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"founder_bio": "Andrew is the Co-Founder and CTO of Poka Labs. \n\nBefore Poka, he worked on critical data infrastructure systems at Meta, as well as optimization software at a Series A startup (acquired) that helped mobility companies boost their revenue 40%.\n\nHe has both an MBA and MS degree at Harvard where he focused on ML systems.",
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"body": "### Summary:\n\n* We help chemical manufacturers automate their production planning and scheduling without the need for spreadsheets or complex implementations\n* Schedule a demo - \n\nHi everyone! We’re Andrew and Malay — the founders of Poka Labs.\n\n### ❌ Problem\n\nProduction planning is the “brains” of chemical operations. Yet even today, the $5.6 trillion chemical industry relies on spreadsheets and humans to manage the process.\n\nThis leaves plants to constantly fight fires in order to meet customer orders on time and maximize manufacturing margins. Any change, such as inventory delays, labor shortages, or unexpected maintenance, further stresses operations. Existing systems, such as ERPs, are too rigid in their data inputs to adapt to these types of changes.\n\n### ✅ Our Solution: Adaptive Production Planning with AI\n\nPoka Labs integrates with existing information (data historians, emails, PDFs, ERPs, etc) to put chemical production scheduling on **autopilot**. Our software automates analytics, scheduling, changes, and communication within one platform that anyone can use.\n\nWith Poka Labs, chemical plants can:\n\n* Maximize revenue\n* Minimize transition costs\n* Eliminate messy spreadsheets\n* Increase visibility\n\n\n\n### 🎉 Our Story\n\n[Malay](https://linkedin.com/in/yalamshah) is a chemical engineer who has worked in chemical plants across 3 continents. He experienced these issues firsthand and saved his prior employers over $100+ million on process improvement and production planning projects.\n\nHe met [Andrew](https://linkedin.com/in/andrewbass) while they were pursuing their MBA at Harvard Business School. Andrew worked as a software engineer on data infrastructure systems at Meta before working on optimization problems at a seed-stage startup. He also completed a Masters degree at Harvard specializing in ML.\n\nTogether, we’re passionate about deploying modern software in the chemical industry.\n\n### ❓ The Ask\n\n* If you work in chemical manufacturing, we’d love to chat! Contact [malay@pokalabs.com](mailto:malay@pokalabs.com)\n* Share this post! Is there anyone in your network that deals with planning for chemicals? We’d love to chat with them\n * _Copy & paste blurb_: A team of Harvard grads created an AI-powered production planning platform designed for the chemical industry. It automates scheduling, changes, and analytics in one platform. Put your plant on autopilot with Poka Labs. Contact [malay@pokalabs.com](mailto:malay@pokalabs.com) to see a demo from the founders.\n\n\n\n",
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"title": "Simplex - enterprise-grade web agents",
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"body": "Simplex builds enterprise-grade web agents that companies use to integrate with legacy portals. We handle everything from building the web agents for you to integrating directly with your existing software stack like forward deployed engineers.\n\nCustomers use Simplex in production right now to:\n\n* submit information from outbound calls into freight software\n* edit and download their customers’ invoices\n* fetch websites’ internal APIs\n* and more.\n\nhttps://youtu.be/97gX3I9PMZ0\n\n# The Problem\n\nLegacy portals aren’t well suited for web agent automation — portals are unintuitive to navigate and functionality is often broken. Existing web agents like Operator lack fine-grained control over agent behavior and can’t consistently perform these critical legacy workflows.\n\nA fully autonomous AI might fail to reach the desired page, get stuck pressing a broken button, or mistype critical information like an invoice amount or a shipping address. Without control over agent behavior and clear observability during workflows, web agents are blocked from being used during production in these critical scenarios.\n\n# The Solution\n\nSimplex is the production-grade web agent platform that enables AI agents to reliably do work on legacy portals at scale. You can see a live demo of Simplex below – the demo is at 1x speed.\n\nhttps://youtu.be/4VSexxYptV4\n\nWe’ve engineered Simplex to give AI agent developers control, transparency, and reliability. With Simplex you can:\n\n* easily **integrate with your existing stack** – pass the results from LLM calls, databases, your existing agents into Simplex\n* **cache element actions** for speed and consistent performance\n* build **strong evals** to stress-test your workflows at scale and emulate production conditions\n* scale up to **100s of concurrent browser sessions** while handling CAPTCHAs, 2FA, and website authentication on your customers’ portals\n* ensure **no incorrect actions** are taken — if you prompt our agents to click on elements that don’t exist on the page, we'll raise an exception\n* debug with shareable **session replays** and **detailed agent logs**\n\n# The Team\n\n[Shreya Karpoor](https://www.linkedin.com/in/shreya-karpoor/) and [Marco Nocito](https://www.linkedin.com/in/marco-nocito/) are MIT grads who’ve spent years doing computer vision work at Waymo, Tesla, and within MIT labs. They’re excited to use their expertise to bring reliable web agents into widespread production.\n\n# \n\n# Our Ask\n\n* [Book a call here](https://cal.com/marco-nocito-kon7ng/30min) if you want to request API access.\n* [Visit our website here](https://www.simplex.sh/) to see a live demo of Simplex.",
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"title": "Simplex - Web automation for developers",
"tagline": "API to automate manual workflows on the web",
"body": "**TL;DR:**\n\n* Simplex is an API that allows you to automate manual workflows on the web. For example, a customer uses us to autonomously purchase materials from Amazon, poll their email inbox for tracking information, then update their internal documentation with that tracking info every six hours.\n* Book [time with us here](https://calendly.com/simplex-interest/marco-chat) if we can help you automate your business.\n\nHi everyone, we’re [Shreya](https://www.linkedin.com/in/shreya-karpoor/) and [Marco](https://www.linkedin.com/in/marco-nocito/), two MIT grads building Simplex.\n\nTeams are often burdened by manual tasks that have to be repeated thousands of times per month — for example, populating spreadsheets with information from recent emails. From our experience, we found that asking AI agents to solve these problems just didn’t work. They often didn’t follow the same path when we asked them to do the same thing twice, and we couldn’t control any of the actions they took when they made a mistake.\n\nSo we built Simplex to inject intelligence into repeatable, known workflows to help you automate your manual tasks.\n\nWith Simplex, writing a function to pull tracking information from your email is as easy as this:\n\n\n\n**Watch a quick demo here:**\n\n\n\nA few reasons customers love Simplex:\n\n* **Straight-forward, reliable intelligence:** We break up your web workflows into smaller, more atomic actions (click, type, extract) to enforce while allowing you to leverage the intelligence of AI.\n* **Extract anything on the web:** We’ve built our own vision system to more accurately extract small icons, text, images, or even entire sections of a page.\n* **Run on any site, even internal tooling:** We store your credentials securely to handle website authentication, meaning you can use Simplex on any website or private tooling you have access to.\n* **No need to deal with browser infrastructure yourself:** We handle all the infrastructure, hosting, and scheduling, letting you run these workflows asynchronously at scale.\n\nPeople have requested Simplex to:\n\n* **act as procurement software:** automatically order parts and update internal spreadsheets with delivery information across multiple vendors (Amazon, DigiKey, etc.)\n* **scrape financial information for their hedge fund clients:** pull daily headlines and perform sentiment analysis across hundreds of financial websites for quantitative analysis research\n* **autonomously update their internal database of products:** aggregate manufacturer marketing information for over 2,000,000+ retail products\n* **do the work of an entire data collection team:** collect grant and award information from over 700 government websites\n* and more…\n\n## Our Ask\n\n* We’re looking to onboard teams, especially those that are burdened by manual processes or need to scrape hundreds of thousands of websites. Book a [meeting with us](https://calendly.com/simplex-interest/marco-chat) for a demo and API access. We’re happy to write your first automation for you.",
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"votes": 15,
"created_at": "2025-01-27T15:36:17.454Z"
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{
"id": 83077,
"title": "Simplex: on-demand photorealistic vision datasets",
"tagline": "Receive millions of high quality images and labels for training your AI models.",
"body": "**TL:DR;** Simplex creates photorealistic vision datasets rendered from 3D scenes for AI model training. Submit a request [on our website](https://simplex.sh/#data-request-form) to receive high-quality data and labels.\n\n\n\n**Data request for the above sample:** _“Generate images and labels of a home kitchen with household objects on a center table. I need a variety of household objects in a variety of lighting conditions. Our desired labels are semantic segmentation and depth maps.”_\n\nHi everyone, we’re [**Shreya**](https://www.linkedin.com/in/shreya-karpoor/) and [**Marco**](https://www.linkedin.com/in/marco-nocito/), two MIT grads building Simplex.\n\nCollecting vision data for model training is time-consuming, costly, and often unsafe. Shreya spent over 200 hours physically operating a robot to collect image training data during her research at MIT. Marco worked on machine learning for synthetic data at Waymo to solve this exact problem.\n\nWe realized data scarcity wasn’t just an issue in robotics – it affects any company training vision models. When fine-tuning foundation models or building a new dataset from scratch, teams must curate existing data or label and collect data themselves. \n\nWe resolve the data scarcity problem by generating photorealistic ground truth labeled datasets for **any scenario**. We can generate **millions of varied images** **from 3D scenes** using our physics engine pipeline.\n\nHere’s how you’d use Simplex:\n\n1. Fill out our data request form [here](https://simplex.sh/#data-request-form) – it takes less than a minute. \n2. Give us feedback on a few sample image/label pairs that we generate. Repeat if necessary.\n3. Once you’re satisfied, download your complete dataset.\n\nWe support semantic segmentation, captions, simulated LiDAR, depth maps, and bounding boxes. You can generate large volumes of randomized scenes or provide a CAD/phone scan model for more specific scenes.\n\n# **Our Ask**\n\n* If you or someone you know needs vision data, fill out our 30-second data request [form.](https://www.simplex.sh/#data-request-form) We’re taking a limited number of early customers.\n* If you have a more complicated request or would otherwise like to contact us, email [shreya@simplex.sh](https://mailto:shreya@simplex.sh).\n\n# **The Team**\n\n\n\n[**Shreya**](https://www.linkedin.com/in/shreya-karpoor/): Computer science (BS and MEng) at MIT, software engineer at Tesla and Viam. Built simulation pipelines for locomotion and dexterous manipulation research at MIT. \\\n[**Marco**](https://www.linkedin.com/in/marco-nocito/): Computer science (BS and MEng) at MIT, software engineer at Waymo, Bloomberg, and Viam. Built machine learning models to generate synthetic data at Waymo.",
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"tagline": "Your entire back-office in one platform. ",
"body": "\\~70% of every company’s expenses are related to people.\n\nBut today’s HR/payroll and accounting systems are separate. This leads to lost context, and founders end up with more work by having to answer the same questions repeatedly.\n\n**Central now solves this by consolidating your entire back-office:** accounting, taxes, R&D tax credits plus payroll, benefits, and state compliance.\n\n200+ YC companies have already made the switch to using Central for everything, including Wordware, Bitesight, Offstream, 1849 Bio and Undermind.\n\n**Learn more and get started for free at [centralhq.com](http://centralhq.com)**\n\n\n\n---\n\n—\n\n# **Why Central for accounting, taxes & R&D credits:**\n\n1. **One platform for your entire back-office**\n * Onboard once and never answer the same question again across vendors\n * Accurate closed books every month\n * Federal, state, and local franchise tax filings\n * Unlimited 1099s for all contractors\n * Complete R&D study & instant redemption to payroll\n * Includes Central payroll, benefits, and state compliance\n2. **Talk to your financials in Slack**\n * Query your burn, runway, revenue, etc.\n * Find docs like P&L, balance sheet, etc\n * Get answers to common financial questions\n3. **Bookkeeping built for fundraising**\n * Better categorization with more company context\n * Proper revenue recognition & asset depreciation\n * Financial summary every month to share with investors\n * Get custom diligence docs & reports fast\n4. **Dedicated startup CPA in Slack**\n * One point of contact who understands your business\n * Message them anytime in Slack\n * Catch mistakes before they happen.\n5. **White-glove migration / set up in 15 mins**\n * Run on QuickBooks or Puzzle (you own your account)\n * Just add us as an admin\n * Historical review and clean up\n\n\n\n—\n\n# **Comes with payroll, health insurance and state compliance:**\n\nMore info here - [centralhq.com](http://centralhq.com)\n\n1. **Payroll**\n * Pay US employees\n * Pay global contractors in 200+ countries\n * Unlimited pay runs, one-off payments, reimbursements, etc.\n2. **Compliance in 50 US states**\n * State foreign qualifications and registered agent (required to do business)\n * State payroll registrations (required to run payroll)\n * Workers' compensation insurance (required when you have 1 employee)\n * Government mail handling and past fine resolution\n3. **Benefits**\n * Access to a licensed health insurance broker\n * Medical, dental, vision, life, disability insurance\n * Guidance to pick the right plans & save money\n * 401(k)\n4. **HR & team management**\n * Offer letters, CIIAA, and other docs\n * I-9 employment verification\n * Onboarding, off-boarding, severance, etc\n5. **Central AI Agent in Slack**\n * Find and edit anything like salaries or addresses\n * Start workflows like hiring or firing\n * Retrieve docs like paystubs or certificate of incorporation\n6. **24/7 human support & experts (Slack & email)**\n7. **White-glove migration & setup (takes 15 mins)**\n\n\n\n—\n\n# **Get started for free - [centralhq.com](http://centralhq.com)**\n\n* **First 50 companies (limited offer)** - Free payroll, benefits, state compliance (free period based on team size, needs and batch). Add-on accounting, taxes & R&D credits ([see pricing](https://centralhq.com/pricing))\n* **YC F25 -** Everything above + free accounting (ends when you raise post-YC or after 6 months)\n* One quick call to see demo & setup everything. Migrating? We do all the work.\n* No annual contracts. Cancel anytime.",
"url": "https://www.ycombinator.com/launches/OR7-central-accounting-taxes-r-d-tax-credits-payroll-benefits-state-compliance",
"votes": 26,
"created_at": "2025-09-18T19:49:49.798Z"
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"title": "Central: Payroll + benefits for startups. Save weeks of work & fines.",
"tagline": "The first back-office platform that automates all the painful compliance work.",
"body": "# **📝 TL;DR:**\n\n* [Central](https://www.centralhq.com/?utm_source=launchyc) is the first payroll & benefits platform for startups that automates all the painful compliance work – saving you weeks of work and fines.\n* **Start for free -** [**www.centralhq.com**](https://www.centralhq.com/?utm_source=launchyc)\n * _10 mins to setup + we’ll do all the migration work._\n\n# ——\n\nFounders are drowning in back-office work. Even with the current recommended platforms, payroll, benefits, compliance was a never-ending pain in the…\n\nWhy do founders still need to understand all this?\n\nWhy do founders still have to register in multiple states to run payroll, set up worker’s compensation, pay random payroll related taxes, deal with scary government mail, update addresses across state filings, troubleshoot with insurance companies?\n\nA tragedy…\n\n\n\n# ——\n\n# **👋 HELLO CENTRAL: Save weeks of work & avoid fines.**\n\nCentral is the first payroll, benefits & ops platform designed for busy founders, not HR/finance professionals.\n\nUnlike other platforms, Central handles each compliance task from start to finish. You don’t need to learn or do anything. You just keep building because that’s what truly matters.\n\n\n\nSo, here’s everything you get:\n\n**Payroll & compliance**\n\n1. **Hire and pay anyone globally:** Central supports founders & employees in all 50 U.S. states and contractors in 200+ countries. We’ll handle reimbursements, offer letters, NDAs, I-9 verification, and more.\n2. **Automated payroll state registrations:** Existing platforms make founders interface with state agencies, leading to errors & fines. Central automates this entire process resulting in accurate tax IDs and withholding rates.\n3. **Automated payroll tax filings:** Existing platforms cover some taxes, and leave founders to handle the rest, leading to mistakes and fines. Central pays all taxes and verifies payments with federal, state, and local agencies.\n4. **Automated worker’s comp:** When you hire your first employee in a state, you need state-specific worker’s compensation insurance. Existing platforms make you go to other platforms to get a policy, leading to missed coverage and fines. Instead, Central sets it up and ensures payment automatically.\n5. **Government mail monitoring**: Founders often miss important government mail due to address changes. To combat this, Central adds a virtual mailing address to all of your state filings. This virtual address stays the same when you move, so Central can notify you about government mail and take the appropriate action.\n\n**Business compliance & insurance**\n\n1. **Foreign qualifications & city registrations:** Central handles the necessary business filings & the registered agent in your HQ city/state and other states when required.\n2. **Continuous BOI reporting to FinCEN:** The Corporate Transparency Act requires companies to submit beneficial ownership information (BOI) reports to FinCEN. Central files this for you and keeps it updated as officers and their information change.\n3. **Business insurance:** Central can set up insurance for general liability, directors and officers, cyber, errors and omissions, and more.\n\n**Benefits**\n\n1. **Medical, dental & vision insurance:** Central offers plans from top carriers for small groups and individuals. We automate setup and payments, making it easy for you. Pranav (co-founder at Central) is a licensed broker and expert and can guide you to avoid common mistakes.\n2. **Life insurance:** Integrated with payroll for pre-tax deductions.\n3. **401k:** Central partners with Guideline to provide easy payroll integration and pre-tax deductions.\n\nAnd, support via a shared Slack channel, phone & email.\n\n# ——\n\n## **🏎️ GET STUFF DONE INSTANTLY VIA SLACK**\n\nExisting platforms are a maze. You need to dig through 7 layers of UI with a shovel to get anything done.\n\nWith Central, you simply ask our bot, and it handles it for you (with your confirmation).\n\nIt’s like your company’s first head of HR/finance.\n\nOur customers love the ease of:\n\n* **Retrieving company info & docs:** Get company EIN, certificate of incorporation, W-9, etc.\n* **Updating employee info:** Adjust salaries, start dates, titles, etc.\n* **Accessing personal docs:** Find offer letters, paystubs, health insurance cards, W-2s etc.\n* **Tracking offers & payroll:** See when employees sign, onboard, and get paid.\n* **Understanding their paystubs:** Break down taxes, pay dates, and more.\n\n# ——\n\n# **🎁 START FOR FREE -** [www.centralhq.com](https://www.centralhq.com/?utm_source=launchyc)\n\n_10 mins to setup + we’ll do all the migration work_\n\n\n\n",
"url": "https://www.ycombinator.com/launches/LID-central-payroll-benefits-for-startups-save-weeks-of-work-fines",
"votes": 135,
"created_at": "2024-07-01T19:57:33.995Z"
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"founder_bio": "Oscar has built large-scale payments and credit data analytics models that outperformed incumbents like Experian by a significant margin. These models helped power the first startup he co-founded and scaled to a multi-million $ run rate. Before tech, Oscar was a post-doc researcher and completed an MEng and PhD in Machine Learning and Computational Physics at Cambridge. He’s worked in research divisions for companies like McLaren F1 and Dyson, applying machine learning to complex data problems. ",
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"id": 83233,
"title": "Fuse - Underpayment detection for healthcare providers",
"tagline": "AI-powered contract and remittance analytics to detect insurance underpayments.",
"body": "**TL;DR:** [Fuse](https://fuseinsight.com/) offers AI-powered analysis of healthcare contracts and payments to help providers detect underpayments and collect the revenue they’re owed from insurers.\n\n# **❌ Problem**\n\nOur “aha” moment came when healthcare provider execs repeatedly told us they had no idea if their revenue was accurate. One even described their insurance claims process as a “black hole”. \n\nSeveral factors contribute to this issue: \n\n1. Growing usage of AI. Insurers are using sophisticated models to analyze claims and find ways to subtly underpay.\n2. Too many contracts: An average hospital has over 50 contracts with insurers with varying reimbursement rates for the same procedure, making payment accuracy verification costly and near impossible.\n3. M&A wave: Mergers are forcing providers to consolidate contracts and revenue tracking systems, adding further complexity.\n\nAs a result, providers spend months analyzing revenue and chasing payments, forfeiting up to 11% of topline revenue if they cannot afford the overhead to do so.\n\nWith provider operating margins already negative since COVID-19, the situation creates severe margin compression and cash flow risk.\n\n# **Solution**\n\nWe use LLMs to extract data from the stacks of contracts that dictate provider payment terms from insurers. We reconcile the data against remittances to identify underpayments and auto-generate appeals.\n\n\n\nOur mission is to level the playing field for providers with AI-powered contract analytics. Beyond this, we want to aid the transition towards Value-Based Care by powering sophisticated contract modeling as payment models become even more complex.\n\n# **Team**\n\nOur team specializes in complex financial data analytics. We previously co-founded a business that grew from $0 to $6M ARR in 12 months, developing large-scale data models for payment and credit analytics that outperformed major players like Experian.\n\n\n\n[Oscar](https://www.linkedin.com/in/oscar-wilsby-71020931/) (CTO) was an academic who completed a PhD and postdoc in Machine Learning at Cambridge. He’s worked in research divisions for companies like McLaren F1, and brings expertise in building top performing data models in highly regulated industries. \n\n[Sho](https://www.linkedin.com/in/shoalexander/) (CEO) met Oscar during their first week of undergrad at Cambridge. He’s a repeat entrepreneur and closed a $100k contract within a year for his first company, and has worked on data analytics projects for some of the largest providers and insurers in the world at McKinsey.\n\n# **🙏 Our Ask**\n\n**If you know senior finance execs in healthcare systems or partners at healthcare PE firms please do connect us!** [**founders@fuseinsight.com**](https://mailto:founders@fuseinsight.com)",
"url": "https://www.ycombinator.com/launches/LeT-fuse-underpayment-detection-for-healthcare-providers",
"votes": 63,
"created_at": "2024-08-20T18:16:08.639Z"
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"id": 29387,
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"full_name": "Kelly Lu",
"title": "Founder/CPO",
"founder_bio": "I'm Kelly! I care about empathetic code and design. Previously, CS at MIT, infrastructure at Discord, computer graphics at MIT CSAIL, computational design at the MIT Media Lab.",
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{
"id": 82664,
"title": "🥚Overeasy – Go from idea to CV model 100x faster",
"tagline": "Overeasy lets you build task specific CV models from unstructured image data.",
"body": "**TLDR:** Today, we’re launching IRIS, an AI agent that automatically labels your visual data with prompting, so you can develop computer vision models faster.\n\n\n\n# **Problem: Labeling data is slow and expensive**\n\n**1. Modern datasets are exploding in scale 📈**\n\nPrevious large datasets like COCO had 3M+ annotations across 300k+ images. Now, models train on datasets like FLD-5B with over 5B+ annotations across 126M+ images — a 1000x increase in scale!\n\n**2. Synthetic Annotations are the only way to keep up 🤖**\n\nSynthetic annotation pipelines can 100x your annotation speed while maintaining label quality. Frontier models like LLama 3.1 and SAM2 have shown that strong synthetic data pipelines are necessary for state-of-the-art performance.\n\n# **Solution: Introducing IRIS, your AI Agent for Computer Vision**\n\nTransform your workflow with IRIS:\n\n* **Auto-annotate** millions of images instantly: IRIS automatically selects the best zero-shot models for your use case.\n* **Iterate** on annotations with prompts and visual hints: Tell IRIS what it got wrong, and it can go back and fix its mistakes!\n* **Train and deploy** CV models with a single click.\n\n# **Benchmarks**\n\nWe’ve been pushing the boundaries of zero-shot object detection models. IRIS’ zero-shot object detection achieves state-of-the-art performance on COCO and LVIS.\n\n\n\nWe’re excited to see how much IRIS will improve in the coming months!\n\n# **About Us**\n\n👋 Hey, it’s Ani and Kelly! \n\n\n\nWe met while running HackMIT three years ago, one of the largest undergraduate hackathons. Since then, we’ve both done computer vision research, and spend a lot of time thinking about dataset curation and labeling.\n\n[Ani](https://linkedin.com/in/anirudh-rahul-34a2bb195): Has worked on high performance trading systems at Jane Street and Five Rings, and has done computer vision research at MIT. \n\n[Kelly](https://linkedin.com/in/kellylu1%F0%9F%8C%B1): Has worked on revenue infrastructure and checkout flow optimization at Discord, and has conducted computer vision and computational design research at MIT.\n\n# **Ask**\n\nIf you think you could benefit from speedier labeling and training, we would love to [talk](https://docs.google.com/forms/d/e/1FAIpQLSdnthcpcuWOQUf0kbcaPwk17E-WVUv3sXiBsF3Yv-3XfcMA6A/viewform) (or, chat with us live on [overeasy.sh](http://overeasy.sh) 👀).",
"url": "https://www.ycombinator.com/launches/LVI-overeasy-go-from-idea-to-cv-model-100x-faster",
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"title": "🧬🦠 ACX – Next-generation biocides for sustainable agriculture at scale",
"tagline": "ACX is developing a new standard for precision agriculture technologies by providing sustainable, eco-friendly alternatives to chemical pesticides.",
"body": "Hi everyone,\n\nWe are [**ACX**](https://www.linkedin.com/company/acxtherapeutics/)! We’re two PhD’s in Biochemistry/Biophysics and Computer Science from the University of Cambridge and King’s College London developing a new type of therapy with applications in animal farming and agriculture. We have discovered a new molecular weapon to first provide more efficacious pest control measures.\n\n### **Team:**\n\n👩🏼🔬[**Emmanouela Petsolari**](https://www.linkedin.com/in/emmanouelapetsolari/) – Molecular Geneticist and Biochemist with 8 years of research experience in drug discovery and development (from leukemia, ovarian, and breast cancer as well as viral and bacterial infections).\n\n👩🏼🔬 [**Melina Petsolari**](https://www.linkedin.com/in/melina-petsolari-a03915298/) – Computer Scientist and Designer with extensive experience in HCI, AI, and healthcare developing hardware and software for applications in digital health, biotech, and privacy.\n\n\n\n# **❌ Problem:**\n\nThere is more disease impacting our livestock and crops than ever before - and this comes at a time when the human population is also exploding.\n\n1. Manure from livestock and extensive use of limited therapeutics for growth promotion and disease prevention in animal breeding as well as overuse of pesticides in crops\n\n ● One billion kilos of chemicals are used annually to combat crop pests\n2. Spread of pathogenic agents that have adapted in previously used medications\n3. Failure of commonly used pesticides and insecticides has been documented in nearly 1000 distinct pest species worldwide\n\n ● This leads each year to the world’s food supply facing an up to 30% loss due to insect pests alone, and this number is continuously increasing\n\n# ✅ **Our Solution:**\n\nExisting therapeutics are either no longer effective or have never worked to the extent necessary for achieving positive outcomes. We have discovered a common biological pathway that can be targeted across pathogenic species.\n\n### ✅ ✅ **Specifics:**\n\n1. We have _in vitro_ validation data of our therapeutic showing high inhibition and specificity in the cell line\n2. We are initially focusing on animal health and crop production due to the experimental validation of our therapeutic's effectiveness on a shared pathogen\n3. We are developing drug delivery systems that minimize toxicity and immunogenicity while providing precise spatiotemporal control for targeted drug release\n\n\n\nIllustration of our solution. Nanoparticles carrying the killer compound (orange) infiltrate the target cell like a Trojan horse and activate drug release upon targeting our newly discovered pathway.\n\n### 💡**Key facts about our solution:**\n\n➔ High killing efficacy\n\n➔ Designed to specifically target pathogenic cells while preserving the surrounding healthy cells and ensuring no toxicity or adverse side effects\n\n➔ Highly suitable to become a platform solution (i.e., therapeutic development pipeline expanded to multiple disease areas and organisms)\n\n➔ Scalable, stable, and easy to manufacture\n\n### \n\n# 👋**Our Asks:**\n\n* Share this post with your network and help spread the word!\n* If you’re as excited as we are about this novel approach, email us to learn more about it at [emmanouela@acxtherapeutics.com](mailto:emmanouela@acxtherapeutics.com)\n\n### ",
"url": "https://www.ycombinator.com/launches/LRs-acx-next-generation-biocides-for-sustainable-agriculture-at-scale",
"votes": 33,
"created_at": "2024-07-25T21:52:31.810Z"
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"all_locations": "San Francisco, CA, USA",
"long_description": "We are building the next generation of deep-learning models for enzyme design to slash the cost of chemical manufacturing. The $6 trillion chemical industry is flawed: It produces 20% of industrial greenhouse gases, and is responsible for 15% of global energy usage. \r\n\r\nEnzymes offer a far more sustainable alternative to chemical synthesis and have already revolutionised how a select few chemicals are produced. The problem is each enzyme takes years of trial and error to develop. Our enzyme models learn the principles of catalysis, allowing us to design enzymes for each reaction, in days not years. \r\n",
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"full_name": "Emily Egerton-Warburton",
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"full_name": "Arda Goreci",
"title": "Founder/CTO",
"founder_bio": "Founder at Ligo (S24). I studied Cell and Systems Biology at Oxford where I became a Google Cloud Research Innovator for my work in computational biology. Interested in deep learning, scaling laws, geometric DL, biomolecular design. ",
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"news": [
{
"title": "Show HN: An open-source implementation of AlphaFold3 | Hacker News",
"url": "https://news.ycombinator.com/item?id=41448439",
"date": "Sep 20, 2024"
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"launches": [
{
"id": 83137,
"title": "Ligo Biosciences - Generative enzyme design for the chemical industry",
"tagline": "Next generation deep-learning enzyme models for cheaper and sustainable chemical manufacturing. ",
"body": "**Tl;dr:**\n\n* [Ligo](https://www.ligo.bio/) is using deep learning to design **novel enzymes** to make **chemical manufacturing** cheaper and more sustainable.\n* The three founders met in a synbio lab at **Oxford University** where they decided to take on the **$6 trillion chemicals industry.**\n* Sign up for our [**waitlist**](https://foil-barometer-dc9.notion.site/Ligo-Biosciences-Technical-Waitlist-63a62e2b0f4a4b8dbaa31ce51b572d09?pvs=74) (Big news soon!)\n\n# **The Team:**\n\nHey - we are Ed, Emily, and Arda! We are building Ligo.\n\n\n\n👨🏻⚕️CEO, [**Ed**](https://linkedin.com/in/edward-harris-537837188) — Ed studied **CS at Princeton** before transferring to **Oxford Medical School,** where he worked across three top synthetic biology labs. Ed bootstrapped his first startup at 19 in the food markets of Guadalajara, Mexico, and took it to **$1M in annual revenue.**\n\n👩🔬CSO, [**Emily**](https://www.linkedin.com/in/emily-egerton-warburton-a70121211/) — Emily is a top **biochemist** from **Oxford University** who honed her wet lab skills in the intensive environment of biotech startups. Working on everything from bacterial **biofuel** production to **vaccine design**, Emily is **happiest with a pipette in hand**!\n\n👨💻CTO, [**Arda**](https://linkedin.com/in/arda-g-a26506118) — Arda studied **cell and systems biology** at **Oxford,** where he became a **Google Cloud Research Innovator** for his work in computational biology. Arda’s obsession with deep learning for biomolecular design began when the original AlphaFold paper was released.\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n## ❌ **The problem**:\n\n**(1) The $6 trillion chemicals industry is flawed:**\n\n* This industry produces **_20% of industrial greenhouse gases_** and is responsible for **_15% of global energy usage_.**\n* Traditional chemical manufacturing relies on hazardous materials and produces **_huge amounts of waste,_** resulting in **high costs.**\n* **You** unknowingly contribute to this problem by personally using **\\~160 of these chemicals daily.**\n\n**(2) Enzymes offer an amazing solution, but they are hard to develop**\n\n* Enzymes are biological catalysts. They accelerate reactions at mild temperatures and pressures, making chemical manufacturing **cheaper, faster, and more sustainable.**\n* **Major pharmaceutical companies** already use enzymes for manufacturing a limited number of drugs but developing them costs **tens of millions of dollars** and takes **multiple years.**\n* Current enzyme engineering approaches are **limited** because they must start from an enzyme that already exists.\n* No models currently understand the principles of catalysis, resulting in a narrow range of possible reactions that can be catalysed.\n\n## ✅ **Our Solution: Enzymes Designed From Scratch**\n\n* We are building **foundational enzyme design models** that learn from huge amounts of data to **understand the principles of catalysis.**\n* The model **generates structures capable of catalysing reactions** directly from transition state models, meaning we will **expand the number of reactions that can feasibly be accelerated** using enzymes.\n* These enzymes can catalyse reactions to **synthesise high-value chemicals** used in the pharmaceutical, agriculture, and consumer goods industries.\n\n[Our Diffusion Model](https://youtu.be/_V758AisYS8)\n\n# **Partnerships:**\n\nWe are happy to announce two key partnerships.\n\n* [**Basecamp Research**](https://www.basecamp-research.com) is on track to have **1000x more sequence diversity than public resources** - We are collaborating to use their data to improve our soon-to-be-released OpenSource model (sign up [here](https://foil-barometer-dc9.notion.site/Ligo-Biosciences-Technical-Waitlist-63a62e2b0f4a4b8dbaa31ce51b572d09?pvs=74)!).\n* [**Adaptyv Bio**](https://www.adaptyvbio.com) is building a next-generation protein foundry. Their engineers, Liza and Igor, are helping to build the **data pipeline for OpenSource model** using their state-of-the-art **bioinformatics tool, ProteinFlow.**\n\n# **We’d Love Your Help**❤️\n\n* Sign up for our [waitlist](https://foil-barometer-dc9.notion.site/Ligo-Biosciences-Technical-Waitlist-63a62e2b0f4a4b8dbaa31ce51b572d09?pvs=74) (Big news soon!)\n* We’d love intros to:\n * Small chemical companies in pharmaceuticals, fragrances, food&drink, detergents\n * Big Pharma and Agricultural chemical companies\n * **Any** **other biotech** companies! Email us [ed@ligo.bio](mailto:ed@ligo.bio)",
"url": "https://www.ycombinator.com/launches/Lcv-ligo-biosciences-generative-enzyme-design-for-the-chemical-industry",
"votes": 470,
"created_at": "2024-08-16T21:11:49.384Z"
}
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"name": "Spur",
"slug": "spur",
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"website": "https://www.spurtest.com/",
"all_locations": "New York City, NY, USA",
"long_description": "Every company is about to run two systems: one that generates software and one that validates it. Spur is the second one.\r\nSpur runs specialized agents against the real product the way a customer would use it: functional, visual, content, native iOS and Android on real devices, and accessibility and compliance.",
"one_liner": "Spur is the validation infrastructure enterprises use to ship at the…",
"team_size": 15,
"industry": "B2B",
"subindustry": "B2B -> Engineering, Product and Design",
"launched_at": 1724126992,
"tags": [
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"B2B",
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],
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"batch": "Summer 2024",
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"industries": [
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"stage": "Early",
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"question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
"answer": "Anushka and I met our freshman year at Yale. We did research at the Yale NLP Lab on web agents. Sneha previously worked on growth at Figma, and Anushka on codegen at DeepMind. We’ve hacked on our fair share of projects before — and have very much felt the pain of neglecting testing."
}
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"api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/spur.json",
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"city": "New York City",
"country": "US",
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"name": "Jared Friedman",
"url": "https://www.ycombinator.com/people/jared-friedman"
},
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"full_name": "Sneha Sivakumar",
"title": "Founder/CEO",
"founder_bio": "Co-founder and CEO at Spur. Previously, Growth Engineer at Figma and Snap. ",
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"full_name": "Anushka Nijhawan",
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"title": "Founding Engineer / Full Stack",
"url": "https://www.ycombinator.com/companies/spur/jobs/nmQ6lJD-founding-engineer-full-stack",
"location": "New York, NY, US",
"type": "Full-time",
"role": "Engineering",
"role_type": "Full stack",
"salary_range": "$130K - $225K",
"equity_range": "0.20% - 2.00%",
"experience": "Any (new grads ok)",
"visa": "US citizen/visa only",
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"title": "Founding Designer",
"url": "https://www.ycombinator.com/companies/spur/jobs/GoFbA9F-founding-designer",
"location": "New York, NY, US",
"type": "Full-time",
"role": "Design",
"role_type": "Product design",
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},
{
"id": 82112,
"title": "Founding Engineer Infra/Backend - Spur",
"url": "https://www.ycombinator.com/companies/spur/jobs/cQGJFb3-founding-engineer-infra-backend-spur",
"location": "New York, NY, US",
"type": "Full-time",
"role": "Engineering",
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"experience": "6+ years",
"visa": "US citizen/visa only",
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],
"news": [
{
"title": "YC Alumni Spur Just Raised $4.5M for Their AI Agent Qa Startup - Business Insider",
"url": "https://www.businessinsider.com/yale-alumni-spur-funding-ai-agent-startup-2025-4?type=social",
"date": "Apr 17, 2025"
},
{
"title": "Y Combinator | Yale grads Sneha and Anushka begins tech startup",
"url": "https://www.globalindian.com/youth/story/global-indian-exclusive/from-classroom-to-startup-yale-grads-sneha-and-anushka-turn-class-project-into-a-tech-startup/",
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},
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"title": "With launch of tech company Spur, recent grads discuss the hectic, exciting startup life | Yale School of Engineering & Applied Science",
"url": "https://seas.yale.edu/news-events/news/launch-tech-company-spur-recent-grads-discuss-hectic-exciting-startup-life",
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"id": 116412,
"title": "Spur - testing infrastructure for your mobile apps",
"tagline": "test and validate your mobile apps in plain english.",
"body": "hey everyone 👋 we're Sneha and Anushka, co-founders of [Spur](https://www.spurtest.com/).\n\n### **TL;DR** Spur is building the validation infrastructure for software teams. We started with web testing, and today we're launching native app testing across iOS and Android.\n\nSpur is building the validation infrastructure for software teams. We started with web testing, and today we're launching native app testing across iOS and Android.\n\nSpur's agents test your apps the way real users do. You define the behavior you want to test in natural language, and Spur figures out how to execute and validate it across iOS and Android, native interactions, and web views.\n\nTeams at HelloFresh, Nextdoor, DocuSign, Bilt, Alo Yoga, and Abercrombie are already using Spur for testing across their digital experience – on websites and on their apps.\n\n**Our Ask:** If you’re building and maintaining a mobile app, we'd love to help you test it.\\\nBook a demo:[ https://spurtest.com/book-a-demo](https://spurtest.com/book-a-demo)\n\n## **The problem**\n\nSoftware is getting generated faster than ever: features that used to take days to build are now generated in minutes. But - once the feature exists, someone still has to figure out whether it actually works.\n\nThat validation process hasn't sped up at the same rate.\n\nIf you’re shipping mobile apps, this gets even harder. The same product flow often turns into separate automation for ios and android. Teams maintain the tests, the device infrastructure they run on, and the CI setup around them.\n\nAnd as your product changes, your automation has to change with it.\n\n## **The solution**\n\n1. **Natural Language allows you to define the “intent” of a test:**\n\n Most test automation describes exactly _how_ to use an application.\n\n _Find this element. Tap it. Wait for another element. Enter text. Assert a value._\n\n That makes the test tightly coupled to the implementation. Spur tests describe what the user should be able _to do_ instead.\n\n _Add an item to cart, apply a promo code, and complete checkout with Apple Pay._\n\n The test captures the intent of the flow. Spur figures out how to execute it against the application in front of it. This means the same test can keep working across platforms or ui changes, because the thing you’re testing - the user behavior - hasn’t changed.\n2. **Spur runs the infrastructure too**\n\n You upload the builds and choose what you want to validate. Spur handles the environment those tests execute in and runs them on our infrastructure. That means mobile testing becomes much closer to:\n\n _build → upload → validate_\n\n instead of becoming its own infrastructure project.\n\n Tests can run as part of a release, against a pull request, on a schedule, or whenever an engineer wants to validate a change.\n\n \n\n3. **Built for engineers and agents**\n\n As more software is written by coding agents, we think validation also needs to become something agents can use directly.\n\n MCP is a first-class interface to Spur. A coding agent can make a change, ask Spur to validate the relevant user flows, inspect the result, fix what failed, and run the validation again.\n\n So the loop starts to look like:\n\n _generate → validate → fix → validate → ship_\n\n Humans can define the intent, using anything as context (tickets, figma files, PRDs, your codebase). Agents can continuously check whether the software still satisfies it.\n\n \n\n\n## **Why we built this**\n\nWe've spent the last few years building testing infrastructure for large software teams.\n\nOne thing has become increasingly clear: writing software is becoming dramatically easier, while proving that software works is still slow and expensive.\n\nWe think the gap between software generation and our ability to validate it is only going to widen.\n\nThe future of testing isn't maintaining more and more scripts. Validation needs to become more intelligent, adaptive, and be able to keep up with the rate at which software is changing.\n\nThat's what we're building at Spur.\n\nIf you're building or maintaining a mobile app, we'd love to work with you: .",
"url": "https://www.ycombinator.com/launches/UHc-spur-testing-infrastructure-for-your-mobile-apps",
"votes": 20,
"created_at": "2026-09-23T15:09:11.428Z"
},
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"id": 83237,
"title": "✨ Spur - Your AI QA Engineer",
"tagline": "Spur lets you test your website with natural language.",
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"body": "---\n\n**TLDR:** **We build fast and experimentally accurate generative AI-based simulations of molecular interactions for pharma and biotech companies.** These simulations can tell us whether a drug is going to bind to a protein or how quickly a drug will act once it is consumed by a patient.\n\n---\n\n# Our Team\n\n\n\nWe are a team from the University of Cambridge with 30+ years of combined experience in AI and Molecular Modelling, including:\n\n* [Javier](https://scholar.google.com/citations?user=_b-Cs2cAAAAJ), who scaled probabilistic AI methods 1000x during his PhD, turned down a research scientist position in Big Tech to start Angstrom AI.\n* [Laurence](https://scholar.google.com/citations?user=vMd1gwMAAAAJ), who developed FAB, a method for training AIs from physical equations without training data, during his PhD and was a researcher at InstaDeep before its acquisition by BioNTech in 2023.\n* [Miguel](https://scholar.google.com/citations?user=BEBccCQAAAAJ), Javier and Laurence's PhD supervisor, author of foundational research on AI for drug discovery and generative modeling.\n* [Gabor](https://scholar.google.com/citations?user=q39javYAAAAJ), who developed MACE, a state of the art quantum mechanically accurate force field.\n\nMiguel and Gabor's work has been cited over 40k times.\n\n# The Problem\n\nDuring drug discovery and development, pharmaceutical companies need to understand how drug molecules interact with other molecules in the human body to determine the drugs’ efficacy and safety.\n\nConventional methods to assess molecular interactions are unsatisfactory:\n\n* Wet lab experiments are accurate but slow and expensive.\n* Machine learning prediction methods, like AlphaFold, are fast but inaccurate. They are limited by the quality and quantity of training data, which must be generated by lab experiments.\n* Molecular Dynamics simulates interactions by rolling out the equations of physics, offering a balance between wet lab and machine learning predictions in accuracy and speed. These factors depend on the model of physics used. More accurate models are more expensive to run. This makes the method compute bottlenecked rather than data bottlenecked.\n\nHere is a video of a simulation of 64 water molecules. \n\n# Solution: Fast and Accurate Molecular Simulations\n\nWe run molecular simulations, keeping us in the compute constrained regime, but we combine **1) quantum mechanically accurate models of physics 2) generative AI that allows us to run these models quickly.** \n\n1. We use the MACE (multi-atomic cluster expansion) physics model, which accurately reproduces quantum-mechanical interactions. It was developed by Gabor, our co-founder. In collaboration with our academic partners, we recently showed MACE simulations are the **first ever to provide accuracy comparable to lab experiments** when estimating the hydration-free energies (a quantity relevant to drug bioavailability). Below is a plot from the [resulting publication](https://arxiv.org/abs/2405.18171). However, MACE is computationally expensive, each of the results from the below plot required 1 week of compute on 8 A100 GPUs.\n\n \n\n2. We use diffusion models to accelerate MACE simulations, making them computationally affordable. Our models generate states **consistent with physics, but the transitions between states are non-physical and significantly faster.** Here is a video of our AI simulating the same water box as above.\n\n\n\n# Demos!\n\nHere are a couple of examples to show off the type of stuff you can do with our generative models.\n\n### Speeding up Supercool Water\n\nSupercool water—liquid water below freezing, here at -40°C—is notoriously difficult to simulate with traditional methods because cold molecules move slower. The plot below shows the correlation between water molecule orientations across simulation steps. **Our AI introduces about 10,000 times more information per step compared to traditional simulations.**\n\n\n\n### Hydrating Methane\n\nModeling interactions between molecules and water allows us to calculate how quickly the molecules will dissolve and their bioavailability as drugs. Here are videos of a traditional simulation of a methane molecule interacting with water and our AI simulation. **Our AI prioritizes the movement of the methane molecule and its surrounding water, which are the parts that matter for solubility and bioavailability calculations.**\n\n \n\n\n\nThese are the first ever **genAI accelerated, physically accurate molecular dynamics simulations** incorporating the interaction of many molecules. We are scaling up - so stay tuned!\n\n# Our Ask\n\nReach out to [info@angstrom-ai.com](mailto:info@angstrom-ai.com) if\n\n* You are in pharma or biotech and interested in learning about the theory of diffusion models and quantum-mechanically accurate models of atomic interactions. We would be happy to give a talk on our research or have a more informal chat over Zoom. \n* You have friends who work in pharma or biotech and are interested in computational methods. We would love to meet them!",
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"full_name": "Chetan Parthiban",
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"title": "Ultra raises $62 million for fast-growing ‘robots as a service’ business, announces tie-up with AI research firm Physical Intelligence | Fortune",
"url": "https://fortune.com/2026/10/09/ultra-raises-62-million-fast-growing-robots-service-tie-up-ai-research-firm-physical-intelligence/",
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{
"id": 83218,
"title": "🇺🇸🤖 Ultra - Building the next million robots to automate American warehouses",
"tagline": "Warehouses are filled with dull, repetitive tasks still done by people. Ultra makes robots to change that.",
"body": "**_TL;DR_**: Ultra robots automate e-commerce order packaging and returns in fulfillment centers. Traditional automation isn't working for warehouses because it's costly, rigid, and often underutilized. Our robots are different: they’re easy to deploy, resilient to changing environments, and powered by AI that’s trained with examples.\n\n\n\nHi everyone - we’re [Oliver](https://www.linkedin.com/in/oliverortlieb/), [Chetan,](https://www.linkedin.com/in/chetan-parthiban/) [Jon](https://www.linkedin.com/in/jmschwartz11/), and [Max](https://www.linkedin.com/in/mfriefeld/). After years of building and scaling manufacturing and robotics companies (_Layer By Layer, S13, and Voodoo Manufacturing, W17_), we’re now focused on bringing automation to the industries that need it most.\n\n\n\nWe believe we’re at a moment in history when robots can be made accessible and capable enough for mass adoption - and we need it more than ever.\n\n**Labor is harder to come by than it’s been in decades**.\n\nImagine running a warehouse: you hire 20 temp workers to come in one day, but only 15 show up in the morning, and just 5 return after lunch. That’s the reality one of our partners told us they face.\n\nIn 2018, the U.S. entered its first labor shortage in over 60 years. Today, we are short over 1.3 million workers, causing companies to go understaffed or rely on high-churn temp labor.\n\nAnd yet, **traditional warehouse automation isn’t being adopted fast enough**.\n\n\n\n# **🤖 Ultrabots**\n\nUltra is building robots that can be dropped in at existing workstations and quickly trained to do repetitive tasks. They are more cost-effective than human labor and can operate around the clock, giving your team [✨](https://emojipedia.org/sparkles)superpowers[✨.](https://emojipedia.org/sparkles)\n\nWe use reliable off-the-shelf hardware so we can focus on rapid deployment. The key to unlocking the next million robots is data scale, and the fastest way to get there is to put robots in real-world environments doing useful tasks.\n\n# **⏰ Why Now?**\n\nRecent AI breakthroughs mean we can control robots with neural nets trained with examples, rather than with explicitly programmed routines.\n\n\n\n_Above is an example of a fully autonomous picking policy we trained on \\~2hrs of data from teleoperating our research arms. The two RGB camera feeds are the input to the model, which outputs the joint+gripper positions at 10Hz._\n\n\n\n_Examples of emergent behavior learned from the training data, but not explicitly programmed like what would be required in traditional automation._\n\n# **🙏 Asks**\n\nWe’d love to connect to e-commerce 3PLs and large brands that handle their own fulfillment. You can reach us at [founders@ultra.tech](mailto:founders@ultra.tech). Thanks!",
"url": "https://www.ycombinator.com/launches/LeE-ultra-building-the-next-million-robots-to-automate-american-warehouses",
"votes": 66,
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{
"id": 66553,
"title": "YC Deals - Access to software deals for employees at YC companies",
"tagline": "Employees at YC companies have access to more than 100 discounts and exclusive offers on industry leading tools.",
"body": "Hello, [Oliver](https://www.linkedin.com/in/oliverortlieb/) and [Zach](https://www.linkedin.com/in/zach-kamran/) here, software engineers at Y Combinator. We are thrilled to announce YC Deals. \n\nEmployees at YC companies can now leverage one of the major benefits previously only available to YC founders – [YC Deals](https://deals.ycombinator.com/). Through YC Deals, employees have access to more than 100 discounts and exclusive offers on industry leading tools. There are already $500,000 worth of free credits and discounts available, and new deals are constantly being added.\n\n**❌ The Problem**\n\nWe built YC Deals for our companies with a growing team. The founders still want to take advantage of the wide variety of discounts and free credits that YC companies receive, but their employees don’t have access to Bookface (our internal platform for YC founders), where these exclusive deals are listed. \n\n**✨ Our Solution**\n\nNow any employee of a YC company can redeem these deals and help their company save money. Building something new? There are dozens of dev tools like PostHog, Fivetran, and OneSignal. First HR or ops hire? Get Deel and Stable up and running at a discount. In charge of security? Check out Vanta. Also find deals on startup staples, like Gusto, GitHub, Algolia, and Amplitude. Help build and grow your company using world-class tools on a startup budget. \n\n\n\n**👉 Next steps**\n\nEmployees at YC companies can access YC Deals by completing a simple email verification flow using their company email address [here](https://deals.ycombinator.com/).\n\nIf you’d like to offer a deal to the YC community and their employees, you can submit one [here](https://bookface.ycombinator.com/deals/new). \n\nAny additional questions about YC Deals? Visit our FAQs [here](https://deals.ycombinator.com/faq).",
"url": "https://www.ycombinator.com/launches/HJR-yc-deals-access-to-software-deals-for-employees-at-yc-companies",
"votes": 20,
"created_at": "2022-10-06T16:03:12.293Z"
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"title": "ClawGTM - OpenClaw for Sales",
"tagline": "Autonomous agents that research and sell your product 24/7.",
"body": "**TL;DR:** ClawGTM turns your website URL into an autonomous sales force. Our OpenClaw agents identify your best-fit leads, perform deep contextual research, and start conversations on Email and LinkedIn, all in under 60 seconds.\n\n### **The Problem**\n\nMost founders and sales teams are stuck in a manual loop. You spend hours hunting for leads and stalking LinkedIn profiles, only to send \"personalized\" emails that still feel like templates.\n\nExisting \"AI SDRs\" have made this worse. They've flooded inboxes with generic, robotic spam that prospects have learned to ignore. If your outreach doesn't have **real reasoning** behind it, it’s going straight to the bin.\n\n### **Meet ClawGTM: Your Autonomous GTM Engine**\n\nClawGTM doesn't just \"automate\" emails; it **deploys intelligence**. Built on the viral OpenClaw framework, our agents perform the heavy lifting of a full sales team:\n\n* **Website as a Prompt:** Paste your URL. The agent reads your site to understand your core value prop and target audience.\n* **Hyper-Detailed ICP Filtering:** The agent performs deep, multi-layered filtering to find prospects in specific niches that traditional tools miss.\n* **Job-Based Intelligence:** The agent monitors **hiring patterns** and **leadership changes** to infer what a company is dealing with. If they are hiring for \"Postgres DBA\" or \"Compliance Officer,\" the agent identifies the specific tools they use and the internal hurdles they are currently facing.\n* **Multi-Channel Execution:** Once the niche is identified, it coordinates across Email and LinkedIn with 1-of-1 messaging that reflects your product's specific value.\n\n### **Start Today**\n\nReady to stop \"doing\" sales and start deploying agents?\n\n* **Try it now:** \n* **Email us:** rithwik@hireroger.com\n* **Text us:** +1 (469) 328-3769\n\n**You build the product. We’ll find the people who need it.**\n\n\n\n",
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"title": "Roger: The AI Sales Rep That Books You Meetings While You Sleep",
"tagline": "Let Roger handle your outbound. It finds leads, personalizes messages, and fills your calendar automatically.",
"body": "Tired of outbound tools that just _send emails_? Roger goes way further.\n\nRoger is your AI sales rep: it finds leads, understands what they care about, and messages them across email + LinkedIn to book meetings. Fully automated, deeply personalized.\n\n\n\n⚡ \\*\\*Set it up once. Then forget it.\\*\\*\\\nFounders call Roger their “money printer” because it runs in the background, filling their calendar while they work on product.\n\n🔍 **How it works:**\n\n**1. Finds leads**\\\nRoger deploys agent swarms across 300M profiles, live job listings, and even custom scrapers to turn raw data into targeted prospects.\n\n**2. Understands context**\\\nIt reads company descriptions, roles, and products to deeply understand what each lead actually needs.\n\n**3. Reaches out smartly**\\\nThen Roger crafts personalized messages across email and LinkedIn: like a top-performing SDR, but automated.\n\n**4. Books meetings**\\\nQualified leads get booked straight into your calendar. No chasing. No manual work.\n\n🏆 YC founders, agency owners, and SaaS startups are using Roger to turn cold outreach into warm intros, without lifting a finger.\n\n👉 Try it here: https://hireroger.com/ycl\n\n[https://www.youtube.com/watch?v=oP35TBbndfA](https://hireroger.com%EF%BF%BC%F0%9F%93%A9\\)https://www.youtube.com/watch?v=oP35TBbndfA)",
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"body": "### **TL;DR**\n\n[CardLift](https://withcardlift.com) builds co-branded browser extensions to help credit card issuers maximize their share of wallet (and, in turn, per-user revenue).\n\n### How It Works\n\nWe build your credit card program a co-branded browser extension. When a user signs up for your card, you can incentivize them to add your extension to their browser. Your users are now 2 - 4x more valuable.\n\n**Migrate Existing Spend**\n\n\n\nWhen your credit card program onboards a new user, we make it dead simple for them to switch their card-on-file at all of their top online merchants to your card with one click.\n\nOur AI-powered browser extension not only automatically detects where your users spend the most (Netflix, Amazon, T-mobile, Progressive), but also lets them switch out their primary payment method to your card with one click. Users press a button in their browser, and their card-on-file everywhere instantly switches to their shiny new card (your card!).\n\nOffer your users an incentive to make this switch, and watch your per-user GMV transaction volume skyrocket even more.\n\n**Ensure You Continue To Capture Future Spend**\n\nWe don’t just help when a user signs up to your card program. Our fast checkout technology embeds “One Tap Checkout ” on the checkout page at over 50,000 e-commerce sites - making your card the easiest way for users to complete any transaction on their browser.\n\n\n\nYou can even customize the copy to tell the user why to use your card for that specific purchase. For example, if you were Chase, you could prompt your users to use their Sapphire Preferred card on Avis BECAUSE it offers car rental insurance.\n\n**Make Your Card Program More Rewarding**\n\nFor the final cherry on top, we partner with over 1,000 of the country’s top merchants to offer additional affiliate-based cash back that you can add to your existing cashback. Your users can now earn double or even triple the cash back on Sephora when they use your “One Tap Checkout” button instead of their other cards.\n\n**Full Demo** - [**https://cardvaultco.com/demo**](https://cardvaultco.com/demo)\n\n### About Us\n\nCardLift is founded by Rithwik Pattikonda - serial browser extension entrepreneur who has built some of the world’s largest browser extensions - OctoShop (acquired by NYSE:IBTA) and TravelArrow (300,000+ users). At CardLift, his goal is to bring some of the learnings and insights from his previous consumer browser extensions to financial institutions.\n\n\n\n",
"url": "https://www.ycombinator.com/launches/LYr-cardlift-achieve-top-of-wallet-status-for-your-credit-card-program",
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"title": "Miru - Deployment infrastructure for Robotics and IoT 🦾",
"tagline": "Deploy software updates over the air to fleets of devices",
"body": "**tl;dr:** Miru helps robotics and IoT teams painlessly deploy software over the air, provision devices, and manage versioning for their fleets.\n\nFor engineers using Miru, _updating software on thousands of devices is as easy as pushing a change to GitHub._\n\n**Our Ask:** Engineers in robotics and IoT, [get started with Miru today!](https://www.miruml.com/)\n\n\n\n**❌ The Problem**\n\nRobotics and IoT companies don’t have robust, off-the-shelf DevOps tools.\n\nAs a result, to deploy their software, they’re forced to manually SSH/SCP into their devices or build a hacky solution internally.\n\n**But building this infrastructure is costly.** These companies often need to dedicate more than half of their software team to build and maintain their custom internal tools. This balloons engineering costs and decreases product velocity.\n\nIt’s one of the reasons **why many of these companies die.**\n\n**🦾 Miru**\n\nMiru helps engineers build and maintain their deployment pipelines, saving them months of work.\n\nWith Miru, you can:\n\n1. Push changes to GitHub, and let Miru handle building, staging, and deploying your software to your devices across the world\n2. Manage devices and track software versioning on a centralized dashboard\n3. Enjoy obsessive, fast, 24/7 customer support 🫡\n\n**Installation is easy.** If your device already uses Ubuntu, the Miru installation is just one command **🪄**\n\nMiru users have an unfair advantage. They enjoy reliable, scalable, and secure deployments _without all the pain of building it themselves_.\\\n\\\n\n\n🧍🏼🧍🏿🧍🏾 **About Us**\n\nHi 👋🏾 - we’re [Vedant](https://linkedin.com/in/vedantnair), [Armel](https://linkedin.com/in/armeltalla), and [Ben](https://linkedin.com/in/benjamin-smidt)!\n\n\n\nAfter meeting at our freshman dorm at UT Austin, we instantly clicked and became best friends. Whether we were playing intramural basketball or scaling our previous startup, [Clips AI](https://www.clipsai.com/), to 7000 MAUs in just three months, we've proven we make an exceptional team.\n\nOutside of Clips AI, Armel worked as a software engineer at Google and YouTube, focusing on building internal tools and infrastructure. Vedant brings experience in software GTM consulting from Bain & Co. and EY-Parthenon. Ben, our hardware fanatic, has a background in mechanical and electrical engineering, and he’s built production-ready AI and video processing infrastructure using Kubernetes.\n\nWe’re passionate about a future where robots can free humans from doing the dull, dirty, and dangerous tasks that dominate billions of people’s lives. We founded Miru to provide the infrastructure to accelerate this transition.\n\nWe’re obsessed with solving this problem. If you’re a software engineer in robotics or IoT who is struggling with deployment, we’d LOVE to make your life easier.\n\nJust reach out at \\[vedant\\] @ miruml \\[dot\\] com, or better yet, [start using Miru today](https://www.miruml.com/)",
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"full_name": "Paul Dietrich",
"title": "Founder/CPO",
"founder_bio": "Paul always wanted to work on his own projects. After building some small apps as side projects, he co-founded a software agency alongside his studies and scaled it to multiple 100k in total revenue. This helped him sharpen his skill set in full-stack development, design, and entrepreneurship. Now at Spherecast, he's responsible for building a product our customers love.",
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"full_name": "Pascal Schindler",
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"title": "Spherecast – Inventory copilot for multi-channel brands",
"tagline": "Always know when and how much to re-order",
"body": "[Spherecast](https://www.spherecast.ai/) is an inventory copilot supporting multi-channel brands with their inventory decisions.\n\n**❌ The problem**\n\nAs soon as brands go multi-channel, e.g. enter a marketplace or are placed at offline retailers, they face new complexities when it comes to planning demand.\n\nBesides that, scaling into multiple channels often entails adding new warehouse locations through the supply chain, be it by sourcing raw materials by yourself or adding FBA as an outbound fulfiller.\n\nThis is accompanied by rising logistics costs and inventory constraints (such as the low inventory level fee of Amazon or expiration date requirements for sales channels).\n\nThe combination of these aspects leaves supply chain managers with a sheer amount of different constraints to handle – often in very large spreadsheets. This leads to inventory distortion costs – the cost of stockouts and overstock – which is a $1.8 trillion USD problem for retailers worldwide.\n\n**✅ The solution**\n\nSpherecast combines demand planning, replenishment and inventory optimization in one platform. We connect to shop systems and ERPs automatically.\n\nWith the platform, brands can automatically get:\n\nA library of machine learning forecasts per product and channel to optimize forecast accuracy combined with a collaborative environment to plan with multiple stakeholders.\n\nReplenishment optimization, considering\n\n* Inbound orders and shipments to any warehouse\n* Outbound (future) send-ins (e.g. to another warehouse)\n* Linear constraints such as dynamic safety stock, target coverage and lead times\n* Non-linear constraints such as MOQ are integrated\n\nWith that, we believe inventory management should transform into inventory optimization for everyone.\n\n**🚀 Our mission**\n\nWe want to create a world where stockouts do not exist anymore. Imagine any product at the right place, at any time — enabled by Spherecast.\\\n\\\n**🙏 Our ask**\n\nIf you happen to know supply chain managers at multi-channel e-commerce brands – we’d love to chat!\n\n* Book a demo [**here**](https://cal.com/leon-hergert) or contact us via [**leon@spherecast.ai**](mailto:leon@spherecast.ai)\n* Tell your network about inventory optimization for e-commerce and share this post\n* Check out our website [**spherecast.ai**](https://www.spherecast.ai/)\n\n\n\n_From left to right: Felix Grote (Founding Business Developer), Pascal Schindler (Co-Founder & CTO), Paul Dietrich (Co-Founder & CPO), Leon Voland (Founding Engineer), Leon Hergert (Co-Founder & CEO)_",
"url": "https://www.ycombinator.com/launches/LTY-spherecast-inventory-copilot-for-multi-channel-brands",
"votes": 29,
"created_at": "2024-07-30T13:53:19.366Z"
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"full_name": "Roshan Kumaraswamy",
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"title": "Apten: omni-channel AI agents for B2C sales/marketing",
"tagline": "Convert more leads across text, call, email, and webchat.",
"body": "TLDR: Apten is an **omni-channel AI agent** that engages and nurtures leads across **text, call, and email, and webchat.**\n\nWebchat specifically has been around for ages - but when a lead starts a conversation on the website and leaves halfway through, **they’re** **gone.**\n\nApten is not only able to start a conversation through webchat, but **proactively reach out via SMS/voice/email once the lead goes inactive.**\n\nToday, Apten automates sales/marketing for hundreds of thousands of leads each month - we work with some of the largest enterprises in consumer services (industries including home services, healthcare, education, financial services, and insurance).\n\nhttps://www.youtube.com/watch?v=63At2HXNX4k\n\n# **The Problem**\n\nB2C services companies today **(insurance, home services, financial services, education, etc)** rely on a combination of call centers, dialers, email/sms marketing automation systems to convert new leads.\n\nThese systems fall short because:\n\n* Human teams are required to scale up dialing/call efforts (leads slip through the cracks)\n* SMS/email automations are typically one-way, static sequences without personalization\n\n# **Our Solution**\n\nApten automates sales and marketing for B2C enterprises with:\n\n* **Omni-channel capabilities**: set up a single conversational flow that works across SMS, voice, email, and webchat.\n * Apten maintains unified memory across SMS, voice, emai, and webchat (just like a human does) to **personalize conversations at scale**\n * Apten can also **switch between channels** at anytime to **meet a lead where they want to be met**\n * Move leads through different conversational flows depending on **where they are in the customer/lead journey**\n* **Intelligent follow-up:** Apten will not only personalize follow-ups based on what it knows about a lead or a past conversation, but it will also dynamically adjust **when to follow-up based on a lead’s repsonse**\n * Personalized AI voicemails can be left on dial attempts that go to an answering machine\n * Apten is able to use local presence dialing to auto-match the number it dials from to one that best matches the lead’s area code\n* **AI tools:** Apten can take actions with your systems (scheduling, dialers, quote APIs, etc)\n* **Human in the loop:** Handles transfers to your human team at any time (cold or warm). Apten can also dynamically transfer to specific numbers depending on\n* **Reliability:** setup custom guardrails that automatically detect non-compliant messages and proactively fix them before they’re sent to the lead\n\n# **Our Ask**\n\nIf you’re an enterprise that:\n\n* Falls in a consumer services industry (home services, financial services, insurance, education, healthcare, auto, law, etc)\n* Generates a high volume of leads (5k+ leads / mo)\n* Uses marketing automation (drip texts/emails, dialer sequences) + a sales team/call center to engage leads over the phone\n\nWe’d love to chat - you can find us at http://apten.ai.",
"url": "https://www.ycombinator.com/launches/Ogz-apten-omni-channel-ai-agents-for-b2c-sales-marketing",
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"created_at": "2025-10-27T15:16:24.244Z"
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{
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"title": "Apten: Omni-channel AI Agents for Sales and Marketing",
"tagline": "Engage and nurture leads across text, call, and email",
"body": "TLDR: Apten is an **omni-channel AI agent** that engages and nurtures leads across **text, call, and email.**\n\nToday, Apten automates sales and marketing conversations across hundreds of thousands of leads.\n\nIt responds at any time, automatically follows up with personalized messages, and **dynamically switches between channels** to meet leads where they want to be met.\n\nhttps://www.youtube.com/watch?v=3EX6BxpnAVQ\n\n# **The Problem**\n\nB2C services companies today **(insurance, home services, financial services, education, etc)** rely on a combination of call centers, dialers, email/sms marketing automation systems to convert new leads.\n\nThese systems fall short because:\n\n* Human teams are required to scale up sales operations\n* SMS/email automations are typically one-way, static sequences\n\n# **Our Solution**\n\nBuilt for enterprise, Apten comes with:\n\n* **Omni-channel capabilities**: set up a single conversational flow that works across SMS, voice, and email\n * Apten maintains unified memory across SMS, voice, and email (just like a human does) to personalize conversations at scale\n * It also processes existing data/context about leads from your CRM to nurture leads with relevant follow-ups\n* **AI tools:** Give Apten an API, and it will take actions with your systems (scheduling, dialers, quote APIs, etc)\n* **Human in the loop:** Handles transfers to your human team at any time (cold or warm)\n* **Reliability:** includes a native guardrail system that automatically detects non-compliant messages and proactively fixes them before they’re even sent out\n\n# **Our Ask**\n\nIf you’re a business that:\n\n* Generates a high volume of leads (2k+ leads / mo)\n* Uses marketing automation (drip texts/emails, dialer sequences)\n* Is scaling up a sales team\n\nWe’d love to chat with you - you can find us at http://apten.ai.",
"url": "https://www.ycombinator.com/launches/Nla-apten-omni-channel-ai-agents-for-sales-and-marketing",
"votes": 5,
"created_at": "2025-06-17T13:40:44.819Z"
},
{
"id": 87585,
"title": "Apten - AI SMS + voice agents to convert leads",
"tagline": "An AI agent that texts & calls in the same way as a human",
"body": "**TLDR:** We help B2C companies automate sales and marketing with custom AI SMS and voice agents. Apten handles inbound/outbound calls + texts 24/7, automatically follows up at the right time, and syncs with your knowledge base/systems.\n\nHey everyone - we’re Daniel and Roshan, the founders of Apten :)\n\nOver the last 8 months since launching, we’ve helped companies engage tens of thousands of new leads each month.\n\nToday, Apten becomes an AI agent that can both text and call in the exact same way a human does.\n\n\n\n# **The Problem**\n\nB2C services companies today **(insurance, home services, financial services, education, etc)** rely on a combination of call centers, dialers, and automated text systems to convert new leads.\n\nFollow-ups are not personalized or are manually done by humans, and leads do not get immediate responses 24/7.\n\n# **Our Solution**\n\nApten is an AI agent that:\n\n* Handles inbound/outbound texts + calls, 24/7\n* Can switch from SMS to voice (and vice versa) at any time in the conversation\n* Guides leads down customizable conversational flows\n* Takes actions with your systems (e.g. pull in quote premiums from an insurance company’s API)\n* Syncs with your knowledge base to pull in relevant info at any time\n\nWhite glove onboarding/support included for every customer!\n\n# **Our Ask**\n\nIf you’re a business that:\n\n* Generates a high volume of leads\n* Uses SMS or phone calls to engage/follow-up w/ leads\n* Wants to introduce AI into their sales and marketing process :)\n\nYou can find us at [http://apten.ai.](http://apten.ai)",
"url": "https://www.ycombinator.com/launches/Mmf-apten-ai-sms-voice-agents-to-convert-leads",
"votes": 6,
"created_at": "2025-02-11T18:52:47.642Z"
},
{
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"title": "Apten 💬📲 - AI SMS agents",
"tagline": "Apten helps businesses automate communication with customers and leads over SMS text",
"body": "**TLDR:** We help B2C businesses automate sales, marketing, and customer service through SMS text. Customize Apten, and it’ll **proactively reach out, respond at any time, and never forget to follow up.**\n\nHey everyone - we’re [Daniel](https://linkedin.com/in/danielho799) & [Roshan](https://linkedin.com/in/roshan-kumaraswamy), the founders of [Apten](https://www.apten.ai/)! 👋 \n\n\n\n# **The Problem**\n\nBusinesses currently rely on humans or traditional SMS automation (drip texting) to qualify and nurture leads. This applies to both inbound leads (e.g., ad -> website -> fills out contact/quote form and leaves phone number) and the re-engagement of existing leads in a CRM. \n\nExample industries where this happens: real estate, insurance, home services\n\n# **The Solution**\n\nAn AI SMS assistant that qualifies and nurtures leads in a **personable way** while responding 24/7 and automatically following up. \n\n[**https://www.youtube.com/watch?v=iuMYEZ4jYHE**](https://www.youtube.com/watch?v=iuMYEZ4jYHE)\n\nCustomize:\n\n* Apten’s knowledge (FAQs, info about your business, specific instructions/rules)\n* Specific conversation flows and follow-up schedules for **different types of leads**\n\nApten won’t just chat - it’ll **take actions** in a way a human would to help your business by proactively:\n\n* Categorizing/tagging leads based on the conversation\n* Creating notifications based on conditions you define\n* Determining the appropriate time to follow-up based on a lead's response\n\n \n\n\n\nWe’ll provide white-glove onboarding and support the whole way! \n\n# **Our Ask**\n\nIf you’re a business that:\n\n* Collects phone numbers from leads\n* Employs virtual assistants or a contact center\n* Leverages drip texting campaigns or other SMS automation\n\nWe’d love to [talk to you!](https://calendly.com/daniel-attent/20min)\n\nYou can also email us at [founders@apten.ai](mailto:founders@apten.ai)",
"url": "https://www.ycombinator.com/launches/L6a-apten-ai-sms-agents",
"votes": 24,
"created_at": "2024-05-28T14:21:44.061Z"
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"name": "Domu Technology Inc.",
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"team_size": 50,
"industry": "B2B",
"subindustry": "B2B -> Engineering, Product and Design",
"launched_at": 1719086771,
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"full_name": "Camila Zancanella",
"title": "Founder/CEO",
"founder_bio": "Co-founder @ Domu | The Future of Debt Collections\nCamila has 5 years of experience in multiple business areas, data analytics, and data science. She is responsible for building the models to analyze client data to personalize communication flows and decision-making processes. She previously worked at Rappi and Otter (a unit of Cloud Kitchens) and has contributed to research papers by running statistical models for business studies.",
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"full_name": "Nick Diaz",
"title": "Founder",
"founder_bio": "I’ve loved building things since I was twelve. I was a national table tennis player, and I started Domu to change how interactions work in financial services.\n\nI’ve closed more than forty deals with some of the world’s largest banks and insurance companies. But what I’m most proud of is our team; they push me every day at work, at the gym, and on our runs. I can confidently say we are one of the highest-performing teams in San Francisco.",
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"title": "Founding SDR or AE (Cash + Equity + Comission)",
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"title": "UI/UX Product Designer",
"url": "https://www.ycombinator.com/companies/domu-technology-inc/jobs/68zCbM3-ui-ux-product-designer",
"location": "San Francisco, CA, US",
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"title": "Software Engineer Brazil ",
"url": "https://www.ycombinator.com/companies/domu-technology-inc/jobs/VIjsS9t-software-engineer-brazil",
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"title": "Business Analyst Brazil",
"url": "https://www.ycombinator.com/companies/domu-technology-inc/jobs/Hb14wWs-business-analyst-brazil",
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"type": "Full-time",
"role": "Operations",
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"salary_range": "$40K - $60K",
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"url": "https://www.ycombinator.com/companies/domu-technology-inc/jobs/y4W1TPx-brazil-ae-cash-equity-comission",
"location": "São Paulo, SP, BR / São Paulo, São Paulo, BR",
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"title": "Domu - Building AI agents for collections",
"tagline": "We automate calls, text and emails for the largest financial institutions in the world",
"body": "[Domu](https://www.domu.ai/) uses generative AI to automate debt collection interactions for 8 of the 20 largest banks and insurance companies across the Americas. \n\nHi everyone, we are [Nico](https://www.linkedin.com/in/nicolasdiaz27/) and [Camila](https://linkedin.com/in/camilazancanella). We met 5 years ago while Cami was finishing her MBA at HEC Paris and Nico working at his previous AI company, after that, we participated in more than 10 hackathons together, and made 450 sales calls to understand the biggest problems in banking and communications, we realized collections was a real issue. So we decided to start Domu. \\\n\\\nAt Domu, we’ve built probably one of the biggest female teams in the current YC batch, and every day, we wake up with the conviction of helping our clients automate sales calls for collections and insurance sales.\n\n\n\n**🚨 The Problem: Nobody likes to collect debt and it’s too expensive**\n\nVery few people in the world like to make calls to charge people money. \\\n\\\nEnterprises struggle with all the back-office tasks to manage call centers or debt collection agencies due to the volume of clients. Manual processes lead to high operational costs and a lack of scalability.\n\nTake our client, a major insurance company, as an example. They manually contact more than 150,000 customers monthly, which is around 500,000 minutes spent on calls😱. This process also involves capturing data, pulling that data, and analyzing it, which usually results in suboptimal outcomes.\n\n**🫡 The Solution: Automated and personalized communications at scale** \\\n\\\nDomu automates customer interactions using GenAI, reducing the need for extensive operational teams. We automate calls and integrate with channels like SMS, WhatsApp, and emails, and give our customers real-time data to track metrics.\n\n💜 By using Domu, companies can:\n\n* Collect the same as humans in 3 months at 40% of the cost. \n* Improve debt collection and conversion rates.\n* Gain real-time insights about their clients to improve communication.\n\n**📈 Opportunity: The immense potential of our market**\n\nFor every large enterprise with thousands of clients, millions are spent on inefficient communication processes and sales agents. By automating these interactions, Domu can save companies substantial amounts and improve their customer relationships.\n\nIn the US alone, the potential savings in the debt collection sector are enormous, with trillions of dollars at stake. Domu's AI-powered solutions provide a significant opportunity for enterprises to enhance their communication efficiency and effectiveness..\n\n**Get in Touch:**\n\n* **Visit us at** [www.Domu.ai](https://www.domu.ai/)\n* **Emails us:** nick@domu.ai\n* **Chat with us over text:** (954) 445-3188",
"url": "https://www.ycombinator.com/launches/LH8-domu-building-ai-agents-for-collections",
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"created_at": "2024-06-27T23:42:48.328Z"
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"body": "# **📝 TL;DR:**\n\n* [Undermind](https://undermind.ai/1) is Google for scientific research. It finds exactly what you need, no matter how complex, using an AI agent.\n* **Try it for free -** [www.undermind.ai](https://undermind.ai/1)\n\n# **———**\n\n---\n\n---\n\n---\n\n---\n\n# **❌ The Problem:**\n\nFinding the right resources to solve problems is crucial for doing impactful research. However, researchers often need to find really complex information, and tools like PubMed and Google Scholar simply aren’t up to the task. They only work for simple, short keyword phrases, and it often takes hours to sift through the (mostly irrelevant) results.\n\n# **✨ Our Solution:**\n\nWe rebuilt search from the ground up to make it work really well for complex questions. Our AI agent mimics how a human researcher carefully discovers information. It spends a few minutes carefully looking through hundreds of papers for you and adapts based on what it finds to uncover everything. Ultimately **Undermind’s results are 10-50x better** than traditional keyword search engines.\n\n\n\n# **⚙️ How to use it**\n\nJust write down your complex research topic, describing exactly what you want, as if to a colleague. After 2-3 minutes, Undermind will give you the precisely relevant articles you need.\n\n\n\n# **Why we’re doing this**\n\nWe’re scientists ourselves, and we’ve spent a lot of time looking through scientific literature. We’ve personally experienced those “aha” moments - when you realize you could have saved 3 months of work if only you knew about that one paper earlier! So, our goal isn’t to save you a few minutes of searching yourself; it’s to make it easy to find the solutions that can drastically improve your overall research plan and trajectory.\n\n# **——**\n\n# **🙏 Asks**\n\n* Try Undermind now - [www.undermind.ai](https://undermind.ai/1)\n* **Share** this post with anyone you know who reads research - it’s helpful for anyone, from machine learning to biotech, medicine, and engineering!",
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"body": "Hi we’re Peter and Zach from Superunit.\n\n**TL;DR:** Background screeners and banks have used us to process over 70,000 employment verifications. Our platform handles handles phone calls, emails, faxes, and compliance end-to-end.\n\n**❌ Employment verifications are soul-crushing, but necessary**\n\nEvery time someone gets hired, applies for a mortgage, or needs a background check, someone has to verify they actually worked where they said they did.\n\nThis means millions of phone calls per year to HR/payroll/admin departments. Leaving voicemails. Sending emails. Sending faxes (yes, in 2026). Waiting days for callbacks. Calling back. Getting transferred. Leaving more voicemails.\n\nBackground screeners and banks hire armies of people to do this. It's tedious, expensive, and the turnover is bad because the job is mind-numbing.\n\n**💡 What we built**\n\nSuperunit handles employment verifications end-to-end. We do contact research, call HR/payroll/admin departments, navigate phone trees, handle documents, send emails and faxes, and and publish the results back to your ERP.\n\n**🎬 See it in action**\n\n— Watch Ava Do an Employment Verification — \\\n\n\n— Check Out the Platform —\\\n[https://youtu.be/Z-s7F7sqbmE](https://youtu.be/iYKBcB-Y1Vo)\n\n**📊 Traction**\n\n* **65% results obtained**\n* **1 business day** average turnaround\n* **40+ customers** - Banks and background screening companies\n* **70,000 verifications processed**\n* **98% conversion rate** from pilot to full time\n* Two **top-10 background screeners signed**; all top 4 background screeners by revenue in active pipeline.\n\n**🔥 What customers say**\n\nOne customer: _\"If I have this technology, we will dominate the field.\"_\n\nA mortgage lender scaled their loan volume **20x** while keeping their verification team at just **2 people** - they avoided hiring 12 additional heads.\n\nAnother said: _\"You were a game-changer when we were in a really tight spot. We were growing quickly and losing customers because we couldn’t meet their expectations.\"_\n\n**🎯 But Why**\n\nWe pivoted a few months after demo day. We had been told by a product leader at Checkr that employment verifications were “soul crushing.”\n\nWe got curious.\n\nWe started building in January 2025, signed our first customer in March, signed a series C customer in April, signed a top-5 screener in September, signed our first mortgage lender shortly after, crossed 10k, then 50k, then 70k verifications processed, with many more to go!\n\n👥 **Team**\n\n[Zach Yellin-Flaherty](https://www.linkedin.com/in/zachary-yellin-flaherty/) - CTO - ex-Stripe, ex-Index, Stanford BS/MS in CS\n\n[Peter Marler](https://www.linkedin.com/in/marler/) - CEO - 2x founder, ex-Facebook, ex-Quantifind, Stanford GSB\n\n**🙏 Our ask**\n\n* Are you doing employment verifications when hiring? Text me\n* Are you bored of people calling your team to get employment verifications? Text me\n* Play golf with people who work at mortgage lenders? Text me!\n\n**Phone:** (518) 207-5511\n\n**Email:** [peter@superunit.ai](mailto:peter@superunit.ai)\n\n👉 [superunit.ai](https://superunit.ai)",
"url": "https://www.ycombinator.com/launches/PLS-superunit-we-automate-the-most-soul-crushing-job-in-background-checks",
"votes": 15,
"created_at": "2026-02-03T17:47:01.687Z"
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"title": "Superunit 💆🏼♂️ AI accounting agents for companies selling physical products",
"tagline": "Effortlessly automate accounting, integrate inventory data, and eliminate financial statement errors",
"body": "**🙈 TL:DR:** Companies selling physical products spend a fortune on accounting and are still left with incorrect financials because of inventory related complications. We fix that.\n\n\n\n🥵 **PROBLEM**: Companies selling physical products struggle with accounting and inventory operations. Current bookkeeping methods rely heavily on manual input and are often disconnected from accurate inventory data. This leads to mistakes in important financial figures like cost of goods sold (COGS), inventory value, margins, and cash flow. As a result, businesses spend a lot of time and money only to gain an inaccurate picture of their financial health. These inaccuracies lead to poor budgeting decisions, loan rejections, failed fundraising, non-compliance, and frequent cash flow crises.\n\n😍 **OUR SOLUTION:** A powerful AI accounting agent built specifically for companies selling physical products.\n\nOur platform automates bookkeeping and completes a variety of crucial product operations tasks such as calculating COGS, optimizing POs, and conducting contribution margin analysis with only a few clicks.\n\nAll financial and inventory data is connected and written back to QBO or your ERP, eliminating financial statement errors, saving dozens of hours per month, and thousands on accounting costs.\n\n\n\n💡 **THE INSPIRATION:** As the founder of Robin Golf, [Peter](https://www.linkedin.com/in/marler/) encountered this problem frequently. Doing the financials required an expensive team and the books were always inexplicably wrong. As as a result, the company was underwritten for debt and equity incorrectly, wasn’t able to make proper budgeting decisions, couldn’t forecast inventory needs, couldn’t optimize channel mix, and was blindsided by cash shortfalls.\n\n\n\n👬 **THE TEAM**: [**Peter Marler**](https://www.linkedin.com/in/marler/) (CEO) was the co-founder/CEO of Robin Golf, a venture backed, multichannel golf equipment company. Prior to that he held roles at Facebook, Quantifind, and NBCUniversal. He is a graduate of Stanford GSB.\n\n[**Zach Yellin-Flaherty**](https://www.linkedin.com/in/zachary-yellin-flaherty/) (CTO) previously built payments infrastructure at Stripe and Index. He holds two Computer Science degrees from Stanford.\n\n🙏🏼 **ASK:** We’re onboarding customers and looking to grow! We’d love intros to CEOs/CFOs/COO of companies selling physical products - ecomm brands, wholesalers, retailers, dropshippers.\n\n🔗 **LINKS:** Connect with us on these platforms in the meantime!\n\n[**Company Linkedin**](https://www.linkedin.com/company/unit-iq/)\n\n[**Peter Linkedin**](https://www.linkedin.com/in/marler/)\n\n[**Zach Linkedin**](https://www.linkedin.com/in/zachary-yellin-flaherty/)\n\n[**Peter Twitter**](https://x.com/peter_marler)",
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"title": "Ceejay - Give Your Inbox and Calendar a Brain",
"tagline": "Ceejay uses AI to lighten the mental load of managing your inbox and calendar.",
"body": "**TLDR;** We’re launching Ceejay – an all-knowing assistant connected to your inbox and calendar. [Download it here](https://tryceejay.com) (if you have Gmail and an iPhone!).\n\n### **The Problem**\n\nOur inboxes are too noisy to manage and too important to ignore. 70% of people who have a full-time executive assistant start by having them manage their email and calendar. \n\nWhy? It’s an easy way to save time (say, an hour a day) and both platforms have enough context that an assistant can ramp up fairly quickly. We’ve proven LLMs can do this for you, for a fraction of the cost of a human.\n\nWe previously built [Superfilter](https://superfilter.ai) to tackle a similar problem, but we made a _ton_ of mistakes. Thankfully those mistakes led us to a product people find very valuable.\n\n### **Enter Ceejay**\n\nUsing Ceejay is similar to the experience of chatting with a human assistant.\n\nWatch this 60-second video to understand what [Ceejay can do for you.](https://www.youtube.com/watch?v=ybeCMdFXqhc)\n\nCeejay has a growing list of things it can do for you including:\n\n**Searching your inbox:** Why search your inbox for that receipt from July when you can ask Ceejay?\n\n**Managing your schedule:** Why send a calendar link or book an event when you can ask Ceejay (who handles conflicts!)?\n\n**Highlight messages that matter:** Why separate your important messages from the unimportant when Ceejay can do it for you?\n\n**Learning about you:** Ceejay is also the only inbox that deliberately remembers facts about you to reference later. I told Ceejay that my coworkers are Scott and Travis.\n\nJust ask, and you shall receive. There’s no additional inbox to manage. No new interface to learn. Just a clean chat with a ton of features you can use to manage your schedule and (important) email-based conversations efficiently.\n\n### **Who are we?**\n\nWe’re Scott, Travis, and Albrey. We participated in the S24 batch, building Superfilter. During our time building Superfilter, we learned from over 1,000 people about the pain they feel having to manage their inboxes. Our mission is to bring the experience of having a personal assistant to every knowledge worker at 1/100th of the cost. \n\n\n\n### **How can you help us?**\n\nIf you’re an iPhone and Gmail user, download the product at [tryceejay.com.](http://tryceejay.com)",
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"created_at": "2024-10-28T16:33:46.810Z"
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"title": "Superfilter - An executive assistant in your pocket",
"tagline": "Let us manage your inbox so you don't have to.",
"body": "**TLDR;** We built a companion that manages your inbox with the intelligence of an executive assistant. It never misses an important email, suggests follow up actions, and handles things like meeting coordination and quick replies in one click. [**Sign up here to get access.**](https://bit.ly/superfilter-beta)\n\n### **Who we are?**\n\nHey everyone, we’re [Scott](https://www.linkedin.com/in/willscottmoss/), [Travis](https://www.linkedin.com/in/travis-ueki/), and [Albrey](https://www.linkedin.com/in/albreybrown/). We’re serial entrepreneurs who’ve worked together for almost a decade. Over various roles, we discovered the worst part of work is managing our email inbox. So we built an [assistant](https://bit.ly/superfilter-beta) that handles it for us and are now offering it to you.\n\n\n\n# **The Problem**\n\nIn [_A World Without Email,_](https://www.amazon.com/World-Without-Email-Reimagining-Communication/dp/0525536558) Cal Newport explains that the average knowledge worker spends 30% of their workday managing their inboxes rather than engaging in meaningful work. Cutting this time in half could unlock hundreds of hours of productivity.\n\nWe interviewed founders and executives to understand how they deal with this. We typically heard one of three strategies:\n\n👀 Ignoring email altogether. Super efficient, but results missed opportunities and annoyed customers and friends.\n\n🤝🏿 Hiring an executive assistant. Saves a lot of time, but is very expensive.\n\n✉️ Clients like Superhuman. Affordable, but marginally more efficient than traditional email clients.\n\nWe couldn’t find a solution that was as reliable as an executive assistant and as affordable as a suped-up email client, so we set out to build it.\n\n# **Enter Superfilter**\n\nSuperfilter doesn’t replace your email client. Rather — it connects to your inbox and manages it like your executive assistant. While you’ll use email for strategic work, Superfilter keeps you on top of the tactical stuff.\n\nHere are some of its capabilities users love so far:\n\n**Overviews make sure you never miss an important email**\n\n\n\n**Feeds keep track of your to-do’s and FYI’s**\n\n\n\n**Tasks let you delegate repetitive work to Superfilter**\n\n\n\nSuperfilter’s purpose is to give you back time and peace of mind. It’s always working, improves as it learns from you, and will only leave to work for another person if you cancel your subscription.\n\n# **The Ask**\n\nUse the product and give us feedback. We only support iPhone and Gmail (Superhuman and Hey included).\n\n* [**Sign up on our waitlist for early access**](https://bit.ly/superfilter-beta)\n* **Follow us:** Give us a follow on [Twitter &](https://x.com/superfilter_ai) [LinkedIn](https://www.linkedin.com/company/superfilter-ai/)",
"url": "https://www.ycombinator.com/launches/LeN-superfilter-an-executive-assistant-in-your-pocket",
"votes": 60,
"created_at": "2024-08-20T16:53:25.765Z"
}
]
},
{
"id": 29579,
"name": "Understood Care",
"slug": "understood-care",
"former_names": [
"Ply Health",
"Inc",
"Ply Health"
],
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"website": "https://understoodcare.com",
"all_locations": "New York City, NY, USA",
"long_description": "The American healthcare system is complicated. 88% of US adults cite difficulties navigating the healthcare system. \r\n\r\nThe good news is patient advocacy became a covered benefit by Medicare in 2024. \r\n\r\nUnderstood Care matches Medicare patients with a healthcare personal assistant (known as a Patient Advocate) at little to no cost to the patient. Patient Advocates help patients patients access care - finding resources, helping fill out paperwork, and much more. \r\n\r\nUnderstood Care uses AI and healthcare expertise to deliver the highest quality patient advocacy to the 68 million Medicare patients in the US. ",
"one_liner": "Healthcare personal assistants for Medicare patients.",
"team_size": 7,
"industry": "Healthcare",
"subindustry": "Healthcare",
"launched_at": 1715876832,
"tags": [
"Health Tech",
"Healthcare",
"Health Insurance",
"AI",
"AI Assistant"
],
"tags_highlighted": [],
"top_company": false,
"isHiring": false,
"nonprofit": false,
"batch": "Summer 2024",
"status": "Active",
"industries": [
"Healthcare"
],
"regions": [
"United States of America",
"America / Canada",
"Remote",
"Partly Remote"
],
"stage": "Early",
"app_video_public": false,
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"app_answers": null,
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{
"question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
"answer": "Understood Care advocacy will greatly reduce non-medical barriers to care for Medicare patients.Patient advocacy has two fundamental components - a search component and a delivery component.As an example, a common problem for our patients is around transportation. Patients who can no longer drive need alternative transportation to go to doctor’s appointments, shops and social events. However, there are two main issues:\\* **Search problem:** Though there are county, state, insurance and non-profit sponsored transportation programs, they are not well advertised. Each program has their own bespoke qualification criteria. Patients can’t tell find the right solution.\\* **Delivery problem:** The application process for a program usually involves long forms asking for extensive information. Patients need help completing paperwork.At Understood Care, we are solving both problems with the use of AI agents.Our advocate agent centralizes and progressively learns from the collective expertise of every Understood Care advocate as well as previous successful patient encounter to confidently identify and predict with the most relevant, accurate, and statistically best solution for our advocates to present to the patient.Our workflow agent automates tasks such as form completion and real-time note-taking, helping our advocates solve the patient’s problem faster."
}
],
"url": "https://www.ycombinator.com/companies/understood-care",
"api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/understood-care.json",
"year_founded": 2025,
"city": "New York City",
"country": "US",
"linkedin_url": "https://www.linkedin.com/company/understood-care",
"x_url": "",
"fb_url": "https://www.facebook.com/understoodcare",
"cb_url": null,
"github_url": null,
"logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/895bc73d946362c90b0900dbf85005b76c9c34c9.png",
"app_video_url": null,
"dday_video_url": null,
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"primary_partner": {
"name": "Pete Koomen",
"url": "https://www.ycombinator.com/people/pete-koomen"
},
"founders": [
{
"user_id": 1753723,
"full_name": "Samantha Wu",
"title": "Founder/CEO",
"founder_bio": "Understood Care (fka Ply Health) Co-founder. Previous Head of Bizops @ Finni (W23). Previously @ Cedar, SiteRx, Carlyle, Evercore. ",
"is_active": true,
"linkedin_url": "https://www.linkedin.com/in/samanthawu/",
"x_url": "",
"avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/393068defb1a81095b51804a1162570edfa9767d.jpg"
},
{
"user_id": 4311795,
"full_name": "Kevin Bailey",
"title": "Founder",
"founder_bio": "Co-Founder @ Understood Care; Ex-Uber & Ex-Postmates",
"is_active": true,
"linkedin_url": "https://www.linkedin.com/in/kevin-bailey-2951b0162/",
"x_url": "https://x.com/kevinwooof",
"avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f65aa6ace2d5f7d64aa704f92bd77d06cf94602f.jpg"
}
],
"jobs": [],
"news": [
{
"title": "Understood Care raises $8.4M for patient advocacy",
"url": "https://www.axios.com/pro/health-tech-deals/2026/03/16/understood-care-8m-patient-advocacy",
"date": "Mar 16, 2026"
}
],
"launches": [
{
"id": 93210,
"title": "Understood Care: AI Powered Patient Advocacy",
"tagline": "Delivering high quality, Medicare covered patient advocacy to the 68 million Medicare patients in the US.",
"body": "### **What is Understood Care?**\n\n[Understood Care](https://understoodcare.com/) is a virtual patient advocacy platform for patients with Medicare. \n\nAdvocates are administrative assistants with healthcare expertise that unblock access to care for patients. Advocates can help patients find transportation, schedule appointments, apply for financial aid and much more. We use AI to help advocates deliver superior advocacy at scale. \n\nPatient advocacy became a new Medicare covered benefit in 2024. Most Understood Care patients pay $0 out of pocket. \n\n\n\n### **The Problem**\n\nThe American healthcare system is notoriously complex. 72% of insured adults lack confidence in managing their health insurance and benefits.\n\nFor the **68 million Medicare beneficiaries,** these challenges are even greater. Barriers in technology, finances, and health literacy often keep Medicare patients from accessing care, driving worse health outcomes and higher costs to the system.\n\nThe number of patients experiencing this problem is only growing. By 2030, the number of Medicare beneficiaries is projected to reach 80 million. \n\n### **How does Understood Care work?**\n\n1️⃣ Patient signs up on website or by calling in.\n\n2️⃣ We check the patient’s insurance eligibility and complete a patient intake with our clinical team.\n\n3️⃣ We get the patient matched with the advocate that best fits their needs.\n\n4️⃣ The advocate uses Understood Care’s clinical expertise and AI tools to resolve each patient’s unique care needs.\n\n\n\nExamples of problems we’ve helped patients tackle:\n\n⚠️ **Problem:** Patient could no longer drive to his appointments.\n\n✅ **Solution:** We set the patient up with free county medical transportation. \n\n⚠️ **Problem:** The patient did not have money to afford proper food.\n\n✅ **Solution:** We signed the patient up for a program that delivers free nutritious meals to low income seniors. \n\n⚠️ **Problem:** Patient received a new diagnosis and was overwhelmed.\n\n✅ **Solution:** We helped the patient go over the doctor’s instructions and scheduled appointments with in network specialists.\n\n### **Milestones**\n\n⭐ We helped our first patient in April and are currently supporting 300+ patients.\n\n⭐ Active in 40 states.\n\n⭐ Able to accept Medicare, UHC, Humana and Aetna (top 3 Medicare Advantage plans).\n\n### **Team**\n\nUnderstood Care is built by a team fluent in AI, healthcare operations, and clinical care. \n\n\n\n[Sam](https://www.linkedin.com/in/samanthawu/) (CEO) was an operator at several high growth healthcare tech startups including Finni, SiteRx, and Cedar. Ex-Carlyle, ex-Evercore. \n\n[Kevin](https://www.linkedin.com/in/kevin-bailey-2951b0162/) (CTO) was a previous 2x founder (1x in browser tech, 1x in enterprise VDI). Ex- Uber/Postmates.\n\n[Dr. Adam Bonder ](https://www.linkedin.com/in/adam-j-bonder-md-mba-83b7a254/)(Medical Director) was previously the Medical Director at a VC backed behavioral health practice and is a actively practicing ER doc.\n\n### **Asks**\n\n✔️ Please share [our website ](https://understoodcare.com/)with friends or family that could benefit from our services. \n\n✔️ Please help us spread the word to other healthcare and community organizations - we accept [referrals](https://understoodcare.com/refer) through our website.\n\n✔️ Give us a follow on [LinkedIn](https://www.linkedin.com/company/understood-care) and [Facebook](https://www.facebook.com/understoodcare).",
"url": "https://www.ycombinator.com/launches/OFO-understood-care-ai-powered-patient-advocacy",
"votes": 39,
"created_at": "2025-08-20T22:51:27.317Z"
},
{
"id": 81329,
"title": "🍃 Ply Health: Get providers in network faster",
"tagline": "We use AI to get behavioral health providers in network, so they can start billing twice as fast.",
"body": "### tl;dr\n\nProviders need to get in network with insurance companies, but the process is time-consuming and an administrative headache. We ingest provider information and use AI to automate submissions, saving providers months of waiting.\n\n### ❌ The Problem\n\nBeing in network with a health insurer is critical for both patients and providers:\n\n* For patients, seeing in network providers means dramatically lower healthcare costs. This informs which providers they choose and whether they can even afford to visit one.\n* For providers, being in network means a bigger pool of potential patients. It also simplifies billing and reimbursement.\n\nHowever, the process of getting a provider in network is highly manual and fragmented. There are approximately **1,400** payers in the US, each with their own enrollment process. Some of these processes involve painstakingly filling out 50+ page forms.\n\nOn top of burning hours of administrator time, delays are costly. A single incorrect field can push back cases by months. With providers billing $3,000/week, this costs healthcare practices **tens of thousands of dollars per provider**.\n\n### ⭐ Our Solution\n\nWe provide standardized questionnaires to collect all required provider information and documents. Our customers are then able to request a new network enrollment in just a few clicks instead of spending hours navigating insurance websites to find the correct forms.\n\n\n\nOn the backend, we’re automating each part of the enrollment process. We also have an experienced ops team as humans-in-the-loop to make sure everything is processed correctly. This ensures that enrollments are completed quickly and accurately, our customers’ two most important KPIs.\n\nOur product is currently optimized for behavioral health providers. We are working quickly to expand into other specialties. \n\n### 📈 Results with Ply\n\nWe are currently working with practices such as Finni Health, Legion Health, Anna Autism Care, Shasta Health, and Birches Health. \n\n\n\nFor our customers, we’re getting in network **2x - 3x** **faster** compared to alternative solutions, helping them earn additional **hundreds of thousands of dollars** in billing revenue.\n\n### 🧑💻 The team\n\n\n\n_We’ve been friends for over 15 years but don't actually have pictures together because we’re both camera shy_\n\n**Sam** started her career in finance (M&A IB, then large cap PE) before realizing that she was meant to be a startup operator. She discovered the pain point of contracting and credentialing first hand when she was running BizOps at Finni Health. \n\n**David** is a pre-med turned software engineer with a specialty in building scalable backend systems at Meta and Snap. \n\n## 🙏 The ask\n\nIf you’re a behavioral health practice or are friends with one, we’d love to chat! Please reach out at [hello@plyhealth.com](mailto:hello@plyhealth.com) or book a demo on our [website](https://www.plyhealth.com/). \n\nIf you’re at a behavioral health insurance payer, or are friends with one, we’d love to chat about potential partnerships. Please reach out at [hello@plyhealth.com](mailto:hello@plyhealth.com).\n\nIf nothing else, we’d appreciate sharing our launch and following us on [LinkedIn](https://www.linkedin.com/company/plyhealth)!",
"url": "https://www.ycombinator.com/launches/L9l-ply-health-get-providers-in-network-faster",
"votes": 21,
"created_at": "2024-06-05T23:06:00.161Z"
}
]
},
{
"id": 29582,
"name": "Cheers",
"slug": "cheers",
"former_names": [],
"small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/319852b81dd897865aad034d9eccd66519d3b017.png",
"website": "https://www.cheers.tech",
"all_locations": "San Francisco, CA, USA",
"long_description": "AI assistants are replacing search for local businesses. When someone asks ChatGPT for a plumber or hotel recommendations, reviews are the primary training signal, especially in local markets where other data is sparse. This is GEO (Generative Engine Optimization).\r\n\r\nCheers is the full-stack GEO platform for local service businesses. We audit AI visibility, build optimization plans (schema markup, citation fixes, review strategy), and give frontline teams NFC tools to generate reviews with employee-level attribution.\r\n\r\nVivint generated 70,000+ five-star reviews in 5 months. They now rank #1 on ChatGPT and Google Search across their markets.",
"one_liner": "Win local search on ChatGPT & other LLMs",
"team_size": 2,
"industry": "B2B",
"subindustry": "B2B",
"launched_at": 1721413814,
"tags": [
"Analytics",
"Feedback",
"AI",
"Reviews"
],
"tags_highlighted": [],
"top_company": false,
"isHiring": false,
"nonprofit": false,
"batch": "Summer 2024",
"status": "Active",
"industries": [
"B2B"
],
"regions": [
"United States of America",
"America / Canada"
],
"stage": "Early",
"app_video_public": false,
"demo_day_video_public": false,
"app_answers": null,
"question_answers": null,
"url": "https://www.ycombinator.com/companies/cheers",
"api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/cheers.json",
"year_founded": 2024,
"city": "San Francisco",
"country": "US",
"linkedin_url": "https://www.linkedin.com/company/cheers-software/",
"x_url": "https://x.com/Cheers_Software",
"fb_url": null,
"cb_url": null,
"github_url": null,
"logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/319852b81dd897865aad034d9eccd66519d3b017.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": 1314282,
"full_name": "Dylan Allen-Arnegård",
"title": "Founder/CEO",
"founder_bio": "Dylan is the CEO & Co-Founder of Cheers. Dylan previously helped build Azure Linux at Microsoft, and interned as a product manager and software engineer at Podium (YC W16), and Weave (YC W14). Before getting his degree in Computer Science from BYU, he spent more than 5 years in different frontline roles across Texas, Utah, Idaho, and Argentina.",
"is_active": true,
"linkedin_url": "https://linkedin.com/in/dylan-allen",
"x_url": "https://x.com/dylan_a",
"avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d14e64b72488a95cf7c30c0d7da99ab88f96b9f8.jpg"
}
],
"jobs": [],
"news": [],
"launches": [
{
"id": 93185,
"title": "Cheers - The GEO platform to win local search on ChatGPT",
"tagline": "We help service businesses win local search on ChatGPT & other LLMs",
"body": "Hey there!\n\nWe’re [Dylan](https://www.linkedin.com/in/dylan-allen/) and [Amadeus](https://www.linkedin.com/in/amadeus-peterson/), the founders of [Cheers](https://www.cheers.tech).\n\n\n\n### TL;DR\n\n**TL;DR** AI assistants (ChatGPT, Gemini) are changing how customers find local services. Soon, they will be booking appointments and buying on our behalf. AI recommends based on **reputation, not ads**. This shift is GEO (Generative Engine Optimization).\n\nCheers is the full-stack GEO platform for service businesses. We ensure AI recommends you first. We analyze your reputation, build a strategy, and turn your frontline employees into a reputation engine—capturing reviews at the point of service and attributing every outcome to the individual employee.\n\n**Ask:** Know a multi-location service business (home services, retail, field sales)? Intro us: [dylan@cheers.tech](mailto:dylan@cheers.tech) (10% referral bonus for closed deals!)\n\n### **Video:**\n\nhttps://youtu.be/P42T7HQSncA\n\n# \n\n# The Problem: The End of Local Search As We Know It\n\nLocal search is dying. Consumers are moving away from traditional Google searches and asking AI assistants for recommendations. Soon, AI will move from recommendation to action—booking and buying directly.\n\nThis is the era of GEO (Generative Engine Optimization), and it changes the rules:\n\n* **You Can't Buy Ads on ChatGPT (yet):** You can pay to be at the top of a Google search, but you can't pay to be suggested by ChatGPT. AIs ignore ad budgets and analyze authentic reputation signals (reviews, citations, social proof).\n* **Reputation is Everything:** If the AI cannot find strong, verifiable evidence of your quality, your business is invisible.\n* **The Execution Gap:** Most service businesses generate goodwill face-to-face but fail to systematically capture it on the 3rd party sites AI trusts.\n* **The Attribution Gap:** Even when they get reviews, they lack attribution. Managers can't see which employees are driving their reputation, so they can’t scale what works.\n\nYou can’t win GEO if you don’t generate the right signals, and you can’t optimize the signals if you can't attribute them.\n\n\n\n# Our Solution: The Full-Stack GEO Platform\n\nCheers is the platform built natively for GEO. We help businesses generate the reputation signals that AIs trust and attribute those signals to the people who create them.\n\nHere’s the platform:\n\n1. **Analysis & Strategy:** We analyze a company’s existing online reputation and build a custom GEO optimization plan (covering the reviews, citations, and evidence hubs that AIs parse confidently).\n2. **The Reputation Engine (Execution):** We equip frontline employees with ultra-low-friction tools (like NFC taps) to capture reviews and social proof right at the point of service. We route these to the 3rd party sites AI actually cites.\n3. **Employee-Level Attribution (The Key):** We attribute every review and referral back to the specific employee and location. Managers can see what behaviors drive growth—and coach, reward, and scale them.\n\n\n\n**Traction & Proof** The demand for GEO is exploding. **Cheers has grown 115% in the last 40 days.**\n\nOur methodology is proven at enterprise scale. [Vivint Smart Home](https://vivint.com/) used Cheers to operationalize their reputation strategy across 400 locations.\n\nThe results: **70,000+ new 5-star reviews in 5 months.** Vivint now dominates AI recommendations for smart home services in all their service areas. 🤯\n\n# **The Team:**\n\nWe've been friends for more than 5 years, and moved from Utah to San Francisco to make Cheers into a decacorn.\n\n\n\n[**Dylan Allen**](https://www.linkedin.com/in/dylan-allen/) (CEO) is a technical founder who's worked in experience/reputation management across [Podium](https://www.podium.com/) (YC W16), [Weave](https://www.getweave.com/) (YC W14), and [Microsoft Azure](https://azure.microsoft.com/en-us/) before starting Cheers.\n\n\n\n[**Amadeus Peterson**](https://www.linkedin.com/in/amadeus-peterson/) (CTO) was a software engineer at [Northrop Grumman](https://www.northropgrumman.com/) working on the Sentinel Missile system before Dylan convinced him to quit and move to SF.\n\n**Our Ask:** Do you know anyone at a multi-location service business (Home Services, Field Sales, Retail, Hospitality)? PE rollups are also a great fit.\n\nEmail [dylan@cheers.tech](mailto:dylan@cheers.tech) with an intro → We offer a 10% referral bonus on the annual contract value of any closed deal.",
"url": "https://www.ycombinator.com/launches/OEz-cheers-the-geo-platform-to-win-local-search-on-chatgpt",
"votes": 94,
"created_at": "2025-08-20T14:29:27.340Z"
},
{
"id": 83053,
"title": "Cheers: The super-app for in-person employees",
"tagline": "Meet Cheers, the all-in-one platform for in-person employee excellence.",
"body": "**TL;DR:** We’re [Cheers](https://cheers.tech), building the super-app for in-person employees (think home services, restaurants, D2D sales). We’re starting with NFC-enabled employee badges that make key tasks—like collecting reviews and verifying employment—seamless. It’s our first step toward becoming the central platform for in-person work.\n\n# **🥂 What is Cheers?**\n\n_Cheers is on a mission to revolutionize how in-person employees work._ We’re building the super-app that will become the central hub for everything these employees need—from managing schedules and tracking performance to accepting tips and capturing customer feedback—all through NFC technology pre-enabled on smartphones today.\n\n\n\n# **🧨 The Problem We Solve:**\n\n**In-person customer and employee interactions are often inefficient and filled with friction.** Whether it’s collecting feedback, verifying employment, or capturing leads, these processes are typically slow, manual, and prone to errors. This inefficiency not only frustrates employees and customers _but also leads to missed opportunities for businesses to optimize and grow._\n\nCheck out how it looks here: \n\n**Cheers aims to make every in-person interaction seamless, frictionless, and measurable.** We’re starting with NFC-enabled employee badges that go beyond basic identification. These badges enable employees to perform key actions with just a tap—whether it’s gathering a 5-star Google Review, collecting a lead, or verifying employment—right when it matters most, face-to-face with the customer.\n\n# \n\n# **🚀 Why We’re Excited About Cheers:**\n\nWe believe that these badges are our wedge into businesses. They address immediate needs (better Google Reviews, etc.) while laying the groundwork for something much bigger. **As employees and owners tap into Cheers’ early features, they quickly see the value in capturing and attributing customer interactions to individual employees.** That means the right employees get the proper credit and feedback, which is actionable at a more granular level. We’ve already seen this open the door to deeper integration across operations. _(**also, Apple** made an announcement about **iOS 18.1** that really excites us, check it out _[_here_](https://9to5mac.com/2024/08/14/apple-nfc-chip-iphone-ios-18-1/)_.)_\n\n**Example:** Imagine an employee tapping their badge to allow a customer to leave a 5-star Google Review in just 3 taps: notification, rating, post. Or, picture a customizable employee page where customers can perform multiple actions—like booking services or leaving feedback—all in one place.\n\n\n\n# **📈 Our Traction:**\n\nWe have 25 customers, the majority of which are small businesses, like your local bridal shop or burger joint. We have one enterprise-level client with whom we’ve been running a successful paid pilot for the past 2 months. **We’ve grown our MRR from \\~$1,400 on July 1st to \\~$4,000 now.** Cheers has already processed over 3,000 internal and external reviews for our customers. \n\nOur reporting software is delivering real results—**our average customer has 5-10x’ed their monthly 5-star Google Reviews.** Managers are using it to track performance, run competitions, and provide targeted feedback. **(See the screenshot below for a look at what our customers do when hosting competitions).**\n\n\n\n**But this is just the start.** We’re building Cheers to be the central operating system for in-person businesses—a platform that will transform how in-person teams operate, from scheduling and payments to customer engagement and beyond.\n\n# **🙏 Our Ask to You:**\n\nWe’re looking for intros to folks who manage—or know someone who manages—in-person, customer-facing teams: anything from self-storage to solar sales. Cheers is _especially_ helpful for companies that currently struggle with getting online reviews (Google, TripAdvisor, Thumbtack, etc.).\n\nOur first product, the Cheers NFC-enabled employee badge, is already delivering strong results, and with your help, we can build something truly impactful. Request a text from one of us, or schedule a call with our CEO Dylan, [here](https://cheers.tech/get-started).\n\nAnd finally, a toast, to people like you. Cheers! 🥂",
"url": "https://www.ycombinator.com/launches/LbZ-cheers-the-super-app-for-in-person-employees",
"votes": 65,
"created_at": "2024-08-14T22:06:15.209Z"
}
]
},
{
"id": 29585,
"name": "Mem0",
"slug": "mem0",
"former_names": [
"Embedchain Inc",
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"body": "**TL;DR**\n\n[Mem0](https://mem0.ai) is an open-source memory layer for AI applications. It solves the problem of stateless LLMs by efficiently storing and retrieving user interactions, enabling personalized AI experiences that improve over time. Our hybrid datastore architecture combines graph, vector, and key-value stores to make AI apps personalized and cost-efficient. Watch our explainer video [here](https://youtu.be/Rg3_Mpr3Kcs).\n\n—\n\nHey everyone! We're Taranjeet and Deshraj, and we built [Mem0](https://github.com/mem0ai/mem0) to solve a big problem we faced with LLMs while building Embedchain (an open-source RAG framework with 2M+ downloads). LLMs don’t have memory, so they forget everything after each session. This leads to inefficient and repetitive interactions, making it hard to create personalized AI experiences. Think about having to repeat your preferences over and over again, and how frustrating that gets! Mem0 changes that.\n\n❌ **The Problem**\n\nLLMs are stateless—they don’t remember anything between sessions. Every time you interact with them, you have to provide the same context, which gets repetitive and wastes computational resources. This makes AI apps less useful and personalized over time.\n\n✨ **Our Solution**\n\n\n\nMem0 adds a **memory layer** to AI applications, making them stateful which allows them to store and recall user interactions, preferences, and relevant context. This way, AI apps evolve with every interaction, delivering more personalized and relevant responses without needing large context blocks in each prompt.\n\nTo make this possible, we needed to create a system that could efficiently manage and retrieve all the relevant information AI apps collect over time. That’s where Mem0’s **hybrid datastore architecture** comes in, making AI smarter and more efficient as it learns.\n\n⚙️ **How it works**\n\n[Mem0](https://mem0.ai) employs a hybrid datastore architecture that combines graph, vector, and key-value stores to store and manage memories effectively. Here’s the breakdown:\n\n* **Adding memories:** When you use Mem0 with your AI App, it automatically detects and stores the important parts of your messages or interactions.\n* **Organizing information:** Mem0 categorizes memories in three ways:\n * **Key-value stores** for quick access to structured data (facts, preferences).\n * **Graph stores** for understanding relationships (like people, places, objects).\n * **Vector stores** for capturing the overall meaning and context of conversations, allowing AI apps to find similar memories later.\n* **Retrieving memories:** When an input query is received, Mem0 searches for and retrieves relevant memories using a combination of graph traversal techniques, vector similarity, and key-value lookups. It prioritizes the most important, relevant, and recent information, ensuring that the AI has the right context, no matter how much memory is stored.\n\nWatch this video for a demo of our playground in action [here](https://youtu.be/VtRuBCTZL1o)\n\n🙏 **Our Asks**\n\n* Try out [Mem0](https://mem0.ai)! We guarantee that your users will have personalized interactions after adding Mem0 in your AI apps. Moreover, you will save on your LLM costs.\n* If you are looking for a memory provider for your AI app and want to schedule a demo, please feel free to block some time on [my calendar](https://cal.com/taranjeetio/mem0) or email me at [taranjeet@mem0.ai](mailto:taranjeet@mem0.ai)\n* Checkout our platform and open-source offering and give feedback:\n * Platform: \n * GitHub: ",
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"title": "Distr – The Open Source Control Plane for Self-Managed, BYOC, and On-Prem Deployments",
"tagline": "Connect Distr to GitHub and deploy anywhere in hours—not months.",
"body": "Hi everyone! We’re [Philip](https://www.linkedin.com/in/pmigat/) and [Louis](https://www.linkedin.com/in/louisnweston/), the co-founders of [Glasskube](https://glasskube.dev/) and we are excited to share Distr.\n\n\n\n**TLDR:** Distr is an Open source control plane for AI companies. Our customers plug us into their existing CI/CD pipeline to offer BYOC and self-managed in hours, not months.\n\n**Distr is fully open source.** Check out our repository on [GitHub](https://github.com/glasskube/distr). (We'd appreciate a star 🌟)\n\n### **“Self-managed is making a big comeback.” — Shay Banon, Founder of Elastic**\n\n\n\nWe spoke with Shay earlier this month, and I couldn’t agree more.\n\n* Enterprises want control.\n* Data is valuable\n* Security concerns are rising\n* Data sovereignty is now critical, especially in the age of AI.\n\nThis shift has been building for a while and is accelerating rapidly, particularly in Europe, Singapore, and regulated industries around the world.\n\nIf you're building AI tooling and selling to large customers, how often have you been asked: _“Can we run this inside our VPC?”_\n\n### So why isn’t everyone offering self-managed?\n\nBig players like ClickHouse, Snowflake, and Redpanda figured it out early. But for smaller teams, supporting self-managed deployments often feels out of reach. Too much effort, not enough return.\n\nSelf-managed often means:\n\n* Too much complexity, too early.\n* Every customer wants something different.\n* Shipping updates is slow and painful.\n* You’re flying blind, no usage insights.\n* Troubleshooting without visibility is brutal.\n\n### \n\n### Our Solution\n\nDistr is your Open Source control plane for self-managed, BYOC, and on-prem deployments. It gives you everything you need out of the box to support self-managed customers without building a custom solution from scratch. Distr fits right into your existing stack and lets you onboard, update, and support self-managed customers in minutes, not months. Just connect your GitHub repo and you’re up and running.\n\n\n\n* **Simple GitHub integration:** Connect your repo and start shipping in minutes.\n* **Works with your stack:** Supports Docker Compose, Terraform, Docker Swarm, and Kubernetes.\n* **Deploys anywhere:** AWS, GCP, Azure, on-prem, and even air-gapped environments.\n* **White-label customer portal:** Give your customers full control and visibility into their deployments.\n* **Built-in OCI registry:** Track image downloads and updates at the user and tag level.\n* **Advanced telemetry:** Collect detailed usage and performance metrics with OpenTelemetry.\n* **Flexible licensing:** Restrict access to versions and features with our Open Feature-compatible licensing server.\n* **API-first and automation-ready:** Fully integratable via API and SDK for custom workflows.\n\nhttps://youtu.be/FkSWkudlHJw\n\n### Coming soon:\n\n* Built in CVE scanning and automated security checks for all artifacts\n* HubSpot Integration\n* Workflows with Slack Notifications\n\n### First self managed customer?\n\nZero to one is the hardest. From your first PoC to a working Helm Chart and your first self-managed production deployment—we’ve done it all, many times over. That’s why we support you during your first self-managed customer and why using Distr is an unfair advantage.\n\n### Our Ask\n\n* [Try it for free](https://signup.distr.sh/signup.html) and give us feedback or\n* [Book a Demo](https://cal.glasskube.com/team/gk/demo)",
"url": "https://www.ycombinator.com/launches/NVF-distr-the-open-source-control-plane-for-self-managed-byoc-and-on-prem-deployments",
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"title": "Glasskube - Open source package manager for Kubernetes",
"tagline": "Deploy, update, and configure Kubernetes packages 20x faster ",
"body": "Hi everyone! We’re [Philip](https://www.linkedin.com/in/pmigat/) and [Louis](https://www.linkedin.com/in/louisnweston/), the co-founders of [Glasskube](https://glasskube.dev/).\n\n**TLDR:** Glasskube is an open source package manager for Kubernetes that makes deploying, updating, and configuring packages on Kubernetes **20x faster than** tools like **Helm or Kustomize.** Inspired by the simplicity of Homebrew and npm, our goal is to build enterprise-ready infrastructure software that can run mission-critical workloads across the more than 3 million Kubernetes clusters globally.\n\n**Glasskube is fully open source.** Check out our repository on [GitHub](https://github.com/glasskube/glasskube). (We'd appreciate a star 🌟)\n\n\n\n# **The Backstory & Problem**\n\nKubernetes packages have been growing rapidly, from around 100 packages in 2016 to over 800 packages on the CNCF landscape today. With more than 7 million developers working with Kubernetes, Helm, an open-source tool created during a hackathon nine years ago, has become the go-to solution. However, Helm struggles to keep up with the increasing demand, leading to complex workflows and non-standardized solutions.\n\nOver the past five years, writing and deploying packages on Kubernetes, we found ourselves defaulting to Helm despite its shortcomings due to a lack of alternatives. While working on other cloud-native projects, users consistently highlighted common pain points with Helm. This realization prompted us to tackle the larger issue of package management in Kubernetes, leading to the development of Glasskube.\n\n# **What is Glasskube?**\n\nGlasskube brings the experience of Homebrew or npm to your Kubernetes cluster. It simplifies installation, updates, and configuration, making it easier and faster to manage your packages.\n\n\n\n**Focusing on simplicity and reliability with our CLI and UI**\n\nEasily install packages in your cluster via the Glasskube UI, where all packages are conveniently located, eliminating the need to search for a Helm repository.\n\n**Safe Package Updates**\n\nPreview and perform pending updates to your desired version with a single click (or CLI command). All updates are pre-tested by the Glasskube test suite.\n\n**Package configurations**\n\nConfigure packages with typesafe input values via the UI or interactive CLI questionnaire. Inject values from other packages, ConfigMaps, and Secrets easily. No more untyped and undocumented values.yaml files.\n\n**GitOps Integration**\n\nAll Glasskube packages are custom resources, manageable via GitOps. We're also integrating with [renovate](https://github.com/renovatebot/renovate/issues/29322). \\\n\\\nRead also more about [dependency management](https://glasskube.dev/docs/design/dependency-management/), [multiple repositories and private packages](https://glasskube.dev/docs/design/repositories/) on our [website](https://glasskube.dev/).\n\nInterested? Check out our [Demo.](https://youtu.be/aIeTHGWsG2c)\n\n# **Our Vision**\n\nCurrently, we are focused on enhancing the user experience, aiming to save engineers as much time as possible by building on top of existing technologies. In the future, we plan to develop an entirely new packaging and bundling format for all cloud-native packages. This will provide package developers with a straightforward way to define how to install and configure packages, offer simple upgrade paths, and enable us to provide feedback, crash reports, and analytics to every developer working on Kubernetes packages, similar to how Android supports Play Store developers.\n\n# **Presignup - Glasskube Cloud**\n\nWe are currently working on Glasskube Cloud, for which you can now [pre-signup](https://glasskube.cloud/signup.html). Key features include:\n\n* Cloud Hosted Private Packages\n* Security Alerts and Update Notifications\n* Advanced GitOps Integrations (intelligent insights on upgrade success probability, smart config migration suggestions, enhanced open PRs showing detailed changes at manifest/resource level)\n\n# **Our Asks**\n\nWe love talking to engineers and anyone interested in DevOps who uses Kubernetes. You can schedule a call with Louis and Philip [here](https://cal.glasskube.eu/team/founder/30min).\n\nIf you find this interesting and would like to try it out:\n\n* Presignup for [Glasskube Cloud](https://glasskube.cloud/signup.html)\n* Check out our repository [on GitHub](https://github.com/glasskube/glasskube).",
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"created_at": "2024-06-18T16:27:51.444Z"
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"body": "**tl;dr: Hardware companies** use [Saphira](https://saphira.ai/) to easily **generate safety reports** and **get certified to sell** their product.\n\nWe’re [Oscar](https://www.linkedin.com/in/oavatare/) and [Akshay](https://www.linkedin.com/in/akshaychalana/), and we’ve built software for hardware and compliance at Twitter, Tesla, Amazon, and Hyperloop. \n\nWe’re making it really easy to get **UL, CE, ISO, and TÜV** certifications like **ISO 10218** and **ISO 26262** for hardware products.\n\n\n\n# What are safety certifications, and who needs them?\n\nBuilding **industrial machinery** that can hurt someone, like robot arms and autonomous trucks? Your **customers will mandate** TÜV safety certification per particular ISO and IEC standards! \n\nBuilding **small appliances** that plug into the grid? Many **retailers won’t sell your product,** and **commercial buildings won’t install** it unless you’re UL or CE certified! \n\nBuilding a **satellite or communication system**? The **FCC won’t allow** it to operate without certification!\n\nBuilding **defense equipment** for the government? **They won’t buy** it unless it’s compliant with the relevant MIL-STDs!\n\n# Why did we start Saphira?\n\nHardware products can’t get to market because teams **don’t know how to navigate the certification process**. Unlike SaaS, there are no tools like Vanta that tell you exactly what you need to test, change, and re-evaluate in your designs to pass audits. This sucks because every hardware company we talk to gets stuck in **rework cycles** with their consultants and auditors that they call **“horrendous and intimidating”** (real customer quote).\n\nWe've seen this at Amazon and Tesla, where engineers don't know when a change breaks certification. Each iteration requires them to work with consultants to understand what broke, lengthening the time to launch.\n\nWe created Saphira to empower these innovators to **rapidly** build complex products **that actually work**, all while achieving and maintaining compliance with the **evolving regulatory landscape**.\n\n# What does Saphira do?\n\nSaphira tells you exactly what you need to account for in your **design and testing** to **achieve and maintain** hardware safety certification and compliance. We’re a centralized data source for the **requirements, tests, and standards** that are relevant to your product, making it straightforward to **identify and triage safety and compliance risks** without wasting months of time and thousands of dollars on **slow safety consultants**.\n\nSaphira automates **traceability**: regulatory reports by engineers that prove that requirements like “the robot arm won’t shock an attendant if touched while in motion” were implemented and validated. These reports are **painful and tedious** to produce. By maintaining references to all necessary source information, Saphira can automatically generate these reports, and even automatically identify which additional standard clauses are relevant to each requirement or design value.\n\n\n\n# Who is Saphira for?\n\nSaphira is for engineers at hardware organizations of any scale and size:\n\n* The **safety engineering team** at an industrial robotics company can use Saphira’s **compliance report generator** (i.e. ISO-12100 and ISO-10218) to **achieve certification** to operate in the US.\n* An **engineering leader** at a hardware startup that needs UL certs to sell to more customers can use Saphira to speed up their process by months by avoiding hiring a slow safety consultant. \n* A **systems engineer** at an aerospace/defense company can use Saphira’s **AI tooling** to understand **how various military and government standards** (such as MIL-STD-810 or ISO-26262) are relevant to each facet of their specs and models.\n\n# Ask\n\n* We are experts in certifications for hardware companies. If you think you might need this but aren't sure how to approach it, we are happy to help for free — [just reach out](mailto:akshay@saphira.ai).\n* If you know other engineering leaders seeking to improve their certification processes, [connect us](mailto:akshay@saphira.ai)! We are most interested in talking to leaders in industrial robotics, energy systems, autos, aeros, and defense. \n* If you worked at a larger hardware company before and saw any of these issues, we would love to talk just to learn from your experience\n* We would love product feedback: [book a demo](https://calendly.com/ac2zoom/30min)!",
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Basic things that work in the normal world just didn’t there: network activity was severely throttled so remote control and telemetry were difficult, and electronics would arc more easily, requiring additional protections. This mandated that we put together clear **product requirements** that we needed to integrate and validate across the entire implementation stack, which turned out to be so hard that we struggled to get our pods working in time and faced weeks of all-nighters just to fail review and be barred from the race! \n\nSince then, we’ve been searching for how large organizations we’ve been part of, like Tesla and Amazon, have made this easier: in truth, they haven’t! The most mature, most established industries, such as aerospace, account for this with **process**: intensive modeling, documentation, and data entry that **innovators don’t have time for**. When regulation and certification standards are put in place, **products are taken off the market or endure years-long delays**. \n\nWe created Saphira to empower these innovators to rapidly build complex products **that actually work**, all while achieving and maintaining compliance with the **evolving regulatory landscape**.\n\n\n\n# What does Saphira do?\n\nSaphira is a **single source of truth** where requirements, architecture, and tests can all be entered, parsed from existing documents, and tied together so that safety risks are identified and triaged quickly.\n\nSaphira is the easiest way to demonstrate **traceability**: regulatory reports by engineers that prove that requirements like “the Hyperloop pod must not catch fire in a vacuum chamber” were implemented and validated. These reports are painful and tedious to produce: by maintaining references to all the source information for them, Saphira can automatically generate them! Most importantly, Saphira removes systems engineers as a bottleneck to updating foundational engineering data, enabling any engineer to model and report on safety and compliance, making traceability easy for any fast-moving team.\n\n\n\nUltimately, we see traceability as not just a regulatory requirement but an enabler for automated engineering: as engineers define the relationships we use to sync data between, say, their codebase and task management system, this can be used to automatically propagate changes across an entire system! 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We are most interested in talking to leaders in industrial robotics, energy systems, autos, aeros, and defense. \n* If you worked at a larger hardware company before and saw any of these issues, we would love to talk just to learn from your experience\n* We would love product feedback: [book a demo](https://calendly.com/ac2zoom/30min)!",
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"title": "Forward Deployed Software Engineer",
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"title": "Defense tech Theseus landed Y Combinator, the US Special Forces, and $4.3M from a tweet | TechCrunch",
"url": "https://techcrunch.com/2025/04/17/defense-tech-theseus-landed-y-combinator-the-us-special-forces-and-4-3m-from-a-tweet/",
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"title": "Theseus: GPS Denied Navigation for Drones",
"tagline": "Our Visual Navigation System is a replacement for GPS that works with any drone.",
"body": "\n\nSix months ago we did a hackathon, this month we sold to SOCOM. Our Visual Navigation System (VNS) uses cameras, an inertial measurement unit, and pre-loaded satellite imagery to determine it’s position and send a fake GPS signal to any drone. Integrations typically take <30min.\n\n### How It Started\n\n\n\nIn February, [Carl](https://www.linkedin.com/in/carlscho) was a Senior at Stanford, [Sacha](https://linkedin.com/in/sacha-levy) was a PhD student at Yale, and [Ian](https://linkedin.com/in/ian-laffey-943200247) was working with a British celebrity. After our post went viral, we spent weeks talking with troops on the ground, drone manufacturers, and DoD.\n\nWe learned that:\n\n\\- The front lines of Ukraine are 100% GPS-denied\n\n\\- Cheap, DIY drones are extremely effective but typically rely on GPS\n\n\\- Existing GPS alternatives are extremely heavy and extremely expensive\n\nWe set out to create a low-cost, low-weight replacement for GPS that works with any drone.\n\n### How It’s Going\n\n\n\nOur first customer in the Special Forces has enabled us to push our VNS to its limits, and the results have been impressive. Here are a few excerpts from a memorandum written by the Captain we work with:\n\n_“Having tested the Theseus’ VizNav system for a week, I am convinced that their technology presents the best solution for a current, and ever-expanding urgent operational need.”_\n\n\n\n_“As a company, Theseus has shown a willingness to seek the ground truth from the operator and make improvements based on these recommendations immediately. The progress they have made with limited funding gives me incredible confidence that they act quicker and more efficiently than any other vendors we have worked with.”_\n\n\n\nDue to the sensitive nature of our product, technical details and customer-specific information in this post will be limited. We are happy to discuss results in more detail privately.\n\n### Going Forward\n\n\n\nAmerica is way behind. The current demand for drones in Ukraine is 1-2 million yearly. Every country in the world sees this and is in the process of building out its arsenal. Our product affordably enables an entirely new capability set for every one of these platforms.\n\nWe have sold units to multiple customers, have six-figure LOIs from large drone manufacturers, integrations scheduled, and eight figures in funding for our VNS requested by the DoD for FY25.\n\nThe West needs to build millions of drones, and all of those drones need Theseus.\n\n\n\n",
"url": "https://www.ycombinator.com/launches/Ln6-theseus-gps-denied-navigation-for-drones",
"votes": 57,
"created_at": "2024-09-04T22:35:57.651Z"
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"answer": "During his time in industry, Emiliano witnessed outdated control software and bad data review processes lead to multi-million dollar failures of critical path hardware. Frustrated with proprietary file formats, slow data pipelines, and unintuitive, complex tools like LabVIEW, he set out to built a modern control and data processing stack for hardware. Patrick and Elham were Emiliano’s first beta testers on the University of Michigan’s student rocketry team. They played an essential role in early iterations of the product, giving feedback through experience gained during their internships at SpaceX, NASA JPL, and MIT’s Lincoln Labs. Over time, their conviction in the problem Synnax is solving and the quality of the product grew. In early 2024, they joined forces as co-founders."
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"body": "### **Summary**\n\nTeams operating hardware from rockets to manufacturing lines use outdated, unintuitive control software that disregards the importance of rapid, quality data processing. This leads to unexpected downtime, disastrous anomalies, and delayed development.\\\n\\\n[Synnax](https://synnaxlabs.com) delivers a modern mission control stack with integrated data storage & processing. Wrap [LabVIEW](https://www.ni.com/en/shop/labview.html?cid=PSEA-7013q000001fLK5AAM-CONS-GOGSE_161597904920&utm_keyword=labview&gad_source=1&gclid=CjwKCAjwhvi0BhA4EiwAX25ujz2zA6xF3VRQaQaUKSnIWT-PQLXdmQGvejLgYkhZ7wgR4DdhgZxLyRoClgkQAvD_BwE#521715&s_kwcid=AL!6304!3!691563588228!b!!g!!labview), [Snowflake](https://www.snowflake.com/en/), and [Grafana](https://grafana.com/) into a single package, tune it for hardware, and you get Synnax.\n\n### **The Problem**\n\nWe’re a group of Aerospace Engineers hailing from NASA JPL, SpaceX, and Firefly Aerospace. (From left to right: [Patrick Dotson,](https://www.linkedin.com/in/patrick-dotson/) [Elham Islam](https://www.linkedin.com/in/elham-islam-/), and [Emiliano Bonilla](https://www.linkedin.com/in/emiliano-bonilla-8a0a95187/))\n\n\n\nWe’ve seen the best engineers blow up multi-million dollar systems because their mission control software didn’t give them a comprehensive picture of how their hardware was behaving. A director of test & launch operations once told our team:\n\n> It’s amazing what people guess at just because loading data is so hard\n\nTo put their quote in context, here’s what the leading aerospace control software, LabVIEW, shows as a UI screenshot on their landing page:\n\n\n\nRemember [Scratch](https://scratch.mit.edu/about) or [Lego Mindstorms](https://www.nxtprograms.com/help/learn.html) from elementary school? LabVIEW is kind of like that, except people use it to fly humans to space. LabVIEW and its cross industry counterparts (such as [AVEVA Scada](https://www.aveva.com/en/solutions/operations/scada/) and [Rockwell FactoryTalk](https://www.rockwellautomation.com/en-us/products/software/factorytalk.html)) were first developed in the 20th century and have evolved little since. These tools come with:\n\n* Outdated, unintuitive user interfaces\n* High price tags\n* Closed ecosystems with no integrations\n* Poor documentation\n* Expensive certifications\n\n**Most importantly, they disregard the importance of tightly integrated and automated data processing that drives the innovation of today’s software giants.** Most solutions spit out massive CSV files or mindlessly write data to an SQL table. They’re disorganized, difficult to locate, inaccessible to most engineers, and are challenging to integrate with analysis tools.\n\n### **Our Solution - The Product**\n\nAt Synnax, we’re building a modern alternative to tools like LabVIEW by developing tightly integrated hardware control, sensor data storage, and automated post-processing software. Here’s our UI:\n\n\n\nWe deliver:\n\n* Intuitive interfaces for humans to manually operate everything from automotive test stands to manufacturing lines.\n* Tools for categorizing and reviewing historical data.\n* Automated post-processing and report generation pipelines.\n* Direct integration with existing sensor systems so teams don’t need to buy new hardware.\n* A simple API for writing automated control sequences in Python, C++, and TypeScript.\n\nIt’s this easy to open a valve based on temperature in Synnax:\n\n\n\nHere’s a comparable sequence in LabVIEW:\n\n\n\n### **Our Solution - The Tech**\n\nWe’ve built one of the fastest time-series database engines available. Synnax can stream millions of samples per second in real time, making it possible to control systems with extremely tight timing requirements, such as starting a rocket engine.\n\n### **Our Solution - The Impact**\n\nBy bringing together hardware control and sensor data processing, organizations operating large, complex systems tighten the feedback loop between recording sensor data and using it to make actionable decisions.\n\nWith Synnax, teams:\n\n* Reduce risk by detecting and reacting to anomalies in real time.\n* Spend less time developing in-house data processing solutions.\n* Reduce the manual labor involved in extracting insights from sensor data.\n\n### **Our Asks**\n\nDo you work on hardware and need updated control software? Do you know someone who does? Let us know at [founders@synnaxlabs.com](mailto:founders@synnaxlabs.com).",
"url": "https://www.ycombinator.com/launches/LQj-synnax-the-software-infrastructure-for-operating-observing-complex-hardware",
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"full_name": "Ashi Dissanayake",
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\nI specialize in orbital mechanics and rocket propulsion systems. Previously, I worked on Aerodynamic models for NASA, built models for interplanetary transfers for an unmanned return mission to an asteroid in real time, and built rocket engines, payload structures, and recovery systems. ",
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"title": "Y Combinator grad Spaceium raises oversubscribed $6.3M for space re-fueling | TechCrunch",
"url": "https://techcrunch.com/2025/01/23/space-re-fueling-startup-spacium-raises-6-3-million/",
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"title": "Spaceium Partners Space Machines for Space Cryogenic Refuelling",
"url": "https://spacewatch.global/2024/01/spaceium-partners-space-machines-for-space-cryogenic-refuelling/",
"date": "Jan 16, 2024"
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"title": "Spaceium and The Exploration Company Partner for In-Space Servicing",
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"title": "🚀 Spaceium: Automated space stations that refuel and repair spacecraft in orbit",
"tagline": "Enabling deep space exploration through unmanned service stations.",
"body": "**TL;DR:** **Spaceium is building unmanned servicing stations in space to improve mission efficiency. Our stations will offer proprietary cryogenic fuel storage and transfer technology, enabling in-space refueling and providing robotic repair solutions, a capability that sets us apart. We aim to launch servicing stations in Low Earth Orbit in 2025 and expand to Geostationary Orbit, the Moon, and Mars by 2030.**\n\n\"Helping space explorers go \"where no man has gone before\" - Captain James T. Kirk :)\n\n**_ _** \n\nHi, everyone. We are [Ashi Dissanayake](https://linkedin.com/in/ashi-dissanayake) and [Reza Fetanat](https://linkedin.com/in/rezafetanat), the team behind [Spaceium](https://spaceium.com/).\n\n\n\n**Here's a brief introduction:**\n\n**Ashi** is an Aerospace Engineer specializing in **Orbital Mechanics and rocket propulsion.** Ashi has worked on real-time simulation models for uncrewed return missions to asteroids and on **NASA-related aerodynamics projects**.\n\n**Reza** is also a space enthusiast and a Mechanical Engineer specializing in **Robotics, structures, and Cryogenics**. Reza has worked on revitalizing the **LR-101 engine, which was used on Atlas, Thor, and Delta launch vehicles.**\n\nWe first met while leading the University of Ottawa's rocketry team, where we built high-powered rockets to send scientific payloads to different altitudes. In our spare time, we enjoyed working together to build rockets in the backyard, sometimes leading to interesting experiences with backyard fires. 🔥\n\nThroughout our careers, we've noticed the constraints on space missions due to the lack of ability to refuel or repair spacecraft in orbit. The current solutions are costly, and a centralized location where spacecraft can refuel and repair is a massive necessity. We are on a mission to build the missing piece of space infrastructure that connects the space superhighway, Just like how service stations were built on Earth back in the day!\n\n# **The problem**\n\nAll spacecraft and space missions face a standard set of challenges. Fuel is a limited and difficult resource to transport. In the event of a significant issue, spacecraft cannot be repaired in space. These challenges have significantly hindered efficiency in current space missions and have been a substantial obstacle in humanity's quest to explore space further. \n\nUnlike a road trip where refueling is common and convenient, spacecraft face a unique challenge. Spacecraft cannot refuel along the way. Instead, they must carry all the fuel required for the mission from Earth. **An overwhelming 85% - 95% of the launch weight is fuel on a typical launch vehicle, with 80-90% burned off to reach orbit.** 🚀\n\nAs a result, spacecraft that transport loads in space (space tugs) can only perform, **on average, 25% as many missions as they're technically capable of due to the absence of refueling in space.** 🛰️\n\nFurthermore, even if a spacecraft wanted to carry additional fuel, it is not easy. Current spacecraft require cryogenic fuels such as liquid oxygen, methane, and liquid hydrogen, which must be stored and transferred at extremely low temperatures of -285°F. 🥶 Environmental factors in space, such as heat and radiation, increase the temperature of these fuels, causing them to boil off (vaporize).\n\nIn addition, **there is no current solution for spacecraft repair**. This means that today's spacecraft must operate flawlessly to maximize efficiency, which is only sometimes the case. For instance, Eutelsat Communications' satellites experienced power loss mid-mission with no option for repair, resulting in a **$30 million** revenue loss. **With Spaceium's multifunction robotic arm, the communication satellite could have been fixed.** 🛠️\n\n# **Solution**\n\n_Automated servicing stations in space 🌎🚀🛰️_\n\nOur primary solution aims to improve space missions' efficiency by addressing refueling challenges. **The developed cryogenic fuel storage and transfer technology is designed to store fuel without any boil-off for multiple years in space.** As a result, spacecraft can now refuel in space, carry more payload, and travel longer distances.\n\nTwo fundamental principles guide our proprietary Zero Boil Off (ZBO) technology. \n\n* Firstly, we prevent heat from entering the system through a unique tank design, insulation, and coating system. \n* Secondly, our innovative multistage closed-loop cooling system evenly removes the heat from the cryogenic fuel and transfers it to radiators, ensuring zero boil-off.\n\n \n\nOur cryogenic storage system is not only efficient but also highly scalable. Our current cooling system is **65% more efficient** than any other cooling system, and our scalable storage system can store up to 30 metric tons of fuel, making it adaptable to a wide range of space missions and requirements.\n\nAfter successfully addressing the challenge of transporting large amounts of space fuel, we turned our attention to developing technology for delivering this fuel to spacecraft in space. This is achieved through the use of a **multifunction robotic arm**. This advanced arm can securely dock with incoming spacecraft and initiate the fuel transfer. **The fluid system built within the arm allows the transfer of different fuel types through the robotic arm**. The built-in thermal system ensures that fuel is transferred to the customer's spacecraft at the correct temperature without any boil-off issues associated with cryogenic fuels in space.\n\nAdditionally, the same robotic arm is versatile enough to handle non-cryogenic fuels as well, providing a comprehensive solution for refueling spacecraft in space.\n\nIn addition to safe and efficient fuel transfer, the robotic arm is equipped with an interchangeable end effector designed for in-space repairs. In-space repairs are achieved through a fully automated robotic arm that can retrieve tools from a stored \"toolbox\" within the system. This innovative feature ensures that even in the event of a significant issue, spacecraft can be repaired in space, minimizing the risk of mission failure and maximizing mission efficiency.\n\nOur vision is to transform the space industry. Starting in Low Earth Orbit (LEO), our servicing infrastructure will progressively expand to encompass Geostationary Earth Orbit (GEO), the moon, and eventually Mars. We are on a mission to empower space missions to go further, explore more, and achieve what was once deemed impossible.\n\n**Who can benefit from our service stations in space** \n\n* **Launch vehicles** \n* **Orbital transfer vehicles** \n* **Space tugs** \n* **Moon landers** \n* **Satellites**\n\n# **Ask**\n\n* **Feedback, comments, or questions.** Reach out to us to learn how we can help with your missions.\n* **Warm Intros.** If you know or work with any launch providers, space companies, or satellite providers who could benefit from our service, please introduce us to them. 🛰 \n* **Follow.** Follow us on [LinkedIn](https://www.linkedin.com/company/spaceium-inc), [X](https://x.com/SpaceiumInc). Cool news coming soon\n* **Share.** Please share this post with your network so we can reach more space companies looking for refueling, repairs, and other services for their future missions. 👾\n\n# Email us [HERE](mailto:founders@spaceium.com).\n\nThank you!",
"url": "https://www.ycombinator.com/launches/LDV-spaceium-automated-space-stations-that-refuel-and-repair-spacecraft-in-orbit",
"votes": 30,
"created_at": "2024-06-17T15:53:21.197Z"
}
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"question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
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"full_name": "Codrut Lemeni",
"title": "Founder/CEO",
"founder_bio": "Known for a very difficult name to pronounce - (\"Code\" + \"Roots).\n",
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"full_name": "Felix Gabler",
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"title": "Entry-Level Marketing Role - South Africa",
"url": "https://www.ycombinator.com/companies/educato/jobs/pWnbrA5-entry-level-marketing-role-south-africa",
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"url": "https://www.ycombinator.com/companies/educato/jobs/13RyE9z-entry-level-marketing-role-canada",
"location": "CA / Remote (CA)",
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},
{
"id": 106423,
"title": "Entry-Level Marketing Role - Austria",
"url": "https://www.ycombinator.com/companies/educato/jobs/k8p8pbU-entry-level-marketing-role-austria",
"location": "AT / Remote (AT)",
"type": "Full-time",
"role": "Marketing",
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},
{
"id": 106424,
"title": "Entry-Level Marketing Role - Switzerland",
"url": "https://www.ycombinator.com/companies/educato/jobs/QWfiXPz-entry-level-marketing-role-switzerland",
"location": "CH / Remote (CH)",
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"title": "Entry-Level Marketing Role - Belgium",
"url": "https://www.ycombinator.com/companies/educato/jobs/y6h5RHp-entry-level-marketing-role-belgium",
"location": "BE / Remote (BE)",
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},
{
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"title": "Entry-Level Marketing Role - Portugal",
"url": "https://www.ycombinator.com/companies/educato/jobs/iyVyGXm-entry-level-marketing-role-portugal",
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},
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"title": "Entry-Level Marketing Role - Poland",
"url": "https://www.ycombinator.com/companies/educato/jobs/TGcymHC-entry-level-marketing-role-poland",
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"role": "Marketing",
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},
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"id": 106428,
"title": "Entry-Level Marketing Role - Romania",
"url": "https://www.ycombinator.com/companies/educato/jobs/TiTuiK0-entry-level-marketing-role-romania",
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},
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"id": 106429,
"title": "Entry-Level Marketing Role - Japan",
"url": "https://www.ycombinator.com/companies/educato/jobs/VffQ9I9-entry-level-marketing-role-japan",
"location": "JP / Remote (JP)",
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},
{
"id": 106430,
"title": "Entry-Level Marketing Role - South Korea",
"url": "https://www.ycombinator.com/companies/educato/jobs/mDVgfO4-entry-level-marketing-role-south-korea",
"location": "KR / Remote (KR)",
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},
{
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"url": "https://www.ycombinator.com/companies/educato/jobs/9Co8kEx-entry-level-marketing-role-singapore",
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},
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"id": 106432,
"title": "Entry-Level Marketing Role - Brazil",
"url": "https://www.ycombinator.com/companies/educato/jobs/mJnAtIW-entry-level-marketing-role-brazil",
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{
"id": 106433,
"title": "Entry-Level Marketing Role - Mexico",
"url": "https://www.ycombinator.com/companies/educato/jobs/uTLF3H6-entry-level-marketing-role-mexico",
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"url": "https://www.ycombinator.com/companies/educato/jobs/pAoSsE6-entry-level-marketing-role-argentina",
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},
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"id": 106483,
"title": "Entry-Level Marketing Role - Philippines",
"url": "https://www.ycombinator.com/companies/educato/jobs/CdgubKj-entry-level-marketing-role-philippines",
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},
{
"id": 107033,
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{
"id": 108690,
"title": "US UGC Campaign Manager - (Canvas UGC Experience Highly Desirable)",
"url": "https://www.ycombinator.com/companies/educato/jobs/kLPWhjO-us-ugc-campaign-manager-canvas-ugc-experience-highly-desirable",
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},
{
"id": 110537,
"title": "Software Engineer - Product & AI",
"url": "https://www.ycombinator.com/companies/educato/jobs/wF2ZfSr-software-engineer-product-ai",
"location": "Bucharest, Bucharest, RO",
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},
{
"id": 110538,
"title": "GTM Generalist - Growth & Market Expansion",
"url": "https://www.ycombinator.com/companies/educato/jobs/BCsLoYh-gtm-generalist-growth-market-expansion",
"location": "Bucharest, Bucharest, RO",
"type": "Full-time",
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"id": 82200,
"title": "📚✨ Educato - Duolingo for every exam",
"tagline": "Exam prep for underserved students across the globe.",
"body": "**TL;DR:** Educato uses AI to create high-quality exam prep for underserved students worldwide. With 10 exams live and 5,000+ students across Europe, Asia, and South America already on board, we’re expanding fast. Reach out to build with us: [founders@educato.com.](mailto:founders@educato.ai)\n\nHi everyone, we’re Codrut, Felix, and Pierre-Louis and we’re building Educato.\n\n\n\n### **❌ The Problem**\n\n**Most exams don’t have any high-quality online prep material.**\n\nExams and certifications aren’t going anywhere, especially in an AI world where anyone can fake any homework assignment. Online exam prep has existed for decades, yet the big players all target the same top 10 exams in the US.\n\nThe reality is that many exams around the world—including some taken by hundreds of thousands of students each year—still lack high-quality online prep materials. As a result, students often turn to expensive private tutoring or mediocre resources, leading to poor learning outcomes.\n\n### **🔧 Our Solution**\n\nThe Educato platform allows us to quickly build high-quality adaptive learning experiences, **for any exam and geography**. We already offer prep for a diverse set of 10 exams across Europe, Asia, and South America, and are adding more every week.\n\n**Educato platform features**:\n\n* **High-quality content using AI**: Our models generate realistic exam questions from textbooks or past exams, with human-in-the-loop validation, linked to the original content\n* **Unique student experience**: Cutting edge features including personalized learning paths, AI essay grading with individualized feedback, and live simulation tests with peers\n* **Detailed analytics**: Leverage interactive tools and adaptive assessments to enhance student engagement, improve learning outcomes, and identify areas for improvements\n\nSee the platform in action here:\n\n\n\n### **💙** **Our Progress**\n\nEducato already supports 5000+ students, preparing them for exams such as:\n\n* 🇷🇴 Romanian Medical Residency\n* 🇮🇳 Indian Civil Service Exam\n* 🇵🇪 Peruvian San Marcos University Exam\n* 🇦🇷 Argentinian Medical Unico\n* \\+ 6 more\n\nWe’re currently adding 10 more exams and are looking for partners to expand our offering further. Calling all entrepreneurial educators to help us transform education and improve student outcomes - please reach us at [founders@educato.com](mailto:founders@educato.com).",
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"created_at": "2024-08-18T04:47:03.000Z"
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"title": "ProhostAI 🏨 AI Employees for Property Management and Hospitality",
"tagline": "Meet ProhostAI — AI employees that answer guests, take calls, coordinate cleanings, create tasks, build guidebooks, and run hospitality operations from one AI-native OS.",
"body": "Hi YC! I’m Bill from the ProhostAI team.\n\n**TL;DR:** We're launching AI employees for property management and hospitality. They answer guests, take calls, coordinate cleanings, create tasks, build guidebooks, drive bookings, and help run operations — from one AI-native OS. 8,000+ properties on the platform today. Founded by a team from Airbnb, Dropbox, and Guesty (Harvard + Yale) — and we're property managers ourselves, running a $12M AUM portfolio. Backed by Y Combinator, Pear VC, and other investors. [Try it →](https://prohost.ai/ai-employees)\n\n\n\n## The problem\n\nProperty management and hospitality teams still run operations through a tangled stack: inboxes, PMS tools, spreadsheets, phone calls, manual coordination, and a dozen point solutions that don't talk to each other.\n\nThe \"AI\" in this space today is mostly chatbots that answer guest messages. That's a feature, not a workforce.\n\n## What we built\n\nProhostAI's AI employees do real operational work — alongside the humans running the business. They can:\n\n* **Answer guests** across Airbnb, Vrbo, [Booking.com](http://Booking.com), SMS, WhatsApp, email — omnichannel and context-aware\n* **Take and place phone calls**\n* **Create and assign tasks** to teammates\n* **Coordinate cleaners** and schedule turnovers\n* **Power guidebooks** for properties and businesses\n* **Drive bookings and upsells**\n* **Keep human teammates aligned** across operations\n* **Run AI workflows** across the operational lifecycle\n\nOne AI-native OS — built so human teams and AI employees can work side by side.\n\n## The AI employees available for hire:\n\nOur AI employees are available across different professions:\n\n* **Gabby** — Guest Experience Manager\n* **Claudia** — Cleaning Manager\n* **Miles** — Maintenance Manager\n* **Rex** — Revenue Optimizer and PriceLabs auditor\n* **Owen** — Owner Relations Manager\n* **Regina** — Reputation Manager\n* **Grace** — Guidebook Manager\n* **Finn** — Finance Manager\n* **Quinn** — Quality Inspector\n* **Gina** — General Manager\n* **Vera** — Virtual Assistant\n\nHire the ones you need; add more as you scale.\n\n## MCP — bring your own agents\n\nWe ship an MCP (Model Context Protocol) server, so other AI agents — Claude, ChatGPT, custom in-house agents — can collaborate directly with the ProhostAI AI employees. If you've already built AI workflows, plug them in instead of starting over.\n\n## Why now\n\nThe next generation of hospitality companies will be run by human teams working side by side with AI employees. We're starting with short-term rentals because the work is high-volume, repetitive, and deeply operational — exactly where AI teammates make an immediate difference.\n\nFrom there: vacation rental managers, boutique hotels, broader hospitality and property operations.\n\n## Traction\n\nProhostAI now supports **8,000+ properties on the platform**, including paid customers and operators using our feature-rich free plan. Founded by a team from **Airbnb, Dropbox, and Guesty** (Harvard + Yale alumni) — and we're property managers ourselves, running a **$12M AUM short-term rental portfolio**. We use ProhostAI every day. Backed by **Y Combinator, Pear VC, and other investors**.\n\n## Our backstory\n\nWe've been deep in this space and have watched operators copy-paste the same messages thousands of times, miss calls overnight, lose cleanings to chaos, and string together five tools to do what one OS should handle. We built ProhostAI to make AI employees the new labor layer for hospitality — not another dashboard, not another inbox.\n\n## Our ask\n\n* **If you run STR, vacation rentals, or hospitality ops** — connect Airbnb or your PMS and your first AI employee can start helping in minutes: [prohost.ai/ai-employees](https://prohost.ai/ai-employees)\n* **If you know property managers, hosts, or hospitality teams** who'd benefit — please share or intro\n* **If you want to chat** — DM me on Bookface or email [bill@prohost.ai](mailto:bill@prohost.ai)\n* **For press/media:** [press kit (logos, screenshots, GIFs)](https://drive.google.com/drive/folders/1kQEauMZYT4H-fXADYS9bNvgHQ1AjBN7q?usp=sharing)\n\nThanks YC 🚀\n\n— Bill & the ProhostAI team",
"url": "https://www.ycombinator.com/launches/QVu-prohostai-ai-employees-for-property-management-and-hospitality",
"votes": 3,
"created_at": "2026-05-25T14:48:51.997Z"
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"title": "ProhostAI - AI property manager for Airbnb hosts",
"tagline": "AI property manager assistant for hosts on Airbnb and other booking platforms.",
"body": "[**ProhostAI**](https://www.prohost.ai/) **is an AI property manager assistant for hosts on Airbnb and other booking platforms.** We run 9 Airbnb properties as Superhosts (4.99+ rating) worth $15M, and our AI automations have already cut our own costs by 30% and automated 70% of guest communications.\n\n**Our key features:**\n\n* **AI for Guest Communications:** AI agent drafts responses to every guest message\n* **AI for Maintenance Ticketing & Cleaning Management**\n* **AI for Revenue Generation** with automated guest upsells\n\nAll of this with a first class mobile app, because most hosts manage their properties from their phones!\n\n\n\n### Our Founding Team\n\n[**Bill**](https://www.linkedin.com/in/bulam/)\n\n* **Bill was a Staff Data Scientist, Algorithms at Airbnb for 6+ years, building AI & ML products** \n * 3 AI patents for products implemented at Airbnb that drove hundreds of millions in revenue\n* 9+ years total in data science (Etsy, Wayfair, Thumbtack)\n* Undergrad from Harvard\n\n[**Andrew**](https://www.linkedin.com/in/aeriklawson/)\n\n* **Andrew was a Sr Software Engineer at Dropbox for 6+ years,** working on their API Platform handling millions of requests per second \n* 9+ years as a software engineer\n\nWe are Airbnb hosts with 9 properties, 4.99+ ratings across 1000+ guest reviews, and $1.5M/yr revenue. We've been hosts for 5+ years.\n\n### Why we are building ProhostAI\n\n* **70% of things a host has to do can be automated with no intervention today**\n * Guest communications, cleaning coordination & communication, and maintenance ticket management are repetitive and simple tasks ripe for automation with LLMs and AI agents with a high-quality mobile-first experience.\n* **80%+ of hosts use no SaaS tools yet** but are ready to professionalize their operations with better tools.\n* **Airbnb hosts are digitally native, working from their mobile phones all the time**, and highly likely to adopt new technologies to improve their operations.\n* **SaaS for hosts is a $5B market** with 10 million short-term rental listings globally!\n\n\n\n## **🚀Asks**\n\n1. **If you are a host, join our waitlist at** [**prohost.ai**](https://www.prohost.ai) or shoot me an email at [bill@prohost.ai](mailto:bill@prohost.ai)!\n2. **Share our website with others hosts** and have them join our waitlist!\n3. **Follow us on **[**LinkedIn**](https://www.linkedin.com/company/prohostai/)** and **[**X**](https://x.com/prohostAI)**.**\n4. **If you are using Hostaway or Guesty for Pros to manage your properties,** we can get you set up right away! Sign up for a free trial [**here**](https://app.prohost.ai/register) or [**book a demo**](https://calendly.com/bill-prohost/prohostai-demo) ",
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"votes": 35,
"created_at": "2024-09-04T15:36:31.502Z"
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"id": 82522,
"title": "Genie — The best AI sidekick for kids",
"tagline": "A conversational AI companion that can create generative art, play games, write stories and talk with kids in a safe & age-appropriate way.",
"body": "Hi, we’re Darius and Asa. We're friends, dads, go-karting rivals, and the cofounders of [Genie](https://www.Genie.gg) — the best AI sidekick for kids. Genie is a conversational AI that encourages creative play and guides kids through the Genieverse, the future of games, media, and social for kids.\n\n**Download our app at:** [**http://genie.gg/app**](http://genie.gg/app)\\\nVisit us at: [www.Genie.gg](http://www.Genie.gg)\n\n**The Genie Team**\n\n[Asa](https://www.linkedin.com/in/asamiller/) and [Darius](http://linkedin.com/in/dariusmonsef) previously cofounded [BraveCare.com](http://BraveCare.com) (YC S19), which raised $40M in funding and enabled more than 50k urgent care visits for kids who were sick or injured— during the pandemic and the recovery years— all while delivering a care experience that maintained a nearly 5-Star score across thousands of reviews.\n\nDarius’ first time through YC was in W10 with [CreativeMarket.com,](http://CreativeMarket.com) which led to an acquisition by Autodesk in ’14. He also cofounded Sightbox, a DTC contact lens service that was acquired by Johnson & Johnson in ’17.\n\n\n\n**Our vision for a better internet for kids**\n\nAs a father, I want to protect my kids at all times and everywhere they go in the world, and in reality, I can’t. But I can build an AI that keeps them safe everywhere they go online and create a “digital Disneyland” for them to play, explore, and connect in.\n\nLike Jarvis to Ironman, Sox to Buzz Lightyear, or Baymax to Hiro, a child is the hero of their own story, and we’re building them the ultimate sidekick. An AI buddy that has their back in the online world, encourages creative play and helps them learn about anything, at any time, in an age-appropriate way.\n\nSoon, hundreds of millions of kids across the globe will connect on the next platform that’s foundationally powered by AI. We’ve seen it coming for a while, and we’re already building that new space… the Genieverse!\n\n\n\n**Do something fun with Genie today**\n\n**Create**\\\nGenie is an always-kind, supportive & friendly AI agent that can co-create free-form generative art with kids, and they can create thru other art modes like the “Crazy Food Lab” or “Muppet Monsters.”\n\n**Play**\\\nGenie can also build incredibly imaginative story worlds where kids decide what happens next or play logic puzzles or word games designed to spark kids’ creative and critical thinking. Genie also knows that kids should have time off of their screens and be active out in the world. When there is available screen time, we built Genie to be engaging and creative.\n\n**Learn**\\\nThe internet is an incredible wealth of knowledge and information, but browsers are binary about whether a kid has access to everything… or nothing. Genie is a safe resource for kids who are curious about the world around them. Sometimes a trusted adult isn’t available to ask, or kids feel weird about asking, so Genie makes sure that tricky questions are answered in kind and age-appropriate ways.\n\n**Find “**[**Genie.gg**](http://Genie.gg)**” on the App Store** or click here: [**http://genie.gg/app**](http://genie.gg/app)",
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{
"title": "Hamming AI Raises $3.8M Seed Round | Hamming AI Blog",
"url": "https://hamming.ai/blog/hamming-ai-seed-funding-to-make-voice-agents-more-reliable",
"date": "Dec 18, 2024"
},
{
"title": "Hamming.ai raises $3.8 million for AI voice agent testing platform",
"url": "https://www.axios.com/pro/media-deals/2024/12/18/hamming-ai-voice-agent-testing",
"date": "Dec 18, 2024"
}
],
"launches": [
{
"id": 82717,
"title": "🕵️ Hamming - Automated AI voice agent testing",
"tagline": "AI voice agent reliability platform: AI voice agent testing, prompt tuning, evals, call analytics",
"body": "👋 [@Sumanyu Sharma](https://www.linkedin.com/in/sumanyusharma) and [@Marius Buleandra](https://www.linkedin.com/in/mariusbuleandra) from [@Hamming AI](https://www.ycombinator.com/companies/hamming-ai)\n\n**TLDR:** Are you testing your voice agents by hand? We're launching [Automated AI voice agent testing](https://app.hamming.ai/voice-demo) to automatically test your voice agents and flag quality issues in development and production.\n\n🌟 [Click here to try our free Voice Simulations Demo](https://app.hamming.ai/voice-demo) 🌟\n\n## Problem: Making voice agents reliable feels like whack-a-mole\n\nHere's the workflow most teams follow:\n\n1. **Call** your voice agent by hand and find bugs. Slow and ad-hoc.\n2. **Tweak** your voice agents by adding new tools and changing the prompts or models to fix the bugs.\n3. **Call again** to see if the changes worked.\n4. **Detect** regressions when users complain of things breaking in production.\n5. **Repeat** steps 1 to 4 until you get tired.\n\n**Calling your voice agent & finding bugs** is the slowest & most painful part of the feedback loop. This is what we automate.\n\n## Our take: Character AI for voice testing\n\nWe create hundreds of characters that simulate how **real users interact with your voice agents** in real life. For every call, we measure whether our character successfully accomplishes the task (e.g., ordering a vegan burger, canceling next week’s appointment, etc.).\n\nOur automated AI voice agent testing approach is 100x faster, cheaper, and more thorough than manual testing.\n\n\n\n### Flag errors & Tag calls in production\n\nYou can log all call transcripts and traces within Hamming. We actively **tag your production calls** in real-time, and flag cases the team needs to double-click on. This helps engineering teams quickly prioritize cases they need to fix.\n\n**Example tags**: human detects that the bot is an AI, a follow-up call is needed, the user requested an urgent appointment, etc.\n\n\n\n### Test new changes quickly\n\n**Simulation-driven development**\n\nLet’s imagine you’re building an agent called ‘YC Founder’; we can spin up 100s of VC agents who will try to distract you. You can edit the prompts or models and re-run the simulation to make sure you made progress.\n\nWant to see how you would handle a persistent investor? Try our ‘VC trying to distract founders’ free [demo here](https://app.hamming.ai/voice-demo).\n\n\n\n**Easily create new characters from call transcripts**\n\nWhen customers complain about a bad call, you can locate the call transcript and create a new character in one click. Make a change to your prompt, and then run the simulations to ensure you addressed the bad call.\n\n\n\n## Meet the team\n\n[Sumanyu](https://www.linkedin.com/in/sumanyusharma/) previously helped Citizen (safety app; backed by Founders Fund, Sequoia, 8VC) grow its users by 4X and grew an AI-powered sales program to $100s of millions in revenue/year at Tesla.\n\n[Marius](https://www.linkedin.com/in/mariusbuleandra/) previously ran data infrastructure @ Anduril, drove user growth at Citizen with Sumanyu and was a founding engineer @ Spell (MLOps startup acquired by Reddit).\n\n\n\n# Summary\n\nWe previously launched [Prompt Optimizer](https://www.ycombinator.com/launches/L4V-hamming-let-ai-optimize-your-prompts-free-for-7-days) and [AI Experimentation Tools](https://www.ycombinator.com/launches/LHa-hamming-make-your-rag-ai-agents-reliable) to automate prompt engineering and make RAG pipelines more robust. In this launch, we show how you can test your voice agents quickly.\n\n\n\n# Our offer\n\n**Personalized characters + 100 free calls.** Struggling to make your voice agents reliable? We’ll create personalized characters and call + stress test your system \\~100 times for free. Book time with us [here.](https://calendly.com/sumanyusharma/1-1-debug-session)\n\nQuestions? Email us [here](mailto:sumanyu@hamming.ai) or chat with us [here](https://calendly.com/sumanyusharma/30min).",
"url": "https://www.ycombinator.com/launches/LW9-hamming-automated-ai-voice-agent-testing",
"votes": 57,
"created_at": "2024-08-05T01:45:12.663Z"
},
{
"id": 81814,
"title": "🚀 Hamming - Make your RAG & AI agents reliable",
"tagline": "The only end-to-end AI development platform you need: prompt management, evals, observability",
"body": "👋 [@Sumanyu Sharma](https://www.linkedin.com/in/sumanyusharma) and [@Marius Buleandra](https://www.linkedin.com/in/mariusbuleandra) from [@Hamming AI](https://www.ycombinator.com/companies/hamming-ai)\n\n**TLDR:** Are you struggling to make your RAG & AI agents reliable? We're launching our [AI Optimization Platform](https://app.hamming.ai) to help eng teams speed up iteration velocity, root-cause bad AI outputs, and prevent regressions.\n\n🌟 [Click here to try our AI Optimization Platform](https://app.hamming.ai) 🌟\n\n## Our thesis: Experimentation drives reliability\n\nPreviously, [Marius](https://www.linkedin.com/in/mariusbuleandra/) and I ran growth-focused eng and data teams at Tesla, Citizen, Spell & Anduril. We learned that running experiments is the best way to move a metric. More experiments = more growth.\n\nLast year, we shipped 10+ RAG & AI agents to production. We found the same pattern holds when building reliable AI products. More experiments = more reliability = more retention for your AI products.\n\n\n\n## Problem: Making RAG and AI agents reliable feels like whack-a-mole\n\nHere's the workflow most teams follow:\n\n1. **Tweak** your RAG or AI agents by indexing new documents, adding new tools, changing the prompts, models or other business logic.\n2. **Eyeball** how well your changes improved a handful of examples you wanted to fix. Often ad-hoc and slow.\n3. **Ship** the changes if they worked.\n4. **Detect** regressions when users complain of things breaking in production.\n5. **Repeat** steps 1 to 4 until you get tired.\n\nSteps 2 and 4 are often the slowest & most painful parts of the feedback loop. This is what we tackle.\n\n## Our take: Use LLMs as judges to speed up iteration velocity\n\nWe use LLMs to score the outputs of other LLMs. This is the fastest way to speed up the feedback loop.\n\n\n\n\n\n### Flag errors in production before customers notice\n\nWe go beyond passive LLM / trace-level monitoring. We actively **score your production outputs** in real time and **flag cases** the team needs to double-click on. This helps eng teams quickly prioritize cases they need to fix.\n\n\n\n### Test new changes quickly while developing and prevent regressions from reaching users\n\nWe make offline evaluations easy, so you can change your system and get feedback in minutes.\n\n**Eval-driven prompt iteration**\n\nRapidly iterate with new prompts and models in our prompt playground with first-class support for function-calling. Run evals so you know your changes are improving things.\n\n\n\n**Deploy prompt changes without code change**\n\nWe keep track of all prompt versions and update your prompts on the fly without needing a code change.\n\n\n\n**Easily create golden datasets**\n\nOffline evaluations are bottlenecked on a high-quality golden dataset of input/output pairs. We support converting production traces to dataset examples in one click.\n\n\n\n**Diagnose between retrieval, reasoning or function-calling errors quickly**\n\nDifferentiating between retrieval, reasoning, and function-calling errors is time-consuming. We score each retrieved context on metrics like hallucination, recall, and precision to help you prioritize your eng efforts where it matters.\n\n\n\n**Override AI scores**\n\nSometimes our AI scores disagree with your definition of \"good\". We make it easy to override our scores with your preferences. Our AI scorer learns from your feedback.\n\n\n\n## Meet the team\n\n[Sumanyu](https://www.linkedin.com/in/sumanyusharma/) previously helped Citizen (safety app; backed by Founders Fund, Sequoia, 8VC) grow its users by 4X and grew an AI-powered sales program to $100s of millions in revenue/year at Tesla.\n\n[Marius](https://www.linkedin.com/in/mariusbuleandra/) previously ran data infrastructure @ Anduril, drove user growth at Citizen with Sumanyu and was a founding engineer @ Spell (MLOps startup acquired by Reddit).\n\n\n\n## Our offer\n\nWe previously launched [Prompt Optimizer](https://www.ycombinator.com/launches/L4V-hamming-let-ai-optimize-your-prompts-free-for-7-days) on launch YC, which saves 80% of manual prompt engineering effort. In this launch, we show how teams use Hamming to build reliable RAG and AI agents.\n\n\n\n**Free 1:1 Debug session.** Struggling with making your RAG/agents reliable? We're offering a complementary 1:1 RAG/agent debugging session. Book time with us [here.](https://calendly.com/sumanyusharma/1-1-debug-session)\n\nQuestions? Email us [here](mailto:sumanyu@hamming.ai) or chat with us [here](https://calendly.com/sumanyusharma/30min).",
"url": "https://www.ycombinator.com/launches/LHa-hamming-make-your-rag-ai-agents-reliable",
"votes": 118,
"created_at": "2024-06-28T01:28:56.750Z"
},
{
"id": 81003,
"title": "🚀 Hamming - Let AI optimize your prompts (free for 7 days)",
"tagline": "Automate 90% of manual prompt engineering using our self-improving prompt optimizer.",
"body": "👋 Sumanyu and Marius from [Hamming AI](https://www.ycombinator.com/companies/hamming-ai); we're part of the upcoming S24 batch!\n\n**TLDR:** Are you spending a lot of time optimizing prompts by hand? We're launching our [Prompt Optimizer](https://app.hamming.ai/prompt-optimizer) (new feature in beta) to automate prompt engineering. It's completely free for 7 days!\n\n🌟 [Click here to try our Prompt Optimizer](https://app.hamming.ai/prompt-optimizer) 🌟\n\n## Convert your task into an optimized prompt in minutes\n\n\n\n**Thought experiment:** What if we used LLMs to optimize prompts for other LLMs?\n\n\n\n## Problem: Writing prompts by hand is tedious\n\nWriting high-quality and performant prompts by hand requires enormous trial and error. Here's the usual workflow:\n\n1. **Write** an initial prompt.\n2. **Measure** how well it performs on a few examples in a prompt playground. Bonus points if you use an experimentation platform like [Hamming](https://hamming.ai) to automate this flow.\n3. **Tweak** the prompt by hand to handle cases where it's failing.\n4. **Repeat** steps 2 & 3 until you get tired of wordsmithing.\n\nWhat's worse, new model versions often break previously working prompts. Or, say you want to switch from OpenAI GPT3.5 Turbo to Llama 3. You need to re-optimize your prompts by hand. ❌\n\n## Our take: use LLMs to write optimized prompts\n\nDescribe your task, add examples, or let us synthetically create some, and click run.\n\n\n\nBehind the scenes, we use LLMs to generate different prompt variants. Our LLM judge measures how well a particular prompt solves the task. We capture outlier examples and use them to improve the few-shot examples in the prompt. We run several \"trials\" to refine the prompts iteratively.\n\n**Benefits:**\n\n* No more tedious word-smithing.\n* No more scoring outputs by hand.\n* No need to remember to tip your LLM or ask it to think carefully step-by-step.\n\n## Meet the team\n\n[Sumanyu](https://www.linkedin.com/in/sumanyusharma/) previously helped Citizen (a safety app; backed by Founders Fund, Sequoia, 8VC) grow its users by 4X and grew an AI-powered sales program to $100s of millions in revenue/year at Tesla.\n\n[Marius](https://www.linkedin.com/in/mariusbuleandra/) previously ran data infrastructure @ Anduril, drove user growth at Citizen with Sumanyu, and was a founding engineer @ Spell (an MLOps startup acquired by Reddit).\n\n\n\n## Our ask\n\nIn this launch, we showed how we help teams optimize each prompt. In our next launch, we'll walk through how teams use Hamming to optimize their entire AI app.\n\n* **Feedback.** We want you to throw real-world tasks at our optimizer and tell us what's working and where we can improve.\n* **Warm intros.** We'd love intros to anyone you know who writes a lot of prompts by hand or cares about solving AI reliability (including you!)\n\n\n\n## Email us [here](mailto:sumanyu@hamming.ai).\n\n## Book time on our [calendly](https://calendly.com/sumanyusharma/30min).",
"url": "https://www.ycombinator.com/launches/L4V-hamming-let-ai-optimize-your-prompts-free-for-7-days",
"votes": 84,
"created_at": "2024-05-21T16:25:15.789Z"
}
]
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"name": "mdhub",
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"all_locations": "San Francisco, CA, USA",
"long_description": "mdhub is the AI-native operating system for behavioral health. \r\n\r\nWe combine AI workers with a purpose-built EHR, CRM, and RCM into one platform where clinical teams and AI collaborate across every workflow.\r\n\r\nMid to large-sized behavioral health clinics run on disconnected legacy systems that weren't designed for today's demand. The result: clinician burnout, admin bloat, and patients waiting weeks for care. mdhub replaces the entire fragmented stack with a single AI-first platform.\r\n\r\nOur AI workers:\r\n\r\nEmma, AI Clinical Assistant: automates documentation and gives clinicians back hours every day.\r\nSarah, AI Admissions Coordinator: handles 100% of inbound calls, verifies insurance, and books patients 24/7.\r\nEric, AI Billing Agent: manages coding, claims submission, and denial management same-day.\r\n\r\nOur platform:\r\n\r\nmdhub EHR: the first clinical workspace built for AI from day one. Documentation, intake, treatment planning, e-prescribing, and billing in one place.\r\nmdhub CRM: every lead captured, every follow-up automated, nothing falls through the cracks.\r\nmdhub RCM: end-to-end revenue cycle management. From claim submission to collections, AI-powered and fully integrated.\r\n\r\nWe're not another EHR with AI bolted on. We're not a point solution. We're the full operating system where AI workers and human teams run a clinic together. Hundreds of mid to large-sized behavioral health clinics use mdhub today, including some of the largest organizations in the country. One platform, less overhead, more patients seen.",
"one_liner": "AI-native operating system for behavioral health clinics.",
"team_size": 25,
"industry": "Healthcare",
"subindustry": "Healthcare",
"launched_at": 1720483554,
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"America / Canada",
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"year_founded": 2023,
"city": "San Francisco",
"country": "US",
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"primary_partner": {
"name": "Garry Tan",
"url": "https://www.ycombinator.com/people/garry-tan"
},
"founders": [
{
"user_id": 1803359,
"full_name": "Dominik Middelmann",
"title": "Founder/CEO",
"founder_bio": "Co-founder & CEO of mdhub. Previous Director Product Ops @ TIER Mobility. Previously @ BCG",
"is_active": true,
"linkedin_url": "https://www.linkedin.com/in/dominik-middelmann-01232378/",
"x_url": "",
"avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/19867c0fcdbff68d039945a3e859349e22ad2814.jpg"
},
{
"user_id": 1230660,
"full_name": "Efren A. Lamolda",
"title": "Founder/CTO",
"founder_bio": "On a mission to revolutionize mental health care with mdhub, I'm driven by the belief that technology can make mental health support accessible and affordable for everyone, everywhere. At the core of my work is a passion for creating impactful products that address real-world challenges in vital sectors.",
"is_active": true,
"linkedin_url": "https://linkedin.com/in/efrenal",
"x_url": "https://twitter.com/ealamolda",
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"jobs": [
{
"id": 86421,
"title": "Growth Strategist",
"url": "https://www.ycombinator.com/companies/mdhub/jobs/N54VfuH-growth-strategist",
"location": "San Francisco, CA, US",
"type": "Full-time",
"role": "Marketing",
"role_type": null,
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"experience": "3+ years",
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{
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"title": "Forward Deployed Engineer",
"url": "https://www.ycombinator.com/companies/mdhub/jobs/pZxi9cF-forward-deployed-engineer",
"location": "San Francisco, CA, US",
"type": "Full-time",
"role": "Engineering",
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{
"id": 92728,
"title": "Deployment Strategist",
"url": "https://www.ycombinator.com/companies/mdhub/jobs/SDArg7Y-deployment-strategist",
"location": "San Francisco, CA, US",
"type": "Full-time",
"role": "Operations",
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"equity_range": "",
"experience": "3+ years",
"visa": "US citizen/visa only",
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},
{
"id": 92729,
"title": "Account Executive",
"url": "https://www.ycombinator.com/companies/mdhub/jobs/NdkIJkM-account-executive",
"location": "San Francisco, CA, US",
"type": "Full-time",
"role": "Sales",
"role_type": null,
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{
"id": 99049,
"title": "mdhub - AI native operating system for behavioral health clinics",
"tagline": "🚀 mdhub just shipped the full stack. ",
"body": "**mdhub just shipped the full stack.**\n\nWe started mdhub with a simple belief: the biggest barrier to behavioral health care isn't the shortage of great clinicians. It's the broken infrastructure they're forced to work with.\n\nClinics run on five disconnected systems stitched together with duct tape. One for scheduling. One for documentation. One for billing. One for admissions. One for patient communication. None of them talk to each other. Clinicians waste hours every day navigating this mess instead of seeing patients.\n\nToday, mdhub is the first AI-native operating system for behavioral health clinics. One platform where AI workers and clinical teams work together across admissions, clinical operations, and billing. Your AI workforce and AI-native EHR, in one\n\n**Here's how we got here.**\n\nEmma, our AI clinical assistant, has been used in over 3 million patient sessions across more than 1 million patients this past year. That's 500,000+ hours of admin work given back to clinicians. Hours they now spend seeing patients.\n\nSarah, our AI admissions coordinator, has booked over 100,000 patients into care. She handles 100% of inbound calls and texts for clinics, 24/7. She verifies insurance in real time, completes intake before the first appointment, and books patients in minutes, not days. Clinics using Sarah are booking 30% more new patients without adding a single person to their front desk. \n\nEric, our AI billing agent, 10x billing teams, handling coding, claims submission, and denial management. Same-day claim submission. Higher accuracy than manual teams.\n\n**Today we're launching three new products.**\n\n**mdhub EHR**: a clinical workspace built from the ground up for AI, not retrofitted. Documentation, intake, treatment planning, e-prescribing, billing all in one place. \n\n**mdhub CRM**: admissions pipeline management where nothing falls through the cracks. Every lead was captured. Every follow-up is automated. First response time drops from 48 hours to 5 minutes. Clinics are converting 3x more leads without adding headcount. \n\n**mdhub RCM**: end-to-end revenue cycle management. From claim submission to collections, AI-powered and fully integrated.\n\n**Why this matters:**\n\nBehavioral health clinics can now run admissions, clinical operations, and billing in one place where their human team and AI workers collaborate across every workflow. No more logging into five systems. No more data falling between the cracks. No more choosing between an EHR that can't do billing and a billing tool that can't do clinical work. One platform that lets clinics scale with AI workers and an AI-native OS, not more headcount.\n\nOne platform. Human teams and AI workers, working together.\n\nmdhub. Better operations. Elevated care.\n\n👉[Book a demo](https://calendly.com/liza-mdhub/30min).",
"url": "https://www.ycombinator.com/launches/PlZ-mdhub-ai-native-operating-system-for-behavioral-health-clinics",
"votes": 10,
"created_at": "2026-03-25T17:31:18.690Z"
},
{
"id": 90382,
"title": "mdhub - AI agents for mental health clinics",
"tagline": "We’re building AI agents to power the next generation of healthcare clinics - starting with mental health.",
"body": "**tl;dr**\n\nToday, we’re excited to introduce Sarah, our 24/7 AI Admissions Coordinator.\n\nSarah qualifies new leads and books intakes automatically, helping clinics boost new patient volume by up to 30%. She manages 100% of inbound calls - handling follow-ups, reschedules, and medication refill requests - ensuring no message ever falls through the cracks.\n\nWith Sarah, clinics stay responsive and scalable - no extra hires, no added overhead.\n\nhttps://www.youtube.com/watch?v=_9O_z1MqhCQ\n\n**Our Journey**\n\nWe’re Dominik and Efren, on a mission to make mental healthcare accessible and affordable for everyone, everywhere. We met in 2018 while scaling a hyperscale startup - Efren as a founding engineer, and Dom as the first operator after starting his career at BCG. Since then, we’ve been building together, driven by a shared belief that AI and data will radically improve how patient care is delivered.\n\n**The Problem**\n\nNearly 50 million Americans live with a mental health condition and that number grows by 1.5 million each year. Meanwhile, the U.S. is facing a growing shortage of 30,000 mental health clinicians, making it harder to meet rising demand.\n\nBut the real crisis isn’t just the clinician shortage - it’s that the antiquated, fragmented systems around them can’t keep up.\n\nEven when providers are available, clinics struggle to manage the load. Intake calls go unanswered. Reschedules and refill requests fall through the cracks. Front desk staff are buried under hundreds of voicemails, forms, and follow-ups every week. Clinicians themselves spend more than half their time on documentation and admin, not with patients.\n\nThis operational drag is a massive bottleneck. Patients wait weeks for care, staff burn out, and clinics lose revenue on missed appointments and delayed treatment.\n\nThe result is a fragmented system that costs the U.S. healthcare system $300 billion annually due to delayed treatment, poor access, and administrative inefficiencies.\n\n**The Solution**\n\nOne year ago, we launched our AI Clinical Assistant to help clinicians reclaim their time by automating clinical documentation, pre-charting, and treatment planning. It's now been used in over 1 million patient sessions.\n\nNow we’ve launched Sarah, our AI Admissions Coordinator, to help patients access care faster by eliminating missed calls, delays, and administrative friction.\n\nSarah answers every call instantly, 24/7, no voicemails, no hold music. She qualifies new patients and books intakes, while also managing reschedules, cancellations, med refill requests, and appointment confirmations for existing patients.\n\nClinics using Sarah have seen up to a 30% increase in new patient bookings, while ensuring that 100% of existing patient inquiries are handled, without adding headcount.\n\n**The Future We Are Building**\n\nWe believe the future of care will be driven by AI-first teams, where clinicians are surrounded by AI agents that handle everything outside the session, so they can focus on what matters most: seeing patients.\n\nBut we’re not just building the agents, we’re building the workspace where they collaborate, hand off tasks, and get things done.\n\n**How You Can Help**\n\nIf you run, work at, or know someone at a mental health clinic, we’d love to connect.\n\nYou can reach us at [founders@mdhub.ai](mailto:founders@mdhub.ai), or you can book a demo on our [website](https://www.mdhub.ai/ai-intake-coordinator?utm_source=YC+Launch+2025&utm_medium=YC+Launch+2025&utm_campaign=YC+Launch+2025&utm_id=YC+Launch+2025).",
"url": "https://www.ycombinator.com/launches/NVm-mdhub-ai-agents-for-mental-health-clinics",
"votes": 21,
"created_at": "2025-05-14T00:15:30.088Z"
},
{
"id": 82215,
"title": "mdhub - Clinical AI assistant for mental health clinics",
"tagline": "We power mental health clinics with our AI assistants to efficiently run their operations.",
"body": "# tl;dr\n\nInstead of seeing patients, mental health clinicians spend 50% of their time on other tasks, delaying access to mental health care. We aim to help them become 10x more efficient with our clinical AI assistant by automating tasks that keep them from seeing more patients.\n\nSince our launch 6 months ago, we successfully saved clinicians more than 100,000 hours in admin tasks, enabling them to generate tens of millions in additional revenue.\n\n# Our Story\n\nWe are [Dominik](https://www.linkedin.com/in/dominik-middelmann-01232378/) and [Efren,](https://www.linkedin.com/in/efrenal/) and we are on a mission to make mental healthcare accessible and affordable for everyone, everywhere. Efren holds an MSc in Computer Science and has been passionate about leveraging technology to improve health outcomes and has extensive experience building products. Dom holds a Masters in Management from London Business School and started his career at BCG.\n\nOur joint journey started in 2018 at a hyperscale start-up, where Efren joined as a founding engineer and Dom as the first hands-on operator. Since then, we have been building products together. As mental health challenges rise globally, we're committed to being at the forefront of innovation, leveraging AI and data to improve lives and transform care.\n\n\n\n\n# The Problem\n\nMental health issues are a growing concern in America, with approximately 50 million Americans currently grappling with a mental health condition. Alarmingly, this number is increasing by 1.5 million each year.\n\nConcurrently, the US is on track to face a shortfall of 30,000 mental health clinicians by 2024, a situation that's already costing the US health system $300 billion annually due to delayed treatment.\n\nIn a world where time is of the essence, clinicians are spending only 50% of their day with patients, while the rest is consumed by tasks like clinical documentation, dealing with insurance, and other back-office heavy work.\n\n# Our Solution\n\nWe power mental health clinicians with mdhub’s clinical AI assistant, enabling them to focus on patient care.\n\nThe patient-clinician conversation is at the core of mental health treatment, and by capturing it, our clinical AI assistant can automate tasks that prevent clinicians from dedicating more time to patients, such as writing clinical documentation, drafting patient after-visit reports, pre-charting, and treatment planning.\n\nWe are particularly excited about receiving daily appreciation from our users.\n\n“…I absolutely love the software.” Female, Psychotherapist, Montana.\n\n“…You have a dynamite product. I am so happy I came across you guys.” Female, Psychotherapist, Nevada.\n\n“…Instead of an hour of paperwork at the end of the day I’m wrestling with my kids, well worth it!” Male, Psychiatrist, Minnesota.\n\n“…It is truly such a great help - I am currently actually near burnout and going down on FTE for this year because of notes, and your program has given me some hope, actually!” Male, Psychiatrist, Texas.\n\n# The Future We Are Building\n\nWe believe running a more efficient practice is just the first step. In the future we are building, we will empower clinicians to start and grow their practices, bringing us closer to our mission of making mental health accessible and affordable for everyone and everywhere.\n\n# How you can help\n\nIf you own, work for, or know someone at a mental health clinic, we’d love to connect.\n\nIf you work for a behavioral health insurance company or know someone who does, please contact us.\n\nYou can reach us at [founders@mdhub.ai,](mailto:founders@mdhub.ai) or you can book a demo on our [website](https://bit.ly/4f6kvWn).",
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"votes": 29,
"created_at": "2024-07-17T17:43:41.140Z"
}
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"full_name": "German Mikulski",
"title": "Founder/CTO",
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"title": "This Startup Raised $13.3 Million To Inject AI Into One Of The World’s Slowest Industries",
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"created_at": "2024-05-23T15:06:47.010Z"
}
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"title": "Full Stack Engineer",
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"body": "# **TL;DR**\n\nTabular uses AI to automate the core workflows of accounting firms, starting in Europe. We generate zero-touch bookings on top of existing accounting software. This involves a range of tasks like classifying documents, determining VAT filings and selecting the correct booking accounts.\n\n# **Problem: manual work x acute labour shortage**\n\nOur customers use Tabular to save time on manual tasks, helping them address the acute labor shortage. Much of SMB accounting is still done by hand, but every second accounting firm has unfilled positions, causing them to lose out on revenue. Customers tell us they reject 5-10 new clients every week and have to drop existing ones whenever a bookkeeper retires. \n\n# **Why now? LLMs are a game changer for accounting**\n\nFor the first time, LLMs allow us to offer a step change in automation, reducing the time it takes to do an SMB’s book from hours to minutes. Previous generations of AI struggled with the highly variable and unstructured nature of SMB accounting data – but LLMs excel at precisely these tasks. Their ability to ingest large amounts of context about the nature of the business and transaction at hand, allows them to accurately reason through the many small accounting decisions required for every invoice. \n\n# **Solution: Accounting Autopilot**\n\nOur first product is an accounts payables autopilot sitting on top of incumbent accounting software. Users bulk upload hundreds of invoices. We sort through the documents, analyse the tax situation, and generate finished bookings. After reviewing edge cases, users export the books with just one click. Our product is already saving time for accounting firms in Germany:\n\n> _As a modern firm, we need to use the most innovative software. Tabular saves us hours each week by automating split receipts and complex wholesaler invoices from the very first use._\n\n\\- Tim Kieserling from [HeyTax,](https://www.hey-tax.de/) a 40-person firm\n\n\n\n# **Team**\n\n[**Markus**](https://linkedin.com/in/markus-jungnickel) - studied Law & Business at Cambridge, where he graduated top of his class, and holds an MSc in Computing Science from Imperial College. He previously worked on launching new financial services at the European fintech unicorn [Trade Republic](https://traderepublic.com/en-de) (backed by Sequoia, Founders Fund, Creandum).\n\n[**Kilian**](https://linkedin.com/in/kilian-j) - launched tax filing products in two new markets at [Taxfix](https://taxfix.de/en/) (Index, TGV) as a product manager and was employee #1 at [genova.ai](http://genova.ai), a B2C AI product studio. He studied at Williams College and Oxford.\n\n[**Tim**](https://www.linkedin.com/in/tim-hermes/) - launched and scaled automation for the same customer group before. At Taxfix, he built the “[Tax Advisor Product Vertical”](https://taxfix.de/en/how-it-works/) as GPM from 0 to multiple million ARR in under 12 months, by automating income tax filing for tax advisors. Now, he has set out to automate accounting for them.\n\n# **Ask**\n\n* Join us on [LinkedIn](https://www.linkedin.com/company/tabular-gmbh)\n* Connect us with German accounting firms and SMBs who are unhappy with their accounting setup\n* Reach out to us via email ([founders@gotabular.de](mailto:founders@gotabular.de))",
"url": "https://www.ycombinator.com/launches/Ldo-tabular-ai-autopilot-for-accounting-firms",
"votes": 35,
"created_at": "2024-08-19T20:37:21.204Z"
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"tagline": "We make it simple to implement actionable, context-rich logging across your entire codebase.",
"body": "[Patchwork](https://getpatchwork.io/) automates logging from code to storage. Developers no longer need to manually write or re-write logs — Patchwork does it for them. Actionable, context-rich, secure logs can become the new standard across your entire codebase.\n\nThe product currently works with Java, Go, Python, Ruby, TypeScript, JavaScript, Scala, and Kotlin.\n\n\n\n# **The Problem with Logs**\n\nManually instrumenting code with logging is time-consuming and tedious. Unlike building features, logging doesn’t earn promotions. Logs are written by developers but consumed by SREs and security engineers once in production.\n\nPicture this: a critical incident strikes at 2 AM. Your SREs are scrambling, frantically searching through a mess of inconsistent logs, trying to piece together what went wrong. Sound familiar? That’s because logging, as it stands today, is broken.\n\nEmpires like Splunk have been built on the premise that messy logs are a fact of life and you therefore need to fork out for best-in-class indexing and querying. We say it’s time to tackle this problem at the source.\n\n\n\n**Patchwork: Logging, _Un_\\-imagined**\n\nWith Patchwork, developers can focus on building features while our product ensures that every log is context-rich, actionable, and secure. Developers can un-imagine logs, forever.\n\nPatchwork works in the background, reviewing your existing codebase and stepping in during continuous integration to ensure that your new code meets your engineering standards.\n\nOur product is flexible, but in our experience, good logs:\n\n* Are context-rich and actionable,\n* Explain what the failed method was attempting (the intent),\n* Provide the context in which it failed (the state of all relevant variables),\n* Use a structured format,\n* Handle sensitive information gracefully (never include tokens/passwords, label or exclude, e.g., personal information).\n\nOur mission is to provide a few-click, automated journey to implement logging from code through to storage.\n\n# **Our Ask: Give an SRE a Hug**\n\nAnd then, help them out by giving them our email – [founders@getpatchwork.io](mailto:founders@patchwork.io). We’d love to connect with Senior SREs and VPs of Engineering – in our experience, they really get it.\n\nCheck out how we think at our [blog.](https://www.getpatchwork.io/post/the-problem-with-logs)\n\n\n\n# **Our Story**\n\nThe Patchwork founders ([Ben](https://www.linkedin.com/in/benjaminfhall/), [Sam,](https://www.linkedin.com/in/sam-kramer-4263189a/) and [Alex](https://www.linkedin.com/in/alexmaass/)) met while working at Palantir. That translates to _met while delivering product and outcomes to demanding customers, at massive data and infra scale, under tight timelines_. Late-night debugging sessions at Palantir taught us that good logs are priceless.\n\n\n\n# ",
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"body": "**Docs**: [https://docs.stack-auth.com](https://docs.stack-auth.com/)\\\n**Star us on GitHub**: \n\n\n\nHi all! We're [Zai](https://www.linkedin.com/in/zaishi) and [Konsti](https://www.linkedin.com/in/stan-wohlwend-b30340167/), and we’re repeat founders who believe that devtools must be dev-friendly.\n\nUser authentication _sucks_. Existing solutions are a pain to set up and have hostile pricing, terrible documentation, and vendor lock-in. The few good solutions that exist only do authentication and don't even touch **authorization** or **user management**.\n\nStack Auth was born out of years of frustration. We wanted to build something better.\n\nIf you're building B2B software, we'll deal with **organizations**, **permissions**, and **RBAC** for you.\n\nIf you're building a Next.js app, we have **React components** for sign-in, password reset flows, and all sorts of things like account settings and teams. And they're customizable.\n\nOther features include:\n\n* **100% open-source** and self-hostable, though we also provide a Cloud service\n* **User dashboard** to view, modify, and understand your users\n* **Multi-tenancy** for your business customers\n* **Access token management** for APIs of OAuth services that users connect with\n* **Impersonation** to log in as one of your own customers for debugging and live support\n* **Webhooks** to sync your data with other systems like databases or Slack\n* **Customizable e-mails** on triggers such as user sign-up\n* **Flexible REST API** for use with any backend\n\nInterested? Check out [our website](https://stack-auth.com/) or [schedule a call](http://cal.com/team/stack/chat). Or take a look at the screenshots below.\n\nThanks all!\n\n\n\n\n\n\n\n",
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"id": 82720,
"title": "🧓 Clara - Better home care for seniors",
"tagline": "Marketplace software for discovering, hiring, and managing in-home caregivers",
"body": "# **TL;DR**\n\nClara is a home care marketplace that makes it easy for families to find and employ their ideal caregiver.\n\nOur platform uses AI to match customers with the best possible caregiver and automates compliance with built-in payroll, tax, and insurance support, all for 15-25% less than a home care agency.\n\nClara is currently live in the SF Bay Area. Sign up today at [**clarahomecare.com**](https://www.clarahomecare.com/)\n\n\n\n---\n\n# _____________________\n\n# **The Problems with Home Care**\n\n**_🧑⚕️🌊 More Americans than ever before need care_**\n\n* **Silver Tsunami -** 11,000 Americans will turn 65 every day from now through 2027. 69% of those will require long-term care, for an average of 3 years (HHS). \\~88% of them would prefer to age at home rather than in a facility (AARP)\n* **Care work is the fastest growing profession in the U.S.**, projected to add >1M jobs by 2028. Job growth in this sector is greater than the second and third U.S. occupations with the most job growth combined (BLS)\n\n**_💸 Care costs for families are high and not correlated with quality_**\n\n* Non-medical care is **not covered by Medicare** or standard health insurance plans\n* The average out-of-pocket cost of a home health aide in SF today is [**$102,960/year**](https://www.genworth.com/aging-and-you/finances/cost-of-care)\n* Most care is delivered by **home care agencies that take 30-50% margin**, taking advantage of unsophisticated consumers who rely on referrals from overworked case managers/social workers\n* Care recipients often suffer from high caregiver turnover, with **families reporting >100 caregivers cycling through their homes**\n* Fed up with agencies, many families pay independent care workers cash under the table, opening them up to **costly tax penalties and significant personal liability**\n\n**_😞 Caregivers are underpaid and disempowered_**\n\n* Avg. **hourly wages for care workers total just $14-$16/hr**. 45% of care workers live at, or near poverty.\n* **Industry-wide turnover is** [**\\~80%**](https://homehealthcarenews.com/2024/07/home-cares-industry-wide-turnover-rate-reaches-nearly-80/) due to poor pay, difficult working conditions, and unpredictable schedules\n\n---\n\n---\n\n---\n\n# _____________________\n\n### **The Solution**\n\n# **Clara helps families legally hire and manage caregivers, without the use of agency**\n\n\n\n**Our platform:**\n\n* 👫 Uses AI to match families with local Home Health Aides (HHAs), Certified Nursing Assistants (CNAs), or experienced companion caregivers, all thoroughly vetted and background-checked\n* 📝 Makes 100% legal, on-the-books employment frictionless by automating payroll, taxes, and insurance\n* 📱Helps caregivers deliver the best care possible, while keeping families in the loop with gen-AI care management features\n\n**Our approach:**\n\n1. Improves care quality, consistency, and transparency for care recipients and their families\n2. Increases take-home pay and stability for caregivers, while providing access to key benefits like unemployment insurance and social security\n\nThat’s why our customers call us “refreshing”, and our caregivers call us “too good to be true”\n\n\n\n_Jon and Lydia, a Clara care recipient_\n\n---\n\n---\n\n# _____________________\n\n# **Our Team**\n\n[Jon](https://www.linkedin.com/in/jonlevinson1/) and [Ian](https://linkedin.com/in/ian-gillis-3a503837) met as Product and Engineering management counterparts at Uber, where they launched and grew Uber Direct, a new line of business, from $0 —> \\~$1B in revenue.\n\nWhen Jon and his family faced the frustrations of finding and managing care for his father, he reached out to Ian to collaborate on a new approach. Leveraging their combined 20 years of experience building lovable consumer and marketplace tech products, they reimagined home care in America.\n\n\n\n---\n\n---\n\n---\n\n# _____________________\n\n# **🙏 How you can help us**\n\n1. If you know any fantastic caregivers looking for better home care employment opportunities, kindly refer them to us at \n2. We’d also love **introductions to Social Services Directors**, Case Managers, or other professionals with similar roles at post-acute rehab/skilled nursing facilities in the SF Bay Area. We’re building tooling to make their lives easier and would love early partners\n3. Show us some ❤️ by liking/following us on [Facebook](https://www.facebook.com/HomeCareNearMe/), [Instagram](https://www.instagram.com/clara_home_care/), and [LinkedIn](https://www.linkedin.com/company/clarahomecare)\n\n# _____________________\n\n# **💝 How we can help you**\n\nTo celebrate our launch we’re offering 50% off our service fee for the YC community. If you (or someone you know) is looking for a caregiver, or wants to explore new caregiving options for an aging loved one in the Bay Area, send them our way! Just have them complete our intake form at [clarahomecare.com,](http://clarahomecare.com) and send an email to [yc@clarahomecare.com.](mailto:yc@clarahomecare.com) Mention this offer and we’ll take 50% off their first 6 months.",
"url": "https://www.ycombinator.com/launches/LWC-clara-better-home-care-for-seniors",
"votes": 118,
"created_at": "2024-08-05T17:36:05.806Z"
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"answer": "👋 Hello, we’re Anton and David. We bootstrapped VideoGen out of our college dorm rooms to over 1 million users in under a year. We met at a Tennis Academy in middle school and became friends over a shared passion for building web apps and playing tennis. Now, we’re changing the way the world creates videos with the help of AI."
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"question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
"answer": "Making videos is hard. Each step of the process—scripting, recording voice-overs, finding and licensing high-quality footage, and editing—is extremely time-consuming. Video editing products today are hard to use and have too many buttons. Paying someone to make videos for you is expensive and slow."
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"year_founded": 2023,
"city": "San Francisco",
"country": "US",
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"x_url": "https://x.com/VideoGenApp",
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"user_id": 1009656,
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"title": "Founder/CEO",
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"title": "VideoGen – Generate professional videos in seconds",
"tagline": "Introducing VideoGen, the world's first AI that can create and edit videos for you.",
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{
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"full_name": "Nisal Ranasinghe",
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{
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{
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"title": "Business Development Representative",
"url": "https://www.ycombinator.com/companies/phonely/jobs/EfITptc-business-development-representative",
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"title": "This Startup Built AI That 80% of Callers Think Is Human",
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"title": "📞 Phonely - Humanlike AI receptionists",
"tagline": "Phonely lets businesses create a highly personalized AI receptionist that answers their phones 24/7",
"body": "**TL;DR We use your website to create an AI receptionist that can answer FAQs, route calls, and book appointments, ready to go in under 5 minutes. Don’t believe us? Try it free **[**here**](https://phonely.ai?utm_source=ycombinator.com&utm_medium=referral&utm_campaign=Y+Combinator+Launch)**.**\n\n**—**\n\nHey 👋! It's [Will](https://www.linkedin.com/in/william-bodewes/) and [Nisal](https://www.linkedin.com/in/nisalr/) here. We’re building [Phonely](https://phonely.ai/), an AI receptionist system that ensures **you’ll never get put on hold again.**\n\n\n\nWe are both former PhD AI researchers from the University of Melbourne, and 8 months ago, we set out to build an AI receptionist that could do everything that a person could do over the phone, and it's safe to say we’re done just that.\n\n**❌ The Problem**\n\nMissed calls cost businesses tens of thousands of dollars in lost revenue every year. Sure, you can hire a receptionist or outsource to a call center, but even they face the same problem. Humans sleep, have bad days, and ultimately don’t scale. We can do it better, faster, and 70% cheaper than the status quo.\n\n**✨ Our Solution**\n\nPhonely uses a website URL to build a humanlike AI answering system in just a few minutes. Our platform then connects to scheduling software, routes calls, and integrates with an existing knowledge base, all while improving its responses over time.\n\n\n\nAfter the call, Phonely provides powerful AI analytics and automatically extracts relevant information, sending it directly to the business CRM, phone, or inbox.\n\nPhonely doesn’t just sound like a person. It can do things like a person, too.\n\n* Connect directly to your calendar to schedule, cancel, or rebook appointments\n* Send SMS messages\n* Trigger live automations based on the callers’ inquiry\n* Place outbound calls to remind customers about important events (i.e. upcoming appointments)\n* [And much more](https://www.youtube.com/watch?v=sfidfcFpiK0)\n\n**⚙️ How it works**\n\nPhonely combines the best voice providers, language models, and transcription software to create contextually accurate, lifelike voice responses in under a second. If you give us your website, we will visit every page and extract relevant information automatically, formatting it to work with our custom-trained language models. We also directly integrate with a bunch of different software, such as Google Calendar and Zapier, to make it easy to manage appointments and so much more.\n\nSee it in action: \n\n**🙏 Asks**\n\n1. Build an AI receptionist from your business website (it's free and takes less than a minute). Do that [here](https://phonely.ai?utm_source=ycombinator.com&utm_medium=referral&utm_campaign=Y+Combinator+Launch).\n2. Don’t have a business but know one? We’re doing the best affiliate deal we’ll ever have. Join that [here](https://affiliate.phonely.ai).\n3. Also, if you have 10 minutes to chat about Phonely, please book a time with me [here](https://www.calendly.com/phonely) 😊\n\nFollow our [Linkedin](https://www.linkedin.com/company/phonely-ai/), [Twitter](https://x.com/phonely_ai), and [Youtube](https://www.youtube.com/@phonely-ai) to stay up to date.",
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"title": "GTM Associate",
"url": "https://www.ycombinator.com/companies/corgi-insurance/jobs/OMHjq7G-gtm-associate",
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"id": 107070,
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"body": "\n\nHey YC! We’re [Max](https://www.linkedin.com/in/maxmclau/), [Alex](https://www.linkedin.com/in/avecchi/), and [Austin](https://www.linkedin.com/in/austintindle/), the team behind [Sorcerer](https://sorcerer.earth).\n\n**The problem & background**\n\nHundreds of terabytes of weather data are collected from satellites, ground stations, airplanes, and weather balloons every day. In-situ weather observation has the most impact on weather models, but it’s incredibly expensive to collect. The US National Weather Service spends over a billion dollars annually _just on its network of weather balloons, stations, and aircraft sensors_. Despite this cost, there are still places in the US [where we don't know what the temperature will be two days from now](https://web.archive.org/web/20240705002110/https://www.washingtonpost.com/climate-environment/interactive/2024/how-accurate-is-the-weather-forecast/). And for the 80% of the world that lacks any weather infrastructure? There’s always the [weather rock](https://en.wikipedia.org/wiki/Weather_rock).\n\n**The solution**\n\nWe’re launching a global network of persistent weather balloons to provide real-time data in previously unreachable locations. Each balloon remains airborne for over six months, completing \\~30 laps around the globe while navigating between sea level and 65,000 feet. We’re able to collect 1000x more data per dollar than current systems, and we use this unique data to train AI weather models that are up to 50% more accurate than today’s best forecasts. \n\n\n\n**The Team**\n\nAs founding engineer at aerospace startup [Urban Sky](https://www.urbansky.com/), Max developed the world’s first stratospheric ballooning systems for high-resolution imaging and wildfire tracking. As employee number three at Urban Sky, Alex built their mission control and flight prediction engine from the ground up (“the best in the world” - US Secretary of Defense). Austin was an ultralight flight instructor before he could legally drive and was most recently Head of Product at [SumUp](https://www.sumup.com/en-us/), shipping highly regulated hardware at scale.\n\n**How You Can Help**\n\n* **Industry intros:** We’d love to talk with aerospace, commercial aviation, ocean freight, logistics, and commodities trading execs (these folks think weather data is pretty neat)\n* **If you find one of our balloons near SF**: Sorry! It’s still a work in progress (and please get it back to us)\n\nWe’d also love to hear from you! Reach out any time at [austin@sorcerer.earth](mailto:austin@sorcerer.earth) \n\nBest,\n\nMax, Alex, & Austin\n\n\n\n# ",
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"body": "Hey folks, we’re Dhruv, Adit & Neeraj, the founders of [decisional.com](https://www.decisional.com/) and we are introducing the world to Knowledge Engines.\n\n### Decisional Knowledge Engines\n\n**A new way for financial professionals doing in-depth work to collaborate with AI agents.**\n\n**TLDR**\n\nKnowledge engines are AI native workspaces built for financial professionals in private markets to accelerate **due diligence**, **fundamental research**, and **portfolio management** in a secure sandbox environment with **full citations and audit trails**.\n\nPreview video here - https://www.youtube.com/watch?v=RU9Xm8VWNd0\n\nTHE PROBLEM\n\nFinancial professionals spend hours doing grunt work that includes copy pasting tables, screenshotting charts and doing data entry and have been unable to use AI effectively due to a lack of precision and transparency in using LLMs in their workflows.\n\nThe Decisional knowledge engine allows you to **add** and **view** sources to so that you can\n\n1. **Write** your own thoughts into Memos\n2. **Ask** **AI** questions related to the sources you upload\n3. **Generate / Edit** high quality tables, charts and metrics based on the underlying materials with your AI Assistant Dex\n\nDecisional features a powerful **document processing** system that handles multiple formats (excel, pdf, ppt, docx) with OCR for tables, charts, and figures. Our agentic **RAG** implementation grounds AI responses in your sources, delivering up to **4.1x** greater accuracy with fewer hallucinations and the most transparent citations. Choose from top models by Anthropic, xAI, OpenAI, and Meta.\n\n\n\n_(Chart produced with Decisional)_\n\nTop three reasons to use Decisional Knowledge Engines\n\n### **1.You start from SCRATCH**\n\n\n\nDon’t become a consensus thinker, use AI only when you need it - to do the grunt work not the real decision making. Upload sources you trust and view it on the left, iterate on your workup in the middle and ask AI for assistance on the right, ONLY when you need it.\n\n### **2.Deep Research** & **Agentic Editing** with Finance Grade **Tables**, **Charts** and **Writing**\n\nWe’ve tuned Dex to be thoughtful, analytical and rigorous like any financial professional worth their salt. It spends time thinking before writing to improve depth and understanding. Get Dex to refine outputs, answer follow-ups, and iterate on your materials. Write inline when you need to onto a collaborative editor with Dex. It can even do financial modeling and scenario analysis.\n\n\n\n### **3.Full transparency**\n\nEvery insight links back to original sources with complete audit trails. Imagine an analyst that can read hundreds of thousands of files in seconds but tells you the exact page with a bounding box around where it got a figure from. Inline citations ensure you don’t have to second guess whether the data is accurate, see for yourself without yielding all your time savings to fact check AI.\n\n\n\nAll this with enterprise grade APIs to embed AI agents within your workflow and deployments that work with your data security policies.\n\n### **Try Decisional free for a week with no credit card**\n\nThere are multiple AI Agents for finance but none offer the level of transparency and control that we do.\n\nNo smoke and mirrors, just results you can trust.\\\nChoose from one of our public samples where we have pre loaded documents for you:\n\n* [AI Infrastructure Build Out](https://app.decisional.com/public/memo/9fc52894-91e4-4531-b776-913929e058a9?promptId=prmt_ainfrabuildout)\n* [US Gambling Restrictions](https://app.decisional.com/public/memo/7154d423-6626-4099-88fb-eb1ffb3c327d?promptId=prmt_usgamblingmemo)\n* [Tesla SEC Filings (10 years)](https://app.decisional.com/public/memo/eb1a312c-1b55-4738-acb9-2ade5880eee9?promptId=prmt_tslasec10years)\n* [Coffee Retailer Data Room](https://app.decisional.com/public/memo/b1fa6424-9790-4194-93e5-eebcc9f8d9ab?promptId=prmt_pvtequityjoeco)\n\nOR login and upload your own documents here - https://app.decisional.com/sign-in\n\nReach out to us at [founders@decisional.com](mailto:founders@decisional.com) if you want to use our [APIs](https://docs.getdecisional.ai/welcome/introduction) to embed our workspace in your product or workflow.",
"url": "https://www.ycombinator.com/launches/O4b-decisional-knowledge-engines",
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"created_at": "2025-07-29T16:16:45.742Z"
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"title": "Decisional - An AI agent for Financial Analysts",
"tagline": "AI Financial Analyst to help investors focus on what matters.",
"body": "Hey everyone, we’re Dhruv, Adit, and Neeraj — co-founders of [Decisional](https://www.getdecisional.ai/).\n\n### **tl;dr**\n\nDecisional built an AI Financial Analyst that reads and understands data from thousands of public and private sources. Imagine a new world - an AI Analyst, at your beck and call, that has understood every email, read every data room, and can browse the web. \\\n\\\nDecisional breaks down data silos and performs all of your grunt work, ensuring you never have to manually copy a table from a pdf to Excel ever again.\n\n### **The Problem: Grunt Work & Data Silos**\n\nAnalysts want to create alpha through first principles thinking - but they’re blocked by mundane tasks like extracting tables, plotting market maps, and sifting through transcripts and board packs. Their information is scattered in data silos internally (Airtable, Dropbox, Email) and externally (web pages, SEC filings, and private data feeds like S&P).\n\nDecisional ingests information across your organisation and configured external sources to create a knowledge graph that powers a 24x7, intelligent AI Agent empowered with your organization’s information. It helps you unearth key facts and patterns hidden in plain sight.\n\n### **The Solution: Writing > Chatting for Deep Work**\n\nDecisional’s Magic Tables will organize key metrics, competition, and public comps, enriched with external data like funding amounts, stage, geography, and sector.\n\n\n\n\\\nAnalysts generate “AI memos” and glean deep insights from your documents. Decisional eliminates the 24-48 hour wait while your offshore team performs simple data extraction grunt work.\n\nDeep, living documents are then drafted with the help of an AI Agent that automatically pulls and organizes data from underlying sources, complete with citations.\n\n\n\n\n\n### **The Finance + AI + Distributed Systems Squad**\n\nDhruv, Adit, and Neeraj studied at London Business School, Carnegie Mellon University, and NYU, respectively. Adit and Dhruv have known each other for 20 years and are childhood friends. Dhruv and Neeraj shared a PM - Lead Engineer bromance from their time working at Razorpay (W15).\n\n[Dhruv](https://www.linkedin.com/in/tandondhruv/) - Experienced in investing, lending, and banking through working at Moonfire Ventures, Concentric Capital, Drip Capital (S15), and ICICI Bank. Rage quit a bank to join the startup world.\n\n[Adit](https://www.linkedin.com/in/aditsanghvi/) - Developed machine learning models at AWS and Uber, and built models for billions of transactions that generated over $200+ million in additional revenue. Published research and patents in machine learning since 2017.\n\n[Neeraj](https://www.linkedin.com/in/neerajkanuri) - Developed end-to-end financial infrastructure that handles over $150B in transaction volume at Razorpay (W15). Won a contest in Yann LeCun’s Deep Learning course and then built distributed systems at Arthur AI for financial services firms like JP Morgan.\n\n\n\nWatch our full product video here:\n\n",
"url": "https://www.ycombinator.com/launches/Lcw-decisional-an-ai-agent-for-financial-analysts",
"votes": 298,
"created_at": "2024-08-16T21:16:34.697Z"
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"body": "**TL;DR** - [**Azalea Robotics**](https://azalearobotics.com/) is building robots to handle baggage between touchpoints at airports. Our robots work around the clock, never get tired, and never lose or damage your bag after check-in.\n\n\\\n\\\n**The Team** - [David](https://linkedin.com/in/davidrmillard) and [John B.](https://linkedin.com/in/john-b-stroud) met in undergrad at the University of Georgia and have been close friends for 12 years. David has a PhD in Computer Science from USC and is an expert in soft-body robotic manipulation. John B. has an MBA from Kellogg and extensive experience in airline ground operations. They founded Azalea Robotics at the intersection of their combined strengths to modernize bag-handling systems at airports.\n\n\n\n\\\n**The Problem** - Airport baggage handling is broken. It requires an immense amount of back-breaking labor, using decades-old infrastructure at airports, all while passengers increasingly choose to cram everything into a carry-on because they don’t trust airlines to deliver their luggage on time and in one piece. Airlines and airports have an increasingly hard time hiring these workers and are plagued by frequent system outages and customer confusion and complaints during large weather events.\\\n\\\n**The Solution** - Robotic systems work around the clock, never get tired and damage your bag, never misidentify bags, and are significantly cheaper to deploy than manual labor. Our technology allows large robotic arms to handle all bag types and intelligently improve with every bag transferred.\n\n\\\n**Our Customers** - We sell our systems to airports and airlines around the world. Depending on the size of their airport presence (i.e., is this a hub for a given airline?), airlines will either outsource or hire in-house baggage handling for their customers. Airports are typically public entities run by the local city or metropolitan area and can be more or less hands-on with baggage handling, depending on their passenger volume. Worldwide, airports and airlines spend $20B+ to handle 4.5B+ bags (and growing) every year!\\\n\\\n**Our Ask** - Everyone has a nightmare baggage story, and we’d love to hear yours at [mishandled@azalearobotics.com](mailto:mishandled@azalearobotics.com)! Otherwise, if you're interested in learning more or have someone you think we should talk to, let us know at [founders@azalearobotics.com](mailto:founders@azalearobotics.com)!\n\n\n\n",
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"title": "🏢 RetroFix AI - Turbo Tax for building rebates",
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"body": "**tl;dr:** Building operations are responsible for around **1/4 of global energy CO2e** emissions. We want to make it extremely easy for every building in the world to decarbonize and decrease this number. Currently, we're working on making it extremely easy for buildings to secure government subsidies to become more energy efficient, starting with New York.\n\n\n\nHi everyone, we’re [Isaac](https://www.linkedin.com/in/isaac-t-1a51ab13a/) and [Daniel](https://www.linkedin.com/in/daniel-portela-febo/)! 👋 We met two years ago while studying at MIT, and now we are solving the problem of building decarbonization at [RetroFix AI](https://www.retrofix.ai).\n\n# **The Problem** 🌍\n\nBuilding operations are the 4th largest global contributor to carbon emissions:\n\n* **Globally**, they are responsible for around **26%** of all energy and process-related CO2e emissions\n* **In the US**, that number is approximately **29%**\n* **In dense cities** like New York, DC, Boston, and Philadelphia, they account for over **2/3** of all GHG emissions\n\n# **Our Mission** 🚀\n\nWe want to make it dead simple for every building in the world to decarbonize. We are committed to accelerating the adoption of clean energy technologies in buildings all around the world. We start by solving the largest barrier to decarbonization: money. Currently, we're working on making it extremely easy for buildings to secure government subsidies to become more energy efficient, starting with New York. 🏢\n\n# **Why Start with New York?** 🏙️\n\nWith the passing of NYC’s Local Law 97, which penalizes building owners for exceeding emissions thresholds, around 12% of all buildings in NYC are starting to get fined this year for non-compliance. In 2024 alone, $20M in fines are estimated for these building owners. If no action is taken, the fines are expected to increase to over $85M per year by 2030, with over 70% of buildings being non-compliant. 💸 These fines will continue to rise as emissions thresholds become more stringent over time. Consequently, investments to improve critical building infrastructure have grown substantially, along with the need for subsidies. Consolidated Edison (the largest utility in New York) alone has deployed over $2B in subsidies over the last 4 years! 💡🏢\n\nContractors in NYC often spend hours researching the latest requirements and regulations to submit incentive applications, which are often not done correctly. As a result, a contractor may promise a certain amount of incentives to a customer but potentially deliver a completely different amount. This volatility in subsidy money is problematic for contractors who focus on delivering the best pricing and service to their clients. Because subsidy programs are often tied to government entities, contractors and building owners are interested in understanding how to “stack” incentives, but are deterred by the required reading to understand how to do so. 📚❗️\n\n# **The Solution ✅**\n\nWe start tackling the money problem by streamlining subsidy applications for energy-efficient equipment for buildings. Contractors no longer need to spend hours emailing or calling incentive programs, wondering when they'll hear back or if they did anything wrong! By using AI to understand regulatory constraints, we accurately identify the best incentives and provide a comprehensive list of required documentation. 📝 More time and money back in our contractors' pockets! We constantly update our software to ensure the most up-to-date information, so users remain worry-free. 😌 Contractors can rest assured they are submitting the right paperwork to maximize their clients’ incentives! Our goal is to accelerate the energy transition while saving owners and contractors hundreds of thousands of dollars through low-cost sustainability improvements. 🌿\n\n\n\n# **The Ask 🤲**\n\nWe’re actively looking to onboard more building owners, building management companies, and HVAC professionals/engineers based in NYC! If you’re interested or know anyone we should connect with, please send us a message at [founders@retrofix.ai](mailto:founders@retrofix.ai)! 📩\n\n# **The Team 🗣️**\n\n\n\n",
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"body": "### TL;DR\n\n[Unbound Security](https://www.unboundsecurity.ai/) prevents leakage of sensitive information when employees use Gen AI applications. For example, we intervene and stop when someone pastes a code snippet that contains a secret key into ChatGPT while troubleshooting.\n\n# The problem\n\n1. **AI faces enterprise adoption roadblocks**: Despite Gen AI boosting productivity, many enterprises remain wary. Even in 2024, over 1 in 4 organizations have banned all AI apps, keeping them off-limits to employees.\n2. **AI app sprawl:** There are now well over 1,000 Gen AI apps, and many have questionable security practices. These cool “tools” continue to worry CSOs (Chief Security Officers) as employees are already using many of these to get work done.\n3. **Data privacy remains a top concern**: Over 55% of all prompts contain some form of Personally Identifiable Information (PII). This is not only a privacy nightmare, but also pushes enterprises out of compliance with multiple regulations such as PCI, SOX and HIPAA.\n\n# Our solution\n\n1. **AI app discovery:** We discover and catalog all AI apps in use by employees and help security teams understand the risk levels of each of these apps.\n\n \n\n2. **Granular application access policies:** Rather than block all apps by default, we allow enterprises to allow some trustworthy AI apps and steer users towards those. For example, if your org invested in Chat GPT enterprise, we help get the most out of that investment by encouraging people to use that instead of a random cool file summarizer on the internet.\n\n \n\n3. **Protect data leakage:** On the allowed AI apps, Unbound monitors all prompts and also blocks users from sharing sensitive information based on the configured AI usage policy.\n\n \n\n\n# Our ask and offer\n\n1. If you know a company that has blocked the usage of AI apps, we can help your friends use these apps with IT consent. Please drop us a note at [founders@unboundsecurity.ai](mailto:founders@unboundsecurity.ai).\n2. If you’d like to understand what people are using AI for within your org, and stay compliant, we are happy to offer our AI visibility platform for free to any YC company. Let’s [chat more over a meeting.](https://calendly.com/rajws/30-mins-meeting)\n\n# The team\n\n[Vignesh](https://www.linkedin.com/in/vigneshsubbiah16/) and [Raj](https://www.linkedin.com/in/rajaramsrinivasan/) worked together at Adobe on the same Engineering team for 5+ years, solving some of the most complex problems in the digital advertising space - The team built sub-millisecond latency systems that processed billions of advertising artifacts. Vignesh went on to be founding engineer at Tophatter and an early engineer at [Shogun (YC S18)](https://www.ycombinator.com/companies/shogun). Raj has built data security products for Palo Alto Networks and Imperva prior to Unbound where he observed the struggles of data security programs in large enterprises.\n\n\n\n",
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"body": "\n\n\\\nWe’re Mark and Trevor, founders of [Hyrex](https://hyrex.io). We’ve written a lot of software over the years at Google, NASA, and multiple startups. As our focus has shifted to scalable web apps, we’ve come to appreciate the magic of asynchronous background task queues. They make it easy to build lightning-fast apps that can scale dynamically, while ensuring that essential tasks are completed with full confidence, in priority order. This distributed approach is more important than ever for building dynamic AI agents, indexers, and web-first apps.\n\nHere’s a basic task orchestration architecture - you send tasks (i.e. function calls) to a queue, and workers pull them off and complete them in parallel.\n\n\n\n**The Problem**\\\nUnfortunately, none of the existing frameworks supported everything on our checklist. As we talked with developers working on startups, we learned that most shared the same experience. Some frameworks require extensive code rewrites, while others are difficult to configure and debug, or simply unmaintained. Most lack a deep commitment to open-source, and many require dependencies on outdated or niche technologies. As you can probably guess by now, we decided to build our own!\\\n\\\n**Our Approach**\n\nWe started with a few core creative constraints.\n\n1. Only required dependency is a Postgres database.\n2. Existing functions can be converted to tasks using just a decorator/wrapper. No changes to your core code that lead to lock-in.\n3. Open-source first, with a higher-performance managed service with an identical SDK. Easy to switch back-and-forth.\n4. Can be set up and tested in minutes.\n\nAnd we ended up with Hyrex!\n\nIf you’ve used a task framework before, everything should work as you expect (and probably better)! If you’re new to task frameworks, everything you need to know is at [hyrex.io/docs](https://hyrex.io/docs)\n\n\n\n\\_(Hyrex Cloud in action)\\_\\\n\\\n**What is COLD?**\n\nWhy do we call ourselves “the COLD task framework”? For each function you wrap as a Hyrex task, you get 4 properties needed for production-grade systems:\n\n* **Controllable** - tasks can be sent from anywhere, anytime, with any configuration\n* **Observable** - tasks status, results, logs, and metadata are easily available via a UI or programmatically\n* **Large-scale** - workloads are horizontally scalable across any cloud infra (even multi-cloud)\n* **Durable** - workers are fault-tolerant and self-healing, and tasks can’t be dropped once they’re in the system\n\nWith these built-in properties, your Python/TypeScript functions are ready to send with confidence. You can run them on schedules and easily chain them together into task trees to build products like Deep Research and dynamic AI agents.\n\n\n\nHyrex open-source requires only a Postgres database to run. Hyrex Cloud ([hyrex.io/cloud](https://hyrex.io/cloud)) provides higher throughput, GitHub integration with automatic deployments when you push changes, and built-in scalable worker pools. Both options use the same SDKs, so you can easily switch at any time!\n\n**Hyrex Cloud pricing**\n\n* $200/month - individual plan (1 project + 1 worker)\n* $400/month - team plan (up to 5 members and 5 projects + 2 workers)\n\n**Our ask:**\n\n* Sign up for a 1:1 demo at [hyrex.io](http://hyrex.io)\n * We’d love to chat directly and help write your first Hyrex task!\n* Try it out on your own!\n * Build your first Hyrex task in minutes using our quickstart guides: https://hyrex.io/docs/learn/getting-started\n* Join our Discord ([discord.gg/hyrex](https://discord.gg/hyrex)) for questions and discussion",
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"body": "**TL;DR:** [Kura](https://www.usekura.com/) integrates directly with services like AWS, helping software teams respond to incidents, provision infrastructure, and optimize complex cloud systems.\n\n\n\nHello YC! We’re [Trevor](https://www.linkedin.com/in/trevorar) and [Mark](https://www.linkedin.com/in/markedwarddawson/), founders of Kura. After building distributed systems for a combined \\~15 years at places like Google and NASA, we know the challenges and triumphs of cloud-based products. We started Kura with the core belief that recent AI advancements can unlock the potential of software teams building on the cloud.\n\n# **What’s the problem?**\n\nAs web apps become increasingly core to the world, maintaining cloud infrastructure requires increasingly more time and resources.\n\n* Distributed systems are getting more complex than ever\n* Managed solutions trade off ease against control and cost\n* Cloud infra engineers are few and far between, leaving much of the work to teams who may not have extensive cloud experience\n\n# **What can Kura do?**\n\nKura is a chatbot and workspace that integrates directly with a live index of your cloud infra from services like AWS, GCP, and Azure.\n\n\n\n**Kura can answer questions about your cloud system**, providing links and live information for queries like:\n\n* “Is my main API cluster healthy?”\n* “Which container version is running in prod?”\n* “Can you help me deploy a new container via CDK?”\n\n**Kura can run pre-packaged and user-defined “runbooks”** to proactively surface issues via notifications. For example:\n\n* Scheduled checks for over/under-utilized computing resources\n* Discovering and surfacing cost spikes and trends\n* Searching for common security vulnerabilities\n\nWith Kura, software teams can build faster and more confidently on the cloud, all while maintaining full control of their critical infrastructure.\n\n# **Our ask:**\n\n* If your team is building on the cloud and would like to learn more or sign up as a pilot customer, please reach out to [founders@usekura.com](mailto:founders@usekura.com).\n* If you know software teams or developers running into roadblocks due to cloud complexity, please send this post their way - we’d love to chat and learn more!\n* Follow us at [@kura_labs](https://x.com/kura_labs) to follow along on the journey!",
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"body": "# **The Problem**\n\nEvery day, crucial decisions are made based on outdated geospatial simulations. \n\nInsurance companies guess more than they would like about hurricane risks. Airports can't predict tomorrow's delays, let alone next week's. Meanwhile, utilities are crossing their fingers every heatwave that the grid won't collapse.\n\nEarth’s simulation infrastructure needs an upgrade.\n\n# **The Solution**\n\n\n\nToday, [Silurian](https://silurian.ai/) is announcing the launch of GFT (Generative Forecasting Transformer), a 1.5B frontier model that simulates global weather up to 14 days ahead at approximately 11km resolution with unprecedented accuracy. Our model outperforms numerical weather prediction systems from the American (NOAA) and European (ECMWF) agencies by up to 30% across multiple variables. \n\nRemember Hurricane Beryl? In a simulation (shown above) run on the 1st of July, GFT correctly predicted that the hurricane would hit Texas. In contrast, the NOAA and ECMWF models wrongly predicted a landfall in Mexico, as [The New York Times](https://www.nytimes.com/interactive/2024/07/29/science/ai-weather-forecast-hurricane.html) recently reported. \n\nGFT is immediately available to our customers via our **Artificial Planetary Intelligence (API)**. The API allows users to easily query our models at any location on Earth, and it will become publicly available in the next few weeks. \n\n\n\nGFT is only the beginning. We are working towards state-of-the-art simulation infrastructure for verticals such as energy, climate, and agriculture.\n\n# **Team**\n\nWe are a team of scientists and engineers with years of experience in building large-scale AI simulations at Microsoft Research and Google Brain. Our work on weather and atmospheric chemistry simulations at Microsoft has been featured in [Nature](https://www.nature.com/articles/d41586-024-01677-2), [Bloomberg,](https://www.bloomberg.com/news/articles/2024-06-25/from-trump-to-ai-bill-gates-sees-climate-impacts-for-the-world) and [The Wall Street Journal](https://www.wsj.com/tech/ai/ai-is-learning-to-predict-the-weather-8968fa7c?st=d0o2so2v9r14bf2&reflink=desktopwebshare_permalink).\n\n\n\n# **Our Ask**\n\nDo you want to talk about the weather? Reach out to us at [founders@silurian.ai](mailto:founders@silurian.ai)! ",
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"body": "### **TLDR:**\n\nFloating solar will soon be the fastest, most sustainable way to deploy data centers. Bypass interconnection queues, HV equipment delays, turbine backlogs, and public moratoriums. Our 2030 target is 1 GW/wk.\n\n#### Launch video:\n\n\n\n#### Whitepaper:\n\n\n\nSolar is already at 700 GW/yr scale. Solar is the only technology that can match AGI timelines. \n\n\n\nLast week, NetworkOcean made history as the 1st to run a customer AI workload from the ocean, powered by solar.\\\n\\\nWe went from paper to deployed in the water in 53 days.\n\n#### Asks:\n\nShare the launch on X: \n\nAnd on LinkedIn: \n\nAnd share the NetworkOcean showcase tomorrow (9/29/26) to relevant investors and founders:\n\n\n\nEdit (10/1/26): Thanks for showing up to the event! \n\n\n\n\n\n\n\n_ad mare_\n\n[_founders@networkocean.io_](mailto:founders@networkocean.io)",
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"created_at": "2026-09-30T00:24:09.713Z"
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"title": "NetworkOcean - Underwater data centers",
"tagline": "We build underwater data centers to cut power usage by up to 30%",
"body": "### We are now building floating solar data centers. \nNew launch:\nhttps://www.ycombinator.com/launches/UYY-networkocean-floating-solar-data-centers\n\n\nOld launch:\n# **TLDR:**\n\nOur underwater data centers eliminate water consumption and reduce power usage by up to 30% through efficient cooling, creating **more capital-efficient and sustainable AI infrastructure.** \n\n**✴️ We have 2,048 low priced H100s you can reserve **[**_now_**](http://networkocean.io/)**_._**\n\n\n\n_Our 0.5 MW capsule in progress, to be tested underwater in the SF Bay in 1 month._\n\n# **Problem:**\n\nBy 2030, we’re projected to see:\n\n* $1T+ spent building data centers\n* 1T+ gal/yr consumed by data centers\n* 800+ TWh/yr by US data centers\n\n**💵 Cost:**\n\nBuilding a data center costs $10-20 million per MW of power capacity. 2/3rd of this cost is land, building, and cooling infrastructure. A GW facility requires a staggering $10-20 billion investment before purchasing any servers or switches.\n\n**🔌 Power:** \n\nPower capacity is the primary constraint in building new data centers. Real estate with high-power infrastructure and power availability is extremely high in demand.\n\n**💧 Water:**\n\nSince water usage doesn’t affect net-zero carbon goals, most hyperscalers prioritize energy efficiency by using water-intensive evaporative cooling systems. This approach is facing scrutiny, as evidenced by [Google's recent permit](https://www.reuters.com/world/americas/chile-partially-pulls-google-data-center-permit-seeks-tougher-environmental-2024-02-27/) issues in Chile. \n\n# **Solution: 🌊**\n\n**Underwater data centers.** \n\n1. They’re cheaper to build than on-land data centers, significantly reducing costs in land, building, and cooling infrastructure. \n2. They’re also cheaper to operate, with up to 30% lower power consumption and no water consumption.\n\n \n\nOther benefits: \n\n* Co-location with offshore power\n* Speed to deployment\n* [1/8th](https://natick.research.microsoft.com/) Hardware failure rate\n* Low latency to coastal cities (<2ms to all of SF from the Bay)\n\n**Have others tried this?**\n\n[Microsoft, 2016](https://natick.research.microsoft.com/): was the first to experiment with underwater data centers. They built a proof-of-concept capsule that showcased promising efficiency metrics. Despite this, the project remained a research testbed, with limited investment in underwater infrastructure, maintenance operations, and scaled deployments. Microsoft has [officially retired](https://www.datacenterdynamics.com/en/news/microsoft-confirms-project-natick-underwater-data-center-is-no-more/) the project and is focused on expanding their existing on-land data centers.\n\n[China moving ahead](https://www.datacenterdynamics.com/en/news/china-deploys-1400-ton-commercial-underwater-data-center/): since Microsoft’s Project Natick, Highlander was awarded an $880M contract to build 100 data center capsules around Chinese port islands.\n\n**Team:**\n\n\n\n[_Sam Mendel_](https://linkedin.com/in/sammendel2000) _and _[_Eric Kim_](https://linkedin.com/in/yekime)_, co-founders of **NetworkOcean**_\n\nSam and Eric met through robotics in 9th grade and worked together building underwater MHD generators throughout high school. Eric has patented a renewable energy device and developed various CV and LLM applications at Cornell, Merge, and Palantir. Sam, to fund his ocean tech ambitions, built various startups and hardware projects, most recently exiting a hiring marketplace for creators. A year ago, he built and deployed a floating web server that hosted our site in a port in the bay. \n\n### **Asks:**\n\nAs of this launch, **we have 2,048 H100s available NOW.**\n\n[Reserve 1-2,048 H100s](http://networkocean.io), minimum 1 week reserved, ≤ $2.10 / GPU / hr\n\nWe can operate GPUs cheaper than anyone else, but we will be constrained by capacity. If you know you will have future needs, please let us know soon, and we'll work to get you your GPUs!\n\n**_Ad mare -_** [_Founders@NetworkOcean.io_](mailto:Founders@NetworkOcean.io)",
"url": "https://www.ycombinator.com/launches/LcE-networkocean-underwater-data-centers",
"votes": 247,
"created_at": "2024-08-15T17:56:53.858Z"
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"full_name": "Thomas Marge",
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"title": "Rewbi - Using AI to optimize grid-connected battery storage",
"tagline": "Rewbi more than doubles grid-connected battery storage revenue.",
"body": "**We’re Rewbi!**\n\n**Rewbi uses AI to optimize grid-connected battery storage.** We generate revenue by charging batteries when electricity is cheap and discharging when electricity is expensive.\n\nWe rent battery storage for a fixed fee per month, and we earn **more than double** that fee in monthly revenue by dispatching the battery optimally.\n\nToday, power companies use human traders to manually track grid conditions and update the battery’s dispatch schedule. However, batteries can adjust their power output **100x faster** than traditional power generation (e.g., hydro, coal, nuclear, gas), with the ability to go from full-speed charging to full-speed discharging in under a minute. **Electricity prices change every 5 minutes, often by 300% or more.** Our AI better tracks 100s of live inputs, and it makes decisions faster than a human operator (with lower overhead), **more than doubling revenue**.\n\nSince starting YC, we’ve joined ERCOT (the Texas grid operator) as a registered power company.\n\n**Our Team**\n\n[Thomas](https://linkedin.com/in/thomas-marge) has built battery dispatch (and wind farm optimization) solutions for the past 8 years, including as founder of inBalance (YCW21, acquired by Stem, Inc. in January of 2023). [Derek](https://linkedin.com/in/derekmod) wrote his first commodity trading and risk management algorithm for a fund when he was 18, and he was the first technical hire at Adept - his models were used to raise over $400m. We’ve known each other for a decade - we met working together on grad level math courses as freshmen at Hopkins.\n\n**Asks**\n\nWe would love to speak with battery storage developers - message us at or email us at [founders@rewbi.com](mailto:founders@rewbi.com)!\n\n\n\n\n\n",
"url": "https://www.ycombinator.com/launches/Lkk-rewbi-using-ai-to-optimize-grid-connected-battery-storage",
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"created_at": "2024-08-30T16:53:42.510Z"
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"title": "Proxis: AI Email Agents with Your Context",
"tagline": "Your Emails, Written and Sent for You (Safely)",
"body": "**TLDR:**\n\nProxis auto-drafts and auto-sends emails based on your connected context and email history, mimicking your email style and tone.\n\nJoin for free: [proxis.ai](http://proxis.ai)\\\n\\\nhttps://youtu.be/9yamssS2oiA\n\nEmail volume is exploding. Launches and outbound campaigns create reply storms. Important conversations get buried while esoteric answers live in just a few people’s heads.\n\nWho feels this the most?\n\n* Founders and sales leaders running high‑velocity outreach\n* CX and ops teams fielding repetitive questions\n* Anyone whose inbox is their workflow\n\n**Enter Proxis**\n\n\n\nProxis connects to your knowledge and your inbox to draft and even auto‑send replies that sound like you — only when it’s confident.\n\n1. Context-first drafting. Plug in CRMs, Notion, Drive, Slack, help docs, and past email history so answers are accurate and on‑brand.\n2. Sends only when confident. High‑confidence replies auto‑send. Everything else stays in draft for review.\n3. Learns your voice over time. The more you send, the better it gets.\n\n**Configure any Rule**\n\n\n\n**Add Your Context**\n\n\n\n**Who Proxis is for**\n\nWe’ve built this for founders, operators, sales teams and email power users who constantly context-switch between tools and spend their days in email. If that sounds like you, we would love to have you on board.\n\nGet started for free: [proxis.ai](http://proxis.ai)",
"url": "https://www.ycombinator.com/launches/OnD-proxis-ai-email-agents-with-your-context",
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"title": "Proxis - the first dedicated platform for LLM distillation and serving",
"tagline": "Model serving optimizations to reduce compute costs.",
"body": "**Tl;dr:** [Proxis](https://www.proxis.ai/) is the first dedicated platform for LLM distillation and serving, unlocking production ready models at 1/10th of the cost.\n\n### The Problem\n\n* Fine-tuning frontier models like GPT-4 on proprietary data is expensive, and locks customers into one external closed source model provider. \n* These large models are 100x the price per-token of smaller Llama 3.1 models, and run nearly 10x slower. This makes them impractical to deploy at scale.\n* Closed source model lock-in means customers can’t tweak or tune their own model, or deploy on-prem for sensitive data solutions. \n\n### The Solution\n\nModel Distillation:\n\n* In model distillation, a large **teacher model** effectively fine tunes a smaller **student model** without the need for _labeled_ or _structured_ datasets. This ‘condenses’ large models down to the compute cost of small models.\n* Distillation results in near-frontier model quality, with efficient performance. This means we can achieve 5x the speed at 1/10th the cost.\n* With the release of Llama 405b in late July, open source frontier distillation became available to the public for the first time. \n\n### Growth & Market\n\n* Llama model downloads have grown 10x in the last year and are approaching 350 million downloads to date. There were 20 million downloads in the last month alone, making Llama the leading open source model family.\n* Llama usage by token volume across major cloud service providers has more than doubled in just three months from May through July 2024 when Llama 3.1 was released.\n* Monthly usage (token volume) of Llama grew 10x from January to July 2024 for some of the largest cloud service providers.\n\n\n\nSource: [Meta](https://ai.meta.com/blog/llama-usage-doubled-may-through-july-2024/)\n\n### The Team\n\n[Jackson](https://www.linkedin.com/in/jacksonstokes/) (CTO, on the left) **optimized the Gemini model at Google** for efficient deployment at massive scale. [Liam](https://www.linkedin.com/in/liam-collins-/) (CEO, on the right) built zero-to-one systems as a software engineer.\n\n\n\n### The Ask\n\nGive it a go! Sign up to our waitlist [here](http://www.proxis.ai/) to access Proxis-hosted Llama models at a cheaper cost than current offerings.",
"url": "https://www.ycombinator.com/launches/Lkv-proxis-the-first-dedicated-platform-for-llm-distillation-and-serving",
"votes": 43,
"created_at": "2024-08-31T15:11:45.184Z"
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"long_description": "Zuni builds AI agents that take on high-value professional work end-to-end - the email, admin, and internal tooling that eats a knowledge worker's week.",
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"body": "We’re Varsha and Zach, the co-founders of [Offstream](https://www.useoffstream.com/). We’re automating carbon compliance for project developers.\n\n👥 **The Team**\n\n\n\n5 years ago, [Varsha](https://www.linkedin.com/in/varsha-ramesh/) struggled through carbon compliance as a project developer at Indigo Ag. While she was at HBS, she spoke to hundreds of developers with the same challenges she faced, who all asked for a solution to their compliance bottleneck.\n\n[Zach](https://www.linkedin.com/in/zachjanicki) brings many years of full-stack software engineering experience at early-stage startups across compliance, legal, and accounting. He brings much-needed insight into building scalable products that replace people-intensive workflows.\n\n❗**The Problem**\n\nDespite a growing amount of funding (to the tune of $2T annually) flowing into new decarbonization projects, it is incredibly challenging for project developers to complete the paperwork needed to access that funding.\n\nToday, carbon project developers navigate a complex web of credits, regulations, and market standards. This information comes from local, state, and federal governments, NGOs, industry coalitions, and investors.\n\nTracking and reporting on compliance data is time-consuming, opaque, and expensive. The standards are dense, and most teams manage millions of data points in Excel and emailed PDFs, creating admin headaches.\n\n🏆 **The Solution**\n\n\n\nOffstream is a one-stop shop for carbon compliance, making it simple for carbon project developers to get compliant and stay compliant with regulatory and voluntary market compliance standards.\n\n\n\nUsers set up and generate life cycle assessments (LCA), which are a core component of all compliance standards. Offstream builds off the LCA to generate compliance documentation at a fraction of the cost and time of alternatives.\n\n[Are you ready to stop spending time on paperwork and spend more time scaling decarbonization? Join us.](https://www.useoffstream.com/)",
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"body": "Hey YC! We’re Dominik, Tim, and Julius from [Dodo](https://dodo.health).\n\nDominik and Julius grew up together, and we have known each other for 15 years. We were all in grad school together and just moved up from Stanford.\n\n# **TL;DR: Dodo handles front- and back-office tasks for specialty clinic end-to-end**\n\n* Our AI agents answer calls, send medical records, and refill prescriptions—fully autonomously, with no human in the loop\n* We are starting with veterinary clinics, and are expanding to dental and physical therapy\n* Same-day cancellations trigger automatic outbound calls, filling availabilities on short notice\n* This means: No more hold music, phone trees (”press 1 for x”), or voicemail beeps (sorry if you like listening to jingles for minutes on end 🎶)\n\n### **How you can help ❤️**\n\n* Know someone **who owns a specialty clinic, independently or through a larger corporate/PE?** We would be grateful for an introduction!\n* **Reach out **[**founders@dodo.health**](https://mailto:founders@dodo.health)** or book time on our **[**calendar**](https://dodo.cal.com)**.**\n\n### **Problem: Clinics can’t keep up with their admin work**\n\n* **🫥 Understaffed**: Clinics face labor shortages for administrative tasks, with staff feeling burned out due to long hours and inefficient workflows.\n* **🚆 Undertrained**: One in three medical receptionists leaves their job each year\n* **☎️ Phone-based**: Clinics handle up to 80% of their communication over the phone\n* **⏳ Result**: Bottlenecks in the front- and back-office, as clinics miss calls and clients. They also fail to fill in cancellations on short notice, decreasing efficiency. Callers spend 67% of their call time on hold\n\n### **Solution: AI EMPLOYEES for Specialty Clinics**\n\n* Handling all calls through verticalized AI agents trained on specialty knowledge and receptionists’ manuals (we’re talking literal binders 📚)\n* Interactions with internal software to update patient files, manage schedules, and execute necessary administrative tasks\n* Automatic outbound calls to fill missed appointments on short notice\n\n\n\n### **👨👦👦 Meet the Team**\n\nIf you’ve been to a specialty clinic recently, chances are you’ve seen us shadowing their front desk 🕵️♂️\n\n\n\n**Julius** [julius@dodo.health](https://mailto:julius@dodo.health)\\\n\n\n**Dominik** [dominik@dodo.health](https://mailto:dominik@dodo.health)\\\n\n\n**Tim** [tim@dodo.health](https://mailto:tim@dodo.health)\\\n",
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"body": "\n\nHello, we’re Alex and Devan, and we’re building the low-cost cruise missiles the United States needs!\n\n**What we’re building**\n\nAres is building a new class of anti-ship cruise missiles. We are going to deliver the capabilities that the DoD wants in a form factor that’s 10x smaller and 10x cheaper.\n\nOur missiles will be compatible with existing launch platforms, deliver smaller payloads at high subsonic speeds, and take out ships hundreds of miles away. We’re focusing on ground and ship-launched variants to start but will expand into air-launched versions, as well as versions with extended ranges and different payloads.\n\n**Why we’re doing this**\n\nA war with China in the Taiwan Strait would look nothing like what we've seen in Ukraine or the Middle East. Wargames within DoD and military experts are in agreement that the most useful weapons in such a conflict would be long range anti-ship weapons or cruise missiles.\n\nThe United States is not adequately prepared. In a potential conflict, our stockpiles will run out in weeks, and we currently don’t have the industrial capacity to build at a rate that could win a war, much less deter China. Higher-ups in DoD are waking up to the problem, and generals such as Major General Cameron Holt and officials such as Chairman of the House Select Committee on China Mike Gallagher have echoed this sentiment.\n\nRecent conflicts in the Middle East and Ukraine have shown that our weapons are too large, too expensive for the wars of today. Existing anti-ship cruise missiles are low-volume, multi-million dollar, 3,000 lb behemoths meant to take out large cruisers and destroyers.\n\nBut Chinese shipbuilding capability is far superior to ours, and we can’t make enough anti-ship missiles to counter. In addition, huge missiles aren’t needed to take out the smaller corvettes and frigates that make up the People’s Liberation Army Navy. And $3M missiles make even less sense to take out swarms of $200k small, unmanned surface vessels.\n\nThe DoD needs smaller, less expensive cruise missiles, and lots of them! But no one has delivered on that promise yet.\n\n**How we know how to do this**\n\nBoth of us have worked at multiple defense and munitions startups. [Devan](https://www.linkedin.com/in/devanplantamura) is an Army Psychological Operations and Navy combat veteran and has deep experience in operations and business development at well-funded defense startups. [Alex](https://www.linkedin.com/in/alextseng1/) was the first engineering hire at an earlier missile startup, built autonomous systems at Rivian and Stanford, and worked on turbojets at CSULB.\n\n**Where we’re at now**\n\nWe spent the summer building multiple prototypes and flight-testing them in the Mojave. In 11 weeks, we went from starting the company to flight testing with our own design. We are on track to deliver early working missile systems to our first customers by mid-2025.\n\nWe believe our vision for anti-ship cruise missiles can help fill the munitions gap that the US faces. At Ares, we would never wish for a war to occur. But by helping to rebuild our defense industrial base, we can make sure the United States is prepared to stop a conflict and save countless lives.\n\n**Our Ask**\n\nWe are looking for extremely talented aerospace engineers to help bring our prototypes to fruition. If you know any aerodynamics, propulsion, or GNC engineers who are interested in building something incredibly cool and want to make a positive difference in geopolitics, please send them our way!\n\n\n\n",
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"title": "🧭 Passage - Clearing goods just got easier",
"tagline": "AI co-pilot for clearing goods through customs.",
"body": "**tldr:** [Passage](https://www.trypassage.com/) is an AI co-pilot that helps businesses clear their imported goods through customs.\n\n# **🙏 Our Ask**\n\n* **Do you (or someone you know) work in logistics?** Whether you import goods, move goods (e.g., freight forwarders), or clear goods (e.g., customs brokerages), let us buy you a coffee and book some time with us [here!](https://calendar.app.google/krfxBvRqXMP416eW8)\n* Just want to give Passage a spin? Try it [here](https://assistant.trypassage.com?u=launchyc) for a limited time!\n\n# **⛔️ The Problem**\n\n* Every company that brings goods into the US (e.g., Apple, IKEA) needs to clear it through customs\n* The problem is that clearing customs is super complicated. It has tons of manual work, and if a business screws it up, they face thousands in penalties\n* This leads to businesses spending hundreds of thousands on customs services, only to spend hours on manual data entry and searching complex regulations\n\n\n\n# **⚙️ The Solution**\n\n* To tackle this, we’ve built a co-pilot to make clearing customs easier than ever for businesses\n* Have teams of people manually keying in data? We’ll help streamline the tedious data entry from shipping documents, so your team can spend time on the things that matter\n* Worried about submitting incorrect data to the government? We’ll check that the data is consistent across all your shipping documents and proactively flag if there’s anything that doesn’t line up\n\n\n\n* Struggle to understand complex regulations or classify products? We plug directly into key government resources like the code of federal regulations and product tariff schedule so you can clear your goods without the fear of huge penalties\n\n\n\n# **🧑🤝🧑 The Team**\n\n[Aditya](https://linkedin.com/in/aditya-nadkarni) and I ([Terrell](https://linkedin.com/in/terrellm)) are friends from college and even have a patent for an AI physical therapy platform. Since college, we’ve moved in together as roommates in San Francisco and have worked on AI products at Flexport and Google. Aditya helped build the AI document processing platform at Flexport (which is how we first learned of the many issues in the logistics industry), and Terrell shipped AI editing features used by Google Photos’ +1B user base.\n\n\n\nAbove is a photo of us after skydiving :) 🪂",
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"title": "Senior Security Engineer",
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{
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"title": "Mechatronics Engineer",
"url": "https://www.ycombinator.com/companies/weave-robotics/jobs/sw7JHXx-mechatronics-engineer",
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"type": "Full-time",
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},
{
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"title": "ML Research Engineer, Training",
"url": "https://www.ycombinator.com/companies/weave-robotics/jobs/q6hk8wb-ml-research-engineer-training",
"location": "San Francisco, CA",
"type": "Full-time",
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"title": "Robotics Systems Engineer, Triage",
"url": "https://www.ycombinator.com/companies/weave-robotics/jobs/IF1cpyN-robotics-systems-engineer-triage",
"location": "San Francisco, CA",
"type": "Full-time",
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{
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"title": "Software Engineer, Cloud Infrastructure",
"url": "https://www.ycombinator.com/companies/weave-robotics/jobs/5uselwk-software-engineer-cloud-infrastructure",
"location": "San Francisco, CA",
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"title": "UI & Interaction Designer",
"url": "https://www.ycombinator.com/companies/weave-robotics/jobs/JYLVrMh-ui-interaction-designer",
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"type": "Full-time",
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"title": "Software Engineer, Applications",
"url": "https://www.ycombinator.com/companies/weave-robotics/jobs/7Yy29iW-software-engineer-applications",
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"title": "Electrical Engineer, Power",
"url": "https://www.ycombinator.com/companies/weave-robotics/jobs/ZZyiOyV-electrical-engineer-power",
"location": "San Francisco, CA",
"type": "Full-time",
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"title": "Weave - Making the first personal robot built for the home",
"tagline": "We're making Isaac, the first personal robot built for the home—and it's shipping soon.",
"body": "We’re [Evan](https://x.com/alittlemorewine) and [Kaan](https://x.com/kaandogrusoz), the team behind [Weave](https://www.weaverobots.com) and [Isaac](https://youtu.be/ck_r-v-M3ug)!\n\n# **What’s the problem?**\n\nThe average American spends 3.5 years of their life on housework (cleaning, maintenance, laundry) that they don’t want to do.¹ Our customers (and everyone else we’ve spoken to) want to reclaim that time for themselves and their loved ones. Robots that automate this mundane, repetitive work won’t just finally mean that we’re living like the Jetsons; they’ll mean people get months or years of their lives back. \n\nIn order to do much of that work, they have to have a general-purpose design; they have to be capable (i.e., of manipulation across a long tail of tasks), and they have to be safe.\n\n# **We’re building Isaac to help**\n\n[Weave’s](http://www.weaverobots.com/) first robot, Isaac, is the first and only personal robot that meets these requirements for the home and is shipping soon. Isaac will tidy up endless messes, fold laundry, and care for your home while you’re away, and we’re shipping in the fall of 2025.\n\nIsaac acts autonomously when it’s given a voice or text command, or in response to an automation that’s programmed in our app. When Isaac isn't needed, its camera folds and turns off, its torso lowers, and it stows in the enclosure that's included with every order.\n\nAnd with Remote Op, users can request that Weave remotely operate their Isaac for a task it can't yet do autonomously.\n\n\n\n_Collecting data with our first prototype_\n\n# **What we’ve already built**\n\nIn two months, we’ve already:\n\n* assembled our first data collection system and prototype\n* trained Isaac's planner and VLA, combined them with a VLM in our ML pipeline\n* had Isaac autonomously complete its first tasks\n* got our first reservations for Isaac\n\n\n\n# **The team**\n\n[Evan](https://x.com/alittlemorewine) and [Kaan](https://x.com/kaandogrusoz) are best friends and roommates dating back to 2015 and their time at Carnegie Mellon. They're both Apple veterans: Evan most recently was a Lead AI PM who worked on Next-Gen Siri (Apple Intelligence). Before that, he shipped private, large-scale knowledge graphs for on-device personalization and marquee features like Communication Safety (child safety) and Focus modes. Kaan most recently was a manager in ML Robotics research, and before that, he was a staff ML researcher who shipped Double Tap on the Apple Watch and a lead embedded engineer on the iPhone who spent way too many weeks in factories debugging prototype hardware.\n\n\n\n### **Our asks**\n\nIf you know anyone who would be interested in having their own Isaac, have them check out our [website](http://weaverobots.com/), where they can now reserve one directly! Each Isaac costs $1000 to reserve and nothing more until we deliver in the fall of 2025. \n\n\\\nWe’re also happy to talk to interested folks in more detail; reach us at [founders@weaverobots.com](mailto:founders@weaverobots.com).\n\n\n\n¹ ",
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"title": "❓ Gauge Sentiment: See exactly how AI models talk about your brand",
"tagline": "How is your brand perceived by AI?",
"body": "Gauge now can tell you exactly how AI models talk about your brand.\n\n - When put in a head-to-head against your competitors, who wins?\n - In what ways are AI models bad-mouthing your brand? Talking up your competitors?\n\nGauge analyzes the results of these questions to tell you the exact positives and negatives surfaced.\n\nBeyond that, Gauge can actually trace the source of negativity back to its original destination - whether it be a\ncompetitor website, a social post, or something else.\n\nHere's a quick look at how that works:\n\n\n\nIf you're interested in learning how AI models talk about your brand, book a time here and we'll show you:\n\n",
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"title": "🚀 Gauge gives you visibility into ads in ChatGPT.",
"tagline": "🚀 Gauge is building the intelligence layer for ChatGPT Ads",
"body": "Gauge gives you visibility into ads in ChatGPT.\n\nWant to know what ads your competitors are running in ChatGPT? With Gauge, you can now see exactly what ad copy is getting run against any prompt you choose.\n\nGauge is also a single point to manage your ChatGPT ad campaigns. Simply link your API key and get instant insights into your campaigns, ad groups, and performance.\n\nGauge also breaks down everything by spend, impressions, and clicks - calculating CTR and CPC on the fly.\n\nHere’s a quick overview of how it works:\n\n\n\nAre you running ads in ChatGPT, or interested in seeing how your competitors are? Grab a time with our team and we’ll show you: ",
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"title": "🚀 Gauge: Your marketing agent for organic, paid, and AI search",
"tagline": "A single agent that can do the work of an entire marketing team",
"body": "With user behavior spreading across traditional and AI search, it’s never been more important to ensure that your brand is the answer. There’s a wealth of data distributed across GA4, GSC, keywords, prompts, ads, and more. This data is incredibly rich, but fragmented and complicated to understand.\n\nGauge unifies all of these data sources into a single agent that can do the work of an entire marketing team. Here’s how it works:\n\n\n\nWe started by building a best-in-class GEO/AEO platform, with a core focus on getting the right data. We quickly found that data alone isn’t enough. Our users kept asking:\n\n1. How can I make sense of all of this prompt/answer data?\n2. How does it relate to my existing data?\n3. What are the actual things I need to do to move the needle?\n\nOur agent interprets all of your data sources and executes high-value work for you. Gauge can run keyword research, analyze the competition, and track prompts over time for you. Once Gauge has all the data it needs, it can build and execute plans of attack, recommending and drafting focused content. Gauge also lives where you already work, with MCP and Slack bot support.\n\nGauge is already a core part of the marketing stack at some of the best YC companies - Supabase, PostHog, Mux, and more.\n\nIf you’d like to give Gauge a go, you can [try it now for free](https://www.withgauge.com/features/ask-gauge)! We also have a YC discount for 50% off your first month: FRIENDSOFYC\n\nOur main ask is feedback - would love to see you push our agent and make it uncomfortable! What do you want a marketing agent to do for you that it can’t do today?\n\n\n\n",
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"title": "Gauge - Show up in more AI answers",
"tagline": "💡 Gauge helps your company show up in more AI answers",
"body": "**Gauge helps your company show up more in AI answers.**\n\n### ⚠️ Why should you care?\n\n* [Google searches are falling for the first time ever](https://www.wsj.com/tech/ai/ais-threat-to-google-just-got-real-8280b4ee?utm_source=chatgpt.com) ([and Google itself is moving to AI answers](https://www.theverge.com/news/655930/google-q1-2025-earnings))\n* [Gartner predicts AI chatbots will capture 25% of search volume by next year](https://www.gartner.com/en/newsroom/press-releases/2024-02-19-gartner-predicts-search-engine-volume-will-drop-25-percent-by-2026-due-to-ai-chatbots-and-other-virtual-agents)\n\nWith traffic leaving search, traditional SEO is dying. Our customers are seeing inbound AI traffic **double every quarter**.\n\n### 💡How do we help?\n\nWe measure how often you and your competitors are referenced by AI, and derive insights from changes in the data over time.\n\nLet’s take a look at how this works:\n\nhttps://www.youtube.com/watch?v=HPXcshLuQD4\n\nWe came across this problem through an Open Source Day hosted by YC. There, we heard from a huge range of speakers, including Vercel, Elastic, Resend, and Airbyte. A consistent theme across every speaker was the new inbound they were seeing from ChatGPT.\n\nWe decided to run an experiment: [productrank.ai](http://productrank.ai).\n\n[productrank.ai](http://productrank.ai) lets you search for a topic, and see how the top models rank them. [Check it out here!](https://productrank.ai)\n\nIn just a few weeks, we reached the front page of HN, saw over 40,000 organic users, and found our first design partners.\n\nOur early customers include LendingTree, ChartHop, Resend, Helius, Standard Metrics, and more. If you’re curious in how often AI mentions your brand, [grab 15 minutes here and we’ll show you.](https://cal.com/caelean/15)\n\n### **❓Asks**\n\n* Play around with [**productrank.ai**](http://productrank.ai)!\n* Curious how often AI mentions your brand? [**Grab 15 min here!**](https://cal.com/caelean/15)\n* Know any marketers or SEO specialists? We’d love an intro! [**Send me their name here**](mailto:caelean@withgauge.com)!\n\n\n\n",
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"title": "Founder/CEO",
"founder_bio": "Ex-Mercedes Formula 1 engineer and computational biologist working to fight emerging biological threats",
"is_active": true,
"linkedin_url": "https://linkedin.com/in/abhirajen",
"x_url": "https://x.com/amino_abhi",
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"full_name": "Adam Wu",
"title": "Founder/CTO",
"founder_bio": "Building the smartest protein engineer in the world.\n\nShameless plug: check out 'adwuu' on spotify for a good time",
"is_active": true,
"linkedin_url": "https://linkedin.com/in/akhwu",
"x_url": "https://x.com/adaminoacid",
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{
"id": 92017,
"title": "Amina: The Agentic Protein Engineer",
"tagline": "Design, simulate, and test your proteins 100x faster with our no-code platform for protein engineering!",
"body": "**👋 Hey YC! We're Abhi and Adam from AminoAnalytica.**\n\n**Amina is the first AI agent for end-to-end protein engineering** – instead of wrestling with hundreds of fragmented tools, scientists can now design protein therapeutics through simple conversation.\n\n## **🎬 Trailer**\n\nhttps://www.youtube.com/watch?v=n8Pd9BJcbQA\n\n## **🧬 The Problem with Programmable Biology**\n\nThe 2024 Nobel Prize for Chemistry went to AlphaFold - proving we can predict and design proteins like software. These biological machines could solve climate change, cure diseases, and manufacture anything we need.\n\nBut here's the reality: **hundreds of new computational biology tools launch every week.** Even expert researchers stick to the same old methods they know, missing breakthrough tools that could accelerate their work by months or years.\n\n**Meet Dave, your friendly neighborhood protein engineer** 👨🔬\n\nDave is designing a cancer therapeutic, but his current workflow is broken:\n\n* **Inaccessible tools** → most have no UI, require specific hardware, must be built from source\n* **Fragmented ecosystem** → tools don't work together, requiring pages of glue code\n* **Constant obsolescence** → by the time he masters one tool, three better ones have launched\n\nThe result? **Scientists spend more time debugging code than designing life-saving therapeutics.**\n\n## **🚀 Our Solution**\n\n**What if you could just describe what you want in plain English?**\n\nInstead of wrestling with complex pipelines and staying up-to-date with every new tool, you simply tell Amina what protein you need and why.\n\n**Dave before Amina:**\n\n\n\n**Dave with Amina:**\n\n\n\n## **🔬 What Makes Amina Different**\n\nThis isn't just model hosting. Amina is trained on both scientific literature and our proprietary experience from engineering thousands of proteins for customers - it knows which tools to use when, how to chain them together, and how to interpret results. It's like having our entire computational team's expertise distilled into a single agent.\n\nWith our no-code interface, 50+ specialized tools work together seamlessly. Amina catches potential issues, suggests optimizations, and explains results in plain English.\n\n## **🎯 Our Vision**\n\n**Our ultimate goal is for Amina to design proteins autonomously** - think JARVIS, but dedicated to discovering breakthrough therapeutics. For now, it's like having an extra bioinformatician on your team that needs less care and attention than your cell cultures.\n\n## **🙏 Our Ask**\n\n**If you work in biotech, pharma, or have an interest in protein engineering** - we'd love your feedback on Amina.\n\n**Try it for free at [aminoanalytica.com](http://aminoanalytica.com)** - no setup required, start designing in 60 seconds.\n\nNeed extra credits? Just message us at [support@aminoanalytica.com](mailto:support@aminoanalytica.com)",
"url": "https://www.ycombinator.com/launches/Nw9-amina-the-agentic-protein-engineer",
"votes": 15,
"created_at": "2025-07-09T18:31:25.117Z"
},
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"id": 82706,
"title": "🧬 AminoAnalytica – Next generation proteins engineered with *protein* language models",
"tagline": "We’re creating the next generation of peptides and enzymes using our proprietary pipeline, powered by protein language models.",
"body": "Hey everyone – it’s [Abhi Rajendran](https://www.linkedin.com/in/abhirajen/), [Adam Wu](https://www.linkedin.com/in/akhwu/) and [Matteo Peluso](https://www.linkedin.com/in/matteo-peluso-872b85199/)\n\n**Tl;dr**: just look at the pictures ;)\n\n# **💞 The A(mino) Team**\n\n\n\n👨🏾 **Abhi Rajendran** – From Imperial College London to the Mercedes F1 Team, Abhi builds AI tools in data-intensive environments. AminoAnalytica was inspired by his computational bio master’s project and was the top AI x Robotics venture from Imperial in 2024.\n\n👦🏻 **Adam Wu** – With experience in academic and industry wet labs, Adam is now building his own. He has a background in materials science, tissue engineering and biosensing as a Thermo Fisher Scholar from Imperial.\n\n👱🏼♂️ **Matteo Peluso** – Bioinformatics PhD from the University of Zurich. His skills in biology, machine learning, and software development tie up everything seamlessly.\n\n👨🏻🦱 **Dr. Stefano Angioletti-Uberti** – Senior lecturer at Imperial, specializing in modeling biological and soft matter systems. He ensures models are based on the latest scientific principles.\n\n# **❌ Problem: better proteins are needed to accelerate global innovation**\n\n* Industrial and pharma companies prefer to use enzymes and peptides over harsh chemicals as they are more specific and sustainable.\n* However, natural proteins often lack stability, efficiency, or specificity for their desired applications leading to poor performance\n* Improving these proteins has been a costly and inefficient 'trial-and-error' process, where biotech companies randomly mutate existing proteins, test them, and repeat until success.\n\n\n\n# **✅ Solution: AminoAnalytica’s protein adaptation platform, powered by PLMs**\n\n* Like how ChatGPT understands human language, our **\"protein language models\" (PLMs)** understand biology and can optimize proteins for industrial and therapeutic use.\n* This allows us to perform in-silico protein property prediction, eliminating the need for thousands of lab tests.\n* We’re transforming the traditional ‘trial-and-error’ method into an ultra-high throughput and rational process.\n\n\n\n# **🤝 Any industry working with proteins can benefit from our tech**\n\nCurrently, we’re working on:\n\n* **Aquaculture feed** → enzymes for maximizing fish feed nutritional efficiency\n* **Pharmaceuticals** → peptide drugs with improved stability and specificity\n* **Climate tech** → enzymes for eco-friendly carbon capture\n* **Consumer goods** → safer enzymes for everyday products\n\n\n\n# **🐡 Get in touch with us!**\n\n* Upvote/share this post with your network and help spread the word!\n* If you (or anyone in your network) are as excited as we are about next generation industrial proteins and would like to learn more about what we’re doing, email us here - [founders@aminoanalytica.app](mailto:founders@aminoanalytica.app)\n* We’re also looking to expand **our advisory board** in the areas of aquaculture, fish testing, and feed manufacturing!\n\n\n\n",
"url": "https://www.ycombinator.com/launches/LVy-aminoanalytica-next-generation-proteins-engineered-with-protein-language-models",
"votes": 138,
"created_at": "2024-08-04T00:01:55.931Z"
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},
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"name": "Dench.com",
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"long_description": "Dench: AI CRM + Full-Service Deployment\r\n\r\nMost CRMs sell you software and hand you a 200-page setup guide. Dench is different. We're the only CRM that ships with an embedded team: we migrate your data, build your object schema, configure your integrations, train your people, and deploy AI agents that keep your pipeline clean without a Salesforce developer, a RevOps contractor, or a six-month implementation project.\r\n\r\nFrom day one, our team works inside your stack. We pull your existing data out of HubSpot, Salesforce, or whatever spreadsheet graveyard you're currently using, and rebuild it properly in Dench. Custom objects, custom fields, automation rules, integration config across Gmail, Slack, Notion, GitHub, LinkedIn, and 50+ other tools. Everything set up the way your business actually works, not the way a generic CRM template assumes it does.\r\n\r\nThen we train your team. Not a one-hour Zoom and a PDF. Real sessions that build CRM discipline: how to log activity consistently, how to keep data clean, how to use AI agents to do the repetitive work so your reps spend time selling instead of updating fields. Quarterly business reviews keep the system evolving as your pipeline grows.\r\n\r\nThe AI layer is what makes it permanent. Dench agents enrich leads automatically, move deals through stages based on real signals, draft outreach, log interactions, and flag hygiene issues before they compound. Your CRM stays accurate without someone babysitting it.\r\n\r\nNo implementation consultant invoice. No dedicated Salesforce admin headcount. No duct-taped automation stack. One engagement, everything included, starting at $1,500/month.",
"one_liner": "Workspace for your AI Agents, Build any Workflow.",
"team_size": 6,
"industry": "B2B",
"subindustry": "B2B -> Productivity",
"launched_at": 1720334032,
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"url": "https://www.ycombinator.com/companies/dench-com",
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"name": "Aaron Epstein",
"url": "https://www.ycombinator.com/people/aaron-epstein"
},
"founders": [
{
"user_id": 990824,
"full_name": "Mark Rachapoom",
"title": "Founder/CEO",
"founder_bio": "Co-Founder & CEO of Dench (dench.com); Founded Merse; Vercel AI Accelerator; Previously developed a top-ranking iOS app, reaching #3 on the App Store.",
"is_active": true,
"linkedin_url": "https://www.linkedin.com/in/markrachapoom/",
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"user_id": 455465,
"full_name": "Kumar Abhirup",
"title": "Founder/CTO",
"founder_bio": "Founder of Dench.com, formerly Merse. Worked alongside Naval Ravikant as engineer at Airchat. Sold my first company Beam (Substack for Texting) at the age of 16.",
"is_active": true,
"linkedin_url": "https://www.linkedin.com/in/kumareth",
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"jobs": [
{
"id": 78260,
"title": "Founding Engineer",
"url": "https://www.ycombinator.com/companies/dench-com/jobs/8WGRwRI-founding-engineer",
"location": "San Francisco, CA, US / Remote (San Francisco, CA, US; New York, NY, US)",
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"experience": "1+ years",
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},
{
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"title": "Chief Growth Strat",
"url": "https://www.ycombinator.com/companies/dench-com/jobs/cVcSPlW-chief-growth-strat",
"location": "US / Remote (US)",
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{
"title": "Empathy Meets Efficiency: AI Voice In Law, Healthcare And Collections",
"url": "https://www.forbes.com/councils/forbestechcouncil/2025/05/29/empathy-meets-efficiency-voice-ai-in-law-healthcare-and-debt-collection/",
"date": "May 29, 2025"
},
{
"title": "Business Insider - 13 Creator and Influencer Startups to Watch in 2024, According to VCs",
"url": "https://www.businessinsider.com/promising-creator-economy-influencer-marketing-startups-per-top-vcs-2024-10",
"date": "Oct 24, 2024"
},
{
"title": "The Journal by Fondo | Merse launches: Netflix for Audio-Visual Comics",
"url": "https://www.tryfondo.com/blog/merse-launches",
"date": "Jul 16, 2024"
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{
"id": 87857,
"title": "Dench.com — AI Intake for Law Firms",
"tagline": "AI Secretary to pre-qualify leads for Law Firms",
"body": "\n\n[Dench.com](http://dench.com/) is transforming legal lead qualification with AI voice agents. We’re doing to law firm intake what AI receptionists are doing to customer service—offering real-time lead qualification, 24/7 availability, and seamless CRM integration at a fraction of the cost.\n\nWe help law firms increase revenue by automating intake and monetizing unqualified leads through a compliant referral network.\n\nSince most people here aren’t our target customers, **we’d appreciate introductions to lawyers, legal intake teams, or law firm operators.**\n\nThe fully-managed system that intakes, follows-up with, manages, and updates clients. No human intervention required.\n\n---\n\n## **The Problem**\n\nLaw firms are overpaying for basic answering services that do little more than take messages.\n\n* **Missed after-hours calls:** Most law firms only accept intake during business hours, losing many clients that call after-hours.\n* **Limited Intake Staff:** Not every incoming potential client is vetted and then duly followed up with, because intake staff is already exhausted with a lot of work, and can cost $42K a year per intake specialist.\n* **High costs:** Services like Answering Legal charge $3.91/minute, and Ruby charges $235/month for just 50 minutes, they employ a human sweatshop somewhere in Georgia and sometimes in India which potential clients do not prefer.\n* **Wasted leads:** Many law firms turn away the majority of inbound leads without monetizing them through referrals.\n\n---\n\n## **Our Solution – AI Call Intake with our Lead Referral Network**\n\n\n\nDench replaces expensive human receptionists with AI voice agents that:\n\n* **Qualify leads in real-time:** Our NLP-driven AI assesses lead quality during calls, not after.\n* **Offer 24/7 availability:** No missed calls, no lost leads.\n* **Integrate seamlessly with CRMs:** Auto-syncs data to platforms like Clio Grow, eliminating manual entry.\n* **Monetize unqualified leads:** Converts rejected cases into paid referrals through a compliant network. We transfer the call to another AI representing another law firm that handles that kind of cases, and micro-transact the lead live, helping law firm earn for the referred lead.\n* **Schedule Consultations Automagically:** Intake staff would not have to call them back for anything as our AI handles all the followups, payments and everything right up to the end of the pipeline.\n\n---\n\n## **Key Features**\n\n* **Affordable pricing:** $0.99/minute, undercutting traditional services while offering superior automation.\n* **AI lead routing:** Instantly matches callers with the right attorney based on practice area.\n* **Regulatory compliance:** Built to comply with state-specific referral rules, ensuring ethical fee-sharing.\n* **Detailed analytics:** Track call performance, lead quality, and conversion rates.\n* **Automated Scheduling:** Intake specialist would never have to call again later, the AI handles all the followups until the consultation is scheduled.\n\n\n\n---\n\n## **Market Opportunity**\n\n* 450,000+ law firms in the U.S.\n* 150,000+ mid-sized firms (5–20 attorneys) — our core target.\n* Average mid-sized firm handles 80–100 calls/month.\n* Law firms in the US spend upwards of $4.5B for managing intake, and $22B in marketing and lead-generation expenses.\n\n**Revenue potential**\n\n* **Bottom-up Revenue Projection:**\n\n 150,000 × $0.99 (per call minute) × 4 (avg duration) × 100 calls x 12 months = **$712.8M ARR**\n* **1% market penetration:** $8.5M ARR\n* **5% market penetration:** $42.6M ARR\n* **10% market penetration:** $85.2M ARR, plus $12M+ from referral fees\n\n---\n\n## **Live Demo**\n\n\n\n---\n\n## **Founding Team**\n\n* **Mark Rachapoom:** Co-Founder & CEO of [Dench.com](http://dench.com/). Founded Merse. Vercel AI Accelerator. Developed an app that reached #3 on the App Store.\n* **Kumar Abhirup:** Co-Founder & CTO of [Dench.com](http://dench.com/), Worked alongside Naval Ravikant at Airchat, sold [itsbeam.com](http://itsbeam.com/) at age 16.\n\n---\n\n## **Our Ask**\n\n* **Introductions:** Know any lawyers, legal intake teams, or firm operators? We’d love to meet them. Please introduce them to us. Here’s a blurb you can send them easily:\\\n “[Dench.com](http://dench.com/) is an AI Intake Specialist Platform that take calls from prospective clients, talks to them (sounds totally human, it laughs, does uhms and aahs), vets them, conflict checks, does follow-ups and books an appointment, or it forwards the call to a human after client pre-qualification.\n\n They can work after-hours 24x7, they also integrate with Clio/Lawmatics.\n\n They convert rejected cases into paid referrals through their referral network, to land you huge profits over “wasted” leads.\n\n For a simple demo, try calling (415) 997-2939 as someone with any legal dispute, property or other variety of issues you can possibly imagine.”\n* **Beta testers:** We’re offering free trials to law firms interested in AI-powered intake.\n\n📧 **Email:** [founders@dench.com](mailto:hey@dench.com)\n\nJoin us in transforming legal lead qualification and full-stack lead generation and management.",
"url": "https://www.ycombinator.com/launches/Mr3-dench-com-ai-intake-for-law-firms",
"votes": 50,
"created_at": "2025-02-20T16:40:07.404Z"
},
{
"id": 82025,
"title": "Merse: The Netflix for audio-visual comics",
"tagline": "Comic reader and AI creator with audio effects",
"body": "\n\n# **⏰ TLDR;**\n\n**WE are the Netflix for Audio-Visual Comics,** with a wide range of premium entertaining content for comic readers.\n\n**YOU** can **HEAR THE CHARACTERS SPEAK** in 6 languages, with immersive soundtracks and crispy audio effects.\n\n**ARTISTS** can **EARN A LIVING** by creating, uploading, publishing, and monetizing comics. With a wide range of characters, voices and soundtracks to choose from. Artists can also generate audio effects and soundtracks at will using Merse AI. Our AI tooling handles text and voice translation of speech bubbles.\n\n**GET THE APP** @ [merse.co](http://merse.co/)\n\n---\n\n---\n\n---\n\n# **⚠️ The Problem**\n\n**Creating comics is a labor-intensive process** that requires significant time and effort.\n\nDespite the popularity of comics, producing them often **takes hours of meticulous work** using tools like Adobe Illustrator, or requires plain drawings. This limits the number of creators who can participate and the volume of content available to readers.\n\nThe comic reading experience has been the same for decades. On the other hand, **readers are looking for new and more immersive experiences.** While static images are the norm, there is a growing demand for interactive content that brings characters and stories to life with character voices and sounds.\n\n---\n\n---\n\n---\n\n# **🫶 Our Solution — Audio-Visual Comics**\n\n[**https://www.youtube.com/watch?v=uidjDsilxms**](https://www.youtube.com/watch?v=uidjDsilxms)\n\nThe Merse platform enables creators to generate high-quality, audio comics quickly and easily, and offers readers an immersive experience. You focus on crafting engaging stories; Merse handles all your tech, distribution, and monetization.\n\n---\n\n# **📸 Features**\n\n**• Generate comics using AI:** Our GenAI features create detailed comic panels from your scripts, creates compelling voices in multiple languages for each speech bubble, with AI generated sound effects, significantly reducing the time from concept to publication.\n\n**• Audio Effects + Soundtracks:** Be it the sound of gulping water, or cracking knuckles, it has it all.\n\n**• Read and Hear in 6 different languages:** 🇮🇳Hindi 🇫🇷French 🇨🇳Chinese\\\n🇯🇵Japanese 🇰🇷Korean 🇺🇸English\n\n**• Monetization options:** Choose how to monetize your content – keep it free, or charge users per episode.\n\n\n\n---\n\n# **🏪 The Market**\n\nThe biggest incumbent in this industry is Naver Webtoons. It’s the YouTube for static, hand-drawn comics. Over 120,000 artists draw and upload their episodes and get paid over $27M for their work, clocking in a revenue of over $1.4B a year and 170M monthly active readers.\n\n---\n\n# **🇺🇸 The Founders**\n\n\n\n[**Mark Rachapoom**](https://x.com/markrachapoom)\n\n**CEO of Merse,** 21-year-old founder, an engineer at heart with a great sense of design, college dropout, and fellow at Vercel AI Accelerator. He created Diary Dingo, an iOS journaling app that hit the top 3 in the App Store's Lifestyle category within 24 hours of launch.\n\n[**Kumar Abhirup**](https://twitter.com/kumareth)\n\n**CTO of Merse,** 20-year-old founder, dropped out of high school in Nashik, India, and worked alongside Naval Ravikant as an **Engineer at Airchat**, **1x Exited founder** @ [itsbeam.com](http://itsbeam.com)\n\n---\n\n---\n\n# **🙏 Our Ask**\n\n• **Connect us to creators and readers:** We’re looking to connect with comic artists, writers, and enthusiasts interested in innovative storytelling methods. Please reach us at [hey@merse.co](mailto:hey@merse.co), and we’ll follow up.\n\n• **Create on Merse:** Are you a passionate comic creator looking to transform your storytelling process? Start creating on our platform and own your storytelling journey! Share the comics you love on the Merse feed and on your socials, and help us gauge what content works best.\n\n• **We are looking to seed content:** CONTENT IS KING! It’s important we have a good catalog of content before future launches. If you want to help us with filling Merse up with exciting content, and have ideas, or want to work with us, contact [hey@merse.co](mailto:hey@merse.co)\n\n• **If you have experience going viral on TikTok / Reddit or are a good growth hacker and would love to help us**, contact us.\n\nJoin us in helping artists story-tell with Merse.\n\n\n\n",
"url": "https://www.ycombinator.com/launches/LKz-merse-the-netflix-for-audio-visual-comics",
"votes": 27,
"created_at": "2024-07-10T14:18:03.616Z"
}
]
},
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"id": 29698,
"name": "AutoPallet Robotics",
"slug": "autopallet-robotics",
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],
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"website": "https://autopallet.bot",
"all_locations": "San Francisco, CA, USA",
"long_description": "We’re building the next generation of warehouse robotics.\r\n\r\nIn the US today, retailers spend approximately $10B per year paying human laborers to pick up and move cardboard boxes in warehouses. Existing solutions for automating this are expensive and difficult to install, which is why manual operation is still so prevalent.\r\n\r\nOur solution is different. We make swarms of small mobile robots that install into existing warehouses to provide a low-cost and robust automation solution for case picking and mixed-SKU palletization. Our novel technology allows these robots to be installed and operate at significantly lower cost than existing solutions while being both flexible and robust.",
"one_liner": "We make robots that move boxes in warehouses",
"team_size": 6,
"industry": "Industrials",
"subindustry": "Industrials -> Manufacturing and Robotics",
"launched_at": 1723496700,
"tags": [
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"Warehouse Management Tech",
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"question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
"answer": "Eric and Nathan met at Olin College, where they worked on 15 group projects together. "
}
],
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"url": "https://www.ycombinator.com/people/jared-friedman"
},
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"user_id": 242906,
"full_name": "Nathan Yee",
"title": "Founder/CEO",
"founder_bio": "Nathan is the co-founder and COO of AutoPallet Robotics.\n\nAt 18, he graduated as the valedictorian of College of Alameda and then studied Engineering with Computing at Olin College where he met Eric. He has since built ML models for MBARI, consulted for the DIU (xView2) and WashU (drug discovery), and built core software for lab automation robotics at Trilobio.",
"is_active": true,
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{
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"full_name": "Eric Miller",
"title": "Founder/CTO",
"founder_bio": "Eric is the co-founder and CEO of AutoPallet Robotics.\n\nAfter graduating from Olin College in 2019, he led the Subject Tracking and Autonomy Infrastructure teams at Skydio, rapidly growing from individual contributor to lead a team of 6 engineers.\n\nEric is a multidisciplinary robotics engineer with significant experience building modern robotics stacks, from hardware and electronics through perception and high-level software.",
"is_active": true,
"linkedin_url": "https://www.linkedin.com/in/olin-eric/",
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"launches": [
{
"id": 83238,
"title": "🤖 AutoPallet Robotics: The future of case picking in warehouses",
"tagline": "AutoPallet Robotics uses swarms of hundreds of mobile robots to do case picking in existing warehouses.",
"body": "# TL;DR\n\n* AutoPallet Robotics unlocks automated case picking for existing warehouses. Our novel system delivers rapid ROI by leveraging the current infrastructure to deploy swarms of hundreds of small, agile, mobile robots.\n* Want to get in touch? [**connect@autopallet.bot**](mailto:connect@autopallet.bot) or [send us an inquiry](https://forms.gle/YT1XLadSpWaKAa668)\n\n\n\n# The Team\n\n\n\n**Nathan and Eric** met at Olin College of Engineering 9 years ago, where they collaborated on over 15 projects.\n\n**COO** - [Nathan](https://www.linkedin.com/in/nathanielyee/) brings four years of experience in machine learning. In his previous position, he worked on robot software and explored heuristic-based and RL-based methods for multi-robot scheduling.\n\n**CEO** - [Eric](https://www.linkedin.com/in/olin-eric/) has extensive experience creating hardware, electronics, and software for modern robotics systems, including five years at Skydio, founding and growing the Autonomy Infrastructure team.\n\n# The Problem\n\n**Case picking for order selecting**, a critical task in the supply chain for grocery stores, retail, and restaurants, remains largely manual in U.S. warehouses. We estimate that **over 30 billion cases** are manually moved between pallets annually, resulting in labor costs exceeding **$10 billion** each year.\n\nCurrent automation solutions are prohibitively expensive and fall into two main categories:\n\n1. **Build a new warehouse** with extensive conveyor belt systems, industrial robot arms, and high-density case storage. Costs range from **$100M to $350M per warehouse**.\n2. **Install large mobile robots** that directly replace humans in existing warehouses at a cost of **$300k to $500k per unit**. This high capital expenditure and long ROI period make them infeasible for many businesses.\n\n## Our Solution Is Fundamentally Different\n\nWe've developed a way to retrofit existing warehouse infrastructure with swarms of affordable, agile robots to automate the order-selecting process. This approach eliminates the need to rebuild warehouses from scratch or invest in expensive large mobile robots. We are designing our system to:\n\n* **Meet or exceed** your current throughput—our robots work in swarms, easily picking tens of thousands of cases per shift.\n* Ensure **resilience** through a decentralized swarm that continues operating even if several robots fail.\n* Optimize **multi-stop deliveries** and create **maximally dense pallets** using an **AI-powered** pallet-building algorithm.\n* Deliver a typical ROI in **less than** **12 months**.\n\n## How You Can Help\n\nWe’re actively seeking **partnerships and collaborations** to propel our mission forward. If you or anyone in your network is interested in exploring opportunities or learning more, we’d love to connect! We’re especially interested in engaging with:\n\n* Retailers and 3PLs operating distribution centers\n* Grocery and Broadline Foodservice Distributors\n\nIf this resonates with you or someone you know, please don’t hesitate to reach out! [**connect@autopallet.bot**](mailto:connect@autopallet.bot) or [send us an inquiry](https://forms.gle/YT1XLadSpWaKAa668)",
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"body": "Hey everyone, we’re Sid and Ritvik — the founders of [Pulse AI.](https://www.trypulse.ai/)\n\nWe first developed this API for a very specific use case in supply chain and got it to work across various unstructured documents used in the field. We were simply unable to find another solution on the market that worked well. Our original plan was to keep it in-house, but we soon started getting requests from dozens of companies to use this API on their own. \n\n# **❌ The Problem**\n\n**Most enterprise data is unstructured, making it difficult to parse with LLMs**\n\nApproximately 75% of enterprise data is unstructured, the majority of this is directly within PDF files. This makes it extremely difficult to build RAG applications with this data, and ingestion is often the bottleneck.\n\n**Current solutions are slow, inaccurate, and expensive**\n\nWe personally tested nearly every other tool on the market and found they lack accurate contextual understanding, multi-column PDFs, and multimodal documents. Most of the current technologies are simply wrappers on Textract or Gemini — which have their own inherent flaws. \n\n# **✅ The Solution**\n\n**Pulse STUDIO Vision API, a SOTA document/spreadsheet vision model** \n\nWe’ve trained our own set of Vision Language Models (VLMs) and OCR techniques to bridge this gap. We achieved what we think to be a state-of-the-art (SOTA) vision model for documents and spreadsheets. You’ll get bounding boxes across your documents and spreadsheets, alongside incredible OCR on tables and graphs. \n\nWe’re also actively working on a novel reasoning tool on spreadsheets using this technology – stay tuned!\n\n\n\n# **🧩 Team**\n\nThe founding team has deep machine learning experience at Tesla, NVIDIA, D. E. Shaw, and AWS — as well as research experience at world-class AI labs at Berkeley and Georgia Tech.\n\n# **🙋Our Ask**\n\nOur API is deployed in companies across hardware, healthcare, manufacturing industries and more. We’re expanding rapidly! [Fill out this form for access](https://studio.trypulse.ai/signup) and we will reach out within 24 hours with playground access. More info on the product page [here](https://studio.trypulse.ai/). \\\nPlease share this post, as you never know who it may help! Feel free to contact us directly at [sid@trypulse.ai](mailto:sid@trypulse.ai) if you would like to try it out and follow us on [Linkedin](https://www.linkedin.com/company/pulse-ai-corp/).",
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"title": "LedgerUp: Handle all Billing from Slack",
"tagline": "Meet Ari, your AI teammate that handles all billing and revenue from Slack",
"body": "### **TLDR;**\n\nLedgerUp built an AI revenue teammate—[Ari](https://ledgerup.ai/)—to eliminate the multiple tools to juggle to get from “contract signed” to “cash in the bank.” [Ari](https://ledgerup.ai/) integrates with your CRM, automates invoicing, chases payments, and lives in Slack with real-time revenue data. The result? No more manual data entry, overdue payments, scattered data, and hiring FTEs to spend countless hours wasted in back-and-forth amongst different departments.\n\n_Below is an example of CRM → invoice process:_\n\n\n\n### **Why does this matter?**\n\n3 out of 4 businesses face payment delays, with the root cause beginning at the invoice creation stage.\n\n**The Pain**: Most companies juggle contract softwares (ex: DocuSign/PDFs), spreadsheets, and a manual billing process riddled with errors, overdue payments, and hours spent data-entering.\n\n**Why It Matters**: These inefficiencies lead to missed revenue, cash flow constraints, and wasted staff time. Founders often feel they need extra full-time staff just to manage invoicing.\n\n### **How does Ari solve this?**\n\nSignature to Revenue, _Automatically_\n\nAri takes over the moment a contract is signed:\n\n1. Zero-Touch Contract Import: Signature lands → Contract processes → Revenue flows. All automatic, all instant. \n2. Intelligent Revenue Automation: Every signed agreement is automatically billed to its unique billing requirements\n3. Real-Time Slack Updates: Approve the final output in Slack and ask questions as needed\n\nWhile others offer yet another tool to learn, **your AI teammate takes over the moment a contract is signed.**\n\n### **Our ask**\n\nFrom startups to enterprises, every business faces contract-to-cash challenges. If you know revenue leaders who'd benefit from an AI billing teammate, we'd be grateful for an introduction!\n\nWho we serve well:\n\n* **Finance & Ops Teams:** automating billing operations while maintaining GAAP compliance\n* **Founders & Revenue Leaders:** who need clear revenue visibility without the operational overhead\n* **CFOs & Controllers:** seeking accurate, real-time revenue data and forecasting 💰\n* **Sales & Customer Success:** teams who want to focus on relationships, not invoice follow-ups\n* Email us at [founders@ledgerup.ai](mailto:founders@ledgerup.ai)\n\nBetter yet if you have a business that has contracts, **try Ari**: [Sign Up Here](https://www.ledgerup.ai/demo) or **Schedule a Call** with us: [Book a Short Call](https://cal.com/joe-ledgerup/15min).\n\n### **Team/Origin Story**\n\nDuring his years as a finance director for startups, [Joseph](https://www.linkedin.com/in/joseph-johnson-/) lived the revenue operations nightmare firsthand. His days were consumed with juggling dozens of different apps – one for contracts, another for invoicing, yet another for payment tracking, and endless spreadsheets to tie it all together. \n\nThe \"_solution_\" was always to hire more FTEs to manage the chaos, but that just shifted the burden of wrestling with broken processes to someone else.\n\nTeaming up with his childhood friend [Bailey](https://www.linkedin.com/in/bailey-spell-b487ab149/), who had been building AI Agents for the past 2 years, they recognized this wasn't just their problem – it's a universal pain for any company with contracts that need to get paid. \n\nThey're on a mission to liberate founders and finance teams from revenue operations chaos, giving them back the time and clarity needed to focus on what matters most: growing their business.\n\n\n\n",
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"title": "LedgerUp - Your AI teammate that handles all billing and revenue from Slack",
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"body": "Hey everyone! We’re Joe and Bailey from LedgerUp. We leverage AI to handle back-office finance and accounting tasks so you can get back to running your startup.\\\n\\\n**Tl;dr**\n\nUse [LedgerUp](https://ledgerup.ai/) to take care of back-office finance and accounting tasks. From daily bookkeeping to investor-ready reporting, we handle everything in between, and with integrations directly into your email/Slack inbox you are only a click away from automating a task or gathering insights on your financials.\n\n❌ **The Problem**\n\nAs a startup founder, you need to focus on PMF and scaling your business. You shouldn’t have to worry about your finances. Right now, you might be:\n\n* Wondering about your burn rate or spending\n* Struggling to keep up with bills and invoices\n* Spending too much time on bookkeeping (_or overpaying_)\n* Dealing with mistakes in your financials\n* Unsure if your books are correct\n* Sprinting to get financials ready for investors\n* Using ChatGPT/Perplexity for one of the above tasks but frustrated that the output has to be manually entered into your accounting software\n\n✨ **Our Solution**\n\nSimply connect LedgerUp to your current tools (QuickBooks, Stripe, Bank Account, etc.), and we handle the rest. Our AI Bookkeeping and Finance Assistant can help you…\n\n🚀 Keep track of your burn rate and spending daily\n\n💼 Create & send invoices and subscriptions from contracts\n\n💰 Have customers pay you on time\n\n🧾 Enter and pay bills easily\n\n📊 Have financials always ready for investors\n\n📅 Be ready for tax season without stress\n\n⏳ Save time by automating bookkeeping tasks\n\n🔍 Ensure your financials are accurate and detailed\n\n\n\n🙌 **Our Asks**\n\nTry [LedgerUp](https://ledgerup.ai/)↗️! We will make your bookkeeping and finance easy and worry-free.\\\n\\\n**The Deal:** $100 off + free bill and invoice management included (_for first 3 months_)\n\nFollow us on [Twitter](https://x.com/tryLedgerUp) or [LinkedIn](https://www.linkedin.com/company/ledgerup-ai/). Our inboxes are always open.\n\nShare this with any startup founders or small businesses who need better bookkeeping and finance solutions.\n\nIf you have 10 minutes to chat about LedgerUp, please [book a time](https://cal.com/joe-ledgerup/10-minute-meeting) with us😊\n\n\n\n",
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"body": "[Modus](https://www.himodus.com) is headcount management that helps companies never over-hire as they scale. Modus brings Finance, HR, and Hiring Managers to detect, inspect, and correct their workforce plan in one unified workflow.\n\nToday, much time is wasted reconciling headcount across departments and exporting across disparate systems. Incomplete and outdated data adds to the pain. Companies overhire, then fire. Cycle perpetuates. Bloat and inefficiencies persist.\n\n[Lin](https://www.linkedin.com/in/linling1/) experienced these pains directly as VP of BizOps at HashiCorp, scaling from 100 to 2500 through IPO. Modus was founded on the belief that companies should have the fewest employees possible.\n\n# \n\n\n\n# 🤯 **The Problem: Headcount planning and reporting remains manual and painful**\n\n\n\nOverhiring in tech has led to over 200,000 layoffs, costing companies billions. Workforce costs account for 70-80% of a company’s expenses, yet companies still make workforce decisions in error-prone, manual spreadsheets with incomplete data. Re-orgs, department changes add to the pain. Reconciliation is messy and time-consuming. Accuracy suffers. The cycle perpetuates. As Taylor Swift might say, _“I’ve seen this film before, and I didn’t like the ending.”_\n\n# 🪄 **Our Solution: AI-powered headcount management**\n\nModus integrates with your existing HRIS and ATS systems, using AI to help you detect anomalies, inspect, and correct your workforce plan.\n\nWith Modus:\n\n❌ Overhiring\\\n❌ Layoffs\\\n❌ Incomplete data \\\n❌ Useless meetings \\\n✅ Hire and retain only the people you need\\\n**✅** Increase visibility\\\n**✅** Collaborate off a single source of truth\\\n**✅** Save costs as you scale\n\nThe more Modus learns, the more it streamlines and automates your headcount management processes at scale.\n\n# 🙋🏻♀️**The Ask**\n\n**Share this post!**\n\nKnow anyone in your network managing headcount, bogged down by spreadsheets? A VP in Finance, HR, or Operations? Please share this post (or the blurb below).\n\n* _Modus is headcount management to save costs as you scale. With the help of AI, our software analyzes extensive data across your organization, helping you remove the bloat and correct your workforce plan – all in one unified workflow. Founders are Lin (ex-HashiCorp), Amar (ex-Finfare), and Chris (ex-OpenGov, 2x founder) with combined experience scaling companies from 0 to 1, to $8B+, and through IPO. Contact _[_lin@himodus.com_](mailto:lin@himodus.com)_ for a demo and trial._\n\n\n\n",
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"title": "Lighthouz AI: AI to automate collections for freight brokers and 3PLs",
"tagline": "Freight brokers and 3PLs collect what they're owed 5-8 days faster — without adding headcount to AR",
"body": "Freight brokers and 3PLs run lean accounting teams that spend their days chasing money that's already earned. Every unpaid invoice means emailing a customer, checking a portal, following up again a week later, and manually deciding which accounts are actually at risk — work that scales linearly with headcount and doesn't get easier as a book of business grows. DSO creeps up not because customers refuse to pay, but because no one has time to chase every invoice consistently.\n\nLighthouz built Lucie, an AI collections agent purpose-built for freight finance. Lucie works customer accounts the way a best-in-class AR analyst would, just continuously and across every account at once:\n\n* Email Collections Agent — drafts and sends context-aware payment reminders and follow-ups, escalating tone as invoices age\n* Portal Collections Agent — logs into customer payment portals to check status and submit documentation, so nothing stalls waiting on a portal check\n* Collections Work Queue — surfaces the accounts that actually need a human, with full context, instead of a flat list of overdue invoices\n* AR Risk Dashboard — flags at-risk accounts early using payment-behavior signals, before they become write-offs\n\nEvery action Lucie takes is visible to the AR team, with clear ownership indicators showing what's automated and what's waiting on a person — collections teams stay in control of the relationship, they just stop doing the busywork.\n\nFounders:\n\nSrijan and Sonali are married co-founders who met at IIT during undergrad and bring 15+ years of combined AI and supply chain experience. Srijan was a CS professor at Georgia Tech, a former Google research scientist, and a Stanford postdoc with 60+ publications. Sonali spent a decade as an AI/data engineer in fintech and insurance, including at Halliburton, Progressive, and American Family.\n\nKey Metrics:\n\n* DSO reduction: 5-8 days faster to collect\n* 30%-50% reduction in overdues \n* 45% of collections touches now automated\n* One AR specialist manages 2x more accounts\n\nTraction:\n\nLighthouz already powers finance operations of 40+ freight brokers and 3PLs, including Hoplite Logistics, Southern Reins Logistics, ADL, and NAD Logistics. Lighthouz AI has won the TIA 2025 and 2026 Technovator Awards.",
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"title": "Lighthouz AI: AI to automate AP and AR for freight brokers and 3PLs",
"tagline": "3PLs invoice customers within 24 hours of delivery & get paid 5 days faster",
"body": "https://www.youtube.com/watch?v=SNdu7kqN0MY\n\nFreight brokers and 3PLs still run AP and AR manually.\n\nAccounting teams spend days processing carrier bills, chasing missing PODs, delaying customer invoicing, and collections efforts. Cash flow stagnates. Before Lighthouz, teams typically take 3–5 days to approve carrier bills and send customer invoices — and still miss errors like duplicate payments and invalid accessorials.\n\n**At Lighthouz, we’ve built freight-native AI agents to automate AP and AR for brokers and 3PLs. With Lighthouz, brokers are invoicing customers within 24 hours of delivery and reduce days-to-get-paid by 5 days.** \n\n### **Who we are**\n\nWe’re **Srijan and Sonali**, the founders of **Lighthouz AI**. We’re part of YC S24. \n\nWe met a decade ago during undergrad at **IIT**, have been building together ever since, and have been married for 5+ years. Srijan and Sonali have 15+ years of combined experience in AI and supply chain, building AI systems for companies like Halliburton, The Home Depot, Google, and more. \n\n* **Srijan** an award-winning AI scientist with **60+ publications and 6,000+ citations**. He’s been a **CS professor at Georgia Tech**, an **ex-research scientist at Google**, completed his **postdoc at Stanford**, and earned his **PhD from the University of Maryland**.\n* **Sonali** is a former **Lead AI Engineer** at **Halliburton**, **Progressive Insurance, and American Family**, specializing in **unstructured data** and building production-grade AI systems from scratch. She earned her **MS from the University of Washington**.\n\nWe’ve spent our careers building and deploying AI for complex, messy real-world data — which is exactly what freight finance looks like.\n\n### **What Lighthouz AI does**\n\nLighthouz handles the entire freight billing workflow:\n\n✅ Ingests **carrier bills, PODs, BOLs, lumpers, and invoices** from email and uploads\n\n✅ Extracts and structures **all freight data** — rates, accessorials, remit-to, signatures, handwritten notes\n\n✅ Verifies carrier bills against **rate confirmations / quotes**\n\n✅ Detects exceptions like **duplicates, overbilling, missing PODs, wrong factors, and invalid accessorials**\n\n✅ Auto-approves clean bills and routes **only true exceptions**\n\n✅ Approves and submits **customer invoices within 24 hours of delivery**\n\n✅ Sends automated **collections reminders** to customers pre- and post-due date \n\n✅ Creates a work queue for human collectors \n\n✅ Posts clean, validated data directly into the **TMS with full audit trails**\n\n### **Why this matters**\n\nManual AP/AR quietly kills cash flow in freight. Before Lighthouz, teams typically take **3–5 days** to approve carrier bills and send customer invoices — and still miss errors like duplicate payments and invalid accessorials.\n\nWith Lighthouz:\n\n* Processing time drops from **3–5 days → <24 hours**\n* Days to get payment from customers reduces by 5 days \n* One AP specialist can process **4–5x more volume**\n* Errors and rework drop dramatically\n* Teams scale without adding headcount\n\nThis isn’t generic automation. Lighthouz is freight-native, built for multi-stop loads, multi-document PDFs, missing pages, rotated scans, handwritten notes, and factoring response workflows.\n\n### **Where we are**\n\nWe are already working with leading freight brokers and 3PLs in the US and Canada. \n\n**Ask** ❤️\n\nIf you know freight brokers or 3PLs, please introduce us!",
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"body": "\n\n# TL;DR\n\n[Benchify](https://www.benchify.com/) is a code review tool that uncovers real bugs by actually running your code on strategically generated inputs, using methods typically restricted to rocket science and chip design. When errors are found, Benchify provides verified bugs, unit tests, and a patch (coming soon).\n\n# The problem\n\nEngineers (like you) spend almost half their time testing and debugging, which, let’s be honest, they’d rather spend doing literally anything else.\n\n* **Lower velocity:** Projects are delayed by testing & debugging\n* **Site outages:** Despite all the effort, critical errors slip through, leading to site outages and other failures\n* **Low test coverage:** Developing exhaustive tests is nearly impossible and generally put off for later…\n* **Shallow test depth:** Testing is limited to a few hard-coded cases\n\n# The solution\n\n\n\nWe test your code using _magic_ (ok, formal methods) and deliver the results in an actionable comment on your PR.\n\n* **Automatic logical blueprint:** Benchify automatically writes a blueprint that says how your code is intended to function\n* **Run thousands of tests:** Benchify tests your code against the blueprint using thousands of strategically generated inputs\n* **Provide counterexamples:** Concrete, minimal counterexamples are provided when code fails so you can easily debug\n* **Generate unit tests:** We automatically translate counterexamples into unit tests for easy reproducibility and test-driven development\n* **Propose solutions:** When Benchify detects an error, it attempts to propose a solution, which it subjects to the same battery of tests as the original code\n\n## Does it work?\n\nThe testing techniques Benchify uses are typically leveraged for mission critical use cases, such as silicon chip design, rocket engineering, and high-speed trading. Our secret sauce is in making these techniques usable and actionable. \n\n# The Team\n\n\n\nMax and Juan first met as bright-eyed freshmen at Dartmouth College almost a decade ago and have been fast friends and on-and-off roommates since. They’re deeply passionate about software assurance (who isn’t?) and excited to test your code.\n\n* [**Max**](https://www.linkedin.com/in/max-von-hippel-3b90742a8/) holds a PhD in Computer Science from Northeastern University, focused on security and interactive theorem proving. He has worked at NASA, the DoD 😉, and Galois. Most importantly, he holds a Blue Belt from 10th Planet Jiu Jitsu. \n* [**Juan**](https://www.linkedin.com/in/juan-castano97/) built and sold a business, helped companies like Instawork and Klaviyo grow, and advised on deals at McKinsey. Juan double-majored in Economics and survival skills at Dartmouth (okay, the second one isn’t official), and later picked up an MBA from MIT, where he unfortunately missed out on a chance to test his skills with the [pirate certificate](https://physicaleducationandwellness.mit.edu/about/pirate-certificate/).\n\n# Asks\n\n* Hop on a [call](https://calendly.com/d/cpyy-ffc-ynf/juan-max-30-min) with us to try out Benchify or talk about your frustrations with software testing\n* [Try out](http://www.benchify.com) our beta code reviewer and give us feedback\n* Shoot us an email at [hello@benchify.com](mailto:hello@benchify.com) with your biggest backend software testing pain points, and we’ll see if we can help out!",
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"body": "**TL;DR**\n\ncmux is a Ghostty-based terminal with vertical tabs, notifications, and in-app browser, built for multitasking with coding agents.\n\ncmux is trusted by thousands of builders from Nvidia, Google, OpenAI, and more. In two weeks, we’ve gained 3.5k GitHub stars.\n\n\n\n\n\n**Hey, we’re Austin and Lawrence.**\n\nThe future is pointing towards an IDE-less world. In fact, the best engineers have already stopped using VS Code and Cursor.\n\nBoris Cherny, the creator of Claude Code, has not opened an IDE since last November. No one knows what the best workflow looks like yet, but it has never been more urgent to experiment with AI or be left behind.\n\nBut our current tools aren’t built for this. If you try running multiple Claude Code or Codex sessions in a standard terminal, you’ll find yourself in the midst of chaos. On the flip side, GUI orchestrators lock you in and lack the flexibility for experimentation.\n\n**That’s why we built cmux: an open-source terminal primitive for exploring the future of agent-driven workflows.**\n\n\n\nWe wanted a lightning-fast native macOS (Swift/AppKit) terminal with features you need for managing fleets of coding agents:\n\n* Vertical tabs\n* Blue rings around panes that need attention\n* Built-in browser\n* Based on Ghostty\n\n\n\n\n\n\n\ncmux also has a built-in CLI that allows coding agents to command cmux’s browser, create new workspaces, and start off other agents in new terminals. AI can use cmux exactly like you would.\\\n\\\n\n\n**The zen of cmux**\n\ncmux is not prescriptive about how developers hold their tools. It's a terminal and browser with a CLI, and the rest is up to you.\n\ncmux is a primitive, not a solution. It gives you a terminal, a browser, notifications, workspaces, splits, tabs, and a CLI to control all of it. cmux doesn't force you into an opinionated way to use coding agents. What you build with the primitives is yours.\n\nThe best developers have always built their own tools. Nobody has figured out the best way to work with agents yet, and the teams building closed products definitely haven't either. The developers closest to their own codebases will figure it out first.\n\nGive a million developers composable primitives and they'll collectively find the most efficient workflows faster than any product team could design top-down.\n\ncmux is free, open-source (AGPL), and already trusted by thousands of builders from Nvidia, Google, OpenAI, and more. Developers build or port their own custom harnesses and orchestrators on top of cmux.\n\n\n\n**Traction**\n\nIn two weeks, cmux grew from zero to 3.5k GitHub stars.\n\n\n\nWe peaked at #2 on Hacker News: \n\n\n\nOur X launch went viral: \n\n\n\nMitchell Hashimoto, the creator of Ghostty and founder of HashiCorp, shouted out cmux on X.\n\n\n\nNick Schrock, the creator of Dagster and GraphQL:\n\n\n\nEdward Grefenstette, Director of Research at Google DeepMind:\n\n\n\nMany Japanese fans:\n\n\n\n**How you can help**\n\nStar our GitHub repo: \n\nTry cmux: [https://www.cmux.com/](https://www.cmux.dev/) \n\nShare cmux with your friends: send feedback to [founders@manaflow.ai](mailto:founders@manaflow.ai).",
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"body": "### **🛎️ TL;DR**\n\n* [**Manaflow**](https://manaflow.ai/) empowers **operation managers** to automate workflows involving data analysis, API calls, and business actions.\n* You can **command Manaflow agents in English** to execute recurring tasks and manage them on a spreadsheet interface. \n* Think of us as an **AI-first Zapier alternative** but with natural language and spreadsheets. \n* **Frustrated with repetitive manual tasks** in your business? We’ll automate them all for you. [**Let’s chat**](https://cal.com/team/manaflow/meeting)**.**\n\n### **🗂️ The Problem: Too much Excel, too much manual stuff, too much repetition**\n\nAre you tired of **juggling countless Excel files and manual workflows for your business**? Do these workflows prevent your business from scaling up?\n\nAfter **conducting over 250 calls**, we've discovered a recurring problem: **small-to-mid-sized businesses (SMBs)** rely heavily on folders of Excel files and third-party apps to **manually execute their day-to-day operations**, which is **time-consuming, error-prone, and a huge bottleneck to scaling**. \n\nFor instance, in freight forwarders, operations include managing client communications, inventory oversight, and coordinating delivery schedules, most of which are done manually. These **manual processes** not only **decelerate business growth** but also **heighten the risk of mistakes**.\n\nToday’s operation managers are blocked by a lack of **technical knowledge,** **customization,** **and** **simplicity** in current workflow automation builders.\n\n### **💡 Introducing MANAFLOW: Automate operations workflows with AI**\n\nWe are building **Manaflow** specifically for **underdog SMBs to scale** like their tech-enabled, big corporation counterparts, transforming manual spreadsheet and software tasks into **automated end-to-end workflows**.\n\nThe ideal way to execute workflows is not for a human to manually operate Excel sheets or interface with different software apps but for a human to **merely click a button**. \n\n**AI can own end-to-end technical workflows** and convert them into features, while **humans can oversee** them, update them as the business evolves, and tackle higher-level automations. Let’s see this in **action**.\n\n### **📕 Building a Basic Workflow on Manaflow**\n\nWe’ll begin by building a fun, basic workflow on Manaflow to **send payment reminders to clients** via email.\n\n[Manaflow Demo: Building Sending Payment Reminders Workflow](https://www.youtube.com/watch?v=TGbJN7pNb30)\n\nNext, we’ll go into more specific examples of potential use cases for business customers.\n\n### **📸 Manaflow Workflow #1: Watermark videos and send them to your clients via Gmail**\n\nOne of our customers uses Manaflow to take in unpolished videos from Google Drive, process them, watermark them with their logo, and then email the final products to their clients — **all in one click of a button**. \n\n[Manaflow Demo: Watermarking Video Workflow](https://www.youtube.com/watch?v=tTTTRrzICVg)\n\nThis has **cut their** **20-hour weekly manual workflow down to 20 minutes**, and Manaflow has become a core part of their operations.\n\n### **🛻 Manaflow Workflow #2: Find and email truckers for your shipment logistics**\n\nAnother customer uses Manaflow to find and email local trucking companies based on the shipment origin and final destination. \n\n[Manaflow Demo: Finding Truckers for Logistics Workflow](https://www.youtube.com/watch?v=9GsBHG3zm_I)\n\nThis has allowed them to gather rate quotations faster for their clients and has **reduced their manual operations by over 50%.**\n\n### **🙌 One more thing: Collaborate with all stakeholders, including us, to build automations**\n\nThere are countless workflow automations that you can build on Manaflow. We understand that people have many different ideas and love working in teams. So, we made **real-time collaboration** so all of you can build and automate workflows together on Manaflow.\n\n\n\nPartnering with us, you will also have **24/7 access to Manaflow’s engineering support staff.**\n\n### 👥 **OUR TEAM**\n\n[**Austin Wang**](https://www.linkedin.com/in/austinwang115/): Yale Physics, CS & Econ; Prev. SWE @ Google, NASA JPL, Chess.com, ML @ Datacy\\\n[**Lawrence Chen**](https://www.linkedin.com/in/lawrencecchen/): Berkeley CS; Prev. Founding Eng @ Minion AI, Berkeley RISE Lab\\\n[**Wesley Tjangnaka**](https://www.linkedin.com/in/wesleytjangnaka/): Stanford Math & CS; Prev. Stanford AI Research, ML @ Juniper Networks\n\n\n\n**🙏 Our Ask**\n\n**If you are or know any** **operation managers or businesses** **that run on spreadsheets**, **please let us know or schedule a time with us** [**here**](https://cal.com/team/manaflow/meeting). Any intros or shoutouts would be super awesome and greatly appreciated.\n\nWe’d really appreciate a like and subscribe on our [YouTube](https://www.youtube.com/channel/UCAa89_j-TWkrXfk9A3CbASw), a follow on our [Twitter](https://x.com/manaflowai) and [LinkedIn](https://www.linkedin.com/company/manaflow-ai/), and some feedback on our [product](https://manaflow.ai/). \\\n\\\nThank you!",
"url": "https://www.ycombinator.com/launches/LPF-manaflow-build-and-manage-your-dream-ai-operations-team",
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"body": "**TL;DR: 🏰** [Fortress](https://fortress.build) is an orchestration platform for SaaS applications, allowing them to easily manage a multi-instance database architecture (a hybrid of dedicated and shared instances) in **their own cloud**. \n\nIf you are a SaaS using (or migrating to) AWS/GCP/Azure for databases, [**_schedule a meeting!_**](https://calendly.com/david-fortress/30min)\n\n# **🚩 Problem:**\n\nAs a SaaS grows, they follow these two trends:\n\n1. They mature off 3rd party managed database platforms and move into their own cloud (onto an AWS/GCP/Azure) for cost, latency, and more control of their data.\n2. They move from a single shared database architecture to a multi-instance database architecture for performance, compliance, and due to data isolation requirements of enterprise.\n\nThese result in headaches for SaaS startups.\n\nExisting cloud-native database services not only have complex docs and SDKs, but orchestrating separate database instances requires additional DevOps: deployments, schema migrations, connection pooling, versioning across instances, etc.\n\n# **🏰 Introducing… Fortress**\n\nA database orchestrator that simplifies DevOps of managing a multi-instance database architecture on your private cloud. \n\n\n\n* **☁️ In your own cloud:** Host your database instances in your own cloud for security and reduced vendor lock-in (and use your cloud credits!). _We also have a fully-managed service!_\n* **🛠️ Simplified DevOps**: Global schema migrations and rollbacks, versioning, and managed connection routing\n* **👥 Tenant Management**: APIs/SDKs to support easy provisioning of a dedicated instance for larger enterprise clients and easily add smaller clients to shared instances. \n* **✨ Developer-friendliness:** Easy-to-use client SDKs and ORM integrations. CLI and UI for admin.\n* **🚀 Flexible Deployment**: Deploy the database instance closer to your customer or to a specific region for compliance or reduced latency. \n* **🔒 Security**: Managed network isolation, custom Role-based Access Control for each database, encryption in transit and at rest, by default, simplified compliance audits, and easy tenant data deletion.\n* **🧤 White glove migration**: For now, we will do white glove migration to our platform (it’s fairly simple if you already use AWS/Azure/GCP for databases)\n\n \n\n\n\n_Easily manage tenants, see their estimated usage, and what databases their data is in_\n\n\n\n_Group databases by schemas to propagate schema migrations across groups (we handle rollbacks)_\n\n# **🌟 Future plans?**\n\n* Schema Branching (branch current schema states and or freeze them for development)\n* Zero-downtime schema migrations\n* Experimental: Storage-compute separation to allow scaling to near 0 with Postgres **in your own cloud**\n\n# ❓ **Ask:**\n\n1. If you work with customers who require dedicated db instances, chat with us! We'd like to learn more about your experiences with DevOps.\n2. Let us know if you know any CIOs and CISOs! Would love to [chat](https://calendly.com/david-fortress/30min)! \n3. [Try our early access?](https://calendly.com/david-fortress/30min) We are easy to set up if you use a cloud-native managed service!\n\n## **🙌 The Team: Recent Brown CS grads + open-source wiz.**\n\n\n\n[John](https://www.linkedin.com/in/john-finberg) + [Will](https://www.linkedin.com/in/willothy/) have been building software since 14\n\nJohn + [David](https://www.linkedin.com/in/dchu17/) were CS buddies @ Brown ",
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"date": "May 06, 2025"
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"body": "**tldr:** [Ontra](https://www.ontramobility.com/) helps cities and transit agencies increase ridership through data-driven planning and real-time optimization.\n\n# **🚀 Introduction**\n\nHey everyone! We’re Anthony and Connor, aka the [Ontra Mobility](https://www.ontramobility.com/) team, and we’re revolutionizing how people move.\n\n## **❗ The Problem**\n\nTransit agencies in the U.S. are facing massive budget shortfalls (up to $3B). Agencies need to adapt their transit systems more quickly to meet the demands of our evolving cities. Work from home led to a large drop in ridership, which is problematic for train and bus routes, which have high fixed costs. Cutting lines or reducing frequency further impacts ridership - transit agencies need a different solution.\n\n## **💡 The Solution**\n\n\n\nOntra helps cities and other transit agencies increase ridership through data-driven planning and real-time optimization. Our platform optimizes cost and rider experience by designing high-frequency bus routes and ridesharing zones, where our algorithms adapt routes to demand in real time.\n\n## **⚙️ How It Works**\n\nOntra analyzes information about where people live, how they've traveled in the past, and the existing transit system to figure out the best way to redesign the transit network.\n\nOnce the improvements are made, Ontra Mobility plans rider journeys in real-time with the best combination of transit options available, whether it’s a train, bus, bike, or agency-operated on-demand. Our system can handle thousands of ridesharing requests per minute – efficiently assigning riders to optimal routes.\n\n\n\n## **🚌 What’s New**\n\n* Our transit network design application generates bus routes and micro-transit zones\n* Seamless multimodal journeys – our algorithm synchronizes transfers between on-demand and fixed-route\n\n## **🎓 The Team**\n\n\n\nAnthony and Connor are both former Google engineers with PhDs in [operations](https://scholar.google.com/citations?user=XZ4e0UwAAAAJ&hl=en) [research](https://scholar.google.com/citations?user=z3j6J0cAAAAJ&hl=en). Prior to joining YC, they worked on [MARTA Reach](https://itsmarta.com/reach.aspx) in Atlanta, GA, and [CAT Smart](https://catchacat.org/smart/) in Savannah, GA.\n\n## **🙏 Ask: How you can help**\n\n* Share this post and spread the word!\n* Connect us to private- or public- **transit agency employees** or **board members**, **politicians,** and **transit advocates**. [founders@ontramobility.com](mailto:founders@ontramobility.com)\n\n Quick blurb to copy and paste: [Ontra Mobility](https://www.ontramobility.com/) is founded by two former Google engineers with PhDs in [operations](https://scholar.google.com/citations?user=XZ4e0UwAAAAJ&hl=en) [research](https://scholar.google.com/citations?user=z3j6J0cAAAAJ&hl=en). Ontra helps cities and other transit agencies increase ridership through data-driven planning and real-time optimization. The founders developed the software that powered [MARTA Reach](https://itsmarta.com/reach.aspx) in Atlanta, GA and [CAT Smart](https://catchacat.org/smart/) in Savannah, GA.",
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"body": "**TL;DR: Promi builds simulated versions of your real users from your product analytics data (Posthog, Stripe, Intercom, etc.). Run your next ideas past them: flows, copy, pricing, onboarding, and see where your users would hesitate, what they'd skip, and why, before anyone writes code.**\n\n\n\nHi! Peter here, cofounder of Promi (S24)\n\n## **The problem**\n\nReal user feedback is the gold standard for deciding what to build and almost nobody gets it, because it's slow and expensive. So teams substitute: survey panels, ICP interviews, and lately AI personas prompted with a demographic sketch. All of them share the same flaw — they don't know _your_ users. The result is confident feedback with no context, and ideas that ship blind anyway.\n\n## **How Promi works**\n\nConnect your product analytics tools. Promi builds behavioral profiles of your actual user segments, not personas, not survey panels, and turns them into simulated users. Describe a proposed change: a flow, copy, pricing, onboarding, and they react the way your real segments tend to: where they'd hesitate, what they'd skip, and why.\n\n## **Why we're building this**\n\nI spent 5 years as a PM at Uber, where real user feedback was the gold standard nobody had time or budget for — so most ideas shipped blind. When we did get feedback, 9 times out of 10 we preferred existing customers over a generic ICP, because real users knew _why_ they used the product. AI feedback needs that same context, so we built Promi to have it: simulated users trained on your customers' actual behavior.\n\nEvery product decision deserves real user feedback. We're making that the default instead of the luxury.\n\n## **Our ask**\n\n**If you're a product team with 3+ months of session data and ideas you're actively debating, reach out — we're onboarding design partners now.** We'll build simulated versions of your users and run your next ideas past them. Then judge us on one thing: did it surface something true about your users that a generic AI couldn't? You know your users; you'll know fast whether our simulations ring true.\n\nSchedule a call: \n\n Website: Email: [peter@usepromi.com](mailto:peter@usepromi.com)",
"url": "https://www.ycombinator.com/launches/SUL-promi-evaluate-your-product-concepts-with-digital-twins-of-your-customers",
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"title": "Promi - AI powered discounts for ecommerce merchants",
"tagline": "Send smarter discounts",
"body": "**tl;dr:** [Promi](https://www.usepromi.com/) helps ecommerce merchants send smarter discounts by leveraging AI to dynamically update discounts and optimize for clearing inventory, varying discount values across products for first order, holiday, etc. campaigns, and better communicating discounts across your website via price strikethroughs and other UI components.\n\nWe are available on the [Shopify app store](https://apps.shopify.com/promi-discounts)!\n\n\n\n👬 **Meet Our Team**\n\n\n\n[_Peter_](https://www.linkedin.com/in/petermoot/)_: The Discount Guru_\n\nPeter is coming from Uber, where he was the product lead overseeing discounts across Eats and Rides. While there, he launched many of the features we are now building into Promi today. He has a degree in economics from Harvard and would love to talk with you about your pricing and discount strategy.\n\n[_Jiaxin_](https://www.linkedin.com/in/jiaxinlin/)_: The AI mastermind_\n\nJiaxin was the tech lead and founding engineer at Uber’s knowledge graph platform, focusing on recommendations and personalization. Before Uber, Jiaxin worked in AI at Google’s Shopping Recommendations team.\n\n**❌ The Problem**\n\nMost retailers spend 5-10% of their gross merchandise value on discounts to acquire new customers, celebrate holidays, hit sales targets, clear inventory, etc. However, choosing the right discount often involves guesswork. More sophisticated merchants look at what worked well in the past, but they don’t have the time or means to granularly optimize their discounts across products and users, or dynamically update the offers based on order trends. Additionally, many retailers don’t communicate savings available via discount codes on their website until checkout, causing a drop in customer conversion.\n\n# **💡 Our Solution**\n\nPromi enhances discount performance by addressing key issues:\n\n* **Dynamic Updates**: AI-driven adjustments ensure efficient inventory clearance without over-discounting. Specify the volume, timeframe, and pricing guardrails, and Promi will continuously monitor and update discounts.\n* **Improved Communication**: Discounts are displayed site-wide using deep links for price changes and other UI components.\n* **Variable Discounts**: We vary discount values across products to take advantage of differences in profit margins and prices, all under a single code. Your email sign-up and member-only campaigns just got a lot more profitable\n\nThese solutions improved Uber's discount efficiency by more than 40%. Stay tuned for upcoming features like personalized discounts, performance measurement dashboards, and experiment setups!\n\n\n\n**🙏 Ask: Check out Promi!**\n\nIf you run a Shopify store or know someone who does, we'd love to chat. Email us at [peter@usepromi.com](mailto:peter@usepromi.com).\n\nSee our website and app listing below:\n\n* \n* ",
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"votes": 31,
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"body": "**TL;DR:** [Clearly AI](https://clearly-ai.com) continuously reviews your software for security and privacy risks. We keep your compliance paperwork up to date and escalate issues that need attention so that your engineers can focus on more critical work.\n\n### The Problem\n\n* **Burn-out:** Many companies struggle to complete in-depth security reviews due to understaffed teams. The industry average is 1 security engineer per 200 software engineers. There is an overwhelming volume of software and policies to monitor and cross-check.\n* **Fragmentation:** Today, a typical enterprise security review takes 3-4 months to complete. Most of that time is spent gathering information and filling out paperwork. Trust teams operate in silos, leading to redundant questions or delayed risk identification.\n\n### Our Solution\n\n* **Triage:** Review all designs and code for security best practices and regulatory compliance.\n * **Raise the Ceiling:** Prioritize which applications need deeper review by security & privacy engineers.\n * **Raise the Floor:** For the rest, perform baseline security & privacy reviews to ensure compliance.\n* **Shift Left:** Bring the collective knowledge of legal, privacy, compliance, and security teams directly to developers from the inception of their work.\n* **Continuous Monitoring:** Real-time, automated checks instead of point-in-time reviews.\n\n\n\n### Our Ask\n\nReach out to us if:\n\n* Your security/privacy teams are understaffed and overwhelmed.\n* Security/privacy is critical to your customers (beyond SOC2 certification).\n* You operate across regions with varying privacy regulations, and you need to evaluate and comply.\n\n### Our Offer\n\nGive us your gnarliest security & privacy problems — we’re happy to do a [free consultation](https://calendly.com/emily-cg/security-privacy-consult) and lend our expertise back to the YC community.\n\n### Our Team\n\nEmily & Joe met five years ago while working on an Alexa security review.\n\n* [**Emily**](https://www.linkedin.com/in/emilycgreene/)**:** Senior engineer at Amazon and Moveworks, speaker at USENIX PEPR, expert in privacy-preserving machine learning, featured in the New York Times.\n* [**Joe**](https://www.linkedin.com/in/joseph-choi-cmu)**:** Senior engineer at Amazon, designed and secured spacecraft command software that now orbits Earth, automated data compliance with global regulations like GDPR and HIPAA.\n\n\n\n",
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"body": "**tldr:** [Saturn](https://www.saturnos.com/) automates investment research, compliance, and back-office workflows for wealth managers, significantly reducing operational costs and freeing up time to focus on client engagement and growth.\n\n—\n\n---\n\n---\n\n---\n\nHey everyone, we're [Michael](https://www.linkedin.com/in/michaelettlinger/), [Rohit](https://www.linkedin.com/in/rohit-vaish/), and [Amal](https://linkedin.com/in/amaljolly), and we are on a mission to make wealth building more accessible for everyone by making wealth managers more efficient and scalable.\n\n\n\n🧨 The Problem:\n\n# Servicing a client with compliance and back-office tasks is a time drain\n\nWealth managers spend an inordinate amount of time and resources on manual compliance and administrative tasks. This inefficiency leads to higher operational costs and limits their ability to serve more clients effectively.\n\nTake our client, Jason, as an example. Jason runs a mid-sized advisory firm in Norwich, UK, with over 15,000 clients and spends over 15 hours per client per year on compliance paperwork and back-office management all for doing one check-in a year. \n\nThese manual processes drain his time and increase operational costs. This time and money could be better spent on growing his client base and enhancing client services.\n\n🎉 The Solution:\n\n# Automated AI-powered wealth management operating system built for scale and personalisation\n\n\n\nSaturn helps wealth managers like Jason automate their compliance and back-office tasks, allowing them to focus more on client engagement and growth. Our platform uses AI to streamline processes and ensure real-time compliance, including:\n\n* Personalised investment research \n* Faster client onboarding \n* Seamless Compliance reporting \n* Client growth & analytics\n\n**Using Saturn, wealth managers:**\n\n✔️ Save over 50% of the time typically spent on compliance and admin tasks \n\n✔️ Increase operational efficiency, allowing them to offer more services and serve more clients\n\n✔️ Improve personalisation, retention and net revenue from their client\n\n💎 Opportunity:\n\n# Driving the Future of Wealth Management\n\nWealth management firms, like Jason's, waste countless hours and resources on manual compliance and operations—a massive inefficiency across the industry. Saturn is uniquely positioned to eliminate this burden through complete AI powered backoffice automation.\n\nImagine a world where wealth managers can seamlessly guide clients through their entire financial lifecycle, making this service accessible to many more people. This is the future Saturn aims to create.\n\n> Big opportunities like the wealth transfer, growing consumer needs amongst wider demographics requires a more digital and robust system to serve them.\n>\n> The current systems simply cannot scale to serve the need, they are plagued by operational challenges added by bad tech, increasing regulatory pressure, and cost base.\n>\n> This industry is in a dire need of a transformation\n>\n> **Saturn aims to be at the forefront of this transformation, driving the future of wealth management.**\n\n**✅ Progress so far**\n\n1. Grown to serve 200 firms globally\n2. Cashflow positive since month 2 in the market, live since Feb.\n3. Awesome team of 8 people.\n\n👋 **Ask: How you can help**\n\n1. Connect us to wealth managers or financial advisors in your network. [Intro us.](https://mailto:founders@heysaturn.com)\n2. Know any killer engineer or product visionaries with experience in Wealth Tech and Financial Services. [Intro us.](mailto:founders@heysaturn.com)",
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"body": "Hey everyone, we are Theo, Eden, and Victoria — the founders of [FINNY](https://www.finnyai.com/). We help independent financial advisors find and convert new clients, using AI.\\\n\\\nIf you’re confused as to why the three of us are so excited about building for financial advisors, keep reading.\n\n\n\n# 🧑🔬 **The Team**\n\n**🏦The Sales Whisperer** \n\n[Eden](https://www.linkedin.com/in/edenovadia/) was most recently at BCG NYC, where she primarily worked in the Tech, Financial Institutions & Private Equity practices. She holds a BEng in Software Engineering from McGill (ML focus). \n\n**👾The Model Man** \n\n[Theo](https://www.linkedin.com/in/theodore-janson/) worked as a ML engineer at an early Fintech startup and AI researcher in Explainable ML. He holds a BEng in EE and Math from McGill and MS in AI from Ecole Polytechnique, Paris.\n\n**👩🏼🎨The Visionary** \n\n[Victoria](https://www.linkedin.com/in/victoria-toli/) came from Uber, where she led membership growth for Uber One as a Product Manager. She holds a BS from Stanford in Symbolic Systems (AI focus). \n\n# **🫶🏻 Why are we obsessed with Financial Advisors?**\n\n* **The Great Wealth Transfer** - $80T of wealth will be transferred from the Boomer/Silent Gen to the next generation over the next 20 years. \n* **Retiring advisors** - 45,000 financial advisors are over the age of 65 in the US, managing $3T in wealth that will change management when they retire.\n* **Wealth creation** - Wealth is being created in unprecedented ways (E.g., Innovation, Entrepreneurship, Social media, Racial wealth gain), but the institution serving the wealth has not changed\n* **Consolidation** - Private equity driving consolidation of a historically long tail of independent advisors\n* **Price Inertia:** Financial Advisors are used to paying 25 bps annually IN PERPETUITY for referrals. That’s $200B annually from the wealth transfer alone.\n\n \n\n# 💀 **The Problem FINNY is Solving**\n\nFinancial advisors manage >$100T in assets globally. Yet, bringing on new clients is highly inefficient. Their best bet is to repurpose horizontal solutions - like Linkedin, ZoomInfo, and Pitchbook - to create long and noisy prospect lists. However, without a proper way to qualify these leads or even reach their particular niche at scale, advisors end up spending an average of **58 hours** going after the wrong, often unqualified prospects before converting one new client.\n\n\n\n# 💡 **The Solution**\n\nFINNY is reimagining organic growth for financial advisors with AI. Our first product, a multi-channel Sales agent, allows users to sit back and relax while it goes “out in the wild” (aka our massive database of high-net-worth individuals) and prospects for them. It’s like your intern, except it’s always on, running in the background.\n\nFINNY’s goal is for advisors to wake up in the morning to meetings with prospects on their calendars, entirely booked by FINNY. Our value proposition is three-fold: \n\n1. **_Prospect identification:_**\n * _We identify prospects within their target niche, aggregating thousands of data points per lead and constantly monitoring for life triggers_\n\n \n2. **_Prospect prioritization_:**\n * We prioritize prospects based on their predicted likelihood of converting, a score unique to each advisor and prospect pair\n3. **_Prospect outreach & engagement:_**\n * _We automate the outreach and meeting scheduling with the high-priority prospects, intelligently selecting the optimal channel for the specific prospect_\n\n\n\n# ✅ **Progress so far**\n\nIn just 3 months, we have:\n\n* Released the **1st** and **2nd iteration** of the product to 15 advisory firms.\n* Grown revenue by >**11x** MoM.\n* Got **70** firms to join our waitlist, without any acquisition efforts or outbound.\n* **Won** Morningstar’s Fintech Showcase last month.\n* Have been getting some **buzz**! [Here](https://www.businesswire.com/news/home/20240724776742/en/Future-Proof-Announces-Groundbreaking-Lineup-of-Fintech-Demo-Drop-III-Finalists) and [here](https://www.downtownjoshbrown.com/p/future-financial-advice-already-993f).\n\n \n\n\n\n# **❓One Ask for You (If you made it this far)**\n\nIf you ever thought about working with a financial advisor, evaluated one, currently work with one _(or want to get matched with one_ **😉**_),_ we’d love to talk to you. Book 15 min with us [here.](https://calendly.com/eden-finny/finny-intro-call) If you’re in SF, we’ll buy you a coffee. If not, let’s call it an IOU.",
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"body": "Hey YC - [Naveed](https://twitter.com/naveedjanmo) from [Unriddle](https://www.unriddle.ai/?utm_campaign=yclaunch) here. We help industry and academic researchers read, write, and organize research papers really quickly.\n\nWe launched just over a year ago, and today, we have 1.3M users, including teams at Johns Hopkins, Stanford University, and Roche Pharmaceutical.\n\nTry it here: [unriddle.ai](https://www.unriddle.ai/?utm_campaign=yclaunch)\n\n### **Problem**\n\nUnderstanding the key themes, findings, and gaps in a field often involves sifting through hundreds of research papers. It’s a time-consuming and disorganized process.\n\nAnd when working across multiple disciplines, researchers may lack the contextual or domain knowledge needed to fully grasp a paper’s significance.\n\n\n\n### **Solution**\n\nUnriddle uses language models to help researchers quickly and deeply understand papers, write literature reviews, prepare citations, and keep the entire research team on the same page.\n\nIt understands the context behind your research – synthesizing relevant findings, highlighting connections between papers, and suggesting related studies you might have missed.\n\n\n\n### **Ask**\n\nIf you read or write research papers in any capacity, [try Unriddle](https://www.unriddle.ai/?utm_campaign=yclaunch) and let me know what you think at [naveed@unriddle.ai](mailto:naveed@unriddle.ai).\n\nIntros to research teams, particularly those in life sciences (e.g., biotech, pharma, and healthcare).\n\n— Naveed\n\n:)",
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"body": "Hey YC! \n\nWe're [Martin](https://www.linkedin.com/in/marbit/) and [Andrey](https://www.linkedin.com/in/santrosyan/) from [Redouble AI](https://redouble.ai/). We have spent our entire careers in workflow automation in highly regulated industries - and just launched **the first agentic AI operating system for enterprise in Java**. \n\nOur launch video:\n\n\n\n# ❌ **The Problem**\n\nEvery large company’s Board wants agentic AI deployed yesterday - but **the Java engineers in the enterprise who are supposed to deliver these AI solutions can’t just abandon their stack and security model and instead adopt paradigms that go against their most fundamental engineering principles**. Put differently: no enterprise Java engineer will ship production AI in Python - the cultural and engineering mismatch is too deep. 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"body": "\n\n## TL;DR\n\nAI is going to generate more of your spreadsheet analysis.\n\nThat is powerful, but it creates a new problem: if AI writes the analysis, who catches the mistakes?\n\nSheetWhiz helps you audit the logic behind your spreadsheet work before you rely on it. You can trace where numbers come from, understand how formulas flow through your model, verify that calculations make sense, and catch mistakes before they lead to bad decisions.\n\nUnder the hood, SheetWhiz gives you the most powerful Trace Precedents and Trace Dependents workflow in Google Sheets, with multi-level formula tracing, step-by-step formula evaluation, and AI built into the audit flow.\n\nSheetWhiz is already used by over 10,000 professionals at some of the most productive companies in the world, including Anthropic, DoorDash, Robinhood, Chime, and GitLab.\n\nTry SheetWhiz free from the Chrome Web Store.\n\n## The Problem\n\nAI is making it easier than ever to create spreadsheet analysis.\n\nIt can write formulas, build models, summarize data, and automate workflows that used to take hours. That is a huge productivity unlock, especially for teams that live in spreadsheets.\n\nBut it also creates a new risk: people will start shipping analysis they do not fully understand.\n\nAnd even the best AI-generated spreadsheet work still needs review.\n\nWall Street Prep recently tested leading AI tools for financial modeling against investment banking standards. Even the winning tool scored only **5.7 / 10** on accuracy of data extraction, formatting, and modeling best practices, and **5.0 / 10** on quality and rigor of forecasting and model structure.\n\n\n\n_Source: [https://www.wallstreetprep.com/knowledge/ranking-the-best-ai-tools-for-financial-modeling-2026](https://www.wallstreetprep.com/knowledge/ranking-the-best-ai-tools-for-financial-modeling-2026/)_\n\nThat does not mean AI is not useful. It means AI can help generate the first draft, but humans still need to inspect the logic before relying on the output.\n\nThe dangerous part is that the final output can look credible.\n\nWhen AI generates a formula, the formula may look sophisticated. The model may look complete. The analysis may look ready to send. But unless someone can inspect the logic, trace the inputs, and explain how the number was calculated, the work is not truly understood.\n\nDon’t be the person who puts your name on analysis you cannot defend.\n\nNot when the numbers matter.\n\n## The Most Powerful Trace Precedents Workflow for Google Sheets\n\n\n\nSheetWhiz is built around the spreadsheet audit workflow people actually need: select a formula, understand where it came from, inspect the logic, fix issues, and keep working.\n\nWith Trace Precedents, you can select any formula and instantly see every cell feeding into it. You can jump directly to each source cell, move through references with your keyboard, and expand the precedents of those precedent cells to trace the formula multiple levels deep.\n\nInstead of manually hunting through tabs and cell references, SheetWhiz gives you an interactive audit trail for your spreadsheet.\n\nYou can see where a number came from, what it depends on, and how it flows through the model.\n\n\n\nBut tracing cells is only the first step. The harder part is understanding what the formula is actually doing.\n\nThat is why SheetWhiz also has the Evaluates Formulas and Groups toggle.\n\nIf you are looking at a VLOOKUP, SheetWhiz can show the lookup value, the table being searched, the return column, and the exact value the function returns. Instead of manually counting columns and checking ranges, you can see the result of the lookup immediately.\n\nIf you are looking at INDEX/MATCH, SheetWhiz can break apart what MATCH is finding and what INDEX is returning. You can see which row or column was matched, which source cell was returned, and how the final result was calculated.\n\nThis matters because AI-generated formulas often look correct at a glance. They can use advanced functions, nested logic, and ranges that appear reasonable. But the only way to trust the output is to inspect what each part is doing.\n\nSheetWhiz makes that inspection fast.\n\n\n\n## AI Built Into the Audit Workflow\n\n\n\nWe layered AI directly into tracing.\n\nThat does not just mean generic formula explanations. SheetWhiz has the context of your spreadsheet, the selected cell, the referenced cells, the formula being evaluated, and the surrounding model or analysis. If you’re building an LBO, SheetWhiz AI knows you’re building an LBO and will let you know whether your returns analysis is calculating correctly based on that model.\n\nIn a data analysis, SheetWhiz can explain the mechanics of the formula. If you are not familiar with VLOOKUP, INDEX/MATCH, LET, or another function, you can ask what the formula is doing, how it works, and whether anything looks off.\n\nThat is the workflow we think people need as AI writes more spreadsheet work:\n\nGenerate the work, then inspect it, understand it, and verify it before you rely on it.\n\n## Other Auditing Tools\n\n\n\nTrace Precedents is the core workflow, but SheetWhiz also includes other tools to help you inspect and audit spreadsheets faster.\n\nWith Trace Dependents, you can see which formulas rely on the cell you are changing. Before editing an input, assumption, or formula, you can understand what downstream calculations might be affected.\n\nSheetWhiz also helps you visualize spreadsheet structure with auto-coloring. You can color hard-coded values, formulas, and links to other tabs so it is easier to see what is going on in a model at a glance.\n\nFor example, you can quickly distinguish hardcoded assumptions from linked cells and formulas, making it easier to review a model for consistency and potential errors.\n\nThe goal is to help you catch problems before they spread through the model and become decisions.\n\n## Built for People Who Actually Work in Sheets and Slides\n\n\n\nAuditing is only one part of spreadsheet work. Once you understand the model, you still need to clean it up, format it, present it, and move quickly.\n\nThat is why SheetWhiz includes over 100 spreadsheet and presentation shortcuts.\n\nFor people coming from Excel, SheetWhiz brings familiar Excel-style shortcuts into Google Sheets, including paste special, insert and delete rows or columns, autofit and set row height and column width, filters, borders, alignment, merge, freeze panes, and more.\n\nFor formatting-heavy work, SheetWhiz includes format cycling tools like number cycling, font cycling, fill color cycling, and indentation cycling.\n\nFor reporting workflows, SheetWhiz lets you export a selection as an image into Google Slides while preserving the formatting from your sheet. The image links back to the original source, so teammates can trace the screenshot back to where it came from.\n\nSheetWhiz also includes Google Slides shortcuts, so the same speed gains carry into the deck-building process.\n\nAI is useful when you want help thinking through a formula. But sometimes you do not want to type a prompt or wait for a response. You just want to move faster in the spreadsheet.\n\nSheetWhiz gives you both.\n\n## Why We Built It\n\nBefore building SheetWhiz, I worked in tech private equity at Silver Lake and later in finance and operations roles. Excel plus plugins were core to how I worked.\n\nMoving into Google Sheets meant losing speed, visibility, and accuracy, especially when auditing formulas.\n\nGoogle Sheets is great for collaboration, but it has historically lacked the formula tracing, auditing, formatting, and reporting workflows that spreadsheet-heavy teams rely on every day.\n\nNow that AI is generating more spreadsheet work, that gap matters even more.\n\nIf AI writes the analysis, the human still needs to audit it.\n\nThat is what SheetWhiz is built for.\n\n## Try SheetWhiz\n\nSheetWhiz is free to try from the Chrome Web Store.\n\nJoin over 10,000 professionals at companies like Anthropic, DoorDash, Robinhood, Chime, and GitLab, and make your Google Sheets formulas easier to trace, understand, and trust.\n\n# Dimely and SheetWhiz: Fixing Spreadsheet for Finance Teams\n\nSheetWhiz emerged alongside Dimely, our AI connected spreadsheet, as part of the same mission: making the spreadsheet experience better for finance teams. Dimely focuses on automating your billing spreadsheet work, while SheetWhiz focuses on improving the daily tooling inside Google Sheets itself. Please reach out if interested in learning more about SheetWhiz or Dimely.",
"url": "https://www.ycombinator.com/launches/R0i-sheetwhiz-the-best-way-to-audit-your-google-spreadsheets",
"votes": 3,
"created_at": "2026-06-24T02:51:27.456Z"
},
{
"id": 96407,
"title": "📊 SheetWhiz: Build Better Analyses in Google Sheets Faster",
"tagline": "The go-to finance productivity tool for Google Sheets used by the top finance teams in the world. Trace Precedents, Trace Dependents, Goal Seek, What-If Data Tables, Format Cycling, Excel and PPT shortcuts, and more inside Google Sheets and Slides.",
"body": "\n\n**TL;DR: If you miss your Excel productivity and want to be faster, more accurate, and produce more digestible models in Google Sheets, try SheetWhiz for free. Over 17,000 professionals at companies like OpenAI, Anthropic, DoorDash, and Robinhood have used SheetWhiz over 8 million times to boost their productivity in Google Sheets.**\n\nSometimes Google Sheets just doesn’t cut it.\n\nAfter working for years in private equity and learning Excel like the back of my hand, the transition to startup finance and ops, where I had to use Google Sheets (on a MacBook to boot!), was incredibly painful. SheetWhiz fixes this so you don’t have to go through the pain I went through.\n\nSince launching SheetWhiz, it’s become the go-to spreadsheet tool for finance teams working in Google Sheets. It’s what finance teams at top tech companies use to move faster and with greater accuracy.\n\nTry the SheetWhiz Chrome extension today with a 21-day free trial and a free forever plan. Visit[ www.sheetwhiz.com](http://www.sheetwhiz.com) and click “Get Chrome Extension” to install the tool.\n\n\n\n## The Problem\n\n3 billion people use Google Workspace each month and hundreds of millions use Google Sheets in their everyday work. Finance teams are increasingly moving work into Google Sheets because it comes free with Google Workspace, and it’s easier to aggregate data and collaborate in Sheets than in Excel.\n\nThe problem? Google Sheets lacks proper tooling for finance teams to streamline their work. As this move to Sheets picks up speed, finance teams are often forced to download files into Excel to complete the work, then re-upload them back into Drive to share once complete.\n\nIt also doesn’t help that Excel, over the last 40+ years, has built massive market share in finance with a community of finance educators and tooling, while Google Sheets has focused more on the data analyst and lacks many education touch points that would drive adoption by finance teams. It’s especially frustrating for finance teams, many of whom have Excel training, to lose access to the features and functionality they’re used to.\n\n\n\n\n\n\n\nMissing features include:\n\n* A robust way to trace precedent and dependent cells\n* An easy What-If suite with tools like Goal Seek and Data Tables\n* Fast formatting tools and shortcuts\n* Exporting into other systems while maintaining formatting\n\nWithout these workflows, teams move slower, data quality checks take longer, and spreadsheet output hygiene suffers, with key stakeholders having to work harder to digest takeaways.\n\nBefore SheetWhiz, I worked in tech private equity at Silver Lake and later in finance and operations roles. Excel plus plugins were core to how I worked. Moving into Google Sheets meant losing speed, visibility, and accuracy. I searched for a fix and couldn’t find anything close. As my cofounder Peter observed my constant complaining, we decided to build the tool I wanted and use every single day.\n\n## Our Solution\n\nDemo video: \n\nSheetWhiz brings Excel’s most important auditing, scenario analysis, and formatting tools directly into Google Sheets, all triggered by shortcuts you can customize.\n\n\n\n### Current capabilities include:\n\n**Audit and accuracy**\n\n* Trace Precedents\n* Trace Dependents\n* Auto-Color Hardcodes and Links to Other Tabs\n\n**Driver and sensitivity tools**\n\n* Goal Seek\n* What-If Data Tables\n\n**Advanced formatting**\n\n* Number Cycle\n* Font Cycle\n* Fill Color Cycling\n* Indentation Cycle (yes, you can indent in Sheets!)\n\n**Excel formatting shortcuts**\n\n* Paste Special (Alt + E + S)\n* Insert/Delete Columns and Rows (Ctrl + Shift + Plus/Minus)\n* Border shortcuts\n* Add/Remove Gridlines (Alt + E + V + G)\n* Set or Auto-Fit Column Width and Rows Height\n* Add/Remove Filters (Ctrl + Shift + L) and Open Filter Dropdown (Alt + Down Arrow)\n* Alignment shortcuts\n* Merge shortcuts\n* Freeze/Unfreeze shortcuts\n\n**PowerPoint formatting shortcuts**\n\n* Alignment shortcuts\n* Text alignment shortcuts\n* Distribute shortcuts\n* Grouping shortcuts\n\n**Reporting**\n\n* Export selections as clean images for pasting into other programs like Google Slides and Slack\n\n### What finance teams use SheetWhiz for:\n\n* Understand and debug models in seconds\n* Build sensitivities\n* Maintain cleaner spreadsheets faster\n* Avoid formula breakage\n* Export reporting visuals for leadership decks\n\nIf you work in Google Sheets, we would love for you to try SheetWhiz and share feedback on what to build next.\n\nTry it free for 21 days at[ www.sheetwhiz.com](http://www.sheetwhiz.com) (click “Get Chrome Extension)\n\n# Dimely and SheetWhiz: Fixing Spreadsheet for Finance Teams\n\nSheetWhiz emerged alongside Dimely, our AI connected spreadsheet, as part of the same mission: making the spreadsheet experience better for finance teams. Dimely focuses on automating your billing spreadsheet work, while SheetWhiz focuses on improving the daily tooling inside Google Sheets itself. Please reach out if interested in learning more about SheetWhiz or Dimely.",
"url": "https://www.ycombinator.com/launches/P4x-sheetwhiz-build-better-analyses-in-google-sheets-faster",
"votes": 16,
"created_at": "2025-12-27T15:41:41.501Z"
},
{
"id": 82959,
"title": "Dimely 🪙 - AI Agents for B2B SaaS Finance teams",
"tagline": "Save hundreds of hours every month automating manual finance tasks.",
"body": "**TL;DR: **[**Dimely**](https://dimely.co/)** automates and brings visibility to time-consuming, error-prone finance workflows so teams can stay lean, audit-ready, and fully informed. We integrate seamlessly with your existing tech stack — no rip-and-replace needed — so you start seeing results on Day 1.**\n\n👋 Hi all - we’re [David](https://www.linkedin.com/in/davidnpang/) and [Peter,](https://www.linkedin.com/in/p2sun/) and we’re on a mission to save finance teams countless hours of tedious, manual work. After logging countless hours on billing tasks in our previous roles, we decided to build the AI agents we wish we had. Dimely handles the mundane chores, maintains a proper data trail, and keeps a human-in-the-loop to ensure **100% accuracy** and **audit readiness**.\n\n\n\n# **❌ Problem: Billing for B2B SaaS is manual and error-prone**\n\nThis is because:\n\n* **Contracts are complex.** Contracts have multiple SKUs, payment schedules, pricing models, and billing metrics\n* **Contracts are unstructured.** Terms are often bespoke and written in by sales teams trying to close deals\n* **Data lives in different places.** Usage-based pricing models in particular, require matching contract data in your CRM with usage data from your data warehouse that is not always accurate or structured in a way that works well for billing \n* **Finance needs are deprioritized.** Engineering typically prioritizes product building and deprioritizes finance initiatives\n* **High finance tech debt.** Billing systems that work early on remain in place for too long because it takes 5+ months to migrate to another system, resulting in a high number of manual workarounds, typically in spreadsheets\n\n# **🏁 Solution: Comprehensive, AI-driven platform to automate and bring visibility to complex finance processes.**\n\nThis is where [Dimely](https://dimely.co/) comes in. We take the tasks that take the most time and automate them while keeping you in the loop. Dimely’s primary areas of focus are:\n\n**✅** Converting contracts to invoices\n\n**✅** Reconciling invoices, contracts, entitlements, and payments\n\n**✅** Calculating overages and invoicing customers (via your billing solution)\n\n**✅** Setting up proper revenue recognition\n\nWhat makes Dimely unique: \n\n* **High time to value.** We integrate within your existing workflows - no need to rip and replace anything\n* **No engineers required.** Set up Dimely through our UI and with natural language\n* **Flexible.** We know billing is heterogeneous, and various companies do things differently. Dimely’s AI copilot understands its workflows and won’t break if something unusual comes up\n\n# **🎇 How it Works:**\n\nHere’s a short demo of a fairly simple but time-consuming workflow where Dimely can assist: creating invoices in your billing solution based on signed contracts\n\n\n\n# **📢 Our Ask:**\n\n* Let us know if you know anyone spending significant time with billing. Specifically, Heads of Finance and Controllers at B2B SaaS startups. We’d love to [chat](https://calendly.com/david-pang-calendar/30min)\n* Follow us on [LinkedIn](https://linkedin.com/company/usedimely) - we have some pretty good content!",
"url": "https://www.ycombinator.com/launches/La3-dimely-ai-agents-for-b2b-saas-finance-teams",
"votes": 57,
"created_at": "2024-08-12T22:42:11.571Z"
}
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"all_locations": "San Francisco, CA, USA",
"long_description": "Sharpe helps traders go from idea to profit in minutes with AI, bundling petabytes of market data with high-performance infrastructure.",
"one_liner": "Agents for quantitative research and financial data science.",
"team_size": 3,
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"title": "Founder",
"founder_bio": "Vivek is a co-founder of Sharpe. Vivek spent 2 years at Palantir Technologies, where he worked across the commercial business, and later help found and lead a team to aid the development of AIP. He studied Computer Science and Philosophy at Dartmouth College, where he did research on applications of language models.",
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"user_id": 1131934,
"full_name": "Daniel DiPietro",
"title": "Founder",
"founder_bio": "Dan is the co-founder of Sharpe. Previously, Dan worked at Jane Street, where he built capital allocation optimizations used in production to invest billions of dollars of assets, as well as an options tool used to execute >$100m of trades annually. He has published multiple first-author publications in high-impact venues like NeurIPS and CoRL. Dan moonlights as a botanist and published a best-selling botanical textbook on carnivorous plants while studying at Dartmouth College.",
"is_active": true,
"linkedin_url": "https://www.linkedin.com/in/daniel-dipietro/",
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"full_name": "John McCambridge",
"title": "Founder/CPO",
"founder_bio": "CTO of Sharpe & former high-frequency trading engineer - I like to fly (and jump from) small aircraft, build rockets with kitchen chemicals, visit vulnerable endpoints, and play poker - Born in New Zealand, raised in Scottish Highlands.",
"is_active": true,
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{
"id": 91284,
"title": "Solar: An infinite canvas for vibe-coding production apps",
"tagline": "We build the most complicated full-stack apps, faster than anywhere else.",
"body": "## TL;DR\n\nSolar lets small teams collaborate with AI agents to build and deploy production apps in minutes. Like Figma, but no mockups—just real software with live data and backend Python functionality. Built by our full-stack AI agent, powered by your imagination.\n\nhttps://youtu.be/Gl03z0M8BWk\n\n## Why this, and why us?\n\nHi everyone! We’re Vivek, Dan, John, and Ziray: the team behind [Lumenary](http://www.lumenary.com). We met each other during our first few weeks at Dartmouth and have been best friends ever since. We’ve lived together, worked together, traveled the world together, and have even summited some notable peaks together (don’t ask about Mount Shasta).\n\nOur team brings together engineering from Palantir, Jane Street, IMC Trading, and Flatiron Health. We’ve built enterprise-grade AI products, a capital allocation system that controls billions, a data engine that processes petabytes–we _all_ build and deploy software _quickly_ in contexts _where it cannot fail_.\n\nSolar began as an internal tool that we used to ship enterprise demos faster than any tool on the market. We decided to productize and focus on Solar completely.\n\n\n\n## The Problem\n\nWe’re a team of four engineers who’ve used nearly every AI-powered app builder. Projects started off great, but we found ourselves in an endless loop of “revert, and try again.” Most of our time was spent waiting and hoping as the LLM made changes one-at-a-time.\n\nEven when the app seemed to work, it was unclear what were real features versus frontend demoware. We lacked an understanding of the architecture, dataflow, and what vulnerabilities were left open. It felt like these platforms had prioritized making neat frontends and bolted on real functionality as an afterthought.\n\n\n\n## What we do\n\nWe loved three things:\n\n* Figma’s flexibility — work on many designs with many people\n* Cursor’s power — write production code with LLMs\n* Retool’s safety — ship apps that you know work\n\nWe combined those to make Solar.\n\nSolar’s AI agents collaborate alongside you on a multiplayer canvas. You can see the relationships and data flow between database tables, backend Python logic, and frontend pages.\n\n\n\nSolar makes apps production-worthy by combining LLM-generated code with deterministic code generation for databases, services, and authentication. This makes your apps maintainable and deployable past the MVP, and able to integrate nicely with existing infrastructure.\n\nWe’re the most agentic platform on the market: Solar will read logs, interact with your application, and work for minutes or even hours unattended to get it perfect.\n\n## Our Ask\n\nSign up at https://solarapp.dev and try building an app.",
"url": "https://www.ycombinator.com/launches/NkK-solar-an-infinite-canvas-for-vibe-coding-production-apps",
"votes": 27,
"created_at": "2025-06-13T15:20:00.950Z"
}
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"name": "Drillbit",
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"all_locations": "Austin, TX, USA",
"long_description": "Residential contractors are drowning in office work. Drillbit automates all of it. We use AI receptionists and an LLM based quoting tool on top of our own CRM to entirely manage jobs from lead, to quote, to scheduling, to staffing, and even collecting payment.",
"one_liner": "Automating Office Work for Residential Contractors.",
"team_size": 12,
"industry": "B2B",
"subindustry": "B2B -> Operations",
"launched_at": 1721586663,
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"AI"
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"question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
"answer": "Across the United States, we spend $700B/year on maintaining homes. Half the cost of any given home service is attributed to compensating the work it took just to coordinate that job. We believe that can and should be solved for. Owners need to (and prefer to) remain focused on “the real work” instead of non-value driving efforts. Businesses in this industry provide an essential service to our economy - they maintain our supply of housing - but they are operated in an incredibly manual and wasteful way. We solve that with AI receptionists that can coordinate with each of the parties at every stage in the process. The receptionists can then work with our AI estimators to provide quotes, and together they can use our CRM, project management, and payment solutions to store updates and take action throughout the process."
},
{
"question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
"answer": "There are many elements that contribute to the inflated cost of housing and they impact everyone from the homeless, to renters, to homeowners, and investors. An often-overlooked contributor to this cost is the high opEx in owning and maintaining a home. The most wasteful element of that expenditure is not materials or labor - it is compensating businesses for their administrative work (finding, quoting, managing, and coordinating jobs). My dream is to cut out those inefficiencies by bringing true automation to the home service industry. In doing so, we as a society can take a step towards better, more accessible housing."
}
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"url": "https://www.ycombinator.com/companies/drillbit",
"api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/drillbit.json",
"year_founded": 2023,
"city": "Austin",
"country": "US",
"linkedin_url": "https://www.linkedin.com/company/drillbit-ai",
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"url": "https://www.ycombinator.com/people/gustaf-alstromer"
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"full_name": "Alexander Seutin",
"title": "Founder/CEO",
"founder_bio": "Alex graduated from Stanford with a degree in CS & AI. After school, he worked as an engineer at SpaceX, Apple, Rivian, and Built Robotics. Alex is passionate about affordable housing, and after years of doing construction on the side, he merged his passions and started Drillbit. His company seeks to optimize and scale home service businesses through automating their operational & administrative workflows.",
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"body": "### **\\~TLDR\\~**\n\nResidential contractors are drowning in office work that has nothing to do with their core business. [**Drillbit**](https://www.drillbit.com) automates all of it. We use AI receptionists and an LLM based quoting tool on top of our own CRM to entirely manage jobs from lead, to quote, to scheduling, to staffing, and finally payment.\n\n\n\n### **Problem🚨**\n\nResidential contractors provide a critical service to our economy: building and maintaining the supply of housing. Unfortunately, those businesses are still operated in an incredibly manual way. Across the U.S., we spend about $675B/year on simple home maintenance. A significant portion of that cost is attributed to the office work involved with finding, coordinating, and managing those small jobs. Business owners need to (and prefer to) remain focused on the real work instead of non-value-driving efforts.\n\n### **Solution 🏗️**\n\n[**Drillbit**](https://www.drillbit.com) allows contractors to be entirely hands-off, enabling them to focus 100% of their time on their core business. We have built AI receptionists that can coordinate with businesses and homeowners at every stage in the process. The receptionists then work with our AI estimators to provide quotes. Together, they are able to use our CRM, project management, and payment solutions to store updates and take action throughout the process.\n\n### **Landscape ⛰️**\n\nPlatforms that have come before us were able to move service business operations from texting and emailing over to CRMs and project management solutions, but they suffer from massive churn rates. Owners we have spoken with have consistently voiced the feeling that they were “babysitting” the tool. All of that “homework” they had to do entirely undermined the value of the solution in their eyes, and so, most users would abandon the platform. Rather than expecting our users to change their behavior - ie. start using technology that they would rather not be interacting with - we have met them where they are by handling the job coordination in a way that feels familiar to them: offering the ability to talk to your “employees” on the phone like you would a real person, and having those “employees” be able to engage with homeowners over the phone like real people would too.\n\n### **Team 👷👷♂️**\n\n[**Alex**](https://www.linkedin.com/in/aseutin) (Stanford CS / AI) spent the first part of his career developing applied AI solutions at SpaceX, Apple, and Rivian. After some time developing robots for industrial construction projects, Alex found a passion for hands-on work and spent a few years renovating old homes and airstreams. During that time, Alex became intimately familiar with the pain points in the construction and home service industries and realized how much of a need there was for better, more automated software. At that point, he decided to merge his passions and set out to build [**Drillbit**](https://www.drillbit.com) to support the folks maintaining America's housing.\n\n\n\n### **Ask 🙏**\n\nThe platform has been built, and now we are looking to drive revenue. If you know of any business owners in the industry (plumbers, electricians, house cleaners, lawn care providers, landscapers, tilers, roofers, etc) please introduce us at [**alex@drillbit.com**](mailto:alex@drillbit.com) 🙂\n\n### **Links 🔗**\n\nIn the meantime, we’d love it if you followed our journey:\n\n* [**Company LinkedIn Page**](https://www.linkedin.com/company/98805941/)\n* [**Alex’s LinkedIn Page**](https://www.linkedin.com/in/aseutin/)\n\n& finally, check out our website!\n\n[**https://www.drillbit.com**](https://www.drillbit.com/)\n\nDemo Video:\n\n[**https://youtu.be/bTIP5pk-Ldo**](https://youtu.be/bTIP5pk-Ldo)",
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"body": "**Summary**\n\n* Instead of relying on humans to quote, take orders, collect payments, and enter data into ERPs, we build AI Employees that handle these manual repetitive tasks for the 700k wholesalers in the US. \n* Team of second-time YC founders, three Computer Science majors. \n* Massive opportunity to convert $100 billion of payroll expenses into software spending.\n\n**Team**\n\nWe’re [Luis Mario](https://www.linkedin.com/in/luismariogarcia/), [Javier](https://www.linkedin.com/in/javiergzz/), [Heber](https://www.linkedin.com/in/huriegas/), and [Fernando,](https://www.linkedin.com/in/fernando-huerta-zuniga/) a team of second-time YC founders, three CS majors, and Fer launched and grew AT&T in Mexico to $120M ARR. We all worked together at our last YC-backed startup, building it to over $6M in revenue. It was there that we placed thousands of purchase orders with wholesalers.\n\n\n\n**Problem** \n\nWholesalers and distributors operate manually with human reps who use phone calls and emails to quote, place purchase orders, collect payments, enter data into ERPs, and provide support. We experienced this problem every day at our last company and realized that almost every physical product comes from B2B sales in the supply chain.\n\n**Solution**\n\n\n\nAI Agents that help wholesalers make more money by communicating in a human-like manner via phone, email, text, and WhatsApp 24/7. They handle tasks such as quoting, order taking, support, data entry into ERP systems, payment collections, and document processing.\n\n\n\n**By automating these tasks, we are creating a massive opportunity to convert $100 billion of payroll expenses into software spending.**\n\n**The Ask**\n\n* We would appreciate intros to wholesalers or distributors to [founders@hireseals.ai](mailto:founders@hireseals.ai) or [demo requests here](https://www.hireseals.ai/contact)! \n* Follow us on [X](https://x.com/luismariogm)",
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"body": "**Tl;dr**: Finding new cures requires knowing **what** and **where** the abnormal molecules are in a diseased tissue, but current tools see less than 1% of those molecules. [Biocartesian](https://www.biocartesian.com/) combines microscopy and new chemistries to see a comprehensive picture, offering unprecedented insights into disease biology and new therapeutic approaches.\n\n\n\n# **👩🔬 Team**\n\nWe’re [**Ian**](https://www.linkedin.com/in/ian-dardani) and [**Jess**](https://www.linkedin.com/in/jessxli/), two former UPenn PhDs on a mission to see every molecule in biological specimens. We’ve spent years advancing and troubleshooting the latest tools in biology, from DNA sequencing to microscopy, but even with these efforts, these tools revealed only a fraction of the underlying biology. We dreamed of a way for scientists to see everything (and fast) so they could reduce their guesswork and focus on the most promising therapeutic approaches.\n\n# ❌ **Problem**\n\nMost diseases remain a mystery because existing methods can see less than 1% of the molecules within a biological specimen. These methods can also take months for scientists to set up and often fail, wasting thousands of dollars per specimen and millions in failed drug programs.\n\n# 🔬 **Our approach**\n\nWe’re combining new chemistries and microscopy to see a full map of the molecules in biological specimens. Imagine if we could see into the \\~500 million existing tumor specimens to decode these cancers.\n\nTo use our technology, scientists simply ship their biological specimens to our laboratory, where we automate their conversion into digital molecular maps – saving them months of tedious data collection and troubleshooting.\n\n\n\nOur solution:\n\n* Enables scientists in any disease area to 50X their data collection\n* Saves scientists months of time\n* Lowers the cost of biological measurements\n* Expands access to bespoke assays developed by any scientist by integrating with our platform\n* Meets the growing demand for biological data as AI-led analysis supersedes the bottleneck of human-led analysis\n* Turns biology from 99% invisible to an interpretable problem\n\n# **🙏 Asks**\n\nIf you’re excited about this and would like to learn more, email us at:\n\n[**interested@biocartesian.com**](mailto:interested@biocartesian.com)\n\nor reach us at ",
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"body": "**TL;DR**: [Asterisk](https://asterisk.so/) is an AI “hacker” with the ability to find, exploit, and patch security loopholes across your digital assets. It does all of this with no user intervention and generates a report with zero false positives. ([example](https://demo.asterisk.so/?report_id=776e01e4-22a2-44bd-afc5-229ec115e1b1))\n\n\n\n# **The Problem**\n\n* Almost 95% of potential vulnerabilities raised by static security tools (SAST) are **false positives**, and security engineers spend a lot of time filtering them out.\n* Current security tech **cannot detect business logic bugs** - think of vulnerabilities like unauthorized access, privilege escalation, and bugs that would rack up your AWS/API bills.\n\n# **Solution**\n\n* **Verification:** Asterisk verifies a vulnerability by spinning up a sandbox, running the software being scanned, and attempts to exploit the bug. If Asterisk flags a vulnerability, you can be sure it's real.\n* **Context-aware Threat Modeling:** Asterisk understands your codebase and can thus emulate a malicious hacker by coming up with attack scenarios, like the recent CrowdStrike incident.\n\n# **Our Team**\n\nWe are [Mufeed](https://www.linkedin.com/in/mufeed-vh/), [Asjid](https://www.linkedin.com/in/asjidkalam/) and [Vivek](https://www.linkedin.com/in/123vivekr/). All of us have a background in security research and systems engineering.\n\n\n\n**Mufeed**: represented 🇮🇳 at WorldSkills CTF, 🥇 medalist - IndiaSkills CTF, 🥉 medalist - BRICS Skills CTF\n\n**Asjid**: 🥈 medalist - IndiaSkills, ex-security research engineer at Emirates National Bank (UAE)\n\n**Vivek**: ex-distributed systems/platforms engineer at Chorus One (one of the biggest POS validators)\n\nOur team has helped secure Google, Mastercard, Okta, Nvidia, Microsoft, etc. We are also the team behind [Devika,](https://github.com/stitionai/devika) the open-source alternative to Devin with over 18K stars on GitHub.\n\n# **Our Ask**\n\nIf you're looking for a **complete security audit** of your digital assets or want to talk about anything security, email us ([hello@asterisk.so](mailto:hello@asterisk.so)) or book a demo ([asterisk.so/demo](http://asterisk.so/demo)).",
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"body": "**tl;dr:** [Autumn Labs](https://www.autumnlabs.io/) delivers a unified platform to monitor and manage modern factories. Our SDK seamlessly integrates with manufacturing systems (test stations, assembly robots, industrial arms, and manual stations) to provide real-time monitoring, control, and production data management. The result? Lower operation costs, higher product quality, and a smoother production line.\n\n🍁 = 🤖 + 🏭 + 📊\n\n### **Problem - Advanced Machines, Outdated Infrastructure**\n\nThe adoption of robots in manufacturing is exploding, especially to keep up with producing increasingly more complex products and shortages in skilled labor. However, the infrastructure in which these robots would be deployed is still years behind.\n\nWithout effective systems, manufacturing physical products might seem like an insurmountable black box, especially when they are made in factories on another continent where critical information is only reported via spreadsheets every other week.\n\nThe past: [_src_](https://www.youtube.com/watch?app=desktop&v=xqPfY8S5HJ4)\n\n\n\nToday: [_src_](https://www.youtube.com/watch?app=desktop&v=luFGI13Mv8o)\n\n\n\nBut the manufacturing data is always lagging and still looks like this:\n\n\n\n### **Solution - Seamless Integration, Real-time insights**\n\nAutumn Labs provides an SDK that’s easy to integrate into any robotic architecture, enabling seamless monitoring and management of machines and, ultimately, the factory in which they reside. This way, robotic integrators and developers have a standard platform where they pull and push critical data that’s specific to their machine’s tasks. Both factory operations and engineering teams are able to get actionable data they need to improve production utilizations and process quality.\n\n_A Unified Platform for Hybrid Factories:_\n\nOur platform is built for hybrid factory lines, too, allowing for seamless integration of manual human assembly stations. Factory personnel can now get a holistic view of your factory's performance—robotic or not.\n\n\n\nWith Autumn Labs, you can track, triage, and push fixes for:\n\n1. Robotic assembly stations/cells\n2. Automated test stations\n3. Palletizing robots\n4. Manual assembly stations\n\n### **Traction - Real Results, Real Impact:**\n\nAutumn Labs is already monitoring and managing 50+ automated factory stations in 4 different consumer electronics factory lines across multiple companies and contract manufacturers. There’s a good chance that a product you use today has gone through our platform.\n\nWhy our customers love us:\n\n1. Clear insights into Manufacturing Value Added (MVA) costs\n2. Increased machine utilization\n3. Rapid improvements in production quality\n4. Enhanced product development cycles\n\n### **Meet the Founders**\n\nWe’re [Sam](https://www.linkedin.com/in/sammonga/), [Harsh](https://www.linkedin.com/in/harshmbhatt/), and [Pra](https://www.linkedin.com/in/prathikmuppidi/)[thik](https://www.linkedin.com/in/harshmbhatt/) — Mechatronics engineers from the University of Waterloo with decades of combined experience at Apple (iPhone), Google (Nest), and Meta (Oculus). After countless sleepless nights fixing robotic assembly lines and test stations, we decided it was time to create the ultimate tool for manufacturing. We’re building the solution we wish we had back then.\n\n\n\n### **Our Ask - Let's Transform Manufacturing Together**\n\nKnow someone struggling to get real-time data from robots, test stations, or factories? Let’s talk. Reach us at [founders@autumnlabs.io](mailto:founders@autumnlabs.io)",
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"title": "Coda — Natural language quantum computing",
"tagline": "Describe your problem and execute it on real quantum computers.",
"body": "\n\n**_TL;DR Quantum computing will not scale if every program is a hand-written circuit. The future is describing what you want a quantum computer to do and letting the system handle the rest._**\n\nHi - We are Brandon and Joel from Conductor Quantum.\n\nWe’re announcing Coda - our natural language interface for quantum computing.\n\nQuantum computers offer a new computing paradigm for simulating the world at the atomic level. This opens up new possibilities in chemistry, materials science, and drug discovery that push beyond what the largest classical supercomputers can handle.\n\n## Problem\n\nUsing quantum computers today requires deep domain expertise and low-level tooling.\n\n## Solution\n\n\n\nType your problem into a box, Coda builds the quantum circuit, verifies the code and runs it on current state-of-the-art quantum computers.\n\nIf you’re completely new to quantum, we’ve included a learn mode to get you started. One of the first quantum computers we’re offering on our platform is [Rigetti’s (S14)](https://www.ycombinator.com/companies/rigetti-computing) 84-qubit quantum computer. We also support simulations up to 34 qubits supported by NVIDIA cu-Quantum.\n\n## Why?\n\nWe’re building Coda because we want everyone to be able to access a quantum computer from their desk, as soon as possible.\n\n## What we’ve achieved so far\n\n* Built the first API for low-level silicon quantum chip control.\n* Partnered with quantum chip maker SemiQon and ran our software across 64 of their quantum devices.\n* Shipped quantum control software for companies including Quobly and EeroQ.\n\n## What’s next?\n\n* End-to-end GPU + QPU orchestration, so classical and quantum computation work together in a single workflow.\n* Connecting Coda to our lower-level quantum control and tune-up software, closing the loop from high-level intent to device-level execution.\n* Pushing our control software to larger numbers of qubits as hardware scales.\n\n## Team\n\n\n\n[Brandon](https://www.linkedin.com/in/brandon-severin/), CEO, Previously a postdoc at Oxford, with multiple Nature journal publications on silicon quantum computing. Developed early AI systems for automated qubit formation. PhD, Oxford.\n\n[Joel](https://www.linkedin.com/in/joelpendleton/), CTO, Built machine-learning–based control software for superconducting qubits at QuantrolOx, with prior roles at Quantum Motion and C12. MSc Physics, UCL. Left machine learning and quantum computing PhD at Oxford to start Conductor.\n\n[Raymond](https://www.linkedin.com/in/raymond-jow-190654145/), Founding Engineer, Former SpaceX guidance, navigation, and control software engineer whose code flew on 100+ Falcon 9 missions. Previously worked on robotics at NASA and quantum machine learning at Cornell. BS Physics and Computer Science, Harvard.\n\n## Asks\n\n* Join our team. We’re looking for hardcore full-stack quantum engineers who want to work across the entire stack - from device fabrication, fridge wiring to qubit operation. As well as engineers focused on quantum algorithms and applications.\n* Intros to companies based on hard science - think pharma, biotech, materials, chemistry, engineering who are interested in leveraging quantum computing in their workflows.\n* Email us at [founders@conductorquantum.com](mailto:founders@conductorquantum.com) \n* Try Coda here: [https://coda.conductorquantum.com/](https://coda.conductorquantum.com/login)",
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"created_at": "2026-01-21T17:45:59.744Z"
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"title": "Conductor Quantum - Quantum computers on silicon chips using AI",
"tagline": "Our AI software creates qubits 1000x faster than current methods.",
"body": "**Tl;dr:**\n\n* [Conductor Quantum](https://www.conductorquantum.com) is using **AI software** to **create qubits** in **semiconductor chips** to **build quantum computers** at scale.\n* The two founders met during their **PhDs at Oxford**. They have experience at 5 quantum companies and institutions, plus 4 publications between them.\n* Conductor Quantum is launching **the first publicly available API** to **classify quantum transport features in semiconductors**.\n\n# **🧑🔬🧑💻The Team**\n\nHi - We are Brandon and Joel! We are building Conductor Quantum.\n\n\n\nCEO, [Brandon](https://www.linkedin.com/in/brandon-severin/) – Brandon developed **_AI for Quantum Computing in Silicon_** during his **PhD** at **Oxford**. Over the past four years, Brandon has worked with four top quantum research institutions on **software for quantum device control** and has **four publications**, including one in **Nature**.\n\nCTO, [Joel](https://www.linkedin.com/in/joelpendleton/) – Joel has shipped software at **four deep tech companies** and has worked with a series of quantum devices ranging from **carbon nanotubes to superconducting circuits**. Joel studied **Physics at UCL** and **dropped out of his PhD** at **Oxford** to start Conductor Quantum.\n\nDuring Joel’s PhD at **Oxford**, he launched Feynman.ai— an AI science research assistant— with Brandon, which they bootstrapped to **300 signups within a month** of launch.\n\n# **😯 The Problem**\n\n* **Quantum computers** will **revolutionize drug discovery** and **material development** as we will, for the first time, be able to accurately **simulate nature at its most fundamental level**.\n* Leveraging the **trillion-dollar semiconductor** industry, silicon chips offer a **scalable architecture** for building quantum computers.\n\n→ Currently, quantum engineers **spend days, sometimes weeks,** manually configuring silicon chips to **create a single quantum bit (qubit)**, analogous to a bit in a classical computer.\n\n**→ We need millions, if not billions, of qubits** to make a **useful quantum computer.**\n\nAutomation software to create qubits at scale is vital to realize this goal.\n\n# **✅ Our Solution - AI software to create qubits**\n\n* We are building **leading AI software** that creates qubits by **learning and understanding the principles of quantum transport** in semiconductor chips.\n* Our AI software will **replace the human** in the loop, **unlocking rapid qubit generation** and **fabrication feedback iteration cycles**.\n* Automatic qubit creation and control are the foundation of **the first quantum operating system** on **semiconductor chips**.\n\n[Our AI Playground](https://youtu.be/FBeTFudh-Jc)\n\n# **🤝 How You Can Help**\n\n* Sign up for our [**waitlist**](https://www.conductorquantum.com) (Announcements soon!)\n* Quantum engineers who want to get back to building and save themselves 100s of hours per qubit created - Email us at [founders@conductorquantum.com](mailto:founders@conductorquantum.com)\n* We’d love intros to:\n * Chip designers/verifiers/manufacturers\n * Anyone who wants to **bring chip manufacturing back to the USA**",
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"created_at": "2024-08-22T17:05:04.031Z"
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"body": "TL;DR - Billions of dollars paid on import duties are eligible for return every year, but the claim process is costly and time-consuming. That’s where Pax comes in. We turn complex regulations into algorithms, so importers of all sizes can reclaim the money that's rightfully theirs effortlessly. **We can give sub $50m sales ecommerce brands 3-5% back on their sales**.\n\nHi everyone, we’re Penny and Chris, aka the team behind [Pax](https://www.getpaxai.com/).\n\n\n\n🧠 [Penny](https://www.linkedin.com/in/pennypinyichen/): 8+ years in research, built algorithms for supply chain and logistics @ Flexport, Amazon & MIT. Chat with me about #optimization #sauna #Taiwan.\n\n🎯 [Chris](https://linkedin.com/in/ctle): 6+ years in software engineering, built financial systems and supply chain solutions @ Amazon, Brex & TikTok. Chat with me about #boxing #meditation #Vancouver. \n\n# Problem\n\nU.S. companies spend over $100 billion annually on import taxes. The good news is that Duty Drawback—a tax refund program—lets companies reclaim that cash! Astonishingly, $10 billion (80% of eligible refunds) goes unclaimed each year. Why? The process is a real headache.\n\nToday, dealing with the government and customs brokerages takes months, as they take 10-20% of the refund and refuse to work on claims under $100k. As a result, only large enterprises file drawbacks, leaving smaller businesses out in the cold. With trade wars heating up, duty drawbacks are more important than ever—new rules like Tariff 301 include an additional 25%- 100% duty on $50 billion of Chinese goods. It’s time to make the process simple and accessible!\n\n# Solution\n\nPax creates a [**TurboTax-like experience**](https://youtu.be/UkJRXpiqLTo?si=J_b6BbnXw9erlv-9), requiring no duty drawback expertise. Our product uses AI to handle the heavy lifting of collecting, extracting, and validating data and maximizes claim amounts with optimization algorithms. Pax democratizes duty drawback, enabling importers of all sizes to recover money that is rightfully theirs.\n\nUsing Pax, companies:\n\n* Save hundreds of hours dealing with manual data entry.\n* Reclaim millions of dollars spent on import duties.\n* Full in-suite dashboard and analytic reporting.\n\n😀 **Ask**: If you or any companies you know import goods into the U.S. (e.g., retailers like Nike or manufacturers like Zero Motorcycles) or customs brokerages, we’d love to chat! Please reach us at [founders@getpaxai.com](mailto:founders@getpaxai.com)! ",
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"created_at": "2024-08-07T20:17:42.933Z"
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"body": "**_Tl;dr:_** Stempad is an online editor and platform that streamlines writing and sharing scientific documents fast. Take notes, write research papers, create and conduct exams, collaborate in real-time, share your work with the world, and more. [_Try it out today._](https://www.stempad.io)\n\n\n\nHi everyone, I’m [Ralph](https://www.linkedin.com/in/ralph-rouhana)! I’m on a mission to improve the way teachers, students, and scientists document and share their ideas.\n\n# **The Problem**\n\nHandwriting (via paper/tablet/board), a medium that is often substandard and that many struggle with, is currently the only viable way to do fast or impromptu scientific writing.\n\n* Students often resort to text editors unoptimized for science, such as Notion or Word, to take notes and write assignments.\n* Scientists use PowerPoint, wrestle with slow and expensive legacy software, and resort to handwriting to take notes, create writeups, or make presentations.\n* Remote tutors and their students require expensive tablets, styluses, and specialty software for a real-time digital whiteboard experience.\n* Professors often upload low quality scans of their messy handwritten class notes.\n\nThe list could go on. The ability to quickly and collaboratively document scientific ideas with a keyboard is a huge QOL and productivity boost for people and institutions doing science.\n\n# **Stempad To The Rescue 🔬**\n\nYou can think of Stempad as a **Notion for Science**. It is the world's first true pen-and-paper alternative for fast scientific writing. Quickly switch between different forms of technical visualization with the ease of a stylus and the convenience of your keyboard.\n\n\n\nStempad allows users to save, export and share their work, collaborate in real time, create and grade assignments, conduct remote exams, write research papers, take notes, create presentations, and so much more.\n\n\n\n# **My Asks**\n\n* Introduce me to educators, students, scientists, and decision makers **at schools, pharmaceutical companies, research teams, edtech companies, tutoring companies, summer schools, and relevant STEM programs.** [Click here](mailto:ralph@stempad.io?subject=Introducing%20you%20to%20Ralph%20at%20Stempad).\n* If you or any founders you know have B2B SaaS products in the education and science industry, I’d love to learn from you. [Click here](mailto:ralph@stempad.io?subject=Founder%20Intro).\n* [Sign u](mailto:ralph@stempad.io?subject=Founder%20Intro)[p](https://www.stempad.io/signup), use it next to others, and spread the word :)",
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"body": "[Distro](https://distro.app/) is the AI sales co-pilot designed for industrial wholesale distributors. We created Distro out of a passion for developing software for the “real economy,” and in particular for the trades. The Distro team is based in, and loves, NYC! 🗽\n\n### 😅 **The Problem**\n\nDistributors, particularly those mid-size and smaller, face a long list of point-of-sale challenges these days.\n\n_🧠 Brain drain_: the most experienced reps are at or near retirement and are taking a great deal of tribal knowledge with them.\n\n_🔧 Complex sales_: quoting entire systems, load calculations, replacing legacy parts and equipment.\n\n_📦 Inventory challenges_: growing SKU counts, supply chain disruptions, decreased inventorying by contractors.\n\n_🎓 Training and retention_: counter reps, in particular, are difficult to hire, train and retain.\n\nThese issues are amplified by the increasing importance of counter and inside sales relative to the rest of the sales organization–there has been a whopping 13 percentage point shift\\* towards counter staff and inside sales influencing purchasing decisions, moving away from territory managers/outside sales.\n\nTo top it all off, there is the ever-present and growing threat of larger players that have the resources to throw money and bodies at the aforementioned problems.\n\n_\\*_ 2023-2024 State of the Channel, HARDI (Heating, Air-conditioning & Refrigeration Distributors International)\n\n### 🔍 **Our Approach**\n\nWhat began as an academic curiosity about how to apply AI to distribution evolved into our team spending countless hours with distributor reps across the country over the course of a year, going deep on their day-to-day challenges, and building a distributor-centric solution from the ground up in partnership with several leading distributors. \n\nThis experience–fully immersing ourselves in a distribution vertical in order to go far beyond a superficial understanding of that vertical’s product universe and sales workflows–has shaped our product philosophy and overall approach. Some of our learnings:\n\n📍 _Meet reps where they are_: don’t try to push reps to adapt to a totally new paradigm. Adapt our workflows to how things really work at the counter.\n\n🚀 _Effortless onboarding_: distributor IT teams don’t need another tech project to distract them. Build solutions that avoid the need for long implementations.\n\n🔒 _Data sanctity_: distributors can spend a lot of time, energy, and money curating their data. Complete data security and privacy are necessary to protect that advantage.\n\n🛠️ _Enhance, don’t replace_: the human element is the key to a distributor’s value-add to its contractor customers. We’re building Iron Man’s suit, not the Terminator.\n\n### 💡 **Our Solution**\n\nOur platform helps counter and inside sales reps work more efficiently by transforming complex customer requests into real-time product information and quotes. With Distro, reps can quote faster, boost conversion rates, and increase customer retention. We support distributors in sectors like HVAC/R, plumbing, electrical, and more.\n\n\n\n\n\n\n\n\n\n### 🙏 **Asks**\n\n🤝 Connect with us: If you are a founder in the distribution, manufacturing, or contractor spaces, we’d love to share learnings.\n\n📣 Customer intros: distributors, contractors, and OEMs, particularly in HVAC/R, plumbing, and electrical.",
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"body": "[Remade Launch Video](https://www.youtube.com/watch?v=NV5d9S0cmaE)\n\n**tl;dr:** We use AI to generate professional product images from smartphone-quality inputs. These images are then used in marketplaces, social media & ads. Get your first photoshoot for free at [app.remade.ai.](http://app.remade.ai)\n\nHi everyone! We're Alex, Rehan, Chris, and Blendi — the founders of [Remade](https://www.remade.ai/).\n\n\n\n### **🧨 The Problem**\n\nTraditional photography is labor-intensive, slow, and expensive. Enterprises spend thousands on photography, while smaller businesses can't afford it. Existing AI platforms struggle to capture the user's vision and maintain the consistency of input images.\n\n### 🎉 **The Solution**\n\nRemade replaces the entire photography pipeline with 3 steps.\n\n1. Upload 10 photos of your item from different angles.\n2. Direct the photoshoots through text prompts, or let Remade suggest prompts for you.\n3. Receive studio-quality images in minutes.\n\n\n\nRemade reduces the costs of professional images by 100x and cuts delivery time from weeks to minutes. Work with us to amplify your marketing content across major social media platforms, including Instagram, TikTok, YouTube, Twitter, and more.\n\n## **Use Cases**\n\n**Fashion**\n\nHiring photographers, models, studio setups, lighting experts, and stylists can be replaced with three clicks, saving you thousands of dollars.\n\n\n\n**Food**\n\nIncrease your coverage of images across multiple sales channels, including food delivery platforms and social media.\n\n\n\n**Products**\n\nShowcase your products in scenes, build your brand, and boost advertisement engagement on social media and marketplaces.\n\n\n\n**Cars**\n\nDriving to the desert to get a cool shot of your car isn't a viable option for most car retailers. Take some pictures of your car in a parking lot, and let Remade do the rest!\n\n\n\n### **👋** **Ask: How you can help**\n\n* If you or anyone you know is struggling with photography, [please reach out to us](https://www.remade.ai/contact-us)!\n* Connect us to Delivery platforms (e.g. DoorDash, Uber Eats)\n* Connect us to Enterprise leaders (Fashion Brands, Marketplaces, Car Manufacturers) that aim to reduce photography operational costs!\n* Connect us to small businesses (e.g. Restaurants) that need help with Photography / Social Media management\n* Give us product feedback [here](https://www.remade.ai/contact-us).\n\nThanks - we hope to see you on our platform! 😊🚀",
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"body": "\n\n### **The backstory**\n\nHi everyone, we’re Carl and Brian, aka the team behind [Thunder Compute.](https://thundercompute.com)\n\n\n\nBefore Thunder Compute, [Carl](https://www.linkedin.com/in/cpeterson42) was a Management Consultant at Bain & Company, and [Brian](https://www.linkedin.com/in/brian-model/) was a Quantitative Developer at Citadel Securities. Carl and Brian met at Georgia Tech and have been close friends for over 6 years.\n\n### **Problem**\n\nGPU access sucks. Today’s options are expensive and hard to use. Developers are crowded out of the market by large corporations and can’t get the GPUs they need for reasonable prices. Even if you can afford GPUs, they are scarce and hard to use.\n\n### **Solution**\n\nThunder Compute sells cloud GPUs for the lowest rates on the market and provides a simple interface to access them.\n\nYou can connect in one click through VSCode, without SSH. We have “prototyping” mode, with prices 50% lower than anywhere else, and “production” mode, with higher uptime and multi-GPU nodes.\n\n### **Our offer**\n\nSimple: low-cost, easy GPUs. \\\n\\\nIf you’re looking for a better GPU cloud, join Thunder Compute’s public beta today at [www.thundercompute.com](https://www.thundercompute.com).\\\n\\\nIf you have questions, need technical support, or want to rant about the current state of GPUs, join our discord at [**https://discord.gg/nwuETS9jJK**](https://discord.gg/nwuETS9jJK) or contact us at [**founders@thundercompute.com.**](https://mailto:founders@thundercompute.com/)",
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"body": "# **tldr; Fast-track your robotics development**\n\nAt [**Ember**](https://www.emberrobotics.com/), we make it easy for robotics teams to catch and fix issues fast. Our edge-first robot diagnostics platform helps you stay on top of system performance—whether you're prototyping, scaling, or deploying in the field. \\\n\\\nWith instant insights and built-in reliability, we help you move faster, build smarter, and launch with confidence. Ready to try it out? Book a demo [**here**](https://www.emberrobotics.com/) or reach out to us at [**founders@emberrobotics.com**](mailto:founders@emberrobotics.com)!\n\n# **The problem**\n\n1. **No Visibility in Low-Network Zones** – When robots lose connectivity, **cloud-based diagnostics fail**, making it hard to track performance or troubleshoot failures in real time.\n2. **Slow, Costly Root-Cause Analysis** – Debugging is painful, with teams sifting through **dense logs and complex graphs** instead of getting clear, actionable insights.\n3. **Inefficient DIY Monitoring Stacks** – Robotics teams **waste months building custom diagnostics** because existing tools don’t work for their needs.\n4. **Reactive Debugging Leads to System Failures** – Without **proactive monitoring**, small issues snowball into major downtime and expensive repairs.\n\n# **Our solution**\n\n### **🌐 Works Offline**\n\n* **Edge-first diagnostics** to store and analyze data even when the network is down.\n* **Smart caching & prioritized sync** ensure no critical insights are lost.\n\n### **🔍 Faster, Clearer Troubleshooting**\n\n* **Instant anomaly detection** surfaces failures before they escalate.\n* **Real-time sensor & system health analytics** (cameras, IMU, LiDAR, CPU, memory).\n* No more digging through logs—just **straightforward insights** when you need them.\n\n### **⚡ Seamless Integrations**\n\n* **Built-in Sensor Plugins & Robotics Middleware Support** – Off-the-shelf support for **Intel® RealSense™, Luxonis®, Orbbec®**, and more. Easy integrations for **ROS and e-Cal** —no extra setup required.\n* **Deploy in minutes with standard Linux packages**—skip the custom integrations.\n* **API-first design** lets you access diagnostics effortlessly and extend with your own **custom metrics plugins**.\n\n### **📈 Scale up to Fleet-Wide Monitoring**\n\n* Grow reliably from 1 to 10,000 robots with **consistent, structured data collection**.\n* Identify **trends & patterns across groups of sensors and devices**.\n* Works in **low-bandwidth environments**, ensuring continuous insights.\n\n# **Check it out**\n\n\n\n[**\\[dashboard demo\\]**](https://www.tella.tv/video/ember-robotics-dashboard-gvog)\n\n[**\\[real-time diagnostics demo\\]**](https://www.tella.tv/video/ember-real-time-diagnostics-walk-through-dcdf)\n\n### **Meet the team**\n\nWe built software at Simbe Robotics and Tesla Autopilot to optimize robot reliability—covering real-time diagnostics, sensor calibration, field service alerts, and low-latency data pipelines. From early R&D to fleet-scale deployment, we ensure robots stay operational, efficient, and ready for any environment.\n\n\n\n# \n\n# **Our ask**\n\nStruggling with blind spots in your fleet? Drowning in logs while root-causing issues? **Ember streamlines troubleshooting and ensures reliable performance—no matter the network conditions.**\n\n🔹 **Book a demo** → [**here**](https://www.emberrobotics.com/)\n\n🔹 **Know someone working with robots, drones, or multi-camera systems?** Send them our way!\n\n🔹 **Just love talking robots?** Same—let’s chat!\\\n\\\nLet’s make **robot monitoring effortless.** Hit us up at [**founders@emberrobotics.com**](mailto:founders@emberrobotics.com)! 🚀",
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"body": "# **tldr; Got camera problems? We’ve got solutions.**\n\n[Ember](https://www.emberrobotics.com/) builds software to monitor and resolve robot camera issues - so you can reduce vision failures from the source.\n\nIs robot camera reliability or degraded vision driving you nuts? Book a demo [here](https://www.emberrobotics.com/) or reach out to us at [founders@emberrobotics.com](mailto:founders@emberrobotics.com)!\n\n### **The problem**\n\nWe’ve spent years working on vision systems for autonomous robots and found similar issues everywhere:\n\n\n\n☐ Robotics companies work on lean teams that have to do lots of things super fast - **hardware reliability is often secondary to core product features**\n\n☐ **Camera failures cause large fires** because they float up the stack to critically damage perception, controls, and safety\n\n☐ **Digging through layers of software / hardware to figure out what went wrong is painful** (ex. sometimes you spend hours goose-chasing a “perception issue” just to find a loose cable)\n\n### **Our solution**\n\n\n\n**A camera diagnostics framework that ties in real-time data, logs, and reports to contextualize your robot’s vision health.** Support the full life-cycle of your robot with features like:\n\n✅ Out-of-the-box tracking for common issues (disconnection, frame drops, time sync)\n\n💬 Automated suggestions for error resolution\n\n⏱️ Real-time alerts\n\n🖌️ Image quality analysis tools to optimize computer vision\n\n📈 Historical data analysis for predictive maintenance\n\n### **Try it out: Plug-and-play camera testing**\n\nBench-test cameras or diagnose issues in the field with one easy tool. **Fill a config file, launch our service, and get fast metrics on camera health.**\\\n[demo](https://www.youtube.com/watch?v=OnoCmdVEzzM)\n\nCurrently we support Intel® RealSense™ D400 cameras and ROS - more cameras and pub-sub models coming soon!\n\n### **Meet the team**\n\n\n\nHi, we are [Shivani](http://linkedin.com/in/shivanicm) & [Ritika](https://www.linkedin.com/in/ritikashrivastava/)! We built software at Tesla Autopilot to optimize camera performance for autonomy. We’ve covered the camera stack end-to-end (low-latency image capture, real-time camera monitoring, online camera calibration, multi-trip reconstruction, and SLAM) - we’re passionate about helping robots see!\n\n### **Our ask**\n\nIs robot camera reliability or degraded vision driving you nuts? Book a demo [here](https://www.emberrobotics.com/) or reach out to us at [founders@emberrobotics.com](mailto:founders@emberrobotics.com)!\n\nIf you know anyone working on robots, drones, or other multi-camera systems (surveillance, manufacturing, etc.) we would love a warm intro.\n\nAnd for those who are just generally robot-curious - always happy to chat!",
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"title": "Intryc raises $3.1M for customer service monitoring software - Tech.eu",
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"title": "Intryc: AI Simulations and QA for CX Teams",
"tagline": "All-in-one Quality Assurance and Training Platform for world-class CX Teams",
"body": "Hi YC community!\n\nTeam Intryc (S24) here and excited to show you the second and most upgraded iteration of our product, already used by billion dollar companies like [Deel.com](http://Deel.com) and Blueground as well as hypergrowth startups like Fyxer AI and Factorial.\n\n| The Team |\n\nFor those who don’t know us yet, our team spent 8+ years in the CX space. We’ve solved support tickets, managed accounts, built cross-country/continent teams and created entire playbooks and processes of how world-class CX teams should interact and support customers across the globe in our previous employers at Revolut, Confluent, Navan, Meta, Amazon.\n\n| The Problem |\n\nCreating a culture of operational excellence, overachieving, and top performance is one of the toughest challenges every company and leadership team face.\n\nEspecially in CX, every customer interaction can make or break that customer trust and turn into a nightmare or opportunity. There’s two sides to this problem. Lack of visibility and time to action.\n\nWe solved the first half during our S24 batch when we released our AI QA tool for CX teams that allows companies to monitor up to 100% and the most important samples of their customer interactions. Moving onto the second half, CX and Learning & Development managers spend 15+ hours per week building performance improvement material, aligning resources, and ensuring agents, CSMs, and adjacent CS Ops teams are well trained and prepared. Through role plays, shadowing, piecing together training material, reiterating, and updating the relevant resources - all critical activities yet still remain highly manual, unscalable, and more often than not outdated and simplistic. 2 out of 3 customers churn after a single negative support interaction. Training and coaching is more often than not limited, reactive, time-consuming, and inconsistent.\n\n| The Solution |\n\nRealistic Simulations: Agents practise on challenging, real-life scenarios (based on past tickets) in a safe environment. Low stakes, high gains!\n\nAutomated Scoring: Every interaction is measured against your org’s policies & playbooks, with unlimited tries and clear graduation paths. No more guesswork, team members get instant and clear feedback.\n\n\n\nTargeted Coaching: Managers instantly see who needs help and where, cutting wasted training time. Enough with one-size fits all, different people need help in different areas.\\\n\\\nAlways Improving: Both new joiners and seasoned agents keep up-to-date with new products or processes effortlessly.\n\n\n\nContinuous monitoring and process improvement: All data points are collected in personalised dashboards and reports that create a virtuous cycle of improvement across the team while completely eliminating up to 80% of manual preparation work and continuous manual data gathering and reporting across the organisation. Systems over wishful thinking.\n\n\n\nThe first results on our early adopters show onboarding and training time reduced by up to 50%. Managers reclaim 12–15 hours per week.\n\nAgents have a lot more visibility on their performance progress, don’t have to guess any more and continuously improve like having a personal coach in their pocket.\n\nWe’re excited for as many of you as possible to give this a try and share your feedback!\n\nUpvote our launch here: [https://www.producthunt.com/products/intryc?launch=intryc](https://www.producthunt.com/products/intryc?launch=intryc%5C)\\\nThank you all for your support!",
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"title": "Intryc - Use AI to automate Quality Assurance for Customer Support",
"tagline": "Sample tickets, evaluate human and AI agents, and unlock customer insights across all your customer interactions",
"body": "Hi everyone, we’re Alex, George, and Dimi!\n\nWe are ex-Meta, Amazon, Revolut, and Confluent engineering and GTM folk who have spent more than 7 years improving the customer experience in companies like Meta, Amazon, Revolut, Confluent, and Navan. We decided to build Intryc with the mission to centralize and automate the repetitive, error-prone, and manual tasks in the Support QA process to free up the time of CX teams so they can focus on what really matters to them - their customers and business goals.\n\n\n\n**tl;dr**\n\n[Intryc](https://intryc.com/) uses AI to automate Quality Assurance for customer support. Customers like [Deel.com](http://deel.com) centralize and automate parts of their Quality Assurance on Intryc to ensure agent compliance, double QA productivity, reduce costs by 50%, and prevent negative customer interactions while collecting actionable product and customer insights.\n\n**The Problem**\n\nQuality assurance for customer support is vital in regulated sectors like banking and utilities. Millions of customer inquiries must be handled and evaluated consistently and accurately to avoid regulatory non-compliance and brand reputation damage. This process is typically run manually by internal teams that still rely on outdated systems or spreadsheets to review and evaluate customer interactions. Even the most efficient QA teams can evaluate less than 5% of total tickets, leaving millions of interactions unreviewed and risking regulatory compliance, reputation damage, and increased customer churn.\n\n\n\n**The Solution**\n\nIntryc’s AI-powered solution automates the manual, repetitive, and error-prone tasks of the QA process, integrates with knowledge bases and data sources, such as help desks and CRM systems, to streamline the entire process end-to-end and allows organisations to scale their Support QA, without the scaling costs!\n\n\n\n**What Intryc offers:**\n\n* **Automated Intelligent Sampling**\n * Automate your sampling and workload distribution to ensure an optimal ratio of QA specialists to sampled tickets, minimising idle QA time.\n * Create targeted customer ticket samples with AI based on sentiment, keywords, or other custom rules.\n* **Dynamic Workload Distribution**\n * Create hybrid or fully automated AI evaluation workloads to double your team’s productivity.\n* **Custom Scorecards and Unlimited Coverage**\n * Optimize your scorecards with customized criteria based on internal playbooks, knowledge bases, or evaluation repositories.\n * Score up to 100% of your tickets with AI without a single human involved, or try AI vs human A/B testing, and override AI evaluations when required.\n * Get AI-generated ticket and agent evaluation summaries.\n* **Tailored Agent Coaching**\n * Get AI-generated summaries of underperforming agents based on scorecard ratings and provide tailored coaching to each agent.\n* **Extensive reporting**\n * AI generated insights based on key topics, product areas, or customer service from your entire ticket base.\n * Real-time ticket evaluations and agent performance summaries for management.\n\n**👋 Ask: How you can help**\n\n* Support us on [here](https://www.linkedin.com/company/intryc/) on socials!\n* Connect us to COOs or Customer Support/Experience/Operational leaders in your network at [alex@intryc.com](mailto:alex@intryc.com).\n* Give us product feedback as a company leader who cares about their customers’ experience and supports the team’s performance. Book a 15-minute demo [here](https://www.calendly.com/alexmarantel).\n\n**💥 The Deal**\n\nInbound from the YC network will get a 50% discount. Email [alex@intryc.com](mailto:alex@intryc.com) to redeem the deal!",
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"body": "**Tl;dr:** Parley helps immigration lawyers write visa applications using AI. We integrate directly into a lawyer’s typical workflow so they can start writing with Parley from day 1 and deliver results to their clients faster.\\\n—\n\nHi everyone, we’re Jackson, Philip, and Ian, and we’re the co-founders of [Parley](http://www.parley.so).\n\n\n\n**📚 The Problem**\n\nIt’s no secret that the immigration system in the U.S. is broken. Anyone pursuing a work or immigrant visa will tell you about the difficulties of lottery systems, exorbitant fees, and endless paperwork. \n\nAt Parley, we believe an important piece to fixing this process is **automating work for immigration firms.** For some visa types, a lawyer or legal writer spends several days writing a single application, learning about the most complex and technical professions, collating hundreds of pages of evidence, and synthesizing it all into a cohesive petition. Meanwhile, an applicant eagerly waits for their opportunity. By helping lawyers work better on a daily basis, we hope to accelerate Parley’s speed to impact — reducing the complexity of immigration.\n\n**✍️ The Solution** \n\nParley makes immigration processes easier. Our first product, the O-1A Writer, helps **immigration attorneys speed write a petition** while keeping them in the loop. As a lawyer does the critical thinking in specifying what argument they want to make, our writer dynamically pulls content from an applicant's evidence, fits that material to the context of the application, and automatically drafts a petition for review. We do this all directly in Microsoft Word — where most attorneys spend their time writing. We’re quickly expanding support for more visa types like the H-1B, TN, EB-1, EB-2 NIW, L-1, and more.\n\n\n\n**Asks:** \n\n* Want to use the product? **Book a demo **[**here**](https://calendly.com/philip-parley/15min)**.**\n* **Been through a visa process?** Reach out to us and tell us about your journey at [founders@parley.so](mailto:founders@parley.so) - we’d love to talk!\n* **Like what we’re building?** Share this post! Spread the word to help us build toward the vision of making immigration simple.",
"url": "https://www.ycombinator.com/launches/LHK-parley-making-immigration-simple",
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"tagline": "Automating procurement to save manufacturers time and money.",
"body": "# It Is 2025\n\nTariffs are spiking. Contracts are collapsing. And manufacturers? They're fighting to keep the lights on while costs explode.\n\n📉 Fortune 500s have already lost **over $5 billion** to supply chain failures this year.\\\n📈 Tariffs are **hitting 145%**. Imports could plummet 20%.\n\n_So who’s left holding the bag?_\n\n**Procurement**. They need to keep raw materials flowing—fast!\n\nBut instead of focusing on supplier relationships or unlocking opportunities, procurement teams are stuck chasing emails, digging through spreadsheets, and losing time—and money—by the hour.\n\n# Enter Soff\n\n\n\nSoff connects directly to your purchasing inbox, streamlining how manufacturers request, track, and approve supplier quotes—all in one place.\n\n1. No more chaos. Just **faster, smarter** procurement.\n2. **60% faster** procurement cycles.\n3. Teams freed up to do what matters: manage supplier relationships and **keep production running**.\n\n\n\n# The bottom line\n\nYou can’t control global tariffs. But you **can** control how fast you respond. The manufacturers who win in 2025 will be the ones who move **quicker than the chaos**.\n\n👉 Visit [soff.ai](http://soff.ai) to see how.\\\n🎯 Know a manufacturer? We’re offering **free consultations** to navigate today’s tariff mess.\\\n⬇️ Hear what customers say about Soff.\n\n",
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"title": "🚛 Soff: Supply Chain Operating System for Manufacturing Companies",
"tagline": "Unify supply chain data and automate core workflows.",
"body": "**⛓️ TL;DR**\n\n[Soff](https://soff.ai) is a supply chain operating system for manufacturing companies. We automate data entry, requesting quotes, comparing quotes, and issuing purchase orders. Our customers save dozens of hours a week spent on repetitive manual tasks.\n\n👬 **Team**\n\nWe met five years ago while studying at the CDTM in Munich. Most recently, [Berni](https://www.linkedin.com/in/hausleitnerb/) worked as a full-stack engineer at Tesla on the Autopilot team, whilst [Raban](https://linkedin.com/in/raban) finished his engineering master’s at Stanford. At Tesla, Berni built tons of internal tooling and saw the supply chain inefficiencies firsthand. During the batch, Raban worked as a purchasing manager for one of our customers.\n\n🌋 **Problem**\n\nSupply chain data is spread across multiple platforms, such as ERPs, custom spreadsheets, and email inboxes, leading to inefficiencies and a lack of visibility. Supply Chain Managers spend hours each week searching through emails and spreadsheets to track the status of parts procurement, from request to quote to award. This process is not only time-consuming but also prone to errors and delays. For example, changes in production schedules require Supply Chain Managers to follow up with all suppliers individually to adjust their purchase orders. Quotes that aren’t used are lost in the abyss of email inboxes. Suppliers are reluctant to upload quotes to yet another portal and often fail to notify about delays, leading to costly production standstills.\n\n🚛 **Solution**\n\n\n\nSoff connects suppliers, parts, and quotes into a single platform.\n\nWe integrate with ERPs and email to automate supplier communication, send RFQs, and issue purchase orders. We turn unstructured email and PDFs into SQL-ready data, injecting quotes directly into the ERP system. We eliminate the need for manual data entry and dedicated supplier portals, thus increasing supplier response rates.\n\nOur platform stores quote data, ensuring no loss of information when switching suppliers or moving from single-source to dual-source. It also tracks parts from the initial request through to the final receipt, providing a complete overview for supplier management.\n\nSoff enables manufacturers to deliver higher-quality products faster. Companies like SpaceX (Warpdrive), Rivian (Basecamp), and Apple (Incline) spend millions on building their in-house supply chain tools—we bring that level of efficiency to any manufacturer.\n\n**❤️ How you can help**\n\nIf you work in Supply Chain or work(ed) at a manufacturing company we’d love to connect. Send us a message at [founders@soff.ai](mailto:founders@soff.ai). 📨\n\n\n\n",
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"title": "Exa Laboratories - 27.6x more efficient chips for AI 🔥🚀",
"tagline": "Reconfigurable chips for AI that are 27.6x more energy efficient.",
"body": "### TL;DR:\n\nWe're building reconfigurable chips for AI that are up to 27.6x more efficient and powerful than the H100 GPUs. This could save data centers hundreds of millions to billions in annual energy costs.\n\n### Meet the Team\n\nHello! We're [Elias](https://www.linkedin.com/in/almqv/) and [Prithvi](https://www.linkedin.com/in/prithvi-raj-eng/) from [Exa](https://exalaboratories.com/). We're developing **reconfigurable chips for AI** that are up to around **27\\.6x\\* more efficient and performant** than the modern H100 GPUs.\n\n\\*: [_Read our litepaper!_](https://exalaboratories.com/litepaper)\n\n\n\n[**CEO, Elias Almqvist**](https://www.linkedin.com/in/almqv/) (right): Self-taught engineer who also studied computer science and computer engineering (dropped out and founded Exa, btw) at Chalmers University of Technology. Previously worked in the embedded software space but also worked on various aerospace projects at university.\n\n[**CTO, Prithvi Raj**](https://www.linkedin.com/in/prithvi-raj-eng/) (left): Holds an MEng from the world-leading Computational Stats & ML Lab at Cambridge. During his time there, he fell in love with scientific machine learning, a field that demands bespoke neural network architectures and extreme hardware efficiency, and also interned at Microsoft as a software engineer.\n\n### The problems!\n\nThe AI industry faces critical challenges threatening its sustainable growth:\n\n1. **Unsustainable Energy Consumption**: Modern GPUs consume 600-1000 W per unit, creating massive scaling issues for data centers. Large data centers face energy costs in the hundreds of millions to potentially billions each year. **GPU power draw seems to be increasing with each new release**, while **compute per area has remained the same** for the past 5 years.\n2. **Exponential Compute Demand**: With AI advancements, computational power demand is rapidly increasing. Unchecked, this trend could lead to an energy crisis, impeding AI progress and costing data centers billions of dollars.\n3. **Hardware Limitations**: **Current fixed architectures constrain AI innovation**. They lack the versatility to efficiently support diverse AI architectures and custom neural network designs crucial for solving real-world problems.\n\n### The solution.\n\nExa's polymorphic computing technology addresses these challenges:\n\n* **Reconfigures for each AI model architecture**, maximizing efficiency and versatility\n* Supports diverse approaches, from **transformers** and **GPTs** to novel AI architectures (e.g., the new [**Kolmogorv-Arnold Networks (KAN)**](https://arxiv.org/abs/2404.19756))\n* Early simulations indicate potential efficiency gains of up to **27\\.6x** over the H100 GPUs\n\n**This technology could save data centers hundreds of millions to billions in annual energy costs**, significantly reducing operational expenses and environmental impact.\n\n\n\nFor a somewhat deeper technical dive, refer to our [litepaper](https://exalaboratories.com/litepaper)!\n\n### Asks :)\n\n* Read our [litepaper](https://exalaboratories.com/litepaper)! All feedback welcome!\n* Introduce us to anyone in the scientific machine learning space and/or someone conducting research in AI, **particularly those who have very “_cursed model architectures.”_**\n* Get us in contact with any data center, AI research organization, or GPU cloud provider (i.e., AWS, OpenAI, Anthropic, DeepMind, Lambda).\n* Give us intros to semiconductor industry professionals, particularly those interested in **bringing back chip manufacturing to the US**!\n\nFeel free to reach us at [founders@exalaboratories.com](mailto:founders@exalaboratories.com), **we would love to hear your feedback and answer your questions!**",
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"body": "**tl;dr:** The same core technology that led to the LLM explosion can be adapted to build accurate and easy to use time series models. We’re building the enterprise-grade, plug and play forecasting systems of tomorrow. [Talk to us](https://mailto:founders@theforecastingcompany.com) if you have forecasting and planning use-cases!\n\n\\\nHi everyone, we’re Geoff and Joachim. We’ve built ML and forecasting systems at Amazon, Google, Bloomberg LP, JP Morgan, and Sonos. We’re The Forecasting Company!\n\n### Problem 📉\n\n* Existing time-series forecasting solutions produce **unreliable predictions** with sometimes catastrophic results - they have a hard time handling activity spikes like Black Friday.\n* Developing and maintaining useful forecasting and planning models requires **large and costly teams** of data scientists and domain experts.\n* Data science teams are backlogged, leaving operators **waiting for months** before a use-case to be put into production.\n\n### Solution 📈\n\n* **An easy to use, flexible and accurate forecasting system. No training required!**\n* A **massive training dataset of time-stamped data** from many industries and domains (energy, transportation, etc.).\n* A forecasting model that can leverage **user-provided input variables** or our own **curated data streams**.\n\n### What we’re forecasting these days\n\n# Bacteria levels in the Seine 🦠 🏊♂️\n\n\n\nOur forecasts show that swimmers lucked out today 🍀!\\\n(Data provided courtesy of the [Fluidion Open Data Initiative)](https://fluidion.com/open-data-initiative/2024-seine-water-quality)\n\n### Ask\n\n* If you have forecasting problems in-house, or know of someone who does, **please reach out - we’d love to help!**\n* **Try our sandbox model** on [www.theforecastingcompany.com](http://www.theforecastingcompany.com) and let us know what you think\\\n [founders@theforecastingcompany.com](mailto:founders@theforecastingcompany.com)",
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"title": "Presti - Product photos for the furniture industry with GenAI",
"tagline": "We offer a faster and cheaper solution to create product photos for furniture companies.",
"body": "### **TL;DR**\n\n[**Presti**](https://www.presti.ai/) offers a faster and cheaper solution to create Product photos for furniture companies. **We currently serve 100 paying B2B users with a 10% growth week over week.** Try it for free [**here.**](https://app.presti.ai/)\n\n**—**\n\n### **Team**\n\nHi everyone, we are [Abdellah](https://linkedin.com/in/abdellah-lamrani-alaoui-6288a4a6), [Hamza](https://linkedin.com/in/hamza-bennis-143635a6), [Nabil](https://linkedin.com/in/nabil-toumi-b58b0084), and [Saad](https://linkedin.com/in/bencherifs) (from left to right in the picture). We’ve been close friends since our time at Ecole Centrale Paris 10 years ago and have developed strong AI expertise at top tech companies like Uber and BCG Gamma.\n\n\n\n### **Problem**\n\nFurniture companies spend millions and months each year on photoshoots or CGI to create product images.\n\nThey also can’t use any genAI tools because:\n\n1\\. General models fail to produce quality results for furniture products\n\n2\\. The industry requires specific, unique features that standard tools don't offer.\n\n### **Solution**\n\n_How does it work?_ \\\nWith Presti, users can upload a simple product image and stage it in any environment within seconds. Our platform also enables users to manage all aspects of product visuals. For example, users can change the color and texture of their products or also have the ability to generate consistent visuals for an entire collection.\n\n_How did we address the problem?_ \\\nWe've developed a specialized diffusion model optimized for furniture, delivering studio-quality results. Additionally, we’ve launched over 10 AI-driven features specific to the industry\n\n_The tool_\\\nTry out Presti for free [**here.**](https://app.presti.ai/)\n\n\n\n### **Ask**\n\nIf you're **a furniture company** or **connected with a furniture brand**, feel free to contact us at [founders@presti.ai](mailto:founders@presti.ai)",
"url": "https://www.ycombinator.com/launches/Lhr-presti-product-photos-for-the-furniture-industry-with-genai",
"votes": 22,
"created_at": "2024-08-26T23:24:03.980Z"
}
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"website": "https://www.cerulion.com",
"all_locations": "San Francisco, CA, USA",
"long_description": "Cerulion is an open source operating system for robots built by 2 MIT robotics PhDs. Engineers at Amazon Robotics and Boston Dynamics AI Institute are using us to develop faster and ship more reliable robots than with ROS. With up to 1000x improvements in communications performance over state of the art, Cerulion is enabling the next generation of embodied AI.",
"one_liner": "Open source operating system for robots",
"team_size": 2,
"industry": "B2B",
"subindustry": "B2B -> Engineering, Product and Design",
"launched_at": 1720480188,
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"url": "https://www.ycombinator.com/people/diana-hu"
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"full_name": "Lakshay Sharma",
"title": "Founder/CEO",
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"location": "Mountain View, CA, US / Boston, MA, US",
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"title": "Predicting AI’s future from Y Combinator’s new startup cohort - PitchBook",
"url": "https://pitchbook.com/news/articles/y-combinator-demo-day-ai-startups-analysis",
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{
"id": 83665,
"title": "Cerulion 🤖 Fast, reliable, cross-platform robot middleware",
"tagline": "Cerulion enables lightning-fast, rock-solid communications for safe robots with an easy, cross-platform GUI.",
"body": "Robots are expensive and hard to develop/debug. [Cerulion](https://www.cerulion.com/) solves the robot tooling problem to cut down development times by up to 10x.\n\n# The Problem\n\nThe incredibly high capital costs required for robotics, combined with the inherently non-deterministic nature of embodied intelligence, result in an unpredictable system where even attempts, let alone failures, are cost-prohibitive.\n\n**Robots are expensive and hard.**\n\nAnd yet, despite time on hardware being such a precious resource, roboticists today are absolutely wasting 90% of it fighting against unoptimized tooling. Some common complaints are:\n\n* Needlessly complex to install, maintain, and document\n* Incredibly steep learning curve for non-transferable skills\n* Poor observability into a robot's belief\n* Artificial non-determinism induced by slow or unreliable message-passing\n* Unreliable network protocols and IPCs\n* System breakdown due to poor inter-robot communication\n* Unreliable logging and cumbersome/nondeterministic log replay\n* Wasting precious field time parsing 1000s of lines of runtime errors whooshing past the screen\n\nAnd the list goes on and on.\n\n**Robot tooling today is broken. Unacceptably so.**\n\n# Our Solution: Performance never looked this good!\n\n\n\n* **Packaged as an app, rather than a CLI tool:** Instead of shipping as a bunch of CLI tools to be installed, patched, and reinstalled, Cerulion is an app you can download on Windows, Mac, or Linux. It will smartly detect and handle any dependencies as needed.\n* **Intuitive, cross-platform visualizer:** The sleek, easy-to-use GUI is the main way of communicating with your robot in the field, which means you can run it with minimal resources on your favorite long-lasting laptop with any OS, instead of **_that_** RGB laptop with a gaming GPU running Linux.\n* **Minimal boilerplate and setup:** The way you program robots in Cerulion is designed to get out of your way, so you can focus on the planner and perception algorithms instead of worrying about the inter-process comms, IP addresses, or network routes.\n* **Fast and reliable communication:** We leverage cutting-edge Rust-based networking and IPC stacks like [Zenoh](https://github.com/eclipse-zenoh/zenoh) and [IceOryx2](https://github.com/eclipse-iceoryx/iceoryx2), along with tried and tested C++ alternatives like [LCM](https://github.com/lcm-proj/lcm) and [IceOryx](https://github.com/eclipse-iceoryx/iceoryx). By ensuring communications don't fail silently and messages are delivered when expected, Cerulion eliminates nasty surprises in safety-critical scenarios.\n\n# Meet The Team\n\n\n\nAs robotics PhD students at MIT, [Lakshay](https://www.linkedin.com/in/lakshay2010sharma/) and [Se Hwan](https://www.linkedin.com/in/sehwan-jeon/) have gathered years of experience (and frustration) working on robots, and want to see a world where you can take robot reliability for granted.\n\n# Our Ask\n\nHave experience with ROS or any other robot middleware? Did we miss something above that you really need? Send us a message at [founders@cerulion.com](mailto:founders@cerulion.com)!\n\nWe always love (and are happy to provide) warm intros to people working on robots and automation.\n\nAnd of course, if you need help with your robot system, or are curious about any of this, we're happy to chat!\n\nP.S. — Please star our [GitHub repo](https://github.com/cerulion-inc/cerulion)!",
"url": "https://www.ycombinator.com/launches/LlR-cerulion-fast-reliable-cross-platform-robot-middleware",
"votes": 26,
"created_at": "2024-09-02T15:47:55.198Z"
}
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"id": 29782,
"name": "Laminar",
"slug": "laminar",
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"website": "https://laminar.sh",
"all_locations": "London, England, United Kingdom",
"long_description": "Laminar is open-source observability for AI agents. Trace complex workflows, replay and debug agent runs, and detect anomalies across trajectories at scale.",
"one_liner": "Understand why your AI agent breaks. Iterate fast to fix it.",
"team_size": 6,
"industry": "B2B",
"subindustry": "B2B -> Engineering, Product and Design",
"launched_at": 1721337823,
"tags": [
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"regions": [
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"stage": "Early",
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"url": "https://www.ycombinator.com/companies/laminar",
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"year_founded": 2024,
"city": "London",
"country": "GB",
"linkedin_url": "https://www.linkedin.com/company/lmnr-ai/",
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"name": "Jared Friedman",
"url": "https://www.ycombinator.com/people/jared-friedman"
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"user_id": 1771812,
"full_name": "Robert Kim",
"title": "Founder/CEO",
"founder_bio": "Co-founder and CEO @ Laminar (lmnr.ai). Previously, I interned at Palantir where I built semantic search package which now powers many internal AI teams and worked on resource allocation engine at core infrastructure team. I also interned at Bloomberg where I scaled market tick processing pipeline by 10x to 10M ticks/s.",
"is_active": true,
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"full_name": "Din Mailibay",
"title": "Founder/CTO",
"founder_bio": "Co-founder and CTO at Laminar (laminar.sh). Previously, I have worked at Amazon for 2 years building and scaling critical payments infrastructure. Before that, I've spent a year creating ML infrastructure for a drug discovery biotech startup in Korea.",
"is_active": true,
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{
"id": 98606,
"title": "Laminar – Understand why your agent failed. Iterate fast to fix it.",
"tagline": "Open-source observability platform for long-running agents — trace in one line, replay-debug from any step, detect patterns at scale.",
"body": "Hey everyone, Robert from Laminar (YC S24) here. The entire observability space was built for request-response LLM apps. Nobody was building for Agents that run for 40 minutes and fail in ways you can't reproduce. So we did.\n\n## Tracing that actually helps you understand what happened\n\nMost observability platforms just collect data and wait until you go look at it. And when you do, you get a tree of spans. You click into one, read it, go back, click the next one, try to hold the context in your head. For a simple LLM call, that's fine. For an agent that ran for 30 minutes and made 200 decisions, it's practically useless.\n\nWe built Laminar's tracing to give you as much information as quickly as possible.\n\nOur trace timeline and **reader mode** lay out the agent's reasoning and actions as a clean, readable feed.\n\n\n\nYou open a trace and immediately see what the agent did, what it was thinking, and where things went wrong (we also capture and show application level exceptions). For browser agents, we record **full browser sessions synced with traces**. You literally see what the agent saw at every step → .\n\nIf a trace is too complex to parse visually, you can **chat with it**: ask questions about what happened in natural language, instead of manually digging through hundreds of steps. We take into account the whole context of the trace, not just a single span.\n\n\n\nWe can confidently say that we have the best tracing DX on the market. It’s one line of code to integrate. Laminar SDK auto-patches vast majority of AI frameworks and SDKs, including **Claude Agent SDK, AI SDK, LiteLLM, Browser Use, Stagehand, OpenHands SDK**, and much [more](https://docs.laminar.sh/tracing/integrations/openai). We are the only platform that traces **Claude Agent SDK sub-agents**. When Claude delegates work to sub-agents, you get full visibility into that entire chain, not just the top-level call. Here’s an example of a trace .\n\n## The debugger\n\nThis is the feature we wished existed when we were building agents ourselves. When your agent fails 15 minutes into a run, the normal workflow is: restart from scratch, wait for it to reach the same state, hope it reproduces the failure. That's insane.\n\nLaminar starts a local dev server that connects to our platform. You can run your agent directly from our UI, and when a run fails, you go to the exact step where it went wrong. You tweak your prompt or tool definitions right in the UI. And you rerun from that step — with full context preserved.\n\nHere's how it works under the hood: our tracing SDK sits right before the LLM call boundary. When you rerun from a step, we mock all the LLM calls that happened before that point, replaying their original responses. This means the agent walks through its prior steps instantly without actually calling any LLMs and spending any tokens — and crucially, it properly restores external state along the way. If your agent was controlling a browser, the browser gets back to the exact page and DOM state. If it was working in a sandbox, the sandbox is restored. By the time execution reaches your breakpoint, everything — conversation history, tool state, external environment — is exactly as it was. You tweak your prompt, hit rerun, and the agent picks up from there with the real world intact.\n\nHere’s a demo of Laminar debugger.\n\n\n\n## Signals\n\n\n\nIn development, you care about individual runs. In production, you have thousands of runs and the question changes — it's no longer \"why did this run fail,\" it's \"what's going wrong across all my runs and how often.\"\n\nThat's what Signals solve. You write a short natural language description of what you want to detect — something like \"agent gets stuck in a retry loop\" or \"user gets frustrated and rephrases their request.\" Laminar runs this against every trace, extracts matching events, and then clusters them into patterns. So instead of manually sampling traces hoping to spot trends, you get a structured view of what's actually happening. We use this ourselves to monitor our own agents, and it catches things we'd never find by skimming through traces.\n\n## SQL editor, evals, and more\n\nAll of your data lives is accessible with built-in SQL editor (both in UI and API). You can run arbitrary queries against your traces, spans, and events — build custom dashboards, do ad-hoc analysis, or bulk-create datasets from production traces. Those datasets plug directly into our evals pipeline, so you can run evaluations on real production data instead of synthetic test cases.\n\n## Laminar\n\nLeading agent companies like Browser Use, OpenHands, Rye.com, Alai and many more use Laminar in production. Laminar is fully open source and extremely fast (written in Rust). Self-host it anywhere or use our managed platform ().\n\n**Our ask:**\n\n* If you're shipping agents and debugging is painful, we'd love to help — [founders@lmnr.ai](mailto:founders@lmnr.ai)\n* Intros to teams running long running agents would be huge\n* Star us on GitHub: \n\n🔗 ",
"url": "https://www.ycombinator.com/launches/PeQ-laminar-understand-why-your-agent-failed-iterate-fast-to-fix-it",
"votes": 6,
"created_at": "2026-03-09T00:35:53.684Z"
},
{
"id": 89930,
"title": "Laminar: The Missing Developer Tool for Browser Agents",
"tagline": "Laminar captures browser session recordings and syncs them with agent traces.",
"body": "Robert and Din from Laminar here. We created a new type of observability, which enabled us to build the SOTA open-source browser agent.\n\n# The Problem\n\nBrowser agents are powerful but notoriously difficult to develop and debug. When your agent fails, traditional traces just show a wall of text logs without context. You can't see what the agent was looking at when it made decisions, why it chose certain actions, or what exactly went wrong. It's like trying to debug a self-driving car without any camera footage – practically impossible.\n\nThis lack of proper observability tools has been the biggest barrier to building reliable browser agents.\n\n# The Solution\n\n\n\nLaminar created the missing piece in browser agent development: complete visual context for every agent action and decision. Our platform records high-quality browser sessions and perfectly synchronizes them with agent traces. Now developers can:\n\n1. **See what the agent sees** - Watch the complete visual journey of your agent as it navigates websites\n2. **Pinpoint exact failure points** - Identify precisely where and why agents make mistakes\n3. **Debug with context** - Understand agent decisions with full visual and trace context\n\n# Results\n\nUsing our own tools, we built Index - open-source browser agent that achieves 92% on WebVoyager benchmark, setting a new state of the art. Index can handle everything from research tasks to complex automations in apps like Google Sheets. In other words, we created a reliable **API layer to any website** that you can simply prompt with natural language.\n\n# Integrations\n\nLaminar seamlessly integrates with AI browser frameworks like **Stagehand** and **Browser Use** - integration takes just 2 lines of code.\n\n# Ask\n\n* **Build better agents:** Try Laminar today for your browser and AI agent development => \n* **Explore our open source agent:** Check out Index at [github.com/lmnr-ai/index](https://github.com/lmnr-ai/index)\n* **Dive into docs:** Comprehensive guides at \n\nWe're looking for early adopters and feedback! Reach out to us at [founders@lmnr.ai](mailto:founders@laminar.ai) and join our [discord](https://discord.com/invite/nNFUUDAKub).",
"url": "https://www.ycombinator.com/launches/NOU-laminar-the-missing-developer-tool-for-browser-agents",
"votes": 11,
"created_at": "2025-04-28T22:25:16.716Z"
},
{
"id": 83572,
"title": "Laminar - Open-source observability and analytics for complex LLM apps",
"tagline": "Observability and analytics which helps you track LLM apps in production.",
"body": "**tldr: Laminar is an open-source developer platform that provides full instrumentation of LLM applications and combines trace data with event-based analytics.**\n\n**—**\n\nHey everyone, we’re Robert, Din, and Temirlan. Previously, we built infrastructure at Palantir, Amazon, and Bloomberg — now, we’re building an open-source platform to help developers understand how their LLM apps perform in production.\n\n\n\n# Why do LLM apps need observability from day 0?\n\n\n\nLLMs are stochastic, and designing robust software around them (e.g., RAG, Agents) is an iterative process. A great observability platform not only facilitates this process, but actually makes it more productive. Hence, many AI developers adopt observability tools early on.\n\nLaminar goes beyond single LLM call tracing and provides tools for entire app instrumentation and powerful UI for full trace visualization, trace search, and session grouping.\n\n## What is different about analytics for LLM apps?\n\n\n\nLLM apps produce traces, which are essentially very rich text. Traditional event-based analytics tools are not built for extracting metrics from this kind of data.\n\nCurrently, AI devs spend a good chunk of their time manually inspecting traces to understand usage patterns of their LLM apps. As they scale, manual inspection is not feasible anymore.\n\nLaminar tackles this problem by using other LLMs to process rich text outputs in the background. With Laminar, developers can define custom events, such as “USER SENTIMENT,” to collect user sentiments and track this metric at scale as they deploy their LLM apps into production.\n\nEach event is linked to the trace that produced it, and developers can understand when and why certain semantic events have happened. It gives developers deeper understanding of the performance and usage of their LLM apps.\n\n## Our ask\n\n* Star our repo → \n* Start tracing and tracking events with a managed version of our open-source platform here → \n* [Join our Discord](https://discord.com/invite/nNFUUDAKub)\n* Connect us with anyone who builds software around LLMs and would greatly benefit from a tool like this!",
"url": "https://www.ycombinator.com/launches/Ljw-laminar-open-source-observability-and-analytics-for-complex-llm-apps",
"votes": 17,
"created_at": "2024-08-29T15:16:33.971Z"
},
{
"id": 82294,
"title": "Laminar - Developer platform to ship reliable LLM agents 10x faster",
"tagline": "Combining orchestration, evals, data, and observability into a single platform.",
"body": "# tl;dr: Laminar is a developer platform that combines orchestration, evaluations, data, and observability to empower AI developers to ship reliable LLM applications 10x faster. Get started for free → [lmnr.ai.](https://www.lmnr.ai)\n\nHey everyone, we’re Robert, Din and Temirlan. Previously, we built infrastructure at Palantir, Amazon, and Bloomberg— now our goal is to help AI developers ship reliable LLM applications faster.\n\n\n\n# ❌ The Problem\n\nLLMs are stochastic, and designing robust software around them (e.g. LLM agents) demands rapid iteration on core logic and prompts, constant monitoring and a structured way of testing new changes. Existing solutions are vertical and the burden of maintaining “glue” between them is still on the developers, which inevitably slows them down.\n\n# ✅ Our Solution\n\nLaminar is a dev platform that combines orchestration, evaluations, data, and observability to help AI devs to ship reliable LLM applications 10x faster. We provide:\n\n* a GUI to build LLM applications as dynamic graphs with seamless local code interfacing.\n* an [open-source package](https://github.com/lmnr-ai/lmnr-python) to generate abstraction-free code from these graphs directly into developers' codebases.\n* a state-of-the art evaluation platform that lets devs build fast and custom evaluators without managing evaluation infrastructure themselves.\n* a data infrastructure with built-in support for vector search over datasets and files. Data can be easily ingested into LLMs and LLMs can write to the datasets, creating a self-improving data flywheel.\n* a low latency logging and observability infrastructure.\n\n# Orchestration\n\nAs devs, we love to code everything ourselves, but we’ve realized the fastest way of iterating on LLM application logic is via graph UI. So, we’ve built the ultimate LLM “IDE”, where you build your LLM applications as dynamic graphs. You can build cyclical flows, route to different tools, and collaborate with your teammates in real-time!\n\n\n\nGraphs can seamlessly interface with local code. “Function node” can call local functions on your server, right from our UI or our SDK. It’s a huge game changer for testing of LLM agents which call different tools and then circle the response back to LLMs. In the gif below, local function “save_result_to_db“, which runs on a server on my computer, is directly called from our UI.\n\n\n\nUsing our [open-source package](https://github.com/lmnr-ai/lmnr-python), you can generate zero-abstraction code from graph definition, which exactly replicates the graph functionality. Code is generated as pure functions right inside your repo, and you have total freedom to modify it however you want. It is extremely valuable for the devs who are tired of frameworks with myriads of layers of abstraction.\n\n\n\nYou can also deploy LLM pipelines as API endpoints on our infrastructure and easily call them via our Python/TS sdks.\n\n\n\n# Evaluations\n\n\n\nLaminar pipeline builder can be used to build custom and flexible evaluation pipelines that seamlessly interface with local code. You can start from something simple like exact matching and then build a custom LLM-as-a-judge pipeline tailored to your specific use case. You can upload large datasets and run evaluations on thousands of data points at the same time, and get all statistics about the run in real time. All of this without the pain of managing evaluation infrastructure yourself.\n\n# Observability\n\n\n\nWhether you decide to host LLM pipelines on our platform or generate code from graphs, all pipeline runs are logged and you can easily inspect the traces in the convenient UI.\n\n# Conclusion\n\nLaminar aims to deliver the best developer experience for AI developers. We remove unnecessary friction and burden of managing infrastructure. We let you focus on building the best AI products and ship them 10x faster!\n\n# Our ask\n\n* Start building reliable LLM agents right now for free → \n* Check out [open-source code gen package](https://github.com/lmnr-ai/lmnr-python)\n* Connect us with anyone who builds software around LLMs and would greatly benefit from a tool like this!\n* [Join our Discord](https://discord.com/invite/nNFUUDAKub)",
"url": "https://www.ycombinator.com/launches/LPK-laminar-developer-platform-to-ship-reliable-llm-agents-10x-faster",
"votes": 97,
"created_at": "2024-07-20T04:14:28.826Z"
}
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},
{
"id": 29783,
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"title": "Simple AI - AI phone assistant for consumers",
"tagline": "Simple makes phone calls so you don't have to",
"body": "**We’re thrilled to announce that starting today, Simple AI Phone Assistant is available on the** [**App Store**](https://www.usesimple.ai/join?inviteCode=launchyc).\\\n\\\nSimple AI can make AI powered phone calls on your behalf. Simple can wait on hold and navigate phone trees. Simple can make phone calls in 33 countries using 15 different languages, or even call 10 different stores at the same time.\n\n\n\nWe tested a beta version of the app extensively with our initial set of 1000 users. We wanted to make sure Simple could successfully perform a variety of tasks, including: making restaurant reservations; finding and booking doctors, dentist, and vision appointments; asking grocery stores, hardware stores, and other retail stores for availability or stock; calling customer support to ask for help with accounts, billing, and more.\\\n\\\nWe started Simple AI with the simple vision to bring the power of AI to regular people. We went through YC’s Summer 24 batch. During YC, we saw many startups working on ideas that leverage the new AI and LLM technology to upend various industries. But no one was working on AI for consumers.\n\nIt turns out people really hate making phone calls, and our AI is pretty good at it.\n\nIn fact, it’s _better_ than a human at certain tasks. Zach and Cat both needed a new eye doctor and independently set out to find one that would 1) take our new insurance, and 2) had availability soon. Zach did some research on the internet and got an appointment 3 weeks out. Cat had Simple call 15 optometrists near Potrero Hill and got hers in 6 days.\n\nWe give people access to an AI assistant at their fingertips. Read more about our launch on [our blog](https://usesimple.ai/blog/launch) or try it out today at [https://usesimple.ai/join](https://usesimple.ai/join?inviteCode=launchyc).\n\n### **Team**\n\n[Zach](https://www.linkedin.com/in/zach-kamran/) and [Catheryn](https://www.linkedin.com/in/catherynli/) met at YC, where they spent 4 years building consumer products like Bookface, Startup School, and YC’s co-founder matching site.\n\n\n\n",
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"body": "[Simple AI](https://www.usesimple.ai/) is what Siri should be. We make it 10x easier for you to use your favorite consumer apps: Amazon, Uber, Doordash, Venmo, Maps, etc. We can also help you do research and book anything from restaurants and flights to that local minigolf place that doesn’t have a website.\n\nThe consumer products we use every day are often confusing, adversarial, and sometimes downright deceptive. It makes sense when you realize that Amazon and Google’s primary customers are merchants and advertisers, not you and me.\n\nOur goal is to help you cut through the noise and go from “having an intent” to “getting it done.”\n\n### **Our ask**\n\nIf you have an iPhone, try out our mobile app! Please reach out to [founders@usesimple.ai](mailto:founders@usesimple.ai) or join the [waitlist](https://www.usesimple.ai/) and we’ll onboard you soon.\n\n### **Team**\n\n[Zach](https://www.linkedin.com/in/zach-kamran/) and [Catheryn](https://www.linkedin.com/in/catherynli/) met at YC, where they spent 4 years building consumer products like Bookface, Startup School, and YC’s co-founder matching site.\n\n\n\n",
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"body": "Hey everyone, we're Marcos and Harrison, co-founders of Palmier (YC S24).\\\n\\\n**TL;DR**\\\nPalmier Pro is a video editor built for AI, where Claude and Codex can edit your timeline directly: trimming, reordering, and generating footage. We used it to make 15+ cinematic AI launch videos for YC companies and it's now open-source and free to download at [palmier.io](http://palmier.io).\\\n\\\n**The Problem**\\\nMaking AI videos today means bouncing between tools constantly.\\\nGeneration.\n\n* You generate a clip in Runway or Higgsfield, import it into Premiere, realize one section doesn't work, go back to the generation tool, regenerate, reimport. That loop repeats dozens of times per video.\n\nIteration.\n\n* Because generation and editing live in separate apps, your workspace is a mess and it becomes extremely hard to keep track of good takes, bad takes, reference images, and reference videos.\n\nRepetition.\n\n* You still spend hours sorting through footage, finding the right takes, and manually adding keyframes, effects, and captions. It eats into your productivity and leaves you with less time for the actual creative work.\n\n\\\n**Our Solution**\\\nWe built a full-fledged professional video editor with two things in mind.\n\nWe made AI video a primitive, not an add-on. For each clip, we track the prompt, model, and references so you can iterate directly inside the timeline instead of bouncing between apps.\n\nWe made everything operable by AI. By using our built-in agent, or connecting to yours via MCP, AI agents can help:\n\n* Save hours of work by automating the grunt work in editing: finding key moments in long videos, captions, file organization, and more.\n* Create first draft edits from your footage. The tools let AI understand your videos and draft a first cut directly in the timeline.\n* Use AI generation models to create footage, b-roll, sound effects, voiceovers, and music and drop it directly into your project.\n\n\\\n\n\n\\\n**Asks**\n\nDownload Palmier Pro at [palmier.io](http://palmier.io) — it's free and open source.\n\nFollow us on [X](https://x.com/) and [LinkedIn](https://linkedin.com/).\n\nIf you work a lot with AI video or are looking to explore it, we would love to chat. You can reach us at [founders@palmier.io](mailto:founders@palmier.io).\n\n\n\n",
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"title": "Palmier - AI that understands any codebase",
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"body": "\n\n**☕ tl;dr**: [Palmier](https://www.palmier.io/) is an **AI** tool that **understands any codebase**.\n\n* **Automates code reviews**, **bug detection**, and **code optimization** and implements them for you.\n* Context-aware **code explanations** **and** **natural language** code **search**.\n\nBy the time you finish reading this launch, you could’ve setup **Palmier** already! Reach out to [founders@palmier.io](mailto:founders@palmier.io) and/or sign up to the waitlist [here](https://docs.google.com/forms/d/e/1FAIpQLSdFMLX009lTuWnseUHcwFWLq04-BQP-sW9Ytl3I5UBz-iQC5w/viewform) to get started.\n\n# **🔒 Problem**\n\nDevelopers spend only about 30% of their time actually building new features, with the rest of their day taken up by tedious but necessary tasks like understanding code, fixing bugs, and reviewing other people's code. And this only gets worse as the codebases and teams get larger. Furthermore, context switches get more frequent, and general productivity starts to decline.\n\n# **🔑 Solution**\n\nPalmier tackles this by having an individually trained AI model for each unique codebase. This ensures the most accurate and precise understanding of the code.\n\nPalmier lives in your GitHub repository, and thoroughly checks every PR request:\n\n* Palmier automatically creates a concise yet precise description of the changes being made, trains on every past PR made, and opens issues for the most accurate context. No more guessing games trying to find why a change was implemented.\n\n \n\n* Palmier scans your changes and suggests improvements: this can be as simple as variable name changes to more complex changes, such as performance optimizations. With a couple of clicks, you can implement these suggestions and commit them without leaving GitHub.\n\n \n\n* Palmier will scan CI/CD issues and suggest fixes to failed tests that are related to the code changes (coming soon).\n\nWith Palmier chat, you can onboard any codebase 10x quicker. Whether it’s understanding what certain code does, how it interacts with other components, or where in your code a certain feature is implemented, Palmier gives you the most accurate answers and avoids hallucinating by always citing its sources.\n\n\n\n# \n\n# **🚀 The Team**\n\n\n\n[Marcos](https://www.linkedin.com/in/marcosrico) CEO (left), [Harrison](https://www.linkedin.com/in/harrison-tin-a260321b3/) CTO (right)\n\nThe Palmier team consists of Marcos and Harrison, both graduates of UC Berkeley with degrees in Electrical Engineering and Computer Science. With experience working at big tech like LinkedIn and Microsoft, we started Palmier to tackle the productivity problems we personally faced while working there: large code review cycles, many review iterations, and onboarding never-ending codebases. We are both extremely passionate about improving software developers’ lives and are on a mission to make every developer do what we love doing most - building! Feel free to reach out to any of us at any time! We'd love to chat.\n\n# **🙏 Asks**\n\n* Try out Palmier! You can [schedule a call](https://calendar.app.google/u5pUgv7nkqBLHMMw9) with the founders, reach out to us at [founders@palmier.io](mailto:founders@palmier.io) or sign up for the waitlist [here.](https://docs.google.com/forms/d/e/1FAIpQLSdFMLX009lTuWnseUHcwFWLq04-BQP-sW9Ytl3I5UBz-iQC5w/viewform) We’d love to talk to you and how we can make this customized for your use case!\n* If you know any engineers in large development teams who work with large codebases and push and review PRs often, please connect us with them!\n * Copy & paste blurb: A YC company named Palmier has developed an AI code expert that will automatically review your PRs. It’ll save tons of time for you. You can grab a time [here](https://calendar.app.google/u5pUgv7nkqBLHMMw9) for a demo from the founders.\n\nApproved open-source repositories can install for free! Just reach out to us [founders@palmier.io](mailto:founders@palmier.io)\n\n\n\n",
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"body": "# **TLDR: Lilac Voice is an AI team member that takes orders at your drive-thru.**\n\n# ❌ **Problem:** **The quick service restaurant (QSR) industry is desperate for solutions to reduce labor costs.**\n\nGrappling with rising wages, high staff turnover, and an unprecedented labor shortage, quick-service restaurants (QSRs) have increased prices to maintain profitability, but have ran into the limit of what consumers are willing to accept. Drive-thru’s makes up 70% of QSR revenue as a channel and is a significant opportunity for automation. In the U.S., there are 200,000 Drive-Thrus that handle 6 billion visits a year.\n\n# ✅ **Solution: We automate the person taking orders at the drive thru with a voice AI.**\n\nLilac Voice is a multi-lingual AI agent that takes orders from customer through the drive-thru speaker post and sends it directly into the kitchen. It’s perfectly trained, understands the menu, and can answer questions about ingredients and allergies.\n\nWith Lilac Voice, QSR’s with drive-thrus can: 1) save labor cost of up to 1 full-time employee, 2) boost revenue through consistent and relevant upsell, 3) improve the customer experience with faster speed of service and higher order accuracy, and 4) improve staff retention!\n\nAs an example: In CA, as of April 1st, the fast food minimum wage grew from $16 to $20. For a drive-thru operating 16 hours a day, 365 days a year, that’s $100,000+ in labor savings alone.\n\n# **🙋Our Ask: How you can help.**\n\n**Share this post!** We’re looking for more customers to onboard for this Summer! We’d love intros to franchisee operators, restaurant groups, or leadership at corporate chain.\n\n**Quick blurb to copy & paste:** Lilac Labs is offering free pilots for their voice AI drive-thru solution. The team consists of ex-Tesla engineers and Berkeley researchers. Learn more at [www.drive-thru.ai](http://www.drive-thru.ai). For a demo and free pilot, contact [tony@lilaclabs.ai](mailto:tony@lilaclabs.ai).\n\n\n\n\\- [Tony](https://linkedin.com/in/tonyshekkam) and [Shelden](https://linkedin.com/in/sheldenshi)",
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"body": "**TL;DR:** [Blast](https://blastsec.com/) provides a platform to help enterprises turn their generative AI prototypes into reliable apps that can be confidently deployed at scale.\n\n—\n\nHi everyone, we're Daniel and Arnav, and we're building Blast.\n\n**Problem: The mass adoption of LLMs across Fortune 500s is blocked by safety and reliability concerns.**\n\nEvery large enterprise is trying to deploy their LLM-based apps/agent POCs at scale.\n\nUnfortunately, prohibited content, hallucinations, and other failures leave enterprises open to brand damage and legal liability. For example, Air Canada was forced to honor an out-of-policy bereavement discount that its chatbot had offered to a grieving passenger.\n\nLegacy enterprises in particular lack the talent and the tooling to solve these issues.\n\n\n\n**Solution:**\n\nWe’re helping large enterprises build more reliable LLM apps.\n\n1. **Evaluation platform:** Our red teaming tools enable developers to probe their end-to-end system with multi-turn conversations aimed at uncovering content/policy violations.\n2. **Governance models:** We help enterprises detect, fix, and log failures in production.\n\nWe started two months ago, and we are piloting with a Fortune 50 company.\n\n**The Team:**\n\n👋 Hey, it’s [Daniel](https://www.linkedin.com/in/daniel-zamoshchin/) and [Arnav](https://www.linkedin.com/in/arnav-joshi-516516154/)!\n\n\n\nWe met ten years ago in middle school and have been close friends ever since. We went to high schools in different states but reconnected at Stanford, where we were freshman year roommates. Daniel previously worked on AI security research at Stanford. Arnav previously worked on autonomous driving research at NVIDIA and in macro at Bridgewater.\n\n**Our Asks:**\n\n* We’d love intros to anyone working in security or AI governance at large enterprises. Email us at [founders@blastsec.com](mailto:founders@blastsec.com)\n* If you’re interested in adversarially testing your AI apps/agents or evaluating your guardrails, we’d love to talk! Please email us above!",
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"title": "Paasa - Build wealth across borders",
"tagline": "Invest in US markets from emerging economies.",
"body": "[Paasa](https://paasa.com/) gives high-net-worth individuals (HNIs) in emerging markets the same globally diversified portfolios as HNIs in America.\n\n\n\n**What’s the problem?**\n\n‘Pre-HNIs’ and HNIs in countries like India want to diversify their wealth internationally. A few cross-border brokerage apps exist, but most customers hesitate due to:\n\n* Lack of guidance on foreign investments\n* Remittance regulations that change every year\n* Cross-border tax filing that their CFAs struggle with\n* Slow outflows from local banks\n\nThese barriers keep global investing out of reach, reserved for the top 0.001% who can afford wealth managers and family offices. We’re changing that.\n\nOur vision is to bring all the opportunities of the 0.001% to the pre-HNI without any hassle.\n\n**Team**\n\n[Sparsh](https://www.linkedin.com/in/sparsh-sharma-design/) and I ([Nitish](https://linkedin.com/in/nitishsahni)) grew up in India and have known each other for 5 years. Both personal finance nerds, we previously worked at SoFi, where Sparsh led design on Student Loan Refinance, and I led engineering projects on Data Governance.\n\n**Ask**\n\nIf you’re in India and want to invest globally, [reach out](https://paasa.co/form)! We’re [founders@paasa.co](mailto:founders@paasa.co)\n\n\n\n",
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"body": "### **Tl;dr**\n\n[Baseline’s](https://www.baselinetrials.com/) AI platform helps pharmaceutical companies eliminate months of manual work during clinical trials by automating the study build, data transformation, and analysis creation. This can save a single trial up to $18M in direct costs and lost revenue.\n\n### **⚠️ Problem**\n\nThe main document in a clinical trial is the study protocol. At large companies, floors of people use the protocol to create the study data collection forms, clinical database design, error checks, analysis code, and data transformation mappings. This makes the process both expensive and time-consuming, with **a single day lost** in a clinical trial **costing** [**50k-300k** (depending on phase)](https://baselineai.notion.site/Cost-of-1-Day-By-Stage-af2f3e4008444ed8a819d288d45fd31d?pvs=74). \n\n### **🚀 Solution**\n\nWe offer a three-part solution:\n\n* **Baseline Build**\n * Processes the study protocol to create the study data collection forms, clinical database design, and error checks\n* **Baseline Harmonize**\n * Transforms data from external sources into the desired format based on the database model\n* **Baseline Analyze**\n * Uses the study protocol and database model to create the analysis tables and figures\n\nImplementing our AI workflows can **save a single phase 3 clinical trial up to $18M** in direct costs and lost revenue.\n\n\n\n**📘 Backstory**\n\nWe’re [Nabil](https://linkedin.com/in/nabil-baugher-93822a18a) and [Zoe](https://linkedin.com/in/zoesheill) — two recent MIT grads who want to help bring new treatments to patients in need faster. We noticed that despite drug discovery being faster than ever, new treatments for things our friends and family needed seemed to rarely make it to market. Zoe also participated in a clinical trial herself and wanted to see the system improve. \n\n### **🙏 Ask**\n\nIf you or anyone you know are in pharma/biotech or running clinical trials, we’d love to chat! Please reach out to us at [founders@baselinetrials.com](mailto:founders@baselinetrials.com).",
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"body": "Hey everyone, we’re [Caleb](https://www.linkedin.com/in/caleb-m-harris/) and [Herbie](https://www.linkedin.com/in/herbert-turner-1b511b238/)!\n\nWe met almost six years ago while studying computer science at MIT, and have spent the last few months building [&AI](https://www.tryandai.com/) after discovering how much attorney time is spent on tedious and repetitive aspects of patent due diligence.\n\n### **tl;dr**\n\n&AI is a platform that streamlines patent due diligence. By using AI to understand the inventive aspects of patents and automate the creation of work products, we enable attorneys to instantly and comprehensively find prior art, produce robust claim language, invalidate weak patents, and more.\n\n### ❌ The Problem\n\nImagine a law firm is tasked with determining the strength of a patent or set of patent claims. This is an everyday problem for patent attorneys and could be for anything from a patent application to an IP litigation case. \n\nTo start, the attorneys need to conduct a prior art search. Typically, either:\n\n1. The attorneys meet with an outsourced search provider and give them their claims and features of interest. After a week or two, the provider returns with 5-10 reasonable documents, charging up to $10k.\n2. The attorneys manually use boolean keyword searches through databases like Google Patents and decades-old legal research platforms. Over the course of 10-20 billed hours, they have found 5-10 reasonable documents.\n\nIn either case, they have already contributed a massive amount of resources to this project without much validation that they are going in the right direction.\n\nWith their prior art in hand, the attorneys must evaluate the claims with respect to the art. This involves drafting work products like claim charts, which require several read-throughs of each document to identify and map the relevant language over the course of 20-40 billed hours. By now, the attorneys should have a good idea of the strength of the claims, whether they need to be revised, and whether they may be invalid.\n\n**What if they haven’t found the invalidating art?** They repeat the process. Over and over again, for every patent, for every case. Due diligence can continue almost indefinitely, and it’s only limited by attorney time and client budgets.\n\n### ✅ The Solution\n\nNow, imagine the law firm is using &AI. **Upon receiving the patent or claims, they find the invalidating prior art and export comprehensive claim charts in seconds!** &AI enables both attorneys and inventors to conduct their patent due diligence at a speed, scale, and quality that has never before been possible.\n\nIn minutes, we can analyze and compare the inventive aspects of thousands of patents, allowing attorneys to spend less time on tedious work and more time developing their arguments. \n\nWe’ve built our platform to be broadly applicable and easy to use. Users can leverage our AI for patent applications, responses to office actions, and invalidity, with use cases of freedom to operate, infringement, and portfolio analysis coming soon.\n\n\n\n### 🤲 The Ask\n\nWe’re actively looking to onboard more tech-forward law firms and company in-houses working with patents. We’d also love to hear directly from individual patent applicants and owners about how our tools might serve them. If you’re interested, please connect with us at [founders@tryandai.com](mailto:founders@tryandai.com) and we’d love to talk about working together!",
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"body": "\n\n.\n\n# **TLDR**\n\n[Helium](https://tryhelium.com/) lets mobile companies launch and personalize upsell flows without code. We previously made >$100M in conversion experiments at Uber and Meta and are building the tools we wish we had.\n\nWith Helium, growth teams can add new paywalls or experiments in minutes! Helium also helps drive conversion with SmartSelect, our AI that finds the best paywall experience for each user.\n\nIf you know anyone working on consumer apps, [give us a shout](https://mailto:zach@tryhelium.com?subject=Connecting%20you%20to%20Zach%20at%20Helium%20(YC%20S24))! If we can’t help them earn 5x our price in new revenue, we’ll give their money back.\n\n.\n\n# **👋 We’re Helium!**\n\nWe’re building tools to experiment on in-app paywalls without code.\n\n* [Zach](https://linkedin.com/in/zachwitzel) (CEO) worked on in-app upsell at Uber. He ran dozens of conversion experiments that made >$100M.\n* [Anish](https://www.linkedin.com/in/anish-doshi-45a81271) (CPO) worked in ad optimization at Meta. He drove 10% in Instagram ad conversion through AI to personalize ads to users.\n* [Shishir](https://linkedin.com/in/shishirjakati) (CTO) worked on Alexa AI, using ML / LLMs to make Alexa smarter for millions of users.\n\n\n\nEarly on we realized how dumb it was that Zach spent years doing crude in-product personalization at Uber, while Anish built tools to automatically personalize tens of thousands of ad variants.\n\nWhile ads have come a long way, software upsell is stuck in the past — it’s too slow, too manual, and too one-size-fits-all.\n\n.\n\n# **👴📟📼 Mobile Paywalls are stuck in 2008**\n\nIn 2023, mobile in-app purchases crossed $150 billion, with $45B from subscriptions.\n\nMobile companies we talked to, from Headspace to Hinge, spend \\~1/3 of eng bandwidth on upsell, but optimizing in-app conversion is still highly manual. Teams spend months experimenting with paywall entry points, messaging, UX, targeting, premium features, and discounting.\n\nThe problem is that…\n\n* **⏰ Each change takes weeks**: Because paywalls live in native mobile code, making a change takes at least 6 weeks to code, test, launch to the app store, get it approved, and then get installs of the new version.\n* **🫨 Upsell becomes a maze**: There are typically dozens of entry points (onboarding, profile, feed, modals, etc) leading to different experiences. One prospect had 87 separate paywalls, so rolling out even small changes turns into weeks of manual work.\n* **🆘 Personalization is hard:** Personalization drives conversion (1 customer saw +40% conversion personalizing copy) but takes a ton of work. Most companies struggled with identifying key segments, designing custom experiences, implementing new logic in code, and dealing with many-variant experiments.\n\n.\n\n# **🎈 Introducing, Helium**\n\n\n\nHelium helps consumer app companies launch, manage, and improve paywalls without code.\n\nIt allows growth or product teams to run tests on their own (and stop bothering engineers) as they work on upsell conversion.\n\n* **🖥️ Visual editor**: Add new paywalls or multi-step flows all from the editor. All you need is one line of code to wire up your upsell flow with our SDK (React Native, Swift, & Android)\n* **🔬 Experimentation**: Add test copy, imagery, UI, or more, and run an experiment in 3 clicks. Results populate in your analytics tool\n* **👥 Personalization made simple**: Add as many variants as you want, and our AI algorithm (Smart Select) will find the right one for each user to drive conversion. Solve problems like…\n * What CTA works best in each language?\n * What feature do we emphasize for each customer segment?\n * Which paywall do we show on onboarding vs app open?\n\n.\n\n# **😍 Ask: Intros to consumer mobile folks 😍**\n\nIf you know anyone who leads growth or monetization at a consumer mobile company, we’d love to talk to them to see if we can help!\n\nWe’re doing a design partner deal for the next few months…\n\n* White glove support for your implementation (or we can integrate Helium into your codebase directly for you)\n* We’ll run 3-5 experiments of your choice on your behalf\n* If we don’t make you 5x times our price in additional revenue, we’ll offer you a refund\n\n**If you know anyone who may be a fit, you can email us at** [**founders@tryhelium.com,**](mailto:founders@tryhelium.com) or just [**click here.**](https://mailto:zach@tryhelium.com?subject=Connecting%20you%20to%20Zach%20at%20Helium%20(YC%20S24))",
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"tagline": "We track emerging policies and create well-researched compliance and advocacy materials.",
"body": "**Tl;dr:** [Rescript](https://rescript.ai/) helps regulatory compliance and advocacy teams monitor, analyze, and act on the never-ending stream of regulatory and political developments.\n\n**Problem:** \n\nRegulatory lawyers and lobbyists guide companies through constantly changing legal and political environments and are paid tens of billions of dollars every year to do so.\n\nBut there’s too much to track manually: to identify any new risk or opportunity in the US alone, they have to monitor 150,000+ laws introduced, 300,000+ hours of government hearings, and thousands of new regulations and enforcement suits every year.\n\n\n\n**Solution:**\n\nRescript automates this process from end to end. We’ve built AI agents that scrape legislation and regulation as it changes, identify what’s relevant for you, and help you create well-researched compliance and advocacy materials.\n\n1. **Exhaustive Tracking:** Rescript’s AI Agents scan the web and create detailed analyses of everything you need, including hearings, regulations, news, and press releases. \n2. **Intelligent Filtering:** Our tool uses human-like reasoning to determine if a new development involves the user’s policy issues. No more dealing with keywords. \n3. **Personalized Analysis:** Collaborate with AI to translate regulatory updates into actionable insights for internal business and compliance teams.\n\n**The Team:** \n\n[Nikhil](https://www.linkedin.com/in/nikhil-ajjarapu/) previously worked as a consultant for the DoD and built software for major federal agencies with Salesforce’s Public Sector team. He graduated magna cum laude from Princeton, where he studied Computer Science and earned minors in History & Public Policy.\n\n[Alex](https://www.linkedin.com/in/alex-pesendorfer/) previously worked in software engineering at a leading derivatives marketplace. He graduated summa cum laude from Princeton with a BSE in Computer Science and minors in Statistics, Machine Learning, and Finance.\n\n[Vince](https://www.linkedin.com/in/vincentjh/) holds an MS in Computer Science and a BA in Philosophy from Stanford and previously staffed the House Science Committee in Congress.\n\n**Working with us**\n\nRescript is already used by top-10-ranked government relations firms and AmLaw 200 law firms.\n\nIf you’re interested in learning more, please [schedule a time with us here for a 15-minute demo](https://calendar.google.com/calendar/u/0/appointments/schedules/AcZssZ2QGC5HMWdnOcDcz1cPXamWS8qKzQWFktlQLupOBtY50W-JOfXsHabKGx6u7Nod59taBnm7-dYe), or message us at [team@rescript.ai](mailto:team@rescript.ai).\n\n\n\n",
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"body": "**tl;dr: **[**Thyme**](https://www.meetthyme.com/)** enables financial advisors to run 10x better meetings. We cover meeting prep, transcription, summarization, CRM syncing, and document parsing. Please introduce us to any financial advisor in your network!**\n\n# 🧑🤝🧑 About us\n\nWe are Fernando San Martin (left), and Daniel Lantz (right). We've worked together at Capital One, trovata.io, Campfire (YC S23) and are now Thyme co-founders. Our mission is to build better software tools for financial advisors.\n\n\n\n# **❗ The Problem**\n\nFinancial advisors spend hours every day preparing, running, and following up on client meetings. Their attention is split between engaging with the client and taking meaningful notes, and often, these notes are incomplete or non-existent.\n\n\n\nAfter finishing the meeting, the advisor has to expand on the few scattered words that they jotted down to create follow-up tasks and update their CRM with the new client insights.\n\n# ✅ **Our Solution**\n\nThyme solves all of the above. Using our app, the advisor can see their upcoming meetings, for which they can prepare by viewing a holistic profile about the client and even asking natural language questions.\n\nOnce in the meeting, our app uses state-of-the-art AI technology to transcribe, summarize, generate action items, and draft follow-up emails.\n\n\n\nFinally, our powerful integrations with the rest of the advisors’ tech stack also allow us to initiate workflows and send tasks and notes to other systems. Any financial documents submitted by the client are parsed and integrated into their profile.\n\nOur users describe the solution as a game-changer that saves them hours each week while creating much richer and more accurate notes and tasks that sync seamlessly with their stack.\n\n# 🙏 **Request**\n\n* If you like what we are building, upvote, comment, and follow us on [Linkedin.](https://www.linkedin.com/company/thyme-yc-s24/)\n* If you know of any financial advisors in your network, ask them if they would be interested in chatting. Here is a potential blurb you can use to introduce us: \"[Thyme](https://www.meetthyme.com) is changing how financial advisors run online meetings. Would you like to hear more directly from the team?\"\n* Like and re-share our upcoming public launch with your network later this week.\n* Reach out to us at [founders@meetthyme.com](mailto:founders@meetthyme.com) if you have ideas or suggestions or would like to simply meet.",
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"title": "Dataleap - Claude Code for Business Users",
"tagline": "Building the world's first vibe working platform",
"body": "\n\nToday we're launching Dataleap, the first 𝘃𝗶𝗯𝗲 𝘄𝗼𝗿𝗸𝗶𝗻𝗴 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 that gets stuff done for knowledge workers.\n\n𝗧𝗵𝗶𝗻𝗸 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲 𝗳𝗼𝗿 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝘂𝘀𝗲𝗿𝘀.\n\nCoders are already living in the future with Claude Code and Cursor. For the rest of us? Barely anything has changed.\n\nUntil now.\n\n𝗗𝗮𝘁𝗮𝗹𝗲𝗮𝗽 𝗰𝗼𝗺𝗯𝗶𝗻𝗲𝘀 𝘁𝗵𝗲 𝗯𝗲𝘀𝘁 𝗼𝗳 𝗖𝗵𝗮𝘁𝗚𝗣𝗧, 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲, 𝗮𝗻𝗱 𝗻𝟴𝗻 𝗶𝗻 𝗼𝗻𝗲 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺.\n\nWork synchronously with AI on one-off tasks - then with one word, turn it into a background agent that executes work for you while you sleep.\n\nWe are not a workflow builder, no visual canvas, no moving around nodes. We architected Dataleap to be truly agentic from the ground up. It feels like a coworker.\n\n𝗠𝗲𝗲𝘁𝗶𝗻𝗴 𝗯𝗿𝗶𝗲𝗳𝗲𝗿 - Check past emails, Slack connect messages, and Hubspot notes to get up to date before a meeting.\n\n𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲 𝗮𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 - CC your ea@ email address hooked up to Dataleap to schedule meetings for you\n\n𝗔𝗜 𝗦𝗗𝗥 - Research 50 Head of Controlling at your ICP companies, get their phone numbers, and create a task for each with a call brief in Hubspot\n\n𝗕𝘂𝗴 𝗥𝗲𝗽𝗼𝗿𝘁𝗲𝗿 - Check all Slack Connect channels for bugs and file them in Linear and remind the team to fix them\n\n𝗟𝗶𝗻𝗸𝗲𝗱𝗶𝗻 𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗼𝗿 - Send connection request to all external meeting participants at the end of the day.\n\nGet shit done!\n\nCoding agents opened a glimpse into the future of AI. Dataleap is the tool for the 99% to discover this future.\\\n\\\n[https://youtu.be/4HLFd3ER0XE?si=NhCigjzVgoVr5Ck5](https://youtu.be/4HLFd3ER0XE?si=NhCigjzVgoVr5Ck5)\n\\\n\\\n**About us:**\n\n[Jan-Hendrik Rüttinger](https://www.linkedin.com/in/janruettinger/) and I ([Jan-Hendrik Damm](https://www.linkedin.com/in/jandamm/)) met during our studies at CDTM in Munich 5 years ago and shared an apartment ever since. We instantly knew that we would start a company together one day, not just because we had the exact same uncommon name, but because we just clicked. I went on to work in consulting at McKinsey and as an APM at Google in the search team. He decided to pursue machine learning research at Oxford. Last year, we decided it was time to make the leap, moved to the US, and started Dataleap.\n\n\n\n# ",
"url": "https://www.ycombinator.com/launches/PFO-dataleap-claude-code-for-business-users",
"votes": 7,
"created_at": "2026-01-22T23:55:28.924Z"
},
{
"id": 83457,
"title": "Dataleap - Perplexity for Consultants",
"tagline": "Instead of relying on the general web, Dataleap searches through a curated database of market data from public and commercial data providers.",
"body": "**_TL;DR -_** [_Dataleap_](https://www.ycombinator.com/companies/dataleap) is a GenAI-powered market research platform for management consulting firms and corporate strategy departments.\\\n**Think Perplexity for Consultants.**\n\n_Our secret sauce is combining the natural language interface from Perplexity with trusted, verifiable market data from best-in-class market research firms and the company’s internal resources. We already work with two of the three tier 1 consultancies (MBB) and industry giants like Uniper and Siemens Energy._ \\\n[_Try it out here!_](https://dataleap.ai/)\n\n\n\n# **Problem:**\n\n* AI search tools like **Perplexity or ChatGPT are not cutting it for professionals analyzing markets**. The answers are either hallucinated or using low-quality sources.\n* Consultants & corporate strategy departments need to work with **paywalled data** curated from expert market research firms like WoodMackenzie, Rystad, or S&P Global.\n* They do not want to interact with 15 different platforms or badly implemented AI chats but with one platform that is close to them and aggregates everything.\n\n# **Solution:**\n\n1. Dataleap provides a **powerful AI Copilot** that aggregates and searches through all the relevant market data that strategy teams need to look at.\n\n \n\n2. We always **highlight the exact sentence** in the original data where the information is coming from so that you can trust it and make real business decisions based on it.\n\n \n\n3. You can also **upload your proprietary information** to have the full picture of all your available information within Dataleap.\n\n \n\n4. You can not just search through the documents but also conduct meta-studies of reports or extract your own datasets from documents with our **document matrix**\n\n \n\n\n# **About us:**\n\n[Jan-Hendrik Rüttinger](https://www.linkedin.com/in/janruettinger/) and I ([Jan-Hendrik Damm](https://www.linkedin.com/in/jandamm/)) met during our studies at CDTM in Munich 5 years ago and shared an apartment ever since. We instantly knew that we would start a company together one day, not just because we had the exact same uncommon name but because we just clicked. I went on to work in consulting at McKinsey and as an APM at Google in the search team. He decided to pursue machine learning research at Oxford. Last year, we decided it was time to make the leap, moved to the US, and started Dataleap.\n\n\n\n# **Ask:**\n\n**Please introduce us to strategy and market intel teams at big energy companies** (energy is the first industry we started with), e.g., Dominion Energy, RWE, BP, Shell, GE Vernova. → Email address: [**jan.damm@dataleap.ai**](mailto:jan.damm@dataleap.ai)",
"url": "https://www.ycombinator.com/launches/Li5-dataleap-perplexity-for-consultants",
"votes": 112,
"created_at": "2024-08-27T14:40:30.962Z"
}
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"full_name": "Adi Oltean",
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"founder_bio": "I have a software and hardware background. As part of SpaceX and Microsoft I delivered key features in satellite networks, operating systems, cloud and machine learning infra. \n\nMy focus areas at Starcloud include software, hardware and engineering design aspects of our satellite constellation. ",
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"title": "Electrical Engineer",
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"title": "Starcloud raises $170M for space-based data centers, hits $1.1B valuation",
"url": "https://www.geekwire.com/2026/orbital-ai-seattle-area-startup-starcloud-hits-1-1b-valuation-to-build-space-based-data-centers/",
"date": "Mar 30, 2026"
},
{
"title": "Could data centres ever be built in orbit? Starcloud thinks so",
"url": "https://www.economist.com/science-and-technology/2025/04/09/could-data-centres-ever-be-built-in-orbit",
"date": "Apr 16, 2025"
},
{
"title": "Could data centres ever be built in orbit?",
"url": "https://www.economist.com/science-and-technology/2025/04/09/could-data-centres-ever-be-built-in-orbit",
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},
{
"title": "Newly renamed Starcloud raises $10M for space data centers",
"url": "https://www.geekwire.com/2025/lumen-orbit-starcloud-10m-space-data-centers/",
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{
"title": "The answer to tech’s clean energy problem? Put data centres in space",
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{
"id": 83713,
"title": "Starcloud🚀 Data Centers in Space",
"tagline": "Starcloud is building data centers in space to make use of 24/7 solar energy and passive cooling. ",
"body": "\n\n# **TL;DR** - We should train future large AI models in space to make use of abundant solar energy, cooling, and the ability to freely scale up.\n\nHey all, we're building data centers in space. We’re launching our first satellite next year, which will have the most powerful GPUs ever put in space by >100x. We will launch a larger iteration each year until we reach gigawatt scale.\n\n## **❌The Problem**\n\nFuture hyperscale data centers will put a huge strain on electricity grids, freshwater distribution, and the Western world’s permitting systems. It will simply not be possible to deploy multi-gigawatt scale data centers rapidly in the way we build data centers today.\n\n## **✨Our Solution**\n\nWe take advantage of falling launch costs to make use of inexpensive solar energy in space and low-cost passive radiative cooling, rapidly scaling up orbital data centers almost indefinitely without the physical or permitting constraints faced on Earth. This will ensure we can continue training ever larger models without destroying the environment.\n\n## **⚙️ Read our white paper**\n\nCheck out our [**white paper**](https://lumenorbit.com/wp) for more information on why space data centers are the future and how we’re going about making this happen.\n\nSee a short video on the design [here](https://www.youtube.com/watch?v=DIaKDUzFMpk).\n\n## **🏆 What we’ve achieved so far**\n\n* Booked our first launch (May 2025) and our second launch (H2 2026)\n* Set up our payload manufacturing facility in Redmond, WA\n* Designed and started building and testing our first spacecraft, with the fastest GPUs to ever launch to space by \\~100x\n* Created concept designs for our micro data center (2026 launch) and our Hypercluster data center (launching when Starship-class launch vehicles enter commercial service)\n* Secured high-value LOIs for H100 compute time in space\n\n## **🔜 What’s next**\n\n* Launch and complete our demonstrator mission, which will train the first LLM in space!\n* Prototype our micro-data center design\n* Secure contracts which incumbent hyper scalers\n\n## **👥 Our Team**\n\n\n\n[**Philip**](https://www.linkedin.com/in/johnstonphilip/), CEO, is a second-time founder who has worked at McKinsey & Co. working on satellite projects for national space agencies. Philip has an MPA in National Security & Technology from Harvard University, an MBA from Wharton, an MA in Applied Mathematics & Theoretical Physics from Columbia University, and is a CFA Charter holder.\n\n[**Ezra**](https://www.linkedin.com/in/ezrafeilden/), CTO, has a decade of experience with satellite design, specializing in deployable solar arrays and large deployable structures. Ezra comes from Airbus Defense & Space (SSTL) and Oxford Space Systems, where he worked on missions including NASA's Lunar Pathfinder. Ezra has a PhD in Materials Engineering from Imperial College London.\n\n[**Adi**](https://www.linkedin.com/in/adioltean/), Chief Engineer, was previously a Principal Software Engineer at SpaceX, where he was part of the Starlink network team enabling Starlink for in-motion users, including Starship. Before that, he deployed the first LLMs on large GPU production clusters at Microsoft, where he also delivered more than 25 patents in more than two decades. Adi holds degrees in Computer Science and Chemistry from the top two universities in Bucharest.\n\n## **🙏 Asks**\n\nJoin our team! If you are or know any hardcore engineers with experience in aerospace or data center infrastructure and are interested in working with the Starcloud team, please get in touch!\n\n[**https://www.starcloud.com/careers**](https://www.lumenorbit.com/careers)\n\nWe are also interested in talking to operators and customers of hyperscale training clusters who are contemplating the scale-up from megawatts to gigawatts.",
"url": "https://www.ycombinator.com/launches/LmD-starcloud-data-centers-in-space",
"votes": 44,
"created_at": "2024-09-03T19:42:08.218Z"
}
]
},
{
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"title": "Actionbase: An SDK for automating popular sites",
"tagline": "Automate LinkedIn, Amazon, Uber, and Resy in a few lines of code",
"body": "Hey everyone! We are [Sam](https://linkedin.com/in/samcrombie) and [Adam](https://www.linkedin.com/in/adam-mcquilkin/) building Actionbase. Actionbase builds tools that make the web agent-interpretable. Today, we are launching our first product, the [Web Action SDK](https://actionbase.co/).\n\n# **TL;DR**\n\nThe [Web Action SDK](https://actionbase.co/) is a TypeScript / JavaScript SDK that lets developers run automations on popular websites with only a few lines of code.\n\n# **What’s the problem?**\n\nWeb automations, particularly for high-traffic websites, **suck to build and maintain**. Yet engineering teams find themselves having to build them from scratch, over and over.\n\nSpinning your own automations is an easy path to unnecessarily complex codebases and enormous tech debt. Automations break down, hit edge cases, and become exponentially unruly.\n\nBut this is business-critical functionality, so what else can you do?\n\n# **Solution: Web Action SDK**\n\nWe’ve built an SDK that allows you to run automations on popular sites with only a few lines of code. Simply add your API key, define an action, and run it.\n\nHere’s how you can use our SDK to send a LinkedIn message.\n\n\n\nInitialize, send, and that’s it!\n\nNow that you’ve made your plans, you can use other services supported by the SDK to prepare for dinner: buy a notebook to take notes (Amazon), make a restaurant reservation (Resy), and get a ride to the restaurant (Uber).\n\n\n\nIn less than 10 lines of code, you’ve planned a pretty cool night out.\n\n# **Value Proposition: Simplicity**\n\nWeb Action SDK does all the heavy-lifting for you: authentication, anti-botting, task creation and execution, self-healing, and hosting. Our goal is to enable engineering teams to focus on **what to do with web actions**, not how to make them work.\n\n# **Asks**\n\n**\\#1:** If you currently have code that programmatically interacts with: LinkedIn, Facebook, Resy, Uber, DoorDash, Amazon, United, or any popular, high traffic sites, we’d love for you to sign-up and [try the SDK for yourself](https://actionbase.co). If you want to discuss bringing Actionbase to your company/use case, book time [here](https://actionbase.co/book-demo).\n\n**\\#2:** If you know someone who scrapes or automates sites, please forward them this URL or our [email blurb.](mailto:your_recipients_email_here@email.com?subject=Does%20this%20look%20useful%3F%20A%20web%20automation%20SDK&body=Hey%2C%20a%20YC%20company%20called%20Actionbase%20just%20launched%20their%20Web%20Action%20SDK%20(https%3A%2F%2Fwww.ycombinator.com%2Flaunches%2FLdg-actionbase-an-sdk-for-automating-popular-sites)%2C%20which%20lets%20you%20to%20automate%20popular%20websites%20like%20LinkedIn%20in%20a%20few%20lines%20of%20code.%0A%0AIs%20this%20something%20you%27d%20find%20useful%3F)\n\n# **Our Background**\n\nAdam and I met at Dartmouth where worked together on our senior thesis project. After graduation, we worked at Microsoft, building expertise in web automation and infrastructure on the Edge Copilot and PowerBI Copilot teams. We’ve joined forces once again to make the web agent-interpretable with Actionbase.\n\n\n\n\n\n",
"url": "https://www.ycombinator.com/launches/Ldg-actionbase-an-sdk-for-automating-popular-sites",
"votes": 29,
"created_at": "2024-08-19T19:59:37.739Z"
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"title": "🛡️ ZeroPath - Autonomous vulnerability patching",
"tagline": "Detect and fix your web application's exploitable security issues without config.",
"body": "📝 TL;DR: [ZeroPath](https://zeropath.com/) is a GitHub app that detects, verifies, and issues pull requests for security vulnerabilities in your code.\n\n\n\n### 💡 Why We Built This:\n\nAs security engineers and developers, we've seen firsthand how challenging it is for businesses to secure their products. Existing Static Application Security Testing (SAST) tools overwhelm teams with false positives and fail to remediate the real vulnerabilities they do find. We built ZeroPath to allow fast-moving teams to write secure code without having to configure or review a scan dashboard.\n\n\n\n### 🛠 How It Works:\n\n1. Executes regular vulnerability scans of your source code\n2. Integrates with GitHub to scan pull requests for vulnerabilities\n3. Uses advanced LLMs to significantly reduce false positives\n4. Generates patches for vulnerabilities identified\n5. Automatically issues pull requests to patch them\n\n### 💪 Why ZeroPath:\n\n* Integrates with your existing SAST - **removes** **85% of false positives**\n* Reduces vulnerability remediation time by up to **90%**\n* Enables natural language modification of patches, just tag @zeropath-ai in PRs (including your own!)\n* Supports complex, multi-file changes seamlessly\n* Prevents SAST vendor lock-in\n\n### 👥 Our Team:\n\n* [Nathan](https://linkedin.com/in/nathan-hrncirik): Ex-Tesla Red Team Engineer, $100k+ in bug bounties\n* [Raphael](https://linkedin.com/in/raphael-karger): Ex-Google Security Engineer, 12 security researcher hall of fames\n* [Dean](https://www.linkedin.com/in/dean-valentine-3b7583313/) & [Etienne](https://www.linkedin.com/in/etienne-lunetta-574065313/): Founders of Mevlink (acquired by Bloxroute in 2023)\n\n## 💰 YC Launch Deal: 50% off for 12 months\n\n* $20/month per contributing developer (reg. $40)\n* Use code LAUNCHYC at checkout, **valid until 8/15**\n\n### 🙏 How You Can Help:\n\nWe're eager for your insights on our product, feature ideas, and security needs - whether through trying our GitHub app, scheduling a meeting, or sharing feedback.\n\n* [Install our GitHub app](https://zeropath.com/)\n* [Schedule a meeting to discuss your application security needs](https://cal.com/zeropath/30min)\n* [Share your feedback](mailto:hello@zeropath.com)\n\n### 🚀 Get started in 30 seconds: \n\n📅 Want to learn more? Schedule a demo: \n\n\n\n",
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"title": "Argil - Generate videos with your AI clone in 2 minutes 🤳",
"tagline": "Video is about to become your strongest marketing & branding channel",
"body": "**tl;dr:** You’re probably a great dev but a terrible marketer, and you should use video because we’re making it cheap and easy thanks to our SOTA deepfake model and platform.\n\n[Check out my video message to you:](https://youtu.be/q8xAigH8HbE)\n\n### **The problem**\n\n**Video is expensive** to produce. It is used for branding rather than performance and is usually the last resort employed after everything is exhausted (ads, SEO, etc.). Yet, it is the **highest performing media** out there. It can engage leads and clients (branding, masterclasses), sell (UGC), and make internal documents more engaging (FAQ, trainings).\n\n### **The solution**\n\nBy building a **SOTA deepfake model** and a **platform to generate videos**, we’re making it insanely easy to create and grow your audience with video, regardless of your goals: \n\n* **Clone yourself** with 2 minutes of video, or use one of our avatars\n* Input a text or voice script \n* Generate a **fully edited, engaging video** complete with subtitles & media in a few clicks\n\nAll of it is also **available via our API** 👀\n\n\n\n**What’s magic?**\n\n* Make it engaging with body language control & camera angles\n* Preview your video before generating it\n* Get a ready-to-post video in 2 minutes (subtitles, media, etc.)\n\n### **Use cases**\n\n**Branding**\n\nSocial media is where you can do the most business. **Even if you’re shy**, you should leverage video on social media to share stories, knowledge, and engage. **If you record ONE good 2-minute video** of yourself, you’re **set for life.** \n\n\n\nWe just released a feature that will help you generate your **first LinkedIn video** and get ahead of the release of their “shorts” feature - try it out!\n\n**Education** \n\nOne of the most effective marketing strategies is to **educate your prospects** on how to solve their pain - you can use lead magnets (free training videos in exchange for their email or action on their part), or generate video documentation on your platform to convert/upsell.\n\n\n\n**Promotion (screencasts, UGC)**\n\nHaving influencers sell your product is a huge pain: you need to find them, brainstorm ideas with them, pay them, give them an affiliate plan, etc. How cool would it be to generate **100 ads for your product effortlessly**? That’s what we allow doing with our UGC avatars. \n\n\n\n**Entertainment**\n\nYouTuber Kwebblekop (15m subscribers) has created an automated pre-production pipe that then calls our API. He generates **1000 shorts/month** with the platform, and his channel is growing with an entirely automated workflow.\n\n### **The founders**\n\n\n\nWe met 10 years ago while working at French scale-up Teads. After our first failed startup together in 2016, I (Laodis) worked on several projects involving video: movies, masterclasses, TikTok (25k subscribers)… But during all of it, **the hardest part was production**. Working on AI projects last year, it became obvious that the single pain that was the most meaningful to solve was helping people access video without the production costs and effort getting in the way. \n\n### **Our Asks 👇**\n\n* You can generate your first videos right now by [filling out this form](https://tally.so/r/mOGgLK) to **get an onboarding code** and pinging me on Twitter ([@LaodisOfficial](https://x.com/LaodisOfficial))\n* If you want to play around **with our API**, reach out to [@BrivaelLp](https://x.com/brivaellp) on Twitter",
"url": "https://www.ycombinator.com/launches/LV6-argil-generate-videos-with-your-ai-clone-in-2-minutes",
"votes": 41,
"created_at": "2024-08-01T19:21:32.915Z"
}
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"type": "Full-time",
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"experience": "Any (new grads ok)",
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"title": "Supply Chain Manager",
"url": "https://www.ycombinator.com/companies/vendra/jobs/TNILqFi-supply-chain-manager",
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"title": "Cloud Infrastructure & Security Engineer",
"url": "https://www.ycombinator.com/companies/vendra/jobs/3z2bFVm-cloud-infrastructure-security-engineer",
"location": "San Francisco, CA, US",
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"title": "Full Stack Engineer ",
"url": "https://www.ycombinator.com/companies/vendra/jobs/pi7IbS4-full-stack-engineer",
"location": "San Francisco, CA, US",
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"id": 88957,
"title": "Vendra - Custom Parts, Manufactured in America 🇺🇸",
"tagline": "Vendra brings you fast quotes, rapid production, and direct access to US manufacturers ready to build your parts.",
"body": "Hi YC, we’re [Anish](https://www.linkedin.com/in/anish-bhardwaj-00109695/) and [Shan](https://www.linkedin.com/in/shanmohta/) from Vendra!\n\n### **TL;DR**\n\n**Vendra is the best way to manufacture custom parts in the US, beating legacy platforms like Xometry and Protolabs at their own game.**\n\n[**Submit an RFQ today**](https://vendra-marketplace.io/) **to get fast quotes, short lead times, and experience the difference yourself. 🚀**\n\n\n\n# **THE PROBLEM**\n\nManufacturing is coming back to America, but getting your parts made is still a frustrating process. Existing platforms (like Xometry and Protolabs) hide suppliers from you, mark up your parts, and give you minimal control and flexibility.\n\nAlternately, you do a bunch of manual outreach to find suppliers, check if they have production capacity, see if they have the right equipment, can provide a quote quickly, can meet your tolerances and finish, follow-up a bunch of times, etc… Whichever option you use today - it sucks.\n\n# **THE SOLUTION**\n\nJust submit ONE RFQ on Vendra - **_that’s literally it._**\n\nWe match your parts to US manufacturers who meet your exact specs and automate all the manual sourcing steps. You receive multiple competitive quotes and lead times, collaborate directly with suppliers on design and manufacturing details, and choose exactly who builds your parts.\n\n\n\nWe’re the **_only platform_** optimized for real-time production capacity. Need parts machined on a 5-axis CNC or printed on a large-format SLS printer? We’ll connect you exclusively with suppliers who have that exact equipment available immediately - **_so you get fast quotes and even faster production._**\n\nWe’re already trusted by Apple, Skydio, and leading aerospace and hard-tech startups. **_Our automation and capacity optimization have saved them up to 40% on part cost and cut lead times in half_** compared to legacy platforms.\n\n# **THE ASK**\n\n* Need parts made? [Submit an RFQ!](https://vendra-marketplace.io/)\n* Know someone who needs parts made? Send them this post or tell them to [submit an RFQ!](https://vendra-marketplace.io/)\n* Follow us on [LinkedIn](https://www.linkedin.com/company/vendra-hq/) and [X!](https://x.com/vendraHQ) Oh, and [SUBMIT AN RFQ!](https://vendra-marketplace.io/)\n\n\n\n",
"url": "https://www.ycombinator.com/launches/N8n-vendra-custom-parts-manufactured-in-america",
"votes": 284,
"created_at": "2025-03-25T16:40:06.168Z"
},
{
"id": 83256,
"title": "Vendra - AI vendor and project management for hardware teams",
"tagline": "We use AI to help hardware teams manage projects, files, and more with their vendors and suppliers - all with no change to their existing workflows",
"body": "### TL;DR\n\n* Hardware engineers **_should_** spend their time building cool products, but they **_actually_** spend their time dealing with vendors and doing non-engineering work (digging through emails, searching for files, updating spreadsheets, etc.)\n* Traditional project management solutions don’t really work in hardware, and vendor communications inevitably revert to emails/text messages/WeChat/etc.\n* Vendra uses AI to understand these vendor communications, giving hardware teams modern project management and instant information lookup with almost no change to their existing workflow\n* We offer solutions to hardware teams at all stages - [book a demo today!](https://calendly.com/vendra-shan/30-minute-vendra-chat)\n\n### The Team\n\nWe’re [Shan](https://www.linkedin.com/in/shanmohta/) and [Anish](https://www.linkedin.com/in/anish-b-00109695/)! We’ve known each other since childhood when our parents moved from India to the same apartment complex in Santa Clara. Between us, we’ve built a lot of cool hardware (cameras for autonomous drones, AR/MR headsets) and cool software (ML for satellites, AI for the shipping industry).\n\n\n\n### The Problem\n\nAs a former hardware engineer, Shan experienced the challenges of managing complex projects across a network of vendors, suppliers, and manufacturers. He saw hardware teams struggle to use traditional project management solutions with vendors because of the unstructured nature of projects and communications, security and access issues, and difficulties in the adoption of new processes. The workflow inevitably defaulted to emails, text messages, WeChat, etc., often leading to misplacement of crucial information.\n\nA 2021 report revealed that 70% of engineers still use email for external collaboration, struggling to track critical information across teams. 94% of engineers want faster access to data, and 29% often work with outdated information, leading to costly delays, reworks, and longer time to market.\n\nWe’re building Vendra to change that.\n\n### The Solution\n\n**Vendra uses AI to bring a smart project management suite and file repository to hardware teams working with vendors and suppliers - all with no change to existing workflows.**\n\nSimply connect Vendra to your email/WeChat/WhatsApp/Slack (or cc it to your conversations and threads):\n\n\n\nVendra automatically contextualizes your emails/messages/files and generates key takeaways like project and conversation summaries, open items, blockers, tasks, etc. It also creates a smart file directory so you never have to go digging through emails or attachments ever again.\n\nEasily access all this information from anywhere through our SlackBot, GPT-like chat interface, or web-based dashboard:\n\n\n\nYou can ask Vendra AI things like\n\n* ‘Show me all the quotes and lead times we got from vendors for the upper bracket machining in the past month’\n* ‘What are all the open items for the enclosure injection molding tooling?’\n* ‘Pull up the RF module datasheet the supplier sent me last week’\n* And so much more!\n\nFor teams looking for 2-way external collaboration, we also offer VendraPM - a secure end-to-end platform to onboard your vendors and work together across projects and tasks. Features like secure file sharing, document revision control, and AI-enabled language translation make external work easier than ever:\n\n\n\n### The Ask\n\n* If you work in hardware, [book a demo today!](https://calendly.com/vendra-shan/30-minute-vendra-chat)\n* We also love warm intros to folks in hardware - if you know anyone working in (or around) hardware, we’d love to chat with them to understand their workflow and see how we can help!\n* Follow us on [LinkedIn](https://www.linkedin.com/company/vendra-hq/) and [X!](https://x.com/vendraHQ)",
"url": "https://www.ycombinator.com/launches/Leq-vendra-ai-vendor-and-project-management-for-hardware-teams",
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"title": "Propaya: AI Commercial Lease Abstractions and Reviews",
"tagline": "Cutting 90% lease processing time for real-estate professionals",
"body": "### **TL;DR**\n\nPropaya uses AI to automate commercial lease abstractions and reviews, enabling real estate professionals to distill complex lease data into actionable insights. Propaya customers save 90% of lease review processing time and cost compared to before.\n\n---\n\n### **Why is this important?**\n\nManaging commercial real estate leases is a complex, time-intensive, and error-prone process. Each lease often runs dozens of pages, filled with intricate clauses that require meticulous review. Traditional manual methods slow operations and increase the risk of errors, leading to financial losses, missed opportunities, and legal disputes.\n\n**The Numbers Tell the Story:**\n\n* **Time-Consuming Processes:** Manual lease reviews are labor-intensive, with automation capable of reducing review time by 90%.\n* **Prevalence of Errors:** 78% of companies have errors in their lease data due to outdated information, underscoring the critical need for regular data updates.\n* **Financial Impact:** On average, businesses lose $15 million each year due to hidden commercial lease costs like overlooked clauses and inaccuracies.\n\n**The Business Opportunity:** The lease abstraction service market is booming, valued at $4.48 billion in 2024 and projected to grow to $5.92 billion by 2028, at a CAGR of 7.2%. As leases become more complex, the demand for accurate, efficient, and automated lease management solutions is growing. AI-powered tools, like Propaya’s, are emerging as essential solutions for property managers, asset managers, and real estate professionals.\n\nAs leases become more complex, the demand for accurate, efficient, and automated lease management solutions is increasing. AI-powered tools, like Propaya’s, are emerging as essential solutions for property managers, asset managers, and real estate professionals.\n\n\n\n---\n\n### **Our Solution**\n\nPropaya simplifies lease management with AI-powered tools:\n\n* **Lease Abstractions:** Quickly transform lengthy, complex lease agreements into concise, searchable summaries.\n* **Lease Reviews:** Ensure compliance and catch critical clauses with automated checks that reduce the risk of errors.\n* **Custom Output:** Propaya seamlessly adapts to your existing workflows by generating forms and reports that match your current style and format. This ensures a smooth transition from manual processes to AI-driven solutions, eliminating disruption and maintaining consistency across your operations.\n\nWith Propaya, you can complete tasks in minutes instead of days, freeing up time for high-value activities like portfolio optimization and deal analysis.\n\n\n\n---\n\n### **Our Story and Team**\n\n* **Born from Frustration:** Propaya started when we faced firsthand the tedious, error-prone challenges of managing leases in our family’s small property portfolio—highlighting a clear need for innovation.\n* **From Idea to Platform:**\n * Jake and Reader met in high school at Phillips Academy Andover in 2015 and became lifelong friends.\n * As a Stanford engineering student, Reader saw an opportunity to turn our technical expertise into a solution.\n * What began as a dorm-room idea has become a platform transforming commercial real estate management.\n* **Empowering Real Estate Professionals:** Today, we help property managers, asset managers, and brokers nationwide save time, reduce errors, and focus on unlocking portfolio potential.\n* **Meet the Team:**\n * **Reader Wang, CEO:** Former Aerospace engineer at SpaceX with a passion for solving real-world challenges.\n * **Jake Golas, CTO:** Former full-stack developer at Epic systems with deep expertise in building scalable, reliable software systems.\n\nTogether, we’re making commercial lease management seamless, reliable, and effective.\n\n\n\n---\n\n### **Moving Forward**\n\nWe’re actively expanding our offerings to handle complex multi-tenant lease scenarios, build integrations with property management systems, and provide advanced analytics for smarter decision-making.\n\n---\n\n### **Our Ask**\n\nDo you know property managers, asset managers, or real estate brokers who deal with commercial leases? We’d love to connect with them!\n\nYou can reach us at [**founders@propaya.com**](mailto:founders@propaya.com) or schedule a call via [www.propaya.com](https://www.propaya.com). You can also follow our LinkedIn here. \n\n---",
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"tagline": " Upload your lease; we will handle the rest.",
"body": "**tl;dr:** Propaya simplifies the complexities of property management. Our platform automates routine tasks, provides real-time insights, and reduces the administrative load, empowering property managers to focus on what truly matters—growing their business. Available now at [Propaya.com](http://Propaya.com)\n\n**Meet the founding team behind Propaya - Jake & Reader!**\n\n\n\n**From left to right:**\n\n🧠 [**Jake**](https://www.linkedin.com/in/jacob-golas/) is our analytical brain: CTO of Propaya, CS degree in 3½ years, former full stack software engineer at Epic Systems. Chat with him about #AI #Azure #dotnet\n\n**❤️** [**Reader**](https://www.linkedin.com/in/reader-wang-70bb31166/) keeps an eye on the bigger picture: CEO of Propaya, 7+ years in real estate management and tech innovation, former SpaceX Engineer, and an MS from Stanford. Chat with him about #propertymanagement #proptech #realestate #propertymanagement\n\n---\n\n**Why is smart property management essential?** 🧐\n\nProperty management is evolving rapidly, and staying ahead requires adopting tools that simplify operations and drive growth. With increased demand for remote work and digital solutions, property managers are under pressure to do more with less—Propaya helps you meet that challenge.\n\n---\n\nWe created Propaya because we understand the personal day-to-day challenges property managers face, from handling tenant requests and maintenance scheduling to managing finances and compliance. Our platform was built to automate these repetitive tasks, giving you back precious time and providing actionable insights to make informed decisions.\n\n---\n\n**The Propaya Advantage** 🎉\n\n* **Automated workflows:** Say goodbye to manual data entry and hello to efficiency. Propaya handles everything from lease renewals to maintenance requests with ease. Just upload your lease PDF, and we will take it from there.\n* **Finance management:** Upload a receipt, and we'll keep your expenses organized and securely stored, forming detailed expense data sheets to make tax season easy.\n* **Automated calendar and alerts:** Stay on top of every task with our integrated calendar and alert system. Propaya automatically schedules important dates and sends timely reminders, ensuring you never miss a deadline or appointment.\n* **Remote management:** Manage your properties from anywhere, anytime, with our fully mobile-responsive platform.\n\n**Our Ask** 🙏\n\n* **Try Propaya today!** Visit [www.propaya.com](https://www.propaya.com) to explore our platform and see how it can transform your property management experience.\n* **Share this post!** Spread the word about Propaya with your network—whether they’re property managers, owners, or contractors, they’ll benefit from what we offer.\n* **Connect us with potential partners**: We’re looking to collaborate with property management consultants, real estate investors, realtors, and tech-forward property management individuals and firms. Reach out to us at [**info@propaya.com**](mailto:info@propaya.com)\n\nQuick blurb to share:\\\n_A Stanford-founded startup, Propaya, has launched a platform that automates property management, reduces administrative burdens, and provides real-time insights. Learn more at _[_http://www.propaya.com_](http://www.propaya.com)_ or contact _[_info@propaya.com_](mailto:info@propaya.com)_ for details._",
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"tagline": "Specialty clinics use Entropy to automate patient intake, eligibility, and claims exactly how their teams do. Just 90% faster. ",
"body": "Hey YC 👋 \n\nWe're Rabii and Hashim - co-founders at Entropy! \n\n# TL;DR\n\nWe’re building an AI operating system for specialty healthcare that improves over time. All automations sit on top of Atlas, our provider level context layer to ensure that we capture institutional knowledge and build on it over time. \n\nWe’re supporting multiple clinic locations that serve thousands of patients every single month and growing fast.\n\n\n\n# The Problem\n\n**Specialty clinics are drowning in manual tasks that are costing them billions of dollars and failing their patients and referrers.** \n\n* Intake staff manually process incoming faxes, emails, forms, and calls.\n* Billing staff need to check eligibility, submit prior authorization requests, and submit claims.\n* Patients are stuck waiting weeks for urgent care and referrers have no visibility. \n* Clinics are losing revenue as they miss out on patients and have their claims denied.\n\nStatic automation can’t handle this complexity as SOPs and payor requirements are changing constantly. \n\n# The Solution\n\n**Entropy automates your entire referral and revenue cycle workflow - and gets smarter every single day.**\n\n* **Intake:** Capture referrals from faxes, email, portals. Extract patient data, create charts.\n* **Insurance:** Verify eligibility, submit prior auths, track approvals, fight denials.\n* **Communication:** Update referring physicians, remind patients, manage documentation.\n\n\n\n**Here's the difference:** All automations are built on Atlas, our context layer. It’s a living knowledge base of the clinic’s operations that evolves over time. It learns from every referral, every authorization, every edge case and adapts autonomously. When a payor changes their requirements overnight, Atlas accounts for this without engineering or operational lift. \n\nWe're live across multiple clinic locations that process thousands of patient referrals monthly, now 90% faster than manual workflows.\n\n**About Us**\n\n\n\n\nHealthcare is personal to us. Hashim spent a decade navigating referral hell while managing a chronic condition. Rabii watched his parents do the same. When we sat with specialty clinics, we saw the chaos on the other side - so we're fixing it.\n\nWe've spent our careers scaling complex operations. Rabii at McKinsey building digital businesses, Hashim at Careem handling pricing for millions of daily transactions. We've seen what happens when automation actually works and what it takes to build something that scales.\n\n**Our Ask**\n\nIf you lead ops, intake or RCM at a specialty care provider (or know someone who does), let's talk: [rabii@withentropy.ai](mailto:rabii@withentropy.ai).",
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"title": "Remo: AI copilot for onboarding and compliance teams",
"tagline": "We empower onboarding and compliance teams at financial institutions to get through cases faster and with higher accuracy.",
"body": "### **TL;DR**\n\n* Onboarding and compliance teams at financial institutions struggle with scale, cost, and accuracy. \n* We’re building modular, highly auditable copilots to empower these teams to get through cases faster, reduce cost, and allow them to focus on more complex cases.\n\n### **👨💻Team**\n\nHi, we’re Rabii and Hashim, and we’re building [Remo](http://getremo.ai/). We’ve seen firsthand how financial institutions continue to struggle with manual workflows as they onboard customers and fight financial fraud— we’re here to help! \n\n\n\nCEO, [Rabii](https://www.linkedin.com/in/rabii-malik/), has a Philosophy, Politics, and Economics Degree from the University of Oxford. He was previously a consultant at McKinsey and Company. Over the last two years, he has led international expansion at Telda, a neobank in the Middle East, helping them scale from 0 to 500,000+ customers.\n\nCTO, [Hashim](https://www.linkedin.com/in/hashimrehman/), has a Computer Science degree from King’s College London. He’s spent the last few years leading and scaling Pricing Engineering at Careem for millions of customers. Before that he built multiple consumer products at Deliveroo and consulted as a full-stack engineer for British Airways.\n\n### 🆘 **Problem**\n\nLarge financial institutions spend millions of dollars a year on manual processes in their onboarding, AML, and compliance teams, facing a number of challenges as they scale:\n\n💰 **Cost:** Costs associated with onboarding and compliance teams can quickly spiral out of control as financial institutions grow.\n\n❗ **Quality:** Highly manual processes without automation create scope for increased human error.\n\n⌛ **Time:** Fast-growing financial institutions are faced with customer backlogs and struggle to meet their SLA times.\n\n🙅♂️ **Focus:** When financial institutions are building their own tools to support analysts, they have to invest time and resources distracting them from their core product. \n\nWith increased regulatory enforcement and the rise of AI-enabled fraud, costs continue to grow rapidly. In the U.S. alone, $61 Billion is spent per year on financial crime compliance across staff and software - globally, the number is over $300 Billion of annual spend!\n\n### **🛠️** **Solution**\n\nA full suite of modular, highly auditable copilots to empower the whole onboarding and compliance organization.\n\n**KYC/KYB Onboarding Copilot**: Automatically triages flagged alerts, conducts independent research, generates requests for information, and prepares documentation for human review to ensure that customers are onboarded faster and more accurately.\n\n**AML Copilot:** Auto-completes suspicious activity reports, conducts ongoing due diligence, and facilitates internal reporting of AML cases, empowering teams to focus on more complex cases. \n\n**Monitoring Copilot:** Automates internal information requests, aggregates insights from sampling efforts and generates regular reports for management teams.\n\n\n\n### **✨ ASK**\n\nIf you or someone in your network oversees compliance operations at a financial institution, we’d love to chat with you! You can book an introductory call [here](https://calendar.app.google/dV62vnE3gkC8hKvE7) or email [rabii@getremo.ai](mailto:rabii@getremo.ai).",
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"body": "### **👋 Hi YC!**\n\nWe’re Raphaël and David, and we’re building **Weel — the first GPS app with a built-in dashcam** that works with the phone you already own.\n\n**TL;DR**\n\nWeel turns your smartphone into a dual-facing dashcam and full GPS navigation app — no cables, no SD cards, no new hardware. It records your trips, uploads them securely to the cloud, and gives you evidence in case of incidents.\\\n→ **100% free to use on iOS & Android**\n\nDownload here:[ https://onelink.to/fk9tyg](https://onelink.to/fk9tyg)\n\n**🎥 Demo Video**\n\nhttps://www.youtube.com/watch?v=Gz5eFEN_WNw\n\n**The Problem: Dashcams today are too expensive, messy, and complicated**\n\nDashcams are incredibly valuable: some insurers offer **up to 30% discounts** to drivers who are equipped with one, and footage can make all the difference in resolving accidents or preventing fraud.\n\nYet most drivers still don’t use them.\n\nWe’ve spent weeks testing the most popular dashcams on the market. What did we find?\n\n💸 High cost (up to $550)\\\n🔧 Installation headaches — some even require professional wiring\\\n📼 Local-only footage (SD cards, no cloud)\\\n🚙 Easy to steal if left in the car\n\n📸 Here's what that looks like in real life:\n\n\n\n**Our Solution: Weel replaces all of that with a simple app**\n\n\n\n\\\nWeel is a smartphone app that offers:\n\n* **External dashcam** — Records the road ahead and provides incident evidence in case of an accident\n* **Internal dashcam** — Designed for professional drivers (taxis, VTCs, delivery) to ensure security and accountability\n* **Smart navigation** — Real-time GPS guidance with traffic-aware routing\n* **Cloud & encryption** — Video footage is uploaded via Wi-Fi and encrypted for secure storage\n* **Accident analysis** _(in beta)_ — Automatically analyzes and describes what happened during a crash, to simplify reporting and defend the driver\n\n**Why are we building this?**\n\nFor months, we’ve been speaking with both professional and everyday drivers — many shared stories of accidents where, without any footage, they lost time, money, and even saw their insurance premiums double. They had no way to defend themselves.\n\nWe believe that access to protection, evidence, and safer driving shouldn’t be a luxury — this kind of technology should be available to **everyone**, for **free**.\n\n**What’s next?**\n\nOur goal is to develop a full suite of AI computer vision features such as:\n\n* **Real-time alerts** — Warnings for risky driving behavior to help prevent incidents\n* **Augmented reality navigation** — Smarter, clearer GPS guidance using AR overlays\n* **Video-based traffic reports** — Automatic detection of traffic jams, hazards, and incidents from user dashcams\n\nto create a large, connected and safe driver network improving traffic flow across cities.\\\n\\\n**🙏 Ask**\n\nWant to help us make driving safer for everyone?\\\nTry Weel for free today on iOS & Android →[ ](https://onelink.to/fk9tyg)[https://onelink.to/fk9tyg](https://onelink.to/fk9tyg%5C) \\\n\\\nIf you have feedback, product ideas, or just want to connect — feel free to reach out at [**raphael@weel.live**](mailto:raphael@weel.live). We'd love to hear from you.",
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"body": "**TL;DR**; We're connecting all Latinos across the U.S. and Latin America through a single banking app that is global, instant, and stable.\n\nHi everyone, we are Jesus & Gino, and we’re building [Kontigo](https://www.kontigo.lat/) —**A USDC-smart neobank for Latinos.** (With a Bitcoin piggy bank).\n\n\n\n**The real problem:**\n\n* The fundamental problem behind high fees, underbanked users, and failed currencies, both in Latam and the US, is precisely the same: the lack of a stable currency with global access and minimum government interference.\n\n**The consequence of the problem:**\n\n* The U.S. is home to 65 million Latinos, representing the fastest-growing population in the country; despite this, 35% of them are underbanked.\n* Each year, Latinos in the U.S. send over $170 billion to Latin America, often incurring fees as high as 20%.\n* Once the money reaches Latam, recipients may incur additional fees of up to 10% to convert and cash out.\n* In contrast, Latin America has a population of 700 million, with 20% of households relying on remittances for income and 75% of the population being underbanked.\n* Latin America's financial fragmentation worsens the problem, with 33 countries using 39 different currencies. Over time, all of these currencies have failed due to devaluation, inflation, and poor monetary policies.\n\n**Kontigo offers a USDC global wallet with a BTC savings account.**\n\n* Like Venmo, but on USDC.\n* Like Zelle, but for cross-border payments. No limits.\n* Like Nubank & Revolut, but without inflationary currencies. Bitcoin-backed.\n\nMade for real-life use cases—no crypto BS.\n\n\n\nUser wallets are connected to an **AI-private banker on WhatsApp** for their daily needs.\n\n* Execute international USDC transactions.\n* Build-Credit. Build Wealth.\n* Plan your BTC retirement.\n\n\n\n**We have brought together a “founder mode” dream team!**\n\n* \\+10 years building in fintech.\n* CEO prev built the largest micro-lending app in Venezuela.\n* CTO prev built and scaled 2 fintech companies in Colombia, Mexico and Ecuador.\n* CPO prev built A WhatsApp co-pilot for business owners. Ex-Platzi and HolaCasa. (YC companies).\n* COO prev built an LLM marketplace for Latam using micro-payments instead of subscriptions.\n* Head of design prev was founding team at Rappi, Grability, Imaginamos and Yuno.\n* Head of branding prev built an ultra-premium hand-crafted agave spirit brand.\n* Head of Web3 prev built an on-chain grocery delivery app for Colombia.\n* Head of engineering prev was tech lead at Venmo app development. (+Built a B2B payment startup in Mex).\n* Head of Content prev developed Ualá and Mercado Libre marketing strategy.\n\nKontigo is:\n\n* Already backed by DST Global, Soma Capital, Pioneer Fund, Transpose, HF0, Founders, Inc. Orange DAO, Optimism. +10 YC Alum.\n* Profitable.\n* \\+2 year runway.\n\nWe are gonna make it because we have done it before.\n\nBut this time, we're aiming for the moonshot.\n\nHelp us unlock universal wealth :)\n\nAsk:\n\n* Have a Latino friend? Share the [app](https://www.kontigo.lat/) with friends who need it.\n* Do you know any business, startup, or company that makes cross-border payments or needs a product like ours? Connect us! Contact at [founders@kontigo.lat](mailto:founders@kontigo.lat)\n\n**Stable Currency, Global Access.**",
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"title": "Polymet - AI designer at your service",
"tagline": "We help you create well designed user interfaces and prototypes without any design experience.",
"body": "**TL;DR**\n\nPolymet uses AI to help non-designers create production-ready designs and front-end code. They explain what they want to build or provide an image, and Polymet will design and implement it for them.\n\n\n\n## Problem\n\n* Most companies need help with design but don't have a designer\n* Designers can't design fast enough or are just slow…\n* Managers hate the long feedback loop with the designers, taking days for simple changes\n* They want to do it themselves but learning a complex editor like Figma is hard\n* They need to whip up a whole new demo with new features for a customer but don’t have time to design and build that\n\n## Our Solution\n\n### Design with AI\n\nCreate designs by explaining what you need or providing images (can be hand-drawn sketches).\n\n* **No design expertise required:** Anyone can create beautiful and functional interfaces with us\n* **Quickly flesh out prototypes:** Use these for customer demos and share them with the team\n* **Quickly explore multiple design paths:** Generate multiple variations for inspiration\n\n\n\n\n\n### Edit with Natural Language\n\nRefine your designs using simple English instructions; no need to learn complex editing tools like Figma.\n\n* Make changes quickly and easily, as if you're giving feedback to a designer\n* Select individual elements to ask for improvements, **just like commenting on Figma**\n\n\n\n### Show Your Work to Customers and Teams\n\n* **Make demos for each customer:** Create a special preview link for each client and tune the demo for them.\n* **Work better with your team:** Send preview links to your team to get their thoughts on your designs right away.\n\n\n\n\n\n### Explore a New UX Faster\n\n* **Create multiple variations:** with each prompt to find the best user experience\n* **Image to design:** Upload reference images, sketches, or Figma designs and get started\n\n\"create similar step indicators in different forms, make them functional, and add subtle animations\" **variations: 8**\n\n\n\n### Production-Ready Frontend Code\n\nWith Polymet, every design comes with high-quality frontend code that integrates with your existing codebase.\n\n* **Save time and money:** Polymet is better and faster than hiring a designer and a frontend engineer\n* **Reduce time from designs to code** for engineers\n\n### Get Creative\n\nPolymet lets you make cool, complex designs easily. Here are some examples of that:\n\n* Make fun color pickers\n* Create dropdowns that move in interesting ways\n* Design eye-catching loading animations\n* Build tabs and buttons that respond smoothly\n* Craft date pickers that are easy and fun to use\n\n\n\n\n\n# How can you help?\n\n* Go ahead to [app.polymet.ai](http://app.polymet.ai) , try it out, and share what you've designed and your feedback!\n* If you don’t want to hire a designer and need urgent help with design, hit us up!\n * If you’re in SF, we might visit your office with some “Turkish Baklava” and onboard you personally :)\n* Introduce us to companies who are building out their component libraries and design systems, likely right before or after Series A\n * If you’re working at one of these companies and want to see the enterprise version, schedule a call from: [cal.com/yus-hilmi/onboarding](http://cal.com/yus-hilmi/onboarding)",
"url": "https://www.ycombinator.com/launches/LfG-polymet-ai-designer-at-your-service",
"votes": 68,
"created_at": "2024-08-21T16:59:56.022Z"
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"long_description": "Expanding to other geographies and marketplaces is a massive growth lever for brands and manufacturers, but it’s complex and resource-intensive.\r\n\r\nOmnidock makes it effortless for merchants to sell on multiple marketplaces by acting as their merchant of record. \r\n\r\nBrands simply plug into our operating system, which reads their catalog, assesses marketplace eligibility, and auto-launches their products through our pre-vetted marketplace accounts. We handle all transactions on their behalf, removing the challenges and complexities of multi-marketplace selling",
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"body": "TL;DR; [Assembly](https://assemblyhoa.com/) provides tech-enabled HOA management for your community and [Atlas](https://atlas.assemblyhoa.com/sign-in), a free AI-copilot to help you navigate your HOA.\n\n[Allen](https://www.linkedin.com/in/allenliou1/) and [Shreyas](https://www.linkedin.com/in/shreyas-assembly/) here from Assembly!\n\nWe started Assembly because we were fed up with slow, inefficient, and costly HOAs that often make homeowners feel like renters, powerless against poor management. What’s the point of homeownership if you feel this way?\n\nAssembly leverages the latest in fintech and AI to automate HOA operations and provide real-time information to homeowners. Our cutting-edge software, combined with top-tier HOA managers, ensures that your most valuable asset is protected while delivering a modern, transparent experience you’d expect in 2024.\n\n\n\nWe’re live with 26 communities across Greater Los Angeles and SF Bay Area and a [4\\.9 star rating on Google.](https://g.co/kgs/kYqnUpb)\n\n**Ask:** If you or anyone you know is an HOA board member or a homeowner struggling with their HOA, we’d love to bring your HOA over to Assembly! Please reach out to us at 213 282 8809 or [allen@assemblyhoa.com](mailto:allen@assemblyhoa.com) to learn how we can help or book time directly: \n\n### But wait, there’s more!\n\nTo help any homeowner faster than waiting for the HOA to switch HOA management companies, we’re launching Assembly Atlas, your free AI HOA copilot to help you navigate your HOA. \n\n\n\nAtlas reads through your HOA’s governing documents (CC&Rs, Bylaws, and Rules & Regs) and generates simple cards to help you get clarity about what you can and can’t do in your community. You can also ask Atlas directly if you have other questions or want to go into more detail.\n\n\n\n**Ask:** Try or share Atlas with any homeowners you know: and let us know your thoughts ([founders@assemblyhoa.com](mailto:founders@assemblyhoa.com)). ",
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"title": "Weavel - Ape 🐒 Your first AI Prompt Engineer",
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"body": "\n\n\n\n\n\n\n\n# **☕️ TL;DR**\n\n* **Ape** is the ultimate **AI prompt engineer** 🐒, designed to optimize your prompts by reducing cost and latency while increasing performance.\n* Ape achieves an **impressive 94.5%** on the GSM8K benchmark, surpassing Vanilla (54.5%), CoT (87.5%) and DSPy (90.0%).\n* **Easy to set up evaluation**: Ape can auto-generate evaluation code and use LLMs as a judge, or you can use your own eval metrics.\n* Get set up in less than 15 minutes and see the difference.\n * [Schedule a meeting](https://cal.com/team/weavel/weavel-onboarding) to discover more. Let's chat! 🙂\n\n# **🔒 Problem**\n\nYou’re an engineer of an LLM app, trying to get the prompts just right. Every time you type something in, the output changes—so you tweak a word here and there, and it changes again. Sometimes the outputs looks better, sometimes not. But you’re never sure. Hours go by, all spent on prompt engineering.\n\nGetting the outputs you want can feel like an endless game of trial and error. And you’re not alone. Over the past few weeks, we’ve talked to over 100 YC companies, and a lot of them are facing the same challenges:\n\n* **Measuring output quality is hard** (You’re heavily relying on manual evaluations at the moment.)\n* **Prompt engineering does not work as you want** (You hate spending 5-7 hours a day searching for that one great prompt.)\n\n# **🔑 Solution**\n\n\n\nWe solve the problem with one simple formula:\n\n```\ngood input + right guidance = better prompts\n```\n\nToday, we launch Ape, your first **AI Prompt Engineer**. Inspired by DSPy, Reflexion, Expel and other research papers, Ape iteratively improves your prompts. Here’s how Ape works:\n\n1️⃣ Log your inputs and outputs to Weavel (with a single line of code!)\n\n2️⃣ Let Ape filter the logs into datasets.\n\n3️⃣ Ape then generates evaluation code and uses LLMs as judges for complex tasks.\n\n4️⃣ \u001dAs more production data is added, Ape continues refining and improving prompt performance.\n\n### **How to use**\n\n\n\n**Create a Dataset**\n\nChange just one line of code to start logging LLM calls with the Weavel Python SDK. The SDK supports sync/async OpenAI chat completions and OpenAI structured outputs.\n\nYou can also import existing data or manually create a dataset.\n\n\n\n**Create a Prompt**\n\nWrite a prompt that corresponds to your dataset. You can add an existing prompt as the base version, or if you prefer, create a blank prompt and provide a brief description for Ape to create a prompt from scratch.\n\n\n\n**Optimize Prompts**\n\nTo optimize your prompt using Ape, fill in the necessary information (e.g. JSON schema as you want) and then run the optimization process. An enhanced version of your prompt will be created and available soon.\n\nTa-da! It’s that easy. Ape outperforms with a remarkable 94.5% score on the GSM8K benchmark, surpassing Vanilla (54.5%), CoT (87.5%) and DSPy (90.0%). With Ape, you can optimize the prompt engineering process, saving tons of time and cost while increasing performance.\n\n\n\nApe is **open source**. [Check out our repository on GitHub.](https://github.com/weavel-ai/Ape) (We’d appreciate a star 🌟)\n\n# **🚀 The Team**\n\n\n\nFrom left to right: [**Jun**](https://www.linkedin.com/in/jun-park314/), [**Andrew**](https://www.linkedin.com/in/sounhochung/), and [**HyunJie**](https://www.linkedin.com/in/hyunjiejung/) — together we’re building Weavel.\n\n**Andrew** and **Jun** built 10+ LLM-based products, open-sourced a prompt engineering platform, and co-authored a paper at a NeurIPS workshop last year. **HyunJie** worked on data analytics and optimization at Chartmetric and DevRev, and focused on growth marketing at Liner.\n\n# **🙏 Ask**\n\n* Try Ape! [Schedule](https://cal.com/team/weavel/weavel-onboarding) a walkthrough with the Weavel team or email [hyunjie@weavel.ai](mailto:hyunjie@weavel.ai).\n* Share thoughts on our [Discord](https://weavel.ai/discord) or DM us on [Twitter](https://x.com/weaveldotai).\n* If you know anyone struggling with prompt engineering or evaluations for LLM apps, connect them with us!\n * Copy & paste blurb: A YC company named Weavel has developed an AI prompt engineer (Ape in short) which continuously improves your prompts. It’ll save tons of time for you. You can grab a time [here](https://cal.com/team/weavel/weavel-onboarding) for a demo from the founders.\n\n\n\n",
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"body": "**_tl;dr_** - We’re the fastest and easiest way to solve all of your translation and internationalization issues in one platform.\n\nHello, Hola, Guten Tag, 你好, etc., to you all! We’re John and Brendan, the team creating [Quetzal](https://getquetzal.com/).\n\n\n\n**John** (on the left) worked for three years at Slack on the Slack Connect team, handling new features and requests from customers around the world. He saw firsthand the pain that bad and challenging translations and internationalization had for everyone at the company, from engineers, to CSMs, to PMs, to users.\n\n**Brendan** (on the right) worked for two years at Mercatalyst, a retail startup founded by the creator of Woot.com, which sold to Amazon in 2010. He worked extensively on the project bringing in in-house Spanish translation, and experienced the headache that this effort caused.\n\nTogether, they decided to bring outdated and broken internationalization software and approaches into the year 2024 with Quetzal.\n\n# **Why is the current approach to internationalization and translation broken? 🤕**\n\nIf you're just starting out going international with your product, it can be daunting to see exactly what you need to do. Translating your whole product takes time and perhaps maybe weeks or months of engineering effort, depending on what solution you go with. How do you deliver consistent and accurate translations with context about how your application works? Software translation mostly relies on engineers haphazardly providing text to an internationalization service, which then needs to translate on a string by string basis. This strategy loses important context and leads to poor quality, inconsistent translations, all while putting unnecessary work on engineers.\n\nIf your company already has a robust localization system, there's a whole host of other problems. You need to juggle the constant barrage of customer confusion, growth and change to your product and messaging, and external demands to adjust wording and phrasing, sometimes at the last second. Keeping up with all of that and making your language and messaging consistent with how your product works and what your intents are is super tough and puts unnecessary stress on your localization team.\n\nQuetzal aims to tackles these problems with a new modern internationalization solution that understands your specific goals with each localization problem you're trying to solve.\n\n# **Our ask to you, kind reader:**\n\n* If you’re trying to internationalize or have already done it but are experiencing pain in the process (or if you know someone that is!) please reach out to us at [john@getquetzal.com](mailto:john@getquetzal.com) or [brendan@getquetzal.com.](mailto:brendan@getquetzal.com)\n* Connect us with people on Internationalization and Localization teams within your network so we can see what their pain is.\n* **Share this post!** If you think what we’re doing is cool, share this post out to your network!\n* Or if you just want to practice a second language (we speak English, Spanish, Mandarin, and German between us), play chess, or just chat about internationalization, let us know!\n\n(Yes, we know that we used a parrot emoji in the title, please let us know when they add a real quetzal).\n\nThank you very much for reading,\n\nJohn Thompson & Brendan Agliardo",
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"body": "I used to be an AI lead on Shopify’s catalog. We worked with everything from sex toys (real story) to lightbulbs, for 2bn products. Chaotic catalogs, and lots of war stories.\n\nSince then, we heard the same problem from large catalog merchants like Sunco. Vendors send them Excel sheets with 30% missing data, inconsistent product identifiers and blurry images.\n\nOur catalog agent lives for these headaches. Share any vendor data, pull competitor pricing and product specs, generate images, standardize attributes and output products at scale.\n\n\n\nThe result? A customer told us “[Rastro.AI](http://Rastro.AI) gave us a new scale”. We get thousands of products out of their backlog, and quality listings online.\n\n**Ask**: do you know any retailers or distributors with 5k+ products? We’ll help them launch their next product line in the first month, or offer a refund. \n\n\n\n",
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"body": "# Should it cost you 50k to decorate your home?\n\nDecorating your home? You have 2 choices: hire an interior designer for $50k, or spend 50 hours doing it yourself. A beautiful home, time, money: pick two.\n\nRastro is your hassle-free personal shopper and interior designer:\n\n1. We craft your taste profile in a 15-minute call.\n2. We find you matching decor from 46 sources.\n3. We buy what you love, delivered to your door.\n\nAre you decorating your space? \\\n[**Book your 15-minute onboarding call here.**](https://forms.fillout.com/t/eJHrqtsGiKus)\n\n\n\n# 💡 How we got here\n\nIn our first week at YC, we built a tool to help interior designers source furniture for less. Early on, a designer told us, “Getting an $8k chair for $4k isn’t material, we do $75k jobs.” Not sure their customer would agree, but it does explain their fee.\n\nMost of us know our taste, but scrolling dozens of websites is a waste of time. Niche sourcing channels are jealously guarded by professional dealers, and the best inventory is difficult to find.\n\n# ✅ Rastro’s Solution\n\nRastro is your personal interior designer, with no up-front costs.\n\n1. In an onboarding call, we craft a taste profile for you. Show us your space and tell us what you’re looking for. Share specific pieces you love, styles that inspire you, and how your home is laid out.\n2. Our sourcing agents automatically scour through 46 different sites to find decor matching your tastes. We look through auctions and listing sites as well as classic sources like 1stDibs or West Elm. You receive our top picks and share your feedback directly on Rastro.\n3. We deliver everything you purchase to your door, leveraging retailer partnerships and referrals to ensure a same-price guarantee.\n\nLet us help you decorate your home: book your onboarding call today at [**rastro.sh**](https://rastro.sh)\n\n\n\n",
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"title": "Blaze - AI CFO for Businesses",
"tagline": "An AI CFO that pays your bills, collects your invoices, and forecasts your cash.",
"body": "**TL;DR:** Blaze is an agent that runs the entire finance function for your business: pay bills, accept payments, forecast your cash flow, and keep your books current. Install it with **npx @blaze-money/cli**. Use it with your favorite agentic harness or at blaze.money/agentic-finance. ChatGPT, Claude apps, and OpenClaw plugin coming soon.\\\n\\\nOur launch video: \n\n## ❌ The problem\n\nYou're a lean team busy doing more than you can handle already, and finances feel like a perpetual weight on your shoulders. You know there are bills to pay, invoices to collect on, questions you want answered. But a real finance team costs $10,000 to $20,000 a month, and you could always \"do it yourself,\" so the problem goes on dangling, half solved, half annoyance, always taking up RAM.\n\nWhat ends up happening is bills get paid late, you spend money on some $300/month marketing software your interns bought months ago without you knowing, and real problems with your vendors, payroll, and runway sneak up on you at 2am on Sunday.\n\nWe've lived this personally. As a 3 year old, super lean fintech team running all our own finances, we know what it's like trying to keep the finances afloat while doing everything else it takes to make it big. It's not like the work is rocket science. It's just constant, manual, nagging, and spread across 18 different tools that need sense making.\n\nUntil recently, you had to pay $10,000 a month to hire a finance function. We'd like to change that.\n\n## 🛠 What we built\n\n\n\n\\\nChat with Blaze from your favorite agentic harness and watch it get real things done for your finances:\n\n* **Pay bills and contractors.** Tell it to pay the AWS bill and it finds the invoice, shows you the amount, and pays on your approval. \"Send Maria $3,000 for the design work\" works the same way, domestic or international.\n* **Collect payments and send invoices.** \"Send Acme a payment link for $12,500.\" Blaze creates the link, sends it, and updates you when it's paid. Draft a real invoice the same way, from a one-line request. If a client drags their feet, it follows up automatically.\n* **Forecast cash.** Connects to your bank through Plaid, finds the recurring patterns, and projects your balance so you know your runway.\n* **Handle the pre-accounting.** Categorizes transactions and matches them to the bills and invoices they belong to as they happen, so your actual accounting is easier when you get to it.\n* **Move stablecoins.** On and off-ramps USDC across 80+ currencies, with support for cards and various local payment methods around the world.\n* **Flag problems early.** Tells you about a low balance, an overdue invoice, or unusual spend before it becomes an issue.\n\nIt installs with one command:\n\n```\nnpx @blaze-money/cli\n```\n\nYou can use it anywhere you use AI agents. Our favorites are in Hermes on Telegram and on the dashboard at dashboard.blaze.money. There's a REST API and SDK if you want to connect it to your own systems.\n\n\n\n## 🙏 Ask\n\nIf you are, or you know, any of the following, we'd love to hear from you.\n\n**Founders running lean**\n\nYou're doing your own bills, invoicing, and cash flow because a real finance team costs $10,000 to $20,000 a month. Try it and tell us what breaks: **npx @blaze-money/cli** or .\n\n**Early customers**\n\nWe're onboarding our first businesses now, and want people who'll help us decide what the agent should handle next. Especially focused on handyman and trades businesses (HVAC, repair, remodeling) and property managers, especially in the Airbnb space.\n\n**Anyone with an intro**\n\nTo founders and small teams who'd rather not open their bank again. You can reach us at [founders@blaze.money](mailto:founders@blaze.money).\n\n## 👥 Team\n\nFaiyam is a full-stack engineer who dropped out of med school to build startups instead. As a founding engineer at Luc's previous startup, he helped it scale to $1m in ARR. He manages finances for Blaze, and is personally relieved he no longer needs to stay up on Sunday nights to do so.\n\nLuc is a two-time founder. His first startup hit #1 on the App Store. Before that, he was a tech lead at Spotify and Artsy. Luc built Blaze's cross-border payment rails after living the problem firsthand, moving money in and out of Latin America.\n\nFun fact: Luc and Faiyam met after Faiyam \"coincidentally\" sat down next to him at a coffee shop in Williamsburg, New York, seven years ago. The rest is history (in the making).",
"url": "https://www.ycombinator.com/launches/SFs-blaze-ai-cfo-for-businesses",
"votes": 29,
"created_at": "2026-07-31T17:08:14.398Z"
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{
"id": 83613,
"title": "Blaze - Global Venmo for cross border payments",
"tagline": "Pay anyone, anywhere, seamlessly.",
"body": "**TL;DR**: Blaze is building a global Venmo for cross-border payments. For example, if you're a Californian nomad living in Mexico City, you can use Blaze to pay rent to your local landlord. Or if you're an expat living in Colombia, you can use Blaze to pay your teacher for Spanish classes. Check [us out](https://blaze.money/app-download) on iOS and Android!\\\n\\\nA [quick intro](https://www.youtube.com/watch?v=50MMF87m3ZM) for you:\n\nA little over a year ago, we found ourselves traveling all over the world. Luc was spending time between Mexico, Colombia, and other parts of South America, while Faiyam was nomad-ing around Asia. Everywhere we went, it was a pain to transact with our new friends from other countries. We found ourselves wanting a Venmo like experience that worked for our international lives.\n\nSo we decided to build it. Blaze is the payments app we wanted for our own lives, and if you have a lot of international contacts, perhaps it is for you too.\n\n\n\n_from left to right:_\n\n💻 [Luc](https://www.linkedin.com/in/lucsucces) studied engineering at NYU before going on to start 2 VC-backed startups, one of which went to #1 on the app store and got him sued by Drake (true story). He’s also been a tech lead at Spotify and Artsy, and has lived and worked in over 50 countries worldwide.\n\n🧘♂️ [Faiyam](https://linkedin.com/in/faiyam-rahman) studied mathematics at Duke, then engineering at Cornell before going on to build a $1M ARR business with Luc at his 2nd startup. He’s also an avid practitioner of yoga and meditation.\n\n🧑🎨 [Igor](https://linkedin.com/in/zagnienski) is a former lead designer at BitPanda, Austria’s first unicorn. Prior to that, he spent his time jumping out of planes and running Space Individuals, one of Europe’s leading platforms to find jobs in Space.\n\n# 📱 **App Preview**\n\n\n\n# **🙏 Asks**\n\n* Help us beta test! [Download](https://blaze.money/app-download) on iOS and Android. You can share feedback at [founders@blaze.money](mailto:founders@blaze.money).\n* **Share this post!** If you know someone with an international lifestyle who would want to use Blaze, please share this post with them.\n* **Connect us with** **businesses** in travel, hospitality, or other spaces that could use help with cross-border payments.",
"url": "https://www.ycombinator.com/launches/Lkb-blaze-global-venmo-for-cross-border-payments",
"votes": 34,
"created_at": "2024-08-30T04:16:43.486Z"
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"full_name": "Adria Ferrier",
"title": "Founder/CEO",
"founder_bio": "Co-founder / CEO at Elayne. Former large-cap private equity investor. Wharton grad.",
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"id": 109247,
"title": "Senior Full-Stack Engineer",
"url": "https://www.ycombinator.com/companies/elayne/jobs/fD9AZII-senior-full-stack-engineer",
"location": "New York, NY, US",
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"title": "Senior Applied AI Engineer",
"url": "https://www.ycombinator.com/companies/elayne/jobs/7AXa0LL-senior-applied-ai-engineer",
"location": "New York, NY, US",
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"title": "Founding Operations Lead",
"url": "https://www.ycombinator.com/companies/elayne/jobs/brdrVdJ-founding-operations-lead",
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"url": "https://www.ycombinator.com/companies/elayne/jobs/OFRhZk4-legal-product-fellow",
"location": "New York, NY, US",
"type": "Internship",
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"title": "Elayne - AI estate planner & executor for employees and their families",
"tagline": "We give back 400 hours to grieving employees, boosting their recovery and return to work.",
"body": "Hey everyone, we’re [Adria](https://www.linkedin.com/in/adria-ferrier-8b242836/) and [Graf](https://www.linkedin.com/in/jake-grafenstein-33737270/) - cofounders of [Elayne](https://www.elayne.com/) 👋\n\n# TL;DR\n\nImagine losing a family member. You're grieving and overwhelmed by tasks like funeral planning, managing bills, insurance, probate, and closing accounts—all while trying to process your emotions and return to work. The last thing you need is 400 hours of estate settlement tasks looming over you for the next 16-20 months, making it challenging to perform at work and nearly impossible to take care of your mental health. We solve this problem for both you and your employer.\n\n**_Ask:_** Is your HR team currently reviewing benefits for 2025? Introduce us! Email [adria@meetelayne.com](mailto:adria@meetelayne.com) or [book a demo here.](https://www.elayne.com/request-demo)\n\n# 👫 The Team\n\n\n\n[Adria](https://www.linkedin.com/in/adria-ferrier/) (CEO) - Adria is a former private equity investor at Permira and Blackstone and experienced this problem firsthand after losing her mom. Instead of focusing on due diligence at work, she had to spend hours figuring out how to plan a funeral, manage probate, settle bills, and close hundreds of accounts. She left her job within a year of her loss, as many bereaved employees often do.\n\n[Graf](https://www.linkedin.com/in/jake-grafenstein-33737270/) (CTO) - Graf cut his teeth in fintech working for Truebill (YC W16). There, he led the core web and mobile team, managing the implementation of critical experiences such as subscriptions, transactions, and net worth.\n\n# ❌ The Problem\n\nEmployee bereavement costs US businesses $100bn each year.\n\n* **A look at the numbers**: For every 1,000 employees _annually:_\n * **250 employees** will experience bereavement, 150 will experience a major loss\n * **418 days** will be spent on affairs settlement by employees\n * **$608,000** cost to business in lost productivity, absenteeism, and attrition\n* **No solutions:** there are no practical tools in the market to help HR leadership support their employees in the months following a loss\n* **Manual and time-consuming**: settling an estate takes an average of 400 hours over 18 months to complete and is currently completely manual\n\n# 🙇 Our Solution: One Platform for Family Estate Planning and Automated Settlements\n\n**Family Estate-Readiness 👪**\n\nThe estate-readiness platform provides a novel way for employees and their immediate family members to organize and optimize their estates.\n\n* **Visualizations**: Visualize your estate by uploading existing documentation and using our AI to extract information.\n* **Optimizations**: Use our AI to identify issues that could lead to problems executing the estate.\n* **Document Vault**: Upload and securely store critical documents that are needed in the event of a death.\n\n\n\n**Automated Settlements 🕊️**\n\nThe post-loss platform saves employees 400 hours over 18 months by automating estate and affairs settlement after each loss.\n\n* **AI Concierge**: Chat with our AI concierge, who knows all the details about your situation and can execute tasks on your behalf.\n* **Personalized Roadmap:** Understand at a glance what you have to do, what your loved one planned ahead of time, and what the Elayne AI can do for you.\n* **Resources:** Access exclusive resources that help you understand probate and other opaque parts of the post-loss process.\n\n\n\n**For HR Leaders ✨**\n\nKnowing what to say and how to support an employee experiencing a loss is hard, and navigating the death of an employee is even harder. We're here to help:\n\n* **Immediate Response**: Elayne steps in with an immediate action plan to coordinate urgent needs and communications on behalf of the employee or their family\n* **Workshops:** Explore the emotional and practical challenges that arise during the estate planning and settlement process and learn strategies to foster resilience\n* **Dashboard:** Quickly understand utilization rates, hours saved, and cost savings -for both your employees and company.\n\n# 🙏 Our Ask\n\n* Follow us on [LinkedIn](https://www.linkedin.com/company/meetelayne/), and [book a demo](https://www.elayne.com/request-demo) with our team.\n* **Share this post!** - Do you know anyone in your network who is a CHRO, HR or benefits manager, or head of Total Rewards? Please share this post (or our promo video below!)\n* Learn more at [Elayne.com](http://Elayne.com)\n\n",
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"created_at": "2024-08-29T18:52:06.466Z"
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"long_description": "The physical economy still operates without a common language. Enterprise systems, factories, trucks, and robots generate enormous amounts of data, but most remains fragmented across legacy software and incompatible formats. Without a shared understanding of what is happening, even the most advanced AI cannot reliably coordinate how goods are made, moved, and delivered.\r\n\r\nOway is building that common language. Our protocol, IOI, connects enterprise systems and physical hardware, cleaning messy legacy data and live telemetry into a standardized schema that AI can understand and act on. Through a shared API, businesses can query their operations, identify inefficiencies, and automate actions across systems without replacing their existing software.\r\n\r\nOur first model, Juno, applies this intelligence to unused truck capacity. It tracks empty space on trucks and sells it at a 50% discount to businesses shipping in the same direction. By moving freight directly on trucks already making the trip, Oway reduces shipping costs, damage, and transit times while generating additional revenue for carriers.\r\n\r\nEvery connected system and shipment expands our understanding of capacity, pricing, routes, facilities, and industrial operations. As this network grows, Oway is building toward a future where enterprise software, automated factories, self-driving vehicles, and robots can communicate and coordinate through one shared layer, making the physical economy programmable.",
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"full_name": "Phillip Nadjafov",
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"is_active": true,
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"title": "Staff Engineer, IOI (Internet of Industrials)",
"url": "https://www.ycombinator.com/companies/oway/jobs/My3AkWy-staff-engineer-ioi-internet-of-industrials",
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"title": "Senior Full-Stack Engineer, IOI Applications",
"url": "https://www.ycombinator.com/companies/oway/jobs/kigce04-senior-full-stack-engineer-ioi-applications",
"location": "San Francisco, CA, US",
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"title": "Strategic Partnerships Lead, Enterprise",
"url": "https://www.ycombinator.com/companies/oway/jobs/bGqgrpO-strategic-partnerships-lead-enterprise",
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},
{
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"url": "https://www.ycombinator.com/companies/oway/jobs/dRnkn65-enterprise-sales-manager-pod-lead",
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"title": "Fleet Partnerships Director, IOI (Internet of Industrials)",
"url": "https://www.ycombinator.com/companies/oway/jobs/EEzVXlb-fleet-partnerships-director-ioi-internet-of-industrials",
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"title": "Quantitative Researcher, IOI Index",
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"location": "San Francisco, CA, US",
"type": "Full-time",
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"title": "5 Founders Building the Future of Logistics, AI, and Industrial Technology - The San Francisco Tribune",
"url": "https://thesanfranciscotribune.com/5-founders-building-the-future-of-logistics-ai-and-industrial-technology/",
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"url": "https://www.freightwaves.com/news/how-oway-uses-ai-to-fill-empty-trucks-and-cut-shipping-costs",
"date": "Sep 30, 2025"
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"title": "YC-backed Oway raises $4M to build a decentralized ‘Uber for freight’ | TechCrunch",
"url": "https://techcrunch.com/2025/08/22/yc-backed-oway-raises-4m-to-build-a-decentralized-uber-for-freight/",
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"title": "9 startups that stood out on YC Demo Day 2 | TechCrunch",
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"title": "Oway: Building the Internet of Industrials",
"tagline": "Oway connects industrial systems through a common protocol, giving AI the context to coordinate the physical economy.",
"body": "**TL;DR:** We’re building the Internet of Industrials (IOI), a shared context layer connecting industrial systems and giving AI a common basis of structured data across companies. IOI already powers Oway, where our first model, Juno, uses it to coordinate shipments through unused truck capacity. We’re opening that same foundation to robotics, automated factories and other industrial systems to accelerate US industrial automation.\n\n\n\n**An example:** A factory asks its AI for eight units of mild steel by tomorrow morning. Through IOI, the AI coordinates production with a connected certified supplier and books a connected truck for delivery. All three systems share the context needed to execute and track the order.\n\n### The problem\n\nAmerica is building new factories, deploying automation, and developing autonomous vehicles. But the systems connecting industrial operations still speak different languages.\n\nInventory, capacity, equipment, orders, and operating constraints are scattered across ERP systems, TMSs, warehouses, carriers, sensors, and closed systems. That fragmentation extends across the companies that need to work together. AI cannot reliably coordinate physical work without understanding what exists, what is available, and what each system can do.\n\nProductive capacity goes unused while businesses pay more to make, store, and move goods.\n\n### Introducing IOI\n\nWe built IOI as the backend that runs Oway. It already connects every Oway customer and carrier. We’re now making it available to other businesses as a common structured context layer.\n\nOur thesis is that logistics provides the foundational language for an industrial network. Nearly every physical business can be described through a common set of primitives: **what exists, where it is, where it needs to go, available capacity, time, cost, constraints, storage, and transformation.**\n\nIOI translates those states into structured data that enterprise software, physical hardware and AI agents can share across company boundaries. Businesses can build nodes alongside their existing systems instead of replacing them. \n\nSetting up an IOI node is extremely simple, our default setup allows you to simply plug Oway in as a “carrier” into your stack that monitors and optimizes your supply chain quotes and orders - automatically gaining the context to build a full IOI data lake for you that already has action capabilities and can infer your inventory levels and SKU-level performance. Data can then automatically be fed back to SAP, Oracle Netsuite, or any data system / AI agent you’d like.\n\n\n\nIOI will be open source soon, with Oway maintaining the standard so developers can build compatible systems. It is designed around widely adopted enterprise security practices, with each business controlling its data, access permissions and authorized actions. Nodes can run in enterprise clouds or at the edge.\n\n**Below: Ask IOI anything -** Each Oway enterprise customer also gets search functionality out of the box. \n\n\n\n### Our first model: Juno\n\nJuno is our first AI model. It reasons over IOI to price, coordinate and execute pooled shipments on trucks already traveling the route.\n\nBy ridesharing shipments into capacity already moving, we lower costs, shorten transit times and reduce damage from handling. Carriers earn from their existing capacity, with legal paperwork, insurance and DOT compliance all automatically monitored and handled.\n\n**Below: Juno in Oway OS.** A full API, MCP and EDI-compatible suite that enables businesses to leverage Juno’s rideshare capabilities however they’d like for freight shipping.\n\n\n\nWe estimate this is a **$200B+ annual optimization opportunity within America’s roughly $1T trucking industry**.\n\nWith Oway Rideshare, we deliver average savings of 30% per transaction, while also reducing damage rates, and transit times as well for cross-country shipments.\n\nFreight gives IOI an operating environment where its primitives have to produce real physical outcomes.\n\n### Where we’re going\n\nEvery connected system and shipment adds context about capacity, pricing, routes, facilities, and industrial operations.\n\nThat shared context gives robotics companies, automated factories and self-driving trucks a way to communicate and coordinate across companies. Every company on Oway, and even Oway’s model - are already running on IOI. We believe that providing these capabilities at a national level will lead to significant improvements to the GDP and global competitiveness of US-made products.\n\nOway + IOI already serves Fortune 500 companies, connects over 10,000 vehicles nationwide, and indexes hundreds of millions of dollars in annualized shipping demand.\n\nIf you’re working at a company that makes, stores, or moves physical goods, [we’d love to show you what we’re building](https://www.shipoway.com).",
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"location": "San Francisco, CA, US",
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"title": "Forward Deploy Engineer",
"url": "https://www.ycombinator.com/companies/bucket-robotics/jobs/va6hXZz-forward-deploy-engineer",
"location": "San Francisco, CA, US",
"type": "Full-time",
"role": "Engineering",
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"title": "Synthetic Data Comes of Age: How Bucket Robotics is Changing the Economics of Machine Vision - MVPro Media",
"url": "https://mvpromedia.com/synthetic-data-comes-of-age-how-bucket-robotics-is-changing-the-economics-of-machine-vision/",
"date": "Jul 21, 2026"
},
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"title": "How YC-backed Bucket Robotics survived its first CES | TechCrunch",
"url": "https://techcrunch.com/2026/01/18/how-yc-backed-bucket-robotics-survived-its-first-ces/",
"date": "Jan 18, 2026"
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"title": "Bucket Robotics 🤖 Vision for Manufacturing",
"tagline": "Go from CAD model to defect detection system in the blink of an eye.",
"body": "# ☕ **_TL;DR_**\n\n[_Bucket Robotics_](https://bucket.bot) makes defect detection models way faster and easier to deploy. CAD goes in — detection model comes out.\n\n\n\n# **👥** **The Team**\n\n### Hi everyone, we’re [Matt](https://www.linkedin.com/in/matt-puchalski/) and [Steph](https://www.linkedin.com/in/stephan-wolski/), and we’re Bucket Robotics!\n\n\n\n# **📉 The Problem**\n\nDefects are a universal challenge in manufacturing, particularly with methods like injection molding, die casting, and 3D printing. Factories using these methods frequently retool their lines for different products making it difficult and costly to gather enough data to train defect detection models.\n\nManufacturers strive to ensure that only the highest quality products reach their customers. Avoiding the shipment of defective products not only protects their reputation but also safeguards expensive machinery from damage, maximizes yield by leveraging advanced analytics, and prevents the progression of faulty parts through the production line, which can lead to compounded waste and increased costs.\n\nA 2017 study estimates that [yield losses account for 44% of sheet metal used](https://www.sciencedirect.com/science/article/abs/pii/S092401361730211X) in the production of passenger vehicles — and we want to bring that number down, saving money and the environment.\n\nTraditionally, defect detection comes in two flavors:\n\n1. Pay a person to watch your line.\n2. Train a vision model the old-fashioned way — wait for defective parts to come out and add your sample to the dataset.\n\nPaying people to check parts is inefficient and a miserable job. Collecting enough labeled data samples to train a model is impractical for rapidly retooled outputs, and the labeling is expensive. This often leaves manufacturers with a critical gap in quality assurance, leading to increased scrap, downtime, and potentially unhappy customers with defective parts.\n\n## **📈 The Solution**\n\nWe help eliminate the need for inefficient human monitoring and outdated defect detection by providing a system where we generate defect detection models using CAD files—something every part designed for modern manufacturing has. Our models can run on an edge computing device as small as a Jetson Orin Nano and be continually refined with real-world data.\n\n### **_Here’s why this is a game-changer:_**\n\n* **Early Deployment:** Your defect detector can arrive at your manufacturing line before you’ve manufactured any parts. This means you can catch defects right from the get-go.\n* **Continuous Improvement:** As defects start to appear, we can automatically refine and improve the model, ensuring your system remains top-notch.\n* **Classification**: The system tells you how the part is defective, allowing you to dial in your tooling configuration and maintenance cycle—e.g. when it's time to create a new mold.\n\nCheck out a video on our process here: [Bucket Robotics | Defect Detection](https://youtu.be/U_bJxaH_U9U)\n\n# **🙏How You Can Help**\n\nWe are seeking connections and collaborations to drive our mission forward. If you or anyone in your network is interested in learning more or helping out, we want to hear from you! We’re specifically looking to connect with:\n\n* Quality Assurance and Factory Automation leaders\n* Companies and brands in high-volume and precision manufacturing\n* Experts in the manufacturing and defect detection industries\n\nIf that’s you or someone you know, [please get in touch!](https://bucket.bot)",
"url": "https://www.ycombinator.com/launches/LXd-bucket-robotics-vision-for-manufacturing",
"votes": 77,
"created_at": "2024-08-07T05:00:27.470Z"
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"long_description": "Saldor is the AI-native procurement and accounts payable platform that takes every purchase from request to paid.",
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"subindustry": "B2B -> Supply Chain and Logistics",
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"title": "Saldor: Helping businesses buy goods and services, and close their books faster",
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"body": "### Hey everyone,\n\nWe’re [Jack Cameron](https://www.linkedin.com/in/jackmcameron/) and [Jacob Bland](https://linkedin.com/in/bland-jacob) at [Saldor](https://saldor.com/) .\n\n**TL;DR:** Saldor helps businesses buy goods and services, and close their books faster.\n\n**The Ask**: If you work in procurement or finance, or if you’re building a company with complex purchasing needs, email us at [team@saldor.com](mailto:team@saldor.com). We’d love to talk.\n\n**The Offer**: We’re offering customers a white-glove pilot with no implementation fee.\n\nAfter a brief onboarding call, we’ll do the work required to configure Saldor, connect your existing systems, and load real company data so your team can evaluate it in a live workflow for a short period at no cost.\n\n\n\n**The Problem**\n\nBuying something at a company is rarely as simple as placing an order.\n\nAn employee submits a request. Procurement checks vendors, pricing, security, and lead times. Finance reviews the budget. Legal may review a contract. Someone creates a purchase order, follows up with the vendor, tracks delivery, and eventually matches the invoice against what was ordered and received.\n\nMany companies still manage this through email and spreadsheets, or procurement systems that are expensive and cumbersome to operate.\n\nThe problem gets worse for companies building ambitious physical infrastructure. When data centers, factories, and robotics companies cannot get the right equipment on time, entire projects can be delayed.\n\nWe saw this firsthand at Crusoe, where we helped build GPU data centers. Existing procurement systems could cost hundreds of thousands of dollars to implement, required large teams to operate, and still slowed the business down.\n\n**Our solution**\n\nSaldor is an AI-native procurement and accounts payable tool.\n\nEmployees can request goods or services, and Saldor routes each request through the appropriate approval, security, legal, and finance workflows.\n\n\n\nOur AI agent communicates directly with vendors to collect documents, follow up on quotes and delivery dates, and keep records updated automatically.\n\nSaldor can then generate purchase orders, track receipts, process invoices, and match bills against what was ordered and received.\n\nTeams can also interact with Saldor through MCP and connect it to their ERP, accounting system, or other internal tools.\n\n**The Team**\n\nJack and Jacob worked together as Crusoe building AI infrastructure before leaving to start Saldor. Jack (CTO) holds a B.S in Computer Science from Carnegie Mellon University. Jacob (CEO) holds a B.S in Electrical Engineering and Computer Science from UC Berkeley. \n\n\n\n",
"url": "https://www.ycombinator.com/launches/RAM-saldor-helping-businesses-buy-goods-and-services-and-close-their-books-faster",
"votes": 15,
"created_at": "2026-07-01T17:01:59.082Z"
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"body": "### **TLDR:**\n\n[Usul](https://www.usul.co/) allows defense contractors to easily interpret government policy, track funding lines across budgetary documents, and strategize the best opportunities for new business.\n\n### **Problem:**\n\nWinning DoD contracts can take years, even if you’re well-connected and highly familiar with government acquisition processes. Unfortunately, many companies lack both and go out of business before ever landing their first contract. Adding fuel to the fire, critical government information is randomly dispersed across a multitude of archaic websites, databases, and spreadsheets, making it even harder for new entrants to compete against established primes. As a result, defense contractors are currently spending weeks finding answers to crucial policy, budgetary, and contracting questions and are completely neglected in terms of tooling.\n\n### **Solution:**\n\nWe allow defense contractors to quickly track and query complex DoD demand signals under a unified workspace. Contractors can now:\n\n* Identify novel contract opportunities\n* Track DoD funding lines and analyze project budgetary trends\n* Identify relevant acquisition and compliance regulations\n* Find the most relevant DoD buyers for existing capabilities\n\nAll in one place.\n\n\n\n### **Coming Soon:**\n\nStake your own company data against government demand signals to:\n\n* Predict future funding lines for your capabilities\n* Identify personalized avenues for future opportunities\n* Pull custom acquisition and compliance matrices\n\n\n\n### **About Us:**\n\nWe’re a group of AI nerds who’ve all worked for government contractors like Palantir, Apple, Reliable Robotics, etc. We met in a class at Stanford called Hacking 4 Defense, where we talked to 200+ people in the DoD/defense sector about their biggest problems. Our insights from these incredible conversations inspired us to form Usul. And yes, it’s a Dune reference…\n\n\n\n[Jarren Reid](https://linkedin.com/in/jarrenreid) left high school to start his first company. He then worked for 4 government contractors (Palantir, MITRE, etc.) and dropped out of Stanford to help his past colleagues win more contracts.\n\n[Oliver Gomez](https://www.linkedin.com/in/oliveragomez/) started building as a PM at Finnt (YC W22). He then worked at Palantir and leveraged LLMs for military operational legal review at Stanford’s Gordian Knot Center. He dropped out last quarter.\n\n[Joonghyun Lee](https://www.linkedin.com/in/joonghyun-lee/) is a commercial pilot who has been working on autonomous aircraft research for the past 3 years. He has experienced numerous pain points dealing with regulation across different government agencies.\n\n[Pranav Sriram](https://www.linkedin.com/in/p-sriram/) has been engrossed in AI research for the past four years at Apple and the Stanford Vision and Learning Lab. He previously worked at NASA and saw firsthand how time-consuming getting answers to basic technology, security, and policy questions across government could be.\n\n### **Our Ask:**\n\nWe’re Live! Learn more about what we’re building at [usul.co](http://usul.co).\n\nIf you know any:\n\n* Business Development or Capture teams at Defense Contractors\n* Defense/Government consultants\n* Companies looking to expand to Defense/Government\n\nWe’d love to chat! Please feel free to contact us at [founders@usul.co](mailto:founders@usul.co) or book a demo [here](https://calendly.com/d/ckt9-b7f-k8n/usul-product-call)!",
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"body": "**tl;dr: Embedding these insurance products generates additional revenue, protects customers, and boosts customer loyalty at zero cost. And it’s as easy as signing up for Facebook if you still remember that!** 😉 — [**_Talk to us._**](https://meetings.hubspot.com/manishchauhan/discussion-booking-extended-hours)\n\n_—_\\\n\\\nHello, everyone! We are Manish and Sanket (right to left), the team behind SureBright. We started our professional journey together with our first job at Samsung Research Institute 14 years ago. \\\n\\\n[**Manish**](https://www.linkedin.com/in/manishchauhan01/) **(CEO)**, a graduate of the University of Waterloo (MMath, CS) and INSEAD (MBA), has developed products for industry giants like Amazon and serves on the board of the InsurTech Association. [**Sanket**](https://www.linkedin.com/in/sanketmunjal/) **(CTO)** has led engineering departments at insurtechs such as Policy Bazaar, which has become a household name in India. Together, we bring 25 years of combined experience in insurtechs, startups, major tech companies, and business.\n\n\n\nWarranty and insurance distribution in e-commerce has seen minimal change, with the industry evolving slowly. At Surebright, we're on a mission to revolutionize this by leveraging the latest advancements in generative AI. Our platform enables US and Canadian merchants to seamlessly integrate Apple Care-like warranty programs for any eligible product, from ovens to bikes. We achieve this with nearly zero onboarding and operating costs, allowing merchants to offer these warranties in just minutes across any sales channel.\n\n\n\n### **What is the problem? ❌**\n\nThe cost of offering product warranties is exponentially high for merchants and insurers. As it follows,\n\n1. **Resource-Intensive Integration:** Merchants must create a file transfer-based system to integrate with insurers. Additionally, they need to develop internal tools to apply the correct warranty plans to products, build custom UIs, and manage data collection, sharing, and tracking to meet both insurer and regulatory requirements. This entire process can take **six months to a year to go live**.\n2. **Recurring Additional Work:** Maintaining integrations and tools requires dedicated engineering teams. Running the warranty program also requires dedicated time from the operation team. This usually requires **additional hiring**.\n\nBelow is what the current merchant landscape looks like,\n\n\n\n### **How is SureBright Solving these problems? 🎉**\n\nSureBright’s **warranty program runs on auto-pilot**, empowering merchants of all sizes and providing the following key benefits:\n\n1. **99% less onboarding time, no onboarding or operating costs**, and no recurring tasks or hiring required. Our end-to-end automated solution ensures you never worry about the warranty program.\n2. **Cover any product** under warranty and offer other insurance products, such as Shipping Insurance, without lifting a finger.\n3. **Enjoy the highest warranty conversions** in the industry, averaging around 20.2%.\n\n**With these benefits, we help merchants boost their bottom line** by up to 12% through warranty margin share. Offering warranties also increases customer trust in the brand, leading to 15.6% more conversions and a 14% increase in Average Order Value. In addition, customers get a better post-purchase experience, resulting in more repeat customers and fewer negative reviews.\n\n### **The “aha” moment? 🎯🧠🧨**\n\nWe began our journey to help smaller merchants (<$100M in sales) offer warranties. But, within 3-4 months of going live, we began attracting interest from larger merchants. **The “aha” moment came when Insurance companies started utilizing our platform for their customers.** This was a pivotal moment, leading us to develop SureBright as the Stripe for embedded e-commerce insurance products.\n\nToday, our customers include a diverse range of merchants and marketplaces with $0.5M to $1B in sales, insurance companies, tech firms involved in consumer product purchase journeys (such as Buy Now Pay Later), warranty management companies, and other insurtechs.\n\nYou can explore our consumer journey with partners such as [**Blackstone**](https://blackstoneproducts.com/products/blackstone-pizza-oven)**, **[**Magnum Bikes**](https://magnumbikes.com/products/magnum-pathfinder-t)**, **[**WalkingPad**](https://www.walkingpad.com/products/walkingpad-c2-foldable-walking-machine)**, and Street Cred Capital (BNPL).**\n\n### **How can you help? 🙏**\n\nIf you know any merchant, marketplace, or company participating in the consumer purchase journey, such as Buy Now Pay Later and Checkout Management Companies, please make the introduction. We and they will both be very thankful! Email: [manish@surebright.com](mailto:manish@surebright.com) or [**_BOOK A CALL DIRECTLY WITH US._**](https://meetings.hubspot.com/manishchauhan/discussion-booking-extended-hours)",
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"title": "Diode Computers, Inc. — Circuit boards as a service",
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"body": "Ciao Y Combinator! We’re [Davide](https://x.com/davideasnaghi) and [Lenny](https://www.linkedin.com/in/lennykhazan/) from [Diode Computers, Inc.](https://diode.computer/)\n\n**TL;DR: Diode is an end-to-end platform for circuit board design. With the help of AI, we can finish a months-long design project in days, and then ship working boards straight to your door.**\n\n**Try out our designer at **[**https://pcb.new/**](https://pcb.new/)**, or shop generated boards at **[**https://pcb.store/**](https://pcb.store/)**.**\n\n\n\n# Problem\n\nDesigning printed circuit boards (PCBs) is really hard. Existing tools provide little opportunity for design reuse, so most projects are started from scratch. Since there’s no good way to test your design, your best bet is to just order them and hope for the best.\n\nThought you were done? Nope — ordering PCBs is a pain too. Now you need to source the components, ship them across the globe to your manufacturer, and constantly be on the lookout for part shortages and replacements. It’s a full-time job.\n\n# Solution\n\nDiode solves this by owning the entire PCB design process end-to-end. It starts with a core of composable, reusable modules that users can stitch together to build their boards. When new use cases come up, our AI generator creates new modules in seconds instead of days. And with rigorously-tested modules instead of de novo designs, we can be confident that each board works first try.\n\n\n\nWe then take the user’s design and automatically translate it into manufacturing requirements to send to the factory. We stockpile all of the necessary components to remove the burden of supply chain management from users and amortize the cost of parts across all designs.\n\nThe result is an all-in-one platform for hardware design: describe what you need and get working boards delivered to your door.\n\n# Why\n\nIn a past life, we designed hardware at companies like Apple, and we encountered a problem: PCBs never worked on the first try. At best, they required micro-soldering surgery under a microscope and, at worst, a whole new board. These issues were driving us mad, so we started a company to fix it.\n\nWe want to make hardware design work more like software. Fast iteration cycles, reusable components with clean composition, and one-click ordering to build your products fast and cheap. Our vision is to turn PCB design into a software problem.\n\n**P.S.** Want a customized NFC business card with your logo? Get your own: \n\n\n\n",
"url": "https://www.ycombinator.com/launches/Lee-diode-computers-inc-circuit-boards-as-a-service",
"votes": 83,
"created_at": "2024-08-20T20:15:39.588Z"
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"title": "No Logo: Turn any idea into a real, manufactured product",
"tagline": "Building the orchestration layer for physical product creation",
"body": "The last twenty years have made starting a business seamless. Shopify solved the store. Stripe solved payments. TikTok solved distribution. Manufacturing is the one piece that never moved. Launching a single new product still takes 6 to 12 months, tens of thousands of dollars upfront, and a team of specialists. Most great product ideas die before they become something you can hold.\n\nWe are building the orchestration layer for physical product creation, bridging the gap between customer demand and manufacturing supply.\n\nIt works like this. You describe an idea. Our AI visualizes it with you, breaks it into components and manufacturing processes, and matches each step to the right factory in our network. We run production, QC, and fulfillment, going from idea to a growing brand in about a month with no upfront costs.\n\nWe are not putting logos on mugs. We create entirely new consumer products: a digital camera that clips onto a purse, a lava-lamp humidifier, a painting that glows like the sun. We are starting with creators whose audiences have already validated demand; production happens only after demand exists, not before.\n\nSo far we’ve launched hundreds of products, shipped tens of thousands of items, and reached creator audiences totaling more than 90M people. Every product we create makes the network faster and smarter for the next one.\n\nHave a product idea your audience keeps asking for? We'll make it real. [nologo.com](http://nologo.com)\n\n\n\n",
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"title": "Terra 🌎: Instant supply chain creation",
"tagline": "Enter Terra, a new world of procurement.",
"body": "# **TL;DR -**\n\nUse [Terra](http://useterra.com) as an all-in-one platform to seamlessly **develop, manufacture, and ship your products**. Discover pre-vetted suppliers and instantly create modular supply chains, all while having access to wholesale pricing regardless of order quantity.\n\n—\n\n# **The Team**\n\nHello all! We’re [Dylan](https://www.linkedin.com/in/dylan-mcfarland/) and [Lev](https://www.linkedin.com/in/lev-glushkovskii/) from Terra, and we’re _really_ passionate about making custom manufacturing accessible to everyone.\n\n\n\n# **🚨 The Problem 🚨**\n\nWe’ve been working with suppliers globally since we were freshmen in high school. If you can think of a costly manufacturing or shipping mistake, we’ve likely already made it a dozen times over. But through our experiences building supply chains, we’ve routinely run into the same issues: \n\n⚙️ Way too many moving parts \n\n⚠️ The best factories have high minimum order requirements \n\n👎 Current software is either too rudimentary or ridiculously complex\n\n# **✅ The Solution ✅**\n\n* Forget spending weeks juggling multiple supplier group chats, spreadsheets of shipping quotes, and financial docs. Terra automatically matches you with the right partners through a single dashboard, allowing you to launch products in minutes.\n* We aggregate demand based on similarity, ensuring you’ll get access to the best pricing and factories regardless of order size.\n* Our platform is completely modular. Build a supply chain entirely from our pre-vetted partners, onboard your existing suppliers, or use a combination of both. No constrictions, only flexibility.\n\n\n\n# **🤝 Our Ask 🤝**\n\nAre you or anyone in your network looking to launch/scale/streamline manufacturing processes? If so, hit us at [founders@useterra.com](mailto:founders@useterra.com), we’d love to get in touch.\n\nCurrently looking specifically for anyone selling/manufacturing furniture or home goods! ",
"url": "https://www.ycombinator.com/launches/Lkd-terra-instant-supply-chain-creation",
"votes": 110,
"created_at": "2024-08-30T04:18:41.909Z"
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"long_description": "Keet is a mobile app that generates courses on any topic, with short videos for explanation and games for reinforcement. Courses mirror a real curriculum to help you learn over an extended period of time.",
"one_liner": "An app to create courses on anything. ",
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"tagline": "Integrate with any website and turn it into a API.",
"body": "**TLDR:** [Keet](https://trykeet.com/) provides APIs for any website. Developers use us to connect their customers’ accounts and perform actions on their behalf.\n\n## **Why does this exist?**\n\nIt is difficult to build automations with web platforms, especially those that require authentication.\n\nWe make seamless and stable integrations your competitive advantage.\n\n## **Who is this for?**\n\nYou want to be able to take actions on your users’ behalf.\n\nImagine if you could easily…\n\n* Call an endpoint to submit a form instead of writing a Playwright automation\n* Book Ubers based on your user’s calendar and location\n* Track activity on properties for future homeowners on Redfin\n\nWithout…\n\n* Storing your end user’s credentials\n* Dealing with MFA\n* Writing playwright automations that break when a page gets updated\n\n**There are some other solutions out there. How are we different…**\n\n1. No Chrome extension is necessary for your users to authenticate\n2. We maintain your users’ authenticated sessions\n3. Many of our API abstractions don’t rely on playwright or browser automations\n\n## **How does it work**\n\n1. Link your end user’s account using a Plaid style link component (Web + iOS supported)\n\n \n\n2. Call our API endpoints for their connected platforms:\n\n```\nkeetClient.integrations.venmo.getTransactions()\n```\n\n## **Our Asks**\n\nIf you have any custom integrations you want built, reach out!\n\n\n\n",
"url": "https://www.ycombinator.com/launches/Ljk-keet-apis-for-any-website",
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"name": "et al.",
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"long_description": "et al. is a mobile app that aggregates your newsletters, research papers, articles, and more, in one place. Think of it as an LLM-powered feed delivering you useful content in short insights.\r\n\r\nFor example, if you’re building an AI voice agent, you’ll see the latest in speech-to-text models without having to actively search, go through a pile of research papers, or prompt an LLM.\r\n\r\nWe extract key takeaways from long-form content - allowing you to read as little or as much as you like from the original piece of information. With et al., you get to stay on top of breakthroughs in your field, build knowledge, and discover new interests effortlessly.",
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"id": 83843,
"title": "et al. - Knowledge back on a scroll",
"tagline": "Your daily feed of insights extracted from your go-to sources using LLMs.",
"body": "**TL;DR** - et al. is a mobile app that brings together your newsletters, research papers, podcasts, and more in one place. Imagine a Twitter feed powered by LLMs delivering useful content in short-sentence insights.\n\n**Test our beta** [**here**](https://www.et-al.io/signup) - we need your feedback!\n\n\n\n## 🚫 **Unopened newsletters, lengthy reads, hidden links…**\n\nThere’s a ton of valuable content out there, but key insights are often buried in long formats or hidden behind multiple clicks. With faster consumption habits, finding specific information for work or topics you care about often ends up with you prompting an LLM or typing into a search bar.\n\nYou can subscribe to newsletters, but they tend to be lengthy and rarely specific enough for the applications or areas that matter to you. More than half of them remain unopened, and less than 1% actually lead to a click-through.\n\nThen, there are podcasts, web articles, and blog posts scattered across the web and your different devices. Not to mention research papers, which hold highly valuable insights but are hard to find through a simple browser search and often end up unnoticed.\n\n## 📜 **Knowledge back on a scroll**\n\net al. turns scrolling into a smarter habit. You tell us your interests and what sources you follow and we curate a personalized feed of short insights you can scroll through daily.\n\nWe use LLMs to extract content from your newsletters, research papers, podcasts, and more by navigating through all the relevant links to identify the original piece of information. We then generate insights directly from that source and allow you to read as little or as much as you want from the original content.\n\nWith et al., you get to build your knowledge, discover new interests, and stay on top of the breakthroughs that matter to you - all in one place.\n\n## 👥 **About Us**\n\nHey everyone — we’re [Carine](https://www.linkedin.com/in/carine-fattal/) and [Marie](https://www.linkedin.com/in/marie-van-der-klink/)! We’re design engineers who met five years ago during our Masters at Imperial College London. We previously worked together on a research app for students and researchers - through which we realized there’s a ton of valuable content locked away in long formats or hidden in unread emails. Now, we’re using LLMs to turn all this content into a personalized feed for smarter scrolling.\n\n## 💬 **Our Ask**\n\n**Test our beta** [**here**](https://www.et-al.io/signup) and give us feedback so we can turn et al. into your go-to app for knowledge.\n\n**Share the** [**link**](https://www.et-al.io/signup) with others if you like et al. or know someone who’d use it!\n\n**Drop us a message at** [**founders@et-al.io**](mailto:founders@et-al.io) - we’d love to hear your thoughts.\n\n\n\n",
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"votes": 161,
"created_at": "2024-09-08T02:46:12.668Z"
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"body": "**TL;DR**\n\nRowboat is an open-source AI coworker with two parts. (1) Memory: it turns your email, meetings, and notes into a living knowledge graph, saved as plain Markdown files on your disk. (2) Work surfaces: a built-in email client, meeting notetaker, notes, and browser, plus apps you can build or install from the community. The assistant helps inside the work itself, not just in chat.\n\n16,600+ GitHub stars - Front page of Hacker News twice in 2026.\n\n ·[ https://www.rowboatlabs.com](https://www.rowboatlabs.com)\n\n\n\nHey, we're Arjun and Ramnique.\n\nAt our previous startup, we built a deep-learning product for enterprise support reps at Fortune 100 brands like P&G. The models took live notes, suggested replies, and recommended actions while reps were on calls or handling emails. Coinbase acquired us in 2021. One lesson stuck: it's not enough for the AI to be right. The help has to show up where the work is happening.\n\nSo we built Rowboat around what we call \"work surfaces\": dedicated areas for email, meetings, notes, browser, and parallel coding, where the assistant helps inside the workflow itself rather than only through chat.\n\n* **Email client:** Rowboat has a simple email client that sorts incoming emails into important vs. everything else, and pre-creates drafts for important emails. As you edit and send emails, it takes notes on your style, so future drafts get closer to your voice.\n* **Meeting notes:** We built a Granola-style local meeting notetaker. Notes are stored as plain Markdown files on your machine. After a meeting, Rowboat feeds the notes back into the knowledge graph and updates the relevant people, project, and topic notes.\n* **Browser:** We added a built-in browser, isolated from your main one, where you can log in only to the accounts you want the assistant to help with. The assistant uses browser-use skills to navigate websites.\n* **Parallel coding:** The code-mode inside Rowboat lets you spin up multiple instances of Claude Code or Codex and either work with them directly or let Rowboat use your work context to orchestrate them. We built an ACP (Agent Client Protocol) client in Rowboat for this.\n* **Notes:** Rowboat has an Obsidian-style local note-taking system. It comes with graph view, bases view, and voice notes. You can also sync Google Docs files and edit them inside Rowboat.\n\nAn example email work surface - triage plus pre-drafted replies in your voice:\n\n\n\nYou can also build your own work surfaces inside Rowboat (web apps). Each app gets its own UI and a background agent, and can use all of Rowboat's tools, product integrations, and your work memory. For instance: an app to manage GitHub activity, project tracking, or ads campaign management. There are a few community apps at launch that you can search and install. Publishing your own is one click from inside Rowboat: connect your GitHub and it creates the repo and registers the app for you.\n\n\n\nAll of this is powered by the Brain: a knowledge graph of your work that Rowboat builds and maintains automatically, so every surface starts with full context. We did a Show HN on it a few months back: .\n\n\n\nAs an example that ties some of these together: you can create an app inside Rowboat that collects feature requests from your email, meetings, and Slack and ranks them, then uses Claude Code to draft a first version of the top-ranked feature, pulling prior context about it from your knowledge graph.\n\nRowboat is local-first: data is stored as plain Markdown files you can read, edit, or delete anytime. It is Apache-2.0 and works with any LLM, including local models through Ollama or LM Studio. You can also use your ChatGPT subscription. It works on Mac, Windows and Linux.\n\n**Shipped in public**\n\nEvery major Rowboat release has launched on Hacker News:\n\n* **Rowboat CLI** (Nov 2025): front page, 131 points. A Claude Code-style CLI agent for everyday work, two months before Anthropic's Cowork.\n* **Rowboat Knowledge** (Feb 2026): front page, 205 points, #1 on GitHub Trending. A living knowledge graph as plain Markdown, two months before Karpathy's viral LLM-wiki post.\n* **Rowboat Work Surfaces** (Jul 2026): front page, 219 points.\n\n\n\n\n\n**How you can help**\n\n* Try it:[ https://www.rowboatlabs.com](https://www.rowboatlabs.com) (Mac, Windows, and Linux)\n* Star the repo:[ https://github.com/rowboatlabs/rowboat](https://github.com/rowboatlabs/rowboat)\n* Send it to one friend who lives in email and meetings",
"url": "https://www.ycombinator.com/launches/Rma-rowboat-your-ai-coworker-with-memory",
"votes": 12,
"created_at": "2026-07-21T16:59:26.062Z"
},
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"id": 83046,
"title": "RowBoat Labs - LLM agents for human-like customer support",
"tagline": "Faster resolutions and improved customer satisfaction with AI.",
"body": "**Tl;dr:** [RowBoat](https://www.rowboatlabs.com/) is a pre-trained customer support LLM agent that seamlessly plugs into your systems, handles customer conversations, and performs tasks just like an expert human agent would.\n\n# **Problem**\n\nCustomer support is one of those rare opportunities for a brand to connect directly with its users. The best brands know this and invest heavily in coaching their human agents to deliver a great support experience.\n\nBut when it comes to automated support, most solutions rely on LLMs that aren’t specially designed for customer support and can’t learn from experience. This often leaves users stuck with impersonal and long FAQ-style responses in small chat windows, often missing the help they actually need.\n\nInternal teams might see some early wins with a public LLM + RAG setup, but that progress usually hits a wall fast. Before long, engineers are spending more time debugging common LLM issues instead of focusing on what actually matters: delivering great customer support. As a result, customer satisfaction rates (measured by surveys) get nowhere close to that of human agents.\n\n# **Solution**\n\nRowBoat is built and fine-tuned specifically for customer support\n\n* **Pre-Trained:** RowBoat is trained on a vast corpus of support conversations and further refined through self-play. It's like hiring a highly experienced customer support agent right from day one.\n* **Brand-Aligned:** RowBoat automatically indexes your public and internal knowledge, fine-tuning itself to align with your brand.\n* **Continuous Improvement:** RowBoat learns from every user interaction. When connected to your user metrics, such as resolution rates, RowBoat critiques its own performance to optimize for them continuously.\n\n… for internal engineering teams to build exceptional customer experience\n\n* **Plug & Play:** A drop-in replacement for GPT-4+ class LLMs, RowBoat offers immediate improvements in resolution accuracy. Our SmartRAG system readily integrates with your existing Elasticsearch or embedding-based retrieval systems for improved grounding.\n* **Tool Use & Personalization:** Equipped with a library of predefined functions, RowBoat can interact with and perform tasks on internal and external APIs. This makes RowBoat’s conversations highly contextualized to the user. \n* **Self-hostable:** RowBoat can be hosted inside your company’s cloud, especially for privacy-sensitive use cases.\n\nSeamless conversations…\n\n\n\n… with continuous coaching\n\n\n\n# **Who we are**\n\nWe're a team of three engineers who have worked together for the last 7 years. [Arjun](https://linkedin.com/in/arjunmaheswaran) co-founded Agara, a customer support AI startup where [Ramnique](https://www.linkedin.com/in/ramnique) and [Akhilesh](https://www.linkedin.com/in/akhilesh-sudhakar/) were part of the founding team. In 2021, Agara was acquired by Coinbase, where we built their automated customer support. We have published research and hold patents on LLMs, Reinforcement Learning, embeddings, and customer support.\n\n# **Our Ask**\n\nIf your company has a customer support function, we’d love to connect with your CX or engineering team. Please reach out to us at [founders@rowboatlabs.com](mailto:founders@rowboatlabs.com). We’ll bring an LLM agent trained for your brand to our call 😊\n\n\n\n",
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"votes": 27,
"created_at": "2024-08-14T19:39:27.540Z"
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"full_name": "Mohammed Abid",
"title": "Founder",
"founder_bio": "Co-founder Ficra; 3x founder; designer.",
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"title": "Ficra: A visual map of every ad, email, flow, and screen your users see",
"tagline": "Automatic, realtime visibility into your user journey; a source of truth for every marketing and product funnel.",
"body": "**tldr:** Ficra is a real-time, visual map of your users’ journeys, both inside and outside your product. Our AI automatically gives you real-time visibility into marketing and product funnels, including every ad, email, A/B test, push notification, and in-app flow your users see.\n\n[Get access now](https://ficra.ai/)— we'll get you up and running fast.\n\n# \n\n\n\n# **It’s damn near impossible for companies to track everything their users interact with**\n\nYour company has a lot of online content— your website, marketing emails, Facebook ads, social media posts, and the product itself (which varies based on different A/B tests, geographies, languages, accessibility settings, and platforms). It’s tough to keep track of all the ways users interact with your company, and that’s a big problem for:\n\n* Marketing teams who struggle to understand and optimize their conversion funnels or manage brand consistency when everything is in disparate systems.\n* Compliance teams who need to ensure that customers see required disclosures and consents; otherwise, they risk massive fines for their company.\n* Product teams that can’t effectively develop a roadmap or new features without manually going through their app and taking screenshots of what is live in production.\n\n# **Meet Ficra**\n\nFicra’s AI helps teams see and manage every part of the user experience, both inside and outside of the product. From ads to notifications to product screens, Ficra gives you a clear and updated view of everything your users encounter, all in one place.\n\n# **What customers love about Ficra:**\n\nThe product flows, AB tests, ads, emails, and notifications your users see in one place:\n\n\n\nA complete historical record for compliance, branding, and design audits (can even be shared with banking partners) too.\n\nVisual and text-based search to find the touchpoint(s) you’re looking for:\n\n\n\nSet monitoring rules to flag compliance violations, outdated copy, or broken UI:\n\n\n\n# **The Team**\n\n\n\nHi everyone! We’re [Mo](https://www.linkedin.com/in/mohammed-abid-40777b16/) and [Omar](https://www.linkedin.com/in/omar-el-sadany/), childhood friends for over 25 years who are building our third company together. We’re experienced engineering and product leaders who have founded and exited companies that have scaled to millions in users and ARR. We’ve worked at places like Apple and Meta (4 patents between us), and both have degrees from Stanford and Carnegie Mellon.\n\nWe’re building Ficra because we wanted this tool at our previous companies.\n\n# **Asks**\n\n1. [Get started with Ficra now!](https://ficra.ai/) We’ll have you up and running quickly with minimal effort on your part.\n2. Our early customers have been compliance and marketing teams that need full visibility on their entire user journey. If you know anyone who could benefit, please share Ficra with them!\n\nContact: [founders@ficra.ai](mailto:founders@ficra.ai) | Website: | Calendar: [Book Time](https://calendly.com/omar-ficra/30min)",
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"votes": 159,
"created_at": "2024-09-04T19:27:47.685Z"
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"city": "San Francisco",
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"full_name": "Shaun Wei",
"title": "Founder/CEO",
"founder_bio": "Building voice AI assistant for phone call. \nEx-googler worked on Google Assistant. Previously worked on self-driving car in Pony.ai\n",
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"title": "Founder",
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"title": "Hey Revia - AI call assistant for healthcare providers",
"tagline": "Voice AI to automate complex phone calls for healthcare providers.",
"body": "# ❌ **The Problem**\n\nHealthcare providers waste countless hours navigating insurance, pharmacies, and PBMs. Whether it’s credentialing, waiting for prior authorizations, or handling billing disputes, the process steals valuable time that could be spent on patient care.\n\n# ✨ **Our Solution**\n\nImagine an assistant that never gets tired of being on hold. Revia does just that—an AI-powered call assistant tackling the most complex healthcare communications. With its natural language processing, Revia handles the toughest tasks: navigating IVRs, managing call scenarios, and getting things done. From coordinating with insurance for prior authorizations to following up with pharmacies, Revia simplifies the workflow, giving your team time to focus on what truly matters—patients.\n\nRevia doesn’t just save time—it transforms how you interact with the backend of healthcare.\n\n# 🎤 **Here are some ways you can use Revia**:\n\n\n\n**⭐ See Revia in action 👆**\n\n* Credentialing verification\n* Prior authorization follow-ups\n* Billing and payment disputes\n* Coordinating referrals\n* And many more\n\n# 🔒 **Data Privacy and Security**\n\nAt Revia, we take data privacy seriously. Our AI agents adhere strictly to HIPAA compliance, providing full transparency and rigorous protection for your sensitive information. We’ve implemented robust security protocols to ensure the utmost privacy and integrity in every interaction.\n\n# **🚀 Asks**\n\n* **Try Revia**: Schedule a demo at [heyrevia.ai](http://heyrevia.ai/)—whether you’re in health tech, a provider, or a payor, we’d love your feedback!\n* If you are interested in what we are building and want to collaborate, let’s hop on a call via \n\n# 👉 **Follow Us**\n\n* Follow us on [Web](https://heyrevia.ai/), [Twitter/X](https://twitter.com/heyrevia), [Linkedin](https://linkedin.com/company/heyrevia), or contact us at [founders@heyrevia.ai](mailto:founders@heyrevia.ai)\n\n\n\nHey! [Shaun](https://twitter.com/agishaun) and [David](https://www.linkedin.com/in/david-w-zhu/) here. We are both ex-googlers / AI engineers and dads.\n\nAfter hearing our daughters’ pediatric clinic spent hours on calls with insurance companies and pharmacies, we knew we needed a better solution. That’s why we are building Revia—to free healthcare providers from the stress of administrative calls and allow them to focus on what really matters: caring for patients like my daughter.\n\nP.S. Back in 2018, when Sundar Pichai demoed AI making a hairdresser appointment, we were behind the scenes at Google Assistant. Today, I’m bringing that same technology to healthcare—one call at a time.",
"url": "https://www.ycombinator.com/launches/LoL-hey-revia-ai-call-assistant-for-healthcare-providers",
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"id": 29954,
"name": "Henry",
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"website": "http://www.henry.ai",
"all_locations": "New York City, NY, USA",
"long_description": "Henry is an AI copilot for commercial real estate (CRE) brokers that seamlessly integrates a brokerage’s internal data set with external sources to generate custom presentations and financial modeling for deals. Our mission is to help CRE brokers close more deals faster, earning more while doing less repetitive work. We’re initially focusing on enabling brokers to generate deal decks in seconds—a task that typically consumes 20+ hours a week across multiple departments within a brokerage.",
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"subindustry": "Real Estate and Construction",
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"full_name": "Sammy Greenwall",
"title": "Founder/CEO",
"founder_bio": "Sammy is the Co-Founder and CEO of Henry, Co-Founder and former CRO of Lev (which he scaled 0 to Series B / $10M+ run rate), and a retired real estate finance professional. Sammy was born and raised in the Bay Area and played college basketball at Swarthmore College. Sammy is passionate about building great products in large and stubborn markets.",
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"full_name": "Adam Pratt",
"title": "Founder/CTO",
"founder_bio": "2x Founder, Currently CTO and Co-Founder @ Henry.\n\nPreviously, Firefighter (Hamilton, NY - Station 19) and Co-Founder @ Halligan (Fire Department Saas Platform). Aquired by Vector Solutions in 2019\n",
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"title": "Henry - AI copilot for commercial real estate brokers",
"tagline": "Automating tedious presentations & financial modeling to let brokers get back to what they do best: selling.",
"body": "Hi everyone! We are Sourav, Sammy and Adam, and we’re creating an AI copilot that automates the deal deck creation and financial analysis process for CRE (commercial real estate) brokers. For example, [Henry](http://www.henry.ai/) can create a full deal package for a broker selling an office building in Dogpatch in minutes instead of weeks. This will ensure that brokers maximize their time in the most value-added part of their business: relationships and sales.\n\n\n\n(Sourav is remote!)\n\nTraditional brokers often spend as much as 50% of their time on tasks that do not contribute to their bottom line. From basic financial analysis to marketing presentations to win future business to basic operational support, brokers often struggle with the manual and time-consuming realities of their business. These tasks are an incredibly painful bottleneck for brokers, which interferes with their primary goal of _building relationships to buy and sell property_.\n\nWe are creating [Henry](http://www.henry.ai/) to solve this problem. Henry is an AI copilot that takes all of the messy, unstructured data that defines CRE transactions and consolidates it into clean marketing deliverables & financial analyses in minutes rather than weeks. Long term, we plan on automating the entire deal flow process for brokers to make their cycle time for a deal an order of magnitude faster. You can find an example of what we do below:\n\n\n\nI ([Sammy](https://www.linkedin.com/in/sammy-greenwall-387b3256/)) led Lev for the last five years, a 200+ person series B real estate financing marketplace that I co-founded. During this time, I realized that brokers were often bottlenecked by manual processes & antiquated technology, a problem optimally solved with advances in AI-driven technology. This led me to my partnership with [Adam](https://www.linkedin.com/in/adam-pratt-73a4aa103/), and Sourav who has deep experience in creating AI-enabled solutions for thorny problems that plague traditional businesses.\n\n# **How you can help:**\n\n* Know any CRE brokers? We’d love to talk to them about how we can make their lives easier & their paychecks larger. Contact us at [sammy@henry.ai](mailto:sammy@henry.ai)",
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"title": "BrowserOS – The Open Source Agentic Browser",
"tagline": "Build AI agents that automate any browser task using plain English",
"body": "**TL;DR:** **BrowserOS is an open-source, AI-native browser that automates your tedious web tasks**. Just describe what you want in plain English—like \"find software engineers from my LinkedIn requests and add them to a google sheet\"—and watch an AI click, type, and navigate on your behalf, all running locally with your logged-in sessions. We're an open-source and privacy-first alternative to Comet, Dia, Chrome.\n\nWe are grateful for all our early supporters — 4.3k+ Github ⭐, 25,000+ downloads and an active discord community of 1000 folks!\n\n\n\n### **🤔 Why Now**\n\nAI coding tools made developers 10x faster. But a billion knowledge workers still grind through browser busywork. Copy-paste. Click. Repeat. Even we spend half our engineering time on mindless browser tasks. It's ridiculous—AI writes our entire codebase but can't click a button.\n\nSo what’s blocking the browser’s ‘Cursor moment’?\n\n### **🧨 The Problem**\n\nWe think it comes down to three big problems preventing mass adoption of AI agents for knowledge workers, especially at enterprises:\n\n**1. Can't access your logged-in sessions.** Most agentic solutions today (like ChatGPT Operator, Manus) run on remote computers. They can't log into your Gmail, LinkedIn, or company tools. So they fail at every real task you actually need help with.\\\n**2. Tools are fragmented.** You've got agent builders that use MCP servers. Others that only do browser automation. Some that just call APIs like Zapier. There's no single solution that lets you build an agent using all these approaches together.\\\n**3. Closed source:** Most other popular browsers come from search/ad companies who want to track you and sell ads. They lock you into their LLMs, hide how things work, and send your data to their servers. That's a dealbreaker for enterprises who can't send sensitive data to third parties.\n\n## **🥳 Our Solution**\n\nBrowserOS is an open-source, privacy-first browser built to solve these problems by design.\n\n1. It's just a normal browser you download and run on your machine. You log into websites like you always do. But now agents can use those logged-in sessions to actually do useful work - they can browse the web just like you would, using your existing logins.\n2. We support both MCP servers and browser automation. You can stitch them together to build agents that handle complex workflows. Need to pull data from a website, process it through an API, then update a spreadsheet? One agent can do it all.\n3. We're fully open source. You can see our system prompts, change them if you want. Bring your own API keys or run models locally with Ollama. Your data stays on your computer.\n\nKey features of BrowserOS:\n\n* **Build agents with plain English** - Just describe what you want. No coding required.\n* **Use any LLM you want** - Bring your own API keys, switch between models, or run everything using local LLMs\n* **Still a normal browser** - It's Chromium underneath. All your Chrome extensions work.\n\n### **🚀 The future**\n\nHere's what excites us: a billion knowledge workers spend 60-80% of their day in browsers. Every enterprise runs on web apps—Salesforce, SAP, Workday, internal tools. These workers waste hours on tasks that make them miserable. Filing expense reports. Extracting data from dashboards. Setting up ad campaigns.\n\n**We think browsers will become new operating system where AI employees live and work alongside humans.** Imagine a world where IT builds an “expense report agent” once, every employee benefits. Someone shares their “Facebook Ads agent” publicly. You fork it, tweak it for your workflow. The mundane work gets automated while humans focus on what matters.\n\nThis kind of automation only works in browsers. Not everything has APIs, but everything has a web UI. If an agent can click and type like a human, it can automate any web app—from legacy enterprise software to the latest SaaS tools.\n\nWe're building the best browser for this future!\n\n### **🏋️♂️ Team**\n\nWe're twin brothers who've been building products together for years. We spent the last 6 years as engineers at Google and Meta.\n\nNikhil worked on Instagram Reels and Facebook Feed Ranking backend—deep C++ and systems work. Nithin was an ML engineer on YouTube Recommendations and worked on building Youtube’s first Large Recommender Model (LRM).\n\nWe feel this gives us the perfect mix of experience to tackle a massive C++ codebase like Chromium while building a powerful agent and AI layer on top.\n\n\n\n### **🙏 Our Ask**\n\n* **Star us on [GitHub](https://git.new/browseros)** to support our mission.\n* **Download [BrowserOS](https://www.browseros.com/)**; it’s available for macOS, Windows, and Linux!\n* **Join our [Discord](https://discord.gg/YKwjt5vuKr)** to help shape our roadmap.",
"url": "https://www.ycombinator.com/launches/ORU-browseros-the-open-source-agentic-browser",
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"created_at": "2025-09-19T16:05:06.209Z"
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"title": "Felafax: Expanding AI Infra beyond NVIDIA",
"tagline": "Building open-source AI platform for next-generation AI hardware, reducing ML training costs by 30%.",
"body": "**TL;DR:** We are building an open-source AI platform for non-NVIDIA GPUs. Today, we are launching one of the pieces, a seamless UI to spin up a TPU cluster of any size and providing an out-of-box notebook to fine-tune LLaMa 3.1 models. **Try us at **[**felafax.ai**](https://felafax.ai?utm_source=yc&utm_medium=post&utm_campaign=launch-yc)** or check out our **[**github**](https://github.com/felafax/RoadRunnerX)**!**\n\n## 👋 Introduction\n\nHi everyone, we're Nikhil and Nithin, twin brothers behind Felafax AI. Before this, we spent half a decade at Google and Meta building AI infrastructure. Drawing on our experience, we are creating an ML stack from the ground up. Our goal is to deliver high performance and provide an easy workflow for training models on non-NVIDIA hardware like TPU, AWS Trainium, AMD GPU, and Intel GPU.\n\n\n\n## 🧨 The Problem\n\n* The ML ecosystem for non-NVIDIA GPUs is underdeveloped. However, alternative chipsets like Google TPUs offer a much better price-to-performance ratio; **TPUs are 30% cheaper** to use.\n* The cloud layer for spinning up AI workloads is **painful**. Training requires installing the right low-level dependencies (infamous CUDA errors), attaching persistent storage, waiting 20 minutes for the machine to boot up… the list goes on.\n* Models are getting bigger (like Llama 405B) and don't fit on a single GPU, requiring complex **multi-GPU** orchestration.\n\n## 🥳 The Solution\n\nToday, we're launching a cloud layer to make it easy to spin up AI training clusters of any size, from 8 TPU cores to 2048 cores. We provide:\n\n* **Effortless Setup:** Out-of-the-box templates for PyTorch XLA and JAX to get you up and running quickly.\n* **LLaMa Fine-tuning, Simplified:** Dive straight into fine-tuning LLaMa 3.1 models (8B, 70B, and 405B) with pre-built notebooks. We've handled the tricky multi-TPU orchestration for you.\n\n\n\nIn the coming weeks, we will also launch our open-source AI platform built on top of JAX and OpenXLA (an alternative to NVIDIA's CUDA stack). We will support AI training across a variety of non-NVIDIA hardware (Google TPU, AWS Trainium, AMD and Intel GPU) and offer the same performance as NVIDIA at 30% lower cost. **Follow us on **[**Twitter**](https://x.com/nikhil_sonti)**, **[**LinkedIn**](https://www.linkedin.com/company/felafax/)** and **[**Github**](https://github.com/felafax/RoadRunnerX)** or updates!**\n\n## 🙏 How You Can Help\n\n1. Try our seamless cloud layer for spinning up VMs for AI training – **you get $200 credits** to start off - [app.felafax.ai](https://app.felafax.ai/)\n2. Try fine-tuning LLaMa 3.1 models for your use case.\n3. If you are an ML startup or an enterprise that would like a seamless platform for your in-house ML training, reach out to us ([calendar](https://cal.com/nikhilsv/felafax)).",
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"title": "XTraffic - Making traffic lights smarter and travel times faster",
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"body": "**Tl;dr:** [XTraffic](https://xtraffic.com/) upgrades traffic lights to work together as an intelligent system, communicating and coordinating to reduce traffic and improve safety. The autonomous control of traffic lights gives back to both city officials and their citizens their most valuable resource - time.\n\n—\n\nHi everyone, we’re [Everett](https://linkedin.com/in/everett-ivy-b686b0248), [Luke](https://www.linkedin.com/in/luke-adams-8528b72b1), and [Brian](https://linkedin.com/in/brian-payne-a1460511b), the founders of XTraffic.\n\n\n\n**Why Now?**\n\nThe combination of rapidly advancing technology and smart-city initiatives has created a unique intersection in time where intelligent traffic control is not just possible but affordable.\n\nAs smart city initiatives are being adopted worldwide, municipalities of all sizes are looking for ways to affordably transition to intelligent infrastructure. XTraffic leverages this trend by providing cities with a scalable, intelligent system that upgrades existing traffic lights into a self-optimizing network.\n\n**Market Opportunity**\n\nThe global smart city market is projected to reach [$3.84 trillion by 2029](https://www.mordorintelligence.com/industry-reports/smart-cities-market), with traffic management as a requirement to aid in driving this growth. Urban areas are expanding, and traffic congestion is a major pain point that costs the U.S. [more than $70.4 billion in 2023](https://inrix.com/scorecard/), a 15% increase from 2022. XTraffic is tapping into this immense market opportunity by offering a solution that not only reduces traffic congestion but also enhances safety, reduces emissions, and increases overall quality of life.\n\n**Why XTraffic?**\n\nOur system isn’t just about less traffic; it’s about smarter use of our infrastructure. XTraffic's approach allows traffic lights to 'talk' to each other, making real-time decisions based on current conditions across an entire network. This holistic view enables our system to adapt dynamically to changing traffic patterns, emergencies, and other factors - this significantly reduces delays and optimizes traffic flow across entire cities.\n\nWith our solution, cities can avoid the massive costs of overhauling infrastructure. Instead, they can implement an affordable, flexible system that integrates seamlessly with existing technology. This reduces the barrier to entry and allows for rapid deployment, scaling from single intersections to entire metropolitan areas.\n\n**Call to Action**\n\nWe’re excited to be part of Y Combinator, and we’re looking forward to connecting with cities, investors, and partners who share our vision for smarter, safer, and more efficient urban environments. If you’re interested in learning more or discussing opportunities, check out or reach out directly to our team.\n\nLet’s work together to give people back their most valuable resource: time.",
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"body": "**TLDR:** Anglera is the foundational AI layer that transforms messy product data into structured, searchable, enriched content at scale.\n\n🎥 **See our AI agents in action**: https://youtu.be/zlLaT-Uv9Xs\n\n---\n\n### **🔥 The Problem**\n\nWhile everyone's building AI apps, there's a massive infrastructure gap underneath: **product data is broken at scale.**\n\n* **Poor Discoverability** - 20% of searches return zero results due to missing/inconsistent information\n* **Low Conversion** - Data errors cause 23% loss in impressions and 14% drop in conversions\n* **Slow Time-to-Market -** Weeks of delays getting new products live due to manual data entry\n\n**Result:** Billions in lost revenue from broken infrastructure.\n\nThe tech stack looks like this today:\n\n```\nBeautiful frontend shopping UI/UX\n↓\nIntelligent search & discovery algorithms\n↓\nMessy, unstructured product data ← ✨ We fix this\n```\n\n### **🧠 Our Approach**\n\nWe've built AI agents that automatically transform any product data source into clean, structured, enriched content:\n\n* **Input:** Messy spreadsheets, PDFs, images, brand websites, supplier feeds \n* **Output**: Complete, enriched product catalogs, continuously optimized for AI discoverability\n* **Scale:** Process thousands of SKUs in seconds, not weeks.\n\n---\n\n### **🎯 Why Now?**\n\nTwo massive shifts are happening simultaneously:\n\n1. **AI Search Explosion:** ChatGPT, Perplexity, and others are becoming primary product discovery channels\n2. **Agentic Commerce:** AI agents are starting to make purchases autonomously\n\n---\n\n### **🤝 The Founding Story**\n\n\n\n**Amay** and **Ray** - Stanford AI grads who lived this pain at Uber Eats scale:\n\n* **Amay:** Led Catalog AI, enriching millions of SKUs\n* **Ray:** Led CPG Ads, scaling product-driven ad campaigns\n\nNow we're bringing that same level of sophistication to every retailer.\n\n---\n\n### **🔮 The Vision**\n\nImagine a world where:\n\n* Every product is instantly discoverable by AI agents\n* Product information flows seamlessly between systems\n* New products go to market in hours, not months\n\n---\n\n### **🙏 Our Ask**\n\nWe're looking for connections to:\n\n* **Technical leaders** at retailers/marketplaces dealing with product information challenges\n* **AI shopping, search, or marketplace founders** who might benefit from what we're building\n\n\\- Amay, Ray & the Anglera Team\n\nWebsite: [www.anglera.com](https://www.anglera.com)\n\nEmail: [founders@anglera.com](https://founders@anglera.com)",
"url": "https://www.ycombinator.com/launches/Nlc-anglera-ai-product-data-enrichment",
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"created_at": "2025-06-17T13:40:54.115Z"
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"title": "🛍️ Anglera: The smartest way to manage e-commerce products",
"tagline": "Turn complex product data into high-converting listings in seconds",
"body": "**TLDR**: [Anglera](https://www.anglera.com) is an AI-powered platform designed to help e-commerce companies manage their product data. We empower brands, retailers, and marketplaces to effortlessly onboard, enrich, and list hundreds of product SKUs. This saves time and improves sales. Contact us to learn more: [amay@anglera.com](mailto:amay@anglera.com)\n\n### **👋 Who we are**\n\nHello! We’re [Amay](https://www.linkedin.com/in/amayaggarwal/) & [Ray](https://www.linkedin.com/in/\\~iyer), and we’re on a mission to redefine how e-commerce companies manage their product data.\n\n\n\nWhether you’re a brand, retailer, or marketplace, we know that dealing with e-commerce products can be challenging. We faced this problem first-hand at Uber Eats, where we built tech to enhance millions of listings uploaded by our restaurant and retail partners.\n\n### **🔍 Problem**\n\nMost rapidly growing e-commerce companies spend several hours each week managing their products across sales channels. Teams drown in spreadsheets, manually adding descriptions, images, and attributes for hundreds of items. This time-consuming process diverts focus away from actually growing their core business.\n\n### **💡 Solution**\n\nWe’re tackling the $20B Product Information Management (PIM) industry by building the smartest platform for managing e-commerce product data.\n\n\n\nAnglera empowers every e-commerce business with their own AI catalog ‘expert’ trained on thousands of top-converting product listings. We not only help our customers onboard new products faster, but also improve all of their listings to drive better sales.\n\n**Key Features:**\n\n* **✅ Faster Time-To-Market**: Instantly onboard products from any source (Website URL, Spreadsheet, PDF, etc.)\n* **✅ Better Sales**: Automatically enrich descriptions, images, & attributes to drive conversion\n* **✅ Wider Reach**: Start selling on new channels with just one click (Shopify, Amazon, etc.)\n\nWe measure success for our customers with two simple metrics: 1) $ increase in sales, and 2) # of hours saved.\n\n### **🙏 Asks**\n\n1. **Let’s chat** if you're a brand/retailer/marketplace looking to improve how you manage your product listings. Happy to share data-driven learnings from years of experience working on this at Uber Eats.\n2. **Introduce us** to any e-commerce companies in your network. Whether it's a friend running their own brand or someone who works at a larger retailer or marketplace, we’d love to connect.\n\nContact: [amay@anglera.com](mailto:amay@anglera.com) | Website: [www.anglera.com](http://www.anglera.com) | Calendar: [Book Time](https://calendly.com/amay-anglera/15-min)",
"url": "https://www.ycombinator.com/launches/LU0-anglera-the-smartest-way-to-manage-e-commerce-products",
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"created_at": "2024-07-30T21:50:52.321Z"
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"title": "Void: The open source Cursor alternative",
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"body": "**_TL;DR:_** [Void](http://voideditor.com/) is the open source Cursor alternative. It offers the AI features of modern AI coding tools, while allowing you to host your own AI model locally and keep your data private. Check us out on [GitHub](http://github.com/voideditor/void)!\n\n\n\n# About us\n\nHi everyone, we’re [Mat](https://linkedin.com/in/mathew-pareles/) and [Andrew](https://linkedin.com/in/andrew-pareles), and we’re the team behind Void. Mat’s been prompting Transformers since before GPT3 became mainstream, and Andrew did quantum computing research at JHU APL. We’re best friends who have been programming together since we were 8. \n\n\n\n_left to right: Mat (CTO), Andrew (CEO)_\n\n# ❌ The problem: the leading AI IDE is closed source\n\nCursor is a closed-source AI editor, which means you need to send your private data through their API every time you use it. This leads to obvious privacy concerns. It’s also expensive for developers, and it means people don’t have many choices for a great AI coding experience.\n\nWe think the future of AI should be open. You should be able to use whatever model you like and not be locked into using a private company’s API.\n\n# ✅ The solution: open source\n\nThe solution: create an open-source alternative. This way, you can choose to self-host or communicate directly with any model you like, anywhere you like. \n\nThere are lots of benefits to open-sourcing besides privacy, too: on Void, you can access community-made AI features and gain full access to all your prompts.\n\n# Key features\n\nWe’re building a lot. Here are the features we’re most excited about:\n\n* **File system awareness:** Void can answer questions about your entire codebase. It builds an index of all your files and uses it automatically, so you don’t manually select relevant files.\n* **View and edit underlying prompts:** Void lets you open up the hood and view/edit every single prompt in your chat history. This is really important if you want to understand how the LLM got its answer, and it’s lacking in most closed-source tools.\n* **Fast edits across 1000s of lines:** Even if your file is thousands of lines long, Void applies changes almost instantly. We prompt the AI to make changes the way a human would instead of rewriting the whole file.\n\n\n\n* **Full privacy / data control:** All of Void’s prompt-building is done on your own computer. This means you can self-host your own model and have your data never leave your network. Or, you can connect directly to Claude, GPT, or Gemini, and not worry about sending your company data through a middle layer of communication.\n\nWe think the future of AI is open, and we’re excited about building it.\n\n# **🙏 Asks**\n\n* Check out the [**Void editor**](http://voideditor.com/) and star us on GitHub!\n* If you’re interested in helping us build, join our [Discord](https://discord.gg/PspNkKG5wt) or shoot us an email. We rely on contributions, even small ones, and we’ll help you get up and running as a contributor!\n* Please share this post! Help spread the word that we’re building an open source Cursor alternative.",
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"question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
"answer": "Brian Chesky encouraged us to apply. He hired Shaun at Airbnb. We wish we had done it earlier, but in some ways, the timing of this couldn’t be better. Brian believes the position we are in is very similar to Airbnb's right before they joined YC. And even similar dynamics to when Justin Kan made the last-minute referral for Airbnb’s founders (Brian, Joe, and Nate) to join YC. Going through the batch has been an incredible experience. Garry, Ooshma, and Aaron are phenomenal partners to work with and boil down opportunities and challenges to overcome to their essence. We’ve made huge strides in the batch regarding product velocity and customer acquisition. We’ve signed a $1.3m customer term sheet with one of the most influential media brands during YC! "
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"answer": "Tom and I were collaborating on Covid-19 logistics applications leveraging AI models for HHS and the US DoD and the interfaces that prime USG integrators like IBM, SAP, and Deloitte produced were unusable. We saw an opportunity to develop integration and design standards for creating intelligent content leveraging models, and Capitol AI was born. We started the company with a contract from the 2nd largest health insurer in the US to automate data storytelling for their self-insured employer business line. We approached this problem with a mix of classical and bayesian statistical analysis and automating insight generation leveraging DBT. After GPT 3.5 was released we saw an opportunity to center our product stack around LLMs. We made a pivot away from healthcare and so that we could collect user data and feedback to move the product forward as quickly as possible. We now have built a product that is in high demand we just closed a $1.3m enterprise contract, with more to come. "
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"answer": "In the future, all content and data publishers will have an AI research layer. Capitol will be the category-defining product that unlocks this transformation, creating a more useful and personalized internet."
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"title": "Capitol AI - Create powerful content from data",
"tagline": "Infinitely smart research assistant + document editor that generates content from your data.",
"body": "Hey! We're Shaun and Tom from [Capitol AI](https://www.capitol.ai), and we’re thrilled to announce the launch of Capitol 2.0.\n\n# **TL;DR**\n\nAfter we got into YC, we asked ourselves: “What would Microsoft Word look like if it were built in the age of AI?” Our answer: A product that seamlessly combines deep research, generative images + text, and AI-assisted editing.\n\n[**This is Capitol 2.0**](https://www.capitol.ai)\n\n\n\n**The Business Problem**\n\nContent creation for business users is a slow, disjointed process involving multiple tools like search, proprietary databases, spreadsheets, slides, PDFs, and word processors. This complexity limits businesses with data-driven content creation workflows from scaling their content production and selling more products.\n\n# **Our Solution**\n\nCapitol simplifies content creation by integrating research and editing into one seamless experience—automating tasks to supercharge productivity.\n\nCapitol AI empowers enterprise customers with an API/SDK that automates the research and content creation process. It gives them the tools to personalize and scale their product offerings with less headcount.\n\n[**Watch the video**](https://www.youtube.com/watch?v=SFymrPfE-nk)\n\n# **B2B Customers**\n\n**Enterprise** \\\n[Politico](https://www.politico.com), the global authority on the intersection of politics, policy, and power has exclusively partnered with Capitol to empower all [Politico Pro](https://www.politicopro.com/) users with AI content creation for policy and regulatory analysis.\n\n**Startups & SMB**\\\nFor startups and small businesses with repeatable data-driven processes like Cloud GTM provider [Invisory](https://invisory.co/) and the innovative AI-powered grant platform [AI Grants](https://www.aigrants.app/), Capitol is automating the creation of **revenue-generating** business documents with our API-accessible artifact generation pipeline.\n\n\n\n# **Why Now?**\n\nIn a time when publishers are increasingly being courted by AI model builders for licensing deals, Capitol AI is arming the rebels—helping publishers compete for attention and grow their customer base by automating content generation from their high-value data. Capitol will be the category-defining product to unlock this transformation.\n\n\n\n# \n\n# **Tech**\n\nCapitol includes a proprietary model orchestration, eval framework, chain of thought reasoning, and RAG pipelines that work together to enable our customers to generate and iterate on content in our product or via API.\n\n# **How Capitol Works** \n\nRewrite, reformat, & transform your content\n\n\n\n\nType ‘/’ anywhere to generate new content in-line\n\n\n\n\nGenerate new content with a single click \n\n\n\n### **🙏🏽 Our asks**\n\n# **1\\. Try Capitol**\n\nHead to [www.capitol.ai](http://www.capitol.ai) and try Capitol today. \\\nGet 3 months free with the special YC discount code **FOUNDERMODE**\n\n# **2\\. Integrate Capitol Into Your Product!**\n\nCapitol’s embedded content generation will transform your application’s user experience with real-time RAG and document creation from your data. By leveraging Capitol’s API/SDK, you can drive more engagement with your product and have more time with your users. Common use cases include:\n\n* Give your users the ability to create bespoke reports and insights, pulling forward hard-to-find data\n* Turn enterprise document search into a content generation flow\n* Transforming your knowledge base or help center into a more helpful experience for your customers\n* Let your users create social media content directly on your site\n\nContact us at [founders@capitol.ai](mailto:founders@capitol.ai)\n\n\n\n# **Founders**\n\n* [Shaun Modi](https://www.linkedin.com/in/shaunmodi/), CEO. One of the first product designers hired at Airbnb. Worked side by side with CEO Brian Chesky crafting the user experience of Airbnb. Fmr Google, Fmr Nasa, named one of Business Insider's Top 75 Designers in Technology. BFA from RISD.\n* [Tom Hallaran](https://www.linkedin.com/in/tomhallaran/), CTO. Fmr Director US AI Center of Excellence, Fmr VP of engineering at acquired adtech startup Selectable Media, Initial technical lead and architect of the largest political payment app in US. Undergrad from Columbia.\n\n[X](https://x.com/usecapitol), [Linkedin](https://www.linkedin.com/company/capitolai/), [Instagram](https://www.instagram.com/capitol.ai/)",
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"tagline": "Expedites research by providing analysis in minutes to help investors gain an edge in the public markets.",
"body": "**tl;dr**\n\nAt Formula Insight, we’re launching our new equity research platform. It’s integrated with FactSet data and designed by a former Citadel investor and SpaceX engineer. Institutional investors use spreadsheets to manage billions of dollars for investments. However, key insights are lost when connecting the dots between complex Excel financial models with millions of cells and across hundreds of SEC filings, management transcripts, and research papers. \n\nFormula Insight expedites the research process by analyzing these critical documents in minutes to help investors gain an edge in the public markets.\n\n\n\n**The Problem**\n\nFinancial models in Excel are the backbone of every investment thesis. Still, the workflow between financial model analysis and other key research documents has been separate. Critical details are missed when drawing inferences between Excel data and paper documents, and the work to build the fact pattern for investment decisions is inefficient.\n\n**The Solution**\n\nUsers can accurately search through millions of cells and build the fact pattern within internal financial Excel models, all down to granular KPIs for custom benchmarking. They can also plot financial projections against consensus estimates and draw inferences across hundreds of documents, including transcripts and filings. All answers have source document references and are housed within a secure environment, ensuring that sensitive information remains protected.\n\nSign up [here](https://fwotrcm808u.typeform.com/to/cYqIrmWn) to get access.",
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"title": "Mica AI - AI Agents that Automate B2B Sales",
"tagline": "Helping SaaS sales teams close more deals.",
"body": "Hi everyone, we’re Achyuta, Jai, and Bharadwaj!\n\n**TLDR:**\n\n[**Mica**](https://usemica.com/) helps B2B sales teams close more deals by automating their entire sales follow-up process. Our AI agents analyze sales calls, generate tailored collateral, and follow up with prospects until the deal is closed.\n\n**The Problem:**\n\nThe best sales reps aren’t just great at selling—they are elite content creators. They crafted tailored collateral like decks, 1-pagers, and product demos to help champions advocate internally. However, creating this content often takes over 30 minutes per call, and with multiple calls a day, even the best reps can only prioritize a few clients, leaving others with subpar follow-ups and millions in lost deals.\n\n**Our Solution:**\n\nMica automates the sales follow-up process by generating deal-closing collateral in less than a minute. Our AI analyzes sales calls, extracts key insights, builds tailored collateral, and sends this to prospects in a centralized deal summary page.\n\n\n\n**Key Benefits**\n\n1. **Quicker Follow-up Time:** Mica creates personalized follow ups in under 1 minute. This lets top performers do A+ work on every deal and helps the rest of the team sell like a top performer.\n2. **Faster Sales Cycles:** The point of contact can easily review important information from the call, share it internally, and make decisions faster.\n\n**How it Works**\n\n1. **Upload:** Mica automatically pulls in your sales call from existing recording or notetaking tools.\n2. **Extract Key Insights:** Mica identifies the key points the prospect was most interested in.\n3. **Generate Tailored Collateral:** Mica creates tailored decks, product demos, and 1-pagers for each key topic.\n4. **Share:** Mica generates a shareable link containing all the collateral, which can be sent directly to the prospect in follow-up emails that Mica also creates.\n\nHere’s a demo of Mica that we created from an actual Mica sales call:\n\n\n\n**Our Ask:** We’re looking to onboard customers who want to automate and improve their sales follow-ups.\n\nWe’re looking for:\n\n* Sales reps and heads of sales at B2B SaaS companies.\n* Founders who are doing founder-led sales.\n\nAnyone who is interested can book a demo [**here**](https://calendly.com/achyutaiyengar/mica-15-minute-demo).\n\n\n\n",
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"title": "Village Labs - We help America’s businesses become employee owned",
"tagline": "We do this by helping businesses set up and manage an employee stock ownership plan, also known as, an ESOP.",
"body": "\n\n\\\nHello YC community & world,\\\n\\\nIt’s an exciting time! Turja and I are building [Village Labs](https://villagelabs.app/), a new firm that helps businesses become employee-owned by helping them set up and manage an employee stock ownership plan (ESOP).\\\n\\\nESOPs are federal retirement plans that enable companies to give their employees shares in the business in exchange for major tax benefits. They are NOT stock option plans, and no, we are NOT doing cap table management!\\\n\\\n**EMPLOYEE OWNERSHIP WILL BE BIG**\\\nThere are currently about 6,000 companies with an ESOP across the country — the popular names include Publix Supermarkets, Harpoon Brewery, and Recology (the maker of those black, blue, and green trash bins you see on every street in SF).\\\n\\\nEmployee ownership has been around for decades in America, but there’s going to be an explosion in the number of employee-owned businesses that are created in the next few years. There are a couple of reasons for this:\n\n1. **The Silver Tsunami:** 2\\.9M Baby Boomer business owners are going to sell their businesses in the next few years. Many of them will sell to their employees because they get a fair price, tax benefits, and the comfort of knowing their employees will be taken care of - things not guaranteed by traditional buyers like private equity.\n2. **Government support**: Congress and state legislatures are passing more legislation to encourage the creation of ESOPs. This largely looks like more tax benefits for ESOP businesses and owners who sell to an ESOP.\n3. **Mainstream awareness**: There’s been a surge in awareness of employee ownership in the last few years because of new press coverage. See: [Pete Stavros on 60 Minutes](https://www.cbsnews.com/news/private-equitys-unlikely-champion-for-giving-workers-a-leg-up-with-employee-ownership-60-minutes-transcript/), [Blackstone announcing its employee ownership initiative](https://www.wsj.com/finance/blackstone-to-grant-equity-to-most-employees-in-future-u-s-buyouts-3c5fed45), [major businesses announcing becoming employee owned.](https://www.wsj.com/articles/room-board-sets-up-employee-stock-ownership-plan-giving-workers-a-stake-6d214864)\n\n\\\n**WHAT IS VILLAGE LABS DOING?**\\\nAt Village Labs, we’re setting out to help create as many employee-owned businesses as possible. In terms of what we do, we help owners sell to their employees via an ESOP and then provide them with the tools they need to manage their plans. \\\n\\\n**HOW YOU CAN HELP**\\\nMost business owners don’t know that selling to their employees is an option (and one that commonly comes with the most financial benefits). We’re working to change that by building a nationwide network of partners with close connections to the many Boomer business owners who will retire soon. We work with these partners to educate owners on selling to their employees.\\\n\\\nIf you’d like to help, you could introduce us to…\n\n* Owners and executives at mid-sized businesses with 20+ employees and stable cash flows\n* Business brokerage firms (e.g. Transworld, Sunbelt Brokers, etc.)\n* Exit/estate planning firms + wealth managers\n\nAnd if you happen to be one of these, we’d love to talk to you.\n\n\\\n**WHY WE’RE EXCITED ABOUT EMPLOYEE OWNERSHIP**\\\nThe short answer is that being employee-owned is just a better way of doing business.\\\n\\\nHere’s the story of CHI Overhead Doors, a garage door manufacturer in rural Illinois. They’re not an ESOP, but their story highlights what makes employee ownership so awesome.\\\n\\\n[ ](https://www.youtube.com/watch?v=xJiugz-QPSA)\n\\\nThis isn’t an isolated, one-off thing. There are many stories out there of businesses that benefited from becoming employee-owned - and we’ve seen them personally. Turja and I have been on the road for a lot of YC this summer, visiting employee-owned businesses in places like Portland, Tuscon, and other cities across the country. One of the main things you notice is that the employees are noticeably happier, and the quality of service is excellent - likely because the employees have ownership in the business and, therefore, an incentive to see it succeed. It’s the same reason we, as founders, give shares to our employees.\\\n\\\nConsidering 70% of Americans [don’t like their jobs,](https://www.gallup.com/workplace/468233/employee-engagement-needs-rebound-2023.aspx?stream=science) and \\~50% [have no retirement savings](https://usafacts.org/data-projects/retirement-savings), we think widespread employee ownership would bring those numbers down. That’s why our goal is to create as many employee-owned businesses as possible. That means more people who enjoy their jobs, more retirement savings, and a more productive economy.\\\n\\\nAgain, most people don’t know that employee ownership is a thing, but wouldn’t we all be better off if they did? If you’d like to help us with this or are just curious to learn more, please do reach out!\\\n\\\nThanks for reading!\\\n\\\n\\-Roger & Turja",
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"full_name": "Rohan Sood",
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"title": "This YC-Backed Startup Automates Code Reviews and Documentation for Enterprises",
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"title": "Patched - Reliable AI for Regulated Operations",
"tagline": "Patched executes regulated workflows in hours instead of days, with full auditability and control.",
"body": "> TLDR; Patched is reliable AI for regulated operations, automating high-risk workflows like law enforcement, risk compliance and banking reconciliation for multi-billion dollar clients.\n\nHey everyone, I am [Rohan](https://linkedin.com/in/rohansood3107) - a second-time founder who want to help regulated operations teams automate mission critical tasks that they feel are too high-risk for AI.\n\n**Problem**\n\nThe biggest challenge with enterprise AI isn’t building smarter agents.\n\nIt’s operating them reliably.\n\nAs organizations deploy AI across customer support, banking operations, compliance, cybersecurity, and software engineering, they quickly discover that autonomous systems are probabilistic, constantly evolving, and difficult to control. They fail silently, business logic changes over time, and reliability - not capability - becomes the bottleneck.\n\nThat’s why we built Patched.\\\n\\\n**Solution**\n\nAn AI Operations platform for mission-critical enterprise workflows. We help organizations build, deploy, and continuously improve reliable AI workflows where correctness, security, and auditability matter.\n\n**How does it work?**\n\nPatched combines deterministic workflow orchestration with AI reasoning.\n\nRather than asking a single AI agent to solve an entire problem, workflows are decomposed into structured execution steps. AI is used where intelligence adds value, while deterministic execution handles orchestration, integrations, validation, and business rules.\n\nEvery workflow is continuously monitored using execution outcomes, human feedback, and operational signals, enabling it to improve over time instead of slowly degrading.\n\n**What makes Patched different?**\n\n* **Structured Reliability**\\\n AI is embedded inside deterministic workflows, making complex operations predictable, observable, and repeatable.\n* **Built for Regulated Operations**\\\n Complete audit trails, human approvals, policy enforcement, and secure deployment options make Patched suitable for banking, government, cybersecurity, and other high-trust environments.\n* **Continuous Improvement**\\\n Production outcomes become feedback. Workflows evolve through closed-loop learning rather than relying on static prompts or one-off tuning.\n* **Enterprise Flexibility**\\\n Deploy with leading commercial models or open-source models, on cloud or air-gapped infrastructure, while integrating with your existing systems.\n\nThe future isn’t autonomous AI. It’s **reliable AI operations** - where users can trust AI to execute business-critical work at scale.\n\n**Our Ask:**\n\n* If you’re exploring a high-risk, high-volume usecase for AI in the banking/financial space, [we’d love to talk](https://calendar.app.google/9tqzA4DCkUp6MBR18).",
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"title": "OrgOrg Screen Recording",
"tagline": "Stop using Loom, Screen recording is now part of the OrgOrg Suite",
"body": "\n\nThere are too many point wise SaaS products to run your org! Every couple of months, we knock off another one and include it in the OrgOrg suite. Today I'm excited to announce our Loom competitor, the Screen Recorder! 🚀\\\n[See a demo of in action, using the product itself](https://orgorg.com/recorder/33/34mxOUCLCWgqNYRUFZfnGk).\n\nWhether you need to record demos, pitches, bugs, or customer journeys, the Screen Recording app makes capturing and sharing information easy and engaging - connect OrgOrg to Slack to react with all your Slack emojis, too.\n\nIf you use loom today, this is an easy drop-in replacement. Now available to everyone, it streamlines communication and boosts productivity without paying for another product.\\\n\\\nThe OrgOrg suite now includes go/ links, an all-hands AMA, on-call, branded company new tabs, great employee profiles, an org chart, goals tracking, screen recording, and more is on its way. Let’s make all those internal tools work together better for WAY less.\n\nYou can sign up for a free OrgOrg account today at [orgorg.com](http://orgorg.com).",
"url": "https://www.ycombinator.com/launches/Mt7-orgorg-screen-recording",
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"id": 82924,
"title": "OrgOrg - The Organizational Productivity Suite",
"tagline": "Stop paying for all those pointwise internal tools",
"body": "\n\n**TLDR;**\n\nWe’re building all the internal operational tools you need to run your company, no matter the size. My first startup (Zenter YC W07), sold to Google and became Google Slides. We changed the way more than a billion people work, and I’m doing it again with OrgOrg. Try it [here](https://orgorg.us).\n\n**The Problem - There are too many SaaS pointwise solutions! Seriously.**\n\nThe world over-rotated to point solutions in SaaS. It’s not unusual to have 20+ minor SaaS products to do various organizational chores. It’s easy to see why this happened because you need different tools at different sizes, but it’s also not what users want. It’s expensive, annoying to manage, and none of them work together to create a better user experience.\n\n**The Solution - OrgOrg!**\n\nOrgOrg draws on 25 years of experience leading high-performing teams from founding to big tech. We're building a suite with all the internal SaaS tools that you need for each stage of your company. You save money, time, and they all work together nicely.\n\nFor early stage companies, [Go links](https://orgorg.us/apps/shortlinks), “Big Rock” [Goal tracking](https://orgorg.us/goals), and branded [New browser tabs](https://orgorg.us/apps/new-tab) (with countdowns to your next milestone — like Demo Day) are great ways to stay focused and efficient. For larger teams, add in [Profiles with personality](https://orgorg.us/apps/peopleprofiles), [Smart Groups](https://orgorg.us/apps/rosters) (eg, add all engineers to the #eng channel & eng@ group), [All Hands Q&A](https://orgorg.us/apps/qa), and smart [On-Call management](https://orgorg.us/apps/on-call) to fight the problems that come with the complexity of larger teams. Our roadmap is full of high utility internal apps and tools that build on each to help you run your company better. No matter the size of your org, you can be confident that the right internal tools will be in place when you need them.\n\nJust as no one buys Google Slides alone, buying just an All-Hands Q&A product isn’t enough. OrgOrg’s suite offers significantly more value than the sum of the parts of existing pointwise solutions. At $5/person/month, it's easy to get started and join over 400 organizations already using OrgOrg today.\n\n**Asks**\n\nWant your team to move faster at every size? [Sign up for OrgOrg and give it a try](https://orgorg.us).\n\nHave an internal app you’ve used before that you wish you could have at your company? Let me know at [wayne@orgorg.us](mailto:wayne@orgorg.us).",
"url": "https://www.ycombinator.com/launches/LZU-orgorg-the-organizational-productivity-suite",
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"created_at": "2024-08-11T18:00:46.391Z"
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"name": "Affil.ai",
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"long_description": "We build AI compliance for external marketing. For example, we work with major creators to ensure that their content meets credit card marketing guidelines.",
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"question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
"answer": "We help companies like [NextCard](https://nextcard.com/) ensure their content is up to date & compliant so that they can scale their marketing effortlessly. Compliance can be a significant blocker to growth and we help derisk a lot of the steps along the way."
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"full_name": "John Ta",
"title": "Founder/CEO",
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"full_name": "Vivek Olumbe",
"title": "Founder/CTO",
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"title": "🤖 Affil: AI Compliance for Financial Affiliate Marketing",
"tagline": "Enabling financial brands to expand marketing efforts & maximize revenue.",
"body": "**TLDR;** Financial affiliate programs struggle to ensure affiliates are compliant with brand guidelines, leading to limited growth opportunities. [Affil](https://affil.ai/) monitors affiliate content, enabling companies to expand marketing efforts and maximize revenue.\n\n_What is financial affiliate marketing?_ When you see content by The Points Guy or Forbes that talks about credit cards, checking accounts, etc, they get a kickback from the financial brand for anyone who successfully applies for the product.\n\n### ⚠️ The Problem\n\nFinancial institutions (e.g., Capital One) or consumer fintech companies (e.g., Acorns) want to grow their affiliate programs but are completely blocked by compliance barriers. However, it’s expensive and time-intensive to do manual affiliate compliance & management.\n\nOn the flip side, affiliates are also dissatisfied with these financial affiliate programs. The majority have to work with disorganized & outdated middlemen hired by financial brands who take a significant cut of payouts.\n\n### 🛠️ The Solution\n\nOur AI compliance software monitors affiliate content so that financial companies know exactly what’s being said about them so that they can expand their marketing efforts:\n\n* Track thousands of affiliate pages \n* Quickly identify compliance violations without needing human intervention\n* Create support tickets for every issue, so affiliates & brands can keep track of errors\n\nWe’re also improving the affiliate experience:\n\n* Offer higher payouts for conversions (since we have a lower cost structure)\n* Provide a beautiful user experience & working APIs\n* Proactively identify compliance risks & offer automated suggestions to minimize risk\n\nFor example (see below), the AMEX Gold Card underwent significant changes on July 27, 2024, but outdated affiliate content still exists on the internet (that’s not good). We caught this issue that both AMEX and Bankrate missed.\n\n\n\nThe big vision is to become the affiliate network that powers all financial institutions out there.\n\n### 🧍♂️Our Team\n\n\n\n[Vivek](https://www.linkedin.com/in/vivek-olumbe/) & [John](https://www.linkedin.com/in/johnta2000/) first met at Penn and cofounded the first personal finance nonprofit at 8 different colleges, accumulating 2.5k+ users and $25k+ in funding. Vivek is a full stack developer who worked for several startups shipping new products; John was previously in banking, strategy, and growth roles.\n\nAfter managing affiliate relationships in a prior role & being involved with credit cards for years (fun fact: he has 30 cards), John realized the financial affiliate marketing space was broken. \n\n### 🤝 Our Ask\n\n* **Leads:** Know anyone at a consumer finance company or publishers/content creators that write about credit cards/use affiliate links? We’d love an intro! \n* **Banking:** We are having particular struggles getting in contact with some of the key stakeholders at some of the major banks (think Chase, Wells Fargo, USAA…), so if you can make any warm intros to folks on the consumer banking side, I’ll buy you dinner!\n\nContact: founders@affil.ai",
"url": "https://www.ycombinator.com/launches/LjN-affil-ai-compliance-for-financial-affiliate-marketing",
"votes": 20,
"created_at": "2024-08-28T14:35:12.697Z"
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"id": 83176,
"title": "Affil - AI Affiliate Marketer 🤝",
"tagline": "Launch & scale affiliate programs with ease",
"body": "**TLDR;** Our AI Affiliate Marketer helps companies launch & scale affiliate programs at a fraction of the cost.\n\n**⛔️ The Problem**\n\nRunning a successful affiliate program is hard. Some common challenges brands face:\n\n1. Competing with thousands of other brands on networks like Impact, CJ, or Awin\n2. Reaching out to (many) content creators\n3. Vetting affiliates to avoid spam and fraud\n4. Ensuring affiliates follow brand guidelines, especially in regulated industries like financial services\n5. Managing a growing number of affiliate relationships\n\nThese inefficiencies lead to poor experiences for content creators, who can struggle to monetize their work or feel ignored by brands. Currently, the most common solution is to hire an agency or full-time staff, but that’s expensive.\n\n**🛠️ The Solution**\n\nOur AI-powered affiliate marketer can integrate into any stage of a company’s affiliate marketing journey:\n\n* Identify relevant content creators\n* Handle affiliate outreach, contracting, & onboarding \n* Monitor affiliate content to ensure it meets brand & compliance guidelines\n* Manage affiliate communications\n\n \n\n\n\nWe merge compliance & auditing directly into the affiliate marketing lifecycle:\n\n\n\nDon’t have an affiliate program set up yet? No worries—we’ll get that up and running for you. \n\nDo you have an affiliate program set up in-house or on Impact, CJ, Awin, or elsewhere? We can build on top of them to help grow your program (or we’ll help you migrate your existing program to our network).\n\n**🤝 Our Ask**\n\n* **Demo:** [Book a chat](https://calendly.com/john-affil/30min) & see if we can help you with your affiliate program needs.\n* **Leads:** Know anyone with an affiliate program? Put us in touch!\n* **Banking:** Have connections at major banks like Chase, Citi, or BOFA? We’re aiming to become a financial affiliate network and need help reaching key stakeholders.\n\nBlurb: Affil is building an AI affiliate marketer that can help you launch & scale your affiliate program, with compliance and monitoring built in. Contact [john@affil.ai](https://john@affil.ai) to see a demo from the founders.\n\n**🧍♂️Our Team**\n\nHi! We’re [John](https://www.linkedin.com/in/johnta2000/) & [Vivek](https://www.linkedin.com/in/vivek-olumbe/)— we cofounded a nonprofit together at Penn (2.5k+ members). Vivek is a full-stack developer who worked for several startups shipping new products; John was in strategy, banking, and growth roles and uncovered the outdated affiliate marketing space in his previous position.\n\n\n\n",
"url": "https://www.ycombinator.com/launches/LdY-affil-ai-affiliate-marketer",
"votes": 53,
"created_at": "2024-08-19T18:05:20.181Z"
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"name": "Arva AI",
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"all_locations": "New York City, NY, USA",
"long_description": "Arva AI is a Google backed research company deploying AI Agents for critical banking operations with industry-leading accuracy, from financial crime compliance to lending. Combining proprietary models with adaptive decisioning infrastructure, Arva enables large banks and financial institutions to automate high-risk decisions with greater consistency, effectiveness and control. Always hiring.",
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"body": "**Tl;dr** - We offer construction companies a single, AI-powered platform to streamline their entire business operations. From sales, estimating, project management, and materials management to finance, estimating, and CRM, our platform unifies these essential functions—traditionally spread across multiple systems—into one cohesive solution.\n\n---\n\n—\n\n👷♂️👷♀️🔧🚧👷♂️ Hi everyone, This is Sneha, KS, and Ayantika from Team MerlinAI!\n\n[KS](https://linkedin.com/in/kumar-siddhartha-44847516), a BITS Pilani grad and successful startup co-founder, and [Ayantika](https://linkedin.com/in/ayantika-dey-b8155b76), an IIT alumna and tech expert, bring extensive coding and product development expertise together, bringing about over a decade of technical expertise. [Sneha](https://linkedin.com/in/snehakumari), with over a decade of experience in supply chain management and lean manufacturing within the construction industry, has lived the pain of using ERPs in this industry.\n\n\n\n🚧 **Problem**: Construction companies today juggle 8-17 different software tools—Merlin AI eliminates that complexity. For the first time, firms can automate and manage every aspect of their projects within a single, intuitive system.\n\n🛠️ **Solution**: Merlin AI empowers modular and manufactured home builders with an advanced, AI-driven platform that integrates estimating, materials management, finance, project management, and CRM. Say goodbye to fragmented systems and hello to streamlined efficiency.\n\n\n\n📌🔨Merlin helps companies reduce\n\n* Manual work by 60%\n* Cut software costs by $10,000 monthly\n* Complete construction projects 3x faster.\n\n\n\n💰💰 **Opportunity**: \n\nWe're witnessing a perfect storm of factors: decades of stagnation in traditional ERP systems, a multi-billion-dollar industry built on misaligned incentives, and the transformative potential of AI. This confluence creates a rare cyclical opportunity for market upheaval. The last major shift in this space occurred in the 1990s with the advent of digital systems, and now, 30 years later, we're on the cusp of another seismic change. Customers are crying out for innovation, and as AI reshapes the landscape, early customer signals indicate an eagerness for smarter, more efficient systems. It's a unique window of opportunity that opens perhaps once in a multi-decade chance to redefine an entire industry's operational backbone.\n\n✨ **Our Ask**\n\nLeads: If you know of a construction company, offsite manufacturer, factory, builder, developer, or design firm wanting to improve their construction integration and project management, please send them to [snehak@merlinai.co](https://snehak@merlinai.co)\n\n📝 **Mention Us**: If you like what you see, share the love! Mention us in Slack groups, social media, or any community where construction companies, offsite builders, or startup founders gather.",
"url": "https://www.ycombinator.com/launches/LgF-merlinai-ai-powered-erp-for-construction",
"votes": 69,
"created_at": "2024-08-23T17:38:49.272Z"
}
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},
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"id": 29978,
"name": "SimCare",
"slug": "simcare",
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"website": "https://simcare.ai",
"all_locations": "New York City, NY, USA",
"long_description": "SimCare is an all in one solution for training clinical skills in healthcare and behavioral health. From AI avatars that you can speak with, feedback systems trusted by the top programs in the country, to site placements tools that help you show your skills and find a job. SimCare is used across the board to train counselors, social workers, doctors and nurses.",
"one_liner": "AI avatars to scale healthcare training.",
"team_size": 7,
"industry": "Healthcare",
"subindustry": "Healthcare",
"launched_at": 1719547782,
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"year_founded": 2024,
"city": "New York City",
"country": "US",
"linkedin_url": "https://www.linkedin.com/company/simcareyc",
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"name": "Nicolas Dessaigne",
"url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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"founders": [
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"user_id": 1053982,
"full_name": "Vrishank Saini",
"title": "Founder/CEO",
"founder_bio": "Vrishank Saini is a University of Chicago neuroscience undergrad with a knack for blending neuroscience and computer science to drive innovation in medical education. As the founder of Bioscope Wellness and Soma Lab, he's not just studying cross-disciplinary subjects—he's applying them, evidenced by his development of a mental health app that garnered national coverage and over 120,000 downloads.",
"is_active": true,
"linkedin_url": "https://www.linkedin.com/in/vrishanksaini/",
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{
"user_id": 2094245,
"full_name": "Tiko Bdoyan",
"title": "Founder/CTO",
"founder_bio": "Founder at Soma Lab passionate about educational technology and the future of learning. Previously, I was a Machine Learning researcher and a varsity wrestler at the University of Chicago.",
"is_active": true,
"linkedin_url": "https://www.linkedin.com/in/tigran-bdoyan/details/experience/",
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"jobs": [
{
"id": 91257,
"title": "Founding Engineer",
"url": "https://www.ycombinator.com/companies/simcare/jobs/DLY8bc9-founding-engineer",
"location": "New York, NY, US",
"type": "Full-time",
"role": "Engineering",
"role_type": "Full stack",
"salary_range": "$160K - $200K",
"equity_range": "0.50% - 1.00%",
"experience": "1+ years",
"visa": "US citizen/visa only",
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"news": [
{
"title": "Meet The Med School Dropouts Using AI To Train Clinicians",
"url": "https://www.forbes.com/sites/davidprosser/2025/02/27/meet-the-med-school-dropouts-using-ai-to-train-clinicians/",
"date": "Feb 27, 2025"
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],
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{
"id": 85622,
"title": "SimCare AI – Scaling Healthcare Training and Evaluation with AI Patients & Simulations",
"tagline": "Conversations with AI patients to scale clinical training.",
"body": "Hi everyone, we’re [Vrishank](https://www.linkedin.com/in/vrishanksaini/) and [Tigran](https://www.ycombinator.com/companies/soma-lab)[,](https://bookface.ycombinator.com/user/2094245) the team behind [SimCare AI](https://somalab.ai)**.**\n\n**tl;dr:** SimCare AI (prev. “Soma Lab”) creates AI-simulated conversations to scale healthcare training. Students and providers practice with our AI patients to build skills and get evaluated.\n\n**The Problem: Healthcare Training and Evaluation Isn’t Scalable**\n\nHealthcare still relies on slow, expensive methods like role-playing, in-person evaluations, and one-on-one interviews. These outdated approaches not only create bottlenecks in education and hiring but also cost institutions hundreds of thousands of dollars annually in faculty time, actor fees, and administrative overhead. Scaling these processes is critical, but traditional methods make it nearly impossible.\n\nWhile governments and accrediting bodies are pushing to expand healthcare workforces by increasing the number of schools and seats, the real bottleneck lies in non-didactic training. Schools have figured out how to scale lectures and coursework online, but they can’t scale the hands-on, interactive training required to meet competency-based accreditation standards like CACREP.\n\nAdding to the challenge, **it is illegal to practice counseling without direct clinical supervision** in the classroom or the proper licenses. Students can’t even practice these conversations with friends or family legally, which leaves schools dependent on expensive, resource-intensive methods like faculty supervised role-playing.\n\n# **The Solution: AI-Simulated Conversations at Scale**\n\nSimCare AI uses AI to create realistic, interactive conversations with patients that allow students and professionals to practice and be evaluated anytime, anywhere. Our simulations replace costly methods with scalable alternatives, saving institutions significant time and money. Our system provides a legal, scalable solution for hands-on training, enabling schools to bypass these restrictions, meet accreditation requirements, and expand rapidly without sacrificing quality.\n\nTherapy programs use SimCare AI to train students with AI patients, reducing reliance on actors. Companies use AI patients to assess job applicants and onboard new hires efficiently. Medical and social work programs prepare learners for real-world challenges without the need for resource-heavy manual evaluations.\n\nIn just **3 weeks**, we were able to close **30 pilots** with institutions like the University of Pennsylvania, Virginia Tech, University of Sydney, John Carroll University, and Western Carolina University.\n\n\n\n### For example:\n\n* **Therapy and counseling schools** use SimCare AI to replace role-playing exercises with our AI patients that simulate realistic therapy sessions. Students can practice conversations anytime and get evaluated instantly, helping programs scale without relying on limited and expensive faculty or actors.\n* **Teletherapy companies** use SimCare AI to screen job applicants by testing their skills with AI patients, ensuring quality candidates are hired faster and cost-effectively. They also use SimCare AI for internal training to ensure company standards.\n* **Social work programs** use SimCare AI to train students with AI families and patients, evaluate them on critical interactions, and provide targeted remediation when needed.\n* **Medical schools** use SimCare AI to teach students how to handle patient interactions before they see real patients.\n\n# **The Team**\n\nWe met at the University of Chicago after joining the same fraternity. Vrishank failed a clinical communications test and couldn’t afford the $9,000 tutor fee. So instead, we built an AI clinical communications coach. Vrishank's score shot up, so we said screw it and launched the tool. In 3 weeks, we hit $5k MRR and 2.5k users. Seeing the impact this would have if applied to all of healthcare, we decided to build the AI infrastructure for healthcare training and evaluation.\n\nWhile in high school, Vrishank created a healthcare education app, which scaled to 120,000+ downloads in 6 months. Tigran was the lead machine learning researcher in a bioinformatics lab at the Luddy School of Informatics.\n\n\n\n# **How You Can Help**\n\nShare this with anyone in healthcare or education who trains, hires, or evaluates students and professionals.\n\n\n\n",
"url": "https://www.ycombinator.com/launches/MH0-simcare-ai-scaling-healthcare-training-and-evaluation-with-ai-patients-simulations",
"votes": 41,
"created_at": "2024-11-16T23:39:10.900Z"
},
{
"id": 83640,
"title": "Soma Lab – Scaling clinical training with AI",
"tagline": "Helping medical schools and hospitals train students and doctors. They practice on our AI simulations before seeing real patients.",
"body": "Hi everyone, we’re Vrishank and Tigran[,](https://bookface.ycombinator.com/user/2094245) the team behind [**Soma Lab**](https://somalab.ai/)**.**\n\n**tl;dr:** Soma Lab helps medical schools and hospitals train students and doctors. They practice on our AI simulations before seeing real patients.\n\n**The problem: Medical education can't scale with outdated methods to meet the growing doctor demand.**\n\nThere’s a serious doctor shortage, and governments are responding by mandating increases in medical school seats. Schools are still relying on outdated, unscalable approaches like using actors to simulate patients one by one. Medical schools need solutions that can expand with this demand without losing quality—to fix this, we’re helping medical schools and hospitals scale clinical training with AI.\n\n**The Solution: Scalable clinical training with AI**\n\nSoma Lab scales clinical training with AI simulations that let students practice patient interactions, moving beyond the outdated methods. Our platform provides realistic, on-demand practice that adapts to the needs of medical schools, allowing them to train more students effectively without sacrificing quality. We’re solving the bottleneck in clinical education, making it scalable, flexible, and fit for the future.\n\n\n\n**The Team**\n\nWe met at the University of Chicago after joining the same fraternity. Vrishank failed a clinical communications test and couldn’t afford the $9,000 tutor fee. So instead, we built an AI clinical communications coach. Vrishank's score went up to the top quartile, so we said screw it and launched the tool. In 3 weeks, we hit $5k MRR and 2.5k users. Seeing the impact this would have if applied to all of healthcare, we decided to build the AI infrastructure for medical education.\n\nWhile in high school, Vrishank created a healthcare education app, which scaled to 120,000+ downloads in 6 months. Tigran was the lead machine learning researcher in a bioinformatics lab at the Luddy School of Informatics.\n\n\n\n**How You Can Help**\n\nWe're out to change medical training for the better, and we could use your help! Pass this along to folks in healthcare—whether they're doctors, medical/nursing students, hospital admins, or anyone in the medical education field.",
"url": "https://www.ycombinator.com/launches/Ll2-soma-lab-scaling-clinical-training-with-ai",
"votes": 144,
"created_at": "2024-08-31T15:14:00.615Z"
}
]
},
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"id": 29980,
"name": "Midship",
"slug": "midship",
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"website": "https://midship.ai/",
"all_locations": "San Francisco, CA, USA",
"long_description": "Midship is rebuilding internal audit from the ground up. We're starting with SOX testing by building AI agents that perform audit work end to end, giving auditors leverage to focus on higher-value risk and advisory work.",
"one_liner": "AI for SOX testing",
"team_size": 3,
"industry": "B2B",
"subindustry": "B2B -> Finance and Accounting",
"launched_at": 1722383379,
"tags": [],
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"top_company": false,
"isHiring": false,
"nonprofit": false,
"batch": "Summer 2024",
"status": "Acquired",
"industries": [
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"regions": [
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],
"stage": "Early",
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"app_answers": null,
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"url": "https://www.ycombinator.com/companies/midship",
"api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/midship.json",
"year_founded": 2024,
"city": "San Francisco",
"country": "US",
"linkedin_url": "https://www.linkedin.com/company/midshipinc/",
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"primary_partner": {
"name": "Diana Hu",
"url": "https://www.ycombinator.com/people/diana-hu"
},
"founders": [
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"user_id": 2088119,
"full_name": "Kieran Taylor",
"title": "Founder",
"founder_bio": "Photography nerd, competitive vimmer, mediocre tennis player. \n\nFrom the UK 🇬🇧\n\nEx-Deloitte, Amazon & Instacart.\n\nCo-founder of Midship - AI for SOX Testing",
"is_active": true,
"linkedin_url": "https://www.linkedin.com/in/kieranctaylor",
"x_url": "https://twitter.com/_kietay",
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},
{
"user_id": 1473312,
"full_name": "Aahel Iyer",
"title": "Founder/CPO",
"founder_bio": "Led UX teams at Lyft, Faire, and Dashworks.\n\nBuilt products across compliance, finance, and generative AI.\n\nCo-founder of Midship — AI for SOX testing.",
"is_active": true,
"linkedin_url": "https://www.linkedin.com/in/aahel-iyer-221999120/",
"x_url": "https://x.com/IyerAahel",
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},
{
"user_id": 710254,
"full_name": "Max Maio",
"title": "Founder",
"founder_bio": "Founder of Midship AI",
"is_active": true,
"linkedin_url": "https://www.linkedin.com/in/max-maio-897514195/",
"x_url": "https://twitter.com/max_maio",
"avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/442ec10e463bac87740f930ea127151ad21d48f6.jpg"
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],
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"news": [
{
"title": "Beyond Workflows: Building the Industry’s First Autonomous System for GRC",
"url": "https://optro.ai/blog/optro-acquires-midship",
"date": "May 06, 2026"
}
],
"launches": [
{
"id": 93785,
"title": "Midship - AI for SOX Testing",
"tagline": "Midship is the world’s first end-to-end platform for automating SOX testing",
"body": "**Hi YC**\n\nSOX testing is one of the most painful parts of being a public company. We built Midship to fix that.\n\nSince launch, multiple public companies have onboarded and are already cutting weeks of testing work down to hours.\n\nhttps://www.youtube.com/watch?v=aV0c_OQlHeg\n\n**The problem**\n\nSOX testing is an extremely expensive and time-consuming part of being public.\n\nCompanies either:\n\n* Spend millions outsourcing the work to consultants, or\n* Burn thousands of internal hours doing testing and documentation manually\n\nIn both cases, the results are the same: auditors being pulled away from higher-value risk and strategy.\n\n**The solution**\n\nWe built the first **end-to-end [SOX automation platform](https://midship.ai/sox)**.\n\nOur AI agents handle the heavy lifting\n\n* Running attribute tests like tie-outs and reconciliations across evidence\n* Linking and annotating support so every conclusion is transparently documented\n* Assembling audit-ready workpapers in the exact formats external auditors expect\n\nWe deliver this through the **two surfaces where SOX work happens**:\n\n* A **web app** for managing tests and documentation\n\n \n\n* A **native Excel add-in** for auditors who live in spreadsheets\n\n \n\n\n**What’s next**\n\nToday, Midship saves companies time on testing and documentation. Next on our roadmap, we’re focused on automating **evidence gathering itself**, reducing the hours teams spend just collecting data. This will set the stage for SOX testing to evolve from point-in-time exercises to **continuous monitoring.**\n\nIf you’re connected to internal audit or SOX teams, we’d love an intro.\n\nLearn more at [Midship.ai](https://midship.ai/).",
"url": "https://www.ycombinator.com/launches/OOf-midship-ai-for-sox-testing",
"votes": 12,
"created_at": "2025-09-15T06:10:15.223Z"
},
{
"id": 88714,
"title": "Midship - AI for Financial Auditors",
"tagline": "Midship accelerates financial audit procedures with AI agents",
"body": "Hi YC 🫡\n\nWe’re Kieran, Aahel and Max from Midship and we are building AI agents that accelerate financial audits. With Midship, you can go from a folder of 100 unorganized PDF documents to a draft work paper in minutes, rather than days.\n\nOur agents target low-complexity, document based auditing tasks, such as matching invoices to ledger items and checking correctness of dates on receipts. They collect and link evidence at every step, making all work quickly verifiable.\n\nOur launch video makes the bold claim that our platform will break up the stranglehold the Big 4 (Deloitte, EY, PWC, KPMG) have on the audit market:\n\n\n\n# **Problem**\n\n**Everyone gets audited**\n\nEvery public company in the US requires a yearly audit of their financial statements by an accredited auditor. These require an auditor to gather evidence that a company’s financial statements are accurate and complete, to a reasonable level of assurance.\n\n**Everything is a PDF**\n\nAs the auditor is external, getting the data invariably means receiving many PDFs of financial documents, such as invoices, purchase order and receipts. Until recently, there was no way to reliably extract and process the data from these documents, meaning a human had to go through each of the documents by hand.\n\n**Audit workflows are painful**\n\nBeyond the time spent on an individual audit, the audit profession as a whole is feeling the ramifications of these quality of life issues. One look at /r/accounting will show you the frustration auditors are feeling with long hours, especially during busy season (right now).\n\n# **Solution**\n\nWith the advent of modern vision language models (VLMs), we can extract data from these financial documents and process them as if we had a direct integration with the clients accounting and ERP systems.\n\nA task such as “find the correct invoice for each of these 50 samples” goes from hours of manual work to a few minutes of VLM processing.\n\nWe then go one level further with agents performing audit tests from plans written in natural language. For example, an auditor may plan to check that for each sample, “all amounts match between documents”. Midship performs this check, links to evidence in the source documents and highlights anything that requires review by an auditor.\n\n**We have a web app:**\n\n\n\n**And a native Excel add-in with all the same functionality:**\n\n\n\n# **Our ask**\n\nIf you have worked with a **auditor from outside the Big-4** in a current or recent role, we would _love_ to talk to them.\n\nContact us at: [founders@midship.ai](mailto:founders@midship.ai)\n\n\n\n",
"url": "https://www.ycombinator.com/launches/N4s-midship-ai-for-financial-auditors",
"votes": 28,
"created_at": "2025-03-17T19:08:43.978Z"
},
{
"id": 85135,
"title": "Midship - Extract & Structure Document Data",
"tagline": "Turn unstructured documents into clean business data - give it a try with your documents now!",
"body": "Hey YC! We're Aahel, Kieran, and Max from [Midship.](https://midship.ai/)\n\n### **TLDR**\n\n[**Click here**](https://app.midship.ai/demo/) **to try our playground!**\n\nBusinesses spend countless hours manually copying data from documents into spreadsheets, ERPs, and other business systems. Midship extracts data from any document into standardized formats that integrate with your existing business processes. Today, Midship powers diverse organizations from finance to biotech, saving enterprises countless hours of manual work daily.\n\n\n\n### **The Problem**\n\nAccountants spend almost 50% of their time on manual data entry. Supply chain managers manually process hundreds of shipping documents. Healthcare administrators copy-paste endless insurance forms. This list goes on.\n\nHighly skilled professionals are spending half their days on mindless data entry.\n\n### **The Solution**\n\nMidship eliminates this manual process. Here's how it works:\n\n* **Extracts** the data you need from any document\n* **Audit** each extracted value against the source on Midship\n* **View** all your extractions in Midship's structured data interface\n* **Export** data where you need - your excel templates, api integrations.\n\n\n\n### **How is Midship different?**\n\nWhile others simply pull raw data from documents, Midship transforms extracted data into the format you use for work. Whether column names don't match, source documents show monthly values but you need annual amounts, or layouts are inconsistent - you'll get clean, standardized data.\n\n\n\n### **Try It Now**\n\nVisit our [playground](https://app.midship.ai/demo/) to test it out with your own documents. We’ve preloaded it with industry-specific templates for annual reports, commercial invoices, legal contracts, etc.\n\n—\n\nBook a demo once you’re ready to try out the full Midship experience with your templates. We're so eager to learn about your business use cases and show you what’s possible.\\\nEmail us at [**founders@midship.ai**](mailto:founders@midship.ai)\\\n\\\nCheers!\\\n[**Aahel**](https://www.linkedin.com/in/aahel-iyer-221999120/), [**Max**](https://www.linkedin.com/in/max-maio-897514195/), and [**Kieran**](https://www.linkedin.com/in/kieranctaylor)",
"url": "https://www.ycombinator.com/launches/M99-midship-extract-structure-document-data",
"votes": 24,
"created_at": "2024-10-29T21:20:08.636Z"
},
{
"id": 82857,
"title": "Midship - Extract documents straight to your spreadsheets",
"tagline": "Complex docs in, organized data out.",
"body": "Hey YC! We're Aahel, Kieran, and Max from [Midship](https://midship.ai/).\n\nWe became friends while working together at our previous company. We grew up in different corners of the world, but quickly found common ground over intense FIFA matches, Blue Bottle Coffee and love for building impactful software. We're so thrilled to be on this journey.\n\n### **TLDR**\n\n[Midship](https://midship.ai/) extracts information from complex documents and inputs it directly into your preferred spreadsheets, significantly reducing manual data entry.\n\n### **The Problem**\n\nEnterprise professionals waste hours manually extracting data from documents into spreadsheets. Whether it's loan applications or legal contracts, this process steals hours from valuable analysis.\n\n\n\n### **Our Solution**\n\n1. Upload your source documents (PDFs, reports, etc.)\n2. Upload your target spreadsheet template\n3. Midship extracts the required data and maps it to your template\n4. Download your fully populated spreadsheet, ready for analysis in minutes\n\n### **See it in action**\n\n\n\n### **Our Ask**\n\nKnow senior finance professionals in these areas?\n\n* Hedge Funds or Asset Management\n* Investment Banking\n* Private Equity\n\nWe've made it easy to help! Just drop their names, LinkedIn URLs, or emails in our [quick form](https://docs.google.com/forms/d/e/1FAIpQLSe3RzZv29hfRpB3mZwGliL8LfjIYKINtVQAgFyt1Cn2QRcGMQ/viewform?usp=sf_link). Your referrals are incredibly valuable to us as we grow.\n\n### **We are launching a Startup Tier**\n\nWe're excited to introduce our Startup Tier, designed to support early-stage companies. While we're starting small to ensure quality support, we'd love to hear from you if you're moving data from PDFs to Excel/GSheets or structured JSONs.\n\nWe're eager to learn about your needs and help however we can. \\\nEmail us at [founders@midship.ai](mailto:founders@midship.ai) \\\n\\\nCheers!\\\n[Aahel](https://www.linkedin.com/in/aahel-iyer-221999120/), [Max](https://www.linkedin.com/in/max-maio-897514195/), and [Kieran](https://www.linkedin.com/in/kieranctaylor)\n\n\n\n",
"url": "https://www.ycombinator.com/launches/LYP-midship-extract-documents-straight-to-your-spreadsheets",
"votes": 23,
"created_at": "2024-08-08T20:03:39.127Z"
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"name": "Bits to Atoms",
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"all_locations": "",
"long_description": "Filling roles at deep technology startups with very specialized requirements is extremely difficult.\r\n\r\nWe streamline this process by matching job seekers to roles and fill skill gaps where necessary.",
"one_liner": "Match job seekers to roles at deep technology startups.",
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"industry": "Consumer",
"subindustry": "Consumer -> Job and Career Services",
"launched_at": 1724128854,
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"full_name": "John Robison",
"title": "Founder",
"founder_bio": "Working with startups @ Anthropic!",
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"linkedin_url": "https://www.linkedin.com/in/john-robison-b891a7303?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app",
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"full_name": "Shaashwat Sharma",
"title": "Founder",
"founder_bio": "Connecting mission-driven companies with mission-aligned talent.",
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"id": 83242,
"title": "Standard Data - AI Data Analyst for manufacturers",
"tagline": "Our AI analyst leverages manufacturing firms' data to suggest optimal decisions.",
"body": "### **Intro**\n\nHi, we’re [John](https://www.linkedin.com/in/john-robison-b891a7303?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app) and [Shaashwat](https://www.linkedin.com/in/shaashwat-sharma-b0a516195)! We worked together at Palantir in the manufacturing vertical, where John focused on industrial chemicals while Shaashwat worked on commercial defense. Our work on the ground exposed some incredible risks to American advanced manufacturing, particularly around how data is managed (or mismanaged) in an operational context.\n\n\n\n### **Problem**\n\n* Data is stored in many formats, including various ERPs, PDFs, Word documents, and Excel files, across multiple different systems on the factory floor.\n* This setup makes it difficult to answer basic questions, and answers are more often found in the heads of subject matter experts rather than in an easily accessible, uniform platform.\n\n### **Solution**\n\nOur solution enables manufacturers to:\n\n* Auto-integrate their disparate data into a singular knowledge base\n* Query this knowledge base in natural language to provide visibility across their core processes.\n* Implement workflows on top of this knowledge base to increase automation and improve overall decision-making.\n\nBy capturing and leveraging operational knowledge more effectively, this will ensure American manufacturing can continue to expand capacity in the coming decades.\n\n### **Why Now?**\n\n* A wave of retirements, coupled with insufficient incoming skilled labor, will open up an estimated [**2\\.1 million unfilled advanced manufacturing roles by 2030**](https://nam.org/2-1-million-manufacturing-jobs-could-go-unfilled-by-2030-13743/).\n* This knowledge loss necessitates increased efforts to automate processes and manage data more effectively to ensure these factories continue running at full capacity.\n\n### **Curious for More?**\n\nThanks for reading! If you would like to get in touch to ask questions or offer feedback, please email us directly at [**founders@standarddata.com**](mailto:founders@standarddata.com), or [**schedule a meeting**](https://app.cal.com/event-types/928461?tabName=setup).\n\n\n\n",
"url": "https://www.ycombinator.com/launches/Lec-standard-data-ai-data-analyst-for-manufacturers",
"votes": 46,
"created_at": "2024-08-20T20:14:04.139Z"
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"website": "https://www.getpathpilot.com/",
"all_locations": "San Francisco, CA, USA",
"long_description": "Today, onboarding, servicing, and collections still depend on large human teams — which means operations scale linearly with loan volume. PathPilot deploys specialized AI agents that handle 60–80% of high-volume operational workflows, turning human-heavy processes into scalable software. These agents operate alongside internal teams — embedded directly into existing systems. This allows lenders to grow loan volume and revenue without proportional headcount growth. ",
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"full_name": "Victor Laguna",
"title": "Founder/CTO",
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"id": 105486,
"title": "PathPilot - AI Platform for Lenders",
"tagline": "AI agents that help lenders grow without scaling operational headcount.",
"body": "Today, we’re launching PathPilot Agents for Lending: specialized AI agents that help consumer lenders automate origination, servicing, collections, and quality on their operations.\n\n## The problem\n\nConsumer lenders need to grow, but lending operations are still expensive, manual, and dependent on large internal teams and external vendors.\n\nBorrowers are often asked to submit the same information multiple times, wait for manual reviews, and navigate disconnected processes across origination, servicing, and collections.\n\nFor lenders, this means higher operating costs, slower decisions, inconsistent customer experiences, and difficulty scaling without adding more headcount.\n\nCurrent AI solutions are not enough. Without specialization, guardrails, and the right operational context, agent quality breaks down—especially in regulated, customer-facing workflows.\n\n## What we built\n\nPathPilot builds specialized AI agents for lending operations, powered by a proprietary harness that connects AI models directly to each lender’s workflows, systems, policies, and data.\n\nIt starts with the **Origination Agent**, which guides borrowers through WhatsApp or web forms, collects the right information, pre-verifies documents, and connects with underwriting, identity, and fraud systems to support faster decisions.\n\nOnce the loan is active, the **Servicing Agent** helps customers with payments, balances, questions, and account updates across voice, WhatsApp, chat, and email.\n\nWhen a payment is missed, the **Collections Agent** follows up compliantly, keeps full conversation and account context, connects with call center and CRM systems, and negotiates next steps to drive resolution.\n\nBehind every workflow, the **Audit and Quality Agent** reviews every interaction and action, identifies quality or compliance risks, and provides actionable feedback that helps both human teams and AI agents improve continuously.\n\n\n\n## One agent or a coordinated workforce\n\nLenders can start with a single agent for one workflow or deploy a coordinated workforce of agents that work together and share context.\n\nFor example, the Origination Agent can pass a customer’s application history to the Servicing Agent. If the account later becomes delinquent, the Collections Agent can use the same operational context rather than starting the relationship from zero.\n\nThe Audit and Quality Agent works across the entire system, creating a continuous feedback loop that improves accuracy, customer experience, and compliance.\n\nBecause PathPilot is built on a modular framework, internal AI and engineering teams can extend, customize, and ultimately own the system as their capabilities grow.\n\nWe do not want lenders to become permanently dependent on another black-box vendor. We want to give them a reliable foundation for building and operating their own AI workforce.\n\n## Why we built this\n\nThe problem became personal when I tried to finance my first car after moving to the U.S.\n\nI had no local credit history and very little understanding of how the process worked. I went through a long and frustrating process in which multiple lenders manually reviewed my application, repeatedly requested information, and ultimately offered me a loan with very high fees.\n\nToday, as a real estate investor, I still experience many of the same problems when applying for a mortgage or refinancing a property. The process remains slow, repetitive, and difficult to navigate—even when you understand how lending works.\n\nThere needs to be a better way.\n\nBefore PathPilot, David and I spent years building and operating AI first products at Meta. We learned that making AI work reliably in production requires much more than choosing a model. It requires integrations, evaluations, guardrails, feedback loops, and deep operational context.\n\nWe started PathPilot to bring that infrastructure to lending—so lenders can operate more efficiently and borrowers can receive a faster, clearer, and more responsive experience.\n\n## Where we are today\n\nPathPilot agents are already supporting fintech lenders, BNPLs, embedded lending platforms, and collections organizations across the U.S. and Latin America.\n\nOur customers use PathPilot for workflows including conversational origination, document validation, servicing, collections, and quality assurance.\n\n## Our ask\n\nWe would love to speak with:\n\n* Consumer lenders, BNPLs, neobanks, and embedded lending companies\n* Operations, servicing, collections, risk, and compliance leaders\n* Lending platforms interested in offering specialized AI agents to their customers\n* Internal AI teams looking for a framework they can customize and eventually own\n\nBook a demo at [getpathpilot.com](http://getpathpilot.com).",
"url": "https://www.ycombinator.com/launches/RRO-pathpilot-ai-platform-for-lenders",
"votes": 10,
"created_at": "2026-07-13T16:26:42.554Z"
},
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"id": 83625,
"title": "PathPilot: The AI model that understands session replay data",
"tagline": "Use our API to make your session replays useful",
"body": "At [PathPilot](https://www.getpathpilot.com/), we are building an AI model (called UXOB) that accurately captures how users interact with software products. We are now making UXOB available via API to a select group of early partners. Email [founders@getpathpilot.com](https://mailto:founders@getpathpilot.com) or [schedule a call](https://calendly.com/vlad-getpathpilot/30min) if you are interested in learning more. \n\n\n\n### What is it?\n\nUXOB is an AI model that ingests session replay files and generates user session data like narratives, summaries, tags, and alerts. \n\n\n\n### Why are we building UXOB?\n\nMost session replays end up unused, despite containing invaluable information about user experiences. UXOB helps companies unlock the hidden potential of their user experience data to power new features and automation. \n\n### Who did we build UXOB for?\n\nUXOB is built for companies that offer session replays as part of their platform. Our API is designed to be compatible with rrweb-based providers, and we are expanding to other formats. We also support companies with an existing session replay provider that want to build custom automations or features based on their user journeys. \n\n### How do you get started?\n\nWe’re opening up UXOB to a select group of early partners. If you’re interested in incorporating AI-driven session replay observation into your product offering or internal workflows, get in touch with us at [founders@getpathpilot.com](mailto:founders@getpathpilot.com) or [book a time](https://calendly.com/vlad-getpathpilot/30min). \\\nThank you!\n\nVlad and Victor",
"url": "https://www.ycombinator.com/launches/Lkn-pathpilot-the-ai-model-that-understands-session-replay-data",
"votes": 58,
"created_at": "2024-08-30T19:19:31.594Z"
}
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"name": "Syntra",
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"website": "https://www.syntra.com",
"all_locations": "San Francisco, CA, USA",
"long_description": "Syntra’s mission is to make healthcare faster, starting with healthcare payments.\r\n\r\nSyntra Autonomous, our first product, automates pre-bill chart review, claim review, and submission.\r\n\r\nIn the 12 months since launch, Syntra Autonomous has processed more than 1 million patient encounters and over $200 million in insurance collections across hundreds of practice locations nationwide.\r\n\r\nIf you’re interested in building toward infinitely fast healthcare, reach out!",
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"team_size": 10,
"industry": "Healthcare",
"subindustry": "Healthcare -> Healthcare IT",
"launched_at": 1723733582,
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"full_name": "Ayush Jain",
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"full_name": "Aniketh Kolla",
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"title": "Healthcare Enterprise Full Cycle Account Executive",
"url": "https://www.ycombinator.com/companies/syntra/jobs/mghppvZ-healthcare-enterprise-full-cycle-account-executive",
"location": "San Francisco, CA, US / Remote (US)",
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"full_name": "Jackson de Campos",
"title": "Founder",
"founder_bio": "Conductor lets you run a team of coding agents on your Mac. We’re building the human interface to AI organizations.",
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{
"id": 84039,
"title": "Product Engineer",
"url": "https://www.ycombinator.com/companies/conductor/jobs/MYjJzBV-product-engineer",
"location": "San Francisco, CA, US",
"type": "Full-time",
"role": "Engineering",
"role_type": "Full stack",
"salary_range": "$175K - $350K",
"equity_range": "",
"experience": "Any (new grads ok)",
"visa": "Will sponsor",
"skills": []
},
{
"id": 84041,
"title": "Design Engineer",
"url": "https://www.ycombinator.com/companies/conductor/jobs/cMJKjGy-design-engineer",
"location": "San Francisco, CA, US",
"type": "Full-time",
"role": "Engineering",
"role_type": "Frontend",
"salary_range": "$200K - $350K",
"equity_range": "",
"experience": "3+ years",
"visa": "Will sponsor",
"skills": []
},
{
"id": 94130,
"title": "Backend Engineer",
"url": "https://www.ycombinator.com/companies/conductor/jobs/gPiaCGr-backend-engineer",
"location": "San Francisco, CA, US",
"type": "Full-time",
"role": "Engineering",
"role_type": "Backend",
"salary_range": "$200K - $350K",
"equity_range": "",
"experience": "3+ years",
"visa": "Will sponsor",
"skills": []
}
],
"news": [
{
"title": "Conductor is The Tool the Best Engineers Are Using Right Now",
"url": "https://www.youtube.com/watch?v=u2z44EkIEHE",
"date": "May 08, 2026"
},
{
"title": "Conductor’s Series A | Conductor Blog",
"url": "https://www.conductor.build/blog/series-a",
"date": "Mar 30, 2026"
}
],
"launches": [
{
"id": 93356,
"title": "Conductor — Run a bunch of Claude Codes in parallel",
"tagline": "Conductor lets you run a bunch of Claude Codes all at once, on your Mac.",
"body": "Back in June, we started doing most of our dev work through Claude Code. It’s been so productive we [declared it a member of the team](https://x.com/charliebholtz/status/1935029747815432505).\n\nWe immediately wanted to get _more_ Claude, but the tooling was tedious. At one point we tried cloning our repo into three directories and running Claude in each of them, but it felt like driving a Subaru with a jet engine strapped on.\n\nWe needed a tool that would push Claude to its limits and that we’d enjoy working in all day.\n\nSo we built Conductor!\n\nhttps://www.youtube.com/watch?v=VsWWy2kVpa8\n\nOther people seem to like it too:\n\n\n\n### **How it works**\n\n**In one click, start a new Claude in an isolated copy of your codebase.**\n\nWe integrate with Linear so you can easily start work on your issues.\n\n\n\n**See at a glance what every Claude is working on.**\n\n\n\n**Review Claude’s changes, create PRs, and merge!**\n\n\n\n### **Start Conducting**\n\n\n\nIt's free—we use your existing Claude Code login. You can [download for Mac now](https://conductor.build).\n\nCan’t wait to hear what you think!",
"url": "https://www.ycombinator.com/launches/OHk-conductor-run-a-bunch-of-claude-codes-in-parallel",
"votes": 23,
"created_at": "2025-08-27T01:23:48.913Z"
},
{
"id": 83684,
"title": "Melty: Open source AI code editor for 10x engineers",
"tagline": "Melty is the first editor that’s aware of what you’re doing from the terminal to GitHub and collaborates with you to write production-ready code.",
"body": "Hi everyone! We’re Charlie and Jackson. We’re longtime friends who met playing ultimate frisbee at Brown.\n\n\n\n[Charlie](http://charlieholtz.com/) comes from [Replicate](https://replicate.com/), where he started the Hacker in Residence team and [accidentally struck fear](https://www.businessinsider.com/david-attenborough-ai-video-hollywood-actors-afraid-sag-aftra-2023-11) into the heart of Hollywood. [Jackson](https://jdecampos.com/) comes from Netflix, where he [built machine learning infrastructure](https://netflixtechblog.com/scaling-media-machine-learning-at-netflix-f19b400243) that picks the artwork you see for your favorite shows.\n\nWe’ve used most of the AI coding tools out there, and often ended up copy-pasting code, juggling ten chats for the same task, or committing buggy code that comes back to bite us later. AI has already transformed how we code, but we know it can do a lot more.\n\nSo we’re building [Melty](https://melty.sh/), the first editor that’s aware of what you’re doing from the terminal to GitHub and collaborates with you to write production-ready code.\n\nWe’ve been working on Melty for 28 days, and it’s already writing about half of its own code. It can…\n\n_(all demos real-time)_\n\n**Refactor code across files**\n\n\n\n**Create web apps from scratch**\n\n\n\n**Navigate large codebases**\n\n\n\n**Write its own commits**\n\n\n\nWe’re designing Melty to\n\n* Help you understand your code better, not worse\n* Watch every change you make, like a pair programmer\n* Learn and adapt to your codebase\n* Integrate with your compiler, terminal, and debugger, as well as tools like Linear and GitHub\n\nOur asks:\n\n1. Try Melty ([melty.sh](http://melty.sh)) and tell us what you think. It’s a fork of VS Code, so it’s compatible with all your settings and extensions.\n2. Tell us: what AI coding tools do you use, what do you like about them, and what’s frustrating? [DM Charlie](https://x.com/charliebholtz) or send us an email at [founders@melty.sh](mailto:founders@melty.sh).",
"url": "https://www.ycombinator.com/launches/Llk-melty-open-source-ai-code-editor-for-10x-engineers",
"votes": 30,
"created_at": "2024-09-02T18:38:26.522Z"
}
]
},
{
"id": 29990,
"name": "DreamRP",
"slug": "dreamrp",
"former_names": [],
"small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3b03e14b8a7d809f05b6579c758dc4fbbe6ff821.png",
"website": "https://www.dreamrp.com/",
"all_locations": "San Francisco, CA, USA",
"long_description": "AI entertainment feels like slop because companies bet on technology instead of people.\r\n\r\nCompanies chase tech because it usually lets them win. But what fans love has never been about the tech.\r\n\r\nA fan doesn’t fill their apartment with posters because of the lens a movie was shot on. They do it because of the mind behind the camera.\r\n\r\nAI is a power-up. In the wrong hands, more and more of what you see becomes sludge. In the right ones, the good stuff wins.\r\n\r\nDreamRP builds for creatives, from indie artists to global stars, because they’ve always been the real reason fans love what they love.\r\n\r\nIf you get it, message me why.",
"one_liner": "Tech and platforms for human creators and the entertainment industry",
"team_size": 2,
"industry": "Consumer",
"subindustry": "Consumer",
"launched_at": 1724999023,
"tags": [
"Generative AI",
"Consumer",
"Entertainment",
"AI"
],
"tags_highlighted": [],
"top_company": false,
"isHiring": false,
"nonprofit": false,
"batch": "Summer 2024",
"status": "Active",
"industries": [
"Consumer"
],
"regions": [
"United States of America",
"America / Canada"
],
"stage": "Early",
"app_video_public": false,
"demo_day_video_public": false,
"app_answers": null,
"question_answers": null,
"url": "https://www.ycombinator.com/companies/dreamrp",
"api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/dreamrp.json",
"year_founded": 2024,
"city": "San Francisco",
"country": "US",
"linkedin_url": "https://www.linkedin.com/company/dreamrp",
"x_url": "https://x.com/dreamrpofficial",
"fb_url": "https://www.facebook.com/people/Dream-RP/61564171643804/",
"cb_url": null,
"github_url": null,
"logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3b03e14b8a7d809f05b6579c758dc4fbbe6ff821.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": 596461,
"full_name": "Phillip Huang",
"title": "Founder/CEO",
"founder_bio": "Phillip is the co-founder and CEO of DreamRP.\n\nHe studied Computer Science at Harvard and worked as a Software Engineer and Data Scientist at Meta, where he increased revenue by 6% (~$1B per annum) with US Patent #10,713,094.\n\nPhillip built video games with 3k+ reviews and fan community forums when he worked for What Pumpkin, the company behind Homestuck, a widely popular webcomic with over 1 million unique daily readers.",
"is_active": true,
"linkedin_url": "https://linkedin.com/in/philliphuang",
"x_url": "",
"avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c918c28fe61e59a0b37c3dabaa5b441c859c641d.jpg"
}
],
"jobs": [],
"news": [],
"launches": [
{
"id": 83756,
"title": "DreamRP: Character.ai meets Patreon",
"tagline": "DreamRP lets creators earn money by turning their characters into chatbots.",
"body": "### What is DreamRP?\n\n[DreamRP](https://www.dreamrp.com/) lets creators earn money by turning their characters into chatbots. For example, George R.R. Martin could charge fans to chat with a Jon Snow bot.\n\n### TL;DR\n\nAI roleplaying is wildly popular, but no existing platform focuses on the most impactful component of the experience: the creators who make the characters. With a more ethical implementation of AI and the right creation and monetization features, DreamRP has unlocked AI roleplaying for the most talented and successful creators.\n\n### What’s up with AI roleplaying?\n\nAI-driven roleplaying chatbots are going through a weird phase right now—grassroots demand for the experience has nearly outpaced the platforms that provide it. Offerings from companies like [Character.ai](https://character.ai/) and even Meta’s new [AI Studio](https://ai.meta.com/ai-studio/) emphasize practical GPT-like assistants, but leaderboards are filled with fantasy heroes, movie villains, and anime waifus. On their coattails are many scrappier alternatives (even the small ones reach hundreds of thousands in ARR), as well as an enthusiastic open-source community [fine-tuning their own roleplaying models](https://www.reddit.com/r/LocalLLaMA/comments/1bv2p89/new_rp_model_recommendation_the_best_one_so_far_i/) for home-brew solutions like [SillyTavern](https://sillytavernai.com/). It’s no surprise that 12 of the top 20 applications using [OpenRouter](https://openrouter.ai/) this month and [6 of the top 20 Gen AI web products](https://a16z.com/100-gen-ai-apps-3/) are mainly used for AI roleplaying.\n\n\n\n### What they’re all missing: a creator focus\n\nCompeting in such a crowded space is challenging. With open source now advancing the frontier with models like [Flux.1](https://blackforestlabs.ai/) and [Llama 3.1](https://llama.meta.com/), once-rare levels of performance and innovative features are becoming commonplace. Pushing the boundaries of uncensored content frequently [leads](https://www.reddit.com/r/CharacterAi_NSFW/comments/1d9fz5f/yodayo_removing_nsfw_content_and_now_its_garbage/) to an [early death](https://www.reddit.com/r/aisekai/comments/1afim30/aisekai_is_shutting_down/?rdt=55501). User acquisition ads that were previously effective are now being [priced out](https://web.swipeinsight.app/posts/temu-s-ad-surge-sparks-dtc-turmoil-unraveling-meta-s-ad-cost-chaos-4612).\n\nAll of these platforms neglect a crucial component of the roleplaying experience: the creators who make the characters. Even with the best models and features, refining the character prompt, image, and scenario to be engaging takes effort and imagination, and users frequently need to dig through junk to find a character that performs well. When the tech is commoditized, the platform with the best creators has the best content and, therefore, the best product.\n\n### Untapped potential\n\nWhere are the best creators? Despite fans' demand for their content, the artists, authors, and other creators who traditionally make works of fiction are nowhere to be seen on these platforms. To them, current platforms are actually taboo: so marred by ethical concerns over industry usage of AI-generated art and the scraping of training data that even being associated with AI would [ostracize them from the creative community](https://x.com/Yuumei_Art/status/1813861897198096886). \n\n\n\nWhat users are left with are inconsistent fan-made renditions of popular characters and a lack of community around the content itself. Stigma over using roleplaying chatbots has limited the sharing and discussion of these experiences in the vibrant fandoms surrounding these creators and their works.\n\n### Enter DreamRP\n\n\n\nWe are [Phillip](https://linkedin.com/in/philliphuang) and [Nina](https://www.linkedin.com/in/nina-hu-91a53577/), and we built [DreamRP](https://www.dreamrp.com/) to empower creators in the AI roleplaying landscape. With an implementation of AI that addresses the ethical concerns of the creative community, specialized creation tools, and monetization features that reward creators for their work, DreamRP removes the barrier separating creators and their fans. With our platform, creators who previously would’ve been canceled for even mentioning the syllables “A” and “I” in adjacent sentences have onboarded onto our platform, created characters, and publicly promoted them to their fans on social media. Join us as we transform this exciting new medium of entertainment with the most talented creators and their immensely passionate fanbases.\n\n# **If you’re a creator—or know someone who is—come check us out at **[**dreamrp.com**](https://www.dreamrp.com/)** or get in touch at **[**founders@dreamrp.com**](mailto:phillip@dreamrp.com)**.**\n\n\n\n",
"url": "https://www.ycombinator.com/launches/Lmu-dreamrp-character-ai-meets-patreon",
"votes": 24,
"created_at": "2024-09-04T17:55:01.817Z"
}
]
},
{
"id": 29992,
"name": "Outerport",
"slug": "outerport",
"former_names": [
"haipera",
"Haipera",
"Outerbasis"
],
"small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d2fd2342d3ea6b9592dfb0ad90c6249ad7c9ee05.png",
"website": "https://outerport.com",
"all_locations": "San Francisco, CA, USA",
"long_description": "We’re about to see an influx in the AI-led discovery of new medicines, specialty chemicals, and materials. This means the bottleneck will shift from R&D, to the scale-up of these new recipes. Unfortunately, designing these production systems and making sure they can be operated safely is an expensive and labor-intensive ordeal that involves thousands of pages of drawings where one mistake can cause millions of dollars in rework or even disasters. Outerport solves this by helping engineering firms automate the design of the industrial control systems needed for production scale-up, using a domain-specific language for electrical design with thousands of unit tests that verify performance, and building simulators that can ingest already built schematics of plants to help automate comissioning and help train operators to prevent costly mistakes.",
"one_liner": "Design automation for industrial electrical controls",
"team_size": 4,
"industry": "B2B",
"subindustry": "B2B -> Engineering, Product and Design",
"launched_at": 1721673756,
"tags": [
"Hardware",
"Design",
"Manufacturing",
"Industrial"
],
"tags_highlighted": [],
"top_company": false,
"isHiring": true,
"nonprofit": false,
"batch": "Summer 2024",
"status": "Active",
"industries": [
"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/outerport",
"api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/outerport.json",
"year_founded": 2024,
"city": "San Francisco",
"country": "US",
"linkedin_url": "https://www.linkedin.com/company/outerport",
"x_url": "https://x.com/outerport",
"fb_url": null,
"cb_url": null,
"github_url": null,
"logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d2fd2342d3ea6b9592dfb0ad90c6249ad7c9ee05.png",
"app_video_url": null,
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"company_photos": [],
"primary_partner": {
"name": "Brad Flora",
"url": "https://www.ycombinator.com/people/brad-flora"
},
"founders": [
{
"user_id": 231327,
"full_name": "Towaki Takikawa",
"title": "Founder/CEO",
"founder_bio": "Ex-Research Scientist at NVIDIA, working on R&D for simulation (neural fields, 3D computer vision, 3D generative models). Previously worked in robotics (systems engineering / electro-mechanical design) and manufacturing (operating various CNC machines 😎).",
"is_active": true,
"linkedin_url": "https://linkedin.com/in/tovacinni",
"x_url": "https://x.com/yongyuanxi",
"avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/517caf29a4afd4a93916d324c052859963ad85db.jpg"
}
],
"jobs": [
{
"id": 81669,
"title": "Member of Technical Staff, Computer Vision / Graphics",
"url": "https://www.ycombinator.com/companies/outerport/jobs/XyfMWG2-member-of-technical-staff-computer-vision-graphics",
"location": "San Francisco, CA, US / Tokyo, JP",
"type": "Full-time",
"role": "Engineering",
"role_type": "Machine learning",
"salary_range": "$100K - $200K",
"equity_range": "0.50% - 3.00%",
"experience": "Any (new grads ok)",
"visa": "US citizen/visa only",
"skills": [
"Python",
"Torch/PyTorch",
"OpenCV",
"Computer Vision"
]
},
{
"id": 88429,
"title": "Member of Technical Staff, Tokyo Deployed",
"url": "https://www.ycombinator.com/companies/outerport/jobs/mMUcpLv-member-of-technical-staff-tokyo-deployed",
"location": "San Francisco, CA, US / Tokyo, JP / Remote (US; JP; CA)",
"type": "Full-time",
"role": "Engineering",
"role_type": "Full stack",
"salary_range": "$60K - $200K",
"equity_range": "0.50% - 3.00%",
"experience": "3+ years",
"visa": "US citizen/visa only",
"skills": [
"Python",
"React",
"TypeScript",
"Next.js"
]
},
{
"id": 95319,
"title": "Member of Technical Staff, Process Engineering",
"url": "https://www.ycombinator.com/companies/outerport/jobs/xNvEant-member-of-technical-staff-process-engineering",
"location": "San Francisco, CA, US / Tokyo, JP / Remote (US)",
"type": "Full-time",
"role": "Engineering",
"role_type": "Chemical engineering",
"salary_range": "$60K - $200K",
"equity_range": "0.50% - 3.00%",
"experience": "3+ years",
"visa": "US citizen/visa only",
"skills": []
},
{
"id": 95320,
"title": "Business Development / Operations, Tokyo",
"url": "https://www.ycombinator.com/companies/outerport/jobs/xOHQwfu-business-development-operations-tokyo",
"location": "Tokyo, JP",
"type": "Full-time",
"role": "Sales",
"role_type": null,
"salary_range": "$60K - $200K",
"equity_range": "0.10% - 3.00%",
"experience": "1+ years",
"visa": "US citizen/visa only",
"skills": []
},
{
"id": 114954,
"title": "Member of Technical Staff, DSL for Automation & Electrical CAD",
"url": "https://www.ycombinator.com/companies/outerport/jobs/sRFUnQ9-member-of-technical-staff-dsl-for-automation-electrical-cad",
"location": "San Francisco, CA, US / Tokyo, JP / Remote (US; JP; CA)",
"type": "Full-time",
"role": "Engineering",
"role_type": "Backend",
"salary_range": "$100K - $300K",
"equity_range": "1.00% - 5.00%",
"experience": "6+ years",
"visa": "US citizen/visa only",
"skills": []
}
],
"news": [],
"launches": []
}
]