revenue collection.\n\n* **Automated data extraction:** We categorize and extract key referral details the moment they hit the clinic’s inbox.\n* **Seamless medical necessity verification:** If critical referral data is missing, our system **auto-requests** the necessary information via the preferred form of digital communication.\n* **AI-powered insurance authorization:** Our **AI callers** handle insurance approvals, freeing clinic staff to focus on higher-value tasks.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeGgHkFuty55KGO5k--WHuaGP852o6tN4i7BepjytmDTjp48gCAx7ZC2boYhxw4NV9-evAIo09IUWh61gICroHpapc2X2jAmN3plFp4tpHM7ib9RKHwuqyyvd4FXxx2qQe-r7D7Uw?key=9LANEIwzbMw6NQWGiMH6ii1e)\n\nValidate page allows staff to easily confirm extracted data\n\n### **Team**\n\n![uploaded image](/media/?type=post&id=87480&key=user_uploads/2213671/4398c4d4-4712-4460-a3a3-46107d03750d)\n\n[Kofi](https://www.linkedin.com/in/kofi-ansong-89294016a/) was formerly a software engineer for [Promise](https://www.ycombinator.com/companies/promise) (YC W18), a gov-tech company. He is leveraging his experience building AI products for state governments to delight folks in the healthcare industry.\n\n[Ajani](https://www.linkedin.com/in/ajani-smith-washington/) spent 2.5 years before this as an early stage VC at Base10 -- investing $30M in seed and series A stage companies\n\n[Kristy](https://www.linkedin.com/in/gaoxk/) worked on carbon accounting engines at Watershed Climate and is experienced in working in highly regulated spaces. She developed a wide set of engineering expertise from her time at several tech companies, including Google, PayPal, Cockroach Labs.\n\n### **ASK**\n\nIf you know someone who owns or works at a specialist medical practice (e.g. sleep centers, specialty pharmacies, medical supply store), please introduce us. You can reach us at founders@joincenote.com.", "url": "https://www.ycombinator.com/launches/Mky-cenote-back-office-automation-for-specialist-medical-clinics", "votes": 32, "created_at": "2025-02-06T23:14:55.843Z" } ] }, { "id": 30267, "name": "Lopus", "slug": "lopus", "former_names": [ "Levo UI", "Lopus AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5463151bfe24c55a37e65a12d8f89b62dcef5c86.png", "website": "https://lopus.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Pointing an AI at all your data is a recipe for disaster - it will confidently lie, hallucinate, and drive your business into the ground.\r\n\r\nWhat if you could trust your AI the way you trust a calculator?\r\n\r\nThat's Lopus.\r\n\r\nWe build a self-healing semantic layer that captures your business logic.\r\nIncluding every metric, every definition, every edge case.\r\nDefined once, and trusted everywhere.\r\n\r\nNo SQL. No dashboards. No waiting on the data team.", "one_liner": "Headless Data Team", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1740443352, "tags": [ "B2B", "Analytics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/lopus", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/lopus.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/lopus-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5463151bfe24c55a37e65a12d8f89b62dcef5c86.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": 1017454, "full_name": "Aamish Ahmad Beg", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of Lopus AI.\n\nCS @ Dartmouth. Full-stack/infra/ML dev building in public. Extensive experience with LLM-centered ML research. Previously worked on the DIGIHEALS project at DARPA. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aamish-ahmad-beg/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b03eac4f83c10b629a20432280984e0a77955fad.jpg" }, { "user_id": 2379881, "full_name": "Danylo Borodchuk", "title": "Founder", "founder_bio": "Building Lopus - Analytics for the rest of us. \n\nEx. 2+ years of award-winning R&D for startups @ DALI Lab, Dartmouth, deep experience in AR/VR development, product & system design. Led multiple ivy league technical teams at research labs, tech consulting groups, & quant teams. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/danylo-borodchuk/", "x_url": "https://x.com/danylo_dev", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f568004af6b579a2ed192d75c757d2f5837621b3.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30268, "name": "AthenaHQ", "slug": "athenahq", "former_names": [ "NewsPod", "Otter Health" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c559a82e8bccf756d0c26668df5ed8dc95c8bd00.png", "website": "https://www.athenahq.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Make sure your brand doesn’t get left behind as search shifts from traditional SEO to generative AI search.\r\n\r\nAthenaHQ is an AI SEO platform for GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization), helping brands show up in AI-generated answers across ChatGPT, Perplexity, Claude, Gemini, and more.\r\n\r\nAI search is expected to overtake traditional search within the next few years. AthenaHQ fills the gap with a system to measure visibility, identify what AI engines cite and recommend, and help your team improve content and brand presence for AI-first discovery.\r\n\r\nTeam of former product manager on Google Search's information acquisition team, Deepmind Generative Media team, and ChatGPT superusers.", "one_liner": "Be the Answer in AI Search - AI SEO across SEO, GEO & AEO", "team_size": 12, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1739175359, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/athenahq", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/athenahq.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/athena-hq/", "x_url": "https://x.com/getathenahq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c559a82e8bccf756d0c26668df5ed8dc95c8bd00.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": 556828, "full_name": "Andrew Yan", "title": "Founder/CEO", "founder_bio": "Co-founder AthenaHQ--helping brands get discovered on ChatGPT. Formerly @googlesearch @deepmind @usarmylab @columbia\n\nIn previous life, played in the band that inspired the Oscar-winning movie Whiplash.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/andrew-yan-200", "x_url": "https://twitter.com/andrewyan200", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/edf0460950743606cd14c12fa574d311df0244d1.jpg" }, { "user_id": 1639890, "full_name": "Alan Yao", "title": "Founder", "founder_bio": "Co-founder & CTO at AthenaHQ, formerly a jazz trombonist", "is_active": true, "linkedin_url": "https://linkedin.com/in/alanya0", "x_url": "https://x.com/sudosandvich", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/da7aa6ce2ed2d1c96c629f12900c4d03ed77e5de.jpg" } ], "jobs": [ { "id": 79467, "title": "Account Executive", "url": "https://www.ycombinator.com/companies/athenahq/jobs/XkSGIvh-account-executive", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$240K - $300K", "equity_range": "0.10% - 0.15%", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 86934, "title": "Product Engineer", "url": "https://www.ycombinator.com/companies/athenahq/jobs/EAoJcox-product-engineer", "location": "SF In-Person", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $200K", "equity_range": "0.20% - 0.50%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Next.js" ] }, { "id": 93603, "title": "Growth Engineer", "url": "https://www.ycombinator.com/companies/athenahq/jobs/ZqNEuPw-growth-engineer", "location": "SF In-Person", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$110K - $160K", "equity_range": "0.15% - 0.60%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 93606, "title": "Founding Growth Marketer", "url": "https://www.ycombinator.com/companies/athenahq/jobs/rPMNI5x-founding-growth-marketer", "location": "SF In-Person", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$130K - $220K", "equity_range": "0.10% - 0.40%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 95354, "title": "Senior Product Designer", "url": "https://www.ycombinator.com/companies/athenahq/jobs/iVNx7oZ-senior-product-designer", "location": "San Francisco, California", "type": "Full-time", "role": "Design", "role_type": "Web design", "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 95355, "title": "Founding Product Marketer", "url": "https://www.ycombinator.com/companies/athenahq/jobs/9aEmhg2-founding-product-marketer", "location": "SF In-Person / Remote", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$130K - $220K", "equity_range": "0.10% - 0.40%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "The Wild West Of AI Search And How One Startup Is Helping Brands Navigate The Post-Google Era", "url": "https://www.forbes.com/sites/josipamajic/2025/06/17/the-wild-west-of-ai-search-and-how-one-startup-is-helping-brands-navigate-the-post-google-era/", "date": "Jun 17, 2025" } ], "launches": [ { "id": 87626, "title": "AthenaHQ: Get Your Brand Discovered on ChatGPT", "tagline": "Monitor and Take Action on Your GEO (Generative Engine Optimization)", "body": "Hey everyone, we’re Andrew and Alan — co-founders of [AthenaHQ.](https://www.athenahq.ai)\n\n# **TL;DR**\n\n[AthenaHQ](https://www.athenahq.ai) helps companies see how their brand appears on generative engines like ChatGPT, Perplexity, Claude, Gemini, and more. Make sure your company doesn’t get left behind in the paradigm shift from traditional to generative search.\n\n# **The Problem**\n\nIn the past, majority of website visits came from traditional Google Search. Now, sites are increasingly getting it from generative engines like ChatGPT. \n\nFrom our conversations, we found anecdotally that site traffic attributed to generative engines is increasing month-over-month, picking up in the past few months since the launch of ChatGPT Search in October 2024. **Traditional search engine volume is predicted to drop 25% by 2026, and 50% by 2028**, replaced by traffic originating from generative engines like ChatGPT.\n\n\n\n# \n\n# \n\n![uploaded image](/media/?type=post&id=87626&key=user_uploads/556828/f040136e-62e0-4ac2-8ce4-f93fb3620c02)\n\n# **The Solution**\n\nAthenaHQ helps your brand adapt to the fast-changing world of generative engines with our monitoring solution and action center. We give you a 360 degree view of possible ways customers are discovering your brand and centralize actionables you can take in our action center. Our copilot Athena generates first drafts of actions you can take to improve your AI engine posture.\n\n# \n\n![uploaded image](/media/?type=post&id=87626&key=user_uploads/556828/44929a94-b0df-4f41-a55a-19cf9914cae3)\n\n# **AthenaHQ Team**\n\n![uploaded image](/media/?type=post&id=87626&key=user_uploads/1639890/a716a3fc-e51d-4904-ab9d-79de859d9492)\n\n[Andrew](https://www.linkedin.com/in/andrew-yan-200/) (left) was formerly a product manager on Google Search’s information acquisition team and also worked on the generative media team on Deepmind, where he saw firsthand how brand management is changing in the AI age.\n\n[Alan](https://www.linkedin.com/in/alanya0/) (right) has been at the forefront of consumer and AI since pre-ChatGPT, having donated to OpenAI in 2019 back when it was a nonprofit.\n\n# **Our Ask**\n\nCurious what ChatGPT is saying about your brand? Want to track what queries you do well and how you’re trending?\n\n**Know any marketing friends who don’t want to miss out on this paradigm shift?** \n\nFollow us on [LinkedIn](https://www.linkedin.com/company/athena-hq) and feel free to email us at [andrew@athenahq.ai](https://mailto:andrew@athenahq.ai) or schedule time directly on our website: [athenahq.ai](http://athenahq.ai)", "url": "https://www.ycombinator.com/launches/MnK-athenahq-get-your-brand-discovered-on-chatgpt", "votes": 19, "created_at": "2025-02-13T03:29:22.357Z" } ] }, { "id": 30269, "name": "Liquid Compute", "slug": "liquid-compute", "former_names": [ "PowerPlay", "Strike", "Pluto" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ddb1c0f50037d9c24b823a5a568655e0a2d1980d.png", "website": "https://www.liquidcompute.com", "all_locations": "New York City, NY, USA", "long_description": "", "one_liner": "Pending CFTC regulation to be the first cash and physically settled…", "team_size": 5, "industry": "Fintech", "subindustry": "Fintech -> Banking and Exchange", "launched_at": 1740523068, "tags": [ "FinOps", "Fintech", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Fintech", "Banking and Exchange" ], "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/liquid-compute", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/liquid-compute.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/liquid-compute", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ddb1c0f50037d9c24b823a5a568655e0a2d1980d.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": 1526382, "full_name": "Ronit Jain", "title": "Founder/CEO", "founder_bio": "CEO @ Liquid Compute", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ronitjain5", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3a8f6d92dc2c46bb92d40c7a409eb6741ae8befb.jpg" }, { "user_id": 2378932, "full_name": "Aarav Patel", "title": "Founder/CTO", "founder_bio": "Working on derivatives exchange", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aaravpatel04", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8be0b2f5460b3c6e32f744ecf647b4b5c7e1540e.jpg" } ], "jobs": [ { "id": 97134, "title": "Head of GTM", "url": "https://www.ycombinator.com/companies/liquid-compute/jobs/FjZBn9g-head-of-gtm", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$150K - $200K", "equity_range": "0.10% - 0.30%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 98145, "title": "Liquid Compute", "tagline": "Building a Regulated Venue that Commoditizes Intelligence", "body": "Today, Liquid Compute emerges from stealth with a $15 million seed round co-led by Chemistry and Firstmark. They are joined by K8 Capital, Night Capital, TrueBridge, Brainchild Holdings, UFO Holdings, Y Combinator and angel investors such as Dmitry Balyasny. Alongside the launch, the company is announcing pending applications before the CFTC for Designated Contract Market (DCM) and Derivatives Clearing Organization (DCO) status to build the first regulated exchange to trade both cash and physically settled contracts on AI infrastructure, starting with compute.\n\n## The Strategic Rationale for Regulation\n\nBuilding a true financial layer for compute requires the same institutional-grade framework that governs traditional commodities. While pursuing a regulated path is long and arduous, and liquidity is difficult to bootstrap, startup entrants such as ICE in energy, CBOE in volatility, and Kalshi in event contracts prevailed and actually accrued most of the financial value in the commoditization of their multi-trillion-dollar asset classes precisely because they secured regulatory status while focusing deeply on the unique physical and structural nuances of their specific markets.\n\nFor compute, there are unique physical dynamics that are particularly challenging to overcome. Oil can be stored in a barrel. Compute cannot. If a GPU sits idle this afternoon, that capacity evaporates forever. Its value depends entirely on location, availability, configuration, and the specific workloads it can run. The heterogeneity of compute is actually far more analogous to the power markets, but instead of acting as a proxy of generating electricity, compute acts as a direct proxy for access to intelligence, making it a critical pillar of both economic and national power. The United States recognizes this reality and is pouring unprecedented capital into chips, data centers, and energy grid expansion to secure its geopolitical edge. However, building supply is only half the equation. To truly secure compute as a strategic asset, America needs robust, regulated market infrastructure to price it, allocate it efficiently, finance its rapid growth, and allow dependent companies to manage their risk.\n\n## Enabling the Compute Trader\n\nBecause intelligence is rapidly developing a measurable cost curve, massive businesses will need to manage their exposure to it. Enterprises running heavy inference will need to hedge against rising AI costs. Neoclouds will need to lock in future utilization revenues, and lenders financing data centers will need forward prices to underwrite cash flows.\n\nThis reality is driving a massive structural shift where the buyer of compute is no longer always the end user. A new class of participant is emerging, including neoclouds, brokers, and dedicated trading firms looking to buy capacity, warehouse it, resell it, arbitrage price differences, or simply take a speculative view.\n\nToday, these participants trade on fundamentally bilateral, cumbersome infrastructure. Every resale requires a new contract, a fresh credit decision, another payment setup, and a separate SLA. As capacity changes hands, the chain of liability becomes hopelessly tangled.\n\nLiquid Compute exists to abstract away that complexity. Before a meaningful futures market can launch, the industry must standardize exactly what is being delivered, which requires verifiable infrastructure, defined performance metrics, and credible physical reference prices. By building an Exchange for Physical (EFP) market and clearing transactions through a common framework, any participant with a balance sheet will be able to take a position on compute without needing to become a cloud operator, credit underwriter, or AI company.\n\nThis is precisely why the company has partnered with institutional market participants like Susquehanna, BGC, and Wintermute. Liquid Compute is building the infrastructure that empowers market makers, lenders, and entirely new classes of participants to trade compute as a liquid asset. More participants taking risk means a more liquid physical market, which in turn creates robust reference prices for the financial market above it. Our overall thesis is that intelligence becomes a utility supplied by many vendors, that its cost becomes a variable buyers have to actively manage, and that managing it well requires a trusted reference price, standardized contracts, and a market to trade them in.\n\nLiquid Compute is a Y Combinator W25 company based in New York.", "url": "https://www.ycombinator.com/launches/PWz-liquid-compute", "votes": 142, "created_at": "2026-02-24T18:07:42.893Z" } ] }, { "id": 30270, "name": "G LNK", "slug": "g-lnk", "former_names": [ "G LNK Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/30e81e807267eac09097c7b4e6fc47510c7e0c54.png", "website": "https://glnkco.com/", "all_locations": "New York City, NY, USA", "long_description": "G LNK is an AI-powered platform simplifying how healthcare companies connect with the relevant medical professionals. Our proprietary matching and ranking models instantly identify the most qualified experts, accelerating drug development and commercialization. Designed with compliance at its core, G LNK ensures every connection meets strict regulatory and ethical standards—empowering companies to innovate faster with confidence.", "one_liner": "Simplifying Collaboration for Healthcare Organizations & Professionals", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1738929097, "tags": [ "SaaS", "Health Tech", "B2B", "Digital Health", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "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/g-lnk", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/g-lnk.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/104871545/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/30e81e807267eac09097c7b4e6fc47510c7e0c54.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": 2366179, "full_name": "Rayan Ghandour", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO @ G LNK (W25)\n\nRayan graduated from UChicago with degrees in Chemistry and Economics and built his expertise in the healthcare sector at PwC's pharma and life sciences consulting practice. There, he specialized in healthcare collaboration and compliance solutions. Rayan was recognized as the top consulting analyst in the US for leading automation technologies in pharmaceutical compliance.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rayan-ghandour-75191618a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d29c6f257f11e2748bf793707dde0cb0fa1f68b4.jpg" }, { "user_id": 2360566, "full_name": "Raouf Abujaber", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO @ G LNK (W25)\n\nRaouf brings three years of advanced research experience from AxLab, where he specialized in developing neural network architectures for multimodal human-computer interaction systems with adaptive reinforcement learning algorithms. His multidisciplinary background includes degrees in Computer Science, Economics, and Astrophysics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/raouf-abujaber-169330256/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f96950e12f5ae9eaf69b43d9678d33f7ee9f42ff.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 88235, "title": "G LNK - Simplifying collaboration between Pharma & Healthcare professionals", "tagline": "Meet G LNK, the AI one-stop shop for all medical interactions", "body": "Hey YC!\n\nWe’re [Raouf](https://bookface.ycombinator.com/user/2360566) and [Rayan](https://bookface.ycombinator.com/user/2366179) — co-founders of G LNK\n\n**TL;DR**\n\nG LNK is an AI-powered platform that connects Pharma companies with doctors & researchers. Rayan worked on this as a consultant, where Pharma companies spent billions annually just to determine how much to pay doctors while staying within regulatory guidelines. Using LLMs, we’re automating the end-to-end process—from identifying candidates to compensation and compliance.\\\n\n\n**Problem**\n\nPharma companies spend over **$70 billion annually** on engaging doctors & researchers, yet a lot of that money is wasted on outdated and manual processes:\n\n* **Outsourcing is expensive and slow**: Companies spend millions on third parties (consulting, recruiting, and regulatory firms)  just to find the right experts and to know how much to pay them compliantly.\n* **Compliance risks are high**: Payment miscalculations can lead to regulatory violations and hefty fines\n* **Data is scattered**: Contracts, payments and compliance tracking are spread across disconnected systems, making transparency and oversight difficult\n\n\n\n**Solution**\n\n**G LNK automates Pharma companies' entire healthcare professional (HCP) engagement process**—from identifying suitable doctors to engaging them. Here’s how it works:\n\n1. **Identify HCPs:**\n * Identify a doctor from our database of over 3.2 million user profiles (growing 250% MoM).\n * Alternatively, if you know who you want to engage, simply upload the doctor’s CV and we will take care of the rest.\n2. **Calculate Compensation:**\n * Instantly determine their compensation rates.\n * Adjust the rates dynamically based on factors such as service type and travel requirements.\n3. **Engage Directly:**\n * Contact the selected doctors directly through our platform.\n4. **Ensure Compliance:**\n * Maintain regulatory compliance and prevent compliance violations before they happen.\n * Leverage real-time data from trusted sources like NIH, PubMed, CBS, CMS, and more.\n\nThis step-by-step solution replaces multiple vendors with a single AI-powered platform, ensuring efficient, compliant, and cost-effective HCP engagement.\n\n**Additional Features**\n\n* **Built-in CRM** to track all HCP engagements\n* **Comprehensive financial tracking**, including:\n * All Transfer of Value payments made to HCPs (date, purpose, associated drug)\n * Drug coverage breakdown\n * Monthly payment summaries\n * Payment analysis by Therapeutic Area\n* **Tailored recommendations** for grants, conferences, and publications for HCPs\n* **Centralized database** of regulations and Codes of Conduct across 150+ countries\n\n**Team**\n\nRayan and Raouf have known each other for over a decade, with their professional relationship cementing itself during their time as researchers at the University of Chicago.\n\n**Rayan (CEO)** worked as a Life-Sciences Consultant at PwC and was recognized as top consulting analyst in the US for pioneering automation in pharmaceutical compliance. He holds degrees in Chemistry & Economics at UChicago, where he was one of the youngest biochemistry researchers at Pritzker School of Engineering.\n\n**Raouf (CTO)** worked as a ML-researcher at AxLab, where he specialized in developing neural network architectures for multimodal human-computer interaction with adaptive reinforcement learning. He has a multidisciplinary background, with degrees in Computer Science, Astrophysics, & Economics from UChicago\n\n![uploaded image](/media/?type=post&id=88235&key=user_uploads/2366179/8a3b2573-1a0d-499b-b252-94260eb9ca1d)\n\n**We are on a mission to help Pharma companies cut costs, enhance accuracy with better benchmarking, and save valuable time. By streamlining these critical processes, we empower Pharma to focus more resources on manufacturing, distribution, and supply—accelerating the delivery of life-changing treatments to those who need them most.**\n\n**Our Asks**\n\nWe would really appreciate introductions to anyone working in the Pharma industry or any health-related verticals. Additionally, if you know any physician/research communities, we would love to talk and learn more!", "url": "https://www.ycombinator.com/launches/Mx9-g-lnk-simplifying-collaboration-between-pharma-healthcare-professionals", "votes": 14, "created_at": "2025-03-03T23:58:34.131Z" } ] }, { "id": 30271, "name": "Mundo AI", "slug": "mundo-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/31474af1f951c6780af0608ab7ed6a5b739d95bf.png", "website": "https://mundoai.world", "all_locations": "Vancouver, BC, Canada", "long_description": "Mundo develops data, evaluations, and applied research for frontier labs and AI companies to advance perceptual intelligence across audio, video, and emerging modalities.", "one_liner": "The data layer for perceptual intelligence", "team_size": 30, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1739847539, "tags": [ "Machine Learning", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "Canada", "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/mundo-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/mundo-ai.json", "year_founded": 2024, "city": "Vancouver", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/mundoai", "x_url": "https://x.com/hellomundoai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/31474af1f951c6780af0608ab7ed6a5b739d95bf.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": 750534, "full_name": "Jason Liao", "title": "Founder/CEO", "founder_bio": "Hi! I'm Jason. Last year I worked on ML research abroad, where I discovered how impossibly challenging it is to build good multi-lingual AI models. Before that, I was the youngest quant researcher at a $60B hedge fund in Canada. jason@mundoai.world", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jasonliao02/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/be0e99765802b0bf0a763e509b44d2903daf9651.jpg" }, { "user_id": 984513, "full_name": "Naijide Anwaer", "title": "Founder", "founder_bio": "Co-founder at Mundo AI building the largest and highest quality multilingual datasets. Product builder. Lover of languages and culture. Ex-Platform PM at Binance.US.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/naijide-anwaer", "x_url": "https://x.com/naijide_a", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dd3b5a268a63009e488ae677dcc9299168d1066c.jpg" }, { "user_id": 2380741, "full_name": "Garreth Lee", "title": "Founder", "founder_bio": "Co-Founder at Mundo AI. I previously worked on pretraining data at Cohere and tokenization at Hugging Face. I'm interested in all things related to ML/AI and loove playing music.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/garrethlee", "x_url": "https://x.com/garrxth", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2d40f5dde2d4b1edac8ed36994ad2829e70c00e2.jpg" }, { "user_id": 1060697, "full_name": "Kenneth Wu", "title": "Founder", "founder_bio": " doing fun stuff", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/wukenneth/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6133834a74d84163ff8b8e27b188a11e293af174.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 88044, "title": "Mundo AI - High Quality Multilingual Training Data for AI Models", "tagline": "We're building the world's largest and highest-quality multilingual data library.", "body": "# **TL;DR**\n\nAI models are great at English, but struggle with almost every other language. So, we are building the world’s largest and highest quality multilingual data library to help AI labs build better non-English models.\n\n# **The Story**\n\nWhen Jason was working on AI research abroad, he found that it was incredibly difficult to find training data in non-English languages. Because of this, his peers were all working on English models rather than ones in their native language.\n\n# **The Problem**\n\nAfter speaking with researchers and entrepreneurs around the world, it became clear to us that AI usability was dramatically behind in non-English languages - even for major languages like Hindi and Arabic. This is because of the severe shortage of high quality training data in non-English languages. That leaves the 75% of the world that does not speak English out of the AI revolution.\n\nData has been a major bottleneck for researchers and AI labs building multilingual AI models, and the demand for better and larger datasets is only increasing.\n\nCurrent workarounds such as synthetic data and machine translation simply don’t achieve the desired results, and open-source efforts fail to produce datasets in the quantity and quality required.\n\n# **How are we solving this**\n\nWe work directly with native speakers to build and create completely novel and high quality datasets. We do this by setting up end-to-end operations in the country where native speakers of a language reside, and by using our proprietary software platform to streamline data collection, generation, annotation, and quality assurance.\n\n# **Demo Video**\n\n[**https://www.youtube.com/watch?v=zZiilPrhDJs**](https://www.youtube.com/watch?v=zZiilPrhDJs)\n\n# **The Team**\n\n[**Jason Liao**](https://www.linkedin.com/in/jasonliao02/) helped build a record-breaking fraud detection AI model at Tsinghua University. Before that, he led a quant research team at a $60B quant hedge fund.\n\n[**Kenneth Wu**](https://www.linkedin.com/in/wukenneth/) was a quant at Canada’s largest quant fund. Previous roles in SWE at Amazon Web Services and Analyst at the Ontario Teachers’ Pension Plan.\n\n[**Naijide Anwaer**](https://www.linkedin.com/in/naijide-anwaer) was the youngest Platform PM at Binance US. He speaks 4 languages.\n\n[**Garreth Lee**](https://www.linkedin.com/in/garrethlee) was an ML engineer and the first Indonesian at Hugging Face, where he helped build the world’s best open pre-training dataset. Previously a member of technical staff at Cohere.\n\nAlso shoutout to our founding PM @Ahnaf Muqset Haque\n\n# **Our Ask**\n\nDo you know any researchers or data partnership managers at any AI labs? We’d love to get in touch! We’re trying to learn as much as we can about the data bottlenecks that are preventing researchers from making progress.\n\nYou can reach us at [**contact@mundoai.world**](mailto:contact@mundoai.world)\n\n![uploaded image](/media/?type=post&id=88044&key=user_uploads/89898/1f30211a-9e17-45c0-bab2-e5477ece04a1)\n\n", "url": "https://www.ycombinator.com/launches/Mu4-mundo-ai-high-quality-multilingual-training-data-for-ai-models", "votes": 67, "created_at": "2025-02-26T01:50:57.921Z" } ] }, { "id": 30272, "name": "Lucidic AI", "slug": "lucidic-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f666d84f3ea0fbb63226b5b84cd46c97e83f4414.png", "website": "https://lucidic.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Lucidic is trying to find a new paradigm to teach models. The last decade made models intelligent, but intelligence is not the same as experience. Humans do not get better by memorizing thousands of examples; we build learning systems around ourselves: skills, memories, critique, practice, tools, and guidance. And every person learns differently because every task is different. Lucidic brings that idea to AI agents by training a custom learning system for each agent, so it learns what to remember, what skills to build, when to ask for help, and how to improve from experience. The model provides the intelligence, Lucidic gives it a way to learn.", "one_liner": "Reimagining how Machines Learn ", "team_size": null, "industry": "B2B", "subindustry": "B2B", "launched_at": 1736904770, "tags": [ "AIOps", "Developer Tools", "SaaS", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "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/lucidic-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/lucidic-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/105580616/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f666d84f3ea0fbb63226b5b84cd46c97e83f4414.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": 2183616, "full_name": "Abhinav Sinha", "title": "Founder/CEO", "founder_bio": "Hi, I’m Abhinav the founder and CEO for Lucidic AI! I’m from Stanford where I studied Computer Science with an AI specialization (both bachelor's and master's) and did research at Stanford's AI Lab. I’ve worked at Apple as a software engineer and at Citadel Securities and Susquehanna International Group as a quant. \n\nIn my free time, I like to play basketball, pickleball, lift, and rewatch Christopher Nolan movies!\n\nFeel free to reach out, would love to chat -- abhinav@lucidic.ai ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/abhinavsinha15/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b9b8b7c2a005b7d2a2f4231aba78117677082f03.jpg" }, { "user_id": 2373805, "full_name": "Andy Liang", "title": "Founder/CTO", "founder_bio": "Founder/CTO at Lucidic AI, working on an analytics, testing, and simulations framework for AI agent devs. Stanford BS/MS Computer Science (AI specialization). Ex Citadel, AppLovin. \n\nPreviously built GrocerCheck, a COVID-19 web app helping shoppers social distance effectively, with over 200,000 users and endorsed by the Government of Canada. \n\nReach me at andy@lucidic.ai", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/andyliang223/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3c501422ab10290f03dc7c6e7b85cf3be1715f93.jpg" }, { "user_id": 2373806, "full_name": "Jeremy Tian", "title": "Founder", "founder_bio": "Hi! I'm Jeremy Tian, one of the founders and the Chief Scientist at Lucidic AI, working to explain your AI models' decisions. I have a BS/MS in Computer Science with an AI specialization from Stanford University. Ex. Quantitative Trader at DRW and software engineering/machine learning engineering at Steel Dynamics. Contact me at jeremy@lucidic.ai!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jeremy-tian-a2076a239/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a05c261a89cb8f8bde42c10b8654a299f061adaf.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30273, "name": "Candor", "slug": "candor-security", "former_names": [ "Physion Works", "Sophris", "Mirror", "Anomaly", "Bastion", "Haleum" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fb05bd36fb4b277d12ebca5a33307afd09834f65.png", "website": "https://candor.security/", "all_locations": "San Francisco, CA, USA", "long_description": "Candor is agentic data loss prevention (DLP) and insider risk management. Employees share sensitive data with third parties and email source code to personal inboxes every day. For fast-moving companies, protecting these crown jewels and customer trust is core to closing deals. Legacy DLP tools can cross off compliance checkboxes but flood security teams with false positives. Candor's AI agents understand both the data movement and the person behind it, giving lean security teams broad coverage without the noise. ", "one_liner": "Protect your data and stop insider risk", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1740017526, "tags": [ "Cybersecurity", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 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/candor-security", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/candor-security.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/candorsec", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fb05bd36fb4b277d12ebca5a33307afd09834f65.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/b25c6e96323189fdf2430d59f53794c097b86ff7.png" ], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 1583056, "full_name": "Ansh Gupta", "title": "Founder", "founder_bio": "Co-Founder/CTO @ Candor (https://candor.security/). We help companies protect themselves from data loss and insider threats with AI.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gupta-ansh", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6b5ede187d11f52f613d3711eada87cdc8a0c23b.jpg" }, { "user_id": 1753464, "full_name": "Aditya Iyengar", "title": "Founder", "founder_bio": "Co-founder @ Candor. Prev SWE @ Flutterflow (W21), Uber, and NASA. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aditya-v-iyengar", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a6ea81edf6ac8bc6f2c111cae88700e84d81acdf.jpg" } ], "jobs": [ { "id": 93340, "title": "Senior Full-Stack Engineer", "url": "https://www.ycombinator.com/companies/candor-security/jobs/VHLrfOO-senior-full-stack-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "0.20% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Express", "Node.js", "React", "Docker", "Information Security", "AI Agents" ] } ], "news": [], "launches": [] }, { "id": 30274, "name": "Trata", "slug": "trata", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/508cd0aa179903aea336ffc42458a82d33d548ac.png", "website": "https://www.trytrata.com/", "all_locations": "New York City, NY, USA", "long_description": "Trata is an AI-powered research desk for hedge funds. We use agents to interview hedge fund analysts, write investment research, and distribute this through a subscription.", "one_liner": "AI-powered research desk for hedge funds", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1738274242, "tags": [ "Finance", "B2B", "Community", "Investing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "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/trata", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/trata.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/trata-inc/", "x_url": "https://x.com/trytrata", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/508cd0aa179903aea336ffc42458a82d33d548ac.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": 1739520, "full_name": "Eric Cho", "title": "Founder/CEO", "founder_bio": "Co-Founder/CEO at Trata (W2025). Previously a technology investor at a L/S hedge fund. Cornell grad. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/emc329", "x_url": "https://x.com/_ericcho", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c7672c5c8a278175b28daf292d82025e1a802d29.jpg" } ], "jobs": [ { "id": 93284, "title": "Business Operations Intern", "url": "https://www.ycombinator.com/companies/trata/jobs/72esYnV-business-operations-intern", "location": "New York, NY, US / Remote (US)", "type": "Internship", "role": "Operations", "role_type": null, "salary_range": "$15 - $30 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 94620, "title": "Research Scientist Intern", "url": "https://www.ycombinator.com/companies/trata/jobs/2SPS2Ou-research-scientist-intern", "location": "San Francisco, CA, US / New York, NY, US", "type": "Internship", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$10K - $17K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 110020, "title": "Marketplace Operations Manager", "url": "https://www.ycombinator.com/companies/trata/jobs/uR1gMzW-marketplace-operations-manager", "location": "New York, NY, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$120K - $150K", "equity_range": "0.20% - 0.50%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Everyone Wants Debt, Not Equity - Bloomberg", "url": "https://www.bloomberg.com/opinion/articles/2025-03-19/everyone-wants-debt-not-equity", "date": "Mar 18, 2025" } ], "launches": [ { "id": 87903, "title": "Trata – Anonymous buyside research desk for hedge funds", "tagline": "Trata uses AI agents to help hedge funds find their next 10-bagger", "body": "### **TL;DR**\n\nTrata gives hedge funds un-biased, unfiltered stock analysis from anonymous Analysts at well-known funds. Our AI agents interview Analysts at multi-billion dollar funds, capture their thinking about the stocks they know and publish it anonymously.\n\n### **Problem:**\n\n1. It takes buyside Analysts at least 3 hours to figure out a company’s key narratives/points of debate - what outcomes are going to drive the share price up OR down? Examples: an ongoing lawsuit, a competitor going bankrupt, an Activist campaign, a new CEO, etc. This involves reading earnings call transcripts, initiation reports, talking to Investor Relations, reaching out to other Analysts, and piecing everything together yourself.\n2. Because of the time it takes to do step 1, would-be winners/inflection points fall through the cracks all the time.\n3. Current solutions (idea dinners, forums like Value Investors Club, Twitter DMs, independent research boutiques and even paid Substacks) are fragmented and biased.\n4. The highest quality leads come from talking directly to fellow Analysts, but there’s never been a way to do this at scale, authentically. Until now.\n\n### **Solution:**\n\nWe use LLMs to interview dozens of people a day, get their quick and honest takes on signals/points of debate they’re actually paying attention to, and turn that into a one-of-a-kind research product. Each conversation is with an anonymous hedge fund Analyst who is deeply familiar with the company – think an expert network where the hedge funds are the experts. Contributors share their knowledge to gain access to an exponentially bigger pool of expertise.\n\nWe don’t provide investment advice; we just get you up to speed – fast. We work directly with the compliance teams of multi-billion dollar hedge funds and have a team of human lawyers to ensure SEC compliance.\n\nWe are building the product I wish I had as an Analyst. Our first user interviews liked the idea so much (without any code built) that they are now our angels.\n\n\n\n### **Here’s how to think about our value proposition:**\n\nIf a fund manages $300 million, one successful idea (3% position, +50% return) generates $4.5 million in profit and $900K in fees ($720/180K split between the Portfolio Manager and Analyst). This is a 750X, 120X, and 30X ROI on a $6K subscription for the Fund, Portfolio Manager and Analyst.\n\nAll it takes is one decent idea for Trata to be a home run.\n\n### **Our Ask:**\n\nIf you are a hedge fund Analyst or know any hedge fund Analysts / public investors, please reach out! They don't have to be at a big fund like Citadel for us to be interested. We pay very well. They will most likely thank you for the intro. We guarantee anonymity. Contact us at [founders@trytrata.com](mailto:founders@trytrata.com).\n\n### **Our Team’s Story:**\n\nEric and Will met at Cornell as undergrads. Eric and Alex met in high school English and grew up in the same hometown.\n\n[Eric](https://www.linkedin.com/in/emc329/): 4.5 years as a Senior Analyst at a Long/Short Hedge Fund covering tech companies globally. Applied Economics (summa cum laude) at Cornell. Posts on Value Investors Club for fun, Sohn Idea Contest Finalist in 2021, has traveled to 20+ countries in the past few years.\n\n[Will](https://www.linkedin.com/in/william-m-gao/): UChicago PhD Student (ML/AI). Research Scientist Intern at Meta’s Reality Labs, Nvidia’s Deep Imagination Lab, and Adobe Research. Full-time ML Engineer at Meta. CS/Stats/Math triple major in three years and a Master’s in CS his fourth year at Cornell. Globally ranked in certain online video games.\n\n[Alex](https://www.linkedin.com/in/alexanderqchen/): Senior Software Engineer at Titan (YC S18, Series C backed by a16z), Engineer 7 at Medallion (Series C backed by Sequoia), Software Engineer at Oscar Health a year before its IPO. CS degree from UCLA. Took a gap year to pursue bootstrapped entrepreneurship in Taiwan. By far the best chef in the apartment.\n\n![uploaded image](/media/?type=post&id=87903&key=user_uploads/1739520/7ff92c6e-665c-4393-991d-865dda1479be)\n\n", "url": "https://www.ycombinator.com/launches/Mrn-trata-anonymous-buyside-research-desk-for-hedge-funds", "votes": 58, "created_at": "2025-02-21T18:41:41.234Z" } ] }, { "id": 30275, "name": "Solidroad", "slug": "solidroad", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e235868e8e4de548938b3bee8d00cc732d181561.png", "website": "https://solidroad.com", "all_locations": "San Francisco, CA, USA", "long_description": "Solidroad builds AI agents for CX teams, starting with training and QA. Solidroad agents train human reps in a simulated environment, and evaluate their performance in live customer channels.\r\n\r\nBy starting with training and QA, our agents learn how humans learn, and their performance can be compared directly with human reps. This enables us to prove the value of the rest of the agents on our roadmap.\r\n\r\nSince launching last summer, we’ve reduced onboarding times by 50% at several of the world’s largest outsourced contact centres/BPOs like PartnerHero and Tech Mahindra, and improved go-live CSAT at Crypto.com by 3% (now above 90% CSAT).", "one_liner": "AI agents for CX teams, starting with training and QA.", "team_size": 6, "industry": "B2B", "subindustry": "B2B", "launched_at": 1734365180, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/solidroad", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/solidroad.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/solidroad/?viewAsMember=true", "x_url": "https://x.com/getsolidroad", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e235868e8e4de548938b3bee8d00cc732d181561.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": 1146096, "full_name": "Mark Hughes", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of Solidroad (W25). Before Solidroad, I founded Gradguide, a coaching and mentorship network for recent grads, where I raised €2M, grew the team to 20, and exited in late 2022.\n\nEarlier in my career, I led Sales, Support, and Customer Success for EMEA at Chargify (now Maxio) and worked as an early sales rep at Intercom. I studied Business at Trinity College Dublin and spent a year at HEC Paris.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mark-hughes-a36915a7/", "x_url": "https://x.com/markhuqhes", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eab091b3a2ba26aba37f31c19abb5375d3466f45.jpg" }, { "user_id": 342569, "full_name": "Patrick Finlay", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO of Solidroad (W25) and a second-time founder. Previously co-founded Monaru (S2019), where we helped individual creators earn $100k+ each by selling live classes online.\n\nBefore that, I was as a product engineer at Intercom. I hold a BAI in Computer Engineering from Trinity College Dublin; my research focus was on dispute resolution mechanisms for Ethereum smart contracts.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/patjfin/", "x_url": "https://twitter.com/patjfin", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3579031242072b6acba18dd84cc098c4f8293041.jpg" } ], "jobs": [ { "id": 75036, "title": "Senior Product Engineer", "url": "https://www.ycombinator.com/companies/solidroad/jobs/2b4DWxs-senior-product-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $250K", "equity_range": "0.40% - 0.60%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "JavaScript", "Next.js" ] } ], "news": [ { "title": "A new chapter for Solidroad: $25M to make every customer interaction count - AI QA & Training Platform for CX Teams | Solidroad", "url": "https://www.solidroad.com/resources/series-a", "date": "Apr 16, 2026" }, { "title": "Solidroad raises $6.5M to help CX teams increase CSAT without increasing cost - AI QA & Training Platform for CX Teams | Solidroad", "url": "https://www.solidroad.com/resources/solidroad-raises-6-5m-to-help-cx-teams-increase-csat-without-increasing-cost", "date": "Jun 05, 2025" } ], "launches": [ { "id": 86367, "title": "Solidroad - AI agents for sales and support teams, starting with training and QA", "tagline": "AI agents for sales and support teams, starting with training and QA", "body": "**TLDR**:\n\nSolidroad builds AI agents for sales and support teams, starting with training and QA. Solidroad agents train human reps in a simulated environment, and evaluate their performance in live customer channels.\n\nBy starting with training and QA, our agents learn how humans learn, and their performance can be compared directly with human reps. This enables us to prove the value of the rest of the agents on our roadmap.\n\nSince launching last summer, we’ve **reduced onboarding times by 50%** at several of the world’s largest outsourced contact centres/BPOs like PartnerHero and Tech Mahindra, and **improved go-live CSAT at **[**Crypto.com**](http://Crypto.com)** by 3%** (now above 90% CSAT).\n\nIf you run a large support or sales team and care about conversation quality - we would love to speak with you!\n\n[Demo Video:](https://www.youtube.com/watch?v=ONeUPOsK6ss&ab_channel=PatrickFinlay)\n\n**The Problem:**\n\nSales and support teams struggle to consistently deliver high-quality customer interactions. Onboarding new hires takes too long, trainers and QA analysts spend excessive time manually reviewing only a small sample of conversation volume (3-5% at best), and skill gaps often go unaddressed until it’s too late.\n\nWithout full conversation coverage, real-time insights and tailored training, companies face reduced win rates, poor customer satisfaction (CSAT) scores, and inefficiencies that cost time and revenue.\n\n**The Solution:**\n\nSolidroad provides AI agents for conversation training and quality scoring. Sales and support teams use Solidroad to **practice conversations with AI agents** through phone, email, chat, and video calls. Each interaction gets scored and is provided with tailored coaching and feedback.\n\nThe same **scorecards** can be applied to **real customer conversations**, spotting where teams need to improve. Solidroad agents replace manual role-playing and call/chat reviews by analyzing every single conversation—both practice and real ones. By integrating with tools like Intercom, Zendesk, and Gong, Solidroad ensures teams are continually improving in both training environments and live customer interactions.\n\n![uploaded image](/media/?type=post&id=86367&key=user_uploads/1146096/f728213e-9756-4bff-82be-d5a326213988)\n\nWe help teams:\n\n* Reduce onboarding time for new hires with conversation training in a risk-free environment.\n* Save trainer & QA time with automated, scalable coaching & feedback loops.\n* Improve team performance, leading to higher win rates and CSAT scores.\n\n![uploaded image](/media/?type=post&id=86367&key=user_uploads/1146096/45d164e0-c93a-4538-87cd-97f836c48df8)\n\n**About Us:**\n\nPatrick and I are both second-time founders and worked closely together at Intercom. Patrick would build cool tools at Intercom and I would then be the beta tester and try to sell them. One of these projects is still live 7 years on - (I look a little younger in this video vs. the demo above 👴)\n\nI sold my last company, Gradguide, which was a graduate training and mentorship platform for students and grads. Before this, I was the Head of Sales for Chargify in EMEA and an early sales hire at Intercom.\n\nPreviously, Patrick co-founded Monaru (S2019), where we helped creators earn $100k+ selling live classes online during COVID. Before that, he was a product engineer at Intercom where he built tools for their sales and support use case.\n\n![uploaded image](/media/?type=post&id=86367&key=user_uploads/1146096/5f3d9707-48a0-4fb8-a9a0-8ec86568bc9e)\n\n**Our Ask:**\n\nIf you (or someone you know) are hiring 100+ reps/month for their sales or support teams and are having trouble with their go-live CSAT scores or ramp times, please reach out.", "url": "https://www.ycombinator.com/launches/MT1-solidroad-ai-agents-for-sales-and-support-teams-starting-with-training-and-qa", "votes": 20, "created_at": "2024-12-17T20:29:24.802Z" } ] }, { "id": 30276, "name": "General Trajectory", "slug": "general-trajectory", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c79fb57c52ab75fc14e93779100504407b5e064.png", "website": "https://www.generaltrajectory.com/", "all_locations": "Los Angeles, CA, USA", "long_description": "General Trajectory is using AI to solve the world's most important problems, from autonomous defense to scientific R&D.", "one_liner": "AI for the physical world", "team_size": 1, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1738545890, "tags": [ "Robotics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "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/general-trajectory", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/general-trajectory.json", "year_founded": 2024, "city": "Los Angeles", "country": "US", "linkedin_url": "https://linkedin.com/company/generaltrajectory", "x_url": "https://x.com/gentrajectory", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c79fb57c52ab75fc14e93779100504407b5e064.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4a09fcc4294bb183b611351cfbd5c9e4d1bb97cb.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/203af2059eae51bdf6c7d474ffde4132486c0709.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 1366241, "full_name": "Joshua Belofsky", "title": "Founder/CEO", "founder_bio": "Recent graduate focusing on AI for the physical world. Background is in academic ML research.", "is_active": true, "linkedin_url": "https://linkedin.com/in/joshua-belofsky-25328523b", "x_url": "https://x.com/joshuabelofsky", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4f608bc7f9da030e188bbc67691c92726b24e872.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 96524, "title": "🤖 General Trajectory - A Foundation Model for Humanoid Robots", "tagline": "Reward-guided imitation learning for dexterous manipulation", "body": "\n\n## What is it?\n\nA foundation model that helps humanoid robots pick up unseen objects and perform real-world work. It generalizes to novel objects and scenes, including cases where prior SoTA models achieve 0% success.\n\n![uploaded image](/media/?type=post&id=96524&key=user_uploads/1366241/6cbcabb4-44fe-4d86-8b20-4b5220709f58)\n\n## The problem\n\nHumanoid robots can do backflips and kung fu, but still struggle with economically useful work. Dexterous manipulation is the main bottleneck to useful physical labor.\n\n## Our approach\n\nWe collect an efficient set of human demonstrations and train a reward model to improve the base model's grasps.\n\n![uploaded image](/media/?type=post&id=96524&key=user_uploads/1366241/86269800-22b9-4a15-bf3c-7d63285ea25d)\n\nThe result is strong generalization: up to 63% gains on difficult objects where the best baselines achieve 0%, while maintaining near-perfect performance on standard objects. Full details are available in our [technical post](https://www.generaltrajectory.com/technical-update).\n\nThe physical world is 80% of global GDP. We believe this research represents progress toward a future in which AI systems are not limited to computer work.\n\n## Open-source\n\nWe open-sourced our teleop stack!\n\n\n\nIt uses vision + wrist trackers instead of data gloves → about **$500** in hardware vs. **\\~$5,000**.\n\n![uploaded image](/media/?type=post&id=96524&key=user_uploads/1366241/aeeb02d9-821a-44b5-bef0-f491af1fa15a)\n\n## Call to action\n\nIf you are interested in AI for the physical world (scientific R&D, defense, etc.), please reach out!\n\n* Website: \n* X: ", "url": "https://www.ycombinator.com/launches/P6q-general-trajectory-a-foundation-model-for-humanoid-robots", "votes": 15, "created_at": "2026-01-05T15:51:54.579Z" }, { "id": 88311, "title": "General Trajectory – Reasoning Models for Robotics", "tagline": "Bringing AI into the physical world", "body": "# **TL;DR**\n\nWe’re training models that can reason through physical tasks using chain-of-thought to automate traditionally difficult work in industrial environments like warehouses and manufacturing facilities.\n\n![uploaded image](/media/?type=post&id=88311&key=user_uploads/1366241/ed2288b5-baa9-4959-896d-cd75e4074858)\n\n# How it works\n\nWe fine-tune vision-language models to output low-level robotic controls across primary tasks in logistics: mixed-sku palletization, item picking, sorting, and packing.\n\nBefore predicting the next action, our model is explicitly trained to `` about its next step. This allows it to reason through long-horizon tasks.\n\n\n\n# RL from Verifiable Rewards\n\nOur fine-tuned model is then rolled out in Nvidia’s Isaac Sim where it generates reasoning + action traces that get scored using simple verifiers. This continues to improve the model using photorealistic data without any human in the loop.\n\n![uploaded image](/media/?type=post&id=88311&key=user_uploads/1366241/db7af549-6c06-433d-a8da-16d6dffd5737)\n\n# Our ask\n\nWe see logistics as an entry point to even greater automation across industries. Soon you will be able to tell AI to do any physical tasks in the same way current systems can handle the cognitive ones.\n\nIf you have any tasks you’d like to automate or know of anyone interested in working on embodied AI, please reach out: [joshua@generaltrajectory.com](mailto:joshua@generaltrajectory.com)\n\n# The Team\n\n![uploaded image](/media/?type=post&id=88311&key=user_uploads/1366241/ed970f7d-fd66-473d-9c72-17cc18dedb5d)\n\nJoshua studied CS & neuroscience at the University of Chicago but spent most of his time outside of class doing ML research. He first joined NASA Ames Research Center and later worked at Caltech. His [research](https://scholar.google.com/citations?user=RoD9hE8AAAAJ&hl=en) focused on generally capable AI agents and reasoning.", "url": "https://www.ycombinator.com/launches/MyN-general-trajectory-reasoning-models-for-robotics", "votes": 15, "created_at": "2025-03-06T15:48:57.648Z" } ] }, { "id": 30277, "name": "ReJot", "slug": "rejot", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f75ba97279846098d21850986cc1298a5b21d9a0.png", "website": "https://rejot.dev", "all_locations": "Amsterdam, NH, Netherlands", "long_description": "ReJot is building Fragno to let API companies go from simply exposing an API to offering drop-in integrations that work out of the box.\r\n\r\nFragno is an open‑source framework for packaging backend endpoints, data storage patterns, and frontend utilities into reusable building blocks. API providers ship full integrations, not just low‑level SDKs and docs.\r\n\r\nCustomers configure rather than write code, so integrations are both much faster to launch and far more consistent across customers.", "one_liner": "We turn complex API integrations into drop‑in full‑stack libraries ", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1737760830, "tags": [ "Developer Tools", "API", "Infrastructure", "Databases" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Netherlands", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/rejot", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/rejot.json", "year_founded": 2024, "city": "Amsterdam", "country": "NL", "linkedin_url": "https://www.linkedin.com/company/rejot/", "x_url": "https://x.com/ReJotSync", "fb_url": null, "cb_url": null, "github_url": "https://github.com/rejot-dev/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f75ba97279846098d21850986cc1298a5b21d9a0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/68e338dd900d2b3b7d20081a394ee01f7ab156fd.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 2356635, "full_name": "Wilco Kruijer", "title": "Founder/CEO", "founder_bio": "CEO & Co-founder at ReJot, previously worked on a distributed financial platform at Adyen. Interested in the relation between distributed data and software maintainability.", "is_active": true, "linkedin_url": "https://linkedin.com/in/wilcokruijer/", "x_url": "https://twitter.com/WilcoKr", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c559d7b970c16e5775029a16c951070b472d676c.jpg" }, { "user_id": 2377112, "full_name": "Jan Schutte", "title": "Founder/CTO", "founder_bio": "CTO & Co-founder at ReJot, former Data Platform Engineer at Adyen, interested in distributed systems and database technologies. Current product is https://fragno.dev/", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jan-schutte-183145135/", "x_url": "https://x.com/Jan_Schutte", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5b79dd57e3e607f50dbdb4bce0ff2926a9e3da01.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 88081, "title": "ReJot - Enterprise Synchronization Engine", "tagline": "Sync engine to share data across engineering teams in enterprises", "body": "Hey everyone, we're Wilco & Jan, co-founders of ReJot! We're building a sync engine that helps big companies share data across engineering teams. We increase developer velocity and, most of all, ensure companies are not forced onto Kafka when they don't actually need event streaming.\n\n\n\n# The Problem\n\nGrowing companies are forced to adopt micro-services as their desire to give engineering teams autonomy increases. The number one reported problem in this architecture paradigm is **data silos**. Silos create high coordination overhead when integrating data from other engineering teams, slowing down development and delaying product launches.\n\nThe industry has defaulted to event streaming platforms like Kafka to enable teams to share data asynchronously. As a result, enterprise software architectures are pushed into an event-driven model. However, events come with inherent complexity—they encode **something happening** rather than **something being** (i.e., state).\n\n**We believe that events are used for no good reason other than the infrastructure forcing developers onto them.**\n\n# Solution\n\nReJot is a **sync engine** that enables sharing data between back-end services without the need for APIs or event streaming. We break data silos without forcing a paradigm shift from state to events.\n\nWe do this in the following way:\n\n* **Familiar Querying:** by syncing database-to-database, ReJot allows engineers to query data from other teams **directly from their own database**. Developers use what they know best: SQL queries.\n* **Sharing Data:** We realize that internal database schemas are sacred, and they should never be public directly. ReJot provides strong **data-sharing primitives**, allowing data owners to control _what_ and _how_ data is shared. Simplicity is key—setting up data publications in ReJot is trivial.\n* **Integration Flexibility:** Downstream teams don't necessarily need data in the same shape as the original source. SQL queries are used once more to transform the data to fit the integrating team's needs.\n* **Data Catalog**: Integrating data is impossible without first understanding what data is available. Our system overview maps an enterprise's software architecture through its databases, allowing the user to explore and search schemas to uncover opportunities for deep integration between products.\n\n![uploaded image](/media/?type=post&id=88081&key=user_uploads/2356635/d80813fb-077e-4916-98f0-bae320ddd57c)\n\n_\\[This overview shows how accounts owned by the accounting team are made public and integrated into the banking database by means of the \"Accounts Consumer\" integration.\\]_\n\n# Launching Today\n\nToday, we’re excited to launch the **open-source** Limited Access Preview of ReJot!\n\nOur control plane doubles as a database catalog, providing a unified view of all data stores within your organization. Connect Postgres databases to document your system architecture.\n\nIn the coming weeks we'll be rolling out ReJot's synchronization functionality to select users. As we scale our infrastructure, more users will be onboarded.\n\n![uploaded image](/media/?type=post&id=88081&key=user_uploads/2356635/c2ee7761-283c-4064-af0e-44984f23320a)\n\n# The Team\n\nWe met nearly 10 years ago in Amsterdam where we studied Computer Science together, and have been friends ever since.\n\n* Wilco (CEO) worked as a software engineer on Adyen's banking infrastructure. During a period of high growth he worked on the internal ledgering system and a framework to sync bank account data throughout the company, which inspired ReJot. He also has a background in software maintainability research.\n* Jan (CTO) was a data platform engineer for Adyen's big data platform. There, he managed infrastructure for 600+ ETL pipelines created by 50+ teams that produced hundreds of terabytes of data every week. Jan is a published AI researcher.\n\nThrough a shared passion of modern software technology and reducing complexity in enterprise systems we connected the dots to create ReJot's sync engine.\n\n# The Ask\n\n* _🔗_ Share this post! Do you know of any organizations struggling with their distributed architecture? Reach out to us at [founders@rejot.dev](mailto:founders@rejot.dev) —we’d love to help!\n* ⭐️ Star us on [GitHub](https://github.com/rejot-dev/rejot), follow us on [X](https://x.com/rejotsync) & [LinkedIn](https://www.linkedin.com/company/rejot)\n* 📧 Sign up for our [newsletter](https://rejot.dev/email-updates/)\n* 🌐 Connect your databases & learn more: \n\n![uploaded image](/media/?type=post&id=88081&key=user_uploads/2356635/98e4ff65-8266-448c-a2c9-637da1065625)\n\n", "url": "https://www.ycombinator.com/launches/Muf-rejot-enterprise-synchronization-engine", "votes": 84, "created_at": "2025-02-26T21:55:32.444Z" } ] }, { "id": 30278, "name": "Agentin AI", "slug": "agentin-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/da9bdd65896a691965e96e56efdfaa0880fcac0e.png", "website": "https://www.agentin.ai", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Foundational model research", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1740032946, "tags": [ "Reinforcement Learning", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "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/agentin-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/agentin-ai.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "http://linkedin.com/company/agentin-ai", "x_url": "https://x.com/ai_agentin", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/de1aaf20-8ab6-4c76-bf26-fb6dfbb2d0de", "github_url": "https://github.com/agentin-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/da9bdd65896a691965e96e56efdfaa0880fcac0e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/67234eea6d230948adda5840a5b4f2210d2fd67e.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f93fcd1962726b7c4845afc71c02d000d90d3399.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 423828, "full_name": "Sankeerth Rao Karingula", "title": "Founder/CEO", "founder_bio": "Sankeerth is the Founder and CEO of Agentin AI, an AI research lab training foundation models to conduct original research.\n\nPreviously a Research Scientist at Google, he holds a PhD in Machine Learning from UC San Diego and studied Electrical Engineering at IIT Bombay.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sankeerthrao", "x_url": "https://x.com/sankeerth1729", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/581460eed0156434e9f8b1730921d9e331551c71.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 88196, "title": "Agentin AI - Training Foundation Models for Research", "tagline": "An AI research lab training models to conduct original research.", "body": "We are building foundation models designed to work on problems without known answers.\n\nOur goal is to train models that can explore ideas, form hypotheses, test approaches, and build on their findings to make new discoveries.", "url": "https://www.ycombinator.com/launches/MwW-agentin-ai-training-foundation-models-for-research", "votes": 11, "created_at": "2025-03-03T05:53:49.367Z" } ] }, { "id": 30279, "name": "Bystreet", "slug": "bystreet", "former_names": [ "Doublecall", "Vovana", "Bystreet", "Snowbase", "Highintent", "Gowatch" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/17421a7106c2aa1e760abcb7892a8de8d04a9e7a.png", "website": "http://www.bystreet.com", "all_locations": "San Francisco, CA, USA", "long_description": "Identify and connect with the owners and key decision-makers behind 300,000+ hotels globally. Our customers include the world's leading hospitality firms: Marriott International, Choice Hotels, Wyndham Hotels & Resorts, Hotel Equities, and more. ", "one_liner": "Connect with hotel owners around the world.", "team_size": 4, "industry": "B2B", "subindustry": "B2B", "launched_at": 1740115759, "tags": [ "SaaS", "B2B", "Proptech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "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/bystreet", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/bystreet.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/gowatchai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/17421a7106c2aa1e760abcb7892a8de8d04a9e7a.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": 945679, "full_name": "Charlie Maki", "title": "Founder/CTO", "founder_bio": "Co-founder @ Bystreet. Harvard CS '23. Prev: Launched and scaled startup from $0 to $1M ARR and 10,000 paid users as founding engineer.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/charlie-maki-40543617a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f6ad3bff81465ae6f0fd56176e39a5b23981719f.jpg" }, { "user_id": 1571157, "full_name": "Corey Anderson", "title": "Founder", "founder_bio": "CEO & Co-founder of Bystreet. \n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/corey-anderson-3875a11aa/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/de78126b8d93c41d015a84f73438392f4f702164.jpg" }, { "user_id": 1541133, "full_name": "Cameron Hake", "title": "Founder", "founder_bio": "Founder of Bystreet. Studied CS and data science at UW-Madison. Previously worked on sonar systems for the Navy.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cameron-hake-651062194/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c2045dddeca1fdd5bb79600cd379a60db02a1bf2.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98045, "title": "Hotel Ownership & Contact Database", "tagline": "Your key to the hotel market. ", "body": "**TL;DR** Bystreet provides comprehensive intelligence on 16,000+ hotels across the Caribbean and Latin America — including ownership details, market insights, and key decision-maker contact information.\n\n![uploaded image](/media/?type=post&id=98045&key=user_uploads/1571157/bc0cda2c-623a-4b9e-9291-abb5b461a006)\n\nToday, we're launching Bystreet. The Caribbean and Latin American hospitality market is booming, and while many firms are eyeing the region for growth, most are still operating on thin intel, dated relationships, and boots on the ground. The problem is that hotel data is highly fragmented, and property ownership is often opaque.\n\nBystreet solves this with AI agents that extract and verify data from thousands of public, government, and offline sources to build the first structured identity graph of hotel properties, owners, and decision-makers across CALA. This removes the manual effort associated with finding qualified leads as a supplier, hotel brand/operator, or capital allocator looking to grow a presence across the region. Whoever owns the data owns the market.\n\nThe founders studied computer science and economics at Harvard and UW–Madison, did stints at hedge funds, sales at Datasite and Box, and built surveillance systems for the U.S. Government.\n\nFeel free to reach out with any questions/comments or book a demo here:[ https://cal.com/coreyanderson/30min](https://cal.com/coreyanderson/30min)\n\nThanks,\\\nCharlie, Cam, and Corey\n\n\n\nContact details: [founders@bystreet.com](mailto:founders@bystreet.com) or (650)387-4622", "url": "https://www.ycombinator.com/launches/PVN-hotel-ownership-contact-database", "votes": 13, "created_at": "2026-02-21T21:21:42.115Z" }, { "id": 96152, "title": "Gowatch: AI Monitoring Platform for Businesses", "tagline": " Track competitors, customers, investments, and more.", "body": "**TL;DR** Monitor your market with AI agents. Keep track of buying signals, competitors, pricing pages, funding rounds, Luma events, the YC directory, and more with Gowatch. We’ll personally set up any monitors you want for free.\n\n![uploaded image](/media/?type=post&id=96152&key=user_uploads/1571157/48345aa8-4bad-4798-a9e5-c0197dcb2b74)\n\n**Check out: [https://www.gowatch.ai/](https://www.gowatch.ai/)**\n\nToday we’re launching Gowatch. We use AI agents to search and monitor the web for anything important to your business and alert you the moment it happens. Modern businesses lack a complete picture of their market, and we provide them with complete clarity.\n\nFlow of the app:\n\n![uploaded image](/media/?type=post&id=96152&key=user_uploads/1571157/ef31d104-cff5-4335-969a-a2bed7eac891)\n\n![uploaded image](/media/?type=post&id=96152&key=user_uploads/1571157/cfa8a2bc-622c-4bb2-81bd-d60bc532b7ee)\n\nResults:\n\n![uploaded image](/media/?type=post&id=96152&key=user_uploads/1571157/e0ff560b-6628-43be-abec-a870b73a91c3)\n\nWe studied economics and computer science at Harvard and UW–Madison, worked in private equity, GTM at Datasite and Box, and built surveillance systems for the U.S. Government.\n\nWe offer a very generous free trial, and we’d love for you to give it a shot.\n\nLet us know what you think or if you have any questions @ [**founders@gowatch.ai**](mailto:founders@gowatch.ai)\n\nThanks,\\\nCharlie, Cam, and Corey\n\n![uploaded image](/media/?type=post&id=96152&key=user_uploads/1571157/cd0ab5e4-ea9d-4e5e-bfc3-9d97de796527)\n\n", "url": "https://www.ycombinator.com/launches/P0q-gowatch-ai-monitoring-platform-for-businesses", "votes": 25, "created_at": "2025-12-11T21:24:09.518Z" } ] }, { "id": 30281, "name": "Waypoint Transit", "slug": "waypoint-transit", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/01d8fc8778559bd4b0a49a7f77d4d7cd0c4c3f19.png", "website": "https://waypointtransit.com", "all_locations": "", "long_description": "Waypoint Transit is an AI city planner that generates civil infrastructure studies. Cities spend $50B/year on planning. With Waypoint, cities can generate reports in months rather than years, and at 30% of the cost.\r\n\r\nVarun and Ryan met at Stanford, where they graduated with degrees in CS and EE respectively. Before founding Waypoint, Varun worked on AI at Microsoft and Ryan worked on chip design at Apple.\r\n\r\nUS cities are facing three major crises: congestion, budget deficits, and climate change. At the same time, city governments are understaffed and frequently need to contract work out to expensive consultants. Leveraging recent advancements in AI, we empower cities to reduce their costs, build infrastructure, and respond to problems quickly.\r\n\r\nIn the United States, state and local governments spend $50B/year on planning. Through automation, we can redefine the existing transportation and urban planning consulting markets.\r\n\r\nFor more information, visit waypointtransit.com or contact us at contact@waypointtransit.com.", "one_liner": "We automate urban planning so cities can build cheaper and faster.", "team_size": 2, "industry": "Government", "subindustry": "Government", "launched_at": 1738877677, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Government" ], "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/waypoint-transit", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/waypoint-transit.json", "year_founded": 2024, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/waypoint-transit/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/01d8fc8778559bd4b0a49a7f77d4d7cd0c4c3f19.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": 846930, "full_name": "Varun Tandon", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of Waypoint. Previously, led applied ML initiatives at Microsoft. Worked on diffusion models and LLM/LMMs for flagship Office products, including Copilot, Designer, and PowerPoint.\n\nB.S. and M.S. in Computer Science from Stanford University. \n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vrntandon/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/44656c913398c4cfc5e63ee2d03e6859ecce0839.jpg" }, { "user_id": 2273724, "full_name": "Ryan Johnston", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO of Waypoint Transit. Previously, chip design synthesis CAD at Apple. Then developed novel real-time transit signage for his hometown; this project eventually became Waypoint. \n\nB.S. and M.S. in Electrical Engineering from Stanford University.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ryan-johnston-b919a7180/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1a4a99bcbfa65575242dafdc5584ba0bad896274.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87795, "title": "Waypoint Transit 🚄 – The AI City Planner", "tagline": "We automate urban planning so cities can build infrastructure cheaper and faster.", "body": "**TLDR;** Waypoint is an AI city planner that generates infrastructure planning studies. American municipalities spend $50B/year on planning. With Waypoint, plans are completed faster and at lower cost, reducing project timelines from years to months.\n\n[Our Demo](https://www.youtube.com/watch?v=doRIYg9vi7A)\n\n## **The Problem**\n\nCities in the US spend **approximately $50B** annually on planning, studies, and engineering designs. These reports can take as long as 4 years to complete, and they’re often done by consultants.\n\nStudies are crucial first steps to securing state/federal funding and must happen before any construction can begin. They might look at where bus service needs improvement, which roads need bike lanes, or how to make school routes safer for kids walking to class.\n\nHere's the thing - when you look at what these consultants actually do, you find civil engineers doing **repetitive data entry, manipulation, and visualization**. And despite cities nationwide conducting very similar studies, consulting firms don't seem to be getting any more efficient at producing them.\n\n![uploaded image](/media/?type=post&id=87795&key=user_uploads/846930/25bfbaab-c13c-4167-bbf6-296174f18759)\n\n## **Our Solution**\n\nWe're using AI to automate planning, **starting with transportation consulting**. We help cities build better infrastructure **faster and at lower cost**. We work with cities just like traditional consultants, but use AI to do the heavy lifting instead of manual work. It turns out our model produces better plans at 30% of the cost and in a fraction of the time.\n\nSome work our AI city planner is doing today:\n\n* **Literature review** that looks at thousands of documents to find relevant best practices and plans from other cities\n* **Data unification** that combines satellite imagery, GIS mapping data, and Excel spreadsheets into a single source of truth\n* **Tables, charts, and interactive maps** to visualize infrastructure and transportation data\n* **Recommendations** that ensure compliance with municipal codes\n* **Report writing** tailored to city government\n\n## **Why We’re Working On This**\n\nWe love cities and public transportation, but we're concerned about their future in the US. Cities urgently need new transportation infrastructure to address growing congestion and climate change. However, limited staff and budgets mean they're not moving fast enough. We believe AI can help by reducing costs and expanding cities' capacity to get things done.\n\n## **Our Ask**\n\nIf you work on transportation in a city government, transit agency, or DOT, we’d love to connect to potential customers or advisors! You can reach us at [contact@waypointtransit.com](https://mailto:contact@waypointtransit.com).\n\n![uploaded image](/media/?type=post&id=87795&key=user_uploads/846930/235b5029-d63b-4cff-a8f8-f5fe15ba9052)\n\n_Varun and Ryan are Stanford engineering grads who previously worked on AI at Microsoft and chip design at Apple._", "url": "https://www.ycombinator.com/launches/Mq3-waypoint-transit-the-ai-city-planner", "votes": 76, "created_at": "2025-02-19T15:07:18.492Z" } ] }, { "id": 30282, "name": "Riviera", "slug": "riviera", "former_names": [ "With Riviera" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/790dbe46b89475fab7c527c1403f9dcbd5c92c33.png", "website": "https://www.withriviera.com", "all_locations": "San Francisco, CA, USA", "long_description": "Riviera builds AI Employees for Hotels. Our first agent is a hotel phone receptionist that lets hotels spend less time answering phone calls and more time helping customers. Our system handles front-desk inquiries, in-room dining orders, and reservations. It answers every question instantly and in any language, 24/7.\r\n\r\nWe are solving a problem that older phone systems and IVRs can't: customers hate not being able to talk to someone immediately, but most travel businesses can’t dedicate additional staff to manage phone lines. Voice AI has always seemed out of reach because the technology infrastructure in the travel industry is often fragmented, with reservation systems, loyalty programs, and in-house operations software that weren’t designed with voice AI in mind. Riviera addresses this by integrating seamlessly with existing software providers and using human-sounding voice models that are highly trained on data specific to each business type and department.\r\n\r\nHotels spend hundreds of billions annually on staffing and risk losing potential revenue when phone lines are overwhelmed or callers hang up. By enabling them to handle unlimited calls, day or night, Riviera unlocks additional revenue and eases labor challenges.\r\n", "one_liner": "AI Employees for Hotels", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1737322900, "tags": [ "SaaS", "B2B", "Travel", "Analytics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "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/riviera", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/riviera.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/withriviera", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/790dbe46b89475fab7c527c1403f9dcbd5c92c33.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": 683820, "full_name": "Shaun Lane", "title": "Founder/CEO", "founder_bio": "Co-Founder and CEO at Riviera | UC Berkeley CS | Amazon Software Engineering Intern, previously ran a Travel Consulting/Content Creation Business", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shaun--lane/", "x_url": "https://x.com/Shaun_Lane_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/88eaac7b2eb9e2ce07cc1a87f3f9cd7e602ee24e.jpg" }, { "user_id": 1069552, "full_name": "Daniel Tyshler", "title": "Founder/COO", "founder_bio": "Co-Founder and COO at Riviera | Stanford CS | SpaceX Software Engineering Intern, software and product intern at startups in aerospace and health-tech", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/daniel-tyshler-b742b217a/", "x_url": "https://x.com/danieltyshler", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8c80e8bafa64f9b843491e4748bb6d13f59ac94e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87705, "title": "Riviera: Multilingual AI Voice Agents For Hotels", "tagline": "Riviera lets hotels reduce staffing costs and improve the guest experience", "body": "**TL;DR**\\\nHotel guests hate not being able to talk to someone immediately, but hotels can’t afford more staff just to answer the phones. Riviera solves this with AI voice agents that provide 24/7 phone agents that speak any major language: answering guest questions, ordering room service, making reservations, and redirecting calls as needed.\n\n---\n\n### **The Problem**\n\nHotels spend over 100 billion dollars per year on staffing. Front-desk staff spend valuable time on phones instead of handling high-touch guest services. Meanwhile, guests frustrated by long waits or old IVR menus often hang up, leading to lost revenue and poor reviews.\n\n### **Our Solution**\n\nRiviera’s AI voice agents manage unlimited calls instantly. We integrate with property management systems, reservations, and ticketing software so guests can:\n\n* **Get quick answers** **about hotel services and policies**\n* **Order in-room dining and other amenities**\n* **Check availability and make reservations**\n\nRiviera has a human-sounding voice model trained on each hotel’s unique data to understand it better than any staff member ever could.\\\n\\\n\\\n\\*\\*Want to see a live demo or talk pilots?\\*\\*\\\n\\\nYou can schedule a demo by visiting [**withriviera.com**](http://withriviera.com). Feel free to email me directly at [**shaun@withriviera.com**](mailto:shaun@withriviera.com).\n\n![uploaded image](/media/?type=post&id=87705&key=user_uploads/683820/c11e9839-f110-4546-902f-907840b8d6f4)\n\n![uploaded image](/media/?type=post&id=87705&key=user_uploads/683820/7e4c67a5-facf-41b1-9595-1605bcffdf14)\n\n", "url": "https://www.ycombinator.com/launches/Mob-riviera-multilingual-ai-voice-agents-for-hotels", "votes": 29, "created_at": "2025-02-14T23:57:29.263Z" } ] }, { "id": 30283, "name": "Confident AI", "slug": "confident-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2e739bf439400b44a89bc15e023cbe6bca3f9e00.png", "website": "https://confident-ai.com", "all_locations": "San Francisco, CA, USA", "long_description": "Confident AI provides enterprises an all-in-one platform to evaluate, observe, red team, and govern AI applications. Built by the creators of DeepEval (16k stars, 8m monthly downloads), Confident AI is able to offer battle-tested, open-source evaluation algorithms while providing the infrastructure needed for teams to stay confident their AI systems.", "one_liner": "The LLM Eval and Observability Platform for AI Quality", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1736794966, "tags": [ "Developer Tools", "Generative AI", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/confident-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/confident-ai.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/confident-ai", "x_url": "https://x.com/confident_ai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/confident-ai/deepeval", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2e739bf439400b44a89bc15e023cbe6bca3f9e00.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": 1314014, "full_name": "Jeffrey Ip", "title": "Founder/CEO", "founder_bio": "Creator of DeepEval, the open-source LLM evaluation framework. and grew it to over 400k monthly downloads and counting. Previously SWE @ Google, Microsoft.", "is_active": true, "linkedin_url": "https://linkedin.com/in/jeffrey-ip-2295ab224", "x_url": "https://x.com/jeffr_yyy", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8ebbb4be68c177694d10afab9a9ef224ad160036.jpg" }, { "user_id": 1993540, "full_name": "Kritin Vongthongsri", "title": "Founder/CTO", "founder_bio": "Building the #1 LLM Evaluation Platform & empowering teams to red-team and safeguard LLM apps. AI Researcher and CHI-published author, previously built NLP pipelines for fintech startup and researched self-driving cars/HCI during @ Princeton (ORFE'24 + CS).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kritin-vongthongsri", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3211bc4802ea47f7483a20fb06d69679c2eb7c1c.jpg" } ], "jobs": [ { "id": 92377, "title": "Founding Developer Advocate", "url": "https://www.ycombinator.com/companies/confident-ai/jobs/e1asnlT-founding-developer-advocate", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$140 - $200", "equity_range": "0.50% - 1.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 96407, "title": "Founding Product Engineer (Frontend)", "url": "https://www.ycombinator.com/companies/confident-ai/jobs/pltgckw-founding-product-engineer-frontend", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$175 - $250", "equity_range": "0.50% - 1.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 97390, "title": "Founding GTM", "url": "https://www.ycombinator.com/companies/confident-ai/jobs/PETCNJ8-founding-gtm", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$150K - $200K", "equity_range": "1.00% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 98824, "title": "Founding Open Source Growth Engineer", "url": "https://www.ycombinator.com/companies/confident-ai/jobs/mgnw9YM-founding-open-source-growth-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$140 - $200", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 87657, "title": "Confident AI: The Evals Platform for AI Quality & Observability", "tagline": "An evaluation platform for engineers, QAs, and PMs to pinpoint which iteration of their AI to put in production.", "body": "**TL;DR – Confident AI is a cloud-based evaluation platform to help teams build reliable AI products. Its evals are powered by DeepEval - an open-source LLM evaluation framework, which has over 12k stars, 3million monthly downloads, runs 2million evals per day, and is most commonly found in CI/CD pipelines of enterprises such as BCG, Astrazeneca, AXA, Microsoft.** \n\n**Confident AI allows engineering teams to iterate on their LLM app x10 faster by bringing best-in-class evals to traditional AI observability.**\n\n[Try Confident AI today (setup in 5 min)](https://docs.confident-ai.com/confident-ai/confident-ai-introduction)\n\n![uploaded image](/media/?type=post&id=87657&key=user_uploads/1314014/fc01311e-e55b-4632-8256-75115c04f3f5)\n\n### **The Problem**\n\nDespite LLM evaluation being a problem with many solutions on the market, it remains unsolved. General LLMOps observability platforms that offer evals lack robust metrics and are more suited for debugging through tracing UIs, while evaluation-focused frameworks don’t offer enough control for users to customize and make metrics reliable for specific use cases.\n\nAs a result, developers often build custom evaluation metrics and pipelines from scratch—writing hundreds or even thousands of lines of code to test their LLM apps. The worst part? Once they’ve fine-tuned their metrics and are ready to deploy them across the organization, they hit a roadblock: there’s no easy way to collaborate. Because these custom metrics exist in scattered code rather than an integrated ecosystem, incorporating them to enable team-wide adoption becomes frustrating and inefficient.\n\n### **The Solution**\n\nWe built DeepEval for engineers to create **use-case-specific, deterministic** LLM evaluation metrics, and when you're ready, Confident AI brings these evaluation results to the cloud for collaboration. This allows teams to collaborate on LLM app iteration — with no extra setup required.\n\n1. Curate your evaluation dataset on Confident AI.\n2. Run evaluations locally with DeepEval's metrics, pulling datasets from Confident AI.\n3. View and share testing reports to compare prompts and models and refine your LLM application.\n\nConfident AI continuously evaluates monitored LLM outputs for production, automatically enriching your dataset with real-world, adversarial test cases. This keeps your evaluation data high-quality and reflective of your use case.\n\n\n\n### **How are we different?**\n\nWhat we've learned is in order to get legitimate evaluation results required for benchmark-driven iteration, you need extremely high-quality metrics and datasets. That's why we've built specifically for the ideal LLM evaluation workflow:\n\n* **DeepEval** handles robust, deterministic metrics required for rigorous, use-case-tailored validation.\n* **Confident AI** provides both technical and non-technical teams the ability to collaborate on pre and post-deployment evals and observability.\n\n> If your evaluation results are 100% reflective of your LLM application's performance, what's stopping you from shipping the best version of your LLM app?\n\n### **Customer ROI metrics**\n\nWe've been working with companies of all sizes, and some of the ROI metrics include:\n\n* Decreasing LLM cost by **more than 70%** through evaluation to safely switch away from GPT-4o to cheaper models.\n* Decreasing time to deployment for a team of 7 from **1-2 weeks to 2-3 hours**.\n* Helping a team of 30 customer support agents **save 200+ hours a week** by having a centralized place to analyze LLM performance live.\n\nThere's more to come as we start publishing some case studies on our website, so stay tuned!\n\n### **Our Ask**\n\nThanks for sticking with us to the end! We’re on a mission to help companies get the most ROI out of their LLM use cases, and we believe this is only achievable through rigorous LLM evaluation at scale. If our mission resonates with you, Confident AI is always here and available to try immediately (coding required, but free to try): \n\nIf you want to explore our enterprise offering, you can always [talk to us here.](https://calendly.com/d/cqbp-t88-y4j/confident-ai-intro-call)\n\n### **About Us**\n\nConfident AI is founded by **Jeffrey Ip**, a SWE formally at Google scaling YouTube's creators studio infrastructure, and Microsoft building document recommenders for Office 365, and **Kritin Vongthongsri**, an AI researcher and CHI-published author, who previously built NLP pipelines for fintech startups and researched self-driving cars/HCI during his time at Princeton, where he studied ORFE and CS.", "url": "https://www.ycombinator.com/launches/Mnp-confident-ai-the-evals-platform-for-ai-quality-observability", "votes": 375, "created_at": "2025-02-13T17:44:57.361Z" } ] }, { "id": 30284, "name": "Exla", "slug": "exla", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/94cd00784e37842fc455ee2fd7b22d487b0693cf.png", "website": "https://exla.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Exla is your 24/7 AI SRE agent. It reads your production logs, traces, and deploys, and holds full context on your codebase. It establishes a live baseline of normal behavior, so when something silently regresses, it catches the deviation immediately, pins it to the exact commit that caused it, and opens a fix PR. No paging a human at 3am, no digging through dashboards to find what changed.\r\n\r\nhttps://cal.com/exla-ai/schedule", "one_liner": "Building agents that reads logs and fixes issues on your behalf.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1740012412, "tags": [ "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 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/exla", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/exla.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/exla-corp", "x_url": "https://x.com/exla_ai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/exla-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/94cd00784e37842fc455ee2fd7b22d487b0693cf.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": 956313, "full_name": "Viraat Das", "title": "Founder/CEO", "founder_bio": "CEO @ Exla. Previously machine learning engineer @ Amazon.", "is_active": true, "linkedin_url": "https://linkedin.com/in/viraatdas", "x_url": "https://x.com/therealviraat", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9056f9785492560382fac9defa19f98d3b453cc6.jpg" }, { "user_id": 2212412, "full_name": "Pranav Nair", "title": "Founder/CTO", "founder_bio": "CTO at Exla. Previously an OS engineer at Apple leading sleep/hibernation for all Apple devices.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pranavnair311/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/45b540ae3ca67482fd629d374168e25e3e74bb7a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 88090, "title": "Exla – Run datacenter models on edge devices", "tagline": "Optimize models to run on edge devices (e.g. Jetsons) with 3-20x faster inference and 80% less memory requirements", "body": "Hey YC! We’re Viraat and Pranav – cofounders of Exla.\n\n![uploaded image](/media/?type=post&id=88090&key=user_uploads/2212412/6f2a4f23-207a-4ba8-84dd-1be1039c46f7)\n\n# **TL;DR**\n\nThe Exla SDK optimizes models for edge devices (e.g. NVIDIA Jetsons), **cutting memory usage by up to 80%, with 3-20x faster inference**. We’re focusing on optimizing and deploying **LLMs, VLMs, VLAs, and other CV models** on the edge.\\\n[Here’s Viraat showcasing our SDK](https://www.loom.com/share/d8fbb4faef87493c9806610fff6ff86c?sid=10b54831-159b-4157-95b7-8b9f7a5c8d8e)\n\n# **‼️ The Problem**\n\n**Frontier models are unlocking new applications on constrained edge devices** – Vision-Language Models in manufacturing defect detection, Vision-Language-Action Models to control robots via natural language, and LLMs to power in-car assistants are a few examples.\n\n**But these** **models are now shy of a _trillion_ parameters**, and with the emergence of inference-time scaling, **they are more computationally demanding than ever**. This limits their adoption to edge devices with beefy GPUs and sufficiently large VRAM, and even then, a Jetson Orin Nano Super is completely saturated attempting to run a 13B model, leaving little room for other tasks.\n\n# **🏎️ The Solution: The Exla SDK**\n\n**We’re building mixed-precision low-bit quantization software** to dramatically cut the compute footprint of these models, leading to **80% less memory usage, 3-20x faster inference**, and reduced energy consumption.\n\n**Today we’re starting with the Exla SDK** which applies our optimizations to a catalog of transformer-based and CV models, with growing support for your custom models. We’re primarily targeting deployment on NVIDIA Jetsons, followed by CPU-based platforms like Raspberry Pis and other embedded platforms.\n\n![uploaded image](/media/?type=post&id=88090&key=user_uploads/2212412/68c46641-ffb9-4dc9-a0a0-8facdba4e132)\n\nOur roadmap includes building custom silicon that takes advantage of the quirks of low bit compute – which we expect to bring in another order of magnitude in compute savings. _We’re bringing frontier models everywhere._\n\n# **🥷 The Team**\n\nWe met each other on the first day of college under questionable circumstances and have built several projects together since. Exla is the latest in that series!\n\n[Viraat](https://www.linkedin.com/in/viraatdas/) graduated in 2.5 years and joined Amazon as machine learning engineer, where he worked on building personalized search and infrastructure to optimize models. In a previous life, he used to marathon around the world. Now he marathons at home, coding.\n\n[Pranav](https://www.linkedin.com/in/pranavnair311/) previously worked at Apple as an OS engineer, hacking the iOS/macOS kernel to improve the sleep/wake experience for over a billion devices. In his non-existent free time, he tends to his 5 year old baby – an operating system he’s built from scratch.\n\n# **🙏 Our Ask!**\n\nPlease reach out to [**founders@exla.ai**](mailto:founders@exla.ai) if you’re facing issues optimizing your models on Jetsons, other edge devices, or on-prem deployments! We’re happy to onboard you to our private beta.\n\nWe’re particularly looking to solve model optimization at companies working on robotics, manufacturing & industrial automation, and camera-based systems – your help would make a world of difference <3", "url": "https://www.ycombinator.com/launches/Muo-exla-run-datacenter-models-on-edge-devices", "votes": 27, "created_at": "2025-02-27T01:55:49.203Z" } ] }, { "id": 30285, "name": "Karsa", "slug": "karsa", "former_names": [ "Agency" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4e70eb9dc2e6d81269e32986a94420bc07247202.png", "website": "https://gokarsa.com/", "all_locations": "New York City, NY, USA", "long_description": "Karsa is a stablecoin neobank for over 100M people in emerging markets. We enable people to buy dollar-denominated stablecoins, save money in US bank accounts, and spend anywhere with a Visa card.", "one_liner": "Stablecoin neobank for emerging markets", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1737358426, "tags": [ "Fintech", "Emerging Markets", "Cryptocurrency" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "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/karsa", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/karsa.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/karsa/", "x_url": "https://twitter.com/go_karsa", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4e70eb9dc2e6d81269e32986a94420bc07247202.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": 1110862, "full_name": "Shahryar Hasnani", "title": "Founder/CEO", "founder_bio": "Enabling the 1B+ people in emerging markets to save in stablecoins and protect against currency instability. Previously head of BD at Ethereum infrastructure startup. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shahryar-hasnani/", "x_url": "https://x.com/0xLilShah", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/51c1797e56fb26c41054c7edcac21c003ab3430a.jpg" }, { "user_id": 951402, "full_name": "Dale Wilson", "title": "Founder/CTO", "founder_bio": "Enabling the 1B+ people in emerging markets to save in stablecoins and protect against currency instability. Previously protocol development lead at a layer 1 AI Blockchain.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dalewilson21/", "x_url": "https://x.com/0xdwil", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/24f58a7f8d633bc89787206c02838a7bd257977b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87203, "title": "Karsa 💸 - The Global Dollar Account", "tagline": "Save in stablecoins; protect against inflation in emerging markets", "body": "Hey YC, we’re Shahryar and Dale, the co-founders of Karsa!\n\n# **tl;dr:**\n\n**Karsa is a global dollar account—enabling anyone in emerging markets to buy and save in stablecoins to protect against currency instability.**\n\n# **The Problem**\n\n_Over a billion people live in countries with severe inflation (5-10%+) and are unable to protect their wealth due to strict capital controls_ (Shahryar’s family in Pakistan still acutely faces this problem). The traditional banking systems in most of these countries are systematically designed to prevent access to assets like dollars.\n\nWe’ve spent the majority of our careers in crypto, traveling everywhere from the Middle East to Southeast Asia for work—and we observed how people in regions with economic instability have begun to adopt stablecoins as a store of value. However, existing products—typically peer-to-peer crypto exchanges—are centered on traders and are still too complex for average users, hindering mass-market adoption.\n\n# **Our Solution**\n\n\n\nKarsa is a global digital wallet that makes it easy for anyone across the world to deposit money using local payment methods and save in dollar-denominated stablecoins.\n\nFor a user, it looks similar to a bank—but under the hood, we route our supply from a network of verified peer-to-peer stablecoin traders, whom buyers are making their deposit payments to.\n\n* Structuring it as peer-to-peer allows us to _actually_ be global from day one and circumvent government interference: in most of these markets, centralized products (i.e., requiring a bank account in the relevant country) often get shut down. _This means that in many of the regions we operate in, we’re the only way anyone can reasonably get access to stablecoins._\n* Unlike incumbent exchanges, however, we’ve entirely abstracted the ‘P2P’. Traditionally, buyers and sellers engage in chats for each transaction (to confirm details, etc.). This is onerous for sellers, and off-putting for new buyers. Instead, we sit in the middle, matching price orders and managing verification, appeals, etc. with sellers directly—much less work for sellers, and an incredibly simple process for buyers.\n* We’ve also abstracted everything _crypto_ about it—no crypto knowledge, wallet / key management, etc. needed, so that even your parents could use the platform.\n* User funds are held in self-custody crypto wallets, meaning your money is always yours—unlike a centralized exchange (e.g., FTX) there’s no way for us to access, freeze, or lose your funds.\n\n# **Team**\n\n![uploaded image](/media/?type=post&id=87203&key=user_uploads/1110862/dbb9d996-6d96-4caf-9820-899438b2748d)\n\nShahryar and Dale have been working in the crypto space for the majority of their careers (leading business development and protocol engineering, respectively). We’ve lived and worked across the world in the same regions that we want to provide our product to—we deeply understand the tech, the market, and how stablecoins can best be leveraged to create more financial freedom.\n\nWe’ve been close friends for years, joined the industry at similar times (Shahryar actually got Dale to FOMO in), and we now work together out of Dale’s kitchen in New York. \n\n# **Asks**\n\nWe’re already going live today with sellers in Pakistan, India, Nigeria, Kenya, Paraguay and setting up a couple other regions as we speak. If you know or work with anyone in South Asia, Africa, Southeast Asia, or the Middle East—whether they’re a contract worker, freelancer, developer, crypto trader, SMB owner, or just family/friends who would be interested in saving with Karsa or working with us as a stablecoin supplier—please don’t hesitate to connect us at [**shahryar@gokarsa.com**](mailto:shahryar@gokarsa.com). Folks with these profiles have been incredibly helpful in getting feedback and suggesting future product features.", "url": "https://www.ycombinator.com/launches/MgV-karsa-the-global-dollar-account", "votes": 59, "created_at": "2025-01-27T18:32:54.258Z" } ] }, { "id": 30286, "name": "Nitrode", "slug": "nitrode", "former_names": [ "Roach AI", "Inception Technologies" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/514545bed169ad1eb626571d7e0d77375b33f656.png", "website": "https://www.nitrode.com", "all_locations": "San Francisco, CA, USA", "long_description": "Nitrode is a research company focused on improving game development with AI. To advance game development, we believe AI models firstly need to be judged against robust evaluation frameworks that reflect the actual complexity of the field.\r\n", "one_liner": "Frontier AI research to advance game development", "team_size": 8, "industry": "B2B", "subindustry": "B2B", "launched_at": 1738144366, "tags": [ "Machine Learning", "B2B", "Data Engineering", "AI" ], "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/nitrode", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/nitrode.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/nitrode", "x_url": "https://x.com/NitrodeResearch", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/514545bed169ad1eb626571d7e0d77375b33f656.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1654263, "full_name": "Ben Kim", "title": "Founder/CEO", "founder_bio": "Co-founder at Nitrode. InfoSci @ Cornell. Previously @Supercell AI Lab, and @WSGR", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ben-yoonsung-kim/", "x_url": "https://x.com/ysungkim_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a5878f4fe3ac86da75a818f47a588a531d134b4b.jpg" }, { "user_id": 1654842, "full_name": "Sejoon Chang", "title": "Founder/COO", "founder_bio": "Co-founder at Nitrode. CS & Product Design @ Stanford. Top 500 GeoGuessr globally in moving and builder of unnecessarily ambitious Minecraft cities.", "is_active": true, "linkedin_url": "https://linkedin.com/in/sejoonchang", "x_url": "https://x.com/sejoonchang", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d96b7380c521c01891b3d1b496f8b4a1347e2fc2.jpg" }, { "user_id": 1654330, "full_name": "Brian La", "title": "Founder/CTO", "founder_bio": "Co-founder at Nitrode. CS @ Cornell. Previously Data Scientist @ Nexon", "is_active": true, "linkedin_url": "https://linkedin.com/in/brianyla", "x_url": "https://x.com/BrianLa0616", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6d63c684f51d17016bfd7ad010bb0b3fb1face7d.jpg" } ], "jobs": [ { "id": 98321, "title": "Member of Technical Staff (Post-Training) ", "url": "https://www.ycombinator.com/companies/nitrode/jobs/flMnYGU-member-of-technical-staff-post-training", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Data science", "salary_range": "$150K - $350K", "equity_range": "1.00% - 3.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "C++", "Python", "Distributed Systems", "Reinforcement learning (RL)", "Natural Language Processing", "CUDA", "Data Analytics" ] }, { "id": 98322, "title": "Member of Technical Staff (Evals)", "url": "https://www.ycombinator.com/companies/nitrode/jobs/BrIHVMH-member-of-technical-staff-evals", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Data science", "salary_range": "$120K - $250K", "equity_range": "1.00% - 3.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "C++", "Java", "Python", "Torch/PyTorch", "Machine Learning", "Reinforcement learning (RL)" ] }, { "id": 98323, "title": "Full-Stack Engineer", "url": "https://www.ycombinator.com/companies/nitrode/jobs/Hpc1xDj-full-stack-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$110K - $160K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "C++", "Java", "JavaScript", "Python" ] }, { "id": 110036, "title": "Game Developer ", "url": "https://www.ycombinator.com/companies/nitrode/jobs/KZbQlmq-game-developer", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$95K - $145K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Unreal Engine", "Unity", "Blender" ] } ], "news": [], "launches": [ { "id": 104921, "title": "Nitrode - Advancing AI for Game Development", "tagline": "Advancing game development through frontier AI research.", "body": "Hey YC,\n\nWe’re Ben, Brian, and Sejoon from **Nitrode.**\n\nNitrode is a research company focused on improving game development with AI. \n\n**The Problem - How do we advance game development with AI?**\n\nWe started by building an AI game engine. It got to [**#3 on Product Hunt**,](https://www.producthunt.com/products/nitrode-ai-game-engine) and we gained several useful insights:  despite recent progress in agentic coding, game development remains uniquely difficult for AI models because it requires **(1) strong spatial reasoning**, **(2) reliable tool use/tool-calling**, **(3) strong agentic coding capabilities** and the **(4) ability to operate in real-time environments for complex games**.\n\n**The Solution** \n\nTo advance game development, we believe AI models firstly need to be judged against robust evaluation frameworks that reflect the **actual complexity of the field.** Over the coming months, Nitrode will open-source a suite of benchmarks designed to measure where AI models truly stand in game development. Our first benchmark, [**GameEngineBench**,](https://arxiv.org/abs/2607.03525) evaluates agentic coding performance on C++ game engine tasks in real runtime environments.\n\n![uploaded image](/media/?type=post&id=104921&key=user_uploads/1654263/a084ce2c-86d5-431b-97a1-d2ccf07b3f04)\n\nOur results are clear: model class and reasoning effort are strong predictors of performance, while model rankings align more closely with spatial reasoning benchmarks than with traditional agentic coding benchmarks. **This suggests that game development is fundamentally different from pure coding.** Success requires not only writing correct code, but also understanding space, tools, runtime behavior, and the interaction between systems.\n\nWe also observe significant complementarity across frontier models, indicating that different models exhibit distinct strengths within the game development task space. Mythos/Fable-class models point toward a potential step change in AI game development capability, where improved spatial understanding and stronger tool use combine to produce emergent behaviors that older model generations struggle to match.\n\nOur benchmark has revealed clear model-specific performance gaps across game development tasks, with outcomes that diverge meaningfully from standard agentic coding benchmarks.\n\nWe are also building [Mint](http://mint.nitrode.com), a platform that onboards game development experts to work on custom datasets. Think engine programmers, technical artists, and developers with years of enterprise/indie game development experience. We already have hundreds of contributors across game development and creative software. Whenever you need a certain type of data, we construct and lead a team to produce:\n\n* Post-training /SFT data captured from real workflows: how developers actually build, debug, test, and iterate inside engines and creative tools.\n* RL environments and executable tasks where models learn through execution and feedback.\n* Custom benchmarks and post-training for gaming enterprises: we pinpoint where models fail on real game development tasks, then post-train a custom model to close those gaps.\n\n**Team** \n\nBen and Brian studied Information Science and Computer Science at Cornell, while Sejoon studied Computer Science and Product Design at Stanford. The trio has been building things together for the last six years, from a sports team analytics tool to Nitrode, and are, unsurprisingly, massive gaming nerds. Sejoon is top 400 in the world at moving GeoGuessr and a certified Civ sweat, Brian is ranked in Tetris, and Ben used to be ranked in Minecraft speedrunning.\n\n**Our Ask:**\n\n1. If you need custom datasets or evals, let us know! Email us [research@nitrode.com](mailto:research@nitrode.com)\n2. Are there any creative or gaming companies you could introduce us to?\n\n**Thank you!**", "url": "https://www.ycombinator.com/launches/RIH-nitrode-advancing-ai-for-game-development", "votes": 10, "created_at": "2026-07-07T15:17:58.603Z" } ] }, { "id": 30287, "name": "Calltree", "slug": "calltree", "former_names": [ "Scotty AI", "Calltree AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e2ad0fe64b625227762a6c6a44c1872475df287d.png", "website": "https://calltree.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Calltree makes enterprise-grade AI support reps for call centers. Our AI reps take voice calls and chats like other AI support agents but can also use internal enterprise tools like a homegrown CRM or internal dashboards, like the highly trained humans working there today.", "one_liner": "Enterprise-grade AI support reps for call centers", "team_size": 14, "industry": "B2B", "subindustry": "B2B", "launched_at": 1738270018, "tags": [ "Generative AI", "SaaS", "B2B", "Customer Service", "AI" ], "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/calltree", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/calltree.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/calltree-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e2ad0fe64b625227762a6c6a44c1872475df287d.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": 73858, "full_name": "Kun Qian", "title": "Founder/CEO", "founder_bio": "Kun, co-founder and CEO of Calltree AI, previously a product leader at AWS where he focused on contact center solutions. During his tenure, he built and scaled multiple product lines that achieved tens of millions in ARR. Drawing from deep insights into contact center operations and analytics, Kun co-founded Calltree AI to empower contact centers with the data-driven insights they need to optimize operations and reduce costs.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/qian-kun/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/735bebfe8244e66524a9e47ee24a1800e00d2a31.jpg" }, { "user_id": 818746, "full_name": "Robertson Taylor", "title": "Founder/CRO", "founder_bio": "Worked on applied multimodal AI with large enterprises at Marqo. Worked on ML for high cardinality anomaly detection that was deployed into fortune 100 companies and banks while at AWS. Led platform teams at Hopper. Georgia Tech CS grad, worked on HPC research.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/robertsonotaylor/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/313949bd6392817fcb06c69c12bace2133903ad2.jpg" } ], "jobs": [ { "id": 88609, "title": "AI Operations Analyst", "url": "https://www.ycombinator.com/companies/calltree/jobs/qNST1yz-ai-operations-analyst", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$70K - $100K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 87336, "title": "Calltree - AI Agent That Optimizes Enterprise Call Center Workflows", "tagline": "AI operations analyst for enterprise call center workflows", "body": "TLDR: Cutting just 1 second off each customer call can save enterprise call centers millions of dollars. Calltree helps enterprises' VP of Operations understand how to make their call center more efficient. Our AI agent analyzes millions of minutes of call center recordings to find inefficiencies in workflows and quantifies the cost of each action. For example, when a rep is handling a credit card dispute, Calltree can identify that reps spend 30 seconds per call on manual data gathering and data entry, propose a solution, and measure the opex savings. Calltree surfaces these insights in an analytics tool and generates reports, making it easy for operation leaders to build business cases to prioritize improvements, realizing millions in opex savings.\n\nAsk: If cutting every second matters to your call center, please email us [kun@calltree.ai](mailto:kun@calltree.ai) and [rob@calltree.ai](mailto:rob@calltree.ai) or [book a demo here.](https://calendly.com/kun-calltree/30min) \n\n[Checkout our launch video!](https://youtu.be/v-9hFgH_gCI)\n\n**The Problem**\n\nLarge enterprises track every second of a phone call because **reducing average call time** can save millions of dollars each year. However, enterprises don't have a scalable way to find these inefficiencies. Manual time studies (in person shadowing call center reps, etc.) are tedious, unscalable, and expensive. \n\n**What Are Screen Recordings?**\n\nMany contact centers don’t just record the audio of customer calls; they also capture **everything the rep does on their screen** for training, compliance, and quality assurance. **Less than 1% of these screen recordings** are ever reviewed by a manager or analyst and **miss 99% of calls**. This leads to blind spots and missed opportunities for massive cost savings.\n\n**Our Solution**\n\n* **AI agent that finds workflow inefficiencies** (e.g., toggling between multiple systems to complete a single task).\n* **Quantify the time and cost** of each action (e.g., “Switching between these five legacy apps costs 20 seconds per call → $5M/year”).\n* **Operation leaders use these insights** to build quick business cases to fix inefficiencies. After changes are implemented, Calltree measures the impact pre- and post-fix to **prove cost reductions**.\n\n**Our team**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdf17k-TMCzITHR-cAuUjxmf1XRQMpsQRvVeVslxQKILE2Jv6xHq2NSXtJWSM1WyEDXZBON4FJ1U7A77AKzZt7VvkUe7HGq8ozwJT3lf8O4nUgM8CwHtfhZ60iIsEanYT077wTjFA?key=5B91WL3MPEXhLdY8htNQCHC6)\n\n* **Kun** led product at AWS’ contact center solution, working with hundreds of large enterprises such as Capital One, Intuit, and Adobe.\n* **Rob** specializes in multimodal search for video and audio, previously helped companies like Walmart and Etsy fine tune embedding models.\n* After seeing how **little** of these screen recordings ever got analyzed—despite their huge potential value—we decided to automate that process end-to-end.\n\n**Our Ask**\n\n* Follow us on [LinkedIn](https://www.linkedin.com/company/calltree-ai), and [book a demo](https://calendly.com/kun-calltree/30min) with our team.\n* Share this post! -  Do you know anyone in your network who is a VP of Operations, VP of call center operations, VP of Contact Center? Please share this post (or our demo video below!)\n* Learn more at [calltree.ai](https://calltree.ai)", "url": "https://www.ycombinator.com/launches/Mie-calltree-ai-agent-that-optimizes-enterprise-call-center-workflows", "votes": 23, "created_at": "2025-01-31T19:55:57.857Z" } ] }, { "id": 30288, "name": "Harper", "slug": "harper", "former_names": [ "Tatch" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/48f09dfa8b59f8e987b3a43c44b0adcd865fe145.png", "website": "https://www.harperinsure.com/", "all_locations": "San Francisco, CA, USA", "long_description": "At Harper, we are building a fully autonomous commercial insurance brokerage powered by AI. Our initial focus is on mid-sized businesses with complex insurance needs, but our vision is to eventually serve every business in the country.\r\n\r\nBy leveraging AI to automate key workflows in the insurance process, we efficiently secure optimal coverage for each client's unique requirements at competitive prices and with rapid turnaround. Our AI system learns from the expertise of our brokers, accumulating not just knowledge but also the specific workflows, data, and capabilities that pave the way to full autonomy.", "one_liner": "AI-native commercial insurance brokerage", "team_size": 25, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1735235398, "tags": [ "Fintech", "Insurance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Fintech", "Insurance" ], "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/harper", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/harper.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/48f09dfa8b59f8e987b3a43c44b0adcd865fe145.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": 1653612, "full_name": "Dakotah Rice", "title": "Founder/CEO", "founder_bio": "CEO @ Harper (W25) Building an AI-native commercial insurance brokerage. prev: Goldman, Carlyle, Coatue, Poolit. Brown '12, HBS dropout '21", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dakotahrice/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0b71e86ac9349e856eb1d62d5a2c82b3768590ec.jpg" }, { "user_id": 1654704, "full_name": "Tushar Nair", "title": "Founder/CTO", "founder_bio": "CTO @ Harper (W25) prev: Goldman, Poolit. Building an AI native commercial insurance brokerage.", "is_active": true, "linkedin_url": "https://linkedin.com/in/tushar-nair-100787144", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e6c9b5553bf3c892875084b67245a446139a7f11.jpg" } ], "jobs": [ { "id": 85467, "title": "Senior Member of Technical Staff", "url": "https://www.ycombinator.com/companies/harper/jobs/TszfBKi-senior-member-of-technical-staff", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$160K - $230K", "equity_range": "0.01% - 0.20%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 88186, "title": "Senior Operations Lead", "url": "https://www.ycombinator.com/companies/harper/jobs/KxUUfX3-senior-operations-lead", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$180K - $220K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 88190, "title": "Future AI Founder", "url": "https://www.ycombinator.com/companies/harper/jobs/sgnMdwY-future-ai-founder", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $140K", "equity_range": "0.01% - 0.20%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 88191, "title": "Senior Member of Technical Staff, Voice", "url": "https://www.ycombinator.com/companies/harper/jobs/j3AYc4c-senior-member-of-technical-staff-voice", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$170K - $275K", "equity_range": "0.10% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 88192, "title": "GTM Engineer", "url": "https://www.ycombinator.com/companies/harper/jobs/pDx68zo-gtm-engineer", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $190K", "equity_range": "0.05% - 0.25%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 88193, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/harper/jobs/Hr7rRca-forward-deployed-engineer", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $200K", "equity_range": "0.05% - 0.25%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 88194, "title": "Member of Technical Staff", "url": "https://www.ycombinator.com/companies/harper/jobs/df0E48G-member-of-technical-staff", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$140K - $200K", "equity_range": "0.01% - 0.20%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 88548, "title": "Founding Account Executive", "url": "https://www.ycombinator.com/companies/harper/jobs/xzF5Pja-founding-account-executive", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$75K - $125K", "equity_range": "0.01% - 0.10%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 88580, "title": "Recruiting Lead", "url": "https://www.ycombinator.com/companies/harper/jobs/9E6dwaG-recruiting-lead", "location": "San Francisco", "type": "Full-time", "role": "Recruiting & HR", "role_type": "Recruiter", "salary_range": "$125K - 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It’s [Tushar](https://www.linkedin.com/in/tushar-nair-100787144) and [Dakotah](https://www.linkedin.com/in/dakotahrice), and we're building Harper, an AI-powered commercial insurance brokerage transforming how businesses get the coverage they need. Since acquiring our first customers in October, we’ve already grown to write over $6M in annualized premiums across 35 states.\n\n### The Problem\n\nCommercial insurance is drowning in operational inefficiency:\n\n* Manual processes that limit broker productivity\n* Complex, redundant applications\n* Information asymmetry and limited market access\n\nThese antiquated systems create terrible customer experiences and prevent traditional brokerages from scaling.\n\n### Our Solution\n\nWe built an insurance brokerage with a suite of AI solutions that we use internally to enhance our sales, operational, and service interactions. Harper Hub, our flagship tool can:\n\n* Complete forms automatically\n* Find optimal carriers and underwriters\n* Manage client communications seamlessly\n\nThis creates an [infinitely scalable brokerage](https://www.youtube.com/watch?v=KvD1NyGJq3k) that delivers superior service with significantly higher margins.\n\n### Our Vision\n\nAt Harper, we believe that every legacy professional services business will have an AI-Native counterpart that will operate more efficiently, generate more revenue, and grow faster than incumbents. We want to become the largest insurance brokerage in the world with the best NPS. 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He was also responsible for the Flight Termination System test and qualification program for the TM-1 rocket.\n\nRoss has deep expertise in complex manufacturing processes, assembly, test, and chemical propulsion development.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ross-doherty-992a2790", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a85ac49cf9e448f74a706db3c0ceae44b87fa431.jpg" } ], "jobs": [ { "id": 104927, "title": "Engine Responsible Engineer", "url": "https://www.ycombinator.com/companies/orbital-operations/jobs/rHvdiii-engine-responsible-engineer", "location": "Long Beach, California, United States", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$135K - $200K", "equity_range": "0.01% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 105078, "title": "Avionics Mechanical Engineer", "url": "https://www.ycombinator.com/companies/orbital-operations/jobs/I005eIJ-avionics-mechanical-engineer", "location": "Long Beach, California, United States", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$140K - $200K", "equity_range": "0.01% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 105079, "title": "Rockstar", "url": "https://www.ycombinator.com/companies/orbital-operations/jobs/xT71kYw-rockstar", "location": "Long Beach, California, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $175K", "equity_range": "0.01% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 105083, "title": "Structures Design Engineer", "url": "https://www.ycombinator.com/companies/orbital-operations/jobs/7KBv010-structures-design-engineer", "location": "Long Beach, California, United States", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$140K - $200K", "equity_range": "0.01% - 1.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 105084, "title": "Turbomachinery Mechanical Design Engineer", "url": "https://www.ycombinator.com/companies/orbital-operations/jobs/YeXl31B-turbomachinery-mechanical-design-engineer", "location": "Long Beach, California, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$110K - $200K", "equity_range": "0.01% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Orbital Operations raises seed round for orbital vehicle using liquid hydrogen fuel - SpaceNews", "url": "https://spacenews.com/orbital-operations-raises-seed-round-for-orbital-vehicle-using-liquid-hydrogen-fuel/", "date": "Aug 07, 2025" }, { "title": "Orbital Operations Raises $8.8M For High Thrust Orbital Vehicle - Payload", "url": "https://payloadspace.com/orbital-operations-raises-8-8m-for-high-thrust-orbital-vehicle/", "date": "Aug 07, 2025" } ], "launches": [ { "id": 87855, "title": "Orbital Operations – High Thrust, Reusable Vehicles in Space🚀", "tagline": "Orbital maneuvers in hours instead of months with cryogenic propulsion", "body": "### **The Problem**\n\n_“The Space Launch advances we have seen in this Third Space Age to date are just a Special Case in the Third Space Age of Mobility._\n\n_\\[Our capabilities\\] will evolve into a broader General Case of Responsiveness, Reusability, and Servicing/Logistics that will encompass the whole domain and enable **Dynamic Space Operations**.”_\n\n -       _Lt. General (Ret.) John Shaw, US Space Force_\n\nIn October 2021, China’s Shijan-21 was launched into Geosynchronous Transfer Orbit (GTO), where it docked with a navigation satellite, moved the asset beyond the typical graveyard orbit, and returned to Geosynchronous Earth Orbit (GEO). This capability far exceeds what the American space market has been able to achieve, and large providers are far behind schedule.\n\n**_Access to Space_**\n\nRecently, a mission was performed by the government to test how long it would take to put an emergency military asset into orbit. The acceleration effort led to the launch of a vehicle in 5 months. While this was faster than previous efforts, a lot can happen in 5 months, especially during times of unrest. The US Space Force needs a high-thrust, high-efficiency vehicle to perform dynamic space operations in hours to be able to protect our critical satellite infrastructure.\n\n**_In-Space Propulsion_**\n\nCurrent in-space propulsion systems rely on one of the following, both of which have significant downsides:\n\n* Storable propellants\n* Electric propulsion\n\nStorable propellants can only provide a few pounds of thrust (\\~3.75 lbf) and modest efficiency at 250 sec to 320 sec of specific impulse (Isp). Although the engines are simple and reliable, the performance is not adequate for responsive maneuvers. Meanwhile, electric propulsion boasts extremely high Isp (1300 sec), but the thrust is extremely low, coming in at less than 0.007 lbf.\n\n### **The Solution**\n\nTaking advantage of the decreasing costs of launch services and chemical propulsion development over the last 15+ years, Orbital Operations is building a high-thrust, reusable space vehicle that will be stationed in orbit to perform rapid dynamic space operations for the military, executing and finalizing orbital maneuvers in hours vs months. There are 3 key pieces of development:\n\n* The Cryo-Cooler\n* The Rocket Engine\n* The Vehicle\n\n**_The Cryo-Cooler (BOREAS)_**\n\nThe first milestone to unlock dynamic space operations is to develop a functioning cryogenic cooling system capable of storing high-efficiency propellants for an indefinite amount of time while in space. With a letter of support from NASA, we have access to the 15+ years of research and development they have put together on cryogenic fluid management and have the capabilities to commercialize the technology. Using a Reverse Brayton Cycle (RBC), turbomachinery, and advanced manufacturing techniques, we can develop a commercially viable 20 Kelvin cryocooler.\n\n![uploaded image](/media/?type=post&id=87855&key=user_uploads/2288560/eeb9f9e4-d674-458e-804a-f09ea4b7d42b)\n\n\n\n**_Rocket Engine_**\n\nOrbital Operations will develop an in-house chemical propulsion engine capable of >5000 lbs of thrust and a targeted Isp no less than 450 sec. We have been a part of multiple engine development campaigns from the beginning, ranging from 23,000 lbf (Aeon-1, Relativity) all the way to 550,000 lbf (BE-4, Blue Origin).\n\n![uploaded image](/media/?type=post&id=87855&key=user_uploads/2288560/596e30a3-93f2-4e08-b180-e7c7ace91968)\n\n**_The Vehicle_**\n\nOur initial vehicle will look to host modular government payloads (electro-optical cameras, infrared cameras, signal collection, deployable decoys, weapon systems, etc.). Continued development will be done for rendezvous operations, both for military applications and commercial applications.\n\n\n\n**Who We Are**\n\n![uploaded image](/media/?type=post&id=87855&key=user_uploads/2288560/e7c957ae-056f-4dd5-85a7-d06a54734350)\n\nBen and Ross have over 15 years of combined experience in the aerospace industry from NASA, Aerojet Rocketdyne, SpaceX, Blue Origin, and most recently, Relativity Space. They met at Relativity Space when tasked with developing and qualifying the Flight Termination System for the Terran-1 rocket. Since then, Ben and Ross have been working closely together developing turbomachinery systems and heat exchangers for the Aeon-R engine before leaving Relativity to start Orbital Operations. They bring a unique skillset based on rocket engine and turbomachinery development, as well as a wide array of advanced manufacturing capabilities.\n\n**The Ask**\n\n* **Feedback** – Please reach out to ask questions, share insights and experiences in the aerospace industry\n* **Connect** – Any and all contacts within the military (US Space Force and Air Force) would be appreciated! Also looking for warm introductions to commercial customers\n* **Share** – Spread the word and follow along! Space is fun, and rocket engines are exciting to watch, even when they disassemble themselves!", "url": "https://www.ycombinator.com/launches/Mr1-orbital-operations-high-thrust-reusable-vehicles-in-space", "votes": 29, "created_at": "2025-02-20T08:50:14.954Z" } ] }, { "id": 30294, "name": "Sennu AI", "slug": "sennu-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/35cbadbc20698fdbde411ffce51ce8c13ee4beb3.png", "website": "https://www.sennu.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Sennu AI builds AI systems that fundamentally transform how your business operates", "one_liner": "We turn traditional companies into AI companies", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1737750089, "tags": [ "Generative AI", "SaaS", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "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/sennu-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/sennu-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sennu-ai", "x_url": "https://x.com/SennuAI", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/sennu-ai", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/35cbadbc20698fdbde411ffce51ce8c13ee4beb3.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": 1939169, "full_name": "Sukhjit Singh", "title": "Founder/CEO", "founder_bio": "Building Sennu AI | prev @ Brex", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sukhjit-singh-ut/", "x_url": "https://x.com/ssinghh14", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dafa03e73686719484132985fc169297ae1590f9.jpg" }, { "user_id": 990840, "full_name": "Sriman Gaddam", "title": "Founder/CTO", "founder_bio": "Building Sennu AI | prev @ Confluent", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sriman-gaddam/", "x_url": "https://x.com/SrimanGaddam", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a09b8c3aaf1edccc3a67fabe82c46e31013c7f65.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 96202, "title": "Sennu AI: AI Code Review for Salesforce Development", "tagline": "Sennu AI reviews every pull request with full context of your Salesforce codebase like a senior Salesforce architect would", "body": "# **Problem**\n\nSalesforce code reviews often take days to merge and often contain Salesforce specific bugs that are hard to catch.\n\n---\n\n# **Solution**\n\nSennu AI is an AI code reviewer built for Salesforce. It automatically reviews every pull request using Salesforce best practices and full context of your custom Salesforce org just like how a senior Salesforce architect would. Sennu AI leaves actionable in-line PR feedback so Salesforce dev teams can merge code faster and ship fewer bugs.\n\nQuick demo: [**https://www.youtube.com/watch?v=t1PV8OizUms**](https://www.youtube.com/watch?v=t1PV8OizUms)\n\n---\n\n# **Who We Are**\n\nWe’re Sukhjit & Sriman, best friends who have been building together since high school. We are Salesforce certified devs who grew up around Salesforce consulting and have felt the pain in writing & reviewing Salesforce code firsthand.\n\n![uploaded image](/media/?type=post&id=96202&key=user_uploads/990840/22bca36a-830b-4911-998d-3d8aa33c44ac)\n\n---\n\n# **Our Ask**\n\nIf you have Salesforce devs working on your Salesforce instance, we would love to talk to you.\n\nBook a demo here if you are interested: [**https://calendly.com/d/cwq3-bw8-cr4**](https://calendly.com/d/cwq3-bw8-cr4) or reach out at [sriman@sennu.ai](mailto:sriman@sennu.ai)", "url": "https://www.ycombinator.com/launches/P1e-sennu-ai-ai-code-review-for-salesforce-development", "votes": 12, "created_at": "2025-12-15T00:12:53.645Z" }, { "id": 91696, "title": "Sennu AI: Hands off Salesforce QA", "tagline": "AI QA Engineer that tests your Salesforce just like a human", "body": "### **Problem**\n\nTesting Salesforce is an absolute pain - countless hours are spent either testing functionality manually or writing tests in a no code framework.\n\n---\n\n### **Solution**\n\nSimply link your sprint board and our AI Salesforce QA Engineer generates test cases and executes them exactly like a human using browser automation. This entire experience is fully hands off - no setup needed except linking your Jira and Salesforce sandbox environment.\\\n\\\nBenefits of this approach\n\n* Get started in less than 5 minutes\n* All tests written in plain English\n* Can run 100s of tests at the same time\n\nQuick demo: [**https://youtu.be/PdPoNmbbsw0**](https://youtu.be/PdPoNmbbsw0)\n\n---\n\n### **Who We Are**\n\nWe’re Sukhjit & Sriman—best friends who have been building together since high school. Sriman grew up working at his parents‘ Salesforce consulting firm and saw the difficulties of Salesforce QA first hand. We’re both also Salesforce certified and have the scars from hand testing functionality at 3 am.\n\n![uploaded image](/media/?type=post&id=91696&key=user_uploads/990840/92ce3911-6f22-4474-9dfe-d354fbd19016)\n\n---\n\n### **Our Ask**\n\nIf you are a Salesforce partner that is spending hours a week on QA, we would love to talk to you.\\\nAdditionally, if you are a company with dedicated internal Salesforce admins or devs working on your Salesforce instance, we would to help your team.\\\nFeel free to book a meeting here: https://calendly.com/d/cwq3-bw8-cr4 or reach out at sriman@sennu.ai", "url": "https://www.ycombinator.com/launches/Nqy-sennu-ai-hands-off-salesforce-qa", "votes": 9, "created_at": "2025-06-28T14:20:42.933Z" }, { "id": 87149, "title": "Sennu AI - AI Sales Agent for Tech Consulting Firms", "tagline": "We help tech consulting firms find leads on autopilot", "body": "**Hey everyone! We’re Sukhjit and Sriman, co-founders of Sennu AI (W25).**\n\n## The Problem\n\nTech consulting firms offer a suite of deeply technical services (SAP S/4HANA migrations, AWS Redshift implementation) with large contract sizes ($100,000-$1,000,000+). Sales representatives at these firms struggle due to a lack of technical knowledge leading to ineffective outbound, inaccurate estimates on pricing, and lost deals. AI has only made this problem worse as SDRs face an increasing number of new unfamiliar services to sell (Agentforce, Microsoft Copilot Studio) and rapid changes in recent years have rendered historical pricing unreliable for many technical services.\n\n## The Solution\n\n**Sennu AI** is our answer to this problem: we provide an **AI SDR** purpose-built for tech consulting companies. Instead of juggling multiple tools and outdated workflows, Sennu AI autonomously:\n\n* **Creates targeted outbound campaigns** based on your specific offerings\n* **Sources leads** from across the web, qualifying them through extensive research\n* **Crafts personalized emails** with a deep understanding of each prospect’s business needs\n* **Syncs seamlessly** with your existing CRM or workflow\n\nAll with just one click. By leveraging context on all your previous projects combined with comprehensive business & technical expertise, we’re ensuring that our AI agent sends the most compelling outbound possible to every lead at scale.\n\n\n\n## Backstory\n\nGrowing up in a tech consulting family, I (Sriman) experienced firsthand the challenges of running a project-based business, especially a technical one. The lack of recurring revenue meant that sales was an ongoing challenge to keep the lights on year after year. I saw in the previous technology shift how sales reps were left struggling from the radical shift from on-prem to cloud leading to unsuccessful outbound, mistakes in sales calls, and frustrated teams. We aim to prevent the same thing happening again during this shift to AI by solving sales and host of other problems that impact project based businesses.\n\n## Our Team\n\nSukhjit and Sriman have worked together for over a decade having been debate partners in high school, starting our own tutoring business out of our college dorm, to even interning together at Brex. With strong technical backgrounds—Sukhjit at Brex and Sriman at Confluent—they’re now channeling their expertise into solving a problem that directly affects their own parents, a mission they’re both deeply passionate about.\n\n![uploaded image](/media/?type=post&id=87149&key=user_uploads/1939169/60643d7e-51cc-4ed4-a495-afd71b8c2851)\n\n## Our Vision\n\nWe believe that in the next 10 years humans will no longer be the central processors of information but rather strategic overseers who provide high-level direction. A future service based business will operate as an ecosystem of AI workers that handle all end to end business operations. Sales is just the beginning - at Sennu AI we plan to lead the transformation of service based businesses into the AI age.\n\n## Asks\n\nIf you are a tech consulting firm interested in more leads\n\n* book a demo [here](https://calendly.com/d/cqrg-cr5-7ks)\n* reach out at [sukhjit@sennu.ai](mailto:sukhjit@sennu.ai)", "url": "https://www.ycombinator.com/launches/Mfd-sennu-ai-ai-sales-agent-for-tech-consulting-firms", "votes": 27, "created_at": "2025-01-25T03:29:31.426Z" } ] }, { "id": 30295, "name": "Infinite", "slug": "infinite", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3ee72e2d0f729f9fecd56cec594e37086a27cff9.png", "website": "https://infinite.net", "all_locations": "San Francisco, CA, USA", "long_description": "Infinite is a stablecoin payment processor. We offer businesses turnkey APIs and SDKs to instantly move money anywhere in the world at a fraction of the cost of traditional solutions.", "one_liner": "Global B2B Stablecoin Processor", "team_size": 4, "industry": "Fintech", "subindustry": "Fintech -> Payments", "launched_at": 1739870082, "tags": [ "Developer Tools", "Payments", "B2B", "Compliance" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Fintech", "Payments" ], "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/infinite", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/infinite.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/infiniteinc", "x_url": "https://x.com/infinitedotdev", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/infinite-17a4", "github_url": "https://github.com/infiniteagents", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3ee72e2d0f729f9fecd56cec594e37086a27cff9.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": 39977, "full_name": "Nikhil Srinivasan", "title": "Founder/CEO", "founder_bio": "Cofounder and CEO of Infinite with Raj Lad. Previously platform product lead at Sardine and Coinbase (S12) via acq. Distributed Systems (F1).", "is_active": true, "linkedin_url": "https://linkedin.com/in/nikhilsrinivasan", "x_url": "https://twitter.com/nvs", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e4e1df6ef7dca4731467b83d6207123d4c772bce.jpg" }, { "user_id": 661959, "full_name": "Raj Lad", "title": "Founder/CTO", "founder_bio": "Cofounder and CTO at Infinite. Previously payments tech lead at Sardine where I launched the global stablecoin payments and credit risk workflow products.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rajlad/", "x_url": "https://x.com/rajlad_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3ef9e61f87a4e936567c06e81aa7fc4d230602f5.jpg" } ], "jobs": [ { "id": 72981, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/infinite/jobs/LqkMhIs-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$108K - $230K", "equity_range": "0.25% - 1.00%", "experience": "6+ years", "visa": "Will sponsor", "skills": [ "Go", "Python", "React", "TypeScript" ] } ], "news": [], "launches": [ { "id": 88276, "title": "♾️ Infinite: Global Stablecoin Payment Processor", "tagline": "Fast, affordable global payments.", "body": "[Infinite](https://youtu.be/L0Zho4tT8w8)\n\n#### **TL;DR: Fast-track your stablecoin integration**\n\nInfinite makes it easy for developers to embed global stablecoin payment rails through a turnkey SDK. Our customers use us to move money cross-border on same-day with low fees, all without crypto complexity.\n\n#### **The problem**\n\nAfter talking to over hundreds of merchants and payment processors, we found that global payments are slow, expensive, and unreliable. Traditional financial rails such as SWIFT result in high fees and multi-day delays with little transparency on the state of their transfer. Yet companies, both big and small, struggle to adopt stablecoins due to complex compliance requirements and fragmented vendor integrations.\n\n#### **Our solution**\n\nWe're building what merchants worldwide need: fast, affordable global payment rails that can be integrated in days instead of months. Infinite can process same-day payments to over 170 countries, enabling businesses to leverage stablecoins as a settlement network (a la SWIFT) for cross-border payments. Our network of on and off-ramps provides connectivity to local fiat funding and payout flows, enabling faster global money movement and our turnkey SDKs and APIs allow businesses to embed stablecoins into their applications faster. Today, our platform supports:\n\n* **Customer Bank to User Bank** — US bank -> International bank (e.g., USA to LATAM), allowing businesses to send local currency payments with instant settlement to LATAM, Europe, Africa, and SEA\n* **Customer Bank to User Wallet** — US bank -> user wallet, allowing businesses to send USD stablecoin payouts globally and instantly\n* **Customer Bank to User SDK** — Embedded wallet and hosted links experience for payment beneficiaries to seamlessly receive and manage stablecoin payments without dealing with crypto complexity\n* **Treasury Management** — Store balances in USD-denominated stablecoins earn a competitive yield and issue cards against wallet balances\n\n![uploaded image](/media/?type=post&id=88276&key=user_uploads/39977/7323ca79-3e4d-4e27-8a2d-7417c40b06c4)\n\n#### **Our wedge**\n\nWe partner with early-stage to mid-market companies with global payments, contractor payouts, and treasury management workflows, including:\n\n* **Creator Economy** – Creator payouts for platforms looking to reduce payment costs, increase successful delivery rates to their global creator base, and offer USD-based payout options\n* **Global Payroll** – Global payroll platforms looking to increase coverage, streamline tax compliance, and move money faster.\n* **Logistics** – Import/export payments for businesses struggling with slow settlement times and high fees in cross-border trade\n* **Marketplaces** – Marketplace payouts for platforms needing to send frequent, low-cost payments to sellers and service providers worldwide\n* **Neobanks:** Traditional banks for SMBs or neobanks in emerging markets looking to hold stablecoin-backed treasuries and remit globally\n* **Gaming** – eSports and gaming audiences are increasingly global, and consumers demand instant off-ramping options in their local markets\n\n#### **About us**\n\nWe’re building this platform to solve pain points we experienced building financial products at scale at companies like [Sardine](https://sardine.ai) and [Coinbase,](https://coinbase.com) where we learned about customers’ needs firsthand.\n\n![uploaded image](/media/?type=post&id=88276&key=user_uploads/39977/da6a2143-8cec-4854-b28a-5b2123b88f15)\n\n**Ready for instant global payments that just work?** Book a demo [here](https://cal.com/infinite) or reach out to us at [founders@infinite.dev](mailto:founders@infinite.dev)!\n\n![uploaded image](/media/?type=post&id=88276&key=user_uploads/39977/f12c7d30-ed73-413a-8d57-a08bc1f459b1)\n\n", "url": "https://www.ycombinator.com/launches/Mxo-infinite-global-stablecoin-payment-processor", "votes": 48, "created_at": "2025-03-06T04:43:08.672Z" } ] }, { "id": 30296, "name": "Peppr AI", "slug": "peppr-ai", "former_names": [ "peppr.ai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c5845a68f41f0b45b919c6d9f64f83b2da23349a.png", "website": "https://www.usepeppr.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Peppr makes the sales call itself the enablement surface. Our real-time overlay listens to customer conversations, surfaces approved answers to technical questions instantly, and suggests discovery questions to deepen signal - all grounded in your company's existing knowledge across 150+ enterprise tools. Reps stop deferring, messaging stays consistent, and enablement teams finally get visibility into where live conversations break down.", "one_liner": "In-call AI teleprompter that helps reps close enterprise deals", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1739485399, "tags": [ "Sales", "Sales Enablement" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Sales" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/peppr-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/peppr-ai.json", "year_founded": 2025, "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/c5845a68f41f0b45b919c6d9f64f83b2da23349a.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": 1481983, "full_name": "Nitya Arora", "title": "Founder/CEO", "founder_bio": "Improving the data layer for agentic AI systems", "is_active": true, "linkedin_url": "https://linkedin.com/in/nityaarora108", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0905446eb2f882eb1da995b962ae9b57d7faceab.jpg" }, { "user_id": 2243103, "full_name": "Sachitt Arora", "title": "Founder/CTO", "founder_bio": "Improving the data layer for agentic AI systems", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sachittarora/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a13b4ac8a32e305c26d82a25fdf12d5b17cd8cd7.jpg" } ], "jobs": [ { "id": 79167, "title": "AI Developer / AI Engineer", "url": "https://www.ycombinator.com/companies/peppr-ai/jobs/ZJhISZP-ai-developer-ai-engineer", "location": "Cupertino, CA, US / San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $150K", "equity_range": "0.25% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Flask", "JavaScript", "Python", "React", "Redis" ] }, { "id": 79168, "title": "Backend Engineer", "url": "https://www.ycombinator.com/companies/peppr-ai/jobs/G5EZKYI-backend-engineer", "location": "Cupertino, CA, US / San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $150K", "equity_range": "0.25% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Flask", "JavaScript", "Python", "React", "Redis" ] }, { "id": 79169, "title": "Frontend/Full-Stack Engineer", "url": "https://www.ycombinator.com/companies/peppr-ai/jobs/LV9cj5B-frontend-full-stack-engineer", "location": "Cupertino, CA, US / San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $150K", "equity_range": "0.25% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Flask", "JavaScript", "Python", "React", "Redis" ] } ], "news": [], "launches": [ { "id": 87684, "title": "Peppr AI: The world's first AI-powered knowledge capture platform", "tagline": "Enabling teams of any scale to move at startup speed", "body": "### **TL;DR**\n\nLost knowledge is lost productivity.\n\nPeppr AI turns scattered company data into a living, self-improving knowledge hub to fuel faster decisions across your organization. Through this, Peppr ensures that **no matter** **how much your team scales in size, it can still operate with the same speed as the leanest startups.** \n\n**The Problem**\n\nAs companies scale, their teams inevitably grow—and so does their information. Projects multiply, contacts proliferate, and goals stack up. Critical details sink into buried Slack threads, outdated Confluence docs, and a myriad of PM tools. This not only leads to incessant handoff meetings and endless email threads, but **90% of critical knowledge remains undocumented (in large U.S. businesses) due to inefficient knowledge-sharing.**\n\n### **Our Solution**\n\nPeppr AI is built to solve these deep-seated knowledge bottlenecks.\n\n**Unlike tools that rely on employees manually documenting what they do (which we all know they don’t ;)**, Peppr autonomously captures critical insights hidden in engineering workflows—surfacing the knowledge that typically goes undocumented.\n\n[Peppr AI Demo](https://youtu.be/toz3hokheXs)\n\nBy **autonomously ingesting data** from key platforms, Peppr:\n\n1. **Auto-Generates Internal Documentation**\n * Creates synthesized summaries of daily activity from Slack, Notion, Jira, etc., keeping everyone up to speed.\n2. **Offers Intelligent, Real-Time Insights**\n * Pinpoints blockers in projects and recommends intelligent workflows or POCs (Points of Contact) to resolve them.\n3. **Develops “Virtual Employee Minds”**\n * Retains institutional knowledge, so when employees leave or are away, their expertise doesn’t have to be waited on and doesn’t walk out the door with them.\n4. **Supercharges Existing AI Tools**\n * Empowers AI tools like Cursor and Glean with the most advanced, continuously updating knowledge base, enabling them to operate with deeper context and greater accuracy.\n\n![uploaded image](/media/?type=post&id=87684&key=user_uploads/1481983/ea6c5c9c-368e-451e-978b-fd817e630b03)\n\nOur ‘virtual employee’ dashboard doesn’t just track productivity—it unlocks hidden insights, revealing impact and expertise across the org in real-time.\n\n![uploaded image](/media/?type=post&id=87684&key=user_uploads/1481983/11f1a5c2-30bf-4cb9-8404-bf369d4b9ebe)\n\nA command center for execution—Peppr’s team-wide dashboard pinpoints roadblocks, suggests the fastest resolutions, and ensures work never stalls.\n\n### **Why It Matters**\n\nIn the perfect information system, no one wastes time hunting for answers, waiting for replies, or sitting through redundant meetings. **Unfortunately, for most organizations today, it's the opposite.** \n\nEngineers get blocked searching for past solutions instead of shipping faster. Managers struggle with visibility. Teams waste hours trying to align.\n\n**Peppr changes this.**\n\nUnlike other AI-powered tools, which only surface information that employees have manually written down, **Peppr AI captures and records the knowledge that never makes it into documentation** – so work moves forward instead of in circles.\n\nAnd because every productivity tool, AI agent, and search system is only as powerful as the data it relies on, Peppr doesn’t just unify knowledge—it supercharges all your existing systems. **Like an internal Scale AI**, it continuously organizes, refines, and contextualizes your data, ensuring every one of your organization’s systems operates at peak efficiency. **No bottlenecks. No blind spots. Just pure execution at startup speed—no matter how big you grow.**\n\n### **Our Ask**\n\n* **Connect us to Series B+ Startups and Enterprise Teams (30+ Employees)** that are struggling with growing silos, inefficiencies, and lost productivity.\n\n![uploaded image](/media/?type=post&id=87684&key=user_uploads/1481983/3a659f02-da4d-469a-8d8c-f97a632545a2)\n\n", "url": "https://www.ycombinator.com/launches/MoG-peppr-ai-the-world-s-first-ai-powered-knowledge-capture-platform", "votes": 109, "created_at": "2025-02-14T01:03:46.661Z" } ] }, { "id": 30297, "name": "OpenIntake", "slug": "openintake", "former_names": [ "TripleZip" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1df405069dcaa60afa0846603e01e765ebe5af44.png", "website": "https://www.openintake.ai/", "all_locations": "New York City, NY, USA", "long_description": "OpenIntake boosts law firm revenue by converting callers into clients 24/7.", "one_liner": "The AI Front Door For Law Firms", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1739319968, "tags": [ "SaaS", "B2B", "Sales", "Legal", "LegalTech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/openintake", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/openintake.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/106200029/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1df405069dcaa60afa0846603e01e765ebe5af44.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": 2375948, "full_name": "Yash Sahota", "title": "Founder", "founder_bio": "Co-founder of OpenIntake, the AI front door for law firms.\n\nBefore OpenIntake, I was a product security engineer at Slack and a consultant at McKinsey & Company.\n\nCornell CS '20", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yashsahota", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/65cc0cd62110c0500ee9aa7d8d519117c00c4b84.jpg" }, { "user_id": 2371405, "full_name": "Grayson Pike", "title": "Founder", "founder_bio": "Co-founder of OpenIntake, the AI front door for law firms..\n\nBefore OpenIntake, I was a consultant at McKinsey & Company and a back-end tech lead at a hedge fund.\n\nUniversity of Texas at Austin class of '21 🤘", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/graysonpike/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/edb51d6ffda537f5cd707b4e8604c1d02d4b3e6d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87973, "title": "TripleZip - AI for Commercial Real Estate Accounting 📊", "tagline": "Commercial property accounting in minutes, not months.", "body": "**TLDR:** TripleZip automates complex accounting tasks for Commercial Real Estate firms, cutting admin costs and lowering legal risk.\n\n**Demo:** \n\n**❌ The Problem: Expensive and error-prone accounting**\n\n* CRE firms pay $$$ for lawyers to manually extract data from their leases\n* Then they pay $$$ for accountants to reconcile tenant accounts\n* The whole process takes 3+ months & often has costly errors.\n\nWe learned about the problem from our parents, who own commercial real estate in San Antonio, TX. After trying existing CRE accounting software, we found that the entire process relied on error-prone manual entry and expensive consulting services.\n\n**✅ Our Solution: Replace manual entry with AI**\n\n* TripleZip extracts data from leases with AI (more accurately than humans)\n* TripleZip feeds that data into an accounting engine which reconciles accounts instantly\n* Done in <1 day, 10X cheaper than hiring a consultant or service firm\n\nWe’ve started by automating the most complex part of CRE accounting: Triple-net (NNN) reconciliation. This process accounts for up to 1/3 of the accounting effort for a large CRE firm and often results in expensive human errors and audits.\n\nBy reducing the overhead costs of accounting and avoiding costly audits related to NNN reconciliations, we aim to improve our customer’s margins by as much as 25% percent.\n\n**Our Team**\n\n![uploaded image](/media/?type=post&id=87973&key=user_uploads/2371405/6fe9a40c-dc81-438e-8c4b-76a5bbebf00d)\n\nGrayson and Yash are close friends who have collaborated on software projects since they met in middle school. Since then, they have worked together as consultants at McKinsey & Company in New York.\n\nMost recently, Grayson was a back-end tech lead at a hedge fund and Yash was a security engineer at Slack while helping with his family’s commercial real estate business.\n\nYash earned a B.S. and an M.Eng. in Computer Science from Cornell in 2020.\n\nGrayson earned a B.S. in Computer Science from the University of Texas at Austin in 2021.\n\n**Our Ask**\n\n* **Do you know someone who works in Commercial Real Estate?** We’d love to meet them! Please reach out at [founders@triplezip.ai](mailto:founders@triplezip.ai) \n* **Do you manage commercial real estate?** We’d love to chat! Contact us at [founders@triplezip.ai](mailto:founders@triplezip.ai)", "url": "https://www.ycombinator.com/launches/Msv-triplezip-ai-for-commercial-real-estate-accounting", "votes": 67, "created_at": "2025-02-24T20:59:43.717Z" } ] }, { "id": 30298, "name": "Artificial Societies", "slug": "artificial-societies", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4b3909ae6042c4c2c9f3eda0ecfb1cf5f8ab4c02.png", "website": "https://societies.ai", "all_locations": "London, England, United Kingdom", "long_description": "Simulate decisions that matter.\r\n\r\nArtificial Societies builds a foundational model of human societies so enterprises and sovereigns can explore how people may respond before making consequential decisions. We combine behavioural science with simulations grounded in real-world behaviour to understand individual perspectives and how opinions develop across connected groups.\r\n\r\nTeams use our simulations to test communications, prepare for crises, explore new markets, and assess investor and public-policy reactions. They can run surveys, focus groups, interviews and experiments with simulated audiences, including stakeholders who are difficult to reach through traditional research, and decisions too sensitive to test otherwise.\r\n\r\nOur mission is to pioneer socially intelligent technology that shape the decisions that shape the world.", "one_liner": "Foundational model of human societies for consequential decisions", "team_size": 18, "industry": "B2B", "subindustry": "B2B", "launched_at": 1739843143, "tags": [ "B2B", "Market Research", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United Kingdom", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/artificial-societies", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/artificial-societies.json", "year_founded": 2024, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/artificial-societies", "x_url": "https://x.com/societies_ai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/artificial-societies", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4b3909ae6042c4c2c9f3eda0ecfb1cf5f8ab4c02.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": 2143774, "full_name": "James He", "title": "Founder/CEO", "founder_bio": "CEO at Artificial Societies. Ex-Cambridge computational social science. Ex Yonder.\n\nAt 16, James was offered $600k to fund his ed-tech startup but chose to attend Cambridge instead. After graduating, James turned down a PhD offer to join Yonder - a credit card startup - and built the entirety of their lending ML systems. He then started his own scholarship at age 21, and led the largest-scale study of an LLM society in his spare time. He co-founded Artificial Societies in Oct 2024.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/james-k-he/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/310aad583f8d33e1ffeece5370426f72fc0c1f96.jpg" }, { "user_id": 2390979, "full_name": "Patrick Sharpe", "title": "Founder/CPO", "founder_bio": "Leading Product at Artificial Societies. Background in applied behavioural science.\n\nPatrick completed an MSc in behavioural econ, and left academia to lead behavioural science and CX projects at iptiQ - an insurtech startup owned by Swiss Re, the largest Reinsurer in the world. He joined Unconventional Wisdom, a specialised behavioural science consultancy, and scaled the client-base 3x within a year, before co-founding Artificial Societies in 2024.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/patrick-sharpe-684250110/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/77b2d5c7c0e9caab19d762e89205f2e0c1e6add2.jpg" } ], "jobs": [], "news": [ { "title": "Artificial Societies", "url": "https://www.forbes.com/profile/artificial-societies/", "date": "Apr 30, 2026" }, { "title": "Artificial Societies Raised a $5.35 Million Round With This Deck - Business Insider", "url": "https://www.businessinsider.com/artificial-societies-seed-funding-pitch-deck-y-combinator-2025-8", "date": "Aug 27, 2025" } ], "launches": [ { "id": 88102, "title": "Artificial Societies - Simulate High-Value Audiences", "tagline": "We help enterprises test high-stakes marketing & comms decisions.", "body": "Hello World, we’re [James](https://www.linkedin.com/in/james-k-he/) and [Patrick](https://www.linkedin.com/in/sharpe-patrick/) - founders of Artificial Societies 👋\n\n**We simulate 1000s of stakeholders and how they react to information.** We help Fortune 500 enterprises simulate how their most important audiences - policy influencers, investors, buyer committees, etc. - react to their most important marketing and comms decisions. Find out more at [**societies.io**](http://societies.io).\n\n# **Our Story**\n\nWe’re both behavioral scientists, but took different paths - James used machines to predict humans, while Patrick ran experiments in large organizations.\n\nIn 2023, James started tinkering with a crazy idea: what would a society of 33,000 AI bots look like? He wrote this into the first-ever large-scale [academic study](https://societies.io/pdfs/bjop-2025-ai-chatbots-collective-behaviour.pdf) on AI societies, and started turning it into a product.\n\nOne day in a London coffee shop in 2024, James used a simulation to recreate an experiment Patrick had spent two months on… in just ten minutes. That same week, Patrick quit his consulting job to co-found Artificial Societies with James.\n\nWe started by simulating a network of 1,000 VCs, and used it to raise a pre-seed and get into YC. Next, we built Reach, a tool that let anyone create an AI simulation of their own LinkedIn audience, to test posts before hitting publish. \n\nNow, we are focusing on enterprise customers and consulting partners who are demanding us to build a more exceptional technology:\n\n# **Introducing Radiant**\n\nWe help marketing and strategic comms teams build bespoke AI simulations of high-value audiences, for insights on questions no one else can answer.\n\nRadiant has already delivered over 18 million responses to global F100 enterprises, that helped shape over 100 million dollars’ worth of decisions ranging from [investor relations](https://societies.io/investor-communications-simulation), [high-value advertising](https://societies.io/advertising-testing-with-ai), [crisis communications](https://societies.io/crisis-communications-simulation), [reputation management](https://societies.io/reputation-management-simulation), and [corporate strategy positioning](https://societies.io/corporate-strategy-simulation).\n\n**Here’s [Radiant in action](https://www.linkedin.com/posts/james-k-he_anthropic-gambled-millions-on-their-superbowl-activity-7426611068254322688-fyEq?utm_source=share&utm_medium=member_desktop&rcm=ACoAACk3-R4BvvNrRdti8qSJ9yH6XurA_LAGBoc).**\n\nTo power Radiant, we’ve built over 2.5 million AI personas that are all grounded in real human behaviour – not just what people say, but also what they do, and who they are influenced by. \n\nBut our enterprise partners choose us not just because we have achieved 1) [95% distribution accuracy](https://societies.io/publications) against human self-replication, and 2) 90% persona internal coherence, both on [empirically and theory-grounded evaluations](https://societies.io/how-accurate-are-ai-personas).\n\nMore importantly, they choose us because of our ability to deliver impossible research projects - such as having insights backed by millions of responses within 24 hours, such as being able to test sensitive strategies on high-value audiences with 100% security, without human risk.\n\n# **What’s next?**\n\nOur vision of Artificial Societies is a **Societal World Model** that enables infinite experimentation, so that every organisation can have awareness of outcomes, before making a decision. \n\nNo planes fly without a wind-tunnel; no medicines are approved without clinical trials; and yet, the biggest decision societies face today are taken as bets. \n\nWe see Artificial Societies as a historically inevitable technology, and see it as our lives' mission to bring it to life.\n\n### **Our Ask 🙏**\n\n**We are rolling out Radiant at marketing & comms teams globally.** If you are someone / know someone who lead strategic comms consultancies or enterprise marketing firms, please reach out or introduce us at [founders@societies.io](mailto:founders@societies.io).\n\n![uploaded image](/media/?type=post&id=88102&key=user_uploads/2143774/711fccb2-d4a1-4c35-9e7f-8ccb2cbafbe0)\n\n![uploaded image](/media/?type=post&id=88102&key=user_uploads/2143774/4e5884e4-64c7-4285-9658-a5c9f0b1b2e2)\n\n", "url": "https://www.ycombinator.com/launches/Mv0-artificial-societies-simulate-high-value-audiences", "votes": 97, "created_at": "2025-02-27T07:01:30.111Z" } ] }, { "id": 30299, "name": "Miyagi Labs", "slug": "miyagi-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e5465f36b202134eec8628c9e4cf35661e125dbd.png", "website": "https://miyagilabs.ai", "all_locations": "New York City, NY, USA", "long_description": "Miyagi Labs is an AI-powered exam preparation platform built to unlock human intelligence and democratize world-class education globally. We provide students with an elite AI tutor, hyper-personalized study analytics, and an infinite engine of rigorous practice material tailored to exam material.\r\n\r\nWe currently support major standardized exams across North America, Europe, Africa, and Asia, including the SAT, ACT, and NYC SHSAT (US), the UTME (Nigeria), the KCSE, KJSEA and KPSEA (Kenya), the NEET and CAT (India), and the YKS (Turkey).\r\n\r\nWe’re building the platform we wish we had when studying for exams. We envision a world where students anywhere can come to Miyagi to receive personalized, world-class AI tutoring designed to unlock their full potential.", "one_liner": "AI tutors for exam prep", "team_size": 2, "industry": "Education", "subindustry": "Education", "launched_at": 1739904496, "tags": [ "AI-Enhanced Learning", "Education", "eLearning", "Edtech" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Education" ], "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/miyagi-labs", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/miyagi-labs.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/miyagi-labs/", "x_url": "https://x.com/miyagi_labs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e5465f36b202134eec8628c9e4cf35661e125dbd.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e5f830d199a6234eb8888ebfb3fe5d781b4b36ef.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 2421683, "full_name": "Tyrone Davis III", "title": "Founder/CEO", "founder_bio": "Passionate about education. Previously founded the nonprofit The Gift of Chess spreading chess education globally. I'm from NYC and studied computer science at MIT.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tyroned3/", "x_url": "https://x.com/tyronedavisiii", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9353504470d7b77b900e4e0617e1e747b54230ea.jpg" }, { "user_id": 546268, "full_name": "Guang Cui", "title": "Founder/CTO", "founder_bio": "Helping students learn better. Building Miyagi Labs, where we turn videos into complete and interactive courses. I'm originally from Maryland and studied computer science at MIT. I love music and ninja warrior.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/guang-cui-40140a89/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/941a7966b3be927e6192b77cf45f378026aed7b7.jpg" } ], "jobs": [ { "id": 117398, "title": "Content Creator & Growth Contract - South Africa", "url": "https://www.ycombinator.com/companies/miyagi-labs/jobs/AGOTn0G-content-creator-growth-contract-south-africa", "location": "ZA / Remote (ZA)", "type": "Contract", "role": "Marketing", "role_type": null, "salary_range": "$350 - $500 / monthly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117399, "title": "Content Creator & Growth Contract - Ethiopia", "url": "https://www.ycombinator.com/companies/miyagi-labs/jobs/zzzPhpQ-content-creator-growth-contract-ethiopia", "location": "ET / Remote (ET)", "type": "Contract", "role": "Marketing", "role_type": null, "salary_range": "$100 - $250 / monthly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117420, "title": "Content Creator & Growth Contract - Pakistan", "url": "https://www.ycombinator.com/companies/miyagi-labs/jobs/L5qCuST-content-creator-growth-contract-pakistan", "location": "PK / Remote (PK)", "type": "Contract", "role": "Marketing", "role_type": null, "salary_range": "$100 - $300 / monthly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 87863, "title": "Miyagi Labs: AI to transform YouTube content into interactive courses", "tagline": "100+ courses with top professors and creators", "body": "Hi everyone! We are [Guang](https://www.linkedin.com/in/guang-cui/) and [Tyrone](https://www.linkedin.com/in/tyroned3/) - cofounders of Miyagi Labs.\n\n**TL;DR**\n\nWe use AI to transform YouTube content into complete, interactive courses—imagine a 3Blue1Brown video turned into an online course with quizzes and study material. We help people learn better with active practice and personalized feedback.\n\n[Demo video](https://www.youtube.com/watch?v=-8AfVemdtr0)\n\n**The Problem**\n\nLearning is flawed: online resources are everywhere, but 1-1 tutoring (which most people can’t afford) is still 2 standard deviations more effective than other methods. \n\nYouTube has top-notch content on everything for free, but how do you turn that passive watching into active learning?\n\n**Our Solution**\n\nContent creators, educators, and learners can instantly convert educational videos into structured, interactive courses that drive real learning.\n\nOur [platform](https://miyagilabs.ai/) automatically generates short-answer and multiple-choice questions, quizzes, and AI-driven feedback, turning passive watching into an active, engaging experience. Learners receive instant responses to their answers and can access an AI voice tutor for additional guidance.\n\nCreators and educators, who love sharing knowledge but don’t have time to create entire courses, can focus on what they do best while we handle the active learning and engagement.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXd_zOqR1Y2oqnOjlrJ5PjjmfRbYTBbY-iXt5YHOD7JgVvrvtYAMp-5ydGudljDOetpB5lxXpzZ9cLZR-7BFYogL-UY91D-SwsyByTND5ge_amUhxg1z36k3CzMHUdiEPwDI2ySMUQ?key=JK8gbU_5XOAH5k3bm1TXYGo-)\n\n**The Team**\n\nGuang and Tyrone met in college at MIT studying Computer Science and both are extremely passionate about learning and teaching.\n\nTyrone became a chess master in 4 years just from watching YouTube, has learned 4 languages, and has taught computer science around the world.\n\nGuang has taught algorithms (as a TA), math, physics, and music to hundreds of students. He has also become an elite American Ninja Warrior and coached students at multiple gyms. \n\nBecause of our experiences, we have unique insights on how to learn and teach effectively.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcZGlsLXlxt9UIr3jpoxf_jhxX2KJnG75yF9hN2hzm3aiGL_y96LBErUiCn6V1aDxuGFbLA9w8P9Eq2zd2UrDZsN9Otld5mCOmjPw3qhUyQgtrREpnlsgpEaYeLyckr-k0WtvQs?key=JK8gbU_5XOAH5k3bm1TXYGo-)\n\n**Our Ask**\n\nIf you know…\n\n* Businesses that want to convert internal product videos or notes into online training courses for employees\n* Educators or content creators who want to turn their videos into interactive courses\n* Anyone interested in learning something new\n\n…we'd love to hear from you.\n\nEmail: [founders@miyagilabs.ai](mailto:founders@miyagilabs.ai)", "url": "https://www.ycombinator.com/launches/Mr9-miyagi-labs-ai-to-transform-youtube-content-into-interactive-courses", "votes": 83, "created_at": "2025-02-20T16:40:13.520Z" } ] }, { "id": 30301, "name": "Fuse AI", "slug": "fuse-ai", "former_names": [ "KompassAI", "FuseAI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3867f5ddc00eb6796cf0b3718c7f1e735656fe4b.png", "website": "https://fuseai.com/", "all_locations": "San Francisco, CA, USA", "long_description": "FuseAI is the AI-native sales platform for modern revenue teams.\r\n\r\nBuilt for high-performance outbound, FuseAI consolidates your entire GTM stack - data, enrichment, multi-channel automation, real-time buying signals, and AI-driven execution into one seamless system.\r\n\r\nWith powerful integrations and intelligent workflows, FuseAI doesn’t just help you run campaigns. It turns every signal into pipeline, and every rep into a top performer.", "one_liner": "Agentic Sales Platform", "team_size": 12, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1738217807, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Sales" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Nowadays go-to-market teams struggle with manual tasks and fragmented data due to the disconnected legacy software they are operating on. Legacy software evolved this way primarily because incumbents focused on becoming hyper-specialized with point-solutions to accommodate for system of record providers such as Salesforce & Hubspot and the inability to interact with data efficiently until AI had tangible commercial application in 2023. The advent of LLMs is enabling a paradigm shift in the industry with a small window, but massive opportunity, to disrupt incumbents with legacy infrastructure." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "Our mission is simple - make the best companies and sales professionals 5X better and build a platform that everyone actually enjoys using. We're building for user experience and productivity so your best reps can close $5M in deals annually vs. the traditional $1M target for SaaS companies. We've started with outbound sales, but will be expanding to other GTM verticals across inbound sales, revenue operations, account management, and marketing. As we expand our AI-agents across GTM operations roles, our platform will drive significant savings for companies without the need to have huge support functions for roles such as: technical systems analysts, revenue operations professionals, and deal desk analysts with most of their redundant activities automated. The total market opportunity is 1+ trillion for developing a new type of software interface embedded with vertical AI agents to both streamline existing workflows and drive savings from FTE reductions." } ], "url": "https://www.ycombinator.com/companies/fuse-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/fuse-ai.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tryfuseai/?viewAsMember=true", "x_url": "https://x.com/tryfuseai?s=21&t=U8uO3G_ueNJiXtFN1o0qFg", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3867f5ddc00eb6796cf0b3718c7f1e735656fe4b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/27b5711dda3b66164a33beba53a0288efa021fb0.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1530683, "full_name": "Saurav Bubber", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO at FuseAI, based out of San Francisco. Saurav is a seasoned operator, most recently supporting Deel's hyper-growth from $50M > $600M+ ARR on the GTM Strategy & Operations team. He graduated from the Richard Ivey School of Business with a B.A. in Honors Business Administration. In his spare time, he enjoys playing golf, piano, and is an avid F1 fan. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/sauravbubber", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/707b0254f8e202d35345588e3fa05a21eec7a463.jpg" }, { "user_id": 1134000, "full_name": "Imogen Low", "title": "Founder/CTO", "founder_bio": "At 17, Imogen joined SAP’s Innovation team as a MLE after teaching herself to code and earning international recognition for her indoor navigation app. She later led NLP and ML initiatives across Asia Pacific at SAP before co-founding NWO.ai in New York at 21. As CTO, she helped build a pioneering platform that analyzes unstructured data to forecast global consumer trends, securing enterprise clients like LVMH, L'Oréal, P&G, and Colgate. Later, NWO.ai was acquired by Growth Protocol.", "is_active": true, "linkedin_url": "https://linkedin.com/in/imogen-low", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b8bf93ddec356f02efca8f7d5cc0b95a631c0041.jpg" } ], "jobs": [ { "id": 75354, "title": "Senior Software Engineer", "url": "https://www.ycombinator.com/companies/fuse-ai/jobs/hbFIiUp-senior-software-engineer", "location": "San Francisco, CA, US / Remote (IN; BR; AR)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$30K - $160K", "equity_range": "0.25% - 2.00%", "experience": "1+ years", "visa": "Will sponsor", "skills": [ "JavaScript" ] }, { "id": 80138, "title": "Senior Frontend Engineer", "url": "https://www.ycombinator.com/companies/fuse-ai/jobs/AS9hfmv-senior-frontend-engineer", "location": "Remote", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$30K - $80K", "equity_range": "0.10% - 1.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 80392, "title": "Growth & Operations Summer Associate", "url": "https://www.ycombinator.com/companies/fuse-ai/jobs/8ulCBUf-growth-operations-summer-associate", "location": "San Francisco, CA, US", "type": "Internship", "role": "Marketing", "role_type": null, "salary_range": "$4.25K - $8.5K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 100377, "title": "Head of Growth Marketing", "url": "https://www.ycombinator.com/companies/fuse-ai/jobs/O8rfux6-head-of-growth-marketing", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$80K - $200K", "equity_range": "0.25% - 2.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 87825, "title": "FuseAI - Agentic Sales Platform", "tagline": "We’re killing legacy sales software with AI agents - RIP Salesforce & ZoomInfo. 🦖🦖", "body": "**TL;DR – [FuseAI](https://tryfuse.ai/) is an agentic sales platform that enables B2B companies to simplify their tech stacks and empowers 1 sales professional to complete the work of 5.** \\\n\\\n▶️ [**Try FuseAI today**](https://tryfuse.ai/) ◀️\n\nHere’s a [preview of what we’re building at FuseAI](https://youtu.be/nPVwCphuZAI)\n\n### **The Problem**\n\nNowadays, go-to-market teams struggle with manual tasks and fragmented data due to the 10+ disconnected sales tools they are operating on. Legacy software evolved this way primarily because incumbents focused on becoming hyper-specialized with point solutions to accommodate for system of record providers such as Salesforce & Hubspot and the inability to interact with data efficiently until AI had tangible commercial application in 2023. The advent of LLMs is enabling a paradigm shift in the industry with a small window, but massive opportunity, to disrupt incumbents with legacy infrastructure.\n\n### **Our Solution**\n\nOur product can be best described as an agentic sales platform – think Salesforce meets OpenAI operator with the ability to complete any workflow imaginable through simple natural language prompts. The first agents in production enable users to complete the following through simple natural language prompts:\n\n* Automatically create targeted lead lists\n* Conduct market research on prospects\n* Automatically create & manage opportunity pipeline\n* Engage with clients across LinkedIn and email\n\n### **Our Mission**\n\nOur mission is simple - make the best companies and sales professionals 5X better and build a platform that everyone actually enjoys using. We're building for user experience and productivity, so your best reps can close $5M in deals annually vs. the traditional $1M target for SaaS companies. We've started with outbound sales but will be expanding to other GTM verticals across inbound sales, revenue operations, account management, and marketing. As we expand our AI agents across GTM operations roles, our platform will drive significant savings for companies without the need to have huge support functions for roles such as: technical systems analysts, revenue operations professionals, and deal desk analysts, with most of their redundant activities automated. The total market opportunity is 1+ trillion for developing a new type of software interface embedded with vertical AI agents to both streamline existing workflows and drive savings from FTE reductions.\n\n### **How We Got Here**\n\nWe started [FuseAI](https://tryfuse.ai/) out of Saurav’s frustration at Deel - despite being one of the most successful companies of all time, they still struggled immensely with legacy sales software, creating inefficient manual workflows across the go-to-market organization. With the vast improvement in LLMs and agentic applications - Saurav and Imogen realized it was the perfect time to build a new operating system to disrupt legacy incumbents in the industry and took the plunge to start building the future of go-to-market at [FuseAI](https://tryfuse.ai/).\n\n### **Use FuseAI**\n\nYou can get started today by joining the [waitlist or booking a demo](https://tryfuse.ai/) with the team today. Sales professionals from around the world use [FuseAI](https://tryfuse.ai/) to automatically create lead lists, engage with clients, deanonymize website traffic, and manage their deal cycles.\n\n### **Asks**\n\n* **Try FuseAI** out and reach out to us with your feedback and questions. We love when people send us screen recordings, written feedback, and ideas. Email Saurav - [saurav@tryfuse.ai](mailto:saurav@tryfuse.ai)\n* **Contribute** – Help us build the future of AI agents in go-to-market! We have an active community of contributors from all over the world who recommend agents and collaborate on agents to build, feel free to reach out to [saurav@tryfuse.ai](mailto:saurav@tryfuse.ai) to learn more\n* **Follow us** – We put out a lot of content in a lot of places:\n * Follow [FuseAI on LinkedIn](https://www.linkedin.com/company/tryfuseai/?viewAsMember=true)\n * Follow FuseAI on [X](https://x.com/fuseai23129?s=21&t=U8uO3G_ueNJiXtFN1o0qFg)\n\n### **About Us**\n\nFuseAI is founded by [Saurav Bubber](https://www.linkedin.com/in/sauravbubber/), a seasoned operator, most recently supporting Deel's hyper-growth through $650M, and [Imogen Low](https://www.linkedin.com/in/imogen-low/), a machine learning engineer who joined SAP’s Innovation team at 17, and later co-founded [Nwo.ai](http://Nwo.ai) at 21 - a venture-backed AI startup acquired by Growth Protocol.\n\n![uploaded image](/media/?type=post&id=87825&key=user_uploads/89898/17ea887c-ab36-419c-afde-dae2325b0bed)\n\n", "url": "https://www.ycombinator.com/launches/MqX-fuseai-agentic-sales-platform", "votes": 38, "created_at": "2025-02-19T18:41:13.375Z" } ] }, { "id": 30302, "name": "Misprint", "slug": "misprint", "former_names": [ "CardBubble" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a1c3f9a7b61db8b3dcf3a8453340dd7f22bb529.png", "website": "https://www.misprint.com", "all_locations": "New York City, NY, USA", "long_description": "Misprint is an all-in-one marketplace that solves the biggest pain point in the collectibles world: opaque pricing. Collectors, investors, and hobbyists currently rely on scattered data from auction houses, online forums, and reseller platforms, making it difficult to know the true value of their items. Misprint streamlines the process by combining accurate pricing analytics with a seamless buy/sell marketplace, making it easier than ever to understand and monetize collectible assets.\r\n\r\nExisting marketplaces lack robust, real-time analytics because accurate valuations require deep expertise in both the collectibles domain and advanced pricing algorithms. Misprint’s unique blend of insider trading card knowledge and machine learning allows us to fill this gap.\r\n\r\nBuilding these pricing models requires extensive data infrastructure, deep domain expertise, and cutting-edge ML. Recent surges in the trading card market show that collectors crave transparent valuations.\r\n\r\nThe global collectibles market is worth tens of billions of dollars. Eva has experienced the scale of this industry firsthand, generating $500k ARR within three months of taking her Pokemon card-selling side hustle full-time. With additional segments like sports cards, comics, and emerging collectible categories, the growth runway is immense.\r\n\r\nCo-founders Eva and Jon have been best friends since Exeter, combining finance expertise, a passion for collectibles, and mathematical rigor. By merging Goldman Sachs-level financial analytics with top-tier mathematical talent, Misprint is uniquely positioned to become the go-to platform for fair, transparent pricing in the collectibles space.", "one_liner": "Misprint is building Robinhood for Pokemon cards", "team_size": 4, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1737236774, "tags": [ "Marketplace", "Consumer" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Consumer" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": true, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/misprint", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/misprint.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/misprint-inc/", "x_url": "https://x.com/MisprintInc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a1c3f9a7b61db8b3dcf3a8453340dd7f22bb529.png", "app_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/bf-public_profile/30355/app_video.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAOTKCHR7A%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022726Z&X-Amz-Expires=60&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEHEaCXVzLXdlc3QtMiJHMEUCIQDeV7cQCYWa%2ByyakJaw7aH8e0HNWEyd2tO1Fn9KHjIpkgIgJPUveNomWrSf4Oq5DPuVDY7LKeaNJPvi5F2sbSx87Hoq5QMIOhAAGgwwMDYyMDE4MTEwNzIiDJ7%2FkqUU8p5mIeDC5CrCA7F4UggTYlVYiff4mYkoYiIpXa9r%2FKkUhcKwMNwtYpcuNTEBtH5xi9Hzkl3B%2FOYmUn%2FIacrdemsB9KrtOuRo%2FccaY%2Bs%2FSuIzime%2BcYuI7%2B%2Fg2nldjcm7YPCf32sIR8EflXc2916%2FDRMbztsRKDiQDL1ZKbK6YPHJppiQyVyRrrcCFD0X7tEf0D7QgK2DIpKnu8zGLzN4oAHn6xfHIgQnynrupcJbc9cga5AURtsRl7TfSM6XaGTtp1fNogyhUKX9f%2FYIL2pg03nlhLpRpDuqHpJ9qbbVsf%2FvboDHQ4IRRkiCaWH6GZwuTm%2FaXzTPIrAlVKH5%2F0RNaaExh%2Byw4VhHEEsSkHSs4mw%2BmNAKnW2FnWuldPRw5kn3j05dqhv5fkQxdp74JTYQe5wex1YN5PCok147bSKEuieYlIgH%2FiP9NY3Ym0ZRUWuo0zL40XWv9X3L1tLg%2BYWY0fCdhDKHGgTuesmbVajzEhu%2Bg9iWLptoK63cZ4UfO8oOd6sOc09XF6lBy%2BmD%2BSVmOfDWUOzz5ELD16slDTUwml0MZsttBoLDzldUc0olkl5nCAl23UqraiUXeaeW3yLOvJn%2BAD%2B%2FM6PvmZF0VzDn%2FdrWBjqlAVRsuTd0UsfPEqyKlBgBcSJTbWkHvSj10wzTCIqvOoZ3bz1TWza43iHLTCs7u%2FHmvoKE0qG5FTOsMYhLZb5XFdRretuo%2F1BjdoZt%2Fr0dHWGT4LLkmfYrkFclUq7u0pvMr6%2FR4I41ZYdCD3cWpGAcOrCQxKJukkkU%2Fx4O0IOnvZKvXzK4OISHe4XPgWQrnAJcSBOFX%2BXRwhpFbVXOOC%2BtEw%2BR3JTElw%3D%3D&X-Amz-SignedHeaders=host&X-Amz-Signature=62752d180d23ea650ecc1c23e6059eaca2a5b803bcb014398c2055b86e91de90", "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 2304336, "full_name": "Eva Herget", "title": "Founder/CEO", "founder_bio": "Eva is the Co-Founder and CEO of Misprint.\n\nShe left her role as an Equity Analyst at Goldman Sachs to follow her lifelong passion for trading cards, reaching over $500k ARR within three months just by selling Pokemon cards. An alum of the University of Chicago, she studied Economics and East Asian Languages & Civilizations. Eva has published articles in PSA Pop Culture Magazine and TCGplayer Infinite, and also hosts a trading card-focused YouTube channel, Eva’s Binder.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/eva-herget/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ae4185125946b73da55f2b41ce57586f0763139d.jpg" } ], "jobs": [ { "id": 92866, "title": "Pokémon Content & Social Media Intern", "url": "https://www.ycombinator.com/companies/misprint/jobs/9GaKY2P-pokemon-content-social-media-intern", "location": "New York, NY, US / Remote (New York, NY, US)", "type": "Internship", "role": "Marketing", "role_type": null, "salary_range": "$18 - $22 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [ "Marketing design" ] }, { "id": 96319, "title": "Software Engineer ( Full Stack & Mobile / React Native )", "url": "https://www.ycombinator.com/companies/misprint/jobs/bJLJL6B-software-engineer-full-stack-mobile-react-native", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $180K", "equity_range": "0.20% - 0.60%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "PostgreSQL", "React", "React Native", "SQL", "Next.js", "Tailwind" ] } ], "news": [], "launches": [ { "id": 87975, "title": "Misprint - Robinhood, but make it Pokémon cards", "tagline": "Know Your True Value: Buy, Sell, and Research Collectibles 20x Faster", "body": "### **We Built Misprint: The First Transparent Marketplace for Collectibles**\n\n**TL;DR:** We’re [Eva](https://www.linkedin.com/in/eva-herget/) and [Jon](https://www.linkedin.com/in/jtjenkins18/), founders of [Misprint](https://www.misprint.com/) — the first **real-time bid/ask marketplace for trading cards** with **transparent pricing powered by machine learning.**\n\nThink of it like a **stock exchange for Pokemon cards**—finally, you can know your collectibles’ true value. Listing cards on our platform is 20x faster than competitors. Watch it happen:\n\n\n\n### **How it Started**\n\n\\\nEva here! I just wanted to share how this crazy idea came to be.\n\n\\\nI've always loved trading cards—both as a collector and a player. When most people grew out of it in middle school, for some reason I never did. In college, I started making [YouTube videos](https://www.youtube.com/c/evasbinder) breaking down the financial side of Pokémon cards, from undervalued sets to spreadsheets showing the expected values of sealed products. Turns out, other people were into this too! I ended up writing for [TCGplayer](https://infinite.tcgplayer.com/author/Eva-s-Binder) and PSA’s Pop Culture Magazine while working at Goldman Sachs, but as my side hustle selling cards grew, I realized I was making more from Pokémon than my day job. So in July 2024, **I quit my high-paying job at Goldman to go all-in on selling shiny cardboard**, before Misprint was even an idea.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfArFZA5gfAKqzCXiksQZntOGn7edSdz6UxKhKpkIEiIeIsZCadK774R1wvOgmjCXEE9zYZeVpuQ3RwklXt_BLisS-JmFfJ0bRDMLhKP4L3Tozf0z3lUCv1qcYJzZlHwY9r-WRA?key=1zrj1FJsKZGIBB6KR2xeQLPo)\n\n_Me getting a signed poster at the 2024 Pokemon World Championship! So cool!!_\\\n\\\nBy fall 2024, I was selling over **$40K/month** in cards with **$16-20K in profit** – but the process was painful. Sourcing inventory was inefficient, listing cards took forever, and pricing was a mess. I asked my best friend from Exeter, Jon, to help me build a tool to price cards faster. As we gathered millions of sales for 200K+ unique cards, we realized we weren’t just solving my problem – we were onto something bigger.\n\nThat’s when we decided to apply to YC (thanks to a push from my roommate, ty Prady!!). We got in, and this fun side project turned into our entire lives. Jon dropped out of his PhD, and Misprint was born – a real-time, transparent marketplace for trading cards. Now, we’re building the future of collectibles, starting with Pokemon.\\\n\\\nAnd now for the shill…\\\n\\\n**The Problem: Market Inefficiency**\n\nRight now, collectors rely on **scattered, inconsistent data** from eBay, auction houses, and forums to guess at card values. Marketplaces don’t provide real-time analytics, and pricing is often biased or outdated. This leads to **unclear pricing** and **inefficient auctions that sell below market value.**\n\n![uploaded image](/media/?type=post&id=87975&key=user_uploads/2304336/8c635927-b3ff-4ec4-9293-186d405f662a)\n\n### **How Misprint Fixes This**\n\n* **Transparent Pricing via ML** — We analyze **millions of data points** (auction results, grading data, past sales) to provide **real-time, data-backed card values.** No more guesswork.\n* **Two-Sided Exchange (Bid/Ask Marketplace)** — Buyers place **bids,** sellers list **asks,** and the platform **matches orders instantly.** This means **faster trades at fair prices** without the usual back-and-forth haggling.\n* **Fastest listing process** — Sellers can list 10+ cards with a single photo, over **20x faster** than competitors. (see demo above)\n\n![uploaded image](/media/?type=post&id=87975&key=user_uploads/2304336/e756f831-5d8b-47d8-a73f-d2a78ede5c09)\n\n### **Why We’re the Right Team**\n\n**Eva (CEO)** — **Left Goldman Sachs** to go all-in on trading cards, _before_ even considering applying to YC (or even really know what it was!) Hit **$500K ARR in 3 months** selling Pokémon cards. Runs the Pokemon-finance YouTube channel [Eva’s Binder.](https://www.youtube.com/c/evasbinder) Has written for PSA Pop Culture Magazine & TCGplayer Infinite. Absolutely addicted to shiny cardboard.\n\n\\\n**Jon (CTO)** — Mathematician turned machine learning expert. **Left his PhD** in ML to build cutting-edge pricing algorithms for collectibles. **Published researcher**, now leveraging deep expertise in modeling and optimization to redefine asset valuation in collectibles.\n\n![uploaded image](/media/?type=post&id=87975&key=user_uploads/2304336/429cebde-4bc5-4f46-b89b-e0319a7120f6)\n\n### **Our Ask**\n\n📢 **If you collect Pokémon, sports cards, or other collectibles—try out Misprint!** We’d love feedback from any collectors.\\\n📩 **If you know anyone in collectibles, fintech, or marketplaces, intro us!** Always looking to connect.\n\nFinally, here’s a bonus photo. If this doesn’t inspire confidence, we don’t know what will:\n\n![uploaded image](/media/?type=post&id=87975&key=user_uploads/2304336/ec5af821-69c1-4b42-ab86-a7467aca4a8c)\n\n# Reach out at:\n\n[eva@misprint.com](mailto:eva@misprint.com)\n\n[jon@misprint.com](mailto:jon@misprint.com)", "url": "https://www.ycombinator.com/launches/Msx-misprint-robinhood-but-make-it-pok-mon-cards", "votes": 56, "created_at": "2025-02-24T22:10:31.796Z" } ] }, { "id": 30303, "name": "AfterQuery", "slug": "afterquery", "former_names": [ "Cronus" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b63e52a3ec831660a5917dbb85f52cfd61f714e9.png", "website": "https://afterquery.com", "all_locations": "San Francisco, CA, USA", "long_description": "AfterQuery is an applied research lab curating data solutions for frontier foundation model development. Serving every frontier AI lab.", "one_liner": "Applied research lab curating data solutions for foundation model…", "team_size": 30, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1738219847, "tags": [ "B2B", "Data Labeling", "Big Data", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "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/afterquery", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/afterquery.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/afterquery", "x_url": "https://x.com/AfterQuery", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b63e52a3ec831660a5917dbb85f52cfd61f714e9.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": 2382342, "full_name": "Spencer Mateega", "title": "Founder/CEO", "founder_bio": "Building AfterQuery. Previously interned in technology private equity at Silver Lake, technology investment banking at Morgan Stanley, and software engineering at Meta and Google.\n\nB.S. in Finance and Statistics at Wharton and a M.S. Computer Science at Penn.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/spencermateega", "x_url": "https://x.com/spencermateega", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/afbc3ee1379a69d69496a3aa75ca799fcd63a8fd.jpg" }, { "user_id": 503252, "full_name": "Carlos Georgescu", "title": "Founder/CTO", "founder_bio": "Building AfterQuery. Previously interned at Citadel Securities (2x), Meta & Google as a software engineer. Past acquired ed-tech founder. \n\nStudied for a B.S. in Computer Science from the University of British Columbia. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/carlossgg/", "x_url": "https://x.com/CarlosGeorgescu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7e75fffea45bad544c5ba2ee3ea005b9731dda68.jpg" } ], "jobs": [ { "id": 75196, "title": "Software Engineer Intern", "url": "https://www.ycombinator.com/companies/afterquery/jobs/6a7szXP-software-engineer-intern", "location": "San Francisco, CA, US / Remote (US)", "type": "Internship", "role": "Engineering", "role_type": "Frontend", "salary_range": "$7.5K - $10K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 82771, "title": "Software Engineer - Applied AI / Platform", "url": "https://www.ycombinator.com/companies/afterquery/jobs/7tsT0ks-software-engineer-applied-ai-platform", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $200K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Node.js", "Python", "Next.js" ] }, { "id": 87019, "title": "Software Engineer - Hiring Infra (LatAM)", "url": "https://www.ycombinator.com/companies/afterquery/jobs/PohDLWh-software-engineer-hiring-infra-latam", "location": "San Francisco, CA, US / Remote (BR; CL; MX; AR; CO; PE)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$7K - $10K / monthly", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 91403, "title": "Strategic Projects Lead", "url": "https://www.ycombinator.com/companies/afterquery/jobs/iTt13cJ-strategic-projects-lead", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$200K - $400K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 91406, "title": "Technical Strategic Projects Intern", "url": "https://www.ycombinator.com/companies/afterquery/jobs/8NagVRQ-technical-strategic-projects-intern", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$90K", "equity_range": "", "experience": "", "visa": "US citizen/visa only", "skills": [] }, { "id": 91408, "title": "Strategic Projects Associate", "url": "https://www.ycombinator.com/companies/afterquery/jobs/qwNKclV-strategic-projects-associate", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$200K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 91409, "title": "Strategic Projects Intern", "url": "https://www.ycombinator.com/companies/afterquery/jobs/Ep6eNax-strategic-projects-intern", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$90K - $90K", "equity_range": "", "experience": "", "visa": "US citizen/visa only", "skills": [] }, { "id": 91415, "title": "Technical Strategic Projects Associate", "url": "https://www.ycombinator.com/companies/afterquery/jobs/ziJE7ZY-technical-strategic-projects-associate", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$200K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 91417, "title": "Marketing Lead", "url": "https://www.ycombinator.com/companies/afterquery/jobs/Ww01atn-marketing-lead", "location": "San Francisco", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$160K - $220K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 91418, "title": "Technical Strategic Projects Lead", "url": "https://www.ycombinator.com/companies/afterquery/jobs/t0uj8SF-technical-strategic-projects-lead", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$200K - $400K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 91613, "title": "Senior Software Engineer, Infrastructure & Platform", "url": "https://www.ycombinator.com/companies/afterquery/jobs/TU2SAvz-senior-software-engineer-infrastructure-platform", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$220K - $280K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "AfterQuery Becomes YC’s Fastest Unicorn At $3.2 Billion", "url": "https://www.forbes.com/sites/annatong/2026/09/01/afterquery-becomes-ycs-fastest-unicorn-at-32-billion/", "date": "Sep 01, 2026" }, { "title": "This 23 Year-Old’s New AI Data Company Has Already Hit A $100 Million Run Rate", "url": "https://www.forbes.com/sites/annatong/2026/04/09/this-23-year-olds-new-ai-data-company-has-already-hit-a-100-million-run-rate/", "date": "Apr 09, 2026" } ], "launches": [ { "id": 87549, "title": "AfterQuery - High-quality AI starts with high-quality human data", "tagline": "Powering AI models with expert-level human data", "body": "## **TL;DR**\n\nAI models need high-quality training data to effectively automate complex professional tasks - we provide that data. If you are building an AI model or need fine-tuning data for your agent, we’d love to help. \n\n\\------------\n\n## **Why We’re Building AfterQuery**\n\nThere is a dearth of high-quality training data.\n\nCurrent AI models are trained to be smart but are not trained on the work of actual professionals in many fields. \n\nFor example, current models are largely unusable to professionals working in finance (private equity, hedge funds, investment banks, etc). See our [paper](https://arxiv.org/pdf/2501.18062), where LLMs fail 60% of realistic daily tasks – but with some fine-tuning on high-quality training data, significantly improve.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeJndLBLBOQJVpf7yPJNA2WFddpffkxqdE1rFqmEfxo3FRmcSCVWqHnsOR793XuN1iCUm-ibeWfFj-FV_3FaswWhXetsEhembFLjln5Lwc9LA0tJV6uNq7MPWyjdDq7FTZSRdmekQ?key=_udDbu5NRw5fwLzMYyqM9i52)\n\n_Chart showing LLM performance against FinanceQA_\n\nAnd the lack of high-quality training data is everywhere:\n\n* Domain-specific AI (legal, consulting, healthcare, etc.)\n* Multimodal data (audio, multilingual, etc.)\n* Foundational models looking to push the boundary on reasoning and grading\n\n## **Solution**\n\nWe are building a platform to onboard experts to work on custom datasets. Think working professionals at top firms and the smartest students in various subjects (PhDs). Then, whenever you have a request for a certain type of data, we will construct and lead a team to produce:\n\n* Post-training / fine-tuning data\n* Human-Led Reinforcement Learning (RLHF) data\n* Custom benchmarks\n\nYou will know the people making your dataset and their qualifications while we coordinate with you to ensure quality standards. We save you time and energy, so you can focus on the model and not the data.\n\n## **Example Datasets We Provide**\n\n_Foundational Model Advancing Coding Capabilities:_\n\n* New data structures and algorithms problems with test cases and step-by-step answer reasoning \n* Computer architecture and system design reasoning\n* Performance optimization code with benchmarks and reasoning\n\n_Enterprise SaaS Company Building Internal AI Developer Tool:_\n\n* Codebase-wide code snippets with corresponding refactoring suggestions and explanations \n* System and runtime errors paired with step-by-step debugging solutions \n* Database query optimization solutions and reasoning steps\n\n_Startup Building an AI Agent for Law:_\n\n* Answered legal questions with expert reasoning\n* Computer use data for common tasks on legal project management software\n* Contract redlines with expert corrections\n\n**If AI is one day to replace jobs entirely, it can’t just be good, it needs to be near perfect. This transformation will require an immense amount of high-quality training data.**\n\n## **Our Ask**\n\n* Are you **working on a foundational model** advancing multimodal applications, nuanced reasoning, or domain-specific expertise?\n* Are you **implementing AI in a specialized domain** where current models lack expertise (e.g., medicine, legal, finance, software, government, healthcare)?\n\nWe would love to meet you! \n\n## **Our Team**\n\nCarlos and Spencer first met in high school at a summer program at Google and then interned together at Meta. Danny and Spencer met in high school, where they built a startup. They then both got into Wharton, sold that startup, and became roommates.\n\n[Carlos](https://www.linkedin.com/in/carlossgg/) has built multiple software businesses on his own, exited an ed-tech startup, and has worked as a software engineer at Citadel Securities. He’s won the largest possible academic scholarship in all of Canada, competed in state and national sailing competitions, and has 8x his bankroll in poker.\n\n[Spencer](https://www.linkedin.com/in/spencermateega) wrote an award-winning research paper and interned at a private equity firm in high school, before deciding to intern at Meta (SWE), Google (SWE), Morgan Stanley (IB), and Silver Lake (PE) in the next 3 years. He was the sole summer analyst at Silver Lake globally and has programmed numerous apps in his spare time (and sold some of them). He trains for half marathons and lifts in his free time between completing a master’s in computer science concurrently with his Wharton undergraduate degree.\n\n[Danny](https://www.linkedin.com/in/danny1898/) competed and won international competitions in public speaking during high school while pursuing his interest in AI, winning an international Microsoft AI competition and conducting research at a machine learning neuroscience lab. He then learned how people build real estate, from grocery stores to billion-dollar luxury hotels, eventually working on the largest real estate IPO in history and the largest IPO in 2024. He also really likes movies and attended the world's largest film festival, catching premieres of films like Anora and The Substance.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfkN7pvcMyTHjf5fZe7qJrF9xiyAvI0yAJ0PHNDdxWcOcU0gw5cDFUzOq20x68YJeb40Pk8dPXsNGsPVSnhYNZu3AHEAoZHcSTQ3nYyLYvMNcthHoAkoERsmzARwkGFS-fRnslLNw?key=_udDbu5NRw5fwLzMYyqM9i52)\n\n", "url": "https://www.ycombinator.com/launches/Mm5-afterquery-high-quality-ai-starts-with-high-quality-human-data", "votes": 114, "created_at": "2025-02-10T21:58:10.460Z" } ] }, { "id": 30304, "name": "Mastra", "slug": "mastra", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6e5f319cbd11b23e8938be90ed120209a914c0a.png", "website": "https://mastra.ai", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Mastra is the easiest way to build a production AI application, built by the team that brought you Gatsby. We provide a complete set of AI primitives: workflows for complex operations, agents for autonomous decisions, RAG for knowledge integration, and evals for quality & accuracy. Mastra is open-source, modular, and built in Typescript for product developers. You can deploy Mastra on any cloud, and it gives you a straightforward syntax to solve the hardest problems building with AI: human-in-the-loop workflows, agent memory and tool selection, and output quality. ", "one_liner": "The Javascript framework for building AI agents, from the Gatsby devs", "team_size": 30, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1737136768, "tags": [ "Developer Tools", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "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/mastra", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/mastra.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/mastra-ai/", "x_url": "https://x.com/mastra_ai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/mastra-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6e5f319cbd11b23e8938be90ed120209a914c0a.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": 153911, "full_name": "Sam Bhagwat", "title": "Founder/CEO", "founder_bio": "Founder/CEO of Mastra. Spent last ~8yrs as cofounder of Gatsby.js, an open-source React website framework, scaled to $5M ARR, sold to Netlify. Eng <20 at Zenefits (W13) and Plangrid (W12). Spent two years knocking doors. Stanford '11.", "is_active": true, "linkedin_url": "https://linkedin.com/in/sambhagwat", "x_url": "https://twitter.com/calcsam", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cb20d185b7498f7b2b45dd5684efb41e9758bedc.jpg" }, { "user_id": 2249037, "full_name": "Abhi Aiyer", "title": "Founder/CTO", "founder_bio": "Founder/CTO of Mastra. Principal eng & lead of >100 person eng org at Netlify. Built Gatsby Cloud infra that ran 10s of thousands of build nodes, served billions of files, and 100s of TB of monthly bandwidth.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/abhi-aiyer-aa41bb42/", "x_url": "https://x.com/abhiaiyer", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7f1fde9e247efbf58a998b3b00f52c7ff79a8e4e.jpg" }, { "user_id": 2131238, "full_name": "Shane Thomas", "title": "Founder", "founder_bio": "Founder/CPO of Mastra. Prev: built Audiofeed (AI podcasting). Staff eng / head of product @ Gatsby. 15+ years in open source. State wrestling champion.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/smthomas3", "x_url": "https://twitter.com/smthomas3", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/77ec1970e36a2134f3acd6b6ac96dc239f48c011.jpg" } ], "jobs": [], "news": [ { "title": "We raised a $22M Series A to help every developer build agents - Mastra Blog", "url": "https://mastra.ai/blog/series-a", "date": "Apr 09, 2026" } ], "launches": [ { "id": 88086, "title": "Mastra: the open-source JavaScript framework for building agents", "tagline": "If you hate Langchain, you'll love Mastra :) ", "body": "Hey everyone 🙂 we’re Sam, Shane and Abhi.\n\n![mastra co-founders](https://mastra.ai/_next/image?url=%2Fabout%2Fmastra-founders.png&w=1200&q=75)\n\n**What we’re building:** Mastra () is an open-source JavaScript SDK for building agents on top of Vercel’s AI SDK.\n\n\n\n**Our backstory:** Previously, we built Gatsby, the open-source React web framework.\n\nWe noticed our friends building AI applications getting stuck debugging prompts, figuring out why their agents called (or didn’t call) tools, and writing lots of custom memory retrieval logic.\n\nIn October, we started building Mastra, and last week we went viral on Hacker News and Github and went from 1,500 to 7,500 stars.\n\n**Mastra use-cases:** Fireworks AI is using us to build agentic workflows. YC companies are using Mastra to automate support, build CAD diagrams, scrape the web for contact info, automate medical transcriptions, generate financial documents, and create code generation products.\n\nMastra allows you to create workflow graphs that can suspend/resume, build RAG pipelines, write evals, give agents memory, create multi-agent workflows, and test it all in a local playground.\n\nHere’s a weather agent and the agent playground (with tracing built in!):\n\n![uploaded image](/media/?type=post&id=88086&key=user_uploads/153911/2af3d557-eda5-4e84-9e3d-8ca9f89ba3b4)\n\nYou can deploy Mastra agents and workflows to a serverless platform like Vercel, Cloudflare, Netlify, any cloud service that can run Node.js, or our [own hosting platform](https://mastra.ai/waitlist) with evals and tracing.\n\n**How to get started:** Just head over to the command line and install:`npm create mastra`\n\nHappy building 🙂 \\\n\\\nPS: we’ve spent a lot of time this batch doing AI engineering whiteboarding sessions with other batch startups, walking through architecture and best practices, so we decided to write a book to help people get up to speed faster: [Principles of Building AI Agents](https://www.amazon.com/dp/B0DYH5GHDD/ref=tmm_pap_swatch_0?_encoding=UTF8&dib_tag=se&dib=eyJ2IjoiMSJ9.xOCgmaLViBdLwSFuscVMKTz0vTJBUua4OTJbmgz-H-ZCHIxUUBdjGogX4uyU7T6V.kAblDRv1ODXGF3V-QgC6-AVQCrcuYiDicC-BYx4cYXc&qid=1740435997&sr=8-1).\n\nFollow [@mastra_ai](https://twitter.com/mastra_ai) on Twitter/X and tweet at us and we’ll get you a physical copy!\n\n![uploaded image](/media/?type=post&id=88086&key=user_uploads/153911/3fe20638-050c-463d-b8cd-f23b7ce91592)\n\n", "url": "https://www.ycombinator.com/launches/Muk-mastra-the-open-source-javascript-framework-for-building-agents", "votes": 172, "created_at": "2025-02-27T15:40:16.256Z" } ] }, { "id": 30305, "name": "Forge Automation", "slug": "forge-automation", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/83675e4cb8108f5003548d5dd5c6e5ee56ede4aa.png", "website": "https://www.forgeautomation.ca", "all_locations": "Toronto, ON, Canada", "long_description": "Forge Automation runs software enabled factories that deliver custom metal parts in four days or less. Instead of mechanical engineers having to wait two to three weeks for their low volume CNC parts, they can simply upload a CAD model on our platform and we will ship it out in four days or less. We aim to give mechanical engineers the \"Amazon experience\" for custom metal parts.", "one_liner": "Software Enabled CNC Parts Supplier", "team_size": 21, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1736647566, "tags": [ "Hard Tech", "Hardware", "Robotics", "Manufacturing", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "Canada", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/forge-automation", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/forge-automation.json", "year_founded": 2022, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/forge-automation", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/83675e4cb8108f5003548d5dd5c6e5ee56ede4aa.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": 1502123, "full_name": "Timothy Seto", "title": "Founder/CEO", "founder_bio": "Co-founder + CEO @ Forge Automation | I make metal parts. Send me CAD, I will make it in the real world.\n\nI went to the University of Waterloo Engineering, and interned at Apple, Formlabs and iRobot. I have been machining for over 10 years and I love building robots and machines. I graduated in the summer of 2022 and co-founded Forge Automation right after.", "is_active": true, "linkedin_url": "https://linkedin.com/in/timmy-seto", "x_url": "https://x.com/TimmySeto", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e323b40b6256f205c7b5e8cf0bc59216b4541428.jpg" }, { "user_id": 1631233, "full_name": "Walter Raftus", "title": "Founder/CTO", "founder_bio": "Co-Founder + CTO @ Forge Automation | I love computers, math, and big specialized machines controlled with software!\n\nI went to the University of Waterloo for AI + Mechatronics Engineering, and interned at Nvidia, Trexo Robotics (W19), and Intel PSG working on a bunch of different software ranging from system software, deep learning, and embedded control. I graduated in the summer of 2022 and co-founded Forge Automation right after!", "is_active": true, "linkedin_url": "https://linkedin.com/in/walterraftus", "x_url": "https://x.com/walter_raftus", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0d7ab215db8f29667413c93869cec9b8fdba5150.jpg" } ], "jobs": [ { "id": 103180, "title": "Manufacturing Software Engineer", "url": "https://www.ycombinator.com/companies/forge-automation/jobs/GAgHVzO-manufacturing-software-engineer", "location": "Toronto, ON, CA / Toronto, Ontario, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100 - $160 CAD", "equity_range": "0.10% - 0.30%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 87618, "title": "Forge Automation - CNC parts in 4 days or less", "tagline": "Forge Automation runs software enabled factories that deliver quickturn on-demand CNC parts.", "body": "**TLDR**\n\nForge Automation runs software enabled factories that deliver quickturn on-demand CNC parts.  For customers who prioritize consistent and fast lead times, Forge offers the option to reserve dedicated CNC machines on their floor, giving you a guaranteed SLA on production time. Alternatively, customers can order parts on-demand at a higher price. We’ve shipped thousands of parts to engineers all over North America ranging from Fortune 10 companies to start-ups.\n\n**For an instant quote, upload a CAD file at** [**www.forgejobshop.com**](http://www.forgejobshop.com)!\\\n\\\n[**Check out our Factory!**](https://www.youtube.com/watch?v=KSKWPaM_Yno) \n\n**Problem:**\n\nHardware development is hard because it takes 2-3 weeks to receive prototype parts after placing an order with a supplier. For those in the software world, imagine having to wait 2 weeks to compile your code - you would hate your life and nothing would get done! Engineers just want a CNC service that is quick, affordable, and reliable! \n\n**Introducing Forge Automation:**\n\nWe are a North American based machine shop that makes custom, low volume CNC parts. Over the past two years, we’ve shipped thousands of parts to engineers all over North America ranging from Fortune 10 companies to brand new start-ups.\n\nAlong with the high quality and fast lead times, customers love our service because it’s the easiest way to order parts online. **Engineers can ditch the drawing and add manufacturing intent directly onto their CAD model within our platform.** Here's a quick demo showing how easy it is to submit an order.\n\n[**Quoting Demo:**](https://www.youtube.com/watch?v=bkJ73dUJ1gs)\n\nWe are excited to launch a new product – **Forge Reserve Machines**. Customers can get dedicated access to their own CNC machine on Forge's shop floor. Forge handles everything - purchasing and maintaining a 3 axis mill, plus providing one of their skilled machinist to make your parts. Forge Reserved Machines represent an SLA guaranteeing you 4 day production times so your parts are never late!\n\n**Our Ask - If you need parts made:**\n\nIt's easy to get started! Upload a CAD model to [**www.forgejobshop.com**](http://www.forgejobshop.com), receive an instant quote, checkout online, and have a part in your hand lightning fast!\n\nIf you want fast, reliable, and guaranteed service on your CNC parts, check out our [**Reserved Machine**](https://www.forgejobshop.com/docs/reserve) option.\n\n![uploaded image](/media/?type=post&id=87618&key=user_uploads/1502123/01702dfd-885e-4894-a3e6-420115ecedc5)\n\n", "url": "https://www.ycombinator.com/launches/MnC-forge-automation-cnc-parts-in-4-days-or-less", "votes": 37, "created_at": "2025-02-12T19:12:07.695Z" } ] }, { "id": 30307, "name": "Archon", "slug": "archon", "former_names": [ "NEXUS" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a035400f6acd84a35dea2f9fb7832b054c02ed12.png", "website": "https://archon.inc", "all_locations": "San Francisco, CA, USA", "long_description": "Archon helps software companies sell to the government by cutting the required federal compliance timeline (called FedRAMP) down from 16 to 6 months and cuts costs by $1M per company. \r\n\r\nEmail us at inquiries@archon.inc", "one_liner": "We help software companies sell to government.", "team_size": 3, "industry": "Government", "subindustry": "Government", "launched_at": 1738095676, "tags": [ "GovTech", "Compliance", "Cybersecurity", "Cloud Computing" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Government" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "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 came to YC planning to build AI agents that would speed up government workflows. But, we realized that we’d be spending more of our time on government compliance, than on our actual product. Currently, companies seeking FedRAMP certification face two bad options: spend millions of dollars on consultants, or use loophole solutions that lock them into unfavorable terms. We're building the solution we wish existed - a straightforward path that helps software companies build lasting government partnerships." } ], "url": "https://www.ycombinator.com/companies/archon", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/archon.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/getarchon/", "x_url": "https://x.com/archoninc", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/archon-technologies-9074", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a035400f6acd84a35dea2f9fb7832b054c02ed12.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": 1220402, "full_name": "George Parks", "title": "Founder/CEO", "founder_bio": "CEO of Archon. Previously a tech policy analyst at the U.S. Department of State, informing diplomats on trends in AI, Quantum, and VR/XR. Originally a software engineering consultant. Studied CS at Georgia Tech.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/george-parks/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a00f68f05f36874e6552433e262e98e436a1173e.jpg" } ], "jobs": [ { "id": 77338, "title": "Founding Engineer, Infrastructure", "url": "https://www.ycombinator.com/companies/archon/jobs/iSDasJM-founding-engineer-infrastructure", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Devops", "salary_range": "$130K - $210K", "equity_range": "0.50% - 1.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Microsoft Azure", "Groovy", "Kubernetes" ] }, { "id": 77339, "title": "Software Engineer, Security", "url": "https://www.ycombinator.com/companies/archon/jobs/n9cvKhD-software-engineer-security", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$120K - $170K", "equity_range": "0.25% - 0.75%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Docker", "Software Security" ] }, { "id": 77340, "title": "Software Engineer, Full Stack", "url": "https://www.ycombinator.com/companies/archon/jobs/R6DSmps-software-engineer-full-stack", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $170K", "equity_range": "0.25% - 0.75%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 87386, "title": "Archon: Fast-track selling software to government", "tagline": "Get the cybersecurity requirements you need to sell software to government.", "body": "We’re George and Sam—co-founders of Archon, and former government staffers. \n\n**TL;DR:** Our free-to-integrate SDK gives you all the cybersecurity requirements you need to sell to government faster and cheaper. This saves companies $1M (2/3rds of the cost) and reduces the timeline from 16 to 6 months. \n\n**Problem: The government software market is locked behind an opaque, million-dollar compliance process (called FedRAMP) that favors big incumbents with lots of time.**\n\n**Solution:** Our SDK provides compliant-out-of-the-box implementations of all the compliance features you need to sell to government – authentication, logging, access control, etc. You can integrate it into your existing codebase in a week, and we handle all of the obscure compliance restrictions so you don’t have to. \n\n![uploaded image](/media/?type=post&id=87386&key=user_uploads/2110890/2caad249-0936-4910-9a4e-12ad4425e4f5)\n\nIf you want to sell your software to government agencies, start exploring our SDK [here.](https://archon.inc/docs)\n\n\\\n**We condense the FedRAMP process into 4 steps.**\n\n1. Integrate our free SDK (what we’re launching today)\n2. Self-serve onboarding; then we prepare your 700-page security package\n3. Get an audit\n4. Wait for the Federal authorization board to approve your audit\n\nA typical Series A startup spends $1.5M on consultants and 1.5 years on the first 2 steps. Archon’s SDK cuts the integration timeline down to 1 week. We also know many startups that never sold their software to the government because the barrier was just too high. **Yet, the government’s IT spending accounts for 20% of the entire U.S. software market.** It’s our mission to eliminate these compliance hurdles and bring much-needed innovation from small tech to the federal sector. \n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcz8xKiHOkcrclWYcEfAY2gc_hB1s4NlkbyEpQMLR9RNfngWF5EKYxG6N7b67Ix_5A7xxplmqU3xUvP65S-RAl4BSWsBuHJ0sy1duVwFAvZXXZ7xTPG9XPF4LZufVFMc5eQ-a-qrQ?key=gLGrgddQZLJJWptIH4zDOWpy)\n\n**Context:**\n\nWe came to YC planning to build AI agents that would speed up government workflows. But, we realized that we’d be spending more of our time on government compliance, than on our actual product. Currently, companies seeking FedRAMP certification face two bad options: spend millions of dollars on consultants, or use loophole solutions that lock them into unfavorable terms. We're building the solution we wish existed - a straightforward path that helps software companies build lasting government partnerships.\n\n**Team:**\n\n* **George Parks:** Advised diplomats on emerging technologies at State.\n* **Sam Jung:** Previously at State, advised the U.S. AI Safety Institute.\n\n# **OUR ASK:**\n\n* **Anyone looking to sell software to the government, or get FedRAMP**, we’d be grateful for an introduction. Email us at [founders@archon.inc](mailto:founders@archon.inc)\n* **If you want to sell to government, what technology do you use?** Our SDK is only available for NodeJS to start. Let us know what tech stack you use with [this form.](https://forms.office.com/r/m5vPfmqVP3)", "url": "https://www.ycombinator.com/launches/MjS-archon-fast-track-selling-software-to-government", "votes": 26, "created_at": "2025-02-03T21:39:28.653Z" } ] }, { "id": 30312, "name": "Retrofit", "slug": "retrofit", "former_names": [ "Retrofit AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ffa47e801d15b5397dd78718f7ca873d429e85a4.png", "website": "https://www.retrofit.shop/", "all_locations": "New York City, NY, USA", "long_description": "Retrofit is reimagining the future of secondhand shopping. We are a new vintage marketplace that uses AI agents to curate and personalize in-demand, trending inventory. We analyze social media trends, sales data, and personal style to find the best vintage pieces that fit an individual’s unique taste, size, and budget.", "one_liner": "A vintage marketplace curated by AI", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer -> Apparel and Cosmetics", "launched_at": 1737499627, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Consumer", "Apparel and Cosmetics" ], "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/retrofit", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/retrofit.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/106068920/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ffa47e801d15b5397dd78718f7ca873d429e85a4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1336189, "full_name": "Sandra Lifshits", "title": "Founder/CEO", "founder_bio": "Founder of Retrofit. Previously, product @ ecommerce startups, Stanford MBA, and Brown. \n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sandra-lifshits-a7a60284/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d0c17d95d16b014dd8e5aa604b987ed45797cdbf.jpg" } ], "jobs": [], "news": [ { "title": "10 startups to watch from Y Combinator's W25 Demo Day | TechCrunch", "url": "https://techcrunch.com/2025/03/13/10-startups-to-watch-from-y-combinators-w25-demo-day/?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cubGlua2VkaW4uY29tLw&guce_referrer_sig=AQAAAKRhhRU81SJR9MjDA1oORT3JrHH7_6qXHGYMw1lx603cZR1iel-k0hgHzTXY95qgLDIMvrldLFNZeh7oMXrSeob4aRnKvxGfMS9Zy7VyGftx3ezbi-YCcxMNR2zUZbUz5iZy5AexfG5PYmFRliwCxbThSxdBJu_v1yrayRWnwSu5", "date": "Mar 13, 2025" } ], "launches": [ { "id": 88315, "title": "Retrofit — a vintage marketplace curated by AI 🛍️", "tagline": "The hottest vintage inventory handpicked for you ", "body": "Hey everyone! We’re [Sandra](https://www.linkedin.com/in/sandra-lifshits/) and [Maddy](https://www.linkedin.com/in/mjyip/), cofounders of [Retrofit](https://www.retrofit.shop/)! 👋\n\n**TL;DR: **[**Retrofit**](https://www.retrofit.shop/)** is a vintage marketplace powered by AI. We use AI agents to curate and personalize in-demand, trending inventory. We analyze social media trends, sales data, and your personal style to find the best vintage pieces for you—so you don’t have to dig through thousands of listings to find vintage gems.**\n\n\n\n# 🚨**The Problem:**\n\nThe secondhand apparel market is booming — it’s estimated at $43 billion in 2024 in the US and expected to grow to over $125 billion by 2034. However the existing players have not kept up with this demand.\n\nShoppers want to buy more vintage online, but many don’t because the selection is **overwhelming**, inventory is **low quality**, and online secondhand shopping **feels like work**. Shopping secondhand often means sifting through garbage inventory and being an expert to find that incredible one-of-a-kind vintage gem. But this can finally change… \n\n# ⚒️**The Solution:**\n\nWe are building a new curated vintage marketplace powered by AI.\n\nOur AI agents sift through hundreds of thousands of listings from vintage sellers across the country, to find the **best inventory.** We rely on sales and trends data to determine what type of items people are looking for and then add only the best inventory based on factors such as brand, price, materials, and condition. \n\nOur inventory is **personalized to your style and needs**. Give us your style pinterest board or other inspo photos and we will personalize your recommendations. If we don’t have exactly what you are looking for right now, you can tell us what you are looking for and our AI agents will find it for you. \n\n# **🙌 Our Asks:**\n\n✅ If you love vintage or are vintage-curious, **check out our inventory at **[**Retrofit**](https://www.retrofit.shop/)**.** If you are looking for something specific, submit a request! \n\n✅If you know someone who loves vintage, **help us spread the word**.\n\n✅ **Follow us** on [Linkedin](https://www.linkedin.com/company/106068920/), [Instagram](https://www.instagram.com/retrofit.ai), and [Tiktok](https://www.tiktok.com/@retrofit.ai).\n\n![uploaded image](/media/?type=post&id=88315&key=user_uploads/1336189/3749b259-e0ea-4076-a908-b642dd629af2)\n\n# **🤝The Team**\n\nSandra gained **hands-on experience** by volunteering at several vintage stores in New York to understand their operations and vintage shopper’s behaviors. Her background is as a product leader at two different ecommerce startups. She met Maddy while getting her **MBA at Stanford**. Maddy brings her expertise in **computer vision** from her time at **Google** and **Stanford CS**. She led two computer vision patents during her time at Google.\n\nThank you for your support! You can always reach us at [sandra@retrofit.shop](mailto:sandra@retrofit.shop)\n\n![uploaded image](/media/?type=post&id=88315&key=user_uploads/1336189/f0be818d-45ed-42eb-beef-5ce408c0ef10)\n\n", "url": "https://www.ycombinator.com/launches/MyR-retrofit-a-vintage-marketplace-curated-by-ai", "votes": 93, "created_at": "2025-03-06T17:39:17.010Z" } ] }, { "id": 30314, "name": "Pinch", "slug": "pinch", "former_names": [ "Duo Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c2b1286659e2efa47062a920134725070dce12f1.png", "website": "https://startpinch.com", "all_locations": "VC, Spain; Remote", "long_description": "Video/audio dubbing that preserves your tone and timing. Real-time speech translation for any online meeting.", "one_liner": "AI Voice Translation for live conversations or media", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1737597498, "tags": [ "Telecommunications", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "Spain", "Europe", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/pinch", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/pinch.json", "year_founded": 2025, "city": null, "country": "ES", "linkedin_url": "https://www.linkedin.com/company/105586682", "x_url": "https://x.com/startpinch", "fb_url": null, "cb_url": null, "github_url": "https://github.com/pinch-eng", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c2b1286659e2efa47062a920134725070dce12f1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/b9f61de36e6d518a1d8f6da8659e52f8d92e9663.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/fc76f45db3f73049d4d8127fd885077788c52abb.png" ], "primary_partner": null, "founders": [ { "user_id": 1002282, "full_name": "Christian Safka", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO @ Pinch\n\nPreviously founding engineer -> Head of ML @ Tavus (S21)\nEx-PM @ Microsoft\nZero to one software and ML products for 10 years", "is_active": true, "linkedin_url": "https://linkedin.com/in/christiansafka", "x_url": "https://x.com/christiansafka", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f1bb7ecdfd2f6727a89c8cfc8b7140547afef6f4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 93183, "title": "Pinch Desktop - Voice translation for real-time conversations", "tagline": "Attend meetings in any language, on any platform.", "body": "Hey everyone! We just launched our Mac app designed to make every meeting as natural as it would be in your native language.  The app transcribes and translates all audio you hear, and allows you to decide when to translate your voice as speech into the meeting.\n\nIt's invisible to others (like Granola), and works everywhere without any meeting bots. Try it at [**startpinch.com**](http://startpinch.com)!\n\nHere’s a live demo, without cuts: \\\n[**https://youtu.be/ltM2p-SosLc**](https://youtu.be/ltM2p-SosLc)\n\n**Our story**\n\nWhen we first launched Pinch, we shipped a video conferencing solution with a human-like AI interpreter that was an active participant in your call. Our users hold the spacebar down while speaking to the translator, and when they release the spacebar the translator speaks out to the entire room.\n\nThat design was intentional - it puts the task of context selection on the user and prevents people from interrupting each other (only one person can press spacebar at a time).  It also comes with heavy tradeoffs, such as longer meeting lengths and friction with first-time users.\n\n**Why we're excited about the desktop app:**\n\n1. No vendor lock-in, invisible to others, and works everywhere - just select Pinch Microphone.\n2. Fast transcription+translation means you can understand what's going on in real-time and interrupt where necessary.\n3. After you start speaking, the others will hear your translated audio as fast as we can generate it, without interrupting your flow.\n\nThe last few months, our focus has been on building a translation model and UX that would support fast and accurate cross-lingual meetings, and we’re incredibly excited to open the public beta today.\n\nJoin the MacOS beta at [**startpinch.com**](http://startpinch.com)\n\n![uploaded image](/media/?type=post&id=93183&key=user_uploads/1002282/795fd05a-a176-44e2-ba6a-c6afc13cd20f)\n\n", "url": "https://www.ycombinator.com/launches/OEx-pinch-desktop-voice-translation-for-real-time-conversations", "votes": 19, "created_at": "2025-08-20T14:28:50.672Z" }, { "id": 87820, "title": "Pinch - Immersive real-time translation", "tagline": "Video conferencing with real-time voice translation", "body": "Hey everyone, we’re Christian and Keyu — co-founders of [Pinch](https://startpinch.com).\\\n\\\n**TL;DR**\\\nPinch is an online meeting platform that enables immersive international video calls. Our platform translates your voice in real-time so you can speak and understand over 30 languages. Watch our demo [here](https://youtu.be/Cu7KlbZ3gjw), or try it for free on our [website](https://startpinch.com).\n\n**The problem**\\\nWe’ve felt first-hand how language barriers can actively limit a team’s productivity. High bandwidth communication is vital for collaboration, and while we’ve all moved from IRC → VoIP → Video Conferencing, the existing translation tools still operate in low-bandwidth mediums (mostly caption transcriptions). This makes conversations difficult because 1) converting audio to text before translation is slower, 2) you lose all information of how something was said, and 3) you’re no longer having a face-to-face meeting.\\\n\\\n**Our solution**\\\nWe knew there had to be a better way to connect across different languages and cultures, so we started building Pinch. Shortly after, we found out how challenging translation truly was.  Balancing latency/accuracy for chunk-based audio translation, capturing inflection and tonality per statement, handling culturally specific phrasing, and making a seamless meeting experience are all unsolved problems we're taking on. \\\n\\\nWe’re currently in public beta with our own meeting platform, supporting live use-cases in personal connections (e.g. meeting in-laws for the first time), as well as business (foreign clients, international sales, inter-team comms.).\\\n\\\n👥 **Our team**\\\n[Christian](https://linkedin.com/in/christiansafka) — 10 years of experience launching software and AI-native products 0→1, ex-TPM at Microsoft and most recently the Head of ML at Tavus (YC S21).\\\n[Keyu](https://www.linkedin.com/in/keyu-chen-3a3026143/) — Multimodal and computer vision researcher for over 7 years, working across academia and industry.\n\n![uploaded image](/media/?type=post&id=87820&key=user_uploads/89898/790a942f-0522-46b9-ab92-ce14b69c8abf)\n\nWe met at Tavus, and together have led engineering, research, and product teams from seven countries!\\\n\\\nAfter a long experience building conversation AI video/audio, we're incredibly excited to see what these technologies can unlock for human<>human communication.\\\n\\\n🙏 **Our Ask**\n\n* **Try Pinch!** You can demo it alone or invite a friend to a call for the full experience: \n* **Share this post!** Do you know anyone in your network facing language barriers?\n* **Let us know how we’re doing.** You can reach us at [founders@startpinch.com](mailto:founders@startpinch.com)\n\n![uploaded image](/media/?type=post&id=87820&key=user_uploads/1002282/e8fe6fc5-8ab5-4688-a342-98024c780599)\n\n", "url": "https://www.ycombinator.com/launches/MqS-pinch-immersive-real-time-translation", "votes": 30, "created_at": "2025-02-19T16:53:02.664Z" } ] }, { "id": 30315, "name": "Optifye.ai", "slug": "optifye-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d86ffdce2296389239f29bc23023bc7867815208.png", "website": "https://www.optifye.ai", "all_locations": "New Delhi, DL, India", "long_description": "Optifye.ai does AI performance monitoring for factory workers\r\n\r\nWe place cameras in factories and use vision AI to tell supervisors who's working and who's not in real time. \r\n\r\nThe shop floor has historically been a black box. With Optifye, manufacturing companies can now accurately measure worker output and boost efficiency!", "one_liner": "AI performance monitoring for factory workers", "team_size": 8, "industry": "B2B", "subindustry": "B2B", "launched_at": 1739567184, "tags": [ "Hard Tech", "Computer Vision", "Manufacturing" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "India", "South Asia" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/optifye-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/optifye-ai.json", "year_founded": 2024, "city": "New Delhi", "country": "IN", "linkedin_url": "https://www.linkedin.com/company/optifye-ai/?viewAsMember=true", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d86ffdce2296389239f29bc23023bc7867815208.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": 1289176, "full_name": "Vivaan Baid", "title": "Founder/CEO", "founder_bio": "I studied computer science & psychology at Duke. My family has been running a manufacturing company since before I was born. I've been around assembly lines for as long as I can remember.\n\nAt Optifye, I am using my expertise in computer vision to enable supervisors to solve shop-floor inefficiencies in real-time.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vivaan-baid-119415177/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f9c6b9b6347741a6d9c5e1f2925f6fe792d6e654.jpg" }, { "user_id": 2122711, "full_name": "Kushal Mohta", "title": "Founder", "founder_bio": "Building Optifye.ai. Previously built a system to boost efficiency by 105% of semi-automated lines at an automobile gears manufacturing company. My family also runs several manufacturing plants in various industries, which has given me unrestricted access to assembly lines since I was 15.\n\n Studied for a B.S.E in Electrical and Computer Engineering and B.S. in Computer Science at Duke University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kushal-mohta-6926931b4/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d2a8ab3d0987d09ccf90ab6ef67b652990a20d12.jpg" } ], "jobs": [ { "id": 74288, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/optifye-ai/jobs/sDfGXkK-founding-engineer", "location": "New Delhi, DL, IN / New Delhi, Delhi, IN / Gurugram, HR, IN / Gurugram, Haryana, IN", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "₹2.4M - ₹4.8M INR", "equity_range": "0.10% - 0.30%", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [ "Amazon Web Services (AWS)", "Kubernetes", "PostgreSQL", "Machine Learning", "Docker", "Computer Vision" ] }, { "id": 79224, "title": "Founding Engineer - AI/ML", "url": "https://www.ycombinator.com/companies/optifye-ai/jobs/NQxhJPr-founding-engineer-ai-ml", "location": "Gurugram, HR, IN / Gurugram, Haryana, IN", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "₹2.4M - ₹3.6M INR", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 87931, "title": "Optifye.ai - AI Performance monitoring for factory workers", "tagline": "Solve shop-floor inefficiencies in real-time", "body": "Hi everyone, we’re Kushal & Vivaan - co-founders of Optifye.\n\nWe’re CS grads from Duke and because our families run manufacturing companies, we’ve seen more assembly lines than most industrial engineers!\n\n**Tl;dr;** We place cameras in manufacturing lines and use computer vision to help supervisors solve shop-floor inefficiencies in real-time.\n\n# **The Shop floor is a black-box.**\n\nThere has never been a way to accurately measure shop-floor performance. It is also understaffed; each supervisor, on average, is responsible for 50+ workers. \n\nCompanies struggle to boost efficiency because they cannot determine what caused the problem. \n\nAsk any manufacturing company owner about the last time they reached their productivity targets and you will get a very long, frustrated answer.\n\n# **For the first time ever, Optifye makes it… not a blackbox!**\n\nWe place cameras in manufacturing lines and use computer vision to count the number of pieces each workspace makes in real-time.\n\nWe then relay this information on a dashboard.\n\n![uploaded image](/media/?type=post&id=87931&key=user_uploads/1289176/58cd8240-7fe5-4884-b809-581905b11f89)\n\nWe believe that if you can measure it, you can improve it. \n\n![uploaded image](/media/?type=post&id=87931&key=user_uploads/1289176/dd1da477-3736-42fb-8f82-f76d7d32c77b)\n\n# **What this means for the ____**\n\n**Owner**: Gets accurate real-time factory, line, and workspace productivity metrics - no need to rely on your production head (who never has the incentive to say production looks terrible)\n\n**Production Head**: Gets line-wise and workspace-wise metrics to identify areas for improvement\n\n**Shopfloor supervisor**: Can finally identify what is causing inefficiency in the line and fix the problem on the go\n\nWe align every stakeholder with manufacturing companies’ primary KPI – efficiency.\n\nKnow any manufacturing company owners? \n\nLet us know at [founders@optifye.ai](mailto:founders@optifye.ai), and we’ll help them drop their cortisol levels :) \n\n![uploaded image](/media/?type=post&id=87931&key=user_uploads/1289176/387126da-5b03-41ab-b442-9f2ca0dbcb86)\n\n", "url": "https://www.ycombinator.com/launches/MsF-optifye-ai-ai-performance-monitoring-for-factory-workers", "votes": 82, "created_at": "2025-02-23T02:27:13.182Z" } ] }, { "id": 30316, "name": "Reditus Space", "slug": "reditus-space", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f567bf243e624ac80b841cec50ec05ef7e87c1ac.png", "website": "https://www.reditus.space/", "all_locations": "Atlanta, GA, USA", "long_description": "We are making reusable satellites for zero-g manufacturing & Hypersonic Technology Development. \r\nOur first orbital recovery mission is set to launch in Q4 2026.", "one_liner": "Reusable Satellites", "team_size": 12, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1739340612, "tags": [ "Hard Tech", "Manufacturing", "Aerospace" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "The founders met in graduate school at Georgia Tech, while we were both pursuing our PhD’s in aerospace engineering. " } ], "url": "https://www.ycombinator.com/companies/reditus-space", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/reditus-space.json", "year_founded": 2024, "city": "Atlanta", "country": "US", "linkedin_url": "https://www.linkedin.com/company/reditus-space", "x_url": "https://x.com/ReditusSpace", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/reditus-space", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f567bf243e624ac80b841cec50ec05ef7e87c1ac.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/1847423dc250b719ebdef9254dae22b30428d3fd.png" ], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 2231256, "full_name": "Stef Crum", "title": "Founder/CEO", "founder_bio": "CEO Reditus Space - Space Systems Engineer\nSpace Systems Engineering PhD, worked with NASA and Space Force on orbital operations and reentry. Founded Da Vinci Satellite, a satellite mission non-profit.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/spcrum/", "x_url": "https://x.com/StefReditus", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e5da8427c01c1ced92fb4375f6dbf2541ffdee78.jpg" }, { "user_id": 2250643, "full_name": "Will Sherman", "title": "Founder/CTO", "founder_bio": "CTO Reditus Space - Georgia Tech PhD dropout", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/willamasherman/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6bb49f20a0b9d5d15773ae4b4ed4fb47472edf81.jpg" } ], "jobs": [ { "id": 76235, "title": "Avionics Engineer", "url": "https://www.ycombinator.com/companies/reditus-space/jobs/2Ag3TbE-avionics-engineer", "location": "Atlanta, GA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$110K - $145K", "equity_range": "0.10% - 0.30%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 76237, "title": "Thermal Structures Engineer", "url": "https://www.ycombinator.com/companies/reditus-space/jobs/zVwGCvw-thermal-structures-engineer", "location": "Atlanta, GA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$110K - $145K", "equity_range": "0.10% - 0.30%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 81898, "title": "Senior Mechanical Engineer", "url": "https://www.ycombinator.com/companies/reditus-space/jobs/z9X9wJa-senior-mechanical-engineer", "location": "Atlanta, GA, US", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$130K - $175K", "equity_range": "0.10% - 0.25%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "CAD Design" ] }, { "id": 92319, "title": "Senior Aerothermal Engineer", "url": "https://www.ycombinator.com/companies/reditus-space/jobs/phc3lPZ-senior-aerothermal-engineer", "location": "Atlanta, GA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$130K - $175K", "equity_range": "0.10% - 0.25%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 88064, "title": "Reditus Space: Reusable Satellites for zero-g manufacturing", "tagline": "The next wave of pharmaceutical & materials manufacturing will happen in space, and we are getting people there and back faster!", "body": "Hey everyone, we are Will and Stef from Reditus Space!\\\n\\\n**The Problem**\n\nAccess and Return from space is almost entirely dependent on the International Space Station (ISS), a costly, slow, and overly bureaucratic process. Zero-G manufacturing is currently at a turning point, transitioning from research to producing materials for use on Earth. The current space infrastructure cannot provide consistent access & return for zero-g manufacturing, and that is where we come in.\n\n**Why produce anything in space at all?**\n\nThe absence of gravity in space means that there is no sedimentation or convection. In turn, that means during the formation of materials, you are able to make them more homogenous on an atomic level. This has huge implications for pharmaceuticals, semiconductors, and biologics. You are able to create materials in space that cannot be produced on Earth.\\\n\\\nIn short, the material production has to be so precise that gravity is too much of a disturbing force and needs to be removed.\n\n\\\n**What are we building right now?**\\\nRight now we are working on our first full-scale re-entry mission, the ENOS mission, which will be launching on a Falcon 9 in a launch window starting in March '26. We will be hosting a pharmaceutical R&D payload on-orbit and fully re-enter and recover the satellite.\\\n\\\nCheck out the following video for more info about ENOS!\\\n\n\n**The Team**\n\nWill and I met at Georgia Tech while we were both pursuing our PhD’s in Aerospace Engineering. We have worked on several satellite missions and re-entry and recovery with NASA & the DoD.\n\n![uploaded image](/media/?type=post&id=88064&key=user_uploads/2231256/ea6b8ac3-69ce-446b-90f8-9ceb9661a42e)\n\n**The Ask**\n\nWe are actively looking to expand our customer base. If you have any connections within the pharmaceutical or the semiconductor industry, especially the very large companies, we would love to talk to you! Even if you think that your company doesn’t do anything in space, very often they do.\n\n![uploaded image](/media/?type=post&id=88064&key=user_uploads/2231256/7966f07a-9691-448a-8ba7-e90e7537d2f7)\n\n", "url": "https://www.ycombinator.com/launches/MuO-reditus-space-reusable-satellites-for-zero-g-manufacturing", "votes": 15, "created_at": "2025-02-26T18:27:06.101Z" } ] }, { "id": 30317, "name": "Permitify", "slug": "permitify", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e0fb1e449f45c8f9ca33c6947992cac6af3e8c0f.png", "website": "https://permitify.com", "all_locations": "Salt Lake City, UT, USA", "long_description": "City building departments are understaffed and overworked. Meanwhile, builders lobby to remove power from building departments. Because building departments are usually the only profitable/self-sustaining branch of a local government, this is problematic. Permitify allows city build-plan reviewers to 10x their productivity covering the labor shortage, reducing the time required to issue a building permit, and allowing the city government's only profitable branch to stay intact.", "one_liner": "AI co-pilot for building plan review and building code compliance", "team_size": 2, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction -> Construction", "launched_at": 1737593819, "tags": [ "Generative AI", "GovTech", "Computer Vision", "Construction" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Real Estate and Construction", "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/permitify", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/permitify.json", "year_founded": 2025, "city": "Salt Lake City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/permitifyco", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e0fb1e449f45c8f9ca33c6947992cac6af3e8c0f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/3ca481c7dbe72abf2aeea46d976b91f712a68630.png" ], "primary_partner": null, "founders": [ { "user_id": 1681156, "full_name": "Adam Chandler", "title": "Founder/CEO", "founder_bio": "Adam is the co-founder and CEO of Permitify. \n\nBefore founding Permitify, I built and scaled a permit-expediting company with my co-founder, Alexander. Within the first month, we scaled from $0 to $40k ARR, serving clients across six states. While working to scale the business, we encountered the problems that we now solve with Permitify.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adam-chandler99/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2d6b8a2ae6491b7161ad189b8ae3fd4e2901fd52.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30318, "name": "Wildcard", "slug": "wildcard", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f6dd000652c5e77966ee483897c0ffed9dac2d80.png", "website": "https://wild-card.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Wildcard is the full-stack AEO & GEO platform for ecommerce and retail brands. We audit and action on how you show up across across AI search and AI shopping platforms like ChatGPT, Google AI Overviews, Gemini, Amazon Rufus/Alexa, and Walmart Sparky. We build the roadmap to close the gaps, and create the content that gets you recommended.\r\n\r\nMost tools stop at a visibility score. We do the work, and are built for ecommerce brands and retailers, not SaaS. Brands using Wildcard now show up first in AI answers where they used to be invisible.\r\n\r\nWildcard is building the command center for agentic commerce, everything brands need to serve a new type of shopper: AI agents; including support for emerging standards like the Agentic Commerce Protocol (ACP) and Universal Commerce Protocol (UCP).", "one_liner": "AEO/GEO for E-Commerce and Retail", "team_size": 0, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1738308751, "tags": [ "Generative AI", "E-commerce", "Marketing", "Retail Tech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/wildcard", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/wildcard.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/wild-card-ai", "x_url": "https://x.com/wildcard_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f6dd000652c5e77966ee483897c0ffed9dac2d80.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": 2074409, "full_name": "Kaushik Mahorker", "title": "Founder/CEO", "founder_bio": "CEO at Wildcard. Previously, Engineering Manager at Scale AI where I led the GenAI Allocation team. Built the ecommerce enrichment engine for the largest company pilot - enriching 2.4M attributes across 400K SKUs. Former Eng at AWS Elastic File System. UCLA Masters CS and UCSB CS undergrad.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kaushikmahorker", "x_url": "https://x.com/kaushikm_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/db6f2cd82eff70fd8c93170732c84adac4e19eb2.jpg" } ], "jobs": [ { "id": 97185, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/wildcard/jobs/ZSLVaaU-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $250K", "equity_range": "0.50% - 4.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 97186, "title": "Founding Applied ML Engineer", "url": "https://www.ycombinator.com/companies/wildcard/jobs/SEmo4di-founding-applied-ml-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$130K - $250K", "equity_range": "0.50% - 4.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 106605, "title": "Wildcard: AEO, GEO, and AI Search for Ecommerce Brands", "tagline": "Wildcard is the command center for agentic commerce. We help ecommerce and retail brands become the answer AI chooses.", "body": "**Traction:** 20+ Brands live. On average brands see a 5X increase in AI search revenue after 30 days.\n\n**TL;DR:** [Wildcard ](https://wild-card.ai/)helps brands and retailers rank first across ChatGPT, Claude, Gemini, Amazon Rufus/Alexa, and Walmart Sparky. We audit and action on how your brand, products, and collections show up across every AI search and shopping platform. Wildcard creates the roadmap, and our AI agents execute on it. We create the content AI looks for, including enriching the product catalog, new blogs, collection pages, outreach to publications, and even Reddit and YouTube content to close the gap. Operators can review, approve, and measure how actions tie back to revenue.\n\n**Launch Video:** \n\n**The Problem:** Shoppers are googling less and less. They want an experience where they can ask questions, like talking to an in-store rep. They're prompting about what to buy, the model names a few, people purchase those, and you're left relying on Meta's rising ad spend to acquire new customers or retain existing ones. Producing content for millions of SKUs is beyond human scale, and what we found is that millions in revenue was lost because of it. Below is what we learned after 7 months talking with brand owners.\n\n**What We Learned:**\n\n1. It's not about training the model. Everyone gets this wrong. When someone asks, the model runs a live search, reads what it finds, and picks. What decides it is boring and specific: a catalog structured so the model can trust it, and the right content on the sources it reads.\n2. Existing tools were built for SaaS. They hand you a score and stop. That playbook breaks the moment you have 5,000 SKUs and variants. A brand and retailers unit of AEO is the catalog, not a homepage.\n\n**The Solution:** Our solution is simple. First, we run a full audit of how you show up across AI search. Second, we build your roadmap. Lastly, we optimize your product catalog and create the content that gets you recommended. After 30 days, we tend to see a 5x increase in revenue.\n\n**Our Ask:** Try a free trial of our tool [here](https://wild-card.ai/). And if you know any brands, retailers, or agencies, an intro would be great!: [kaushik@wild-card.ai](mailto:kaushik@wild-card.ai)  \n\n**About Me:** Kaushik Mahorker (Founder & CEO). Previously, I was an Engineering Manager at Scale AI, where I led the GenAI Allocation team and built the ecommerce enrichment engine that structured 2.4M attributes across 400K SKUs, helping close $15M+ in retail and marketplace contracts.\n\n![uploaded image](/media/?type=post&id=106605&key=user_uploads/2074409/ca4bbe7c-d2fd-428f-8c09-f0fc965f7c9d)\n\n", "url": "https://www.ycombinator.com/launches/RjR-wildcard-aeo-geo-and-ai-search-for-ecommerce-brands", "votes": 4, "created_at": "2026-07-20T18:00:46.367Z" } ] }, { "id": 30319, "name": "Corsair", "slug": "corsair", "former_names": [ "Demeter" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/669230895e9a350309e4b696d01d846593838da1.png", "website": "https://www.corsair.dev", "all_locations": "New York City, NY, USA; Remote", "long_description": "Corsair connects your app to any other API. \r\n\r\nUse Corsair to build custom agents, dashboards, and workflows with hundreds of different integrations. \r\n\r\nGet started here: https://docs.corsair.dev/quick-start", "one_liner": "OpenRouter for Integrations", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1739227592, "tags": [ "Developer Tools", "B2B", "Workflow Automation", "Open Source", "Personalization" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "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/corsair", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/corsair.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/corsairdev", "x_url": "https://x.com/corsairdotdev", "fb_url": null, "cb_url": null, "github_url": "https://github.com/corsairdev/corsair/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/669230895e9a350309e4b696d01d846593838da1.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": 932430, "full_name": "Dev Jain", "title": "Founder/CTO", "founder_bio": "CEO of Corsair. We're building the TypeScript integration framework. \n\nBefore launching Corsair, I was a software engineer at Curri (S19). I went to UT Austin and studied mechanical engineering & economics 🤘", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/devrjain/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b86a18146f5802f843731f5c00107bd39466c6d7.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 112352, "title": "Corsair: Connect your users to their apps", "tagline": "10k GitHub stars, 200+ integrations: Open-source integration layer for agents and product UIs.", "body": "Corsair is a fully-featured product integration platform with a seamless DX. Build anything, from an agent working across all your integrations to a multi-tenant dashboard for your users to connect to anything.\n\n[Website](https://corsair.dev) | [Discord](https://discord.gg/uNgCP3mSzU) | [X](https://x.com/corsairdotdev) | [Cal](https://cal.com/dev-jain-ar3ec6/15min)\n\nMost agent integration tools are MCP-only. **Corsair is built on a REST API**, so the same layer works for agents, backend jobs, and the dashboards your customers actually use.\n\nClosed integration platforms keep your users' tokens on infrastructure you can't inspect or leave. **Corsair is open source**. Self-host it, or use Corsair Hub if you want us to handle OAuth and webhooks. Your data remains yours either way.\n\nThe more third-party APIs your product touches, the more glue code you write. **Corsair gives every integration the same syntax**, and we maintain the adapters behind it.\n\n**Here's how we use Corsair internally**: a GitHub clone wired up through the Corsair SDK. The UI was vibe-coded in an afternoon. All of it runs on the Corsair SDK.\n\n\n\n**How we can help you**: If you're stuck writing integrations or your current provider holds your customers' data on servers you don't control, reach out. We'll help you set up Corsair, open a Slack channel for support, and build any integrations you're missing.\n\n[Get started at corsair.dev →](https://corsair.dev)\n\n![uploaded image](/media/?type=post&id=112352&key=user_uploads/932430/529a4c94-03c1-4f1a-aa35-eceb39742401)\n\n", "url": "https://www.ycombinator.com/launches/TE8-corsair-connect-your-users-to-their-apps", "votes": 1544, "created_at": "2026-08-27T20:55:14.055Z" } ] }, { "id": 30320, "name": "Proception Inc", "slug": "proception-inc", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9bbd5c88222cf5eb971b76232ac40284413785f0.png", "website": "https://proception.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Making humanoids dexterous enough to thread a needle", "team_size": 10, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1739402915, "tags": [ "Robotics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "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/proception-inc", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/proception-inc.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/proceptionai/?viewAsMember=true", "x_url": "https://x.com/proceptionAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9bbd5c88222cf5eb971b76232ac40284413785f0.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": 2177365, "full_name": "Jay Li", "title": "Founder/CEO", "founder_bio": "Working on humanoid. Stanford alumni", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jaylicareer/", "x_url": "https://x.com/jaylistanford", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e1e14b438d6bcc0a1dde6f23547a7be16e34e1f3.jpg" }, { "user_id": 2602106, "full_name": "Jack Xu", "title": "Founder", "founder_bio": "UWaterloo Alumni, Ex-Tesla Engineer, Ex-Trexo [YC 19]", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jack-xu-jxinbox/", "x_url": "https://x.com/_jaku_xu?s=21", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/697b46f581ed12f84f2c38b91fa0a4bcace94d71.jpg" } ], "jobs": [ { "id": 84326, "title": "Robotics Technician (Assembly & Testing)", "url": "https://www.ycombinator.com/companies/proception-inc/jobs/YQt8sOz-robotics-technician-assembly-testing", "location": "Palo Alto, CA, US", "type": "Contract", "role": "Operations", "role_type": null, "salary_range": "$25 - $35 / hourly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Robot hand company settles Tesla trade secret suit and announces $11M raise | TechCrunch", "url": "https://techcrunch.com/2026/06/29/robot-hand-company-settles-tesla-trade-secret-suit-and-announces-11m-raise/", "date": "Jun 29, 2026" } ], "launches": [ { "id": 104230, "title": "Proception - The dexterous robot hand we wish existed", "tagline": "The hand that enables robots. The glove that teaches them.", "body": "# **Shipping ProHand: The Human-Like Robotic Hand Built for Dexterous Manipulation**\n\nMost robots still cannot use their hands.\n\nThat sounds strange, because robots have gotten dramatically better over the past decade. They can navigate warehouses, run, jump, perceive their surroundings, and reason over visual scenes. But when it comes to actually touching the world, most robots still rely on simple grippers.\n\n![uploaded image](/media/?type=post&id=104230&key=user_uploads/2602106/4c624b0d-144a-4af0-8144-a88769012c9d)\n\nThat works if the object is rigid, predictable, and placed exactly where the robot expects it to be. It breaks down quickly when the task requires the kind of manipulation humans do every day: adjusting grip, feeling contact, using multiple fingers, handling soft objects, or recovering when something slips.\n\nWe started Proception because we kept running into the same bottleneck: humanoid robots will not become truly useful until they can manipulate the world with something much closer to a human hand.\n\nToday we are introducing ProHand 1.0, a high-dexterity robotic hand built for researchers and robotics companies working on contact-rich manipulation.\\\n\\\n\n\n## Why We Built a Human-Like Hand\n\nThe human hand is not just a gripper. It has more than twenty degrees of freedom, dense tactile feedback, tendon-driven actuation, and an incredible ability to adapt through contact.\n\nThat is what makes simple tasks deceptively hard for robots. Tying shoelaces, opening packaging, handling tools, plugging in cables, folding clothes, or repairing electronics are not just vision problems. They are contact problems.\n\nTo build ProHand, we worked closely with hand surgeons and designed the system around the structure of the human hand.\n\n![uploaded image](/media/?type=post&id=104230&key=user_uploads/2602106/7dacec7a-3a65-412f-8513-cef8caf8b27f)\n\nProHand includes:\n\n* **Twenty-two degrees of freedom**, with multiple joints per finger, enabling a wide range of human-like motions.\n* **Tendon-driven actuation**, where motors pull cables to move the fingers while keeping the hand lightweight and compact.\n* **A compact and robust mechanical design**, built to be impact tolerant, serviceable, and practical for real robotics research.\n* **Integrated skin-like sensors**, which detect contact and support grip control during manipulation.\n\nThe goal was not to build a hand that looks human for aesthetics. The goal was to build hardware that can interact with the world in the same manipulation regime as human hands.\n\n## The Bigger Problem Is Data\n\nDexterous manipulation is not only a hardware problem. It is also a data problem.\n\nAI has made enormous progress in vision and language because those fields had access to large-scale datasets. Robotics does not have the same advantage. Manipulation data is expensive, slow, and usually collected in labs through teleoperation.\n\nTeleoperation is useful, and ProHand supports standard teleoperation workflows out of the box. But it has two big limitations.\n\nFirst, it does not scale easily. Data collection is limited by how many robots you have and how much time operators can spend controlling them.\n\nSecond, it loses important human interaction signals. When someone teleoperates a robot, they are not directly touching the object. The robot sees motion commands, but it often misses the subtle pressure, contact, and adjustment strategies humans naturally use when manipulating objects.\n\nBecause ProHand is designed around human hand kinematics and skin-like sensing, we can also collect data directly from human hands.\n\nThat is why we built **ProGlove**.\n\n![uploaded image](/media/?type=post&id=104230&key=user_uploads/2602106/1ee06ef7-e3b4-422a-b38c-2987494df668)\n\nProGlove turns the same sensor skin used on ProHand into a wearable data collection system. A person can wear the glove, interact with real objects, and capture human manipulation data without needing a robot in the loop. Combined with a headset for visual context, researchers can collect real human hand interaction data and transfer those movements and skills to ProHand.\n\nOur bet is simple: the fastest path to dexterous robots is to build hardware close enough to the human hand that we can learn from human hands directly.\n\n## Shipping This Week\n\nProception has raised **$11 million in seed funding** led by **First Round Capital**, with participation from **Y Combinator** and **BoxGroup**. This allows us to expand the team, scale production, and keep building the hardware and data infrastructure needed for dexterous manipulation.\n\nOur team has designed consumer electronics at Apple that reached millions of users, built robotic systems at Tesla and early-stage startups, and spent years working on the messy details of real hardware: actuation, sensing, reliability, calibration, control, and data collection.\n\nWe are building ProHand in Mountain View, and the first batch of units is shipping this week to researchers and robotics companies.\n\nIf you are building dexterous manipulation systems, humanoid robots, teleoperation workflows, or robot learning pipelines, you can order ProHand on [our website](https://www.proception.ai/product/pro-hand/gen1).\n\nIf you want to help build the hands that make humanoid robots useful, we are hiring .\n\n## ", "url": "https://www.ycombinator.com/launches/R78-proception-the-dexterous-robot-hand-we-wish-existed", "votes": 7, "created_at": "2026-06-29T15:46:59.992Z" }, { "id": 88112, "title": "🦾 Proception.ai - World's most dexterous humanoid", "tagline": "We make humanoids dexterous enough to thread a needle", "body": "Our mission is to revolutionize humanoid robotics by developing robots capable of performing complex tasks, transforming how we interact with technology in industries like healthcare, manufacturing, and beyond.\n\n### **What We Do**\n\nAt Proception, we are developing advanced humanoid robotic hands and robots, starting with a high-precision hand for research. We’ve successfully built our first functional prototype in just 4 months—an incredible milestone that sets us on the path to shipping to researchers soon. Our unique approach to **data collection**—where we collect data through human interaction rather than teleoperating robots—has significantly increased the efficiency of our data gathering. This enables us to train more effective AI models for manipulation and task execution.\n\n\n\n### **The Journey Ahead**\n\nOur robotic hands are just the beginning. In the next few years, we’ll expand from hands to fully autonomous humanoid robots capable of performing a wide range of tasks across industries. From healthcare and elder care to manufacturing and logistics, Proception’s robots will drive automation and unlock new efficiencies.\n\n### **Why We’re Different**\n\n![uploaded image](/media/?type=post&id=88112&key=user_uploads/2177365/6b25ce59-4945-4d41-8c32-2bd1379203d9)\n\n1. **Efficient Data Collection**: Unlike traditional teleoperation methods, we gather data through human-driven interactions, dramatically improving the efficiency of data collection and speeding up the training of AI models.\n2. **Execution**: In just 4 months since founding Proception, we’ve built a functional prototype of our humanoid hand, and we’re now preparing to ship it to research institutions in the near future.\n3. **Scalability**: Our robot is highly versatile and adaptable across a wide range of tasks, with a clear roadmap to scale from research applications to both industrial and household markets.\n\n![uploaded image](/media/?type=post&id=88112&key=user_uploads/2177365/c4f61f1e-d25c-4da2-b887-f72dd29bda8f)\n\n### **What’s Next**\n\nIn the coming 9 months, we will continue refining our robotic hand and prepare for the first shipments to research customers. We’ll also focus on further developing our AI software and preparing for the next phase: scaling to humanoid robots capable of performing real-world tasks. By years 2–3, we plan to deploy humanoid robots into industries that can benefit from automation and complex task execution.\n\n### **Backstory**\n\nMy journey into humanoid robotics began during my two years at Tesla, where I worked on the Tesla Optimus project. I developed a deep emotional connection to the potential of humanoid robots, which inspired me to pursue a path where I could bring that vision to life. Before Tesla, I worked at two startups, both of which successfully IPO’d. Those experiences taught me that the most challenging problems, especially in robotics, can only be solved through the agility and innovation of startups. That’s why I founded Proception—to take on these hard problems and push the boundaries of what’s possible with humanoid robots.\n\n### **Join Us on This Journey**\n\nJoin us in shaping the future of humanoid robotics. If you’re interested in learning more about our progress or exploring ways we can work together, let’s connect! Reach us at [**contact@proception.ai**](mailto:contact@proception.ai) or sign up at [proception.ai](https://proception.ai)\n\nTogether, we’re building the future—one robot at a time.", "url": "https://www.ycombinator.com/launches/MvA-proception-ai-world-s-most-dexterous-humanoid", "votes": 27, "created_at": "2025-02-27T18:50:09.198Z" } ] }, { "id": 30321, "name": "Woz", "slug": "woz", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3ec5c6a24f1037c7183c8ce6c5dc019a1f42ec3d.png", "website": "https://www.wozcode.com/", "all_locations": "San Francisco, CA, USA", "long_description": "WOZCODE is the highest performing, lowest cost AI coding agent. Available via Claude Code Plugin. \r\n\r\nThe WOZCODE plugin outperforms Claude Code alone on all key metrics:\r\n\r\nCost: 25-55% cheaper\r\nSpeed: 5-10x faster on database tasks, 30-40% faster on most others\r\nPerformance: beats Claude code on Terminal Bench 2.0 (68% vs 58%)\r\n\r\nInstall with one command. Access directly via Claude Code\r\n\r\nYour tools, your workflows, but Better, Faster, Cheaper.\r\n", "one_liner": "Claude Code plugin that reduces token consumption and cost by 50%", "team_size": 8, "industry": "B2B", "subindustry": "B2B", "launched_at": 1737406523, "tags": [ "SaaS", "AI" ], "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": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "Ben and Brad have been friends for over 13 years, first meeting as engineering students at MIT." } ], "url": "https://www.ycombinator.com/companies/woz", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/woz.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/withwoz", "x_url": "https://x.com/WithWoz1", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3ec5c6a24f1037c7183c8ce6c5dc019a1f42ec3d.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": 1831330, "full_name": "Ben Collins", "title": "Founder/CEO", "founder_bio": "Cofounder and CEO at Woz. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bentcollins/", "x_url": "https://x.com/BenjaminT007", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c5169080a0bb66f34a33880c76dac714c74d3027.jpg" }, { "user_id": 200594, "full_name": "Brad Eckert", "title": "Founder/CTO", "founder_bio": "Founder/CTO of Woz. Prev Founder & leader of >30 person engineering team at Cairns Health (YC S17, formerly Totemic). Built deep learning radars in consumer electronics for the home environment and an LLM enabled cure for chronic insomnia. MIT EECS, AI Masters dropout, co-author on 25+ patents.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bradleymeckert/", "x_url": "https://x.com/ChefEckert", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5194770d0f855df235bda213246ec0c08b1be8fd.jpg" } ], "jobs": [ { "id": 74411, "title": "Senior Software Engineer", "url": "https://www.ycombinator.com/companies/woz/jobs/E7Uj7bi-senior-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $200K", "equity_range": "0.10% - 0.30%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Node.js", "PostgreSQL", "React", "React Native", "SQL", "Software Architecture", "Software Security" ] }, { "id": 84657, "title": "Founder in Residence at Woz (San Francisco)", "url": "https://www.ycombinator.com/companies/woz/jobs/Nsh4F78-founder-in-residence-at-woz-san-francisco", "location": "San Francisco, CA, US", "type": "Contract", "role": "Engineering", "role_type": "iOS", "salary_range": "$80K - $100K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 85900, "title": "Founding Woz Experts (freelance)", "url": "https://www.ycombinator.com/companies/woz/jobs/jn2oBHa-founding-woz-experts-freelance", "location": "Remote (US)", "type": "Contract", "role": "Engineering", "role_type": "iOS", "salary_range": "$50 - $150 / hourly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "React Native", "TypeScript" ] }, { "id": 89117, "title": "Content Wizard", "url": "https://www.ycombinator.com/companies/woz/jobs/HgalPvV-content-wizard", "location": "San Francisco, CA, US / Remote (US)", "type": "Contract", "role": "Marketing", "role_type": null, "salary_range": "$50 - $100 / hourly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Growth design", "Marketing design" ] } ], "news": [], "launches": [ { "id": 99856, "title": "WOZCODE - Cut your Claude costs by 50%", "tagline": "A Claude Code plugin that doubles your AI output per dollar", "body": "# **Double your AI coding output per dollar spent with WOZCODE**\n\n[WOZCODE](https://www.wozcode.com/) is a plugin that augments Claude Code, making it faster, cheaper and higher performing. It installs in two commands, uses your existing Claude subscription, and fits directly into your current tools and workflows (CLI, Claude Desktop App, VS Code, Conductor, etc.)\n\n\n\n**Problem:**\n\nLast month, our Claude Code spend crossed $100k.\n\nThe scary part wasn’t the total. It was how much Claude wasted by being inefficient. Tool call after tool call that bloated context and burned unnecessary tokens. Claude Code is incredible, but too often it was wasting our tokens and money. As a startup we couldn’t continue burning funds in this fashion. \n\nSo we built a fix.\n\n**Solution:**\n\n[WOZCODE](https://www.wozcode.com/) is a plugin that optimizes how Claude Code works under the hood.\n\nCompared to Claude Code alone, WOZCODE delivers:\n\n* **25–55% cost savings**\n* **30–40% faster coding tasks**\n* **Higher benchmark performance (Terminal Bench: 70% vs 58%)**\n\nFor teams using Claude Code heavily, this can mean:\n\n* 50% Lower API spend\n* 2x more AI coding throughput\n* 2x more output before hitting limits \n\n\\*checkout[ wozcode.com](http://wozcode.com) for side-by-sides on real world coding tasks\n\n**How it works**\n\nInstead of relying solely on the default tools inside Claude Code, WOZCODE uses a set of custom tools designed for efficiency and context optimization.\n\nFor example, in vanilla Claude Code, a simple \"find and edit 3 files\" takes 9+ calls (3× Glob/Grep + 3× Read + 3× Edit) — and call #9 reprocesses all prior output as input tokens.\\\n\\\nWOZCODE collapses that to 2 calls (1× Search + 1× batch Edit). The context stays small, so every subsequent call in the session is cheaper. Over a 30-prompt session, this compounding effect drives significant cost savings.\n\n**See what you could be saving:**\n\nRun the below common in your terminal. It scans your existing Claude Code history and shows you exactly what you could have saved over the last 30 days\n\n _curl -fsSL [https://wozcode.com/savings-check.js](https://wozcode.com/savings-check.js) | node -_\n\n**Get started for free:**\n\nSign up at [ wozcode.com](http://wozcode.com)\n\nWOZCODE installs in two commands, uses your existing Claude subscription, and fits directly into your current tools and workflows (CLI, Claude Desktop App, VS Code, Conductor, etc.)\n\n**Help us help you:**\n\nIf you’re hitting Claude limits or seeing your spend rapidly accelerate, we’d love to hear from you. The sooner we learn about your use case the sooner we can optimize for it and help you save.\n\nReach us at [founders@withwoz.com](mailto:founders@withwoz.com)\n\nThank you!\n\n\\-Ben & Brad", "url": "https://www.ycombinator.com/launches/Pya-wozcode-cut-your-claude-costs-by-50", "votes": 9, "created_at": "2026-04-17T15:44:51.341Z" }, { "id": 87776, "title": "Woz - Your AI Technical Cofounder", "tagline": "Launch a software business from scratch, no cofounder required", "body": "Hey everyone - we’re [Brad Eckert](https://www.linkedin.com/in/chefeckert/) and [Ben Collins](https://www.linkedin.com/in/bentcollins/), cofounders of Woz. 👋\n\nWoz is an AI platform that empowers non-technical entrepreneurs to build and scale real software businesses–no technical cofounder or engineering team required. To start, we’re helping entrepreneurs build high quality mobile apps and launch them directly to the app store.\n\n\n\n### **Problem:**\n\nFor most people, finding a technical cofounder is a frustrating and often insurmountable challenge. AI tools for generating prototypes and toy apps only exacerbate the struggle, leaving non-technical users stranded with no way to get from prototype to customer-ready product. \n\n### **Solution:**\n\nWith a proprietary system of AI agents, **Woz enables you to go from idea to production-ready product, eliminating the need to find a technical cofounder or hire developers.** Simply explain your business idea as you would to a human developer, and Woz handles the rest - product, payments, security, infrastructure, scalability, and more. Once you're up and running, Woz provides the tools you need to reach customers, grow sales, and scale your business, all in one place. Think of Woz as the command center for your business. \n\n### **What Woz is NOT:**\n\nWoz is **NOT** another no-code tool for generating prototypes, demos, or “toy apps” (e.g. surveys, to do lists, landing pages, etc). Maybe you’ve tried tools like Bubble, Lovable, or Bolt–these tools are fun and easy to use, but they're not engineered for business building. At Woz, we take the opposite approach–starting from battle-tested backend infrastructure and then customizing it to your business. That way, everything built on Woz is ready for customers on day one.\n\n### **Our Team:**\n\nWe met 13 years ago as roommates at MIT and have been building companies pushing the limits of AI/ML ever since. Brad previously cofounded Cairns Health (YC S17, formerly Totemic) where he led an engineering team of 30+ and built an LLM enabled device to cure chronic insomnia. We’re joined by a world class team of ML scientists and production engineers who’ve worked together for the last 10 years, scaling products to millions of users. Woz is now a fulltime team of six, and growing. If you’re interested in joining us as we remove barriers to business building, please reach out.  \n\n### **Itching to launch a mobile app?**\n\n👉 Apply for our Beta at [www.withwoz.com](https://www.withwoz.com) or contact us directly at [founders@withwoz.com](mailto:founders@withwoz.com)\n\n**We can’t wait to see what you build!** 🚀 🚀 🚀", "url": "https://www.ycombinator.com/launches/Mpk-woz-your-ai-technical-cofounder", "votes": 40, "created_at": "2025-02-18T15:52:03.555Z" } ] }, { "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": 30325, "name": "Roark", "slug": "roark", "former_names": [ "Roark AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6f767546eea69824b40dd475b83ae01dafa05b12.png", "website": "https://roark.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Roark helps teams test, monitor, and improve their voice agents.\r\n\r\nVoice AI is exploding, but reliability is still the #1 challenge. Teams spend hours manually testing agents and still miss failures. In the last 6 months, Roark has processed over 10M minutes of calls, powering monitoring and simulation for teams across the Voice AI ecosystem (including YC companies).\r\n\r\nWe close that gap by combining:\r\n\r\n 📊 Monitoring & Evaluation - 40+ built-in metrics (latency, instruction-follow, sentiment, etc.), custom dashboards, alerts, and the ability to define your own. Up to 15 speakers with automatic speaker identification.\r\n 🎭 Simulations & Personas - end-to-end phone/WebSocket simulations for inbound and outbound agents, with configurable personas (accents, languages, speech & behavior profiles). Define tests as conversations with a graph-based approach, so you can easily branch into edge cases and variants.\r\n 🔁 Full lifecycle loop - failed calls automatically become repeatable tests, so every failure makes your agent stronger.\r\n\r\nRoark is the missing QA layer for Voice AI - helping teams ship agents they can trust.", "one_liner": "Test, monitor, and improve your voice agents", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1737797905, "tags": [ "Analytics", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/roark", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/roark.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/106073945", "x_url": "https://x.com/roarkanalytics", "fb_url": null, "cb_url": null, "github_url": "https://github.com/roarkhq", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6f767546eea69824b40dd475b83ae01dafa05b12.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7d8432d508c98941a2f2c053c1a579106909c1a3.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 91038, "full_name": "James Zammit", "title": "Founder/CEO", "founder_bio": "James Zammit (CEO) is an infrastructure and AI engineer with 10+ years of experience. Previously a Senior Engineer at AngelList, he built core portfolio infrastructure as the company grew from $10B to $124B in assets under management, and led the development of Relay, an AI-powered portfolio manager processing thousands of financial documents each month. He also co-founded a startup showcased at Google I/O 2016 in partnership with Firebase, and received scholarships from Meta and Apple.\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/zammitjames", "x_url": "https://x.com/zammitjames", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7c1041ab46bdf1f351b525d1b02e5c949bb10518.jpg" }, { "user_id": 320609, "full_name": "Daniel Gauci", "title": "Founder/CTO", "founder_bio": "Daniel Gauci (CTO) is a software engineer with 10+ years of experience. Previously a Senior Engineer at Akiflow (YC S20), he helped scale the company to $1.5M ARR and over 10,000 customers. Daniel spent seven years at Casumo, leading the development of a mobile app used by millions of players, significantly contributing to the company’s growth to over $50M ARR.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gaucidaniel/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/045f1f81ef3751897dcbae72acf3a1197e3b9d3d.jpg" } ], "jobs": [], "news": [ { "title": " Roark: Test, monitor, and improve your voice agents | Product Hunt", "url": "https://www.producthunt.com/products/roark-yc-w25?launch=roark", "date": "Aug 26, 2025" } ], "launches": [ { "id": 87658, "title": "Roark - The Observability & Testing Platform for Voice AI", "tagline": "Replay real production calls against your latest agent changes, catch failures, and track sentiment.", "body": "## **TL;DR**\n\nRoark is an observability and testing platform for Voice AI that shows you whether your agent meets its goals, tracks how customers feel, and lets you replay real calls on your latest changes.\n\nIf you’re building voice AI agents and want a faster, smarter way to test and improve them, we’d love to connect! Email [james@roark.ai](mailto:james@roark.ai) or [book a time here](https://calendly.com/james-roark/book-a-demo).\n\n![uploaded image](/media/?type=post&id=87658&key=user_uploads/91038/0caf0c5a-2421-4fcf-8b6a-2867de8d581f)\n\n_(Replay real calls without picking up the phone.)_\n\n## **The Problem: Testing Voice AI Is Painfully Manual**\n\nOnce a voice agent is live, teams have no easy way to test updates. Every time you tweak a prompt or logic, you have to manually call the bot, hoping to catch issues before customers do.\n\n* Does the agent follow the right flow? You don’t know unless you re-run conversations by hand.\n* Did a change break something? You won’t find out until users complain.\n* How do customers actually experience the bot? Traditional testing tools only analyze text transcripts, missing tone, hesitation, or frustration.\n\nVoice AI teams, especially in healthcare, legal, and customer support need real-world validation for every change they ship. But existing testing tools rely on scripted test cases that don’t reflect real interactions, leading to blind spots and regressions.\n\n## **The Solution**\n\nRoark lets you replay real production calls against your newest AI logic, so you can test changes before they go live. No more manually dialing your bot or relying on outdated scripted tests - get real-world validation instantly.\n\nHow It Works:\n\n1. Capture real-world calls: Automatically ingest production conversations from your existing voice AI setup (integrates seamlessly with VAPI, Retell, or custom APIs).\n2. Replay calls on your updated agent: Our system re-runs the same user inputs, sentiment, and tone against your latest agent, cloning the original caller’s voice for more realistic testing.\n3. Evaluate goal completion: Define key objectives (e.g., “Did the agent confirm insurance?”) and automatically flag failures or missteps.\n4. Monitor sentiment & vocal cues: Detect frustration, long pauses, sighs, and hesitation - signals that text-based evaluations miss.\n5. Track performance with reports & dashboards: Visualize conversation flows, track drop-offs, and measure key metrics with Mixpanel-style analytics.\n6. Get real-time alerts: Set up custom monitoring for compliance violations, negative sentiment spikes, or repeated failures.\n\nRoark gives AI teams the same confidence in testing, iteration, and monitoring that software engineers had for years with modern dev tools.\n\nCheck out our demo below!\n\n\n\n## **Why We Built Roark**\n\nWe first ran into this problem while building a voice agent for a dental clinic. Patients kept reporting issues, getting stuck in loops, failing to confirm insurance, or receiving irrelevant responses. But the only way to test fixes was to call the bot ourselves or read through hundreds of transcripts, hoping to spot patterns. It was frustrating, slow, and unreliable.\n\nAfter talking to other teams working on Voice AI, we realized this problem was universal - everyone was struggling to validate their AI’s performance efficiently. That’s when we decided to build Roark.\n\n## **Team**\n\nWe’re engineers who have built and scaled complex systems at high-growth companies:\n\nJames Zammit (CEO) – Infra and AI engineer with 10+ years of experience. Previously at AngelList, where he worked on core infrastructure as the company scaled from $10B to $124B in assets under management and led the development of Relay, an AI-powered portfolio manager. Co-founded three startups, one of which partnered with Firebase and was showcased at Google I/O 2016.\n\nDaniel Gauci (CTO) – Software engineer with 10+ years of experience. Previously at Akiflow (YC S20) as part of the mobile development team, helping the company reach $1.5M ARR and 10,000+ customers. Spent 7 years at Casumo, leading the development of the mobile app used by millions of players helping the company reach $50M+ ARR.\n\n## **Try it out!**\n\nIf your team is tired of manually testing voice AI updates and wants a faster, more reliable way to validate changes, email us at [founders@roark.ai](mailto:founders@roark.ai) or [book a demo here](https://calendly.com/james-roark/book-a-demo) - we’d love for you to try out Roark.\n\n![uploaded image](/media/?type=post&id=87658&key=user_uploads/91038/b44daa71-7f56-4c40-9c89-8dd4edf07bd3)\n\n", "url": "https://www.ycombinator.com/launches/Mnq-roark-the-observability-testing-platform-for-voice-ai", "votes": 39, "created_at": "2025-02-13T19:09:59.210Z" } ] }, { "id": 30328, "name": "Dalus", "slug": "dalus", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7076b7fa11f6e99d25bfd27695c8c6125132b882.png", "website": "https://dalus.io", "all_locations": "San Francisco, CA, USA", "long_description": "Dalus is an AI-powered systems engineering software to model/validate complex systems for aerospace/defense/robotics and other mission-critical industries. \r\n\r\nWith Dalus, engineers can seamlessly trace requirements, perform analyses, and update information in real-time. This ensures that every team member stays aligned and informed, reducing inefficiencies and enabling faster iterations. \r\n\r\nWith AI at our core, users can analyze hundreds of pages of existing engineering documentation and requirements to generate or retrieve information about the system model they are building in Dalus.\r\n\r\nWe started working together on Dalus in spring 2024 after Eliot quit his job at Aerojet Rocketdyne (L3Harris) where he worked as a test/systems engineer. He experienced first-hand how silos and poor communication reduced the productivity and efficiencies in the teams he worked at.\r\n\r\nWe love working with companies tackling complex engineering systems, whether they be startups just getting their feet wet or large organizations like Israel Aerospace Industries (Our design partner and biggest aerospace/defense company from Israel)\r\n\r\nRead why we started Dalus: https://dalus.io/articles/why-dalus", "one_liner": "AI-Powered Hardware System Design Software", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1736994368, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/dalus", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/dalus.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/dalus-tech/", "x_url": "https://x.com/Dalus_io", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7076b7fa11f6e99d25bfd27695c8c6125132b882.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": 460293, "full_name": "Sebastian Völkl", "title": "Founder/CEO", "founder_bio": "Co-Founder/CEO @ Dalus\nSoftware to model/validate complex systems for industries like aerospace/defense\n\nI co-founded two companies in the past (one software startup -> sold it, and one hardware startup, building Brain-Computer-Interface electronics)\n\nBefore starting Dalus, I was involved in a project with the European Space Agency, modeling a Greenhouse module for the Moon, where I learned firsthand how inefficient existing software for building hardware is. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sebastian-voelkl/", "x_url": "https://twitter.com/basti_vkl", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7eb5900f8347c37d3bd532c389774076829d1390.jpg" }, { "user_id": 1363858, "full_name": "Eliot Khachi", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO at Dalus\nBuilding the next generation of software for hardware engineers designing complex systems.\n\nPreviously worked as a systems integration / test engineer at Aerojet Rocketdyne where I planned tests for a propulsion system undergoing Proof Of Design for the navy. This is where I witnessed the inefficiencies of large, siloed engineering teams firsthand.\n\nB.S. Aerospace Engineering. Software enthusiast. Autodidact.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/eliot-khachi-426424159/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/43ab4762985020acf61c714007bb42cca090a6ed.jpg" } ], "jobs": [ { "id": 96572, "title": "Senior Software/Frontend Engineer @ Germany Office", "url": "https://www.ycombinator.com/companies/dalus/jobs/5IDmKJt-senior-software-frontend-engineer-germany-office", "location": "San Francisco, CA, US / Los Angeles, CA, US / Melbourne, VIC, AU / Munich, BY, DE / Remote (DE)", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "€70K - €90K EUR", "equity_range": "0.20% - 1.00%", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [ "React" ] }, { "id": 99648, "title": "GTM Intern ", "url": "https://www.ycombinator.com/companies/dalus/jobs/CqZr2It-gtm-intern", "location": "Munich, BY, DE / Munich, Bavaria, DE / San Francisco, CA, US / Melbourne, VIC, AU / Melbourne, Victoria, AU / Remote", "type": "Internship", "role": "Sales", "role_type": null, "salary_range": "$18 - $25 / hourly", "equity_range": "", "experience": null, "visa": "US citizenship/visa not required", "skills": [] }, { "id": 111591, "title": "Senior Software Engineer - PLM/CAD Integrations", "url": "https://www.ycombinator.com/companies/dalus/jobs/sZ6myaQ-senior-software-engineer-plm-cad-integrations", "location": "San Francisco, CA, US / Munich, BY, DE / Munich, Bavaria, DE / Melbourne, VIC, AU / Melbourne, Victoria, AU / Remote", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$80K - $170K", "equity_range": "", "experience": "4+ years", "visa": "US citizenship/visa not required", "skills": [ "Python", "TypeScript" ] } ], "news": [], "launches": [ { "id": 87642, "title": "Dalus - Hardware system design software powered by AI", "tagline": "Dalus helps engineers create system models of complex hardware in a day instead of weeks.", "body": "# **TL;DR**\n\nDalus is building the next generation of hardware system design software powered by AI. Our goal is to make building hardware as fast and iterative as software development.\n\n🔧 Use Dalus to model complex hardware systems with ease\\\n🛠 Collaborate in real-time with a single source of truth for your system designs\\\n🤖 Leverage AI to automate tedious updates and generate insights in seconds\\\n🚀 Verify system requirements within seconds\n\nWe started working together on Dalus in spring 2024 after Eliot quit his job at Aerojet Rocketdyne (L3Harris) where he worked as a test/systems engineer. He experienced firsthand how silos and poor communication in hardware development reduced the productivity and efficiencies of the teams he worked at.\n\n\n\n# **Our Hypothesis:**\n\nHardware development in industries like aerospace, defense, and automotive is slow, siloed, and error-prone due to poorly maintained documentation. \n\nTraditional document-based approaches to systems engineering are outdated and fail to keep up with today’s agile hardware teams. Dalus provides an **intuitive model-based systems engineering (MBSE) platform** that centralizes all system requirements, functions, architectures, and constraints into one living digital model.\n\n## **The Need for Model-Based Systems Engineering (MBSE)**\n\nTraditional systems engineering relies heavily on scattered documents and manual processes, leading to inefficiencies and costly mistakes. MBSE addresses these issues by:\n\n1. Creating a single source of truth\n2. Enabling faster design-test-iterate cycles\n3. Catching errors early in the development process\n4. Supporting rapid changes in hardware designs\n\n ![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXf1aozPCrqSOY6AuEN-7_b5CU_u4_uS_RDAqkgg0GqlDyxBxuRak3KvRGYzFkCGd3LTq1Qdqkkm2llPcI0W__yXQBIDLvtBCMorZtaFdFWJu57VDbxaqV-lVZG8q4K8kN0UdBw7?key=81YZe2YCcaHvmEQ0BoEuPJUw)\n\n\n# **Industry Focus:**\n\nDalus is tailored for complex engineering systems in industries such as aerospace, defense, energy, and automotive.\n\nWe love working with companies tackling complex engineering systems, whether they be startups just getting their feet wet or large organizations like Israel Aerospace Industries (Our design partner and biggest aerospace/defense company from Israel)\n\n## **Dalus' Approach**\n\nDalus differentiates itself from existing solutions by offering:\n\n1. Cloud-based software that's intuitive and reasonably priced\n2. Seamless integration with existing design and simulation tools\n3. AI-driven capabilities to automate tedious tasks\n4. A focus on supporting agile hardware teams in fast-changing environments\n\n ![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfQfTZt8sjAxYlpkO4E0KeKvZa2PWHcsY2P9PaLI33gn_rJ4npYq3uphNlkIqWzxvSrJdZ_lfOUzibP8vaNyVl_-jhrZElnDj18gonT6d0ZLj5TQJDgAeio6ehaG5gyB52iMV22Tg?key=81YZe2YCcaHvmEQ0BoEuPJUw)\n\n\n## **Future Developments**\n\nDalus is actively working on new features based on user feedback, including:\n\n* Native integrations with physical simulation tools\n* Version control\n* Creating the best AI on the market for hardware systems engineering\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfUWnYnlL_4HOjcu8QbXJcZLBWWJXG9yc11C2SFnUWGsMyBqBYpmwp1l5iFoIzUvsNpIwIl5NYuLk8RnjAMBEdljMctJFHHG5wrVek7Gy0typhqwOlih0fs5rYLrcdsaA9-bvipJg?key=81YZe2YCcaHvmEQ0BoEuPJUw)\n\n# **The Ask**\n\n* If you know someone who is working on complex hardware systems, send them to [dalus.io](http://dalus.io)\n\nRead more on why we started Dalus: \n\n\\\nReach us at [sebastian@dalus.io](mailto:sebastian@dalus.io)\n\n![uploaded image](/media/?type=post&id=87642&key=user_uploads/460293/f3f042a9-9dec-4835-a08c-6d95e82d7304)\n\n", "url": "https://www.ycombinator.com/launches/Mna-dalus-hardware-system-design-software-powered-by-ai", "votes": 10, "created_at": "2025-02-13T15:36:15.123Z" } ] }, { "id": 30333, "name": "TensorPool", "slug": "tensorpool", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/79bd0c6f85962c1282260ab60adb0462fdb87ec8.png", "website": "https://tensorpool.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Our CLI makes ML model training effortless - just describe your job, and we handle GPU orchestration and execution at half the cost of major cloud providers.", "one_liner": "Vercel For GPUs", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1738629191, "tags": [ "AIOps", "Developer Tools", "SaaS", "DevOps", "Cloud Computing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Acquired", "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/tensorpool", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/tensorpool.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/105594641/", "x_url": "https://x.com/tensorpool", "fb_url": null, "cb_url": null, "github_url": "https://github.com/tensorpool/tensorpool", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/79bd0c6f85962c1282260ab60adb0462fdb87ec8.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": 2359695, "full_name": "Tycho Svoboda", "title": "Founder", "founder_bio": "Co-founder & CEO of Tensorpool. Ex-Blackstone, Stanford", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tycho-svoboda/", "x_url": "https://x.com/TychoSvoboda", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/71640aeaca285abc7a66cfc35382cb816fb97f60.jpg" }, { "user_id": 969804, "full_name": "Joshua Martinez", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO of TensorPool (W25)\nPreviously NVIDIA, Apple, Chan Zuckerberg Initiative\nStanford BS & MS in Computer Science + Statistics", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joshkmartinez/", "x_url": "https://x.com/joshkmartinez", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c836606ceba2f01352bc677895c11d93dbd10733.jpg" }, { "user_id": 1709047, "full_name": "Hlumelo Notshe", "title": "Founder/CPO", "founder_bio": "Co-Founder & CPO of TensorPool\nEx-DeepMind & NextDoor\nStanford BS & MS in Computer Science + Mathematics", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hlumelo-notshe", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4f64adb6ddd63e6cd1c2d5f8c9773281f1ced8d6.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87792, "title": "TensorPool: the easiest way to use GPUs 🌊", "tagline": "With TensorPool, just describe your job and we handle all the GPU orchestration and execution at half the cost", "body": "Hi Everyone! We’re [Joshua](https://bookface.ycombinator.com/user/969804), [Hlumelo](https://bookface.ycombinator.com/user/1709047), and [Tycho](https://bookface.ycombinator.com/user/2359695) - cofounders of TensorPool!👋\n\n**TLDR;** Our CLI makes ML model training effortless - just describe your job, and we handle GPU orchestration and execution at half the cost of major cloud providers.\n\n[Get setup in 3 minutes](https://github.com/tensorpool/tensorpool)\n\nHere’s a quick demo of how easy it is to train ML models with TensorPool!\n\n[**TensorPool Demo -- Fine-Tuning DeepSeek**](https://youtu.be/RqqLIVzP780)\n\n# **Problem**\n\nSince high school, when we trained our first ML models, **accessing remote compute has always been a massive hurdle**. As the years went by and we moved further into academia/industry, a good solution never came. Whether it was AWS EC2’s absurd amount of configuration, or Google Colab’s inability to run jobs without your computer being on, nothing left us satisfied. We talked to our co-workers and friends and they all felt the same. We wanted using GPUs to be as easy as programming locally.\n\n# **Solution**\n\nWe got together and built a way to **access industry-scale compute from your IDE**. No more SSHing. No more massive data migrations. No more ML Ops headache. Just a simple CLI. \\[We also **cut your costs by 50%** which will be explained below :)\\]\n\n# **How It Works**\n\nTensorPool has 2 main advantages:\n\n1. **Ease of Use:** \n * **Don’t leave your IDE:** TensorPool deploys your code directly to GPUs and ships the results back, just as if you were developing locally. \n * **Intuitive CLI & Configuration:** With TensorPool you can run your job with a single command, kick off several experiments with different tp.config.toml configurations, and version control training jobs with your code.\n2. **Price Advantage**\n * **Multi-cloud integration:** We’ve developed technology to do a real time analysis of all available GPU cloud providers, and put your job on the cheapest one.\n * **Spot node resummation tech:** We’ve created a way to give users the price advantage of spot nodes with the reliability of on-demand instances. This leads to \\~50% savings!\n\n# **Our ask**\n\nWe’re currently giving away $5/week of **free compute** to early users, and would love for you all to **try us out**! Whether your start-up needs an ML infra upgrade or you love messing around with models in your free time – reach out to us we’d love to chat ([team@tensorpool.dev](mailto:team@tensorpool.dev))! You can find all the information to get started [on our GitHub](http://github.com/tensorpool/tensorpool) (**drop us a star while you’re there** 😊) or [our website](https://tensorpool.dev).\n\n**We would also love intros to enterprises** that you believe could benefit from cheaper / easier access to GPUs.\n\n# **Try TensorPool today!**\n\nBelow is a quick start:\n\nAfter completing [the prerequisites](https://github.com/tensorpool/tensorpool?tab=readme-ov-file#prerequisites), we create a “tp.config.toml” ([explained here](https://github.com/tensorpool/tensorpool?tab=readme-ov-file#configuration)), either manually with: \n\n```\ntp config new\n```\n\nOr auto-generate one with natural language: \n\n```\ntp config \n```\n\nTo then deploy and run your job – simply run:\n\n```\ntp run\n```\n\nand that’s it! Your model is training on cloud GPUs! \n\n# **About Us**\n\nJoshua, Tycho, and Hlumelo all met their freshman year at Stanford where they got placed on the same dorm floor. Since then, they’ve taken all their classes together and have worked at companies like Apple, Blackstone, DeepMind, Nextdoor, CZI, and PIMCO.", "url": "https://www.ycombinator.com/launches/Mq0-tensorpool-the-easiest-way-to-use-gpus", "votes": 697, "created_at": "2025-02-18T22:18:38.093Z" } ] }, { "id": 30334, "name": "Bluebook", "slug": "bluebook", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ab67c5f36b05352c3fb1a5fa4f7fc41d1908c664.png", "website": "https://getbluebook.com", "all_locations": "Stockholm, Stockholm County, Sweden", "long_description": "Bluebook is building AI agents for accounting firms to accelerate research, reconciliations and monthly closings. We allow professionals to serve 200 clients instead of just 20. With research time cut by 30% accountants can provide more strategic advice to help their clients thrive. The 30 leading firms in the Nordics already use Bluebook.\r\n\r\nThe accounting industry faces a perfect storm: a massive CPA retirement wave (75% in the coming 15 years), increasing complexity from globalization and new regulations, and private equity consolidation driving productivity demands. LLMs enables software that can understand context, adapt to new scenarios, and handle complex accounting tasks with human-like reasoning - capabilities that traditional rule-based software lacks.", "one_liner": "AI for accounting", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1739450063, "tags": [ "Fintech", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "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/bluebook", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/bluebook.json", "year_founded": 2024, "city": "Stockholm", "country": "SE", "linkedin_url": "https://www.linkedin.com/company/bluebook-accounting", "x_url": "https://x.com/bluebookhq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ab67c5f36b05352c3fb1a5fa4f7fc41d1908c664.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": 1666667, "full_name": "Philip Andersson", "title": "Founder/CEO", "founder_bio": "Self-taught AI builder and seasoned founder. Developed my first webpage at age 8, founded my first company at 17, built a software consultancy generating millions in revenue, exited a product company, launched many failures. Last years spent as engineering leader at startups such as FirstVet, Mindler and Epidemic Sound.", "is_active": true, "linkedin_url": "https://linkedin.com/in/phiandersson", "x_url": "https://x.com/phiandersson", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9d1eee79b4051b74a04a399bed56a77ffcbe3464.jpg" }, { "user_id": 2091916, "full_name": "Filip Stål", "title": "Founder/CTO", "founder_bio": "Happy guy that loves to build, exercise & cook food. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/filip-st%C3%A5l-464849229/", "x_url": "https://x.com/stal_filip", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ea1fd6aaa394127e63211fc894636421770d0482.jpg" } ], "jobs": [], "news": [ { "title": "Y Combinator alumni Bluebook raises $3M to build AI agents for accounting firms - Tech.eu", "url": "https://tech.eu/2025/02/13/y-combinator-alumni-bluebook-raises-3m-to-build-ai-agents-for-accounting-firms/", "date": "Feb 13, 2025" }, { "title": "“Self-driving accounting”: Bluebook secures €2.4 million for AI-powered accounting – BeBeez International", "url": "https://bebeez.eu/2025/02/13/self-driving-accounting-bluebook-secures-e2-4-million-for-ai-powered-accounting/", "date": "Feb 13, 2025" }, { "title": "Bluebook Raises $3M to Build AI Agents for Accounting Firms with Pre-Seed Led by EQT Ventures  - CPA Practice Advisor", "url": "https://www.cpapracticeadvisor.com/2025/02/13/bluebook-raises-3m-to-build-ai-agents-for-accounting-firms-with-pre-seed-led-by-eqt-ventures/156006/", "date": "Feb 13, 2025" }, { "title": "EQT Ventures Backs Bluebook: AI is Redefining Accounting | by EQT Ventures | eqtventures | Feb, 2025 | Medium", "url": "https://medium.com/eqtventures/eqt-ventures-backs-bluebook-ai-is-redefining-accounting-afa7493cea4f", "date": "Feb 13, 2025" }, { "title": "Bluebook Raises Millions From EQT and Angels – Silicon Valley Nordic Beat", "url": "https://svnordicbeat.com/bluebook-raises-millions-from-eqt-and-angels/", "date": "Feb 13, 2025" } ], "launches": [] }, { "id": 30335, "name": "Butter", "slug": "butter", "former_names": [ "Pig" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/616354db5e38ecd097137217ccbf16454422e9de.png", "website": "https://butter.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Butter is building bVisor, an incredibly lightweight sandbox runtime for AI agents.\r\nIt embeds directly into your local process, providing a safe bash environment without the overhead of VMs or remote infra.", "one_liner": "Embedded Sandboxes for Agents", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1737747738, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What's the history of your company from getting started until the present day? What were the big inflection points?", "answer": "* Dec 11: First line of code* Jan 21: Launched serverless VM cloud platform → learned users need to self-host* Feb 16: Launched Piglet computer driver for self hosting → learned implementing agent loops is high friction* Feb 27: Launched Agent layer (chat, soon API) to get users to successful automations faster" }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "RPA is brittle, and gatekept by consultants who benefit from the need to constantly rewrite automations. For more AI-forward developers building products on top of legacy apps, they have to resort to insecure hacks, like exposing backdoors on their users’ computers, simply to get an automation pushed down it, after which they still must deal with the brittleness inherent to hardcoded automations.I’m deeply excited about this problem because, despite all the change in the world with AI, one thing is for certain: enterprises will keep using Windows." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "As the global labor output increases tenfold with agents, we’ll be the personal computers they use to interface with the business world." } ], "url": "https://www.ycombinator.com/companies/butter", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/butter.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/butter-dot-dev", "x_url": "https://x.com/butterdev_", "fb_url": null, "cb_url": null, "github_url": "https://github.com/butter-dot-dev", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/616354db5e38ecd097137217ccbf16454422e9de.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": 265552, "full_name": "Erik Dunteman", "title": "Founder/CEO", "founder_bio": "Founder and CEO at Butter.dev (acquired by Modal 2026). I work on sandboxing, filesystems, and virtualization. Previously founded Banana.dev, a serverless GPU platform where we hosted production-critical inference jobs for more than 3,000 AI teams. I run ultras and enjoy travelling with zero plans.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/edunteman/", "x_url": "https://x.com/erikdunteman", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b65ce2cc89cc4392d1bfe247402d5c0f4b1f95d6.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87161, "title": "Pig 🐷 - Automate Windows apps with AI", "tagline": "Pig is an API for automating workflows in Windows applications.", "body": "# TL;DR\n\n[Pig](https://pig.dev) is an API for automating Windows desktops with AI.\n\nTeams can connect their own Windows machines to Pig, open up a chat, and instruct an AI to perform workflows on that computer, over the internet.\n\nPig’s agent operates computers as humans would, performing high-value automations that were previously not possible. \n\n[Sign up here](https://www.pig.dev/login#auth-sign-up)\n\n# The Problem\n\nMany enterprise tools, from electronic health records to manufacturing supply-chain apps, are desktop-based and do not have a public API, preventing automation.\n\nTraditional hardcoded RPA automations can be brittle. Subtle changes in the desktop apps, like popups or slow loading, can derail an automation. And complex workflows which require planning and judgment are not possible.\n\nAs a result, human office workers are employed to do highly repetitive tasks, often involving transferring text between different desktop apps, spreadsheets, and emails.\n\n# Our Solution\n\n\n\nIn this example, we show what’s possible building on Pig. \n\nWe first connect our own Windows machine using our open-source [Piglet](https://github.com/pig-dot-dev/piglet) computer driver\n\nAnd then we start an AI chat powered by the [Claude Computer-Use](https://docs.anthropic.com/en/docs/build-with-claude/computer-use) model:\n\n![Chat interface for automation](https://www.pig.dev/_next/image?url=%2FChatFeature.png&w=3840&q=75&dpl=dpl_GKdZd2HZi9eL2zCkbzmv3rzJACTW)\n\nThe AI is then given high-level tasks, and it begins to work, using Pig’s human-emulating APIs such as:\n\n* Screenshotting the desktop screen\n* Clicking at coordinates\n* Entering keystrokes\n\nAll of which are enough to complete the task.\n\nPig also provides a developer SDK, allowing teams to build their own agents, manage their connected machines, and send automations to their desktops. Purpose-built agents can be incredibly powerful, so [contact us here](https://www.pig.dev/talk) to talk through custom implementation.\n\n![uploaded image](/media/?type=post&id=87161&key=user_uploads/265552/644dc367-8cac-45ba-b919-22e6664088b4)\n\nLastly, Pig includes tools for agents to pass control to human operators during critical operations, such as clicking send on important emails, inputting payment information, or solving captchas.\n\n![uploaded image](/media/?type=post&id=87161&key=user_uploads/265552/d4cec1ed-390a-4ba1-8c48-b5d5173e9668)\n\nWe intend to be the personal computers for AI, and the embeddable observability window for managers.\n\n# Use Cases\n\nKiller use-cases of Pig involve the following factors:\n\n* the workflow requires a Windows desktop app\n* The app does not have a public API\n\nI expect to be surprised by what people build on Pig, but I’m most optimistic for use of:\n\n* Office Suite\n* Electronic Health Record Software\n* Claims Processing Software\n* Factory Control Systems\n* Lab Software\n\n# Team & Background\n\nI’m Erik, a second-time founder, with five years spent building cloud infrastructure.\n\n![uploaded image](/media/?type=post&id=87161&key=user_uploads/89898/6b51d5af-79d8-4d30-ad7e-f3e221dd3b53)\n\nMost notably, I built [Banana](https://banana.dev), a serverless GPU product used by more than three thousand teams to host production inference jobs.\n\nPrior to Banana, I built a cloud desktop product for accelerating 3D design apps. Following Banana, I had the privilege to work with our former competitor, [Modal](https://modal.com), on their serverless Python cloud.\n\nWhy am I building Pig?\n\nThroughout 2024, I spent my time experimenting with new technologies and building up a thesis for what the future of AI tooling would be. After poking around a few wild ideas (such as data centers in space and internet-over-laser), I boomeranged back to the area that I know and love: compute infrastructure.\n\nAn AI founder friend called me up in Nov 2024, pitched me on this idea as something he needed to see in the world, and said, “Erik, you’re the single best founder to build this.”\n\nAnd I agree. I am.\n\n# How to become a user\n\nPig just launched open and free access to users self-hosting their machines.\n\nGet started today at [**pig.dev/docs**](http://pig.dev/docs), or [**contact us**](https://pig.dev/talk) for help building custom agents and I’ll reach out!\n\nAnd if you don’t need Pig, please tell at least one friend about it.\n\nOink!\\\nErik\n\n![uploaded image](/media/?type=post&id=87161&key=user_uploads/265552/70b01c11-9da9-4db0-976c-1162ca31f323)\n\n", "url": "https://www.ycombinator.com/launches/Mfp-pig-automate-windows-apps-with-ai", "votes": 29, "created_at": "2025-01-25T05:15:55.541Z" } ] }, { "id": 30337, "name": "Paratus Health", "slug": "paratus-health", "former_names": [ "Paratus" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fcaf4d4e89631a63bee94c1af531a630ac0f1858.png", "website": "https://paratushealth.com/", "all_locations": "New York City, NY, USA", "long_description": "Voice agents for outpatient facilities. ", "one_liner": "healthcare AI", "team_size": 4, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1739954707, "tags": [ "Sales", "Sales Enablement", "Digital Health", "Healthcare IT" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": true, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/paratus-health", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/paratus-health.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/paratus-health/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fcaf4d4e89631a63bee94c1af531a630ac0f1858.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/70/1741807853-4e74bb6851349ddc607610d367b3dd46/4d0f81547b253eff6f3f00ae0047ec04.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022726Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=ce838e0372ebfa554a87bea011581fffbf8a4a45b64c11c96fcb37310c4d9b8f", "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/b044e323692159f97fcd12881fd4c38108d67922.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 2004293, "full_name": "Pablo Bermudez-Canete", "title": "Founder/CEO", "founder_bio": "Digital Healthcare | Stanford CS - AI | Spain", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pablobermudezcanete?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1142e0d8482be3da770fba2914975682f4f1fb26.jpg" }, { "user_id": 1786718, "full_name": "Tannen Hall", "title": "Founder/CTO", "founder_bio": "Digital Healthcare | Stanford CS - AI", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tannen-hall/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/22564959168e9d076dcb70069660cc92637b541f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87836, "title": "Paratus Health – Conversational Patient Intake", "tagline": "A conversational agent that prescreens patients like an intake nurse.", "body": "### **Introducing Paratus – AI-Powered Patient Intake**\n\n**TL;DR**\n\nPatients wait months for an appointment, often with no guidance or symptom tracking in the meantime. When they finally see a doctor, the first 5-10 minutes of the visit are wasted gathering history instead of diagnosing and treating.\n\n**Right now, there are only two ways to handle patient intake:**\n\n* **Static intake forms** – Miss key details, forcing doctors to play catch-up.\n* **Triage nurses** – Costly, difficult to scale, and still prone to oversight.\n\nParatus changes this. Our AI-powered intake assistant gathers symptoms, flags concerns, and delivers a structured clinical summary before the visit even starts—so doctors walk in fully informed.\n\nWatch our demo [here](https://youtu.be/KHh7fp5svY8).\n\n### **It’s Time for a New Wave of AI-Powered Intake**\n\n✅ **Conversational AI engages patients before their visit,** collecting deeper insights than any form ever could.\\\n✅ **Doctor-approved triage** – Uses **500+ Schmitt-Thompson protocols** and cross-checks medical literature.\\\n✅ **Instant structured reports** – Doctors walk in fully prepared with:\n\n* Symptom history & differential considerations\n* Next steps & testing recommendations\n* A pre-visit SOAP note for the EHR\n* A full conversation transcript for review\n\n**Think of it as a triage nurse who never misses a detail—at a fraction of the cost.**\n\n### **How It Works**\n\n1. **Instant Patient Connection** – The patient clicks an SMS link and connects with our AI assistant.\n2. **Conversational AI Consultation** – Our AI dynamically adapts to responses, uncovering key details just like a triage nurse.\n3. **Automated Pre-Visit Reports** – We run the full transcript through our fine-tuned LLM, extracting structured insights for the doctor.\n\n### **The Problem: Long Waits & Inefficient Intake**\n\n* **Months-long wait times** leave patients in limbo with no support.\n* **Doctors start visits blind**, leading to rushed decisions and missed symptoms.\n* **Triage nurses are expensive and inefficient**, yet essential for collecting high-quality data.\n\nParatus solves these problems, ensuring patients feel heard before their visit and doctors can focus on diagnosis, not data collection.\n\n### **What Patients Are Saying**\n\n_\"I called as a mother for my son’s ear pain. I was impressed by the AI’s clarity, empathy, and ability to ask the right questions. Honestly, it was better to talk to than a real nurse!\"_\n\n### **Why Us?**\n\nBest friends Tannen Hall and Pablo Bermudez-Canete, both AI students from Stanford, founded Paratus Health to fix a problem they experienced firsthand—the broken patient intake process.\n\nFor 11 years, Tannen watched his family members - and himself - grow sicker without a diagnosis for a rare disease. They endured months-long waits for every appointment, only to leave with more questions than answers. Each new doctor started from scratch, missing critical details that could have led to the right diagnosis sooner. By the time they finally got answers, it was too late to undo the damage.\n\nThat experience left Tannen frustrated with a system that forces patients to wait in limbo while their health deteriorates. He wrote about this problem in his Stanford application, and today, there is no one more determined to fix it.\n\nNow, he and Pablo are building Paratus, an AI-powered intake platform that ensures no patient is left waiting without support and no doctor walks in unprepared.\n\n![uploaded image](/media/?type=post&id=87836&key=user_uploads/1786718/3a9b560c-8f62-4376-9297-67a19ff14f04)\n\n### **Our Vision**\n\nA world where doctors walk in ready to diagnose, not gather symptoms- because every patient’s full story is already in their hands.\n\n### **Our Ask**\n\nWe’re currently running pilots and looking to connect with:\n\n* Hospitals\n* Physician offices\n* Outpatient facilities\n* Private clinics\n\nBook a demo [here](https://calendly.com/pablo-paratushealth/30min?month=2025-02)!\n\nIf you know someone who should see this, we’d love an introduction! Reach us at [pablo@paratushealth.com](https://mailto:pablo@paratushealth.com) or on [linkedin!](https://www.linkedin.com/company/paratushealth/)\n\n**Let’s fix patient intake - so doctors can focus on care.**", "url": "https://www.ycombinator.com/launches/Mqi-paratus-health-conversational-patient-intake", "votes": 94, "created_at": "2025-02-19T22:11:23.963Z" } ] }, { "id": 30338, "name": "CopyCat AI", "slug": "copycat-ai", "former_names": [ "Platter", "CopyCat" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d0b6fa2626fafdcdd87ec75360df8375ffa48bb3.png", "website": "https://runcopycat.com", "all_locations": "Seattle, WA, USA", "long_description": "CopyCat builds AI for commercial, personal & benefits insurance brokers. It turns carrier quotes and policy documents into branded proposals, quote comparisons, and coverage reviews, and helps teams check policies and review insurance contracts, flagging discrepancies and documenting findings with source references. ", "one_liner": "AI for Commercial Insurance Agencies", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1734580429, "tags": [ "Insurance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Fintech", "Insurance" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Every business in America needs insurance, and most of them get it through an independent agent. Those agents spend their days fighting through deals, quotes, and underwriting back-and-forth to make sure their clients are actually taken care of. A lot of that fight is retyping: a submission comes in as emails, PDFs, and spreadsheets, and someone has to enter it into their system, reformat it for each carrier, and compare the quotes that come back. Renewals, claims, and benefits proposals work the same way.\r\n\r\nThere are more than 40,000 independent agencies in the US. Their growth is limited by how many people they can hire, and experienced insurance staff are hard to find. Every hour spent on data entry is an hour not spent looking after clients.\r\n\r\nWe saw this firsthand while training brokerage teams to use AI. The people doing the work were skilled and cared a lot, and their software wasn't helping them. Agents take care of their customers. We want to take care of the agents." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "Every business in America needs insurance, and the industry behind it is massive: US property and casualty premiums hit $1.1 trillion in 2025. Independent agents are the ones who actually take care of those customers, placing 62% of all P&C insurance and nearly 88% of commercial lines.\r\n\r\nBut the leverage sits with large entities. A quarter of every premium dollar goes to overhead, with an industry expense ratio of 25.2%, which is roughly $240 billion a year spent acquiring, processing, and servicing policies. The four biggest carriers alone spent over $7.5 billion on advertising in 2024. Scale wins, even when a local agent would serve the client better.\r\n\r\nAI already let a single engineer build what used to take a whole team. We're doing the same for insurance agents. If we succeed, a two-person agency will run like a hundred-person shop, and the best agent will win regardless of size. Shifting that $240 billion in overhead back toward the agents who own the relationships could be one of the largest transfers of value to small businesses in a generation.\r\n\r\nWe're the ones to do it because we've lived inside this work. We trained brokerage teams on AI before we built anything, took the commercial insurance course & test to understand the job from the agent's side of the desk, and still personally call every agency that books a demo." } ], "url": "https://www.ycombinator.com/companies/copycat-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/copycat-ai.json", "year_founded": 2024, "city": "Seattle", "country": "US", "linkedin_url": "https://www.linkedin.com/company/copycat-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d0b6fa2626fafdcdd87ec75360df8375ffa48bb3.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": 688190, "full_name": "Graham Sabin", "title": "Founder", "founder_bio": "Co-Founder @ CopyCat. Previously I was building Platter, serving hundreds of restaurants, processing hundreds of thousands of dollars every month. I've worked at multiple Series A startups, building products used by millions.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/grahamsabin/", "x_url": "https://x.com/GrahamSabin", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fc149a017773e9077b97f729c4ea4af5c434aaeb.jpg" }, { "user_id": 1300501, "full_name": "Abhi Balijepalli", "title": "Founder", "founder_bio": "Co-founder @ CopyCat | Ex eng @ Zoom. Grew up in Seattle, love PNW.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/a8hi/", "x_url": "https://x.com/a8hi_b", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1a25c2f84df010a7657fbea5462b9945bd76758e.jpg" } ], "jobs": [ { "id": 112973, "title": "Founding Account Executive", "url": "https://www.ycombinator.com/companies/copycat-ai/jobs/UYCapE4-founding-account-executive", "location": "Seattle, WA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $170K", "equity_range": "0.30% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 30339, "name": "Ergo", "slug": "ergo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a2d5f1e26b979ee4eabfed131c5f771fc09a4639.png", "website": "https://joinergo.com", "all_locations": "San Francisco, CA, USA", "long_description": "Ergo is AI revenue infrastructure for B2B sales teams. It ingests every customer interaction (calls, email, Slack, calendar) and turns it into deal health scores, forecasts, ready-to-send follow-ups, rep coaching, and clean pipeline data, automatically. Reps skip the admin, deals stop slipping, and leaders get a pipeline they can actually trust.\r\n\r\nTeams can use Ergo to consolidate and replace tools like Gong, Attention, Superhuman, Vitally, call recorders, and more. Onboarding backfills your historical calls, emails, and deal data, so you don't start from scratch.\r\n\r\nErgo is backed by Y Combinator and FundersClub, and trusted by sales teams at Pylon, Rho, Retell AI, Warp, Oneleet, and Whop.\r\n\r\nBook a demo at joinergo.com.", "one_liner": "Ergo is the context layer that helps revenue teams close more deals.", "team_size": 9, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1737484568, "tags": [ "SaaS", "B2B", "Sales", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Sales" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ergo", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/ergo.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ergoai/", "x_url": "https://x.com/yashdulla", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a2d5f1e26b979ee4eabfed131c5f771fc09a4639.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": 1783321, "full_name": "Yash Dulla", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO at Ergo, Yash is a previous founder of Breezy Medical, AI for healthcare documentation and reimbursements. He studied engineering at Georgia Tech, where he also lead research in biomedical devices, and won Stanford's Hackathon in 2024. If Yash wasn't working on Ergo, you would likely find on the golf course every day.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yash-dulla/", "x_url": "https://x.com/yashdulla", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6287447d7517ba1d65b2832ffc0582d46a1913a9.jpg" }, { "user_id": 1607244, "full_name": "Ishan Sheth", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO of Ergo. Studied Computer Science and Economics at Georgia Tech. Previously founded Breezy Medical, which provided AI nurses for medical documentation and reimbursements. Also did software/ML for a handful of tech startups and a bank.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/isheth/", "x_url": "https://x.com/ishansheth_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3ef401d77b66fb0fabdbae93d0795c49a27bcf91.jpg" } ], "jobs": [ { "id": 85469, "title": " Sales Development Representative", "url": "https://www.ycombinator.com/companies/ergo/jobs/N4uRYHv-sales-development-representative", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$85K - $105K", "equity_range": "0.05% - 0.10%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 104837, "title": "Founding Account Executive", "url": "https://www.ycombinator.com/companies/ergo/jobs/M4V6K9g-founding-account-executive", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$260K - $310K", "equity_range": "0.10% - 0.40%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 104838, "title": " Sales Development Representative", "url": "https://www.ycombinator.com/companies/ergo/jobs/9EzPf70-sales-development-representative", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$85K - $105K", "equity_range": "0.05% - 0.10%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 87020, "title": "Ergo – Revenue infrastructure for high-growth sales teams", "tagline": "We connect every conversation your team has and build the unified data layer that moves deals forward.", "body": "**We're Yash and Ishan, co-founders of Ergo.**\n\n**Ergo is the revenue infrastructure for teams growing faster than their systems can keep up.** We connect the conversations your team is already having, across calls, email, Slack, and more, and build a unified data layer that moves deals forward.\n\nTeams like [Rho](https://rho.co), [RetellAI](https://retellai.com), [Whop](https://whop.com), [Agency Cybersecurity](https://getagency.com), [Corgi](https://corgi.insure), and [Greptile](https://greptile.com) are already running on Ergo.\n\n**📉 The Problem**\n\nRevenue teams are drowning in fragmented data. Your reps are on six different communication channels. None of it connects. None of it acts on itself.\n\n* Deals slip because no one followed up at the right moment\n* Leadership asks reps what's happening instead of just knowing\n* Marketing sequences run on empty fields because the right data never made it in\n* AEs walk into calls without context because handoffs live in someone's Slack DMs\n\nThe conversations are happening. The signal is there. It just never goes anywhere.\n\n**📈 The Solution**\n\nErgo plugs into every channel where your team talks to prospects and customers and builds a unified data layer across all of it. Every call, email, and message gets structured into a single source of truth your entire revenue org can act on.\n\n* **For revenue teams:** Structured deal data captured automatically across every call, email, and message, without touching your CRM\n* **For reps:** Follow-ups drafted and surfaced at the right moment, every time\n* **For managers and founders:** Real-time pipeline visibility without chasing anyone for updates\n* **For RevOps and marketing:** Clean, structured data that actually powers your sequences and reporting\n\n**⚙️ How It Works**\n\n1. **Connect your channels** — Zoom, Google Meet, Gmail, Outlook, Slack, dialers. Wherever your team talks to customers, Ergo listens.\n2. **Structure the signal** — Every conversation becomes structured, actionable data across your pipeline.\n3. **Execute on what's next** — Follow-ups drafted. Deals surfaced. Pipeline moving. No manual work required.\n\n**🎬 Our Story**\n\nWe started at Georgia Tech, and got our first real signal at a YC-backed startup in SF. We spent four days embedded with their sales team and watched 15-20 daily calls evaporate into missed follow-ups and stale records. We built a first version over a weekend that unlocked $75K in closed contracts. That problem turned out to be everywhere.\n\nToday Ergo supports revenue teams running their entire bottom-of-funnel motion, from first conversation to close to expansion, without the admin.\n\n**👉 [joinergo.com](http://joinergo.com)** Questions? [yash@joinergo.com](mailto:yash@joinergo.com) or [ishan@joinergo.com](mailto:ishan@joinergo.com)", "url": "https://www.ycombinator.com/launches/MdY-ergo-revenue-infrastructure-for-high-growth-sales-teams", "votes": 23, "created_at": "2025-01-21T19:55:12.638Z" } ] }, { "id": 30340, "name": "TamLabs", "slug": "tamlabs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/34b8a98c2f9db316565bd733e8ce6e18bca1bb3b.png", "website": "https://tamlabs.ai", "all_locations": "San Francisco, CA, USA", "long_description": "TamLabs agent teams deliver professional work products with speed and precision.", "one_liner": "Agent teams for complex work", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1740176772, "tags": [ "Finance", "Workflow Automation", "Legal", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 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/tamlabs", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/tamlabs.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tamlabs", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/34b8a98c2f9db316565bd733e8ce6e18bca1bb3b.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": 2271465, "full_name": "Joshua Doolan", "title": "Founder/CEO", "founder_bio": "Founder & CEO at TamLabs (W25). Previously, Blackstone Data Science, deployed AI solutions across PE portfolio and led data science diligence for PE. Harvard AB/SM in Computer Science, focus in AI.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joshua-doolan", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1e1bc8f61814e07251588f88fb46036f2d8aae3f.jpg" }, { "user_id": 2271471, "full_name": "Ben Doolan", "title": "Founder/COO", "founder_bio": "COO & Co-Founder at TamLabs. Worked across private equity, consulting and policy. Studied physics and classics at Georgetown. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ben-doolan-66aa64204/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1c5af637d92d41111507e191aa357615682cd624.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30341, "name": "Browser Use", "slug": "browser-use", "former_names": [ "browser-use" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c098c79c1154d878f59439428e54fe98a83295a2.png", "website": "https://browser-use.com", "all_locations": "San Francisco, CA, USA", "long_description": "We enable AI to control the browser. \r\nBrowser-use is the biggest open-source web agent project with 110k+ Github stars.", "one_liner": "Agents that use the browser.", "team_size": 7, "industry": "B2B", "subindustry": "B2B", "launched_at": 1734712888, "tags": [ "Open Source", "API", "Automation", "AI" ], "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/browser-use", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/browser-use.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/browser-use", "x_url": "https://x.com/browser_use", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/browser-use", "github_url": "https://github.com/gregpr07/browser-use", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c098c79c1154d878f59439428e54fe98a83295a2.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": 2614311, "full_name": "Magnus Müller", "title": "Founder/CEO", "founder_bio": "CEO of browser-use.\nRepeated founder. Scraping hobbyist + ML researcher.\nI have published for Cambridge CARES, studied Data Science at ETH Zurich, and worked in R&D for process automation companies. \nSince I learned to code, I have developed bots and web automations.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/magnus-mueller ", "x_url": "https://x.com/mamagnus00", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ed8efa118458bf376ecd96aab3e4017fb16ee229.jpg" }, { "user_id": 2611702, "full_name": "Gregor Zunic", "title": "Founder/CTO", "founder_bio": "I love solving hard problems. Data Science masters at ETH Zurich, bachelors in Physics.", "is_active": true, "linkedin_url": "https://linkedin.com/in/gregorzunic", "x_url": "https://x.com/gregpr07", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e41c2f60aa7a0d2a3d38cf19d6d87d9f5c8ca3ef.jpg" } ], "jobs": [ { "id": 75451, "title": "Summer Software Engineering Intern (now and Summer 2026)", "url": "https://www.ycombinator.com/companies/browser-use/jobs/JwGWpEP-summer-software-engineering-intern-now-and-summer-2026", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$6K - $16K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [ "Python" ] }, { "id": 75884, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/browser-use/jobs/jDXD9an-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$175K - $300K", "equity_range": "0.50% - 1.00%", "experience": "1+ years", "visa": "Will sponsor", "skills": [ "Python", "Machine Learning" ] }, { "id": 79630, "title": "Infra god", "url": "https://www.ycombinator.com/companies/browser-use/jobs/8BYM83A-infra-god", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$200K - $350K", "equity_range": "0.50% - 1.40%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Amazon Web Services (AWS)", "Go", "Python", "Rust" ] }, { "id": 107014, "title": "Founding Forward-Deployed Engineer", "url": "https://www.ycombinator.com/companies/browser-use/jobs/ji4Im8S-founding-forward-deployed-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200 - $300", "equity_range": "0.50% - 1.20%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 107158, "title": "Founding Engineer (ex-YC founders only)", "url": "https://www.ycombinator.com/companies/browser-use/jobs/rxVZd5T-founding-engineer-ex-yc-founders-only", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $400K", "equity_range": "0.50% - 1.40%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Browser Use, the tool making it easier for AI 'agents' to navigate websites, raises $17M | TechCrunch", "url": "https://techcrunch.com/2025/03/23/browser-use-the-tool-making-it-easier-for-ai-agents-to-navigate-websites-raises-17m/", "date": "Mar 23, 2025" }, { "title": "Browser Use, one of the tools powering Manus, is also going viral | TechCrunch", "url": "https://techcrunch.com/2025/03/12/browser-use-one-of-the-tools-powering-manus-is-also-going-viral/", "date": "Mar 12, 2025" } ], "launches": [ { "id": 87243, "title": "Browser Use: Open Source alternative to OpenAI Operator", "tagline": "We enable AI to control your browser.", "body": "Hey everyone, we're Gregor and Magnus we are excited to launch Browser Use Cloud!\n\n# What is Browser Use (Cloud)?\n\nWe started this project 3 months ago because it simply wasn’t possible to use the Browser with any LLM. We thought “How hard could it be to build the interface between LLMs and the web?” Fast forwarding 3 months, we have combined 25k ⭐ on Github and our Open Source community is growing fast.\n\nFour days ago, OpenAI launched Operator. Since then, our community has been asking non-stop for a hosted version of browser-use. So we shipped that. Now you can use Browser Use as a B2C chat tool at . We are releasing the API in the next few days. If you need API access for web agents, call us, don’t wait for the Open AI Operator API to be released!\n\n![uploaded image](/media/?type=post&id=87243&key=user_uploads/1367312/bc5949c1-a906-4131-a621-d7da318dda1a)\n\n# Existing problems\n\nDuring many conversations with our discord community of 5000 people, we identified these core challenges in browser automation:\n\n* Websites change, and this breaks automation scripts. You usually only notice this, when it's too late.\n* Websites often catch bots. To avoid this, you need to use different IP addresses, solve captchas, and act more like a human.\n* Many people get frustrated with rate limits, parsing errors and API key management, when they do LLM-based scraping.\n* The most useful tasks often require you to log in. This can be a pain, especially if you have to type in your username and password every time.\n\n[Browser Use hosted version](https://cloud.browser-use.com/) addresses these challenges by handling proxy rotation, maintaining persistent sessions - so you only need to login once, and allowing you to run as many instances in parallel as you need. We've priced it at $30/month, significantly lower than Operator.\n\nOn the open-source side, browser-use remains free and flexible. You can use any LLM you prefer - from Gemini to Sonnet, Qwen, and even DeepSeek-R1. It comes with an MIT license and full customisation options.\n\nThis week, we're working on follow-up questions, task reruns, voice mode, and scheduled agent starts. If you want to build automations directly into your products call us, we are happy to explore your use cases and help you set get set up with the API or even custom integration.\n\n**Our vision is simple**: tell your computer what to do, and it gets it done.\n\n![uploaded image](/media/?type=post&id=87243&key=user_uploads/1367312/1ac17208-7147-4696-aa13-7e67a4be8329)\n\nWe'd love to hear from you. What automation challenges are you facing? How do you think people will interact with computers in the future?", "url": "https://www.ycombinator.com/launches/Mh9-browser-use-open-source-alternative-to-openai-operator", "votes": 47, "created_at": "2025-01-28T18:40:53.679Z" } ] }, { "id": 30343, "name": "Cedar", "slug": "cedar", "former_names": [ "ByteBelli", "lawyai (name in progress)", "GraphIQal" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8d689d59276a36e33100281dbe98a74bcaf59a06.png", "website": "https://mail.cedarcopilot.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Cedar helps the fastest growing GTM teams ramp up new reps faster & spread top rep playbook throughout the team. AE's at Cursor, Corgi, Pylon, and Warp use Cedar to save 75% of admin time on CRM updates, follow-ups, and deal strategy. \r\n\r\nBacked by YC with an ex-Figma, Notion, and Intuit team, Cedar was built by spending hundreds of hours with the best AE's in industry – we've built a playbook for the fastest growing teams and founders ramping up sales, and we'll use it to automate the busy work so you can sell more, better.", "one_liner": "Execute the best sales playbook in industry", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1739293549, "tags": [ "Sales", "Sales Enablement", "CRM", "Email" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 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": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "We're going to make all software agentic. Currently we're adding an AI native copilot that's deeply understanding users and products at scale, and generating instructions for users. These instructions are just the first step for executing tasks for the user directly and autonomously." } ], "url": "https://www.ycombinator.com/companies/cedar", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/cedar.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cedarcopilot", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8d689d59276a36e33100281dbe98a74bcaf59a06.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": 561766, "full_name": "Jesse Li", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO at Cedar. \n\nB.S. in Computer Science at Georgia Institute of Technology.", "is_active": true, "linkedin_url": "https://linkedin.com/in/jesseli751", "x_url": "https://x.com/fish_in_a_pool", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a47b7c8b3340e195a7728c8502a1900c8307a5a9.jpg" }, { "user_id": 1652458, "full_name": "Isabelle Ilyia", "title": "Founder/CTO", "founder_bio": "CTO @ Cedar (YC W25). Previous software engineer @ Figma, Notion, and LinkedIn.\n\nStudied Computer Science @ Georgia Tech.", "is_active": true, "linkedin_url": "https://linkedin.com/in/isabelle-i ", "x_url": "https://x.com/isabelleilyia", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5eac10f537c8b9f14b78bfabd0ec645d708071ac.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87967, "title": "Cedar 🌲 In-product AI copilot & PMF analytics for any app", "tagline": "Cedar is an AI copilot for any app. Imagine the founders themselves being behind every user’s screen: actively guiding them, answering product how-to’s, and upselling.", "body": "Hi everyone! It’s Jesse & Isabelle from Cedar :)\n\n### How do we productise conversion optimisation?\n\nIn business terms, we do two things:\n\n1. We let you understand your user’s stories at scale. What do they want from your solution? What are they specifically trying to do on your software? Who are they?\n 1. We do this by pulling your existing analytics and adding a thin layer of our own. You can re-target churned users when a relevant feature comes out, inform product roadmaps, and most importantly use it to find PMF.\n\n ![uploaded image](/media/?type=post&id=87967&key=user_uploads/561766/7f7d6dc9-b759-454c-a897-e94b5dd76197)\n\n2. We use those analytics to increase conversion & retention, from pre-sale to activation/onboarding and beyond.\n 1. Create individualised sales materials and activation flows to bring more users to their magic moment.\n 2. Instead of not knowing how to do X and being blocked until customer support replies (or worse, churning), Cedar instantly responds.\n\n ![uploaded image](/media/?type=post&id=87967&key=user_uploads/561766/aa9b2e93-ed62-469a-9f49-c1e4a1de8596)\n\n\nThink of a general-use product like Notion. Imagine if every user saw a landing page that explains **exactly** how Notion helps them reach their goals. When they sign up, an activation flow walks them through solving a relevant problem they face every day. Then, as they use the app, an AI copilot makes them a power user, without the need to leave the app.\n\n### Demo Video\n\n\n\n### Our story\n\nIn more personal terms, we find it deeply wrong that people make awesome, valuable software that doesn’t reach people simply because of things like UI/UX or messaging. We turn every user into a power user - with the retention and promoter scores that come with it.\n\nWhile AI is scaling engineering teams, we’re going to be the growth and customer success team in one product, with one centralized source of user knowledge.\n\nJesse worked at Intuit, learning the science and fun of making boring software (don’t tell TurboTax) that converts and serves customers of all tech literacy levels.\n\nIsabelle worked at Figma and Notion, learning the struggles of getting users to effectively use powerful yet complex products and the GTM strategies to reach them.\n\n![uploaded image](/media/?type=post&id=87967&key=user_uploads/561766/5e1e1044-3d46-4999-a6d8-d6ee4c3713c8)\n\n### Ask:\n\nIf you’re interested, or know any companies interested in:\n\n* Activation Conversion: Increasing % of users who get relevant value from your product at least once.\n* User Intent Analytics: Understanding what are your users trying to do, when and why they churn to intervene at the right moment, and re-engaging users based on criteria (e.g target users who churned due to missing features once implemented)\n* Flattening learning curves: Value is useless if your customer doesn’t know how to effectively use your product to get it (both pre and post-sale).\n\nPlease reach out! Email us at [founders@cedar.law](mailto:founders@cedar.law), we’re already working with companies from seed to series A and would love to help more, whether with just a chat or a full partnership :)", "url": "https://www.ycombinator.com/launches/Msp-cedar-in-product-ai-copilot-pmf-analytics-for-any-app", "votes": 46, "created_at": "2025-02-25T18:04:40.924Z" } ] }, { "id": 30345, "name": "Codevisor", "slug": "codevisor", "former_names": [ "851 Inc.", "851", "AI Emojis", "emojis", "emojis.com", "Lightbox", "emojis.com", "Tee Time Tommy" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/36fd79daacb53819fc86fd68b564556a5bd51a64.png", "website": "https://www.codevisor.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Codevisor is an open-source native macOS app for agentic engineering. Run Claude Code, Codex, Pi, and any ACP-compatible coding agent on your own machines in one place.\r\n\r\nCodevisor brings agent chats, projects, and an integrated terminal into a single workspace. Connect remote Macs or Linux servers to run agents where your code lives and keep working across machines.", "one_liner": "The fastest native app for agentic engineering.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1740542821, "tags": [ "Developer Tools", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 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/codevisor", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/codevisor.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/851-inc", "x_url": "https://x.com/codevisor", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/emojis-com", "github_url": "https://github.com/851-labs", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/36fd79daacb53819fc86fd68b564556a5bd51a64.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e1a765840117cd5cfd592b434486669e6b9fea4f.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 688130, "full_name": "Alexandru Turcanu", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO at emojis.com. Previously, led posts initiative at Campsite (acq by Notion).", "is_active": true, "linkedin_url": "https://linkedin.com/in/pondorasti", "x_url": "https://x.com/pondorasti", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4f39ed91df05d568170e7121e7497af5653ec5b5.jpg" }, { "user_id": 1750881, "full_name": "Dylan Player", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO at emojis.com", "is_active": true, "linkedin_url": "https://linkedin.com/in/dylan-player", "x_url": "https://x.com/dylanplayer", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7f45d723627f325740a69053cae02ad64844e3af.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 93587, "title": "Lightbox - Cursor for Content Creation", "tagline": "From idea to brand, merch, or UGC — all in one AI-native flow.", "body": "[_Lightbox_](https://www.lightbox.sh/) is a new brand and product, previously known as [emojis.com](http://emojis.com).\n\nhttps://youtu.be/PC65mXUoXvM\n\nPipeline: https://www.lightbox.sh/pipeline/apJhpW4fBMa\n\n### Story\n\nLightbox came out of our own frustration of duct taping AI tools together. The GenAI space for image/video models is a complete s\\*\\*t show, always chaining together different models and jumping across tools.\n\nWe had had enough of it, so we went to the drawing board, and we asked ourselves one question: What would an AI native creative tool look like, if built from the ground up?\n\nToday, we’re launching our first experiment — Pipelines. All batteries included workflow builder for generative AI. The goal is _an **infinitely flexible tool for your creative process**_.\n\nIf you think that’s all we’re building…you would be wrong. We’re too naive to stop here. There are two more experiments cooking in order to complete our vision for the creative suite.\n\nFor the time being, here’s Pipelines in action:\n\n### Agentic and Conversational\n\nLightbox works just like Cursor, use chat to explain your changes and watch it go brrrr. Here’s an example of it generating testimonial videos about Salesforce.\n\n![](https://attic.sh/_static/yc/bf-lightbox-salesforce-testimonial.gif)\n\nPipeline: https://www.lightbox.sh/pipeline/cBb1SMxX1fv\n\n### Product Photo Shoots\n\nChoose a model, upload your merch (i.e., hoodie), and watch the pipeline generate a photoshoot for you.\n\n![](https://attic.sh/_static/yc/bf-lightbox-photoshoot.gif)\n\nPipeline: https://www.lightbox.sh/pipeline/EKbin5Y96TO\n\n### Youtube Face Reactions\n\nIn need of face reactions for YouTube thumbnails? There’s a Pipelines for that!\n\n![](https://attic.sh/_static/yc/bf-lightbox-youtube-face-reactions.gif)\n\nPipeline: https://www.lightbox.sh/pipeline/4nrRoxZifJ2\n\n### How can you help?\n\nIf any of the demos got your gears running, give Lightbox a try! You can use promo code YC10 for $10 worth of credits. Would love to hear your thoughts and see if we can help.\n\nWe’re also looking for businesses and creative agencies that want to automate design work. Anything from photo shoots, ads, UGC, and in between.\n\nYou can reach us at [founders@lightbox.sh](https://mailto:founders@lightbox.sh), or send us a message directly on [X/Twitter](https://x.com/pondorasti).", "url": "https://www.ycombinator.com/launches/OLT-lightbox-cursor-for-content-creation", "votes": 20, "created_at": "2025-09-04T19:23:28.403Z" }, { "id": 88060, "title": "emojis.com - AI Copilot for graphic design", "tagline": "We allow small businesses to easily create brand assets, like logos and icons, with AI", "body": "# \n\n### TL;DR\n\nOur mission is to give small businesses an AI Graphic Designer to help them create a brand and identity without having to pay 💰💰💰 of dollars hire someone.\n\n### Backstory\n\nBack in October, 2023, we’ve tweeted about a little side project for creating emojis with AI that went on to be called [**“_best app of 2023”_**](https://x.com/rauchg/status/1709318615911317621).\n\nOver the course of the following year, we’ve turned this idea into a full fledged consumer app:\n\n* launched [iOS](https://apps.apple.com/us/app/ai-emojis-keyboard/id6468916301) app and became the [**#1 app in Graphic and Design**](https://x.com/pondorasti/status/1855326867605340553)\n* deeply integrated with messaging platforms like iMessage and WhatsApp\n* and grew to 2.5M users that generated over 5M emojis\n\n![uploaded image](/media/?type=post&id=88060&key=user_uploads/688130/13e428c7-74f3-4ba8-8d9b-024c79aa381e)\n\n### Learnings / The Problem\n\nWhat we’ve learned from our consumer app is that majority of our power users are actually closer to business use cases:\n\n* **small businesses** and **indie hackers** using ai emojis for website icons\n* **influencers** and **creators** using ai emojis for social media posts and thumbnails\n* **teachers** and **students** using ai emojis for courses and assignments\n\n![uploaded image](/media/?type=post&id=88060&key=user_uploads/688130/3f699bb3-9d89-4774-b5fd-ed81d43570be)\n\n### What’s next? / The Solution\n\nWe’re doubling down on providing value for small businesses and expanding to a suite of models that can become your one stop shop for graphic design needs:\n\n* ai **illustrations** for websites and blogs\n* ai **stickers** for your business\n* consistent ai **characters** and **mascots** for your brand\n\nEvery company should be able to have their own “octocat” brand identity, and we’re making that a reality with AI.\n\n![demo](https://attic.sh/_static/yc/bf-v2-imagine-demo.gif)\n\n### Our Ask\n\nIf you (or anyone you know) are looking for an AI Copilot to help create brand assets like icons, illustrations, and stickers, we’d love to chat and see how we can help!\n\nYou can reach us at [founders@emojis.com](mailto:founders@emojis.com), or send us a message directly on [X/Twitter](https://x.com/pondorasti).\n\n### The Team\n\n**Dylan Player** - Co-Founder & CTO at [emojis.com](http://emojis.com). Former software engineer at Shopify, building new lending products and scaling to over $10B in lending volume.\n\n**Alexandru Turcanu** - Co-founder and CEO at [emojis.com](http://emojis.com). Previously, led posts initiative at Campsite (acq by Notion).\n\n![uploaded image](/media/?type=post&id=88060&key=user_uploads/688130/f3b1e7e1-40c5-4f13-b50f-fd3184e3f7ab)\n\n", "url": "https://www.ycombinator.com/launches/MuK-emojis-com-ai-copilot-for-graphic-design", "votes": 17, "created_at": "2025-02-26T18:07:26.392Z" } ] }, { "id": 30346, "name": "Mercura", "slug": "mercura", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/84ad3ef04aef30c103f98a1ef15865998e62738e.png", "website": "https://www.mercura.ai", "all_locations": "BY, Germany", "long_description": "Mercura automates quotes and orders for distributors & manufacturers in the construction supply chain. Our software lets sales teams process requests in minutes instead of days. By eliminating repetitive back-office tasks, we help sales reps focus on winning more deals and driving revenue.", "one_liner": "AI Quote and Order Automation for Distributors & Manufacturers", "team_size": 20, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1739583996, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Sales" ], "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/mercura", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/mercura.json", "year_founded": 2024, "city": null, "country": "DE", "linkedin_url": "https://www.linkedin.com/company/mercura-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/84ad3ef04aef30c103f98a1ef15865998e62738e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/3707229f97fc0dd70b6774fba34ce75f7d4d4fd8.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/d2cf6e3397740fa2aef156fd1b6240affb37cc10.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 2084930, "full_name": "Lukas Bock", "title": "Founder/CEO", "founder_bio": "CEO at Mercura. Previously, AI Engineer at Google X, implementing end to end ML pipelines impacting millions of users. Former Data Scientist at Allianz, driving AI integration across ~60 global entities. PhD dropout, University of Cambridge. Lifelong exposure to the construction industry, growing up in an HVAC and plumbing family and learning about the industry firsthand on job sites.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lukas-bock-7636a0131", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/368fa8235defdc69a420ecf32c3538e98fbd9aff.jpg" }, { "user_id": 555541, "full_name": "Stefan Zheng", "title": "Founder/CPO", "founder_bio": "CPO at Mercura. Former Bain consultant, improving operations efficiency across 15+ manufacturing plants. Product Manager at startups and early-stage investor at Cherry Ventures. Researcher at MIT, developing GPT solutions before everyone else did. Graduated within the top 2% from TU Munich and Harvard Business School. Mastered operations by working in his Chinese parent’s restaurant from age 10.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stefan-zheng/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/28061b2fd7cf4d1eff795cad3b6e7610254a252c.jpg" }, { "user_id": 4163420, "full_name": "Sean Sdahl", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sean-sdahl/", "x_url": "https://x.com/SeanSdahl", "avatar_thumb_url": "/avatars/thumb/missing.png" } ], "jobs": [ { "id": 100961, "title": "Customer Support Engineer", "url": "https://www.ycombinator.com/companies/mercura/jobs/lD58UIM-customer-support-engineer", "location": "Munich", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 100962, "title": "Solution Engineer", "url": "https://www.ycombinator.com/companies/mercura/jobs/aMwypsQ-solution-engineer", "location": "Munich", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 100963, "title": "(Senior) Fullstack Engineer", "url": "https://www.ycombinator.com/companies/mercura/jobs/YUuqw0G-senior-fullstack-engineer", "location": "Munich", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 100964, "title": "(Senior) AI/LLM Engineer", "url": "https://www.ycombinator.com/companies/mercura/jobs/PAXgqdt-senior-ai-llm-engineer", "location": "Munich", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 100965, "title": "Founding People & Talent Lead", "url": "https://www.ycombinator.com/companies/mercura/jobs/AczBM6G-founding-people-talent-lead", "location": "Munich", "type": "Full-time", "role": "Recruiting & HR", "role_type": "Recruiter", "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 100966, "title": "Founders Associate (Growth)", "url": "https://www.ycombinator.com/companies/mercura/jobs/YKqNVQW-founders-associate-growth", "location": "Munich", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 100967, "title": "Business Development Representative (BDR)", "url": "https://www.ycombinator.com/companies/mercura/jobs/NZKIfDF-business-development-representative-bdr", "location": "Munich", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 100968, "title": "Account Executive", "url": "https://www.ycombinator.com/companies/mercura/jobs/NY7VkuG-account-executive", "location": "Munich", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 100969, "title": "(Senior) Customer Success Manager", "url": "https://www.ycombinator.com/companies/mercura/jobs/ECgsvel-senior-customer-success-manager", "location": "Munich", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 100970, "title": "Forward Deployed Engineer (FDE)", "url": "https://www.ycombinator.com/companies/mercura/jobs/Fpr452F-forward-deployed-engineer-fde", "location": "Munich", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 100971, "title": "Staff Engineer", "url": "https://www.ycombinator.com/companies/mercura/jobs/m2Nvk7t-staff-engineer", "location": "Munich", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "8+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 88089, "title": "Mercura: Quotes in minutes, not days", "tagline": "Mercura automates sales quotations for HVAC, electrical and plumbing distributors & manufacturers.", "body": "# **📜 Background:**\n\nCo-founder Lukas Bock grew up in a family business with over 100 years in plumbing and electrical trades. He’s seen first-hand how manual quoting in the construction industry is.\n\nInspired by this legacy, Mercura is now using AI to transform how millions of sales reps at distributors & manufacturers work.\n\n# **❌ Problem:**\n\nWhen contractors bid on construction projects, they request quotes from distributors and manufacturers, often in unstructured formats like emails, Excel files, and PDFs. These requests contain functional product requirements but frequently lack details.\n\nDistributors and manufacturers employ massive inside sales teams that manually interpret these requests, compare specifications with their product catalog, and select suitable products.\n\nThis slow, manual, and error-prone process holds off inside sales teams from their core task—selling—while delaying responses to customers and increasing the risk of lost revenue.\n\n\n\n# **🪄 Solution:**\n\nMercura automates sales quotations for HVAC, electrical and plumbing distributors & manufacturers.\n\nBy eliminating repetitive back-office tasks with AI, our software enables sales teams to process RFQs in minutes instead of days. This lets them focus on winning more deals and driving revenue.\n\nOur customers use Mercura to quote significantly more requests automatically, which allows them to maximize their sales potential and win more customers.\n\nThis is how it works:\n\n1. **Customer request intake** – Requests arrive in various formats (PDFs, Excel, emails, etc.) and must be processed into the ERP.\n2. **Data extraction** – Our AI extracts relevant product information, such as product descriptions, types, manufacturers, part numbers, and quantities, and structures it correctly.\n3. **Validation & matching** – Our AI matches line items with the distributor’s product catalog, and suggests the best matches based on the customer’s sales history.\n4. **ERP entry** – The quote is automatically entered into the ERP.\n\n# **🌟 About us:**\n\n**Lukas Bock** grew up in a family business with over 100 years in construction. After working as an AI engineer at Google X and Data Scientist at Allianz, he’s now back in the industry to transform how sales reps work.\n\n**Hai Dang** is an AI researcher with experience at Meta and Autodesk, holding patents and over ten first-authored papers at top-tier conferences. He’s an expert in human-AI collaboration and now applying his research to this domain.\n\n**Stefan Zheng** improved operations efficiency across 15+ manufacturing plants as a consultant at Bain. He’s excited to drive sales efficiency in wholesale distribution at scale.\n\n# **🙏 Our Ask:**\n\n1. Intro us to HVAC, electrical and plumbing distributors & manufacturers - we give you 20% of the first monthly fee if we close a deal!\n2. We’d love to hear your thoughts and feedback at [founders@mercura.ai](mailto:founders@mercura.ai)\n\nYour help can make a huge difference. **Thank you!**\n\n\\- Lukas, Stefan & Hai\n\n![uploaded image](/media/?type=post&id=88089&key=user_uploads/555541/c0da4321-ccfa-4a0d-8235-868afb347324)\n\n", "url": "https://www.ycombinator.com/launches/Mun-mercura-quotes-in-minutes-not-days", "votes": 18, "created_at": "2025-02-27T00:17:16.782Z" } ] }, { "id": 30347, "name": "Instinct Space", "slug": "instinct-space", "former_names": [ "Instinct" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4bb840258f778d8499065a3377b1461a88ad66ed.png", "website": "https://www.instinct-space.com/", "all_locations": "London, England, United Kingdom", "long_description": "Instinct is making the Moon the new LEO. Our small lunar lander is designed to be launched as a regular LEO rideshare, enabling higher mission cadence at a lower cost.", "one_liner": "Building lunar landers", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1739754908, "tags": [ "Hard Tech", "Space Exploration" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "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/instinct-space", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/instinct-space.json", "year_founded": 2024, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/instinct-space/", "x_url": "https://x.com/Instinct__Space", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4bb840258f778d8499065a3377b1461a88ad66ed.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/0bff9b3783db2f83e829a5295839eca0aab1f311.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1741395, "full_name": "Alex Pinel Neparidze", "title": "Founder", "founder_bio": "Building lunar landers. Co-CEO of Instinct.\n\nGraduate in Space Engineering at UCL and Aerospace engineering at QMUL. At Open Cosmos, he worked in project management on the PHISAT-2 and HAMMER Earth observation satellites, both launched in 2024 and now in orbit. Published research on the usage of machine learning for detecting Coronal Mass Ejections (CMEs) at the Mullard Space Science Laboratory. \n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alex-pinel/", "x_url": "https://x.com/Alex__Pinel", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2686a16bde1511b7fc8f5979a461225a3ce9bc36.jpg" }, { "user_id": 2390225, "full_name": "Joaquim Dickson", "title": "Founder/CTO", "founder_bio": "Building lunar landers. CTO at Instinct.\n\nStudied Physics at Imperial College London and Space Technology at UCL. Worked on the magnetometer (MAG) for NASA's IMAP spacecraft with Imperial's Fluxgate Magnetometer Laboratory. Also worked on the Solar Wind Analyser (SWA) instrument suite aboard ESA's Solar Orbiter spacecraft with UCL's Mullard Space Science Laboratory.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joaquim-ropd/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b6505e0e0f06bad77f9a710345a84337c3daffe1.jpg" }, { "user_id": 1830493, "full_name": "Ashwin Iyer", "title": "Founder", "founder_bio": "Building rideshare compatible lunar landers. Ashwin is the co-founder and co-CEO of Instinct.\n\nHe studied mechanical engineering at QMUL in London and holds a Master in Industrial Systems, Manufacturing and Management from the University of Cambridge. Ashwin has also worked at Imperial College London, researching Rolls Royce jet engines as well as undertaken consulting projects as part of a team at Cambridge across a variety of industries including Venture capital, Metalworking and Electronics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ashwin-iyer-626263245/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eb93731bd9cfc0a59ed3ff2d5a210efdf7a84bcf.jpg" } ], "jobs": [], "news": [ { "title": "Instinct Space Unveils Plans for Low-Cost Lunar Landers", "url": "https://payloadspace.com/instinct-space-unveils-plans-for-low-cost-lunar-landers/", "date": "Jun 17, 2026" } ], "launches": [ { "id": 103381, "title": "Instinct - Lunar Landers as a Service", "tagline": "lunar landers designed to launch as a regular LEO rideshares", "body": "We are going to the Moon, without spending billions. Launching more often and from any rocket.\n\n### **TL;DR:**\n\nModern lunar landers are not designed for the realities of today's launch market, leading to infrequent and expensive flights. Instinct is building a lunar lander that can launch from anywhere, increasing flight cadence and decreasing cost.\n\n\n\n### **The Problem:**\n\nDemand for the Moon is increasing, and modern landers rely on dedicated launches to the Moon that cost upwards of $100M and only fly once or twice a year. This means payload costs of $1.2M/kg and very limited availability of payload slots. Most potential lunar payloads are either stuck on Earth or never leave the concept stage.\n\n### **Our Solution:**\n\nInstinct's lunar lander is small enough to launch as a rideshare to Low Earth Orbit, enabling low-cost, high-cadence missions. From LEO, our lander makes its way to the Moon without the need for refueling or multiple stages, delivering 20kg of payload to the Moon at a cost per kg of less than half that of current providers.\n\n![uploaded image](/media/?type=post&id=103381&key=user_uploads/1741395/a31b9757-ea96-4f67-8e24-a31ef7bf474b)\n\n\nAt its core, our lunar lander relies on custom propulsion and visual navigation systems, which enable our unique architecture and most importantly are designed to keep vehicle mass as low as possible. This reduces launch cost and maximizes performance.\n\n![uploaded image](/media/?type=post&id=103381&key=user_uploads/1741395/6887996a-f7fc-4d07-a5ae-68e548ba6acf)\n\n### **Who We Are:**\n\nOur team brings years of experience working on space missions including NASA's IMAP, ESA's Solar Orbiter, and PhiSat-2.\n\nWe are super passionate about space exploration, and have also experienced firsthand the pains involved in developing lunar missions nowadays. We think getting to the Moon should be routine.\n\n### **What's Next:**\n\n* Integrated tests of our reaction control thrusters\n* Flight of our hopper test vehicle\n* A lot of testing\n* First lunar mission in Q4 2028\n\n### **Asks:**\n\n* Fly a payload to the Moon\\![ https://www.instinct-space.com/fly-with-us](https://www.instinct-space.com/fly-with-us)\n* Commercial/Government Intros\n* Join the team[ https://www.instinct-space.com/careers](https://www.instinct-space.com/careers)", "url": "https://www.ycombinator.com/launches/QtR-instinct-lunar-landers-as-a-service", "votes": 7, "created_at": "2026-06-17T14:05:35.501Z" } ] }, { "id": 30348, "name": "SAMMY Labs", "slug": "sammy-labs", "former_names": [ "SAMMY" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9bdb570c43e3c58161a904790b035ac6647153c9.png", "website": "https://www.sammylabs.com", "all_locations": "London, England, United Kingdom", "long_description": "Computational Law", "one_liner": "Computational Law", "team_size": 10, "industry": "B2B", "subindustry": "B2B", "launched_at": 1739574667, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B" ], "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/sammy-labs", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/sammy-labs.json", "year_founded": 2024, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/sammylabs", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9bdb570c43e3c58161a904790b035ac6647153c9.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f5d9a35fec03115e4287da71e9730205c788bace.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/3bc51558ef7f4682f6535e1df475464005a2f26f.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 2145857, "full_name": "Joe Savidge", "title": "Founder/CEO", "founder_bio": "Ex-Palantir pod lead , previous founder and IBanker (for my sins)\n\nNow working on augmenting everything post-sales with screen based agents ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/josephsavidge", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0a0a8e4119ec002baded9c0cd6c8318b511cfcba.jpg" }, { "user_id": 2420295, "full_name": "Shav Vimalendiran", "title": "Founder/CTO", "founder_bio": "ex-Quant Dev @ Algorithmic Hedge Fund, Founding Engineer @ Fintech. Now building SAMMY, computational law for AI agents, so legal questions get deterministic answers with a full audit trail instead of an LLM's best guess.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shavvimalendiran/", "x_url": "https://x.com/Shavtge", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0742a8aa539e4ca9004a8f728e3ffb0dcc3410b9.jpg" } ], "jobs": [ { "id": 75908, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/sammy-labs/jobs/gUpSF5h-founding-engineer", "location": "England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£50K - £250K GBP", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 87852, "title": "SAMMY Labs, the knowledge layer.", "tagline": "SAMMY Labs, the knowledge layer. Without knowledge, your AI is just a bull**** exacerbator.", "body": "**At SAMMY, we do knowledge.** Not “find me every time _\\[thing\\]_ was mentioned,” but real knowledge.\n\nA compliance or legal update comes in — where does it apply, how does it affect our processes, and what should we do next?\n\nA process changes — which related processes need updating? Update them for me.\n\nWe’re trusted by some of the largest companies in the world to power their knowledge, because without knowledge, AI is just a bullshit exacerbator.\n\n### How we got here\n\nIn his time leading teams at Palantir, our CEO, Joe, saw how painful it was for his customers to adapt to a process change. It wasn’t that the change itself was difficult, it was the cascading effects - 10s, sometimes 100s, of other processes also needed updating; people weren’t informed; automations couldn’t handle it. AI only makes the problem worse, without a source of truth AI is just a parrot of misinformation. This is particularly apparent when compliance changes come into effect where the cost is, well, costly. \\\n\\\nShav, our CTO, was building real-time AI & data-streaming stacks in the fintech space. He saw first-hand how critical it is to give users relevant, up-to-date information. These insights, alongside his modelling expertise, shaped SAMMY’s AI architecture to continuously map and update all knowledge across an org in realtime.\\\n\\\n**Running across 5+ verticals with companies from seed stage to $10bn+ valuation**\n\n[www.sammylabs.com](http://www.sammylabs.com)\n\n### Reach out at:\n\n[founders@sammylabs.com](mailto:founders@sammylabs.com)\n\n![uploaded image](/media/?type=post&id=87852&key=user_uploads/2145857/b6fd92b9-62c0-4924-bf05-14bfc3da6e32)\n\n[Joe](https://www.linkedin.com/in/josephsavidge/) (CEO) - ex-Palantir, 2x startup first product hire, previous founder, previous iBanker\\\n\\\n[Shav](https://www.linkedin.com/in/shavvimalendiran/) (CTO) - ex-Quant Dev @ Algorithmic Hedge Fund, Founding Engineer @ Fintech\\\n\\\n[Josh](https://www.linkedin.com/in/joshua-carey-5156a51aa/) (Founding Engineer) - Team GB kite surfing, previous founder, all-round brilliant engineer", "url": "https://www.ycombinator.com/launches/Mqy-sammy-labs-the-knowledge-layer", "votes": 343, "created_at": "2025-02-21T04:09:32.952Z" } ] }, { "id": 30350, "name": "TrainLoop", "slug": "trainloop", "former_names": [ "Phoenix" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4fad47355d59021d6d855bc4b2dc95cbc0ef2f1a.png", "website": "http://trainloop.ai", "all_locations": "San Francisco, CA, USA", "long_description": "TrainLoop makes it effortless for developers to supercharge LLM performance through reinforcement learning.", "one_liner": "Reasoning Fine-Tuning", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1738700190, "tags": [ "Developer Tools", "Generative AI", "Reinforcement Learning" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/trainloop", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/trainloop.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/trainloopai/", "x_url": "https://x.com/TrainLoop_ai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/TrainLoop", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4fad47355d59021d6d855bc4b2dc95cbc0ef2f1a.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": 1997228, "full_name": "Jackson Stokes", "title": "Founder/CEO", "founder_bio": "Cofounder at TrainLoop, previously Google Gemini & AlphaFold performance ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jacksonstokes/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6830e129e7460fce6375e8137b2a667fbe01fa75.jpg" }, { "user_id": 681927, "full_name": "Mason Pierce", "title": "Founder/CTO", "founder_bio": "My background is in applying AI models to business use-cases and have always found fine-tuning to be way harder than it should be - My mission is to unlock fine-tuning for all builders :)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/malapier", "x_url": "https://x.com/mlpierce22", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e0708b326a808512f74417ba49da6268c9d5777f.jpg" } ], "jobs": [ { "id": 116537, "title": "Head of Enterprise", "url": "https://www.ycombinator.com/companies/trainloop/jobs/elVnWkD-head-of-enterprise", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$150K - $250K", "equity_range": "0.50% - 1.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 116538, "title": "Research Engineer", "url": "https://www.ycombinator.com/companies/trainloop/jobs/WABE7WW-research-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $250K", "equity_range": "0.50% - 1.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 116539, "title": "Research Scientist", "url": "https://www.ycombinator.com/companies/trainloop/jobs/1ni2P0Y-research-scientist", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Science", "role_type": "Research", "salary_range": "$150K - $250K", "equity_range": "0.50% - 1.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 116540, "title": "UX / Product Designer", "url": "https://www.ycombinator.com/companies/trainloop/jobs/OtdpMKl-ux-product-designer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Design", "role_type": "Product design", "salary_range": "$150K - $250K", "equity_range": "0.50% - 1.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 87957, "title": "TrainLoop: Unlock Next-Level Reasoning through Fine-Tuning", "tagline": "Eliminate unwanted responses and match ideal outputs for your product. ", "body": "# Unreliable RAG or code generation? We can help.\n\nReasoning models have been all the rage lately because they beat generic benchmarks. The problem is that your business isn’t a generic benchmark - it’s a set of specific vertical tasks like codegen, compliance, legal or healthcare. Massive companies like Google and OpenAI have internal tools to train their models, but those aren’t available to the people that need it: the developers deploying these models into production.\n\nWe’ve personally been involved on both sides: Jackson optimized the Gemini models at Google and Mason hit the limits of off shelf models while leading engineering at Second (YC W23).\n\nSo we created **TrainLoop**, packaging the same RL techniques big AI labs use into an accessible platform. Our process is three simple steps:\n\n1. **Data Curation:** Our lightweight SDK (just three lines of code) gathers training signals from actual usage.\n2. **Training:** We build a reward model that teaches your LLM what output you prefer.\n3. **Inference:** Deploy automatically and call your model via standard APIs.\n\n\n\n# Ready to Level Up Your Model?\n\nIt’s time to move past “prompt-hell” and unreliable outputs. [**Join our alpha**](https://app.trainloop.ai/waitlist) to make your language model an expert in your business and unlock production-ready performance.", "url": "https://www.ycombinator.com/launches/Msf-trainloop-unlock-next-level-reasoning-through-fine-tuning", "votes": 32, "created_at": "2025-02-24T16:02:19.658Z" } ] }, { "id": 30351, "name": "Thirdlayer", "slug": "thirdlayer", "former_names": [ "Dexterity", "Dex", "Dexterity AI", "Dexterity", "Dex", "ThirdLayer", "Dex" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e0d87f32109c76adfd7d671c77380aed15d429e2.png", "website": "https://thirdlayer.inc", "all_locations": "San Francisco, CA, USA", "long_description": "ThirdLayer is the learning and alignment layer for enterprise AI. We continuously ingest and structure messy organizational context, complex operational processes, and siloed, permission-sensitive data, then grade agents against the outcomes each company cares about. Every interaction becomes feedback that helps agents improve over time.\r\n\r\nCompanies use ThirdLayer to power their internal agents or embed it into the AI products they’re building. We give agents the context, evaluations, and learning loops they need to stay aligned with each organization and deliver better outcomes with every run.", "one_liner": "Continual learning for enterprise AI", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1737217789, "tags": [ "Productivity", "Consumer Products", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 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/thirdlayer", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/thirdlayer.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/thirdlayerinc/", "x_url": "https://x.com/dexbythirdlayer", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e0d87f32109c76adfd7d671c77380aed15d429e2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1003357, "full_name": "Regina Lin", "title": "Founder/CEO", "founder_bio": "Regina is the co-founder & CEO of Dex. She studied Mathematics with a concurrent master's in Computational Science at Harvard (dropped out). She previously co-founded Contour AI, a devOps tool for LLM evaluation, helped build the MVP an ecommerce marketplace with 40K+ customers and worked in various tech investment roles.", "is_active": true, "linkedin_url": "https://linkedin.com/in/reginaclin", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f1649147745eef3d962393e89474eb2bf7674f49.jpg" }, { "user_id": 1733297, "full_name": "Kevin Gu", "title": "Founder", "founder_bio": "Co-founder of Dex. Prev Math & Stat at Harvard, quant/ML researcher at Jump Trading, IBM Research, QuantCo, Meta.", "is_active": true, "linkedin_url": "https://linkedin.com/in/kevinrgu", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6d133d7e84172b6d4f5f29ea2ad4e7f6663374e4.jpg" } ], "jobs": [ { "id": 76656, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/thirdlayer/jobs/qYNyl01-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $250K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Python", "React", "TypeScript", "Natural Language Processing" ] }, { "id": 76658, "title": "AI Engineer Intern", "url": "https://www.ycombinator.com/companies/thirdlayer/jobs/fysveVu-ai-engineer-intern", "location": "San Francisco, CA, US", "type": "Contract", "role": "Engineering", "role_type": "Full stack", "salary_range": "$30 - $60", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Python", "TypeScript" ] }, { "id": 76659, "title": "Full-Stack Engineer Intern", "url": "https://www.ycombinator.com/companies/thirdlayer/jobs/1ZzDdz8-full-stack-engineer-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$5.2K - $10.4K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [ "Python", "React", "TypeScript", "Tailwind" ] }, { "id": 80750, "title": "2026 Summer AI/ML Engineer Intern", "url": "https://www.ycombinator.com/companies/thirdlayer/jobs/jgOpS9K-2026-summer-ai-ml-engineer-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$6K - $10K / monthly", "equity_range": "", "experience": null, "visa": "Will sponsor", "skills": [] }, { "id": 80751, "title": "Summer 2026 Full-Stack Engineer Intern", "url": "https://www.ycombinator.com/companies/thirdlayer/jobs/xgLbSux-summer-2026-full-stack-engineer-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$6K - $10K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 87902, "title": "Dex – Your AI Coworker for the Browser", "tagline": "Turn your browser into a smart interface that works alongside you.", "body": "Hey! We’re Kevin and Regina from [Dexterity](https://getdexterity.com/). Today, we’re launching Dex—the fastest interface for co-working with AI, right inside your browser.\n\n**TLDR:** **AI that works _with you,_ not just for you**. 10x your workflows without breaking your flow. Try [**Dex**](https://youtu.be/H6hMAVkGp8M) (Beta) → [**getdexterity.com**](http://getdexterity.com)\n\n### **Why We’re Building This**\n\n**Four weeks before Demo Day, we pivoted to build for ourselves.**\n\nMost AI web agents today are “set-and-forget” chats—you hand them off and check back later. But what about workflows you actually _want_ to drive? Navigating platforms, moving data, making quick decisions—these moments demand instant, context-aware models that work with you, not just for you.\n\nImagine using Operator to order DoorDash—a frustratingly back-and-forth relay with no real-time visibility. That same friction exists for work tools like Jira, GSuite, and GitHub, where users need instant feedback and responsive action, not slow AI handoffs.\n\n**That’s why we’re taking a Cursor (vs. Devin) approach—for the browser.**\n\n### **The Problem**\n\nModern work is a juggling act of 15+ tabs, software bloat, and constant UI friction, just to complete a single task.\n\nThe real bottleneck isn’t just automation—it’s context switching. Traditional solutions force users to memorize shortcuts (appeals to devs, but leaves everyone else behind), while AI tools make you adapt to them instead of living right where you work.\n\n**Why not turn your browser itself into an intelligent personal workspace?**\n\n### **How It Works**\n\nWith simple voice and text, Dex enhances familiar interfaces, automates mundane actions, and understands your intent.\n\n* **Smart Navigation**🔸Find, execute, and move between apps.\n* **Suggest Context**🔸Cut down tab-switching and manual searching.\n* **Cross-App Automation**🔸Shortcut multi-step workflows, zero setup.\n* **Adaptive UI/UX**🔸Reshape, replicate, and browse by your rules.\n\nThink of it like Spotlight Search meets AI automation + personal expert for everyday apps.\n\n![uploaded image](/media/?type=post&id=87902&key=user_uploads/1003357/5841f4c8-281d-4bdd-a4b0-053d44c7b41d)\n\n### **Use Cases**\n\n* **GSuite** – Write emails, find docs, and move data anywhere.\n* **GitHub** – Search repos, manage issues, and navigate faster.\n* **Omni AI** – Talk to and reference live tabs or integrated apps.\n\n### **Coming Soon…**\n\n* **Meetings** 📅 → Create and join calendar and Zoom events instantly\n* **Sales** 💼 → Automate clicks across LinkedIn, Sheets, and Apollo.io\n* **Snippets** ✂️ → Dex captures notes, links, and frequent snippets\n* **Food** 🍔 → Speak to browse options and order DoorDash\n\n### **Our Ask**\n\nWe’re building Dex for power users, founders, students, and curious explorers—because that’s who we are.\n\n[**Join our waitlist**](https://getdexterity.com/) → **Get notified when Dex goes live on the Chrome store**.\\\n[**Follow us on Twitter**](https://x.com/dexterity_ai) → Stay updated on latest features.\\\n[**Discord**](https://x.com/dexterity_ai) → Get to know us more personally + brainstorm cool ideas.\n\nDrop dream features to [regina@getdexterity.com](mailto:regina@getdexterity.com) and let us know what you think!", "url": "https://www.ycombinator.com/launches/Mrm-dex-your-ai-coworker-for-the-browser", "votes": 42, "created_at": "2025-02-21T18:26:04.905Z" } ] }, { "id": 30353, "name": "Axal", "slug": "axal", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/82e9354c307a1bd5e3bca2ede62b3b0bdfbdba15.png", "website": "https://www.axal.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Axal is a quick-turn PCB assembly shop in San Francisco. Samai and Nand build every board themselves, and both are IPC certified. For quantities under 10, we assemble boards in under 48 hours. Order online in 2 minutes at axal.ai.\r\n\r\nSend us your board files and we handle the parts, bare boards, assembly, inspection, and delivery. ", "one_liner": "We assemble PCBs in under 48 hours for quantities under 10", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1736891737, "tags": [ "Hardware", "Robotics", "Manufacturing", "Electronics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "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/axal", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/axal.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/axalai/?viewAsMember=true", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/82e9354c307a1bd5e3bca2ede62b3b0bdfbdba15.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": 1097575, "full_name": "Samai Patel", "title": "Founder", "founder_bio": "I like making electronics. Made projects being used by Lockheed Martin and Amazon Kuiper. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/samaipatel", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e5a05bba8f4675bd20d06a33f7fa30448bfcc345.jpg" }, { "user_id": 570999, "full_name": "Nand Vinchhi", "title": "Founder", "founder_bio": "Co-founder and CTO of Axal - https://axal.ai", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nandvinchhi", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e03b530f45ad3e0b17ec21eb09353b338338a5de.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 108343, "title": "Axal: Designing and Getting PCB's in China is Dead", "tagline": "We help companies design and assemble their board in days", "body": "We are launching Axal, a services company that designs, assembles, and tests custom PCBs for hardware startups in days. American manufacturing is back. 🇺🇸\n\nAxal enables hardware teams to get custom PCBs designed and built in the U.S. without needing electrical engineers on staff.\n\nWe’ve helped teams go from no PCB design to a working board delivered in as little as two weeks.\n\nIt’s ridiculous that American hardware startups have to go overseas just to get a PCB designed and built affordably. Together, we can change that and build more hardware in America.", "url": "https://www.ycombinator.com/launches/SBT-axal-designing-and-getting-pcb-s-in-china-is-dead", "votes": 2, "created_at": "2026-07-30T06:10:46.886Z" }, { "id": 91586, "title": "Axal: Legacy Code, Understood in Hours. Seriously.", "tagline": "We help startups who want to integrate their tech into enterprise legacy systems by expediting the process of discovery + rewrite by months.", "body": "Hi, we’re Samai and Nand — Co-Founders of Axal 👋\n\nIf you're selling to a sticky product to enterprises, you've probably run into this:\n\n“We’d love to use your product, but our stack is too old...”\n\nThat’s where we come in.\n\nAxal reverse engineers legacy codebases (Java, C#) to generate **functional requirements and user stories in hours** — essentially helping your clients expedite the discovery process of their modernization. A beta version of our tool then figures out what needs to be rewritten and makes an outline for your team so you can easily rewrite their code and integrate your product. \n\nMongoDB already does this to land enterprise deals — they rewrite the client’s legacy system _just enough_ to make it so they can integrate their product and switch up the DB. Then they are sticky forever.\n\nGet setup in less than 1 hour guaranteed. \n\nAxal Demo - Creating Functional Requirement Document and User story of 30k line Java codebase \n\nhttps://www.youtube.com/watch?v=yXWTFxfw2vE\n\nWe make that process instant and repeatable so if you have a sticky product you can integrate with enterprise codebases easily.\n\n**Why it matters to you (YC founder):**\n\nYou’re not just selling software. You’re selling _change_.\n\nIf legacy tech is blocking your deal, let us unblock it — so you can close faster and look like a hero.\n\nTo get started, email me - [samai@joinaxal.com](mailto:samai@joinaxal.com)\n\nJoin the waitlist rewrite tool: ", "url": "https://www.ycombinator.com/launches/NpC-axal-legacy-code-understood-in-hours-seriously", "votes": 9, "created_at": "2025-06-24T14:50:34.452Z" }, { "id": 86865, "title": "Axal - Automate identifying and fixing architectural tech debt", "tagline": "Break down monoliths, identify tech debt, and fix it with AI at scale!", "body": "Hey everyone, I’m Nand - Founder at Axal👋\\\n\\\nWe built a tool that uses deterministic methods to **automate the hardest parts of application modernization**— identifying architectural bottlenecks and prioritizing those issues based on business value. Once the issues are broken down by Axal, AI can autonomously collaborate with your team to resolve them.\n\n# **The Problem**\n\nEveryone knows that software teams cut corners in development over time, resulting in accumulation of debt tech overtime that slows them down and raises costs. Until now, to address this problem there needed to be long modernization efforts, where stakeholders spent months finding possible solutions to the problem, if you could even find and train the team members needed to do the work. \n\n# **Our Solution: One platform for Application Modernization**\n\nAxal uses deterministic methods to provide teams with clear observability into architectural technical debt.\n\n![uploaded image](/media/?type=post&id=86865&key=user_uploads/570999/5453ac1a-0928-4ba2-91f1-665ad2c142fd)\n\nWe show tech debt scores tailored to your goals. For example, if maintainability is your focus, we display the maintainability index, aligning business impact with priorities to guide effective action.\n\nTechnical teams can leverage our graphs to gain clear insights into class-level and domain-level codebase relationships.\n\n![uploaded image](/media/?type=post&id=86865&key=user_uploads/570999/ceaeb77c-b33c-4ef2-8540-3e5fc5f564d2)\n\nArchitectural issues - domain exclusivity, circular dependencies, dead code, etc. - are automatically detected based on the goals that an organization makes, and engineers can work with Axal to assign their priority.\n\n![uploaded image](/media/?type=post&id=86865&key=user_uploads/570999/f63d172c-c479-4a22-92b6-ab40ffdd2ef7)\n\nOnce prioritized, **Axal leverages AI to autonomously address issues**, while ensuring none of the existing code breaks.\n\n![uploaded image](/media/?type=post&id=86865&key=user_uploads/570999/01d79606-ac19-4fd4-a503-aff34a23a9c8)\n\n**Demo Video** (\\* excludes technical debt scores and AI code fix demonstration)\n\n\n\n# **Our Ask**\n\nPlease reach out:\n\n\\- If you want to see your team's architectural technical debt \n\n\\- If you have a Java, C#, or Go monolithic application you want to modernize, contact us (min. 100k lines of code)\n\nPlease let us know if you have any previous connections to large to medium-sized companies undergoing application modernization\n\nLearn more at [axal.ai](http://axal.ai)", "url": "https://www.ycombinator.com/launches/Mb3-axal-automate-identifying-and-fixing-architectural-tech-debt", "votes": 117, "created_at": "2025-01-15T17:17:50.625Z" } ] }, { "id": 30354, "name": "Artifact", "slug": "artifact-2", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/764b72bcc2fa5b82a346ca5ceda62d50887b6537.png", "website": "https://www.artifact.engineer/", "all_locations": "Los Angeles, CA, USA", "long_description": "Artifact is a collaborative IDE for hardware engineers - accelerating every step in the engineering lifecycle:\r\n\r\nDesign → Procurement → Manufacturing → Integration → Test → Sustainment\r\n\r\nWe've raised $3.5M to build an integrated, verifiable AI copilot with an intuitive UI that reflects how hardware actually gets built. Every artifact is auto-generated and traceable to a single-source of truth.\r\n\r\nWe believe hardware engineering should be rigorous, deliberate, and system-aware. We work directly with customers solving the world's hardest technical problems to modernize how complex hardware is engineered.\r\n\r\nIf you're interested, send your resume & contact info to: careers@artifact.engineer", "one_liner": "An Collaborative, AI-native IDE for Hardware Engineers", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1738654022, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/artifact-2", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/artifact-2.json", "year_founded": 2025, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/artifact-engineer", "x_url": "https://x.com/ArtifactEngr", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/764b72bcc2fa5b82a346ca5ceda62d50887b6537.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": 2436016, "full_name": "Antony Samuel", "title": "Founder/CEO", "founder_bio": "Antony Samuel is an electrical engineer with eight years of experience developing avionics and software for complex aerospace systems. Most recently, he was the Avionics Lead at Hermeus, where he built the team and infrastructure behind the avionics for the world’s fastest aircraft (Mach 5). Now, as co-founder of Artifact, Antony is building next-generation design tools to accelerate hardware engineering, with a focus on avionics and electrical system design.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/antony-samuel/", "x_url": "https://x.com/antonysam2000", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a94ef0fb68d56bd838a8becb954c4760c922a280.jpg" }, { "user_id": 1860411, "full_name": "Corbin Klett", "title": "Founder/CTO", "founder_bio": "Corbin Klett is an aerospace engineering PhD from Georgia Tech, where he applied cutting-edge control theory research to robotic systems. After spending a couple of years in industry working on design and embedded software for a high-speed aircraft prototype, he cofounded Artifact. The team’s current focus is on building software tools that accelerate hardware engineering workflows, specifically in the area of electrical and avionics systems design.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/corbinklett", "x_url": "https://x.com/corbinklett", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/409ed304f7c22d1b067cec22e86506d5771024a3.jpg" } ], "jobs": [ { "id": 76153, "title": "Forward-Deployed Software Engineer", "url": "https://www.ycombinator.com/companies/artifact-2/jobs/8j2BXI0-forward-deployed-software-engineer", "location": "Los Angeles, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $170K", "equity_range": "0.30% - 1.20%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Python", "React", "TypeScript" ] }, { "id": 76154, "title": "Senior Software Engineer", "url": "https://www.ycombinator.com/companies/artifact-2/jobs/ws0535a-senior-software-engineer", "location": "Los Angeles, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $170K", "equity_range": "0.30% - 1.20%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Python", "React", "TypeScript" ] }, { "id": 76155, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/artifact-2/jobs/7189rpl-software-engineer", "location": "Los Angeles, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$95K - $140K", "equity_range": "0.10% - 0.70%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Python", "React", "TypeScript" ] }, { "id": 106307, "title": "Electrical Systems Engineer", "url": "https://www.ycombinator.com/companies/artifact-2/jobs/NPEYlLP-electrical-systems-engineer", "location": "Los Angeles, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$120K - $180K", "equity_range": "0.30% - 1.20%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106308, "title": "Avionics Engineer", "url": "https://www.ycombinator.com/companies/artifact-2/jobs/2FKYUO3-avionics-engineer", "location": "Los Angeles, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$95K - $180K", "equity_range": "0.30% - 1.20%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Artifact Raises $3.5M to Modernize Electrical System Design", "url": "https://www.artifact.engineer/news/fundraise-announcement", "date": "Aug 08, 2025" } ], "launches": [ { "id": 87430, "title": "Artifact - A modern workspace for electrical design", "tagline": "We're building CAD software for electrical system design", "body": "We’re Antony and Corbin - cofounders of [Artifact](https://www.artifact.engineer/)!\n\nIn our past life, we built custom Mach 5 jet engines together - with the electrical designs living on iPhone pictures of whiteboards. We’re here to _finally_ bring electrical design tools to the modern age\n\n**The ask:** if you’re a hardware engineer building complex electrical systems, email us at [antony@artifact.engineer](mailto:antony@artifact.engineer) or [schedule a demo](https://calendly.com/antony-artifact/20min)!\n\n\n\n# **THE PROBLEM:**\n\n**Electrical system design tools have lagged behind modern-day needs:** \n\n1. Manually reading datasheets takes too long and is error-prone\n2. Visio, [draw.io](http://draw.io), or Excel don’t have built-in electrical capability\n3. Linking low and high-fidelity designs is manual and error-prone\n4. Manufacturing drawings are manually drawn and fall out of sync\n\n# **THE SOLUTION:**\n\n**We’re building a single-source-of-truth electrical tool with AI hooks:**\n\n1. Use our AI datasheet parser to generate pinouts\n2. Embed electrical capabilities (e.g. parts libraries & design checks)\n3. Link Low-fidelity block diagrams and high-fidelity details\n4. Autogenerate manufacturing drawings from system definition\n\n![Datasheet Parser - GIF](https://www.tella.tv/api/stories/cm6pp3qgg000f0albb2wggcvs/thumb.gif?version=2025-02-03T23:51:06.063Z&resolution=1280x720&inpoint=0)\n\n![Add a PCB - GIF](https://www.tella.tv/api/stories/cm6ppk7ol00050aju8juk1tia/thumb.gif?version=2025-02-03T23:55:08.369Z&resolution=1280x720&inpoint=0)\n\n# **OUR TEAM:**\n\n**We built jet engines together - now we’re building tools we wish we had**\n\n![No alt text provided for this image](https://media.licdn.com/dms/image/v2/D4E22AQHTwK48z-Lt3w/feedshare-shrink_2048_1536/B4EZSHiAHvGYAs-/0/1737440631222?e=1741824000&v=beta&t=bRT80ya2jyp2sNJ7FWgvyVNTFeYXI-ZojpxzyEkOOCw)\n\n[Antony Samuel (CEO)](https://www.linkedin.com/in/antony-samuel/) is an electrical engineer who has spent eight years developing avionics and software for complex aerospace systems. Most recently, he was the Avionics Lead at Hermeus, where he built the team and infrastructure behind the avionics for the world’s fastest aircraft.\n\n[Corbin Klett (CTO)](https://www.linkedin.com/in/corbinklett/) is an aerospace engineering PhD from Georgia Tech, where he applied control theory research to robotic systems. After building embedded software for a high-speed aircraft prototype, he cofounded Artifact to build software to accelerate hardware engineering workflows.\n\n**Watch a more detailed technical demo here:**\n\n\n\n![uploaded image](/media/?type=post&id=87430&key=user_uploads/2436016/73ae0568-6787-47a8-b086-db0bef921741)\n\n", "url": "https://www.ycombinator.com/launches/MkA-artifact-a-modern-workspace-for-electrical-design", "votes": 16, "created_at": "2025-02-05T04:13:30.452Z" } ] }, { "id": 30355, "name": "assistant-ui", "slug": "assistant-ui", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/11f41b527f94c63e7d0ee1e19db038344f713a8f.png", "website": "https://assistant-ui.com", "all_locations": "San Francisco, CA, USA", "long_description": "assistant-ui helps frontend developers add AI chat to their apps. Our product is used by several dozen companies, like LangChain, Stack AI, Browser Use, and Athena Intelligence. We're building an open source Typescript/React library and a backend as a service, with first class integrations into popular agent frameworks like LangGraph and Vercel AI SDK.", "one_liner": "Open Source React.js Library for AI Chat", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1738873528, "tags": [ "Developer Tools", "Generative AI", "Chat", "Web Development", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 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/assistant-ui", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/assistant-ui.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/assistant-ui", "x_url": "https://x.com/assistantui", "fb_url": null, "cb_url": null, "github_url": "https://github.com/assistant-ui", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/11f41b527f94c63e7d0ee1e19db038344f713a8f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ad1f668d6df40ad631ffb47c3e83f2c68a3d35a3.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1152943, "full_name": "Simon Farshid", "title": "Founder/CEO", "founder_bio": "Simon is the Founder and CEO of assistant-ui. He previously co-founded READO, a book recommendation engine, and grew it to 140k MAUs. Simon started coding at age 12 and has won 8 hackathons in 5 countries.", "is_active": true, "linkedin_url": "https://linkedin.com/in/simon-farshid", "x_url": "https://twitter.com/simonfarshid", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/af1d0d9c7c17a63007af5dd69ffcd511a7d9bd4e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87644, "title": "💬 assistant-ui - Open Source Typescript/React Library for AI Chat", "tagline": "The UX of ChatGPT in your own app, connected to your own AI agents.", "body": "Hi YC! I’m Simon, building **assistant-ui**, an open source Typescript/React library for AI chat.\n\nHundreds of projects use assistant-ui to build in-app AI assistants, including companies like:\n\n![Logos of LangChain, AthenaIntelligence, Browser Use, Stack AI](https://bookface.ycombinator.com/media/?type=post&id=87644&key=user_uploads/1152943/d3eda556-de8c-4404-b4be-c0295f9aeb8e)\n\nWith >50k+ monthly downloads, assistant-ui is the most popular UI library for AI chat.\n\n## **Getting Started**\n\nYou can get started by running **\\`npx assistant-ui create\\`** (new project) or **\\`npx assistant-ui init\\`** (existing project) in your terminal.\n\n![Gif showing the setup process, which takes under 30 seconds](https://bookface.ycombinator.com/media/?type=post&id=87644&key=user_uploads/1152943/17c78ae1-d8cf-4fc4-a8aa-056fe449da02)\n\n## **Features**\n\n* **Pre-built components**, fully customizable\n* **Connects to your backend**\n * We have first class integration for **AI SDK** and **LangGraph** or build your own\n* **Generative UI**: Map LLM tool calls and JSONs to custom UI components\n* **Frontend Tool Calls:** Let LLMs take action in your frontend app\n* **Human Tool Calls:** Human approvals and input collection\n* **Chat history and analytics** via assistant-cloud (the hosted offering)\n\n## **Customization**\n\nThe API of assistant-ui is inspired by libraries like **Radix UI** and **cmdk**. Instead of a single monolithic chat component, we give you composable primitives and a great starter configuration. You have full control over the look and feel of every pixel while leaving auto-scrolling, LLM streaming and accessibility to us.\n\n![Photo showing the modular component structure. ComposerPrimitive.Input is the chat input field, ComposerPrimitive.Send is the send button.](/media/?type=post&id=87644&key=user_uploads/1152943/d8eacc69-2d94-4c43-8fab-2dcac5e7f029)\n\nSample customization to make a perplexity lookalike:\n\n![Perplexity lookalike Chat UI](/media/?type=post&id=87644&key=user_uploads/1152943/16e96ae2-d563-4f6c-9047-6c3485a1cb3d)\n\n## **Demo Video**\n\n[Demo Video](https://youtu.be/9eLKs9AM4tU?si=jm9GzoFAcyM_tPT-)\n\n## **About**\n\nI’ve wanted to build my own dev tool company since high school. Last year, I built the first version of assistant-ui because I needed the UX of ChatGPT in my own app. The app I was building didn’t work out, but few friends asked me about the chat UI. Since then, AI chat has became increasingly popular as a means for delegating tasks to AI agents. My focus is on enabling human <> agent collaboration through better UX and AX (agent experience).\n\n![Photo of Simon, the founder](https://bookface.ycombinator.com/media/?type=post&id=87644&key=user_uploads/1152943/d43c8332-b160-40d8-8f27-849bd82806e3)\n\n## **Ask**\n\n* [Check out example demos](https://www.assistant-ui.com/)\n* [Star us on GitHub](https://github.com/assistant-ui/assistant-ui)\n* [Join our Discord](https://discord.com/invite/S9dwgCNEFs)\n* [Book a sales call](https://cal.com/simon-farshid/assistant-ui)", "url": "https://www.ycombinator.com/launches/Mnc-assistant-ui-open-source-typescript-react-library-for-ai-chat", "votes": 30, "created_at": "2025-02-13T15:37:24.704Z" } ] }, { "id": 30356, "name": "Artil", "slug": "artil", "former_names": [ "Fira" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e50d8dfa254f692b3d51a22620ca8519141e9ed2.png", "website": "https://artil.dev/", "all_locations": "London, England, United Kingdom", "long_description": "Artil gives AI agents their own email addresses and phone numbers so they can communicate and use online services. Agents can send and receive emails and text messages, sign up for services, and complete email and SMS verification. We’re building the identity and communication infrastructure for teams developing agents and people putting them to work.", "one_liner": "Agent identity and communication infrastructure", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1736800806, "tags": [ "Developer Tools", "B2B", "Email", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "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/artil", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/artil.json", "year_founded": 2025, "city": "London", "country": "GB", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/artilai/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e50d8dfa254f692b3d51a22620ca8519141e9ed2.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": 626328, "full_name": "Alex Tkachenko", "title": "Founder/CEO", "founder_bio": "CEO at Artil. Previously founded Hashscan, blockchain analytics startup. Created Hodler, crypto portfolio tracker app (sold in 2022).", "is_active": true, "linkedin_url": "https://linkedin.com/in/alextcn", "x_url": "https://twitter.com/jackqack", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5a8afd23b084a0bd4885df51efd9f1c676d29ac4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 100809, "title": "Fira MCP: Financial datasets in Claude and Excel", "tagline": "Connect SEC filings, UK Companies House, market data and earnings transcripts to your AI with source-cited answers", "body": "Reliable financial data access and trust in outputs are still the bottleneck in adopting AI in banking, consulting and investment firms. We built Fira MCP to solve that, starting from for teams adopting Claude. Our data connector lets your AI read and cite SEC and international filings, UK Companies House, market data, and earnings transcripts. It works with Claude, Claude for Excel, ChatGPT, and Copilot, while setup takes 3 minutes and it's free to try - .\n\n\n\n### Problem\n\nMany banking, consulting, and investment firms are moving day-to-day AI work to Claude. But reliable data access and trust in the outputs are still the bottleneck.\n\n### Solution - Fira MCP\n\nFira MCP plugs directly into Claude, ChatGPT, Copilot, and Claude for Excel as a data connector. Your AI gets access to filings, transcripts, and market data, with numbers linked back to the exact paragraph or row in the source document. It handles scanned PDFs, nested tables, and works across tens of documents in a single research thread.\n\n## Available datasets\n\n* **SEC Filings** — 8,000+ active US companies (10-K, 10-Q, 8-K, and more)\n* **UK Companies House** — 5M+ private companies, including scanned accounts\n* **International filings** — 10,000+ companies across 50+ countries\n* **Earnings call transcripts** — full transcripts with analyst Q&A\n* **Market data** — 20+ years of daily stock and FX, US and global\n* **Custom datasets** — proprietary and third-party integrations for enterprise\n\n### Use cases\n\n**I. Peer comparison in Excel** — pull financials, strategy, and risk factors across competitors directly from filings.\n\n![uploaded image](/media/?type=post&id=100809&key=user_uploads/626328/99b5fdce-2a4b-4053-a6c1-6b94ec87d578)\n\n**II. Corporate structure mapping** — trace ownership and financials through complex group structures from UK filings.\n\n![uploaded image](/media/?type=post&id=100809&key=user_uploads/626328/c1665625-8a07-414d-ac76-b7ecd356b12b)\n\n**III. Earnings call analysis** — review management commentary and analyst Q&A for sentiment and evasive answers.\n\n![uploaded image](/media/?type=post&id=100809&key=user_uploads/626328/7fb98502-0b18-4486-b7f7-5b6655161588)\n\n**IV. Document verification** — cross-reference every number against source, catch rounding deltas and inconsistencies.\n\n![uploaded image](/media/?type=post&id=100809&key=user_uploads/626328/c11d5c2d-d1d3-4328-a4bb-63dd13aba8d6)\n\n### Asks\n\nLooking to connect with finance professionals (banking, PE, credit, hedge funds, wealth) who want their AI assistant to actually do useful work.", "url": "https://www.ycombinator.com/launches/QDx-fira-mcp-financial-datasets-in-claude-and-excel", "votes": 14, "created_at": "2026-05-05T19:11:01.299Z" }, { "id": 88048, "title": "Fira: Agentic AI Analyst", "tagline": "Accelerating financial analysts with source-cited insights and verified calculations from complex company filings", "body": "**Fira** is building an agentic AI analyst for financial research and automation, starting with UK investment firms. Today, we accelerate analysts with source-cited insights and verified calculations from complex company filings.\n\n\n\n# Problem\n\nAnalysts at investment banks and boutique M&A firms waste tons of time digging through hundred-page annual reports to prepare pitch decks and models. General LLM tools aren't good enough for the job — lacking accuracy, domain-specific data, and output verification. The problem extends to senior professionals who need to quickly understand new topics deeply while staying grounded in truthful data sources.\n\n---\n\n# Solution\n\nFira saves analysts time by instantly searching, analyzing and citing UK company filings. It reads multiple filings and reports (including 500 page long and scanned documents) to provide source-cited answers and verifiable calculations. We cover hundreds of public UK companies, integrate with Companies House for private company data, and allow to upload your documents.\n\n---\n\n# Use cases\n\n**I. Breakdown detailed financial and operational KPIs in seconds**\n\n![uploaded image](/media/?type=post&id=88048&key=user_uploads/626328/d03ed2eb-89ea-49f2-af3e-895cf89dd3a7)\n\n**II. Perform general research on data scattered across reports and filings**\n\n![uploaded image](/media/?type=post&id=88048&key=user_uploads/626328/af63b5d1-c1ba-4551-9168-91c8b3a8ca8f)\n\n**III. Fira calculates financial metrics it can't find, providing transparency in formula and variables used**\n\n![uploaded image](/media/?type=post&id=88048&key=user_uploads/626328/d65b3dba-a6ce-4653-86e9-9ddedcb5d0a4)\n\n# Asks\n\nLooking to connect with senior professionals and analysts at investment banks, M&A advisory firms, hedge funds, and wealth management firms. Especially in the UK. If you work in finance or know someone who does, we'd love an intro. Book a demo [here](https://firaresearch.com) or email us at [alex@firaresearch.com](mailto:alex@firaresearch.com).\n\n# About us\n\nAlexey and Alex are both technical founders, met 9 years ago at university and been close friends since.\n\nAlexey was CTO and co-founder of [resume.io](http://resume.io), one of the largest resume builder websites (acquired in 2021). He’s also an author of wouter, a React router library with 7k stars and 580k downloads/month, and a regular tech conference speaker.\n\nAlex was the founder and CEO of Hashscan, on-chain user analytics startup. Previously, he built a popular crypto porftolio tracker app Hodler (sold in 2022).\n\n![uploaded image](/media/?type=post&id=88048&key=user_uploads/626328/13c0b9c8-06c4-4307-b446-8edc81b35aab)\n\n# Links\n\nWebsite: \n\nLinkedIn: ", "url": "https://www.ycombinator.com/launches/Mu8-fira-agentic-ai-analyst", "votes": 35, "created_at": "2025-02-26T01:51:02.509Z" } ] }, { "id": 30357, "name": "Vantel", "slug": "vantel", "former_names": [ "Vantage AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/882e8b4377acdc7c7f1830babf0cd1f7b2e00058.png", "website": "https://vantel.com/", "all_locations": "Stockholm, Stockholm County, Sweden", "long_description": "AI OS for commercial insurance brokerages.", "one_liner": "AI Platform for Commercial Insurance Brokerages", "team_size": 5, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1738065592, "tags": [ "Documents", "Insurance", "CRM" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Fintech", "Insurance" ], "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/vantel", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/vantel.json", "year_founded": 2024, "city": "Stockholm", "country": "SE", "linkedin_url": "https://linkedin.com/company/vantelinc/", "x_url": "https://x.com/Vantel_AI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/882e8b4377acdc7c7f1830babf0cd1f7b2e00058.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": 1763011, "full_name": "Love Redin", "title": "Founder/CEO", "founder_bio": "CEO of Vantel. Previously data scientist at venture-backed startups and McKinsey/QuantumBlack, venture capital investor, software engineer at Sweden’s largest independent fund manager, and claims analyst at Scandinavia's largest insurance company. Arctic Army Ranger with background in engineering physics and pure mathematics from KTH Royal Institute of Technology in Stockholm, Sweden.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/love-redin/", "x_url": "https://x.com/redinvantel", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2df1b9e30a05edd6b40d3f5389533dc30671fc0a.jpg" }, { "user_id": 677886, "full_name": "Ulme Wennberg", "title": "Founder/CTO", "founder_bio": "CTO at Vantel. Ex-Microsoft software engineer, who has founded several startups, and 1k+ research citations within NLP. Machine learning PhD dropout and first-principles thinker. Pursued parallel studies in Engineering Physics at Sweden's top Engineering School and Business School (KTH & SSE). Graduate studies at the University of Washington, including co-authoring one of the most cited information extraction papers of 2019. Also built conversational agents with Amazon Alexa.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ulme-wennberg/", "x_url": "https://x.com/UlmeW", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5dccd01e74364e1680bb575226a4c38adee00927.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87228, "title": "Vantel - AI Software for Commercial Insurance Brokers", "tagline": "We help commercial insurance brokers automate 50% of their manual workflows, enabling them to focus on higher-value tasks like building new client relationships.", "body": "**TL;DR**\n\nCommercial insurance brokers spend 80% of their time on manual, repetitive tasks like policy analysis, manual data entry, documentation, billing and administration. Vantel builds AI software that automates these workflows, **currently helping brokers save 10+ hours per week**. Our first product lets brokers compare five 100-page insurance policies across 50 factors in 5 minutes instead of 5 hours.\n\n\n\n**The Problem: Commercial Insurance is Extremely Manual**\n\nAlmost every company needs insurance. Most companies do not have the competency in-house to know exactly what coverage they need. Because of this, they often hire a commercial insurance broker to advise them on insurance-related matters.\n\nAfter interviewing 100 commercial insurance professionals, we discovered some of the largest challenges in the industry: documents and workflows are unstandardized, there are multiple parties involved, and high-quality data is hard to collect. This results in **commercial insurance brokers spending the majority of their time on highly manual processes**:\n\n* Comparing policy documents\n* Validating insurance requirements in contracts versus policies\n* Regulatory documentation of advisory work\n* Compiling claims data from multiple sources into a common format\n* Translating complex material from carriers to a digestible format for the client\n\n**Our Solution: AI-Powered Workflow Automation for Brokers**\n\nVantel is building an AI platform that automates the most time-consuming tasks for commercial insurance brokers. We have started with:\n\n**1. Policy Comparison**\n\n* Compare 5 policies in 5 minutes (versus 5 hours if done manually)\n* Works with any carrier and policy type, instantly recognizing differences and key terms\n* Ranks policies based on coverage quality\n\n**2. Contract Validation**\n\n* Cross-check insurance requirements in contracts versus policies\n* Identifies gaps in current coverage, to avoid hidden risks\n* Enables more extensive client service – this is currently a high-touch activity\n\n**Why Now?**\n\nWith recent advances in LLMs, we are creating a product that was impossible to build 12 months ago. During our conversations with brokers, we have learned that **it is absolutely possible to build a revolutionary product in commercial insurance in just a few months**. The feedback we’re getting from brokers is giving us an incredible conviction that we’re on the right track. It is amazing to see their jaws drop when they realize countless hours of work can be automated with our software, freeing up time to serve more clients.\n\n**Team**\n\n![uploaded image](/media/?type=post&id=87228&key=user_uploads/1763011/7b86fe12-d8c8-4bbd-98e1-8e2551d3d8fd)\n\n* [Love Redin](https://www.linkedin.com/in/love-redin/) (CEO) - Previously data scientist at venture-backed startups and McKinsey/QuantumBlack, venture capital investor, software engineer at Sweden’s largest independent asset manager, and claims adjuster at Scandinavia's largest insurer prior to university. Arctic Army Ranger with background in engineering physics and pure mathematics from KTH Royal Institute of Technology in Stockholm, Sweden.\n* [Ulme Wennberg](https://www.linkedin.com/in/ulme-wennberg/) (CTO) - Founded several startups, ex-Microsoft software engineer, and 800+ research citations within NLP. Machine learning PhD dropout and first-principles thinker. Pursued parallel studies in Engineering Physics at KTH Royal Institute of Technology and Business and Economics at Stockholm School of Economics. Graduate studies at the University of Washington, including co-authoring one of the most impactful information extraction papers of 2019, and building conversational agents with Amazon Alexa.\n\n**Our Ask**\n\nIf you are (or know!) a commercial insurance broker looking to save 10+ hours per week on manual processes to spend more time with your clients, we would love to show you what we're building – please reach out to us at [founders@vantel.ai](mailto:founders@vantel.ai).", "url": "https://www.ycombinator.com/launches/Mgu-vantel-ai-software-for-commercial-insurance-brokers", "votes": 20, "created_at": "2025-01-28T18:40:49.899Z" } ] }, { "id": 30363, "name": "BlindPay", "slug": "blindpay", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f1817a0c9b9ff2db524e7cb0712e6867cdfcb2f0.png", "website": "https://blindpay.com/", "all_locations": "San Francisco, CA, USA", "long_description": "BlindPay is a stablecoin API that enables companies to send and receive money worldwide using fiat money, stablecoins and multiple blockchains. We handle all the complex compliance and regulatory requirements, so companies can focus on their core business.", "one_liner": "Stablecoin API for global payments", "team_size": 9, "industry": "Fintech", "subindustry": "Fintech -> Payments", "launched_at": 1737430094, "tags": [ "Developer Tools", "Fintech", "Crypto / Web3", "Payments", "API" ], "tags_highlighted": [ "Crypto / Web3" ], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Fintech", "Payments" ], "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/blindpay", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/blindpay.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/blindpay", "x_url": "https://x.com/blindpay", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f1817a0c9b9ff2db524e7cb0712e6867cdfcb2f0.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": 754326, "full_name": "Bernardo Simonassi", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO @ BlindPay — Stablecoin API for global payments. Has been shaping the stablecoin payments industry for the past 3 years, during which he developed the first payroll platform powered by stablecoins. Previously at PicPay, he developed instant payment solutions serving 60M+ users.", "is_active": true, "linkedin_url": "https://linkedin.com/in/bernardosm", "x_url": "https://x.com/bebedaselva", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2e8c4b7027ac80cdbaedd402799df3c16df8960d.jpg" }, { "user_id": 2097650, "full_name": "Joao Borges", "title": "Founder", "founder_bio": "Co-Founder @ BlindPay — Stablecoin API for global payments ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joaoborgesjr/", "x_url": "https://x.com/joaocsb", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9c427a5e11824b6d0f01f3c6a7e625e2779a13e3.jpg" }, { "user_id": 2098545, "full_name": "Gustavo Marinho", "title": "Founder/CPO", "founder_bio": "Co-Founder & CPO @ BlindPay — Stablecoin API for global payments. Specializing in consumer-facing financial products for Latin America, I bring over 8 years of experience building digital products. At PicPay (60M+ users), I led the design of a loans marketplace and instant payment initiatives, processing $1.2M in daily loans during MVP phase. As Co-founder of Dropull, I built and scaled a social gaming platform to 1M users.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gustavomarinho/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8e6b7abed2477e4cfcf65814f4db9bcb93e1384e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87070, "title": "BlindPay - Stablecoin API for Global Payments", "tagline": "Core Infrastructure for LatAm Payments", "body": "### **TL;DR**\n\nBlindPay is a stablecoin API that helps companies navigate LatAm's complex financial regulations while enabling fast and affordable global payments. Watch our demo [here](https://www.youtube.com/watch?v=N9hHISlGp9Y).\n\n### **The Problem**\n\nBusinesses face significant hurdles when sending and receiving global payments:\n\n* Traditional methods rely on correspondent banks, adding fees (1.5-6% for B2B) and delays of 2-5 business days or more. Bank transfers typically require 2-4 intermediaries between smaller countries, with costs reaching hundreds of dollars. \n* Frequent fluctuations in Latin American currencies, coupled with extreme inflation rates (over 50% annually in some countries), make international payments unpredictable and risky. \n* Complex regulations and strict compliance rules across jurisdictions require different documentation for each institution. \n* Fragmented payment landscapes across countries require integration with multiple local payment systems (like SPEI, Pix, PSE), making implementation resource-intensive\n\n### **Our Solution**\n\nOur API integrates seamlessly with your existing workflows. With BlindPay you can:\n\n* Send and receive payments using fiat money and stablecoins\n* Get competitive FX quotes and low transaction fees\n* Connect directly to local instant payment systems across Latin America\n* 24/7 payments with instant settlement\n* Ensure compliance through blockchain screening, tiered KYC/KYB levels, and continuous transaction monitoring\n\nExpand your global reach while reducing costs and transaction times by up to 80%. Powered by stablecoins and blockchain, our platform eliminates the delays, high fees, and regulatory barriers of traditional payment systems.\n\n![uploaded image](/media/?type=post&id=87070&key=user_uploads/2098545/f81c874e-a8e7-4a92-ab1e-de8897529a63)\n\n### **Developer Experience**\n\nAdd fiat gateways to your apps with minimal code. Our SDKs support multiple languages and frameworks, backed by a developer-friendly REST API with public OpenAPI documentation.\n\n* Support for multiple blockchains and major stablecoins\n* Direct integration with local payment systems like SPEI (Mexico), Pix (Brazil), PSE (Colombia) and Transfers (Argentina)\n* Separate sandbox and production environments with unique API keys and webhooks\n* Real-time payment tracking and transaction monitoring\n\n### **Team**\n\n![uploaded image](/media/?type=post&id=87070&key=user_uploads/2098545/d3fdd3f4-c653-427c-8e06-159b1ac4809f)\n\n**Bernardo Simonassi (CEO)** has been shaping the stablecoin payments industry for the past 3 years, where he developed the first payroll platform powered by stablecoins. Previously at PicPay, he developed instant payment solutions serving 60M+ users.\n\n**Gabriel Lyra (CTO)** led software engineering at LendingClub, where he architected and implemented critical financial infrastructure handling $50B in monthly loan transactions. Previously at AWS, he optimized infrastructure scripts that reduced monthly costs from $15M to $1M.\n\n**João Borges (COO)** is a prominent leader and entrepreneur, best known for founding one of Brazil's largest blockchain startups. In its first year of operation, he successfully scaled the company to seven-digit revenue and raised millions of dollars from top-tier venture capitalists. João is also an active contributor to the Nouns DAO ecosystem and has been recognized on the Forbes 30 Under 30 list.\n\n**Gustavo Marinho (CPO)** is a former product leader at top-tier Brazilian fintechs, where he specialized in consumer-facing financial solutions for Latin America. Previously at PicPay, he built instant payment solutions and credit products, successfully growing a personal loan portfolio to over $100M within six months of launch. \n\n### **Our Ask**\n\nHey founders, are you building a product that needs global payment functionality? Email us at [founders@blindpay.com](mailto:founders@blindpay.com)\n\nBlindPay is the simplest way to integrate global payments into your product:\n\n* Neobanks & fintech\n* Payroll solutions\n* Remittance providers\n* Wallet infrastructure providers\n* Traditional FX industry\n* Stablecoin aggregators\n* Marketplaces & platforms\n* Gaming & crypto apps\n* Billing & invoicing software\n* Freelancer & gig economy tools", "url": "https://www.ycombinator.com/launches/MeM-blindpay-stablecoin-api-for-global-payments", "votes": 66, "created_at": "2025-01-22T22:26:34.751Z" } ] }, { "id": 30365, "name": "Mentra", "slug": "mentra", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7244027171670b7caf312b35e16b9e5cfdd49164.png", "website": "https://mentra.glass", "all_locations": "San Francisco, CA, USA", "long_description": "Mentra is building the open source operating system for smart glasses. The smart glasses hardware is finally ready, so we're building the OS and app store to power the next computing platform.", "one_liner": "Building the open source smart glasses operating system.", "team_size": 12, "industry": "Consumer", "subindustry": "Consumer -> Virtual and Augmented Reality", "launched_at": 1738358223, "tags": [ "Hardware", "Consumer", "Open Source", "AI", "AR" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Consumer", "Virtual and Augmented Reality" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": true, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/mentra", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/mentra.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/mentra-labs", "x_url": "https://x.com/MentraLabs", "fb_url": null, "cb_url": null, "github_url": "https://github.com/mentralabs", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7244027171670b7caf312b35e16b9e5cfdd49164.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/70/1741815063-3346fa6dd1283054ad4d83e851fad431/4924d1344d832397056b0e33399a1db5.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022726Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=07a876634d458ece6858dff57258d2ba748adbcf4a155dfc1ddfe907d4f1dc70", "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 899367, "full_name": "Cayden Pierce", "title": "Founder/CEO", "founder_bio": "Worked with the inventor of smart glasses. Built the OpenSourceSmartGlasses hardware and demoed at CES. Joined MIT Media Lab to make proactive AI smart glasses. Dropped out of MIT to start Mentra.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cayden-pierce/", "x_url": "https://x.com/caydengineer", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/290607ab9db932c6e26a506f336d80a582498618.jpg" }, { "user_id": 590151, "full_name": "Alexander Israelov", "title": "Founder", "founder_bio": "I started building smart glasses during my CS degree. Built the OpenSourceSmartGlasses hardware and proactive AI system. Worked at a spatial computing company in HK+Shenzhen to start Mentra.\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/alexanderisraelov", "x_url": "https://x.com/a_israelov", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9eee4da98679bc40a43bd2cf5de6567ce309487d.jpg" } ], "jobs": [], "news": [ { "title": "Mentra Raises $8 Million To Launch Open-Source OS For Smart Glasses", "url": "https://www.forbes.com/sites/charliefink/2025/07/01/mentra-raises-8-million-to-launch-open-source-os-for-smart-glasses/", "date": "Jul 01, 2025" } ], "launches": [] }, { "id": 30368, "name": "Red Barn Robotics", "slug": "red-barn-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f9fea0321812586f595ebfa63ebe19d45c322ad2.png", "website": "https://www.redbarnrobotics.com", "all_locations": "Seattle, WA, USA", "long_description": "We are building an autonomous robot to precisely eliminate weeds and leave crops untouched. Despite $100 billion being spent annually on weed control, weeds still cost the US economy $46B/year. Weeds steal sunlight and nutrients from crops, forcing farmers to choose between higher costs and lower yields. Moreover, many farms still rely on hand labor to control weed growth. The process is slow, expensive, and increasingly difficult due to constant labor shortages (1 out of every 5 US farm positions go unfilled each year). Our robot nicknamed the Field Hand is able to automate one of the worst jobs on a farm and will help healthily feed the world. ", "one_liner": "A Roomba for weeds on a farm. ", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Agriculture", "launched_at": 1739827651, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Industrials", "Agriculture" ], "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/red-barn-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/red-barn-robotics.json", "year_founded": 2023, "city": "Seattle", "country": "US", "linkedin_url": "https://www.linkedin.com/company/red-barn-robotics", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f9fea0321812586f595ebfa63ebe19d45c322ad2.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": 277065, "full_name": "Adam Iseman", "title": "Founder/CEO", "founder_bio": "I'm the CEO of Red Barn Robotics where we are building an autonomous weeding robot to help healthily feed the world. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/adamiseman", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f0eff0617da99a47f99dce8f84d7f9be22b30910.jpg" }, { "user_id": 1921575, "full_name": "Ilya Kelner", "title": "Founder/CTO", "founder_bio": "CTO/cofounder at Red Barn Robotics. Previously worked on:\nFlight software and testing architecture @ Relativity Space - Flight software lead. Built: triple string fault tolerant flight computer architecture, Dockerized flight software deployments, CI/CD for HOOTL, HITL, VITL.\nAutonomous cars @ Nvidia.\nStarlink @ SpaceX.\nXbox @ Microsoft.\nEarly employee at 2 other startups in the past.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ilyakelner/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eb20e30f0c93956ebe963274bcacca8e448b5d7f.jpg" }, { "user_id": 1662245, "full_name": "Alex Neff", "title": "Founder/COO", "founder_bio": "Co-founder and COO of Red Barn Robotics, building an autonomous weeding robot to help healthily feed the world.\n\nPreviously Senior Product Manager at Amazon where I led the development of new ML based search algorithms.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alex-neff-2245732b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6e4b51c3e5b8f44058daf4e71f15df7ea3dad456.jpg" } ], "jobs": [], "news": [], "launches": [] } ]