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        "url": "https://www.ycombinator.com/companies/athelas/jobs/A3nqxNW-operations-manager-patient-experience",
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        "role": "Engineering",
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        "role": "Engineering",
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        "role": "Design",
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        "title": "Strategic Operations Manager, Accounts",
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        "title": "GTM Chief of Staff",
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        "id": 96945,
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        "role": "Engineering",
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        "title": "Director, Growth Marketing",
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        "experience": "5+ years",
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        "id": 96947,
        "title": "Senior Revenue Accountant",
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        "experience": "5+ years",
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        "id": 96948,
        "title": "Senior Backend Engineer, RCM AI",
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        "role": "Engineering",
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        "experience": "5+ years",
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        "id": 96949,
        "title": "Senior Operations Manager, Infrastructure",
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        "location": "Mountain View, CA",
        "type": "Full-time",
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        "id": 96950,
        "title": "Operations Manager, Patient Experience",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/gnIrSjU-operations-manager-patient-experience",
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        "id": 96951,
        "title": "Operations Manager, Infrastructure",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/8BMR7wi-operations-manager-infrastructure",
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        "id": 96952,
        "title": "Manager, Revenue Accounting",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/a55sI3r-manager-revenue-accounting",
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        "type": "Full-time",
        "role": "Sales",
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        "experience": "5+ years",
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        "id": 96953,
        "title": "Senior Technical Recruiter",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/7xIze7t-senior-technical-recruiter",
        "location": "Mountain View, CA",
        "type": "Full-time",
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        "experience": "5+ years",
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        "id": 96954,
        "title": "Clinical Implementation Specialist",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/hv3IKxk-clinical-implementation-specialist",
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        "type": "Full-time",
        "role": "Operations",
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        "id": 96955,
        "title": "Senior HR Compliance Manager",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/atyOpZ7-senior-hr-compliance-manager",
        "location": "Mountain View, CA",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
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        "experience": "5+ years",
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        "id": 96956,
        "title": "Account Executive, Scribe Growth",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/Vagno26-account-executive-scribe-growth",
        "location": "Mountain View, CA / San Francisco, CA",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
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        "id": 96957,
        "title": "Systems Operations Manager",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/rThDF4t-systems-operations-manager",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "experience": "5+ years",
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        "id": 96958,
        "title": "Technical Recruiter (Contract)",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/XUaZuaM-technical-recruiter-contract",
        "location": "Mountain View, CA / San Francisco, CA",
        "type": "Contract",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
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    "long_description": "BloomAPI simplifies how medical records are transferred. Today the majority of records are still moved by fax and couriers. Patients, Doctors, and Insurance companies all benefit when medical records are available when they are needed for the care of patients. We make this possible.",
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    "long_description": "MDalgorithms is revolutionizing dermatology by delivering convenient, effective AI-powered solutions for skin and hair care. Since pioneering machine-learning models for acne treatment in 2017, we’ve advanced to develop the world’s first AI-powered scalp analysis for hair regrowth.\r\n\r\nOur proprietary AI technology, built entirely in-house, analyzes blemishes, lesions, and hair conditions with unmatched precision, utilizing the largest global dataset of acne and scalp images. Clinically validated and tested by dermatologists, our personalized treatment kits—MDacne for acne and MDhair for hair regrowth—are customized to each individual’s unique needs, combining over 100 medical and botanical ingredients for optimal results.\r\n\r\nWe empower users to track their progress, adjust treatments as needed, and access real-time support from our team of dermatologists and nurses. By doing so, we make personalized dermatological care accessible to all.",
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        "title": "MDalgorithms - Democratizing Dermatology with AI",
        "tagline": "MDalgorithms Inc. is building the future of Skincare & Haircare.",
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    "id": 1485,
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    "long_description": "Volt is an electrostimulation wearable to treat diseases like incontinence. The founder has already taken six medical devices to market, including the Cool Sculpting device that sold for billions. Incontinence affects 25 million people and is a $25 billion market. The device stimulates the muscles to get them the give feedback to receptors. This helps those suffering from incontinence to not pee when they don’t want to. The device can also target other conditions like migraines and comes with proprietary technology.",
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    "team_size": 1,
    "industry": "Healthcare",
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      "America / Canada"
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    "id": 12611,
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    "all_locations": "San Francisco, CA, USA; Oakland, CA, USA",
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    "team_size": 4,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Medical Devices",
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    "url": "https://www.ycombinator.com/companies/audiofocus",
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    "year_founded": 2019,
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        "full_name": "Shariq Mobin",
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    "id": 12614,
    "name": "GEn1E Lifesciences",
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    "website": "https://www.gen1e.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "GEn1E Lifesciences is a Clinical-stage, multi-target company with a unique AI platform. We develop novel, next-generation, immunomodulatory therapies for rare & inflammatory diseases with no effective treatments. Our team is supercharging the drug development cycle by applying AI to multiple-mechanism-of-action protein targets and their natural platform capabilities—creating novel therapeutics at an unprecedented pace. Our AI platform has enabled us to develop a purpose-built therapy for ARDS to reduce its $20 billion cost on society (just in the USA). \r\n \r\nGEn1E has built a rich pipeline of 21+ novel and selective immunomodulators and has plans to accelerate 2 additional devastating diseases (beyond their lead indication) to IND in the next 12 months. Our AI platform enables tremendous pace and capital efficiency as demonstrated by our progress in ~2 years with seed capital—a stark contrast to the typical spend of $100M+ and 7+ years exhibited in the pharmaceuticals / biotech industry.\r\n \r\nWith ~90% of rare diseases having no therapeutic treatment at all, GEn1E is taking a giant swing that will hopefully bring life-saving therapies to the lives of patients in need.\r\n \r\nThe team at GEn1E has decades of experience in drug development and machine learning. We graduated from YCombinator and Stanford-StartX in late 2019. We are based in Palo Alto, CA.",
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        "full_name": "Ritu Lal",
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        "url": "https://technical.ly/startups/gen1e-lifesciences-umb-rare-disease-treatments/",
        "date": "Aug 03, 2022"
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        "url": "https://www.fiercebiotech.com/biotech/meet-gen1e-biotech-bringing-p38alpha-kinase-drugs-to-inflammatory-diseases",
        "date": "Apr 28, 2022"
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        "date": "Apr 28, 2022"
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        "title": "Inside the Silicon Valley 'brain trust' taking aim at COVID-19 - ABC News",
        "url": "https://abcnews.go.com/Health/inside-silicon-valley-brain-trust-taking-aim-covid/story?id=70214888",
        "date": "Apr 28, 2022"
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        "date": "Apr 28, 2022"
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    "id": 12619,
    "name": "Mindset Health",
    "slug": "mindset-health",
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    "website": "https://www.mindsethealth.com",
    "all_locations": "Melbourne, VIC, Australia",
    "long_description": "We help healthcare providers treat their gastrointestinal patients with AI-delivered therapy. Using machine learning and large language models, we learn from therapy data, outcomes, and physiology to deliver adaptive, scalable treatments for conditions like IBS - without the waitlist.",
    "one_liner": "Building AI therapeutics for physical health conditions like IBS.",
    "team_size": 35,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Medical Devices",
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        "full_name": "Alex Naoumidis",
        "title": "Co-founder & Co-CEO",
        "founder_bio": "Building AI therapeutics for physical health conditions like IBS.",
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        "linkedin_url": "https://www.linkedin.com/in/alexnaoumidis/",
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        "full_name": "Chris Naoumidis",
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    "news": [
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        "title": "Melbourne brothers build $77m business Mindset Health from hypnotherapy apps",
        "url": "https://www.afr.com/technology/melbourne-brothers-build-a-77m-business-from-hypnotherapy-apps-20230306-p5cpsk",
        "date": "Mar 20, 2023"
      },
      {
        "title": "Evidence based hypnotherapy app Mindset Health raises $6.7 million",
        "url": "https://www.afr.com/technology/evidence-based-hypnotherapy-app-raises-6-7m-20210625-p584cy",
        "date": "Jun 27, 2021"
      },
      {
        "title": "Silicon Valley Goes to Therapy - The New York Times",
        "url": "https://www.nytimes.com/2019/09/20/business/silicon-valley-therapy-anxiety.html",
        "date": "Sep 20, 2019"
      },
      {
        "title": "Are Hypnotherapy Apps Better Than Meditation? - WSJ",
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        "date": "Aug 27, 2019"
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      {
        "id": 65293,
        "title": "Finito - Quit smoking in 4 weeks with a self-hypnosis app",
        "tagline": "The world's first evidence-based digital therapeutic to help people quit smoking with hypnotherapy",
        "body": "**tl;dr:** Hypnotherapy makes smokers [10x more likely](https://www.researchgate.net/publication/8881046_Clinical_Hypnosis_For_Smoking_Cessation_Preliminary_Results_of_a_Three-Session_Intervention) to quit smoking than going it alone and can be [more effective](https://www.sciencedirect.com/science/article/abs/pii/S0965229913002100) than nicotine replacement therapy. We’ve created Finito, a self-hypnosis app that helps people quit with 15-minute daily sessions, educational readings, and stop-craving tools.\n\nCheck out the app on [Apple App Store](https://apps.apple.com/us/app/finito-quit-smoking-hypnosis/id1624855382?platform=iphone) or the [Google Play Store](https://play.google.com/store/apps/details?id=com.mindsethealth.quit)! Learn more at [tryfinito.com](http://tryfinito.com).\n\n![uploaded image](/media/?type=post&id=65293&key=user_uploads/243817/f42fb187-6edc-4a8a-8fd2-70a47a576ddf)\n\n**❌ The problem**\n\nSmoking is one of the biggest public health threats the world faces today and yet doesn’t have the attention it sorely needs. It’s responsible for 1 in 5 deaths and an economic cost of more than [$300 billion a year in the US](https://www.cdc.gov/tobacco/data_statistics/fact_sheets/adult_data/cig_smoking/index.htm) alone.\n\nWhile half of smokers made a quit attempt in the past year, research shows it may take up to 30 attempts before they are successful. This is because nicotine patches and gums do not address the emotional and habitual factors behind smoking and access to in-person therapeutic support is limited.\n\n![uploaded image](/media/?type=post&id=65293&key=user_uploads/243817/d8b07f51-9847-4ee2-bcf6-f1e3055e45b8)\n\n**✨ Our solution**\n\nWe’ve joined up with world-leading neuroscientist Dr Gary Elkins to create an easy-to-use app with a 4-week structured program that helps people quit smoking with 15-minute daily self-hypnosis sessions, educational readings, and stop-craving tools.\n\nWhat distinguishes Finito from other smoking cessation solutions is that it addresses the underlying reasons that cause people to smoke in the first place, providing hypnotic suggestions to the subconscious to manage cravings, emotions, and habits.\n\nThe program is ideal for people who have tried to quit but have returned to smoking because it changes their unconscious smoking behavior and gives them the tools to self-manage their craving symptoms.\n\n![uploaded image](/media/?type=post&id=65293&key=user_uploads/243817/95ead0b3-6059-4073-934b-5e984df16299)\n\n**⚙️ How it works**\n\nYou may be familiar with hypnosis and its urban-legendary ability to help people stop smoking. Well, clinical studies show that hypnotherapy can actually be [10 times more effective](https://pubmed.ncbi.nlm.nih.gov/14768970/) than quitting without support and [more effective](https://www.sciencedirect.com/science/article/abs/pii/S0965229913002100) than nicotine replacement therapy. And according to [neurobiological brain studies](https://academic.oup.com/cercor/article/27/8/4083/3056452?login=false), hypnotherapy activates areas of the [brain associated](https://pubmed.ncbi.nlm.nih.gov/25365127/) with attention, motivation, and a sense of well-being.\n\nHypnosis isn't a therapy itself - it's a state of focused attention and heightened suggestibility that makes therapeutic techniques like CBT and guided imagery more effective. Hypnotherapy is like meditation but focused on health outcomes\n\n**💙 Founders backstory**\n\nWe created Mindset Health to empower people to improve their health by unlocking the power of their mind. We’ve already helped 80,000 people manage their IBS with hypnotherapy with our app Nerva. And we’re really excited to help people finally quit smoking, many of whom are understandably anxious and depressed about a habit that has controlled their life for too long.\n\n**Our ask**\n\n1. Tell any friends or family you know who want to quit smoking\n2. Investors: send us an email at [alex@mindsethealth.com](mailto:alex@mindsethealth.com)\n3. Share this post to your network to spread the word about hypnotherapy!",
        "url": "https://www.ycombinator.com/launches/Gz7-finito-quit-smoking-in-4-weeks-with-a-self-hypnosis-app",
        "votes": 36,
        "created_at": "2022-08-11T11:24:00.262Z"
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    "id": 12629,
    "name": "Nonu",
    "slug": "nonu",
    "former_names": [
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    "website": "https://nonucare.com/",
    "all_locations": "Hyderabad, Telangana, India",
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    "one_liner": "We deliver hair loss medicines for Indian men on a subscription basis.",
    "team_size": 10,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Consumer Health and Wellness",
    "launched_at": 1556682945,
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        "full_name": "Anudeep Reddy Sura",
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    "name": "ZETA SURGICAL",
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    "website": "http://zetasurgical.com",
    "all_locations": "Boston, MA, USA",
    "long_description": "ZETA SURGICAL is redefining the standard of care for image-guided surgery and targeted neuro-therapeutics. Its navigation and robotics platform applies advanced artificial intelligence and computer vision to enable high-accuracy image guidance across virtually any point of care in minutes, unlocking less invasive and more precise targeted therapies. The Zeta Navigation System and Zeta TMS Navigation System are cleared by the FDA and commercially available in the United States.",
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    "industry": "Healthcare",
    "subindustry": "Healthcare -> Medical Devices",
    "launched_at": 1556686578,
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    "year_founded": 2018,
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    "country": "US",
    "linkedin_url": "http://linkedin.com/company/zeta-surgical",
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        "user_id": 186726,
        "full_name": "Jose Maria Amich",
        "title": "Founder/CEO",
        "founder_bio": "Founder/CEO at Zeta Surgical",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/josemaria-amich/en",
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      {
        "user_id": 191603,
        "full_name": "Raahil Sha",
        "title": "Founder/CTO",
        "founder_bio": "Raahil is a co-founder of Zeta Surgical, a startup that develops surgical navigation and robotics tools to make minimally invasive surgeries easier, faster and more accessible. He graduated from Harvard in 2018 with a B.A. in Computer Science. Raahil has extensive experience in computational biology and is interested in the intersection of technology and medicine. While not working, Raahil can be spotted using his private pilot's license to fly to scenic locations around the east coast.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/raahil-sha/",
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    "news": [
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        "title": "Zeta Surgical’s robotic TMS system receives FDA clearance | MobiHealthNews",
        "url": "https://www.mobihealthnews.com/news/zeta-surgicals-robotic-tms-system-receives-fda-clearance",
        "date": "Oct 07, 2026"
      },
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        "is_active": true,
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        "date": "Mar 26, 2025"
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        "title": "Watch Trailer For ALS Doc 'For Love & Life: No Ordinary Campaign'",
        "url": "https://deadline.com/video/for-love-life-no-ordinary-campaign-als-documentary-trailer-debut/",
        "date": "May 06, 2024"
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        "url": "https://www.cbsnews.com/news/fighting-the-good-fight-against-als-amyotrophic-lateral-sclerosis/",
        "date": "Nov 26, 2023"
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        "url": "https://parkinsonsnewstoday.com/news/mjff-aid-synapticure-telehealth-parkinsons-specialty-care/",
        "date": "Jun 13, 2023"
      },
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        "date": "Jun 08, 2023"
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    "id": 21864,
    "name": "Farmako Healthcare",
    "slug": "farmako-healthcare",
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    "long_description": "We are India's fastest medicine delivery service. We deliver medicines in just 30 minutes. We have built highly optimized pharmacy stores and a set of internal tools designed to process prescriptions quickly.\r\n\r\nWe also provide easy-to-integrate APIs and SDK for anyone to start a virtual pharmacy without needing a license, pharmacy, or delivery fleet. Any doctor, teleconsultation app, or EMR provider can start delivering medicines to their patients on WhatsApp or App using our service in the background. We have more than 80 B2B partners, including India's top teleconsultation apps, EMR providers, hospitals, elderly care apps, and insurance providers.\r\n\r\nWe operate 24/7 in Gurgaon, New Delhi, and Moradabad and deliver over 15,000 orders monthly. So far, we have processed more than 250K orders and done thousands of life-saving deliveries.\r\n\r\nWe started in 2020 with the vision to build a centralized health record system for India. We had an AI-powered EMR app for doctors and a SaaS for diagnostic labs to add patients' medical records to Farmako Health ID. We have more than 3M health records added on Farmako. In 2022, the Indian government launched ABHA Health ID and we became one of the first official partners with them. In 2023, we launched quick medicine delivery and decided to move forward with ABHA Health ID for medical records.\r\n\r\nNow, we are building a safe health assistant inside our medicine delivery app, which will be connected to your Health ID and all your past medical records. Our goal is to make it a super-safe and accurate health assistant for the world, which can eliminate your doctor in the long run for all primary care issues.",
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    "team_size": 40,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
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      "Healthcare"
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    "status": "Active",
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      "South Asia"
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        "answer": "We started Farmako as a side project in college. The founders- Aman, Kaishu, and Nikhil studied at IIT Roorkee. Aman had a shoulder injury in college and went to a doctor. The doctor gave him a painkiller, but when he told the doctor about his past medical history related to his back, the doctor changed the prescription.Aman told this story to Kaishu and Nikhil, and all three got excited thinking how great it would be if everyone in India had all their medical records structured in one place, connected to a unified Health ID."
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      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Our vision is to make healthcare super accessible to every human on Earth."
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    "url": "https://www.ycombinator.com/companies/farmako-healthcare",
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That number is going up. Access is getting easier, prices are falling, and the longevity research on low-dose GLP therapy is compelling enough that it's not hard to imagine most adults cycling on and off these medications eventually, not just for weight loss, but for metabolic health and lifespan.\n\nThere are plenty of places to buy Ozempic, but the monitoring and optimization infrastructure is not there yet. The biology of GLP therapy is more complicated than the weight loss headline suggests:\n\n🚫 **Muscle loss is hidden by the scale.** Fast weight loss often means lean mass loss, not just fat. Standard weight tracking can't tell the difference.\n\n🚫 **Side effects are downstream signals.** Fatigue, brain fog, hair shedding, and constipation aren't random — they're often markers of caloric under-fueling, nutrient depletion, or dehydration pressure that bloodwork would catch early.\n\n🚫 **Prescribers don't monitor the full picture.** Most GLP patients get minimal follow-up labs, if any. HbA1c, ApoB, ferritin, B12, testosterone, thyroid — none of these are standard-of-care during treatment.\n\n🚫 **Weight alone is a bad success metric.** Losing 24 lbs while losing 6 lbs of muscle and depleting your ferritin is not the same as losing 24 lbs of fat.\n\n# The Solution: A Monitoring Loop Built for GLP Therapy\n\nWe've served 50,000+ users with at-home blood testing. GLP users are a distinct population with distinct needs, so we built a product specifically for them. The SiPhox GLP Monitoring Panel connects labs, body composition, and symptom tracking into one continuous loop so you can see what the drug is actually doing to your biology and course-correct before small problems become bigger ones.\n\n---\n\n### 💡 What You Get\n\n**✅ 40+ Lab Markers — GLP-Specific Panel**\n\nNot a generic wellness panel. Built around the markers that matter when appetite, weight, hydration, and body composition are actively changing:\n\n* **Metabolism:** HbA1c, eAG, C-Peptide\n* **Lipids &amp; heart:** ApoB, LDL, HDL, Triglycerides, hsCRP\n* **Liver:** ALT, AST, ALP, bilirubin, albumin\n* **Kidney &amp; hydration:** BUN, creatinine, eGFR, BUN:Cr ratio\n* **Thyroid:** TSH, Free T4\n* **Hormones:** Testosterone (total + free + %), SHBG, cortisol\n* **Nutrition:** Vitamin D, B12, folate, ferritin, iron studies (Iron, UIBC, TIBC, Iron Saturation), total protein\n\n**✅ Painless At-Home Collection**\n\nCollected via our Easydraw arm patch, no venous draw, no finger prick, no lab visit. Mail it back, and the results appear in your dashboard.\n\n**✅ Body-Composition Scanning**\n\nIn-app scanner tracks fat loss vs. lean mass preservation between tests.\n\n**✅ GLP Tolerance Score**\n\nA composite score built from labs, body comp, and symptom check-ins. Tracks how well your body is handling therapy at each stage: baseline → titration → maintenance.\n\n**✅ Symptom &amp; Side-Effect Tracking**\n\nTrack fatigue, brain fog, hair shedding, GI issues, and muscle soreness between tests. Connects subjective experience to objective lab data.\n\n**✅ Detailed Analysis &amp; Personalized Insights**\n\nInterpret what's moving in the right direction, what deserves a conversation with your prescriber, and what to adjust in diet, training, or supplementation built around your specific results.\n\n🔗 **Start monitoring:** <http://siphoxhealth.com/glp-monitoring>\n\n---\n\n---\n\n### 📈 Why Now?\n\nGLP drugs are the fastest-growing drug class in history. Next-gen peptides like retatrutide, orforglipron, cagrilintide are coming. The longevity use case is expanding the addressable population well beyond obesity treatment. And monitoring has not kept pace with any of it.\n\nMost patients are flying blind. Prescribers don't have the bandwidth for individualized follow-up. Labs are ordered inconsistently, if at all. No one is connecting weight, body composition, symptoms, and biomarkers in a single continuous view.\n\n\\_____________________________________________________________________\\_\n\n### 🏢 For Businesses: White-Label the GLP Monitoring\n\nRunning a GLP prescribing platform, a metabolic health clinic, a wellness app, or a supplement brand with a GLP-adjacent audience? You can white-label or co-brand the entire monitoring program.\n\n**What the partner program gives you:**\n\n✅ White-label or co-branded kit and dashboard under your brand\n\n✅ Full panel access + API integration for embedding results in your own product\n\n✅ Partner dashboard to track your clients' health journeys and customize next steps with real biomarker data\n\n✅ Pre/post protocol testing to prove efficacy and reduce churn\n\n✅ CLIA/CAP-accredited lab processing — same quality as traditional venous draws\n\n✅ Account management, biomarker interpretation training, and marketing support\n\nPatients are 3x more likely to stay engaged with a health program backed by real biomarker data.\n\n🔗 **Partner inquiry:** [siphoxhealth.com/partner](https://siphoxhealth.com/partner)\n\n\\_____________________________________________________________________\\_\n\n---\n\n### 🤝 For Health Coaches: Refer and Earn\n\nIf you work with people on GLP therapy as a health coach, personal trainer, or content creator, our affiliate program is built for you.\n\nNo cost to join. No hidden fees. Your referrals get a better monitoring product and better outcomes; you get a meaningful revenue stream.\n\n🔗 **Join the affiliate program:** [siphoxhealth.com/affiliate-program](https://siphoxhealth.com/affiliate-program)\n\n---\n\n\\_____________________________________________________________________\\_\n\n### About SiPhox Health\n\nSiPhox Health, backed by Khosla Ventures, Intel Capital, and Y Combinator, is a full-stack home blood testing company founded at MIT. We've tested 1M+ biomarkers across 50,000+ users. Our long-term mission is SiPhox Home — a silicon photonic chip that delivers instant blood test results from home. The GLP Monitoring Panel runs on our existing CLIA/CAP-accredited lab infrastructure and Easydraw arm collection patch.",
        "url": "https://www.ycombinator.com/launches/Qel-siphox-health-glp-monitoring",
        "votes": 31,
        "created_at": "2026-06-03T00:19:59.999Z"
      },
      {
        "id": 93544,
        "title": "SiPhox Health🩸Painless, At-Home Thyroid Testing",
        "tagline": "Test a comprehensive, lab-grade thyroid panel in minutes painlessly from home",
        "body": "### TL;DR\n\n**SiPhox Health is launching a first-of-its-kind at-home thyroid test.** Affordable, painless, comprehensive, and clinical-grade. Test as often as needed for $79/month—no lab visits required, results in minutes.\n\n**Join the waitlist here:** https://siphoxhealth.com/thyroid-waitlist\n\n## SiPhox Home: The Future of At-Home Thyroid Testing\n\n![uploaded image](/media/?type=post&id=93544&key=user_uploads/520037/72114357-e921-4bf9-98a6-2f5ec4cc6dde)\n\n### About SiPhox\n\nWe are a **YC, Khosla Ventures, and Intel Capital-backed** startup empowering everyday people to test their blood biomarkers painlessly at home and live healthier, longer.\n\nSiPhox is the **highest-rated self-testing company** on the market. We have delivered **300k+ biomarker test results** to date with our innovative mail-in tests via the SiPhox DTC wellness testing service and enterprise white-label platform.\n\n### What’s New\n\nWe're launching a **waitlist** for our **comprehensive, clinical-grade at-home thyroid testing** platform. For **$79/month**, users can test TSH, Free T4, Free T3, TPOAb, TGAb, and TG\n\n**No needles, no labs**— just use our painless Easydraw arm collector patch, collect a small blood sample, and place it into the device.\n\n---\n\n![uploaded image](/media/?type=post&id=93544&key=user_uploads/520037/117e1cb8-f4af-48ec-b22f-e5f50b1c1216)\n\n### Why It Matters\n\n**The numbers:** \\~20M Americans are living with hypothyroidism, and more with subclinical hypothyroidism. 1M+ have had their thyroid removed (\\~40-50k new thyroid cancer cases each year).\n\n**Completely at-home:** no more travel, scheduling, or needle draws. Just a quick 5-10 minute sample collection vs. 2‑hour lab appointments.\n\n**Robust panel, affordable pricing**: deeper insight at a lower cost relative to traditional labs (\\~$150/test).\n\n**Seamless doctor integration**: sync results with your doctor easily, and manage across devices via our dashboard.\n\n**Telehealth support if you need it:** work with a SiPhox-affiliated telehealth support team to optimize your thyroid health.\n\n**All-in-one health dashboard:** track your results in a modern dashboard where you can connect your wearable devices, upload past test results from any lab, and chat with an in-context health coaching AI.\n\n**High accuracy, future-ready tech**: SiPhox leverages silicon photonics, the tech that powers datacenter optical communication chips, to miniaturize a lab-grade blood testing instrument and cut the cost 300x without compromising on performance.\n\n**See our R&D facility here:**\n\nhttps://www.youtube.com/watch?v=kvNqRBW-MKI&ab_channel=SiPhoxInternal\n\n### How to get access\n\n**Join the waitlist here:** https://siphoxhealth.com/thyroid-waitlist\n\nPartner with us: https://siphoxhealth.com/partner\n\n---\n\n---\n\n---\n\n### What’s Next\n\nAfter we receive FDA clearance for thyroid testing, we’ll be focusing on launching sex hormone panels, an advanced cardiac and inflammation panel (ApoB, hsCRP, etc.), and more. These will all be compatible with the same device.\n\nThe SiPhox Home can measure up to 20 proteins and hormones in a single cartridge.\n\n\\_________________________________________________________________\\_\n\n**_Fine print:_**\n\n\\-_The SiPhox Home device is currently only available for investigational use. Joining the waitlist ensures you are first in line to access the device once we receive our FDA clearance (expected 2026)_\n\n\\-_The SiPhox Home will only be available with a doctor’s prescription, either through SiPhox telehealth or through your preferred provider._\n\n---\n\n### ",
        "url": "https://www.ycombinator.com/launches/OKm-siphox-health-painless-at-home-thyroid-testing",
        "votes": 39,
        "created_at": "2025-09-03T15:44:08.993Z"
      },
      {
        "id": 90232,
        "title": "Sai: Cursor for Lab Test Results",
        "tagline": "Your free lab test and health optimization copilot ",
        "body": "**TLDR:**\n\n1. SiPhox, already the best option for home blood testing, is launching Sai, an AI lab test analyzer that lives directly in the SiPhox dashboard, just like the Cursor chat lives inside the IDE.\n2. You can use it with your SiPhox results or upload your own PDFs/screenshots of lab tests, they will be automatically parsed and added to the dashboard for discussion with Sai.\n3. Link here to try for free: https://siphoxhealth.com/try-sai\n\n> “AI will cure all diseases in the next 10 years.” – Demis Hassabis, CEO of DeepMind (CBS 60 Minutes)\n\n![uploaded image](/media/?type=post&id=90232&key=user_uploads/520037/884209a7-485e-4a4f-8533-9904a6d38f8f)\n\nBig claim. Maybe _too_ big.\n\nSomething more practical: AI + friction-free diagnostics can wipe out **a significant portion of preventable disease** if we give people the right tools.\n\nThat’s exactly what we’re shipping an early version of **today**.\n\n---\n\n### **What’s new**\n\n# 1. **Cursor-style Copilot for Your Labs (Beta)**\n\nUpload any lab report—PDF, photo, whatever—and **Sai**, our GPT-powered assistant, appears as a cursor-style sidebar in your dashboard.\n\nAsk it anything:\n\n* “Why is my ApoB high if my LDL looks fine?”\n* “Show me habits that would drop my Trig/HDL under 2.”\n* “Review my last several years of test data to see if I might be developing perimenopause.”\n* “Generate a doctor-ready summary of my results.”\n\nOr **highlight any section** in your dashboard and click _Ask Sai_\n\nhttps://youtu.be/B7PZ3QvIEuI\n\n# 2. **Zero-friction At-Home Blood Testing**\n\n* Upper-arm collector (comfortable, collects the sample painlessly in a few minutes)\n* Industry-leading, up to **50 biomarkers** in a single kit\n* Overnight return shipping to lab for fast results.\n\n  ![uploaded image](/media/?type=post&id=90232&key=user_uploads/520037/c7d623a3-5648-489a-a0db-2d8b4b0e55d1)\n\n\n# 3. **Integrated Expert Review**\n\nEvery report is reviewed by health experts. Insights come from a proprietary database developed by SiPhox experts and clinical advisors based on years of longitudinal testing by thousands of users. You still get human nuance + the flexibility of discussing your results with Sai.\n\n# 4. **Free Biological-Age & Heart-Age Scores**\n\nBecause a comprehensive dashboard is nice, but **north-star metrics** make it easier to take action and track progress. We built these scores using proprietary models based on public datasets and years of SiPhox user data.\n\n# 5. **Open Uploads**\n\nNot ready to buy a kit? Start by dumping old Quest/Labcorp PDFs into the dashboard for **free**. We’ve had this feature available for a few months now, and uploads are growing exponentially.\n\n---\n\n### **One More Thing 🫀**\n\n# **Heart & Metabolic Program** (launched quietly six months ago, now public)\n\n* **Most complete at-home panel** for cardiometabolic risk (advanced lipids + insulin resistance markers).\n* **Phenotype scoring** that fuses glucose-metabolism and lipid data\n* American Heart Association risk score and SiPhox **Heart-Age** score so you (and your doctor) can see your heart health status at a glance.\n* Access to titrated **lipid-lowering medications** when needed via telemedicine\n* Full Sai access, of course.\n\n---\n\n### **Why We’re Doing This**\n\n* **Doctors are time-constrained**. They glance at your test results and say “looks normal” even though “normal” ranges are based on lack of active disease, not disease prevention\n* **Patients are guessing**. Reddit threads and WebMD are too generic\n* **AI is finally good enough** to translate raw biomarker data into clear, day-to-day actions.\n* **Existing doctor-AI tools** are focused on symptom analysis and diagnosis, not on labs and long-term disease prevention\n* **60% of Americans have a chronic disease.** We want to help these people manage or even reverse their conditions and help the other 40% stay healthy long into old age.\n\n### **“There’s a new AI agent/chatbot launching every day. Why does the world need another one?”**\n\n1. It’s 100% true that anyone can upload their lab results to ChatGPT or another LLM interface and have a passable conversation about them. Based on our real-world experience with the SiPhox user-base, having a single health dashboard where all of your health data lives makes all the difference. **It’s the same reason Cursor is more useful for coding than ChatGPT…** the assistant in the IDE and has all the necessary context to collaborate with the user. This is something we wanted to experiment with (and we are looking to get as much feedback as possible on the UI).\n2. ChatGPT and other chatbots do great on generic medical exams but just like a typical primary care physician, they are less trained to handle health optimization and advanced bloodwork. Selecting “deep research” gives better results, but the output still requires an expert to confirm.\n3. SiPhox customized Sai using years of experience repeatedly testing, and coaching tens of thousands of users. This kind of dataset of frequent, comprehensive testing and coaching doesn’t exist publicly (or privately, as far as we know) for LLMs to train on.\n4. We are not an AI company building in a vacuum; we are a hardware and clinical product company building, integrating AI to serve the needs of active users who partner with us every day to improve their health.\n\n**Transparently, we are not convinced that this form factor (a chatbot)** is the final iteration, but given the state of AI today (latency vs. accuracy and intelligence tradeoffs), this is where we are starting.\n\n---\n\n### [TALK TO SAI](https://siphoxhealth.com/try-sai)\n\n1. **Don’t forget to upload past labs** → your data and trends are analyzed and displayed in a clear dashboard with the Sai sidebar\\_: [https://siphoxhealth.com/try-sai](https://siphoxhealth.com/try-sai%5C)\n2. **Sign up for a home blood test kit subscription** → 20 % off for the YC community with code [LAUNCHYC20](https://siphoxhealth.com/?discount=LAUNCHYC20)\n3. Are you a business, healthtech startup, clinic, physician or coach? You can utilize all of these features in SiPhox Enterprise, co-branded or white-labeled: https://siphoxhealth.com/partner\n\n---\n\nTen years to cure all diseases is optimistic, but giving everyone a personal lab analyst today is how we start making progress.\n\nSee you in the dashboard,\n\nThe SiPhox Health team\n\n\\_________________________________________________________________\\_\n\n### **How is my data handled?**\n\nSiPhox does not sell or share your personal data. SiPhox maintains compliance with industry grade security and best data privacy standards.\n\n\\_________________________________________________________________\\_\n\n### **The disclaimer:**\n\nSai is an AI-powered assistant (Beta) developed by SiPhox to provide general informational and educational responses based on its training data. Like other AI models (e.g., ChatGPT, Gemini), Sai may occasionally generate incomplete, outdated, or inaccurate information. We are actively working to improve its performance and reliability.\n\nSai does **not** provide medical advice, diagnosis, or treatment, and it is **not** a substitute for professional medical guidance. The use of Sai does **not** create a doctor-patient relationship. Any health-related content generated by Sai should not be acted upon without first consulting a qualified healthcare provider.\n\nSiPhox disclaims any liability for decisions made based on information provided by Sai. By using Sai, you acknowledge and agree to these limitations and to our Terms of Service and Privacy Policy.",
        "url": "https://www.ycombinator.com/launches/NTM-sai-cursor-for-lab-test-results",
        "votes": 36,
        "created_at": "2025-05-09T15:22:45.474Z"
      },
      {
        "id": 87455,
        "title": "🩸 SiPhox Health Ultimate Program – Comprehensive & Painless At-Home Blood Testing",
        "tagline": "Track 100+ blood biomarkers from home",
        "body": "### **TL;DR: We’ve launched the SiPhox Health Ultimate Program, a next-generation at-home blood testing and health tracking platform.**\n\n✅ 50+ biomarkers tracked painlessly from home\n\n✅ No venous draws, fingerpricks, traveling, appointments, or waiting rooms. Collect from home with the painless Easydraw arm collector device\n\n✅ 100+ total biomarkers when paired with yearly primary care lab result\n\n✅ Upload all your past lab tests (any lab) to track everything in one dashboard\n\n✅ AI-powered body fat % estimation using your phone camera (validated against DEXA scan)\n\n✅ Seamless integration with wearables & glucose monitors\n\n✅ Expert-driven, actionable, personalized insights\n\n✅ $498/year – less than $42/month for full health tracking — 50+ biomarker home tests twice per year\n\n🔗 **Try it now:** [siphoxhealth.com/ultimate-program](https://siphoxhealth.com/ultimate-program?utm_source=yc&utm_medium=article&utm_campaign=ultimate-launch)\n\n---\n\n### **🔨 Why We Built This**\n\n# **The Problem: Blood Testing Is Stuck in the Past**\n\nWe live in a world where wearables track heart rate, sleep, and glucose 24/7, yet blood testing—the most critical health data source—is still:\n\n🚫 **Infrequent** – Most people only test once per year at a doctor's visit.\n\n🚫 **Incomplete** – Many key biomarkers are not tested until symptoms appear.\n\n🚫 **Inconvenient** – Booking an appointment, traveling to a lab, and waiting weeks for results is a hassle.\n\n🚫 **Painful** – Finger pricks and venous blood draws deter regular tracking.\n\n🚫 **Fragmented** – No easy way to combine biomarker data with wearables or look at trends in past blood test data.\n\nMeanwhile, people want more and better **insights into their health**, whether for **longevity, athletic performance, metabolic health, hormonal balance, chronic disease prevention, or chronic disease management.**\n\n# **The Solution: Convenient Biomarker Tracking + Personalized Health Insights**\n\n🔬 We spent the last **2.5 years** **experimenting** with at-home blood test kit offerings to solve this problem and **tested tens of thousands of people**.\n\nWith the **SiPhox Health Ultimate Program**, we brought blood biomarker tracking, painless home sample collection, advanced biomarkers, personalized insights, body composition, and wearable integration into one seamless platform—so you can take control of your health without paperwork, clinics, finger pricks, or expensive lab tests.\n\n![uploaded image](/media/?type=post&id=87455&key=user_uploads/520037/8ea35ddb-b0ed-49ad-8fe6-1a39abf649eb)\n\n### **💡 What did we learn since our last launch**\n\nWe launched our service in beta September of 2022 🚀\n\n![uploaded image](/media/?type=post&id=87455&key=user_uploads/520037/18182bcb-e16e-4037-8d76-d14d009e28a0)\n\nWe’ve since served **10s of thousands** of users. Here are our **learnings**:\n\n1. More biomarkers = Better insights\n   * Larger panels are more likely to uncover issues before they become serious\n   * Users can handle (and often crave) more health data as long as it’s placed in proper context and made easy to understand\n   * Biomarkers like ApoB, Ferritin, C-Peptide, Testosterone and others that are normally not tested without symptoms can often reveal early warning signs that can be reversed with low-effort interventions\n2. Finger pricks don't work for everybody. Some people don’t mind them at all but they deter many from maintaining regular testing.\n3. Comprehensive home blood testing can make a big difference in people’s lives. A few examples below in the words of our users:\n\n![uploaded image](/media/?type=post&id=87455&key=user_uploads/520037/b9dce2a7-78a1-46d5-ba3e-13ed5594e215)\n\n![uploaded image](/media/?type=post&id=87455&key=user_uploads/520037/07fcc565-3131-435d-b56b-ded73ebbdab4)\n\n![uploaded image](/media/?type=post&id=87455&key=user_uploads/520037/d9745e3b-0cbf-4868-bd20-5aeb61d19065)\n\n<https://www.youtube.com/watch?v=vHC_5CRaMN0>\n\n### **💡 What You Get**\n\n✅ **At-Home Blood Testing – No Finger Pricks Required**\n\nWe've launched **Easydraw**, a **painless upper-arm blood collection patch** that allows you to test **50+ biomarkers** from home.\n\n![uploaded image](/media/?type=post&id=87455&key=user_uploads/520037/b03d31fb-e658-4d1c-ae36-4316da2d42b0)\n\n✅ **100+ Biomarkers with Your Annual Primary Care Lab Results**\n\nEasily **upload previous blood test results** from any lab (e.g., Quest, Labcorp) to **build the most complete biomarker dataset possible.** A typical annual wellness blood test contains a Complete Blood Count, Complete Metabolic Panel, and a Urine test. Add these to the SiPhox panel for a more complete picture of your health.\n\n![uploaded image](/media/?type=post&id=87455&key=user_uploads/520037/78cf4613-c1de-434f-b38b-a62eadd72733)\n\n✅ **AI-Powered Body Fat % Estimation**\n\nUsing just your phone camera, our app **analyzes body composition with AI**—giving you an accurate **body fat % estimate validated against Dexascan**.\n\n![uploaded image](/media/?type=post&id=87455&key=user_uploads/520037/36289b67-aab1-4b69-946d-b515743689c8)\n\n✅ **Wearable Integration + Continuous Health Tracking**\n\nSyncs seamlessly with **Apple Health, Oura, Whoop, Abbot Libre, Dexcom, and more** to combine biomarker testing with **sleep, activity, HRV, and glucose data.**\n\n✅ **Expert-driven, actionable, personalized insights and action plans**\n\n![uploaded image](/media/?type=post&id=87455&key=user_uploads/520037/b26827e0-45ee-41ac-a694-a9f24fd42df5)\n\n**✅ Scientists**\n\nOur team is made up of experts, Ph.D.s, MDs, and engineers, who are passionate about blood testing and health optimization. SiPhox is the only direct-to-consumer (DTC) home blood testing company developing its own hardware.\n\n**✅ More value for your money**\n\nWe avoid costly partnerships with celebrities and focus on shipping new features as our main driver of growth.\n\n### **📈 Why Now?**\n\n---\n\n6 out of 10 Americans have at least one chronic disease. Getting and staying healthy is more of a priority than ever before. Wearables, CGMs, and health tracking are becoming mainstream, but **blood testing is stuck in the past**—it’s inconvenient, painful, and limited to annual checkups.\n\nSiPhox Health bridges the gap, combining **at-home biomarker testing** with a **seamless, full-featured health dashboard.**\n\n---\n\n🩸 **Sign up today:** [siphoxhealth.com/ultimate-program](https://siphoxhealth.com/ultimate-program?utm_source=yc&utm_medium=article&utm_campaign=ultimate-launch)\n\n---\n\n### 🔗 **About SiPhox Health**\n\n---\n\nSiPhox Health, backed by Khosla Ventures, Intel Capital, and Y Combinator, is a full-stack home blood testing company currently offering consumers and businesses mail-in test kits to conveniently measure a broad range of biomarkers. Founded at MIT, our mission is to commercialize SiPhox Home—a silicon photonic chip-based device that delivers instant blood test results at home, making biomarker testing easier, smarter, and more accessible than ever.",
        "url": "https://www.ycombinator.com/launches/MkZ-siphox-health-ultimate-program-comprehensive-painless-at-home-blood-testing",
        "votes": 39,
        "created_at": "2025-02-05T22:23:17.832Z"
      },
      {
        "id": 83565,
        "title": "🩸SiPhox Health BiomarkerAI: Transform your PDF blood test results into simple, actionable insights",
        "tagline": "Upload your recent blood test results for free and receive a clear, easy-to-understand analysis of your health data.",
        "body": "## **TL; DR:**\n\nTrying to understand your blood test results shouldn't be a confusing or frustrating experience. At SiPhox Health, we simplify your lab results, offering clear insights into your health, actionable steps to improve it, and affordable at-home tests to track your progress. Say goodbye to cluttered, overwhelming reports, and hello to a healthier, more informed you.\n\n**🔗Link to try it out:** <https://siphoxhealth.com/understand-your-test-results>\n\n## **🚨 The Problem**\n\n![uploaded image](/media/?type=post&id=83565&key=user_uploads/520037/b16be89b-06df-4b1c-8919-382ec764ecf1)\n\n**60% of American adults** are living with at least one chronic illness, and **40%** are living with two or more. Regular blood tests are vital for identifying and managing these conditions, but the traditional reports often add to the confusion.\n\nInstead of offering clarity, you're met with pages of numbers, confusing medical jargon, and reference ranges that merely tell you if you’re “in” or “out”. If you're lucky enough to discuss the results with your doctor, you might gain some clarity and a prescription, but you’re unlikely to fully understand the status of your body, and feel like you have a clear plan to improve your health.\n\nWhat's more, as long as your results aren't drastically abnormal, you might not receive any feedback from your doctor at all. This can lead to the neglect of critical signals—issues that may only become apparent when they escalate, often surfacing only a year later in your next annual blood test.\n\n## 💡 **The SiPhox Solution**\n\n![uploaded image](/media/?type=post&id=83565&key=user_uploads/520037/a84c1e65-96d2-494d-aab4-d8d097d3908f)\n\nCheck out a demo of the dashboard here: <https://app.siphoxhealth.com/reports/demo-siphox-dashboard>\n\nWe’ve developed a platform that turns your blood test results into actionable insights, empowering you to understand your body, make informed changes to improve your health and track your progress over time.\n\n1. Understand your body\n   * Simple explanations for each test, and insights to help you understand what your result for that test means.\n2. Make changes.\n   * Personalized diet, lifestyle, and supplement recommendations based on your blood test results and health goals. Our bodies are unique, complex systems, for which general recommendations will not suffice. Your action plan will be made custom for you.\n3. Track progress.\n   * How do you know if the changes have been effective? Take another blood test with a SiPhox at-home testing kit. SiPhox offers the most comprehensive and inexpensive at-home blood test kit on the market.\n   * Visualize how your biomarkers are trending on simple, intuitive graphs.\n\n![uploaded image](/media/?type=post&id=83565&key=user_uploads/520037/a67fa2bf-4ccc-453f-8ede-b5db1b40f41e)\n\n## **How did we develop our algorithms:**\n\nWe run a mail-in blood testing subscription service ([$165 for quarterly testing](https://siphoxhealth.com)) that enables users to test 17 key blood biomarkers from home with a painless self-collected sample. We trained an AI algorithm on the massive amount of biomarker data we’ve collected over the years, coupled with all the insights our clinical team delivered to our subscribers.\n\n## **How it works:**\n\n1. **Upload Your Results:** You can upload blood test results from any doctor or provider by either uploading a file or manually entering them.\n2. **Help us understand your goals:** Take a short questionnaire to help us understand your current lifestyle and what your health goals are. For example, you’re currently fairly sedentary and would like to boost your energy and mood.\n3. **Receive your Insights:** We use a combination of AI and our experts to generate personalized, actionable insights for you. Within two days of submitting your report, you’ll be able to view these insights in your dashboard.\n4. **Take another blood test:** After implementing your health protocols, take another blood test to see how your biomarkers have adapted. Then, you can view the state of each biomarker with intuitive graphs and scores.\n5. **For bonus points:** Connect your wearable device to combine sleep, activity, and heart rate data with your blood biomarkers in the same dashboard.\n\n<https://www.loom.com/share/cf58b874538249bc91026d074a38fdde?sid=baaee4a9-710c-4626-ae12-b2361cf94515>\n\n## **⚡️ Real Results, Real Impact:**\n\nWith hundreds of thousands of blood biomarker results delivered, SiPhox is already transforming how people understand, track, and improve their health. Whether it's identifying nutritional gaps or optimizing fitness, our users are making data-driven decisions that lead to tangible improvements in their well-being.\n\nJoin a growing community of health-seekers by uploading your blood test results today.\n\n## 🤝 **Quick ask**\n\n* [Click here to try it out!](https://siphoxhealth.com/understand-your-test-results)\n* If you find the product helpful, share it with your friends, family, and social media followers.\n* We welcome feedback on SiPhox’s product and encourage you to suggest new features.\n\n**Talk to us** - Interested in working, learning more, or collaborating? Email [team@siphoxhealth.com](mailto:team@siphoxhealth.com) or visit our [partner](https://my.siphoxhealth.com/pages/partner) and [career](https://my.siphoxhealth.com/pages/careers) pages.\n\n## 🦊**About SiPhox**\n\n[SiPhox](https://www.siphoxhealth.com/) Health, Inc. is a venture-backed startup in Greater Boston that integrates microfluidics, biochemistry, and Silicon Photonics to miniaturize proteomics. It was founded in February 2020. We are building lab-quality blood testing and advanced primary care for the home to help prevent and manage chronic disease.\n\nThe SiPhox team has extensive experience translating cutting-edge optical chip technology into mass-produced products used worldwide. It is bringing the same proven approach to the next frontier for integrated photonics. This new frontier is biology.\n\nSiPhox has [raised](https://techcrunch.com/2023/07/19/intel-khosla-27m-siphox-health-at-home-blood-test-healthcare/?guccounter=1) $29M to date and is backed by Y Combinator, Intel Capital, Metaplanet, and Khosla Ventures.\n\n![uploaded image](/media/?type=post&id=83565&key=user_uploads/520037/83d647ea-a0c1-491c-bd8c-7d9dcb635796)\n\n## **📝Disclaimer:**\n\nThis free service is meant for informational and educational purposes only. The reference ranges and insights presented in the SiPhox Health dashboard are meant to improve readability and provide context; however, you should consult with your physician for a more formal interpretation of your results. No communication from SiPhox Health is meant to be or should be taken as medical advice. SiPhox Health is a wellness-only service and is not designed to diagnose, prevent, or treat any disease. If you are concerned about any of the data in your dashboard, please consult your physician immediately.",
        "url": "https://www.ycombinator.com/launches/Ljp-siphox-health-biomarkerai-transform-your-pdf-blood-test-results-into-simple-actionable-insights",
        "votes": 32,
        "created_at": "2024-08-28T23:32:55.194Z"
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      {
        "id": 66235,
        "title": "SiPhox Health - Convenient at-home health tracking",
        "tagline": "At-home health testing is too expensive and slow. We’re fixing that.",
        "body": "SiPhox is building at-home blood testing hardware using silicon photonic chips. Our hardware product is currently in development and we plan to start beta testing it in users’ homes in 2023. ([Watch Lab Tour](https://youtu.be/u6oF_lyUsII)).\n\n**The average American lifespan has plateaued over the last 2 decades:**\n\n![uploaded image](/media/?type=post&id=66235&key=user_uploads/520037/ae9a0197-58ee-4f23-884b-e894463751d3)\n\nWe believe that every human is unique. Biomarker tracking is required to know whether a particular lifestyle or health intervention is working. At scale, we envision that frequent population biomarker tracking will enable humans to live longer and healthier lives.\n\n**To enable this future, our team is working to decrease the cost of at-home testing by 10x and make results available immediately.**\n\n**SiPhox just launched Quantify, an at-home test kit service that enables users to track 17 health tests ($95/test)** 🩸 **+ sleep, activity, and heart rate data from your wearable device ⌚ in a single dashboard.** [JOIN QUANTIFY (10% off)](https://getquantify.io/pages/tier-page?utm_source=YC-launch&utm_medium=post&utm_campaign=YC-launch&utm_id=YC-launch)\n\n### About Quantify\n\n* Quantify was created to empower individuals to take control of their health journey.\n* Quantify is a simple, convenient, low-cost, and comprehensive way to track your health and minimize chronic disease risk.\n* We measure inflammation, metabolic fitness, hormonal + nutritional balance, and cardiovascular health. These are shown in a comprehensive, easy-to-understand wellness dashboard ([sample dashboard](https://app.getquantify.io/reports/d3e8b07917dba)) with personalized insights so you can track and improve over time.\n* For now, all the tests are done via **mail-in,** **self-collected samples** at a **gold standard CLIA-certified lab**, SiPhox hardware will be phased in next year.\n* **Over the last 3 months, our alpha users discovered and improved things like low Vit. D, high inflammation (hsCRP), low Testosterone, High ApoB/LDL cholesterol, high fasting Insulin, poor sleep, and more.**\n* We want this sort of tracking to be broadly accessible to those that can’t afford concierge medicine. **At $95/kit for the monthly membership (before discount) we set the lowest price on the market (compare to $250 for Insidetracker InnerAge 2.0).**\n* Use this link for a 10% discount on your first 3 test kits: [JOIN QUANTIFY](https://getquantify.io/pages/tier-page?utm_source=YC-launch&utm_medium=post&utm_campaign=YC-launch&utm_id=YC-launch)\n\n# \n\n![uploaded image](/media/?type=post&id=66235&key=user_uploads/520037/03fb9c15-7e73-4c12-afb5-acc75306264b)\n\n# **How it works** ⚙️\n\n1. Subscribe to Quantify\n2. (optional) Connect your wearable devices (8sleep, Fitbit, Whoop, Oura, etc.)\n3. Receive an at-home collection kit to self-collect a blood sample (see picture above)\n4. Join our weekly webinar for a guided self-collection if you have never done it before. You will be a pro in 10 minutes 🙂\n5. Mail in your sample (USPS pickup) and view the results in your intuitive wellness dashboard ([sample dashboard](https://app.getquantify.io/reports/d3e8b07917dba))\n6. Receive customized insights based on your blood biomarker and wearable data\n7. Do your own experiments (diet, supplements, exercise, biohacking, etc.)\n8. Test again and track your results over time\n9. Compare your scores against Quantify user averages\n\n**Get in touch** ✉️\n\n1. Feel free to contact us at [hello@getquantify.io](mailto:hello@getquantify.io) with any questions or suggestions about the service\n2. If you are interested in integrating Quantify into your product offering, please get in touch via [info@siphox.com](mailto:info@siphox.com)\n\n### Use this link for a 10% discount on your first 3 test kits: [JOIN QUANTIFY](https://getquantify.io/pages/tier-page?utm_source=YC-launch&utm_medium=post&utm_campaign=YC-launch&utm_id=YC-launch)\n\n### ",
        "url": "https://www.ycombinator.com/launches/HEJ-siphox-health-convenient-at-home-health-tracking",
        "votes": 61,
        "created_at": "2022-09-22T16:18:57.138Z"
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        "tagline": "We're making nutrition care accessible to the 150 million Americans struggling with nutrition-related chronic diseases.",
        "body": "**tl;dr:** Most Americans have insurance that covers working with a Registered Dietitian (RD), but fewer than 1% utilize this benefit. We make it easy for patients to connect with an RD over telehealth and get it covered by their insurance (94% of our patients pay $0 out-of-pocket). For RDs, we eliminate the administrative burdens of accepting insurance. **Find a dietitian today on our **[**website**](https://usenourish.com)**!**\n\n👋 Hi, everyone! We’re Aidan, Sam, and Stephanie, the co-founders of Nourish. After disappointing experiences with the healthcare system and finding resolutions through diet change, we launched Nourish to make high-quality nutrition care accessible to all Americans.\n\n### 🚑 Nutrition-related diseases are the biggest problem in US Healthcare\n\n[Poor nutrition is the root cause of chronic diseases affecting over half of Americans.](https://www.cdc.gov/chronicdisease/resources/infographic/chronic-diseases.htm) RDs are shown to be highly effective at preventing and managing the most prevalent chronic conditions, yet access to outpatient nutrition care has been limited due to a lack of in-network providers and prohibitively expensive cash-pay options. Access is particularly limited amongst lower-income patient populations that are disproportionately affected by poor nutrition. \n\n### 🧡 Nourish makes it easy to connect to an RD covered by insurance\n\n![uploaded image](/media/?type=post&id=79753&key=user_uploads/366407/c090c94e-3bdd-4d6c-a63f-d0f754974761)\n\nNourish is a telenutrition platform that connects people to RDs covered by insurance. Our RDs provide personalized support for patients spanning different life stages and conditions, including adolescent eating disorders, perinatal care, diabetes and prediabetes, heart health, gut health, autoimmune diseases, cancer, and nearly 40 more. Using our app, patients can log meals, message with their RD, track health progress, and access personalized resources. \n\nThrough partnerships with most major health insurance companies, we offer services to 94% of patients for $0 out-of-pocket. We accept hundreds of insurance plans in all 50 states and are in-network with major insurance providers, including Aetna, Cigna, United, Blue Cross Blue Shield, and Medicare. \n\n### 🙏 Asks\n\n* Try Nourish and give us feedback! Click [here](https://usenourish.com) to see if you’re eligible and get matched with a dietitian 😀\n* Come work with us! See our open roles [here](https://www.usenourish.com/careers).",
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        "created_at": "2024-03-27T18:47:26.954Z"
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    "long_description": "At Curvenote we are building the communication and publishing tools for scientists and engineers. In the future, every scientific report will feature interactive graphs with live data that will make it significantly easier to share and reproduce the work.",
    "one_liner": "Communication and publishing tools for scientists",
    "team_size": 3,
    "industry": "Healthcare",
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        "answer": "Platform to build, remix, share & explore science"
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        "answer": "We are creating an online platform for writing, sharing and re-using scientific content. iooxa is connecting the building blocks that make up documents and presentations to their computational origins, so that they can remain linked and interactive -- enabling interrogation, adaptation, organization and extension of ideas.\r\n\r\nOur approach is to create small, meaningful “blocks” of content (e.g. figures, equations, paragraphs, code) that track versioning, licensing and attribution. These blocks can be composed into traditional, linear documents or pulled apart and rearranged. We enable collaboration across a spectrum of computational abilities, through integrations with Jupyter Notebooks to track experimental progress and “import” interactive outputs into reports, documents, and presentations."
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    "all_locations": "New York City, NY, USA; New York, NY, USA; Remote",
    "long_description": "Wyndly (https://www.wyndly.com) fixes allergies by training patients' bodies to ignore their allergy triggers. Frustrated allergy suffers come to us when they no longer want to deal with pills and sprays. We diagnose the patient’s unique allergy profile and create a personalized treatment plan to give the patient lifelong allergy relief. Specifically, Wyndly is increasing access to  sublingual immunotherapy (SLIT) for allergy care. For our patients, we're combining the convenience of telehealth and direct-to-consumer care with an exceptional patient experience that never loses the context of care.\r\n\r\nWyndly represents an opportunity to change allergy care forever. With 60 million Americans suffering from allergies today, and with this number doubling over the coming years, there's simply an incredible need for the convenient care Wyndly provides. \r\n\r\nYou can read more about us in [Techcrunch](https://techcrunch.com/2021/02/12/wyndly-aims-to-bring-allergy-drops-to-the-masses/).\r\n\r\nThe Wyndly Model \r\n\r\nAt Wyndly, we believe that better connections lead to better care, and we’re committed to making both happen at every step of the patient journey. Our allergy practice allows our patients to work with expert providers to develop personalized treatment plans for long-term allergy relief using clinically proven therapies. From a patient’s initial consultation to their final treatment delivery, we want the Wyndly experience to be a breath of fresh air for allergy sufferers – truly effective allergy relief, simply and efficiently delivered.\r\n\r\nOnce we've conquered allergies, we're transforming the care model for every chronic condition. While transactional care for purchasing pills has flourished in telehealth, no one has gone after chronic care. Patients with chronic conditions are shuffled between providers, insurance, and more -- and they never feel heard. These patients deserve better, and we're going to give it to them. Wyndly is starting with allergies, but we'll expand into asthma, sleep apnea, and other conditions in the near future.\r\n\r\nOur values\r\n\r\n**Compassion**: We approach all our patients and partners with an open mind and a genuine desire to be of service.\r\n\r\n**Focus**: We do a few things very well, and are always clear about our boundaries and direction of travel.\r\n\r\n**Courage**: We embrace ambiguity and discomfort because we know that’s how we grow.\r\n\r\n**Progress**: We make something better every single day.\r\n\r\n*It boils down to empathy and forward momentum in everything we do.*\r\n\r\nThe team\r\n\r\nWyndly is proudly backed by Y Combinator and a leading group of angel investors and VCs. The founders are Dr. Manan Shah (Chief Medical Officer), an ear-nose-and-throat surgeon who’s a leading practitioner of telehealth in his specialty, and his cousin Aakash Shah (CEO), who led growth  engineering at SparkGift (acquired by Stockpile in 2016) and Parse.ly (acquired by Automattic in 2021).",
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        "full_name": "Aakash Shah",
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        "title": "How Wyndly Grew an Allergy Business on Reddit and YouTube",
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        "url": "https://news.virginia.edu/content/turning-doctors-office-digital-business-alumnus-leading-allergy-fight",
        "date": "Apr 12, 2023"
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        "id": 64839,
        "title": "🐶🌷🐱 Wyndly - Fix your pollen, pet, or other allergies for life",
        "tagline": "Fix your immune system's allergy response with personalized medicine shipped to you",
        "body": "Hello  👋,\n\nWe're Aakash and Manan, and we're thrilled to showcase Wyndly!\n\nThe way we treat allergies today, with Zyrtec and Claritin, is medieval medicine. It doesn't solve the underlying problem; it just tries to cover it up. \n\nAllergy immunotherapy is the future. Most people don't realize that allergies are now a **curable** disease. In the future, taking Claritin for allergies is going to seem like taking Tylenol for an ear infection. Why would you treat the symptoms when you could just cure the disease?\n\nOur home allergy therapy builds up your immune tolerance against your allergies. This fixes the root cause of your symptoms, lets you forget about the pills, and provides lifelong relief. This clinically-proven treatment is now available via telemedicine.\n\n* Do you have a pet allergy but want a puppy 🐕?\n* Do you buy Kleenex in bulk?\n* Are you sick of your child’s never-ending cold?\n* Are you tired of allergy shots?\n\nLet Wyndly change your life forever. Our doctors are able to see, test, and treat patients for their allergies across the nation. \n\nStart with our 5 minute [at-home allergy test](https://www.wyndly.com/products/at-home-allergy-test-kit), or use insurance [to see a doctor (in CO, CA, FL only, right now).](https://www.wyndly.com/pages/allergy-consult-with-insurance)\n\n## Why allergies are a big deal\n\n40 million allergy sufferers in the US treat their allergies like a chronic condition — they take multiple medications to manage their symptoms. Imagine medicine cabinets full of Zyrtec, Claritin, Singular, Flonase, and more — all taken regularly. Most sufferers don't realize they can free themselves from these medications and allergies.\n\nManan Shah, is a board-certified ENT and allergist who has fixed thousands of patients of their allergies. During the COVID-19 crisis, we started Wyndly because Manan realized patients loved curing their allergies entirely from home.\n\n## How Wyndly fixes allergies\n\nWyndly uses home allergy immunotherapy to build up your immune system naturally so you can throw away the pills and live allergy-free.\n\nWe made the immunotherapy process as convenient as possible for our patients. Here's what it looks like:\n\n* Our nationally-certified allergy test is taken at home. It only requires a single finger-prick — not dozens of needles like an in-office allergy test.\n* Using these test results, we mix you personalized allergy drops which are taken by mouth. We send them straight to your door.\n* You have unlimited access to our medical care team. Our free online visits can be done on video, phone, or secure chat. We're with you from your initial consult to the day that you're allergy-free.\n\n### What are allergy drops?\n\nAllergy drops, also known as oral allergy immunotherapy, are a scientifically proven way to reduce allergic reactions which cause your sneezing, stuffiness, and constant runny nose. Similar to allergy shots, allergy drops work by introducing escalating doses of your personal allergy triggers to your body. This personalized treatment allows you to safely and naturally build up a tolerance. Over time, this reduces your allergy symptoms for the rest of your life.\n\nYour allergy symptoms will start to reduce within 6 weeks, and over the course of your therapy you'll develop life-long tolerance to your allergens.",
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        "body": "### **The Chronic illness crisis - Now or Never❌**\n\nA chronic condition is a long-term health issue like diabetes, Arthritis, etc.. that doesn’t have a complete cure. The only way to deal with them is to cultivate sustainable dietary and lifestyle habits.\n\nChronic conditions have always been on the rise due to changing lifestyles, dietary habits, and environmental factors. The COVID-19 pandemic has only served to intensify this alarming trend, catapulting it to new heights.\n\nTo put it in perspective, Today more than **70%** of the adult population in the US report having one or more long-term health conditions that impact their quality of life and this number is rising.\\\n\\\n_Chronic illnesses account for **75% of all healthcare expenses** in the US._\n\nAlthough genetics play a role, most chronic illnesses are influenced by social determinants of health, such as sleep, diet, fitness, and stress. The power to make a difference lies largely with the individual.\n\nIn order to solve this problem, we need to shift the agency. So far the agents of healthcare have been doctors, nurses, and paramedics and the venue of healthcare has been hospitals and clinics and this needs to shift. The agent has to be the individual themselves and the venue has to be wherever the individual is, the home, their office, or wherever else.\n\n### **What’s the problem with Chronic condition management now?**\n\nI’ll walk you through the problems of the existing approach through the **story of our client👩🏻** Jennifer who is a lawyer in London.\n\nShe has a busy life and started experiencing peri-menopause symptoms like gut issues and hot flashes at 50.\n\nShe took medication but they only gave her temporary relief.\n\nThe symptoms kept on coming back and this affected her family and work life causing a lot of stress for her.\n\nHer mental health took a toll and that impacted her physical health.\n\nShe became trapped in a vicious flywheel, where her declining mental health fueled her physical deterioration, and vice versa.\n\n### **Our Solution✅**\n\nJennifer joined our program.\n\nShe received personalized Ayurvedic diet plans based on her body type. Through the program, she learned healthy diet habits and how to eat food in the right way, discovering the power of food as medicine.\n\nJennifer had a dedicated health coach who kept her motivated and supported her throughout her healing journey. She also did 1-1 therapeutic yoga sessions that were tailor-made for her condition. These sessions not only provided physical exercise but also helped her calm down in a way that a normal yoga session wouldn't.\n\nIn addition to this, Jennifer had access to a community of supportive women who were going through the same phase as her, creating a sense of belonging and support.\n\nOur Nirva app helped Jennifer stay accountable to her goals through customized progress tracking. The app provided her with a gamified healing experience and helped her build sustainable dietary and lifestyle habits.\n\nWith consistent effort, Jennifer's symptoms subsided within just 3 months. She gained control over her health and her life, and we couldn't be happier to have been a part of her journey.\n\n![uploaded image](/media/?type=post&id=70803&key=user_uploads/528396/b0c71ae2-86ee-4d8c-8052-dd8c006a85ad)\n\nOur customer love is Insane-Don’t have to take our word for it. Check it out yourself.\n\n![uploaded image](/media/?type=post&id=70803&key=user_uploads/528396/b19c873a-c0de-4cde-8e53-c626034c4fff)\n\n[Watch Client Testimonials](https://youtu.be/z9gYV6ktwGU)\n\n### **Tell me more! Really? 😁Cool, let me share our results.**\n\nOur success in treating gut issues and managing menopause symptoms is a testament to the power of this approach.\n\n![uploaded image](/media/?type=post&id=70803&key=user_uploads/528396/18362ff2-5125-4921-8e90-7eefa666fdae)\n\n![uploaded image](/media/?type=post&id=70803&key=user_uploads/528396/8d33a1a0-058f-4dc1-84bf-298ec3e3b8d9)\n\n### Help us by\n\n**Letting your friends and family know about us!** \n\nIs anyone you know suffering from gut health issues or joint issues? Or do you have women in your life struggling with menopause symptoms? Help them connect with us. Book a [free consultation](https://bit.ly/nirvahealth_yc) with our health coach or DM us on our Instagram account- [@nirvahealth](https://www.instagram.com/nirva.health/)\n\n**Helping us connect with startups that could benefit from partnering with us** \n\nWe would love to connect and explore potential collaborations.\n\n**Investors connect**\\\nWe're raising the seed round for Nirva. If you believe the future of healthcare should move away from reactive treatments and focus on proactive wellness, reach out to us. Please reach out to [nived@nirvahealth.com](mailto:nivedn3@nirvahealth.com)!",
        "url": "https://www.ycombinator.com/launches/IPz-nirva-redefining-chronic-disease-management",
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        "full_name": "Ashish Advani",
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    "name": "Redcliffe Lifetech",
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        "full_name": "Aditya Kandoi",
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        "founder_bio": "Aditya Kandoi was in consulting roles with Deloitte, Barclays, American Express in health and built health tech ventures in the past. He is passionate around women health and have depth in Indian Healthcare market with deep focus on Health-tech, his other strengths are around Digital Health operations.",
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      {
        "title": "Savista partners with Triomics to launch industry’s first automated, full-stack cancer registry solution",
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        "title": "MSK to Deploy Triomics’ AI Platform to Improve Clinical Trial Matching and Screening  | Memorial Sloan Kettering Cancer Center",
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        "url": "https://techcrunch.com/2024/05/09/triomics-raises-15m-for-cancer-clinical-trials-a/",
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        "url": "https://www.ycombinator.com/companies/legion-health/jobs/9vq3Zfq-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-arizona",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104948,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Arkansas",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/7DLSbTk-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-arkansas",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104949,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | California",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/Aw7HwEH-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-california",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104950,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Colorado",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/soAc8OX-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-colorado",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104951,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Connecticut",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/2KhGe8V-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-connecticut",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104952,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Delaware",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/12Crs0z-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-delaware",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104953,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Florida",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/0OtPmXi-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-florida",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104954,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Georgia",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/jzBtwKd-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-georgia",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104955,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Hawaii",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/tFyPzIV-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-hawaii",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
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        "visa": "US citizen/visa only",
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      },
      {
        "id": 104956,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Idaho",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/B7EG8s7-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-idaho",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "$300K - $500K",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104957,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Illinois",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/muC46wQ-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-illinois",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
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        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104958,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Indiana",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/e5tbk0R-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-indiana",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104959,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Iowa",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/aqqmupj-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-iowa",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104960,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Kansas",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/j65oO4J-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-kansas",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104961,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Kentucky",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/rdiFS63-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-kentucky",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104962,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Louisiana",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/LsnHhBU-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-louisiana",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104963,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Maine",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/BM4wS9N-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-maine",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104964,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Maryland",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/jBohWDy-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-maryland",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104965,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Massachusetts",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/lQoCOuh-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-massachusetts",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104966,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Michigan",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/mHGnfUV-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-michigan",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104967,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Minnesota",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/UOr27Bd-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-minnesota",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104968,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Mississippi",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/OVdTTex-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-mississippi",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104969,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Missouri",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/fvDrvoM-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-missouri",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "$300K - $500K",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104970,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Montana",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/6LisWNK-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-montana",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "$300K - $500K",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104971,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Nebraska",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/JyjOUT1-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-nebraska",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104972,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Nevada",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/hE4eyHL-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-nevada",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104973,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | New Hampshire",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/ys9JEgC-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-new-hampshire",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104974,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | New Jersey",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/WDKwrVf-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-new-jersey",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104975,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | New Mexico",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/9hbRdZ3-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-new-mexico",
        "location": "Remote (US)",
        "type": "Full-time",
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        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104976,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | New York",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/RqYKrEp-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-new-york",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104977,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | North Carolina",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/LmBlYRh-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-north-carolina",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104978,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | North Dakota",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/Dm3ReM0-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-north-dakota",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104979,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Ohio",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/LRU1M7N-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-ohio",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104980,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Oklahoma",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/Tu7I8Br-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-oklahoma",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104981,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Oregon",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/JXUOpVP-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-oregon",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104982,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Pennsylvania",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/Xw5REwO-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-pennsylvania",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104983,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Rhode Island",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/Tvu6kEu-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-rhode-island",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104984,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | South Carolina",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/rFxJLfL-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-south-carolina",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104985,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | South Dakota",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/ZuI4yvH-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-south-dakota",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104986,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Tennessee",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/MlE4aLr-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-tennessee",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104987,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Texas",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/Jdu5zcJ-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-texas",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104988,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Utah",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/8cSGPkQ-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-utah",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104989,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Vermont",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/68iWOAq-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-vermont",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104990,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Virginia",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/rwhvRcq-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-virginia",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104991,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Washington",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/JuZvkW8-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-washington",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104992,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | West Virginia",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/0zaXYge-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-west-virginia",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104993,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Wisconsin",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/iLLKzq7-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-wisconsin",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104994,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Wyoming",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/dp7L14W-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-wyoming",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104995,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | District of Columbia",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/656tpMx-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-district-of-columbia",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104996,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | American Samoa",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/z5tEg1j-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-american-samoa",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104997,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Guam",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/ApYAPDf-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-guam",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104998,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Commonwealth of the Northern Mariana Islands",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/eDxJvs7-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-commonwealth-of-the-northern-mariana-islands",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104999,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Puerto Rico",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/rCy9VcY-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-puerto-rico",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105000,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | U.S. Virgin Islands",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/8kHCuQQ-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-u-s-virgin-islands",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105001,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Alabama",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/4EsyZQV-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-alabama",
        "location": "Remote (US)",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$50K - $150K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105002,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Florida",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/v8nnp4A-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-florida",
        "location": "Remote (US)",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$50K - $150K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105003,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Georgia",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/srfOk3D-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-georgia",
        "location": "Remote (US)",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$50K - $150K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105004,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Louisiana",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/hVRk4Dx-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-louisiana",
        "location": "Remote (US)",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$50K - $150K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105005,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Mississippi",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/6lnOWuU-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-mississippi",
        "location": "Remote (US)",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$50K - $150K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105006,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Missouri",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/VjCRZUK-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-missouri",
        "location": "Remote (US)",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$50K - $150K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105007,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | North Carolina",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/afJ3KfX-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-north-carolina",
        "location": "Remote (US)",
        "type": "Contract",
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        "role_type": null,
        "salary_range": "$50K - $150K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105008,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Ohio",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/ssoS0TR-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-ohio",
        "location": "Remote (US)",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$50K - $150K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105009,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Pennsylvania",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/uSpfR7h-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-pennsylvania",
        "location": "Remote (US)",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$50K - $150K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105010,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | South Carolina",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/1kMVtWm-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-south-carolina",
        "location": "Remote (US)",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$50K - $150K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105011,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Texas",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/MnbS9ru-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-texas",
        "location": "Remote (US)",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$50K - $150K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105012,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Wisconsin",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/1sJmbyW-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-wisconsin",
        "location": "Remote (US)",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$50K - $150K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105013,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Connecticut",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/4qKELwk-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-connecticut",
        "location": "Remote (US)",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$50K - $150K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105014,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Kentucky",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/CU2oOo3-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-kentucky",
        "location": "Remote (US)",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$50K - $150K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105015,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | New Jersey",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/ROsOt14-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-new-jersey",
        "location": "Remote (US)",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$50K - $150K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105016,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | New York",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/65jaAuq-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-new-york",
        "location": "Remote (US)",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$50K - $150K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105017,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Oklahoma",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/w1bJzmc-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-oklahoma",
        "location": "Remote (US)",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$50K - $150K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105018,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Virginia",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/HyiBQb3-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-virginia",
        "location": "Remote (US)",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$50K - $150K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105019,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Arkansas",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/dhOydo0-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-arkansas",
        "location": "Remote (US)",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$50K - $150K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105020,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Illinois",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/efr6ZP9-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-illinois",
        "location": "Remote (US)",
        "type": "Contract",
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      },
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        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Indiana",
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      {
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        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Michigan",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/wVVmV1Y-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-michigan",
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        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Nevada",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/InxU9da-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-nevada",
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        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Tennessee",
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        "url": "https://www.ycombinator.com/companies/legion-health/jobs/Z3a9Xdj-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-multiple-states",
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        "url": "https://www.ycombinator.com/companies/legion-health/jobs/s9Ex925-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-alabama",
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        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Alaska",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/q8bO8tH-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-alaska",
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        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Connecticut",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/cZOZB1k-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-connecticut",
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        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Colorado",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/20mvLsl-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-colorado",
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        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Arizona",
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        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Illinois",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/sXyMQMv-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-illinois",
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        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Georgia",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/6Soy5ir-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-georgia",
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        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Hawaii",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/Ln54fcn-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-hawaii",
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        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Idaho",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/fKBWfaq-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-idaho",
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        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Florida",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/6znIgZy-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-florida",
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        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Delaware",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/SECXoHF-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-delaware",
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        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Indiana",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/nxh4qEu-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-indiana",
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        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Iowa",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/rDSiCEZ-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-iowa",
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        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Kansas",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/IB3ZEck-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-kansas",
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        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Kentucky",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/RgHQBA4-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-kentucky",
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      {
        "id": 105044,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Maryland",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/jYkOIOn-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-maryland",
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      {
        "id": 105045,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Massachusetts",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/rsthatj-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-massachusetts",
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      {
        "id": 105046,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Maine",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/xXHKdls-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-maine",
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      },
      {
        "id": 105047,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Louisiana",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/tm6LwO8-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-louisiana",
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      {
        "id": 105048,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Missouri",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/9DVu80I-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-missouri",
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      {
        "id": 105049,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Nebraska",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/PFtpgtA-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-nebraska",
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      },
      {
        "id": 105050,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Minnesota",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/MZnE5Q9-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-minnesota",
        "location": "Remote (US)",
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        "salary_range": "$150K - $300K",
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      },
      {
        "id": 105051,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Michigan",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/6NyfYUj-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-michigan",
        "location": "Remote (US)",
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        "salary_range": "$150K - $300K",
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      },
      {
        "id": 105052,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Mississippi",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/4SfiQE3-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-mississippi",
        "location": "Remote (US)",
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        "salary_range": "$150K - $300K",
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      },
      {
        "id": 105053,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Nevada",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/60cdIWW-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-nevada",
        "location": "Remote (US)",
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        "salary_range": "$150K - $300K",
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      },
      {
        "id": 105054,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | New Hampshire",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/lxBHu0J-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-new-hampshire",
        "location": "Remote (US)",
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        "salary_range": "$150K - $300K",
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      },
      {
        "id": 105055,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Montana",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/EmuEcYT-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-montana",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105056,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | New Mexico",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/2nc6PZU-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-new-mexico",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105057,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | New York",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/k7NRPet-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-new-york",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105058,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | New Jersey",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/wDwcd7c-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-new-jersey",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105059,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | North Carolina",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/65WugQH-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-north-carolina",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105060,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Ohio",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/s5zQfzv-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-ohio",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105061,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Oregon",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/stijs74-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-oregon",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105062,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | North Dakota",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/33Xi6vk-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-north-dakota",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105063,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Oklahoma",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/ekZihQZ-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-oklahoma",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105064,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | South Carolina",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/eXNiM9I-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-south-carolina",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105065,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | South Dakota",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/XKy9YFH-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-south-dakota",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105066,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Pennsylvania",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/nCg63sa-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-pennsylvania",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105067,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Rhode Island",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/ie6zCJY-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-rhode-island",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105068,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Texas",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/yQ1RxXH-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-texas",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105069,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Tennessee",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/UWm8LWZ-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-tennessee",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105070,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Vermont",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/dKaKRkj-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-vermont",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105071,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Utah",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/FxUlsUI-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-utah",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105072,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Wisconsin",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/TAU1dgw-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-wisconsin",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105073,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Washington",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/2yNonMa-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-washington",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105074,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | West Virginia",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/mDffzRr-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-west-virginia",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105075,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Alabama",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/0I6uvXI-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-alabama",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 107528,
        "title": "Principal Engineer (backed by Y Combinator, $5M+ ARR, $23M+ raised)",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/ntRNuwO-principal-engineer-backed-by-y-combinator-5m-arr-23m-raised",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$250K - $400K",
        "equity_range": "",
        "experience": "8+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 99205,
        "title": "Legion Health — Autonomous medical care, starting with fully AI-powered psychiatric medication prescriptions",
        "tagline": "Legion is building full-stack, AI-native care delivery system for medicine: from an AI-native clinic, to semi-autonomous care with clinician supervision, to fully autonomous care",
        "body": "Hi Y Combinator Community! We’re Yash, Danny, and Arthur, the founders of Legion Health.\n\nAt Legion, **we’re building autonomous medical care**, starting in psychiatry.\n\n![uploaded image](/media/?type=post&id=99205&key=user_uploads/616238/f421f535-9738-4e44-ab44-05bd70f7c1f1)\n\nWe previously launched Legion as an AI-native psychiatry clinic ([see here](https://www.ycombinator.com/launches/LT4-legion-health-world-class-ai-enabled-psychiatry-covered-by-insurance)). We’re relaunching now because we recently crossed an important threshold: Legion has received regulatory authorization for fully AI-powered renewals of psychiatric maintenance medications. To our knowledge, this makes Legion the first mental health company ever to have approval to let AI provide actual medical care.\n\nThis is a meaningful product update for us because it is the first time AI in Legion can directly execute a real clinical workflow in production. Until now, most of the value we created came from making the clinic itself dramatically more efficient by automating 95%+ of the admin work. This is different. This is AI-native care delivery moving from support work into clinical action inside a live, regulated system.\n\n# TL;DR\n\nLegion Health is building autonomous medical care. We started by building an AI-native psychiatry clinic, and we’re now launching the next step: in Utah, Legion has received regulatory authorization for AI-led renewals of eligible psychiatric maintenance medications.\n\nWe think this is an important proof point that medical care can move from clinician-led workflows, to AI-led workflows with supervision, and eventually to fully autonomous care in well-scoped pathways.\n\n# The problem\n\n![uploaded image](/media/?type=post&id=99205&key=user_uploads/616238/55fd5ce0-2b67-4eef-9477-8c6e0841bb56)\n\nPsychiatry (mental health + medicine) is one of the clearest categories where a new site of care is needed.\n\nThe issue is not that people do not want care. It is that the system cannot deliver enough of it. There are too few psychiatric providers, too much administrative overhead, and too much friction between a patient needing help and a patient actually getting actionable clinical resolution.\n\nEven in the simplest cases, the system breaks down. A patient who is stable on a medication that is already working can still be forced to wait days or weeks, book a visit, incur costs, chase the pharmacy, and spend time and energy navigating the process instead of getting better. That is not a small inconvenience. It is a direct consequence of a care model built around scarce clinician minutes and fragmented operations.\n\nBut continuity is the unit, not visits. Mental health care works best when care is longitudinal, not episodic; when the system can follow the patient over time, resolve routine needs quickly, and escalate humans when something truly requires human judgment.\n\nThat is why we believe psychiatry (and medicine in general) needs a new digital front door to care: one that is always available, clinically actionable, and connected to licensed clinicians whenever escalation is needed.\n\n# Our progression: AI-native clinic -> semi-autonomous care -> fully autonomous care\n\n![uploaded image](/media/?type=post&id=99205&key=user_uploads/616238/949a0a17-f47b-466c-9948-e66ad8e57741)\n\nWe have always thought the path to autonomy matters just as much as the destination.\n\n### Phase 1: AI-native psychiatry clinic\n\nPhase 1 was the AI-native clinic. We built a real psychiatry clinic where human psychiatrists and AI agents work together to provide high-quality care directly to patients. That forced us to solve the hard, messy parts of the real world first: intake, scheduling, medical records, pharmacy coordination, prior authorizations, reimbursement, follow-up, and clinical escalation. In the process, we built a clinical + operational + reimbursement + regulatory stack in one system.\n\n**Demo:** Garry Tan recently featured Legion on Y Combinator’s YouTube, and here we show our AI operating system that allows us to take care of a huge clinic with an extremely small admin team, using automations and agents.\n\n<https://www.youtube.com/watch?v=rWUWfj_PqmM&amp;t=273s>\n\nThe Legion segment starts around 4:33.\n\n### Phase 2: Semi-autonomous care with clinician supervision (today)\n\nPhase 2 is what we are launching now: semi-autonomous care with clinician supervision. In this model, AI handles the default workflow in narrow, safety-scoped pathways, and clinicians supervise exceptions, ambiguity, and higher-complexity cases. The Utah renewals workflow is our first real example of this. It is the bridge from AI assisting clinicians to AI executing narrowly scoped clinical work, with clinician escalation when needed.\n\n**Our social media and press launch for our first-ever pilot in mental health:**\n\nLinkedIn: <https://www.linkedin.com/posts/yashmpatel1_today-we-took-another-huge-step-toward-truly-activity-7443320080760942592-27FX?utm_source=share&amp;utm_medium=member_desktop&amp;rcm=ACoAACKkTu8BFJG1YHsaT6kWOskKDexaBBvfIn8>\n\nX: <https://x.com/ArthurMacwaters/status/2037479229294874918?s=20>\n\nPress release: <https://nypost.com/2026/03/27/business/artificial-intelligence-can-now-prescribe-mental-health-drugs>\n\n### Phase 3: Fully autonomous care\n\nPhase 3 is fully autonomous care in the future. Over time, we believe more workflows will move from clinician-led to AI-led with supervision, to fully autonomous in well-scoped pathways with hard guardrails, continuous auditing, and mandatory escalation when appropriate.\n\nWe do not think medicine jumps from zero to full autonomy overnight. We think it gets there one real workflow at a time.\n\n# What we launched\n\n![uploaded image](/media/?type=post&id=99205&key=user_uploads/616238/7dafbb1d-8746-47cb-b95c-2f59185fd011)\n\nIn Utah, Legion is rolling out AI-led renewals for eligible lower-risk psychiatric maintenance medications.\n\nThe workflow is intentionally narrow and safety-scoped. Patients explicitly opt in, are clearly told they are interacting with AI, go through identity verification, and complete a focused safety review grounded in medication and chart context. If anything is ambiguous, higher-risk, or out of scope, the case escalates to a clinician. Patients can also request human review at any point.\n\nWe started with renewals because renewals are a perfect example of what is broken in mental healthcare today, and because they are exactly the kind of routine, high-friction workflow that should eventually become software-handled by default inside a real care-delivery system.\n\n# Why is this such an important step in healthcare AI?\n\nAt first glance, a refill may sound narrow. We think that is exactly why it matters.\n\nIf AI cannot safely take on a constrained, repetitive, clinically meaningful workflow like renewals, then talk of autonomous care is still mostly theory. But if AI can safely execute a narrow clinical workflow in production, under explicit guardrails, with clinician escalation when needed, then the future starts to become concrete.\n\nThat is what this launch represents.\n\nIt is not just a faster refill. It is a proof point that care can start moving:\n\n* from information to clinical action\n* from copilot to autopilot\n* from clinician-led workflows everywhere to clinician-led exceptions where they matter most\n* from scarcity-based care to a system that can eventually support abundance\n\nWe think this is the next important step toward the real solution: medical care that is always available, high-frequency, longitudinal, more personalized, more consistent, and able to scale far beyond clinician supply alone.\n\n# Why we had to build a clinic first\n\nWe did not start with a chatbot. We started by building the clinic.\n\nThat gave us something much more valuable than a thin AI layer: a unified data layer across records, prescriptions, scheduling, messaging, and follow-up; real operational feedback loops; clinician escalation pathways; and the infrastructure required to turn AI into actionable clinical resolution in the real world.\n\nWe think that is the real moat here.\n\nThe company that wins this category will not just have impressive models. It will own the default entry point to care, the patient relationship, the workflows, the regulatory trust, and the feedback loops required to make AI-native care delivery safe and real.\n\n# Why we started Legion Health\n\nMy co-founders and I have known each other for 12 years and were roommates at Princeton. I ([Yash](https://www.linkedin.com/in/yashmpatel1/)) worked on Medicare and Medicaid payment policy at the Congressional Budget Office, [Danny](https://www.linkedin.com/in/danielgwilson/) brings deep AI and engineering experience from Microsoft, and [Arthur](https://www.linkedin.com/in/arthur-macwaters/) brings product and operations depth from McKinsey.\n\nThis problem is also deeply personal to us. We started Legion because we have seen how broken the medical system can feel when someone actually needs help, and we want to build the kind of system we wish existed for people we love.\n\n![uploaded image](/media/?type=post&id=99205&key=user_uploads/616238/0d9011ba-2414-4482-8dfa-b481fdf51a5c)\n\n# Call to action\n\nIf you’re a **cracked engineer**, and you care about working on hard problems that impact real humans, we want to hear from you.\n\nIf you’re an **investor** who believes in a future where humans and AI work together to solve humanity’s biggest problems, we want to hear from you.\n\nIf you work in **digital health, payer partnerships, state/federal government, or AI-native care delivery** and want to talk, we want to hear from you.\n\nContact: [yash@legionhealth.com](mailto:yash@legionhealth.com)",
        "url": "https://www.ycombinator.com/launches/Po5-legion-health-autonomous-medical-care-starting-with-fully-ai-powered-psychiatric-medication-prescriptions",
        "votes": 12,
        "created_at": "2026-03-30T00:36:43.759Z"
      },
      {
        "id": 82526,
        "title": "🧠 Legion Health — World-class, AI-enabled psychiatry covered by insurance",
        "tagline": "We use AI and accept insurance so our psychiatric providers can take better care of more patients. ",
        "body": "# **🔍 TL;DR:**\n\nFor patients, we deliver world-class psychiatric care covered by insurance. For providers, our tech + LLM agents reduce administrative burden, increase payments, and enable high-quality care at scale. Check us out on our [website](https://legionhealth.com/)—if you’re in Texas and need care, we’d love to help.\n\nHi everyone! We’re [Yash](https://www.linkedin.com/in/yashmpatel1/), [Danny](https://www.linkedin.com/in/danielgwilson/), and [Arthur](https://www.linkedin.com/in/arthur-macwaters/)— and we're on a mission to build the largest network of psychiatric providers in the country and integrate LLMs into every facet of delivering care, ensuring patients can access high-quality, affordable treatment at scale.\n\n![uploaded image](/media/?type=post&id=82526&key=user_uploads/616238/b8caac8c-b744-4be6-9f78-c1e7cba87314)\n\n# **💔 Problem: Finding an available psychiatrist who accepts insurance can be brutal**\n\nIn the United States, only [around half of psychiatrists](https://jamanetwork.com/journals/jamapsychiatry/fullarticle/1785174) accept commercial health insurance, compared to over 90% of other medical specialists. This rate is [even lower](https://www.healthaffairs.org/doi/10.1377/hlthaff.2017.0325) for specific insurance plans. Moreover, [less than 20%](https://www.notion.so/Transcript-Patient-Messaging-11fb811d9b614ea5bf55b52445aee739?pvs=21) of psychiatrists are accepting new patients. For those who are, the median wait time for an in-person initial appointment is over 60 days.\n\nMany psychiatrists avoid taking insurance because the financial and administrative burdens outweigh the benefits. After covering administrative staff (scheduling, billing, patient support), paying for office space, and disputing insurance denials and underpayments, little profit remains for the psychiatrist.\n\nFor patients with serious mental health concerns, this lack of access and affordability can literally cost lives. The three of us deeply care about mental health and have personally experienced the difficulty of finding high-quality, affordable psychiatric care for ourselves, our family, and our friends.\n\n# **🌱 Opportunity: A huge and growing need**\n\nPost-COVID, [around 32% of U.S. adults](https://www.kff.org/other/state-indicator/adults-reporting-symptoms-of-anxiety-or-depressive-disorder-during-covid-19-pandemic/?currentTimeframe=0&selectedRows=%7B%22states%22:%7B%22all%22:%7B%7D%7D,%22wrapups%22:%7B%22united-states%22:%7B%7D%7D%7D&sortModel=%7B%22colId%22:%22Location%22,%22sort%22:%22asc%22%7D) experience mental health conditions annually, equating to about 83 million people. [Approximately 50%](https://www.samhsa.gov/data/sites/default/files/reports/rpt39443/2021NSDUHFFRRev010323.pdf) of these individuals, or 42 million, do not receive necessary treatment. About 25% of those with mental health issues, or 10 million people, require psychiatric care (rather than perhaps just therapy). With a conservative annual cost of $2,500 per patient, this translates to an unmet market opportunity of approximately $25 billion. The demand for psychiatric services is growing at [about 4.1% annually](https://www.grandviewresearch.com/industry-analysis/us-psychiatry-clinic-market-report). Additionally, [over 60% of U.S. counties](https://www.aamc.org/news/growing-psychiatrist-shortage-enormous-demand-mental-health-services) lack a psychiatrist, leaving these areas particularly underserved.\n\n# **💡 Solution: Using tech + AI to make high-quality psychiatric care viable and scalable**\n\nLegion Health is a network of psychiatric providers delivering world-class care to insured patients. Our software and AI dramatically reduce costs by minimizing capital expenses through telehealth and lowering operational costs with AI agents that enhance workflows and manage patient care with minimal human intervention.\n\nBy directly hiring our providers, we can quickly implement technology in a sandbox environment. Furthermore, as we scale, our stacking LLM agents continuously improve, enhancing care quality and patient experience. Unlike other VC-backed mental health companies (e.g., Betterhelp, Cerebral), we 1) accept insurance, 2) emphasize high-quality and ethical care, and 3) have genuine AI expertise.\n\nAt Legion Health, most patients:\n\n* See a psychiatric provider within a week.\n* Pay $30 or less out of pocket.\n* Pick up their medication from the pharmacy within 24 hours.\n* Receive rapid responses to messages from their provider or our front desk.\n* Actually see an improvement in their mental health due to high-quality treatment.\n\n![uploaded image](/media/?type=post&id=82526&key=user_uploads/616238/76d1fa28-a33e-4de9-bc7c-901e11d31105)\n\n# **📢 Asks**\n\n1. If you or someone you know in Texas needs psychiatric care, we'd love to help and gather feedback for product improvement.\n   * Sign up or refer patients using this link: [access this link](https://legionhealth.com/)\n2. We're hiring mission-driven, world-class individuals for the following roles. We’d love introductions to any potential candidates in your network:\n   * AI Engineer (preferably with experience in autonomous driving or machine learning)\n   * [Technical Growth/Product Marketing Lead](https://www.ycombinator.com/companies/legion-health/jobs/9JHdQqJ-technical-product-marketing-lead-legion-health-y-combinator-startup) (preferably consumer-focused)\n   * Product Designer (preferably consumer-focused)\n   * [Founding Clinical Operations Lead](https://www.squarepeghires.com/jobs/r410jr/founding-clinical-operations-lead-lcsw-legion-health-remote-preference-for-texas) (ideally, a tech-savvy mental health leader)\n3. Share this post! Please help spread the word, as many people struggle to find accessible, high-quality psychiatric care.\n4. Connect us with **Providers** (psychiatrists, psychiatric nurse practitioners), **Patients**, and **Payer Leadership** in Texas.\n   * _quick blurb to copy and paste:_ A team of psychiatrists and Princeton alums is building Legion Health, a high-quality, AI-enabled psychiatry network where patients can receive care from a provider who takes their insurance. Check them out and contact founders@legionhealth.com for more.",
        "url": "https://www.ycombinator.com/launches/LT4-legion-health-world-class-ai-enabled-psychiatry-covered-by-insurance",
        "votes": 23,
        "created_at": "2024-07-29T18:01:59.447Z"
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        "full_name": "Camille Ang",
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    "name": "Serif Health",
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    "website": "https://www.serifhealth.com",
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    "long_description": "At Serif Health, we are taking the complexity out of the cost of healthcare. Our mission is to make healthcare pricing and contracting more transparent, easier to understand, fairer, and ultimately more affordable for all. New price transparency regulations have made a wealth of healthcare pricing and reimbursement data publicly available for the first time, but it is still extremely hard to ingest, organize, and actually use this data to understand the cost of care. That’s where we come in. Serif Health is building healthcare price intelligence data products and APIs to power the future of more transparent healthcare.\r\n\r\nWe are an early-stage, venture-backed startup with a small, collaborative team of healthcare experts, engineers, and designers. We are excited to add new team members motivated by our mission, passionate about making a difference in healthcare, and looking forward to learning and growing from the challenges we will face along the way!",
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        "full_name": "Matthew Francis",
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        "title": "19 Dec - Catena Biosciences",
        "url": "https://eqtfoundation.com/christmas-calendar/19-dec-catena-biosciences/",
        "date": "Jan 07, 2023"
      },
      {
        "title": "Berkeley startup aims to be a game changer in autoimmune disease therapy | Berkeley News",
        "url": "https://news.berkeley.edu/2021/07/21/berkeley-startup-aims-to-be-a-game-changer-in-autoimmune-disease-therapy/",
        "date": "Jul 21, 2021"
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    "id": 24034,
    "name": "Ananya Health",
    "slug": "ananya-health",
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    "website": "https://www.ananya.health/",
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    "name": "Shimmer",
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        "full_name": "Christal Wang",
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        "title": "Shimmer, a platform for 1:1 personalized ADHD coaching, raises $2.2M",
        "url": "https://techcrunch.com/2024/01/10/shimmer-a-platform-for-11-personalized-adhd-coaching-raises-2-2m/",
        "date": "Jan 10, 2024"
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      {
        "title": "Pitch Deck for Adult ADHD Startup Shimmer, Backed by Y Combinator",
        "url": "https://www.businessinsider.com/pitch-deck-adult-adhd-startup-shimmer-backed-by-y-combinator-2022-10",
        "date": "Oct 24, 2022"
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        "url": "https://techfundingnews.com/shimmer-launches-first-affordable-coaching-platform-to-help-people-deal-with-adhd-nets-1-3m/",
        "date": "Oct 12, 2022"
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        "title": "ADHD coaching platform Shimmer launches with $1.3M",
        "url": "https://vator.tv/news/2022-10-12-adhd-coaching-platform-shimmer-launches-with-13m",
        "date": "Oct 12, 2022"
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        "title": "Shimmer Launches First Affordable ADHD Coaching and Accountability Platform for Adults | Shimmer Blog",
        "url": "https://www.shimmer.care/blog/shimmer-adhd-coaching-launch",
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      {
        "id": 96820,
        "title": "Indy: AI support tool for ADHD",
        "tagline": "AI support system that helps with ADHD, not just your to-do list",
        "body": "tl;dr: _After supporting adults with ADHD across 80,000+ coaching sessions, we kept seeing the same gap: people gain clarity about what matters, but struggle to hold onto it in everyday life. Indy is a free, AI-powered ADHD support app designed to help people stay oriented to what matters and translate that clarity into daily action, without relying on productivity pressure or generic AI advice._\n\n_—_\n\nHi YC family! 👋\n\nWe’re Chris & Vikram, and we’re building Shimmer. Our mission is for every individual with ADHD to reach their full potential, their way. Shimmer began after I (Chris) was diagnosed with ADHD and struggled to access affordable, high-quality behavioral support. Since then, we’ve grown into the #1 ADHD coaching platform recommended by clinicians across North America.\n\nAs large language models became viable, we saw a clear opportunity. ADHD isn’t a problem of knowledge, it’s a problem of continuity. Insight is available, but support disappears between moments. AI, for the first time, makes it possible to provide consistent, personalized scaffolding in the flow of daily life.\n\nThat opportunity is what led us to build Indy.\n\n### **❌ The Challenge**\n\nAcross tens of thousands of ADHD coaching sessions, one pattern shows up again and again.\n\nBreakthroughs don’t fail because people forget what they learned. They fail because daily life takes over.\n\nPeople leave a session with clarity about what matters and where they want to go. Then the week happens. Context shifts. Energy fluctuates. Emotions spike. Urgency crowds out direction.\n\nFor ADHDers, this breakdown is predictable:\n\n1. **🧠 Executive function is state-dependent**: What feels obvious in one moment is inaccessible in another. Memory, motivation, and prioritization fluctuate with energy and emotion.\n2. **🕳 The future fades quickly**: When goals are not emotionally present, the present always wins. ADHD brains respond to what feels salient now.\n3. **⏳ Support is episodic and constrained by human capacity**: Coaching, therapy, etc. work primarily during sessions, but disappear when real decisions are being made.\n\nExisting tools don’t address this well. General AI gives answers. Productivity apps manage tasks. Neither maintains orientation or adapts as conditions change.\n\n### **✨ The AI Opportunity**\n\nAI changes what’s possible here.\n\nFor the first time, software can:\n\n* Hold personal context over time\n* Reflect patterns back to users\n* Adapt support based on energy, emotion, and behavior\n* Provide lightweight scaffolding between human interactions\n\nThis is especially powerful for ADHD, where the problem isn’t knowing what to do, but staying connected to why and when to do it.\n\n### **✨ The Solution**\n\nIndy is a daily AI-powered ADHD support system designed to help people stay oriented to what matters and translate that clarity into everyday action.\n\n![uploaded image](/media/?type=post&id=96820&key=user_uploads/608519/4f19593d-f653-4231-9af2-dec8ee54418c)\n\nHere’s how it works:\n\n1. **Future mapping**: Users map key moments from their past, present, and future to anchor what they care about and where they’re headed.\n\n   ![uploaded image](/media/?type=post&id=96820&key=user_uploads/608519/ca3c694c-2405-4ab4-a880-4248696f0539)\n\n2. **Daily and weekly check-ins**: Indy helps users set lightweight intentions, anticipate obstacles, and reflect without pressure.\n\n   ![uploaded image](/media/?type=post&id=96820&key=user_uploads/608519/01183d22-d2fc-4650-a66e-74ae3a1d3886)\n\n3. **Insights over time**: Indy turns check-ins into pattern visibility. Users start to see what drains them, what helps, where momentum shows up, and what keeps derailing progress, so they can adjust earlier.\n\n   ![uploaded image](/media/?type=post&id=96820&key=user_uploads/608519/00ed985f-2290-48c7-9c15-9ae24d10e742)\n\n4. **Problem-solving when stuck**: When friction shows up, Indy uses science-backed frameworks to help users identify what’s actually blocking progress and choose a small next step.\n\n   ![uploaded image](/media/?type=post&id=96820&key=user_uploads/608519/9faff07a-2505-4abb-9067-17aee2dbc862)\n\n5. **Progress made visible**: Wins, effort, and insights are tracked so progress doesn’t disappear just because it wasn’t perfect.\n\n   ![uploaded image](/media/?type=post&id=96820&key=user_uploads/608519/7bbaa3f4-f6a9-4c49-9161-cdd848e8de8a)\n\n\nAI gives us a chance to rethink how behavioral support works for ADHD. Indy is our first step toward making that support continuous, accessible, and humane. Check out Indy to see it in practice! And [here](https://www.shimmer.care/blog/indy-app-for-adhd-wellbeing) is the full blog post!\n\n**🙏 Asks**\n\n* Try **Indy** for free: [**https://www.shimmer.care/indy-redirect**](https://www.shimmer.care/indy-redirect)",
        "url": "https://www.ycombinator.com/launches/PBc-indy-ai-support-tool-for-adhd",
        "votes": 12,
        "created_at": "2026-01-15T08:57:37.592Z"
      },
      {
        "id": 87083,
        "title": "Shimmer 2.0: AI-assisted ADHD Coaching",
        "tagline": "The #1 ADHD Coaching Platform is now AI-enhanced",
        "body": "tl;dr: _After facilitating over 45,000 1:1 ADHD Coaching sessions, we’ve designed Shimmer 2.0, a suite of AI features to support the coaching journey. This isn’t another chatbot or copilot, it’s a suite of embedded AI tools that amplifies the human connection between member & coach—helping members get more out of sessions and between sessions._\n\n—\n\n---\n\nHi YC family! 👋\n\nWe’re Chris & Vikram, and we’re building [Shimmer](http://www.shimmer.care). Our mission is for every individual with ADHD to reach their full potential, _their way_. Shimmer ADHD Coaching was born in 2022 after I (Chris) was diagnosed with ADHD and was frustrated with the lack of affordable, quality behavioral coaching solutions. Since then, we’ve grown tremendously, building the #1 ADHD Coaching Platform recommended by HCPs, therapists, and psychiatrists across North America.\n\n<https://www.youtube.com/watch?v=kHXzu0JYVtg&t=1s>\n\n### **❌ The Challenge**\n\nAt Shimmer, we’ve run over 45,000 ADHD coaching sessions. Each session is packed with “aha” moments—but as soon as they’re over, life pulls you in a million directions and those insights slip away. To add to this, the week is often lost from lack of accountability and members come into sessions scrambling to remember the past week. Overall, for people with ADHD, it’s hard to _consistently_ hold onto what you learn, recognize bigger patterns, or stay on track day to day. Why?\n\n1. 🚧 **Our working memory challenges makes it hard to remember sessions**. Even the best breakthroughs vanish without a simple way to capture and revisit them.\n2. 👹 **We’re focused on the present & don’t always see the bigger picture (or future)**. Without a clear record, it’s tough to connect recurring themes or measure real progress.\n3. 🍬 **We lose momentum between sessions**. A coach can’t be there 24/7—and ADHD brains need constant nudges to stay motivated.\n\n### **✨ The Solution**\n\n![uploaded image](/media/?type=post&id=87083&key=user_uploads/608519/53f337be-252d-4135-9f36-9b78d22d1d5b)\n\n**Shimmer 2.0** is our new AI-powered “second brain,” doing what ADHD brains were never designed to do. Shimmer 2.0 automatically captures and organizes all your coaching insights, so you can finally spot the patterns, stay accountable, and turn each breakthrough into real-world action—even when your coach isn’t around. Here’s a bit on how it works:\n\n1. **AI-Powered Session Summaries:** Shimmer 2.0’s AI automatically recaps each session’s main points and action items, so you can easily revisit breakthroughs without piecing together scattered notes.\n\n   ![uploaded image](/media/?type=post&id=87083&key=user_uploads/608519/57f4600f-1280-4249-842b-1ee892aaa488)\n\n2. **Action Insights & Progress Tracking:** Visually map out your weekly actions, highlight patterns, and keep yourself accountable.\n\n   ![uploaded image](/media/?type=post&id=87083&key=user_uploads/608519/367d604b-cd7d-465d-ae02-9fef4addd3fa)\n\n3. **History (Second Brain):** View your entire journey in one place & instantly look up specific topics from past sessions and spot recurring themes at a glance.\n\n   ![uploaded image](/media/?type=post&id=87083&key=user_uploads/608519/ac9d5072-a251-4a37-8c1e-ae4dc05890ae)\n\n4. **Smart Search:** Lastly, my personal favorite—Ask your “second brain” the hard questions, like: “What strategies have worked for me?”, “What did my coach say about procrastination?”, “What should I be proud of”?\n\n   ![uploaded image](/media/?type=post&id=87083&key=user_uploads/608519/af1c2807-67a0-4141-922f-e2dc168185fa)\n\n\nCheck out how Shimmer 2.0 weaves **AI** into your everyday coaching experience, amplifying the power of expert human coaching.\n\n### **🙏 ASKS**\n\n* Try Shimmer (or share w/ a friend), start with an ADHD coach [here](http://www.shimmer.care/). 25% off your first month (e-mail [chris@shimmer.care](mailto:chris@shimmer.care) if you want a founder-focused coach)\n* Read [our full blog post](https://www.shimmer.care/blog/adhd-coaching-2-ai-launch) and support [our Product Hunt Launch](https://www.producthunt.com/posts/shimmer-2-0)",
        "url": "https://www.ycombinator.com/launches/MeZ-shimmer-2-0-ai-assisted-adhd-coaching",
        "votes": 12,
        "created_at": "2025-01-23T16:31:30.051Z"
      },
      {
        "id": 83793,
        "title": "✨ Shimmer Body Doubling - Get things done, the ADHD way",
        "tagline": "The #1 ADHD Coaching Platform now offers Body Doubling",
        "body": "tl;dr: _After facilitating over 31,000 1:1 ADHD Coaching sessions, Shimmer members have access to the first multi-player community feature on the Platform—Body Doubling! Shimmer’s Body Doubling experience takes the popular ADHD co-working strategy and infuses the 6 ADHD motivators to help our members get more things done, the ADHD way._\n\n---\n\nHi YC family! 👋\n\nWe’re Chris & Vikram, and we’re building [**Shimmer**](http://www.shimmer.care/). Our mission is for every individual with ADHD to reach their full potential, _their way_. Shimmer ADHD Coaching was born in 2022 after I (Chris) was diagnosed with ADHD and was frustrated with the lack of affordable, quality behavioral coaching solutions. Since then, we’ve grown tremendously, building the #1 ADHD Coaching Platform recommended by HCPs, therapists, and psychiatrists across North America.\n\n### **❌ The Challenge**\n\nBody doubling is a popular strategy for people with ADHD (it works for neurotypical people too!) to get things done. It’s basically when you work in the presence of others, and the mere existence of them gives you positive accountability to get it done. It comes in many forms, and can even look like you doing laundry while chatting with your boyfriend while he cooks.\n\nThe challenge for people with ADHD, is that they don’t do these things consistently. Why?\n\n1. 🚧 **There’s too many hurdles**. They need to coordinate with people, it’s inconsistent, and people are unreliable\n2. 👹 **They’re ashamed**. Many body doubling apps exist already, but people with ADHD feel ashamed needing this tool just for their laundry, or to cook, or to do something else that seems mundane. Imagine showing up to a session and you can barely brush your teeth, and the other person says “I’m going to finish emailing back 10 investors on closing my round and launch our new podcast to Spotify”\n3. 🍬 **There’s not enough dopamine**. Isn’t this always the challenge with ADHD?! Whatever solution is out there, it’s not built to motivate ADHD brains.\n\n### **✨ The Solution**\n\n![uploaded image](/media/?type=post&id=83793&key=user_uploads/608519/dd6ff9c4-77bc-4531-9e74-ef8e34bf9129)\n\nShimmer Body Doubling (only available to Shimmer coaching members) is an ADHD-adapted Body Doubling experience that harnesses the power of the 6 ADHD motivators—interest, urgency, newness, accountability, challenge, and community, to help people with ADHD get things done.\n\n1. Before kicking off ADHD Body Doubling sessions, check-in with your feelings & connect with those of others.\n\n   ![uploaded image](/media/?type=post&id=83793&key=user_uploads/608519/ba3ef126-616c-448d-817e-a8b7359131a1)\n\n2. Commit to discrete tasks to stay accountable and get dopamine from checking things off!\n\n   ![uploaded image](/media/?type=post&id=83793&key=user_uploads/608519/8dd2a99e-920e-47bc-adeb-71c8a80adc5a)\n\n3. Get inspired by other people’s tasks and progress. Motivation is contagious!\n\n   ![uploaded image](/media/?type=post&id=83793&key=user_uploads/608519/b3e57121-c5dc-46d8-9759-2ec7f5a59743)\n\n4. Visualize time passing (key for ADHD brains!) and beat the clock\n\n   ![uploaded image](/media/?type=post&id=83793&key=user_uploads/608519/d5776eb8-0d96-44cc-bc73-d74d8c75ebce)\n\n5. Learn something new in the 5 min break as each ADHD Coach brings their own flare\n\n   ![uploaded image](/media/?type=post&id=83793&key=user_uploads/608519/879d8e04-3b90-4cfe-bc46-2c17eed45d0f)\n\n6. If you have a challenge or problem, your community and an expert ADHD coach will be there to help you out!\n\n   ![uploaded image](/media/?type=post&id=83793&key=user_uploads/608519/d4270fef-5134-488c-b32d-e8febd7c71a8)\n\n\n### **🙏 Asks**\n\n* Try Shimmer (or share w/ a friend), start with an ADHD coach [**here**](http://www.shimmer.care/). 25% off your first month (e-mail [**chris@shimmer.care**](mailto:chris@shimmer.care) if you want a founder-focused coach)\n* We’re on [PH today](https://shimmer.care/bodydoublinglaunch) (Thu Sep 5) if you want to head over there to support 👀",
        "url": "https://www.ycombinator.com/launches/LnV-shimmer-body-doubling-get-things-done-the-adhd-way",
        "votes": 15,
        "created_at": "2024-09-05T18:37:37.628Z"
      },
      {
        "id": 73989,
        "title": "✨ Shimmer - 1:1 ADHD coaching that’s 5-10X more affordable than alternatives",
        "tagline": "The #1 ADHD Coaching Platform is now cross-platform!",
        "body": "tl;dr: _After serving 1,200+ clients since mobile launch 9 mo. ago, Shimmer Members can finally access their Coaching Journey across devices. Now members access our sleek ADHD-adapted flows to manage their ADHD and reach their full potential._\n\n\\-\n\n---\n\nWe’re Chris & Vikram, and we’re building [Shimmer](http://www.shimmer.care). Our mission is for every individual with ADHD to reach their full potential, _their way_. Shimmer ADHD Coaching was born last year after I (Chris) was diagnosed with ADHD and was frustrated with the lack of affordable, quality behavioral coaching solutions. Since then, we’ve grown tremendously, building the #1 ADHD Coaching Platform recommended by HCPs, therapists, and psychiatrists across North America.\n\n### **❌ The Challenge**\n\nAfter working closely with 1,200+ adults with ADHD, 25+ expert ADHD coaches, and top ADHD experts, we watched first-hand the challenges ADHD-ers have in reaching their best life:\n\n1. **🔭 Direction**: Not setting behavioral goals or having a “vision” future state in mind\n2. **🪓 Action**: Not making actions (consistently) that are actually in line with their goals\n3. **🤿 Depth**: Picking up and dropping productivity apps that don’t help them get to their core issue.\n\n### **✨ The Solution**\n\nThe Shimmer Web App (in conjunction with the mobile app) is the guiding tissue between our members and their full potential. Facilitated by their expert ADHD coach, members:\n\n1. Set vision and assess starting state with our Shimmer Mastery Assessment\n\n   ![uploaded image](/media/?type=post&id=73989&key=user_uploads/608519/2e0e2f4a-3966-4c47-988f-9e1fab064c81)\n\n2. Set goals right with the goal setting wizard\n\n   ![uploaded image](/media/?type=post&id=73989&key=user_uploads/608519/69b99e89-dd47-46b6-86c6-48efc8af6ac0)\n\n3. Complete actions, reflect, and celebrate\n\n   ![uploaded image](/media/?type=post&id=73989&key=user_uploads/608519/5ebd35c5-7748-48b2-87c9-841aeb16ffdb)\n\n4. Get coach support and stay accountable through shared task lists\n\n   ![uploaded image](/media/?type=post&id=73989&key=user_uploads/608519/6c506b71-0f24-453e-bde2-2230d86719ea)\n\n5. Continue learning\n\n   ![uploaded image](/media/?type=post&id=73989&key=user_uploads/608519/6405db79-0833-4f21-9bd5-037de348df00)\n\n\n### **🙏 Asks**\n\n* Try Shimmer (or share w/ a friend), start with an ADHD coach [here](http://www.shimmer.care/) and give us feedback! 30% off your first month\n\nCurious to learn more? Read our [**full blog post**](https://www.shimmer.care/blog/web-launch-adhd-coaching) and our [**Product Hunt launch**](https://www.producthunt.com/posts/shimmer-web-app)",
        "url": "https://www.ycombinator.com/launches/JFN-shimmer-1-1-adhd-coaching-that-s-5-10x-more-affordable-than-alternatives",
        "votes": 21,
        "created_at": "2023-08-10T02:16:38.837Z"
      },
      {
        "id": 66665,
        "title": "✨ Shimmer: 1:1 ADHD Coaching | 5-10X more affordable than alternatives",
        "tagline": "Meet Shimmer, your new trusted partner in your ADHD journey",
        "body": "**tl;dr:** We match individuals with **expert ADHD coaches for 1:1 coaching** at a price never offered before.\n\nHi YC family! 👋 We’re Chris & Vikram, and we’re building [Shimmer](http://www.shimmer.care). Our mission is for every individual with ADHD to reach their full potential, _their way_.\n\n**❌ The Problem**\n\nADHD is a neurodevelopmental condition that affects 5% of adults (13M in US), but most are still struggling to get their symptoms in check.\n\n* **It’s not a lack of knowledge, it’s action**: People with ADHD know to make a list, they just don’t do it. We need practice, experimentation, and accountability.\n* **Good behavioral interventions price most people out:** Quality ADHD coaching costs $300-600+/mo. This prices out, well, the people who need it most.\n* **The process is cumbersome & not fit for ADHD**: I’ve been there (Chris): dozens of consultation calls, not knowing what to ask, dated technology, confusing e-mail chains, scared to pull the trigger, the list goes on.\n\n**✨ Our Solution**\n\nShimmer is a platform that connects expert ADHD coaches with members, facilitates weekly calls, and offers accountability and support via our iOS & Android apps. By truncating or “chunking” the sessions, offering asynchronous tools & resources, and streamlining coaches’ back-end tasks, we offer coaching at 5-10X more affordable than alternatives.\n\n**⚙️ How it works**\n\n1. **Join Shimmer**—Members start with an intake form that helps kick off their personalized journey. This helps the coach choose 1 of our 3 science-backed tracks to go down.\n\n   ![uploaded image](/media/?type=post&id=66665&key=user_uploads/608519/e7fbca25-1704-4a84-82b0-76385ed12955)\n\n2. **Meet your coach**—Members meet weekly (for 15- or 45-min meetings) over video or audio to review progress, unpack topics, and set goals for the upcoming week.\n\n   ![uploaded image](/media/?type=post&id=66665&key=user_uploads/608519/4f638136-5381-46f7-8b50-3df1e27fdbb3)\n\n3. **Weekly actionable plans**—The real work happens between sessions. Members are laser-focused on the few tasks they’ve chosen for the week. The coach & app provides accountability & support throughout.\n\n   ![uploaded image](/media/?type=post&id=66665&key=user_uploads/608519/1df8635b-896d-48c3-a5d0-4ce5d9d2934d)\n\n\n**🙏 Asks**\n\n* Try Shimmer, start with an ADHD coach [here](http://www.shimmer.care). 40% off your first month.\n* Not ready yet? [Join our newsletter](http://www.shimmer.care) by October 21st for [10 days of freebies](https://www.shimmer.care/blog/10-ways-to-shimmer-intro) from our launch partners: ADDA, [Flow Club](https://www.flow.club/home-flow-club) ([S21](https://bookface.ycombinator.com/company/23972)), [Joon](https://www.joonapp.io/) ([W22](https://bookface.ycombinator.com/company/25907)), [Ruth Health](https://ruthhealth.com/) ([S21](https://bookface.ycombinator.com/company/24669)), [Zen](https://www.yayzen.com/) ([S21](https://bookface.ycombinator.com/company/24160)), [Agape](https://www.getdailyagape.com/) ([S21](https://bookface.ycombinator.com/company/23845)) and more!",
        "url": "https://www.ycombinator.com/launches/HLF-shimmer-1-1-adhd-coaching-5-10x-more-affordable-than-alternatives",
        "votes": 18,
        "created_at": "2022-10-12T16:01:48.849Z"
      }
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    "id": 24424,
    "name": "Kodda",
    "slug": "kodda",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9c8da2bba727db76895e442b23d60a8e7b942328.png",
    "website": "https://www.kodda.com/",
    "all_locations": "Monterrey, N.L., Mexico",
    "long_description": "Community that accompanies you in your transformation towards a healthy and lasting lifestyle, through guided programs made by professionals who will support you every step of the way.",
    "one_liner": "",
    "team_size": 7,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Consumer Health and Wellness",
    "launched_at": 1626825976,
    "tags": [
      "Consumer Health Services",
      "Digital Health",
      "Health & Wellness"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2021",
    "status": "Inactive",
    "industries": [
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      "Consumer Health and Wellness"
    ],
    "regions": [
      "Mexico",
      "Latin America",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/kodda",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/kodda.json",
    "year_founded": 2020,
    "city": "Monterrey",
    "country": "MX",
    "linkedin_url": "https://www.linkedin.com/company/koddacom",
    "x_url": "https://twitter.com/KoddaMx",
    "fb_url": "https://www.facebook.com/kodda.mx",
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9c8da2bba727db76895e442b23d60a8e7b942328.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 613393,
        "full_name": "Emilio Antun",
        "title": "Founder",
        "founder_bio": "Co-Founder & CEO @ Kodda\n\n",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/emilio-antun-598b68136/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a0dc5313c534cfdcb75fbf2276b851e0a0ff74ae.jpg"
      },
      {
        "user_id": 701648,
        "full_name": "Mike Alvarado",
        "title": "Founder",
        "founder_bio": "Driven by dreams.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/mikealvaradol/",
        "x_url": "https://twitter.com/MikeAlvaradoL",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4c10483647efad4af3ef8d7626af21cdc29f979c.jpg"
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    "launches": []
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  {
    "id": 24443,
    "name": "Inflow",
    "slug": "inflow",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/63a830ded6794d91b1e36abf5ae5bb0cb246fff3.png",
    "website": "https://getinflow.io/",
    "all_locations": "London, England, United Kingdom; New York, NY, USA",
    "long_description": "Inflow is a self-help app for people to manage their ADHD. They provide support through psychoeducation, habit development, and community.",
    "one_liner": "A self-help app for people to manage their ADHD.",
    "team_size": 20,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Therapeutics",
    "launched_at": 1630088307,
    "tags": [
      "Mental Health Tech",
      "Consumer Health Services"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2021",
    "status": "Acquired",
    "industries": [
      "Healthcare",
      "Therapeutics"
    ],
    "regions": [
      "United Kingdom",
      "United States of America",
      "Europe",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/inflow",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/inflow.json",
    "year_founded": 2020,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/67880058/",
    "x_url": "https://twitter.com/get_inflow",
    "fb_url": "https://www.facebook.com/InflowADHD/",
    "cb_url": "https://www.crunchbase.com/organization/inflow-605b",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/63a830ded6794d91b1e36abf5ae5bb0cb246fff3.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 674463,
        "full_name": "Levi Epstein",
        "title": "Founder",
        "founder_bio": "✔️ Co-Founder @ Inflow \n🚀On a mission to help every person with ADHD reach their full potential.\n⏮️Ex-Babylon Health Product Manager\n📚London School of Economics, Imperial\n📍London, UK",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/levi-epstein-423539a2/",
        "x_url": "https://twitter.com/LEVI_EPST9",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4001c8486acb72d4a46d9b2678776f663800f60e.jpg"
      },
      {
        "user_id": 674422,
        "full_name": "Seb Isaacs",
        "title": "Founder",
        "founder_bio": "getinflow.io",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sebastianisaacs/",
        "x_url": "https://twitter.com/sebisaacs",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7bf3148c8377c5bcf4eb40b6f3370548faa7fa8e.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Inflow, a platform for managing ADHD through cognitive behavioral therapy, raises $11M • TechCrunch",
        "url": "https://techcrunch.com/2023/01/11/inflow-a-platform-for-managing-adhd-through-cbt-raises-11m/",
        "date": "Jan 11, 2023"
      },
      {
        "title": "InFlow, a science-based app for ADHD, raises $2.3M Seed led by Hoxton Ventures – TechCrunch",
        "url": "https://techcrunch.com/2022/01/17/inflow-a-science-based-app-for-adhd-raises-2-3m-seed-led-by-hoxton-ventures/",
        "date": "Jan 17, 2022"
      }
    ],
    "launches": []
  },
  {
    "id": 24445,
    "name": "Digistain",
    "slug": "digistain",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ee811a143d9362213ecd8df87fca7780ce1945b8.png",
    "website": "https://digistain.co.uk/",
    "all_locations": "London, England, United Kingdom",
    "long_description": "In the global fight against breast cancer, Digistain stands at the forefront, offering a beacon of hope to millions. Our journey began at Imperial College London, where ground-breaking research gave birth to a technology poised to revolutionize breast cancer diagnostics.\r\n\r\nThe Challenge: Every year, breast cancer affects 2.3 million individuals globally. Post-surgery, 60% of patients are advised to undergo genomic testing, an expensive and time-consuming process monopolized by a single lab in the U.S., costing around $4,000 and taking nearly two months. Consequently, only 5% undergo this vital testing. The rest, unable to access this crucial diagnostic step, often resort to chemotherapy—a treatment that, in one in four cases, is more harmful than the cancer itself.\r\n\r\nOur Solution: Digistain addresses this critical gap. Our technology transforms the current diagnostic process by enabling hospitals to analyze patient samples in-house using existing equipment, supplemented with our innovative technology. This approach offers near-instantaneous decision-making data, a stark contrast to the existing month-long waits. Central to our technology is a proprietary algorithm that identifies a unique spectral fingerprint of the tumour in the infrared spectrum, providing a personalized risk score. This score guides oncologists in selecting the most effective, individualized treatment plans, potentially reducing unnecessary chemotherapy and its harmful side effects.\r\n\r\nImpact and Potential: Our solution not only challenges the status quo in technology but also in accessibility. In a landmark government-commissioned study, Digistain demonstrated clinical evidence on par with the market leader, but at a fraction of the cost and time. Already making waves in clinical practice globally, with insurance reimbursement at leading cancer centers, our technology represents a paradigm shift in cancer care.\r\n\r\nRecognized by the Institute of Physics, the Royal Society, and Imperial College for our innovative contributions, and supported by entities like the NHS, Y Combinator, and the European Investment Bank, Digistain is more than a company—it’s a movement towards equitable, effective cancer treatment. With the potential to democratize access to life-saving diagnostics, Digistain is not just envisioning a better future for cancer patients; we are actively creating it.\r\n ",
    "one_liner": "Pioneering Breast Cancer Diagnostics for a Healthier Tomorrow",
    "team_size": 40,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1624636740,
    "tags": [
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    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2021",
    "status": "Active",
    "industries": [
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      "Diagnostics"
    ],
    "regions": [
      "United Kingdom",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/digistain",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/digistain.json",
    "year_founded": 2019,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://uk.linkedin.com/company/digistain",
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    "founders": [
      {
        "user_id": 410138,
        "full_name": "Hemmel Amrania",
        "title": "Founder",
        "founder_bio": "Hemmel Amrania Ph.D, CEO has previously scaled several 7 figure businesses both in therapeutics and diagnostics. As a doctoral researcher he was awarded the Outstanding Research Prize at Imperial College London. He has also won several UK business awards including the Innovation & Entrepreneurship Challenge Imperial College and the Climate KIC Competition held by the Mayor of London. For Digistain he spear-headed the research out of the lab all the way through to clinical trials.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/hemmel-amrania/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d9f3ec4a24a122d7cb94bf65ef53a3cd13478559.jpg"
      },
      {
        "user_id": 739775,
        "full_name": "Chris Phillips",
        "title": "Founder",
        "founder_bio": "Chris is an Imperial College Physics Professor, researching into photovoltaics, and biomedical imaging. He's spent the last few years, with Hemmel Amrania, developing the Digistain cancer diagnosis technology with Imperial medics.\n\nHe has won a number of prizes and has explained his research on  invisibility caused by quantum optical effects to comedy legend Cleese on TV. He once rowed 500 miles non-stop from London to Paris. See https://en.wikipedia.org/wiki/Chris_Phillips_(professor)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/chris-phillips-a650151b/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/484ecb78dede011ebb62e44c047cf5943c04f728.jpg"
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    "jobs": [],
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  },
  {
    "id": 24450,
    "name": "Astek Diagnostics",
    "slug": "astek-diagnostics-inc",
    "former_names": [
      "Astek Diagnostics LLC"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0cc751641f3edca70063a728f7fc978cc2df8169.png",
    "website": "http://astekdx.com",
    "all_locations": "Baltimore, MD, USA",
    "long_description": "Astek Diagnostics is building a platform (Eugris) that guides physicians in prescribing appropriate antibiotics for patients with bacterial sepsis in one hour. It is done by detecting the oxygen consumption of the bacteria",
    "one_liner": "One-hour antibiotic sensitivity testing",
    "team_size": 5,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1625157553,
    "tags": [
      "Microfluidics",
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        "full_name": "Audrey Wu",
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        "founder_bio": "Audrey’s journey into women’s health began in IBD and then moved on to innovation in AI. In 2019 she co-invented a more comfortable speculum device with Dioptra. Dioptra was awarded a grant from the FDA and is patent-pending. \n\nAudrey was previously CEO and co-founder of Convrg, an AI-powered voice and messaging platform working with brands such as Gallo Wines and The GRAMMYs. She exited Convrg to Reliance Jio in July 2019. She has spoken at SXSW, MWC and Social Media Week. ",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/audreyellenwu/",
        "x_url": "https://twitter.com/mraudreywu",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2aaee27e372f620cb8b504baf1df46daf5881377.jpg"
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    ],
    "jobs": [],
    "news": [
      {
        "title": "Ruth Health Raises $2.4M For Post-Pregnancy Telehealth - dot.LA",
        "url": "https://dot.la/ruth-health-post-pregnancy-telehealth-2657225217.html",
        "date": "Apr 28, 2022"
      }
    ],
    "launches": [
      {
        "id": 68021,
        "title": "🧡 Ruth Health - READY to support your (wife’s) postpartum core + pelvic floor",
        "tagline": "Bite-sized videos for a better postpartum recovery",
        "body": "## **Ready by Ruth Health 6-week video series helps POSTPARTUM folks recover faster 🫄🏽🤰🏻🫃🏾**\n\nHi YC! We’re [Alison](https://bookface.ycombinator.com/user/736020) + [Audrey](https://bookface.ycombinator.com/user/173747), co-founders of [Ruth Health](https://www.ruthhealth.com/) 🧡 a global virtual clinic for pregnant and postpartum folks. Ruth Health delivers 30-minute telehealth sessions and unlimited text message access to help new moms and parents navigate physical and emotional challenges.\n\n### Our latest + greatest: [Ready by Ruth Health](https://ruthhealth.com/readybyruthhealth/). A collection of bite-sized, on-demand video series designed to help you feel ready at every stage of pregnancy and beyond. \n\n![uploaded image](/media/?type=post&id=68021&key=user_uploads/736020/ccff3c3d-e0ab-463b-bf6d-41d91b3fa271)\n\n### The first release is **Connecting to Your Postpartum Body**, a self-guided 6-week series for total body rehabilitation after birth, starting as soon as you like. \n\\\nNext up: **Breastfeeding 101.**\n\n### Any pregnant folks or new moms you love, send 'em [to Ruth Health!](https://ruthhealth.com/)\n\n**YC friends/family may pay the reduced price of $10.99. Or choose a higher price to support us more!** _5% of all proceeds will be donated to Every Mother Counts_\n\n![uploaded image](/media/?type=post&id=68021&key=user_uploads/736020/3f523e44-e5f3-43e1-bcde-e0be2cfe515a)\n\nPAYMENT: **We accept cash pay + HSA/FSA internationally.** _We’ll eventually accept Medicaid and insurance in the US, but not yet._ \n\n______________________\n\n### **The Problem**\n\nPostpartum folks often don’t know where to start. It can feel strange and painful in your new body. Too many postpartum workout and wellness programs rush you, or put your body at risk—and many are not evidence-based.\\\n\\\nHow do you begin to regain strength, support the pelvic floor, and heal your core—without ever having to leave home or go to a clinic? \n\n### **Who is Ready by Ruth Health for?**\n\nWe simplify the process with 6 weeks of initial content and more to come. Watch each snackable video at home, in bed, at work, or on the go. \n\nWe are for any working mom looking to get back to work, life, and sex (YES, SEX! 🧡) sooner. We’ve launched GLOBALLY and still offer virtual 1:1 care separately.\n\nWe help:\n\n* Postpartum moms\n* Total body recovery, with focus on pelvic floor + core\n* Ages 20-55\n* For anyone starting from 1 day + lasting through several years postpartum, depending on how you feel during movement (stop immediately if painful)\n* 🏥 Folks who suffered with difficult or traumatic births\n* 🩺 Proactive moms looking to get back to normal life faster\n* 🏃🏿‍♀️Fitness lovers + those excited to feel stronger after baby\n* 🏢 Anyone who hates dealing with insurance; just pay $10.99 with credit or HSA/FSA\n\n### **How does Ready by Ruth Health work?**\n\nEvidence-based breathwork, strengthening, and mobility exercises for total body, with a focus on the core, pelvic floor, and vagina. Follow the video series for 6 weeks to feel an improvement in strength, stability, body awareness, and pain. \n\nReady by Ruth Health is:\n\n* Easily digestible content that fits into a busy mom's or mom-to-be's life. Videos are anywhere from 3-10 minutes.\n* A safe space to explore Ruth Health's philosophy of care until you feel ready to progress to a 1:1 treatment plan. \n* Prenatal and postpartum care at your fingertips, whenever and wherever you need it. \n* Movement, education, and exercise combined to help birthing people feel ready.\n\n![uploaded image](/media/?type=post&id=68021&key=user_uploads/736020/290a0022-1e6e-4566-bc42-7bbf3484f777)\n\nACTION ITEMs:\n\n1. [Buy your Ready by Ruth Health videos](https://checkout.stripe.com/c/pay/plink_1MC64cD4QhhJkNyVUkrxxtIa#fidkdWxOYHwnPyd1blppbHNgWjA0T0RJblVBMVRtbU9uS3xTR0hgclR8VXxnPUc0c1N%2FVlRjSTU3QEtzdjVcYUtMdzBiVXBsNFdDZ1BwMjJOSDJuck1va2RkfzBSNXRjPXBkampEaWFNN0ZBNTVqTjYzZlFHNycpJ3VpbGtuQH11anZgYUxhJz8nMWJyYFJoPV9JMFBEZ0RcPXJQJyknd2BjYHd3YHdKd2xibGsnPydtcXF1dj8qKndwcW1tYGRpcW0rZmpoKid4JSUl) **for our reduced price of $10.99**\n2. Watch + follow along when convenient\n3. Feel better\n\n Haylie Rudy— mom of 2 in Austin, TX / 9mos postpartum said of Ruth Health Pelvic Floor Training: \"I wasn't alone, I had expert help with my pain + incontinence. It took away the fear, so I could reclaim my power.”\n\n### **Why are we building Ruth Health?**\n\nMaternal healthcare in America—and many places worldwide—is a mess. NYC has the highest maternal mortality rate of any major city in the developed world. Moms, parents, and even their non-birthing partners need us. Nobody should have to suffer alone, in silence, or without affordable, attainable help. Incontinence after birth may be normal, but it’s not “okay.” We’ve had ENOUGH.\n\nWe’re the women building women’s healthcare for us, by us.\n\nWomen deserve better ✊🏿✊🏽✊🏼 we make care better for every body.\n\n### **How can I help?**\n\n**1. Refer** friends, family, partners, wives, any new mom in your life \n\n**2. Reach out** with any feedback, or great techno music :\\]\n\nBig YC love,\n\nAlison + Audrey",
        "url": "https://www.ycombinator.com/launches/Hh7-ruth-health-ready-to-support-your-wife-s-postpartum-core-pelvic-floor",
        "votes": 18,
        "created_at": "2022-12-21T16:29:42.890Z"
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    "id": 24705,
    "name": "Sensible Biotechnologies",
    "slug": "sensible-biotechnologies",
    "former_names": [
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    "website": "https://sensible.bio",
    "all_locations": "Oxford, England, United Kingdom",
    "long_description": "The future of mRNA therapeutics is hampered by manufacturing challenges and unless solved, its exciting potential may never be realised. Sensible enables the next generation of mRNA medicines by turning living cells into factories producing abundant, highly stable and non-immunogenic mRNA in a scalable and cost-effective way.",
    "one_liner": "Unlocking the next generation of mRNA medicines",
    "team_size": 55,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Therapeutics",
    "launched_at": 1680519323,
    "tags": [
      "Synthetic Biology",
      "Biotech",
      "Manufacturing",
      "Therapeutics",
      "Biotechnology"
    ],
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2021",
    "status": "Active",
    "industries": [
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    "regions": [
      "United Kingdom",
      "Europe",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/sensible-biotechnologies",
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    "year_founded": 2021,
    "city": "Oxford",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/sensible-biotechnologies/",
    "x_url": "https://twitter.com/sensible_bio",
    "fb_url": "https://www.facebook.com/SensibleBiotechnologies",
    "cb_url": "https://www.crunchbase.com/organization/sensible-biotechnologies",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/45d14c57e3b4e2739c65c0bb84a511608548ffa2.png",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 327676,
        "full_name": "Miroslav Gasparek",
        "title": "Founder",
        "founder_bio": "I am Miro, CEO and Co-Founder of Sensible Biotechnologies. We build a cell-based platform for cost-efficient and scalable production of high-quality mRNA to unlock next generation of mRNA medicines.\n\nMy background is in computational modeling of biological systems and bioengineering. I have worked on developing Slovak national biosecurity policies - I am passionate about building biotech ecosystem in Eastern Europe. I studied Bioengineering at Imperial College London and Engineering at Oxford.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/miroslavgasparek/",
        "x_url": "https://twitter.com/MiroGasparek",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d25e01e0699856449f168b5f4aa9f2e1383bd123.jpg"
      },
      {
        "user_id": 475409,
        "full_name": "Marian Kupculak",
        "title": "Founder",
        "founder_bio": "I am Marian, the Chief Scientific Officer and co-founder of Sensible Biotechnologies. We are building a new platform for cost-efficient and scalable manufacturing of high-quality mRNA.\n\nI have more than 9 year of experience in biochemistry and molecular biology, more specifically in cellular engineering and downstream processing. I am interesting in engineering cells to produce high-quality proteins and nucleic acids.\n\nI did my  PhD in Biochemistry at the University of Oxford, UK. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/marian-kupculak-34468a85/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e253a90c972be4ed5e591a638f3473284857f69c.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Sensible Biotechnologies Partners with Ginkgo to Develop Novel mRNA Manufacturing Platform",
        "url": "https://www.genengnews.com/topics/bioprocessing/sensible-biotechnologies-partners-with-ginkgo-to-develop-novel-mrna-manufacturing-platform/",
        "date": "Apr 04, 2023"
      },
      {
        "title": "Ginkgo partners up with Sensible Biotechnologies to forge mRNA manufacturing platform – Endpoints News",
        "url": "https://endpts.com/ginkgo-partners-up-with-sensible-biotechnologies-to-forge-mrna-manufacturing-platform/",
        "date": "Apr 03, 2023"
      },
      {
        "title": "Sensible Biotechnologies And Ginkgo Bioworks Announce Partnership To Make In Vivo RNA To Unlock The Promise Of RNA Therapeutics",
        "url": "https://www.forbes.com/sites/johncumbers/2023/04/03/sensible-biotechnologies-and-ginkgo-bioworks-announce-partnership-to-make-in-vivo-rna-to-unlock-the-promise-of-rna-therapeutics/",
        "date": "Apr 03, 2023"
      },
      {
        "title": "Developing a Novel mRNA Manufacturing Platform with Sensible Biotechnologies - Ginkgo Bioworks",
        "url": "https://www.ginkgobioworks.com/2023/04/03/developing-a-novel-mrna-manufacturing-platform-with-sensible-biotechnologies/",
        "date": "Apr 03, 2023"
      },
      {
        "title": "Sensible Biotechnologies Announces Partnership with Ginkgo Bioworks to Develop Novel mRNA Manufacturing Platform",
        "url": "https://www.prnewswire.com/news-releases/sensible-biotechnologies-announces-partnership-with-ginkgo-bioworks-to-develop-novel-mrna-manufacturing-platform-301787563.html",
        "date": "Apr 03, 2023"
      }
    ],
    "launches": [
      {
        "id": 70713,
        "title": "Sensible Biotechnologies: Engineering cells to make better mRNA 🧬",
        "tagline": "mRNA. Made better.",
        "body": "At Sensible Bio, we are turning living cells into cost-efficient factories for manufacturing high-quality mRNA to unlock the full potential of mRNA therapeutics and vaccines.\n\n### **tl;dr**\n\nMessenger RNA (mRNA) is a promising biological platform for both vaccines and therapeutics. Today, all mRNA is synthesised via cell-free processes, which are expensive, cumbersome, and cannot produce mRNA with sufficient quality for many of its promising clinical applications. **We engineer cells to produce high-quality mRNA in a scalable and cost-efficient fashion to meet the growing demand for mRNA in novel vaccines and therapies.**\n\n### **The Problem: Cell-free mRNA manufacturing**\n\nCurrently, mRNA production completely relies on In Vitro Transcription (IVT), a cell-free process involving numerous proprietary and expensive enzymes and reagents. This method also requires multiple intricate steps, laborious purification procedures, and cannot be scaled to large reaction volumes.\n\nImportantly, IVT-based mRNA manufacturing generates highly immunogenic double-stranded RNA (dsRNA), which is posing risks in some of the most important applications of mRNA such as in gene editing and cancer. Moreover, it is difficult to produce and purify long mRNA sequences via IVT; this creates major obstacles for other promising mRNA modalities like self-amplifying mRNAs, which could significantly reduce the high amounts of mRNA needed for many of its therapeutic applications.\n\n**To truly unleash the power of mRNA more efficient, affordable, and effective mRNA manufacturing methods are needed.**\n\n![uploaded image](/media/?type=post&id=70713&key=user_uploads/89898/0eb9ee01-1c73-46bd-b15f-3bc3376e2176)\n\n## **The Solution: Cell-free mRNA manufacturing (not done)**\n\n**We are utilizing the processes in the living cells, which have been producing high-quality mRNA for millions of years.** By combining natural cellular processes with cell engineering, we build a scalable platform to produce high-quality mRNA cost-effectively.\n\nOur platform enables the production of **longer mRNA**, while addressing the problem of **immunogenic double-stranded RNA** inherent in IVT.\n\nBy removing the need for expensive and proprietary reagents, we enable **cost-effective mRNA manufacturing** and improve access to mRNA technology. Also, the **scalability** of cell-based mRNA production strengthens biosecurity and supply chain resilience.\n\nOur objective is to become a partner for all pharma and biotech companies striving to produce the next generation of mRNA therapies and vaccines.\n\n## **The Platform**\n\nOur platform combines the principles of **cell engineering**, **computational** **biology** and **precision** **fermentation**. We exploit and optimise the selective packaging of the mRNA of interest into specific protein complexes. This enables a specific encapsulation of mRNA, prevents mRNA contamination and simplifies its downstream processing.\n\n![uploaded image](/media/?type=post&id=70713&key=user_uploads/89898/01d827a8-d966-4616-a155-5a029401da1d)\n\n## **Team**\n\nSensible Bio was founded in August 2021 by **Miroslav Gasparek** (CEO) and **Dr Marian Kupculak** (CSO).\n\n**Miro** holds a Bioengineering degree from Imperial College London and conducted research at Imperial College, Caltech and Stanford. He worked with several TechBio VCs and advised public and private institutions in Central Europe on life science R&D. Miro also advised the Slovak Ministry of Health and the Board Member of the World Health Organization on biosecurity and innovation.\n\n**Marian** has a PhD in Molecular Biology from Oxford, where he focused on genetic engineering and cancer. He has more than 9 years of full-time wet-lab experience with cellular engineering. He has worked at the leading European research centres, including the University of Oxford, the University of Gothenburg, and Vienna BioCenter.\n\nOur leadership includes the **global leaders in mRNA manufacturing**, as well as in **clinical development and strategy**. We also assembled a fantastic team of bioengineers and scientists from across the globe.\n\n## **Traction**\n\nUsing our proprietary technology we have demonstrated the **capability to produce the mRNA**. Additionally, we have secured a major [co-development partnership with Ginkgo Bioworks](https://www.ginkgobioworks.com/2023/04/03/developing-a-novel-mrna-manufacturing-platform-with-sensible-biotechnologies/). We also set up collaborations with leading research institutions across the globe. Sensible Biotechnologies has established lab operations in **Oxford, United Kingdom** and **Bratislava, Slovakia**. We have obtained **10 Letters of Intent** for our mRNA from the biotech companies and research groups that would like to test it.\n\nOur **scientific advisory board** includes world-leading synthetic biology, mRNA manufacturing, and clinical experts and our mentors include the top life science executives.\n\nOur investors include **specialist** **TechBio** **funds** and leading **biotech executives** investing as angels.\\\n\\\nWe're excited to be working on unlocking the full potential of mRNA technology. Are you interested? Get in touch at [**info@sensible.bio**](mailto:info@sensible.bio).\n\nDo you want to build the platform for making better mRNA with us? Drop us an email at [**careers@sensible.bio**](mailto:careers@sensible.bio) We are hiring **synthetic biologists**, **bioprocess** **engineers**, **mRNA Quality Control experts**, **RNA computational biologists**, and **machine learning engineers.**",
        "url": "https://www.ycombinator.com/launches/IOX-sensible-biotechnologies-engineering-cells-to-make-better-mrna",
        "votes": 19,
        "created_at": "2023-04-03T16:24:05.337Z"
      }
    ]
  },
  {
    "id": 24727,
    "name": "Output Labs",
    "slug": "output-labs",
    "former_names": [
      "Jingu Health",
      "Output Biosciences"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/45a8d72beb3c47955dd9a980cc0185312b3b7e63.png",
    "website": "https://www.outputlabs.ai/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Output Labs is a frontier AI research lab. We created Mechanistic Reasoning, a new kind of AI that learns how and why complex systems work. It lets us understand the systems behind science's hardest problems, and control them.",
    "one_liner": "The foundation for the next era of science",
    "team_size": 8,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Drug Discovery and Delivery",
    "launched_at": 1628006072,
    "tags": [
      "AI-powered Drug Discovery",
      "Generative AI",
      "Biotech",
      "AI"
    ],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2021",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Drug Discovery and Delivery"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/output-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/output-labs.json",
    "year_founded": 2021,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/outputlabs-ai/",
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        "id": 95884,
        "title": "Member of the Technical Staff, Interpretability",
        "url": "https://www.ycombinator.com/companies/output-labs/jobs/4yKMT2W-member-of-the-technical-staff-interpretability",
        "location": "New York, NY, US / San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $350K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Torch/PyTorch",
          "Machine Learning",
          "LLMs",
          "Transformers"
        ]
      },
      {
        "id": 95885,
        "title": "Member of the Technical Staff, Pretraining",
        "url": "https://www.ycombinator.com/companies/output-labs/jobs/bcIFoMY-member-of-the-technical-staff-pretraining",
        "location": "New York, NY, US / San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $350K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Torch/PyTorch",
          "Machine Learning",
          "Transformers",
          "Multimodal AI",
          "Diffusion Models"
        ]
      },
      {
        "id": 95887,
        "title": "Software Engineer, Agents",
        "url": "https://www.ycombinator.com/companies/output-labs/jobs/frAS1mW-software-engineer-agents",
        "location": "New York, NY, US / San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Torch/PyTorch",
          "LLMs",
          "AI Agents"
        ]
      },
      {
        "id": 95888,
        "title": "Member of the Technical Staff, Molecular Generation",
        "url": "https://www.ycombinator.com/companies/output-labs/jobs/xNEItqX-member-of-the-technical-staff-molecular-generation",
        "location": "New York, NY, US / San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $350K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Torch/PyTorch",
          "Machine Learning",
          "Diffusion Models"
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      },
      {
        "id": 95889,
        "title": "Member of the Technical Staff, Biological Data",
        "url": "https://www.ycombinator.com/companies/output-labs/jobs/MGz9Bnv-member-of-the-technical-staff-biological-data",
        "location": "New York, NY, US / San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $350K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Torch/PyTorch",
          "Machine Learning",
          "Molecular biology",
          "Transformers"
        ]
      },
      {
        "id": 95901,
        "title": "Member of the Technical Staff, Cheminformatics",
        "url": "https://www.ycombinator.com/companies/output-labs/jobs/xvgqWYn-member-of-the-technical-staff-cheminformatics",
        "location": "New York, NY, US / San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $350K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Torch/PyTorch",
          "Machine Learning",
          "Chemistry",
          "Molecular design",
          "Transformers",
          "Diffusion Models"
        ]
      }
    ],
    "news": [],
    "launches": []
  },
  {
    "id": 24737,
    "name": "CellChorus",
    "slug": "cellchorus",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b81eadcf3657043bd35cb166adc3ac4e9ad367e8.png",
    "website": "https://cellchorus.com",
    "all_locations": "Houston, TX, USA",
    "long_description": "At CellChorus, we apply artificial intelligence to evaluate thousands of microscopy videos in parallel to evaluate how immune cells move, interact and perform over time. This allows our customers to discover, develop, manufacture and deliver cell therapies, antibodies, vaccines and other novel therapies faster, at lower expense, and with higher rates of success.\r\n\r\nOur customers include top-25 biopharma companies and seed-stage biotechs that are developing cell therapies, antibody therapeutics and vaccines (including one of the few companies with an approved CAR T cell therapy).\r\n\r\nHear from the team at https://www.youtube.com/watch?v=IE9x_tm0XnI",
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        "founder_bio": "Mark Feitelson received his Ph.D. in Microbiology/Immunology from UCLA. He began his work with hepatitis B at Stanford University, and was then recruited to the Fox Chase Cancer Center by Dr. Baruch Blumberg (Nobel laureate). In 1991, Dr. Feitelson moved to Thomas Jefferson University, and in 2007, to Temple University as a Professor of Biology.  His work has been supported by NIH, industry and foundations. He has more than 150 publications and 180 abstracts. He is also CSO of SFA Therapeutics. ",
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        "full_name": "Liushifeng Chen",
        "title": "Founder",
        "founder_bio": "building useful machine learning & computer vision products",
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        "full_name": "Yasaman Nemat",
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        "full_name": "Johannes Vermandois",
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        "title": "Northwind - Teledermatology for Psoriasis and Eczema",
        "tagline": "Custom medical treatments for Eczema, Psoriasis and dry skin in 12 hours, at 5x cheaper cost",
        "body": "> Today we’re launching [Northwind](https://northwindskin.com), the Teledermatology service for Psoriasis and Eczema in the US.\\\n> \\\n> At Northwind we combine technology at scale with highly efficient therapeutic treatments to give 31 million Americans better specialized skincare faster, at a fraction of the cost they’re used to.\\\n> \\\n> Northwind provides custom treatments and on-going support from board certified dermatologists, with efficacy and affordability that doesn’t exist among legacy over-the-counter brands. The number one issue facing 31 million American patients today is slow access to quality treatment and spending hundreds of dollars on copayments. \\\n> \\\n> It takes an average of 4 months to see a licensed dermatologist and get help - **Northwind cuts time to receiving a treatment plan to under 12 hours, while reducing monthly out-of-pocket costs for patients with 5X.**\n\n# \n\n**Here’s how it works**\n\n1. **1.** Patients register and go through our [skin test](https://northwindskin.com/skin-test/intro), uploading pictures of their affected skin\n2. **2.** In under 12 hours the patient receives a recommended medical treatment from our Board Certified dermatologist providers\n3. **3.** Monthly checkpoints where patient uploads progress pictures and treatment is adjusted based on feedback and results.\n\n![uploaded image](/media/?type=post&id=66465&key=user_uploads/502332/e52e7fbe-8e89-43fe-a724-13406720dabc)\n\n# \n\n**Northwind’s Core Treatments**\n\n* Formulas developed with 16.000 patients\n* 24 hour skin barrier technology\n* Calms inflammation, relieves irritation and itchiness\n* Lightning quick absorption\n* Dermatologically tested\n* Ingredients supported by clinical studies\n* Vegan formulas with 92% self-reported efficiency\n* Designed in Sweden, Manufactured in America\n\n![uploaded image](/media/?type=post&id=66465&key=user_uploads/502332/e5374e58-0d98-4706-a110-7728feb0eccd)\n\nWith our service we empower patients to live a life free of the burden of their disease that causes pain, stigma, loss-of-work, and self-doubt. Our product line is unique in it’s patient-focused approach, the natural, clinically tested ingredients and it’s high efficiency.   I started Northwind after 20 years of suffering from severe Psoriasis, **to serve patients like myself with empathy, efficiency and speed** - inspired by the struggle of my own lifelong journey as a patient, determined to offer patients a better alternative.\\\n\\\n15\\.000 patients have signed up for our launch as we go live in 47 American states, and we welcome anyone with a chronic skin condition to [take our skin test](https://northwindskin.com/skin-test/intro) and get your Northwind treatments today!\n\n![uploaded image](/media/?type=post&id=66465&key=user_uploads/502332/d6cd98e6-a4f2-4d18-a2dd-4e1c7cb6127a)\n\n",
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        "body": "[Keylika](https://www.keylika.com) is combining its **metallodrug synthesis technology** with **optimized delivery methods** to obtain improved clinical outcomes. Our first product is a **novel iron drug** in a **wearable skin patch** with significantly improved safety, efficacy and tolerability to treat **Iron Deficiency Anemia (IDA).** When approved, Keylika’s proprietary transdermal iron will be the **world's first** prescription iron patch.\n\n### **The Problem**\n\n**Iron Deficiency Anemia (IDA) is a hugely understated, highly prevalent problem with subpar treatments.**\n\nIron deficiency (ID) affects **30 million** people in the US alone and about **1.6 billion** worldwide. Current treatments include oral iron supplements which are typically associated with low bioavailability and poor tolerability due to mild to severe gastrointestinal (GI) side-effects (constipation, nausea, stomach discomfort, diarrhea, etc.) often leading to patient non-compliance. Also, a significant number of patients just do not absorb iron taken orally.  The second line of treatment with intravenous (IV) iron infusions is more invasive, riskier, costlier and requires hospitalization due to the risk of anaphylactic shocks.\n\n### **Our Solution**\n\nOur first product is a **new small molecule (new molecular entity)**, an **iron-containing drug** designed for **transdermal** delivery by a wearable skin patch: **NistuFe**. It is a safe, highly bioavailable iron complex with higher efficacy. A therapeutically relevant dosage is administered through the skin directly into the systemic circulation, thereby circumventing the gastrointestinal tract and all associated adverse effects. Thus, we combine the benefits of both orals and IV iron, and without their respective downsides: a drug suitable for self-administration with no GI side effects and no required hospitalization that yields a superior treatment outcome from the convenience of a patient’s home. This is slated to be a potentially **best-in-class, breakthrough therapy**. Our preliminary proof-of-concept in vivo studies in rats have demonstrated excellent results.\n\n![uploaded image](/media/?type=post&id=64959&key=user_uploads/756768/c93eab67-c28a-45c2-8a20-42843bbd0d16)\n\n### **Our Science**\n\nAt our core is a **platform synthesis technology** we have developed for synthesizing mixed ligand metal complexes. We are using this platform to generate a range of drug candidates for treating therapeutic conditions in the fields of hematology, pain and inflammation, metabolic disorders, infectious diseases and oncology. We then administer these drugs using proven delivery technologies, to effect the best clinical outcomes. Positioned at the **intersection of drug development and drug delivery**, we customize the molecular structure of the drug and its formulation to optimize the therapeutic delivery per clinical requirements.\n\n### **Target Population**\n\nOur first indication being menorrhagia, our primary target population is **women of child-bearing age** in the US who suffer from severe to moderate ID, which has an estimated prevalence of 6 million. A wide range of other patient groups adds up to a potential **30 million** users in the US alone.\n\n### **Our Ask**\n\n1\\.     If you know anyone in your social circle suffering from Iron Deficiency, we would love to talk to them!\n\n2\\.     If you are connected to biopharma companies with interests in the hematology space, could you please introduce us?\n\nPlease follow us on [LinkedIn](https://www.linkedin.com/company/keylika/)!\n\nQuestions? Feel free to reach out: [founders@keylika.com](mailto:founders@keylika.com)",
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        "title": "🍼 👶 Brown Foods:  ‘Real’ Human Milk without any breast feeding!🥛",
        "tagline": "Using mammalian cell culture, AI enabled to create complex natural products like cow milk and human milk now!",
        "body": "**Have you experienced any problems with breast feeding? Or do you have any concerns with infant formulas? We would like to understand your concerns as we are creating real human milk using biotechnology. Please share your contact info [here](https://forms.gle/gy64yfLuJ1MtnfmD8) and we will connect to schedule a quick 20 mins call to understand your concerns.**\n\n### **UnReal Human Milk! 🍼 👶**\n\n> **_Why? - Lactation Issues in Women are at an all-time High!_**\n\nEvery year around 85 million women globally struggle with breast feeding in some way or the other. The existing infant formulas are largely based on cow milk which naturally lacks several essential components of human milk like lactoferrin, HMOs etc. which are critical for the nutrition of the baby. Recently there was one of the biggest recalls in history of infant formula in Dec 2025, with a similar recall in US in 2022 which led to sudden shortage of infant formulas and left parents extremely worried and vulnerable. To circumvent such incidents we need more clean-label innovation in this space to create better and more robust solutions for infant nutrition.\n\n> **_What and How? - Harnessing Biology Responsibly!_**\n\n![uploaded image](/media/?type=post&id=98944&key=user_uploads/215532/88fc5eaf-d775-43a4-86a0-104692179c41)\n\n🚀 🚀 **Huge** **Breakthrough** - **We have been able to secrete Real Human Milk in lab!!!** We have validated all proteins by independent third party testing and have also tested for fats and carbohydrates to create a basic version of real human milk. By using mammalian cell culture we have designed a system to produce human milk in lab with a macronutrient focus currently. We are a Stanford, Rice University and IIT Delhi alumni team with backgrounds across biotechnology, business and innovation, determined to make a huge impact by using technology and leveraging recent advances in understanding of biological systems. This breakthrough leverages our extensive work on cow milk ([Forbes](https://www.forbes.com/sites/daphneewingchow/2025/02/24/first-lab-grown-whole-cows-milk-to-debut-in-the-us/)) as we add this new product to our pipeline - UnReal Human Milk.\n\n> **_More Exciting Stuff! - Why should human adults drink cow’s milk and not human milk?_**\n\nUntil now we had no way to mass produce human milk so we resorted to drinking cow milk since we could keep the poor cows in captivity to produce as much milk as needed. But now with our standardised scalable approach to creating human milk maybe we can move everyone across the planet from drinking cow milk to human milk. Think human milk ice-creams and human milk cheeses - the opportunities are huge!\n\n![uploaded image](/media/?type=post&id=98944&key=user_uploads/215532/0b9233c8-9808-4043-83e6-e350806da38b)\n\n> **Reach-out to us** at [**sohail@brownfoods.in**](mailto:sohail@brownfoods.in) if you want to collaborate, invest or partner with us on this journey.\n\nThank you!\n\n![uploaded image](/media/?type=post&id=98944&key=user_uploads/215532/db9850e5-7d88-42fb-9ea4-871d78b1dd1f)\n\n",
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        "id": 69248,
        "title": "👂 Oto: Get your life back from Tinnitus",
        "tagline": "This isn’t a tinnitus cure, but after our 1-1 therapy program you won’t need one",
        "body": "Hi YC, Ed and George here, the founders of [Oto](https://www.joinoto.com). Last year we launched our mobile app as a one size fits all solution for tinnitus.\n\nWe've since spoken to hundreds of users and it's clear that they need a more personalised approach, with live support from a real person. So, we are thrilled to announce our new 1-1 therapy program.\n\n**_Tl;dr:_** _Oto teaches your brain to stop noticing your tinnitus using the latest scientifically proven techniques. Our personalised program combines 1-1 therapy from a world class audiologist with an award winning app._ [_Book a free consultation today._](https://calendly.com/otohealth/tinnitus-consultation-ed)\n\n### ❗**Why do we exist?**\n\nTinnitus or ringing in the ears affects 1 in 8 people, **and there’s no cure**. It impacts mood, concentration and sleep and in 40% of cases is hugely debilitating.\n\nGetting reliable help is not easy. People usually drift between ENT doctors or audiologists searching for effective treatment. Nearly all are told that they need to learn to live with it.\n\nHowever, it shouldn’t be like this. **Cognitive behavioural therapy (CBT) has been proven to be the most effective way to manage tinnitus.** Unfortunately, not many clinicians are aware of this, and in the US, CBT can only be delivered by a licensed therapist. Very few therapists are trained to deliver CBT for tinnitus specifically.\n\n[Hear from our lead therapist Anna Pugh why we built the program.](https://youtu.be/xkvfhHkc6pE)\n\n_Anna is a hearing therapist audiologist specialising in tinnitus therapy._\n\n# **💡 How does it work?**\n\nRight now if you have tinnitus, it probably makes you feel anxious, sad or angry. That’s normal.\n\n![uploaded image](/media/?type=post&id=69248&key=user_uploads/691438/430a79fa-381f-4a1d-9a4c-51b8fca11131)\n\nCBT changes that emotional reaction so that you stop perceiving the tinnitus to be a threat. Two things then happen:\n\n✔️ You stop noticing your tinnitus all the time.\n\n✔️ If you do notice it, it doesn’t make you feel bad.\n\n**What’s included?**\n\nWe'll create a tailored 3-month tinnitus program for you that includes:\n\n* 🖥️ **Online 1-1 Therapy:** 6 therapy sessions with a world class audiologist.\n* 📱 **Toolkit App**: access our digital program anytime, anywhere, and for as long as you need.\n* 🙋 **Instant Support**: get answers to your questions and access to our team with your own personal guide.\n\n### **🙏🏻 Our Ask**\n\n* **Get in touch** - If you struggle with tinnitus, or know someone that does, we’d love to speak. You can email [ed@joinoto.com](mailto:ed@joinoto.com).\n* **Share our launch** - tinnitus is a hidden condition, someone you know could be struggling.\n* **Try the program!** - we’ve got a great launch deal, details below.\n\n### **💥 The Deal**\n\nAs part of the YC community you’ll get a **20% discount** on the program.\n\n### **👨‍⚕️ Sign up**\n\n[Book a free consultation to see how we could help.](https://calendly.com/otohealth/tinnitus-consultation-ed)",
        "url": "https://www.ycombinator.com/launches/I0u-oto-get-your-life-back-from-tinnitus",
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        "created_at": "2023-02-13T19:56:11.762Z"
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        "title": "NearWave - Realtime therapy efficacy for treating breast cancer patients",
        "tagline": "NearWave makes a new type of handheld imaging tech with AI that helps physicians select the right therapy for their breast cancer patients. ",
        "body": "**TL;DR We can tell within a week if chemotherapies in breast cancer are working or not, allowing physicians to stop or change therapies very quickly, rather than waiting 3-12 months. This saves patients months of side effects for the 70% of women that do not fully respond to cancer therapies, affecting the 4M women in the world diagnosed with invasive breast cancer each year. This will be the standard of care in the next 5 years.**\n\nHello to all my YC friends, I’m Roy and our team is building [NearWave.](https://nearwave.co/) Both my mother and grandmother are breast cancer survivors, as is my co-founder’s wife.  After going through the (often archaic) treatment process with them, we are on a personal mission to bring treatment relief for unnecessary side effects caused by ineffective and expensive treatments which currently costs the US health system $50B/yr. There is a nice video story [here](https://fightingfor.nd.edu/2023/fighting-for-breast-cancer-patients/).  We already have 4 systems sold to customers ($123k) and just received a letter that the FDA agrees with our regulatory pathway.\n\n**The Problem**\n\nOncologists have the difficult task of assessing the efficacy of chemotherapy drugs and proper dosing, with the majority of breast cancer patients not showing pathologic complete response (pCR). Imagine taking drugs that devastate your immune system, cause hair loss, nausea, later to find the treatment is ineffective. Further, it takes months to tell if a therapy is working. Those months are critical to survival for patients with aggressive disease progression.\n\n**Our Solution**\n\nNearWave's core imaging technology and accompanying prediction models have been shown in multi-center studies to predict pathologic complete response in breast cancer patients in as early as a week\\[[1](https://pubmed.ncbi.nlm.nih.gov/30338678/#:\\~:text=Notably%2C%20logistic%20regression%20based%20on,CI%3A%200.82%20to%201)\\]\\[[2](http://cancerres.aacrjournals.org/content/76/20/5933.short)\\]\\[[3](https://www.spiedigitallibrary.org/journals/journal-of-biomedical-optics/volume-29/issue-06/066001/Functional-hemodynamic-imaging-markers-for-the-prediction-of-pathological-outcomes/10.1117/1.JBO.29.6.066001.full#_=_)\\]. If oncologists knew efficacy in a few days, they would make real-time adjustments to therapy, personalizing care for each patient \\[[4](https://www.mendelspod.com/p/precision-oncology-at-the-community-544?utm_source=publication-search)\\].\n\n📸 Device and iPad app showing a tumor simulating phantom scanned with the system.\n\n![uploaded image](/media/?type=post&id=80934&key=user_uploads/749007/8f146342-1e4a-4bcb-a40f-639be01f52be)\n\nWhen a therapy is not showing a response, physicians can increase dosage, iterate to other therapies, or move to surgery much sooner, reducing side-effects for patients by as much as 50%, while reducing cost in direct-to-surgery cases. In the future we will expand our indication to cover benign/malignant lesion classification at the ob/gyn bed-side, where ½ the world population undergoes exams, a true **billion user** technology. \n\n**How it works**\n\nThe underlying technology uses [fdNIRS](https://nearwave.co/technology/fdnirs/), a form of near infrared spectroscopy which is deep tissue, non-invasive, does not require injectable contrast, and uses no ionizing radiation.  We measure the molecular absorption and scattering of light of biomarkers (blood, water, lipid) to monitor changes in metabolic and hemodynamic information in tissue \\[[5](https://opg.optica.org/boe/fulltext.cfm?uri=boe-12-11-7261&id=462776)\\]. Metabolic changes are an excellent indicator of therapy response, which our AI models use to categorize and predict the treatment outcomes. \n\n🌈 Here’s how light travels in tissue, and how it works with our system.\n\n![uploaded image](/media/?type=post&id=80934&key=user_uploads/749007/6ffa11ac-d114-48d8-a27b-8e50c0c1e2ab)\n\n🤖 Workflow for our AI model therapy response grading. Breast images are from a study patient responding to therapy.\n\n![uploaded image](/media/?type=post&id=80934&key=user_uploads/749007/2a7c993c-4938-4648-b042-61af9cdfe9f5)\n\n🤯 Here we visualize a 3d tumor, measured with our system on a physical tumor phantom of actual breast tissue properties.\n\n![uploaded image](/media/?type=post&id=80934&key=user_uploads/749007/e47ac6ad-99d0-4b3a-a421-9d535916dc28)\n\n**Asks**\n\nIf you know anyone affected by breast cancer that was a candidate for neoadjuvant chemotherapy, we’d love to talk to them to hear about their experience. Reach out to us [here](https://nearwave.co/company/contact/). \n\nIf you have 10 minutes to chat about what we’re doing, I’d be thrilled to book a time with you [here](https://calendly.com/roy-197/roy-15min?preview_source=et_card&month=2024-05&date=2024-05-20).  \n\nThank you. \n\nRoy & the NearWave Team",
        "url": "https://www.ycombinator.com/launches/L3O-nearwave-realtime-therapy-efficacy-for-treating-breast-cancer-patients",
        "votes": 42,
        "created_at": "2024-05-17T22:13:40.694Z"
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    "long_description": "India’s insurance market is filled with bygone products, which do not cater to 95% of the market's demand for specific products such as illness-specific insurance, primary care with insurance, and surgical insurance to name a few. \r\n\r\nWe, at IMT, aim to target this white space by creating innovative products that fulfill this new demand by empowering the agents. Agents are the largest insurance distribution channel in India and cover 85% of the premium collection. \r\n\r\nAgents collect 20B premium every year. With a 5% take rate, it’s a 1B dollar market opportunity growing at 22% CAGR.\r\n\r\nKunal has 15+ years of experience working with insurance companies and building agent networks, while he scaled his brokerage business to 3M dollars in revenue. Rachit has 12+ years of experience in building tech products, he was a founding engineer at Payu (stripe of India).\r\n",
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        "title": "Business Central Developer",
        "url": "https://www.ycombinator.com/companies/clinikally/jobs/kkk4F90-business-central-developer",
        "location": "Gurugram, HR, IN / Gurugram, Haryana, IN",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "₹600K - ₹900K INR",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 89944,
        "title": "Business Central Functional Consultant",
        "url": "https://www.ycombinator.com/companies/clinikally/jobs/nVsybUv-business-central-functional-consultant",
        "location": "Gurugram, HR, IN / Gurugram, Haryana, IN",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "₹1.2M - ₹1.7M INR",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 96209,
        "title": "Associate Product Manager",
        "url": "https://www.ycombinator.com/companies/clinikally/jobs/rKlJrDo-associate-product-manager",
        "location": "Gurugram, HR, IN / Gurugram, Haryana, IN",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "₹50K - ₹60K INR / monthly",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97958,
        "title": "Category Executive",
        "url": "https://www.ycombinator.com/companies/clinikally/jobs/6JSahr3-category-executive",
        "location": "Gurugram, HR, IN / Gurugram, Haryana, IN",
        "type": "Full-time",
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        "role_type": null,
        "salary_range": "₹35K - ₹45K INR / monthly",
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      },
      {
        "id": 99713,
        "title": "New Product Development Specialist",
        "url": "https://www.ycombinator.com/companies/clinikally/jobs/uEMxPCw-new-product-development-specialist",
        "location": "Gurugram, HR, IN / Gurugram, Haryana, IN",
        "type": "Full-time",
        "role": "Science",
        "role_type": "Healthcare",
        "salary_range": "₹600K - ₹800K INR",
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        "experience": "3+ years",
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      },
      {
        "id": 105713,
        "title": "Frontend Engineer",
        "url": "https://www.ycombinator.com/companies/clinikally/jobs/sHSh8zw-frontend-engineer",
        "location": "Gurugram, HR, IN",
        "type": "Full-time",
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        "role_type": "Frontend",
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        "equity_range": "",
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      },
      {
        "id": 105714,
        "title": "DevSecOps Engineer",
        "url": "https://www.ycombinator.com/companies/clinikally/jobs/HIphxS7-devsecops-engineer",
        "location": "Gurugram, HR, IN",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
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        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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        "id": 108155,
        "title": "Legal Intern",
        "url": "https://www.ycombinator.com/companies/clinikally/jobs/ZioGNR4-legal-intern",
        "location": "Gurugram, HR, IN / Gurugram, Haryana, IN",
        "type": "Internship",
        "role": "Legal",
        "role_type": null,
        "salary_range": "₹20K INR / monthly",
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        "experience": null,
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      },
      {
        "id": 108158,
        "title": "HR Ops Executive",
        "url": "https://www.ycombinator.com/companies/clinikally/jobs/VSMZ4tZ-hr-ops-executive",
        "location": "Gurugram, HR, IN",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Operations",
        "salary_range": "₹400K - ₹550K INR",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 108914,
        "title": "Social Media Executive",
        "url": "https://www.ycombinator.com/companies/clinikally/jobs/2NNLMJa-social-media-executive",
        "location": "Gurugram, HR, IN",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "₹35K - ₹45K INR / monthly",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112710,
        "title": "Quality & Training Manager (Customer Support)",
        "url": "https://www.ycombinator.com/companies/clinikally/jobs/CrY6GXA-quality-training-manager-customer-support",
        "location": "Gurugram, HR, IN",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
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        "equity_range": "",
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        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112743,
        "title": "YouTube Channel Manager",
        "url": "https://www.ycombinator.com/companies/clinikally/jobs/AflArgH-youtube-channel-manager",
        "location": "Gurugram, Haryana, IN",
        "type": "Full-time",
        "role": "Marketing",
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        "salary_range": "₹500K - ₹700K INR",
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      },
      {
        "id": 115547,
        "title": "Consultant Dermatologist – Part-Time",
        "url": "https://www.ycombinator.com/companies/clinikally/jobs/cWrzhzA-consultant-dermatologist-part-time",
        "location": "Gurugram, HR, IN",
        "type": "Full-time",
        "role": "Science",
        "role_type": "Pharmacology",
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        "experience": "1+ years",
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      {
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        "title": " Teleconsultation Coordinator ",
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        "location": "Gurugram, HR, IN / Gurugram, Haryana, IN",
        "type": "Full-time",
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      {
        "id": 116605,
        "title": "E-commerce Manager",
        "url": "https://www.ycombinator.com/companies/clinikally/jobs/JgGiajn-e-commerce-manager",
        "location": "Gurugram, HR, IN / Gurugram, Haryana, IN",
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    "news": [
      {
        "title": "Clinically Becomes First Indian Startup Featured by Perplexity with Sonar API Integration",
        "url": "https://digitalterminal.in/startup/clinically-becomes-first-indian-startup-featured-by-perplexity-with-sonar-api-integration",
        "date": "Jul 23, 2025"
      },
      {
        "title": "AI-powered Skin Care: Clinikally Revolutionizes Dermatology with AI Technology, ETRetail",
        "url": "https://retail.economictimes.indiatimes.com/news/health-and-beauty/clinikally-revolutionizes-dermatology-with-ai-technology/122859426",
        "date": "Jul 22, 2025"
      },
      {
        "title": "Clinikally - Perplexity API Platform",
        "url": "https://www.perplexity.ai/api-platform/case-studies/clinikally",
        "date": "Apr 08, 2025"
      },
      {
        "title": "Clinikally raises $2.6 Mn from Y Combinator, Tribe Capital, others",
        "url": "https://entrackr.com/2023/09/clinikally-raises-2-6-mn-from-y-combinator-tribe-capital-and-others/",
        "date": "Sep 28, 2023"
      },
      {
        "title": "Soteri Skin And Clinikally Partner To Launch Into $27 Billion Indian Beauty Market - Daily Retail News",
        "url": "https://retailboss.co/soteri-skin-and-clinikally-india-market-partnership/",
        "date": "May 24, 2023"
      }
    ],
    "launches": [
      {
        "id": 90878,
        "title": "Clara by Clinikally: Your Full-Stack AI Assistant for Skin & Hair Health",
        "tagline": "Meet Clara, the AI dermatologist assistant that helps you analyze concerns, build routines, decode prescriptions, and discover the right products, all in one conversation.",
        "body": "**TL;DR**\n\nOver the last 3 years, Clinikally has helped millions of users make better skin and hair health decisions through its **dermatology-led commerce and care platform**. Clara started as an AI skin analysis product, and today it has evolved into a **full-stack AI assistant for dermatology**; combining analysis, guidance, product discovery, routine building, and prescription support in one experience.\n\n![uploaded image](/media/?type=post&id=90878&key=user_uploads/480320/ca033475-82fe-42d1-a02f-c81449db06f5)\n\n## 🤕 The Problem\n\n**The global challenge:** 3 billion people face skin issues, yet 90% can't access dermatologists due to cost and availability barriers.\n\nSkin and hair care decisions are still fragmented. Users jump between social media advice, search results, product catalogs, prescriptions they don’t fully understand, and doctor visits that are too expensive or too hard to access regularly.\n\n**India's crisis:**\n\n* 1 [dermatologist](https://clinikally.com/products/video-consult-with-a-skin-hair-specialist?utm_source=yc&utm_medium=blog&utm_campaign=290525+yc_launch_post) per 100,000 people\n* Consultations often require long journeys + weeks of waiting + month's skincare budget in fees\n* 70% of Indians live with untreated chronic skin concerns\n\nEven when people know they need help, they usually don’t know where to begin: What is this concern? Which products are right for me? How do I build a routine? What does my prescription actually do? **Clara is built for that exact gap.**\n\n## 💡 Our Solution\n\nClara is your **AI assistant for skin and hair health**. You can start with a face or hair analysis, ask Clara questions in chat, get tailored routines, receive product recommendations, and even upload a prescription to understand what it means and which products match it.\n\nInstead of giving users a static report and leaving them there, Clara helps them move all the way from confusion to clarity to action. That makes Clara useful not just once, but every time someone has a skincare or haircare decision to make.\n\n![uploaded image](/media/?type=post&id=90878&key=user_uploads/480320/9c355c2d-b7dd-4382-a40e-9f99ee36597d)\n\n**What Clara can do:**\n\n* Analyze face and hair concerns with AI-powered flows.\n* Recommend personalized routines based on user concerns.\n* Suggest relevant products with dermatology-backed guidance.\n* Explain prescriptions and match them to useful products.\n* Answer ongoing skin and hair questions in a conversational interface\n\n## 💡 How Clara Works\n\n1. Start with your concern. Scan your face, choose hair/scalp analysis, upload a prescription, or just ask a question in chat.\n2. Clara understands the context and gives you structured guidance instead of generic internet advice.\n3. You get personalized recommendations across routines, products, and next steps.\n4. When needed, Clara can work as the intelligent layer connecting users to Clinikally’s broader dermatology ecosystem.\n\n## **Why this matters**\n\nMost skincare tools do one thing well: analysis, product discovery, or consultation intake. Clara is designed to unify those moments into one assistant experience. The result is a product that feels less like a calculator and more like an always-available dermatologist copilot.\n\nFor users, that means faster decisions and better clarity. For us, it means Clara can become the highest-intent entry point into personalized dermatology journeys across Clinikally.\n\n## **Try Clara**\n\nYou can now use Clara to:\n\n* Analyze your skin or hair\n* Ask dermatology questions\n* Build a customized routine\n* Get product suggestions\n* Upload a prescription for instant guidance\n\n**⭐⭐ Try Clara here:** [clara.clinikally.com](https://clara.clinikally.com) **⭐⭐**\\\n**Open the assistant directly:** [clara.clinikally.com/chat](https://clara.clinikally.com/chat)\n\n**More exciting features are coming**: Scalp scanning and cross-platform mobile apps for our full-stack e-pharmacy and [dermatologist consult](https://clinikally.com/products/video-consult-with-a-skin-hair-specialist?utm_source=yc&utm_medium=blog&utm_campaign=290525+yc_launch_post) platform launching later this year. Stay tuned!\n\n_— Arjun & the Clinikally Team_\n\n## 🚀 Our Ask\n\nWe’d love feedback on where Clara feels most valuable: analysis, routine generation, product guidance, prescription understanding, or conversational support. We’re especially interested in edge cases where users move between multiple needs in one journey, because that is exactly the behavior we are building Clara around.\n\nCheck Clara out at[ ](https://withjanus.com/)[clara.clinikally.com](https://clara.clinikally.com)\n\nEmail us with feedback, thoughts and suggestions at [developers@clinikally.com](mailto:team@withjanus.com)",
        "url": "https://www.ycombinator.com/launches/Ndm-clara-by-clinikally-your-full-stack-ai-assistant-for-skin-hair-health",
        "votes": 76,
        "created_at": "2025-05-30T14:05:32.615Z"
      },
      {
        "id": 65659,
        "title": "Clinikally: India's one-stop Telemedicine Platform & Online Pharmacy for Dermatology Care",
        "tagline": "Multi-condition health platform with Telehealth, AI-powered treatment plans, and Rx-grade products in a single place!",
        "body": "![uploaded image](/media/?type=post&id=65659&key=user_uploads/480320/228dc38a-82d9-4fe0-a4d5-7c71f908272a)\n\n### **What is** [**Clinikally**](https://www.clinikally.com)**?**\n\nA new kind of digital health, Clinikally is India’s one-stop platform for telehealth & doctor-recommended products in Dermatology, Nutrition and Overall Wellness.\n\nWe routinely treat leading indications like eczema, acne, hyperpigmentation, and pattern alopecia across 500 cities in India.\n\n### **How does it work?**\n\n* Connect with a specialty provider in under 30 minutes (next-day appointments available as well)\n* Receive doorstep delivery of a personalized treatment plan\n* Get products from our in-house [online pharmacy](https://www.clinikally.com/collections/all)\n* Your treatment plan will include award-winning, patented solutions like a unique DMS technology-based [moisturising cream](https://www.clinikally.com/products/clinikally-hydrasoothe-moisturiser) and [pigmentation cream](https://www.clinikally.com/products/clinikally-pigment-corrector-cream).\n\nOur virtual care is entirely science-based and personalized to each patient, based on previous prescription history, medical parameters, family history, lifestyle, surroundings and preexisting health issues.\n\n**📈 Milestones**\n\n* 30 months since launch: Over 1,000,000 users across 500 cities\n* 50% users from Tier 2 & 3 cities, where dermatology care & nutrition remains grossly underserved **🇮🇳**\n* 4.75 NPS for Telemedicine 👩‍⚕️👨‍⚕️\n\n**⚡️ The Problem & Our Mission**\n\n300 million Indians face some skin/hair issue, and there is only 1 dermatologist available for every 200,000. While large numbers of patients often visit major dermatology clinics in cities like Delhi, Mumbai and Bengaluru from far and wide, it becomes cost-prohibitive and inconvenient to consistently follow up in-person.\n\nMoreover, the acceleration of digital health driven by COVID lockdowns has further demonstrated to physicians and patients alike that a growing number of derma conditions can be treated through a combination of telehealth and a preset number of dermatologist-recommended products.\n\nWe are democratizing dermatology in India like never before, condition by condition, and shipping solutions that actually work.\n\n👋 **Team**\n\nFounder is a **Stanford CS Grad + Stanford Med Researcher**; Chief Medical Officer is a **Cambridge-trained dermatologist** who runs one of India’s largest dermatology practices; Head of Ops has 15+ years at **Allergan.**\n\nWe are approaching this problem with extensive experience from the multi-faceted angles of digital health, clinical dermatology, and pharma.\n\n**🤝 Quick Ask**\n\n* Follow us on [Instagram](https://www.instagram.com/clinikallyofficial/?hl=en) & [Twitter](https://twitter.com/weareclinikally), where we constantly disseminate highly informational & scientific content.\n* Conditions or products that you’d like us to expand coverage for?\n* Feedback on the [www.clinikally.com](http://www.clinikally.com) UI/UX is always welcome!\n\n**Talk to us** - Interested in working, learning more, researching or collaborating? Email [arjunsoin@clinikally.com](mailto:arjunsoin@clinikally.com) or visit [**www.clinikally.com**](http://www.clinikally.com)",
        "url": "https://www.ycombinator.com/launches/H51-clinikally-india-s-one-stop-telemedicine-platform-online-pharmacy-for-dermatology-care",
        "votes": 675,
        "created_at": "2022-08-27T10:18:25.303Z"
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    "website": "http://www.cisternabx.com",
    "all_locations": "San Diego, CA, USA",
    "long_description": "Founded in 2022 and based in San Diego, California, Cisterna Biologics is a technology company. It aims to solve some of the challenges currently facing the biotech industry to develop mRNA-based therapeutics – quality, quantity, longevity and cost of mRNA. As mRNA technology matures, it becomes imperative that these issues are solved so we can fully explore mRNA's endless possibilities as a therapeutic.\r\n\r\nCisterna uses proprietary technologies to either remove a contaminant at its source or replace the source itself. For example, to remove double-stranded RNA (dsRNA), we use ribozymes - molecular scissors - to precisely cut the mRNA at its 3’ end. This assures not only 3’ homogeneity, but also eliminates dsRNA, which are primarily produced due to self-templated additions at the 3’ end. Utilizing a PCR-like system to amplify the DNA template in large quantities eliminates the requirement for plasmid enrichment in bacteria, the prime source of endotoxin contamination. These are just a few examples of Cisterna’s powerful technologies being used to achieve our goal of 10x higher quality mRNA for therapeutic application.",
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    "year_founded": 2022,
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    "country": "US",
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        "full_name": "Hari Bhaskaran",
        "title": "Founder",
        "founder_bio": "Hari Bhaskaran's journey with RNAs started with ribozymes (catalytic RNAs) almost 20 years ago in the labs of Rick Russell at UT Austin. His PhD work was focused on mechanistic understanding of RNA folding, culminating in a seminal publication in Nature (see Bhaskaran and Russell, 2007). Since then, he has held positions of increasing responsibilities in both academia and industry. He is the author of several publications and industry patents.",
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    "launches": [
      {
        "id": 64126,
        "title": "Cisterna Biologics - High quality mRNA for therapeutic application 👩🏽‍🔬",
        "tagline": "Cisterna uses proprietary technologies to build the next generation of mRNA, free of impurities, at a fraction of the price.",
        "body": "Cisterna Biologics is a technology company. It aims to solve the main challenges currently facing the biotech industry to develop mRNA-based therapeutics – quality, quantity, longevity and cost of mRNA. As mRNA technology matures, it becomes imperative that these issues are solved so we can fully explore mRNA's endless possibilities as a therapeutic.\n\n### **Context:**\n\nMany of you likely had mRNA vaccines to protect against COVID-19 - but how many of you know that mRNAs are being developed into other cutting edge, life-saving therapeutics? It is very likely that a large portion of the future treatments that you and I take for a number of ailments will be in the form of mRNA-based therapeutics. The range of diseases that mRNA promises to treat include heart disease, liver dysfunction, solid tumors, blood cancers, and several genetic disorders.\n\n### **Problem:**\n\nFor therapeutic applications, the quality of the mRNA needs to be extremely high compared to mRNA used for vaccines. For example, one of the well-known contaminants, double-stranded RNA (dsRNA) is present in trace amounts alongside mRNA but it does no harm at the fractional doses in mRNA vaccine (micrograms). However, higher and repeat dosage (milligrams) of the same, as applied to other mRNA applications and treatments, can potentially have devastating consequences if we do not remove the dsRNA first. Currently, Pharma companies spend millions of dollars to remove dsRNA by employing multiple chromatography purification systems. Unfortunately, these processes add to the cost of production of single chromatography purifications and lead to substantial wastage of mRNA, thereby resulting in poor yields - the latter adding even more to the costs of production.\n\n### **Solution:**\n\nCisterna uses proprietary technologies to either remove a contaminant at its source or replace the source itself. To remove dsRNA, we use ribozymes (molecular scissors) to precisely cut the mRNA at its 3’ end. This assures not only 3’ homogeneity, but also eliminates dsRNA, which are primarily produced due to self-templated additions at the 3’ ends. Utilizing a PCR-like system to amplify the DNA template in large quantities eliminates the requirement for plasmid enrichment in bacteria, the prime source of endotoxin contamination. Additionally, doing away with plasmids completely means a further reduction in extraneous dsRNA arising from cryptic promoter sequences in the undigested non-template strand. These are just a few examples of Cisterna’s powerful technologies being used to achieve our goal of 10x higher quality mRNA for therapeutic application.\n\n### **Founder:**\n\nHari Bhaskaran completed his Ph.D. at UT-Austin under the mentorship of Dr. Rick Russell; his thesis was published in the prestigious journal Nature. He has held positions of increasing responsibilities in both academia and industry. His roles have led him to produce innovative mRNA construct designs for therapeutics, create scale-up techniques for manufacturing and improve process development for purifications and analytics. He is the author of several publications and industry patents.\n\n### **Asks:**\n\nIf you’d like to more about Cisterna’s high-quality mRNA, please feel free to reach out to [founders@cisternabx.com](mailto:founders@cisternabx.com)",
        "url": "https://www.ycombinator.com/launches/GgI-cisterna-biologics-high-quality-mrna-for-therapeutic-application",
        "votes": 23,
        "created_at": "2022-06-28T03:56:26.502Z"
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    "name": "Serinus Biosciences",
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        "body": "We're **Adam** and **Max**, the founders of **Serinus Biosciences** 💊💻🤓\n\nAt Serinus, we develop drugs that are effective against **multiple types of cancer**, and because cancer patients need solutions now, we do it in **months instead of years!**\n\n### **_Cancer: an insidious disease with insidious economics_** 💰💰💰\n\nCurrently, **more than 80% of cancer patients** are not eligible for targeted cancer therapies - the most efficient and least toxic cancer treatments. _Why?_ Because the proteins driving cancer in one patient are often different than those driving cancer in another patient.\n\nHere's where the economics comes in. The cost of bringing a new cancer drug to market is currently **>$2.5 BILLION**. Developing a drug against a protein that only causes cancer in a small number of patients each year is just not economically viable with traditional drug development.\n\n### **_The Serinus Strategy_** 💡\n\nWhile building AI tools to understand the causes of cancer during our PhDs at MIT, we had a realization: all the different cancer-causing proteins disrupt the same cellular systems. **We shut down these shared dysfunctional systems.**\n\n_How?_ We look for the support proteins that keep the system functioning. Think about a telephone system ☎️ If you want to bring it down, you should find the small number of relay stations that route messages across the network instead of hitting the individual phones. **We find the relay stations of cancer cells and bring them dow**n ☠️☠️☠️\n\nSince cancer systems are widely shared across patients, the relays that support those systems are widely shared across patients. Our current pipeline **could help more than 100K PATIENTS PER-YEAR!**\n\n### **_The knowledge (and stubbornness) to get it done_** 🤓 😎\n\nWe met on the very first day of our PhDs at MIT. It was a cancer-fighting match made in heaven. Adam comes from an AI/ML background, Max comes from a biology and statistics background, having given up his place in medical school so he could develop new treatments for patients in need by merging biology, mathematics, and computer science.\n\nOh, and did we mention that Adam is a former Navy SEALs commander and Max spent five years as a paramedic.\n\n**_How can you help?_**\n\nOur platform is churning out way more ways to kill cancer than we can pursue ourselves. If you or someone you know works at another therapeutics company that might be interested in co-developing a drug with us, give us a shout on [founders@serinus.bio](mailto:founders@serinus.bio)",
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        "title": "Dr. Treat: Tech-enabled veterinary care for highly personalized in-clinic and virtual care.",
        "tagline": "Personalized & preventive veterinary care",
        "body": "**What is Dr. Treat**\n\nDr. Treat is a tech enabled veterinary care company offering virtual and in-clinic services to pet parents. Our technology is designed to offer highly personalized & preventative care for every pet. \n\nWe deliver care that is research-based and personalized to each pet, based on their genetic makeup, health markers, diet, lifestyle, surroundings and any preexisting health issues or other predispositions.\n\nOur first market is San Francisco Bay Area, and we expect to launch across other markets across California and other states.\n\n![uploaded image](/media/?type=post&id=64798&key=user_uploads/5518/463b20b7-99da-4b86-a04a-b5bb27cbb9c2)\n\n**What makes Dr. Treat, a treat?**\n\nWe are building the next generation pet health company to deliver very personalized care to every pet all while creating a seamless, stress-free customer experience:\n\n* Proprietary Telehealth & Telemedicine platform for 24/7 virtual care, integrated into Dr. Treat’s app for all your pet’s health needs\n* End to end pharmacy integration\n* Easy access to patient data, notifications, reminders and communication between the vets & pet parents\n* Fully integrated experience & workflows\n* Beautifully designed clinics for a stress-free experience\n\n**How it works**\n\nDr. Treat is a membership-based veterinary care practice, designed around your pet’s unique needs. Working like a clinic, but offering so much more through our:\n\n1. 24/7 virtual care platform and beautifully designed clinics\n2. Tailor-made pet care plan to suit your pet’s unique requirements\n3. Breed-specific consultations through a genetic breed test offered as part of the program\n4. Same day or next day appointments\n5. Research-based treatments\n6. Door-delivery of meds all \n\n![uploaded image](/media/?type=post&id=64798&key=user_uploads/5518/e13c2ca0-84cd-4fbc-bff7-ec4296d33840)\n\n\n> **A** [**short video**](https://youtu.be/ak_5YxRdfGg) **of Dr. Treat’s experience:**\n\n![uploaded image](/media/?type=post&id=64798&key=user_uploads/5518/3bf98846-57f5-4b6f-bd93-6700bac68ada)\n\n**Our target audience**\n\n* Any cat or dog parents that are in the Bay Area today that want quality care for their pets \n* Gen Z and Millennial who value convenience and seamless customer experiences\n\n![uploaded image](/media/?type=post&id=64798&key=user_uploads/5518/506ad20e-ffe9-4ca6-bf7a-24dec28ce5f3)\n\n**Our ask:**\n\n* **Customer acquisition:** Share this post! Please help spread the word, because we want to hear from early adopters who will use this service.  \n* **Feedback:** We would love to hear from all of you on your pain points and delight moments as it relates to your pet’s health. \n* **Partnerships:** Connect us with companies that may want to offer Dr. Treat to their employees as an additional perk for increased employee retention.\n\nQuick blurb to copy & paste: A team of entrepreneurs and veterinarians recently launched a very innovative pet health company to offer highly personalized veterinary care through a membership model. Check them out and contact [rakesh@drtreat.com](mailto:rakesh@drtreat.com) for more.",
        "url": "https://www.ycombinator.com/launches/Gr8-dr-treat-tech-enabled-veterinary-care-for-highly-personalized-in-clinic-and-virtual-care",
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        "id": 64799,
        "title": "Dr. Treat: Tech-enabled veterinary care for highly personalized in-clinic and virtual care",
        "tagline": "One Medical for Pets",
        "body": "**What is Dr. Treat**\n\nDr. Treat is a tech enabled veterinary care company offering virtual and in-clinic services to pet parents. Our technology is designed to offer highly personalized & preventative care for every pet. \n\nWe deliver care that is research-based and personalized to each pet, based on their genetic makeup, health markers, diet, lifestyle, surroundings and any preexisting health issues or other predispositions.\n\nOur first market is San Francisco Bay Area, and we expect to launch across other markets across California and other states.\n\n![uploaded image](/media/?type=post&id=64799&key=user_uploads/5518/463b20b7-99da-4b86-a04a-b5bb27cbb9c2)\n\n**What makes Dr. Treat, a treat?**\n\nWe are building the next generation pet health company to deliver very personalized care to every pet all while creating a seamless, stress-free customer experience:\n\n* Proprietary Telehealth & Telemedicine platform for 24/7 virtual care, integrated into Dr. Treat’s app for all your pet’s health needs\n* End to end pharmacy integration\n* Easy access to patient data, notifications, reminders and communication between the vets & pet parents\n* Fully integrated experience & workflows\n* Beautifully designed clinics for a stress-free experience\n\n**How it works**\n\nDr. Treat is a membership-based veterinary care practice, designed around your pet’s unique needs. Working like a clinic, but offering so much more through our:\n\n1. 24/7 virtual care platform and beautifully designed clinics\n2. Tailor-made pet care plan to suit your pet’s unique requirements\n3. Breed-specific consultations through a genetic breed test offered as part of the program\n4. Same day or next day appointments\n5. Research-based treatments\n6. Door-delivery of meds all \n\n![uploaded image](/media/?type=post&id=64799&key=user_uploads/5518/e13c2ca0-84cd-4fbc-bff7-ec4296d33840)\n\n\n> **A** [**short video**](https://youtu.be/ak_5YxRdfGg) **of Dr. Treat’s experience:**\n\n![uploaded image](/media/?type=post&id=64799&key=user_uploads/5518/3bf98846-57f5-4b6f-bd93-6700bac68ada)\n\n**Our target audience**\n\n* Any cat or dog parents that are in the Bay Area today that want quality care for their pets \n* Gen Z and Millennial who value convenience and seamless customer experiences\n\n![uploaded image](/media/?type=post&id=64799&key=user_uploads/5518/506ad20e-ffe9-4ca6-bf7a-24dec28ce5f3)\n\n**Our ask:**\n\n* **Customer acquisition:** Share this post! Please help spread the word, because we want to hear from early adopters who will use this service.  \n* **Feedback:** We would love to hear from all of you on your pain points and delight moments as it relates to your pet’s health. \n* **Partnerships:** Connect us with companies that may want to offer Dr. Treat to their employees as an additional perk for increased employee retention.\n\nQuick blurb to copy & paste: A team of entrepreneurs and veterinarians recently launched a very innovative pet health company to offer highly personalized veterinary care through a membership model. Check them out and contact [rakesh@drtreat.com](mailto:rakesh@drtreat.com) for more.",
        "url": "https://www.ycombinator.com/launches/Gr9-dr-treat-tech-enabled-veterinary-care-for-highly-personalized-in-clinic-and-virtual-care",
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        "full_name": "John Goertz",
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        "title": "🧪 Signatur Biosciences diagnoses anything with a simple PCR test.",
        "tagline": "We expand PCR testing to a whole new range of diseases!",
        "body": "**tl;dr:** Signatur Biosciences is a B2B molecular diagnostics design company. Our technology expands PCR testing to a whole new range of conditions. We design smart PCR kits that can detect complex diseases as easily as a COVID test, using standard qPCR machines. Our tests seamlessly integrate into existing clinical workflows and ubiquitous laboratory instruments, empowering us to become _the_ enabling technology platform for a $20B industry.\n\n👋 Hey everyone! We’re Celestin and John. We are determined to transform the state of medical diagnostics. We set out to find a solution that delivers state-of-the art diagnosis on ubiquitous instrumentation to put cutting-edge healthcare within the reach of everyone, everywhere.\n\n### **The Problem.**\n\nRight now, PCR testing is limited to simple diseases. Covid is a good example. You take a sample from a patient and look for one biomarker. If the biomarker is there, the patient has the disease; no biomarker, no disease. Simple.\n\nBut most conditions aren't that simple. There’s a $20B industry using _patterns_ of multiple biomarkers that diagnose complex diseases, but to deploy their tests they’re relying on legacy technologies that are too slow and expensive to really help people, limiting their market reach.\n\n### **🧬 Signatur Biosciences’s solution.**\n\nOur platform expands PCR testing to a whole new range of conditions, beyond just infectious disease to include everything from chronic diseases, treatment selection, and disease monitoring.\n\nWe have re-engineered the molecular architecture of the polymerase chain reaction, empowering it to process the information from multiple biomarkers simultaneously. We combine the power of gene signature diagnosis with the **_ease and familiarity of a single PCR reaction._**\n\nEvery biomedical lab in the planet is equipped with PCR machines. This was true before the pandemic. But as a response to the pandemic, the PCR testing capacity in the US has increased by 5500% (3000% in the UK). We are giving those machines something new to do.\n\n### **🚀 How can Signatur Biosciences help me?**\n\nWe are partnering with companies to design our platform around their biomarker panels, offering broader market reach bringing such tests to more patients.\n\nIn parallel, we are building our own assay portfolio. We are developing our own internal pipeline of tests to tackle diseases that can only be interrogated by our technology.\n\n### **How you can help.**\n\nWe are looking for introductions to companies in the molecular diagnostics space. This could be companies developing portable hardware. Specifically developing genomic testing, or assays based on gene expression analysis.",
        "url": "https://www.ycombinator.com/launches/Gl3-signatur-biosciences-diagnoses-anything-with-a-simple-pcr-test",
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    "name": "Illuminant Surgical",
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        "body": "**💡TL;DR**\n\n* We give doctors X-ray vision without the need for headsets or monitors.\n* It works in any operating room, requires zero wearables, and seamlessly integrates into existing workflows.\n* We're starting with spine surgery, pain management, and interventional radiology - 11M+ annual procedures in the U.S.\n\n![uploaded image](/media/?type=post&id=65365&key=user_uploads/636938/0a341696-1b40-4543-b52f-2cc145a6579f)\n\n**❌ The Problem: Patient Access Is Stuck In The 1800s**\n\nEvery year, hundreds of millions of procedures require precise access to internal anatomy. Whether placing a screw in the spine, inserting a needle for a biopsy, or advancing a catheter, precision is critical. Yet surgeons still rely on outdated tools: fluoroscopy, “feel”, and mental reconstruction, leading to inefficiencies, complications, and billions in unnecessary healthcare costs.\n\nThis has serious consequences:\n\n* For patients – misplaced implants, vascular injuries, and nerve damage result in repeat procedures, extended hospital stays, and life-altering complications.\n* For hospitals – preventable surgical revisions cost tens of billions annually in unnecessary expenses\n* For surgeons – Cumbersome tools and methods that extend case time, increase cognitive load, and limit the number of patients they can treat.\n\nSpine surgery and interventional access are two of the fastest-growing segments and also among the most accuracy-dependent.\n\nIn the US alone:\n\n* 1.6 M spine surgeries where millimeters can mean the difference between mobility and disability.\n* 9.5 M interventional procedures that rely on accurate percutaneous access to treat and diagnose hundreds of different conditions and diseases.\n\n**This is a $10B+ unmet need.**\n\n**🔎 Our Solution: See Inside The Patient in Real Time, Directly On The Body**\n\nWe’ve built a new way of seeing inside the human body: Skylight is the first real-time anatomical projection system built to solve the problems with patient access. Instead of forcing doctors to look away at a screen, Skylight projects anatomy directly onto the patient, like an AR display—but without headsets, wearables, or extra steps.\n\n![uploaded image](/media/?type=post&id=65365&key=user_uploads/636938/8f98ebe8-aa8b-44e5-aac5-1b03d5105bfd)\n\nTo make this happen, we’ve developed a novel method of tracking the patient with sub-millimeter accuracy and we’ve built this system to be universally compatible with industry-standard tools and scanners to allow adoption without changing workflow.\n\n![uploaded image](/media/?type=post&id=65365&key=user_uploads/636938/d4213fc6-0747-4211-8bc3-56a309fd14c9)\n\n**Just as fiber optics revolutionized how we do laparoscopy and minimally invasive surgeries, anatomical projection will become the new standard for patient access.**\n\n**Who We Are:**\n\nWe’re James and Eldrick, two Stanford engineers who first met as freshman dormmates and have now worked together for over a decade.\n\n💉James: MD, bioengineer, scientist, and medical device builder.\n\n⚙️ Eldrick: Experienced deep-tech founder. Built chips at Apple and led hardware-software teams at a lidar startup.\n\nWe’ve assembled a world-class team of engineers, clinicians, and medical device experts to solve tough problems at the intersection of medicine, computer vision, graphics, and hardware development.\n\n![uploaded image](/media/?type=post&id=65365&key=user_uploads/636938/f5a0197a-718d-45cf-b2bd-f71769312830)\n\n**We’re looking for:**\n\n🩺 Clinicians → If you do spine, pain management, or IR, let’s talk.\n\n🏥 Hospital Partners → Want to be at the forefront of procedural navigation? Reach out.\n\n📰 Media → We’re redefining how doctors see. Let’s get the word out.\n\nEmail us [founders@illuminant.ai](mailto:founders@illuminant.ai) 💡",
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        "title": "🌸 Malama - Manage Diabetes in Pregnancy with Ease",
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        "body": "**tl;dr:** We make it easy for patients to log, track and receive tailored insights to avoid adverse outcomes related to diabetes in pregnancy. For providers, we eliminate manual data entry, enable remote patient monitoring and reduce administrative burden. **Check out our** [**app**](https://malama.app.link/ls0jrjcQjrb) **on GooglePlay/iOS!**\n\nHi everyone, we’re Mika, Orlando, Shalmali and Daniela aka the team behind [Malama](https://www.heymalama.com).\n\n![uploaded image](/media/?type=post&id=64437&key=user_uploads/972065/4ecb7ffa-cfed-4ff5-a6b8-104967e166b2)\n\n_from left to right:_\n\n**🎯** [Orlando](https://www.linkedin.com/in/orlandoli/) keeps us on target: 10+ years as an engineer, 4+ years at Airbnb. Chat with me about #food #ruby-on-rails\n\n**👀** [Mika](https://www.linkedin.com/in/mikawang/) acts as our eyes towards the future: 10+ years in healthcare, mom of a 21 month-old tyrant, previously Director of Clinical Product Innovation at Optum. Chat with me about #GDM #interoperability #digitalhealth #parenting\n\n**💖** [Daniela](https://www.linkedin.com/in/daniela-bahamon-arango/) carries our creative heart: 10+ years designing beautiful products for women, previously founder of Maison Alma, ex-L’Oreal and LVMH. Chat with me about #branding #design #community\n\n**🧠** [Shalmali](https://www.linkedin.com/in/shalmalibane/) tends our inquisitive mind: 7+ years in research, currently all but the dissertation at Stanford Medical school getting a PhD in Reproductive and Perinatal Epidemiology. Chat with me about #pregnancyresearch #studyinclusivity #trialdesign #bias\n\n# What is diabetes in pregnancy and why does it matter? 🧐\n\nRoughly [1 in 6 births](https://www.idf.org/our-activities/care-prevention/gdm) are affected by some sort of hyperglycemia - or high blood sugar - in pregnancy, with the average annual economic burden around [$6k per case](https://pubmed.ncbi.nlm.nih.gov/30940641/). Further, [50% of women](https://www.cdc.gov/diabetes/basics/gestational.html) with gestational diabetes mellitus (GDM) will go on to develop type II diabetes, which costs 1 in 7 U.S. healthcare dollars today.\n\nWe started working on this after our cofounder, Mika, developed GDM in pregnancy and was told her son was in the 99th percentile growth range and would likely need a C-section to be delivered. Luckily, she was able to manage her GDM through diligent tracking, trigger identification and diet changes, and now we are bringing this knowledge to help millions of other women who experience the same anxiety, panic and isolation each year.\n\n![uploaded image](/media/?type=post&id=64437&key=user_uploads/972065/ede51043-7ada-46cf-8816-74861dcc7e4a)\n\nShort-term risks of GDM include a 1.5x greater likelihood of requiring an emergency C-section, and a 1.4x greater likelihood of preterm birth. For babies of mothers with GDM, there is an increased risk of cardiac defects, and lifelong metabolic abnormalities.\n\nDiabetes during pregnancy has also increased significantly in recent years. [Recent studies](https://www.cdc.gov/reproductivehealth/maternalinfanthealth/diabetes-during-pregnancy.htm) found that from 2000 to 2010, **the percentage of pregnant women with gestational diabetes increased 56%** while the percentage of women with type 1 or type 2 diabetes before pregnancy increased 37%. Experts are alarmed by the [continued increase](https://www.washingtonpost.com/health/2022/04/08/gestational-diabetes-worrisome-increase-pregnancy/) and disproportionate effect on racial and ethnic minorities.\n\n# **Our ask 🙏**\n\n* **Download our** [**app**](https://malama.app.link/ls0jrjcQjrb) (_bonus_: share your feedback with us at [founders@heymalama.com](mailto:founders@heymalama.com))\n* **Share this post!** Please help spread the word, as you never know who it may help (_many women are not open about a sensitive diagnosis and are suffering in silence_)\n* Connect us with **Providers** (OBs and MFMs, Nutritionists, Certified Diabetes Experts), **Patients**, and **Payers** (particularly innovative Medicaid payers)\\*\n\n  _\\* quick blurb to copy & paste:_ A team of Stanford students and researchers recently released an [app](https://malama.app.link/ls0jrjcQjrb) to reduce administrative burden and improve management of diabetes during pregnancy. Check them out and contact [founders@heymalama.com](mailto:founders@heymalama.com) for more.",
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        "body": "# **Problem**\n\n**Most people struggle alone for years**\n\nAnd it makes it nearly impossible to see improvement. The person might turn to friends and family, but they overreact or aren’t able to effectively support because they can’t relate. On top of that, professional help or in-person groups can be expensive, and it takes a lot of courage to get there.\n\n**Even those attending in-person groups (e.g. AA) feel isolated between weekly meetings**\n\nFor the minority who do join a group-based program, meetings are usually held only once a week — leaving participants largely on their own the other six days of the week.\n\n# **Solution**\n\nRelay helps users…\n\n* Get matched into a team of 5-8 peers\n* Experience meaningful connection and avoid slipping back into isolation\n* Find shame-free accountability\n* Train emotional awareness and understand patterns/triggers\n* Throw a red flag (i.e. SOS) with a single tap to let their team know they need help when feeling vulnerable\n\nSince launching in September 2021, 79% of our users have reported seeing improvement within their first month of using the app.\n\n## **Why we’re tackling this**\n\nMembers on our team have struggled personally with addiction and saw first-hand the power that comes from forming an effective team of peers for connection and accountability. We’ve also had many friends and loved ones who have dealt with these challenges, and so it’s a problem we’re deeply passionate about solving.",
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        "title": "KemNet 🚀  Because Not All Pills Should Be Swallowed! 💊",
        "tagline": "We supply premium reformulated medications for specific groups of patients.",
        "body": "**Imagine**\n\nEver wondered if taking medications could be a pleasurable experience? 🤔\n\n🤓 or wondered how long it takes for Erectile Dysfunction medications to work when they are swallowed? … whilst wondering this, did you ever also randomly wonder \\[for no apparent reason\\], [how long they take to work after that fatty steak](https://www.mayoclinic.org/diseases-conditions/erectile-dysfunction/in-depth/erectile-dysfunction/art-20047821) and red wine date night?\n\nDid you know that [50% of patients](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3068890/) do not take their medications as prescribed? … for many reasons … including complicated regimens and unpleasant medication use experiences. 👀\n\n**About Us**\n\nI am [Morẹ́nikẹ́ Ẹniọlá Ọláòṣebìkan](https://www.ycombinator.com/companies/kemnet) and I am thrilled to share **KemNet** with you. 😇\n\nKemNet supplies pharmacies with premium reformulations of popular drugs that are more useful for specific groups of patients. For example, we supply reformulated products for erectile dysfunction that work up to 8 times faster than alternatives 🎉. In addition to sexual function, other reformulated products for novel drug delivery are supplied on KemNet including medications for beauty, hair growth, pain, weight loss and women’s health.\n\nWe are a Business to Business - “Amazon” for customized medications.\n\nAt KemNet we think that empathy is great for patient care so we source and supply customized medications accordingly. Patients adhere to medications that are formulated to work faster, and are enjoyable to use, with reduced side effects. It turns out that empathizing with patients by design is also really good business, because our pharmacy customers’ bottom-line grow as well. I stumbled into these insights around empathy by medication formulation design, as a multi-pharmacy owner.\n\n<https://www.youtube.com/watch?v=2U2G5QED3SU>\n\n**Calling You … Yes… YOU!**\n\n**Patients**\n\n**_Interested in learning more about our personalized fast acting medication formulations for yourself?_**\n\n[REGISTER](https://forms.gle/pi6TAgjqQWhXMJWe7) by August 31st.\n\n_Tell a friend._ _Spread the_ ❤️ _Share this post!_\n\n_-_\n\n**Prescribers**\n\n**_Interested in learning more about our_ personalized fast acting medication formulations for your patients?**\n\n[SUBSCRIBE](https://forms.gle/ivNbgewqLRdC7gyQ9)\n\n_Tell a friend._ _Spread the_ ❤️ _Share this post!_\n\n_-_\n\n**YOU!**\n\n**_Tell Physicians, Nurse Practitioners, Pharmacists about KemNet_**\n\n_\\* quick blurb to copy & paste:_ A multiple award winning, serial entrepreneur and pharmacy owner is contributing to the future of medicine by supplying personalized patient centred medications. Check her out and contact [founders@kemnet.ca](mailto:founders@kemnet.ca) for more.\n\n_Tell a friend._ _Spread the_ ❤️ _Share this post!_",
        "url": "https://www.ycombinator.com/launches/Gxx-kemnet-because-not-all-pills-should-be-swallowed",
        "votes": 39,
        "created_at": "2022-08-09T04:44:05.947Z"
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    "name": "Solum Health",
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    "all_locations": "San Francisco, CA, USA",
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    "url": "https://www.ycombinator.com/companies/solum-health",
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    "year_founded": 2024,
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/solum-health",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
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        "full_name": "JP Montoya",
        "title": "Founder",
        "founder_bio": "Building the tool I wish I had when scaling my own practice (20,000 patients). Passionate about simplifying therapy operations with AI Automations.",
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        "title": "SDR",
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        "role": "Sales",
        "role_type": null,
        "salary_range": "$60K - $150K",
        "equity_range": "0.10% - 0.50%",
        "experience": "1+ years",
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        "skills": []
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        "url": "https://www.ycombinator.com/companies/solum-health/jobs/wql2dxJ-sdr",
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        "title": "Founding Full Stack Engineer",
        "url": "https://www.ycombinator.com/companies/solum-health/jobs/elFJlLp-founding-full-stack-engineer",
        "location": "CO / AR / US / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "AI engineer",
        "salary_range": "$4.5K - $7.5K / monthly",
        "equity_range": "0.25% - 0.75%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
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        "url": "https://www.ycombinator.com/companies/solum-health/jobs/IXbCFhl-founding-full-stack-engineer",
        "location": "US / San Francisco, CA, US / Remote (New York, NY, US; Miami, FL, US; Phoenix, AZ, US; Los Angeles, CA, US)",
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        "role": "Engineering",
        "role_type": "AI engineer",
        "salary_range": "$13K - $180K",
        "equity_range": "0.30% - 0.80%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
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        "id": 117298,
        "title": "Forward Deployed Engineer (FDE)",
        "url": "https://www.ycombinator.com/companies/solum-health/jobs/swRakoy-forward-deployed-engineer-fde",
        "location": "CO / AR / US / BR / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "AI engineer",
        "salary_range": "$4.5K - $7.5K / monthly",
        "equity_range": "0.25% - 0.75%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
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        "id": 117299,
        "title": "Founnding Forward Deployed Engineer (FDE) - Healthcare Operations",
        "url": "https://www.ycombinator.com/companies/solum-health/jobs/rt2Hgq1-founnding-forward-deployed-engineer-fde-healthcare-operations",
        "location": "San Francisco, CA, US / New York, NY, US / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "AI engineer",
        "salary_range": "$120 - $180",
        "equity_range": "0.25% - 1.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
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    ],
    "news": [
      {
        "title": "Momentu será la única startup colombiana en la cohorte de verano de Y Combinator",
        "url": "https://forbes.co/2022/07/21/actualidad/momentu-sera-la-unica-startup-colombiana-en-la-cohorte-de-verano-de-y-combinator/",
        "date": "Jul 26, 2022"
      },
      {
        "title": "Momentu, la plataforma colombiana que busca democratizar el acceso a la salud mental",
        "url": "https://www.elcolombiano.com/negocios/app-busca-democratizar-la-salud-mental-en-a-latina-DI16692414",
        "date": "Feb 27, 2022"
      },
      {
        "title": "Momentu, la startup que quiere cuidar tu salud mental",
        "url": "https://www.forbes.com.mx/momentu-startup-cuidar-salud-mental/",
        "date": "Jun 22, 2021"
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    "launches": [
      {
        "id": 64727,
        "title": "Momentu: democratizing mental health in Latin America",
        "tagline": "Momentu is a corporate mental health platform for LATAM",
        "body": "Hey! \n\nWe are JP Montoya and Noam Grebler and we are democratizing mental health access in LATAM. \n\n**Why does it matter?**\n\n75% of LATAM employees are facing a mental health challenge, but unfortunately, less than 25% are able to get the support they need.\n\n**This is what we do better than anyone else**\n\nWe address mental health challenges in employees by providing them 1-1 coaching, therapy, digital content, and more. As a result, we improve employee productivity, satisfaction and we reduce turnover.\n\nIn just 1 year since launching, we are already working with top companies in LATAM such as La Haus, Clara, Grupo Ecopetrol, Grupo Bolivar and Axa Colpatria, covering employees in +11 countries.\n\n**Why on earth did we decide to build this?**\n\nMental health is really close to us. JP evidenced how seeking support was a difficult challenge when he almost lost his best friend due to mental health challenges, while Noam started 6 years ago a mental health organization that provided peer to peer support to college students in USA. A Mental Health VC introduced us a year ago. Working on democratizing mental health in LATAM was a no brainer for us.\n\n**How to get started**\n\nWe are offering YC Companies 1 free month access to our platform + 15 1-1 sessions (therapy & coaching)\n\nPlease drop us a message to [jpmontoya@momentu.co](mailto:jpmontoya@momentu.co) and I will personally onboard your company into our Momentu Experience.",
        "url": "https://www.ycombinator.com/launches/Gpz-momentu-democratizing-mental-health-in-latin-america",
        "votes": 20,
        "created_at": "2022-07-19T11:17:38.816Z"
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    "id": 27159,
    "name": "Almond",
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    "website": "https://www.almondobgyn.com/",
    "all_locations": "Los Angeles, CA, USA",
    "long_description": "Almond is like One Medical but for women’s health: we make it easy to get great ObGyn care fast, both at our in-person offices and over telehealth.\r\n\r\nThe problem with traditional ObGyn practices is that physician time is misused, so patients get slow care. We're rebuilding back-office tech that saves physicians time, and we're hiring a wider range of care providers roles, which let us deliver better outcomes to patients and reduce the amount of time it takes to get their issue resolved.",
    "one_liner": "We make it easy to get great ObGyn care  in-person and over telehealth",
    "team_size": 8,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Consumer Health and Wellness",
    "launched_at": 1658432706,
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      {
        "user_id": 196433,
        "full_name": "Tara Raffi",
        "title": "Founder",
        "founder_bio": "- McKinsey consultant; served large US hospital systems\n- Early Ops and Marketing team member at Factual, a location-data tech company\n- Built McKinsey’s internal tech incubator; grew fund to $50M invested globally and hired team of 5, focused on user-centered design and healthcare",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/tararaffi/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fe0c1530790074fe4e0ffbdbd8d1e540cc326bdc.jpg"
      },
      {
        "user_id": 922870,
        "full_name": "Carly Allen",
        "title": "Founder",
        "founder_bio": "Carly Allen (Co-Founder & Chief Brand Officer of Almond) built her career in CAA's marketing division. Her background is in marketing and entertainment. She was Head of Production for global campaigns for brands like Coca-Cola, Nike, Marriott, Chipotle, and Bonobos, among others. Her focus has been in building purpose driven brands, which is desperately needed in the ObGyn space. Her late father was an ObGyn so she is deeply connected to this space. ",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/carly-allen-90a403130/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/68b6710407a51cdf34a7a4bd9f7e51a77fcb83f6.jpg"
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    ],
    "jobs": [],
    "news": [
      {
        "title": "Meet Almond. First Full-Service, Tech-Enabled OB-GYN In The Country",
        "url": "https://www.forbes.com/sites/cherylrobinson/2024/08/15/meet-almond-the-first-full-service-tech-enabled-ob-gyn-in-the-country/",
        "date": "Aug 15, 2024"
      },
      {
        "title": "Y-Combinator Alum Almond Raises $7M to Pursue Its Vision of Holistic OB/GYN Care – Femtech Insider",
        "url": "https://femtechinsider.com/almond-seed-round/",
        "date": "Nov 28, 2022"
      },
      {
        "title": "Almond launches full-service Ob-Gyn care to rebuild patient experience • TechCrunch",
        "url": "https://techcrunch.com/2022/11/22/almond-launches-full-service-ob-gyn-care-to-rebuild-patient-experience/",
        "date": "Nov 22, 2022"
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    ],
    "launches": [
      {
        "id": 65126,
        "title": "👩‍⚕️ Almond – ELEVATED CARE FOR DOWN THERE 🚺⬇️",
        "tagline": "We make it easy to get great ObGyn care, fast",
        "body": "We’re [Tara](https://bookface.ycombinator.com/user/196433) and [Carly](https://bookface.ycombinator.com/user/922870), and we’re excited to introduce [Almond:](https://almondobgyn.com/) we’re building a better healthcare experience for women 🌸 ✨\n\nTL;DR\n\nAlmond is like One Medical but for women’s health: we make it easy to get great ObGyn care, both at our in-person office and over telehealth.\n\n**We’re growing quickly.** Even before we opened our first location we hit $90k run rate revenue, and we’re booking out 3 weeks in advance.\n\n**You can book an appointment with us in LA.** Our first full service clinic just opened in Los Angeles (see a couple of photos below)!! Book an appointment at [www.almondobgyn.com](http://www.almondobgyn.com) or call 424-237-8406. Share with your friends and family to help the women in your life have a better option for ObGyn care. \n\n**Membership is affordable and we take all major insurance.**\n\n* Membership is $250 annually but our founding members can get their first year of membership for $150. \n* For visits, you can either use insurance or pay out of pocket. We accept Cigna, Aetna, Blue Shield, Anthem Blue Cross, and United HealthCare.\n\n### ObGyn today is broken\n\nAs women, we’ve had too many frustrating experiences with our ObGyn care. We may love our doctors but the process _around_ seeing the doctor can be terrible: long hold times to schedule, waiting a month or longer for an appointment, and often leaving an appointment with unclear next steps. Our modern world gives us so many great service experiences, yet when it comes to the most important aspect of our lives – our health – we are forced to put up with a slow, confusing process. \n\nBillions of dollars have been poured into modernizing primary care, yet women are still waiting for a better option for ObGyn care. The overturning of Roe is a harsh reminder that women still aren’t given the resources or the rights to be full decision makers over their own bodies. We are building Almond because women deserve better. \n\n### Why better ObGyn care matters\n\nThe impact of better ObGyn care is massive. There are 130M women in the US and they all need ObGyn care every year. On top of that, ObGyn is where women typically have their first intense, high stakes experiences with healthcare. We spend $200B a year on ObGyn care in the US; it is the second largest specialty by spend, after only primary care. Yet currently, women don’t have a brand they can trust and where they know they’ll have a great experience.\n\nAt Almond we believe women should have an extraordinary care experience: one that offers quality, transparent care, delivered faster. \n\n### We’re freeing up the ObGyn’s time so they can focus on what matters most\n\nOne of the first problems to tackle in ObGyn care is that doctor time is used inefficiently, wasting already limited ObGyn capacity. This makes access to care slow, and patients often feel their questions are unaddressed or they get unfit care.\n\nWe’re able to make care more convenient because we use doctor time better – we build software tools to take unnecessary tasks off their plates and we hire a wider range of care providers, not just doctors. By freeing up time for ObGyns they can spend more time on what matters most – delivering great care in every interaction, and seeing the patients that need their attention sooner.\n\nWe also believe getting [ObGyn](https://almondobgyn.com/) care should feel like a true-self care experience for patients, so our offices and software are designed to be convenient, reliable, and intuitive.\n\n### We would love your help\n\n1. We are hiring engineers. We’re particularly interested in meeting people who are passionate about what we are working on – e.g., they are women that have felt this pain themselves or are energized by the idea of building a better health system in the US. Here are our JDs for [backend](https://www.notion.so/Almond-Back-End-Engineer-423ff23660864e29be34fbd828ff0b6f) and [frontend](https://www.notion.so/Almond-Front-End-Engineer-7280fd76c3664dd1bb52864cc43f0126) eng roles. For any interested candidates, please reach out to us at [hello@almondobgyn.com](mailto:hello@almondobgyn.com). \n2. Book an appointment at [www.almondobgyn.com](http://www.almondobgyn.com) or call 424-237-8406. And share with your LA-based friends and family! \n3. We are hiring [gynecologists](https://almondobgyn.com/care-team). If you know somebody great who wants to change the way women’s health is delivered in the US, please send them our way at [hello@almondobgyn.com](mailto:hello@almondobgyn.com)!\n\nThanks!!\n\n![uploaded image](/media/?type=post&id=65126&key=user_uploads/922870/c0c6c5af-10c4-41ab-b887-bbc16b2fd08a)\n\n![uploaded image](/media/?type=post&id=65126&key=user_uploads/922870/8a3c56d2-7154-4c53-9ecf-a24b647d3e3a)\n\n",
        "url": "https://www.ycombinator.com/launches/GwQ-almond-elevated-care-for-down-there",
        "votes": 52,
        "created_at": "2022-08-04T07:36:41.475Z"
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    "name": "Entvin",
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    "website": "http://entvin.com?utm_source=yc",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Entvin is building AI agents specifically designed to support regulatory teams in the life sciences industry. \r\n\r\nOur platform leverages AI to streamline workflows, automate complex tasks, and enhance efficiency throughout the regulatory process. By focusing on the unique needs of regulatory teams, we help companies navigate compliance, accelerate approvals, and reduce operational bottlenecks, all while ensuring data security and confidentiality.",
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        "full_name": "Sanskar Jain",
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        "founder_bio": "Sanskar is the Co-founder & CEO of Entvin, previously led Growth & Strategy at andMe (A D2C brand, acquired by GlobalBees). He was also an Analyst with A&M's Strategy and CDD practice in India. \nHe has done Mechanical Engineering from IIT Bombay. He is passionate about innovations in Technology, Ecommerce, and Electric Vehicles. ",
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        "user_id": 1001794,
        "full_name": "Hemant Phalak",
        "title": "Founder",
        "founder_bio": "Hemant is the Co-founder & CPO of Entvin, previously he was founding team member at cross-border fintech Zolve. He was also an Associate at Pricewaterhousecoopers, India in the technology consulting practice. He has a B.Tech in Material sciences from IIT Bombay. His motto - 'Build what matters'",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/hemantphalak/",
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    "id": 27168,
    "name": "Relevium Medical",
    "slug": "relevium-medical",
    "former_names": [
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      "ReleviumBio"
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    "website": "https://relevium-medical.com/",
    "all_locations": "Galway, County Galway, Ireland",
    "long_description": "Relevium Medical is developing an injectable gel for knee osteoarthritis. Approximately half the population will be diagnosed with this pain and progressive disease.\r\nRight now, patients have to undergo not only repeat injections to control their pain, but also have to take strong oral medications. Because the disease is progressive and only gets worse over time, many patients end up on highly addictive, high-dose opioids. \r\nTo date, we have secured $3.7 million in non dilutive funding and completed preclinical testing. We demonstrated that our drug is safe, selectively blocks nerves that transmit pain, and provides pain relief that lasts four times as long. \r\nInsurance currently pays $770 per six-monthly treatment for knee osteoarthritis. With 5 million patients in the US, this represents a $7.7 Bn market opportunity.\r\nThis platform biotherapeutic can also be used to treat other joints affects by osteoarthritis such as the hip and ankle, where the same problems exist in treatment care. ",
    "one_liner": "Platform injectable gel based therapeutic for osteoarthritis",
    "team_size": 5,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Therapeutics",
    "launched_at": 1653661401,
    "tags": [
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      "Drug discovery"
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    "year_founded": 2019,
    "city": "Galway",
    "country": "IE",
    "linkedin_url": "https://www.linkedin.com/company/releviummedical/",
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        "user_id": 896081,
        "full_name": "Alison Liddy",
        "title": "Founder",
        "founder_bio": "Alison is CEO and Founder at Relevium Medical.  Alison holds qualifications in Chemistry and Biochemical Engineering (M.Sc. & Ph.D.). She has worked for major multinational companies including ROCHE, Cook Medical and Boston Scientific; and completed the BioInnovate Fellowship in the prestigious Stanford BioDesign-affiliated program at NUI Galway, Ireland. She is the named inventor on over 20 patent publications and the winner of the Science Foundation of Ireland’s €1 million innovation prize.",
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    "news": [
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        "title": "Galway’s Relevium Medical gets €4.6m funding for knee osteoarthritis treatment | Business Post",
        "url": "https://www.businesspost.ie/news/galways-relevium-medical-gets-e4-6m-funding-for-knee-osteoarthritis-treatment/",
        "date": "Dec 11, 2024"
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      {
        "id": 65532,
        "title": "🚀🚀 Relevium Medical",
        "tagline": "Advancing Long-Lasting Solutions for Chronic Pain",
        "body": "**The problem:** The chronic pain condition Knee osteoarthritis (OA) affects over 250 million people globally, creating significant social and healthcare challenges, with **untreated pain being the #1 patient complaint**.  In the absence of effective long-term injectable treatments, millions of patients rely on damaging oral medications. \n\nCapsaicin, offers long-lasting, selective pain relief for chronic pain via molecular ablation of pain-sensing nerves only. Despite FDA approval and proven safety and efficacy, its adoption is limited by **intense burning pain** post-administration, requiring over **1.5 hours of clinic management and making it intolerable for many patients**. This has restricted the use of an otherwise highly effective treatment for chronic pain.\n\n**Our solution:** RM-010 was specifically developed to address the burning pain associated with Capsaicin. Relevium Medical has engineered an innovative drug delivery system that gradually releases Capsaicin into the knee joint, carefully maintaining concentrations **below the threshold that triggers burning pain** while sustaining levels high enough to achieve full nerve ablation. This breakthrough offers patients a highly tolerable, effective, and safe treatment, delivering long-lasting pain relief with a significantly improved experience. RM-010 is designed for seamless integration into clinical workflows, allowing physicians to administer the therapy in **5 minutes**. It provides a practical, patient-friendly solution for effectively managing knee osteoarthritis pain, setting a new standard in treatment care.\n\n![uploaded image](/media/?type=post&id=65532&key=user_uploads/896081/10efad73-299c-4cd5-9c87-0a4e0f19f1bb)\n\n**Who are are:**  Relevium Medical, headquartered in Galway, Ireland, is a pioneering pharmaceutical company driven by a passionate team of chemists, neuroscientists, pharmacists, and industry experts. United by a shared mission, the team is dedicated to developing novel solutions to improve the lives of people living with chronic pain.\n\n**Interested in hearing more**: Get in contact at [info@Relevium-Medical.com](mailto:info@Relevium-Medical.com)",
        "url": "https://www.ycombinator.com/launches/H2y-relevium-medical",
        "votes": 18,
        "created_at": "2022-08-22T13:44:28.458Z"
      },
      {
        "id": 64408,
        "title": "ReleviumBio - Life changing Innovation",
        "tagline": "ReleviumBio is developing a platform peptide gel-based therapy for Osteoarthritis",
        "body": "![uploaded image](/media/?type=post&id=64408&key=user_uploads/854295/770094dd-9ea7-4b87-96db-dfa446ca3b6e)\n\n[www.ReleviumBio.com](http://www.ReleviumBio.com)\n\n**Problem** \\\nThere has been no disruptive treatment for knee osteoarthritis (KOA) in over 50 years, with 80% of patients reliant on damaging medications. The shortcomings of the current injectable treatments leave 2 million US patients reliant on opioids for adequate pain relief. The number one KOA patient complaint is pain, with regenerative therapies to date failing to demonstrate a measurable patient outcome.\n\n**Solution** \\\nUp to recently, it was believed KOA was a disease of wear and tear. The latest scientific evidence however shows it to be a complex whole-organ disease, affecting multiple tissues and with different disease patterns for different patients. This evidence highlights the need for a multimodal approach to effectively treat this complex disease. PeptiFlex is the first multimodal injectable therapeutic developed for KOA that gives not only pain relief but also lubricates and preserves the joint.\n\n**How it works** \\\nOur novel multimodal therapeutic is based on a peptide component (315y) covalently bound to a polymer gel base. This patent-protected biotherapeutic achieves its effects through three complementary and synergistic effects. The biotherapeutic is injected directly into the knee joint to give immediate long-acting relief.\n\n**Pain Relief Effect**: PeptiFlex reduces pain nerve signalling by the action of peptide 315y which safely and consistently reduces pain signalling by a sodium channel block effect on neurons in the knee nerve fibres. Preclinical test data out to 7 weeks in a dedicated KOA model has shown successful translation of efficacy and safety with statistically significant effects on key pain endpoints.\n\n**Lubrication Effect**: The polymer base of PeptiFlex has unique viscoelastic properties acting as a substitute for healthy joint fluid and providing lubrication, cushioning, shock absorption, and improving the physical function of the joint.\n\n**Protection Effect**: PeptiFlex has proven to be extremely safe and protects joint structure by cartilage protecting actions of peptide 315y. The peptide interacts with cartilage-producing cells (chondrocytes) to cause proliferation and increased cartilage production. Tests have shown KOA joints treated with PeptiFlex were evaluated using the gold standard OARSI cartilage scoring system and showed improvement in terms of aggression and extent of disease compared to control.\n\n**The ask** \\\nIf you know any strategics interested in osteoarthritis or clinical trial groups interested in partnering with early-stage companies, we would really appreciate an introduction",
        "url": "https://www.ycombinator.com/launches/Gkq-releviumbio-life-changing-innovation",
        "votes": 12,
        "created_at": "2022-07-07T14:00:52.112Z"
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    "id": 27176,
    "name": "Slingshot",
    "slug": "slingshot",
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    "website": "https://slingshotml.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Slingshot is AI  that analyzes medical records to determine if the diagnosis is supported by the clinical evidence.\r\n\r\nThe company is founded by Pranov Duggasani, a former Google and Microsoft AI engineer, and Zoe Holderness, a former Lyft and Tesla engineer. They started working on Slingshot after facing their own frustrations with inflated and erroneous medical bills with the goal to save patients more money with less work.\r\n",
    "one_liner": "Analyze medical records in seconds",
    "team_size": 4,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1657062978,
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Acquired",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/slingshot",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/slingshot.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/82299888",
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      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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        "full_name": "Zoe Holderness",
        "title": "Founder",
        "founder_bio": "CTO of Slingshot",
        "is_active": true,
        "linkedin_url": "http://linkedin.com/in/zoe-holderness-387b53126",
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      {
        "id": 64434,
        "title": "Slingshot: Automating reducing people's medical bills",
        "tagline": "Saving patients 50% on average on their medical bills",
        "body": "Hi! We’re Zoe and Pranov, co-founders of Slingshot, software to reduce people’s medical bills.\n\n**The Problem:**\\\nHealthcare in the US is complicated, confusing, and above all too expensive. [50% of Americans now carry medical debt](https://www.forbes.com/sites/debgordon/2021/10/13/50-of-americans-now-carry-medical-debt-a-new-chronic-condition-for-millions/?sh=1b2bac585e5d), and [estimated 80% of hospital bills](https://www.lblgroup.com/how-common-are-medical-billing-errors/#:\\~:text=Upwards%20of%2080%25%20of%20Medical,very%20good%20about%20never%20undercharging.) have errors. \\\n\\\n**What Slingshot Does**\n\nWhen a patient gets a medical bill they upload it to our website, and Slingshot analyzes the bills to find the errors, the up-codes, the items insurance should have covered but didn’t, and the items that can be negotiated to a lower cost. Slingshot handles all the time consuming interactions with hospitals and insurance companies to fix errors and negotiate costs. We take a small percentage of the savings we get customers, and save customers 50% per bill on average. \\\n\\\n**The Backstory of How We Started**\\\nWhen I (Zoe) got a $1400 bill for a gynecologist appointment I was shocked and angry. I trusted my doctor, but was confused why I was being billed over a month's worth of rent for something I thought would be free. 4 weeks later, I had researched, filed claims, audited medical codes, and negotiated to reduce my bill. The whole process though was exhausting.\\\n\\\nMaybe your story involves [pregnancy complications](https://www.npr.org/sections/health-shots/2021/12/21/1065572001/a-hospital-asked-these-parents-to-pay-45-843-a-month-for-their-babys-nicu-stay), or maybe it involves a [planned checkup](https://www.npr.org/sections/health-shots/2022/05/31/1101861735/colonoscopy-cost-cancer-screening), whatever the case if it occurred at a hospital it likely involves an inflated bill. And that bill can likely be reduced in cost.\\\n\\\n**Our Ask**\\\nIf you or someone you know has an expensive medical bill, sign up on our website <https://slingshotbills.com>. We would love to help you reduce that cost.\\\nIf you are or know a doctor, nurse, or patient advocate and who would refer patients to us who are in need of assistance. Please send us an email at [founders@slingshotbills.com](mailto:founders@slingshotbills.com) and we can give you information to pass along.",
        "url": "https://www.ycombinator.com/launches/GlG-slingshot-automating-reducing-people-s-medical-bills",
        "votes": 24,
        "created_at": "2022-07-07T18:21:05.981Z"
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    "id": 27185,
    "name": "Knowtex",
    "slug": "knowtex",
    "former_names": [
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      "Puzzle 1:1",
      "Puzzle"
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    "website": "http://www.knowtex.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We’re on a mission to leverage AI and voice technology to solve inefficiencies and revenue leakage in our healthcare system. With the rise of EHRs, the manual documentation burden on doctors has never been higher, leading to burnout and fatigue and high attrition rates. Assigning the correct diagnosis and billing codes is crucial for proper reimbursement and patient care, but medical coding is becoming more and more complex each year with growing numbers of codes (over 145,000 now), and doctors are unsupported by current technology to keep up with its ever increasing requirements. $125 billion is left on the table each year by healthcare organizations due to improper documentation and coding. \r\n\r\nKnowtex creates visit notes with up-to-date and accurate reimbursement codes from doctor-patient conversations, allowing the doctor to focus on patient care and preventing revenue leakage for hospital systems through standardized, transparent, and accurate documentation. ",
    "one_liner": "Making doctors 2x more efficient with AI note-taking & charge capture",
    "team_size": null,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1658257873,
    "tags": [
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      "B2B",
      "Productivity",
      "Digital Health",
      "AI"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/knowtex",
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/knowtexai",
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    "founders": [
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        "user_id": 432956,
        "full_name": "Caroline Zhang",
        "title": "Founder",
        "founder_bio": "Caroline is the CEO of Knowtex. Before Knowtex, she worked in biomedical research at the Salk Institute of Biological Studies, investment banking at Morgan Stanley, and AI research and policy initiatives at Schmidt Futures. Caroline graduated from Stanford University with her master’s degree in Computer Science (concentration in AI), and an undergraduate degree in Economics with a minor in International Relations.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/czhang21/",
        "x_url": "https://twitter.com/CarolineCZhang",
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      {
        "user_id": 556751,
        "full_name": "Jocelyn Kang",
        "title": "Founder",
        "founder_bio": "Jocelyn is the CTO of Knowtex. Before Knowtex, she worked at several startups in a variety of positions ranging from product manager to product designer to software engineer. She was a founding member of the product team at Learn to Win and has worked on AI/ML teams. Jocelyn graduated Phi Beta Kappa and Summa Cum Laude from Stanford University while pursuing an interdisciplinary degree in CS + Linguistics/Psychology, and a minor in Philosophy.",
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      {
        "id": 117578,
        "title": "Technical Product Manager",
        "url": "https://www.ycombinator.com/companies/knowtex/jobs/DZEAO6F-technical-product-manager",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 117579,
        "title": "ML Engineer, LLM's",
        "url": "https://www.ycombinator.com/companies/knowtex/jobs/X6FqYCv-ml-engineer-llm-s",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 117580,
        "title": "Integration Engineer",
        "url": "https://www.ycombinator.com/companies/knowtex/jobs/f8281Z9-integration-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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    ],
    "news": [
      {
        "title": "VA chooses finalists in health care worker burnout",
        "url": "https://news.va.gov/press-room/va-artificial-intelligence-tech-sprint-competition-finalists/",
        "date": "Mar 13, 2024"
      },
      {
        "title": "Knowtex and 4D EMR Announce Groundbreaking Partnership to Revolutionize Clinical Workflow with Specialty-Specific Voice and Generative AI EMR System",
        "url": "https://www.prweb.com/releases/knowtex-and-4d-emr-announce-groundbreaking-partnership-to-revolutionize-clinical-workflow-with-specialty-specific-voice-and-generative-ai-emr-system-302028004.html",
        "date": "Jan 08, 2024"
      },
      {
        "title": "INTEGRATED ONCOLOGY NETWORK AND KNOWTEX ANNOUNCE STRATEGIC PARTNERSHIP TO DEPLOY GENERATIVE AI TECHNOLOGY",
        "url": "https://www.prnewswire.com/news-releases/integrated-oncology-network-and-knowtex-announce-strategic-partnership-to-deploy-generative-ai-technology-301960648.html",
        "date": "Oct 18, 2023"
      },
      {
        "title": "AWS announces 21 startups selected for the AWS generative AI accelerator | AWS Startups Blog",
        "url": "https://aws.amazon.com/blogs/startups/aws-announces-21-startups-selected-for-the-aws-generative-ai-accelerator/",
        "date": "May 24, 2023"
      },
      {
        "title": "Summarizing conversations between doctors and patients with AI  (Nikkei xTECH) ",
        "url": "https://xtech.nikkei.com/atcl/nxt/column/18/00001/07725/?ST=ch_digitalhealth",
        "date": "Feb 20, 2023"
      }
    ],
    "launches": [
      {
        "id": 89160,
        "title": "Knowtex: Transparent, Explainable AI for Smarter Healthcare",
        "tagline": "Model Evaluation Platform for AI transparency, traceability, and reliability in clinical workflows.",
        "body": "[Knowtex](http://www.knowtex.ai/) is a voice AI platform built to empower healthcare organizations, turning real-time doctor-patient conversations into accurate clinical notes, ICD-10 and E&M codes tailored by medical specialty, including an admin dashboard for operations to save hours on admin work and billing.\n\n**Bringing Visibility to AI in Medicine**\n\nAI has the power to transform healthcare, but [black box decision-making](https://www.ama-assn.org/practice-management/digital/succeed-health-care-ai-get-rid-black-box) has no place in patient care. Knowtex is changing the game by making AI measurable and explainable, ensuring clinicians and healthcare systems can understand and trust every AI-driven recommendation.\n\n**What This Means for Healthcare Teams**\n\nWith the Model Evaluation Platform, Knowtex can now:\n\n* Evaluate AI performance in real-world clinical workflows for accuracy and reliability\n* Enhance traceability by surfacing insights into model predictions and decisions\n* Strengthen accountability with structured benchmarking and continuous monitoring\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcWhj4wXNN6O4XKxH85tksdXx469QoqDrlorbk5r4Z_uuiwI_hTMzeAX4a4yfyikYpLGKwm4gel84baxTcEa6kILyK4y_nxq7MMnOFMmvAr7FmocYgGxsTPRuATxto9XWZU8fwnyg?key=S8aaCf-5dF0d1mRQ7mAPtwJR)\n\n**Trust, But Verify**\n\nInnovation in AI isn’t about chasing what’s new—it’s about measurable progress. Knowtex doesn’t just release updates; we test them against real-world clinical benchmarks to ensure every iteration is an improvement. Our benchmarking gauntlet allows us to pit the latest-and-greatest against our tried-and-true models, ensuring that Knowtex isn’t just keeping up—we’re leading the charge in rapid iteration and continuous improvement.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXetEQTUDcqPf954aHWHsmolvU5-QBqtMAEvsuA4RTcKUTNuaJ1M6-HPANSPkJuQR3d1PNvWqAVobaz0DLVgy--L3Qr7tgWx6EUT8Htdvlal64jbWI7LB-4ioma4clTtiQzdITqO9g?key=S8aaCf-5dF0d1mRQ7mAPtwJR)\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXesQhl_ORLRLMQn1ZAzQKnmHVyziix2px5YivuMSAO74X8TJ61Nh537JeDS8om07m4mGoIdVoIdpyF5fR8yN8km71y19eY-SFN2Z3Oaq21ARKZ0hWHnAZOcMRkQJie9fZGlBbr0Qg?key=S8aaCf-5dF0d1mRQ7mAPtwJR)\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXek2LkdtRHW22jTpy-JAtYsJeW-ZKkNhrayHjn4EqHnfKOJQww_o46SrsRLbNilTYPyz60OmZd8XLz4byR-8i0KdOMBHimNH5EoPuYEg_AxlNFWOFyy1jSM28t2pMkKC8IlTHwvVw?key=S8aaCf-5dF0d1mRQ7mAPtwJR)\n\nKnowtex’s benchmarks are built on insights from providers across multiple disciplines and focus on areas that matter most to them, such as:\n\n* **Style** – How well does the AI-generated note match the clinician’s voice? Over time, the model learns and adapts to improve precision.\n* **Note Length** – Does the AI capture the necessary details while avoiding unnecessary verbosity?\n* **Summarization Faithfulness** – How accurately does the summarized note convey the entirety of the clinical encounter?\n* **Structure** – Does the AI-generated note align with the expected template and clinical formatting?\n\nAt Knowtex, **AI isn’t just a tool—it’s a trusted partner in patient care.** Accuracy, clarity, and alignment with clinician needs are non-negotiable.\\\n\\\nThank you to Muhammad Khalifa and Nicholas Talbot for leading this project.\n\nStay tuned as we continue pushing the boundaries of explainable AI in healthcare!\n\nSimply head to [app-knowtex.com](http://app-knowtex.com) to create your account, and you’ll have full access to our voice AI documentation and coding solution supported by this Model Evaluation Platform. We’d love to hear your feedback, feature requests, and any suggestions you have at [demo@knowtex.ai.](mailto:demo@knowtex.ai)\n\nGet Started for Free → [app-knowtex.com](http://app-knowtex.com)",
        "url": "https://www.ycombinator.com/launches/NC4-knowtex-transparent-explainable-ai-for-smarter-healthcare",
        "votes": 32,
        "created_at": "2025-04-01T15:54:35.840Z"
      },
      {
        "id": 85532,
        "title": "Knowtex: Ambient Billing for Clinicians 🗣️💸",
        "tagline": "Personalized intelligent ambient documentation and billing solution for clinicians.",
        "body": "**Introducing Ambient Billing at Knowtex**\n\nAt Knowtex, we’re excited to launch a new way to capture every billing opportunity with zero added effort. Knowtex is built to empower healthcare clinics and systems, turning real-time doctor-patient conversations into accurate ICD-10, CPT, and HCC codes. Our ambient, AI-driven billing solution helps clinicians avoid leaving revenue on the table—all while keeping them focused on patient care, not paperwork.\n\nMedical coding is complex, and the rules and codes are constantly changing. Missed or inaccurate coding can dramatically impact a health system’s bottom line. That’s where Knowtex comes in. **Knowtex is a clinician’s partner in revenue:** capturing the full range of codes a visit is eligible for and keeping your documentation up-to-date with the latest standards. The result is an optimized, accurate billing workflow that catches every code, every time.\n\n**Unlike other solutions that simply analyze documentation to generate codes, we’ve spent the last two years developing Knowtex into a deeply integrated, personalized coding model based on the visit conversation that is tailored to clinicians and organizations. We create custom models trained on each clinic’s historic coding data so Knowtex tailors its suggestions to the unique needs of every clinician. This level of personalization allows Knowtex not only to generate accurate codes but also to prescriptively suggest coding updates that are finely tuned to the specific workflows and nuances of the practice.** \n\nKnowtex is a truly adaptive partner in coding at the point of care. It captures information correctly upfront and continuously improves and aligns with each clinic’s standards for maximized revenue and streamlined workflows.\n\n## Customer Results\n\nOne health system integrated Knowtex and observed significant improvement in revenue retention. With Knowtex identifying and correcting undercoded visits, they successfully capture approximately **$92,800 per month** in previously lost revenue.\n\nOne of our oncology practices with 50+ providers saw substantial improvement in billing outcomes with Knowtex. Before implementing Knowtex, their daily billing average was $7,101.60. Following integration, the mean daily billing rose to $7,893.70, an increase of almost **$800/provider/day**.\n\n## Features\n\n**🩺 Streamlined intelligent Code Selection**\n\nOur interface is designed for simplicity and speed and makes it easy for clinicians to confirm suggested codes instantly. As a clinician speaks with a patient, Knowtex listens, prompting relevant codes based on the conversation. For E&M codes, it analyzes encounter elements like time, medical decision-making complexity, risk, and data, guiding clinicians to the correct documentation with zero interruptions.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcd1urRt3iovIjG_hdQrkbwJ0U0xMAQcrWNBMJvXj06EkCgVa7VeHot38yjpzGpMDDBPR0lRG_9jLd5bd2tIp2dB-GRbjIs8t723zatJ3OfZ3R8oPR2QKz7NPr7Jh59qYpFC11K?key=PrSNha-uknkZVns6FaLUE8yc)\n\nIn addition to live prompting, Knowtex provides targeted suggestions to help clinicians optimize coding accuracy. When assessing complexity, risk, or data documentation, Knowtex offers text snippets to update E&M codes based on the conversation info and historic data. These snippets guide providers by suggesting personalized updates that increase documentation complexity where applicable.\n\nFor example, with MDM:\n\n\\- Complexity: Knowtex can prompt providers to consider documenting any updates on the patient’s status under treatment with a pre-created snippet like “Patient is improving on current chemotherapy treatment but not yet at goal.”\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcB9XivMlmiJrkMbi5KzqYfO-Lpw7SwG7zRg_xyeF8bzfkchHb1PmC2GLx7I3smiTrzp-jAdSVUO-AG9c4haq4U_iKAHBESxngh4YyXel7RnFHHk_l9k-_ACkd-i8RpvCIvjJqOow?key=PrSNha-uknkZVns6FaLUE8yc)\n\n\\- Risk: Knowtex may suggest inserting the text snippet, “reviewed liver function tests and discussed present chemotherapy effects with the patient,” to increase the documented level of decision-making complexity.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeXpD_K-hlG10Z0vGGn19NSs-AZsiDcePhUU0X70VZm0z8pwM2J7BovTaTPqum80I2l549WFgkPMTw8SO4z0XoogcljVNKSkbWNaXxA7VqsUfwin2gDF0jvxM-N0BkZB9JRLqalHw?key=PrSNha-uknkZVns6FaLUE8yc)\n\n\\- Data: If the clinician reviewed imaging during the conversation, Knowtex will identify this and suggest a clearer way of documenting it: “CT images were **personally reviewed and interpreted**.”\n\nThese real-time, customized tips help clinicians capture all relevant information to substantiate the appropriate billing codes.\\\n\\\n**🔍 Accurate & Personalized Diagnosis Capture and Search**\n\nImagine a clinician is treating anemia. Most physicians would code the patient with D50.9 (Iron deficiency anemia, unspecified). While this can be accepted by insurance and reimbursed, there can be more precise codes that would be a better choice based on the patient’s symptomatology and history. \n\nKnowtex can capture and synthesize conversation and EHR data in real time as the clinician talks through symptoms and treatment with the patient to suggest precise ICD-10 codes like D63.1 (Anemia in chronic kidney disease). \n\nWe also provide intelligent search functionality for clinicians that surfaces the best and most detailed ICD-10 code based on the conversation detail and EHR information.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdYFAYWrvmJgndLiffAJCyQFPnu7fMM796mKPIZQKlQWSrlLdAD3Xoco727I2aEvOA82tfjAHm8-NwP-QKH9Ja9DjI0BSTH6xGxJCd6IoFsCnt-BzBsxaEfwAbxkEgFjEHBhhKn?key=PrSNha-uknkZVns6FaLUE8yc)\n\nKnowtex makes sure every detail is captured without breaking focus for clinicians, especially in complex specialties like hematology and oncology. It’s a seamless experience that helps practices keep up with fast-evolving coding standards and prevent revenue leakage.\n\n**📊 Complimentary Financial Gap Analysis**\n\n**We’re offering a free financial gap analysis to the first 10 new clinicians/organizations that sign up.** Knowtex will deeply analyze your last 3 months of billing data and pinpoint specific opportunities where Knowtex can capture missed revenue through optimized documentation and code selection. \n\nUsers will also get **free** **full** access to our state of the art, customizable, ambient scribing solution for those three months. \n\nContact [sales@knowtex.ai](mailto:sales@knowtex.ai) to learn more.\n\nThank you to our engineers Muhammad Khalifa, Andrea Green, and Azeem Ghumman for their work pioneering ambient billing at Knowtex.",
        "url": "https://www.ycombinator.com/launches/MFY-knowtex-ambient-billing-for-clinicians",
        "votes": 40,
        "created_at": "2024-11-13T16:48:55.533Z"
      },
      {
        "id": 65893,
        "title": "Knowtex: Creating Visit Notes from Doctor-Patient Conversations",
        "tagline": "Making doctors 2x more efficient with automating note-taking & charge capture",
        "body": "👋 We’re [Jocelyn](https://www.linkedin.com/in/jocelynkang/) and [Caroline](https://www.linkedin.com/in/czhang21/), the co-founders of [Knowtex](https://www.knowtex.ai/)!\n\n**tldr;** Knowtex automatically creates visit notes with billing codes from doctor-patient conversations. We built our ML solution in under two months and are working with healthcare organizations to save doctors time and prevent revenue leakage from improper documentation and coding. Our ask is for help connecting with private clinics (with 8+ doctors) in any specialty, digital healthcare companies with providers, and PE firms with medical roll-ups.\n\n### **The Problem:**\n\nDoctors are spending more time on taking notes than seeing patients, and aren’t taught how to code their notes optimally for proper reimbursement. This leads to physician burnout and revenue leakage for healthcare organizations (up to $125 billion a year in the US).\n\n### **Our Solution:**\n\nKnowtex creates visit notes with the proper codes for reimbursement automatically from doctor-patient conversation.\n\n![uploaded image](/media/?type=post&id=65893&key=user_uploads/556751/cbde38bb-69a5-49a9-b723-fc0b8bf65864)\n\n(The automatically generated note output from a conversation Caroline had in real-time with a cardiologist!)\n\n**Wait, doctors code?**\n\nWe’re not talking about software coding, but medical coding, which means assigning the right diagnostic (ICD-10) and procedural codes (CPT) to a note to allow a claim to be created and submitted to insurers for appropriate payment. Correct coding is also critical for demographic assessments and studies of disease prevalence, treatment outcomes and accountability-based reimbursement systems.\n\nWith Knowtex, we can cut the time doctors currently spend on admin work in half, and allow them to focus on what they love: patient care.\n\n### **Our Team**\n\nWe met day one of Stanford freshmen year. Caroline received her master's degree in Computer Science concentrating in AI and an undergraduate degree in Economics (in just 4 years!). Jocelyn received an interdisciplinary degree in CS specializing in Linguistics and has worked at startups in a variety of positions including leading AI/ML teams.\n\nAfter graduating during the COVID-19 pandemic, we wanted to apply our technical skills to build solutions for our healthcare system. We heard about the problem of physician burnout from medical documentation, and **became medical scribes ourselves to experience it firsthand. We’re the only medical scribes in the world with AI/ML backgrounds,** making us uniquely positioned to build this solution for doctors.\n\n### **Our Ask**\n\nWe’re looking to partner with\n\n* private clinics that have 8+ doctors in any specialty\n* digital health companies that offer healthcare provider services (ex. hybrid and virtual care, telemedicine platforms)\n* private equity companies with medical roll-ups\n\nHere’s a quick blurb you can send them about us:\n\n_Knowtex reduces physician documentation burden and increases coding efficiency and accuracy by automatically creating visit notes with billing codes from doctor-patient conversations. Our software captures natural conversation, identifies relevant medical information, and generates a pre-filled, structured note with ICD-10 and CPT codes for physician sign-off._\n\n_Founders Caroline and Jocelyn are Stanford CS grads who specialized in AI and previously worked as medical scribes. We're looking to speak to healthcare organizations to understand more about their doctors’ documentation workflows and coding requirements, and explore partnership opportunities with our product. You can reach us at_ [_founders@knowtex.ai_](mailto:founders@knowtex.ai)_._\n\nThank you!\n\n\\- Jocelyn and Caroline\n\n![uploaded image](/media/?type=post&id=65893&key=user_uploads/556751/d7306386-438d-4c47-ba29-4b230bbc3c29)\n\n",
        "url": "https://www.ycombinator.com/launches/H8n-knowtex-creating-visit-notes-from-doctor-patient-conversations",
        "votes": 215,
        "created_at": "2022-09-07T07:02:20.821Z"
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    "name": "Lavo Life Sciences",
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        "founder_bio": "Software Engineer @ DoorDash, former co-founder of Lavo Life Sciences",
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        "full_name": "Zach Glick",
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        "full_name": "Derek Metcalf",
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        "linkedin_url": "https://www.linkedin.com/in/derekmetcalf",
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      {
        "id": 69547,
        "title": "⚛️ Lavo Life Sciences - Computer simulations of drug molecules",
        "tagline": "We use AI to de-risk drug development and save time in the lab",
        "body": "### **TL;DR**\n\nLavo Life Sciences runs simulations of drug molecules on computers. Pharma companies use our simulations to guide their experiments, saving hundreds of millions of dollars and years of time in the lab. This will de-risk clinical trials and expedite FDA approval.\n\n![uploaded image](/media/?type=post&id=69547&key=user_uploads/148651/80bc9d1a-e8b4-41cc-8ca1-5deed312ecbc)\n\nThis is what a pill looks like at the molecular level. Drug molecules pack into repeating patterns–or “crystal structures”–which control the drug’s stability. This particular drug (Ritonavir) was recalled when the developers chose an unstable crystal structure. This recall could have been avoided with effective simulation.\n\n### **🤔 The Problem**\n\nLavo’s simulation software predicts the crystal structure of drug molecules. The crystal structure refers to the three-dimensional pattern in which individual molecules pack to form a solid. Choosing the best crystal structure before clinical trials maximizes the efficacy, shelf-stability, and safety of the drug. Failure to accurately determine the crystal structure can lead to problems in manufacturing, legal protection of the drug patent, and success in clinical trials.\n\nFrom conversations with pharma companies, we’ve learned that they want more of these predictions, but existing vendors are too slow and expensive–think hundreds of thousands of computer hours for a single molecule. This is a limitation of their methodology and is also our key differentiator.\n\nThis market is large and growing. 15,000 relevant drugs enter R&D each year, and pharma companies spend over $100M on crystal structure predictions annually. Also, we have learned that pharma companies need predictions on larger drugs than are currently possible with today's methods, so we have an opportunity to expand the market with more efficient products.\n\n### **🔨 Why now, why us?**\n\nWe are uniquely positioned to solve this problem – Zach and Derek have PhDs in computational chemistry and Scott is a former Google Cloud PM. We are prepared to tackle this scientific challenge at an industrial scale.\n\n### **💡 Our Solution**\n\nWe started working on this problem 4 months ago and our simulations are already 10x faster than current methods\n\nWe use AI and quantum chemistry algorithms to improve every step of the crystal structure prediction workflow:\n\n* We use custom algorithms to quickly get an understanding of the landscape of possible crystals.\n* We use AI to accurately rank crystal structures 100x faster than traditional techniques\n* We scale our software on the cloud to achieve rapid turnaround times.\n\n### **❤️ Our Asks**\n\nWe are interested in meeting people in the pharma industry. Please email [founders@lavo.ai](mailto:founders@lavo.ai) to connect with us!\n\nThanks,\n\nScott, Zach, and Derek",
        "url": "https://www.ycombinator.com/launches/I5j-lavo-life-sciences-computer-simulations-of-drug-molecules",
        "votes": 30,
        "created_at": "2023-02-22T17:14:00.733Z"
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    "name": "Delfino AI",
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    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Delfino AI helps automate the repetitive phone calls that providers' offices make to payors",
    "one_liner": "Generative AI for administrative automation in healthcare ",
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    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
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      {
        "user_id": 513088,
        "full_name": "Sneh Patel",
        "title": "Founder",
        "founder_bio": "Sneh has a Doctorate in Pharmacy and MBA from Harvard.  She previously worked at McKinsey and an NEA-backed startup. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/snehpatel1/",
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      {
        "user_id": 679130,
        "full_name": "Kimberly McManus",
        "title": "Founder",
        "founder_bio": "Kimberly’s expertise in consumer health comes from leading a data science team at 23andMe. She has a Bachelor’s degree from MIT, and a Master’s degree in Biomedical Informatics and a Ph.D. in Biology from Stanford University. She’s published over ten papers in genomics, healthcare and machine learning and holds one patent, with three patents pending.",
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        "id": 60809,
        "title": "Healthcare Operations Associate - Part Time ",
        "url": "https://www.ycombinator.com/companies/delfino-ai/jobs/2HyErWK-healthcare-operations-associate-part-time",
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      {
        "id": 64318,
        "title": "Be Golden helps measure and manage inflammation levels.",
        "tagline": "Learn more and pre-order here: https://www.begolden.online/ ",
        "body": "### **THE PROBLEM**\n\n\\>50% of American adults have high inflammation levels.  Chronic inflammation may lead to many negative outcomes including:\n\n* **Chronic disease (e.g., cancer, heart disease, Alzheimer’s)**\n* **Fatigue**\n* **Symptoms of IBS, migraine and pain (fibromyalgia and myofascial pain)**  \n* **Negative impact on IVF and IUI success**\n\n \n\n### **THE SOLUTION/HOW IT WORKS**\n\nBe Golden helps you measure and manage your inflammation levels using an at home finger prick based blood testing kit and a digital platform.  How it works:\n\n1. MEASURE your baseline inflammation levels; Receive your results and how they compare to other people like you\n2. TRY A NEW HABIT from our list of personalized options from the scientific literature (or something else) and track how often you complete it\n3. RE-MEASURE every 1-2 months and receive analytics on changes to your habits and inflammation scores\n\n**THE ASK**\n\nIf you or anyone you know has health goals related to the below, please sign up to learn more here: <https://www.begolden.online/>\n\n* Help **prevent** **disease** (e.g., cancer, heart disease, Alzheimer’s)\n* **Feel good** \n* Help reduce the frequency of **migraine** symptoms\n* Help prevent **irritable bowel syndrome (IBS)** symptoms \n* Help take control of your **fertility**\n\n \n\nIf you know any of the following experts, we would love a connection:\n\n* chronic inflammation experts that we can speak to about inflammation biomarkers\n* OB/GYNs \n* Gastroenterologists\n\n  ",
        "url": "https://www.ycombinator.com/launches/GjO-be-golden-helps-measure-and-manage-inflammation-levels",
        "votes": 30,
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    "long_description": "At InVision, we use AI to help streamline the interpretation of ultrasounds and identify diseases that may have been missed by human readers. Our models have been tightly integrated into the clinical workflow to allow easy usage by clinicians. Our work has previously been peer-reviewed and published in several top medical venues, including Nature (2020), Nature Medicine (2021), Lancet Digital Health (2021), JAMA Cardiology (2022). Results from our blinded and randomized clinical trial on evaluating cardiac function have also been recently presented as a Late Breaking Clinical Trial at the European Society of Cardiology.",
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        "body": "Hello! We’re Bryan and David, the founders of [InVision](http://invisionmedtech.com/). At InVision, we develop AI tools to quickly and accurately diagnose heart disease. \n\n### **Challenges in Diagnosing Heart Disease**\n\n32 million heart ultrasounds are performed in the United States each year to diagnose heart disease. Acquiring and interpreting ultrasounds is time-consuming, requiring over an hour of physician and technician time for each exam. Additionally, there exists considerable human-to-human variability when interpreting the ultrasounds, resulting in misdiagnosis and underdiagnosis of heart disease. \n\n### **Our Solution**\n\nAt InVision, we use AI to help streamline the interpretation of ultrasounds and identify undiagnosed diseases. Our models have been tightly integrated into the clinical workflow to allow easy usage by clinicians. We’re leading the first and only blinded randomized trial of AI technology in cardiology, and we will be presenting as a [headliner clinical trial](https://twitter.com/David_Ouyang/status/1562834463343935491) at the largest cardiology conference ([European Society of Cardiology](https://www.escardio.org/Congresses-&-Events/ESC-Congress)) meeting tomorrow!\n\n### **About us**\n\nDavid majored in Statistics at Rice University, did his MD at UCSF, and did residency and fellowship training in cardiology at Stanford University. David then worked as an attending cardiologist at Cedars Sinai Medical Center, a leading heart health system which will be the first site of deployment of our technology. Bryan majored in CS at Caltech and did his CS PhD at Stanford. Together, we've worked together on this project for the last 4 years, first as a research project and now as clinical deployment of a viable product.\n\n### **Where We Are**\n\nOur work has previously been peer-reviewed and published in several top medical venues, including Nature (2020), Nature Medicine (2021), Lancet Digital Health (2021), JAMA Cardiology (2022). Results from our blinded and randomized clinical trial on evaluating cardiac function have also been recently presented as a Late Breaking Clinical Trial at the European Society of Cardiology.\n\nWe are currently working on securing FDA clearance for our heart failure model and starting up clinical trials for our model screening for cardiac amyloidosis, hypertrophic cardiomyopathy, and aortic stenosis.\n\n### **How You Can Help**\n\nIf you or anyone you know would be interested in helping out, we’d be grateful for introductions to:\n\n* Companies who have previously gone through the FDA regulatory process\n* Investors interested in medical technology\n* Hospitals and medical device manufacturers that may be interested in our product\n\nWe can be reached at [founders@invisionmedtech.com](mailto:founders@invisionmedtech.com). Thanks!",
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    "long_description": "Your immune system is your body’s best weapon and defense against cancer. It is only when it is overcome that cancer develops into full blown disease. Dendritic cells sit at the helm of the immune system, directing and dictating immune responses. Data has shown dendritic cells are often dysfunctional in cancer patients, and that this dysfunction is a bottleneck for other therapies. \r\n\r\nGuardian Bio’s approach is focused on creating a dendritic cell-based product which drives anti-tumor activity through activating the killers of the immune system AND training them against multiple cancer targets. We take stem cells from cancer patients, turn them into specific therapeutic dendritic cells specially trained against that patient’s tumor, and re-introduce them back into the body. \r\n\r\nOur therapeutic dendritic cells revitalize the killers of the immune system and give them the kickstart they need to fight - and win - against cancer.",
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        "title": "Guardian Bio - Control Immunity with Dendritic Cells",
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        "body": "# tl;dr\n\nYour immune system keeps you healthy. If it loses control, diseases like cancer, chronic infections, and autoimmunity can develop. We created a platform that enables us to produce a master regulator of the immune system (the dendritic cell) from patient stem cells. We program these cells so that they can make corrections to dysfunctional immune systems and bring disease back under control. We’re starting with cancer.\n\n# Team\n\nPrior to starting Guardian Bio, Ananya…\n\n* Was a Blavatnik Fellow at Harvard Business School, a fellowship fostering life science entrepreneurship \n* Worked across Operations, Engineering, and Project Management in the manufacturing and development side of the pharma/biotech industry\n* Received dual Masters in Engineering Sciences and MBA from Havard, where she was a Kaplan Fellow, and graduated with honors from Duke with a degree in Biomedical Engineering\n\nPrior to starting Guardian Bio, Ricky…\n\n* Was a Postdoctoral Fellow at University of Pennsylvania - tumor microenvironment, tumor immunity, and cell therapy\n* Co-Founded the Philadelphia chapter of Nucleate, a free and collaborative trainee-led organization that facilitates the formation of pioneering life sciences companies\n* Earned a PhD in Biomedical Sciences - Immunology at University of Central Florida\n* Worked as a marine biologist and scientific diver at Florida Atlantic University\n* And continues to create science communication content for social media platforms, reaching an audience of over a quarter million followers across TikTok and Instagram\n\n# The Problem\n\nThe overall problem is that the immune system unfortunately can’t always maintain control over disease. Cancer specifically actively suppresses the immune system. It has to. If the immune system maintains control, it will kill the cancer and disease will not develop. \n\nOne of the immune cell types often suppressed by cancer are dendritic cells, which sit at the helm of the immune system. Dendritic cells (DCs) direct and dictate immune responses. DCs are often deficient or dysfunctional in cancer patients, creating severe limitations in the body’s ability to fight off cancer, even when treatments like chemo and immunotherapy are applied.\n\n# The Solution\n\nWe take stem cells from cancer patients, turn them into dendritic cells, program them against that patient’s tumor, and re-introduce them back into the body. This stimulates a diverse yet targeted and robust immune response against the cancer. \n\n# The Platform\n\nOur dendritic cell-based platform can be adapted to a variety of diseases. When we train DCs against different targets, our therapy can reignite immune responses against chronic infectious diseases or suppress immune cells triggering autoimmunity.\n\nOur dendritic cell-based therapy is synergistic with many other immunotherapies including checkpoint inhibitors, peptide and mRNA-based cancer vaccines, oncolytic viruses, etc, potentially extending the reach of these therapies to patients who would not have responded before.\n\n![](https://lh3.googleusercontent.com/Fog7y2f3-PsbDww_4qw_LbLzzzM_3yXUEMVPMps50vCfN5dnHauQFTn72dLW2hd1RjKghsjpl8HwpSrJ_zMOe-QneWuKm_BLkumbU-01HqsRlLddaJ8713teujTfrYSRd0y9lsxxqffoBgvUwzGsXg)\n\n",
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        "title": "Miracle - Speeding up clinical trials 💊",
        "tagline": "Speeding up clinical trials by connecting patient recruitment sources",
        "body": "**TL;DR** Miracle helps biotech and pharma companies accelerate clinical trials by connecting all patient recruitment data sources. Each day of a clinical trial that Miracle’s software can help shave off is worth on average $2M in additional patent-covered revenue opportunity.\n\nHi everyone! My name is Jin, and I’m the Founder & CEO of Miracle. When I was competing for medals as a former athlete on the USA Archery Team, I used to aim my bow and arrow down at a target 70 meters away. Today, I have my eyes set on improving healthcare by bringing science to life and into hands of patients more quickly.\n\n![uploaded image](/media/?type=post&id=69664&key=user_uploads/985589/5efd5b1c-4740-45b5-88b5-9824dd2ce30b)\n\n### **The Problem**\n\nBiotech and pharmaceutical companies (“sponsors”) must run clinical trials (phase 1-3) in order to get FDA approval to market their drug. The **average cost to bring a new drug to market is >$2B**, and clinical trials can take up **7-10 years** of a 20-year patent window. Over **80% of clinical trials are delayed** from patient recruitment, but vendors and clinics do not play along nor provide the transparency necessary for sponsors to account for ROI and, ultimately, runway.\n\nToday, Clinical Operations teams within biotech companies spend **15% of their time manually compiling information** from multiple vendor portals and creating visualizations to report up to management and the board on the study progress – all of which take valuable time that they could be using to focus on improving the study operations.\n\nHowever, the bigger problem is that without transparent consolidated reporting, **they have no choice but to throw money at vendors and research sites** in hopes of recruiting patients quickly. They have a hard time optimizing the millions of dollars spent each year in a way that would actually expedite their trial.\n\n### **The Solution**\n\nMiracle is a **one-stop shop** for biotech/pharma to fully automate and consolidate their clinical trial reporting needs. We integrate with their vendors and research sites to **eliminate time wasted** on aggregating metrics and compiling reports, **free up their time** to focus on patient recruitment, and make it possible to **optimize ROI on vendors and sites** that are meaningfully speeding up the trial.\n\n### Examples from Miracle\n\n![uploaded image](/media/?type=post&id=69664&key=user_uploads/985589/3de6c2ca-0f94-45de-97d7-a781f5228494)\n\n![uploaded image](/media/?type=post&id=69664&key=user_uploads/985589/03be693f-8201-4534-aee3-050853ee439a)\n\n### Our Ask\n\n* If you’re at a biotech company running a clinical trial, we’d love to chat with you.\n* Any intros to biotech/pharma reps (especially in Clinical Operations) would be greatly appreciated.",
        "url": "https://www.ycombinator.com/launches/I7c-miracle-speeding-up-clinical-trials",
        "votes": 60,
        "created_at": "2023-02-24T21:32:28.618Z"
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    "one_liner": "Empowering every doctor and every patient to participate in research",
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    "subindustry": "Healthcare -> Drug Discovery and Delivery",
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      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "If we succeed, we will dramatically accelerate the pace and reduce the cost-risk profile of drug development. Our loved ones will have better treatment options available when they inevitably need them."
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        "full_name": "Ethan Bond",
        "title": "Founder",
        "founder_bio": "Ethan is the co-founder and CEO of SelectIQ. Prior to SelectIQ, Ethan was a product strategist at Palantir where he led product development into multiple new verticals, most recently helping to build Palantir's nascent life sciences division. Ethan is a product designer and software engineer by training, having *almost* graduated from Rensselaer Polytechnic Institute.",
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        "full_name": "Jason Marmon",
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        "founder_bio": "Jason is the co-founder and CTO of SelectIQ.\n\nPrior to SelectIQ, Jason worked at Palantir on life sciences software and led Palantir's Data Governance product team. Previously, he co-founded Skylight, an NYC real estate app acquired by Common Living. He's also a 2015 Thiel Fellow.",
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    "id": 27700,
    "name": "Latent",
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    "website": "https://latenthealth.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "At Latent, we're building medical language models to tackle the trillions of operational overhead weighing down healthcare. Our flagship product streamlines authorizations for life-saving drugs by analyzing EHR records and surfacing the most relevant data.\r\n\r\nWe've built our product and signed enterprise contracts with some of the largest health systems in the US.",
    "one_liner": "Medical language models to automate healthcare operations",
    "team_size": 50,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1677047143,
    "tags": [
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        "user_id": 282190,
        "full_name": "Rishabh Jain",
        "title": "Founder",
        "founder_bio": "Co-founder at Latent. Repeat founder.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/rj254",
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      {
        "user_id": 860587,
        "full_name": "Sri Somasundaram",
        "title": "Founder",
        "founder_bio": "Co-founder at Latent. At Stanford, Sri investigated molecular binding patterns responsible for adaptive immunity and built deep RL robots with publications at ICML, ICLR, and Nature. He also operationalized language models for the largest financial institutions while on the founding team of Hebbia.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ssomasundaram/",
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      {
        "id": 60167,
        "title": "Senior Software Engineer (Full Stack)",
        "url": "https://www.ycombinator.com/companies/latent/jobs/KqOXaXA-senior-software-engineer-full-stack",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "role_type": "Full stack",
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        "equity_range": "",
        "experience": "6+ years",
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      },
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        "id": 66171,
        "title": "Design Engineer",
        "url": "https://www.ycombinator.com/companies/latent/jobs/5pgY0YE-design-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
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        "title": "This $600 Million AI Startup Is Speeding Up Paperwork So Patients Get Drugs Faster",
        "url": "https://www.forbes.com/sites/rashishrivastava/2026/03/18/this-600-million-ai-startup-is-speeding-up-paperwork-so-patients-get-drugs-faster/",
        "date": "Mar 18, 2026"
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    "id": 27766,
    "name": "Glass Health",
    "slug": "glass-health",
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    "subindustry": "Healthcare -> Healthcare IT",
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        "full_name": "Dereck Paul",
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        "full_name": "William Hart",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder & CTO at Glass Health. Serial entrepreneur (2 x YC). PhD in Physics from Imperial College London.",
        "is_active": true,
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        "id": 64761,
        "title": "Founding Product Engineer (Remote)",
        "url": "https://www.ycombinator.com/companies/glass-health/jobs/fGTJfGh-founding-product-engineer-remote",
        "location": "Remote / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $210K",
        "equity_range": "0.50% - 1.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
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      {
        "id": 64763,
        "title": "Founding Software Engineer (Backend, Remote)",
        "url": "https://www.ycombinator.com/companies/glass-health/jobs/r1SZMPD-founding-software-engineer-backend-remote",
        "location": "Remote / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $210K",
        "equity_range": "0.50% - 1.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
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      },
      {
        "id": 64765,
        "title": "Founding Software Engineer (Full-Stack, Remote)",
        "url": "https://www.ycombinator.com/companies/glass-health/jobs/lbhTrFq-founding-software-engineer-full-stack-remote",
        "location": "Remote / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $210K",
        "equity_range": "0.50% - 1.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
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      },
      {
        "id": 64767,
        "title": "Founding AI/Data Engineer (Remote)",
        "url": "https://www.ycombinator.com/companies/glass-health/jobs/HzQtmlN-founding-ai-data-engineer-remote",
        "location": "Remote / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $210K",
        "equity_range": "0.50% - 1.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
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        "title": "Glass Health Raises $5M for AI-Powered Clinical Decision Support Platform",
        "url": "https://blog.glass.health/glass-health-raises-5m-for-ai-powered-clinical-decision-support-platform/",
        "date": "Sep 11, 2023"
      },
      {
        "title": "Glass Health is building an AI for suggesting medical diagnoses | TechCrunch",
        "url": "https://techcrunch.com/2023/09/08/glass-health-is-building-an-ai-for-suggesting-medical-diagnoses/",
        "date": "Sep 08, 2023"
      },
      {
        "title": "Glass Health Raises Investment from Breyer Capital and Y Combinator for a New Generation of Clinical Software",
        "url": "https://blog.glass.health/yc/",
        "date": "Feb 14, 2023"
      }
    ],
    "launches": [
      {
        "id": 69950,
        "title": "Glass AI 2.0 Demo - \"ChatGPT for Doctors\"",
        "tagline": "We empower doctors with our platform for AI-assisted diagnosis and clinical-decision making.",
        "body": "**Glass AI 2.0** 🩺 **🦾**\n\nIn January, [Glass Health](https://glass.health) launched a new feature called Glass AI, which uses an LLM to generate a medical diagnosis or clinical plan from a patient summary. The launch of Glass AI led to >50K AI queries and more than 5K sign-ups for the Glass Health platform.\n\nWe used the feedback from those queries to create an entirely new clinical layer for Glass AI. In this new video [demo,](https://twitter.com/GlassHealthHQ/status/1631001866564927488?s=20) our AI creates a clinical plan for a patient with heart failure. Glass AI 2.0 has been created by a team of 20 physicians and outputs state-of-the-art clinical plans with up-to-date and accurate medical references.\n\n![uploaded image](/media/?type=post&id=69950&key=user_uploads/76099/27c5a00b-4805-4ede-8353-ff8a89cb6feb)\n\n**About Us**\n\n[Dereck Paul](https://www.ycombinator.com/companies/glass-health) is a physician who trained at the UCSF School of Medicine and Brigham and Women’s Hospital, Harvard Medical School. During his clinical training, he encountered the archaic software doctors use to practice medicine and became passionate about providing clinicians with a new generation of software. \n\n[Graham Ramsey](https://www.ycombinator.com/companies/glass-health) was an early engineer and product manager at Modern Fertility and built a telemedicine EHR at Plushcare, where he became passionate about building for clinicians.\n\nDuring the COVID-19 pandemic, we founded Glass Health because of our shared belief that technology should be fully leveraged to optimize the practice of medicine and improve patient outcomes. Please contact us at [founders@glass.health](mailto:founders@glass.health) to learn more about our mission or our Demo Day.\n\nIf you’re a clinician, we’d love to have you try our platform. Please sign up for the Glass AI 2.0 waitlist [here](https://docs.google.com/forms/d/e/1FAIpQLSdCdTtVQiufki0qZqDUiQRZ8TuVbjp9j0GwM5gk75jjBY_o-g/viewform).\n\nFollow us on Twitter at [@GlassHealthHQ](https://twitter.com/GlassHealthHQ) for more updates.",
        "url": "https://www.ycombinator.com/launches/ICE-glass-ai-2-0-demo-chatgpt-for-doctors",
        "votes": 4,
        "created_at": "2024-01-09T21:40:10.162Z"
      },
      {
        "id": 70581,
        "title": "Glass AI - GPT for doctors",
        "tagline": "We empower doctors with our platform for AI-assisted diagnosis and clinical decision-making.",
        "body": "**Glass AI** 🩺\n\nPhysicians spend 2x more time with the computer than they do with patients. Generative AI has the potential to assist doctors with their work, but base LLMs (e.g. ChatGPT) cannot be used in the clinical environment. Base LLMs can output incorrect and outdated treatment plans. \\\n\\\nWe combine a base LLM with a proprietary clinical knowledge database and human (physician) reinforcement training to help doctors diagnose patients and generate accurate clinical plans in seconds. \n\n![uploaded image](/media/?type=post&id=70581&key=user_uploads/76099/68c8b1d6-25ad-4fc3-a4e5-1aaaf32d5958)\n\n**About Us**\n\n[Dereck Paul, MD](https://www.ycombinator.com/companies/glass-health) is a physician who trained at the UCSF School of Medicine and Brigham and Women’s Hospital, Harvard Medical School. During his clinical training, he encountered the archaic software doctors use to practice medicine and became passionate about providing clinicians with a new generation of software. \n\n[Graham Ramsey](https://www.ycombinator.com/companies/glass-health) was an early engineer and product manager at Modern Fertility and built a telemedicine EHR at Plushcare, where he became passionate about building for clinicians.\n\nDuring the COVID-19 pandemic, we founded Glass Health because of our shared belief that technology should be fully leveraged to optimize the practice of medicine and improve patient outcomes. Please contact us at [founders@glass.health](mailto:founders@glass.health) to learn more about our mission or our Demo Day raise.\n\nIf you’re a clinician, we’d love to have you try our platform. Please sign up for the Glass [here](https://docs.google.com/forms/d/e/1FAIpQLSdCdTtVQiufki0qZqDUiQRZ8TuVbjp9j0GwM5gk75jjBY_o-g/viewform).\n\nFollow us on Twitter at[@GlassHealthHQ](https://twitter.com/GlassHealthHQ) for more updates.",
        "url": "https://www.ycombinator.com/launches/IMP-glass-ai-gpt-for-doctors",
        "votes": 35,
        "created_at": "2023-03-28T14:36:11.359Z"
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        "id": 68710,
        "title": "Glass Health — Frictionless software for learning and practicing medicine 🩺",
        "tagline": "Glass is an AI-powered platform for medical knowledge management and clinical decision making that helps clinicians provide better patient care.",
        "body": "![uploaded image](/media/?type=post&id=68710&key=user_uploads/76099/471cfb16-bd60-47be-8b49-b60d0faa66a6)\n\n**🤔 PROBLEM**\n\nWe saw physicians struggling to manage an ever-expanding world of complex clinical information from heterogeneous sources. We also experienced this problem first-hand in the clinical environment. Our friends in medicine had phones and email accounts full of disorganized journal articles, tweets, clinical images, lecture slides. They could not easily reference these important digital assets when needed to enhance their care of patients.\n\n**🩺 SOLUTION**\n\nGlass is a medical knowledge management platform, aka “Notion for doctors.” Our platform is tailored to how clinicians capture, organize, store, and retrieve medical knowledge.\n\nWe’ve created medicine-specific knowledge management features, including:\n\n* Schemas, Scripts, and Cases: store content in special page templates tailored to common medical knowledge constructs.\n* Pearls: capture snippets of clinical knowledge encountered during patient care and later organize them in your notebook.\n* Linking and Visualizations: easily backlink pages and later view their relationships with medicine-specific visualizations.\n* Community Library: view and save pages published by others in the Glass Health Community.\n* Glass AI: draft differential diagnoses and clinical plans using generative AI. ([Glass AI Demo](https://glass.health/ai))\n* Team Collaboration (coming soon): track key information about patients in a HIPAA-compliant team collaboration environment.\n\n![uploaded image](/media/?type=post&id=68710&key=user_uploads/76099/ba37b973-9395-4320-b3dd-9771299ce305)\n\nThese features help clinicians bring all medical knowledge assets they encounter throughout their careers into one place. This helps them achieve clinical mastery faster and leverage their ever-growing digital external brains to better care for patients.\n\n**📖 FOUNDER BACKGROUNDS**\n\n[Dereck Paul, MD](https://twitter.com/dereckwpaul) was a resident physician in internal medicine at Brigham and Women’s Hospital, Harvard Medical School, and a medical student at the UCSF School of Medicine.\n\n[Graham Ramsey](https://www.linkedin.com/in/graham-ramsey/) interned at Watsi (YC W13) and designed and built the EHR at the telemedicine company PlushCare. He was an early product team member at Modern Fertility (YC S17) until its acquisition by Ro in 2021.\n\nContact us at [founders@glass.health](mailto:founders@glass.health).",
        "url": "https://www.ycombinator.com/launches/HsE-glass-health-frictionless-software-for-learning-and-practicing-medicine",
        "votes": 25,
        "created_at": "2023-01-25T17:58:38.335Z"
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    "id": 27785,
    "name": "Pledge Health",
    "slug": "pledge-health",
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    "website": "https://www.pledge.health/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Our AI browser assistant automates insurance tasks like verifying benefits, submitting prior auths, checking claim statuses, and more across all payer portals, directly from the clinic's EHR. It does exactly what the admin team is doing today, just helps them do it 10x faster and as thoroughly as a seasoned teammate.",
    "one_liner": "AI RCM assistant that handles any insurance task on payer portals for…",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1673114409,
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      "Health Tech",
      "B2B",
      "Workflow Automation"
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    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Acquired",
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    "year_founded": 2022,
    "city": "New York City",
    "country": "US",
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        "user_id": 820961,
        "full_name": "Andrew Tang",
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      {
        "id": 69977,
        "title": "Pledge Health - Automated patient billing for healthcare clinics",
        "tagline": "We automate cost estimation and billing so clinics get paid by their patients faster",
        "body": "Hi! We’re Shreya and Andrew, the team behind [Pledge Health](https://www.pledge.health/?utm_source=launch_yc&utm_medium=post&utm_campaign=launch_yc).\n\n**TL;DR** Pledge automates patient billing for independent healthcare clinics. We estimate how much insurance will cover for each visit, so clinics can charge patients at the time of service, rather than waiting weeks for insurance to process.\n\n![uploaded image](/media/?type=post&id=69977&key=user_uploads/632299/dfd59475-c145-471f-966b-d69acf3819ef)\n\n### 🤯  **The Problem**\n\nA larger share of healthcare clinics’ revenue is coming from patients instead of insurance companies, so clinics are trying to charge patients upfront for care. However, the manual process of estimating how much a patient will pay after insurance is error-prone, expensive, and time-consuming.\n\nTake Dr. Emily for example; she **spends more than 20 cents to collect every $1 from a patient**. Despite the high cost and effort, her office is only able to collect 50% of the patient's responsibility at the time of the visit.\n\nThere are over 200k clinic owners like Dr. Emily in the US, **struggling to collect $47 billion in patient payments** every year.\n\n### 💡 **Our Solution**\n\n* Automatically verifies patient insurance benefits ahead of their appointment.\n* Creates personalized out-of-pocket cost estimates by combining the patient’s insurance benefits, the predicted services for the visit, and contracted prices.\n* Communicates the estimated cost and final bills clearly with patients via email and text and allows patients to schedule payments.\n\n![uploaded image](/media/?type=post&id=69977&key=user_uploads/632299/e1fa730d-526f-440b-99b8-53fc81ffa657)\n\n📈 Results with Pledge\n\n* Reduce time spent on collecting patient responsibility by 75%\n* Increase collections by 17%\n* See > 90% patient satisfaction\n\n### 🤠 **Team**\n\nAndrew was a founding engineer at CancerIQ, where he built integrations with electronic health record systems that are crucial to automating billing workflows at Pledge.\n\nShreya was a software engineer at Microsoft, where she worked on healthcare and ML applications.\n\n### 🫶 **Our Ask**\n\nAre you a digital health company or know someone who owns/works at a private healthcare practice that accepts insurance? **Please connect with us at **[**engage@pledge.health**](mailto:engage@pledge.health)**!**\n\n![uploaded image](/media/?type=post&id=69977&key=user_uploads/632299/b78a4d89-22e0-40dd-bed0-1fdd421c39e8)\n\n",
        "url": "https://www.ycombinator.com/launches/ICf-pledge-health-automated-patient-billing-for-healthcare-clinics",
        "votes": 299,
        "created_at": "2023-03-07T05:01:21.102Z"
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    "id": 27828,
    "name": "Scanbase",
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    "website": "https://www.scanbase.com",
    "all_locations": "Los Angeles, CA, USA",
    "long_description": "Scanbase makes it easy for medical companies to convert photos of rapid diagnostic tests into results. We do this by providing a simple API that any medical company can access.\r\n",
    "one_liner": "The API for Diagnostic Test Analysis (COVID-19, FLU, RSV, STD,…",
    "team_size": 10,
    "industry": "Healthcare",
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    "url": "https://www.ycombinator.com/companies/scanbase",
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    "year_founded": 2022,
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/scanbases/",
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      "name": "Tom Blomfield",
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        "user_id": 1162081,
        "full_name": "Jeffrey Lange",
        "title": "Founder",
        "founder_bio": "Jeffrey is currently the CEO of Scanbase, a seed stage diagnostic scanning API used by at-home test manufacturers. He is a graduate of the Rhode Island School of Design.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/langejeff/",
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      {
        "user_id": 1150701,
        "full_name": "Steve Roger",
        "title": "Founder",
        "founder_bio": "CTO of Scanbase with 10+ years building enterprise level APIs, and products. Steve holds a degree in CS from UC Berkeley. Ex-LinkedIn.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/steveroger/",
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    ],
    "jobs": [],
    "news": [
      {
        "title": "Y Combinator’s Most Recent Winter 2023 Batch Shows A Shift To AI, DevTools And B2B ",
        "url": "https://news.crunchbase.com/venture/y-combinator-winter-2023-shift-ai-devtools-b2b/",
        "date": "Apr 12, 2023"
      },
      {
        "title": "Our favorite startups from YC’s Winter 2023 Demo Day — Part 2 | TechCrunch",
        "url": "https://techcrunch.com/2023/04/06/y-combinator-demo-day-2023-favorites-part-two/",
        "date": "Apr 06, 2023"
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      {
        "id": 68414,
        "title": "Scanbase API - Converting Diagnostic Tests to Results, Next Steps, and Treatment",
        "tagline": "COVID-19, Flu, Pregnancy, RSV, STD/STI, HIV, CKD, UTI, and many more...",
        "body": "![uploaded image](/media/?type=post&id=68414&key=user_uploads/1162081/724cd23c-f4df-4100-954e-379c4f248340)\n\n![uploaded image](/media/?type=post&id=68414&key=user_uploads/1162081/047c2be5-f90d-4a0b-acc6-693a32527879)\n\n![uploaded image](/media/?type=post&id=68414&key=user_uploads/1162081/d6a6fc05-b35f-4382-8d04-5a1c04c5bec0)\n\n[Book a demo](https://www.scanbase.com/schedule-a-demo) and learn how Scanbase can enhance your diagnostic program.\n\n![uploaded image](/media/?type=post&id=68414&key=user_uploads/1162081/9151ad3b-aee8-469f-85a8-865f70e98b45)\n\nWatch a demo of a Scanbase’s algorithm interpreting a **low positive** test!\n\n![uploaded image](/media/?type=post&id=68414&key=user_uploads/1162081/bb4bb5c4-0806-4417-a3e9-a05347115195)\n\n![uploaded image](/media/?type=post&id=68414&key=user_uploads/1162081/c31413ed-9102-4eb6-acfd-f4016a843ab4)\n\n![uploaded image](/media/?type=post&id=68414&key=user_uploads/1162081/b9e1ac86-a480-48f7-9663-57c6dc724723)\n\nInterested in digitizing your diagnostic tests and don’t have an app? Reach out to us at [info@scanbase.com](mailto:info@scanbase.com) to learn how we’re helping diagnostics companies digitize from the ground up.\n\n![uploaded image](/media/?type=post&id=68414&key=user_uploads/1162081/4378e1d7-15cd-4dfa-88af-66f0c64babeb)\n\n![uploaded image](/media/?type=post&id=68414&key=user_uploads/1162081/821f585b-f832-4df7-8b91-21ca677a0d14)\n\nDon’t see the test you’re looking for? Let know at [info@scanbase.com](mailto:info@scanbase.com).\n\n![uploaded image](/media/?type=post&id=68414&key=user_uploads/1162081/2809d76e-b3e0-405f-925c-82af759f4115)\n\n[Book a demo](https://www.scanbase.com/schedule-a-demo) and learn how Scanbase can enhance your diagnostic program.\\\n\\\n**We believe that everyone deserves access to the best healthcare technology has to offer.** Founded in 2022 and based in San Francisco, California, Scanbase is an API that allows medical companies to enable smartphone-based computer vision quickly so anyone anywhere can analyze their at-home test results with confidence.\\\n\\\nIf you are interested in learning more or joining our team, shoot us an email at [info@scanbase.com](mailto:info@scanbase.com) and we’ll get back to you right away.",
        "url": "https://www.ycombinator.com/launches/HnS-scanbase-api-converting-diagnostic-tests-to-results-next-steps-and-treatment",
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    "id": 27858,
    "name": "Kivo Health",
    "slug": "kivo-health",
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    "team_size": 40,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare Services",
    "launched_at": 1675703099,
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        "full_name": "Victor Sadauskas",
        "title": "Founder",
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        "full_name": "Vaughn Koch",
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        "id": 100517,
        "title": "Senior Engineer",
        "url": "https://www.ycombinator.com/companies/kivo-health/jobs/2dlgyZO-senior-engineer",
        "location": "Seattle",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$200K - $260K",
        "equity_range": "0.15% - 0.25%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Django",
          "Python",
          "React",
          "React Native",
          "TypeScript",
          "LLMs",
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      },
      {
        "id": 101225,
        "title": "Full-Stack Engineer",
        "url": "https://www.ycombinator.com/companies/kivo-health/jobs/L6oQv63-full-stack-engineer",
        "location": "Seattle",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $220K",
        "equity_range": "0.10% - 0.15%",
        "experience": "3+ years",
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      }
    ],
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      {
        "id": 69058,
        "title": "Kivo Health - Telehealth lung rehab",
        "tagline": "We treat chronic lung disease patients with rehab over live video.",
        "body": "Hey YC, we're Vaughn and Victor, and we're excited to announce the public launch of [Kivo Health](https://kivohealth.com?utm_source=launch_yc&utm_medium=post&utm_id=launch&utm_content=toplink)!\n\n![uploaded image](/media/?type=post&id=69058&key=user_uploads/29150/dd09bb20-ff16-41d8-ac17-e02af5f068d4)\n\n![uploaded image](/media/?type=post&id=69058&key=user_uploads/29150/e395a0d4-305a-4d2c-b658-213602df0192)\n\n**We treat chronic lung disease with rehab over Zoom.** We offer an 8-week remote program that keeps people out of the hospital, and can save payers $6,000 per patient by reducing hospital stays.\n\n# How we help\n\nChronic lung disease affects 16M people in the US, resulting in $50B in annual spend due to recurrent hospitalizations.\n\nPulmonary rehab (PR) is like physical rehab for your lungs. It includes guided exercise, breathing techniques, and a full education program which teaches people to manage their lung condition.\n\nPR has strong clinical evidence: it can improve clinical outcomes, reduce hospital bed-days by 62%, save payers between $6-10k for every patient, and help patients feel better.\n\n![uploaded image](/media/?type=post&id=69058&key=user_uploads/29150/5bfdd176-ce16-4965-a9e6-82a8a5d7e4e9)\n\nThis life changing therapy has been around for decades, but tragically only 3% of eligible patients are getting it. Why? Access.\n\nOften, people with COPD or other lung disease find it challenging to walk up a flight of stairs. Traveling 30-45 minutes to a PR center twice a week is a lot harder, especially for people without transport or the ability to pay for gas and parking.\n\n**Kivo Health solves access by providing telehealth PR**, so patients can be treated comfortably at home.\n\n# **How it works**\n\nWe ship people our Kivo Kit, which has a cell-connected iPad, a Bluetooth pulse oximeter, and exercise equipment.\n\n![uploaded image](/media/?type=post&id=69058&key=user_uploads/29150/dd5cd6c7-0ead-424b-aa90-b30c62bedc77)\n\nPatients join live video sessions twice a week for 2 months, with one of our talented respiratory therapists.\n\nDuring the sessions, our therapists are:\n\n* Monitoring our patients with realtime pulse oximetry\n* Improving their lung function with exercise\n* Teaching them breathing techniques, inhaler use, and a lot of other key lessons.\n\n# **Wins**\n\nWe're building Kivo to help patients get access to pulmonary rehab. But it's the stories that make us feel great about what we're doing. Here's a few examples.\n\n1\\. One patient told us that she'd been using her inhaler wrong for over 20 years, until she learned proper technique from Kivo.\n\n2\\. Another patient told us that she loved Kivo so much, she wrote a letter to her pulmonologist telling him that he should refer all of his patients to our program.\n\n3\\. During our first cohort, we had a patient that was feeling the signs of a lung exacerbation one day. These are dangerous because people often end up in the ER, or even full hospitalization (which costs $19k on average!). Because she had learned from Kivo how to recognize the signs of an exacerbation, she immediately got a course of steroids from her doctor and felt better quickly. This could have made the difference between a hospital visit and relaxing at home.\n\n# **How you can help**\n\n* If you have a family member or friend with COPD or other lung disease, tell them about [Kivo Health](https://kivohealth.com?utm_source=launch_yc&utm_medium=post&utm_id=launch&utm_content=asks)! Note - patients need to be referred by their physician.\n* Also, we'd appreciate any intros to pulmonologists - email us at [hello@kivohealth.com](mailto:hello@kivohealth.com).\n\nMuch love, **Victor and Vaughn**\n\n![uploaded image](/media/?type=post&id=69058&key=user_uploads/29150/4d3d690e-3fe6-4ba3-bdd3-96c5597d68ed)\n\n# **Where to find us**\n\n![uploaded image](/media/?type=post&id=69058&key=user_uploads/29150/d07c5bf9-fae7-4973-8470-a13db1e96cec)\n\nWeb: <https://kivohealth.com>\n\nEmail: [hello@kivohealth.com](mailto:hello@kivohealth.com)\n\n[Twitter](https://twitter.com/kivohealth)\n\n[Facebook](https://facebook.com/kivohealth)\n\n[LinkedIn](https://www.linkedin.com/company/kivo-health/)",
        "url": "https://www.ycombinator.com/launches/Hxq-kivo-health-telehealth-lung-rehab",
        "votes": 40,
        "created_at": "2023-02-06T18:03:52.870Z"
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    "all_locations": "Philadelphia, PA, USA; New York, NY, USA",
    "long_description": "Orchid is an AI-powered Electronic Health Record (EHR) for independent mental health professionals that saves them time, money, and frustration by integrating core administrative workflows, streamlining clinical processes, and automating manual flows.",
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      "name": "Tom Blomfield",
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        "full_name": "Joseph Pomianowski",
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        "title": "Senior Frontend Engineer",
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        "location": "IN / PK / BD / BR / AR / CL / MX / PL / Remote (IN; PK; BD; BR; AR; CL; MX; PL)",
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        "title": "EHR Startup Targets Mental Health Clinicians With AI Scribe Technology | Healthcare Innovation",
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        "date": "Dec 06, 2024"
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        "url": "https://www.healthcareitnews.com/news/orchid-announces-new-hipaa-compliant-ai-scribe-mental-health",
        "date": "Jul 29, 2024"
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      {
        "id": 69725,
        "title": "Orchid – The most efficient EHR for independent mental health professionals",
        "tagline": "We help mental health professionals automate and streamline their admin workflows.",
        "body": "### **Tl;dr:** _[_Orchid_](https://orchid.health) is an Electronic Health Record (EHR) for independent mental health professionals that saves clinicians’ time, money, and frustration. We do this by integrating core administrative workflows, streamlining clinical processes, and automating manual flows. Altogether, Orchid practitioners reclaim \\~500+ hours of their time spent on administrative work, with the potential to save $11B in healthcare costs annually._\n\n### _Would you or anyone in your network be interested in learning more or helping out? [**Connect with us**](mailto:founders@orchid.health)_\n\n \n\n### **The Problem** \n\nDid you know that **mental health professionals** spend more time on their EHR than they do with their patients? In fact, they **lose 500 hours a year** by clicking around terrible infrastructure and as a result the **healthcare industry loses $11 billion annually**.\n\nMental health clinicians face the following set of challenges:\n\n1. Subpar EHR solutions cost mental health clinicians \\~1,500 hours/year\n2. This admin time detracts from time spent with patients, translating into $10,000+ of lost revenue per clinician\n3. Lost revenue and less time with patients leads to stress and ultimately to clinician burnout \n\nNo wonder it’s so hard to find a therapist these days, and it all starts with clunky software! \n\nAt Orchid we believe the path to helping those seeking mental health care runs through helping mental health clinicians. We need to figure out an affordable way to buy back the time of these mental health professionals because every hour wasted is an hour not spent addressing the mountain of unmet demand in this market and results in billions wasted for our healthcare industry. \n\n### **The Solution**\n\nEnter Orchid. **We are an affordable EHR that seamlessly integrates the core functions of running a mental healthcare practice.** \n\nImagine an all-in-one platform that automates scheduling, billing, insurance credentialing, analytics, telehealth, and note-taking. By doing this **we reclaim 500 hours of each provider annually, and we potentially save the healthcare industry 11 billion dollars**. \n\nOrchid not only helps clinicians improve the mental health outcomes of their patients but also alleviates the supply-demand imbalance in the mental healthcare market by enabling clinicians to spend more time both onboarding new patients and focusing on their current patient roster.\n\n**Read what Orchid subscribers are saying about how Orchid reduces their admin work**:\n\n![uploaded image](/media/?type=post&id=69725&key=user_uploads/1179470/fddba9d9-d1b1-42f8-859c-c0ec794570c7)\n\n\n### **Make the world a better place**\n\n**If you or anyone in your network might be interested in learning more or helping out, we would love to chat.**  We're especially interested in talking with:\n\n* **Health insurance companies (payors)**, especially those interested in expanding their mental health offerings, in increasing their members’ access to mental healthcare, in decreasing their costs through efficient operations, and in improving their quality of care. **We have hundreds of vetted clinicians implementing measurement-based care.**\n* **Independent mental health professionals**: therapists, social workers, psychologists, and psychiatrists, even if they’re currently not in the market for a new EHR. You can also ask them to [sign up for a quick 15-minute demo](https://orchid.health). \n* **Nonprofits** with an interest in supporting mental health\n\nWe can be **reached at** [**founders@orchid.health**](mailto:founders@orchid.health)\n\nPlease **follow us on** [**LinkedIn**](https://linkedin.com/company/hey-orchid) and spread the love.",
        "url": "https://www.ycombinator.com/launches/I8b-orchid-the-most-efficient-ehr-for-independent-mental-health-professionals",
        "votes": 157,
        "created_at": "2023-02-27T21:50:35.839Z"
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    "name": "Fairway Health",
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    "all_locations": "New York City, NY, USA; Philadelphia, PA, USA; Boston, MA, USA; Remote",
    "long_description": "Fairway Health is an AI-assistant for health insurers to quickly process patient treatment authorizations. We use LLMs to analyze long (70+ page), messy medical records and determine if a patient is eligible for a treatment.\r\n\r\n",
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    "team_size": 3,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
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        "full_name": "Grace W",
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        "founder_bio": "CTO of Fairway Health. Grace previously worked at Asana and AWS on authentication/authorization and IoT device data monitoring respectively. Before that, she worked at MDClone, developing packages to enable the analysis of hundreds of thousands of datapoints for attributes such as patient remission. She also previously did research in ML in computer vision (detecting diseases from retinal OCT scans) and natural language processing (efficiently optimizing pre-trained language models like GPT).",
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        "date": "May 14, 2024"
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        "id": 70364,
        "title": "Fairway Health - Process prior authorization faster",
        "tagline": "We use LLMs to analyze long (70+ page), messy medical records and determine if a patient is eligible for a treatment.",
        "body": "### **TL;DR**\n\nFairway Health is an AI assistant for health insurers to quickly process patient treatment authorizations. We use LLMs to analyze long (70+ page), messy medical records and determine if a patient is eligible for a treatment.\n\n### **What is Prior Authorization?**\n\nPrior Authorization is a process where physicians must obtain approval from a patient’s health insurance plan before a specific treatment or medication is delivered. This process can take an **average of 2-14 days, with some cases taking upwards of 15-31 days**. This prevents patients from receiving necessary treatments in a timely manner. The entire healthcare industry is also projected to **spend $36 billion each year** in administrative costs for this process. \n\n**This process for health insurance is still manual and inefficient:**\n\n1. Patient documents sent to health insurance are a mess and can be a **70-100+ page fax.**\n2. Health insurance companies have to **allocate more headcount to try and manually check these documents** against their medical necessity criteria, costing them millions each year.\n\n### **How it works:**\n\nWe speed up the medical eligibility determination for health insurers. We ingest patient documents + criteria from health insurance plans and use LLMs to output an approval/denial decision with justification based on an evaluation of each sub-criteria. We also highlight the context within the medical document that informed the decision to allow for easy review.\n\n![uploaded image](/media/?type=post&id=70364&key=user_uploads/1096888/fceffbb3-e71a-4523-a0a9-df7c73f34c76)\n\n### **Our ask:**\n\nAre you in health insurance or do you know anyone in health insurance? Ping us at [moses@fairwayhealth.co](mailto:moses@fairwayhealth.co). We would love to get connected and hear if we can help speed up your medical necessity determination process.",
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    "country": "US",
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      {
        "user_id": 643279,
        "full_name": "Yansen Zhou",
        "title": "Founder",
        "founder_bio": "Software engineer building in healthcare",
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        "id": 82736,
        "title": "Hippo Scribe - Free AI scribe for PT/OT/SLP",
        "tagline": "We help PT/OT/SLP focus on the patients and save 4 hrs/week by having AI record + generate clinical documentations",
        "body": "**Who We Serve**\n\nMeet Marissa, a pediatric speech-language pathologist (SLP) who helps kids with various disorders. She sees eight children daily, keeping her energy high to keep them engaged. After work, she spends an hour writing down exactly what happened in each session. She's tired, it's hard to remember, and she's getting burnt out.\n\nNow meet John, a physical therapist who sees 8-13 patients a day. He helps adults relieve pain, athletes get back to sports, and the elderly avoid falls. He loves helping people, but after work, he has to recall what happened and spend 1-2 hours writing it all down. He's skipping family dinners and slowly burning out.\n\n**The Problem**\n\nHundreds of thousands of clinicians like Marissa and John are suffering from documentation burnout. They love helping patients, but it's overwhelming to remember everything and constantly write it down.\n\n**The Solution**\n\nOur AI Scribe listens to patient visits and generates compliant clinical documentation in the clinician's preferred format within 20 seconds after the visit. With us, clinicians save hours every week, don't have to type during patient visits, and can give patients 100% of their attention.\n\n**Free Plan**\n\nWe're launching a free plan so more clinicians can see how AI can solve their documentation problems. To get started, simply create an account at [gethipposcribe.com](https://gethipposcribe.com).\n\n**Community**\n\n600+ clinicians are discussing AI Scribe in our [facebook group](https://www.facebook.com/groups/hipposcribe/). Join your peers and see how AI is benefiting them! \n\n**User love:**\n\n![uploaded image](/media/?type=post&id=82736&key=user_uploads/643279/e184090b-3e10-4c14-b426-3aae1048a150)\n\n![uploaded image](/media/?type=post&id=82736&key=user_uploads/643279/ad5dfc08-e0e2-411b-8df2-d5d5d3d1af31)\n\n![uploaded image](/media/?type=post&id=82736&key=user_uploads/643279/5208e1ab-675c-4352-9478-7f350153a539)\n\n",
        "url": "https://www.ycombinator.com/launches/LWS-hippo-scribe-free-ai-scribe-for-pt-ot-slp",
        "votes": 8,
        "created_at": "2024-08-05T17:39:47.858Z"
      },
      {
        "id": 80679,
        "title": "Hippo Scribe - 70% faster documentation for PT/OT/SLP",
        "tagline": "Our AI Scribe listens, generates the first draft of clinical documentation, and syncs the finalized documentation to EMR.",
        "body": "Hello world, I’m Yansen, son of clinicians and I’m building AI solutions to make documentation easier. \n\n**The Problem: Burdensome Documentation**\n\nWe talked to more than 200 physical therapists, and learned that burdensome documentation is one of the top reasons for burnout. Many PTs see patients back to back in a 10 hour shift, and still have to spend 2 unpaid hours at home documenting each visit. \n\n**The Solution: AI Scribe**\n\n![uploaded image](/media/?type=post&id=80679&key=user_uploads/643279/2dafd1d4-5ae1-4cc2-9fe7-c1a37cff3348)\n\nHippo Scribe makes writing documentation painless by recording the patient visit/clinician dictation, generating the first draft, then syncs the documentation into EMR with one click. \n\n**The Result: Happy Clinicians**\n\nwarning: using Hippo Scribe may cause extreme happiness\n\n![uploaded image](/media/?type=post&id=80679&key=user_uploads/643279/0142940d-d534-4b10-bf77-8fb60562db4b)\n\n**Ask:**\n\n* Know a clinician who hates doing notes? Share [Hippo Scribe](https://gethipposcribe.com/)\n* You are a clinician and want to see a demo? [Book here](https://cal.com/yansen/hippo-scribe-demo-15-minutes)",
        "url": "https://www.ycombinator.com/launches/KzH-hippo-scribe-70-faster-documentation-for-pt-ot-slp",
        "votes": 45,
        "created_at": "2024-05-07T17:04:44.930Z"
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    "all_locations": "San Francisco, CA, USA",
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    "team_size": 28,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1675068442,
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    "batch": "Winter 2023",
    "status": "Active",
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    "stage": "Growth",
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    "url": "https://www.ycombinator.com/companies/vitalize",
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    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/vitalizecare",
    "x_url": "https://twitter.com/vitalize_care",
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    "cb_url": "https://www.crunchbase.com/organization/vitalize-care",
    "github_url": "https://github.com/vitalizecare",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 629878,
        "full_name": "Veeraj Shah",
        "title": "Founder",
        "founder_bio": "I'm an MD/PhD student turned founder of Vitalize, where we work with healthcare employers to improve the mental health + productivity of their staff. Prior to Vitalize, I co-founded two behavioral health nonprofits and co-led digital health strategy initiatives for the US Surgeon General and IBM. Originally got interested in healthcare through informatics research, where my most recent work was funded by the Gates Foundation. Love chatting about all things hiking and coffee!",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/veeraj-shah-125563125/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6c48b21d1650410eaa998b717758c96ae80013e3.jpg"
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      {
        "user_id": 602411,
        "full_name": "Sanketh Andhavarapu",
        "title": "Founder",
        "founder_bio": "Co-Founder and Chief Product Officer of Vitalize Care, where we work with healthcare employers to improve the mental health of their staff. Prior to Vitalize, I co-founded a revenue-generating education nonprofit, and also conducted clinical, basic science, and health services research, co-authoring over 20 peer-reviewed publications. Previously led business development for seed-stage pediatric healthtech startup, and was also a fellow with .406 Ventures.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sanketh-andhavarapu/",
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        "title": "Senior Full-Stack Engineer",
        "url": "https://www.ycombinator.com/companies/vitalize/jobs/sUE0BfM-senior-full-stack-engineer",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$180K - $260K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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      {
        "id": 91165,
        "title": "Customer Success Manager",
        "url": "https://www.ycombinator.com/companies/vitalize/jobs/mfv63bM-customer-success-manager",
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        "id": 97991,
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        "url": "https://www.ycombinator.com/companies/vitalize/jobs/Dy6f8vj-staff-product-designer",
        "location": "San Francisco HQ / Remote (US)",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
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        "experience": "8+ years",
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        "id": 97992,
        "title": "Create Your Own",
        "url": "https://www.ycombinator.com/companies/vitalize/jobs/ZrrH35B-create-your-own",
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        "type": "Full-time",
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        "salary_range": "",
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        "experience": "Any (new grads ok)",
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        "id": 97993,
        "title": "Founding Marketing",
        "url": "https://www.ycombinator.com/companies/vitalize/jobs/mSfAbo5-founding-marketing",
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        "type": "Full-time",
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        "id": 97994,
        "title": "Senior Product Engineer, Deployment Platform",
        "url": "https://www.ycombinator.com/companies/vitalize/jobs/F1FqIiC-senior-product-engineer-deployment-platform",
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      {
        "id": 97996,
        "title": "Integrations Engineer",
        "url": "https://www.ycombinator.com/companies/vitalize/jobs/pLxLZPb-integrations-engineer",
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        "title": "Vitalize scores $31M to scale up hospital 'air traffic control'",
        "url": "https://www.fiercehealthcare.com/health-tech/vitalize-secures-31m-scale-ai-powered-operating-system-hospital-staffing-and-scheduling",
        "date": "Oct 06, 2026"
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    "id": 27966,
    "name": "CombineHealth",
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    "subindustry": "Healthcare -> Healthcare IT",
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        "user_id": 588096,
        "full_name": "Sourabh Agrawal",
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      {
        "user_id": 500862,
        "full_name": "Shikha Mohanty",
        "title": "Founder",
        "founder_bio": "Shikha was a venture builder and SaaS investor in the past. She has worked with several deeptech companies in her previous work experience and has contributed to their growth journeys by providing support on their GTM startegy",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/shikhamohanty/",
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    "launches": [
      {
        "id": 77918,
        "title": "UpTrain AI: Enterprise-grade tooling to ship LLM applications confidently",
        "tagline": "Full-stack LLMOps platform for all your production needs 🔧",
        "body": "**TLDR:** Hi, everyone. We are Shikha & Sourabh, and we help companies ship LLM applications confidently. We provide enterprise-grade tools to evaluate, experiment, monitor, and test LLM changes easily. We provide seamless collaboration, and [being OSS](https://github.com/uptrain-ai/uptrain), we provide tons of customization and self-hosting capabilities to satisfy your data governance needs.\n\n### **PROBLEM 🤔:**\n\n**“Building LLM prototypes is easy, but productionising them is damn hard.”** (You might have guessed it given we are building an LLMOps platform 😉). So, LLMs are unpredictable and dealing with them is complex and messy:\n\n1. You spend countless hours manually reading through your chatbot responses or analyzing the actions of your automation agents.\n2. Fixing the prompt to solve one failure case opens a can of worms and can make previous answers go bad.\n3. Improvements are always reactive - users complain, and then you go back and fix them, eroding their trust and your credibility. \n4. Collaborating with your team is messy - countless Google Docs and Slack channels are created to debug failure cases.\n\n### **SOLUTION 💡:**\n\nUpTrain provides the most advanced LLMOps platform to streamline the complete process. It goes beyond just giving scores or monitoring logs but provides a single platform to identify, debug, and collaborate to improve the accuracy of your LLM applications. \n\n* We give reliable scores over various metrics (both LLM-based and classical NLP ones) as well as allow you to define custom ones to evaluate your full LLM pipeline comprehensively.\n\n![uploaded image](/media/?type=post&id=77918&key=user_uploads/588096/c9c6e03f-be80-4799-a783-05074f0d72ea)\n\n* We run root cause analysis to identify if it is a retrieval issue, if your context requires reranking, if the LLM is unable to utilize the context, or if certain instructions are not being followed.\n\n![uploaded image](/media/?type=post&id=77918&key=user_uploads/588096/117c15f7-c03b-4821-b033-8ab4b0d6e3df)\n\n* State-of-the-art techniques for automated prompt optimization, automatic eval generation, finding common topics among failure cases, etc., to act as your LLMOps co-pilot.\n\n![uploaded image](/media/?type=post&id=77918&key=user_uploads/588096/e190b97e-49f9-45be-9dba-ec8233e3f2fe)\n\nBest of all, UpTrain is open-source under Apache 2.0 with more than 1700 GitHub stars and adoption among developers across multiple Fortune 500 companies. Being OSS, UpTrain has tons of customization options and can be deployed in your secure cloud environment, fulfilling your data governance requirements.\n\n### **OUR ASK 🙌:**\n\n1. If you are building LLM applications, we would love to get feedback on [our platform](https://uptrain.ai/).\n2. If you are doing evaluations with home-grown solutions, let us know what they are. We would be happy to add them to [our OSS](https://github.com/uptrain-ai/uptrain).\n3. Join [our Slack community](https://join.slack.com/t/uptraincommunity/shared_invite/zt-1yih3aojn-CEoR_gAh6PDSknhFmuaJeg) to stay updated on our progress.\n\nIf you want a demo or want to chat more, please [book a call here.](https://calendly.com/uptrain-sourabh/30min)",
        "url": "https://www.ycombinator.com/launches/KGk-uptrain-ai-enterprise-grade-tooling-to-ship-llm-applications-confidently",
        "votes": 40,
        "created_at": "2024-01-29T15:19:58.364Z"
      },
      {
        "id": 69166,
        "title": "UpTrain - Open-source tool to observe your ML models ⚙️ 🔧",
        "tagline": "Open-source Datadog for machine learning models ",
        "body": "**TL;DR:** UpTrain is an open-source ML observability and refinement tool. It helps data scientists observe how their ML models are performing in production and continuously improve them over time by automatically retraining them on cases where the model accuracy was low.\n\n**Hi everyone!** Sourabh, Vipul, and Shikha here, and we’re the team behind UpTrain. \n\nSourabh (CEO), previously founder at fitness tech, where he spent most of his time improving their AI models rather than, well, working out 🏋️\n\nVipul (CTO), previously worked at Meta and Bytedance, where he was busy applying his doctorate knowledge (yes, the Ph.D. kind) to improve their ML models 🔭\n\nShikha (CMO), an ex-VC, where she witnessed the magnanimity of AI problems from the inside of her portfolio companies and this is where she got her eureka moment 🔔\n\n![uploaded image](/media/?type=post&id=69166&key=user_uploads/588096/a21aa066-6198-48c0-8c27-354f6e4ba73a)\n\n### **Problem (The Origin Story 📖)**\n\nDuring the last 7+ years of building and deploying ML models, we have been constantly frustrated due to a lack of good tools that could answer one simple question - “Are our models working as expected in production?“\n\nSourabh first experienced this issue while working on self-driving cars at a Fortune 500 company. Then again he faced similar issues at his startup. The only way the model issues were highlighted was through reading loads of customer complaints, and it was excruciating to see their (hard-earned) revenue churn due to model degradation **😩.** \n\nCoincidentally, Vipul was solving the same problem at the big techs, where he built internal observability tools and optimized model retraining processes. The three founders spoke to 100+ ML practitioners to validate their hypothesis and got a unanimous yes! In fact, during one of the user interviews, we learned that an innocuous bug in the model deployment code led to 3+ weeks of wasted debugging efforts and losses of millions of revenue dollars 🤯\n\nWe are building UpTrain to prevent you from experiencing the same agony!\n\n### **The Solution 💡**\n\nUpTrain is built specifically for Machine Learning. We natively support all the things an ML practitioner requires to observe and improve their models.\n\n✅ Complete visibility into your model’s online health via real-time dashboards \n\n✅ Automatically collects outliers and edge cases \n\n✅ Identifies data distribution shifts \n\n✅ Monitors quality of object embeddings\n\n✅ Model explainability \n\n✅ Continuously retrains and improves your model \n\nCherry on the cake, we are Open-source! Some of the biggest AI-first startups are adopting UpTrain to fulfill their ML observability needs.\n\n### **How to use UpTrain 🤔**\n\nInstall UpTrain from pip, just tell it what all you want to observe, and UpTrain handles all the complexities in the background. Something as simple as below:\n\n![uploaded image](/media/?type=post&id=69166&key=user_uploads/588096/3f9f9f08-df84-480d-af42-62a6af0950c2)\n\nWe DO NOT require you to change any part of your production pipelines and readily integrate with all major ML libraries and tools. In fact, we are running a limited beta program where we provide a no-strings-attached pilot and do all the heavy lifting to ensure seamless integration of UpTrain in your systems. Ping us to know more!\n\n### **Our Ask 🙌**\n\n* Interested? Try us [out](https://uptrain.ai/) or book a demo [here](https://calendly.com/uptrain-ai/30min?month=2023-02) 🔥\n* To follow our progress, do star our [project](https://github.com/uptrain-ai/uptrain) on Github (show us some love - it’s free ❤️) \n* Know someone who needs ML observability, connect us 🔗\n\nFeel free to reach out to any of us with questions, bugs, requests, etc. at [sourabh@uptrain.ai](mailto:sourabh@uptrain.ai)",
        "url": "https://www.ycombinator.com/launches/Hza-uptrain-open-source-tool-to-observe-your-ml-models",
        "votes": 169,
        "created_at": "2023-02-09T18:18:08.592Z"
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    "id": 27985,
    "name": "Loula",
    "slug": "loula",
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    "all_locations": "New York City, NY, USA",
    "long_description": "Loula is a software platform and national provider network for independent birth & postpartum doulas to boost their practices by accepting health insurance. Doulas typically operate outside of the traditional healthcare system and face an enormous learning curve and administrative burden when trying to accept insurance. This is why we created Loula. Starting with doulas in California, Loula handles their credentialing, contracting, and revenue cycle management so that they can focus on delivering the best quality care to their clients.",
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    "team_size": 7,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare Services",
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        "full_name": "Lindsey Redd",
        "title": "Founder",
        "founder_bio": "CEO @ Loula\n\nI'm a Brooklyn-based health tech nerd and former software engineer, obsessed with empowering independent perinatal healthcare providers (think doulas, midwives, and lactation consultants) and making their services more accessible to those who need it most. Prior to starting Loula, I studied CS at Stanford and was a software engineer at Lyft and Stripe. When I'm not working on Loula, I'm throwing pottery, riding my bike, watching tv, or decorating my apartment :)\n",
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      {
        "id": 69549,
        "title": "Onu - Turn scripts into internal tools without doing any frontend work",
        "tagline": "Onu takes away the pain of building complex frontends for internal tooling with script automation and auto-generated UIs.",
        "body": "**tl;dr:** Onu is a developer-first tool that allows engineers to turn the repetitive scripts and workflows they're asked to run for their ops or CX teammates into production-ready internal tools. Onu doesn’t require any frontend work at all, so developers can spend their time writing business critical code instead of building or dragging/dropping frontend components. Sign up for our [waitlist](https://joinonu.com/?utm_source=yclaunch) for early access!  \n\nHi everyone! We’re Lindsey and Chine, and we’re excited to announce [Onu](https://joinonu.com/?utm_source=yclaunch)! \n\n![uploaded image](/media/?type=post&id=69549&key=user_uploads/838199/d4e8ff75-31ac-445a-ac37-c428f4f503a0)\n\nChine and Lindsey are both software engineers who met 5 years ago when they started working at Lyft. \n\n[Chine](https://www.linkedin.com/in/chineikoro/) worked as an engineer at Bain before working at Lyft on the bikes & scooters team. After Lyft, Chine went to Stripe where she worked on banking-as-a-service, corporate cards, and payment links.\n\n[Lindsey](https://www.linkedin.com/in/lindsey-redd/) worked on developer infrastructure and observability at Lyft before leaving to work at Stripe where she worked on low-code/no-code payments on the checkout and payment links teams. \n\n## 😢 **Problem**\n\n* **Tasks that involve both engineering and ops/CX are disjointed and time consuming.** Engineers spend too much time writing and running one-off scripts (e.g. fixing an out-of-sync user account) and ops/CX are often blocked by engineering.\n* **Building internal tools (even with low-code/no-code saas) takes a lot of frontend work.** As a result, building the tool stays in the backlog and engineers & ops keep schlepping through tasks.\n\n## **🥳 Our solution**\n\nOnu is a developer-first tool that allows engineers to quickly turn their ops/CX-related scripts or workflows into production-ready internal tools without having to write any frontend code at all.\n\n* **Spin up internal tools quickly** using the scripts you’ve already written, spending **zero time on frontend development.**\n* **See logs of each task’s previous executions** to keep track of when it was run, who ran it, and the result\n* Run scripts in your own environment but **without having to SSH into production**\n* **Use built-in integrations** to easily add actions to your tasks like posting to Slack, sending an email, or generating a Linear issue\n\n**🤯 You can use Onu to…**\n\n* **Onboard** **new users** to your product and then send them a welcome **email** \n* **Cancel a subscription**, refund the customer, and then update your **CRM**\n* **Fix an out-of-sync user account** and then notify a **Slack** channel of the fix\n\n![uploaded image](/media/?type=post&id=69549&key=user_uploads/838199/3c3d3105-f01e-46a2-b5ea-b38d019b23c9)\n\n## **🌱 Why we built Onu**\n\nWe experienced these problems firsthand while working on fast moving engineering teams at Lyft and Stripe. Our teams needed internal tooling, but we didn’t have time to build feature-rich admin dashboards. Stripe had a homegrown tool that allowed engineers to spin up internal tools without writing frontend code. When we started working on Onu with a different idea we immediately felt the pain of not having a similar tool. \n\n## **🙌🏾 Asks**\n\n* **Sign up** - Join our [waitlist](https://joinonu.com/?utm_source=yclaunch) for early access! We’ll reach out with sign up instructions.\n* **Intros** - Do you know an **engineer, customer experience/ops lead, or startup founder** struggling to manage the workload between ops and engineering? We’d love an introduction. Shoot us an email at [founders@joinonu.com](mailto:founders@joinonu.com) or DM Lindsey on Twitter [@reddyourmind](https://twitter.com/reddyourmind?s=20) if you have someone in mind.\n\n  _\\*forwardable blurb:_ [Lindsey](https://www.linkedin.com/in/lindsey-redd/), and [Chine](https://www.linkedin.com/in/chineikoro/), a team of ex-Stripe software engineers, are building a developer tool called [Onu (YC W23)](https://joinonu.com/?utm_source=yclaunch) to turn scripts and workflows executed for ops and CX teams into internal tools, zero frontend work required. If you’re interested in learning more, feel free to email them at [founders@joinonu.com](mailto:founders@joinonu.com).\n\n \n\n## **⚒️ Offer**\n\n* If you have any manual or repetitive tasks or scripts, we will migrate them onto Onu for you. You'll have a production-ready internal tool with minimal work.\n* We’ll prioritize the integrations (e.g. Linear, Discord, email) you need in order to make Onu a powerful addition to your toolkit.\n\n ",
        "url": "https://www.ycombinator.com/launches/I5l-onu-turn-scripts-into-internal-tools-without-doing-any-frontend-work",
        "votes": 158,
        "created_at": "2023-02-22T17:25:02.950Z"
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    "website": "http://www.sanvivo.eu",
    "all_locations": "Munich, BY, Germany",
    "long_description": "Sanvivo builds a multisided platform to enable customers to order medications, get pharmaceutical advice, and book health services at local pharmacies in Europe. Just like Shopify for pharmacies.\r\n\r\nSanvivo gives pharmacies software to take, fill and schedule delivery for online orders. We also bring instant demand through integrations with 3rd party consumer delivery companies.\r\n\r\nAlmost all pharmacies in Europe are, by law, local 1-person businesses. And they are not ready for online orders. Regulatory changes require pharmacies to take and fill e-prescriptions (roll-out Jan-23), but many have no way to do this online today. \r\n\r\nSanvivo uses technology to give local pharmacies digital superpowers, enabling them to combine fast supply and high-quality consultation with state of the are e-commerce solutions.",
    "one_liner": "Shopify for pharmacies in Europe",
    "team_size": 4,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
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        "full_name": "Julius Rachor",
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        "founder_bio": "Julius Rachor is the co-founder and CEO of Sanvivo. He has worked with BMW in several roles on e-mobility projects (i8, i3) and the Data and ML infrastructure for BMWs Autonomous driving division. Julius is passionate about building technology-driven products and businesses. He earned a degree in physics and a Ph.D. in electrical engineering.",
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        "full_name": "Nikolai Alemi Hariri",
        "title": "Founder",
        "founder_bio": "Sanvivo GmbH - Co-Founder & CEO || ALEMI PHARMACY - pharmacy manager || \nLudwig Maximilian University of Munich - pharmacist\n",
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        "full_name": "Dominic Haul",
        "title": "Founder",
        "founder_bio": "Sanvivo GmbH - Co-Founder & COO ||\nNeumann / Sennheiser - Team Lead Acoustics & Mechanics ||\nKlangPurist - Co-Founder ||\nKÖTTER Consulting Engineers - Consulting Engineer ||\nUniversity of Applied Sciences Munich, Germany - Diploma, Technical Physics\n\n",
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        "full_name": "Sven Wildermann",
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        "founder_bio": "CTO  and Co-Founder of Sanvivo. He studied Computer Science in Berlin and has been with Microsoft Germany as Cloud Solution Architect, consulting enterprise customers concerning well designed data architectures.\nPassionate about data and artificial intelligence.\nLoves all kind of process automation (favorite tool: Microsoft Azure Logic Apps).\nEnjoys to explain complex topics much simplified to everyone who is eager to listen.\nHost of \"AudioDatAI\" - a German speaking podcast about data and AI.",
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        "title": "📱💊 Sanvivo - DoorDash for pharmacies",
        "tagline": "Sanvivo enables customers to order medication at local pharmacies.",
        "body": "⏰ TL;DR\n\nWith our mobile app, [VIVOLY](https://onelink.to/vivolylaunchyc), patients can easily order medication and get them delivered to their doorstep in just 120 minutes.\n\n\\\n**❌ The problem – buying medication in Europe is inconvenient**\\\nFor patients:\n\n* Medicine is often out of stock\n* Long waiting times of up to 24h when buying medication\n* Medication can be purchased at mail-order-pharmacies, but shipping takes several days\n\nFor local pharmacies\n\n* Pharmacies are barely using digital tools\n* Orders (if any) are operated using paper notes or fax\n* Pharmacies can not scale (cap of 4 - 6 pharmacies per owner in Europe)\n* No digital tools to improve customer loyalty & retention\n\n\\\n**📈 The European pharmaceutical market is changing rapidly**\n\n* Telemedicine is expected to grow by 300% by 2027\n* E-prescription unlocks the market for a new digital patient journey\n* Pharmacies in Germany are already doing 120M deliveries a year without any digital tools.\n\n\\\n**✨ Our Solution**\\\nWith our mobile app, [VIVOLY](https://onelink.to/vivolylaunchyc), patients can easily order medication and get them delivered to their doorstep in just 120 minutes. Local pharmacies receive these orders in their Point-of-Sale (POS) systems and communicate with the patient via chat.\n\nVivoly is beneficial, especially for patients with difficulty leaving their homes due to mobility issues or underlying health conditions that make them more vulnerable to infection. The risk of transmission is reduced by allowing patients to order medications online and deliver them directly to their doorstep.\n\n![uploaded image](/media/?type=post&id=68308&key=user_uploads/1159560/c176ffba-7dc7-42f1-a4f0-857fec190e86)\n\n\\\n**⚙ How it works**\\\nIn most European countries, franchising is not allowed for pharmacies. Just like individual restaurants, pharmacies in Europe are one-person businesses. Without any state-of-the-art e-commerce solutions, it is tough for local pharmacies to compete with mail-order-pharmacies. This is true even though local pharmacies offer a much faster patient supply.\n\nIn Germany alone, there are over 120M deliveries done per year by pharmacies. Those are done without any digital process and are managed mostly manually. Compared to most retailers, pharmacies typically have real-time inventory management.\n\nSanvivo builds a marketplace that unlocks this existing infrastructure and delivery capabilities to enable a fast “quick-commerce” user experience. With our App, [VIVOLY,](https://onelink.to/vivolylaunchyc) patients order medication and get pharmaceutical advice via chat. Pharmacies are enabled to process those orders through our web app. Then, ready-to-pick-up orders are delivered by riders of the pharmacy using our mobile rider app.\n\n\\\n**🙏 Asks**\n\n* Download our app (currently only in Germany) and share your feedback with us ([founders@sanvivo.eu](mailto:founders@sanvivo.eu))\n\n### [Download VIVOLY App](https://apps.apple.com/app/apple-store/id1634607276?pt=125264050&ct=bookfacee&mt=8)\n\n* If you know great **working students** with coding, online marketing, or sales skills, please let us know.\n* **We are open to connecting** and cooperating with health providers.",
        "url": "https://www.ycombinator.com/launches/Hlk-sanvivo-doordash-for-pharmacies",
        "votes": 23,
        "created_at": "2023-01-10T12:22:21.191Z"
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    "id": 28037,
    "name": "Diffuse Bio",
    "slug": "diffuse-bio",
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    "website": "http://diffuse.bio",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Diffuse is building generative AI for protein design. Our mission is to build AI systems that engineer new and useful proteins with unprecedented control and accuracy. Our team has been behind breakthroughs in AI protein design for the past 7 years, including the first experimental validation of AI-generated proteins and diffusion models for protein structure and sequence. ",
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    "team_size": 10,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Drug Discovery and Delivery",
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        "full_name": "Namrata Anand",
        "title": "Founder",
        "founder_bio": "I’m a bioengineer / computer scientist who’s worked on problems at the intersection of machine learning and biology. For the past several years, I’ve been working on re-envisioning the computational protein design toolkit with AI. Some highlights are the first crystal structures of AI-designed proteins and diffusion models for protein structure generation. ",
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        "title": "ML Research Engineer",
        "url": "https://www.ycombinator.com/companies/diffuse-bio/jobs/xqlE8GS-ml-research-engineer",
        "location": "Menlo Park, CA, US / Remote (US; CA)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$90K - $130K",
        "equity_range": "0.10% - 0.60%",
        "experience": "3+ years",
        "visa": "Will sponsor",
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        "id": 57699,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/diffuse-bio/jobs/vOf4HTO-software-engineer",
        "location": "Menlo Park, CA / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$90K - $130K",
        "equity_range": "0.05% - 0.60%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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        "title": "Scientists use new A.I. tech to fight diseases - YouTube",
        "url": "https://www.youtube.com/watch?v=bJ_Zw99TZ_w&t=168s",
        "date": "Feb 14, 2023"
      },
      {
        "title": "A.I. Turns Its Artistry to Creating New Human Proteins - The New York Times",
        "url": "https://www.nytimes.com/2023/01/09/science/artificial-intelligence-proteins.html",
        "date": "Jan 09, 2023"
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      {
        "id": 69997,
        "title": "🧪 ⚛️ Diffuse Bio: Generative AI for protein design",
        "tagline": "At Diffuse, we build new therapeutics, vaccines, and enzymes with AI!",
        "body": "Hi 👋🏾 I’m Namrata, founder of ⚛️⚛️⚛️ **Diffuse Bio!** ⚛️⚛️⚛️\n\nAt Diffuse, we computationally design therapeutics, vaccines, and enzymes better, faster, and cheaper — but most importantly, we generate **molecules that simply can’t be designed with existing methods today**.\n\n### The Problem:\n\nProteins are macromolecules that mediate a significant fraction of the cellular processes that underlie life. An important task in bioengineering is designing proteins with specific 3D structures and chemical properties which enable targeted functions. \n\nSo far, computational protein design methods have had some success — but have enormous limitations, the primary one being **low success in downstream validation experiments**. These methods are also painfully slow and scale poorly.\n\n### What we do:\n\nFor the past several years, I’ve been working on **re-envisioning the computational protein design toolkit with AI** in my PhD and beyond, with the goal of overcoming these challenges. Some highlights are the first crystal structures of [AI-designed proteins](https://www.nature.com/articles/s41467-022-28313-9) (i.e. experimental validation) and the **first diffusion models** for [protein structure and sequence generation](https://nanand2.github.io/proteins). Below you can see one of our early models producing structures unconditionally from noise!\n\n![uploaded image](/media/?type=post&id=69997&key=user_uploads/459396/08cd90de-6450-4ebe-8873-a77d625e0ed1)\n\nNow, we’re **scaling up these methods** and **applying them to grand challenge problems in molecular design**. We’re able to handle a whole array of protein engineering tasks at the _push of a button_ — from loop redesign and sequence engineering, all the way to binder design and _de novo_ structure generation. \n\n### Curious to learn more?\n\nCheck out our coverage in the [**New York Times**](https://www.nytimes.com/2023/01/09/science/artificial-intelligence-proteins.html#:\\~:text=Namrata%20Anand%2C%20a%20former%20Stanford%20University%20researcher.%20She%20is%20now%20building%20a%20company%20in%20generative%20A.I.%20protein%20design) and [**NBC news**](http://bit.ly/3JjgVKL), and get in touch at [info@diffuse.bio](mailto:info@diffuse.bio)!\n\n### We’d love your help!\n\n* If you’re working on any protein or molecular engineering problem, we’d love to hear from you!\n* We’d love **intros to pharma and biotech companies** working on problems in protein therapeutics, antigen design, and enzyme design. \n* We’d also love intros to any companies (preferably early stage) doing **high-throughput protein characterization** **assays** (yeast display, phage display, etc).\n* Sign up [here](https://docs.google.com/forms/d/e/1FAIpQLSdamv0S3LB2cyVLJXT6QdCG2g71Lobwkw59qTYGullYgqg7bw/viewform?usp=sf_link) to **beta test** our first-gen protein design software!",
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        "votes": 65,
        "created_at": "2023-03-07T05:47:09.229Z"
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        "full_name": "Christopher Shelner",
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        "title": "Beyond the $12M: Revolutionizing Drug Formulation Development at Persist AI",
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        "date": "May 19, 2025"
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      {
        "title": "Persist AI Raises $4M in Seed Financing to Revolutionize Drug Formulation ",
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        "title": "Persist - We build long-lasting drugs 50% faster 💊",
        "tagline": "Drug formulations made by robotics and designed by AI",
        "body": "### **TLDR**\n\nPersist helps pharma make drug injections that last up to 1 year. \n\nUsing robotics & AI, we reduce a 5-year drug formulation process to \\~2 years.\n\n**Contact Us (**[**founders@persist-ai.com**](mailto:founders@persist-ai.com)**) for a case-study formulation**\n\nTo make injections we encapsulate drugs inside injectable microspheres made with FDA-approved materials.\n\n![uploaded image](/media/?type=post&id=69239&key=user_uploads/1094851/19542a20-d5f0-4ccd-9450-d6b8427a6b94)\n\n**_Left:_** _Image of a \\~37 um microsphere made by our robotics_\n\n**_Right:_** _A Schematic showing how encapsulated drugs are released over 1 year so patients don’t take as many injections._\n\n### 🤔**THE PROBLEM**\n\nFor chronic diseases, most patients prefer 1 injection/yr rather than multiple injections per week.\n\nHowever, making a long-lasting injection takes a lot of trial and error and the time between iterations is long.\n\nKey challenges include:\n\n* **Using manual work & intuition is slow**: Typical teams manually mix and match chemicals to optimize the amount of drug that’s loaded into the spheres and the rate of release of drug\n* **Trial and error is cumbersome:** Because changing one variable may have multiple effects \n* **Scale-up is unpredictable:** Even if something works at a small scale, batch-to-batch consistency during scale-up is uncertain because production is done in large reactors\n\n### 💡**OUR SOLUTION**\n\nWe utilize custom robotics and AI to solve the problems with building microspheres. \n\n* **We automatically mix & optimize formulations:** We use a closed-loop robotics + AI approach so there’s minimal manual work\n* **We reduce trial & error with AI predictions:** We generate 50x more data than most formulation teams and use that data to train AI. This unique data enables us to make better predictions than others.\n* **We build small batches, faster:** So we can QC batches more frequently and scale up predictably\n\n### ❤️**OUR ASKS**\n\nIntroduce us to friends who work in Pharma. Email [founders@persist-ai.com](mailto:founders@persist-ai.com) \n\n“Follow” us [on LinkedIn](https://www.linkedin.com/company/persist-ai/)",
        "url": "https://www.ycombinator.com/launches/I0l-persist-we-build-long-lasting-drugs-50-faster",
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        "created_at": "2023-02-13T16:43:58.890Z"
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    "id": 28131,
    "name": "Untether Labs",
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        "id": 70128,
        "title": "Untether Labs  ·  Smart scheduling for digital clinics",
        "tagline": "We help clinics schedule their doctors and patients, to improve margins and access to care.",
        "body": "Hey YC, this is @[@Aditya](https://linkedin.com/in/sharmaed) from [@UntetherLabs](https://untetherlabs.com/) launching!\n\n**TL;DR** Clinics are facing an existential problem - fix margins to survive. We’ve built a digital clinic, and seen the tech they need to improve margins. Now we’re bringing this tech back to other clinics. For our first customer, we’re projected to generate $2.5M in revenue.\n\n![uploaded image](/media/?type=post&id=70128&key=user_uploads/1154826/3a55bc0b-c7d4-4dde-8c7a-fb1ae202191c)\n\n# **🤯 PROBLEM · MARGIN**\n\n![uploaded image](/media/?type=post&id=70128&key=user_uploads/1154826/d963c99c-02d2-4450-a2ae-1c089cdfc873)\n\n**Doctors (MDs, nurses, therapists) spend less than 50% of their day seeing patients.** Yet you, as a patient, can’t get an appointment 4+ weeks out. Why? … archaic software.\n\n**Care models for digital clinics have evolved**. Care happens over calls, texts, at-home, in-person and over state lines covering insurance requirements. Scheduling the supply of doctors with the fluctuating patient demand is too complex for billion-dollar clinics to be coordinating out of spreadsheets. So while demand for healthcare has grown rapidly, **margins are poor**.\n\n# **💡 SOLUTION · SAAS**\n\nWe help clinics improve margins through an all-in-one tool that offers better scheduling, reporting, and forecasting.\n\n**Scheduling** to optimize doctors and appointments across specialties, regions, and insurance regulations:\n\n![uploaded image](/media/?type=post&id=70128&key=user_uploads/1154826/bb5c456b-6bd3-450f-97ef-22ec6b18dd3d)\n\n**Reporting**. One dashboard to track margin, patient demand, and doctor utilization.\n\n![uploaded image](/media/?type=post&id=70128&key=user_uploads/1154826/82445723-5549-4b51-96be-4fe4e323fc7c)\n\n**Forecasting** to help Clinics prepare for fluctuating demand, and scenarios.\n\n![](https://lh4.googleusercontent.com/zfBFMN1CovypldaZeRp2f-cQNnU5gntRFNhDA1ER14FlGtY7BaxdhyLRjGnOAJ5AhOPocejaKtfGdFcFFV4bxVGVyOyhMmTkKi_W4JGC-l3CbtvbfFbS68MBjtLaDbCGc5Pn7XR9YT-R1kJ2dA9NXR0)\n\n# **👥 TEAM · FOUNDER-MARKET FIT**\n\n[@Aditya](https://linkedin.com/in/sharmaed) is ex-Uber, ex-Headspace, Waterloo eng, and repeat founder. Team is filled with engineers who are ex-Uber, Meta, Apple, repeat founder.\n\n# **🫶 ASK**\n\nKnow someone in healthcare? Please tell them about us.\\\n[founders@untetherlabs.com](mailto:founders@untetherlabs.com)\n\n[UntetherLabs](https://untetherlabs.com/)",
        "url": "https://www.ycombinator.com/launches/IF6-untether-labs-smart-scheduling-for-digital-clinics",
        "votes": 168,
        "created_at": "2023-03-10T04:29:57.386Z"
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    "id": 28158,
    "name": "Adventris Pharmaceuticals",
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    "long_description": "Adventris makes cancer vaccines. Our platform solves the problem of targeting poorly immunogenic oncogenes. Our first \"off-the-shelf\" vaccine targets KRAS, the most common cancer oncogene. In the long run, we envision a world where every adult receives our pan-cancer vaccines annually – preventing the majority of cancer deaths.\r\n\r\nIf you are interested in learning more about our approach to treat and prevent cancer, please reach out to us at contact@adventris.com",
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        "full_name": "Mark Yarchoan",
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        "founder_bio": "Mark Yarchoan, M.D, is an Associate Professor of Medical Oncology at Johns Hopkins. Dr. Yarchoan runs an NCI-funded laboratory focused on developing novel immunotherapies, with a focus on cancer vaccines. He has led multiple international clinical trials of immunotherapy agents including neoantigen-targeted cancer vaccines. Dr. Yarchoan has received multiple honors, including the ASCO Young Investigator Award and the ASCO Career Development Award.",
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        "id": 68893,
        "title": "Adventris Pharmaceuticals - We make cancer vaccines!",
        "tagline": "By teaching our body’s immune system to recognize and kill the mutations that cause cancer we can eliminate the majority of all cancer deaths.",
        "body": "**ABOUT ADVENTRIS**\n\nAdventris makes cancer vaccines. By teaching our body’s immune system to recognize and kill the mutations that cause cancer, we can eliminate the majority of all cancer deaths.\n\n**OUR SCIENCE**\n\nA normal cell turns into cancer when it develops a mutation that makes it grow aggressively. Surprisingly, a small number of these mutations account for the vast majority of cancer deaths. The immune system usually doesn’t recognize these mutations, but our technology platform enables us to train the immune system to recognize and attack these cancers. Our first product is a vaccine for the treatment of lung cancer that targets the KRAS mutation, the most common mutation in cancer, accounting for about 25-30% of all cancer deaths. In the long run, we envision a world where every adult receives our vaccines annually – preventing the majority of cancer deaths.\n\n**OUR TEAM** \n\nOur team includes some of the leading cancer vaccine experts in the world including: our Chief Medical Officer, Dr. Mark Yarchoan (principal investigator of multiple international cancer vaccine clinical trials) and our Scientific Co-Founder, Dr. Liz Jaffee. Our team is led by our Chief Executive Officer, Jen Herbach, who has more than a decade of biotech industry experience including with Amunix (the second largest oncology pre-clinical stage acquisition).\n\n![uploaded image](/media/?type=post&id=68893&key=user_uploads/1145057/259fde86-331d-4477-83f2-f7f6e5461adf)\n\n**INTERESTED IN LEARNING MORE** \n\nIf you are interested in learning more about our approach to treat and prevent cancer, please reach out to us at [contact@adventrispharma.com](mailto:contact@adventrispharma.com)",
        "url": "https://www.ycombinator.com/launches/HvB-adventris-pharmaceuticals-we-make-cancer-vaccines",
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        "created_at": "2023-01-31T19:18:22.720Z"
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    "all_locations": "Munich, BY, Germany",
    "long_description": "Invitris radically simplifies how we create novel biological drugs. Our patent-pending technology platform turns DNA into synthetic proteins and was recently featured in the Science magazine. It makes creating new drugs >10,000x more efficient at <100x lower costs of material.\r\n\r\nOur killer application is enabling the newest generation of synthetic bacteriophages to combat antibiotic-resistant infections, which are threatening to cause more deaths than all cancers combined. ",
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    "subindustry": "Healthcare -> Drug Discovery and Delivery",
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        "full_name": "Patrick Grossmann",
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        "founder_bio": "My hearts are entrepreneurship & science, originally trained as bioinformatician at the Harvard Medical School and ETH Zurich amongst other schools. I earned a PhD and MBA, and highly enjoy opportunities to improve the world with science-based products. I co-founded Invitris to radically simplify drug development to stop antibiotic-resistance, which has the potential to become the dominating health-economic challenge in this century.",
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        "full_name": "Kilian Vogele",
        "title": "Founder",
        "founder_bio": "Kilian, the CTO and co-founder of Invitris, is responsible for driving innovation and development within the company. With a PhD in synthetic biology from TUM and a track record of 5 patents, his expertise has been instrumental in creating Invitris' groundbreaking technology.",
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    "news": [
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        "title": "Innovation and Start-up Center Biotechnology (IZB) welcomes Invitris - Innovations- und Gründerzentrum Biotechnologie IZB",
        "url": "https://www.izb-online.de/en/media-library/press-release/press-release-izb-martinsried/innovation-and-start-up-center-biotechnology-izb-welcomes-invitris/",
        "date": "Feb 28, 2023"
      },
      {
        "title": "    moma future: Viren gegen Bakterien - ZDFheute",
        "url": "https://www.zdf.de/nachrichten/zdf-morgenmagazin/moma-future-viren-gegen-bakterien-100.html",
        "date": "Feb 06, 2023"
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        "title": "Bacteriophages the Modern Way | Science | AAAS",
        "url": "https://www.science.org/content/blog-post/bacteriophages-modern-way",
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        "id": 70166,
        "title": "INVITRIS - Simplifying drug development & manufacturing",
        "tagline": "Our biotech platform creates the newest drugs in shortest time",
        "body": "### **Tl;dr**\n\nAt Invitris we're creating **protein-based drugs**, such as the next generation of antibiotics. To do this at scale, we created a platform called **Phactory**, that can turn DNA into synthetic proteins. Phactory makes the development of novel protein-based drugs 10,000x more efficient and cuts down the material costs by 100x.\\\n—\n\nHi everyone! This is [**Kilian** ](https://www.linkedin.com/in/kilian-vogele-21a321183/)and [**Patrick**](https://www.linkedin.com/in/patrickgrossmannbioinformatics/) from INVITRIS, a Munich-based life science company.\n\n![uploaded image](/media/?type=post&id=70166&key=user_uploads/89898/df875741-b00f-4ba8-b56f-48cee390fbf1)\n\n# **Protein-based drugs are powerful but expensive**\n\nWhile only 2% of all treatments are based on protein-based drugs, these drugs generate 40% of the total drug revenue. One of the reasons why they are so expensive is that you need living cells, like bacteria, to produce them. **Handling living cells is error-prone** and **scales terribly** because you have to establish new processes for every new drug.\n\n# **One platform to synthesize them all**\n\nOur universal biotech platform, **Phactory**, takes DNA and uses it to synthesize proteins in a single step. It mimics the molecular machinery you find in living cells but can be stored in conventional vessels.\n\n![uploaded image](/media/?type=post&id=70166&key=user_uploads/1163538/e720da18-e212-42d5-9a13-a5e53fbecc80)\n\nThis platform is based on Kilian’s groundbreaking research during his PhD, which was honored in the famous magazine [**Science** ](https://www.science.org/content/blog-post/bacteriophages-modern-way)and was also featured on [**German national TV**](https://www.zdf.de/nachrichten/zdf-morgenmagazin/moma-future-viren-gegen-bakterien-100.html)!\n\nOur primary focus area is **bacteriophages** - natural viruses that cannot attack humans but bacteria, even when those have become resistant to antibiotics. We are therefore tackling a problem that is expected to cause 25% more deaths per year than all cancers combined in the next decades: [multidrug-resistant infections](https://www.stopamr.eu/blog/new-studies/no-more-wake-up-calls-amr-is-now-the-leading-cause-of-death-worldwide/).\n\n# **We believe in collaboration and partnering!**\n\nBuilding new protein-based products is hard. We can help each other.\n\n* We are constantly looking for **biopharmaceutical partners** seeking innovation!\n* Intros to companies developing antibacterial products in animal health or agriculture are also welcome!\n* If you **struggle with protein synthesis** in general - we can help!\n* Know anyone who is experienced in scaling cell-free expression under GMP? Reach out!\n\nAny outreach is highly appreciated:<https://invitris.com/contact/>\n\n![uploaded image](/media/?type=post&id=70166&key=user_uploads/1163538/d016e457-3a55-4651-a7f6-6308d85772cb)\n\n",
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        "votes": 45,
        "created_at": "2023-03-10T22:48:50.259Z"
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    "id": 28160,
    "name": "Finni Health",
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    "long_description": "Our platform is simple: we provide everything providers need to go independent, from scheduling and billing to marketing and client support.",
    "one_liner": "Empowering Autism Care Providers to Go Independent",
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    "industry": "Healthcare",
    "subindustry": "Healthcare -> Consumer Health and Wellness",
    "launched_at": 1673586223,
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    "stage": "Growth",
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    "year_founded": 2022,
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      "name": "Diana Hu",
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        "full_name": "Bucky Khan",
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        "full_name": "Yilun Chen",
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        "title": "Full-Stack Software Developer 2",
        "url": "https://www.ycombinator.com/companies/finni-health/jobs/ph1Y4Dp-full-stack-software-developer-2",
        "location": "San Francisco, CA, US / Toronto, ON, CA / Toronto, Ontario, CA / Remote (US; CA)",
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        "role_type": "Full stack",
        "salary_range": "$120K - $160K",
        "equity_range": "0.05% - 0.10%",
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        "visa": "Will sponsor",
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        "title": "Senior Full-Stack Software Developer",
        "url": "https://www.ycombinator.com/companies/finni-health/jobs/15yP0bE-senior-full-stack-software-developer",
        "location": "US Remote / Remote (US)",
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        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $210K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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      },
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        "title": "Head of Payor Strategy",
        "url": "https://www.ycombinator.com/companies/finni-health/jobs/DaMe5bF-head-of-payor-strategy",
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        "title": "Chief of Staff",
        "url": "https://www.ycombinator.com/companies/finni-health/jobs/VBPDtlL-chief-of-staff",
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        "salary_range": "$150K - $200K",
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        "experience": "8+ years",
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      {
        "id": 106775,
        "title": "Payroll Manager",
        "url": "https://www.ycombinator.com/companies/finni-health/jobs/lcE7BnM-payroll-manager",
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      {
        "id": 106777,
        "title": "Senior FP&A Analyst – Clinic Finance & Business Partner",
        "url": "https://www.ycombinator.com/companies/finni-health/jobs/Dbuo4sq-senior-fp-a-analyst-clinic-finance-business-partner",
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        "id": 107966,
        "title": "Senior Manager, Practice Operations",
        "url": "https://www.ycombinator.com/companies/finni-health/jobs/z2WYCdj-senior-manager-practice-operations",
        "location": "Remote (US)",
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        "title": "Finni Health Raises $3.2M to Build the  Provider-Centric Future of Autism Care",
        "url": "https://www.finnihealth.com/finni-health-raises-3m-to-build-the-provider-centric-future-of-autism-care",
        "date": "Jun 11, 2023"
      },
      {
        "title": "Meet the Canadian startups participating in Y Combinator’s Winter 2023 Demo Day",
        "url": "https://betakit.com/meet-the-canadian-startups-participating-in-y-combinators-winter-2023-demo-day/",
        "date": "Apr 06, 2023"
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      {
        "id": 69595,
        "title": "Finni Health - Platform for autism care providers 🦊",
        "tagline": "Finni Health empowers autism care providers to start, run, and grow their practices",
        "body": "We are [Bucky](https://www.linkedin.com/in/bukhtarkhan/) and [Yilun](https://www.linkedin.com/in/yilunc/), and we are excited to share how we are democratizing access to autism care. \n\n**tl;dr:** Finni Health helps autism care providers start, run, and grow their practices. We launched 7 months ago and already have $30K in monthly revenue growing 50% per month.\n\nToday, we have providers in New Mexico, South Carolina, Georgia, Illinois and Virginia. Soon, we will be across the country!\n\n# **Our Story**\n\nWe connected over a shared passion for improving access to healthcare. Bucky grew up providing in-home daycare to children with different abilities for over a decade with his mom. After sharing this personal story, Yilun suggested “What if providers had a platform that automated their operations and billing”. That idea got us our start, and within a couple weeks, we partnered with our first provider, Monique. \n\n![uploaded image](/media/?type=post&id=69595&key=user_uploads/307687/131f1c0b-b7c2-4ce5-8f29-43633dc37e78)\n\n# **The Problem**\n\nThe autism care industry is growing rapidly due to increasing diagnosis rates and landmark legislation requiring payors to cover care in every state. This has caused private equity to take over the market, with over 200 M&A deals in the past decade. This cash grab not only hurts providers, who are overworked and underpaid, it also hurts quality of care. Providers want a world where they can have the freedom to focus on their patients, but starting their own practice is costly. \n\n# **Our Solution**\n\nWe built the only platform designed for autism care providers to start, run, and grow their business. Providers with Finni can launch their own practice in 2 weeks. When they join, they instantly get access to our insurance network. From there, our platform allows them to manage patient data, schedule appointments, and get paid.\n\n![uploaded image](/media/?type=post&id=69595&key=user_uploads/307687/4df36730-8e4a-418c-9ee8-7fc85443c1b5)\n\n![uploaded image](/media/?type=post&id=69595&key=user_uploads/307687/ffdc08b0-4ca2-45f8-880e-0a0245694107)\n\n**Asks**\n\n* ABA Providers! If you have thought of starting your own practice, we want to talk to you! You can learn more here: <https://www.finnihealth.com/providers>\n* If you are an expert in insurance contracting, we would love to understand how to scale insurance contracts nation-wide",
        "url": "https://www.ycombinator.com/launches/I6V-finni-health-platform-for-autism-care-providers",
        "votes": 63,
        "created_at": "2023-02-23T15:12:57.896Z"
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    "name": "Modulari-T",
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    "all_locations": "Montreal, QC, Canada; San Francisco, CA, USA",
    "long_description": "Cell and gene therapy promises to one day cure any disease; Modulari-T’s Platform produces the tools to fulfill that promise.\r\n\r\nModulari-T has designed a new family of synthetic genes that can reprogram cells to better sense their environment and modify their behavior accordingly. This can be used to engineer immune cells to efficiently recognize and kill cancer cells or to create stem cells able to regenerate any tissue.\r\n\r\nModulari-T looks to expand its technology to reach every area of cell therapy and become the platform of reference for cell engineering.",
    "one_liner": "We teach your immune system to attack and cure cancer",
    "team_size": 4,
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    "subindustry": "Healthcare -> Therapeutics",
    "launched_at": 1675126815,
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        "id": 68886,
        "title": "Modulari-T 🧬 Unleash the full power of the immune system",
        "tagline": "We teach your immune system to attack and cure cancer.",
        "body": "# Modulari-T AWAY!\n\nHi YC, this is [@David](https://www.linkedin.com/in/david-white-modulari-t/) and [@Stephanie](https://www.linkedin.com/in/stephmok/) from [@Modulari-T](https://www.linkedin.com/company/modulari-t-bio/) launching!\n\n### **WHAT WE DO**\n\nModulari-T is a cell therapy company that can teach your immune system to attack and cure cancer.\n\n \n\nWe are a dynamic group of scientists bringing together protein engineering, synthetic biology, and immunology to create the world’s most powerful cell programming platform.\n\n \n\nBy introducing our optimized gene sequences inside immune cells, we can create treatments that are 2x potent as chemotherapy, but that avoids 90% of harmful side-effects.\n\n \n\nToday, cell therapy has a high failure rate and is difficult to produce, leaving 20M patients without hope. Modulari-T has the technology to fix this, bring hope to cancer patients, and supercharge the cell therapy market to grow beyond $50B by the end of the decade.\n\n \n\n### **HOW YOU CAN HELP**\n\nConnect us with people in the ecosystem! Do you know anyone working in cell therapy or oncology? We want to talk to them, to know about their pain points - academic, biotech/pharma or physicians.\n\n[We are hiring!](https://modulari-t.breezy.hr/) Are you a synthetic biologist or immunologist? Ready to join a new adventure? Become part of the Modulari-T squad (Mod Squad!) in beautiful Montreal!\n\n### **THE SCIENCE**:\n\nWe have built a platform to produce a new type of receptor, the Modular Actuation Receptor Complex or MARC, that mimics the modular architecture of immune receptors. These receptors can be used to reprogram immune cells to recognize cancer antigens and direct an immune response against tumor cells. Compared to CAR-T cells, MARCs have twice the tumor clearing power and avoid causing immune exhaustion to ensure a long lasting response.\n\n![](https://lh6.googleusercontent.com/ItKO7egaIuynMGKcNjoT2YMqkANZ6E6oNxe5RyIisJ47KOaWhchZU9NpFHXfqkGu_EIB6--huJ4KOnT_5IqHMQut2czid5T8krpDXcZ3iSYTSEL9y2tyAg2IfOYSLic_Uaiz7dOJbcH6dELlc-MPEA)\n\nThe MARC’s unique architecture allows us to link any extracellular cue with the required signalling outputs across different pathways to achieve therapeutic success.\n\n![uploaded image](/media/?type=post&id=68886&key=user_uploads/1161771/abbed6b1-a7be-43e4-821c-8daa69fff47a)\n\nOncology is only the first step; the MARC platform is applicable to autoimmunity, neurology, regenerative medicine and more!\n\n### **HOW WE CAN HELP YOU**\n\nAre you a Cell Therapy company? Let us show you how Modulari-T’s MARC platform can help your development. Our platform can do anything but we can’t do everything alone. That’s why we want to partner with you and bring hope to as many patients as we can.\n\n### Thank you!\n\n![uploaded image](/media/?type=post&id=68886&key=user_uploads/1161771/773beb5d-3dbb-4905-8b5e-c5e453a33517)\n\n",
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        "title": "Pando Bioscience: Empowering Pharma with AI-Optimized Enzymes",
        "tagline": "Unlocking the full potential of enzymes to drive down costs and boost productivity in pharma",
        "body": "Pando is an AI-driven synthetic biology company revolutionizing enzyme engineering for pharma. Our ultra-high-throughput screening platform screens 1000 times more enzymes, 75% faster, and 80% cheaper than traditional methods. This empowers our generative AI to optimize enzymes across multiple properties, delivering high-performing, tailored enzymes that cut costs and enhance efficiency.\n\n### The Problem\n\nEnzymes play a crucial role in driving market growth and profitability in the pharmaceutical industries. Inefficient or underutilized enzymes can lead to significant financial losses and missed opportunities. Therefore, developing optimized enzymes that possess a balance of key properties becomes a top priority but remains challenging and time-consuming.\n\n### Our Solution\n\nOur AI model designs enzymes with specific mutations that enhance multiple properties simultaneously. These AI-generated enzymes are tested using our unique ultra-high-throughput one-pot screening platform. This platform converts diverse biological signals into abundant and quantifiable data under various conditions. By integrating AI design with advanced screening, we’ve reduced the design-build-test-learn cycle to just one month. We efficiently evaluate enzyme performance across different criteria tackling the challenge of multi-property optimization.\n\nAt Pando, we help pharma companies improve existing enzymes and discover new ones, cutting costs and boosting productivity. We are also developing our own proprietary enzyme assets.\n\n### Our Team\n\nWe are experts in the field. @Will joined the synthetic biology unicorn Ginkgo Bioworks as an early employee. @Yang spent 6 years at Harvard Medical School before joining Ginkgo. AI-guided enzyme engineering is in our wheelhouse.\n\n### Want to be part of it?\n\nIf you are from a **pharma, diagnostic, or biotech company** and are interested in taking enzyme engineering to the next level, please don't hesitate to reach out to us at [founders@pando.bio](mailto:founders@pando.bio).\n\nThank you!\n\n![uploaded image](/media/?type=post&id=69169&key=user_uploads/875330/303f90f4-0887-4557-92b3-47f2bd20a39f)\n\n",
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        "title": "Stellar Sleep 💤 Break the insomnia cycle tonight",
        "tagline": "We help people break the insomnia cycle using psychology",
        "body": "**tl;dr: We built a mobile app that helps people with insomnia get better sleep using psychology**\n\n\\*\\*25 million Americans with chronic insomnia are getting inadequate and superficial care advice (e.g. cutting coffee, meditation etc.), when in reality, their sleep problems are often driven by deeper psychological challenges like unresolved anxiety. Stellar Sleep uses psychology to help these people break the insomnia cycle.\\*\\*\\\n**—**\n\nHi, we’re George and Edrei, the team behind Stellar Sleep\n\nGeorge was previously a manager at McKinsey, leading consulting teams with healthcare clients. His insomnia led to him quantifying his sleep for the last 7 years and making questionable life choices like wearing orange (blue-light blocking) goggles to evening social events.\n\nEdrei was previously an engineering lead at Google, leading software teams across health and AI. His chronic insomnia led to him spending hundreds of dollars on brain wave scans and sleep tech, and wasting hundreds of hours browsing HN in the middle of the night.\n\n# **So, why are we focusing on chronic insomnia? 🧐**\n\n![](https://lh5.googleusercontent.com/H3iRbRYdpmoTvv9sxln9JwrdkMJNYu0l9UYuzBn5SVfvYD-QXDZ5LQjlAB3YDaY0exooLN57uYoPqXwdV1SOhaB1TL7KTvcLuOpENaoxYmUq9mdv8Tv1tYhLCqtobIidFoJ4TtUAXYJh0gbKGqGp1w)\n\nAround 25 million Americans suffer from insomnia (can’t fall/stay asleep) for 3+ nights per week for 3 months or longer, which the medical community calls “chronic insomnia”. Unfortunately, people with chronic insomnia often receive inadequate care advice. They’re told to try cutting back on coffee, meditate more, or make their bedroom darker, when research shows that chronic insomnia is often rooted in deeper, psychological issues (e.g., financial anxiety, workplace stress…etc.).\n\nThe need for a solution is urgent. People with chronic insomnia are at a higher risk for mental health disorders (2x as likely), physical health issues (1.7x more likely to suffer from a heart attack), and decreased productivity in the workplace. A RAND study found that the economic cost of poor sleep in the U.S. was $411 billion a year, representing 2.3% of GDP. The situation has worsened since then, particularly with the increased stress and anxiety brought on by recent global events, and the shift to hybrid/remote work.\n\nHere’s how one of our customers, Victoria, describes chronic insomnia in her own words:\n\n> _I’ve had insomnia for about 5 years. I was at the point of desperation, willing to try anything. Insomnia feels very lonely. It’s 2am and your spouse is asleep. You’re very alone with your anxious thoughts. About the mortgage rates changing. About all the things you have to do tomorrow without any sleep. It feels like you’re trapped and alone._\n>\n> _After starting Stellar Sleep I’ve now started sleeping better for the first time in 5 years. I’ve gotten hope back that I can be normal. Most people who sleep well don’t worry about sleep. A good night’s sleep should just be normal._\n\n# **Stellar Sleep uses psychology to help chronic insomniacs get their lives back💤**\n\nStellar Sleep uses psychology to confront the real root causes of chronic insomnia. We start by understanding a person’s immediate sleep-related challenges and providing them with practical strategies for dealing with them. Then, we drill down on the underlying psychological drivers of a person’s chronic insomnia and create a personalized program to resolve those drivers one by one. \n\nThe first part of this process typically takes about three months, and the second part of this process can be a multi-year-long commitment. Participants spend 5-10 minutes per day completing modules in the Stellar Sleep app. \n\nOur product works. We have strong clinical data (measured by ISI) showing best-in-class efficacy and have a year-long clinical study running with Harvard Medical School / Brigham & Women’s Hospital paid for by the State of Massachusetts and the US Department of Commerce.\n\nWe publicly launched Stellar Sleep last August and reached $1 million in ARR (annual run rate) within just 9 months, proving how much of a “hair on fire” problem this is for chronic insomniacs. We hear from our users that they're exhausted from receiving generic, superficial solutions that don’t work. Now, they’ve finally found a product that treats their chronic sleep issues with the gravity and seriousness it warrants.\n\n![uploaded image](/media/?type=post&id=73715&key=user_uploads/371831/f29a1f49-a8f6-47c7-8b1b-60fa92486764)\n\n# **Our asks**\n\n* [Try out our chronic insomnia app](https://stellarsleep.com/?utm_source=launch&utm_campaign=launch-yc) if you have sleep issues\n* Share our website with anyone you know with sleep issues, and encourage them to take our quiz \n* Please share this post (many people with sleep issues don’t talk about it)\n* Connect us with benefits leaders at companies with 250+ employees and with regional health plans",
        "url": "https://www.ycombinator.com/launches/JAx-stellar-sleep-break-the-insomnia-cycle-tonight",
        "votes": 81,
        "created_at": "2023-08-02T16:22:13.477Z"
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    "name": "Remy",
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    "long_description": "Remy automates insurance-related tasks for practices, starting with phone calls to verify patient benefits and check on claims.",
    "one_liner": "Making it simpler for medical clinics to work with insurance",
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    "status": "Inactive",
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    "city": "San Francisco",
    "country": "US",
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      "name": "Tom Blomfield",
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      {
        "user_id": 1306652,
        "full_name": "Sten Sjöberg",
        "title": "Founder",
        "founder_bio": "I'm co-founder and CEO at Remy Security. Before Remy, I was a security automation PM at Microsoft's security team. My team owned the product security review process including secure development lifecycle assessments, design reviews and penetration testing. Before Microsoft, I took all the security classes they offered to Princeton CS undergrads and published research in the Symposium on Usable Privacy and Security (SOUPS).",
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        "user_id": 1360703,
        "full_name": "Kevin Kim",
        "title": "Founder",
        "founder_bio": "Founder @ Remy Security. Previously SWE at ExtraHop, Rice CS.",
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        "linkedin_url": "https://linkedin.com/in/kev3522",
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      {
        "id": 72542,
        "title": "Remy Security - AI-powered security design reviews",
        "tagline": "Reduce the cost and effort of proactively securing product.",
        "body": "Hi everyone! We’re [Sten](https://www.linkedin.com/in/stensjoberg/) and [Kevin](https://www.linkedin.com/in/minhwan/), founders of [Remy Security](https://www.remysec.com).\n\n**Remy helps security teams conduct security design reviews more quickly and effectively.** Using LLMs to analyze the design documents, Remy generates targeted insights and questions to raise to the authors.\n\n### Problem\n\nSecurity design reviews are essential during the software development cycle as they mitigate risks before they become problems down the line. It’s more expensive to address breaches than it is to look for potential weaknesses at design time.\n\n**It’s difficult and expensive to review designs.** The types of threats that the reviewer must consider are endless, and it’s easy to miss key risk areas even for experts. Security team and engineering team members must meet in order to discuss the design’s context and the risks that need to be addressed. Such meetings are expensive, time-consuming, and often disorganized.\n\n**Security teams are understaffed.** A 1:60 ratio is common for headcount between security and engineering staff. With such a skew, security teams often struggle to keep up with requests, forcing them to skip reviews or delay the development lifecycle.\n\n### Solution\n\nRemy finds designs that the security team should be aware of and makes a first pass at reviewing them using LLMs. It hands off its assessment to members of the security team, who make the final judgements on what questions/comments need to be raised in the document.\n\nUsers can view a list of designs to review, view their risk levels, and prioritize the most important ones to work on.\n\n![uploaded image](/media/?type=post&id=72542&key=user_uploads/1360703/5de6450e-ab7f-4fab-ae7f-8c1e9816da45)\n\nFor each document, Remy generates questions and feedback for you to send to the authors. Leveraging LLMs, Remy provides targeted insights into the specific risks of each design.\n\n![uploaded image](/media/?type=post&id=72542&key=user_uploads/1360703/767b3d20-1fb2-4a06-84e0-8c60a0f7aeac)\n\n![uploaded image](/media/?type=post&id=72542&key=user_uploads/1360703/d13cf468-9a97-446b-83e3-8d3aa3a4a254)\n\n### Asks\n\n* Do you work with security reviews? [Get in touch and let us know how we can help](https://www.notion.so/9d05093eec4642b7a433edad066b35ba?pvs=21) or [sign up for early access](https://remysec.com/early-access)!\n* Know someone who does security reviews? Please share this launch with them!",
        "url": "https://www.ycombinator.com/launches/Is2-remy-security-ai-powered-security-design-reviews",
        "votes": 30,
        "created_at": "2023-06-26T15:44:30.053Z"
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    "id": 28802,
    "name": "Sohar Health",
    "slug": "sohar-health",
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    "website": "https://www.soharhealth.com",
    "all_locations": "New York City, NY, USA; Remote",
    "long_description": "Sohar Health is an AI-driven front-end RCM solution that transforms insurance verification processes for healthcare providers, enabling faster patient conversions and reducing administrative workloads.  With a 95% automation rate, our API-first platform seamlessly integrates into existing workflows to provide real-time claim accuracy and eligibility checks. \r\nKey performance metrics showcase the power of our technology: Median latency of just 6 seconds, ensuring real-time eligibility; over 90% of checks returned within 30 seconds for increased patient conversion; 96% accuracy in identifying and verifying benefits details; Industry-leading 99% accuracy for eligibility determination; >90% carve-out detection rate, mitigating surprise billing risks; a 60% success rate with our Insurance Discovery API, helping identify coverage for self-pay patients.\r\n\r\nOur customers include outpatient clinics, specialty practices, and digital health platforms looking to streamline front-end claim management. By reducing errors and maximizing clean claim submissions, Sohar Health empowers healthcare organizations to convert and retain more patients, reduce operating costs, and increase their top-line revenue.",
    "one_liner": "AI-powered insurance verification to boost patient conversion.",
    "team_size": 8,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1688557144,
    "tags": [
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      "Digital Health",
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      "Data Science",
      "AI"
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    "batch": "Summer 2023",
    "status": "Acquired",
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      "Healthcare IT"
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    "regions": [
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      "America / Canada",
      "Remote",
      "Fully Remote"
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    "stage": "Growth",
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      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "MEET THE BRAIN & THE HEART OF SOHAR HEALTHSohar Health is the marriage of an engineer’s problem-solving brain and a physician’s healing heart, connecting healthcare providers & payers in a more integrated and centralized way.LUCAS GORDONEx-CTO & CISO of Quit Genius (YC W18)Most recently CTO of Quit Genius, the world’s leading digital clinic for substance addictions, Lucas is uniquely positioned to solve benefits integration problems using all he’s learned along his career journey. He’s one of a handful of people in this market who’s experienced firsthand the pain caused by this problem, and the value of solving it. Lucas holds an MSc in Computer Science from the University of London. He’s designed and built systems to integrate with 100+ employers, including integrations with Evernorth and a Fortune 10 customer. At Quit Genius, he also assumed the role of Chief Information Security Officer, leading the company through SOC-2 compliance audits, achieving HITRUST certification, and attended the Y Combinator program in 2018–helping secure over $80M investment funding from seed to Series-B. It was there he met his co-founder, and their aligned passion for healthcare and technology, combined with their deep knowledge of inherent pain points, sparked the idea that became Sohar Health.DR. ASHISH (ASH) MANDAVIAMedical Doctor & Digital Health InnovatorA former National Healthcare System doctor in the UK, Ash was inspired to jump into the world of startups seven years ago, initially as a product manager, using his clinical knowledge to support a team of engineers to create and build a piece of triage software for ERs in the UK. He moved on to a medical education technology company as employee one and helped scale the organization as product and services director. There, he found a love for the commercial side and moved into business development.This led Ash to taking on the role as EMEA Commercial Director of Quit Genius (YC W18), where he led a team to deliver commercial B2B sales, client success, and partnerships with large employers, private healthcare insurers, and public health systems. It was there he discovered inherent pain points related to integrating with these types of payers, slowing access for people getting the help they need.Most recently, Ash was a strategic consultant  at Simon Kucher and Partners, focusing on market access and reimbursement for Digital Health solutions across the UK, Europe, and the US."
      },
      {
        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "The ethos and ambition towards growth and becoming a $1b+ company at Quit Genius was a strong motivator to take Sohar Health through the YC accelerator program. The company has accelerated by 12 months in a 10 week period and this is mainly due to the strong guidance from our group partners and accountability that we have shown to our peers and colleagues. We have developed significant traction among customers and our product is loved by our customers. YC has pushed us to become the most accurate eligibility verification tool in the behavioral health market and we now run upwards of 60,000 eligibility checks per month. The fundraising process has moved faster than our initial expectations and we feel that the feedback and support given prior to the raise has allowed us to enter those conversations with more confidence and purpose. "
      },
      {
        "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?",
        "answer": "From in-person events across the bay area to the founder matching program, we have managed to embed ourselves in the YC community and learn from this amazing network of founders. As we complete our Seed round, we hope to follow the guidance laid out in the post-batch manual and Series A fundraising guide to continue our growth trajectory and our journey towards becoming a unicorn in the health tech space."
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "Lucas and I caught up at the start of 2023 when he had exited Quit Genius (YC W18) and I was on paternity leave from my strategy consulting role. We had discussed this burning platform issue on several occasion and recognized that we were in a unique position to solve it. We initially focused on employer eligibility verification for digital health companies, but quickly became aware, through customer discovery, of an even greater challenge to tackle in Real Time Eligibility (RTE) and Coverage of Benefits (COB) determination in the behavioral health space. This was an inflection point and gave us the confidence to pursue a pre-seed round, led by Concept Ventures and allowed us to build our eligibility verification tool and automated AI coding feature. We gained further proof points of the value of our product with strong initial customer traction, booking $118K ARR in the past two months."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "One of the biggest reasons behavioral health companies can’t grow faster is that 11% of every patient get denied for insurance reimbursement which directly hits revenue, employee cost and marketing cost. A large proportion of these claims denials are related to eligibility inaccuracies. With our 99% accurate eligibility checker, we reduce these denials to 2%.To determine a patient’s eligibility for a behavioral health service, you could use an existing electronic checker or amass a manual administrative team. Standard automated eligibility checks in the market can only achieve a 50 - 60% accuracy level for mental and behavioral health. The reason these vendors don’t work is that they do not take account of payer carve outs - when insurance companies carve out behavioral health coverage to third party insurers.With our deep understanding of the complex integrations within the payer ecosystem, we can get our automated accuracy check up to 99% and essentially significantly reduce the chance that a patient’s claim will be denied by their insurer."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "We believe in patients accessing healthcare without limits.What if providers were free from the barriers & burdens that waste money and time, and instead could focus on the things that help patients regain and maintain their health? What if signing up for appointments with service providers were easier to manage and integrate? What if there was an easy, cost-effective way to simplify providers’ operations? What if providers had more time to deliver excellent care and weren’t focusing on how to work with insurers? Sohar Health is the marriage of an engineer’s problem-solving brain and a physician’s healing heart, connecting healthcare providers & payers in a more integrated and centralized way.\\We’ve felt the devastating effects of ineffective healthcare on a very personal level, and we have a focused vision of getting better care to more people, quickly and seamlessly. What if clinical services, delivered in bricks and mortar practices or remotely, were able to be the lifeline of hope they were intended to be for millions of patients across the US? Smoother integration.Fewer barriers.Less waste.Improved health.Greater productivity.Effortless connection between payers & providers.What if?It’s time to fully connect and integrate via Sohar’s clearing house for the modern healthcare system"
      }
    ],
    "url": "https://www.ycombinator.com/companies/sohar-health",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/sohar-health.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/sohar-health/",
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      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
      {
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        "full_name": "Dr Ashish Mandavia MD",
        "title": "Founder",
        "founder_bio": "I am a health-tech entrepreneur, with a clinical background, and the CEO at Sohar Health, automating insurance eligibility verifications. With 8+ years of combined experience in health-related startups, strategy consulting, and clinical practice, I have a unique perspective and skill set to drive innovation and growth in the digital health and technology space across EMEA and the US.",
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        "linkedin_url": "https://linkedin.com/in/ashishmandavia",
        "x_url": "https://twitter.com/ash_soharhealth",
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        "full_name": "Lucas Gordon",
        "title": "Founder",
        "founder_bio": "CTO and cofounder of Sohar Health (S23)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/lucas-gordon-48ba6439",
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    "news": [
      {
        "title": "Zocdoc acquires health tech company Sohar Health for automated benefits eligibility checks",
        "url": "https://www.fiercehealthcare.com/ai-and-machine-learning/zodoc-acquires-health-tech-company-sohar-health-automated-benefits",
        "date": "Oct 14, 2026"
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      {
        "id": 72772,
        "title": "🧠 Sohar Health: AI-powered eligibility checks, VoBs and insurance discovery for behavioral health",
        "tagline": "Unleash your behavioral health company's potential with targeted eligibility verification, and AI-powered Verification of Benefits (VoB) to drive revenue from health payers.",
        "body": "### \n\n![uploaded image](/media/?type=post&id=72772&key=user_uploads/1376962/82bc99d7-9218-4ecd-b405-2aad0c12fbd7)\n\n### ⚡**TL;DR**\n\nBehavioral health providers are investing significant resources into expensive manual operations teams to determine if patients are eligible for care, in-network, based on their payer contracts, and determine the patient’s responsibility towards their healthcare reimbursement. Enter Sohar Health. Our API-based platform streamlines insurance eligibility verification and offers AI-powered Verification of Benefits (VoB) and insurance discovery, automating manual workflows, increasing patient intake, and generating more revenue. Experience the power of seamless integration and unleash the full potential of your behavioral health company with Sohar Health.\n\n### **🤯 The problem**\n\nImproving front end RCM (revenue cycle management) accuracy is crucial as 85% of related-denied claims (worth $40 billion) are preventable. However, determining the eligibility, network status, and pricing transparency for patients is a challenge due to complex relationships between payers and the limited data exchange standards in healthcare IT ecosystem. These exchanges are costly, time-consuming, and divert engineering resources, hindering product development. Delaying or skipping integrations leads to revenue loss and increased manual efforts for RCM operations teams, creating a significant barrier for behavioral health companies in a rapidly growing industry, valued at $280 billion in 2020.\n\n![uploaded image](/media/?type=post&id=72772&key=user_uploads/1376962/008d7770-25e8-44a6-9f88-883c5470b9c1)\n\n### **🧠 The Solution**\n\nSimilar to Stripe (YC09) and Plaid, Sohar Health empowers developers by providing direct integrations to payers. Our API-based platform offers three key features: targeted insurance eligibility determination, accurate network status, and AI-powered Verification of Benefits (VoB). By leveraging our services, behavioral health providers can:\n\n1. Unlock up to 25% additional revenue through improved front end RCM accuracy\n2. Find more eligible patient and minimize churn or attrition \n3. Halve the time spent on manual operations by intake or RCM teams\n\n### **👋 Our Backstory**\n\nAt Pelago (formerly, Quit Genius W18), the leading digital clinic for substance addictions, Ash and Lucas joined forces. Ash is an MD, with a background in digital health, hospital administration, and Health IT strategy consulting. As CTO and employee one at Pelago, Lucas possesses unparalleled expertise in resolving behavioral health integration challenges. With a track record of successfully integrating with 100+ employers, including major players like Evernorth and a Fortune 10 customer, Lucas's firsthand experience and Y Combinator background have been instrumental in securing over $80M in investment funding from seed to Series-B.\n\n**Our ask**\n\nIntroduce us to **behavioral health providers** (digital or hybrid) in your network. [Click here](mailto:hello@soharhealth.com?subject=Connecting%20to%20Ash%20and%20Lucas%20at%20Sohar%20Health)\n\nConnect us to your health plan or payers (e.g. Humana, Cigna, Aetna) that you’re working with. [Click here](mailto:hello@soharhealth.com?subject=Connecting%20to%20Ash%20and%20Lucas%20at%20Sohar%20Health)\n\n**Interested in hearing more?** Feel free to book a meeting [here](https://calendly.com/d/z7j-8n2-w2v/30mins-meeting-with-sohar-health)\n\n![uploaded image](/media/?type=post&id=72772&key=user_uploads/1376962/95f7f9e8-53b0-4bd6-9bd1-750d07fb0561)\n\n",
        "url": "https://www.ycombinator.com/launches/Ivk-sohar-health-ai-powered-eligibility-checks-vobs-and-insurance-discovery-for-behavioral-health",
        "votes": 20,
        "created_at": "2023-07-05T14:57:13.166Z"
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    "slug": "readily",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Readily uses AI to free 20 million healthcare professionals from manual compliance work so they can focus on patient care. We've helped $B healthcare organizations cut regulatory analysis, policy drafting, and audit work by up to 90%, reducing consulting spend and compliance risk.",
    "one_liner": "AI Compliance Platform for Healthcare Organizations",
    "team_size": 20,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1684821530,
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      "AI"
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    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
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    "stage": "Growth",
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    "year_founded": 2024,
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    "country": "US",
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      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
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      {
        "user_id": 318129,
        "full_name": "Edward Tiong",
        "title": "Founder",
        "founder_bio": "CEO at Readily. Studied AI at Berkeley. Ex-Microsoft AI. 3x founder. Holds 2 patents.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/edwardtiong",
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    "jobs": [
      {
        "id": 82767,
        "title": "🚀 Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/readily/jobs/SEZ25wL-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$110K - $170K",
        "equity_range": "0.10% - 0.40%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 82768,
        "title": "🚀 Full-Stack Engineer",
        "url": "https://www.ycombinator.com/companies/readily/jobs/hgS2kgL-full-stack-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$110K - $180K",
        "equity_range": "0.10% - 0.40%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 82769,
        "title": "🚀 Compliance Program Manager",
        "url": "https://www.ycombinator.com/companies/readily/jobs/oPocn1w-compliance-program-manager",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$130K - $160K",
        "equity_range": "0.01% - 0.20%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 92227,
        "title": "🚀 Senior Cloud DevSecOps Infrastructure Engineer",
        "url": "https://www.ycombinator.com/companies/readily/jobs/TNNdP3H-senior-cloud-devsecops-infrastructure-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "$120K - $180K",
        "equity_range": "0.10% - 0.30%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 92433,
        "title": "🚀 Senior Full-Stack Engineer",
        "url": "https://www.ycombinator.com/companies/readily/jobs/vrUSOY7-senior-full-stack-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $220K",
        "equity_range": "0.30% - 2.00%",
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        "id": 92455,
        "title": "🚀 Founding Account Executive",
        "url": "https://www.ycombinator.com/companies/readily/jobs/bZY5TDa-founding-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$220K - $325K",
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        "id": 103198,
        "title": "🚀 Marketing Manager",
        "url": "https://www.ycombinator.com/companies/readily/jobs/VKVtK8S-marketing-manager",
        "location": "San Francisco, CA, US / Los Angeles, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$120K - $150K",
        "equity_range": "0.05% - 0.10%",
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    "news": [
      {
        "title": "Readily raises $11M to help insurers stay compliant",
        "url": "https://endpoints.news/readily-raises-11m-to-help-insurers-stay-compliant/",
        "date": "Oct 13, 2026"
      }
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    "launches": [
      {
        "id": 83298,
        "title": "Readily - Healthcare compliance made easy",
        "tagline": "We help healthcare organizations find and close compliance gaps in hours not weeks.",
        "body": "# **tl;dr:** Readily helps healthcare organizations stay compliant as requirements become more complex. We connect their policies with regulations, making it drastically easier to find and close gaps.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXctpwpG1HfM12TBrl0_RXm7AOCE4BaRe-5VI_V3OaXJhtS2HRILw_YIdECGRLAeM2kHq-1GF7dfHD5_oeI3QgXS80w4hiJGViuj4YcBAiWb7Dgb3Ld1_BP9Sx1XobQqgRUjNhHNwxgpJRu-wCJMQNEg09BN?key=WOtv3UHkF8eR-G9ONpZmyQ)\n\n# **Problem**\n\nHealthcare organizations face growing backlogs and [**fines of up to $55M**](https://www.dhcs.ca.gov/formsandpubs/publications/oc/Documents/DMHCDHCS-JointPressRelease-LACare-Accusation-030422.pdf). It's getting harder to stay compliant as **requirements increase 30% every year** - many of which are frustratingly vague, leaving staff overworked.\n\nStaff spend hours sifting through 100,000 pages of policies and regulations, finding specific references on how to stay compliant. But as their tasks grow in volume and complexity, **Excel and PDF search just don’t cut it anymore**.\n\n# **Solution**\n\nReadily makes **compliance straightforward** for healthcare organizations.\n\n![uploaded image](/media/?type=post&id=83298&key=user_uploads/318129/784c1efe-98f4-4579-ab1d-57a5f6055010)\n\nWe connect their policies with regulations and **surface pertinent information** as their staff conduct research, analyze gaps, or prepare for audits.\n\n> _It used to take me 10 hours to review an All Plan Letter, and a junior staff twice as long. This saved me hours!” - Manager, Regulatory Affairs_\n\nFor any new requirement, we identify which departments, policies, and procedures are impacted and **what actions are needed to stay compliant**. This saves them hours of work and helps prevent costly violations.\n\n# **Ask**\n\nShare Readily with anyone you know in facing similar challenges keeping up with healthcare compliance or reach out to us (founders@readily.co). We'd love to help.",
        "url": "https://www.ycombinator.com/launches/LfW-readily-healthcare-compliance-made-easy",
        "votes": 262,
        "created_at": "2024-08-21T22:25:28.616Z"
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    "id": 28853,
    "name": "Obento Health",
    "slug": "obento-health",
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    "website": "https://www.getobento.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Obento Health is redefining the CRM experience for medical field sales. Designed specifically for healthcare, we are saving reps time from documentation and empowering reps to create more personalized interactions with their customers. ",
    "one_liner": "CRM Co-Pilot for Medtech Sales",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Medical Devices",
    "launched_at": 1690867347,
    "tags": [
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      "Medical Devices",
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    "batch": "Summer 2023",
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    "industries": [
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    "regions": [
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/obento-health",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/obento-health.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/95734316/",
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    "github_url": "https://github.com/obentohealth/",
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    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
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    "founders": [
      {
        "user_id": 898197,
        "full_name": "Naxin Wang",
        "title": "Founder",
        "founder_bio": "I stumbled into healthcare and haven’t looked back since. Currently building CRM for Medical Sales at Obento Health. Analyst by training at Google and built products at Verily Life Sciences, serving biopharma and medtech customers.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/naxinwang",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f360423e259d137d944085f077a43c27deafb397.jpg"
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      {
        "id": 84090,
        "title": "Obento Health - CRM Co-Pilot for MedTech Sales",
        "tagline": "We use AI to help medical field sales build stronger relationships with healthcare providers and organizations.",
        "body": "**TLDR**\\\n[Obento Health](https://www.getobento.com/?utm_source=launchyc) is redefining the CRM experience for medical device sales. Designed specifically for healthcare, we are saving field reps time from activity tracking and empowering reps to create more personalized interactions with their customers.\n\n### **The love-hate relationship with a CRM**\n\nMedical device reps are constantly on the go, and our users have told us using CRM is a necessary evil for their job. A clunky CRM leads to inefficiencies in managing customer relationships and missing valuable follow-ups. More importantly, reps are spending hours a week doing admin work in their CRM instead of focusing on their customers, and management is missing key insights to drive strategic directions for their sales teams. \n\n![uploaded image](/media/?type=post&id=84090&key=user_uploads/898197/fe5a0beb-4b25-42e3-8f6c-eb9b8e7f22d1)\n\n### **Obento is taking the pain out of using a CRM**\n\nThe team at Obento has designed the perfect co-pilot for medical device reps. Our mobile-first platform allows reps to log visits using voice-to-CRM, access their rolodex at their fingertips with enriched domain-specific data, and a debrief mode that can help reps uncover more aha moments. By integrating seamlessly with existing CRM systems, Obento enhances rep productivity from day one.\n\n### **The team has dedicated two decades into building well-loved products**\n\nNaxin Wang and Rodrigo Gutierrez have 20 years of combined experience and have built products used by millions of people. Naxin was at Verily (fka Google Life Sciences) building products for biopharma and medtech companies, and Rodrigo joined as an early employee and led product engineering at Strava.\n\n![uploaded image](/media/?type=post&id=84090&key=user_uploads/898197/2e2d4510-a499-4472-96d8-9f7e9079899b)\n\nReach out to us at [naxin@obentohealth.com](mailto:naxin@obentohealth.com) to see how AI can transform your commercial team.",
        "url": "https://www.ycombinator.com/launches/LsI-obento-health-crm-co-pilot-for-medtech-sales",
        "votes": 28,
        "created_at": "2024-09-17T17:29:33.192Z"
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    "name": "MICSI",
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    "website": "https://www.micsi.co/",
    "all_locations": "New York City, NY, USA",
    "long_description": "MICSI is introducing AI software that doubles resolution and halves scan time. This breakthrough enables imaging centers to significantly enhance their capacity and patient throughput, potentially saving countless lives and generating an additional $2 million of revenue per MRI scanner. Our initial offering serves as a stepping stone toward the company’s larger vision of transforming the MRI into a truly quantitative instrument that is capable of providing highly reproducible data for more accurate diagnoses and patient management. ",
    "one_liner": "Higher resolution MRI with faster scan times.",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1687381964,
    "tags": [
      "Computer Vision",
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      "Healthcare"
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    "batch": "Summer 2023",
    "status": "Active",
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    "year_founded": 2018,
    "city": "New York City",
    "country": "US",
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      {
        "user_id": 1352304,
        "full_name": "Gregory Lemberskiy",
        "title": "Founder",
        "founder_bio": "Gregory Lemberskiy (CEO) co-founded MICSI with goal of bringing cutting edge image processing tools, that he encountered in the research setting into clinical practice. His PhD work (2019) focused on algorithm development for image enhancement and biophysical modeling of the MRI signal. His methods have been used to enable high-end quality on low field MRI systems through noise reduction (MICSI’s first product) and use MRI to characterize the physical properties of prostate glandular lumen.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/gregory-lemberskiy",
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      },
      {
        "user_id": 1352419,
        "full_name": "Benjamin Ades-Aron",
        "title": "Founder",
        "founder_bio": "I got my PhD in electrical engineering in 2022 from NYU, where I specialized in developing machine learning based computer vision algorithms for the visualization of MRI data. I specialize in developing software to process and route diffusion and functional MRI data, with a goal of improving image signal, reducing noise, and producing clinically viable diagnostic imaging biomarkers.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/benjamin-aron-b0313349",
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      {
        "id": 96226,
        "title": "MICSI-PET: Anatomical Positron Emission Tomography",
        "tagline": "Making PET imaging fast, anatomical, and scalable for Alzheimer’s care.",
        "body": "TLDR; MICSI-PET makes PET imaging fast, anatomical, and scalable for Alzheimer’s care.\n\n![uploaded image](/media/?type=post&id=96226&key=user_uploads/1352304/a5488138-be4b-4093-86c1-1b2663488117)\n\n**Problem:** **PET is the bottleneck capping the entire Alzheimer’s market.**\n\n![uploaded image](/media/?type=post&id=96226&key=user_uploads/1352304/40ba7516-1b46-454a-9a26-98fb91fe3169)\n\nDisease modifying Alzheimer’s drugs like Leqembi and Kisunla are here, and they are projected to generate $5-8B/year by 2030. However, to get these drugs, patients need a positive amyloid PET scan.\n\nThis is an ambitious figure that is limited by the fact that there are only 2500 PET/CT scanners in the US, where the average age is 14 years old. PET scanners have a predictable 4-5% drop in sensitivity (or detected count rate) per year \\[Watanuki et al. Ann Nucl Med. 2010\\], suggesting a loss of half of the sensitivity since its initial install. Operationally, this sensitivity loss forces centers to lengthen acquisitions or increase dose just to preserve image quality, reducing throughput or margins right as amyloid PET demand is exploding. It’s also unrealistic to assume that the existing PET fleet is built for imaging Alzheimer’s at scale. PET systems are also heavily utilized for oncology, cardiology, infection, and presurgical planning, where 74% of all PET scans use FDG, a general purpose tracer for cellular metabolism. \n\n**Solution: Transform aging PET fleets into Anatomical PET with MICSI-PET.**\n\n![uploaded image](/media/?type=post&id=96226&key=user_uploads/1352304/be3b873c-3dd7-4326-8447-316161d179db)\n\nMICSI-PET is a turnkey upgrade that dramatically enhances PET image quality by using the MRI as an anatomical guide. This process does not require any additional imaging as all patients should have received an MRI prior to amyloid PET imaging. Operationally, this upgrade removes the primary barrier for scaling Alzheimer’s therapies by (1) enabling high-end PET imaging on low-end or aging PET scanners; (2) enabling shorter PET examinations leading to greater throughput; (3) minimizing ambiguity of positive/negative amyloid PET imaging by showing clearer boundaries between gray and white matter:\n\n![uploaded image](/media/?type=post&id=96226&key=user_uploads/1352304/90dd7722-405d-4a4f-967b-4ec6df183ff6)\n\n**Figure:** Coregistered conventional PET and MICSI-PET amyloid images across a range of amyloid burdens, highlighting differences in apparent cortical sparing: **left, amyloid-negative** with strong gray/white contrast; **right, amyloid-positive** with reduced gray/white contrast.\n\n**Addressing the Radiologist Workforce Crisis:** Scaling Alzheimer's care isn't just a hardware problem; it's a workforce problem. AD imaging is about to become a high-volume modality layered onto a nuclear medicine workforce where 54% of radiologists already report burnout.\n\nBeyond anatomical PET, MICSI-PET is designed to streamline diagnosis through automatic SUVR/Centiloid reporting with built-in QC.\n\n![uploaded image](/media/?type=post&id=96226&key=user_uploads/1352304/b48c9a16-d7b6-4fe9-bf74-509653e159dd)\n\nFast and anatomical PET is just the start. The same MR-guided upgrade would generalize across tracers, and eventually across doses, elevating the global standard of PET toward a new default: molecular imaging that’s both specific and anatomically precise. \n\nOur first product, MICSI-RMT, is already FDA-cleared and in the market. MICSI-PET is currently in clinical validation and we are preparing our FDA submission.\n\n**Ask:** We are expanding pre-FDA clearance pilot collaborations to validate MICSI-PET across sites and workflows, and we are closing a seed extension to support multi-center validation and early installs. If you lead a PET imaging program or invest in medical imaging and Alzheimer’s care, we would love to connect.  \n\n**Email Us:** \n\n[**Gregory.Lemberskiy@micsi.com**](mailto:Gregory.Lemberskiy@micsi.com)\n\n[**Benjamin.Adesaron@micsi.com**](mailto:Benjamin.Adesaron@micsi.com)",
        "url": "https://www.ycombinator.com/launches/P22-micsi-pet-anatomical-positron-emission-tomography",
        "votes": 16,
        "created_at": "2025-12-16T00:02:25.484Z"
      },
      {
        "id": 73719,
        "title": "MICSI (Microstructure Imaging)",
        "tagline": "Higher resolution MRI acquired faster",
        "body": "TLDR; MICSI is introducing an innovative image processing algorithm to decrease MRI scan time, increase image resolution, and unlock new diagnostic capabilities using Microstructure Imaging.\n\n![](https://lh4.googleusercontent.com/166C-4hbfRCmiC20D9EbOVhdubPqEE3tuTb-ZvNh8bnOXts8Rf9ZfhssNQ8ptJsGYAFqtkSt6w9Cu-aRvnBDBoKesDzc1ou7ddUVUZqTZ0knq8MmlZsbLWYY4rpGoFqUmrbmjEeSjfMx7KMKRdEngWA)\n\n**Problem: MRI Centers are overbooked.**\n\nIf you've ever had an MRI, you've probably waited weeks for an available slot and then spent a long time in the scanner. These long scan times inconvenience patients, create hospital backlogs, and delay appointments. Delays like these can critically impact conditions that require prompt diagnosis and intervention, inflate healthcare costs, increase patient anxiety, and potentially compromise treatment strategies. Why the wait? An MRI of the whole brain can be acquired in [**seconds**](https://mriquestions.com/echo-planar-imaging.html)!\n\n**Compromise: Why is your MRI an hour long?**\n\nMost of the scan time is spent on preserving signal-to-noise ratio (SNR) to produce images of the highest quality. These standard SNR preserving methods include:\n\n* Line-by-line acquisitions: These are fax-machine-like acquisitions that read the image one line at a time, where the time spent on each line is equivalent to the time that could have been spent acquiring the whole image.\n* Averaging: To boost SNR, images may be reacquired and averaged together. However, SNR improves slowly as a square root of scan time (ie 4 images are required to double the SNR).\n\nAn additional compromise is related to the spatial resolution, since MRI is acquired in 3D with “voxels”, doubling the resolution in each dimension from (2x2x2 mm3 to 1x1x1 mm3) would require the SNR to increase by **8x**, which even after 50 years of innovation, seems near impossible.\n\n![](https://lh4.googleusercontent.com/y1p1DzihqAvnmKvtoSJAbVSBrInECVUP2GvzVc5TFmLNqwTQ1hevnLgcPX7iplxNhKchrjAAQq8L8WlPbLNVWX31jAN-VIg6dSJ7Nzv-lKMUTvy8xsUIlzfFOZLlgSoGL0ZAC1lk8xqtYL2V4Q1caJk)\n\n**The MRI exam is full of compromise.**\n\n* Long scan times means fewer patients can be scanned by a given radiology center.\n* Lower resolution means a compromise in anatomical accuracy, where pathologies that could have otherwise been detected at an earlier stage would need to progress further to be MR visible.\n\nWe believe that the ultimate compromise is that MRI is not being used to its fullest potential for microstructure imaging, where MRI could be used to [**image cellular properties non-invasively**](https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/abs/10.1002/nbm.3998).\n\n**Solution: Boosting SNR over the MRI exam using MICSI-RMT.**\n\nOur patented approach (pending FDA510k clearance in Q4-2023) uses a self-supervised AI method to learn the noise properties of the MRI exam and remove noise uniformly across all images of the dataset. Our algorithm, MICSI-RMT, can be described as a smart averaging approach, whereby many images of the MRI exam are combined while preserving their unique image properties and discarding the noise. This boost in SNR would be approximately, sqrt(M/P), where M is the number of images included in the dataset, whereas P describes how different the images are (physical properties: proton density, T1, T2, diffusion, etc + artifacts: motion, errors, etc).\n\nMICSI-RMT is the commercial implementation of the MP-PCA algorithm that was developed by our research group led by Drs. Dmitry S. Novikov and Els Fieremans of NYU Radiology’s Center for Biomedical Imaging.\n\nMP-PCA is the most popular denoising approach in the MRI community:\n\n* The [**original paper**](https://pubmed.ncbi.nlm.nih.gov/27523449/) introducing the approach has achieved over 1300 citations since November 2016.\n* Denoising of [**task-based FMRI**](https://pubs.rsna.org/doi/full/10.1148/radiol.2020200822) for presurgical planning of Neurosurgery\n* Enabling low field [**0\\.55T prostate diffusion**](https://pubmed.ncbi.nlm.nih.gov/37222526/) MRI\n\nWith MICSI-RMT, MRI centers will not only be able to provide higher quality imaging but also drastically reduce the scan time (up to [50%](https://pubs.rsna.org/doi/full/10.1148/radiol.2020200822)). This improved efficiency allows centers to scan more patients per day, enhancing their operational capacity and throughput. Financially, this increase in capacity translates into a significant boost in revenue for every MRI center. By doubling the number of patients scanned daily, we estimate an additional $2 million in annual revenue per MRI scanner. Furthermore, the improved image quality and resolution could lead to more accurate diagnoses, early disease detection, and reducing overall healthcare costs in the long run.\n\n**Who we are - Greg and Ben**\n\n![](https://lh6.googleusercontent.com/F5FGyVn85R_Oxvkgw_uEOhvkKUEg_2VemnSso8p1nBfc7vgYVd1q1Vnt2BgIJrm2CRenojq9RkwoxbuP0lebYfKIcs6anX6wQEPQj0T-yaTJGLBOvqqzsw4JL4ftzrHLozX-QX592SesWUotkt92ZCw)\n\nWe are scientists and engineers who have spent the last decade developing machine learning software to both improve the quality diagnostic utility of MRI. [**Gregory Lemberskiy, PhD**](https://www.linkedin.com/in/gregory-lemberskiy/) is an [**experimental physicist**](https://scholar.google.com/citations?user=_TvugCIAAAAJ&hl=en). He discovered how to use MRI to measure the diameter of the [**prostate glandular lumen**](https://www.frontiersin.org/articles/10.3389/fphy.2018.00091/full), which may obviate the need for tissue biopsy to detect prostate cancer progression. [**Benjamin Ades-Aron, PhD**](https://www.linkedin.com/in/benjamin-aron-b0313349/) is an [**electrical engineer**](https://scholar.google.com/citations?user=xNhHFuAAAAAJ&hl=en) who developed and deployed the [**DESIGNER**](https://pubmed.ncbi.nlm.nih.gov/30077743/) open-source image processing pipeline, which is the global gold standard of diffusion MRI image processing. He has also developed a number of novel neural network architectures to aid in the denoising of compressed sensing MRI data, to facilitate brain mapping for functional neurosurgery of Epilepsy and brain tumor.\n\nTogether, the MICSI team owns over a dozen approved patents and has a clear vision for the future of MRI. The goal of MICSI is to use our patented denoising and parameter estimation technologies to make MRI quantitative and reproducible for the first time, creating a new category in diagnostic healthcare and improving patient satisfaction and outcomes.\n\n**Our Ask**\n\n* Do you know anyone in private practice, hospitals, or in large academic centers who may be interested in our approach? We want to talk to them.\n* Questions, comments, feedback? We want to hear from you!\n\n**Email us:**\n\n[**Gregory.Lemberskiy@micsi.com**](mailto:Gregory.Lemberskiy@micsi.co)\n\n[**Benjamin.adesaron@micsi.com**](mailto:Benjamin.adesaron@micsi.co)",
        "url": "https://www.ycombinator.com/launches/JB1-micsi-microstructure-imaging",
        "votes": 23,
        "created_at": "2023-08-02T17:20:50.834Z"
      }
    ]
  },
  {
    "id": 28867,
    "name": "Shasta Health",
    "slug": "shasta-health",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d0ddbae01a1bda2827881248dc2c26ab87f27982.png",
    "website": "https://www.shasta.health",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Shasta Health builds AI agents that run the front office for rehab therapy groups. We handle calls, texts, insurance verification, prior authorizations, and more - helping turn patient interest into completed, billable visits. Your team gets more time to focus on the patients in front of them.",
    "one_liner": "Helping rehab practices book more patients",
    "team_size": 5,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare Services",
    "launched_at": 1690927737,
    "tags": [
      "Health Tech",
      "Digital Health",
      "Healthcare",
      "Healthcare IT",
      "AI"
    ],
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    "batch": "Summer 2023",
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    "industries": [
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        "body": "**TL;DR:**\n\n[Shasta Health](https://www.shasta.health/)‘s AI Platform provides muscle and joint pain relief **from home** at **¼ the cost** of traditional physical therapy. We combine computer-vision based care programs with expert physical therapists to deliver personalized care at scale. For providers, our platform automates patient acquisition, documentation and billing so they earn **3x more** than at a big clinic.\n\n**If you are in CA, **[**sign up for an appointment today**](https://beta.shasta.health/patient/onboarding)**.**\n\n### The Problem\n\nWe’ve talked to hundreds of PTs over the last few months who are burned out and looking to leave their profession. Existing digital MSK solutions are not personalized and only accessible through employer plans.\n\n1. Physical therapists (PTs) only keep **25%** of the revenue they generate for their clinics. To earn enough money, they have to see more than 20 patients per day, spending **less than 15 minutes** with each one.\n2. This leads to low patient satisfaction. Patients waste **5 hours** of time in the clinic and spend **$90** in co-pays in a typical week. **Only 30%** actually finish their full plan of care with the top complaint being lack of time and motivation.\n3. Low adherence means the only alternatives are turning to opioids or surgery. This drives over **$600 billion** in annual healthcare spend on MSK conditions.\n\n# \n\n### The Solution\n\nShasta Health provides **integrated** muscle and joint pain relief **at home**, combining expert care from PTs with AI tools to improve care plan adherence. Here is what happens when you come to Shasta Health:\n\n1. You fill out a secure intake powered by an language model + computer-vision with your symptoms. We use this to match you with the right physical therapist and automatically generate documentation on the backend.\n\n   ![uploaded image](/media/?type=post&id=73766&key=user_uploads/896902/35c9bea3-c7b1-4858-afe9-87f633478f29)\n\n2. You meet with your physical therapist in an hour-long 1:1 or group session. The PT already knows your history and evaluates you over video using our computer-vision based tools. They also teach you exercises to relieve the pain.\n\n   ![uploaded image](/media/?type=post&id=73766&key=user_uploads/1247241/a5af27c5-eb8c-4d20-82a1-8f52ae82d6f4)\n\n3. After the appointment, we generate a personalized care plan based on the provider’s notes. We track your progress daily and provide real-time feedback using computer-vision during the exercises\n\n   ![uploaded image](/media/?type=post&id=73766&key=user_uploads/896902/f83d300d-8a20-43b5-84d7-df41edbeeb93)\n\n\n# \n\n### Who are we?\n\nWe’ve been friends and working together for over a decade - starting with a middle school robotics team in Pransu’s garage in Cupertino. We are advised by Dr. Ayoosh Pareek (Orthopedic Surgeon at Hospital for Special Surgery) and Dr. Laurel Mines (PT, DPT, Owner of Bay Laurel Athletics).\n\nSrinjoy was previously a Senior Engineer at Microsoft, where he led computer-vision projects on the HoloLens AR headset for healthcare companies. Pransu built medical billing software at Athelas (YC16), led an engineering team at Cockroach Labs, and brings research experience in telehealth privacy from UC Berkeley.\n\nWe reconnected after Srinjoy moved back to the Bay Area to take care of a family member with a critical medical condition. He spent most of last year in numerous PT appointments and grew frustrated with the broken system. We teamed up and started Shasta Health to improve the delivery of hybrid care for MSK conditions.\n\n# \n\n# **Asks**\n\n1. Do you have any muscle or joint pain? Sign up for an 1:1 or group session with an expert PT to try out the experience for yourself (no referral required). We’ve run several successful group sessions with YC founders already. [Sign up here](https://beta.shasta.health/patient/onboarding)\n2. Do you have any contacts at health systems / hospitals / payers? We would appreciate any intros as we try to scale up our patient acquisition channels (email [founders@shasta.health](mailto:founders@shasta.health))\n3. Do you know any physical therapists that are interested in contract positions or going independent? We would love to talk to them as we scale our provider network",
        "url": "https://www.ycombinator.com/launches/JBm-shasta-health-hybrid-care-for-muscle-and-joint-pain",
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        "created_at": "2023-08-03T16:34:42.031Z"
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    "long_description": "We use generative AI to call insurance on behalf of healthcare clinics. We save clinics up to 40 hours of calls every week over existing outsourced human solutions. \r\n\r\nCompared to the existing solutions for benefits verifications: \r\n- We're faster -- by default, we have a turnaround of 24 hours compared to typically a 3 day turnaround for competitors\r\n- We can reach more payors -- as long as they have a phone line, we can support calling them for benefits. There's quite a few payors in both medical and dental (e.g. Seledent) that have yet to offer a digital retrieval of benefits\r\n- We're reliable and consistent -- there is no person-to-person variation or question skipping when it comes to working with software\r\n",
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        "title": "Health Harbor - Automated billing for private medical practices",
        "tagline": "Never call insurance again.",
        "body": "### **Hey everyone! We are Nathan, Alan, and Gloria from Health Harbor.**\n\n**TL;DR:** Private practices spend hours every week talking with insurance trying to determine fee coverage so patients don't end up with a surprise bill. Health Harbor uses AI to automate billing for private practices by having an AI call insurance on their behalf. Check us out: [https://healthharbor.co](https://healthharbor.co/)\n\n![uploaded image](/media/?type=post&id=73410&key=user_uploads/1322783/392081ad-49f0-4086-a585-4d1df7292820)\n\n### **The Problem**\n\nImagine spending almost 100 million hours on the phone with medical insurance. Trust us, medical providers can. Over 230,000 private practices in the US spend more than 8 hours every week sitting on the line with insurance trying to determine the amount insurance will cover.\n\n### **The Solution**\n\nHealth Harbor relieves doctors’ offices from needing to call insurance. Instead they can simply submit requests through Health Harbor’s HIPAA certified portal.\n\n![uploaded image](/media/?type=post&id=73410&key=user_uploads/1322783/81fa57fd-de79-4030-9fe3-8e8d20fa99ee)\n\nFurthermore, by enabling admin to quickly request coverage on specific procedure codes, Health Harbor allows physicians to perform more procedures in fewer visits thus compressing revenue cycles from 4 weeks to 1 week.\n\n### **The Team**\n\nWe are Nathan, Alan and Gloria. Nathan comes from an early stage startup, Liminal Sciences, that went public with Hyperfine four years after its inception where he aligned the team on product strategy and built the product as a designer and software engineer. In Alan’s past life, he wrote software for AI systems like speaker identification at Meta’s Portal and prediction of occluded objects at Nuro. As for Gloria, she planned multi-year growth trajectories while at Bain and the Gates Foundation. \n\n### **The Ask**\n\n1. Customer Intros: Please reach out to us at [founders@healthharbor.co](mailto:founders@healthharbor.co)\n   * If you currently call health insurance,\n   * If you personally know anyone who complains about calling insurance (including dentists and any other private practice physicians),\n   * If you know anyone in private equity firms that manage private practices.\n2. Follow us on [LinkedIn](https://www.linkedin.com/company/health-harbor/)",
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      "name": "Garry Tan",
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        "full_name": "Daniyal Afzal",
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        "full_name": "Kevin Cheng",
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        "title": "Decoda Health: the operating system for elective care",
        "tagline": "Where healthcare operations become intelligent.",
        "body": "Clinics that rely on point solutions and disconnected tools create missed opportunities, fragmented patient experiences, and endless admin work.\n\n**Decoda Health** **is the operating system for modern elective-care clinics.** Our AI agents answer calls, take notes, keep calendars full, and handle patient follow-ups - all on top of a unified platform for scheduling, payments, memberships, prescriptions, labs, and analytics.\n\nWe’re live in **150+ clinics**, processing **$100M+** annually, saving **$7M** in admin time, and generating **$20M+** in new revenue for our customers. We have grown more than ten-fold in the last 6 months.\n\nhttps://youtu.be/Ala-OpQMy4M\n\n### Problem\n\nEvery clinic has knowledge - how patients move through the workflow, which tasks matter most, what providers need, what's already been done, what's still pending.\n\nBut that knowledge lives in **ten different tools** and the minds of staff who come and go.\n\nSo every day feels like starting from scratch:\n\n![uploaded image](/media/?type=post&id=96026&key=user_uploads/1279796/be2f277d-ce92-4e4d-91f7-bcca78422717)\n\nThis isn't a workflow issue. **It's a missing foundation.**\n\n### **Solution**\n\n![uploaded image](/media/?type=post&id=96026&key=user_uploads/1279796/65d5dc7a-69ef-430c-a89f-5d4376294f1a)\n\nFirst, we built the **full suite of modules every clinic needs**: scheduling, intake & consent forms, unified communications, charting & documentation, inventory & checkout, patient messaging, and reporting & analytics.\n\nThen we layered on intelligent agents that carry deep context and perform tasks like **answering calls, taking notes, and keeping calendars full.**\n\nBecause these agents and modules live inside the same platform, every workflow becomes connected and actionable.\n\nThe more a clinic uses Decoda, the **smarter** and **more streamlined** it becomes. This creates a **compounding advantage:** each clinic builds more longitudinal data, each agent becomes smarter with greater context, and each workflow grows increasingly deterministic.\n\nOver time, the system becomes not just a tool, but a **trusted co-pilot for running the clinic**.\n\n![uploaded image](/media/?type=post&id=96026&key=user_uploads/1279796/ee1b49ba-10ab-4e46-9e86-f9d152c5c10f)\n\n### Why Now\n\n**AI gives tiny teams massive leverage.** As a team of &lt;10 people, we’ve already out-shipped incumbents with 500-person orgs. This moment, and our focus on clinic workflows, creates a rare window to build a category-defining platform.\n\n![uploaded image](/media/?type=post&id=96026&key=user_uploads/1279796/f3e45a34-b6a8-4599-89bc-0606823b3237)\n\n### Starting with elective care\n\nMore people want to live longer, happier, and healthier and are willing to spend on caring for themselves.\n\nWe are starting with a focus on **wellness, longevity, anti-aging, medical aesthetics, dermatology,** and **cosmetic surgery practices.**\n\nThis segment of care is growing fast and remains underserved by incumbent solutions.\n\n### Ask\n\nIf you know someone operating an elective care clinic or any talented folks that want to join us on our mission in any capacity (engineering, sales, ops, etc.), we’d love to hear from you.\n\n✉️ email us at [founders@decodahealth.com](mailto:founders@decodahealth.com)!\n\n💼 share our careers page with your talented friends: [link here.](https://app.dover.com/jobs/decodahealth)",
        "url": "https://www.ycombinator.com/launches/Oyo-decoda-health-the-operating-system-for-elective-care",
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        "created_at": "2025-12-08T21:56:43.573Z"
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    "name": "Numen",
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    "year_founded": 2021,
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    "country": "US",
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        "full_name": "Luca Springer",
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        "id": 99608,
        "title": "Visual Designer",
        "url": "https://www.ycombinator.com/companies/numen/jobs/AaAkTx0-visual-designer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Design",
        "role_type": "UI / UX",
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        "equity_range": "0.05% - 0.10%",
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      {
        "id": 73949,
        "title": "💧🧬Cleancard - Making cancer screening as easy as a pregnancy test",
        "tagline": "Combining SynBio and AI to make rapid and reliable at-home cancer testing possible",
        "body": "**Tl;dr:** We’re Cleancard, a pair of Rhodes Scholars on a mission to reinvent cancer diagnostics. We combine synthetic biology + AI to create powerful at-home cancer tests, with results from urine in just 30 minutes. **Check out our **[**website**](https://www.cleancard.bio/)** for more!**\n\nHey everyone - we’re Tom and Luca, the co-founders behind Cleancard!\n\n![uploaded image](/media/?type=post&id=73949&key=user_uploads/863380/9ea23e71-c6d5-4715-8236-7ed89e1d6a90)\n\n👨🏻 [Tom](https://www.linkedin.com/in/thomas-carroll-62a60367/): Clinical cancer researcher, expert in bioinformatics and methods development. No stranger to designing [better biomarker tests](https://www.cell.com/cancer-cell/fulltext/S1535-6108(23)00216-7). 👨🏻‍🦰 [Luca](https://www.linkedin.com/in/luca-springer-b3801b8a/): Computer scientist with a strong healthcare policy background. Years of experience growing healthtech and consumer businesses.\n\n### **Early cancer detection saves lives 🕑**\n\nMore than 18M Americans have cancer today. Unfortunately, this is a growth market (26M projected by 2040). 1 in 3 have a close family member with a history of cancer, and thus have a higher risk for cancer themselves (2x). We know these realities all too well from our personal lives, dealing with hereditary cancer syndromes and family histories of cancer.\n\nCancer will come for many of us. To give ourselves drastically better odds of surviving this disease, we need to diagnose it before it reaches an advanced stage.\n\n![uploaded image](/media/?type=post&id=73949&key=user_uploads/863380/10066d6b-22e6-4e98-a5cf-4fc34047d766)\n\n### **Problem: Cancer screening is failing us 🤬**\n\n* Cancer symptoms are often unnoticeable until the cancer is too advanced to cure\n* Current lab-based screening tests are **time-consuming** and **costly** - they fail to get people to screen before they are symptomatic (even for PSA, only [1 in 3 participate](https://jamanetwork.com/journals/jamaoncology/fullarticle/2797845))\n* At-home rapid tests would increase rates of asymptomatic screening but **just don’t perform well enough** to be trusted for cancer diagnostics\n* Current options are **not sufficient** to give people their best chance at surviving cancer\n\n### **Solution: Cleancard’s rapid testing platform 😍**\n\nWe’ve built a new rapid-test method enabling highly sensitive biomarker-guided diagnostics from the urine in just 30 minutes. Key advantages of our proprietary technology:\n\n* **10x quicker/cheaper** than lab-based tests\n* **10x more sensitive** than lateral flow\n* **No expensive machinery** or **complicated sample manipulation**.\n\nSee how we stack up:\n\n![uploaded image](/media/?type=post&id=73949&key=user_uploads/863380/ed2218af-7627-4f5b-9d17-7adec46c6632)\n\nCleancard technology combines synthetic biology, machine learning, and computer vision into a multiplexable, machine-readable format which allows us to detect multiple cancer biomarkers from a single sample.\n\nOur first rapid at-home screens will identify prostate, bladder, and ovarian cancers. Our method is highly agile - we’ve successfully targeted 10 new cancer biomarkers during this YC batch alone, with more to come soon. \n\nCleancard’s platform is the one-stop shop for reliable detection and tracking of multiple cancer biomarkers in the comfort of your own home.\n\n### **Our asks 🙏**\n\n* **Share this post!** Please help us spread the word with your networks.\n* **Join our team!** We are always looking for highly motivated scientists and engineers to join us in our mission to reinvent cancer diagnostics. If that’s you or someone you know, please get in touch ([contact@cleancard.bio](mailto:contact@cleancard.bio)).",
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    "website": "https://tryegress.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Egress Health builds AI agents to automate revenue cycle management, starting with dental offices. Our workflows span eligibility checks, claims scrubbing, payment posting, and denial management. On average, our customers eliminate 1-2 full time employees and collect 5-15% more revenue each month. Interested in learning more? Shoot us a note at founders@tryegress.com",
    "one_liner": "Automated revenue cycle management, starting with dentists",
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    "status": "Acquired",
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/egress-health",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/egress-health.json",
    "year_founded": 2024,
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        "full_name": "Alex Pedersen",
        "title": "Founder",
        "founder_bio": "Co-founder of Egress. Prev Microsoft, Harvard CS",
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        "linkedin_url": "https://linkedin.com/in/alex-pedersen-30340915a",
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        "title": "Egress Health: AI that gets doctors paid",
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        "body": "Hi! I’m Alex, founder of Egress Health. We’re building AI agents to automate the work healthcare providers do to get paid by insurance (aka “revenue cycle management”). Our first customers are dental clinics.\n\n# TL;DR:\n\n* **Our average customer eliminates 1-2 full time employees and sees a 5-15% increase in collections.**\n* Since launching in late October, we’ve expanded to dozens of locations across the country and processed $14M in reimbursements.\n* [Watch our video](https://www.youtube.com/watch?v=RzmQSBHpq5I)\n\n# Problem:\n\nIn the back of every healthcare provider's office there are staff who spend their whole day doing repetitive, mundane tasks necessary to get reimbursed by insurance. Failure to keep up with this work results in significant (sometimes existential) financial loss. \n\nWe learned about these consequences from a family friend, who is a dental provider. Suffering from staff turnover, the practice where she worked struggled to collect even 70% of what they were owed and nearly missed payroll as a result. \n\nThis story is not uncommon. Healthcare providers will spend &gt;$160B on revenue cycle work this year and even the best run clinics still won’t collect everything they are owed. \n\nWe’re building Egress Health to help providers collect 100%.\n\n# Solution:\n\nWe’re building AI agents that complete these revenue cycle tasks faster, and more accurately than any human. Our agents navigate insurance websites and practice management systems, automating away the need for administrative staff and billing specialists. Our average customer eliminates 1-2 full time employees after implementing and sees a 5-15% increase in collections.\n\nSince launching in late October, we’ve expanded to dozens of locations across the country and processed $14M in reimbursements.\n\n# Team:\n\nAlex studied CS at Harvard and previously worked at Microsoft. \n\n# Asks:\n\nWe’re looking to partner with independent practices, DSOs, and DPOs looking to automate their administrative workflows. If that sounds like you, please [book a meeting](https://calendly.com/egress-alex/30min) or reach out to us at [founders@tryegress.com](mailto:founders@tryegress.com) to learn more.",
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        "full_name": "Eduard Oravkin",
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        "founder_bio": "Working on giving people instant answers to health questions with https://medisearch.io.",
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        "title": "MediSearch Pro: Your personal medical research assistant",
        "tagline": "MediSearch Pro is currently the most accurate publicly-available medical search engine, scoring 94.2% on the United States Medical Licensing Examination (USMLE). Now available on web, iOS, and Android.",
        "body": "**tl;dr:** We are launching MediSearch Pro—your personal medical research assistant. MediSearch Pro is currently the most accurate publicly-available medical search engine, scoring 94.2% on the United States Medical Licensing Examination (USMLE). Now available on web, iOS, and Android.\n\n![uploaded image](/media/?type=post&id=86270&key=user_uploads/544896/e2e6710a-1040-46bb-8d46-51e0e4655daf)\n\n**iOS**: <https://apps.apple.com/us/app/medisearch-ai/id6473300940>\\\n**Android**: <https://play.google.com/store/apps/details?id=io.medisearch.twa>\\\n**Web**: <https://medisearch.io>\n\n**Some highlights**:\n\n* **Industry-Leading Accuracy**: 94.2% accuracy on USMLE\n* **Smart Information Extraction**: Automatically highlights key information from medical papers, including summaries and critical statistics\n* **Advanced Followups**: One-click access to related papers, contradicting evidence, and real-world discussions\n* **Enhanced Filters**: Refined search by publication date and content type\n\nMediSearch Pro is now available globally on web, iOS, and Android. We're committed to making medical information more accessible and accurate for everyone. Please email [founders@medisearch.io](mailto:founders@medisearch.io) to share your feedback! Learn more about MediSearch Pro on our [announcement page](https://medisearch.io/announcements/pro_release).",
        "url": "https://www.ycombinator.com/launches/MRS-medisearch-pro-your-personal-medical-research-assistant",
        "votes": 17,
        "created_at": "2024-12-12T17:17:08.331Z"
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      {
        "id": 77599,
        "title": "🧑‍⚕️ 🔎 MediSearch: Get direct answers to medical questions based on trustworthy sources",
        "tagline": "Now available as an OpenAI GPT, iPhone app, and Android app!",
        "body": "**tl;dr:** [MediSearch](https://medisearch.io/) gives you direct answers to medical questions based on trustworthy sources. Now you can find MediSearch as an [OpenAI GPT](https://chat.openai.com/g/g-jd2p3UfVx-medisearch), [iPhone App,](https://apps.apple.com/app/medisearch-ai/id6473300940) and [Android App](https://play.google.com/store/apps/details?id=io.medisearch.twa).\n\n![uploaded image](/media/?type=post&id=77599&key=user_uploads/593908/f079aa56-e33b-4ec1-8631-12658b5b82d7)\n\nWe have now answered millions of medical questions on the web-based version of [MediSearch](https://medisearch.io). A long-awaited request from our users has been to offer MediSearch on other popular platforms. Now you can get direct answers to medical questions with trustworthy sources on your [Apple](https://apps.apple.com/app/medisearch-ai/id6473300940) or [Android](https://play.google.com/store/apps/details?id=io.medisearch.twa) device, or use the full power of GPT4 on the [OpenAI GPT store](https://chat.openai.com/g/g-jd2p3UfVx-medisearch).\n\nThe accuracy of the answers of MediSearch remains our main focus. A testament to this is our performance on the United States medical licensing sample exam. You can check out the full evaluation [here.](https://docs.google.com/document/d/1miFwLyXdU-RJiWc40ifwmYToAUt0ZqXgXmPW51AYUlo/edit)\n\n![uploaded image](/media/?type=post&id=77599&key=user_uploads/593908/c84393a2-70f4-48cf-b779-0671edd23e39)\n\nWe want to make MediSearch the best that we possibly can and accessible to everyone. Therefore, please let us know of any improvements that we can make! We’d be grateful.",
        "url": "https://www.ycombinator.com/launches/KBb-medisearch-get-direct-answers-to-medical-questions-based-on-trustworthy-sources",
        "votes": 14,
        "created_at": "2024-01-17T15:47:58.399Z"
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      {
        "id": 73952,
        "title": "MediSearch 👨‍⚕️🔎 AI search engine for trustworthy medical information",
        "tagline": "Get direct answers to medical questions based on trustworthy sources.",
        "body": "**tl;dr:** You know how when you google stuff about your health, you always end up getting diagnosed with some deadly disease by an SEO-optimized health blog? [MediSearch](https://medisearch.io) gives you direct answers to medical questions based on trustworthy sources using LLMs. Also available as an [API](https://medisearch.io/developers).\n\n![uploaded image](/media/?type=post&id=73952&key=user_uploads/593908/132974ad-1386-4c1b-bee4-44c9f38bccdf)\n\n\\*\\*Story and Problem:\\*\\*\\\nEduard was going to have his 2nd surgery on his knee in December. He visited 8 surgeons in 4 different countries and was surprised to find 6 different surgery options. He had no idea which opinion to trust, so he turned to researching online. We realized that current options for finding health information are either:\n\n1. unable to give direct answers to questions (WebMD and Healthline)\n2. untrustworthy (current LLM chatbots or health blogs on Google)\n3. or too technical (PubMed papers)\n\n**Solution:**\n\n![uploaded image](/media/?type=post&id=73952&key=user_uploads/593908/da7d8464-0825-4c35-80f8-d25f02ec1675)\n\nSince joining YC, the usage of MediSearch has grown 30x, validating that we are solving a real problem.\n\nAlso, to the best of our knowledge, MediSearch is currently the best performing publicly available medical QA system on the United States medical licensing sample exam. You can check our performance [here](https://docs.google.com/document/d/1miFwLyXdU-RJiWc40ifwmYToAUt0ZqXgXmPW51AYUlo/edit).\n\n![uploaded image](/media/?type=post&id=73952&key=user_uploads/593908/7d6f60e7-80db-4f53-9375-ad775f39660f)\n\nSeveral YC companies recently reached out whether we offer MediSearch through an API. So now we [do](https://medisearch.io/developers). If you’re interested, reach out to us at [founders@medisearch.io](mailto:founders@medisearch.io).\n\nOur ask:\n\n* Email us and tell us what you think about MediSearch!\n* ",
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        "votes": 36,
        "created_at": "2023-08-09T16:09:33.450Z"
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        "full_name": "Cydney Kim",
        "title": "Founder",
        "founder_bio": "Healthcare operator (Halo Dx, McKinsey, Bridgewater)",
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        "linkedin_url": "https://linkedin.com/in/cyd-kim",
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        "user_id": 1400986,
        "full_name": "Nikita Singareddy",
        "title": "Founder",
        "founder_bio": "Building the TurboTax for 90M Americans on Medicaid. Did things at Truepill, a16z, RRE Ventures, and Oscar Health.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/nikita-m-s",
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      {
        "user_id": 1402830,
        "full_name": "Ben Wesner",
        "title": "Founder",
        "founder_bio": "First SWE @ Juniper (W21), Bloomberg, Brown '18",
        "is_active": true,
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        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/fortuna-health/jobs/6jkbCBj-senior-software-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
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        "type": "Full-time",
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        "role_type": null,
        "salary_range": "$90K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Exclusive: Medicaid navigator Fortuna Health inks $4M seed joined by John Legend",
        "url": "https://www.axios.com/pro/health-tech-deals/2023/11/15/medicaid-navigator-fortuna-health-raises-4m-seed-john-legend-a16z",
        "date": "Nov 15, 2023"
      }
    ],
    "launches": [
      {
        "id": 73742,
        "title": "Fortuna Health: TurboTax for Medicaid",
        "tagline": "We simplify Medicaid application filing and renewals",
        "body": "**TLDR** - Fortuna Health is TurboTax for Medicaid. We simplify Medicaid application filing so consumers can easily check eligibility, enroll, and renew their coverage.\n\n**The Problem**\n\nToday, \\~90M Americans on Medicaid face acute challenges with eligibility screenings and (re)enrollment. It takes hours for consumers to navigate glitchy websites and long, paper Medicaid forms.\n\n![uploaded image](/media/?type=post&id=73742&key=user_uploads/89898/ebdc0992-91cf-4f63-b15d-9fd3402c314b)\n\nThe experience is so poor that procedural reasons (e.g., form errors, missing a notice in the mail) account for a staggering 75% of disenrollments. This is terrible for consumers who lose coverage and produces huge downstream consequences: Medicaid health plans (MCOs) lose over $30B from churn, providers suffer $13B in lost patient revenue and uncompensated care, and states waste $8B on administrative costs.\n\nMore than ever before, Medicaid enrollment demands immediate attention given the ongoing Medicaid redetermination crisis putting 15M enrollees at risk of losing coverage in the next 18 months.\\\n**\\\nOur Solution**\n\nFortuna solves the $57B enrollment problem with a consumer product (beautiful, simple state Medicaid filing experience just like Turbotax is for taxes). By making products that consumers want to use, we unlock immense value for providers and health plans.\n\n![uploaded image](/media/?type=post&id=73742&key=user_uploads/89898/a3771849-1883-4036-8992-88cec6086161)\n\nOur unique approach provides consumers with a seamless web experience, eliminating the need to interact with state portals. We offer 60-second eligibility checks and 5-minute (re)enrollment in 7 languages. To accelerate completing applications, we allow consumers to connect accounts that auto-populate their filings, provide a \"virtual\" mailbox for state and health plan communications, and send text notifications for urgent actions.\n\nProviders and health plans have had limited real-time visibility into enrollment and revenue risk until now. The Fortuna platform allows providers and health plans to seamlessly monitor Medicaid enrollment status and consumer next steps, receive real-time updates on contact information, and benefit from comprehensive analytics.\n\nOur vision is to transform the enrollment experience and expand our products to become the consumer-facing digital infrastructure that powers the $800B+ Medicaid ecosystem.\n\n**The Team**\n\nWe’re all former operators and engineers with experience scaling early and mid-stage healthcare startups that covered Medicaid.\n\n* Cydney is a former management consultant who helped scale a health tech company from seed to Series C as General Manager and VP of Operations and Strategy. 30% of the company’s patients were Medicaid beneficiaries.\n* Ben was the first software engineer at behavioral health revenue cycle startup Juniper (YC W21) and helped grow the engineering team to 12. Almost 40% of children in the US are covered under Medicaid/CHIP.\n* Nikita started her career at Oscar Health and spent the past 2 years at Truepill (YC S17) building pharmacy solutions for community health centers and FQHCs that served Medicaid patients. She was born on public assistance.\n\n**The Ask**\n\nKnow any health plans, hospitals, and provider organizations with large Medicaid populations? Please reach out to [**founders@fortunahealth.com**](mailto:founders@fortunahealth.com)",
        "url": "https://www.ycombinator.com/launches/JBO-fortuna-health-turbotax-for-medicaid",
        "votes": 101,
        "created_at": "2023-08-02T23:55:00.179Z"
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    "id": 28936,
    "name": "Empirical Health",
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    "website": "https://empirical.health",
    "all_locations": "New York City, NY, USA",
    "long_description": "Don't die of heart disease. While heart disease is the #1 killer worldwide, 80% of heart disease is preventable.\r\n\r\nEmpirical's program starts with an advanced lab test with 100+ biomarkers, including ApoB, Lp(a), inflammation, and more. Then, we help you model your lifetime risk of heart disease and generate a plan to reduce your risk to an optimal level. Then we help you achieve that plan.\r\n\r\nEmpirical is licensed, registered, and insured to deliver real medical care in 30+ US states covering 200m+ people. We're growing >25% monthly.",
    "one_liner": "Don't die of heart disease. Empirical is the first AI-native heart…",
    "team_size": 4,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Consumer Health and Wellness",
    "launched_at": 1689658487,
    "tags": [
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      "Machine Learning",
      "Consumer Health Services",
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    "isHiring": false,
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    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/empirical-health",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/empirical-health.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/empiricalhealth/",
    "x_url": "https://twitter.com/EmpiricalHlth",
    "fb_url": "https://www.facebook.com/EmpiricalHLTH",
    "cb_url": "https://www.crunchbase.com/organization/empirical-health",
    "github_url": "http://github.com/EmpiricalHealth",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dd8134cbe5b8ea696157c320672eb55cc8649540.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 11792,
        "full_name": "Brandon Ballinger",
        "title": "Founder",
        "founder_bio": "AI in medicine.\n\nCo-founder at\n  * Empirical Health (YC S23) - full stack preventive heart health scaled with AI\n  * Cardiogram (acquired) - deep learning for heart disease\n  * Sift - top 50 YC company, machine learning for fraud detection.\n\nAlso:\n  * HealthCare.gov rescue team\n  * Google tech lead on machine learning for speech recognition\n  * Head of Risk Engineering at Brex",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/brandonballinger",
        "x_url": "https://twitter.com/bballinger",
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      },
      {
        "user_id": 1360101,
        "full_name": "Raquel Rodriguez Martinez",
        "title": "Founder",
        "founder_bio": "Physician | Health Technology | Co-founder at Empirical Health | Previously Assistant Clinical Professor at UCSF & Family Medicine at Kaiser",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/raquel-rodriguez-martinez",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a95a90089a93018c4a6bc76e79402beaefdca047.jpg"
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    ],
    "jobs": [],
    "news": [
      {
        "title": "This new health protocol combines 40 smartwatch biomarkers and blood tests to give you a health score | TechRadar",
        "url": "https://www.techradar.com/health-fitness/this-new-health-protocol-combines-40-smartwatch-biomarkers-and-blood-tests-to-give-you-a-health-score",
        "date": "Mar 11, 2025"
      },
      {
        "title": "This app turns your smartwatch data into a personal health assistant, and it just launched on Android | TechRadar",
        "url": "https://www.techradar.com/health-fitness/this-app-turns-your-smartwatch-data-into-a-personal-health-assistant-and-it-just-launched-on-android",
        "date": "Feb 24, 2025"
      },
      {
        "title": "Empirical Health is launching to 47 million midwesterners",
        "url": "https://data.empirical.health/p/midwest-primary-care",
        "date": "Dec 12, 2023"
      },
      {
        "title": "Empirical Health app brings proactive primary healthcare to the Apple Watch",
        "url": "https://bgr.com/tech/empirical-health-app-brings-proactive-primary-healthcare-to-the-apple-watch/",
        "date": "Jul 18, 2023"
      }
    ],
    "launches": [
      {
        "id": 90204,
        "title": "Empirical: don't die of a heart attack",
        "tagline": "Measure, predict, and prevent your risk of heart disease",
        "body": "Hi! We’re Brandon, Raquel, Harish, and Wyatt—we’re a team of doctors and engineers here to help you improve your heart health. We previously worked at Kaiser, Google, and Apple, and ran one of the first studies to use deep learning to detect abnormal heart rhythms using the Apple Watch's heart rate sensor.\n\n**Heart disease kills more people than all cancers combined**—but it’s also the area of health most in your control. **80% of heart attacks** can be avoided, and your risk is predictable using [statistical models up to 30 years in advance](https://www.empirical.health/blog/heart-attack-risk-calculator/).\n\nToday, we’re **launching Empirical heart health**. We help you measure key heart biomarkers (including ApoB), predict your personal heart disease risk, and build a tailored action plan—covering nutrition, medication, and exercise.\n\nHere’s how it works. Or just [get started now](https://www.empirical.health/product/comprehensive-health-panel).\n\n# **Measure: 85+ biomarkers for $190**\n\n![uploaded image](/media/?type=post&id=90204&key=user_uploads/11792/753c7d44-dc07-427d-a094-f96ae817412c)\n\nEmpirical heart health starts with a $190 test measuring 85+ biomarkers—available at 2,200+ locations nationwide.\n\nYou’ll get insights into key heart markers like:\n\n* **ApoB**: every [10 mg/dL drop cuts heart disease risk by 9%](https://www.empirical.health/blog/apob-blood-test/)\n* **Lp(a)**: up to [6x more atherogenic](https://www.empirical.health/blog/lipoprotein-a-blood-test/) than regular LDL\n* **Cholesterol & Triglycerides**: core inputs into [heart attack risk predictors.](https://www.empirical.health/blog/heart-attack-risk-calculator/)\n* 80+ others: inflammation (hs-CRP), cell counts, electrolytes, creatinine, glucose, ketones, and more.\n\n# **Predict: model your heart attack risk**\n\n![uploaded image](/media/?type=post&id=90204&key=user_uploads/11792/c6b20b30-392f-4d5f-9586-8440b6b782f6)\n\nNext, we show how your heart attack risk could change by age 70—\n\n* If you do nothing\n* If you follow a tailored plan with medication, diet, and exercise\n\nMany people cut their risk by 50% or more with the right changes.\n\n# **Prevent: personalized action plans**\n\n![uploaded image](/media/?type=post&id=90204&key=user_uploads/11792/0a3741e8-1518-41cc-afda-ca50302a3d83)\n\n_“Eat less red meat.” “Eat more greens.”_ You’ve heard it all before.\n\nThis is different. We build a biomarker-driven nutrition plan tailored to your bloodwork—targeting the **exact** nutrients that matter for your heart. These tailored plans have been shown in the medical literature to be about twice as effective as a simple \"eat more fruits and vegetables\" diet.\n\nAnd tracking? Just snap a photo of your meal. We’ll use AI to analyze nutrients like fiber, potassium, sodium, saturated fat, and more.\n\n# **Help prevent 1 million heart attacks**\n\nHelp us save one million people from heart disease by 2027. Empirical Heart health is available today across 30+ states, reaching over 200 million people.\n\n[Get started yourself](https://www.empirical.health/product/comprehensive-health-panel), or share with a loved one.",
        "url": "https://www.ycombinator.com/launches/NSu-empirical-don-t-die-of-a-heart-attack",
        "votes": 18,
        "created_at": "2025-05-08T14:04:54.403Z"
      },
      {
        "id": 81886,
        "title": "Empirical: Your personal healthcare assistant",
        "tagline": "Transform your biomarkers into a personalized care plan, reviewed by a real human doctor",
        "body": "Hi! We’re Raquel and Brandon. Last year we launched Empirical Health in four states — today we’re launching a major update.\n\nEmpirical Health 2.0 transforms your biometric data and personal goals into a customized health plan. To ensure safety, your care plan must always be reviewed with a real human doctor, who can order necessary labs, referrals, or prescriptions. Medical care through Empirical is now available to 200 million people across 27 states.\n\n![uploaded image](/media/?type=post&id=81886&key=user_uploads/11792/0dd4da20-de1b-4eb7-968b-bc7d01daf62e)\n\n## Here’s how Empirical can help you live a healthier life:\n\n* Let’s say you have **low deep sleep**. Empirical will analyze your sleep stages and bedtime consistency to design a protocol to assess sleep hygiene, risk of sleep apnea, and recommend further testing, reviewed by a doctor.\n* **Want to increase VO2Max?** Empirical crafts an exercise protocol with Norwegian 4x4s, Zone 2 training, and strength training to improve VO2Max.\n* **Suffering from Long Covid, Dysautonomia, or POTS**? Empirical creates a plan to evaluate you for POTS. It starts with taking orthostatic vitals using a heart rate monitor and a blood pressure cuff (essentially, an [at-home version of the $1,900 tilt table test).](https://turquoise.health/services/evaluation-of-heart-function-using-tilt-/) Then, we use your ECG and blood test results to rule out other causes of tachycardia. If positive, a personalized care plan with medication, low-intensity exercise (based on the science behind the CHOP protocol), and hydration strategies are designed (and unlike the VO2Max program above, we avoid high-intensity training to prevent crashes).\n\n# **Why does this matter?**\n\nWe’re facing a **massive primary care shortage**. Simply providing recommended preventive health [would require 27 hours per day from the average primary care doctor](https://www.fiercehealthcare.com/providers/primary-care-docs-need-27-hours-day-provide-guideline-based-care-study-finds)—clearly an impossible task.\n\nWhile [LLMs have already passed medical licensing exams](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931230/), one missing piece has been grounding in objective, physical biomarkers. We think the combination of broadly available consumer devices like Apple Watch (which generates 240,000 data points per year and has multiple FDA clearances) and health information exchanges (which offer objective outcomes, such as hospitalizations or ER visits) makes it possible to ground medical AI in objective physical data.\n\nWant to try it? Book an appointment, or download the app (currently available on iOS and compatible with Apple Watch) at [https://empirical.health.](https://empirical.health)\n\n![](https://media-cldnry.s-nbcnews.com/image/upload/t_fit-1500w,f_auto,q_auto:best/newscms/2016_10/749406/baymax.jpg)\n\n",
        "url": "https://www.ycombinator.com/launches/LIk-empirical-your-personal-healthcare-assistant",
        "votes": 19,
        "created_at": "2024-07-17T04:19:44.857Z"
      },
      {
        "id": 73170,
        "title": "🩺 Empirical Health: Proactive primary care",
        "tagline": "We use AI to scale great primary care for everyone.",
        "body": "**TL;DR:** [Empirical Health](https://empirical.health/) is proactive primary care. You can get medical care for heart health, POTS / long covid, sleep apnea, and other primary care needs directly through our app, starting today.\n\nDownload [Empirical Health on the App Store](https://apps.apple.com/app/apple-store/id6449271489). \n\n## **The Problem**\n\n* **Healthcare is expensive and wasteful**. We spend $1.1T per year reacting to the complications of chronic illness and a fraction of that on prevention. While the best boutique primary care models [reduce hospitalizations by 51%](https://brandonmb.substack.com/p/what-oak-street-health-got-right) and overall medical spend by [15-30%](https://www.healthcaredive.com/news/medicare-direct-contracting-aco-reach-oak-street-clover/637854/), they're labor intensive, expensive, and don’t scale.\n* **Terrible patient experience.** Did you know the average doctor has a net promoter score of -1.2, and that it takes 26 days on average to get an appointment?\n* **Not enough doctors**. It would take a primary care physician [27 hours _per day_](https://www.fiercehealthcare.com/providers/primary-care-docs-need-27-hours-day-provide-guideline-based-care-study-finds) just to deliver the currently-recommended set of preventive screenings, and things are about to get worse: [1 in 4](https://jamanetwork.com/journals/jama/fullarticle/2790791) doctors plan to leave primary care in the next 3 years.\n\n## **Our Solution**\n\nEmpirical Health is **proactive primary care that scales. Using AI, we triage healthcare resources to efficiently manage chronic illness** and succeed in value-based care payment models.\n\n![uploaded image](/media/?type=post&id=73170&key=user_uploads/11792/a630f1a3-c94a-4aad-bd67-21aed986f07b)\n\n* We've built a **fully licensed, registered, insured virtual medical practice**. Within the Empirical Health app, we can help you with annual preventive visits, sick virtual visits, chronic disease management, labs, prescriptions, referrals, and more. Medical care is initially available in California, Texas, Florida, and Hawaii and the app is available globally.\n* **No wait times**. Just start chatting with a doctor immediately.\n* Behind the scenes, our **AI-enabled EMR** software helps our in-house physicians turn raw patient data (e.g, symptoms, past medical records, sensor data from Apple Watch and similar devices) into clinically-useful insights.\n* **Affordable and transparent pricing:** $9/month subscription, with video visits covered by major health insurance.\n\nWe think this is the first step toward building the primary care of the future, making use of both new technologies (AI, consumer health sensors, virtual modalities) and new business models (value-based care).\n\n## **Who are we?**\n\nThe stars aligned to bring our team together — we're a doctor and an engineer who share a deep passion for improving healthcare by bridging a data-driven approach with emerging technologies. We first met at Cardiogram (deep learning for heart health), Brandon’s prior company, where Raquel was a visiting scholar. [Raquel Rodriguez Martinez](https://www.linkedin.com/in/raquel-rodriguez-martinez/) was previously a Clinical Assistant Professor at UC San Francisco and a physician at Kaiser. [Brandon Ballinger](https://www.linkedin.com/in/brandonballinger/) co-founded Cardiogram and also Sift (machine learning for fraud detection, top 50 YC company), and worked on Risk Engineering at Brex, the [HealthCare.gov](http://HealthCare.gov) rescue team, and machine learning at Google.\n\n## **You can help us make healthcare better!**\n\n* Do you use an Apple Watch or need a primary care doctor? Download [Empirical Health on the App Store](https://apps.apple.com/app/apple-store/id1623615785) or check us out on [Product Hunt](https://www.producthunt.com/posts/empirical-health).\n* Do you or someone you know work for a health insurer on value-based payment models? Email [founders@empirical.health](mailto:founders@empirical.health).",
        "url": "https://www.ycombinator.com/launches/J2A-empirical-health-proactive-primary-care",
        "votes": 57,
        "created_at": "2023-07-18T14:38:51.523Z"
      }
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    "id": 28937,
    "name": "LifestyleRx",
    "slug": "lifestylerx",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1bc4c241b5d87cd6eb24ee55548f15212d6dbc10.png",
    "website": "https://lifestylerx.io/",
    "all_locations": "White Rock, BC, Canada; St. Thomas, ON, Canada; Remote",
    "long_description": "LifestyleRx delivers insurance-covered virtual care for Type 2 Diabetes reversal.  Our doctors guide patients through lifestyle changes to reverse the underlying process of diabetes.",
    "one_liner": "Virtual Care for Type 2 Diabetes Reversal",
    "team_size": 9,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare Services",
    "launched_at": 1691079257,
    "tags": [
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    "url": "https://www.ycombinator.com/companies/lifestylerx",
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    "country": "CA",
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        "full_name": "Jason Kerkvliet",
        "title": "Founder",
        "founder_bio": "Founder and CEO, LifestyleRx.  \nRecovering EMR founder, Princeton grad, delivering Type 2 Diabetes reversal to thousands of patients!",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jason-kerkvliet-292685107",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a199473f09d01cbdd77dd1a2b7942a6702de78ca.jpg"
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      {
        "user_id": 1247262,
        "full_name": "Brendan Byrne",
        "title": "Founder",
        "founder_bio": "Founder and Chief Medical Officer, LifestyleRx.\nLifestyle medicine physician and serial entrepreneur.\nHusband, father (x3), runner, skier and outdoors enthusiast.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/brendan-byrne-17274b",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/49f9af9b2becb3cd6784d4cfef78aa6658b4fb5c.jpg"
      },
      {
        "user_id": 1247096,
        "full_name": "Jack Hilliard",
        "title": "Founder",
        "founder_bio": "Seasoned CPA with years of experience growing, scaling and exiting tech-based companies. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jackmhilliard",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/06c95531e8c805a0a18252c352b80e8e8efe0d64.jpg"
      },
      {
        "user_id": 1247086,
        "full_name": "Daniel Pfingstgraef",
        "title": "Founder",
        "founder_bio": "Founder and CTO at LifestyleRx.\nBuilt my first EMR when I was 14 for my parent's audiology practice. Studied Computer Science at Western University (London, ON).",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/pfingstgraef",
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        "id": 73770,
        "title": "LifestyleRx - Virtual care for Type 2 Diabetes reversal",
        "tagline": "We help patients make lifestyle changes to reverse Type 2 Diabetes, covered by existing health insurance",
        "body": "**tl:dr;** LifestyleRx provides virtual care for Type 2 diabetes reversal.  Our doctors guide patients through lifestyle changes to reverse the underlying process of diabetes, billing insurance so we can deliver life-changing outcomes at little or no cost to the patient.  We have 2,000 patients in our program today and are adding 500 more every month.\n\n \n\nWe’re Dan, Brendan, Jason, and Jack, the cofounders of [LifestyleRx](https://lifestylerx.io)!\n\n \n\n![uploaded image](/media/?type=post&id=73770&key=user_uploads/1247082/8009148c-572c-4884-b57d-90dc452a5111)\n\n \n\nWe are all former health tech founders who previously built and exited EMR businesses in Canada.  We’re united by our passion for helping diabetic patients as we all have close family who are diabetic.  And we’re also rooted in a real-world understanding of the complex healthcare system, warts and all, from our years working in it.\n\n \n\n### **Another Diabetes Startup?**\n\nThe market is full of employer-facing diabetes management apps that haven’t worked. Diabetes costs more than $237B in direct medical expenses every year, and there are >100M Americans with either prediabetes or Type 2 diabetes.\n\nThe solution to this problem needs two things:\n\n1. A focus on diabetes reversal, where sustained drug-free remission is the goal.  Lots of apps reduce diabetes costs by \\~5%.  We aim for 95%.\n2. Use the healthcare system we have – bill fee-for-service, accept patient referrals, be covered for everyone with insurance – and build a lean operation to power it.\n\n \n\nWe’re building a modern virtual care provider that can meet this need, combining the best of compassionate physician care with infinitely scalable technology to fit profitably into the real world of insurance reimbursement. \n\n  \n\n### **46% of Patients Reach the Remission Range**\n\nToday we have 2,000 patients in our program, and we deliver 46% of them into the A1C range for diabetic remission – that is, the lab range for someone without diabetes.  This adds years to their lives, offsets hundreds of thousands in lifetime healthcare costs, and significantly reduces the risk of heart disease and cognitive decline.\n\n![timeline](https://media.licdn.com/dms/image/D5622AQFdJxzZM_nMjA/feedshare-shrink_2048_1536/0/1687880971696?e=1694044800&v=beta&t=ofkErOL_pd8t3nbIqMHPtP0_zGCuKCzHaOntjhNkubA)\n\n \n\n### **Doing It Profitably**\n\nThe key to making all of this work is provider leverage.  We make technology that gives our doctors superpowers.  They can complete documentation in a fraction of the time of their peers (<20%) and handle group medical sessions with ease (one of the best-reimbursed services in healthcare because it’s usually so arduous).\n\nWe built our own EMR platform, connecting every decision physicians make to real patient data – including readiness-for-change, behavioral momentum, and more.\n\n![uploaded image](/media/?type=post&id=73770&key=user_uploads/1247082/631140dd-4176-432a-a0dc-e736b9d078e4)\n\n \n\nOur patients spend only a couple of hours with physicians but have more than 20x hours of connection with their physicians – as they learn through personalized content, understand their disease through interactive reports that contextualize their data, and work step-by-step through implementing their recommended lifestyle changes.  In the future we will leverage LLMs to answer patient questions and guide them through changes, further increasing this provider leverage ratio.\n\n![uploaded image](/media/?type=post&id=73770&key=user_uploads/1247082/a6e571be-d442-4c12-a901-97437813c98b)\n\n \n\n \n\n### **We’re going to shrink this market**\n\nDiabetes is a $237B market in the US.  Diabetes reversal and maintenance will be a $36B market.  For every $1 spent on diabetes reversal, we offset $15 spent on diabetes care.  And that’s great because the healthcare system needs those dollars for other things.\n\nType 2 diabetes is just the beginning, as lifestyle medicine can also transform costs across a range of cardiometabolic diseases.  LifestyleRx is the lifestyle prescription for those diseases, and we intend to build a solution that can scale to the size of this vast problem.\n\n\\-\n\nTo get in touch, email [jason@lifestylerx.io](mailto:jason@lifestylerx.io)",
        "url": "https://www.ycombinator.com/launches/JBq-lifestylerx-virtual-care-for-type-2-diabetes-reversal",
        "votes": 20,
        "created_at": "2023-08-03T18:45:06.551Z"
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    "id": 28939,
    "name": "CareOasis",
    "slug": "careoasis",
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      "CaseHopper",
      "Casehopper",
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      "Casehopper",
      "The Care Oasis"
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    "website": "https://www.thecareoasis.com",
    "all_locations": "Dover, DE, USA; Remote",
    "long_description": "",
    "one_liner": "Get Paid for Family Caregiving",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Consumer Health and Wellness",
    "launched_at": 1688331487,
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      "Healthcare",
      "Health Insurance"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
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      "Consumer Health and Wellness"
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    "regions": [
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      "America / Canada",
      "Remote",
      "Fully Remote"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/careoasis",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/careoasis.json",
    "year_founded": 2023,
    "city": "Dover",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/careoasis",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
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    "founders": [
      {
        "user_id": 541118,
        "full_name": "Anuhya Vajapey",
        "title": "Founder",
        "founder_bio": "Background in ML in Healthcare, strategy at McKinsey, product at F5. Currently building in senior care space.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/anuhya-vajapey",
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        "user_id": 594295,
        "full_name": "Juan M Ochoa Ortiz",
        "title": "Founder",
        "founder_bio": "Founder and CTO at Casehopper. Previously at data science and software roles at Microsoft Bing, and Meta. Background building information extraction systems with language models.",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "We're building autonomous robots to make surgery safe, easier and more efficient. Robots currently perform about 1/4 of surgeries but only help with the physical aspects. We use AI to make surgery cognitively easier. This has far greater potential to improve outcomes and reduce costs. Founded by 3x founders from medtech and autonomous vehicles, we're on track to be the fastest surgical robot to market of all time. First indication is prostate enucleation.",
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    "team_size": 12,
    "industry": "Healthcare",
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    "launched_at": 1684515035,
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      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
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        "user_id": 4171,
        "full_name": "Nick Damiano",
        "title": "Founder",
        "founder_bio": "First YC medtech founder and only 2x YC medtech founder; \nCo-founder & CEO @ Andromeda Surgical S23;\nFounder & CEO @ Zenflow W15 - treated > 300 patients so far, Class 3 FDA approval, raised > $100M;\nCo-founder & CTO @ Avail MedSystems (f.k.a. Nurep, acq. by Mendaera) - launched in 1000 hospitals, raised $120M;\nVenture Partner @ Pioneer Fund;\nStanford Biodesign Innovation Fellow & Stanford MS/BS;\nGeneralist/SW engineer;\nDad to two daughters;\nSemicolon enthusiast;",
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        "linkedin_url": "https://linkedin.com/in/nickdamiano",
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        "user_id": 37368,
        "full_name": "Kartik Tiwari",
        "title": "Founder",
        "founder_bio": "Background in robotics\n3x technical founder, 2x YC founder\nLed the team at Starsky Robotics to become the first in the world to have a driverless truck on a public road",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/profile/public-profile-settings?trk=prof-edit-edit-public_profile",
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        "id": 62175,
        "title": "Robotics Controls Engineer",
        "url": "https://www.ycombinator.com/companies/andromeda-surgical/jobs/EiC4MLO-robotics-controls-engineer",
        "location": "South San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$150K - $250K",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
          "C++",
          "Python"
        ]
      },
      {
        "id": 66541,
        "title": "Senior Software engineer",
        "url": "https://www.ycombinator.com/companies/andromeda-surgical/jobs/0NF6Ie3-senior-software-engineer",
        "location": "South San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $250K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 80395,
        "title": "UX Designer",
        "url": "https://www.ycombinator.com/companies/andromeda-surgical/jobs/dTs6gll-ux-designer",
        "location": "South San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$150K - $250K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
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      {
        "id": 83839,
        "title": "Lead Hardware Engineer",
        "url": "https://www.ycombinator.com/companies/andromeda-surgical/jobs/93sD4oD-lead-hardware-engineer",
        "location": "South San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$140K - $200K",
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        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
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          "Python",
          "Linux",
          "CAD Design"
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        "id": 108088,
        "title": "Machine Learning Engineer",
        "url": "https://www.ycombinator.com/companies/andromeda-surgical/jobs/l9lWEvX-machine-learning-engineer",
        "location": "South San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $250K",
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        "experience": "3+ years",
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          "Torch/PyTorch",
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      {
        "id": 74646,
        "title": "Andromeda Surgical: Autonomous surgical robots 🦾🏥",
        "tagline": "Autonomous robots that use AI to elevate every surgeon to world expert level and deliver consistently great patient outcomes",
        "body": "tl;dr: We’re [Andromeda Surgical](https://andromedasurgical.com/) and we’re building autonomous surgical robots. We’re a team of two 3x founders and 2x YC founders from medtech and autonomous vehicles. Our AI-assisted robots will empower every surgeon to operate at world expert level for every procedure, every time, with minimal training. We’re starting with a proven urologic procedure that can treat over half a million patients per year in the US alone.\n\n \n\n**About Us**\n\nHi everyone, we’re Nick and Kartik, the co-founders of Andromeda Surgical. Nick has founded medtech companies collectively worth over $1 billion whose products are used in over 1,000 medical facilities. Kartik led the team that built and launched the world’s first autonomous truck to operate driverless on US highways. We were both YC alums before this batch, Nick with Zenflow (W15) and Kartik with Starsky Robotics (S16). We met through [YC Co-Founder Matching](https://www.ycombinator.com/cofounder-matching) and realized we could apply the same principles underlying self-driving vehicles to fundamentally change how surgery is performed.\n\n![uploaded image](/media/?type=post&id=74646&key=user_uploads/4171/baf84b2c-4724-43aa-b88d-fc1980e4a389)\n\n\n**Problem**\n\nHuman mental and physical capabilities limit surgical outcomes. Existing surgical robotics companies focus almost exclusively on solving the physical challenges, making surgical movements more ergonomic and precise. These improvements alone have revolutionized surgery and spawned a large and fast-growing industry, led by [Intuitive Surgical](https://www.intuitive.com/en-us) ($108 billion market cap). Surgeons love to use these products and patients eagerly sign up for robotic procedures.\n\nDespite the proliferation of robotics in surgery, the clinical need to reduce complication rates remains largely unmet. Almost one third of patients undergoing surgery experience complications, and 8% experience major complications \\[1\\]. Many surgeons have told us they blame themselves for sub-optimal outcomes, and this adds significant stress to their lives. As AI becomes more powerful, it offers tremendous potential to improve surgical decision making and reduce complication rates.\n\n**Our Solution**\n\nAndromeda uses AI to augment surgeons’ mental and cognitive faculties. We’re starting with a common prostate procedure that can treat over half a million patients per year and has better outcomes than all alternatives. Its steep learning curve limits the number of urologists who can perform it. The procedure is algorithmically simple, but it’s hard for urologists to know exactly where they are and what they’re seeing, resulting in mistakes and delays. We’ve designed a GPS-like location system to help surgeons accurately orient themselves and perform the best possible action in every moment.\n\n![uploaded image](/media/?type=post&id=74646&key=user_uploads/4171/e37dbeac-932f-42bc-b896-954c0c4c0fcb)\n\nAfter launching, we’ll expand into other urologic procedures and then beyond. Whereas most surgical robots focus on multi-port laparoscopic procedures, we’re starting with natural orifice procedures that tend to be less mechanically complex. We’re a hardware-lite company and built our simple yet versatile robot in just three months. The main value we’ll provide is in our software. Our long-term vision is to enhance all surgeons’ abilities with AI, empowering them to perform a broad range of procedures at expert level and deliver consistently optimal outcomes to patients.\n\n**Asks**\n\n·      We’re hiring robotics and HRI/industrial design engineers\n\n·      We’re looking to meet urologists who can partner with us on data collection and future clinical trials\n\nPlease reach out at [info@andromedasurgical.com](mailto:info@andromedasurgical.com) if you’re interested to help us build the future of surgery.\n\n\\[1\\] <https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9714582/>",
        "url": "https://www.ycombinator.com/launches/JPy-andromeda-surgical-autonomous-surgical-robots",
        "votes": 46,
        "created_at": "2023-09-06T13:49:39.308Z"
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    "name": "Elythea",
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    "website": "https://elythea.org/",
    "all_locations": "San Diego, CA, USA",
    "long_description": "Over 80% of maternal mortalities were preventable with earlier intervention. Currently, doctors miss >50% of moms who have life-threatening complications and wait until labor to start doing manual risk assessments, at which point it's too late.\r\n\r\nElythea's proprietary ML models catch life-threatening obstetric complications (like postpartum hemorrhage, preeclampsia/eclampsia, emergency c-section, preterm labor, and more) as soon as the first visit. We automatically analyze relevant demographic and clinical risk factors, flag high-risk patients, and provide evidence-based interventions, giving doctors months in advance to intervene and prevent complications from ever happening.\r\n\r\nOur global clinical studies have shown that we can catch 3x more complications than clinical judgment 10x sooner. ",
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    "industry": "Healthcare",
    "subindustry": "Healthcare",
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    "tags": [
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      "Digital Health",
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      "AI",
      "ML"
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    "country": "US",
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        "full_name": "Reetam Ganguli",
        "title": "Founder",
        "founder_bio": "Got into Med school at Brown at 17, was studying to be an OBGYN, and dropped out to do Elythea. 1st authored 20+ publications, including multiple Nature journals. Previously founded and scaled a medical education organization across 30+ countries.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/reetamganguli",
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      {
        "id": 74096,
        "title": "Elythea: Preventing maternal mortality with ML",
        "tagline": "80%+ of pregnancy deaths are preventable. We use ML to catch and prevent life-threatening complications starting from the 1st visit.",
        "body": "# **🏆 TL;DR:**\n\nDoctors miss >50% of the life-threatening complications of pregnancy. We are an ML platform that integrates into the EHR to flag high-risk patients as early as their 1st visit, so doctors can intervene months before delivery.\n\n### **❌ The Problem**\n\nOver 80% of cases of maternal mortality are preventable with earlier intervention (CDC). Risk assessments in the status quo have low high-risk detection rates, which hurt a doctor’s ability to administer preventative care and ensure safe, healthy deliveries. \n\n**Doctors currently miss more than 50% of patients who have life-threatening complications and wait until labor to start doing manual risk assessments, at which point it's too late.**\n\nEach of these complications cost providers between $3K-15K per case and can cost payors up to $75k per case. \n\n**These major pregnancy complications cost insurers >$55B annually**!\n\n**📚Quick Quiz**: Hemorrhage (excessive bleeding) is the #1 killer of moms during labor. What percent of all moms that hemorrhage do you think doctors currently identify as high risk?\n\n**✔️Answer**: 22%. Yep, in 2023, doctors have to manually tabulate a risk assessment when patients are on the delivery bed and still fail to classify >75% of hemorrhage cases as high risk. Elythea catches 2x-3x more hemorrhaging patients as early as the first visit, evolving over the course of a pregnancy with patient visits.\n\n### **🌟 Our Solution**\n\n![uploaded image](/media/?type=post&id=74096&key=user_uploads/483063/6201ae97-898f-4d97-a435-839e7178f7a1)\n\nEarlier intervention and improved clinical preparation have been shown to **prevent nearly two-thirds of severe maternal complications**. Elythea's ML models flag high-risk patients as soon as the first visit and evolve over the course of a pregnancy.\n\n**We automatically analyze relevant demographic and clinical risk factors, flag high-risk patients, and provide evidence-based interventions, giving doctors weeks to months in advance to intervene and prevent complications from ever happening**.\n\nWe predict risk for conditions like postpartum hemorrhage, preeclampsia/eclampsia, emergency C-section, preterm labor, and more.\n\nWe have completed prospective international clinical studies across USA, Cameroon, and Nigeria demonstrating that our models have better performance than current gold-standard clinical tools. **Our global clinical studies have shown that we can catch 2-3x more moms with complications than current clinical risk assessments >10x sooner.**\n\n### **📖 The Backstory**\n\nReetam was on the medical school track to be a high-risk obstetrician and read all the standard OBGYN medical textbooks. He came across this problem after interviewing 80+ obstetric providers, where the vast majority pointed him toward the direction of postpartum hemorrhage and hypertensive complications. \n\n**Reetam** previously founded Junior Medical Academy, a global medical education nonprofit accessible to students across 30+ countries, and Survivor Central, a national platform matching survivors of sexual assault/domestic violence with medical/legal/financial resources. He has 1st authored >15 accepted medical publications, including in multiple Nature Journals. He studied cancer engineering at Brown and left medical school to work on Elythea full-time. \n\n### **🙏 Asks**\n\n* **Share this post!** We want to help as many high-risk moms as possible, any intro helps!\n* Connect us with **Providers** (obstetricians and MFM doctors, obstetric private practices, and hospital C-suite executives) \n* Connect us with **Health Plans**\n* Connect us with innovative maternity care startups that can benefit from our AI models!\\\n  \\\n  _\\* quick blurb to copy & paste:_ \\\n  I came across Elythea, a YC S23 startup that uses ML to predict and prevent pregnancy complications as soon as the 1st visit! They integrate into EHR systems and flag complications like hemorrhage, preeclampsia, preterm labor, and emergency C-sections, helping to prevent them from happening. Check them out at <http://elythea.org/> or contact them at [info@elythea.org](mailto:info@elythea.org) to learn more!",
        "url": "https://www.ycombinator.com/launches/JH6-elythea-preventing-maternal-mortality-with-ml",
        "votes": 140,
        "created_at": "2023-08-15T01:22:26.863Z"
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    "id": 29051,
    "name": "Nanograb",
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    "website": "https://nanograb.com",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Nanograb is a computational drug discovery company that uses AI to create novel targeted non-viral gene therapy vectors. Our platform designs unique combinations of small peptide binders attached to nanoparticles to safely deliver genetic medicines to specific cells and tissues in the body at scale. ",
    "one_liner": "Deliver genes to any cell with AI",
    "team_size": 5,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Drug Discovery and Delivery",
    "launched_at": 1688618716,
    "tags": [
      "AI-powered Drug Discovery",
      "Nanomedicine",
      "Biotech",
      "Drug Delivery",
      "Therapeutics"
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    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
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    "regions": [
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      "Europe"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/nanograb",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/nanograb.json",
    "year_founded": 2023,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/94221598",
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        "user_id": 983241,
        "full_name": "Debesh Mandal",
        "title": "Founder",
        "founder_bio": "Co-founder and CEO of Nanograb. PhD in Computational Biophysics from Imperial College London. Experienced in molecular simulations and building software for scientists. First software hire at Fabricnano",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/debeshmandal",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3ead4cccc4160ea682b2035a3c1680aa154e1808.jpg"
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      {
        "user_id": 790668,
        "full_name": "Christopher Lau",
        "title": "Founder",
        "founder_bio": "Co-founder of Nanograb. M.Eng Biomaterials and Tissue Engineering at Imperial College London. Biomedical engineering experience developing biosensors using aptamers, and a drug delivery device for hypertension management.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/christopher-lau-542798151",
        "x_url": "https://twitter.com/lauhoyeung",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e715a57f758c8646639b497cdc0b29b013e14ec3.jpg"
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      {
        "user_id": 986167,
        "full_name": "Shanil Panara",
        "title": "Founder",
        "founder_bio": "Cofounder and in silico lead at Nanograb; Imperial College PhD (dropout); \n\nFascinated by all things compute and physics... all in the name of figuring out real life things!\n\nOtherwise, I love singing and music in general. Fun fact: I was in an a cappella group for 5 years :)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/shanilpanara",
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    "launches": [
      {
        "id": 115774,
        "title": "Nanograb: Deliver mRNA to any cell with AI",
        "tagline": "Announcing NGX1, a platform for designing multi-peptide targeted lipid nanoparticles (tLNPs)",
        "body": "**TLDR** Nanograb is announcing NGX1, a universal navigation system for mRNA drugs to deliver cures for any disease. Moderna proved that mRNA will transform skin cancer care, we expand this to all diseases.\n\n<https://youtu.be/ORfErxU5OKk>\n\nDelivery is one of the most important problems stopping life-changing mRNA drugs reaching millions. There are over 3,000 different cell types in the body, but mRNA drug developers can only hit 1% of them. The problem is so pressing that multiple public biopharma partners are paying for early access to NGX1.\n\n![uploaded image](/media/?type=post&id=115774&key=user_uploads/983241/4aac129e-0ad7-45af-9e54-ea4997a5c9d4)\n\n**Works the first time, every time.** There are more peptide sequences than atoms in the universe. Most approaches to solve delivery rely on screening thousands of formulations. NGX1’s biophysics-informed models achieved >25% hit rates on the first try across different targets in mice (4x improvement in cancer cells, 15x for immune cells).\n\n**We hit any cell, any state.** All cells have receptors. Their combination makes up a unique fingerprint. Most people try and target individual receptors whereas we can target the fingerprint, enabled by multivalent physics. We’re creating new drugs that have never existed before. \n\n**NGX1 solves major scale-up issues upfront.** Scaling up targeted mRNA drugs to millions of people is hard because of complex biomanufacturing requirements. Nanograb circumvents these requirements by utilising short peptides instead of antibodies or other biologics.\n\n**15 years of physics research powers NGX1.** Our team includes the foundational researchers of the multivalent biophysics models powering our platform. Our founding team are scientists from Imperial, Oxford and Cambridge.\n\n![uploaded image](/media/?type=post&id=115774&key=user_uploads/983241/1afa2be9-6b73-405a-9931-042318f53d19)\n\nModerna has already shown that mRNA drugs are the future. Eli Lilly showed that mRNA’s potential to be a one-time solution for high cholesterol could help the entire global population. NGX1 is the first step to realising a future where millions of people can access mRNA therapies.\n\nLearn more at [nanograb.com](http://nanograb.com) or reach out via [platform@nanograb.com](mailto:platform@nanograb.com).",
        "url": "https://www.ycombinator.com/launches/U7K-nanograb-deliver-mrna-to-any-cell-with-ai",
        "votes": 10,
        "created_at": "2026-09-17T15:45:22.879Z"
      },
      {
        "id": 73562,
        "title": "🧪 Nanograb - Multivalent nanoparticles for next-generation targeted drugs",
        "tagline": "We use AI to generate the best combination of binders to treat different diseases",
        "body": "## 💊 **70% of drugs fail in clinical trials because of poor targeting**\n\nThese drugs need lower dosages due to their side effects. Targeting would minimise these side effects and mean that a smaller, more effective dose could be given to a patient. But there are no existing platforms for creating drugs that will target exactly where they need to be in the body.\n\nFor example in cancer, when scientists try to create targeted drugs, they use molecules like antibodies that attach to the cancerous cell at a single site on a single receptor. Since these cancerous cells have the same receptors as healthy cells, both types are killed by toxic payloads!\n\n![uploaded image](/media/?type=post&id=73562&key=user_uploads/983241/0e15bd9d-4ee0-419f-a114-8311a2bc4fa1)\n\n## 🎯 **Our product allows drugs to be targeted to very specific areas of the body**\n\nWe generate the best combination of binders using AI and a multivalent physics engine. We will do what no other technology is able to do:\n\n* Actively minimise binding to the wrong targets\n* Target new parts of the body that have been previously inaccessible\n\nNanograb’s vision is to transform the therapeutic landscape across the entire healthcare spectrum. Nanograb will be creating new therapies on-demand with next-generation targeting whether it’s [infinitely mutating cancers](https://www.nature.com/articles/s41586-023-05729-x), [incurable neurodegenerative diseases](https://en.wikipedia.org/wiki/Neurodegenerative_disease) or [Disease X](https://en.wikipedia.org/wiki/Disease_X)\n\nOur scalable platform has proof of concept data _in vitro_ and _in vivo_ and our goal is to scale these methods to dozens of different applications.\n\n![uploaded image](/media/?type=post&id=73562&key=user_uploads/983241/9bd664c7-6e5f-4bb5-8ccc-bc6a89f951f3)\n\n## **🧠 Our founding team are experts in the field**\n\n* [**Debesh Mandal**](https://linkedin.com/in/debeshmandal) (CEO) completed PhD in computational biophysics and was the first software hire at FabricNano.\n* [**Shanil Panara**](https://linkedin.com/in/shanilpanara) (_In Silico_ Lead) dropped out of PhD to be our in silico lead, pioneering the deployment of our computational pipeline.\n* [**Christopher Lau**](https://linkedin.com/in/christopher-lau-54279815) (Product Lead) has experience delivering projects in energy, finance and biotechnology and brings a wealth of learnings from many industries.\n* [**Dr. Stefano Angioletti-Uberti**](https://www.linkedin.com/in/stefano-angioletti-uberti-b8319860/) (CSO) is the world leader in our theory having published the foundational papers on multivalency.\n* [**Professor Molly Stevens**](https://www.linkedin.com/in/molly-stevens-81742822/) (Advisor) won the Novo Nordisk Prize 2023 and her research group are recognised as pioneers in the biotechnology space.\n\n![uploaded image](/media/?type=post&id=73562&key=user_uploads/983241/3faaa3cd-9ab7-47c1-8a7b-5fe4792cfa53)\n\n## **📢 Get in touch **[**here**](mailto:hello+launchbf@nanograb.com)** if you can help:**\n\n* We are building partnerships with **biopharma companies** and would love any introductions to **principal scientists** or **business leaders** who want to work with us.\n* If you are a **doctor** or **know any doctors** who would enjoy sitting on **our scientific advisory board,** we want to talk about these areas:\n  * Cancer\n  * Degenerative Diseases (e.g. for internal organs)\n  * Infectious Diseases\n  * Neurological Conditions",
        "url": "https://www.ycombinator.com/launches/J8U-nanograb-multivalent-nanoparticles-for-next-generation-targeted-drugs",
        "votes": 159,
        "created_at": "2023-07-29T03:10:09.478Z"
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    "id": 29072,
    "name": "Certainly Health",
    "slug": "certainly-health",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/93fd33b253eec852e7690d78d4114094de9ecc0c.png",
    "website": "https://certainlyhealth.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Patients enter their insurance and visit reason, and we use machine learning to predict and guarantee their out-of-pocket costs for every health provider.  For health providers, we ensure their patients always pay the bill.",
    "one_liner": "Marketplace to book doctors and avoid surprise bills",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1690515660,
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    "top_company": false,
    "isHiring": false,
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    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/certainly-health",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/certainly-health.json",
    "year_founded": null,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/certainly-health/",
    "x_url": "https://twitter.com/CertainlyHealth",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/certainly-health",
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        "user_id": 527933,
        "full_name": "Kevin Chiu",
        "title": "Founder",
        "founder_bio": "Co-founder and CEO of Certainly Health. Previously worked at Uber for 7 years, was a founding member of the Uber Health team which grew to 100m in gross bookings in 2 years.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/kevin-chiu-20ba902b",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b2b171bb4d0af3e80087f5489259ca537e1f7ba0.jpg"
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    "news": [
      {
        "title": "Healthcare price transparency marketplace Certainly Health raises $2.3M",
        "url": "https://vator.tv/news/2023-12-13-healthcare-price-transparency-marketplace-certainly-health-raises-23m",
        "date": "Dec 13, 2023"
      }
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    "launches": [
      {
        "id": 73596,
        "title": "Certainly Health: Marketplace to shop for doctors with upfront out-of-pocket costs",
        "tagline": "We predict and guarantee out-of-pocket costs using each patient's insurance and ML to prevent surprise bills.",
        "body": "# **TL;DR**\n\n[Certainly Health](https://certainlyhealth.com/?src=launch_yc) enables patients to shop for doctors by predicting and guaranteeing out-of-pocket costs using their insurance and ML.\n\nFor providers, we guarantee any patient we send them will always pay.\n\n![uploaded image](/media/?type=post&id=73596&key=user_uploads/527933/ae585f7e-1f25-41df-ba1f-0a73df848164)\n\n# **The Problem**\n\n* 38% of Americans delay medical care for fear of the bill and 57% of Americans have received a surprise medical bill.\n* Prices vary from 2-10x across health providers, but patients can’t see upfront prices to choose the most affordable option.\n* 56% of workers have high deductible health plans, increasing every year over the last decade from 30% in 2013, so more people are liable for more of the bill.\n\n# **The Solution**\n\n* Certainly Health is a **marketplace for patients to book doctors with upfront out-of-pocket costs**\n  * Enter your insurance to view guaranteed out-of-pocket costs\n  * Compare prices across doctors\n  * Book the best option for you without worrying about surprise bills\n* Unlocked by the July 2022 **Transparency in Coverage Rule** that requires health insurance companies to publish prices, we predict out-of-pocket costs using:\n  * Payer published rates for procedures\n  * Patient eligibility/benefits information\n  * Online learning model to account for variance across thousands of plans\n\n# **About Us**\n\nWe’ve both received surprise medical bills for thousands of dollars, so solving this problem is personal to us. And we have deep experience building marketplaces.\n\n[Kevin Chiu](https://www.linkedin.com/in/kevin-chiu-20ba902b/) graduated from Stanford before working at Uber for 7 years. During that time, he was a founding member of the Uber Health team which grew to $100m in gross bookings in two years.\n\n[Daryl Sew](https://www.linkedin.com/in/darylsew) graduated from Cornell. He spent 6 years applying AI to self-driving cars and worked at XPeng where he published an ML paper. He then started a YC backed food delivery marketplace that grew to $4m GMV.\n\n# **Our offer**\n\nCertainly Health can be your go-to service for booking doctor appointments with price transparency (only in NYC for now).\n\nWe’ve also added the ability to compare prices and book cosmetic procedures (e.g. Botox, microneedling).\n\n# **Our ask**\n\n* If you need to book a doctor in NYC, please give us a try at [**certainlyhealth.com**](https://certainlyhealth.com/?src=launch_yc)\n  * Or if you know anyone who wants to see a doctor in NYC, please share Certainly with them!\n* We would love to connect if you know any health providers who may be interested in getting patients from our platform.\n* We would love to hear your stories of negative healthcare billing experiences as we determine which use cases to focus on\n\nPlease reach out at [founders@certainlyhealth.com](mailto:founders@certainlyhealth.com) if you have any feedback, and let us know what doctors, procedures, or services you would like to see on our website!",
        "url": "https://www.ycombinator.com/launches/J92-certainly-health-marketplace-to-shop-for-doctors-with-upfront-out-of-pocket-costs",
        "votes": 66,
        "created_at": "2023-07-31T13:49:57.234Z"
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    "id": 29085,
    "name": "Quill Bills",
    "slug": "quill-bills",
    "former_names": [
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    "website": "https://quillbills.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Quill Bills is a medical billing company that works with healthcare providers to significantly lower billing costs and recover denied claims.\r\nOur platform performs much of a biller's job autonomously, and we sell this platform to private practice doctors and medical MSOs.",
    "one_liner": "AI-Powered Medical Billing",
    "team_size": 3,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1685991991,
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      "Health Insurance",
      "Healthcare IT",
      "Billing",
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    "isHiring": true,
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    "batch": "Summer 2023",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "url": "https://www.ycombinator.com/companies/quill-bills",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/quill-bills.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/quill-bills/",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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    "founders": [
      {
        "user_id": 1188332,
        "full_name": "Gabriel Banks",
        "title": "Founder",
        "founder_bio": "Love to touch computer all day",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/gabriel-banks-662548230",
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      },
      {
        "user_id": 820106,
        "full_name": "Kartik Donepudi",
        "title": "Founder",
        "founder_bio": "Quill AI, Computer Science and Economics at MIT",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/kartik-donepudi-763a22167",
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        "id": 90846,
        "title": "Founding Business Development",
        "url": "https://www.ycombinator.com/companies/quill-bills/jobs/cPBK2hG-founding-business-development",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$60K - $120K",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
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        "title": "Quill Bills: AI billing that makes doctors more money!",
        "tagline": "Transparent, Fast, and Affordable Medical Billing Agency",
        "body": "\n**The Problem**\n\nRight now, every doctor in the US pays for human billers. Some of them outsource it to a billing agency which charges them anywhere from 2% to _10% of total revenue_. (that’s crazy!)\n\nThat on its own is expensive, but there’s also another problem: Since processing bills is expensive, up to **30%** of all claim revenue is denied by health insurance companies, and no follow up is made by the biller to fight it.\n\n**The Solution**\n\nDoctors in the US right now are being charged up to 10% on their bottom line and losing up to 30% of their top line revenue.\n\nWell, we’ve figured out how to fix this problem, by making it a lot cheaper to do billing. We’ve figured out how to do it (nearly) all with AI. We have a team of human billers to do manual checks, but they can process orders of magnitude more claims than a biller doing it manually (which is all of them right now).\n\nThis means we can not only charge lower fees, but also we have more bandwidth to fight that 30% denial rate! So we typically end up making doctors more money.\n\nWe’ve got decades of billing experience on our team, and are already deployed with clinics and hospitals in the US processing millions of dollars in annual claim revenue.\n\n**Offer for Doctors**\n\nIf you or somebody you know is a doctor, we can help them make up to 30% more money every year!\n\nWe have a limited offer for the next 10 clinics/hospitals we bring on: **We’ll do your billing as a white-glove service for a flat 1.8% fee (+ no onboarding fee)**. This is way below market price. Just tell them to ask for the YC discount.\n\n**Links**\n\nhttps://quillbills.com\n\n**Asks**\n\nPlease send us any doctors you know! Doctors who own their own practices are our happiest customers.\n\n![uploaded image](/media/?type=post&id=93732&key=user_uploads/89898/609faa41-c675-45cf-b5f1-c7cbf7c57fd8)\n\n",
        "url": "https://www.ycombinator.com/launches/ONo-quill-bills-ai-billing-that-makes-doctors-more-money",
        "votes": 24,
        "created_at": "2025-09-10T00:32:22.403Z"
      },
      {
        "id": 81746,
        "title": "Quill AI: A 10x more efficient equity research platform",
        "tagline": "Turn PDFs into spreadsheets, export data with citations, and get up to speed on earnings performance within seconds of release",
        "body": "**tl;dr** We are using LLMs to speed up the equity research process by taking the pain out of working with financial filings.\n\n**Problem 1:** **Pulling tables from SEC filings**\n\nThe de-facto current solution is a tool called BamSEC. However, there are a couple of problems with it: a) They don’t provide citation links to their numbers, and b) To merge data from previous filings, you can only do it one table at a time.\n\nQuill solves both these problems. Take a look:\n\n![uploaded image](/media/?type=post&id=81746&key=user_uploads/1188332/a0ad69cc-e3d1-44e3-be24-11b74b4c7147)\n\n**Problem 2: PDFs → Excel is painful**\n\nThis flow normally involves a lot of number-by-number copy-pasting. Quill lets you skip that and turn any PDF into a spreadsheet (extracting all reported numbers and tables) – with citation links for each number.\n\n![uploaded image](/media/?type=post&id=81746&key=user_uploads/1188332/e60269ce-c233-48e5-a639-b4bf03e5d709)\n\n**Problem 3: Earnings season is extremely hectic**\n\nEvery quarter, companies report earnings and investors have to quickly digest the performance, guidance, and Q&A sections of the earnings calls for each of their 20-40 portfolio companies before forming an investment opinion.\n\nQuill lets you digest these sections in an instant. Instead of reading through the raw calls, you get a dashboard that explains the main reported performance and guidance metrics, the key points in management’s commentary, and the key concerns of Wall Street analysts.\n\nFaster workflows mean you can cover more companies per quarter.\n\n![uploaded image](/media/?type=post&id=81746&key=user_uploads/1188332/bf27d425-881e-4da3-8c2d-373a4eff5244)\n\nWe’ve been working hard on these features and would love to get the word out! If you know people who work in:\n\n* Hedge funds\n* Investment banks\n* Equity research\n\nWe’d love to talk to them!\n\nOur website is <https://quillai.com>\n\nReach out to us at [founders@quillai.com](mailto:founders@quillai.com)\n\nBest,\n\nGabriel and Kartik",
        "url": "https://www.ycombinator.com/launches/LGU-quill-ai-a-10x-more-efficient-equity-research-platform",
        "votes": 27,
        "created_at": "2024-06-25T21:56:44.151Z"
      },
      {
        "id": 72889,
        "title": "Quill AI: The financial research assistant",
        "tagline": "Meet Quill, the tool that makes financial research a breeze.",
        "body": "**TLDR:** We let investors a) extract information from SEC filings just by asking, and b) screen stocks much faster. If you have friends in finance who want to get more sleep this week, send them to [quillai.co](http://quillai.co)!\n\nQuill AI lets you search through SEC filings and screen stocks on command. And we don’t just summarize the information - we point you right to the source, making it easy to audit the results.\n\n**The Problem(s)**\n\n* Investors spend hours reading SEC filings looking for key bits of information to use in their models/reports.\n* Existing AI info extraction tools don’t cite sources very well - making them difficult to audit. They also aren’t tuned for financial filings.\n* Current stock screeners require an annoying filtering process to produce meaningful lists of investment opportunities.\n\n**The Solution**\n\n* Quill’s web app, which lets you search for key pieces of information across financial documents in Q&A format.\n\n![uploaded image](/media/?type=post&id=72889&key=user_uploads/820106/c53e2745-e899-4fbe-90c3-341f984067b5)\n\n* Quill’s natural language screener, which lets you ask for stocks matching your desired criteria.\n\n![uploaded image](/media/?type=post&id=72889&key=user_uploads/820106/dec91582-cca8-4c34-ab17-bec911fe7fba)\n\n**Our Ask**\n\n* If you’re an investor or you work in finance, give Quill a shot at [quillai.com](http://quillai.com) – we’re giving users a 7-day free trial. \n* Try the tool. If you think your whole team could benefit from it, send us a message at [founders@quillai.com](mailto:founders@quillai.com) and we’ll get you up and running.\n\nThank you!",
        "url": "https://www.ycombinator.com/launches/Ixd-quill-ai-the-financial-research-assistant",
        "votes": 125,
        "created_at": "2023-07-09T19:28:15.075Z"
      }
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    "id": 29088,
    "name": "Cair Health",
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    "website": "https://www.cairhealth.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Cair Health empowers billing companies, care management platforms, EHRs, offshore BPOs, provider groups, and specialty pharmacies with AI-driven RCM solutions.  Our suite of AI Agents helps RCM teams streamline operations, reduce manual costs, and improve consistency—while maintaining full control over core workflows. Cair is trusted by 100+ practices across the country — including iconic VC-backed digital health startups, leading specialty EHRs, and some of the largest billing companies and BPOs\r\n\r\nBacked by Y Combinator, Foundation Capital, Soma Capital, Translink Capital & many others.. ",
    "one_liner": "AI Agents for Healthcare RCM",
    "team_size": 6,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1690913334,
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/cair-health.json",
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    "country": "US",
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        "full_name": "Shehbaz Virk",
        "title": "Founder",
        "founder_bio": "Co-Founder @ Cair Health,\nPublic Health & Biochemistry @ UC Berkeley",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/shehbazvirk/",
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        "user_id": 1371723,
        "full_name": "Ishan Balakrishnan",
        "title": "Founder",
        "founder_bio": "Co-Founder @ Cair Health,\nComp Sci & Business @ UC Berkeley",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ishanbalakrishnan",
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    "jobs": [
      {
        "id": 97972,
        "title": "Founding Customer Success Engineer",
        "url": "https://www.ycombinator.com/companies/cair-health/jobs/XuQEfj7-founding-customer-success-engineer",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$110K - $130K",
        "equity_range": "0.10% - 0.20%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "MySQL",
          "PostgreSQL",
          "Python",
          "React",
          "Docker",
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      },
      {
        "id": 98751,
        "title": "Founding Forward Deployed Engineer ",
        "url": "https://www.ycombinator.com/companies/cair-health/jobs/Ye8X3VN-founding-forward-deployed-engineer",
        "location": "Remote (US)",
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        "role_type": "Full stack",
        "salary_range": "$110K - $130K",
        "equity_range": "0.10% - 0.30%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 98752,
        "title": "Software Engineer (SWE)",
        "url": "https://www.ycombinator.com/companies/cair-health/jobs/3oPirfm-software-engineer-swe",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $150K",
        "equity_range": "0.10% - 0.40%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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    "id": 29102,
    "name": "Kips Health",
    "slug": "kips-health",
    "former_names": [
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      "Tally",
      "Persona",
      "Fable",
      "Advent"
    ],
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    "website": "",
    "all_locations": "Los Angeles, CA, USA",
    "long_description": "Kips Health enables physical therapists to automatically collect RTM reimbursements with only 5 minutes of work.",
    "one_liner": "The only patient engagement software that pays you.",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Consumer Health and Wellness",
    "launched_at": 1692953112,
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      "Consumer Health Services",
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      "AI"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Inactive",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/kips-health",
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    "year_founded": 2023,
    "city": "Los Angeles",
    "country": "US",
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      {
        "user_id": 1402061,
        "full_name": "Jarrett Perkins",
        "title": "Founder",
        "founder_bio": "CEO at Kips Health. Previously SWE @ Asana",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/jarrett-perkins",
        "x_url": "https://twitter.com/jarrett_perkins",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/771670538e7efb4c9c15a298b004a2bfcd952ef0.jpg"
      },
      {
        "user_id": 1392033,
        "full_name": "Eric Wang",
        "title": "Founder",
        "founder_bio": "Product at Wander. Co-founder of Kips Health (S23)\n\nwww.ericwang.app",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/eric-l-wang",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f92145255e5fe265ac7c0f65ce5c2062423c88a6.jpg"
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    "launches": [
      {
        "id": 74451,
        "title": "🎮 Advent - Video games that never end",
        "tagline": "Building the next generation of UGC-first games",
        "body": "### **TL;DR**\n\n[Advent Studios](https://www.adventstudios.gg/) is creating the next generation of video games.\n\n**Games where players are also the creators.**\n\nWith the help of generative AI, players now have an opportunity to dramatically expand on their favorite games. From assets to NPCs, and storylines to dialogue, our games empower every player to create their own in-game content for a never-ending, player-led gaming experience.\n\n### **The Opportunity 💡:**\n\nGaming is already a massive market ($250B in 2022). But unlike traditional game franchises that refresh every few years, games powered by user-generated content (UGC) can maintain massive user bases for decades. \n\nWhy?\n\n**Because players love creating**. Did you know UGC-centric games like Roblox have the highest engagement among all social platforms?  \n\n![](https://lh5.googleusercontent.com/jB6QPulgmRCqaI7SHD2jEWRGSzArapeagaljOa_L1KVBmZV9mVC7toOOOl5SnK-EhGlgTjisD-AhvFhPP8EwgZWQMBPDZFK1-Cz_ptdWJzvoIiltDFChESgHoiFPWQs-M07AR5hSBOGFT9V3VdzaBWg)\n\nAnd with the introduction of generative AI, **we can now unlock a new category of UGC games that weren’t possible before.**\n\n# **Advent Studios 🕹️**\n\nAt Advent Studios, we’re making games that take full advantage of AI and UGC. Some of our early games involve:\n\n* AI narrative storytelling\n* Generative agent NPC’s\n* Customized, generated gaming assets\n* AI-enabled game mechanics\n* User-generated worlds\n\nHere’s a [demo video](https://www.youtube.com/watch?v=WIVqfhI2THs) of how we believe the future of gaming can look:\n\n### **Our Team**\n\nWe met in middle school and we've been best friends ever since. We’re both avid gamers and have put in more hours into Minecraft than we’re comfortable admitting. \n\n![uploaded image](/media/?type=post&id=74451&key=user_uploads/1392033/d6e29b19-ba9c-409c-a046-8212db13873c)\n\n[Eric](https://www.linkedin.com/in/eric-l-wang/): With development experience at Amazon Games and marketing experience on an esports team, Eric already has a wide range of game industry experience. He also supported the launch of two AAA titles during his time at Amazon Games, New World, and Lost Ark, earning development credits on both.\n\n[Jarrett](https://www.linkedin.com/in/jarrett-perkins/): Spent two years with Asana’s Search and Navigation team, helping to refine Asana’s search relevance and leading experiments that increased Asana’s ARR by $2M.\n\n![uploaded image](/media/?type=post&id=74451&key=user_uploads/1392033/e557e34e-68d4-4ac7-a44d-60c903c0698c)\n\n### **Why we’re building Advent**\n\nDuring my time at Amazon Games, I witnessed firsthand how much Amazon struggled to break into the gaming space without strong UGC elements in their games. Now that AI empowers every player to be a creator, we’re on a mission to build the next generation of UGC-first games so every gamer can feel how we felt the first time we played Minecraft.\n\n### **Offer**\n\nFollow us on [twitter](https://twitter.com/playadvent) to get free **lifetime access** to closed beta testing for all of our future games.\n\n### **Asks**\n\nIf you or someone in your network is excited about the future of gaming, we’d love to connect! You can email us at [founders@adventstudios.gg](mailto:founders@adventstudios.gg).",
        "url": "https://www.ycombinator.com/launches/JMp-advent-video-games-that-never-end",
        "votes": 34,
        "created_at": "2023-08-28T20:12:27.112Z"
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    "id": 29107,
    "name": "Saatvy",
    "slug": "saatvy",
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      "Saatvy (by Sero AI)"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Saatvy is a transparent, personalized and natural wellness platform to manage chronic conditions such as gut/sleep disorder, diabetes, arthritis, and postpartum thyroiditis. We do this by personalizing the health plans which are created by experienced and authentic Ayurveda practitioners.\r\n\r\nSeveral people in the USA have trusted us with their natural wellness journeys. The biggest benefit our customers find in the first consultation is understanding the root causes of their health issues, where traditional medicine often falls short. Our Ayurvedic practitioners have decades of experience, with some serving on Ayurveda boards in the USA.",
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    "team_size": 1,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Consumer Health and Wellness",
    "launched_at": 1687725846,
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        "full_name": "Ankur Rustagi",
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        "full_name": "Talha Baig",
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        "title": "Sero AI - help humans keep humans safe online",
        "tagline": "We help maximize the efficiency and precision of Trust and Safety moderation.",
        "body": "**tl;dr:** [Sero AI](https://www.getsero.ai) streamlines the management of safety workflows, such as abuse reports, content moderation, user appeals, and more. It's a workflow manager, augmented with an AI-copilot, designed to elevate the efficiency and precision of human moderators.\n\n![uploaded image](/media/?type=post&id=72896&key=user_uploads/1263379/2a698855-bd77-41ae-9bf8-4f1ab964ffc3)\n\nHi everyone, we are Talha and Ankur (left to right), and we are building Sero AI. Our mission is to empower platforms to keep their users safe. \n\n\\\nWe led safety machine learning teams at Meta and Roblox where we deployed hundreds of AI models to safeguard our users from threats like human trafficking and child endangerment. In this process, we learned the often overlooked yet critical importance of human moderation accuracy for enhancing machine learning enforcement. Inspired by this understanding, we founded Sero AI with the goal to support other companies navigating similar Trust and Safety challenges.\n\n### **🧨 The Problem**\n\nPlatforms hosting user-generated content establish community guidelines and employ a substantial workforce of human moderators. Their role is crucial in enforcing these policies, particularly high risk policies such as child endangerment, hate speech, and harassment. At a large scale, Trust and Safety operations managers face challenges in ensuring moderator quality and consistency. Thus platforms either build in-house bespoke solutions or use non-opinionated tools such as  Zendesk, which leads to high costs, user frustrations, and safety risks. This costs tens of millions of dollars, over-enforces account bans, and causes real life harm.\n\n### **✨ Our Solution**\n\nWe provide an end to end solution for T&S operations management and moderation. Sero AI is the fastest way to set up tailored safety workflows and customize review user interfaces, augmented by a self learning AI-copilot to assist human moderators.\n\n* Easily setup moderation workflows:create tailored moderation workflows such as tiered child safety reviews or a user appeals queue. All in a few clicks.\n* Customize moderation UI: Build custom views with all relevant information in one place. No more jumping across several screens to review a single user.\n* Moderate with AI co-pilot: Accelerate reviews of users, audios, and videos by highlighting harmful sections.\n\nAs Salesforce manages customer relations, Sero AI streamlines Trust and Safety operations.\n\n### **🙏 Our Asks**\n\nIntroduce us to your Trust and Safety friends.\n\n\\* introduction blurb: Former Meta and Roblox team members are building Sero AI - an end to end T&S platform simplifying human moderation workflows. Check out their [website](http://www.getsero.ai) and reach out at [founders@getsero.ai](mailto:founders@getsero.ai) for more.",
        "url": "https://www.ycombinator.com/launches/Ixk-sero-ai-help-humans-keep-humans-safe-online",
        "votes": 27,
        "created_at": "2023-07-10T14:46:48.607Z"
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        "full_name": "Natalia Khosla, MD",
        "title": "Founder",
        "founder_bio": "Natalia is CEO and co-founder of Simbie AI. Before this she completed medical training at the University of Chicago, was a Fulbright Scholar at the LSE where she got her master's in health policy, and was an undergrad at Yale. Prior to Simbie she built DesiSpace, a social network for South Asian immigrants' mental health, and WeDesi, an artists' community building platform. Outside of Simbie, she is a dancer, writer, and does stand-up comedy.",
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        "full_name": "Rachel O’Driscoll",
        "title": "Founder",
        "founder_bio": "Co-Founder of Simbie AI. Rachel began her career in clinical research and quickly transitioned to health tech. She was an early employee at three digital health companies: Formation Bio, Carrot Fertility and Cayaba Care, focused on leveraging technology to increase patient access to healthcare. She loves building in this space and is passionate about bridging the gaps between the clinical and software development worlds.",
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        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/simbie-ai/jobs/W0NFn29-forward-deployed-engineer",
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        "id": 95610,
        "title": "Simbie AI: We get patients to their next appointment",
        "tagline": "Healthcare's system of AI agents owning the between-visit period",
        "body": "Hi YC, we’re [Natalia Khosla MD](https://www.linkedin.com/in/natalia-neha-khosla-md-01968334/) and [Rachel O’Driscoll](https://www.linkedin.com/in/rachel-o-driscoll-896b55147/) from Simbie AI.\n\n# TL;DR\n\nSimbie AI is the AI agents’ system for healthcare follow up, ensuring patients get to their next visit. Today 30% of return visits don’t happen because patients get lost in follow up logistics, costing doctors 10% of revenue. Our clinically intelligent, EHR-integrated AI agents proactively reach out to patients and answer their messages, via text and voice, at vulnerable touchpoints for loss to follow up - after new diagnoses, new meds, or diagnostic tests are ordered - and close the loop on every request, documenting directly in the medical chart, until the patient is handed off to their return visit.\n\n![uploaded image](/media/?type=post&id=95610&key=user_uploads/617488/45df86c7-1f4e-4f3e-b590-8ef0355dc7af)\n\n# Ask: Intros! [founders@simbie.ai](mailto:founders@simbie.ai)\n\n# <https://youtu.be/sobMtQJIwn0>\n\n# Problem: 30% of patients get lost in follow up and don’t make it to their next appointment\n\nNeeding to schedule diagnostic tests like bloodwork or imaging, getting a new med or diagnosis, or general confusion about how to accomplish next steps stop patients from getting there. This loses practices 10% of revenue. Medical groups and hospitals throw expensive people at the problem—sinking 20% of revenue on human staff to chase patients down manually.\n\n# Solution: EHR-integrated Clinical AI agents that see patient questions/barriers through to resolution\n\nBeyond reactively answering phones: Simbie AI proactively reach patients at vulnerable touchpoints and get them back on track, answering their responses and scheduling outreach (call & text) sequentially until loops are closed. \n\n# Accomplished To Date:\n\n* Grown 400X since launching in Jan 2025\n* Used 24/7 in practices across the country \n* 0% churn\n* 100% inbound, $0 CAC due to our unfair advantages: 1) quick trust-gaining of doctor-leadership as a doctor- and clinical operator-led team and 2) viral spread via physician peer-to-peer networks.\n\n# Team & Why:\n\nNatalia and Rachel met during their undergrad days at Yale and have been best friends for 15 years. We are a doctor and clinic operations strategist—this problem is what we each lived for 10 years.\n\n[Natalia Khosla MD MSc](https://www.linkedin.com/in/natalia-neha-khosla-md-msc-01968334/) is a physician from UChicago, Fulbright Scholar, and LSE master’s in health economics. As a doctor herself, and from a family of docs, she has advocated for doctos and their patients throughout her career, recognizing physician burnout and poor patient satisfaction are two sides of the same coin. AI was the turning point she’d been waiting for: infinitely scalable staff to handle the grunt work that depletes doctors and loses patients in the system: making sure no patient is ever lost to follow up again.\n\n[Rachel O’Driscoll](https://www.linkedin.com/in/rachel-o-driscoll-896b55147/) is a clinical ops and strategy veteran with a proven track record: she built Cayaba Care, a brick and mortar and digital health practice, ground-up. As the Ops leader and de facto practice manager overseeing medical assistants and front desk staff firsthand, she saw the inefficiency of human staffing. Before Cayaba, Rachel led private practice onboarding at Formation Bio and designed partnerships with practices at Carrot Fertility. Across all roles, she’s specialized in streamlining clinic operations, improving patient experience, and building scalable systems that support physician groups and health systems.",
        "url": "https://www.ycombinator.com/launches/Os6-simbie-ai-we-get-patients-to-their-next-appointment",
        "votes": 28,
        "created_at": "2025-11-19T20:10:40.668Z"
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      {
        "id": 73955,
        "title": "Simbie AI - Clinically-intelligent AI Voice Agents for Healthcare",
        "tagline": "Our agents answer the phones, call patients, and are EHR integrated.",
        "body": "Hi! We’re Natalia Perina, Rachel O’Driscoll, and Natalia Khosla MD and we’re the founders of Simbie AI.\n\n**TL;DR**\n\n[Simbie AI](https://www.simbie.ai) is an AI voice agents platform for medical practices. Our agents answer practice phone calls, call patients and outside providers for practices, and integrate fully with the EHR.\n\n![uploaded image](/media/?type=post&id=73955&key=user_uploads/617488/e6eeeb33-fdb3-49f9-b10e-c05f7d3b8ea2)\n\n**The Problem: Doctors are overburdened with tasks that take them from their key work: medical decision making.**\n\nDuring medical training, Natalia Khosla identified firsthand the tasks in the overstretched medical workflow that were perfect cases for AI automation - not only administrative, but a step further: medical, clinical, and practice-of-medicine-changing. We apply these insights.\n\n**Our Solution: EHR-Integrated, Clinically Intelligent AI Voice Agents**\n\nOur agents work directly in practices’ EHRs, and are clinically trained to handle all tasks, administrative and beyond. They answer practice phone calls, complete relevant tasks in the EHR, call patients, and document appropriately.\n\n**Our Story & Team**\n\nOur team has been in healthcare for over 20 years combined. After collectively being friends, working together, and scheming about how to reshape healthcare for over 10 years (including as roommates at Yale and colleagues at TrialSpark), we decided to make waves. We are on a mission to leverage technology to expand care access and equity—helping providers practice how they prefer and improving quality of care. \n\n* [Natalia Khosla, MD, MSc](https://www.linkedin.com/in/natalia-neha-khosla-md-01968334/) is a physician who trained at the University of Chicago and a published author in a number of academic medical journals, with a career focus on innovation for health equity and quality—holding strongly that improving systems for the most marginalized improves quality for all. She received her master’s in Inequalities & Health Policy at the London School of Economics as a Fulbright Scholar.\n* [Rachel O’Driscoll](https://www.linkedin.com/in/rachel-o-driscoll-896b55147/) is a clinical operations expert with a decade of experience in high-growth healthcare startups, including launching and operating a tech-enabled OBGYN clinic at Cayaba Care, running US Operations at [Carrot Fertility](https://www.ycombinator.com/companies/carrot-fertility), and managing the Provider Network at TrialSpark.\n* [Natalia Perina](https://www.linkedin.com/in/natalia-perina-48918391/) is a healthcare technical leader, with over 5 years of experience in the space. At TrialSpark, she led the patient recruitment product and data teams to make faster and cheaper clinical trials. She most recently worked on improving public health analytics while at Ratio PBC.\n\n**Asks**\n\n1. Do you know medical practices looking to level up with AI voice agents? [Let us help them](https://founders@simbiehealth.com).\n2. Share this post and follow us on [LinkedIn](https://www.linkedin.com/company/simbie-health/?viewAsMember=true)!",
        "url": "https://www.ycombinator.com/launches/JEp-simbie-ai-clinically-intelligent-ai-voice-agents-for-healthcare",
        "votes": 58,
        "created_at": "2023-08-09T17:03:17.423Z"
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        "full_name": "Justin Spitz",
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        "full_name": "Cleophus Robinson IV",
        "title": "Founder",
        "founder_bio": "Cleo is currently the CTO & co-founder of Wattson Health (YC S23). Previously worked at YouTube driving engagement and satisfaction metrics for key emerging markets, shorts and gen z. At L3 he created a new driver framework for controlling devices on naval vessels. Outside of work, he enjoys being competitive in sports and games; traveling, cooking, concerts and creating music.",
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      {
        "id": 73874,
        "title": "Wattson Health 💊 Pharmacy automation to increase RX throughput & accuracy",
        "tagline": "Connecting fragmented pharmacy systems & automating high error-prone tasks",
        "body": "**TL;DR:** [**Wattson Health**](https://www.wattsonhealth.com/)**’s automation platform integrates with pharmacies' existing systems and enables them to fill prescriptions error-free in a matter of seconds vs. hours or even days.**\n\n### **THE PROBLEM**\n\nMedication errors cost the healthcare industry $40 billion each year, the largest contributor being the manual processes employed by pharmacies. Software development within the pharmacy space has lagged behind other industries. Pharmacies are often saddled with old technology systems that don’t talk to each other. The result is a lot of duct-taped manual solutions in order to fill prescriptions. Entire teams are needed to be hired for data entry and review, costing pharmacies time and money.\n\n### **THE SOLUTION**\n\n[Wattson Health](https://www.wattsonhealth.com/)’s automation platform integrates seamlessly with existing pharmacy software to manage the “prescription lifecycle.”\n\n![uploaded image](/media/?type=post&id=73874&key=user_uploads/337920/71c08cbd-6fc0-4463-accf-f8e2da0cdb35)\n\n* As orders come in, we parse, process, and apply any **auto-curated rules** necessary to progress orders from A to Z in a matter of seconds vs. hours or even days.\n* We run in the background and provide **real-time analytics** and reports.\n* Our **bi-directional APIs** finally provide patients, doctors, and clinics with transparency into the mysterious fulfillment process.\n\n### **THE TEAM**\n\n![uploaded image](/media/?type=post&id=73874&key=user_uploads/337920/6c8b1f3f-f71d-4440-918d-d3b836399f5e)\n\nWe both lived down the hall from each other in our freshman dorm at Stanford back in 2010. Much of our early friendship focused on competitive Super Smash Bros. games (on N64 of course), so much so that we built a robust tracking app to record our matches. Over the last 13 years, we’ve remained close friends and have loved hacking on projects together.\n\n[@Justin Spitz](https://www.linkedin.com/in/justin-spitz/) spent the last 3 years as the first employee of Maximus, a telemedicine startup, scaling it from $0 to $11M in ARR. He saw first-hand how difficult it was to work with pharmacies and built internal tools to streamline operations.\n\n[@Cleophus Robinson IV](https://www.linkedin.com/in/cleor41/) spent the last 6 years at Google & YouTube designing infrastructure and pipelines to facilitate data propagation. He is an expert at building AI/ML models to influence user behavior.\n\nWith Justin’s experience working with pharmacies and Cleo’s background in data pipelines and infrastructure, we’re excited to double down on our skill sets to bring Wattson Health to life.\n\n### **THE ASK**\n\nIf you fall into one of the categories below or know anyone that does, **please reach out**, **introduce us**, or [request a demo](https://www.wattsonhealth.com/) directly on [our website](https://www.wattsonhealth.com/):\n\n* Pharmacy owners, pharmacists, pharmacy techs, etc.\n* EMR/EHR (Electronic Medical/Health Record) companies\n* Telemedicine companies / online clinics\n\nFollow us on [LinkedIn](https://www.linkedin.com/company/wattson-health/) & [𝕏 (Twitter)](https://twitter.com/WattsonHealth) to stay updated – thank you!",
        "url": "https://www.ycombinator.com/launches/JDW-wattson-health-pharmacy-automation-to-increase-rx-throughput-accuracy",
        "votes": 113,
        "created_at": "2023-08-07T18:16:22.231Z"
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    "long_description": "Olio labs uses AI to develop combination therapeutics that consider the thousands of interacting proteins in your body rather than targeting just one or two. Their lead combinations target obesity and are more effective with fewer side effects than Ozempic, the fastest growing drug of all time. Their custom ML built from real-world expertise and cutting edge AI searches trillions of combinations to find the perfect one.",
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        "full_name": "David Tingley",
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        "full_name": "Tom Roseberry",
        "title": "Founder",
        "founder_bio": "Tom has over 15 years of industry experience leading teams and engineering technologies in aerospace, brain machine interfacing, synthetic biology and drug discovery/development. At Neuralink he built and co-led a group that developed a next-generation neural interface. At Loyal he built and led multiple teams as VP of Engineering, Computational Biology and Drug Development.",
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      {
        "id": 73765,
        "title": "Olio Labs - Combination therapeutics for the world's toughest diseases",
        "tagline": "Using AI to design better treatments for disease ",
        "body": "**In short**\n\nOlio labs uses AI to develop combination therapeutics that consider the thousands of interacting proteins in your body rather than targeting just one or two. \n\n**The problem**\n\nDrug discovery focuses on finding therapeutics that target one or two proteins. But proteins are found in many organs throughout the body, which results in side effects. \n\n![](https://lh3.googleusercontent.com/nCXuE0YFP47YFSREM_gvtYJdIdYEY4iqI-SvmYumTPcTycsPM0pa0KmgMrnUoTWmHuJ7PYW8OXC88mmqJU39vB2P_gVb11IK0Erikj9v4cL-9lIIlqsXnHoUbVGboDGr0pEBTV0ozSOTWiL6XjeUmw)\n\nCombinations of therapeutics allow for better targeting in the right places.\n\n![](https://lh4.googleusercontent.com/lkQf4Z1hE3SBtbiHzZLy_GakojBT9WD0HNEvFGnwzdHRMOLU7C1fju9LVOKrY8Zp0L14qhkSr9orPiFmBvFThYwpZsb1KYrkPbWtUYmV8UOCU-Kw5AnA5ZvFhkSb86abKwnQgjODJb6sVmb4j5VxQg)\n\nOptimizing a combination requires testing trillions of combinations, which is impossible _in vitro_ (cell culture) or _in vivo_ (rodents). \n\n**Solution**\n\nWe have developed a computational platform that allows rapid _in silico_ testing to find only the most promising combinations to move forward. \n\n![uploaded image](/media/?type=post&id=73765&key=user_uploads/1288444/02e216ba-c2be-4553-879f-0451a6c89120)\n\nWe have lead combinations that beat the currently available market-leading drugs. \n\n**Who are we?**\n\n![](https://lh4.googleusercontent.com/aAdMatFLBHE8DYk6SKxdxo5PXq8QZQPDYaxsIO6zoUylUVscOekD8f7pIyNhrs7D2fQiCJ99074X5owKeHxQqy9_vb5D2Eb1E9VQpeA2jGQ_gjku46dwsfojMtwJB75KvcofBgbZSmPqhmO1GHuybQ)\n\nDavid and Tom are both systems neuroscientists and worked together on the Computational Biology team at Loyal for Dogs.\n\nIn our PhDs we used research tools that allowed single neurons to be turned on or off in order to test their function. These tools are not available in humans, but is there another way to be this precise? Combinations of therapeutics make it possible.\n\nWe are a new type of scientist that has emerged over the past decade - as comfortable working at the bench as we are in the codebase. This means we have a full understanding of the problems and tools, from cell to model, with no disconnect between engineers and scientists. We are looking to automate every aspect of the drug discovery and development process and expand our platform into multiple indications. \n\n**Get in touch with us if you can help us find:**\n\n* **Connections** in mid to large **pharmaceutical companies**.\n* **Leads** on any developing **molecules** you find interesting that we can test out in our models. \n* **Builders** in the AI x Bio space who might resonate with our mission.\n\n… or if you just want to learn more!\n\n[founders@oliolabs.co](mailto:founders@oliolabs.co)",
        "url": "https://www.ycombinator.com/launches/JBl-olio-labs-combination-therapeutics-for-the-world-s-toughest-diseases",
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        "created_at": "2023-08-04T16:55:29.868Z"
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    "one_liner": "Navigating patients to the right place, first time.",
    "team_size": 40,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
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        "answer": "We exist to make every NHS appointment [Bookable](https://bookable.health/). Presently only 1% of NHS appointments are easily accessible to patients. For good reason, barriers exist to hide these behind triage forms and long phone line queues. We think we can solve this."
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    "year_founded": 2022,
    "city": "London",
    "country": "GB",
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      "name": "Tom Blomfield",
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        "user_id": 860223,
        "full_name": "Raj Paul",
        "title": "Founder",
        "founder_bio": "NHS Clinical Entrepreneur who grew up running around my parents primary care practice. Ex-management consultant who delivered intelligent automation projects for global banks. \n\nSometimes I teach people how to ski ⛷️",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rajkumarkohli",
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        "user_id": 857509,
        "full_name": "Peter Huang",
        "title": "Founder",
        "founder_bio": "Cofounder and Head of Product of Healthtech 1. \n\nBritish Born Chinese based in London. A deep generalist with skills in product, growth & engineering. Most recently a Web Engineer @ Monzo.\n\nI'm building a health tech automation company with a best friend from school! This is our 2nd company together, having found our true Ikigai in helping a national health system thrive. There isn't a convincing plan to fill the huge staffing gap in the NHS. This is where our automation platform fits in.",
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        "title": "Account Executive",
        "url": "https://www.ycombinator.com/companies/healthtech-1/jobs/UZRAH1c-account-executive",
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        "equity_range": "0.01% - 0.10%",
        "experience": "3+ years",
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        "id": 90074,
        "title": "Senior Product Engineer",
        "url": "https://www.ycombinator.com/companies/healthtech-1/jobs/rVuqHps-senior-product-engineer",
        "location": "Stratford, East London",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "£80K - £130K GBP",
        "equity_range": "0.05% - 0.20%",
        "experience": "3+ years",
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    "news": [
      {
        "title": "Healthtech-1 raises $3.5m to automate admin in doctors surgeries ",
        "url": "https://sifted.eu/articles/healthtech-1-raise-monzo-alumni-news",
        "date": "Sep 18, 2024"
      },
      {
        "title": "12 hospital tech startups to watch, according to VCs | Sifted",
        "url": "https://sifted.eu/articles/12-hospital-tech-startups-to-watch-according-to-vcs#:~:text=Gilmartin%2C%20investor%2C%20AlbionVC-,Healthtech%2D1%20%E2%80%94%20UK,-Healthtech%2D1%20automates",
        "date": "Feb 16, 2024"
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      {
        "id": 73529,
        "title": "Healthtech-1 💙 Making free healthcare sustainable",
        "tagline": "by automating repetitive processes, starting with the first touchpoint: new patient registrations",
        "body": "**Healthcare systems across the world spend $1.1 trillion\\* on repetitive processes completed manually by healthcare staff.** [Healthtech-1](https://www.healthtech1.uk/) automates repetitive processes for healthcare systems. We’re starting with the world’s most famous: the NHS. We’re already live in over 100 primary care practices, and we’re hiring.\n\n---\n\n### **Problem**\n\nIn Britain, from the moment you first open your eyes, to the moment you finally close them, you’re cared for by the NHS free at the point of delivery _\\- it’s a beautiful thing_ 💙\n\nThe NHS is a safety net for the most vulnerable people in British society, and Europe’s biggest employer. This year, as the NHS turns 75, **9/10 people agree that healthcare should be free of charge,** and more than 8/10 of agree that the NHS makes them proud to be British.\n\nBut at the current rate, the NHS won’t see its 100th birthday. Post-pandemic, Britain's most treasured institution is in crisis. **Patient satisfaction is at a 25-year low and 1/7 of staff are in the process of leaving, citing mental and physical exhaustion.**\n\nLonger lives and an ageing population are steadily increasing the complexity and pressure of providing healthcare. **The increasing demand is unsustainable unless the cost of providing care can be massively reduced.**\n\nThe largest single cost is the staff. The NHS pays a $93bn wage bill, for 470k administrators, 740k clinicians, and 50k managers\\*\\*. All of whom spend an eye-watering amount of time on manual repetitive processes: data entry, summarisation, filing, scheduling..._the list goes on._\n\nThe current plan is “hire more staff”, but recruitment isn’t the answer.\n\n### **Solution**\n\nHealthtech-1 uses the latest technology to automate repetitive processes for healthcare organisations. The first automation launched 18 months ago for new patient registrations is now live in over 100 NHS Primary Care practices across England saving over 1000 hours of staff time per week.\n\nSo far we’ve added the equivalent of 25 full-time staff to the NHS providing a 9.8/10 ⭐️ experience to patients, for **half the cost.** That’s how you make free healthcare sustainable.\n\n![uploaded image](/media/?type=post&id=73529&key=user_uploads/860223/c5a83841-8d79-42f0-9689-0a48dee0e89e)\n\nBased out of Raj's parents' primary care practice, the Healthtech-1 team is systematically automating the repetitive processes they experience every day.\n\n### **Team**\n\nIt started as two school friends, now **we’re a team of 5 engineers, 3 doctors, and an accountant.**\n\n[**@Peter Huang**](https://www.linkedin.com/in/petejayhuang/) is an ex-Monzo software engineer that has built products that millions of people love. [**@Raj Kohli**](https://www.linkedin.com/in/rajkumarkohli/) is an NHS Clinical Entrepreneur who has delivered intelligent automation for global banks. After starting our first company, we jumped into healthcare to support Raj’s parents during the pandemic.\n\nWe’re here at YC to redirect the world’s best talent to one of the world’s greatest opportunities for good: universal healthcare.\n\n![uploaded image](/media/?type=post&id=73529&key=user_uploads/860223/7d4df318-8951-4d3d-9137-23a006c6d574)\n\n### **Ask**\n\nIf you know any operators or engineers interested in making something people need, please intro them to [raj@healthtech1.uk](mailto:raj@healthtech1.uk).\n\n\\-\n\n**References:**\n\n_\\*$9 trillion spent on healthcare (_[_WHO, 2022_](https://www.who.int/publications/i/item/9789240064911)_). Admin spend varies between 10-30% depending on the geography (_[_Health Affairs, 2022)_](https://www.healthaffairs.org/do/10.1377/hpb20220909.830296/)_. Let’s assume 12%._\n\n_Global Healthcare Admin spend: $9tr \\*12% = $1.08tr_\n\n_\\*\\*$8.4bn GP practices, $84.6bn in hospital. (_[_The Kings Fund, 2023_](https://www.kingsfund.org.uk/audio-video/key-facts-figures-nhs)_)_\n\n_NHS total staff salaries: 8.4bn + 84.6bn = $93bn._",
        "url": "https://www.ycombinator.com/launches/J7x-healthtech-1-making-free-healthcare-sustainable",
        "votes": 267,
        "created_at": "2023-07-28T06:01:12.000Z"
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    "name": "RadMate AI",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "We’re building the AI copilot for radiologists, powered by a foundational model for medical imaging. RadMate AI will read radiology images and generate full reports for radiologists to review and submit.\r\n\r\nMohamed and Adam are technical co-founders who met while studying Computer Science at Cornell University. Before starting RadMate AI to solve the problems his dad faced as a radiologist, Adam worked at Palantir on the initial launch of Palantir’s Al Platform. Mohamed has experience at AWS, where his goal was to help enterprises innovate on the cloud, and PathAl, where he worked on their image viewer platform to improve the workflow of pathologists. ",
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        "full_name": "Mohamed Khalifa",
        "title": "Founder",
        "founder_bio": "Cofounder & CEO of RadMate AI. Cornell University Alumni. Worked at Amazon Web Services as a Customer Solutions Manager. In this role, I played a pivotal part in assisting customers with their migration to and innovation on the cloud. Following this, I joined PathAI as a Software Engineer, a Biotech company at the forefront of integrating AI into pathology. ",
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        "user_id": 1246346,
        "full_name": "Adam Skrocki",
        "title": "Founder",
        "founder_bio": "Cofounder and CTO of RadMate AI. Before starting RadMate AI, I graduated Cornell with a computer science degree and worked at Palantir as a software engineer on the AI Platform. ",
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        "id": 78039,
        "title": "⚡️ RadMate AI: The AI copilot for radiologists",
        "tagline": "We help radiologists dictate error-free reports with 30% fewer words.  ",
        "body": "Hey everyone - [Mohamed Khalifa](https://linkedin.com/in/mohamed-taha-khalifa) and [Adam Skrocki](https://linkedin.com/in/adamskrocki) here!☀️\n\n_TL;DR: We’re building the AI copilot for radiologists. While reading images, we allow radiologists to dictate what they see, and _[_RadMate AI_](https://www.radmate.ai/)_ will generate and proofread reports for them._\n\n# The problem\n\nRadiologists spend most of their day reading patient images and dictating reports based on the images. As patient access to imaging continues to rise, radiologists face escalating pressure to produce detailed reports quickly.\n\nHowever, the software they use hasn’t changed in over a decade, so radiologists are no longer well-equipped to meet rising demand.\n\n1. Radiologists dictate over 30% more words than they need to, which can lead to fewer reports, [burnout](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618688/#:\\~:text=It%20was%20reported%20that%2054,exhibit%20burnout%20symptoms%20%5B23%5D), and lower quality reporting.\n2. Over [20% of radiology reports](https://www.gehealthcare.com/insights/article/improving-accuracy-in-radiology-images-and-reports#:\\~:text=Inaccurate%20diagnostic%20radiology%20results%20can,contain%20some%20sort%20of%20error) have errors in them. Which can lead to treatment delays, poor outcomes, higher healthcare costs, lost revenue, and operational inefficiencies.\n\n# Our solution\n\nLLMs provide an opportunity to revamp the way radiologists report. We’ve created a platform with an AI copilot that decreases stress on radiologists and increases accuracy by:\n\n1. Minimizing the words radiologists have to say.\n2. Reducing the number of clicks required for report generation.\n3. Proofreading reports to reduce errors.\n\n# The founding team\n\nMohamed and Adam are technical co-founders who met while studying Computer Science at Cornell University. Before starting RadMate AI to solve the problems his dad faced as a radiologist, Adam worked at Palantir on the initial launch of Palantir’s Al Platform. Mohamed has experience at AWS, where his goal was to help enterprises innovate on the cloud, and PathAl, where he built software to improve pathology. We’re excited to take our engineering expertise and our personal ties to healthcare to address the issues radiologists face today.\n\n![uploaded image](/media/?type=post&id=78039&key=user_uploads/1246346/01e3c7a0-b2c8-4457-bb2a-8ba10df25751)\n\n# Our ask 🙏\n\nIf you're a radiologist or know of any, we'd love to connect at [founders@radmate.ai](mailto:founders@radmate.ai)!",
        "url": "https://www.ycombinator.com/launches/KIh-radmate-ai-the-ai-copilot-for-radiologists",
        "votes": 130,
        "created_at": "2024-01-31T20:51:53.040Z"
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    "name": "Scritch",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Scritch is building the leading AI systems for veterinary medicine, starting with voice agents that automate front-desk operations in veterinary practices.",
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    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1707453846,
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    "country": "US",
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        "full_name": "Claire Lee",
        "title": "Founder",
        "founder_bio": "Claire is the co-founder & CEO of Scritch. She studied neuroscience and machine learning at Princeton. Before Scritch, she trained neural networks as a machine learning engineer in Tesla's Autopilot AI team. ",
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        "full_name": "Rachel Lee",
        "title": "Founder",
        "founder_bio": "Rachel is the co-founder & CTO of Scritch. She studied computer science at Cornell. Prior to starting Scritch, she was a software engineer at Amazon where she worked on one of the world’s most visited pages, the Amazon detail page.",
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        "title": "🏥 Kabilah - Simplifying patient handoff for inpatient nurses",
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        "body": "❌ **Problem: The Impossible Task of Patient Handoff**\n\nPicture this - you are an inpatient bedside nurse starting your shift, entrusted with the care of five patients due to commonplace staffing shortages. As you get a rapid-fire handoff from the previous nurse, you jot down critical information for each patient on a **paper report sheet**. Throughout your shift, you’re continually juggling urgent patient care demands, reading and updating your scribbled notes, attempting to communicate with inundated physicians, and charting/navigating data-dense notes within the EHR system. By the end of your shift, it is **impossible to communicate** all of the pertinent information about each patient in a rapid-fire handoff.\n\nThis perpetual cycle leads to increased medical **errors**, increased patient **length of stay**, and redundant inter-clinician **messaging**.\n\n**✅ Solution: Intelligent Patient Advocates**\n\nWe **automate and simplify** shift change by replacing paper report sheets with an AI-powered advocate for each patient.\n\nEach Patient Advocate is a digital report sheet with:\n\n1. Customizable Components - only display **pertinent information** about the current patient (optionally auto-filled from the EHR)\n2. Standardized Communication - intelligently summarize report sheet components and **send** them to the next nurse\n3. Simplified EHR Data - **auto generate** patient medical histories/hospital courses and **interactively chat** with patient EHR data\n\n(Please reach out to [founders@kabilah.com](mailto:founders@kabilah.com) for a demo!)\n\n**🏆 Founding Team**\n\nWe are Sarah & Umar!\n\n![uploaded image](/media/?type=post&id=78529&key=user_uploads/1382386/5618e163-cc96-43b6-ab53-1f181188451f)\n\n[Sarah](https://www.linkedin.com/in/sraza007/) - Stanford MS/BS in Computer Science (AI), 2022 Mayfield Fellow, second hire at EngFlow, previously founded nationwide nonprofit organization AWARE.\n\n[Umar](https://www.linkedin.com/in/mumarnadeem/) - Recent cancer survivor :) Stanford BS in Computer Science (AI), MS in Management Science & Engineering, and 2023 Mayfield Fellow.\n\n**👋🏼 Our Ask**\n\nWe're signing on our next two healthcare systems. If you can help make introductions to **Hospital Execs** or **Nursing Leadership**, please reach out to [founders@kabilah.com](mailto:founders@kabilah.com)!",
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        "full_name": "Claire Wiley",
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        "body": "**tl;dr: We've created Maia, a mobile app blending AI and relationship science to help couples stay together. It delivers personalized advice, proactive insights, and activities to deepen connections. Ready to transform your relationship?** [**Download the app with your partner today!**](https://apple.co/3RWaBvT)\n\nHi, we’re [Claire](https://www.linkedin.com/in/claire-wiley/) and [Ralph](https://www.linkedin.com/in/ralphma/), the team behind Maia. Our mission is to empower couples to build stronger, more fulfilling relationships. With Maia, we're making personalized relationship coaching accessible to everyone, at any time.\n\n![uploaded image](/media/?type=post&id=78405&key=user_uploads/792686/abba1e5e-80a6-43a9-ab10-035b8b58d8e4)\n\n**🤔 The Problem**\n\nDespite the pivotal role relationships play in our happiness and overall well-being, existing support systems fall short. Traditional couples therapy is still inaccessible and stigmatized, couples are increasingly turning online for advice, and couple apps provide static content that lacks personalization. On average, it takes a couple 6 years of being unhappy before seeking help. We're to navigate the complexities of building lasting relationships largely on our own, using trial and error and the hope that love will find a way (divorce rates are >50%).\n\n**💡 Our Solution**\n\n![uploaded image](/media/?type=post&id=78405&key=user_uploads/792686/8a96faf8-a9b5-4c53-bf83-ec02e954b4a9)\n\nMaia reimagines relationship care by blending AI coaching, expert guidance, and informal chat interactions into a seamless, engaging experience for couples. Building a lasting relationship is about more than just maintenance; it’s also about turning your relationship into a rewarding adventure. With Maia, personal growth and wellness become accessible and enjoyable for every couple. Whether it's planning the perfect date night, resolving a conflict, or learning more about one another, Maia offers a roadmap to a happier, healthier relationship.\n\nHere’s what [Dr. Marisa T. Cohen, PhD, LMFT](https://www.linkedin.com/in/marisatcohen/), our relationship expert, says about Maia:\n\n> Maia is a powerful tool that provides psychoeducation about relationships, normalizes the experiences we have and challenges we face, as well as prompts users to reflect on their lived experiences, values, and goals, thereby encouraging a greater level of self-awareness. **The best part is that engaging with Maia feels like chatting with a friend, one that not only has deep understanding of the human connection, but also a lot of sass.** I am proud to work with the Maia team in training Maia to approach users from a place of curiosity like a clinician, present tips and valuable resources like a relationship expert, and engage with users from a place of deep appreciation of the human bond.\n\nHere’s what our user K. said about Maia:\n\n> I am beyond grateful I came across it. I’ve been recommending it to friends along the way as it’s helped immensely as a **support outlet** but also grow my thoughts when I fall narrow minded from an emotional state. I’ve personally found it to be **far better than messaging-therapist platforms** because of the lack of opinions and bias. I think that’s probably a major difference that pushes me to truly absorb the advice Maia gives.\n\n**📖 Our Story**\n\nFor us, Maia’s mission is deeply personal. Having both grown up in first-generation divorced households and navigated the ups and downs of our own relationships, we recognized the universal need for a proactive approach to relationship health. By combining our expertise in AI and psychology, we built Maia to address this need.\n\n**🙌 Our Ask**\n\n* **Couples!** We made Maia for you! Please check out [our app](https://apple.co/3RWaBvT), and let us know your thoughts [here](https://eqsaivifhj6.typeform.com/to/U8Xn52Ne#ui=yc) or reach out directly to us at [hello@ourmaia.com](mailto:hello@ourmaia.com). Your insights could help shape the future of relationships everywhere! 💚💙\n* **Share the love!** Maia is for every couple. Have friends who just got engaged? Or someone who’s always texting you for relationship advice? Tell them to [download Maia](https://apple.co/3RWaBvT) [😉](https://emojipedia.org/winking-face)",
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        "full_name": "Samy Danesh",
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        "title": "Argon AI - Pharma AI for clinical & commercial workflows",
        "tagline": "Argon AI helps clinical & commercial teams generate thorough insights about clinical trials, treatments, competitors, and diseases in minutes.",
        "body": "### **tl;dr**\n\nOur platform is built on a proprietary database across sources including equity research, publications, SEC, FDA, clinical trials, and the latest news. [Argon AI](https://www.argon-ai.com/) outputs thorough and complete insights across topics including therapeutic areas, indications, interventions, and companies.\n\n[**Book a call to learn more.**](https://calendar.app.google/U5TnepmJMX8Sos3Y7) Top Life Science consulting firms and pharma companies use us today to automate their grunt work and free teams to focus on high-value strategy and execution.\n\n![uploaded image](/media/?type=post&id=78479&key=user_uploads/529523/32ed4998-c926-46b9-875c-6ccb10cb51b6)\n\n### **The problem**\n\n_Tedious and repetitive workflows:_ generating key insights for drug development is a highly manual and repetitive task that requires searching across a highly fragmented number of sources, summarizing information, formatting tables/charts, and a number of other tasks. Keeping the output of these workflows up-to-date requires manual data screening and updating.\n\n_Existing workflows are not keeping up with demand:_ at the same time, the amount of healthcare data, the number of drug development programs, and biological complexity is growing exponentially. This only exacerbates the problem, leading to a rise in prices and lower quality and speed.\n\n### **Argon AI - Solution**\n\nWe automate the grunt work to free up professionals to focus on strategy and execution! Argon is an AI-first platform that automates the process of aggregating, synthesizing, and generating insights to save teams time and money.\n\nOur products allow teams to quickly find all relevant clinical trials, companies, and therapies for their research. Customers today use Argon for indication selection, competitive intelligence, clinical intelligence, and more.\n\n→ Quickly find relevant clinical trials\n\n![uploaded image](/media/?type=post&id=78479&key=user_uploads/529523/1d0d8bba-dde6-4b11-883a-fce82a3f7a8a)\n\n→ Or ask a quick question about pharma-specific topics and get answers that outperform general LLMs or search engines. \n\n![uploaded image](/media/?type=post&id=78479&key=user_uploads/529523/1edd1b99-a935-4649-a733-21b489aecfc2)\n\n→ You can easily save the relevant data you find into your Notebook for further analysis and collaboration with teammates!\n\n![uploaded image](/media/?type=post&id=78479&key=user_uploads/529523/4c720df4-b37e-417a-abf9-2f43b43c7d39)\n\n[**Book a call with us today**](https://calendar.app.google/U5TnepmJMX8Sos3Y7) to automate your grunt work and free your teams to focus on strategy and execution.\n\n### **Team**\n\nOur team has experienced the insights problem and current solutions firsthand. We are bringing our diverse backgrounds across biopharma, ML research, and engineering together to dramatically reduce the cost and barriers of bringing life-saving therapies to market.",
        "url": "https://www.ycombinator.com/launches/KPn-argon-ai-pharma-ai-for-clinical-commercial-workflows",
        "votes": 38,
        "created_at": "2024-02-16T17:56:42.234Z"
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    "name": "Mango Health",
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    "website": "https://themangohealth.com",
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    "long_description": "Mango Health is building the market-leading AI Guide for OCD. OCD is often hidden in plain sight, with research showing it takes an average of 12 years to diagnose, and nearly 2% of the world population affected.  We are on a mission to improve accessibility to the best resources available. With a focus on ERP like sessions, 24/7 support, and countless AI-guided lessons - we are looking to bring motivation and meaning back to the lives of millions at a fraction of the cost of traditional treatment. \r\n\r\nStart today at TheMangoHealth.com :)",
    "one_liner": "AI Therapy for OCD",
    "team_size": 2,
    "industry": "Healthcare",
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    "status": "Inactive",
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        "full_name": "Jamison Mercurio",
        "title": "Founder",
        "founder_bio": "Co-founder at Gbrain.io (P26). Previously co-founder and CEO of Mango Health (YC W24, AI mental health). Former Meta iOS and web engineer (Messenger Video Chat + Facebook News). Princeton CS Class of 2020.",
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        "linkedin_url": "https://linkedin.com/in/jamison-mercurio",
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      {
        "user_id": 1321221,
        "full_name": "Zachary Gittelman",
        "title": "Founder",
        "founder_bio": "Co-founder and CTO at Mango Health. A proud Michigan and Cornell CS alum, I have experience at multiple healthcare start-ups - integrating into insurance billing platforms at Medly, optimizing scheduling automation for Mount Sinai, and building a medical supplies marketplace at Tomorrow Health. Creating the future of Mental Health with Jamison Mercurio.",
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        "linkedin_url": "https://linkedin.com/in/zachary-gittelman-02229a9a",
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      {
        "id": 79153,
        "title": "🥭 Mango Health: Bridging primary care and mental health",
        "tagline": "We help physicians get paid for sending their patients to therapy.",
        "body": "TLDR: **We’ve unlocked primary care as a distribution channel for therapists.**\n\n### **The Problem:**\n\nThere may be a therapist shortage, but mental health professionals still struggle to find patients and contract with insurance companies.\n\nOn the flip side, primary care physicians know [\\>40% of their patients](https://www.usnews.com/news/health-news/articles/2022-06-08/4-in-10-u-s-adults-who-need-mental-health-care-cant-get-it-survey#:\\~:text=In%20all%2C%2042%25%20of%20U.S.,needed%20help%20for%20substance%20use) need mental healthcare access - but these providers don’t have the time or revenue incentives to solve this problem. They already have high daily patient quotas; making it impractical to track down the right therapist and coordinate care for each patient.\n\n### **The Solution:**\n\nWe take advantage of recent regulation changes that allow PCPs to get reimbursed for ensuring their patients get therapy. Our team handles the entire patient journey post-referral: scheduling; therapist-matching; telehealth visits; care-tracking, as well as insurer claim submission for both our therapists and the primary care practice.\n\nOn the therapist side; we streamline the process of getting in-network with all major insurance companies; and unlock a vast source of referrals through our primary care partnerships.\n\n### **Team:**\n\n* [Jamie](https://linkedin.com/in/jamison-mercurio) is a Princeton CS grad and an ex-Meta engineer who worked on plenty of user-facing growth projects. \n* [Zach](https://linkedin.com/in/zachary-gittelman-02229a9a) is a Michigan and Cornell CS alum with experience integrating into insurance billing and building a medical supplies marketplace at Medly and Tomorrow Health.\n\nTogether, we’ve interviewed and shadowed over 160 primary care physicians and psychotherapists. \n\n![uploaded image](/media/?type=post&id=79153&key=user_uploads/1432803/3ad7da16-3a92-48d5-9c7c-840dcb889e6b)\n\n# 👋 How you can help\n\n**Send this email/text to your primary care physician:**\n\n* ‘Hey Dr. \\[NAME\\], I know some folks building a startup that connects primary care with mental health. Mind if they reach out?”\n\nThen when they respond, email us their number; at: [founders@themangohealth.com](mailto:founders@themangohealth.com)\n\nWe’ll pay you $30 per PCP you can connect us with.\n\nLearn more at <https://try-mango.com>.",
        "url": "https://www.ycombinator.com/launches/Kaf-mango-health-bridging-primary-care-and-mental-health",
        "votes": 19,
        "created_at": "2024-03-07T00:50:50.991Z"
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    "id": 29272,
    "name": "Aidy",
    "slug": "aidy",
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    "website": "https://www.aidyhq.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Aidy is a mobile app that helps people live fuller lives with chronic health conditions, beginning with Inflammatory Bowel Disease (Crohn’s Disease and Ulcerative Colitis). Our app lets users easily log their symptoms, diet, and treatments, then uses clinical indices to track disease severity and trends over time. Aidy excels at identifying patterns between diet, treatment adherence, and symptoms, giving our users a much more comprehensive and up-to-date picture of their condition to supplement clinician care. \r\n\r\nPreviously in our careers, both Max and Peter worked in health in different capacities. At the Rockefeller Foundation and the United States Senate, Max worked in public health policy and COVID-19 response, while Peter worked as an ML researcher for a number of biotech companies. After a lengthy “pivot hell” we decided to finally listen to a friend with IBD who insisted that there weren’t any decent apps to help people live with the disease. Pretty quickly, we discovered how LLMs and regular structured questionnaire responses could provide a level of patient empowerment not possible before for chronic diseases. From there, Aidy was (re)born!",
    "one_liner": "Mobile app helping people better manage chronic health conditions",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Consumer Health and Wellness",
    "launched_at": 1705616622,
    "tags": [
      "Consumer Health Services",
      "Digital Health"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/aidy",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/aidy.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/aidyhq/about/",
    "x_url": "https://twitter.com/AidyHQ",
    "fb_url": "https://www.facebook.com/people/Aidy-IBD-Tracking-App/61583133800607/",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
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    "founders": [
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        "user_id": 1301063,
        "full_name": "Max Williamson",
        "title": "Founder/CEO",
        "founder_bio": "I'm building Aidy, a mobile app that helps people better manage chronic health conditions, starting with IBD.\n\nPreviously I worked on AI and global health at The Rockefeller Foundation, served as a foreign policy fellow in the U.S. Senate, worked as the data director for a victorious Senate campaign, and helped launch a COVID testing lab in Delaware during the pandemic.\n\nI studied CS and policy at MIT, where I was named a Truman Scholar and a finalist for the Rhodes Scholarship.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/max-williamson-3a969a17a",
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        "full_name": "Peter Crocker",
        "title": "Founder/CTO",
        "founder_bio": "I'm building Aidy, an app that helps people understand and navigate their chronic health conditions like IBD. \n\n My background is in machine learning, where I specialized in graph neural networks and causal inference for bio and health data. I hold a BA (2020) and MEng (2021) from MIT, where I studied Electrical Engineering and Computer Science with a focus on Artificial Intelligence.",
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        "user_id": 1539743,
        "full_name": "Greg Miller",
        "title": "Founder",
        "founder_bio": "Policy entrepreneur working to create a better economic system ",
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        "linkedin_url": "https://linkedin.com/in/gmmiller00",
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    "news": [
      {
        "title": "The 18 most interesting startups from YC’s Demo Day show we’re in an AI bubble | TechCrunch",
        "url": "https://techcrunch.com/2024/04/03/ycs-winter-2024-demo-day-confirms-that-we-are-indeed-in-an-ai-bubble/",
        "date": "Apr 03, 2024"
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      {
        "id": 77639,
        "title": "Aidy: AI-Assisted TurboTax for Federal Grants",
        "tagline": "We simplify and accelerate the federal grant application process.",
        "body": "Hey everyone, we are Max, Peter, and Greg, and we’re building [Aidy](https://www.aidygrants.com/). \n\nIn our past roles at The Rockefeller Foundation and the U.S. Department of Housing & Urban Development, we saw how difficult it is for organizations to apply for federal grant funding. Determining eligibility and competitiveness for federal grants typically involves sifting through confusing criteria scattered across multiple documents, which are usually challenging to navigate and difficult to understand. The application process itself requires tons of paperwork and can cost up to $18k and 100 staff hours per grant. After watching our former employers invest millions in helping folks apply for federal grants, we realized the enormous potential of AI in making the process more accessible. From there, Aidy was born!\n\n**Solution**\n\nAidy guides organizations through the entire federal grant application process. To start, we’re focused on **Rural Energy for America Program (REAP)** grants, which provide $80k-$1M to rural small businesses and agricultural producers. The program recently received a $2.1B investment under the Inflation Reduction Act.\n\n**Eligibility and Competitiveness Assessment**: After a few quick questions, Aidy evaluates your organization's competitiveness for grants by navigating eligibility requirements and scoring criteria.\n\n![](https://lh7-us.googleusercontent.com/21AeywHhAj7X6DehCWBs1Z_77zFn_37VOju17Zzf1IYDvokCKyjPjCnT7G0xlZ61pAoe10J2_rDsKV9O1NQ3sJMQKLCSrlUlEXHZjNqgImDUNK_uiR5VZqrMJLTIhMDGeSRYNtvEzHnXVZSVXXK1QB8)\n\n**Clear Instructions:** Aidy helps steer you through every step of the application process to make sure you have everything you need to apply.\n\n![](https://lh7-us.googleusercontent.com/WbDsIWgUHl4RgMOFEU19ymZZ31AKadJ2wY0Avs5Su5Vevtk9TmqiNddcYeg50eCfYrjAFkyKG6RVrYsGBEb1mYb57FW0tED8U62VQrtQdkluyuWYp4bOCMtF7NK1n_aRevaPZYL6Mn60WezC5Dno6rA)\n\n**AI-Assisted Form Filling:** Aidy takes a first pass at drafting documents and filling forms. Once your application is complete, Aidy fills in all the appropriate forms with your answers.\n\n![](https://lh7-us.googleusercontent.com/MTJ27w1DQsZOAkkh7LUQZsnm9MpFS7jL9-37ClfJjLVIpi6-PEiMc7K9A3JsI25eZD2iE_7I9fPvW37tOzhBe33yD1JGPnRt73W2z42ZlqLIvEKvMpVpNNSykBERMNIs6RLEVOqKjjetV72aPWnCy_s)\n\n**Grant Writer and Technical Assistance Platform:** We’ll soon roll out a collaborative tool for grant writers and applicants to work together. Grant writers can manage multiple applications and request documents from applicants through the platform.\n\nCheck out our [full demo!](https://youtu.be/jxv9heLtgy4)\n\n**Our Vision**\n\n* **Comprehensive Federal Grant Search**: Build a comprehensive federal grant search platform, complete with eligibility and competitiveness checkers for each federal grant.\n* **Support for all federal grants**: Quickly support applications for all 1,000+ federal grant programs.\n* **Beyond Federal Grants**: Expand to include state, local, and philanthropic funding opportunities.\n\n**Our Asks**\n\n* **Please send our** [**REAP Eligibility and Competitiveness Quiz**](https://app.aidygrants.com/eligibility) to anyone you know in the rural energy sector, especially rural small businesses, farms, or renewable energy companies. \n* **Connect us** with any grant writers or other organizations you think may benefit from Aidy.\n* **If there are federal grants your company is interested in applying for, let us know!**\n* **Follow us** on [LinkedIn](https://www.linkedin.com/company/aidygrants/about/) and [Twitter](https://twitter.com/aidygrants?s=11&t=jfv4r4tMpiMxn6_3cgsa7w).\n\nThank you!",
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        "votes": 39,
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    "id": 29288,
    "name": "Arini",
    "slug": "arini",
    "former_names": [
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    "website": "https://www.arini.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Arini is building the single platform to run all healthcare operations.\r\n\r\nHealthcare has spent the last decade consolidating, but operations are still fragmented, manual, and expensive. A large group runs dozens of disconnected systems for scheduling, billing, insurance, payables, and reporting, with people moving data between them by phone, fax, and spreadsheet.\r\n\r\n\r\nWe partner with some of the largest healthcare enterprises in the country through a Forward Deployed Engineering model. Engineers sit with the customer, find their biggest operational problems, and ship systems that solve them end to end. The best of that work becomes the platform that scales across enterprises.\r\n\r\nOur goal is to deliver the operating leverage healthcare consolidation has promised for decades, so providers can focus on patient care. We obsess over improving patient outcomes, and we are building the platform to run all operations for a $620B industry.",
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    "team_size": 17,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1708365250,
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    "url": "https://www.ycombinator.com/companies/arini",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/arini.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ariniai",
    "x_url": "https://twitter.com/usearini",
    "fb_url": "https://www.facebook.com/people/Arini",
    "cb_url": "https://www.crunchbase.com/organization/arini",
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      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
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      {
        "user_id": 868778,
        "full_name": "Abdul Jamjoom",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder @ Arini | CS from Harvard in 2019 | Prev Threads (Acquired by Shopify)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/abduljamjoom",
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      {
        "user_id": 864285,
        "full_name": "Rami Rustom",
        "title": "Founder/CTO",
        "founder_bio": "Building AI receptionists for dentists at Arini. Previously Eng + AI @ Threads. MIT CS 2021.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ramirustom",
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        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/arini/jobs/UatrDy5-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
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        "role": "Engineering",
        "role_type": "AI engineer",
        "salary_range": "$120K - $250K",
        "equity_range": "0.10% - 0.70%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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        "id": 113668,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/arini/jobs/yBH4HQK-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $250K",
        "equity_range": "0.10% - 0.70%",
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        "id": 78760,
        "title": "🦜 Arini: The AI receptionist for dentists",
        "tagline": "Our AI agent answers phone calls and schedules appointments for patients.",
        "body": "Hey everyone! We’re [Abdul Jamjoom](https://www.linkedin.com/in/abduljamjoom/) and [Rami Rustom](https://www.linkedin.com/in/ramirustom/) from [Arini](https://www.arini.ai).\n\n**tl;dr**\n\nArini is an AI receptionist for dental clinics that answers phone calls, and schedules appointments. The dental front desk is stretched thin, spending 80% of their time on the phone, yet still missing 35% of calls. Missed calls = missed revenue. Arini answers 100% of calls, 24/7.\n\n## **Problem**\n\nHealthcare in the US is facing a massive staffing shortage, especially since COVID. It’s hard for clinics to find, train, and retain admin staff. As a result, the front desk is overworked and understaffed.\n\nThe dental front desk spends 6 hours a day on the phone but still misses 35% of calls. Each missed call is missed revenue.\n\nEven though 80% of dental clinics have online scheduling forms, most appointments are still booked over the phone. Even if you book online, they’re going to call you back (go ahead and try it).\n\n## **Solution**\n\nWe built an AI voice agent that answers phone calls and books appointments. We plug into the existing software that dental clinics use and populate appointments on their calendar. We can also answer questions about insurance, billing, and anything else the patient needs.\n\nWe help practices increase revenue by booking more appointments. We also help them reduce their operating cost since they need to recruit, train, and retain fewer receptionists.\n\n<https://www.youtube.com/watch?v=xzscKs5cxwc>\n\n## **The team and how we landed on dental**\n\nWe met in high school in Jordan, co-founded a start-up 2 years ago, and are always hacking together. Abdul studied CS at Harvard and was an early engineer at Threads, an enterprise communication tool, where he led search. Rami studied CS at MIT and joined Threads a year ago, and we both led Threads’ AI team, where we automated customer support, document feedback, notification triaging, and more.\n\nWe landed on the dental space after going door-to-door to dentists, shadowing them, and experiencing first-hand the challenges they faced. It was clear that the front desk was a bottleneck for increasing bookings, even though dentists in the US spend $7B a year on front desk staffing.\n\n![uploaded image](/media/?type=post&id=78760&key=user_uploads/868778/669b3926-305a-4cc9-92d2-adee47bf0991)\n\n## **How you can help**\n\n1. If you have a cleaning coming up, ask your dentist to [**book a demo with us**](https://calendly.com/d/47d-9z6-g2d/ai-receptionist-demo)\n2. If you know any multi-location dental groups or DSOs, send them our way\n\nYou can reach us at [**founders@arini.ai**](mailto:founders@arini.ai)**.**",
        "url": "https://www.ycombinator.com/launches/KUK-arini-the-ai-receptionist-for-dentists",
        "votes": 98,
        "created_at": "2024-02-26T18:44:16.762Z"
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        "full_name": "Adam Steinle",
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        "founder_bio": "Former biomedical engineer, Goldman banker, and big tech PM going back to my roots as a founder in healthcare. Over 4 years at Facebook, I launched many successful products for Content Moderation, Community Growth, Gaming, and Creator Monetization.",
        "is_active": true,
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        "user_id": 1362116,
        "full_name": "Danielle Yoesep",
        "title": "Founder/COO",
        "founder_bio": "Grew up interested in science, always thinking I'd become a doctor (immigrant parents lol) but realized in university that practicing medicine actually wasn't the way I wanted to make my impact. Stayed in science, wanted to be on the cutting edge, did some research developing platform technologies that enable the synthesis of novel molecules. I helped spin a company out based on the work and built it up from (mostly) scratch. We ended up getting acquired, and now I'm doing it all over again :)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/djyoesep",
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        "full_name": "Shuying Zhang",
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        "founder_bio": "I have a mixed background of biomedical engineering and software development. Prior to founding Hona.ai, I was a software engineer at Google and Amazon. My past work was centered on Document AI, knowledge graph and cloud infrastructure.",
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        "linkedin_url": "https://www.linkedin.com/in/zhang-shuying/",
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      {
        "title": "How Y Combinator’s founder-matching service helped medical records AI startup Hona land $3M | TechCrunch",
        "url": "https://techcrunch.com/2024/05/03/y-combinator-founder-matching-tool-hona-medical-ai-startup/",
        "date": "May 03, 2024"
      },
      {
        "title": "Particle Health and Hona Partner to Empower Providers with Longitudinal Data for Informed Clinical Decisions",
        "url": "https://finance.yahoo.com/news/particle-health-hona-partner-empower-150000610.html?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAAATcvIZIaVwKsT87NNFCpfhMbiztCBMu-T67DlpEZBP_O6-qbokr9i376mD0BM2lPrl_q2fkhxBRA8R-rSGYhHGSPeXaYGYWmE3r66sg4HpLztSZnjOZadgZhluQTY9UuVhI9tAnhJIQpsgtnTylPAr43KqO3AvetguEEZtyblyi",
        "date": "Nov 07, 2023"
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      {
        "id": 84650,
        "title": "Verse Therapy: Connecting all ages with Speech Language Pathologists",
        "tagline": "We help Speech Language Pathologists launch and grow independent practices.",
        "body": "![uploaded image](/media/?type=post&id=84650&key=user_uploads/771214/1517ce7a-7a2e-4067-9933-3e2f73ddc647)\n\n## **TL;DR**\n\nAt [Verse Therapy](https://versetherapy.com/), we're committed to making quality speech therapy accessible to everyone by empowering speech-language pathologists (SLPs) to launch and grow their own independent practices. We help therapists focus on what they do best—providing compassionate, personalized care—by taking care of the administrative tasks that often lead to burnout. Through targeted marketing and partnerships with care organizations like rehab centers, we connect SLPs with individuals who need their expertise. Our AI-enabled back-office streamlines insurance processing, scheduling, and documentation, reducing non-therapy overhead. We're proud to be live in 10 states with over 35 dedicated therapists and are in-network with leading insurance providers, making it easier for clients to receive the support they need.\n\n## **The Problem**\n\nAccess to quality speech therapy is more challenging than ever. Many individuals, from children experiencing learning setbacks due to COVID-19 disruptions to seniors facing age-related speech issues, are struggling to get the support they need. Demand is soaring, and the U.S. Bureau of Labor Statistics projects a 21% growth in employment for SLPs from 2021 to 2031. However, the number of practicing therapists isn't growing quickly enough to meet this need, leading to long wait times and underserved communities.\n\nAt the same time, many dedicated SLPs are facing burnout from overwhelming administrative tasks like insurance paperwork, scheduling, and documentation, coupled with lower pay in traditional settings. This not only affects their well-being but also worsens the shortage, as some may reduce their workload or leave the profession entirely. According to a survey by the American Speech-Language-Hearing Association, 28% of SLPs are interested in private practice to gain more control over their work and income. There is an urgent need for a compassionate solution that supports both those seeking therapy and the professionals providing it.\n\n## **The Solution**\n\nVerse Therapy is bridging this gap by empowering speech-language pathologists to launch and grow their own independent practices with ease. We enable therapists to focus on delivering empathetic, high-quality care by handling the administrative burdens that often lead to burnout. Through our targeted marketing and partnerships with care organizations like rehab centers, schools, and medical facilities, we connect SLPs with individuals who need their specialized support.\n\n![uploaded image](/media/?type=post&id=84650&key=user_uploads/771214/037b088b-ff27-474d-8928-e51e95ec154d)\n\nOur AI-enabled back office simplifies insurance processing, scheduling, and documentation, allowing therapists to spend more time with their clients and less on paperwork. By alleviating these stresses, we enhance the well-being of our therapists and help retain more professionals in the field, ultimately expanding access to speech therapy services.\n\nWe're proud to be live in 10 states with over 35 dedicated therapists and to be in-network with leading insurance providers. Together, we're making quality speech therapy more accessible and transforming lives through improved communication.\n\n## **Asks**\n\nWe're eager to expand our partnerships with organizations seeking dedicated speech-language pathologists in California, Florida, Oregon, Washington, Illinois, Connecticut, Arizona, Virginia, and Colorado. If you have connections with early intervention programs, rehab centers, children's hospitals, or similar organizations in these states, we'd greatly appreciate an introduction. Together, we can make a meaningful difference in the lives of those who need our support.\n\nAlso, if you or someone you know is looking for speech therapy services in any of these states, please visit us at [versetherapy.com](https://www.versetherapy.com/) to book an appointment. We're here to empower you on your journey toward better communication.",
        "url": "https://www.ycombinator.com/launches/M1K-verse-therapy-connecting-all-ages-with-speech-language-pathologists",
        "votes": 51,
        "created_at": "2024-10-09T20:41:26.316Z"
      },
      {
        "id": 77965,
        "title": "Hona: Less time with charts. More connected patients.",
        "tagline": "Hona gathers and converts medical histories into actionable insights",
        "body": "# Healthcare’s Growing Information Overload Problem\n\n[Recent regulations](https://www.healthit.gov/topic/interoperability/policy/trusted-exchange-framework-and-common-agreement-tefca) have enabled electronic health record systems to communicate more effectively. However, healthcare providers are not adequately equipped to manage the substantial influx of unstructured data resulting from this enhanced interoperability.\n\nThe average patient record is now the equivalent of half the size of Shakespeare's 'Hamlet,' and providers often see more than 20 patients per day. For each patient, these providers find themselves contacting other organizations to obtain the patient’s complete history. Then, they must sift through numerous pages of raw PDFs to locate critical, relevant information — similar to finding a needle in a haystack. This process creates an enormous cognitive burden, leading to burnout, missed revenue opportunities, and, most critically, uninformed care.\n\n# [**Hona**](https://www.hona.ai) is transforming the complexity of healthcare data into something radically simple\n\n![uploaded image](/media/?type=post&id=77965&key=user_uploads/771214/1541c2f1-a4d9-42f3-ba7b-7ee0cef242b9)\n\nHona integrates with electronic health record systems to collect and condense medical histories, enabling providers to fully understand their patients by finding data previously lost in mountains of charts. It searches nationwide for patient data based on providers' schedules, condensing notes, lab results, and more into specialty-specific clinical summaries with links to original sources. Hona then converts its clinical summaries into value-based care metrics, risk scores, and quality measures for practice-level insights.\n\n![uploaded image](/media/?type=post&id=77965&key=user_uploads/771214/f984dca9-3ba5-45dd-8e5a-41d4d7a3f707)\n\n# Founding Team\n\n![uploaded image](/media/?type=post&id=77965&key=user_uploads/771214/3db96f3c-16b4-4b17-bee8-128322c0a003)\n\nHona was founded by ex-biomedical engineers seeking to return to their roots. Drawing from our experience in early-stage startups and launching AI products for millions of users in big tech, we ventured back into healthcare. We are addressing a critical issue: the complexity of healthcare data, which has not just hurt providers within our families and networks, but also us in our roles as patients.\n\n# Call to Action\n\nIf you know anyone in a provider organization who is looking to make sense of their data to increase revenue and automate visit prep, please reach out to [tech@hona.ai](mailto:tech@hona.ai).\n\n# Resources\n\nSite: <https://hona.ai/>\n\nPress: <https://finance.yahoo.com/news/particle-health-hona-partner-empower-150000610.html>",
        "url": "https://www.ycombinator.com/launches/KHV-hona-less-time-with-charts-more-connected-patients",
        "votes": 538,
        "created_at": "2024-01-30T16:03:25.118Z"
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    "name": "SynsoryBio",
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    "all_locations": "Boston, MA, USA",
    "long_description": "SynsoryBio is creating next generation, protein therapeutics that sense where they are in the body and only activate at diseased tissue. This technology platform has the potential to expand the therapeutic window of highly potent drugs and apply to many diseases such as cancer and autoimmune disorders.",
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    "launched_at": 1707422039,
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        "full_name": "Elliot Tague",
        "title": "Founder",
        "founder_bio": "I am a PhD and inventor in the fields of synthetic biology and protein engineering. I got my PhD from Boston University, spent time as a visiting graduate student in George Church's lab at Harvard, and worked in various biotech startups",
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        "full_name": "Nathan Tague",
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        "title": "SynsoryBio: Therapeutics that sense-and-respond to disease",
        "tagline": "Our immune system acts locally to combat disease, why don’t our medicines?",
        "body": "**TL;DR**\n\nAt SynsoryBio, we engineer \"_if-then_\" conditional logic into protein medicines, meaning only _if_ the protein drug senses a disease marker, _then_ it turns on. We are applying this technology to clinically tested, but highly toxic cancer immunotherapies to make them safer and more effective. \n\n**Who we are/Team:**\n\nSynsoryBio was founded by brother scientists, [Elliot](https://www.linkedin.com/in/elliot-tague/) and [Nathan](https://www.linkedin.com/in/nathan-tague-533019198/), who both hold PhDs in biomedical engineering. The founders gained expertise in synthetic biology at Boston University, Harvard Medical School, and industrial biotech, where they authored numerous high-impact journal publications and are inventors on several patent filings. SynsoryBio harnesses this expertise to create next-generation therapeutics that understand where they are in the body and only act at the site of disease. \n\n![uploaded image](/media/?type=post&id=78311&key=user_uploads/1336498/724512c9-7cee-4c6b-ba4f-ea2550ef57d9)\n\n**The Problem:**\n\nThe most potent therapeutics suffer from safety issues and dose limitations, impeding their development and overall efficacy. This isn’t surprising because most therapeutics are delivered systemically and are active throughout the body even though the underlying disease is localized to a certain tissue. For example, immunotherapies to treat cancer show great promise but usually exhibit dose limitations, especially in combination, which prevents the development of potent immune stimulators and/or mitigates clinical efficacy.\n\n \n\n**The Synsory Solution:**\n\nWe are developing next-generation protein therapeutics that have synthetic sensing functions so that they know where they are in the body and only act at disease tissue. Our approach is highly flexible, allowing us to design protein therapeutics that conditionally activate upon sensing virtually any specified biomolecule.\n\n![uploaded image](/media/?type=post&id=78311&key=user_uploads/1336498/66febfad-2442-4c03-be04-050f4149b862)\n\n**Our ask:**\n\n\\-If you know any immunologists or oncologists, we would love to connect with them!\n\n\\-Interested in partnering? Please reach out!\n\n Connect with us, info@synsorybio.com",
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    "name": "Copper Health",
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    "year_founded": 2024,
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        "full_name": "Joanne Wang",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder of Epsilab (F26). 2nd time YC founder - previously built Copper Health (W24). ",
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        "title": "⭐️ Airfront - AI-first email platform with built-in automations",
        "tagline": "Let your inbox do work for you!",
        "body": "**TL;DR:** [Airfront](https://airfront.com/) uses AI to automate manual tasks directly from your inbox, and it takes <5 mins to set up. Our platform understands the context behind each email and enables smart workflows such as responding to customers and syncing data. [Join our waitlist](https://www.airfront.com/) or [schedule a demo](https://cal.com/joannewang/airfront-meeting) to see how it works.\n\n\\---\n\nHey all! We’re [Joanne](https://www.linkedin.com/in/joannewang19/) and [Tommy](https://www.linkedin.com/in/thomasguo/), and we’re building Airfront to let your inbox do the work for you.\n\n![uploaded image](/media/?type=post&id=79353&key=user_uploads/1285307/9283d135-ac0f-4587-aa6a-d1e07adca022)\n\nAirfront is an AI-first email platform with built-in automations. We enable smart workflows that go beyond what tools like Zapier offer. With Airfront, you can create automations such as “synthesize the key use cases that buyers mentioned and sync them to Salesforce” or “extract answers from surveys and summarize commonalities”.\n\n📩 **Problem**\n\n* Many people do **manual, repetitive tasks** based on their emails\n* Our inboxes contain lots of insights, but this **valuable data is hard to surface**\n\n**✨ Solution**\n\n* Airfront uses AI to form a **contextual understanding** of emails such as who the email is from and what the email is about\n* Our platform enables **granular workflows** directly from your inbox using natural language. No coding needed.\n\n👨‍💻 [**How it Works**](https://youtu.be/np1jI6whMyo?feature=shared)\n\n👋 **Meet Joanne & Tommy**\n\nWe are both graduates of NYU, and we both grew up in families of small business owners which inspired us to become entrepreneurs ourselves.\n\n* [Tommy](https://www.linkedin.com/in/thomasguo/) studied Computer Science and joined Stripe as the first new grad hire in NYC. As a senior software engineer at Stripe, Tommy worked on search infrastructure and led a team to redesign Stripe's API to accept multiple currencies.\n* [Joanne](https://www.linkedin.com/in/joannewang19/) studied Computing & Data Science and Finance and worked in Tech M&A investment banking at Evercore and subsequently B2B software investing at General Atlantic.\n\n**🚀 Try Airfront**\n\n* Join our waitlist or schedule a quick demo if you’re curious about using Airfront at your company\n* Email us at [founders@airfront.com](mailto:founders@airfront.com) with any thoughts or suggestions. We’d love to hear about what you want to automate for your inbox and any other feedback!",
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        "votes": 100,
        "created_at": "2024-03-13T14:26:26.749Z"
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    "website": "http://www.seleramedical.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Heart failure impacts millions worldwide and is associated with poor quality of life and high mortality rates. Because the heart cannot pump efficiently, fluids buildup around the body. Fluid overload is the main driver behind patient symptoms (shortness of breath, fatigue, chest pain, etc.) and hospitalizations. Our minimally invasive device leverages the body's innate fluid management system to offload trapped fluid and prevent subsequent rounds of buildup. The one-time procedure has sustained effect -- keeping patients healthier, happier, and out of the hospital.",
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        "full_name": "Stacie Arechavala",
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        "founder_bio": "Founder & CEO of Selera Medical, developing paradigm-shifting technology for heart failure patient management. Previous experience includes Innovation Fellow at Stanford Biodesign, CoS running internal operations at a healthtech startup, R&D engineer developing cardiovascular devices at Medtronic. Masters in biomedical engineering and engineering management from Duke.",
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        "full_name": "Kevin Bui",
        "title": "Founder",
        "founder_bio": "Kevin is co-founder and CTO of Selera Medical, a medical device startup developing a minimally invasive therapy for congestive heart failure. Prior to this, he was an Innovation Fellow in the Stanford Byers Center for Biodesign. Kevin received his undergraduate bioengineering degree from Stanford and his PhD in bioengineering from the University of Pennsylvania, where he conducted research at the intersection of robotics, stroke rehabilitation, and cognitive neuroscience.  ",
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        "title": "Selera Medical: Disrupting the heart failure treatment paradigm ❤️‍🔥",
        "tagline": "Device-based approach to better heart failure patient care",
        "body": "Selera is developing a device to treat fluid overload in heart failure patients with a one-time, minimally invasive procedure.\n\n### **Backstory 📖**\n\nHello! 👋 We ([Stacie](https://www.linkedin.com/in/staciearechavala/) & [Kevin](https://linkedin.com/in/kevindbui)) are engineers who met at Stanford Biodesign, where we shadowed clinical cases and identified unmet needs in hospitals across the Bay Area. We observed first-hand the limited and ineffective treatment options available to heart failure patients, which led to poor quality of life and frequent hospitalizations. With Kevin’s Ph.D. in bioengineering, Stacie’s medical device + ops/strategy industry experience, and a shared vision to improve healthcare outcomes, Selera was born.\n\n![uploaded image](/media/?type=post&id=78866&key=user_uploads/1135677/0a02856b-5a46-48f1-ac7a-0e7e890bf775)\n\n### **Problem 💔**\n\nOver 6.5 million people in the US suffer from heart failure, which is when the heart can no longer pump blood efficiently to the rest of the body. As the disease progresses, symptoms get worse, quality of life tanks, and hospital time skyrockets. It’s terrible for patients and their loved ones, as well as a huge burden to the healthcare system.\n\nOver 90% of symptoms and hospitalizations are driven by fluid buildup around the body (think: fluid in the lungs → patient can’t breathe → hospital). Standard of care medications to manage fluid hasn’t changed in over 60 years, have adverse side effects, require significant provider time, and become ineffective over time. As a result, patients are trapped in a cycle: fluid builds up, symptoms worsen, hospitalization, discharge, repeat. Post-hospitalization, the survival rate is similar to some stage 4 cancers – only 50% at 2 years – and reduces with each admission.\n\n### **Approach 🎯**\n\nWe are taking a brand new approach by harnessing the body’s own fluid management mechanisms to remove excess fluid, alleviate symptoms, and reduce hospitalizations.\n\nWith the heart not pumping blood as well as it should be, it causes backups in the blood vessels (like a highway when there’s construction). This forces fluid with important nutrients to leak out (detour) into the interstitial space, which is the space between organs and tissues. Normally, this fluid is collected and brought back to the bloodstream by the lymphatic system (a parallel highway with roads all over the body). However, the lymphatic system is overwhelmed by the extra fluid produced in heart failure due to the backups (when Maps reroutes everyone and the seemingly better alternative also has traffic). Without any other way out, fluid is trapped in the interstitial space, leading to the symptoms behind hospitalizations, such as swelling and chest pain depending on where the fluid is stuck. Our technology ‘untaps’ the fluid stuck in the interstitial space by offloading the lymphatic system so that it can work more efficiently (like opening up more lanes to reduce traffic).\n\nWith our one-time procedure, minimally invasive lymphatic offloading (MILO) provides long-term treatment and breaks the fluid overload hospitalization cycle for patients.\n\n![uploaded image](/media/?type=post&id=78866&key=user_uploads/1135677/54435770-1a47-441b-93c5-206d14826845)\n\n### **Connect 🤝**\n\nWe’re looking to connect with cardiologists and interventional radiologists interested in partnering with us on product testing and future clinical trials.\n\nIf you’d like to learn more about what we’re working on or get involved, reach out to us at [founders@seleramedical.com](mailto:founders@seleramedical.com).",
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        "created_at": "2024-02-28T20:56:05.210Z"
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    "long_description": "Attunement extracts, reconciles, and structures behavioral health records from any source, giving operators, clinicians, and AI systems a single, accurate picture of the patient.",
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        "full_name": "Angie Muller",
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        "founder_bio": "Attunement turns fragmented behavioral health records into structured patient data that operators and AI systems can act on.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/angiemuller",
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        "title": "⚡Attunement- Patient monitoring and treatment recommendation for better behavioral health",
        "tagline": "We track your behavioral health and provide mental health providers evidence-based recommendations",
        "body": "⚡TLDR; At [**Attunement**](https://attunement.ai/), we’re building a patient monitoring and treatment recommendation platform for behavioral health.\n\n![uploaded image](/media/?type=post&id=77939&key=user_uploads/1271220/150865a5-d545-4932-972c-811e317e8875)\n\n**🧠 Current state of tracking if patients are getting better: “I just know.”**\n\nWhen you ask a behavioral health provider how they know whether their patients are getting better, they typically say “I just know.”\n\nExisting tools like the standardized assessment PHQ-9 for depression are not used regularly to measure patient progress, as providers find them to be simplistic and lack context.\n\n**📉 Mental Health Crisis escalating, and we do not know what treatments are working**\n\n1 in 3 Americans suffer from a mental health disorder. Medicaid alone spent approximately $110 billion per year on behavioral health services to address the crisis last year. Without better measurements to track whether the patients are improving, it is challenging to evaluate the impact of these dollars accurately.\n\n**⚡Attunement: Tracking behavioral health to quantify patient outcomes**\n\n[Attunement](https://attunement.ai/) passively tracks the patient’s behavioral health week over week and makes it easy for mental health professionals to update their treatment plans without additional visitations.\n\nOur software platform provides automated patient assessments at regular intervals, incorporating chat-based mental health detection, physiological biomarkers, and self-reported inputs of patients currently in treatment.\n\nAttunement unlocks key recommendations for providers to discuss the results of these assessments with the patient and helps make collaborative decisions about the direction therapeutic modalities will proceed in based on these discussions.\n\n**✅ Our Ask**\n\nWant to access our demo and **track your mental health**? Fill out the form [**here**](https://forms.gle/yZuSFwjP9QXKeiuCA).\n\nKnow any therapist/psychiatrist who would use this product? Email us at [**founders@attunement.ai**](mailto:founders@attunement.ai).\n\nWe’re [**Angie**](https://linkedin.com/in/angiemuller) and [**Briar**](https://linkedin.com/in/briar-smith), and we believe effective mental healthcare can be made easy.",
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    "long_description": "Clarion is building the most advanced AI communication layer for healthcare. Our AI agents handle the overwhelming volume of calls and messages that clinics face daily—from scheduling to billing to prescription refills—freeing staff to focus on patient care. We're an in-person company based in New York.\r\n\r\nToday, clinics miss 30-40% of inbound calls due to staffing shortages. We're solving this by automating complex workflows end-to-end, already serving tens of thousands of patients monthly across virtual care companies, health systems, and a $5B health insurance company.\r\n\r\nWe've raised $5.4M from Accel, Y Combinator, Sequoia (scout), and healthcare founders from Ophelia, Medallion, and Counsel Health. \r\n\r\nOur founders bring both clinical and technical expertise—our CEO Ryan is a Stanford/Harvard-trained physician who was on the founding teams of Two Chairs and Ophelia, while our CTO Jeffrey built voice AI at Amazon Alexa and led AI/ML teams at Salesforce.\r\n\r\nJoin us as we transform healthcare communication—creating a future where patients get faster resolutions and providers reclaim time for what matters most.",
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    "team_size": 16,
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        "full_name": "Ryan Gallagher",
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        "url": "https://www.ycombinator.com/companies/clarion/jobs/148yKCJ-strategy-operations-lead",
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        "url": "https://www.ycombinator.com/companies/clarion/jobs/v4LQo1Z-founding-product-designer",
        "location": "NYC Office",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
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        "location": "New York, NY, US",
        "type": "Full-time",
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        "title": "Anaphero: Automating patient-facing tasks. Happier clinicians, better care.",
        "tagline": "We help hospitals overcome staffing shortages with AI agents that complete patient-facing tasks.",
        "body": "# Confronting Healthcare's Staffing Crisis\n\nThe American healthcare system faces a daunting challenge: [clinician burnout](https://www.advisory.com/daily-briefing/2024/01/31/physician-burnout) has soared to its highest levels since the pandemic, and [aging baby boomers](https://knowledge-leader.colliers.com/shawn-janus/demand-for-healthcare-grows-as-baby-boomers-age/) are ballooning the demand for healthcare services. This strain is leading to a [critical shortfall](https://fortune.com/2024/02/14/america-shortage-primary-care-doctors-work-ai-physician-burnout-crisis/) in clinicians, jeopardizing patient care quality. Hospitals are now grappling with not only how to retain their workforce but also how to ensure patient loyalty in an increasingly competitive landscape.\n\nThe heart of the issue lies in the nature of clinicians' workloads, which include a significant amount of administrative, rules-based tasks ripe for automation. As a result, administrative automation has emerged as the [top strategic priority](https://d2d1vpa6c3q6ni.cloudfront.net/2024-executive-survey-results.png) for hospitals and insurers in 2024.\n\n### **Anaphero is building goal-oriented AI agents to expand clinical capacity**\n\n[Anaphero](https://www.anaphero.com/) addresses healthcare staffing shortages by automating routine but essential tasks. We enable health systems to deploy custom AI agents that interact with patients through text, voice, or video, emulating human clinicians. Our AI agents can answer questions, collect information, and interface with electronic health records. We've built our platform with safety at its core, incorporating proactive bias assessments, continuous risk monitoring, and clinician oversight to maintain high standards of care.\n\nOur clinical agents can safely do a lot of the work that keeps healthcare running smoothly. This not only increases clinical capacity but also allows doctors and nurses to concentrate on what they find most rewarding—making clinical decisions and counseling patients. The outcome is a workforce of more satisfied clinicians, improved care quality, and more loyal patients.\n\n### **Our Founders' Journey**\n\n[Ryan Gallagher, MD](https://www.linkedin.com/in/ryangallaghermd/) (CEO) is a Stanford/Harvard-trained physician and was on the founding team at Two Chairs and Ophelia. He helped both companies scale to $100M+ valuations. [Jeffrey Lamothe](https://www.linkedin.com/in/jeffreylamothe/) (CTO) led enterprise AI + ML projects at Amazon Alexa, Salesforce, and Citi.\n\n### **Join Our Mission**\n\nIf you're connected to hospitals, medical clinics, or digital health companies interested in automating patient interactions using AI, we'd love to hear from you at [founders@anaphero.com](mailto:founders@anaphero.com).",
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        "created_at": "2024-03-05T05:38:35.388Z"
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        "title": "InQuery - AI-powered Claims Management System",
        "tagline": "InQuery eliminates tedious back office claims admin work like data capture, document management, and claims research so that adjusters can focus on providing world-class service to claimants.",
        "body": "\\*\\*TLDR: InQuery helps carriers, state funds, self-insured employers and TPAs automate tedious parts of the claims processing workflow so that claims can get closed faster and litigated less.\\*\\*\\\n\\\nHey everyone, we’re [Erick](https://linkedin.com/in/erick-enriquez) and [Khalil](https://linkedin.com/in/khalil-miri?challengeId=AQHWHo0KU27KHgAAAYtAT5ChJwAxKyHDUTBZ_lM6cVviquDDjRyqB9xJxhlm0ATSXVRSaWgd29Ey0nUP_7m83XuDx3BvDkY4Jw&submissionId=2e9e84f8-0d0e-8f17-0b3e-f45c8158d27c&challengeSource=AgHqCrfI9npr2QAAAYtAT8XC638RucWqcGTLCZ7eovbJ-AYf7th1Rp30ur3XDSY&challegeType=AgHlTtcDd_2XCAAAAYtAT8XEcBz-r74sxX0ukDxvpdpO-N0f--z8dVw&memberId=AgFc2--6eoHdUwAAAYtAT8XHLvuvaBS3QEThr7PWG6--ydU&recognizeDevice=AgExDFN6a2fGlAAAAYtAT8XJR2ljtKp39iqIOlBAMno1-CUSmezV) and we’re building [InQuery](https://www.inquery.ai/). \\\n\\\n**🔍 Problem**\\\nThe insurance industry is facing a labor shortage that is creating a negative spiral for staffing. As carriers struggle to hire, existing talent is getting overloaded and under-trained, causing severe retention issues at most large carriers. This talent squeeze means that per-case performance quality drops, leading claimants to experience confusion and frustration, which inevitably drives litigation rates upwards as they seek representation and support. As a result, average claim costs are rising, squeezing carriers expense ratios at the same time as inflation causes ballooning medical costs. \n\nStill, claims adjusters like my sister spend most of their day transcribing telephone calls, navigating large sets of semi-structured policies, and mapping data from large and complicated medical documents to relatively structured schemas in their existing CMS.\n\n**🦾 Our Solution**\n\nAt InQuery, our mission is to develop AI agents tailored for the insurance industry, beginning with with claims handling. These agents will enable claims handlers to concentrate on high-impact settlement strategies, effective negotiations, and casualty remediation processes. The result? Reduced litigation rates, improved loss ratios, and enhanced satisfaction for both employees and claimants.\n\nBut our vision doesn’t stop there. As we perfect our AI solutions for claims handling, we’re poised to expand into other insurance-specific workflows, bringing efficiency and innovation to every corner of the industry. Our AI agents will seamlessly integrate with your current team, taking over repetitive tasks and collaborating with human staff where their expertise is needed most. Join us in redefining insurance processes and empowering your workforce to achieve more.\\\n\\\n\\*\\*👋 About us:\\*\\*\\\nBefore starting InQuery, we’ve been best friends since living in the same dorm during our freshman year studying Computer Science at Stanford.\n\n![](https://lh7-us.googleusercontent.com/krqSs7LIAO18m20ptblmaz74UhYwXwAMIHwY22ZLG4orANZ2GRjnjk9U_mmiBdOVwR2KlSvdH0StCYadIwufhj2T3V8cv7o5q3BHT04hsA_F_aMm-uN6mHA_-OdQJG8axjRNS3tZVuqGZg7vAhMJkcE)\n\n\\\n**Our Ask**\\\nIf you or anyone you know has experienced the pain of handling claim caseloads of upwards 100+ active cases, we’d love to chat. We’re looking for intros to carriers, self-insured employers, and TPAs. \\\n\\\nEven if our product isn’t the right fit for you yet, we’d love to learn about what’s working well and what’s broken at your organization and share what we’ve learned from talking to dozens of carriers ourselves.",
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        "full_name": "Sho Sugihara",
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        "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![uploaded image](/media/?type=post&id=83233&key=user_uploads/1507819/169bfbcd-d6cd-41ba-86d1-f63d06334f04)\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![uploaded image](/media/?type=post&id=83233&key=user_uploads/1507819/bb33a54c-d510-46da-88bf-afe733d457c3)\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)",
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        "body": "Hi everyone, we’re [Tiantian](https://linkedin.com/in/tiantianzha) and [Max](https://linkedin.com/in/akhterov), the founders of [Andy](https://with-andy.com).\n\n**Andy completes clinical documentation for nurses doing home health visits**.\n\n### **What is home health?**\n\nSkilled nursing in the home is a booming business, on track to double to $250B in by 2031. Better outcomes, lower costs, and aligned with patient preferences: it’s no surprise large insurers are scooping up home health providers.\n\n![uploaded image](/media/?type=post&id=78586&key=user_uploads/932678/56616808-3fe2-4b7d-8bdb-b670e0ed70e2)\n\n### **The problem: too much charting**\n\nOn the ground, however, we’re seeing widespread burnout among nurses. The worst part of the job is documentation, which can take 90 minutes for a single patient and costs agencies $8B per year. Agencies that employ these nurses struggle to submit _high-quality_ documentation in a _timely_ manner, which is hurting their top line.\n\n### **The solution: an AI scribe**\n\nAndy is an AI-powered ambient scribe designed specifically for home health nurses. Nurses record their visits using their Andy app and receive a chart completed by Andy straight into their EHR. With Andy, the 90-minute documentation process is now a 15-minute review.\n\n### **Meet Team Andy**\n\nWe’re a healthcare & AI team focused on pressing public health challenges. America’s rapidly aging population needs home health. We’re building tools to restore joy & connection to the profession.\n\n![uploaded image](/media/?type=post&id=78586&key=user_uploads/932678/325091cd-9334-41c7-a3c0-551987559a77)\n\n* [**Tiantian Zha**](https://linkedin.com/in/tiantianzha) previously led an AI and robotics project at Google Life Sciences to eliminate mosquito-borne diseases, a public health challenge affecting 400M people each year.\n* [**Max Akhterov**](https://linkedin.com/in/akhterov) previously built health AI algorithms for the Apple Watch, including the passive detection of atrial fibrillation which is running on 50M devices.\n\n### **How you can help**\n\nDo you know any home health operators? Please share [Andy](https://with-andy.com) to help them get accurate documentation done on time!",
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        "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![uploaded image](/media/?type=post&id=82452&key=user_uploads/1676544/c167d705-6bb6-44bf-86be-5eec9824edc3)\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![uploaded image](/media/?type=post&id=82452&key=user_uploads/1676544/1f3bc0eb-72b6-4c8b-80d3-d3172a311f1f)\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### ",
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        "full_name": "Emily Egerton-Warburton",
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        "full_name": "Arda Goreci",
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        "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![uploaded image](/media/?type=post&id=83137&key=user_uploads/1373049/1cde2313-c3fb-4cc4-a836-3dd991f69ae9)\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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        "title": "Oma Care - Get paid for taking care of your loved ones 🏡💖",
        "tagline": "We are building the technical infrastructure to train and pay the 53M family caregivers in the US.",
        "body": "### **👨‍👩‍👧‍👦 Backstory:**\n\nWhen my grandmother was diagnosed with cancer, my family rallied around her to take care of her at home. The same happened when my cousin was diagnosed with a developmental disability. Today, there are 53 million Americans who take care of their aging, disabled, or sick loved ones at home.\n\n### **🚨The Problem:**\n\nLast year, family caregivers in the US provided 36B hours of unpaid care ([$600B](https://press.aarp.org/2023-03-08-New-Report-Highlights-Increasing-Cost-of-Family-Caregiving-in-the-US)) because:\n\n1. **The nurse shortage:** right now, up to [70%](https://thearc.org/blog/private-duty-nursing-makes-community-living-possible-how-you-can-help/#:\\~:text=Right%20now%2C%2050%20to%2070,the%20families%20who%20need%20it.) of at-home nursing shifts are going unfulfilled. When these shifts go unfilled, family caregivers are left to fill in the gaps. In one state, [1 in 5](https://www.northcarolinahealthnews.org/2023/10/04/nc-home-nursing-shortage/) caregivers lost their job to take on the role of a full-time caregiver.\n2. **Soaring in-home care costs:** even if you can find a nurse, the average cost of professional in-home care exceeds $60,000 annually, placing it out of reach for [83% of families](https://www.kff.org/health-costs/poll-finding/the-affordability-of-long-term-care-and-support-services/).\n\nMost caregivers **unknowingly qualify for government programs that compensate family caregivers**, largely because the application process is confusing & filled with red tape. These programs are a patchwork of private and public insurance benefits with complicated eligibility requirements, glitchy websites, and long paper forms.\n\nIn one case, I spent **3\\.5 hours** on the phone to sign someone up, had to fax **30+ pages** of eligibility forms, and then **another hour** on the phone to check if they were received. All before even starting the application. Plus, the office was only open during work hours, the phone line was only available in English, and the first agent I spoke to had never even heard of the program before.\n\n### **🌟 The Oma Way:**\n\n**We unlock a way for the 53 million caregivers to get paid up to $28/hour ($60,000/year) for doing what they are already doing.** Oma Care offers free training and support to these caregivers, empowering them to deliver effective care. As a result, we unlock financial compensation for these family members through automated Medicaid and Medicare reimbursements.\n\n**Some examples of things we do:**\n\n* **Automated eligibility verification & program enrollment:** Our AI agent will call the government and spend hours on the phone so you don’t have to. We also fill in those 30+ page forms and submit them on your behalf so no one has to learn how to use a fax machine like I did 😆.\n* **Educational training**: [65% of patient care](https://www.caregiver.org/resource/selected-long-term-care-statistics/) is done by family caregivers, and we help by training them with the medical skills and knowledge they need to care for their loved ones.\n* **Healthcare management:** We prompt medication reminders, give them personalized care plans, and connect all their home health data to their provider.\n* **Technical Infrastructure:** As a caregiver, you want to focus on giving your loved one care. We streamline financial and medical compliance so caregivers don’t have to worry about payroll, liability insurance, workers comp, medical coding, billing, etc.\n\n### **✅ And we’re seeing buy-in from all parties:**\n\n**Caregivers** are eager to finally get paid for the work that they are already doing. [77%](https://www.aarp.org/home-family/your-home/info-2021/home-and-community-preferences-survey.html) of **patients** prefer to get their care at home from someone they know and trust. **Payors & providers** are excited by the idea of rewarding proactive health management to reduce costs (by up to 40%) and readmission rates (by up to 20%). And the **government** is making strides to support family caregivers, rolling out [350 federal programs and initiatives](https://acl.gov/sites/default/files/common/NatlStrategyFamCaregivers_FedActions.pdf) last year and counting. Plus, our software monitors the usage of these programs, making sure CMS dollars go a long way.\n\n### **🌱 The Big Vision**\n\nWe believe that the **future of care is at home** and we are building the technical infrastructure to achieve that vision. With a [47% increase](https://www.prb.org/resources/fact-sheet-aging-in-the-united-states/#:\\~:text=The%20number%20of%20Americans%20ages,from%2017%25%20to%2023%25.&text=The%20U.S%20population%20is%20older%20today%20than%20it%20has%20ever%20been.) in our aging population by 2050, the pressure is on to find a solution to support our caregivers - who provide [65% of patient care](https://www.caregiver.org/resource/selected-long-term-care-statistics/). Our early adopters - family caregivers - are our first stop.\n\n![uploaded image](/media/?type=post&id=79269&key=user_uploads/89898/a3891622-3088-4d9c-877c-0449f30ba254)\n\n### **🏥 🇨🇦 👨‍👩‍👧‍👦 The Team**\n\nWe ([Arianna](https://www.linkedin.com/in/arianna-galbraith/) and [James](https://linkedin.com/in/james-galbraith)) have frontline clinical experience (Medicine @ McGill) + health policy and family care experience (MPH @ Columbia) + Soft Eng experience from Amazon. We are also a **team of caregivers** - having had first-hand experience taking care of our loved ones (cousin, grandma) and thus are personally passionate about solving these issues and supporting our caregivers.\n\n### **💌 Our Ask**\n\n* **If you or a family member are taking care of a dependent loved one** - let us know! We will help you figure out if they qualify for these programs for free. Email us at [founders@omacare.com](mailto:founders@omacare.com).\n* \\+ If you know anyone in the home care industry — home care agencies, hospitals, etc. — we would deeply appreciate an introduction.",
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        "created_at": "2024-03-11T19:34:54.498Z"
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        "title": "Velorum Therapeutics: Powerful cancer drugs that starve tumors",
        "tagline": "We're developing a new class of cancer drugs that starve tumors by hijacking cancer metabolism.",
        "body": "### **ABOUT VELORUM**\n\n[**Velorum Therapeutics**](https://www.velorumtx.com/) **is developing a new class of cancer drugs that starve tumors by hijacking cancer metabolism. We have shown our drugs work in mice and plan to begin human clinical trials next year, starting with the #1 cancer killer – lung cancer.**\n\n### **OUR SCIENCE**\n\n**We’ve discovered that cancers are addicted to a molecule called ‘heme’.** Heme, which is well-known as the central component of ‘hemoglobin’, is used by the mitochondria to make energy. Cancers ‘steal’ free-floating heme from the blood to fuel their rapid growth. **Our patented drugs starve cancer by removing this heme that cancer cells need, but normal cells don’t.** We’ve shown in animals that our drugs are highly effective for multiple cancers, without affecting healthy cells, even at the highest doses. Also, by starving tumors, we make them weaker and more susceptible to existing cancer treatments, like radiation, chemo, and immunotherapies.\n\nThe body has a natural system to clean up this free-floating heme, but it gets overwhelmed by cancer. **Our drugs essentially amplify the body’s natural heme removal system.** We let nature do most of the work – our drugs are built from proteins that have evolved over millennia to be perfect at capturing heme. Importantly, heme is the exact same molecule across all mammals, meaning the results we see in animals have a higher chance of translating to humans.\n\nWe’re starting with lung cancer, with a lead drug advancing to first-in-human trials next year. **Because multiple types of cancers have this same vulnerability, our lead drug could potentially be used for lots of cancer types and become a standard-of-care treatment.**\n\n### **OUR TEAM**\n\n[Parsa](https://linkedin.com/in/parsa-modareszadeh) and [Pouya](https://linkedin.com/in/pouya-modareszadeh) are twin brothers and scientists who spent their entire adult lives studying how cancers make energy. They worked together on this breakthrough science over the past 5 years, helping develop this promising new class of cancer drugs. They founded Velorum to advance this breakthrough to patients, surrounding themselves with a team of world-class drug developers, scientists, and clinicians.\n\n![uploaded image](/media/?type=post&id=78069&key=user_uploads/1647572/3e39d62c-27d4-4f86-8e4b-94e9bc70772e)\n\n### **CONTACT US**\n\nTo learn more about our science or support us on our mission, please reach out at [info@velorumtx.com](mailto:info@velorumtx.com)",
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        "title": "🤖 Somn - AI receptionists for healthcare clinics",
        "tagline": "We help clinics answer calls, book appointments, and call patients using AI voice assistants that sound human.",
        "body": "### **The Problem**\n\nClinics do a lot of phone calls— booking appointments, following up after a visit, reminding patients of a visit, verifying insurance, calling referring providers, etc. These calls prevent staff from interacting with patients, building relationships with families, and completing clinical documentation.\n\nIn specialties like physical therapy, some clinicians just let the phone ring out if they’re seeing a patient, resulting in unhappy patients and lost revenue.\n\n### **The Solution**\n\nOur AI assistants handle any phone call that involves a repetitive task, so clinicians can focus on helping patients.\n\nWe don’t ask clinics to rip out any technology to use our agents. That means we integrate with fax machines, EHRs, and existing phone systems.\n\n### **Our Background**\n\n[**Shawn Shivdat**](https://linkedin.com/in/shawn-shivdat) (CEO) grew up helping his mom in her private practice and built software at Massachusetts General Hospital while studying Computational Neuroscience at Harvard.\n\n### **💥 The Deal**\n\nFor clinics, startups, and systems who work with us before Demo Day, we’ll integrate with existing systems (including EHRs) for free.\n\nGet in touch with me at [shawn@penciled.com](mailto:shawn@somnapp.com)",
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        "title": "Eris Biotech - Developing drugs that reawaken the immune system to kill cancer",
        "tagline": "Tumors turn OFF the immune system. Our drugs turn the immune system ON to kill cancer.",
        "body": "**About us**\n\nHello 👋 We’re [Evita](https://www.linkedin.com/in/evita-weagel/) and [Rachel](https://www.linkedin.com/in/rachel-brog-garlick/), co-founders of [Eris Biotech](https://www.linkedin.com/company/eris-biotech). We met working at the same lab at BYU when Evita was a Ph.D. student and Rachel was an undergrad. We collaborated on a peer-reviewed paper and conference presentations, and we’ve been friends since! Rachel went on to Dartmouth for her Ph.D. and later worked at a startup developing cell therapies. Evita went on for a postdoc and a career in drug development in big pharma. Rachel has developed multiple novel therapies for patients and Evita has brought numerous drugs to the clinic. We’re excited to bring our expertise together to build a first-in-class treatment that follows our mission to aggressively fights cancer, but also improve the patient experience.\n\n![uploaded image](/media/?type=post&id=78251&key=user_uploads/1579332/86e96bb5-bf3c-4acc-9041-1efbe0d836a0)\n\n**Our Backstory**\n\nEvita, working in drug development, saw promising cancer drugs fail because they were simply too toxic. Rachel, in cell therapy, saw the same problem as treatments that worked in principle caused too much collateral damage. Both realized that the real issue was not just the drugs themselves but the way most cancer treatments rely on toxic approaches that also wipe out our best weapon against cancer, the immune system. Tumor immune evasion is one of cancer’s greatest strengths, yet few were tackling it head-on. We founded Eris Biotech to change that and to develop therapies that stop tumors from hiding and reawaken the immune system.\n\n**The Problem**\n\nOne of cancer’s greatest weapons is its ability to hide from the immune system. Tumors release billions of **tiny vesicles** that contain “don’t attack me signals” and  shut down the immune system, blinding it to their presence. This immune evasion lets cancer spread unchecked while most current treatments, such as chemotherapy, radiation, and even some immunotherapies, further weaken the body’s natural defenses.\n\n**Our Solution**\n\nEris Biotech develops small-molecule drugs that prevent tumors from forming and releasing immune-suppressing **tiny vesicles**. By stopping this process, we remove cancer’s disguise, restore immune surveillance, and give the body’s natural defenses the upper hand. Essentially, our drug doesn’t kill cancer directly like toxic chemotherapies – instead, our drug awakens the immune system to fight cancer for you. This approach targets one of cancer’s most powerful survival strategies while avoiding the high toxicity of traditional treatments. We’re starting by targeting mesothelioma, a cancer of the lung lining, with a 5-year survival rate under 13 percent.\n\n**Contact us**\n\nIf you want to learn more about our science and mission, you can reach us at [**founders@erisbio.com**](mailto:founders@erisbio.com)",
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        "tagline": "Our lab-in-the-loop protein copilot rapidly iterates upon hypotheses to design better medicines",
        "body": "_Junction Bioscience is a therapeutics company building an autonomous AI scientist to navigate the discovery of transformative medicines. Our scientific hypothesis engine iterates upon breakthrough chemistry from the laboratory to achieve clarity and control over the molecular basis of disease. We focus on the intersection of neuroinflammation and immunology, where uncommon molecular insights position us to develop best-in-class therapies for millions of patients in need._\n\n# **Our thesis: A hypothesis engine to scale and commercialize scientific creativity**\n\nOur ability to measure and manipulate biology has grown beyond the wildest expectations. Yet, thousands of diseases remain with inadequate treatments. **The global biotechnology industry now faces a human bottleneck where the ability to formulate hypotheses and design rigorous experiments is far outpaced by the deluge of accessible data.**\n\n![](https://bookface.ycombinator.com/media/?type=post&id=79473&key=user_uploads/95683/8ef19807-b544-406f-95ba-cd1b724322a1)\n\nA new wave of powerful tools spanning both wet lab and computation has emerged for answering scientific questions. From our perspective, the greatest challenge and impact lies first in asking the right questions rather than simply accelerating the answers. The eventual success of a pharmaceutical drug in the clinic hinges upon crucial insights formed years in advance, and there is little ability to backtrack if better routes are identified. **Our autonomous hypothesis engine represents a revolutionary turning point where AI that can reason and rapidly formulate, test, and refine valuable ideas will work alongside interdisciplinary scientific teams.** Rather than looking for the proverbial needle in a haystack, our approach begins with the patients and centers on identifying the best possible mechanism to reverse disease with minimal side effects. We are excited about the broader industry applications of this new approach to scientific research and general-purpose AI. At the same time, we understand the real-world complexities of bringing medicines to the clinic and remain laser-focused on conducting our technology R&D in lockstep with efficient progression of our therapeutic programs.\n\n# **Our science: reconciling the physical world of atoms with cellular behavior**\n\nWe are focused on a narrow set of phenomena that are ubiquitous across drug targets yet pivotal for our autoimmune and inflammatory disease programs. **Our technology translates the dynamic physical world of atoms into a chemical code that we apply in our laboratory to change cellular behavior.** Reconciling biophysics with pathway biology is a holy grail of drug discovery and we are dramatically pushing this frontier. For instance, we are able to improve the signal-to-noise ratio in measuring molecular interactions in living cells by a factor of 1000x. **This challenging feat rewards us with unprecedented clarity into the molecular basis of disease and how to reverse it.** We select our targets based on where our laboratory provides an ideal data source for our AI and where validated biology meets enormous unmet patient needs and market opportunities.\n\n# **Our Team**\n\nWe are a small, creative team with the highest scientific standards. Our founder, [Brian Petkov,](https://linkedin.com/in/brian-petkov-b2a63680) is a theoretical physicist and drug hunter with degrees in mathematics and chemistry from Duke University and doctoral training from NYU. He was previously the first employee and Vice President at a computational drug design startup, where he led the Machine Learning operation and grew a 30-person team to success on previously undruggable targets.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=79473&key=user_uploads/95683/2065cfb8-c5f0-4790-a234-62883511c4dd)\n\nAfter years in the biotechnology industry, he realized that the major bottlenecks in early drug discovery could be solved using a combination of AI and wet-lab molecular biology techniques that very recently emerged. He started Junction Bioscience to tackle the biggest challenges and markets and ultimately bring meaningful cures to patients in need.\n\n# Traction\n\n**We received our first six-figure partnership within a week of incorporating, and our early academic case study kindled a successful research collaboration with big pharma.**\n\n# \n\n# The Ask\n\nWe welcome collaboration proposals around our drug discovery platform. We are focused on our internal therapeutics pipeline and are open to partnership discussions across the biotech and pharma ecosystems. Contact [brian@junction.bio](mailto:brian@junction.bio).",
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        "title": "Piramidal's foundation model for brain waves could supercharge EEGs | TechCrunch",
        "url": "https://techcrunch.com/2024/08/23/piramidals-foundation-model-for-brainwaves-could-supercharge-eegs/",
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        "id": 78840,
        "title": "Piramidal: Foundation model for the brain 🧠",
        "tagline": "Get instant diagnosis for the vast majority of neurological conditions using our Foundational AI.",
        "body": "### **What is a brain foundation model?**\n\nWe are building a foundation model, from the ground up, trained on a massive and diverse corpus of brainwave data i.e. Electroencephalography (EEG). In other words, similar to how Large Language Models (LLM) are trained on human language ie. text, our model is trained on brain language ie. brainwaves. \n\nOur foundation model will be able to understand and detect the many facets of brain activity, from disease to wellbeing. Crucially, **similar to how ChatGPT can be fine-tuned to become a lawyer or a python developer, our brain foundation model will easily be fine-tuned to become a neurologist co-pilot or a biomarker discovery assistant.** And, this is only our first milestone - more on this below.\n\n![uploaded image](/media/?type=post&id=78840&key=user_uploads/1662387/900c449d-eefe-4a06-a12b-60617c60c437)\n\n### **The opportunity**\n\nOur brain foundation model will address a variety of use cases with minimal training, such as:\n\n* **Diagnosis** of a vast majority of neurological conditions.\n* Drug and **biomarker discovery** in clinical trials. \n* **Remote monitoring** of brainwave abnormalities, e.g., treatment response to drugs or sleep irregularities.\n* Real-time tracking of brain health, such as cognition or head injuries, measured through **helmets in sports and military**.\n* Empowering devices such as **Apple Vision Pro and Meta Quest** to translate brain signals into everyday actions.\n\n### **Why are we starting with neurological conditions?**\n\nDuring his PhD at London's St Thomas' EEG department, Dimitris discovered a key insight: EEG is a crucial test for neurological disorders, but its manual review process is both slow and error-prone. Specifically:\n\n* **Neurologists manually inspect the EEG** brainwaves to identify abnormal patterns. This can lead to a 30% margin of error and crucially misdiagnoses.\n* There is a **substantial rise of EEG data** being collected, due to the deployment of  remote EEG devices. Despite these remote devices continuously recording patients at home, there is no way to review this enormous and continuous stream of incoming data. \n* Conversely to the upward EEG data trend, **there is an extreme shortage of neurologists** leading to wait times lasting several months.\n\n### **Our first product**\n\nOur first product is **a copilot for epilepsy diagnosis**. The product, which is powered by our brain foundation model, will assist neurologists by obtaining diagnostic insights around a patient’s EEG, in real time. This approach cuts down the time to review EEG from hours to seconds. Additionally, our standardized EEG analysis reduces the margin of error from manual inspection, which in many cases leads to misdiagnosis and recurrent hospital visits.\n\nShortly after epilepsy, we will fine tune our foundation model to provide diagnosis for a vast majority of other conditions such as sleep and cognitive disorders.\n\n### **Who we are**\n\nWe are [Dimitris](https://www.linkedin.com/in/sacellarius/) and [Kris](https://www.linkedin.com/in/kris-pahuja-a59a905b/). Dimitris has a **PhD in neuroscience and AI**, and has been working on EEG for 12 years, but also shipped production level AI as a deep learning lead at IQVIA. Kris has a product background, building **healthcare and AI products across Google and Spotify**. We are both avid musicians and love punk rock. \n\n### **Our ask..**\n\nWe are looking for intros to:\n\n1. Neurologists, sleep doctors, neurotech companies, or companies in clinical trials in order to sign LOIs. We can automate the analysis of the brainwave (EEG) data at a fraction of their current cost.\n2. Academic or healthcare institutions that store EEG data. In exchange for accessing their EEG records, we will provide our model for free for research purposes.\n\nYou can send them our way to [info@piramidal.ai](mailto:info@piramidal.ai)!\n\nPlease also share our post and spread the world - you never know who it might help! 🖤",
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        "title": "TrueClaim: The world's first transparent, AI-enabled healthcare TPA (that doesn't suck)",
        "tagline": "Do you run a self-insured company? Try TrueClaim.",
        "body": "# TL;DR TrueClaim is launching the world’s first transparent, AI-enabled healthcare third-party administrator for self-insured companies. Our technology saves 7% of healthcare costs with no change in benefits.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXd330rcwyKAbzotz0OObzIOs_JWDEXzzgCk1x3obUhZs4ZJS0cF_LIglovUqHIoPsEe5ITuLtZqKZVp5te5tfJ_jVdIC2tExxkLDcS9gpqBqmnLilhLaXTVTYk73pb7ur0WXaWRVo_bfvqsSl858uEk2UA5?key=kUzqH6YgtferRadsNsWOWw)\n\n**Healthcare is expensive…**\n\nHealthcare benefits represent the second largest budget item in companies. While large corporations have internal resources and leverage to customize their plans, companies with <1,000 employees struggle to keep up. Healthcare costs are projected to grow by another 7% in 2025. Once again, employers will have to choose between increasing their expenditures, passing these extra costs onto their employees, or worsening benefits.\n\n**…and we’ll fix it**\n\nTrueClaim uses healthcare data and technology to enable benefits teams to offer better benefits at a lower cost. Our AI-enabled engine adjudicates and continuously reviews 100% of medical expenditures to save over 7% of healthcare costs. The savings can be as high as 20-30% when our benefits design suggestions are implemented.\n\n_This platform = Quickbooks for healthcare benefits expenditures_\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeapGNXENFUScw2eAohjkZSPT3j3cwdbRP1OHxVIWQMtq5fCNjPFd3VyLTdpKIY5Skhhl0M1ouBw2EI4S4SDj6sywJ_ZQDz71EIJsZXhoU4Oti3th7dG6xkZCRUuzjs_jc_4LTnNDCJQt_lv7_DyZjIGxvn?key=kUzqH6YgtferRadsNsWOWw)\n\n_This app = how a member knows they can get better cheaper healthcare_\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdat2XUZvAVJcj_2WH2JueXck-rt7yZAAfGZIWyE0ea3_HsXypFg9x_e0KaJYwYAigh3hJTG1nzPIhWFPHWc46Z4BC5dZcGE96Hqz03849gDj3MBWZPFVKXVNZ00DsHJfT-DzFcau5jCrUcL_0LlGRXtjU?key=kUzqH6YgtferRadsNsWOWw)\n\n**Not so fast!**\n\nOur first product reviewed medical bills for errors. It turns out that people don’t like interacting with their medical bills (surprise but no surprise). Naturally, we offered a similar solution to companies. Long story short, the best way to deliver on our vision to save 1.5% of GDP while improving quality of care is to be in the middle of healthcare transactions. If you are running a self-insured company and you just got curious, we should chat. \n\n**Who are we?**\n\n[Barbora](https://linkedin.com/in/podzimkovab) (CEO) ran HR, Benefits and Billing as Senior Director of Operations & Strategy as employee #30 at Hinge Health. [Bobby](https://linkedin.com/in/rwbayer) (CTO) built an end-to-end revenue cycle management platform as Senior Engineering Manager at pMD. [Dr. Leider](https://www.linkedin.com/in/hleider/) (Chief Medical Officer) is a board-certified internist with over 25 years of experience as a physician-executive, including serving as CMO of Walgreens.**\\\n\\\nOur Asks**\n\nTrueClaim is currently quoting customers with 1/1/25 benefits renewal dates. This is a crucial time for our company, and we’d appreciate your help:\n\n* Share this post! \n* Connect us with self-insured companies &/or their brokers and consultants\n  * \\* quick blurb to copy & paste: A team of experienced healthcare founders recently launched a new transparent healthcare TPA for self-insured companies that saves 7% of healthcare costs without a change in benefits. Check them out and contact [founders@trytrueclaim.com](mailto:founders@trytrueclaim.com) for more.",
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        "title": "👩‍⚕️ TrueClaim: Automating healthcare cost savings for companies",
        "tagline": "Our technology saves self-insured companies 7% of their healthcare budget.",
        "body": "👋 Hi\n\nWe’re [Barbora](https://www.linkedin.com/in/podzimkovab/) and [Bobby](https://www.linkedin.com/in/rwbayer/) from [TrueClaim](https://www.trytrueclaim.com/).\n\n**TLDR: Our software uses newly available healthcare data to save self-insured companies 7% in healthcare costs. **[**Schedule a demo**](https://calendly.com/barbora-k0k/trueclaim-founder-connect)** to see for yourself.**\n\n![uploaded image](/media/?type=post&id=79378&key=user_uploads/1125239/d7fb1137-606d-42e6-bd3a-e5e4336a3c90)\n\n**We saw a problem**\n\nThe American economy is on the verge of collapsing because of the ever-growing healthcare costs. Companies can no longer afford to pay 10% more to provide healthcare coverage to their employees every year. Something’s gotta give and we think that self-insured companies that provide healthcare benefits to 100 million Americans are in a great place to lead the change.\n\n**Our ‘Aha! moment’**\n\nWith AI advancements and the 2021 CAA laws that force insurance companies to give self-insured employers full access to their itemized healthcare invoices, we can build technology to help companies understand and manage their healthcare spending better than ever before. This allows benefits leaders to make the best decisions for their company and their employees.\n\n**TrueClaim was born**\n\nTrueClaim automates healthcare cost savings for self-insured companies using medical claims and price transparency data. TrueClaim continuously reviews 100% of healthcare invoices to detect billing errors, pharmacy and care savings opportunities. So far, we have identified an average of 10.96% savings opportunities in the $20.2M worth of medical claims we’ve reviewed since January. We also offer a cost recovery service with a 3x ROI guarantee.\n\n_Example #1: How can my company save on pharmacy expenditures?_\n\n![](https://lh7-us.googleusercontent.com/ZuELTk3UF9j1VmhZB-MnwM09PDdV8dAzvZupmTumlC90z7SjoJyQ970paZgTeZhZpvdB2GIlGQmPIoUjgBYbW5HsKE3e4g-VIedGEuPSy9IMcUqO3iyYtiv7y0kCr-2pUiNkO9kts22Pu3pGJ7sAZRI)\n\n_Example #2: How much would my company pay for healthcare with another health plan?_\n\n![](https://lh7-us.googleusercontent.com/sSMt3X37qNflLVvZ5vcbCTSa5hw8FwnKdk0HQHSks8jY688gsWddRT1Q7oXDStTU0kQbAEgw3hhEoaA23KQZKwz5Zg79NArTOWRMSG-13LozbvuDWSyGLpVITH-wRc6DzpF665II6pX3wuqEFmPERBQ)\n\n_Example #3: How are the various benefits offered to my employees being used and helping?_\n\n![](https://lh7-us.googleusercontent.com/Bzz1Vf496UWgUjeWKm0wd30CMPpiaiav3najTKVSrGglWy07BMuJQj_RajjIs-NWhCn9gj0dDXsSjr86zSl_3g9F-Legtg6VShyjUkOHktduqdPe_cpcbAZ9pro8nPRw43hV7dMZIJ3LAbnDSGlv_-8)\n\n**Our team**\n\nAs employee #30 at Hinge Health, Barbora built and ran a number of functions, including HR, Benefits, and Customer Billing. At Pine Park Health - a YC company in the value-based care space - she ran support, care coordination, and more. Barbora has her MBA from Stanford. \n\nBobby spent 7 years as a Senior Software Engineer building and scaling healthcare technology solutions at pMD. He established and grew pMD’s RCM software and services divisions and launched patient engagement software. Bobby has a Computer Science & Engineering degree from Santa Clara University.\n\n**So what?**\n\nWe’ve got big plans cooking! We are looking to speak with more Benefits Consultants who specialize in working with self-insured companies as well as Benefits / Total Rewards VPs / Directors / Managers. Please reach out or intro via [founders@trytrueclaim.com](mailto:founders@trytrueclaim.com) or schedule a demo directly [here](https://calendly.com/barbora-k0k/trueclaim-founder-connect).",
        "url": "https://www.ycombinator.com/launches/KeI-trueclaim-automating-healthcare-cost-savings-for-companies",
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    "long_description": "We're building the HaploHub: a SaaS platform for genetic testing labs, concierge medical practices, and payer/providers to: \r\n * predict disease risk for their patients based on proprietary or publicly available genetic models\r\n * securely host, manage, and interrogate the genetic data of their population\r\n * generate reports and run the most common inference algorithms (phasing, imputation, ibd, etc.) without writing code \r\n\r\n",
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        "title": "Haplotype Labs - Personalized prevention using genetics and AI",
        "tagline": "Our product, the HaploHub, makes the world's best genetic risk models available to precision prevention programs, clinical trials, and genetic testing labs using any laboratory, microarray or next generation sequencing technology.",
        "body": "Hi! I’m [Mike](https://linkedin.com/in/polcari), founder of [Haplotype Labs](https://www.haplotypelabs.com). At Haplotype Labs, we believe that more precise prevention and screening will lead to longer healthspan and lower healthcare costs. \n\n![uploaded image](/media/?type=post&id=79664&key=user_uploads/1647013/730b958e-b667-4136-968b-5543aa5b9090)\n\nWe're building the HaploHub: a software platform that helps genetic testing labs, clinical trials, and prevention-focused medical practices to deploy **AI models that use genetics to predict, detect, and prevent disease**.\n\nI joined 23andMe after Series A and helped take it public after over 15 years as VP / Chief Architect. The technology that my team and I developed at 23andMe has delivered more genetic risk reports to more patients than any other in the world, but the translation to patient outcomes remains unsolved. At Haplotype Labs, we are working to close that gap and accelerate the translation of polygenic risk scores into improved healthspan for patients. We’re building the tech I wish I’d had at 23andMe and making it broadly available to the clinic.\n\n**_Precision_ Preventative Care**\n\nPreventative care programs currently stratify patients into risk categories for various conditions based on imperfect but still useful risk factors like demographics and family history. Patient stratification allows a care provider to optimize the financial expense and negative side effects of any given prevention program. For example, people with a family history of colon cancer are typically screened more frequently.\n\nDriven by falling prices of sequencing and improved model power, preventative care is on the cusp of broadly adopting genetic risk models as a means to further personalize these prevention programs and extend healthspan. These models can also play a role in the discovery of new medicines, and can accelerate clinical trials.\n\nPublished methods are improving rapidly and new models are published consistently. However, it is difficult to correctly and reliably compare the performance of these models or deploy them at scale.\n\n**Advanced technology made simple**\n\nWe're building the HaploHub: an easy-to-use SaaS platform for genetic testing labs, concierge medical practices, clinical trials, consumer brands, and payers/providers to:\n\n* predict disease risk for their patients based on proprietary or 4000+ publicly available genetic models using any genome-wide germ-line or methylation assay\n* securely host, manage, and interrogate the genetic data of their population\n* run the most common inference algorithms (phasing, imputation, ibd, etc.) without writing code\n* transition to low-pass sequencing and save 50-90% on sequencing costs\n\n**Get in touch!**\n\nWe’re eager to get this technology out into the world! We would love to speak with concierge practitioners, clinical trial investigators, or anyone interested in using genetics to extend health span. If that sounds like you, please reach out!\n\n[yclaunch@haplotypelabs.com](mailto:yclaunch@haplotypelabs.com)",
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        "full_name": "Ashwin Nandakumar",
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        "founder_bio": "Ashwin completed his PhD (DPhil) in Oncology at the University of Oxford. After completing his PhD, he began working as a Cancer Research UK post-doctoral researcher at Oxford University and also at the Institute of Cancer Research (ICR), London. He also brings experience setting up oncology clinical trials and working in oncology start-ups. ",
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        "title": "🎯🦠  Granza Bio – Cancer targeting attack particles derived from our body’s immune system",
        "tagline": "We engineer \"attack particles\" that selectively target and kill cancer cells, eliminating unwanted side effects and toxicity.",
        "body": "**Tl;dr:** We are [Granza Bio](https://www.linkedin.com/company/granza-bio-yc-w24/), two PhD graduates in Oncology and Immunology from the University of Oxford on a mission to develop personalised and targeted cancer treatments. We are working on a new weapon in our immune system’s arsenal – “[**attack particles**](https://www.science.org/doi/10.1126/science.aay9207)”. We are turning this concept into a therapeutic product that can eliminate any cancer without harming the surrounding healthy cells, preventing adverse side effects.\n\nHey everyone, we are (Ashwin)²\n\n![uploaded image](/media/?type=post&id=78838&key=user_uploads/1718918/c608a07f-d480-40c7-bb19-16fc620b9666)\n\n# **Team**\n\n🧑🏾[Ashwin Jainarayanan](https://www.linkedin.com/in/jainarayananak/) – Clarendon Scholar and Synthetic Immunologist with extensive research experience on attack particles derived from immune cells.\n\n 🧑🏾[Ashwin Nandakumar](https://www.linkedin.com/in/ashwin-nandakumar-menon/) – Cancer biologist specializing in immuno-oncology, who has previously set up clinical trials and brings extensive Oncology start-up experience.\n\n👨🏻‍🔬 [Mike Dustin](https://www.kennedy.ox.ac.uk/team/michael-dustin) – Professor of Molecular Immunology at the University of Oxford. Widely recognised for his work on immunological synapses and discovered attack particles.\n\n# **❌ Problem:**\n\n\\~50% of cancer patients receive treatments that are (1) ineffective and (2) lead to unwanted and avoidable side effects.\n\n**(1) _High mortality rates:_** Ineffective treatments lead to cancer relapse and ultimately, increased likelihood of dying from cancer. Five-year survival rates are lower than 5% for patients with late-stage cancers including lung, pancreas, and brain cancer.\n\n**(2) _Toxicity and adverse side effects_**: While emerging treatments such as immunotherapy and CAR-T cell therapy are effective in some patients, they also impact their healthy tissues. This causes high toxicity and adverse side effects.\n\n# **✅ Solution: Granza Bio’s cancer-targeting attack particles**\n\nWe have identified **attack particles** ⚡: a powerful suite of weapons in our immune system’s arsenal. These attack particles carry proteins like **_granzymes_** and **_perforins_** that instantly kill cancer cells.\n\n[Watch how it works!](https://www.youtube.com/watch?v=f5IPz1YaAiE&ab_channel=AshwinMenon)\n\n# **📋 Factfile: Granza Bio’s attack particles**\n\n* **💀 High cancer-killing efficacy** in brain, ovarian, lung, and skin cancers.\n* ⚙ Engineered to target **only the cancer cells**, leaving the surrounding healthy cells untouched, meaning no toxicity or adverse side effects.\n* 🧠 Capable of targeting **brain cancers** by crossing the blood-brain barrier.\n* **🎯** Perfectly suited to a **platform approach** meaning we can use attack particles to target a great range of diseases including cancers, autoimmune diseases, and infections.\n* 🏭 **Highly stable** and easy to manufacture.\n\n**Lock & Key method – attack particle targeting cancer**\n\n# \n\n![uploaded image](/media/?type=post&id=78838&key=user_uploads/1718918/0fcc26f3-2645-4d78-aee9-8287c2e707c2)\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 to eradicating cancer and would like to learn more about what we’re doing, email us at [founders@granzabio.com](mailto:founders@granzabio.com)",
        "url": "https://www.ycombinator.com/launches/KVa-granza-bio-cancer-targeting-attack-particles-derived-from-our-body-s-immune-system",
        "votes": 762,
        "created_at": "2024-02-28T01:19:33.419Z"
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    "name": "ParcelBio",
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    "long_description": "ParcelBio is engineering a new class of mRNA medicines designed to deliver unprecedented potency and durability. Its proprietary APEXm™ platform uses novel RNA domains to enhance protein expression and extend activity, enabling therapies that reach the thresholds required for meaningful, and potentially curative, clinical outcomes. The company is advancing programs in autoimmune disease, oncology, and encoded protein therapeutics.",
    "one_liner": "Elevated mRNA for transformative medicines.",
    "team_size": 6,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Therapeutics",
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        "full_name": "David Weinberg",
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        "founder_bio": "David is the co-founder and CEO of ParcelBio. He was previously VP of RNA Platform at Orbital Therapeutics / Circ Bio, where he led the development of a circular RNA therapeutics platform. Before that, he was Sr. Director of Molecular Research at Freenome, where he built the multiomics diagnostics platform that enabled a blood test for the early detection of cancer​. David obtained his PhD from MIT, was a UCSF Faculty Fellow, and has been honored with Forbes ‘30 Under 30’ and an NIH DP5 Award.",
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        "full_name": "Chris Carlson",
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        "founder_bio": "Chris is the co-founder and CSO of ParcelBio. He was previously a scientist at Orbital Therapeutics, where he was the primary contributor on multiple patents regarding stabilization of therapeutic RNAs. Chris obtained his PhD from UCSF where he studied RNA packaging and protection in viruses.",
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    "name": "Ångström AI",
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    "long_description": "Angstrom AI builds GenAI-based molecular simulations to substitute wet lab experiments in the pre-clinical drug development pipeline. We are a team of 2 PhD's and 2 Professors from the University of Cambridge who decided to start a company together after we realised how to combine breakthoughs in our research in quantum-accurate models of physics and generative AI models.\r\n\r\nOur Biotech/Pharma clients can verify the efficacy and safety of new drug candidates using our computer simulations, which match the accuracy of wet lab experiments, but are over 100x faster. We achieve this accuracy by constraining our genAI-based simulations to obey the laws of physics, avoiding the hallucinations seen in other GenAI technologies.\r\n\r\nSince joining YC, Angstrom AI has developed the first physically accurate gen-AI based simulation of multiple molecules interacting. We have published the first molecule water solubility results with accuracy within the error range of wet lab experiments. We have also kicked-off a 150K pilot project with a pharma company to apply our tech to estimating solubility in their drug development pipeline.",
    "one_liner": "Gen AI molecular simulations that reproduce wetlab results",
    "team_size": 5,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Drug Discovery and Delivery",
    "launched_at": 1719350589,
    "tags": [
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      "Biotech",
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    "url": "https://www.ycombinator.com/companies/angstrom-ai",
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/angstrom-ai/",
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      "name": "Ankit Gupta",
      "url": "https://www.ycombinator.com/people/ankit-gupta"
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        "user_id": 1757871,
        "full_name": "Jose Miguel Hernandez Lobato",
        "title": "Founder",
        "founder_bio": "Miguel is co-founder of Ångström AI and Professor of Machine Learning at the Department of Engineering, University of Cambridge, UK. He has nearly 20  years of research experience in Machine Learning and his work has been cited over 15,000 times. His research in Machine Learning for Molecules has led him to build strong relationships with partners in BioTech and Pharma. Before joining Cambridge as a faculty, he was a postdoctoral fellow at Harvard University.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jose-miguel-hernandez-lobato-7790512a5",
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        "full_name": "Laurence Midgley",
        "title": "Founder/CTO",
        "founder_bio": "I'm the co-founder of Ångström AI which substitutes wet lab experiments with physically accurate GenAI molecular simulations for clients in Pharma and BioTech. Before founding Ångström AI, I was a research engineer at InstaDeep (acquired by BioNTech 2023), and pursued a PhD at the University of Cambridge in generative AI models for molecular systems. I love coding and surfing, reach out if you are in the Bay Area and want to catch some waves.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/laurencemidgley",
        "x_url": "https://twitter.com/SilkyDogfish",
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      {
        "id": 81767,
        "title": "Ångström AI: Gen AI molecular simulations",
        "tagline": "Replace wet lab experiments with gen AI molecular simulations",
        "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![uploaded image](/media/?type=post&id=81767&key=user_uploads/89898/2077fd93-2682-4e97-984e-99e64583d67b)\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. <https://www.youtube.com/watch?v=18AuJEVnwWA>\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   ![uploaded image](/media/?type=post&id=81767&key=user_uploads/649736/7ff4d768-80aa-4c10-b89a-1960aa64ce69)\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<https://www.youtube.com/watch?v=aK1MNLsQg2Y>\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![uploaded image](/media/?type=post&id=81767&key=user_uploads/649736/3b1a48bc-da17-4627-ad23-4d491b5be6d0)\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<https://youtu.be/EmTit8tC0TE>   \n\n<https://youtu.be/pq6Al2SATlg>\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!",
        "url": "https://www.ycombinator.com/launches/LGp-ngstr-m-ai-gen-ai-molecular-simulations",
        "votes": 35,
        "created_at": "2024-06-26T16:24:53.448Z"
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    "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": [
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      "Healthcare",
      "Health Insurance",
      "AI",
      "AI Assistant"
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    "batch": "Summer 2024",
    "status": "Active",
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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."
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    "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",
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      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
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      {
        "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/",
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      {
        "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/",
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      {
        "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"
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      {
        "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![uploaded image](/media/?type=post&id=93210&key=user_uploads/1753723/334db23e-a29e-4633-bfb1-57c94259e184)\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![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeu763mRuapSrYOVLGo_5FCjlG0c_9dUyncnOXfW1wNKvcmZr9Y51pfCvcFMcNAfe12p3dyfLAXTWQH9PkJ-IHExh3SWaC7KPoplpAYsE_YRTVWE2TUkHG3YlUAMB0vLHLO7YptTw?key=MP2f1P5qm-uzbzkuGXiGIg)\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![uploaded image](/media/?type=post&id=93210&key=user_uploads/1753723/e2f97acd-32f9-42d0-a5e0-5236e7ff6646)\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![](https://lh7-us.googleusercontent.com/docsz/AD_4nXcMXSY2xKtBcO4T1bMrr_zU44eg-Shd1X_9JaM3loR6QgKdsuVHkOByIopdf09h2mBDLkIN563IS6LnLwhLnwQrvpoJKiG3qxYI6sAyIFgs6VCP0o-Eq-Y4niQc9koDRqzATtjI71T-pZFVZCBWP1jRbrE?key=qI7khypm2_NJ8SwqwOuqbw)\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![](https://lh7-us.googleusercontent.com/docsz/AD_4nXfVVy8FtGG_dzB_Ok3lF30vt2HSlARjOP6gSLJxnRd52W9JDim6lUK79dMrMHCBKQrOW21-FgFVzw7PUXMc5dw2zQqJG6_dRPQ9l-0d1QQl8c4IN-lLTWQeuxSPjZweagiSJcKRq-hjVWkkud8rI_oBCU2k?key=qI7khypm2_NJ8SwqwOuqbw)\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![uploaded image](/media/?type=post&id=81329&key=user_uploads/1753723/1187d057-d8f6-4f2d-9472-44b209b86df4)\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": 29611,
    "name": "mdhub",
    "slug": "mdhub",
    "former_names": [
      "mdhub Inc"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c645ee5ac2dfc857e6927bf9a9ef4fb62efe8521.png",
    "website": "https://www.mdhub.ai/",
    "all_locations": "San Francisco, CA, USA",
    "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,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "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,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/mdhub",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/mdhub.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/mdhub-ai",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c645ee5ac2dfc857e6927bf9a9ef4fb62efe8521.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/fff5184160e1f447f6392edf35c0bb30720c9c6d.png"
    ],
    "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",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b79c056ce2ba927dd0590b791f3e542369aacf09.jpg"
      }
    ],
    "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,
        "salary_range": "$100K - $200K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 92727,
        "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",
        "role_type": "Full stack",
        "salary_range": "$120K - $180K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "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",
        "role_type": null,
        "salary_range": "$120K - $200K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "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,
        "salary_range": "$120K - $200K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "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![uploaded image](/media/?type=post&id=82215&key=user_uploads/1803359/0efac628-16d5-4d3a-9d1c-5e6ca1d672d6)\n\n\n# The Problem\n\nMental health issues are a growing concern in America, with approximately 50 million Americans currently grappling with a mental health condition. Alarmingly, this number is increasing by 1.5 million each year.\n\nConcurrently, the US is on track to face a shortfall of 30,000 mental health clinicians by 2024, a situation that's already costing the US health system $300 billion annually due to delayed treatment.\n\nIn a world where time is of the essence, clinicians are spending only 50% of their day with patients, while the rest is consumed by tasks like clinical documentation, dealing with insurance, and other back-office heavy work.\n\n# Our Solution\n\nWe power mental health clinicians with mdhub’s clinical AI assistant, enabling them to focus on patient care.\n\nThe patient-clinician conversation is at the core of mental health treatment, and by capturing it, our clinical AI assistant can automate tasks that prevent clinicians from dedicating more time to patients, such as writing clinical documentation, drafting patient after-visit reports, pre-charting, and treatment planning.\n\nWe are particularly excited about receiving daily appreciation from our users.\n\n“…I absolutely love the software.” Female, Psychotherapist, Montana.\n\n“…You have a dynamite product. I am so happy I came across you guys.” Female, Psychotherapist, Nevada.\n\n“…Instead of an hour of paperwork at the end of the day I’m wrestling with my kids, well worth it!” Male, Psychiatrist, Minnesota.\n\n“…It is truly such a great help - I am currently actually near burnout and going down on FTE for this year because of notes, and your program has given me some hope, actually!” Male, Psychiatrist, Texas.\n\n# The Future We Are Building\n\nWe believe running a more efficient practice is just the first step. In the future we are building, we will empower clinicians to start and grow their practices, bringing us closer to our mission of making mental health accessible and affordable for everyone and everywhere.\n\n# How you can help\n\nIf you own, work for, or know someone at a mental health clinic, we’d love to connect.\n\nIf you work for a behavioral health insurance company or know someone who does, please contact us.\n\nYou can reach us at [founders@mdhub.ai,](mailto:founders@mdhub.ai) or you can book a demo on our [website](https://bit.ly/4f6kvWn).",
        "url": "https://www.ycombinator.com/launches/LO3-mdhub-clinical-ai-assistant-for-mental-health-clinics",
        "votes": 29,
        "created_at": "2024-07-17T17:43:41.140Z"
      }
    ]
  },
  {
    "id": 29643,
    "name": "Sage Care",
    "slug": "sagecare",
    "former_names": [
      "Clara",
      "Sage"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8391ef28b31f763fdf577fc8631f259459023eb8.png",
    "website": "https://sagecare.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Sage is a HIPAA compliant, AI-native communication platform that makes home care agency client-intake handling smarter, faster, and more reliable.\r\n\r\nTeams that use Sage can save over 100 minutes of busywork per prospect, freeing up their teams to manage a larger, faster growing business.",
    "one_liner": "Automating home care agency operations with AI",
    "team_size": 3,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1722734654,
    "tags": [
      "AIOps",
      "Automation",
      "AI"
    ],
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    "top_company": false,
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      "United States of America",
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/sagecare.json",
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      "name": "Tyler Bosmeny",
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      {
        "user_id": 1865044,
        "full_name": "Jon Levinson",
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        "founder_bio": "Supercharging home care operations with AI at Sage Care. Previously product leader at Uber. Tufts 2013.",
        "is_active": true,
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        "user_id": 1545228,
        "full_name": "Ian Gillis",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO @ Clara",
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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![uploaded image](/media/?type=post&id=82720&key=user_uploads/1865044/7f7548dc-0c0c-4f41-b967-1b48178fb055)\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![uploaded image](/media/?type=post&id=82720&key=user_uploads/1865044/36bde3e7-9041-47e2-8b59-ff2416e2aa6e)\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![uploaded image](/media/?type=post&id=82720&key=user_uploads/1865044/6982a009-931e-411e-a09f-757acae0a0d5)\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![uploaded image](/media/?type=post&id=82720&key=user_uploads/1865044/cdcf2927-89be-4749-a1d5-c348067ece95)\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 <https://www.clarahomecare.com/clara-for-caregivers>\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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        "full_name": "Dominik Moehrle",
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        "full_name": "Julius Hillebrand",
        "title": "Founder",
        "founder_bio": "Building AI agents for medical clinics at Dodo. Stanford Engineer, Oxford PPE. Bootstrapped investment tool to $2m+ AUM, automated workflows for a large fintech, and led one of Oxford's biggest university organizations with 1000+ members. Former child actor. ",
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        "full_name": "Tim Reinhart",
        "title": "Founder",
        "founder_bio": "Building AI agents at Dodo. Studied Computer Science at Stanford and Robotics at ETH Zurich. Built autonomous drone systems at one of the worlds leading robotics labs and worked on mobile computer vision applications.",
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        "title": "Senior Backend Developer (NodeJS)",
        "url": "https://www.ycombinator.com/companies/dodo/jobs/MJxQNBV-senior-backend-developer-nodejs",
        "location": "San Francisco, CA, US / Remote (US)",
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        "role": "Engineering",
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        "equity_range": "",
        "experience": "3+ years",
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      {
        "id": 82858,
        "title": "Dodo - AI Employees for Specialized Healthcare Clinics 🦤",
        "tagline": "We staff clinics with specialized AI agents.",
        "body": "Hey YC! We’re Dominik, Tim, and Julius from [Dodo](https://dodo.health).\n\nDominik and Julius grew up together, and we have known each other for 15 years. We were all in grad school together and just moved up from Stanford.\n\n# **TL;DR: Dodo handles front- and back-office tasks for specialty clinic end-to-end**\n\n* Our AI agents answer calls, send medical records, and refill prescriptions—fully autonomously, with no human in the loop\n* We are starting with veterinary clinics, and are expanding to dental and physical therapy\n* Same-day cancellations trigger automatic outbound calls, filling availabilities on short notice\n* This means: No more hold music, phone trees (”press 1 for x”), or voicemail beeps (sorry if you like listening to jingles for minutes on end 🎶)\n\n### **How you can help ❤️**\n\n* Know someone **who owns a specialty clinic, independently or through a larger corporate/PE?** We would be grateful for an introduction!\n* **Reach out **[**founders@dodo.health**](https://mailto:founders@dodo.health)** or book time on our **[**calendar**](https://dodo.cal.com)**.**\n\n### **Problem: Clinics can’t keep up with their admin work**\n\n* **🫥 Understaffed**: Clinics face labor shortages for administrative tasks, with staff feeling burned out due to long hours and inefficient workflows.\n* **🚆 Undertrained**: One in three medical receptionists leaves their job each year\n* **☎️ Phone-based**: Clinics handle up to 80% of their communication over the phone\n* **⏳ Result**: Bottlenecks in the front- and back-office, as clinics miss calls and clients. They also fail to fill in cancellations on short notice, decreasing efficiency. Callers spend 67% of their call time on hold\n\n### **Solution: AI EMPLOYEES for Specialty Clinics**\n\n* Handling all calls through verticalized AI agents trained on specialty knowledge and receptionists’ manuals (we’re talking literal binders 📚)\n* Interactions with internal software to update patient files, manage schedules, and execute necessary administrative tasks\n* Automatic outbound calls to fill missed appointments on short notice\n\n![uploaded image](/media/?type=post&id=82858&key=user_uploads/1340182/8ce8ac71-be6a-4713-abfb-27bfc9af4e49)\n\n### **👨‍👦‍👦 Meet the Team**\n\nIf you’ve been to a specialty clinic recently, chances are you’ve seen us shadowing their front desk 🕵️‍♂️\n\n![uploaded image](/media/?type=post&id=82858&key=user_uploads/1340182/81442943-c2ec-40c1-a117-1f3dc4f84616)\n\n**Julius** [julius@dodo.health](https://mailto:julius@dodo.health)\\\n<https://www.linkedin.com/in/juliushillebrand/>\n\n**Dominik** [dominik@dodo.health](https://mailto:dominik@dodo.health)\\\n<https://www.linkedin.com/in/dominik-moehrle/>\n\n**Tim** [tim@dodo.health](https://mailto:tim@dodo.health)\\\n<https://www.linkedin.com/in/t-reinhart/>",
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        "created_at": "2024-08-08T20:56:59.839Z"
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    "id": 29689,
    "name": "Tivara",
    "slug": "tivara",
    "former_names": [
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    "all_locations": "New York City, NY, USA",
    "long_description": "",
    "one_liner": "The AI workforce for medical groups",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1722295529,
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      "B2B",
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    "batch": "Summer 2024",
    "status": "Inactive",
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    "regions": [
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      "America / Canada"
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        "full_name": "Tej Seelamsetty",
        "title": "Founder/CEO",
        "founder_bio": "Founder and CEO of Tivara.\n\nI started my entrepreneurship journey at 18 years old: As soon as I could sign a personal guarantee, I started flipping houses to (successfully) pay for college. Building software to automate the tedious aspects of my own due diligence opened my eyes to the magic of code. Since then, I led growth (10x-ed revenue) at Fair Square (W20) and worked as a consultant at Bain. I studied computer science and financial engineering at WashU.",
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      {
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        "full_name": "Aumesh Misra",
        "title": "Founder",
        "founder_bio": "Co-founder and CTO of Tivara. I've spent 4 years building software at Microsoft and Compound (YC S19). I was the 8th engineer at Compound and helped grow the company to over $2B AUM. Prior to this, I researched and developed software for novel medical imaging devices at Stanford.",
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      {
        "id": 82570,
        "title": "Tivara 🏥💰 — Automating insurance approval workflows for doctors",
        "tagline": "See patients faster by automating your prior authorization requests.",
        "body": "[Tivara](https://tivara.com/)’s mission is to help doctors deliver care to patients faster. We’re starting by using LLMs to automate submitting prior authorization requests (and getting their approval) on behalf of providers.\n\n![uploaded image](/media/?type=post&id=82570&key=user_uploads/758190/5152c520-617b-4e43-82e4-5cac7c301950)\n\n## What is Prior Authorization, and Why Should I Care?\n\nPrior authorization is a process by which physicians must justify their treatment plan of a patient to that patient’s health insurance carrier as “medically necessary.” \n\nRight now, medical groups employ a team (1 employee focused on prior authorizations per 1-5 physicians) to handle this process with insurance carriers manually. These teams are frequently operating over capacity; some of the practices we’ve talked to are so backlogged that a request isn’t even submitted until up to a week after a doctor’s order is placed.\n\n**Figure 1: 94% of Physicians Report Delayed Patient Care due to Prior Authorization (Source: American Medical Association Survey of 1,000 Doctors)**\n\n![uploaded image](/media/?type=post&id=82570&key=user_uploads/758190/7ccd172e-a4be-4e61-962d-916b4de1491d)\n\nAs you can imagine, insurance carriers are incentivized to delay and/or deny approval as much as they can. Some carriers are so egregious that they’re incurring fines in the tens of millions for morbidly delaying the care of sick patients. A patient who is exhibiting signs of colon cancer definitely shouldn’t have to wait months (or even days) for a colonoscopy.\n\nAt the end of the day, we do two things:\n\n1. Help doctors deliver care faster\n2. Make doctors more money (reduce OpEx)\n\n## Who we are:\n\nGreat friends from college.\n\n[Tej](https://www.linkedin.com/in/tej-seelamsetty/) – Ran growth (10x-ed revenue) at Fair Square (W20) and was an AC at Bain. Paid for college by flipping houses. Studied CS at WashU.\n\n[Aumesh](https://www.linkedin.com/in/aumesh-misra) – Ex-Microsoft and was the 8th engineer at Compound (S19). Built medical imaging software used by Stanford. Also studied CS at WashU.\n\n## Our ask\n\nAre your parents, siblings, or extended family members doctors who run their own practice? You can help us with an introduction! Please shoot [tej@tivara.com](mailto:tej@tivara.com) a note.\n\n![uploaded image](/media/?type=post&id=82570&key=user_uploads/758190/ad4f67d3-ca0b-4049-9600-a4ba595b6036)\n\n",
        "url": "https://www.ycombinator.com/launches/LTm-tivara-automating-insurance-approval-workflows-for-doctors",
        "votes": 139,
        "created_at": "2024-07-30T18:38:31.215Z"
      }
    ]
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    "id": 29694,
    "name": "AminoAnalytica",
    "slug": "aminoanalytica",
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    "website": "https://www.aminoanalytica.com",
    "all_locations": "London, England, United Kingdom",
    "long_description": "We design point-of-care diagnostics for emerging biological threats - in days, not 12+ months.",
    "one_liner": "The AI scientist for always-on biodefense",
    "team_size": 3,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1715962434,
    "tags": [
      "Nanosensors",
      "Synthetic Biology",
      "Biotech",
      "Diagnostics"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "United Kingdom",
      "Europe",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
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        "full_name": "Abhi Rajendran",
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        "full_name": "Adam Wu",
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        "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",
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    "launches": [
      {
        "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![uploaded image](/media/?type=post&id=92017&key=user_uploads/1754946/ad201bdd-6ed8-4b33-bb1f-fd8ca58f5262)\n\n**Dave with Amina:**\n\n![uploaded image](/media/?type=post&id=92017&key=user_uploads/1754946/3657d135-74af-4ed9-b261-394f14fe42a5)\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"
      },
      {
        "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![uploaded image](/media/?type=post&id=82706&key=user_uploads/1754946/96f298df-f236-4401-91d5-2ce61024e644)\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![uploaded image](/media/?type=post&id=82706&key=user_uploads/1754946/afb4dbcf-6cc7-43e1-915e-609278e798fa)\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![uploaded image](/media/?type=post&id=82706&key=user_uploads/1754946/65fb8e1a-d749-4245-adca-a0abc1ad8529)\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![uploaded image](/media/?type=post&id=82706&key=user_uploads/1754946/30bf87a9-4ee8-49e6-a0ee-7f8dd85bf008)\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![uploaded image](/media/?type=post&id=82706&key=user_uploads/1754946/908a3520-d234-4338-ad05-154aa3515672)\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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    "one_liner": "At-cost preventive health: Labs, Scans, Genetics, Supplements and Rx",
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        "full_name": "Kenneth Lou",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO at Mito Health, building the largest digital storefront for health and wellness in the US",
        "is_active": true,
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        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO of Mito Health",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/joelkek",
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        "url": "https://www.thepeakmagazine.com.sg/interviews/mito-health-s24/",
        "date": "May 24, 2024"
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      {
        "title": "Ex-Seedly founders start AI-powered health startup, raises $1.3m | Tatler Asia",
        "url": "https://www.tatlerasia.com/gen-t/innovation/new-healthtech-startup-mito-health-by-former-seedly-founders-raises-13m-pre-seed-funding",
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        "id": 82229,
        "title": "Mito Health - Measure over 100 biomarkers to prevent disease and achieve peak health",
        "tagline": "Go beyond your traditional physical with in-depth health insights",
        "body": "**_Tl;dr:_** Mito Health uses blood work at regular labs to help craft personalized plans using AI with a doctor in the loop. The insights are highly individualized to help you make positive steps to better your health. [_Sign up for our waitlist today._](https://mitohealth.com/)\n\n![uploaded image](/media/?type=post&id=82229&key=user_uploads/1261465/960c2000-3371-47f6-94b6-add6cfe529cd)\n\nHi everyone! We are the co-founders of Mito Health - [Kenneth](https://www.linkedin.com/in/kenneth-lou/), [Joel](https://www.linkedin.com/in/joelkek), [Tee-Ming](https://www.linkedin.com/in/teemingchew/), and [Dr. Ryan Ware](https://www.linkedin.com/in/ryanwarey/), and we are on a mission to improve health outcomes by helping individuals stay away from diseases like cardiovascular problems and metabolic disease to live their best lives.\n\n**🤯 The Problem: Today’s healthcare is focused on sick care, not on keeping you healthy for longer**\n\n* There is also no effective way to measure your current state of health beyond diseased or not-diseased\n* Annual physicals with PCPs lack actionable steps on what to do next, leaving you confused with generic advice\n\n**🎉 The Solution: Personalized insights and clear**, **actionable steps to keep you in your prime and stay away from disease**\n\n![uploaded image](/media/?type=post&id=82229&key=user_uploads/1261465/5c6e9fa0-e2d6-47d7-b938-247dfde5ff93)\n\n* Always updated with the latest proactive preventative medical research\n* Pick up diseases decades before they strike by connecting the dots\n* Personalized action plan with AI x Doctor co-piloted insights & health recommendations\n* Organ system health status to know which are likely to fail first\n* Mito Biological Age helps you understand how your body is aging under the hood based on blood biomarkers\n\n![uploaded image](/media/?type=post&id=82229&key=user_uploads/1261465/bbfde281-4ff2-4da5-9d93-d6ddf84a12c7)\n\n**🩸 User Journey: Get your results in less than one week**\n\nSchedule the blood draw at a Labcorp centre in 47 states across the US.\n\nIn a week, you will get your Mito biological age, detailed results, and a personalized action plan, including supplement, exercise, nutrition, and sleep strategies.\n\n![uploaded image](/media/?type=post&id=82229&key=user_uploads/1261465/3470d623-003c-4be8-910b-e0c531a4a086)\n\n**No more guesswork.** You can opt to repeat testing of problem areas to see if the interventions you’ve tried are actually working.\n\n**❤️ Who are we, and why choose to solve this problem?**\n\n![uploaded image](/media/?type=post&id=82229&key=user_uploads/1261465/d38581e8-57f3-42ce-aa69-40a83dbeabeb)\n\nWe are a team comprising a medical doctor and exited founders with public health experience.\n\nWe have been serving a thousand users in our Singapore clinic and are launching in the US to help more Americans live better for longer.\n\nMost of us, the 4 of us included, have experienced first-hand the loss of loved ones to cancer and other diseases. Not only were they taken away too soon, but they were robbed of their quality of life prematurely too. We want to live longer, sure, but more importantly, we want to help everyone stay in good health for as long as possible.\n\n**🙏 Our Asks**\n\n* Sign up for our [waitlist](https://mitohealth.com/) today\n* We’re looking for health and longevity enthusiasts within the YC community to reach out to test and help shape our product",
        "url": "https://www.ycombinator.com/launches/LOH-mito-health-measure-over-100-biomarkers-to-prevent-disease-and-achieve-peak-health",
        "votes": 105,
        "created_at": "2024-07-17T20:53:51.911Z"
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    "name": "Anthrogen",
    "slug": "anthrogen",
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    "website": "https://anthrogen.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Anthrogen is engineering post-modality biology.\r\n\r\nToday's modalities reflect historical contingencies in biological progress, not fundamental categories. We develop the AI systems that design modular biological machines and the experimental infrastructure to instantiate them.",
    "one_liner": "We work on generalizable tools for the next era of biotech. ",
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        "full_name": "Ankit Singhal",
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        "linkedin_url": "https://www.linkedin.com/in/ankit-singhal-columbia/",
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        "full_name": "Connor Lee",
        "title": "Founder/CTO",
        "founder_bio": "Connor is the CTO of Anthrogen. Before dropping out of Columbia as a sophomore, he was a researcher in Columbia's ROAM Lab and was the youngest ever Columbia Robotics president. He also placed 3rd Internationally for FRC and top 5 internationally for MATE ROV after over a decade of robotics experience.",
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        "title": "Member of Technical Staff (applied)",
        "url": "https://www.ycombinator.com/companies/anthrogen/jobs/xwfuwJL-member-of-technical-staff-applied",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$120K - $220K",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      {
        "id": 92760,
        "title": "Robotics Engineer",
        "url": "https://www.ycombinator.com/companies/anthrogen/jobs/M5BjQOQ-robotics-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$140K - $220K",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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          "Git",
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    "id": 29714,
    "name": "Kopra Bio",
    "slug": "kopra-bio",
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    "website": "https://kopra.bio",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Kopra Bio makes genetically engineered viruses that teach your immune system to kill cancer using tech we developed at UCSF. We’re making the next Keytruda ($25B/yr cancer drug blockbuster) starting with the most aggressive form of brain cancer, glioblastoma. In the most challenging brain cancer model, we improve survival from 0% with the current FDA approved treatment to 90% with our treatment.",
    "one_liner": "Genetically engineered viruses that teach your immune system to kill…",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Therapeutics",
    "launched_at": 1724130421,
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      {
        "id": 83219,
        "title": "🔬🧠🧬 Kopra Bio - Making cancer cures using viral immunotherapy",
        "tagline": "Stealthy viruses that teach your immune system to kill cancer.",
        "body": "**Tl;dr**: We are [Kopra Bio](https://www.linkedin.com/company/kopra-bio), a serial biotech entrepreneur and a UCSF Neurosurgery resident on a mission to revolutionize cancer treatment. Kopra Bio is curing cancer using viral immunotherapy technology we developed at UCSF. We’re making the next Keytruda, a **$25B/yr cancer drug blockbuster**, starting with the most aggressive form of brain cancer, glioblastoma. In preclinical models, we improve survival rates from 0% with standard-of-care treatment to **greater than 90% survival with our treatment.**\n\n**—**\n\nHey - we are Andrew and Alex!\n\n![uploaded image](/media/?type=post&id=83219&key=user_uploads/214420/8312b484-2aee-4ae8-bd7b-bc708051b7d1)\n\n# **Team:**\n\n🤵 [**Andrew Bartynski, PhD**](https://www.linkedin.com/in/andrewbartynski/) - Serial Biotech Entrepreneur and **repeat YC founder**. Developed the **contraceptive pill for men** as COO @ YourChoice Therapeutics (YC W19). Founded a **COVID-19 antiviral** company that went from founding to Phase II/III clinical trial in < 6 months and was acquired in < 1 year as COO @ ANA Therapeutics. Made **next-generation psychedelics** for mental health @ Alexander Shulgin Research Institute. Now curing cancer as CEO @ Kopra Bio.\n\n👨‍⚕️[**Alexander Haddad, MD**](https://www.linkedin.com/in/alexander-haddad-49b484305/) - Scientific Cofounder @ Kopra Bio, Neurosurgery Resident @ UCSF. Alex **published >** **70 peer-reviewed publications as a neurosurgery resident at UCSF**. He is particularly interested in **neuro-oncology** and the delivery of cell and **gene therapies** to the central nervous system. Alex helped spearhead the development of Kopra Bio’s viral technology in the labs of Dr. Manish Aghi and Dr. Noriyuki Kasahara. His clinical skills have also been recognized with the Krevans Award for clinical excellence at San Francisco General Hospital.\n\n👨‍⚕️ [**Manish Aghi, MD, PhD**](https://www.ucsfhealth.org/providers/dr-manish-aghi) - Neurosurgeon and Professor @ UCSF. Renowned expert with over **30 years of experience in Neurosurgery and tumor microenvironment** leading the Brain Tumor Research Center at UCSF with a focus on malignant brain tumors like glioblastoma.\n\n👨‍⚕️ [**Noriyuki Kasahara, MD, PhD**](https://braintumorcenter.ucsf.edu/people/noriyuki-kasahara) - CSO @ 4D Molecular Therapeutics, Professor of Neurological Surgery and Radiation Oncology @ UCSF. Dr. Kasahara has been a **world leader** in the field of **cancer research and gene therapy vector** **development** for over 30 years.\n\n**👩‍🔬** **Sara Collins, PhD** - Gene Therapy Specialist @ UCSF, Director @ 4D Molecular Therapeutics. World expert in the development of **vectors for cancer gene therapy**.\n\n# How do we get to a world without cancer?\n\n# **❌ Today’s approach** - death by a thousand cuts\n\nState-of-the-art cancer therapies target tumor mutations one by one. Despite more than 550 cancer drug approvals since the year 2000, there are still 10 million cancer deaths each year. This approach is expensive (**$1B per therapy**), slow (**10 years of development** per drug), and incremental (only **one mutation addressed** per therapy). Even the most successful cancer drugs of all time have **success rates of less than 10% in solid tumors**.\n\n# **✅ Kopra Bio’s Solution** - first principles approach that targets phenotypes seen across all cancers\n\nUsing **stealthy viruses🦠**, Kopra Bio infects cancer cells, spreads throughout tumors, and hijacks them to produce immune signals. The immune signals recruit T cells which then kill the cancer. This process teaches the patient’s immune system to kill their tumor - _in vivo_ - **curing the cancer and eliminating metastasis and recurrence.**\n\n![uploaded image](/media/?type=post&id=83219&key=user_uploads/214420/71da663f-8b6a-41da-81bf-179a4cddb385)\n\n# **🔬Kopra Bio at a glance**\n\n* **Demonstrated efficacy** in the most challenging brain cancer models increasing survival from 0% without treatment to **greater than 90% survival** with our treatment\n* **Cancer selective** by design - reduced toxicity and adverse events\n* **Platform** approach broadly applicable across cancer\n* Strong **safety** profile\n* Highly stable and **scalable** to manufacture\n\n# **🙏 Asks**\n\n* Share this post on your socials and help spread the word!\n* If you’re as excited as we are about eradicating cancer and would like to learn more about what we’re doing, **email us** at [founders@kopra.bio](mailto:founders@koprabio.com)",
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        "full_name": "Jack Light",
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        "id": 82985,
        "title": "Planbase - Workforce management for modern healthcare",
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        "body": "**TLDR;** COVID accelerated a trend towards hybrid (in-person and virtual) care which makes healthcare delivery increasingly complex. Yet modern clinics still rely on outdated tools to manage their workforce which causes low margins and makes it hard to scale. [Planbase](https://www.joinplanbase.com/) has everything modern clinics need to manage their team: capacity planning, employee scheduling, availability management, credentialing and payroll.\n\n### **🚀 Progress: 800+ clinicians in 6 weeks**\n\nSince launching with our first customer, we've reduced their time spent scheduling by 70% and enabled a 40% increase in patient visits.\n\nPlanbase is now used by 800+ clinicians across all 50 US states and LATAM. \n\n**Here’s what our customers have to say:**\n\n> _Wanted to let ya'll know how kick ass and amazing Planbase is as a tool for us. Complete game changer in the way we are operating and how we are streamlining some of our new operations._\n\n### **❌ Problem: Healthcare staffing has become more complex**\n\nModern providers now operate with a combination of in-person visits and asynchronous chats across multiple states, time zones, payors, specialties and employment types (contract & permanent), with many employees now working remotely. This, combined with rising labor costs, makes it difficult for healthcare practices to scale profitably.\n\n### **✅ Planbase: All-in-one workforce management for healthcare**\n\n* **Simple scheduling that matches patient volume:** Predict patient volumes across states, service lines and visit types. Determine the precise number of providers, align this with their availability, and dynamically adjust schedules.\n\n  ![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXe09aYb3xn6W3SyBTDjLf7chfEx9vU1moQy_RDXJkZB_9ilSV9hIqwyvcbWywn03caI2E59AEkITpDX-lCkP8a665bT0r9bHqmFxsw4cJSKAVJ1X7HJ-s9CugIYIaqX1Y-iSU6oF6L1QUsHVdgcXTeqD5qj?key=dge8TxQPcbW_Jrv-0SCJUw)\n\n* **Easily manage remote teams:** Allow providers to claim shifts, request leave, track their time, and submit availability with our self-serve Slack App.\n\n  ![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXf1gC7_cmfY00XXpOnkWwk-DMx3rKDlhjp32DDZPhfA5tJiwuvWTPZbf-LfoeIBjXV60w45Y83xJkLp3hylP8_x6BN9QkelRatCdjkCeC7ZBZOoDybSAZXPGzQKhrXnBYcUq1uKAHcb5y5gKL9vYBnAeGJS?key=dge8TxQPcbW_Jrv-0SCJUw)\n\n* **Credentialing in one place:** Track and manage credentialing across states, EMRs, and payors.\n\n  ![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXejx6n2-eG9snKxrSkCuzeO_c987eM7xvVjF-Mqtc8X3dNK_0AWh6zIHFdNxI_Q2oNBMMOsaDcKmny8eSffEGMYVFGn9a9eGPJ1uovkxuLOTqdACBMSBud8QEjnFsdnr7FfLL4UxqjJ3cVic5lEKxB9gIx4?key=dge8TxQPcbW_Jrv-0SCJUw)\n\n* **Payroll built for healthcare**: Simplify payroll with automated calculations for industry specific pay rules like on-call, per diem and per-consult pay.\n\n  ![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXehY4pfDyq85pyF2Bl0qIze4kpxmUUzKnrY2zD3OlhSPDG0845efDEwz9_6voXgtdOKlQGGVFPeRVWrPfBIXQJxnUDEu7Q28AxJqo5kVqZ_VRGzsjZl24eogfNKMT5oMGlzIiLiuh5P9XwRvP34xHXgABM?key=dge8TxQPcbW_Jrv-0SCJUw)\n\n\n### **The Team**\n\n![uploaded image](/media/?type=post&id=82985&key=user_uploads/841268/14a4a970-cea3-4dbf-9fb6-84b69f2c04a9)\n\n[Jack](https://www.linkedin.com/in/jd-light/) – Econ PhD from UChicago studying workforce optimization. Research commercialized for companies like Domino’s and Getir. Oxford, ex-Rothschild.\n\n[Joe](https://www.linkedin.com/in/joes20/) – Previously led product at a workforce management platform. Repeat founder, ex-McLaren Engineer.\n\n### **Our ask**\n\nWe’d love to connect with any healthcare companies that offer telehealth. Especially, if you have any connections to Wheel, SteadyMD, Ro, Hims, Carbon Health, Kry, Charlie Health, or Talkspace!\n\nReach us at [founders@joinplanbase.com](mailto:founders@joinplanbase.com)",
        "url": "https://www.ycombinator.com/launches/LaT-planbase-workforce-management-for-modern-healthcare",
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    "name": "Biocartesian",
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    "website": "https://www.biocartesian.com",
    "all_locations": "Philadelphia, PA, USA",
    "long_description": "Finding new cures requires seeing what and where the abnormal molecules are in a diseased tissue, but current tools see less than 1% of those molecules. Biocartesian combines microscopy and new chemistries to see 50X more, offering unprecedented insights into disease biology and new therapies.",
    "one_liner": "Converting biology into digital molecular maps",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Drug Discovery and Delivery",
    "launched_at": 1724915415,
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        "full_name": "Ian Dardani",
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        "founder_bio": "Co-founder of Biocartesian. Microscopy + molecular tools + engineering. Previously Bioscience Enterprise at Cambridge, Bioengineering PhD at UPenn.",
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        "user_id": 1975436,
        "full_name": "Jess Li",
        "title": "Founder",
        "founder_bio": "Co-founder of Biocartesian. Genetics + epigenetics, next-gen sequencing. Previously PhD at UPenn, BD at imvaria.",
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        "id": 83575,
        "title": "Biocartesian - Converting biology into digital molecular maps",
        "tagline": "We use chemistry and microscopy to help scientists discover new drugs.",
        "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![uploaded image](/media/?type=post&id=83575&key=user_uploads/89898/ee18ecba-242d-4cb0-bb1b-d9ab6de69ddd)\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![uploaded image](/media/?type=post&id=83575&key=user_uploads/1116949/7deca4d9-cf29-45b4-852d-1fc471672b75)\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 <https://www.biocartesian.com>",
        "url": "https://www.ycombinator.com/launches/Ljz-biocartesian-converting-biology-into-digital-molecular-maps",
        "votes": 265,
        "created_at": "2024-08-29T15:17:26.070Z"
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    "id": 29794,
    "name": "Baseline AI",
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    "long_description": "The 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. We use AI to automate the process of creating everything from the protocol, saving not only spend on headcount but also months of time which can translate to up to $27M in direct costs + lost revenue saved for a single phase 3 trial. ",
    "one_liner": "AI document creation and data management for clinical trials",
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    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1724199477,
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    "url": "https://www.ycombinator.com/companies/baseline-ai",
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        "user_id": 231856,
        "full_name": "Zoe Sheill",
        "title": "Founder",
        "founder_bio": "Co-founder of Baseline AI. Previously MIT, SpaceX. Ask me about the Banana Lounge at MIT",
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        "linkedin_url": "https://linkedin.com/in/zoesheill",
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        "user_id": 718972,
        "full_name": "Nabil Baugher",
        "title": "Founder",
        "founder_bio": "Baseline AI Co-founder. Previously ML at YouTube and software at Slack/Audible. CS + Neuro at MIT.",
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        "linkedin_url": "https://linkedin.com/in/nabil-baugher-93822a18a",
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        "id": 83484,
        "title": "Baseline AI: AI Document Creation + Data Management for Clinical Trials",
        "tagline": "Getting treatments out of the lab and into the hands of patients that need them",
        "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![uploaded image](/media/?type=post&id=83484&key=user_uploads/718972/f7dbfa5f-f8d8-436f-9ee5-29139b3f9de7)\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).",
        "url": "https://www.ycombinator.com/launches/LiW-baseline-ai-ai-document-creation-data-management-for-clinical-trials",
        "votes": 98,
        "created_at": "2024-08-27T21:22:07.159Z"
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    "long_description": "Autonomous intake and RCM for specialty clinics. \r\n\r\nWe're helping specialty clinics catapult in to the modern day by automating their patient intake (emails, calls, and faxes) and interactions with payors (insurance companies). We're helping them see patients quicker, keep referrers in the loop, and get paid on time. ",
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        "full_name": "Rabii Malik",
        "title": "Founder/CEO",
        "founder_bio": "Former McKinsey consultant and international expansion lead at Telda - now automating intake and RCM workflows for specialty clinics.",
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      {
        "id": 97292,
        "title": "Entropy: The Operating System for Specialty Healthcare",
        "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<https://www.youtube.com/watch?v=7UdXR-bhzHg>\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![uploaded image](/media/?type=post&id=97292&key=user_uploads/376535/772d5e5f-e300-4b80-b082-62e56ed0fe63)\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![uploaded image](/media/?type=post&id=97292&key=user_uploads/376535/1485e2f1-89d4-492b-841e-8ede57427eee)\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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        "votes": 9,
        "created_at": "2026-01-29T19:42:14.855Z"
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      {
        "id": 83389,
        "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![uploaded image](/media/?type=post&id=83389&key=user_uploads/376535/3dfad798-e98a-4ca6-b40d-2e89382838da)\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![uploaded image](/media/?type=post&id=83389&key=user_uploads/376535/a231d8b0-8602-4a9e-901f-6d98b1e594f8)\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).",
        "url": "https://www.ycombinator.com/launches/Lgz-remo-ai-copilot-for-onboarding-and-compliance-teams",
        "votes": 98,
        "created_at": "2024-08-26T14:10:51.955Z"
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    "name": "Pharos",
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    "long_description": "Pharos automates hospital quality reporting, saving millions in labour costs and helping to prevent avoidable patient harm. \r\n\r\nToday, clinicians spend thousands of hours manually pulling complex facts out of medical records for mandatory reporting and quality improvement.\r\n\r\nOur AI pulls those facts out of unstructured medical records automatically. We automate reporting and show staff where avoidable patient harm is happening.",
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        "answer": "Felix and Matthew worked together for nearly 5 years at [Vital.io](http://Vital.io), a company deploying AI models into hospitals. While piloting clinical adoption of a predictive sepsis model, they realized that enabling quality staff with AI represents a huge opportunity to improve patient outcomes."
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        "answer": "We believe in a future where AI catches medical mistakes everywhere in the hospital, before they become serious. We want to be the lighthouse for our hospitals, supporting clinicians and reducing patient harm."
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        "full_name": "Felix Brann",
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        "founder_bio": "CEO at Pharos. Previously VP Data Science at vital.io and VP Quantitative Research at JP. Morgan. \n\nObsessed with sepsis: https://ai.jmir.org/2024/1/e49784 ",
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        "user_id": 1071901,
        "full_name": "Matthew Jones",
        "title": "Founder/CTO",
        "founder_bio": "Founder and CTO at Pharos, preventing avoidable harm in hospitals using AI. Previously part of the founding team of Market2x, a rural trucking marketplace and optimisation platform in New Zealand.",
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        "id": 83321,
        "title": "🏥 Pharos - Automate reporting and prevent patient harm with AI",
        "tagline": "We automate medical quality reporting, and show hospital teams where and why patient harm is happening.",
        "body": "**tl;dr:** _The data hospital teams need to improve patient safety is buried in unstructured medical records. Today, clinicians spend thousands of hours manually ‘abstracting’ it for reporting and analysis. We automate the entire process and use the data to show them where and why avoidable harm is happening._\n\nHi folks! We’re Felix and Matthew, and we’re building [Pharos](https://pharos.health/).\n\n![uploaded image](/media/?type=post&id=83321&key=user_uploads/1071896/62d84f34-3817-4a5b-a0cd-dd33696a375f)\n\n## The problem:\n\nAvoidable harm happens in hospitals **all the time**. Wards are busy, clinician turnover is high, and an aging population means increasingly complex patients. Sepsis alone kills 350,000 patients a year in the US, and a significant number of those deaths are preventable.\n\nHospitals have teams dedicated to preventing harm. They track avoidable events, identify the process failures that cause them, and report performance data to clinical registries. This means identifying harm events, risk factors and process adherence from patient journeys composed of pages of unstructured clinical notes.\n\nToday, this is an entirely manual process. Producing structured quality metrics from a single complex patient case can take up to **8 hours of clinical time**. A single hospital can spend **$5m per year** extracting this data, and it still arrives weeks after discharge, on a small sample of their patients.\n\n## The solution:\n\nOur AI extracts the data quality teams need from **every patient record in real-time**. It produces verifiable quality metrics, with references into the original medical record.\n\n![uploaded image](/media/?type=post&id=83321&key=user_uploads/1071896/846b2e48-6ec0-4dd0-bbce-aaccf821b343)\n\nWe use this data to:\n\n* **Automate reporting** for clinical registries and value-based reimbursement contracts, saving thousands of clinical hours.\n* **Identify and surface process failures** that are contributing to patient harm, letting teams take action on issues like sepsis, hospital-acquired infections, and pressure ulcers.\n* **Measure the impact of quality improvement projects** in real-time rather than months after implementation.\n\n## Why us?\n\n[Felix](https://linkedin.com/in/felix-brann) and [Matthew](https://www.linkedin.com/in/matthewrj) spent the past 5 years deploying patient and clinician-facing AI into over 70 hospitals together.\n\nAs VP of Data Science, Felix published papers in major medical journals on sepsis prediction and medical record summarization using LLMs. Matthew has years of experience integrating software into EHRs and previously built another startup from inception to international expansion.\n\nAlex joined the team after working as a doctor in the UK and then as a medical AI researcher at Imperial College London and Meta’s Reality Labs. He experienced this problem firsthand, spending years of his residency frustrated at the manual abstraction required for quality improvement.\n\nWe believe enabling quality teams with AI represents a huge opportunity to save lives and prevent harm.\n\n## Our ask:\n\nPlease reach out to [felix@pharos.health](mailto:felix@pharos.health) if you know the following people!\n\n* Anyone working at a senior level at a US hospital (we’ll ask them for an intro to their quality team)\n* Anyone working in healthcare with a title that includes “Quality”, “Patient Safety,” or “(Sepsis, Stroke, …) Coordinator”\n* Academics and clinicians working at the intersection of data and clinical quality",
        "url": "https://www.ycombinator.com/launches/Lft-pharos-automate-reporting-and-prevent-patient-harm-with-ai",
        "votes": 73,
        "created_at": "2024-08-22T20:11:27.515Z"
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    "name": "Vera Health",
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    "long_description": "We empower healthcare providers, starting with emergency physicians, with instant access to up-to-date evidence-based answers. Our platform cuts through the noise to deliver trustworthy medical information 10x faster, revolutionizing clinical decision-support.",
    "one_liner": "AI-powered clinical decision support for healthcare providers",
    "team_size": 6,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare Services",
    "launched_at": 1723103974,
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    "linkedin_url": "https://www.linkedin.com/company/vera-health-ai/",
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        "full_name": "Taieb Bennani",
        "title": "Founder",
        "founder_bio": "Background in Biomedical Engineering from Yale and Data Science from MIT. Beyond obvious passion for AI and healthcare, I’m an avid reader (I highly recommend The Unbearable Lightness of Being by Kundera!), and tennis & football enthusiast.",
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        "role_type": "Product design",
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        "title": "Vera Health - Accelerating evidence-based healthcare",
        "tagline": "We give doctors and researchers a 10x faster way to access evidence-based answers.",
        "body": "**TLDR**: We're empowering doctors and researchers with instant access to up-to-date evidence-based answers. Our platform cuts through the noise to deliver trustworthy medical information 10x faster, revolutionizing clinical decision support and accelerating research breakthroughs. If you're interested, [we'd love to connect](https://cal.com/vera/30min). You can also sign up for our waitlist [here](https://app.vera-health.ai).\n\n## The Problem\n\n* Medical knowledge doubles every 73 days, creating massive information overload for healthcare professionals. This exponential growth impacts doctors' ability to provide the most current, evidence-based care.\n* Despite AI's potential to address this challenge, healthcare lags in adoption due to a lack of trust in existing solutions and challenges in data collection.\n\n## Our Solution\n\nWe tackle the core issue: **access to current, trustworthy medical evidence**. \n\nOur system:\n\n* Maintains a vast, weekly-updated repository of over 250 million documents from authoritative sources.\n* Employs a network of specialized AI models to retrieve and synthesize the most accurate data.\n* Implements rigorous safeguards to ensure the highest level of reliability.\n\n![uploaded image](/media/?type=post&id=82847&key=user_uploads/878435/33f5325d-394a-489a-89a4-492e2891a6d7)\n\n## The Team\n\nWe're [Taieb](https://www.linkedin.com/in/taiebbennani/) and [Maxime](https://www.linkedin.com/in/maxime-allouch/), recent Yale & MIT alumni passionate about transforming healthcare through technology. Our combined expertise spans healthtech, bioengineering, and data science, providing us with a unique perspective on both the technical and medical aspects of our solution. This has allowed us to build the most robust and trustworthy solution in the market.\n\n![uploaded image](/media/?type=post&id=82847&key=user_uploads/878435/f94f6f31-b0ec-4649-9ebf-5d385995454d)\n\n_Fun fact: We did our YC interview during the MIT Commencement ceremony, wearing our graduation regalia. (Pro tip: Don't postpone the YC interview, even for graduation!)_\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXc23h-Sjo92vSR-YSx7QSw97PNFeKqEATnreW_dxx6VKn51ABSfdwPGaqZqTVm4sopxOfiK09VDm-J2YFyOcQaacsyfgJqYyarIRxa8DmV7GIc21svQCeLw7ozt2WZNPcpGjYR_tz0S2m9SFphflxmJRvA?key=hQtFVOs06Ve9184xCIXvJA)\n\n## Next Steps\n\nWe've rolled out a closed beta to specialty physicians and biotech researchers, and the feedback has been exceptional. Users are consistently amazed by the accuracy of sources retrieved and the reliability of the insights provided.\n\nWe're now expanding our beta program and seeking partnerships with leading healthcare and research institutions. If you're a healthcare professional interested in streamlining your access to medical knowledge, [we'd love to connect](https://cal.com/vera/30min). You can also sign up for our waitlist [here](https://app.vera-health.ai).",
        "url": "https://www.ycombinator.com/launches/LYF-vera-health-accelerating-evidence-based-healthcare",
        "votes": 30,
        "created_at": "2024-08-08T14:02:08.059Z"
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    "id": 29959,
    "name": "Uncommon Therapeutics",
    "slug": "uncommon-therapeutics",
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    "website": "https://uncommontherapeutics.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Our founder Noah, an experienced tech entrepreneur, was directly impacted by a severe genetic disease when his daughter was diagnosed with Rett Syndrome, a disease that afflicts 1 in 10,000 girls. Using an innovative polytherapy strategy, we’ve successfully improved her quality of life, and have designed new therapeutics that each could be worth billions and together could deliver a cure.",
    "one_liner": "A Disease Focused Biotech, Building Multiple Billion Dollar Drugs",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Therapeutics",
    "launched_at": 1740166772,
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        "user_id": 1883658,
        "full_name": "Noah Auerhahn",
        "title": "Founder/CEO",
        "founder_bio": "Serial Entrepreneur Building Therapies and New Biz Models for Rare Disease",
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        "user_id": 1967780,
        "full_name": "Ryan Lim",
        "title": "Founder",
        "founder_bio": "Biotech entrepreneur and biomedical scientist specializing in modeling neurological disorders using stem cells, in vivo models, and computational biology to drive breakthroughs in neurological diseases",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ryanlimphd",
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    "launches": [
      {
        "id": 87905,
        "title": "💊🧠🧬 Uncommon Therapeutics - A Disease Focused Biotech",
        "tagline": "Developing multiple high‐value ($b) therapeutics per disease, combining new tools and deep expertise to deliver cures",
        "body": "### **TL;DR**\n\nNoah, an experienced tech entrepreneur, was directly impacted by a severe genetic disease when his daughter was diagnosed with Rett Syndrome, a disease that afflicts 1 in 10,000 girls. Using an innovative polytherapy strategy, we’ve successfully improved her quality of life, and have designed **new therapeutics that each could be worth billions and together could deliver a cure.**\n\nOur _uncommon_ approach to biotech includes deep respect for the complexities of biology and disease, but belief that **many of the orthodoxies of biotech can be challenged by ideas from tech**.\n\n### **Why Now?**\n\n**AI is unlocking every field and biotech is no different.** However in bio the value will not go to the platform builders, but the users of the tools and the drug assets they create. Today it is easier and cheaper than ever to build better drugs. \n\nMeanwhile, biotech is no longer a closed system. So many of the core modality IP (mAbs, ASOs, mRNA, Car-T, CRISPR, etc) have expired or will expire by the time a drug comes to market. There are mature CROs for every stage of drug development from screening to running studies. And there are experts available to consult who have built at the platform companies that spent billions refining these tools.\n\nAt Uncommon we believe now is the best time ever to build a disease focused biotech. **So while Biotech may not get the first 1 person billion dollar company, in this AI-driven open source system, it may deliver the first 2 person one.**\n\n### **Why Us?**\n\n_“Start companies to solve personal problems” —_ Michael Seibel\n\nImagine while you are building your high flying tech company, your 18 month old daughter starts to lose the ability to walk, speak, use her hands, and will soon develop a cascade of maladies (seizures, breath holding and hyper ventilation, scoliosis and on) – this is Rett Syndrome. Over the months that followed **Noah dedicated himself to this problem, reading over 300 papers in the first 9 months alone, speaking with every expert until he became one**. We identified multiple repurposed drugs, not commonly used for Rett, that while not curative could immediately push back against the skill loss and successfully give her a higher quality of life. Today, **Ellie is 5 and in the top 1% of people with Rett**. While still limited, she is happy, walking around, not in pain, without seizures, and is learning to read and communicate with her eye gaze device.\n\n**Expertise unlocks traction**: With just $1M, we utilized the best tech and modality expertise to design three novel therapeutics that target the underlying cause of the disease, **all of which are now working in patient cells**.\n\n### **Results in Patient Cells**\n\n![uploaded image](/media/?type=post&id=87905&key=user_uploads/1883658/f4e6dd78-3631-4692-98d9-49b57c43479a)\n\n### **Team**\n\n**Noah Auerhahn** (Co-Founder & CEO) - Noah bootstrapped his first company and sold it to Rakuten for $15M and raised over $75M for his second company. In 2021 his daughter was diagnosed with Rett Syndrome. He dedicated himself to becoming an expert on the disease and then identifying disease modifying-therapies, personally investing over $1M into those efforts. He is deeply involved across every aspect of Uncommon’s drug development efforts.\n\n**Ryan Lim, PhD** (Co-Founder & CSO) - Ryan is a biotech entrepreneur and biomedical scientist with over 10 years of experience in neurological diseases. At Uncommon he’s pioneering gene-editing, ASO, and small-molecule therapies for Rett Syndrome. He led AI-driven drug discovery efforts, taking a therapeutic candidate from initial discovery through IND-enabling studies on its way to ALS patients at Modulo Bio, and at UCI identified a repurposed compound that is currently in Phase II trials for Huntington’s disease.\n\n![uploaded image](/media/?type=post&id=87905&key=user_uploads/1883658/05663633-8048-49a0-b826-f0320e58af04)\n\n### **Asks**\n\n* Please share this post on your socials and help spread the word.\n* Intro’s to biotech execs who are forward thinking on rare disease and could be good future or present partners in our efforts!",
        "url": "https://www.ycombinator.com/launches/Mrp-uncommon-therapeutics-a-disease-focused-biotech",
        "votes": 23,
        "created_at": "2025-02-21T20:01:59.726Z"
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    "id": 29978,
    "name": "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,
    "tags": [
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      "Education",
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    "batch": "Summer 2024",
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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",
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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.",
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        "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.",
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        "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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      {
        "id": 85622,
        "title": "SimCare AI – Scaling Healthcare Training and Evaluation with AI Patients & Simulations",
        "tagline": "Conversations with AI patients to scale clinical training.",
        "body": "Hi everyone, we’re [Vrishank](https://www.linkedin.com/in/vrishanksaini/) and [Tigran](https://www.ycombinator.com/companies/soma-lab)[,](https://bookface.ycombinator.com/user/2094245) the team behind [SimCare AI](https://somalab.ai)**.**\n\n**tl;dr:** SimCare AI (prev. “Soma Lab”) creates AI-simulated conversations to scale healthcare training. Students and providers practice with our AI patients to build skills and get evaluated.\n\n**The Problem: Healthcare Training and Evaluation Isn’t Scalable**\n\nHealthcare still relies on slow, expensive methods like role-playing, in-person evaluations, and one-on-one interviews. These outdated approaches not only create bottlenecks in education and hiring but also cost institutions hundreds of thousands of dollars annually in faculty time, actor fees, and administrative overhead. Scaling these processes is critical, but traditional methods make it nearly impossible.\n\nWhile governments and accrediting bodies are pushing to expand healthcare workforces by increasing the number of schools and seats, the real bottleneck lies in non-didactic training. Schools have figured out how to scale lectures and coursework online, but they can’t scale the hands-on, interactive training required to meet competency-based accreditation standards like CACREP.\n\nAdding to the challenge, **it is illegal to practice counseling without direct clinical supervision** in the classroom or the proper licenses. Students can’t even practice these conversations with friends or family legally, which leaves schools dependent on expensive, resource-intensive methods like faculty supervised role-playing.\n\n# **The Solution: AI-Simulated Conversations at Scale**\n\nSimCare AI uses AI to create realistic, interactive conversations with patients that allow students and professionals to practice and be evaluated anytime, anywhere. Our simulations replace costly methods with scalable alternatives, saving institutions significant time and money. Our system provides a legal, scalable solution for hands-on training, enabling schools to bypass these restrictions, meet accreditation requirements, and expand rapidly without sacrificing quality.\n\nTherapy programs use SimCare AI to train students with AI patients, reducing reliance on actors. Companies use AI patients to assess job applicants and onboard new hires efficiently. Medical and social work programs prepare learners for real-world challenges without the need for resource-heavy manual evaluations.\n\nIn just **3 weeks**, we were able to close **30 pilots** with institutions like the University of Pennsylvania, Virginia Tech, University of Sydney, John Carroll University, and Western Carolina University.\n\n![uploaded image](/media/?type=post&id=85622&key=user_uploads/1053982/effe8dfb-c4cb-4b32-b0d5-03dee23e2036)\n\n### For example:\n\n* **Therapy and counseling schools** use SimCare AI to replace role-playing exercises with our AI patients that simulate realistic therapy sessions. Students can practice conversations anytime and get evaluated instantly, helping programs scale without relying on limited and expensive faculty or actors.\n* **Teletherapy companies** use SimCare AI to screen job applicants by testing their skills with AI patients, ensuring quality candidates are hired faster and cost-effectively. They also use SimCare AI for internal training to ensure company standards.\n* **Social work programs** use SimCare AI to train students with AI families and patients, evaluate them on critical interactions, and provide targeted remediation when needed.\n* **Medical schools** use SimCare AI to teach students how to handle patient interactions before they see real patients.\n\n# **The Team**\n\nWe met at the University of Chicago after joining the same fraternity. Vrishank failed a clinical communications test and couldn’t afford the $9,000 tutor fee. So instead, we built an AI clinical communications coach. Vrishank's score shot up, so we said screw it and launched the tool. In 3 weeks, we hit $5k MRR and 2.5k users. Seeing the impact this would have if applied to all of healthcare, we decided to build the AI infrastructure for healthcare training and evaluation.\n\nWhile in high school, Vrishank created a healthcare education app, which scaled to 120,000+ downloads in 6 months. Tigran was the lead machine learning researcher in a bioinformatics lab at the Luddy School of Informatics.\n\n![uploaded image](/media/?type=post&id=85622&key=user_uploads/1053982/5aa3f430-08fd-4595-bf57-4c917a6d8252)\n\n# **How You Can Help**\n\nShare this with anyone in healthcare or education who trains, hires, or evaluates students and professionals.\n\n![uploaded image](/media/?type=post&id=85622&key=user_uploads/1053982/43d2a87d-4ea5-4ecd-ad02-0f199ed84104)\n\n",
        "url": "https://www.ycombinator.com/launches/MH0-simcare-ai-scaling-healthcare-training-and-evaluation-with-ai-patients-simulations",
        "votes": 41,
        "created_at": "2024-11-16T23:39:10.900Z"
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      {
        "id": 83640,
        "title": "Soma Lab – Scaling clinical training with AI",
        "tagline": "Helping medical schools and hospitals train students and doctors. They practice on our AI simulations before seeing real patients.",
        "body": "Hi everyone, we’re Vrishank and Tigran[,](https://bookface.ycombinator.com/user/2094245) the team behind [**Soma Lab**](https://somalab.ai/)**.**\n\n**tl;dr:** Soma Lab helps medical schools and hospitals train students and doctors. They practice on our AI simulations before seeing real patients.\n\n**The problem: Medical education can't scale with outdated methods to meet the growing doctor demand.**\n\nThere’s a serious doctor shortage, and governments are responding by mandating increases in medical school seats.  Schools are still relying on outdated, unscalable approaches like using actors to simulate patients one by one. Medical schools need solutions that can expand with this demand without losing quality—to fix this, we’re helping medical schools and hospitals scale clinical training with AI.\n\n**The Solution: Scalable clinical training with AI**\n\nSoma Lab scales clinical training with AI simulations that let students practice patient interactions, moving beyond the outdated methods. Our platform provides realistic, on-demand practice that adapts to the needs of medical schools, allowing them to train more students effectively without sacrificing quality. We’re solving the bottleneck in clinical education, making it scalable, flexible, and fit for the future.\n\n![uploaded image](/media/?type=post&id=83640&key=user_uploads/1053982/ec01950e-358e-4305-b880-8a8f9d009f6d)\n\n**The Team**\n\nWe met at the University of Chicago after joining the same fraternity. Vrishank failed a clinical communications test and couldn’t afford the $9,000 tutor fee. So instead, we built an AI clinical communications coach. Vrishank's score went up to the top quartile, so we said screw it and launched the tool. In 3 weeks, we hit $5k MRR and 2.5k users. Seeing the impact this would have if applied to all of healthcare, we decided to build the AI infrastructure for medical education.\n\nWhile in high school, Vrishank created a healthcare education app, which scaled to 120,000+ downloads in 6 months. Tigran was the lead machine learning researcher in a bioinformatics lab at the Luddy School of Informatics.\n\n![uploaded image](/media/?type=post&id=83640&key=user_uploads/89898/bbe53983-3588-4b34-8ba2-61949f353b1a)\n\n**How You Can Help**\n\nWe're out to change medical training for the better, and we could use your help! Pass this along to folks in healthcare—whether they're doctors, medical/nursing students, hospital admins, or anyone in the medical education field.",
        "url": "https://www.ycombinator.com/launches/Ll2-soma-lab-scaling-clinical-training-with-ai",
        "votes": 144,
        "created_at": "2024-08-31T15:14:00.615Z"
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    "id": 29986,
    "name": "Exin Therapeutics",
    "slug": "exin-therapeutics",
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    "website": "https://www.exintherapeutics.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We use AI and high-throughput mouse studies to discover therapeutics that modify neural activity in the brain. The initial focus is on epilepsies associated with autism and Parkinson’s disease with the potential to expand to any neurological disorder underlined by a dysfunction in neural activity. Our R&D is guided by AI models trained on high-density multimodal mouse data generated in-house.\r\n\r\nWe are 3 Oxford-trained neuroscientists supported by an experienced SAB from Harvard, Science Corp (ex-Neuralink), EPFL, Meta, and UCL.\r\n\r\nIn 1.5 months since landing in SF, we went from nothing to (1) opening and operating an animal lab in South SF, (2) obtaining a proof-of-concept in mice, (3) building a multimodal AI model that directs our screening approach and (4) submitting two provisional patents; all while utilizing less than 50% of our YC funding. \r\n",
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    "team_size": 9,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Therapeutics",
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    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/exin-therapeutics",
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      "url": "https://www.ycombinator.com/people/jared-friedman"
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        "user_id": 1960104,
        "full_name": "Gabriel Ocana Santero",
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        "body": "[Exin Therapeutics](https://www.exintherapeutics.com/) uses AI and high-throughput mouse studies to develop therapies for people suffering from neurological and neuropsychiatric disorders. We are tackling conditions like epilepsy, debilitating symptoms of autism spectrum disorder (ASD), and Parkinson’s disease by focusing on the neural circuitry of the brain.\n\n# **Why is this important?**\n\nMillions of people around the world suffer from neurological disorders. These disorders arise from imbalances in brain activity. Think of it like an orchestra where some instruments are playing too loud while others are too quiet. This “bad music” / neural imbalance—what we call excitatory/inhibitory (E/I) imbalance—is the root cause of many symptoms in these disorders. For example, in epilepsy, overactive circuits lead to seizures, while in ASD, it can cause sensory hypersensitivities - where individuals feel overwhelmed by normal sounds, lights, or touch that most people wouldn't even notice. These dysregulations in neural circuits impact how the brain processes information and responds to the world, leading to the debilitating symptoms we see in these disorders.\n\n# **Our solution**\n\nWe’re taking a circuit-level approach to treating brain disorders. Instead of trying to restore missing genes, we’re supplementing already existing genes that we know will be directly changing the neural activity in the brain - in the direction that we want and independently of the genetic background.\n\n![uploaded image](/media/?type=post&id=86986&key=user_uploads/89898/4181e602-6279-4611-9af3-73b0ccfca768)\n\nWe are also working on a multimodal AI model to streamline our preclinical R&D. Why? Well, because developing drugs for the brain is really tough. Every candidate needs to be tested for its ability to modulate circuits, and doing that through a traditional drug development preclinical pathway is a slow process.\\\n\\\nBecause of that, we use ML to analyze high-density multimodal data sets and prioritize which drugs are worth testing further. We use neural activity, behavior, and transcriptomics to train multimodal AI models that identify the drivers of the disease not observable by conventional analytical methods.\n\n![uploaded image](/media/?type=post&id=86986&key=user_uploads/89898/b1ad1c24-a513-4633-83f6-58378d1cb5d8)\n\nThen, we use these models to (1) predict the potential of our therapies to treat particular indications and (2) provide an efficacy readout during our internal experimental testing. This way, we spend our time (and funding) testing the most promising candidates.\n\n# **Our ask**\n\n1. Intros: If you have contacts in pharma, working on complementary tech, or have ideas for partnerships, we’d love to connect.\n2. We'd love to hear from people who have worked in therapeutics and people with IND-enabling programs or clinical trial design experience.\n\n# **Team**\n\nWe are a team of 3 Oxford-educated neuroscientists. [Gabriel](https://www.linkedin.com/in/gabriel-ocana-santero-85b41819a/?originalSubdomain=uk) is a biochemist with a wealth of research experience in neural development, gene therapy, and NeuroAI. He holds a PhD in Pharmacology from Oxford. [Ivan](https://www.linkedin.com/in/ilazarte/) is a physicist by training and has worked in molecular biology, circuit, and systems neuroscience. Ivan’s brother suffers from ASD and Ivan is on a mission to improve the quality of life for patients suffering from debilitating neurological conditions. He holds a PhD in neuroscience from Oxford. [Marko](https://www.linkedin.com/in/marko-tvrdic/?originalSubdomain=uk) has experience with iPSC models, retinal disorders, and circadian and developmental neuroscience. During his PhD, he worked in systems and behavioral neuroscience and holds an MSc from Oxford.\n\n![uploaded image](/media/?type=post&id=86986&key=user_uploads/1960211/5487d1f0-6cbc-4728-af74-a8377516e2d3)\n\nWe are supported by a team of advisors from top industry and academic institutions - including Harvard & UCL.",
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        "created_at": "2025-01-20T22:29:09.667Z"
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        "full_name": "Daniel Bessonov",
        "title": "Founder",
        "founder_bio": "Danny graduated from Penn M&T with a master’s degree in computer science. Danny most recently lead product intelligence at Wispr.ai, and was previously at Ramp, Anduril, and Lumos. Daniel has architected core payment features for Ramp’s $xmm Bill Pay product, built encryption features for Anduril UAVs, & was a Top 25 App Store developer at 14 years old.",
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        "full_name": "Justin Zhou",
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        "title": "Founding Product Engineer",
        "url": "https://www.ycombinator.com/companies/avora/jobs/nrAyNAi-founding-product-engineer",
        "location": "San Francisco, CA, US",
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        "title": "Founding Customer Experience Lead",
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        "id": 85710,
        "title": "ShowAndTell: AI agents for dental patient operations",
        "tagline": "Agents for the dental operating model",
        "body": "Hey everyone, we’re Danny and Justin — co-founders of [ShowAndTell](http://tryshowandtell.com).\n\n### **TL;DR**\n\nShowAndTell creates AI agents for dental patient operations. Our agents educate patients, boost case acceptance, and build lasting trust. We enable dental staff to focus on patient care rather than patient operations.\n\n### Our ask\n\nWe’d love introductions to your dentist, orthodontist, or decision-makers at DSOs and multi-practice groups.\n\n### Our demo\n\n<https://www.youtube.com/watch?v=2YC0PhBzYDw>\n\n### Problem\n\nDentistry is a $150B industry where providers ask patients to pay thousands to solve problems they often can’t even see. The average treatment plan is over $4k for diagnoses patients simply don’t understand. This lack of understanding breeds confusion and skepticism, causing patients to decline necessary care.\n\nCompounding the problem, dental staff are stretched thin. They must balance treatment planning, case presentations, financing, insurance coordination, appointment scheduling, and patient inquiries—both during and outside live visits. Hiring, retaining, and training this critical staff is getting harder, with over half of US practices struggling post-COVID, according to the ADA.\n\nWhen patients don’t trust or understand their treatment, they leave without accepting necessary care. This jeopardizes their health and leaves practices missing out on 70% of their revenue potential. Patients need better education and more personalized attention from staff.\n\n### Solution\n\nOur agents help patient coordinators educate, retain, and convert patients from the moment they step into the clinic. After their visit, ShowAndTell creates personalized & interactive treatment plans that explain the what, why, and how behind their procedures. Treatment coordinators use these plans for live case presentations, and patients refer to them when they leave the practice.\n\nPatients can chat with their plan, ask the doctor questions, and book follow-up visits.\n\n![uploaded image](/media/?type=post&id=85710&key=user_uploads/2246287/a9c55bfd-e519-4733-9cab-82739008d827)\n\nOnce a patient has left, ShowAndTell agents create personalized messages to check-in with patients and get them in for re-care.\n\n![uploaded image](/media/?type=post&id=85710&key=user_uploads/2246287/8d72db06-693b-4585-b3e1-340d7936111c)\n\n### Team\n\nDanny & Justin met on the second day of college at Penn. Since then, they’ve lived, traveled, and done their best work together. They built some of the first LLM customer support agents when there was only GPT playground, and have both built products at consumer and healthcare AI startups.\n\nDanny is a top 25 App Store developer, has built and launched a ProductHunt product of the week, and helped scale Ramp Bill Pay to $xxxm of payment volume.\n\nJustin led automation architecture at Infinitus Systems, a series-C healthcare startup. There, he built the first LLM-driven healthcare call automation. He was also the lead PM for Page Shield at Cloudflare, where he led the product from 0-$2m ARR.\n\n![uploaded image](/media/?type=post&id=85710&key=user_uploads/2246287/92091ee5-a44a-445a-989b-1eb67c0e1225)\n\n",
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    "one_liner": "Self-running physician scheduling",
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    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1728392131,
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        "full_name": "Michael Mounajjed",
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        "founder_bio": "Rice CS / Applied Math dropout now building automation software for hospital administrators at Durate",
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        "full_name": "Benjamin Liu",
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        "founder_bio": "Automating back-office admin tasks for hospitals, ex-Rice CS",
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        "linkedin_url": "https://www.linkedin.com/in/ben-franklin-liu/",
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        "title": "Founding Full Stack Engineer",
        "url": "https://www.ycombinator.com/companies/durate/jobs/IxpQj2P-founding-full-stack-engineer",
        "location": "San Francisco, CA, US",
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        "id": 85374,
        "title": "Durate - Automated hospital scheduling and management",
        "tagline": "We turn hundreds of hours of hospital planning into seconds.",
        "body": "# **TL;DR: It’s time for administrative software in hospitals to change**\n\nAdministrative tasks like scheduling consume extremely valuable time in hospital departments and clinics, diverting focus from patient care.\n\nDurate automates these back-office operations with a customizable solution, saving healthcare administrators and providers—including chief residents, doctors, and fellows—hundreds of hours. This allows them to concentrate on what matters most: delivering exceptional patient care.\n\n# **The Problem:** _\"Wait, I thought I'd be saving lives—not excel files?!\"_\n\nDoctors spend almost 20% of their working hours (and plenty more in additional hours) doing administrative work. We saw this first-hand with our parents and siblings who are doctors that devoted their lives to help people only to spend a large percentage of their time in Excel.\n\nThis inefficiency stems from a gap in healthcare software. While modern solutions heavily focus on hospital-patient interactions, they often neglect a connection just as important: the relation between the hospital to provider. Because of the dozens of rules and regulations, in addition to the lack of effective tools, providers are forced into doing complex back-office tasks that consume valuable time and energy.\n\n# **The Solution:**\n\n<https://youtu.be/MQqcWuxvdio>\n\n(Note: our previous name was Docflow)\n\nAfter initially starting at Harvard’s Psychiatry Residency program, Durate has been able to handle dozens complex rules, regulations, and program-specific information to safely create the most efficient program schedules. This centralized source of truth is vital for providing critical information to administrative tasks such as managing graduation requirements, processing payroll, ensuring compliance, and much more. By streamlining these processes, Durate empowers programs to operate more efficiently and focus on what truly matters—delivering incredible patient care.\n\nHere’s some more ⬇️\n\n**Customizable, Simple, and Intelligent Software:**\n\nWith AI, we’re able to add a layer of customizability in administrative software not previously seen before. Now, when you want to factor in John, who loves working Friday shifts, or Mary who is on Maternity leave — or any of the various things your previous software just could not understand (by anything, we truly mean anything) — Durate can do that with ease in just plain English.\n\n![uploaded image](/media/?type=post&id=85374&key=user_uploads/1617168/cd2cee17-4516-4135-8a20-3d04705db4aa)\n\nDurate is a simple solution for hospital’s most complex problems.\n\n![uploaded image](/media/?type=post&id=85374&key=user_uploads/1617168/69656061-f787-45c1-9db9-40f64b948efd)\n\n# **Moving Forward:**\n\nAlthough we initially focused on scheduling for residency programs, our main goal is to tackle as much complexity as possible in administrative work. We believe we can fundamentally transform extremely complex administrative tasks, allowing software to handle the work for you with ease.\n\n# **Our Team**\n\nMichael and Ben met during their first few weeks at Rice University where they lived, built software, and studied applied mathematics and computer science together before deciding to drop out.\n\n![uploaded image](/media/?type=post&id=85374&key=user_uploads/1617168/2d31980c-009e-44a5-8b0e-1b4a147b5084)\n\n[**Michael**](https://www.linkedin.com/in/michael-mounajjed/) - Michael grew up in Madison, WI—the headquarters of the largest medical software company in the US—born to two physician parents and grew up hearing about its shortcomings. His mom works in the internal medicine residency program at the University of Wisconsin-Madison. Michael founded his first company, Calceus Mining, in high school, building and optimizing Ethereum rigs which went on to process tens of millions of dollars in transactions. He was inducted into Wisconsin’s Business Hall of Fame at 16 years old.\n\n[**Ben**](https://www.linkedin.com/in/ben-franklin-liu/) - Ben’s sister is a chief resident at Cambridge Health Alliance, dedicating extensive time to scheduling residents. As the former president of Rice’s largest software engineering group, Ben has years of experience building automation products seen and used by hundreds of thousands of people.\n\n# **Our ask (and offer):**\n\nScheduling and administrative work aren’t relevant to just one kind of provider. We’re looking to connect with anyone in medicine who handles administrative tasks such as physician scheduling, payroll, or accreditation. This typically includes professionals working in institutions like:\n\n1. **Hospitals**\n2. **Nursing Homes & Agencies**\n3. **Private Clinics**\n4. **Residency Programs**\n5. **Outpatient Facilities**\n6. **Locum Tenens Agencies**\n\nIf that sounds like you, feel free to reach us at [founders@durate.com](https://mailto:founders@durate.com)!\n\n* **Sign up here:** [**Link here**](https://www.surveymonkey.com/r/ZJ98PJR)\n* **Share this post! -** Know anyone in healthcare who’s overwhelmed with administrative work (nurses, doctors, residents, etc.)? Let them know about us!\n* **Book a demo:** [**Link here**](http://cal.com/michael-mounajjed-dmt5wn/)\n* **Follow us on** [**LinkedIn**](https://www.linkedin.com/company/docflowsoftware/)\n* **Learn more at** [**durate.com**](https://www.durate.com)",
        "url": "https://www.ycombinator.com/launches/MD0-durate-automated-hospital-scheduling-and-management",
        "votes": 44,
        "created_at": "2024-11-08T04:28:26.847Z"
      }
    ]
  },
  {
    "id": 30034,
    "name": "HealthSpark",
    "slug": "healthspark",
    "former_names": [
      "Warrior Health"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/72c0ee087888b0137460914a67cc143ad8b5d98b.png",
    "website": "https://www.joinhealthspark.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "HealthSpark empowers physical therapists (PTs) to start, run, and grow their own independent practices. Our AI-native “business-in-a-box” takes care of the administrative work—credentialing, insurance billing, patient onboarding, documentation, and scheduling—so PTs can focus on patient care, not paperwork.",
    "one_liner": "Empowering Physical Therapists to Go Independent",
    "team_size": 1,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1731746181,
    "tags": [
      "Health Tech",
      "Digital Health",
      "Healthcare",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
      "Healthcare"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/healthspark",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/healthspark.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/health-spark",
    "x_url": "https://x.com/joinhealthspark",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/72c0ee087888b0137460914a67cc143ad8b5d98b.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 465224,
        "full_name": "Stephen Grinich",
        "title": "Founder/CEO",
        "founder_bio": "HealthSpark CEO & Founder. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/stephengrinich",
        "x_url": "https://twitter.com/stephengrinich",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/284e27c60928da6a081c911a41e7801e09eb50e4.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 85620,
        "title": "HealthSpark - Empowering physical therapists to go independent",
        "tagline": "Our AI-native \"business-in-a-box\" enables PTs to start, run, and grow their own practice",
        "body": "[HealthSpark](https://www.joinhealthspark.com/) empowers physical therapists (PTs) to start, run, and grow their own independent practices. Our AI-native “business-in-a-box” takes care of the administrative work—insurance billing, patient onboarding, documentation, and scheduling—so PTs can focus on patient care, not paperwork.\n\n# The Problem\n\nIn a traditional clinic, office managers and billing staff handle everything outside of direct care: credentialing with insurers, scheduling, patient intake, claims, and compliance. For PTs who want to go independent, all of that work falls on their shoulders. It’s time-consuming, complex, and costly, which discourages many from ever starting a successful practice.\n\n# Our Solution\n\nHealthSpark gives PTs the administrative infrastructure of a full clinic without the overhead of hiring staff. Our AI-enabled back office handles the core workflows of running a practice—insurance credentialing, scheduling, patient intake, documentation, and revenue cycle management—so providers can focus entirely on care.\n\nPTs run their practice on our custom EHR, designed with smart task reminders and equipped with an AI scribe to keep documentation and compliance on track. They also join our multi-state provider network, making it simple to go in-network with major insurers.\n\nBehind the scenes, HealthSpark deploys AI agents to handle the manual workflows that normally require a team of back-office staff. Our agents process unstructured paperwork like referrals, insurance cards, and faxed records, navigate insurance portals to verify benefits, and coordinate with other providers and health systems over phone and fax.\n\n![uploaded image](/media/?type=post&id=85620&key=user_uploads/465224/4dc806d7-f1ae-4c7d-913b-76d47cb61060)\n\n# Our Ask\n\nAre you a physical therapist considering going independent, or already in private practice and looking for support? Learn more about HealthSpark at our[ website](https://www.joinhealthspark.com/) and[ apply to join](https://www.joinhealthspark.com/contact) our provider network. \n\n![uploaded image](/media/?type=post&id=85620&key=user_uploads/465224/a0a14fa2-adee-4f03-9099-c03b1fbe148d)\n\n",
        "url": "https://www.ycombinator.com/launches/MGy-healthspark-empowering-physical-therapists-to-go-independent",
        "votes": 106,
        "created_at": "2024-11-16T23:39:23.410Z"
      }
    ]
  },
  {
    "id": 30039,
    "name": "Raycaster",
    "slug": "raycaster",
    "former_names": [
      "Atlas"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8e3854e63389e5cabd44e4b6563fefc3bd539147.png",
    "website": "https://eval.raycaster.ai",
    "all_locations": "New York City, NY, USA",
    "long_description": "Raycaster began as an agentic AI platform for knowledge work, serving dozens of publicly traded companies across life sciences, medical devices, energy, and oil and gas. It has since launched a division dedicated to training and evaluating AI systems in these industries, working directly with leading AI labs and enterprises to improve their ability to perform economically valuable work.",
    "one_liner": "Agentic AI for knowledge work",
    "team_size": 6,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1729820914,
    "tags": [
      "Biotech",
      "Data Labeling",
      "Enterprise Software",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
      "Healthcare"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/raycaster",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/raycaster.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/raycasterai",
    "x_url": "https://x.com/raycasterai",
    "fb_url": "https://www.facebook.com/raycasterai",
    "cb_url": "https://www.crunchbase.com/organization/raycaster",
    "github_url": "https://huggingface.co/datasets/raycasterai/",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8e3854e63389e5cabd44e4b6563fefc3bd539147.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 299659,
        "full_name": "Levi Lian",
        "title": "Founder/CEO",
        "founder_bio": "Raised in a four-generation medical family, Levi chose computer science to accelerate research rather than practice it. At Stanford he worked in AI labs on early foundation model applications, then shipped enterprise-ready AI at Solvvy (acquired by Zoom), Intuit and Uber AI. Levi combines deep life-science empathy with proven AI product execution to compress drug-development timelines.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/levi-lian",
        "x_url": "https://twitter.com/levilian1",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ef9e120296d16d39ce58bfe22573967a5158a27a.jpg"
      }
    ],
    "jobs": [
      {
        "id": 81306,
        "title": "CMC Workflow Specialist (Analytical/Tech Transfer)",
        "url": "https://www.ycombinator.com/companies/raycaster/jobs/C4HEspJ-cmc-workflow-specialist-analytical-tech-transfer",
        "location": "New York, NY, US / Remote",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$40 - $130 / hourly",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 81307,
        "title": "Clinical Trial Enablement Workflow Expert",
        "url": "https://www.ycombinator.com/companies/raycaster/jobs/ANItObm-clinical-trial-enablement-workflow-expert",
        "location": "New York, NY, US / Remote",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$40 - $130 / hourly",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Levi Lian, CEO of Raycaster, on why vertical AI is workflows first & chat last | Sacra",
        "url": "https://sacra.com/research/levi-lian-raycaster-vertical-ai-workflows/",
        "date": "Sep 30, 2025"
      },
      {
        "title": "Raycaster funding & analysis | Sacra",
        "url": "https://sacra.com/c/raycaster/",
        "date": "Sep 30, 2025"
      },
      {
        "title": "Raycaster: AgentX winner",
        "url": "https://rdi.berkeley.edu/agentx/",
        "date": "Jul 21, 2025"
      },
      {
        "title": "Agentic AI Summit Main Stage Speaker",
        "url": "https://rdi.berkeley.edu/events/agentic-ai-summit",
        "date": "Jul 09, 2025"
      },
      {
        "title": "Founder Fellowship 2025 Participants | NYCEDC",
        "url": "https://edc.nyc/founder-fellowship-2025-participants",
        "date": "Mar 06, 2025"
      }
    ],
    "launches": [
      {
        "id": 116908,
        "title": "Biopharma Bench 0.1 – Evaluating AI on Autonomous Drug Development",
        "tagline": "Frontier agents struggle in drug development; open models crush on cost",
        "body": "**TL;DR:** Everyone is trying to use AI for drug _discovery_ (finding molecules), but 90% of actual pharma time and money gets burned in drug _development_ - people digging through messy SharePoint, Veeva, fixing conflicting batch records (often scanned), updating clinical protocols, and answering FDA audit letters with 20 redline versions and siloed email threads with colleagues.\n\n![uploaded image](/media/?type=post&id=116908&key=user_uploads/299659/82cec064-a13e-4bfc-b527-31b46388e50c)\n\nWe built **Biopharma Bench 0.1**: 12 complete, reconstructed drug companies, 71 multi-hour tasks, and 752 ground-truth checks audited by industry veterans to see what happens when you actually put frontier AI into an employee’s seat.\n\n> One interesting finding: DeepSeek V4.1 Flash matched GPT-6 Sol on the actual work (57.0% vs 54.3%) at a sixth of the cost ($0.11 vs $0.64 per task). Meanwhile Claude Opus 5, #2 overall at 63.8%, didn't fully pass a single task.\n\nCheck out the interactive traces &amp; leaderboard: <https://eval.raycaster.ai/benchmarks/biopharma-bench>\\\nRead the deep-dive blog post: <https://www.raycaster.ai/blog/biopharma-bench>\\\nJoin the discussion on Hacker News: <https://news.ycombinator.com/item?id=49845891>\\\nX: <https://x.com/dubrovnik07/status/2103543413933064530>\\\nLinkedIn: <https://lnkd.in/p/g_PD7jYr>\n\n### Backstory\n\nHey everyone! We’re the team behind Raycaster (<https://raycaster.ai>).\n\nWe first started building AI agents for regulated industries like biopharma because we see the inevitable wave of knowledge work getting handled by AI systems with human oversight (definitely not fear-mongering, but in a super exciting way!).\\\n\\\nOver the last few months, our major focus has been helping frontier AI labs globally hillclimb capabilities in underserved industries such as biopharma, energy, data centers, among others.\n\nVery quickly, we noticed something broken: almost all bio AI benchmarks test multiple-choice questions or molecular physics. Nobody was testing whether an AI agent could actually do the drug development work, open a folder of 50 disorganized PDFs and spreadsheets, find where two lab reports contradict each other, and draft an FDA-defensible document.\n\nSo, we spent the last few months working directly with former pharma directors and regulatory specialists to build an evaluation that tests what real work actually looks like.\n\n---\n\n### The Problem: The \"Fluency Trap\"\n\nIt takes 8–10 years and over $1B to get a drug to patients. Most of that delay is paperwork and coordination mistakes:\n\n* Protocol Drift: \\~75% of clinical trials have to amend their protocols mid-flight. Each amendment costs hundreds of thousands of dollars and months of lost time.\n* Messy Records: A tiny discrepancy between a stability test memo from last Tuesday and an executed batch record can trigger FDA warning letters (Form 483s) or clinical holds.\n\nWhen people play with LLMs for this, they fall into what we call the fluency trap: Frontier models write seemingly true prose. If you just read the output, the AI sounds like a 20-year VP of Regulatory Affairs who knows everything.\n\nBut when you actually grade the facts against ground truth, the model cited an outdated 2023 draft instead of the approved amendment, or hallucinated a purity threshold. In biopharma, being 95% right with one made-up number is an instant rejection.\n\n![uploaded image](/media/?type=post&id=116908&key=user_uploads/299659/46c7d62a-3842-4e51-8680-ff7f80f37255)\n\n### How Biopharma Bench Works\n\nWe didn’t give the models clean, cherry-picked prompts. We dropped them into messy environments:\n\n* 12 Companies: Real reconstructed company drives packed with thousands of messy files and software states - unredacted study reports, supplier quotes, assay validations, and random internal memos.\n* 71 Long-Horizon Tasks: Multi-hour workflows across Preclinical, CMC/Manufacturing, Clinical Ops, and Regulatory Affairs (like investigating an out-of-spec stability result or drafting a protocol amendment).\n* 752 Ground-Truth Checks: Graded against falsifiable rubrics created using real documents along with former pharma directors.\n\n![uploaded image](/media/?type=post&id=116908&key=user_uploads/299659/36d4376d-59ed-4eba-9ede-d93930299e98)\n\n---\n\n### What Shocked Us from the Runs\n\nWe ran frontier reasoning models across multiple popular harnesses (Codex, Pi, Claude Code). Here are the 3 biggest takeaways:\n\n1. **DeepSeek matched GPT-6 Sol at 1/6 the cost.** \n2. **Almost nobody finishes a full task cleanly.** Top systems get 45–70% of checks, but full passes are rare: GPT-6 Astra 8/71, Grok 4.6 2/71, Kimi K3 and GPT-5.6 Sol 1 each. Claude Opus 5, DeepSeek, GPT-6 Sol, GLM, and Gemini got 0.\n3. **The writing is fine; the sourcing isn't.** In one public task, Claude Opus 5 did everything right on the surface: it navigated the folders, read scanned protocols page by page, and wrote a clean brief. But a secondary report claimed a \"protocol-defined 30-minute window\" that doesn't exist in the controlling protocol. Opus repeated it as fact in the brief for the inspector. An experienced engineer would have flagged it.\n\n---\n\n### See the Traces\n\n![uploaded image](/media/?type=post&id=116908&key=user_uploads/299659/10059154-ce98-41cb-b0ed-f23ac8942580)\n\n---\n\n### How We Can Help\n\n* Naturally as a data / research lab, we have tons of insights into benchmark design - we recently became a proud sponsor of [evalscience.org](https://evalscience.org), a 501(c)(3) nonprofit focused on scientific agent evaluation methods and independent benchmark verification. If there’s interest, happy to share more regularly on BookFace\n* We work with / fund academics and researchers and have landed joint papers in NeurIPS, NAACL and all the big conferences. Bring your idea to us and see what can come out of it\n* Finally, if you’re a neo-lab reading this, we have lots of ready to license data, environments and evals on some of the most interesting yet underserved industries 😄 , talk to us at [team@raycaster.ai](mailto:team@raycaster.ai)",
        "url": "https://www.ycombinator.com/launches/UPc-biopharma-bench-0-1-evaluating-ai-on-autonomous-drug-development",
        "votes": 15,
        "created_at": "2026-09-25T17:16:44.511Z"
      },
      {
        "id": 95955,
        "title": "Raycaster - Cursor for regulatory documents in drug development",
        "tagline": "AI workspace for high-stakes documents, not just code.",
        "body": "Hey YC 👋 I’m Levi, founder of Raycaster.\n\n### TL;DR\n\n* Raycaster is **Devin/Cursor, but for life sciences documents instead of code.**\n* It does **project-level drafting** across hundreds of PDFs, Word, Excel, and PowerPoints - not just “write a file from scratch.”\n* We’re starting with **drug development docs** (clinical, CMC, regulatory, quality) where delays and mistakes are insanely expensive.\n\n**Video (1 min):** [link](https://youtu.be/FhpC9dyBUF4)\n\n---\n\n### The problem (in plain English)\n\nIn drug development, everything important lives in documents:\n\n* protocols, reports, validation plans\n* batch records, specs, methods\n* Module 3, labels, responses to regulators\n\nThey’re scattered across SharePoint, Veeva, email, vendor portals, etc. When something changes - dose, batch size, impurity limit - you’re supposed to update _dozens_ of dependent docs so nothing contradicts anything else.\n\nToday that means:\n\n* **Research:** hunting across PDFs, Word, Excel, PowerPoints and public guidances for the right paragraph or table\n* **Draft:** copy-pasting into new docs and hand-editing boilerplate that “mostly” matches\n* **Edit:** reviewers tracking changes by eye and leaving 200 comments per document\n* **Version control:** folders called `FINAL_v7_REALLY_FINAL_clean(2).docx` and hoping nobody sends the wrong one to the agency\n\nThis happens across _every_ stage of drug development - nonclinical → clinical → CMC → labeling. When documents drift, you get delay letters, extra review cycles, or a straight-up rejection. It’s one of the big reasons timelines slip.\n\nChatGPT / Copilot can draft a single file. They don’t understand a **cross-document project** with real regulatory consequences.\n\n---\n\n### What we built\n\nRaycaster is an **AI workspace for document projects**, starting with regulatory and CMC work.\n\nThink of a repo, but for your dossiers:\n\n* A **workspace** that holds your source docs (guidances, prior submissions, lab reports, CoAs, batch records…).\n* A graph of how they depend on each other (this spec feeds this batch record feeds this Module 3 section, etc.).\n* An AI agent that can **research, draft, edit, and reconcile** across all of them—with citations and review controls.\n\nConcretely:\n\n1. **Research, with real citations**\\\n   Ask: “What does EMA say about a 5× batch size increase?” or “Which CoAs support these new commercial lots?”\\\n   Raycaster reads mixed formats (PDF, DOCX, XLSX, PPTX), pulls out the relevant paragraphs/tables, and shows you the answer with pinned citations back to the exact page and cell.\n\n   ![uploaded image](/media/?type=post&id=95955&key=user_uploads/299659/18f9f9a3-3ea8-49c7-b50f-17df326e526e)\n\n2. **Project-level drafting**\\\n   Instead of “write me a cover letter,” you say “update the batch formula + cover letter + justification for the 5× scale-up.”\\\n   Raycaster drafts the actual Word docs in your workspace, using the research + your templates, and wires in all the cross-references.\n\n   ![uploaded image](/media/?type=post&id=95955&key=user_uploads/299659/a80d77f1-fbde-429f-b80d-30153df19a1e)\n\n3. **Structured editing**\\\n   Editing is usually harder than drafting: “bump the batch size everywhere, but don’t touch the control batch,” “update only the EMA version,” etc.\\\n   Raycaster does **diff-aware edits**: it proposes precise changes inline, shows red/green diffs, and explains _why_ each change was made.\n\n   ![uploaded image](/media/?type=post&id=95955&key=user_uploads/299659/4b1ab418-fbe1-4517-a157-f54b076a9ca5)\n\n4. **Version control + remote agents**\\\n   Every change is tracked like a commit. You see: who asked for it, what files were touched, what the diff was, and what sources were used.\\\n   You can let Raycaster run “in the background” on a workflow (e.g. keep Module 3 in sync with new CoAs), then come in as a human reviewer to approve or tweak before anything is finalized.\n\nAll of this lives in a collaborative, access-controlled workspace, so legal/reg affairs/IT don’t freak out.\n\n---\n\n### Why this is technically interesting\n\nFor devs: this is all the fun of agents and tooling, but on **documents instead of code**:\n\n* Retrieval over **huge, messy, mixed-format corpora** (PDF/DOCX/XLSX/PPTX, scanned tables)\n* A maintained **dependency graph** of citations and document links, so the agent can do impact analysis instead of one-off Q&A\n* A diff engine that understands “regulatory text” and tables (git diff , not just lines of code\n* Multi-agent workflows with strict evaluation + human checkpoints, because “just let the model commit” is not an option when the FDA is on the other side\n\n---\n\n### Why we’re doing this\n\nI started Raycaster after seeing the same pattern over and over: the science was fine; **the documents were the bottleneck.** Teams were shipping “AI pilots,” but the real work was still people copying text between PDFs and Word.\n\nWe think documents deserve the same treatment code got:\\\n**good tooling, real version control, and smart agents that understand context.**\n\n---\n\n### Ask\n\nWe’re opening prioritized access for:\n\n* **Biopharma, med-tech, and device companies** with heavy document work (regulatory, CMC, clinical, quality, safety) on major submissions or post-approval changes.\n* **Engineers / researchers** who care about serious agentic systems on messy document workflows and want to kick the tires or collaborate on evals/benchmarks.\n\nIf that’s you (or someone you know):\n\n👉 Email [**founders@raycaster.ai**](mailto:levi@raycaster.ai) with the subject **“YC Pilot”** and 2-3 sentences about your team + doc stack, or just ping me at [**raycaster.ai**](http://raycaster.ai).\n\n![uploaded image](/media/?type=post&id=95955&key=user_uploads/299659/474ffc8a-305f-4986-ba5e-b236cf06dd90)\n\n",
        "url": "https://www.ycombinator.com/launches/Oxf-raycaster-cursor-for-regulatory-documents-in-drug-development",
        "votes": 19,
        "created_at": "2025-12-03T18:56:35.429Z"
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    "id": 30048,
    "name": "Matcha",
    "slug": "astrix-health",
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    "website": "https://www.matcha-health.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "We're building Matcha, the faster, smarter way to hire clinical talent—helping hospitals find active, qualified candidates at a fraction of the time and cost of job boards or headhunters.\r\n\r\nMatcha engages candidates at scale, matching them to your organization by qualifications and cultural fit. Recruiters save time, hospitals save money, and candidates get a better experience—a radically better hiring model for everyone involved.",
    "one_liner": "The best way to hire clinical talent.",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1728327995,
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        "full_name": "Abhinav Swaminathan",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder / CEO @ Astrix Health.\n\nBackground in economics and computer science. Previously led healthcare distribution and AI projects at Palantir. Before that was at various healthcare organizations working on big data projects, namely Duke Health, MedStar Health, and on the VBC side, Evolent Health.",
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        "user_id": 659147,
        "full_name": "Thomas Blake",
        "title": "Founder/CTO",
        "founder_bio": "Founder / CTO @ Astrix Health. Studied Applied Maths at Oxford with a focus on Healthcare and Machine Learning. Spent a couple of years at Palantir, building out some of the earliest generative AI workflows in healthcare. Now focusing on using AI to reduce the administrative load on clinics and hospitals.",
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      {
        "id": 85809,
        "title": "Astrix: AI purchasing agents for healthcare providers",
        "tagline": "Automated purchasing of the right healthcare supplies, at the right time.",
        "body": "Hi everyone, we are Abu and Tom, co-founders of [Astrix Health](https://www.astrix.health/)\n\n# **TL;DR**\n\nAstrix builds AI purchasing agents for healthcare providers.\n\nOur agents automatically purchase the right products at the right time, helping eliminate the $25 billion in wasted spend on medical supplies annually in the US.\n\n# **Why is this important?**\n\nThe US spends roughly $4.5 trillion per year on healthcare, with wasteful spending accounting for up to a quarter of that amount. On average, hospitals in the US waste at least $12 million each on medical supplies. Adding to the problem, nurses can spend anywhere between **20 minutes to one hour per shift** searching for medical supplies.\n\nFor clinics, this problem is even worse. Often, the same people responsible for treating patients are also in charge of purchasing supplies. They’re already stretched on time to care for patients, let alone shop around for the best deals.\n\nWhile shadowing an imaging center, we observed a nurse doubling as an office manager, simultaneously managing inventory, searching for deals, placing orders, and treating patients. When we got home we started building.\n\n![uploaded image](/media/?type=post&id=85809&key=user_uploads/659147/266d9b6a-1150-42bb-9fd1-5a79f9640753)\n\n# **Our solution**\n\nOur product has three main functions:\n\n1. **Analyze:** The agents comb through purchasing data (such as invoices) to identify high-spend areas and cost drivers.\n2. **Search:** Deployed AI agents search for better deals, considering provider-specific arrangements like preferred vendor discounts, GPO contracts, rebates, and other incentives.\n3. **Purchase:** Where appropriate, Astrix place orders when more cost-effective options are found, saving providers time and money.\n\nIn under three weeks, Astrix has started working with 10 healthcare clinics, **identifying an average 20% cost savings** across our first users’ recurring supply purchases. Our AI agents deliver immediate value, reducing expenses and freeing up providers to focus on patient care.\n\n![uploaded image](/media/?type=post&id=85809&key=user_uploads/659147/e7f5971c-af42-4f86-9f25-420e42710daf)\n\n# **Why now?**\n\nUntil recently, it was impossible to efficiently scan numerous websites and compare the myriad factors influencing purchasing decisions—such as per-unit costs, availability, expiration dates, device sizes, shipping, and more—at scale to find the best deals. Automating ERP and website navigation for purchases or negotiating with vendors was also previously unfeasible.\n\nAdditionally, we're frustrated by the poor quality and outdated nature of the incumbent supply chain software and strongly believe providers deserve better. AI offers a unique opportunity to fundamentally rethink how healthcare professionals interact with computer systems.\n\n# **Moving forward**\n\nPurchasing is just the beginning. We aim to become the comprehensive optimization layer for hospital supply chains, integrating inventory, purchasing, and patient data to put procurement operations on autopilot—ultimately reducing that **$25 billion waste to zero.**\n\nHealthcare professionals should never feel stressed about ordering or obtaining medical supplies, nor should patient care be delayed due to supply chain inefficiencies. That’s the problem we’re committed to solving.\n\n# **The team**\n\nOur team has extensive experience building AI/ML systems for major healthcare institutions. Abu and Tom, who met at Palantir, developed some of the first generative AI projects for the UK's National Health Service.\n\nAbu led Palantir's medical and pharmaceutical distribution vertical in the US and its healthcare generative AI team in the UK. Previously, he managed data projects at Duke Health and MedStar Health across clinical science projects and hospital operations.\n\nTom has experience solving optimization problems with AI from his time as an Engineer at Palantir and his Maths degree from Oxford.\n\n# **Our ask**\n\nEmail us at [founders@astrix.health](mailto:founders@astrix.health). We're seeking introductions to:\n\n* Hospitals\n* Private practices\n* Ambulatory surgical centers\n\nWe'd be incredibly grateful for any connections. As a bonus, if they share their last month's purchasing data with us, we'll provide a detailed analysis of their potential cost and time savings.",
        "url": "https://www.ycombinator.com/launches/MK1-astrix-ai-purchasing-agents-for-healthcare-providers",
        "votes": 36,
        "created_at": "2024-11-22T19:31:39.742Z"
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    "id": 30049,
    "name": "Reticular",
    "slug": "reticular",
    "former_names": [
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    "website": "https://reticular.com",
    "all_locations": "Boston, MA, USA",
    "long_description": "Reticular is scaling polygenic prediction for embryo selection, helping IVF couples plan their families today while building a platform to unlock cures for complex heritable diseases long-term.\r\n\r\nJohn competed Biology Olympiads before spending 4 years at MIT publishing ML/bio research in NeurIPS and Nature. We believe biological models encode far more information than anyone is currently using - our goal is to unlock this potential.",
    "one_liner": "Scaling Genomic AI for Embryo Selection",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Consumer Health and Wellness",
    "launched_at": 1731023720,
    "tags": [
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      "Consumer Health Services",
      "Biotech"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/reticular",
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    "year_founded": 2024,
    "city": "Boston",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/reticular-yc-f24/",
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      "name": "David Lieb",
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    "founders": [
      {
        "user_id": 711109,
        "full_name": "John Yang",
        "title": "Founder/CEO",
        "founder_bio": "MIT AI + Mathematics '24. Published ML research in NeurIPS and Nature. Prior quant intern at Goldman Sachs. National achievements include USA Brain Bee Champion, USA Biology Olympiad Bronze Medalist, and First Place Euro Challenge Team Captain.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/johnyang101",
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      {
        "id": 85439,
        "title": "Reticular: Steerable and interpretable AI for protein engineering",
        "tagline": "We help biotech companies design better proteins by making AI models controllable and predictable.",
        "body": "Hey everyone! We're [Nithin](https://www.linkedin.com/in/nithin-parsan) and [John](https://www.linkedin.com/in/johnyang101), founders of Reticular.\n\n**TL;DR:**\n\nReticular gives pharma companies precise control over protein AI models, enabling reliable drug discovery without millions in wasted experiments. We're unlocking encoded information in these models through foundational AI interpretability research, making steering as easy as prompting ChatGPT.\n\n**The Team:**\n\n![uploaded image](/media/?type=post&id=85439&key=user_uploads/684233/c914554d-0323-4701-8892-d9bf859a832c)\n\nNithin and John are huge AI + Bio nerds who:\n\n* Met 7 years ago competing in International Biology and Neuroscience Olympiads and were roommates at MIT for 4 years\n* Published ML/bio research in NeurIPS, Nature, and PLoS ONE\n\n**The Challenge:**\n\nInformation in biology is incredibly scarce and expensive to validate. While protein AI models like AlphaFold have revolutionized drug discovery, they're still black boxes:\n\n* Companies waste millions testing AI-generated designs and they can't easily control what these models output\n* Limited data makes validation slow and expensive\n\n**Our Approach:**\n\nInstead of trial-and-error, we're leveraging mechanistic interpretability techniques that excel at extracting sparse knowledge from models even with scarce data. We’re demonstrating that the same advances from frontier AI labs in steering models like Claude are applicable to unlock protein language models.\n\nFor our design partners, we’re delivering:\n\n* Direct steering of protein models towards desired properties\n* Interpretable biological features backing every design\n* Efficient exploration of combinatorially massive design spaces with limited data\n\n**See It In Action:**\n\n![uploaded image](/media/?type=post&id=85439&key=user_uploads/684233/3805bd5b-792f-4a8b-bd6c-cffec150612d)\n\nWe're steering Green Fluorescent Protein towards more fluorescent sequences by directly controlling the model's internal knowledge.\n\n**Learn More** at [reticular.ai](http://reticular.ai), our proof-of-concept [blog post,](https://nithin-parsan.medium.com/two-neurons-is-all-you-need-a-case-study-on-interpretability-in-protein-models-5295ab9133cb) and at [demo.reticular.ai](http://demo.reticular.ai).\n\n**We're Looking To Connect With:**\n\n* Startups working with biological language models for design partnerships\n* Pharma teams building generative discovery pipelines\n* Researchers working on AI interpretability\n\nWorking with biological AI or have relevant connections? We'd love to chat! Schedule some time at [calendly.com/reticular](https://www.calendly.com/reticular) or **email us** at [contact@reticular.ai](mailto:founders@reticular.ai)",
        "url": "https://www.ycombinator.com/launches/ME3-reticular-steerable-and-interpretable-ai-for-protein-engineering",
        "votes": 131,
        "created_at": "2024-11-11T04:47:23.913Z"
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    "id": 30109,
    "name": "FutureClinic",
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    "website": "https://www.futureclinic.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "FutureClinic is a platform that makes it easy for any doctor to open their own digital clinic. Our AI assistant takes a comprehensive medical history using an empathic chat or voice-based interface, uses sophisticated medical reasoning to narrow down likely diagnoses, and produces evidence-based treatment suggestions for each patient. Licensed doctors then review the text-based summaries of the cases our AI provides, and choose how to manage the patients. In this fashion, we're able to deliver end-to-end healthcare in a way that makes personalized, expert healthcare scalable to 8 billion people around the world. ",
    "one_liner": "Personal doctors through chat",
    "team_size": 4,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1731439180,
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        "full_name": "Usama Syed",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO @ FutureClinic\n\n| Building the future of healthcare with FutureClinic (YC F24). Digital medical clinics that are 99% AI, 1% doctor |\n\nMedical and business school graduate from Imperial College London, board-certified dermatologist, and faculty member at Mount Sinai, NYC. Medical content creator with 300,000+ followers across YouTube, Instagram, and X, and built the world's first AI-powered skincare database providing personalized skincare advice.",
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        "linkedin_url": "https://linkedin.com/in/usama-syed-419b0078",
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      {
        "user_id": 2189900,
        "full_name": "Nabil Belahouane",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder & CTO @ FutureClinic\n\nPassionate about improving health outcomes through technology.\n\nPreviously, Platform and Data Engineer at GoCardless, where I helped scale and optimise infrastructure for one of the UK’s leading FinTechs. Founding engineer at Documatic, driving the creation of incident prevention tooling for Fortune 500 companies.",
        "is_active": true,
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        "user_id": 2193417,
        "full_name": "Hassan Mirza",
        "title": "Founder",
        "founder_bio": "Co-Founder @ FutureClinic",
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        "id": 85775,
        "title": "FutureClinic: Healthcare that's 99% AI, 1% doctor.",
        "tagline": "We make it easy for any doctor or hospital to open their own AI-first digital clinic. ",
        "body": "### **TL;DR**\n\n* Most AI healthcare companies have been focusing on administrative tasks (authorizations/ scribing). We’re focusing on the main bottleneck in healthcare - clinical expertise. Our AI thinks like a doctor.\n* It conducts comprehensive medical histories via voice interface, performs medical reasoning, and suggests evidence-based treatments / next steps (99% of the healthcare journey).\n* Doctors can efficiently review text-based summaries on a back-end dashboard in under a minute, and maintain final medical decision-making control (the high value 1%).\n\n<https://youtu.be/cUoLpodvLwE?si=fUzpo4LD3y3rzqtT>\n\n---\n\n### **The Problem**\n\n1. **Traditional healthcare delivery is broken, with a fundamental supply/demand mismatch between the need for healthcare, and the number of doctors available to provide it.**\n2. **The US healthcare system is facing a physician crisis**\n   * Projected shortage of 86,000 physicians by 2036\n   * 30% of physicians are leaving the field or moving part-time in the next 5 years due to the lack flexibility or burnout.\n   * Patient volumes per physician are exploding, overwhelming doctors' capacity to deliver quality care\n3. **Existing attempts to solve these problems have been step changes, and fail to lessen the burden of care on doctors:**\n   * Traditional Telehealth simply moved the same broken workflows online, amounting to the same workload, if not more (”I think you’re on mute, Mrs. Jones…”)\n   * Asynchronous messaging currently requires a lot of back and forth and hasn’t achieved adoption\n   * Administrative streamlining AI services are great, but don’t tackle the fundamental bottleneck in healthcare which is clinical expertise.\n\n### **The Solution**\n\nFutureClinic is an EHR platform that powers digital medical clinics with sophisticated AI that handles 99% of the work, letting doctors focus purely on medical decision-making.\n\nOur platform:\n\n* Takes comprehensive medical histories through an empathetic voice interface\n* Uses advanced medical reasoning to narrow down diagnoses\n* Provides evidence-based treatment suggestions\n* Presents doctors with concise text-based summaries, with all key findings cited\n* Enables asynchronous care delivery without video/phone calls\n* Built-in safety protocols flag potential contraindications and risks.\n* Closes care gaps for patients with language barriers\n\n---\n\n### **Our Vision**\n\n* Our EHR starts by powering digital medical clinics, but we ultimately power healthcare delivery in brick and mortar clinics and hospitals too.\n\n---\n\n### **About Us**\n\n* 3 out of 4 co-founders are medical doctors as well as software engineers from top institutions (UCL, Imperial College London, Mount Sinai)\n* Combined experience of >10,000 real-world patient encounters, with a deep understanding of physician needs and pain points (and scar tissue to prove it!)\n* In previous roles, we’ve directly helped open >40 real world medical clinics in New York in the last 3 years, and know what it takes to deliver end-to-end care in a legal, compliant, and safe manner.\n* Our President has >300,000 followers on social media, largely doctors and medical students, giving us an unfair advantage for early distribution.\n\n### **Reach out!**\n\n_For Doctors_**:** If you're interested in starting your own digit clinic with complete flexibility and control, visit [**openclinic.com**](http://tryopenclinic.com) to sign up or email [**founders@openclinic.com**](mailto:founders@tryopenclinic.com)\n\n_For Healthcare Organizations_**:** If you're looking to launch a digital clinic or use our system for patient intake, we'd love to discuss how OpenClinic can help. Email [**founders@openclinic.com**](mailto:riyan@tryopenclinic.com)\n\n![uploaded image](/media/?type=post&id=85775&key=user_uploads/884243/dfb9960a-b1f2-466d-82cf-981b6a701532)\n\n",
        "url": "https://www.ycombinator.com/launches/MJT-futureclinic-healthcare-that-s-99-ai-1-doctor",
        "votes": 26,
        "created_at": "2024-11-22T00:13:00.394Z"
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    "id": 30118,
    "name": "Ember",
    "slug": "ember",
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    "website": "https://www.embercopilot.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Ember is rebuilding the back office of healthcare finance.\r\n\r\nBehind every provider sits a mountain of administrative complexity, and that drag lands where it matters most: cost, capacity, and care. Ember clears it with intelligent automation, so provider groups can spend their time on patients, not paperwork.\r\n\r\nWe're reimagining how revenue moves through healthcare, and how lean teams scale without trading away quality. Our platform drops into existing provider workflows, takes the manual work off their plate, and gives leaders real-time visibility into financial and operational performance.\r\n\r\nWe're growing fast, and we're hiring sharp, resourceful people who want to build. Right now, that starts with you.",
    "one_liner": "AI RCM. Increase net revenue by 16%. ",
    "team_size": 25,
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    "subindustry": "Healthcare",
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    "year_founded": 2022,
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    "linkedin_url": "https://www.linkedin.com/company/embercopilot",
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        "full_name": "Charlene Wang",
        "title": "Founder/CEO",
        "founder_bio": "Charlene is the CEO and co-founder of Ember AI. Previously healthcare product lead at Google. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/hsinleiwang",
        "x_url": "https://twitter.com/hsinleiwang",
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        "full_name": "Warren Wang",
        "title": "Founder/CTO",
        "founder_bio": "Warren is the co-founder of Ember. In the past, he did explainable AI research at MIT CSAIL and medical AI research with NVIDIA at hospitals in Taiwan. Warren holds a BS in EECS/Physics and MEng in EECS from MIT. He was a gold medalist at the 50th International Physics Olympiad. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/warrenweinwang",
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        "id": 74847,
        "title": "Healthcare SDR",
        "url": "https://www.ycombinator.com/companies/ember/jobs/1Pp8EZM-healthcare-sdr",
        "location": "San Francisco, CA, US / Remote (FL, US; New York, NY, US; Nashville, TN, US; MN, US; TX, US; OH, US; MI, US; UT, US; London, England, GB)",
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        "role_type": null,
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        "title": "Healthcare Account Executive (Mid-Market)",
        "url": "https://www.ycombinator.com/companies/ember/jobs/2J0vq51-healthcare-account-executive-mid-market",
        "location": "Burlingame, CA, US / Remote (Chicago, IL, US; Austin, TX, US; Nashville, TN, US; Columbus, OH, US; New York, NY, US; UT, US; CO, US; GA, US)",
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        "title": "Growth Marketer",
        "url": "https://www.ycombinator.com/companies/ember/jobs/BjTdbX1-growth-marketer",
        "location": "Burlingame, CA, US / San Francisco, CA, US / Remote (New York, NY, US; Chicago, IL, US; Nashville, TN, US; Boston, MA, US)",
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        "role": "Marketing",
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        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/ember/jobs/HyUKTVm-founding-engineer",
        "location": "Burlingame, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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      {
        "id": 87221,
        "title": "Ember Copilot - Instant ICD-10 Code Search",
        "tagline": "We help doctors instantly find the right medical codes to bill. ",
        "body": "Hey everyone! We’re [Charlene](https://linkedin.com/in/hsinleiwang) and [Warren](https://linkedin.com/in/warrenweinwang/), co-founders of [Ember Copilot](https://www.embercopilot.ai/).\n\n# **TL;DR**\n\nEmber Copilot helps surgery centers automate medical scribing, coding, and billing. Our autonomous coding solution achieves **98% accuracy** and reduces **denials by 55%.**\n\n<https://youtu.be/jRSdwId10No> \n\n# **Why does medical coding matter?**\n\nMedical coding determines how much healthcare providers get paid for their services. Without accurate coding, claims are denied, delaying or preventing payments for the work providers do.\n\n# ​​**Why are we building autonomous medical coding?**\n\nToday, many doctors still handle coding themselves, often relying on Google searches to navigate complex rules they weren't trained for. For example, as one billing manager shared:\n\n\"_We've got doctors that like to unbundle stuff, and not understanding that it's bundled, then you can't bill them separately_.\" \n\nThis challenge becomes even more significant in surgical procedures, where multiple codes, complex bundling rules, and specific documentation requirements create confusion.\n\nSome practices outsource coding and billing, but this approach isn’t perfect either. Coders aren’t in the exam room and often lack the full context of the patient encounter. This leads to time-consuming back-and-forth clarifications with physicians, delaying claims and introducing inaccuracies.\n\n# **Solution**\n\n![uploaded image](/media/?type=post&id=87221&key=user_uploads/198052/642df116-7838-4e4b-92c6-a61052dd417b)\n\nTo help providers get started, we've made [ICD10codes.ai](http://ICD10codes.ai) free for everyone to use. Simply insert a diagnosis or your full clinical note to get the most relevant ICD-10 code back. This works for both diagnoses and procedures.\n\nOur complete system goes further: \n\n* Handles ICD-10, CPT, and DRG while integrating directly with EHRs like EPIC. \n* Flags bundling issues, suggests appropriate modifiers, and validates documentation against payer requirements in real time.\n\n \n\nThis is especially valuable for surgical coding where providers deal with complex bundling rules and specific documentation requirements from payers like UnitedHealthcare’s enhanced requirements.\n\nBy combining autonomous coding with our scribing product, Ember Copilot helps providers identify missing documentation and meet requirements while the patient is still in the room. It’s like having a coding expert present at all times—without any overhead or delays.\n\n![uploaded image](/media/?type=post&id=87221&key=user_uploads/198052/d7e175a7-d2fd-4c32-9021-4f14323a624a)\n\n# **Ask**\n\nKnow a doctor who takes insurance? Connect us! We’re looking to help:\n\n* Physician offices\n* Ambulatory surgery centers\n* Government agencies\n\nWe’d love for them to try Ember Copilot on past claims and see the results directly.\n\n👉 Try it for free at [ICD10codes.ai](http://ICD10codes.ai) or email us at [**founders@embercopilot.ai**](mailto:founders@embercopilot.ai)\n\nThank you!\n\nCharlene & Warren\n\n![uploaded image](/media/?type=post&id=87221&key=user_uploads/198052/af2c2f1d-528a-4158-93d1-a73d0ad9d1a5)\n\n",
        "url": "https://www.ycombinator.com/launches/Mgn-ember-copilot-instant-icd-10-code-search",
        "votes": 29,
        "created_at": "2025-01-28T05:53:30.905Z"
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      {
        "id": 84770,
        "title": "Ember Copilot: The AI medical assistant that actually works",
        "tagline": "We’re bringing the state-of-the-art language model to every clinician in the world. ",
        "body": "![uploaded image](/media/?type=post&id=84770&key=user_uploads/198052/87f670f9-9471-494d-8b31-7c2ade36436f)\n\nHey everyone! We’re [Charlene](https://linkedin.com/in/hsinleiwang) and [Warren](https://linkedin.com/in/warrenweinwang/), co-founders of [Ember Copilot](https://www.embercopilot.ai/).\n\n# **TL;DR**\n\nWe help surgeons automate medical scribing, patient intake, insurance letters, and more, all directly integrated within their EHR. We’ve helped our early customers bring in over $60,000/mo.\n\n<https://youtu.be/RUkosYD-FLQ>\n\n# **Problem**\n\nThere are many AI scribes, but they’re mostly built for outpatient settings. Surgeons work in fast-paced, high-stress environments and rely heavily on dictation, templates, and human scribes. AI makes too many mistakes, and surgeons don’t have the time to fix those inaccuracies.\n\n# **Solution: A medical assistant designed for surgeons**\n\n1. **Quality:** By grounding the documentation in medical history and clinical consultations, we ensure precise SOAP and procedure notes.\n2. **Revenue Impact:** Our AI assistant reviews billing history and drafts letters of medical necessity, helping early customers generate over $60,000 per month in additional revenue.\n3. **Customization:** We customize workflows to fit subspecialties and fully integrate with general, orthopedic, and other types of surgery.\n\n# **Team**\n\n![uploaded image](/media/?type=post&id=84770&key=user_uploads/198052/83775b8f-0745-4dca-a203-494237d0fd2e)\n\nWe’ve built healthcare AI products for hospitals and insurers during our time at Google, NVIDIA, and MIT, so we know how to integrate tech into clinical workflows.\n\nThis mission is personal for us—our parents are in healthcare, and we’ve seen firsthand how much time gets wasted on paperwork. Our goal is to take that burden off providers so they can focus on patient care and reclaim some time for themselves.\n\n# **🙏 Ask: Share this post**\n\nDo you know anyone connected with **clinics**, **surgery centers**, **telehealth platforms**, **MSOs**, or **PE firms involved in medical roll-ups**?\n\nWe’d love to connect via DM or email at [founders@embercopilot.ai](mailto:founders@embercopilot.ai).\n\nThank you!\n\nCharlene & Warren",
        "url": "https://www.ycombinator.com/launches/M3G-ember-copilot-the-ai-medical-assistant-that-actually-works",
        "votes": 86,
        "created_at": "2024-10-15T19:19:57.262Z"
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    "long_description": "Careforce builds AI Workers for healthcare orgs to take on coordination burden from staff and reduce time of care by autonomously identifying and outreaching patients (through phone, text, email, & mail) to schedule visits, book screenings, complete pre-post, and onboard. \r\n\r\nThese agents require no integration, can navigate all tools, speak 29 languages, come with 50+ outreach scripts and have a remarkable 80% conversation-to-booking closing rate.",
    "one_liner": "AI Workers for Healthcare Orgs to Find, Call & Schedule More Patients.",
    "team_size": 9,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1730747199,
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        "full_name": "Huzaifa Sial",
        "title": "Founder/CEO",
        "founder_bio": "Founder and CEO of Careforce. Huzaifa is deeply focused in helping 3x care for all Americans.\n\nPreviously led AI Orgs @ United Healthcare & Optum. Masters in Clinical Informatics form Northwestern and has spent 14+ yrs building Healthcare AI solutions like Disease Prediction Models, Recommendation Engines, Patient Engagement & Behavioral Models, DME optimization Models, Care Delivery & Provider Search Engines etc. 4 Health AI Patents, 2 Healthcare AI exits.",
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        "id": 78672,
        "title": "Senior Fullstack Engineer",
        "url": "https://www.ycombinator.com/companies/careforce/jobs/Hjx9nA3-senior-fullstack-engineer",
        "location": "Oakland, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $180K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
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        "title": "Technical Product Manager",
        "url": "https://www.ycombinator.com/companies/careforce/jobs/3IP8uMc-technical-product-manager",
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        "url": "https://www.ycombinator.com/companies/careforce/jobs/0YNOnut-customer-success-delivery-lead-careforce",
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        "title": "Careforce - Must-have AI agents 🤖 for Healthcare admin 🏥",
        "tagline": "Get more patients in the door with AI agents for Healthcare Admin",
        "body": "Hi 👋 I’m [Huzaifa](https://www.linkedin.com/in/hsial/). At [Careforce](https://careforce.ai) we're eliminating the human-glue burden of admin & care coordination on staff with AI workers.\n\n### **TL;DR**\n\n* **Reduce the human-glue burden** on your health center staff for admin & care coordination tasks and increase revenue with Careforce AI Agents.\n* **Autonomously Call. Text. Schedule.** across multiple EMR, scheduling, & payer portals in 29 Languages and book 30% more appointments.\n* **Autonomously Sync. Analyze. Identify** unrealized revenue across all portals and plans, without needing to spend time & $$ integrating systems.\n\nhttps://www.youtube.com/watch?v=cWwsuSoAHgk\n\n# **The Problem**\n\nEven after spending almost $800B/yr (almost 70% of revenue) on staffing, Healthcare organizations leave 2/3rd of care unserviced, costing 30% in bookings & $250B/year in care coordination waste.\n\nMost care coordination & data sharing is still manually done by staff through phones, email, fax because of unintegrated systems and custom workflows too unique to automate out of the box.\n\n* **For health centers & practices** this means MAs (short-staffed with front desk and intake) end up spending most of their time on admin tasks and most patients are never outreached & scheduled for vital screenings/visits, leaving a 1/3rd of care unserviced.\n* **For Digital health & CCM companies** this means staffing admin & call centers for outreach, onboarding, task completions, reminders, or answering questions.\n* **For Payers** this means setting up a new call center or admin team every time a new program, benefit, or measure is launched to reach, schedule, onboard, or educate members.\n\n# **The Solution**\n\nCareforce creates autonomous agents that are able to take on these human-glue tasks and **complete them in the same way as your staff would without the need for integrations**. Our AI agents are already 🟢 Live with health centers and digital health companies helping analyze, call, schedule, and generate revenue.\n\n![uploaded image](/media/?type=post&id=85791&key=user_uploads/1090886/4b715375-b238-4976-931a-bee237740ed1)\n\n### **Angelica⟡** **(Admin):**\n\nCan autonomously:\n\n* Call, text, email, and schedule patients autonomously\n* Outreach using 50+ editable scripts (mammograms, pre-post-op, onboarding etc.)\n* Speak in 29 Languages to engage and educate across demographics\n* Make 100 calls / min. and finish a year’s worth of outreach in weeks\n* Leave Voicemails, Sending reminders, and autonomously retry patients as needed\n* Use EMR, Scheduling, payer and provider portals through UI or API Integrations\n\n### **David⟡** **(Data):**\n\nCan Autonomously:\n\n* Sync data from API and Integrations into a centralized AI-friendly data bucket.\n* Use UI to download data across EMRs & portals to create a Universal Patient View\n* Find unrealized revenue, and growth opportunity using your unique workflows\n* Prepare reports, and generate lists for Angelica⟡ to realize the unrealized revenue\n\n**1. David downloading report from an EMR portal**\n\n![uploaded image](/media/?type=post&id=85791&key=user_uploads/1090886/abeb0d09-f12f-40d1-9afd-be02a97357e8)\n\n**2. David** **calculating unrealized revenue**\n\n![uploaded image](/media/?type=post&id=85791&key=user_uploads/1090886/0a585ab1-1749-470f-897d-625600f6dcca)\n\n# **Our Mission 🚀**\n\nAt Careforce our mission is to improve the world's capacity for care.\n\nWithin this coming year, Careforce will solve the interoperability issue for care coordination with David and Angelica and make admin days and admin tasks a think of the past. Doctors, and nurses can finally focus on the patients and a lot more people can get the care they need.\n\n# **Our Ask**\n\n### **Healthcare Orgs:**\n\nLet us take on your calling, coordination, and manual admin work so you can get more patients in the door without burning out your staff. We'd love to learn about your use cases and give you personalized demos unique to your use case. [Book time with us](https://cal.com/helpcare/30min) or email [bettercare@careforce.ai](https://mailto:bettercare@careforce.ai)\n\n### **Healthcare frustrated:**\n\nIf you are annoyed with the state of healthcare, especially around getting care and dealing with the administrative burden of it all. Send us an email at [bettercare@careforce.ai](https://mailto:bettercare@careforce.ai)\n\n![uploaded image](/media/?type=post&id=85791&key=user_uploads/1090886/15ed9b27-e2af-4550-b802-02087ff79cf0)\n\n",
        "url": "https://www.ycombinator.com/launches/MJj-careforce-must-have-ai-agents-for-healthcare-admin",
        "votes": 56,
        "created_at": "2024-11-22T04:13:51.837Z"
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        "full_name": "Akkshay Khoslaa",
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        "full_name": "Gokul Kumarresen",
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        "id": 85479,
        "title": "Asha Health: Launch your AI clinic",
        "tagline": "We help medical practices support patients in between visits and generate additional revenue on autopilot.",
        "body": "### **TLDR**:\n\nAsha Health enables medical practices to launch their own AI clinic, designed to fill crucial care gaps that their brick & mortar clinics are too overburdened to address — all while generating additional revenue on autopilot.\n\n### **The Problem**\n\nFor the 120M Americans with chronic conditions, isolated physician visits once every few months aren’t enough. They need consistent education, guidance, accountability, and support, but medical practices are too overburdened with their day-to-day operations to address crucial care gaps like these.\n\n### **The Solution**\n\nUsing Asha, practices can spin up their own AI clinic and configure it to support their chronic condition patients on a weekly basis, in between visits with physicians at their brick & mortar locations.\n\nEach AI clinic:\n\n* Seamlessly coordinates teams of AI agents and AI-assisted auxiliary staff to guide patients to better health outcomes.\n* Runs on autopilot, generating additional revenue with zero effort from the practice’s staff.\n\nPractices across several specialties (ex: Internal Medicine, Cardiology, Pulmonology, Urgent Care, ED, etc) are choosing Asha to:\n\n* Boost margins on care delivery\n* Improve performance on VBC outcomes\n* Increase patient engagement & retention\n* Reduce burden on providers\n\n![uploaded image](/media/?type=post&id=85479&key=user_uploads/215361/b2c570a6-1e63-47c1-ad88-5eefd86eba6d)\n\n### **The Team**\n\nPrior to founding Asha Health, [Akkshay](https://www.linkedin.com/in/akkshay/) was a Google PM leading a portfolio of generative AI products, while [Gokul](https://www.linkedin.com/in/gokul-kumarresen/) led Growth Engineering projects at Brex. After a long personal journey with rare chronic conditions, the longtime (10+ years) best friends teamed up to “fix the healthcare system!!”. They spent over a year leading curated, tactical discussions with digital health operators & CMO’s and then garnered support from major health system executives when it was time to start Asha.\n\n![uploaded image](/media/?type=post&id=85479&key=user_uploads/215361/623f6a99-557a-4ae5-b9b5-fe4af122c2bb)\n\n### **How You Can Help**\n\nIf you know any of the following people, we’d appreciate warm introductions! Simply ping us at [akkshay@asha.health](mailto:akkshay@asha.health) or [gokul@asha.health](mailto:gokul@asha.health).\n\n* Chief Medical Officers or physician executives at hospitals or health systems.\n* Physicians working in medium sized private practices (5-100 providers).\n* Leaders in medical societies, IPA’s, ACO’s, or CIN’s.",
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        "votes": 101,
        "created_at": "2024-11-12T15:12:19.262Z"
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    "name": "Vocality Health",
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    "all_locations": "San Francisco, CA, USA",
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        "full_name": "Brogan McPartland",
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        "founder_bio": "Brogan is the co-founder and CEO of Vocality Health. Previously, he co-founded Fulltrack AI, a viral computer vision sports app, with Vivek. He was the CTO overseeing the app reaching 4 million downloads and becoming the #1 sports app in India, surpassing the Olympics app (during the Olympics). He scaled Fulltrack to mid-six-figure MAUs and holds three patents. He studied computer science at Harvard and speaks fluent Hindi. ",
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      {
        "id": 88135,
        "title": "Vocality Health: AI-powered medical interpretation for hospitals",
        "tagline": "Your AI powered medical interpreter, breaking language barriers in healthcare",
        "body": "Hey everyone [👋](https://emojipedia.org/waving-hand)\\\nWe’re [Brogan](https://www.linkedin.com/in/brogan-mcpartland-05830031a/) and [Vivek](https://www.linkedin.com/in/vivek-jayaram/), the cofounders of [Vocality Health](https://www.vocalityhealth.com).\n\n**TL;DR**: Hospitals spend billions on medical language interpretation services every year. Despite the cost, patients still face language barriers in healthcare. Vocality Health is building the most accurate and secure AI medical language interpretation system. Unlike human interpreters, Vocality is instant, always available, and integrates directly into hospital workflows. Hospitals are already signing up.\\\n\\\n<https://youtu.be/_-uy7y-sCBY>\n\n---\n\n## The Problem ❌\n\nHospitals struggle to communicate with linguistically diverse patients. Current solutions like human interpreters, phone services, or ad hoc translation by family members are slow, expensive, and often unavailable when needed most. Miscommunication leads to worse outcomes, longer hospital stays, and nearly doubles the cost of care.\n\n---\n\n## Our Solution ✅\n\nVocality Health is an AI-powered interpretation platform for hospitals that provides real-time, accurate, and clinically safe translation for doctors and patients.\n\nUnlike existing services:\n\n* **🏥 Instant & Always On** – No need to wait for an interpreter.\n* **🧑‍⚕️ Built for Hospitals** – Designed for clinical use, not general-purpose translation. Compliant and built to preserve patient privacy.\n* **📲 Fully Integrated** – Works with existing systems and hospital workflows.\n\nHospitals using Vocality get faster patient care, lower costs, and better outcomes.\n\n---\n\n## The Team 🤝\n\nVivek and I met as undergrads on the Harvard Cricket Club and later built [Fulltrack AI](https://www.linkedin.com/company/fulltrack-ai), a viral cricket app that became the #1 sports app in India, outranking the Olympics app (during the Olympics).\n\nWe’re now teaming up again to solve a problem that is deeply personal to both of us. After being denied coverage in the U.S., I spent years navigating international healthcare, experiencing firsthand how language barriers impact care and outcomes. Vivek, a PhD in speech generative models, has spent years developing AI to improve real-time communication. This problem is at the intersection of our experiences and expertise, and we couldn’t be more excited to be tackling it.\n\n![uploaded image](/media/?type=post&id=88135&key=user_uploads/467701/8b9289f5-6fd0-428c-9709-049edb562379)\n\n---\n\n## 🚀 Early Traction\n\n🏥 **Hospitals are already signing up to use Vocality Health.** Even at this early stage, they see the value and are willing to pay today.\n\nIf you're a hospital, provider, or industry expert, we’d love to chat.\n\n📩 Get in touch at [founders@vocalityhealth.com](mailto:founders@vocalityhealth.com)\\\n🌍 Learn more: <https://www.vocalityhealth.com>\n\nLet’s make healthcare truly accessible.\n\n---",
        "url": "https://www.ycombinator.com/launches/MvX-vocality-health-ai-powered-medical-interpretation-for-hospitals",
        "votes": 76,
        "created_at": "2025-02-28T00:48:16.000Z"
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        "full_name": "Johnny Chen",
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        "founder_bio": "2nd time founder now automating back office functions for dental clinics. Built one of the first AI B2B cold email solutions (backed by SoftBank) to $1m in ARR using GPT-J. Background in full stack engineering, operations management, and B2B marketing. Previously worked at Ford Motor’s R&D lab as a software engineer.",
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        "equity_range": "0.50% - 2.00%",
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    "launches": [
      {
        "id": 87923,
        "title": "🦷 Toothy.ai: Automating insurance verification & claims for dental clinics",
        "tagline": "Our AI agents automate insurance verifications, claims filing, payment posting (including checks), denials, and follow-ups.",
        "body": "### **Tl;dr**\n\n* [Toothy.ai](http://Toothy.ai) is building HIPAA-compliant AI agents that automate all the back office functions in a dental practice. Our first two agents automate the entire revenue cycle, so dental practices can sit back and watch the insurance payments roll in [😎](https://emojipedia.org/smiling-face-with-sunglasses)\n* Our AI handles everything from insurance verification, claim creation, claim submission, denial correction, claim resubmission, and payment posting.\n* We're already seeing early customers cutting their back office teams by 50-75% within weeks of implementing Toothy.\n\n### **Launch video**\n\n<https://youtu.be/y5VQe82PdGI>\n\n### **❌ The problem**\n\n* Dental practices **waste 800 million hours** and **$13.2 billion** per year on time-consuming and repetitive back-office tasks. On top of that, dental practices are facing an unprecedented labor shortage and **90**% of them find it extremely or very challenging to fill vacant positions.\n* The largest, most time-consuming, and error-prone part of a dental practice’s back office is revenue cycle management (RCM)—the process of getting paid. **80%** of dental practices face financial concerns due to RCM challenges. Tasks like insurance verification, claim submission, and payment posting are labor-intensive and prone to errors. Frequent policy changes make it difficult to verify coverage, leading to billing discrepancies and delayed payments.\n\n### **✅ The solution**\n\n![uploaded image](/media/?type=post&id=87923&key=user_uploads/2386492/97bc335c-1d5b-4c4a-ab85-e45f800ca7b2)\n\n* Toothy’s AI agents automate the entire RCM process, **saving practices 160+ hours per month and increasing revenue by 5-10%**. Our AI agents handle everything from insurance verification to payment posting, eliminating the largest source of administrative burden.\n* How do our agents work?\n  1. **☎️ Verify Insurance** – Calls payers and check online portals to confirm coverage.\n  2. 📝 **Input data** - Fills out and uploads a comprehensive breakdown form with 50+ codes into your practice management system.\n  3. 📬 **Create and submit claims** - Accesses imaging software, clinical remarks, and plan details to create & submit comprehensive claims.\n  4. 🛠️ **Correct denials** - Understands denial reasons, updates the claim, and resubmits to payers. Can even draft appeal letters.\n  5. **💰 Payment posting** - Collects, scans, and deposits insurance checks into your bank account.\n* Toothy becomes your full-time RCM team, reducing staff workload and ensuring faster, higher reimbursements.\n\n### **🙏 Our Ask**\n\n* Toothy is already working with dozens of forward-thinking dental practices who never want to deal with insurance again. If that sounds like you, we'd love to talk:\n  * 👉 Book a demo: [Here](https://calendly.com/toothy-ai/toothy-ai-demo)\n  * Learn more: [toothy.ai](http://toothy.ai)\n* For other inquiries, please email [founders@toothy.ai](mailto:founders@toothy.ai)",
        "url": "https://www.ycombinator.com/launches/Ms7-toothy-ai-automating-insurance-verification-claims-for-dental-clinics",
        "votes": 76,
        "created_at": "2025-02-22T18:42:24.753Z"
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    "name": "Amby Health",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Your wearable tells you what happened. Amby texts you what to do next, checks in, and adjusts when life gets in the way.",
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    "industry": "Healthcare",
    "subindustry": "Healthcare -> Consumer Health and Wellness",
    "launched_at": 1738458555,
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ambyhealth",
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      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
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        "full_name": "Yos Wagenmans",
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      {
        "user_id": 1616056,
        "full_name": "Timmy Dang",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO @ Amby Health. Software @ Amazon & Bloomberg. AI + Data Science @ OM1 (healthcare analytics).",
        "is_active": true,
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      {
        "id": 87974,
        "title": "Amby Health - AI Copilot for Ambulance Agencies (EMS)",
        "tagline": "We automate EMS quality reviews and billing, reducing errors, maximizing revenue, and improving patient care.",
        "body": "We’re Yos and Timmy – co-founders of [Amby Health](https://tryamby.com) 👋\n\n# **TL;DR**\n\nAmbulance agencies (EMS) waste time and lose revenue due to manual quality reviews and billing, leading to missed errors, under-documented care, and delayed reimbursements. Amby Health automates the entire process, ensuring 100% of patient reports (PCRs) are reviewed in real-time, helping agencies increase revenue, reduce workload, and improve patient care.\n\nKnow any **EMS Directors/CEOs or Fire Department Captains**? Please introduce us! \n\nEmail: [contact@amby.health](mailto:contact@amby.health)\n\n# **The Team**\n\n**Yos (CEO):**  MIT dropout, ex-Meta engineer, ML researcher at MIT CSAIL, and former engineer at Allm, a company providing pre-hospital emergency care. He saw firsthand how outdated, manual EMS documentation and billing slow down providers and reduce revenue.\n\n**Timmy (CTO):** – MIT dropout, ex-Amazon/Bloomberg engineer, AI researcher at MIT Media Lab, and healthcare data scientist at OM1. He saw how valuable insights are buried in unstructured medical records, making it hard for providers to act on critical data.\n\n![uploaded image](/media/?type=post&id=87974&key=user_uploads/541108/0d47eceb-120d-4b66-acd1-d3f1a67db38a)\n\n# **The Problem**\n\nEMS quality reviews and billing are still manual and inefficient, leading to:\n\n* **Missed Errors & Compliance Risks** – Incomplete patient reports (PCRs) slip through, leading to under-documented care, protocol violations, and legal exposure.\n* **Lost Revenue & Billing Delays** – EMS teams spend hours fixing reports, chasing down medics, and resubmitting claims. Agencies miss out on millions due to denials, coding errors, and charge capture gaps.\n* **Slow, Labor-Intensive Process** – Quality review and billing teams are bogged down by manual chart reviews and corrections, delaying reimbursements and patient care improvements.\n\n \n\n# **Our Solution: AI-Powered EMS Quality Review & Billing**\n\n✅ **Automated Quality Audits** – Identifies errors, missing documentation, and compliance risks instantly.\\\n✅ **Real-Time Medic Feedback** – Helps providers improve documentation and protocol adherence with instant insights.\\\n✅ **Billing Optimization** – Ensures complete PCRs, flags missed charges and reduces denials to speed up payments.\n\nThe result? EMS agencies recover lost revenue, cut review times, and improve patient care—while reducing manual work. \n\nOne fire department **increased EMS revenue by 33%** (from $350K to $500K) simply by improving its review process.\n\n# **Demo**\n\n<https://youtu.be/eH2ddSKFZOI>\n\n---\n\n**Our Ask**\n\n* Know any EMS Directors/CEOs or Fire Department Captains? Introduce us!\n* Reach us at: [contact@amby.health](mailto:contact@amby.health)\n* Learn more: [tryamby.com](http://tryamby.com)",
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        "votes": 67,
        "created_at": "2025-02-24T21:00:03.208Z"
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    "name": "HealthKey",
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    "all_locations": "Austin, TX, USA",
    "long_description": "HealthKey helps doctors offices generate more revenue by finding eligible patients for their clinical trials. We match at-risk patients with cutting-edge treatments, ultimately getting patients access to potentially life-changing treatments faster.\r\n\r\nBig Pharma pays a lot of money to clinics for each patient they enroll, but finding patients who qualify is an entirely manual process today. We use AI to prescreen doctors’ existing patients against Clinical Trials’ eligibility criteria, making enrollment fast and easy.",
    "one_liner": "AI-powered Patient Identification for Clinical Trials",
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    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
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    "batch": "Winter 2025",
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    "year_founded": 2025,
    "city": "Austin",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/gethealthkey/",
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      "name": "Tom Blomfield",
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        "full_name": "Josh Sabol",
        "title": "Founder/CEO",
        "founder_bio": "Founder/CEO of HealthKey. Previously a Product Manager at AWS, helping automate the ~$20B supply chain at AWS. I was the 1st PM at Plate IQ (S15), a B2B accounting & payments tool, which 10x'ed during my tenure and recently raised a $160M Series B from FTV Capital. 🌐 https://sabol.io/",
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        "title": "Business Manager (Accounting & Operations) - [Part Time / In-Person]",
        "url": "https://www.ycombinator.com/companies/healthkey/jobs/trfvIw4-business-manager-accounting-operations-part-time-in-person",
        "location": "Austin, TX, US / Chih., MX / Chihuahua, MX",
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      {
        "id": 87758,
        "title": "HealthKey — AI-Powered Patient Identification for Clinical Trials",
        "tagline": "Find 2x eligible patients in ½ the time",
        "body": "Hi everyone, [Josh Sabol](https://www.linkedin.com/in/joshsabol/) here with [**HealthKey**](https://gethealthkey.com/) 👋\n\n### **TL;DR**\n\nHealthKey helps doctors offices generate more revenue by identifying patients who are eligible for clinical trials, and matches at-risk patients with cutting-edge treatments. Big Pharma pays _a lot_ of money to clinics for each patient they enroll, but _finding_ patients who qualify is an entirely manual process today. We use AI to prescreen doctors’ existing patients against Clinical Trials’ eligibility criteria, making enrollment fast and easy.\n\nAre you a **Clinical Operations Leader** or a **Principal Investigator**? Book a **15-min demo** here 👉 <https://cal.com/healthkey/30-min-yc-launch>\n\n<https://www.youtube.com/watch?v=Bm764eA6dhw>\n\n### **The Problem**\n\nPharma/Biotech/Medical Device companies (a.k.a. Sponsors) rely on doctors’ offices (a.k.a. Research Sites) to find patients for clinical trials. **Each enrolled patient can bring a site anywhere from $20,000 to $100,000**. The problem is finding qualified patients. **Doctors have to manually search through dense medical records** looking for extremely specific criteria, for [**example**](https://clinicaltrials.gov/study/NCT05683691#participation-criteria): “Prostate cancer in T2c stage, 20-80 cc in size determined via MRI.” **Existing search tools rely on simple data fields**, so they can’t handle these nuanced requirements. As a result, doctors manually sift through lists of 1000 patients with Prostate cancer only to discover \\~5 patients match all eligibility criteria. The result is **wasted time, missed revenue, and fewer patients** getting access to potentially life-changing trials.\n\n### **The Solution**\n\nOur solution works in two steps:\n\n**1. AI-Driven Prescreening**\n\nWe connect with clinics’ EHR system\\* directly to pull all medical records, including faxed PDFs. Then we use AI to compare each patient’s medical history against a trial’s specific eligibility criteria. For example: prostate cancer’s status, stage, size, and impression source. We repeat this for every criterion, across all trials, creating a carefully vetted list of potential candidates ranked by how likely they are to qualify.\n\n**2. Doctor Review**\n\nDoctors log in to our dashboard to view the prescreened patients. For each candidate, HealthKey highlights the key pieces of evidence—such as MRI details or encounter notes—so doctors can verify if a patient qualifies. This feedback loop improves our system, making it fast and easy to identify, qualify and enroll patients into clinical trials.\n\nDoctors can onboard in under a week with our existing integrations\\*, or we’ll integrate with any certified EHR for free. Clinics only pay when they successfully identify qualified patients!\n\n\\* Current Electronic Health Record (EHR) integrations include Athena, Veradigm Allscripts, Epic, NextGen, and MedConnect.\n\n![uploaded image](/media/?type=post&id=87758&key=user_uploads/105349/63655e71-0364-435d-a48a-5eba0690ed2a)\n\n### **Case Study: $1.4M in Missed Revenue at Urology Clinic**\n\nOne of our current partners is a +10 location urology practice. They have 4 research coordinators who each spend 3 hours every morning searching for trial candidates manually in their EHR. This manual screening is the most time-consuming part of their day.\n\nLast year, they actively recruited for 11 clinical trials. They missed their enrollment targets because they couldn't identify enough eligible patients, resulting in $1.4M in missed revenue.\n\nHealthKey has freed up countless hours of staff time, and has already identified 100s of eligible patients. With HealthKey's AI-powered Patient Identification, they're now positioned to meet enrollment targets and capture their full revenue opportunity.\n\n### **The Ask**\n\nAre you a **Clinical Operations Leader** or a **Principal Investigator**? Book a **15-min demo** here 👉 <https://cal.com/healthkey/30-min-yc-launch>\n\nFinding patients for clinical trials is an enormous pain. If you know decision-makers in any of these organizations, we’d be super grateful for an introduction! Email us at [founders@gethealthkey.com](mailto:founders@gethealthkey.com)\n\n1. Healthcare orgs that do Research or run Clinical Trials (Hospitals, Clinics, etc.)\n2. Research Sites / Site Networks\n3. Pharma companies\n4. Bio-tech companies\n5. Medical Device companies\n6. Durable medical goods providers\n\n### **Thanks!**\n\n![uploaded image](/media/?type=post&id=87758&key=user_uploads/105349/b24b4fef-e9fd-4794-9d64-441183e5d94f)\n\n",
        "url": "https://www.ycombinator.com/launches/MpS-healthkey-ai-powered-patient-identification-for-clinical-trials",
        "votes": 33,
        "created_at": "2025-02-17T21:17:11.716Z"
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    "id": 30250,
    "name": "10x",
    "slug": "10x",
    "former_names": [
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      "Gradewiz",
      "GradeWiz",
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    "website": "https://www.10xdental.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "10x helps dental practices turn missed revenue opportunities into booked appointments. We connect to a practice’s patient database, identify overdue recalls, lapsed patients, and unscheduled treatment plans, then use AI calling and texting to bring those patients back into the chair.",
    "one_liner": "AI Sales Teams for Dental Practices",
    "team_size": 3,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1736138044,
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    "batch": "Winter 2025",
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        "user_id": 1991406,
        "full_name": "Max Bohun",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder @ 10x - AI Recall Agents that make dental practices a LOT more money",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/maxbohun/",
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        "user_id": 1491506,
        "full_name": "Aman Garg",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder of GradeWiz - AI Teaching Assistant that grades student work.\n\nCS at Cornell. \n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/amanmadhavgarg/",
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      {
        "id": 94534,
        "title": "🦷 Founding Engineer at 10x Dental (YC W25)",
        "url": "https://www.ycombinator.com/companies/10x/jobs/F9oCew6-founding-engineer-at-10x-dental-yc-w25",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $180K",
        "equity_range": "0.50% - 1.50%",
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        "visa": "US citizen/visa only",
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    "news": [
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        "title": "Student startup pilots AI grading assistant, joins Y Combinator | Cornell Chronicle",
        "url": "https://news.cornell.edu/stories/2025/02/student-startup-pilots-ai-grading-assistant-joins-y-combinator",
        "date": "Feb 26, 2025"
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      {
        "id": 100459,
        "title": "10x: AI sales teams for dental practices",
        "tagline": "10x helps dental practices turn missed revenue opportunities into booked appointments.",
        "body": "It’s 2026 and dentists STILL aren’t making enough money.\n\n<https://youtu.be/DAFMj8AAg2E>\n\nMillions of dollars in opportunities are already in their database… and they aren’t turning into appointments.\n\nPractices spend thousands to acquire patients\n\nthen forget to follow up.\n\n10x (YC W25) is a revenue engine for dental practices.\n\nWe call patients who are overdue for checkups and follow up on treatment plans to help practices produce as much as possible.\n\nFor a practice in Miami, we’re generating &gt;$30k/month in incremental revenue.\n\nFor a practice in LA, we brought back 94 lapsed patients in one month.\n\nAlready live in the largest and second-largest privately owned dental groups in Chicago,\n\none of the largest in Sacramento,\n\nand dozens of practices covering every continental U.S. timezone.\n\nIf you run a dental practice and you’re not using 10x, you’re leaving money on the table. [Schedule a demo.](https://calendly.com/aman-gradewiz/30min?month=2026-04)\n\nP.S. We’re actively HIRING a founding engineer and a founding GTM. Reach out to [Max Bohun](https://www.linkedin.com/in/maxbohun/?skipRedirect=true)!",
        "url": "https://www.ycombinator.com/launches/Q8J-10x-ai-sales-teams-for-dental-practices",
        "votes": 8,
        "created_at": "2026-04-29T21:56:11.000Z"
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        "id": 87914,
        "title": "GradeWiz: AI Teaching Assistant",
        "tagline": "Grading Ivy League Assignments with AI",
        "body": "[GradeWiz](https://www.gradewiz.ai/marketing/index.html) is the AI teaching assistant for Ivy League courses that grades student work and gives them feedback.\\\n\\\n9 out of 10 Educators would rather lose a kidney than grade another assignment.\n\nStudents wait weeks to get generic feedback on their work that they don’t even read.\n\nGradeWiz transforms the way courses are taught: now, a single TA does the work of 10, 10x faster. We have already graded over 30,000 submissions this year at massive universities like Penn State, Cornell, Hunter, Cal Poly, and Syracuse. Each submission gets detailed next-day feedback that educators don’t have time to give.\n\nIf you’re an educator or a decision maker, [join our waitlist.](https://www.gradewiz.ai/marketing/waitlist.html)\n\n[GradeWiz Launch Video](https://www.youtube.com/watch?v=hLtSfhU10P8)",
        "url": "https://www.ycombinator.com/launches/Mry-gradewiz-ai-teaching-assistant",
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        "created_at": "2025-02-21T23:29:11.396Z"
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        "full_name": "Hugo Fry",
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        "full_name": "Ayodeji Ijishakin",
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        "full_name": "Nina Montaña Brown",
        "title": "Founder/CTO",
        "founder_bio": "Solving the interpretive moment in radiology.\n\nex-ML Engineer across multiple medical device startups, with experience in FDA and CE marked medical devices, as well as LLM safety in healthcare. My PhD in Medical Imaging (UCL) focussed on surgical vision; my work has been patented, cited 100+ times, and published across the world's highest impact scientific venues (Nature, NeurIPS, ICLR).",
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        "title": "Mecha Health Raises $4.1M Seed Round",
        "url": "https://www.mecha-health.ai/blog/Mecha-raises-seed",
        "date": "Nov 03, 2025"
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        "id": 117908,
        "title": "Mecha Wayfinder: locating any finding, anywhere, in any medical image.",
        "tagline": "Meet Mecha Wayfinder! It locates any finding anywhere in any medical image by inspecting our foundation models, like giving the model an “MRI.”",
        "body": "# Mecha Wayfinder\n\nOne of the most important challenges for next generation foundation models in radiology is the ability to locate any type of pathology in across anatomies and modalities.\n\nWe’ve recently had a bit of research breakthrough on this, and today we’re introducing Mecha Wayfinder, a new tool for locating findings in medical images.\n\nTraditional systems like segmentation models are too restrictive for the task we’re trying to solve. Grad-CAM weights and upsamples a late convolutional feature map, which can leave localization spatially coarse and obscure boundaries.\n\nWayfinder takes a different approach. Think of giving the underlying AI an “MRI”: a way to inspect where the model looks, requiring zero human annotations.\n\nThe part we’re so excited about is that this approach scales with only images and reports. As we train better underlying systems, we expect Wayfinder to improve too.\n\nYou can learn all about it in our latest blog post linked below:\\\n<https://www.mecha-health.ai/blog/Locating-Any-Pathology-Anywhere-in-All-Types-of-Medical-Images>\n\n<https://youtu.be/CDkv4uWWpjw>",
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        "created_at": "2026-10-01T18:37:27.462Z"
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        "title": "Mecha Health - Vision-language foundation models, that scale healthcare.",
        "tagline": "Today Mecha is launching a new set of capabilities, vision-language foundation models that interpret studies the way radiologists do.",
        "body": "Today we’re launching a new set of capabilities at Mecha: foundation models that interpret studies the way radiologists do, across anatomy, modality, views, and priors, while fitting into any workflow or software environment.\n\n\\\n<https://youtu.be/M6YMdM0I884>\n\n\\\nWhat’s new is less about “one more model”, and more about a human-like feature set for real workflow:\n\n* Multi-anatomy interpretation\n* Multi-modality support\n* Multi-view reasoning with full clinical context\n* Prior-aware comparison: identifies clinically relevant change vs prior exams\n* Environment-agnostic delivery: a radiologist opens the study and finds a high-quality draft report already waiting in their template.\n\nThese new capabilities are designed to help frontier practices scale healthcare, without asking radiologists to relearn their workflow.\n\n### Our Ask\n\n* If you’re evaluating next-generation reporting AI, or know a group that is, we’d love to talk.\n\n**Please reach out directly at [ahmed@mecha-health.ai](mailto:ahmed@mecha-health.ai) - you can also check us out at** [**https://mecha-health.ai**](https://www.mecha-health.ai/)",
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        "created_at": "2026-02-19T18:31:53.538Z"
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        "title": "Mecha Health 🩻 Trustworthy medical image reporting using AI",
        "tagline": "Automated analysis of medical images that is accurate and interpretable.",
        "body": "**TLDR;** \\\nMecha Health helps radiologists save time and effort by producing draft reports of medical images using AI. \\\n\\\n**The Problem: Too Many Scans Not Enough Doctors.** \\\nDue to a shortage of experts, US radiologists have to read 100 - 250+ studies per day, and this means that 55% have reported high levels of burnout. Additionally, patients sometimes have to wait days to receive medical reports for their scans due to backlogs. At times, this can result in preventable patient harm. \\\n\\\n**Our Solution: Accurate & Interpretable Medical Image Analysis.** \\\nWe improve the reporting process by producing draft reports with AI and have invented new science to do this both accurately and safely. Our system can trace every finding to its visual source in the image and evidence each finding with examples from the training dataset. This allows for transparent reporting that doctors can trust.\n\n![uploaded image](/media/?type=post&id=87081&key=user_uploads/2272824/2dd6b41e-c6f1-46a8-b932-678f32885952)\n\n**Our Background: Frontier Scientific Expertise.** \\\nWe are leading researchers in machine learning and medical imaging having published in tier-one AI venues (NeurIPS, ICLR, ICML). [Nina](https://www.linkedin.com/in/nina-monta%C3%B1a-brown-6aa24b133/), [Ahmed](https://www.linkedin.com/in/ahmed-abdulaal-5b8b6a295/) & [Deji](https://www.linkedin.com/in/ayodeji-ijishakin-b6208b1a9/) crossed paths through University College London’s Medical Imaging PhD program. [Hugo](https://www.linkedin.com/in/hugo-fry-825828271/) met the team after he published AI research that was cited by Anthropic. Ahmed, a trained medical doctor from Imperial College London, witnessed firsthand how reporting delays harm patient outcomes—driving Mecha Health’s mission to transform radiology.\n\n![uploaded image](/media/?type=post&id=87081&key=user_uploads/2272824/0785d872-c2c8-4a5f-ae6b-f06069c9ec95)\n\n**Our Ask: Intros to Pioneering Medical Professionals and Healthcare Executives.** \\\nPlease reach out to the team at [ahmed@mecha-health.ai](mailto:ahmed@mecha-health.ai) if you know any tech-forward clinicians, radiologists, radiology practices, or healthcare executives who could benefit from our technology. You can also check us out at <https://mecha-health.ai/>.\n\n**Watch our full product video here** \\\n[**https://youtu.be/s5uJS7S8EF4**](https://youtu.be/s5uJS7S8EF4)",
        "url": "https://www.ycombinator.com/launches/MeX-mecha-health-trustworthy-medical-image-reporting-using-ai",
        "votes": 37,
        "created_at": "2025-01-23T03:22:50.784Z"
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        "full_name": "Sophia Clark",
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        "full_name": "Veronica Nutting",
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        "founder_bio": "Building Harbera. Previously backend engineer at Stripe. Investment engineering intern at Bridgewater; ML intern at Alife Health (fertility AI startup). Studied Computer Science at Harvard with Sophia.",
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        "title": "Harbera 🏥 AI healthcare provider credentialing",
        "tagline": "Harbera helps hospitals and clinic groups keep their doctors credentialed and compliant.",
        "body": "Veronica and Sophia here, we’re building Harbera. Harbera is AI software that helps healthcare organizations keep their providers - physicians, dentists, nurse practitioners - in-network with insurers and compliant.\n\n<https://youtu.be/75SKmVEMBvs>\n\n## Without credentials doctors can’t treat patients\n\nCredentialing is the bureaucratic process of verifying a providers’ qualifications and contracting them with insurance plans. The 900+ insurance companies across the U.S. have different and ever-changing credentialing requirements, and providers need to be re-credentialed regularly. \n\nKeeping providers credentialed is critical. If a provider falls out-of-network, it can take months to get credentialed again. Health systems are often unaware that a provider has fallen out-of-network until claims start getting denied, leading to disrupted patient care and billions in lost revenue.\n\n## Monitoring credentialing is hard and gets harder at scale\n\nThere’s a lot that administrators need to keep track of: updates to insurance plan requirements (often mailed), license and certification expirations, malpractice sanctions, re-credentialing timelines, and more. Today, many back-office teams at hospitals and clinic groups use spreadsheets, filing cabinets, or even repurpose tools like Salesforce to track credentialing.\n\nHere’s why monitoring is challenging for organizations:\n\n* A telehealth company that accepts 10 insurance plans and works with 100 therapists across 30 states needs to track up to 30,000 statuses.\n* A dental group working with 200 dentists needs to track 8,000 statuses. (Dentists are enrolled in over 40 insurance plans on average.)\n\n## What we’re doing\n\nWe are making credentialing easy. Our software integrates with a healthcare organization’s existing systems to continuously monitor and proactively re-credential providers across states and insurance plans. We keep administrators in the loop so providers never fall out-of-network. We make onboarding new providers seamless with real-time document validation. We analyze credentialing trends to identify revenue growth opportunities and optimize staffing.\n\n## About us\n\nWe’re best friends from college. We studied and taught Computer Science together at Harvard. [Veronica](https://www.linkedin.com/in/veronicanutting/) was a software engineer at Stripe, and [Sophia](https://www.linkedin.com/in/sophia--clark/) was a software engineer at House Rx, a specialty pharmacy software startup serving clinics across the country.\n\n## Ask\n\nDo you know health leaders that work in multi-state or multi-practice healthcare organizations, like dental support organizations (DSOs), telehealth companies, hospitals, or clinic groups? We’d love to meet them!\n\nEmail [founders@harbera.com](mailto:founders@harbera.com) to get in touch 🦡🧡\n\n![uploaded image](/media/?type=post&id=87777&key=user_uploads/1991575/efe8f892-45ec-4380-b97e-d95c7791cb63)\n\n![uploaded image](/media/?type=post&id=87777&key=user_uploads/1991575/56e11f74-9f30-48e2-9872-d6dab1efd824)\n\n",
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        "created_at": "2025-02-18T15:52:16.097Z"
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        "title": "Paratus Health – Conversational Patient Intake",
        "tagline": "A conversational agent that prescreens patients like an intake nurse.",
        "body": "### **Introducing Paratus – AI-Powered Patient Intake**\n\n**TL;DR**\n\nPatients wait months for an appointment, often with no guidance or symptom tracking in the meantime. When they finally see a doctor, the first 5-10 minutes of the visit are wasted gathering history instead of diagnosing and treating.\n\n**Right now, there are only two ways to handle patient intake:**\n\n* **Static intake forms** – Miss key details, forcing doctors to play catch-up.\n* **Triage nurses** – Costly, difficult to scale, and still prone to oversight.\n\nParatus changes this. Our AI-powered intake assistant gathers symptoms, flags concerns, and delivers a structured clinical summary before the visit even starts—so doctors walk in fully informed.\n\nWatch our demo [here](https://youtu.be/KHh7fp5svY8).\n\n### **It’s Time for a New Wave of AI-Powered Intake**\n\n✅ **Conversational AI engages patients before their visit,** collecting deeper insights than any form ever could.\\\n✅ **Doctor-approved triage** – Uses **500+ Schmitt-Thompson protocols** and cross-checks medical literature.\\\n✅ **Instant structured reports** – Doctors walk in fully prepared with:\n\n* Symptom history & differential considerations\n* Next steps & testing recommendations\n* A pre-visit SOAP note for the EHR\n* A full conversation transcript for review\n\n**Think of it as a triage nurse who never misses a detail—at a fraction of the cost.**\n\n### **How It Works**\n\n1. **Instant Patient Connection** – The patient clicks an SMS link and connects with our AI assistant.\n2. **Conversational AI Consultation** – Our AI dynamically adapts to responses, uncovering key details just like a triage nurse.\n3. **Automated Pre-Visit Reports** – We run the full transcript through our fine-tuned LLM, extracting structured insights for the doctor.\n\n### **The Problem: Long Waits & Inefficient Intake**\n\n* **Months-long wait times** leave patients in limbo with no support.\n* **Doctors start visits blind**, leading to rushed decisions and missed symptoms.\n* **Triage nurses are expensive and inefficient**, yet essential for collecting high-quality data.\n\nParatus solves these problems, ensuring patients feel heard before their visit and doctors can focus on diagnosis, not data collection.\n\n### **What Patients Are Saying**\n\n_\"I called as a mother for my son’s ear pain. I was impressed by the AI’s clarity, empathy, and ability to ask the right questions. Honestly, it was better to talk to than a real nurse!\"_\n\n### **Why Us?**\n\nBest friends Tannen Hall and Pablo Bermudez-Canete, both AI students from Stanford, founded Paratus Health to fix a problem they experienced firsthand—the broken patient intake process.\n\nFor 11 years, Tannen watched his family members - and himself - grow sicker without a diagnosis for a rare disease. They endured months-long waits for every appointment, only to leave with more questions than answers. Each new doctor started from scratch, missing critical details that could have led to the right diagnosis sooner. By the time they finally got answers, it was too late to undo the damage.\n\nThat experience left Tannen frustrated with a system that forces patients to wait in limbo while their health deteriorates. He wrote about this problem in his Stanford application, and today, there is no one more determined to fix it.\n\nNow, he and Pablo are building Paratus, an AI-powered intake platform that ensures no patient is left waiting without support and no doctor walks in unprepared.\n\n![uploaded image](/media/?type=post&id=87836&key=user_uploads/1786718/3a9b560c-8f62-4376-9297-67a19ff14f04)\n\n### **Our Vision**\n\nA world where doctors walk in ready to diagnose, not gather symptoms- because every patient’s full story is already in their hands.\n\n### **Our Ask**\n\nWe’re currently running pilots and looking to connect with:\n\n* Hospitals\n* Physician offices\n* Outpatient facilities\n* Private clinics\n\nBook a demo [here](https://calendly.com/pablo-paratushealth/30min?month=2025-02)!\n\nIf you know someone who should see this, we’d love an introduction! Reach us at [pablo@paratushealth.com](https://mailto:pablo@paratushealth.com) or on [linkedin!](https://www.linkedin.com/company/paratushealth/)\n\n**Let’s fix patient intake - so doctors can focus on care.**",
        "url": "https://www.ycombinator.com/launches/Mqi-paratus-health-conversational-patient-intake",
        "votes": 94,
        "created_at": "2025-02-19T22:11:23.963Z"
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    "id": 30399,
    "name": "Frekil",
    "slug": "frekil",
    "former_names": [
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    "website": "https://www.frekil.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Today, it takes months to understand how drugs perform in the real world, delaying safety insights and leaving patients exposed to unknown risks and benefits for far too long. Frekil turns that months-long process into minutes, with full auditability and scientific rigor.\r\n\r\nFrekil accelerates real world evidence (RWE) generation for life sciences companies on their own clinical data from months to minutes. It connects to fragmented clinical data (EHR, Claims, etc.) and lets teams run end-to-end studies from study design, cohort extraction to SAP, statistical analysis, and final reports.",
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    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1744440110,
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        "user_id": 1701549,
        "full_name": "Nikhil Tiwari",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO at Frekil | IIT Bombay graduate | Prev SWE @ Stripe, Amazon, Marsh&McLennan | Semester Exchange at University of Geneva | Healthcare AI research @ IIT Bombay",
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      {
        "user_id": 2184765,
        "full_name": "Shivesh Gupta",
        "title": "Founder/CTO",
        "founder_bio": "I’m the co-founder and CTO at Frekil, building AI-powered workflows to generate automated real world evidence of drug performance. Previously, I worked as a systems software engineer at Sony Japan and declined a full-time offer from an HFT to build Frekil. I graduated from IIT Bombay this year, where I also led the institute web and coding club.",
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    "launches": [
      {
        "id": 90527,
        "title": "Frekil - Scale AI for Medical Scans 🚀",
        "tagline": "Scale AI for Medical Scans",
        "body": "Hey everyone, we’re [Nikhil](https://www.linkedin.com/in/nikhiltiwari-iitb/) & [Shivesh](https://www.linkedin.com/in/shivesh-gupta-iitb/), co-founders of Frekil!  👋\n\n## TL;DR\n\nFrekil is an end-to-end platform to procure and annotate medical imaging datasets like Xrays, CTs, MRIs, etc 10x faster with AI assistance. We’ve partnered with radiology chains for large-scale imaging data, and have a global marketplace of radiologists for rapid, high-quality annotations.\n\nhttps://youtu.be/2MYjUFp3r0Q?feature=shared\n\n## ❗The Problem\n\nAI is transforming healthcare, but the biggest bottleneck is still **access to medical images from hospitals and annotations by expert doctors**.\n\nHealthcare AI and life sciences companies spend millions collecting medical images and hiring expert radiologists. But annotations? They're still:\n\n📝 Manual\\\n🐢 Slow\\\n🔍 Hard to QA\n\nFinding expert annotators with deep domain knowledge is tough, which means R&D teams waste months and large budgets on a process that should be seamless.\n\nMedical annotation itself is uniquely challenging because it involves:\n\n📦 Gigabyte-scale files\\\n🧠 Complex, multi-dimensional data that’s sensitive to loss\\\n🎯 Accuracy that’s absolutely critical\n\nYet most teams still use open-source desktop tools like 3D Slicer, built decades ago for solo researchers. These tools:\n\n🚫 Require local machines\\\n📉 Offer no real-time collaboration\\\n📊 Force spreadsheet-based coordination\\\n🔐 Risk compliance and data security\n\nAnd the result?\\\nHighly trained radiologists are stuck doing repetitive tasks manually wasting time, slowing innovation, and compromising data quality.\n\n## 🧠 Our Solution\n\nWe transform the way healthcare AI teams prepare data by **accelerating and streamlining the entire annotation pipeline** — cutting timelines from months down to days.\n\nHere’s how:\n\n✅ Deliver fully annotated **medical datasets** tailored for AI research needs\n\n✅ Provide certified and benchmarked **radiologists** for annotation and quality assurance\n\n✅ Offer advanced, browser-based annotation tools for all kinds of medical images—radiology, pathology, histopathology, including X-ray, CT, MRI, ultrasound, etc\n\n✅ Use **AI assistance** to make annotators **10x faster**\n\n✅ Enable customizable clinical workflows with multi-stage reviews & annotations\n\n✅ Ensure **FDA-Ready** annotation versioning, consensus checks, and full audit trails\n\n✅ Track annotator performance in cost, time, and **accuracy** - all built in\n\n### 🤝 The Team\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXctdUlgsBRg891fZ4XU-Ve5trM2bw_h1PYuoQCy0NxrUigEoWMrHYVBO3D3IoAaUC7UPvtDzGxg0C_x2gyO0ujmyJs3_FxtXpLzIVPiUfIZqDKotuf5oeOiGmHyyPRLAzeDm9ORsA?key=Rm0k0m7MflJlURnfdp3zng)\n\nNikhil (left) and Shivesh (right) have been friends since their days at **IIT Bombay**, studying and building together. While working on healthcare AI projects, they experienced firsthand how painful annotation can be especially for large, multi-dimensional medical images that demand extreme accuracy.\n\n[**Nikhil**](https://www.linkedin.com/in/nikhiltiwari-iitb/) (CEO) - Former software engineer at **Stripe, Amazon**, and Marsh McLennan, where he worked on infrastructure, performance optimization, and low-level systems. He graduated from **IIT Bombay** last year, where he led technical initiatives in the student body SARC and built platforms used by 10,000+ students.\n\n[**Shivesh**](https://www.linkedin.com/in/shivesh-gupta-iitb/) (CTO) - Former systems software engineer at **Sony Japan**. He holds an engineering degree from **IIT Bombay**. During his time there, he worked on healthcare AI research and also led the institute’s web and coding club.\n\n## 👋 Our Ask\n\nKnow someone building AI in healthcare whether it’s diagnostic models, clinical trial workflows, or robotic surgery? We’d love to connect.\n\nWe have special offers for academic research, connect us with professors at your university working in healthcare AI!\n\nGot questions or want to chat? Reach out anytime at [founders@frekil.com](mailto:founders@frekil.com) !\n\nOr book a call directly at https://calendly.com/nikhil-frekil/30min ",
        "url": "https://www.ycombinator.com/launches/NY7-frekil-scale-ai-for-medical-scans",
        "votes": 607,
        "created_at": "2025-05-19T19:13:41.676Z"
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    "id": 30421,
    "name": "Synthio Labs",
    "slug": "synthio-labs",
    "former_names": [
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    "website": "https://synthiolabs.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "The intelligence layer behind modern life sciences engagement, enabling compliant, continuous conversations across HCPs, patients, and field teams",
    "one_liner": "Agentic AI platform for Pharma GTM teams",
    "team_size": 29,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1744430433,
    "tags": [
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      "Enterprise",
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    "status": "Active",
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    "year_founded": 2024,
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        "user_id": 1974630,
        "full_name": "Supreet Deshpande",
        "title": "Founder/CEO",
        "founder_bio": "Building AI Agents for Life Sciences. Seasoned leader with over a decade at the intersection of AI/ML and life sciences, delivering AI solutions across the pharmaceutical value chain (Ex-McKinsey, Ex-ZS)\n\nPreviously led \"Gen AI for Life Sciences\" initiatives at McKinsey; have worked with top 50 pharma companies and biotechs to implement AI applications. Worked across teams - from Clinical Development and Medical Affairs to Commercial.",
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        "full_name": "Sahitya Sridhar",
        "title": "Founder",
        "founder_bio": "Building AI Agents for Life Sciences GTM at SynthioLabs. Previously built scalable AI systems for content personalisation and TTS at Audible. Led developer efficiency Gen AI initiatives for teams at Audible.\n\n",
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        "user_id": 1674619,
        "full_name": "Rajashekar Vasantha",
        "title": "Founder/CTO",
        "founder_bio": "Building AI agents for Life Sciences @ SynthioLabs. Previously AI research at AWS and NYU CDS.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rajashekar-v",
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        "id": 93710,
        "title": "Software Engineer - AI",
        "url": "https://www.ycombinator.com/companies/synthio-labs/jobs/Vd4zX2N-software-engineer-ai",
        "location": "IN / Remote (IN)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$15K - $25K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
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          "Bash/Shell",
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          "Node.js",
          "PostgreSQL",
          "Python",
          "Docker"
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      },
      {
        "id": 95129,
        "title": "Forward Deployed Engineer - Product",
        "url": "https://www.ycombinator.com/companies/synthio-labs/jobs/lXwyZPN-forward-deployed-engineer-product",
        "location": "San Francisco, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "id": 95130,
        "title": "Forward Deployed Engineer - Tech",
        "url": "https://www.ycombinator.com/companies/synthio-labs/jobs/UMaZCqj-forward-deployed-engineer-tech",
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        "type": "Full-time",
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        "experience": "Any (new grads ok)",
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        "title": "GTM / Growth Lead",
        "url": "https://www.ycombinator.com/companies/synthio-labs/jobs/cXIdJes-gtm-growth-lead",
        "location": "San Francisco, United States",
        "type": "Full-time",
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        "role_type": null,
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        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "id": 95133,
        "title": "Head of Business Development & Partnerships",
        "url": "https://www.ycombinator.com/companies/synthio-labs/jobs/evhFwmX-head-of-business-development-partnerships",
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      {
        "title": "Synthio Labs Bags $5 Mn To Provide Voice AI To Life Sciences Industry",
        "url": "https://inc42.com/buzz/synthio-labs-bags-5-mn-to-provide-voice-ai-to-life-sciences-industry/",
        "date": "Nov 19, 2025"
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      {
        "id": 89991,
        "title": "SynthioLabs: World's First AI Medical Expert for Pharma GTM Teams",
        "tagline": "We scale your physician engagement - zero headcount added",
        "body": "👋 Hey everyone,\n\nWe’re [Supreet](https://www.linkedin.com/in/supreetdeshpande/), [Raj](https://www.linkedin.com/in/rajashekar-v/) and [Sahitya](https://www.linkedin.com/in/sahitya-sridhar/) - the team behind [SynthioLabs](https://www.synthiolabs.com/), and we’re building the **world’s first AI Medical Expert for Pharma GTM teams**.\n\n**Our Vision:** Reimagine how pharma engages with its most important stakeholders - physicians and patients\n\n**TL;DR**\n\n💡 Our always-on **_AI medical expert_** delivers **_compliant, accurate, and science-first engagement_** to every physician.\n\nWe help pharma GTM teams **3x their physician reach** while ensuring every interaction is medically accurate and personalized.\n\n**🎥 See us in action:**\n\n<https://youtu.be/OoJA5R0y9EQ>\n\n**🚨 Why now?**\n\nPharma’s current model is falling short - despite extensive sales teams, most doctors remain unengaged by pharma\n\n→ **7 out of 10 oncologists** report no meaningful touchpoints with pharma\n\n→ **Long-tail physicians (50–60%)** often receive little to no engagement from pharma reps\n\n→ Many physicians express a **need for deeper scientific insight and relevant medical knowledge**, rather than generic promotional outreach\n\nWith SynthioLabs, you can engage every physician, not just the top tier. No sales reps? No problem, we scale your team instantly.\n\n**🧠 What SynthioLabs does:**\n\n✅ Identifies and screens physicians\n\n✅ Engages in compliant, medical discussions\n\n✅ Educates on clinical guidelines and evidence\n\n✅ Books follow-ups with your medical and sales teams\n\n**📡 The Synthio Polaris Platform for Physician Engagement**\n\nWe’re building more than just one agent. Our platform lets you design intelligent AI agents — medical experts, nurse educators, field partners to **_transform how you engage physicians_**.\n\n**👥 About us**\n\nWe’re ex-McKinsey, ex-ZS, and AI researchers from Amazon.\n\nWe’ve worked with 10 of the top 20 pharma companies and bring over a decade of experience in life sciences, strategy, and AI.\n\n🔍 Want to see it in action?\n\n→ Visit [synthiolabs.com](http://synthiolabs.com)\n\n→ DM us or drop your email to book a demo\n\n→ Know someone in a life science commercial or marketing team? Share this post with them **🙏**\n\n🧠🤝 **Lets redefine how pharma connects with physicians!**\n\n— Supreet, Sahitya and Raj\n\n![uploaded image](/media/?type=post&id=89991&key=user_uploads/2574477/6c23b06e-63e5-4d3f-bfd5-5e65b2a02bfb)\n\n",
        "url": "https://www.ycombinator.com/launches/NPT-synthiolabs-world-s-first-ai-medical-expert-for-pharma-gtm-teams",
        "votes": 23,
        "created_at": "2025-05-02T18:40:34.977Z"
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    "id": 30422,
    "name": "Galen AI",
    "slug": "galen-ai",
    "former_names": [
      "Stitch",
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        "id": 90700,
        "title": "Galen 🩺 AI Healthcare Agent for Patients",
        "tagline": "Get 24/7 personalized medical insights from your clinical records and wearables data",
        "body": "👋 Hey, I’m [Viraj](https://www.linkedin.com/in/virajmehta28/), and along with my cofounder [Priyanka](https://www.linkedin.com/in/priyanka-shrestha-/) I’m excited to introduce Galen AI!\n\n**TL;DR:** Galen is your on-demand AI healthcare assistant, securely connecting all your health data to provide highly personalized support.\n\nhttps://youtu.be/sTh-Af8mAx4\n\n**Our Main Ask:** if you want to stay on top of your health, join our [waitlist](https://getwaitlist.com/waitlist/28135) and keep an eye out for our upcoming App Store launch!\n\nCan’t wait get started? Email us at [founders@galenai.com](mailto:founders@galenai.com) to join our private beta and start getting health insights today!\n\n**💥 The Problem**\n\nFor 4+ years now, I’ve struggled to navigate several chronic low back conditions. I often waited weeks for responses from my care team, received little guidance about new diagnoses, and felt overwhelmed trying to manage overlapping conditions and medications.\n\nI found myself turning to ChatGPT. A lot. And quickly, Priyanka and I realized my experience is not unique…it’s the norm. Our healthcare system is overloaded and fragmented, doctors are pressed for time, and patients are expected navigate the majority of it alone.\n\nIncreasingly, **patients are trusting LLMs with their health questions**, but these tools weren’t built to understand a person’s full clinical history, wearable data, and evolving health context, so they fall short of delivering truly personalized insights.\n\n**🧠 Our Solution**\n\nMeet Galen AI — our AI-powered solution to make high-quality, personal medical support accessible to everyone. No more screenshotting your records and uploading them to ChatGPT. No more WebMD rabbit holes about your symptoms. No more waiting months for your next doctor’s appointment.\n\n![uploaded image](/media/?type=post&id=90700&key=user_uploads/1833511/b89751e0-80e4-479d-aa23-bf7209579b13)\n\n**All Your Medical Data in One Place**\n\nGalen securely integrates with **Apple HealthKit** to connect directly to your medical records, allowing you to unify health data from all your providers and institutions in one place.\n\nIt also syncs with your **Apple Watch** to bring in daily fitness and activity data, with support for **20+ additional wearables** coming soon.\n\nAs you share new symptoms and health updates, Galen **keeps track** and **continuously learns** about your evolving needs, providing long-term support.\n\n![uploaded image](/media/?type=post&id=90700&key=user_uploads/1833511/cc5d7b50-ea97-4b63-926e-92bb25049ead)\n\n**Talk to Your Health Data**\n\nOnce your records are connected, you can:\n\n* Receive clear, **comprehensive summaries** of your medical history\n* Ask questions about and **uncover patterns** in your health data\n* **Understand new symptoms** in the context of your existing conditions\n* **Receive tailored insights** about medication side effects or interactions, comorbidities, and treatment impacts\n\n🌲 **Meet the Team!**\n\nWe met working on a class project at Stanford and haven’t stopped building together since.\n\nPriyanka, originally pre-med, conducted clinical and biocomputation research at Stanford SAIL, Cleveland Clinic, and UCLA, and worked as a software engineer at Roche. I worked as an engineer at Optiver and quantitative trader at IMC Trading before developing a strong interest in healthcare through my personal experiences.\n\nWe both pursued a BS/MS in Computer Science from Stanford and have collaborated on several AI and healthcare projects, including a mobile app for cancer patients with the Stanford Center of Biodesign.\n\n![uploaded image](/media/?type=post&id=90700&key=user_uploads/1833511/5c75bcc2-45d3-4189-a648-772afed8244d)\n\nWe’d love to hear from you; please reach out if you want to chat → [founders@galenai.com](mailto:founders@galenai.com). Thank you!",
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        "location": "New York, NY, US",
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        "id": 90010,
        "title": "Claim Health - AI revenue platform for at-home care providers",
        "tagline": "We're making at-home care billing a one-click process",
        "body": "Hello world! We are [Kevin](https://www.linkedin.com/in/kevincalcado/) and [JJ](https://www.linkedin.com/in/jayenram/) - co-founders of Claim Health, the first AI revenue platform for at-home care. Check out our demo [here](https://youtu.be/NBpZhDoU134):\n\n**The Problem**\n\nHealthcare billing teams are drowning in red tape with ever-changing insurance rules, very manual processes, and siloed data streams.\n\nWe counted 158 clicks to submit a single claim with one of our first customers!\n\n![](https://media3.giphy.com/media/v1.Y2lkPTc5MGI3NjExNW16bnJybDd0anpsY3luNG5kbGE4dzBwczJvZWhtZXFteWt0MjhrNyZlcD12MV9pbnRlcm5hbF9naWZfYnlfaWQmY3Q9Zw/xUPGcoTKhfDvStjxMA/giphy.gif)\n\nIn our conversations with at-home care providers (think nursing homes, home health, home care, and hospice) providers, Kevin and I kept hearing that “getting money in the door” was the single thing preventing agencies from growing. \\\n\\\nMany home health and home care agencies have to literally say no to patients who need care.\n\n![uploaded image](/media/?type=post&id=90010&key=user_uploads/545198/3bc40a31-3185-46a7-8fa1-0a4818da0ed3)\n\n**What Claim Health is doing about it**\n\nWe want medical billing to be a **one-click** process. Billers should spend their time making the important decisions and triaging involved in the revenue cycle process.\n\nOur platform surfaces the claims that need attention and automates the submission of the one’s that are routine. In addition, we manage denials by helping billers generate appeal letters and are implementing voice agents to request information enrichment from insurance companies.\n\nOur initial product has been rolled out to early customers and has already\n\n1. turned a 3 day a week billing process to a 2 hour process\n2. found 6 figures in lost revenue from denials and underpayments.\n\nCheck us out at [claimhealth.com](https://claimhealth.com)\n\n**Know a at-home care agency looking to supercharge their revenue operations?** Connect us → [kevin@claimhealth.ai](https://mailto:kevin@claimhealth.ai) / [Book a demo](https://calendly.com/kevin-claimhealth/30min)\n\n— JJ & Kevin",
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        "full_name": "Christopher Chen",
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        "tagline": "We help doctors acquire and schedule more patients",
        "body": "Hey YC! We’re[ Betty](https://www.linkedin.com/in/betchang/) and[ Chris](https://www.linkedin.com/in/chrismychen/), and we’re building[ Trapeze](https://www.trapezehealth.com/).\n\n## **TL;DR**\n\nWe’re already helping hundreds of doctors acquire and schedule more patients with our AI voice agents that handle appointments over the phone (how 88% of patients still schedule today!).\n\nAsk: Do you know any eye care doctors or healthcare administrators struggling with their phone calls? Email [betty@trapezehealth.com](mailto:betty@trapezehealth.com). \n\n\\\nhttps://www.youtube.com/watch?v=8ExU-yIiIpg\n\n## **Problem**\n\n61% of patients miss out on essential appointments each year due to scheduling hassles, costing our healthcare system $280B annually. \n\nWe’re starting by tackling where 88% of patient appointments are scheduled and managed today: the phone.\n\nDoctors have a hair-on-fire problem managing their call centers and front desks. They’re expensive to run and have high turnover rates, which leads to long hold times and high abandonment rates — and ultimately lost patients. For example, our customers have the call center as a multi-million dollar annual expense, and are seeing 20%+ abandonment rates.\n\n## **Solution**\n\nTo solve this, we’re building AI voice agents that can be deployed to act as a doctor’s best scheduler with:\n\n* Our scheduling rules engine structuring doctor-specific rules across .pdfs, EHRs, paper, tribal knowledge\n* AI voice agents that handle intake, insurance verification, and slotting integrated with the EHR and telephony system\n* Admin portal and dashboard that provides visibility into patient call resolution gaps\n\n## **Team**\n\nThe Trapeze founding team has spent their careers solving patient and doctor problems:\n\n* [Betty](https://www.linkedin.com/in/betchang) was the first business hire at Capable Health, where she managed 100+ specialty clinics, built out their patient scheduling and engagement strategies, and closed their first $1M ARR.\n* [Chris](https://www.linkedin.com/in/chrismychen) was the 8th employee and founding engineer at Vanta and then tech lead at Medallion where he built and scaled back office automations for healthcare enterprises like Oak Street Health and VillageMD.\n\n  ![uploaded image](/media/?type=post&id=91135&key=user_uploads/269853/9a8e41dc-4c9a-4efa-8c4c-d3d478799322)\n\n\n## **Our Ask**\n\n* Follow us on[ LinkedIn](https://www.linkedin.com/company/trapezehealth/) and[ TikTok](https://www.tiktok.com/@trapezehealth)!\n* Do you know any eye care doctors or healthcare administrators? Share our post!\n* Check us out at[ trapezehealth.com](http://trapezehealth.com)\n\n ",
        "url": "https://www.ycombinator.com/launches/Nhv-trapeze-ai-scheduling-agents-for-healthcare",
        "votes": 42,
        "created_at": "2025-06-09T06:07:57.116Z"
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    "name": "Lucis",
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        "url": "https://tech.eu/2026/05/26/lucis-raises-20m-series-a-to-expand-ai-driven-preventive-healthcare-platform/",
        "date": "May 26, 2026"
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        "url": "https://tech.eu/2025/12/16/lucis-closes-85m-seed-round-for-preventive-healthcare-in-europe/",
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      {
        "id": 90454,
        "title": "Lucis - Live 100 healthy years from a simple blood test",
        "tagline": "Lucis turns regular blood tests into actionable health insights",
        "body": "Hey YC [👋](https://emojipedia.org/waving-hand)\n\nWe’re [Max B](https://www.linkedin.com/in/maximeberthelot/), [Baptiste](https://www.linkedin.com/in/bdebever/), and [Max G](https://www.linkedin.com/in/maxguerois/) - co-founders of [Lucis](https://www.lucis.life/).\n\n### **TL;DR**\n\n**Lucis turns regular blood tests into actionable health insights - so people can act before it’s too late.** In 4 months, we’ve helped 500 people in Paris get ahead of chronic diseases. Today, we’re expanding across Europe.\n\nhttps://youtu.be/a5fX1K5hnvU\n\n### **The Problem In Europe**\n\n85% of deaths are caused by preventable chronic diseases. That’s more than 4 million lives lost every year just in Europe. Yet, the healthcare system remains reactive, and people receive care only after something goes wrong.\n\nThose seeking comprehensive preventive care, including blood testing, analysis, and expert guidance, typically resort to private longevity clinics that charge over €50K per year. **Such premium healthcare remains inaccessible to the vast majority of people.**\n\n### **Lucis: Health Insights in Your Pocket**\n\n_“If you're tired of being in the dark about your health, not knowing where you stand or what to do next, Lucis is built for you.”_\n\nLucis goes beyond vague checkups and unreadable lab reports. It provides a clear health baseline, tracks progress over time, and translates complex biomarker data into personalized guidance people can actually implement in their daily lives. All at a fraction of the cost of a private clinic.\n\nYou’ll get answers to questions like:\n\n_\"Am I aging faster than I should?\"_\n\n_\"Is my testosterone at a healthy level for my age?\"_\n\n_\"How can I improve my next marathon performance?\"_\n\n![uploaded image](/media/?type=post&id=90454&key=user_uploads/1454634/0a347d82-7c9b-4fef-8c72-bf70511ce761)\n\nHere’s how it works:\n\n* 2 full health check-ups per year\n* See how your body’s doing with 15 health scores and your biological age - and track your progress over time.\n* Personalized action plan across nutrition, sleep, and movement\n* Access to longevity add-on tests, like microbiome, continuous glucose monitoring, and food sensitivity tests.\n\n### **The Team**\n\nWe started Lucis because we’ve lived the problem ourselves.\n\nBaptiste lost a close relative to a condition that could’ve been caught earlier. Max B has spent the last decade deep in biohacking, testing everything from supplements to wearables. At 27, Max G turned his health into an experiment - tracking sleep, diet, and training - and improved nearly all of his biomarkers in the process. We know what it’s like to search for clarity and get none.\n\n**Lucis is what we wish we had - and now, we’re building it for everyone else.**\n\n![uploaded image](/media/?type=post&id=90454&key=user_uploads/1454634/830d7470-4a85-446e-b427-38ec7343d441)\n\n### **Since launching our beta just 4 months ago:**\n\n* **30,000+ people** have joined our European longevity community.\n* **30+ lab locations** opened across France\n* **2 new European cities** - now live in Lisbon 🇵🇹 and London 🇬🇧\n* **500+ people in Paris** used Lucis to get ahead of chronic illness\n* **10 AI Startups** have gifted Lucis as a health benefit for their employees\n\n## \n\n### **Our Vision**\n\n**Lucis isn’t just a product - we’re building a completely new healthcare system in Europe.** One that lives with you. And works for you quietly, every day.\n\nWe started with blood, but our ambition goes far beyond a single input. We are building Lucis, the intelligence layer for your health. Right in your pocket.\n\n### **Ask**\n\nIf this resonates with you\n\n* Know someone in Europe who wants to live 100 healthy years? Use **“YCHEALTHY5”** for a 5% discount at checkout. 👉 [Lucis for you](https://www.lucis.life/)\n* Want to gift Lucis to your employees? 👉 [Lucis for Startups](https://www.lucis.life/for-startup)\n* For anything else, contact us at [founders@lucis.life](mailto:founders@lucis.life)\n\n![uploaded image](/media/?type=post&id=90454&key=user_uploads/1454634/6e40d23b-ed02-4d06-809b-20c4c1bb48fc)\n\n",
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        "full_name": "Mathieu Rihet",
        "title": "Founder/CEO",
        "founder_bio": "Emory University Scholar. Previously a medical interpreter. Building AI employees to automate 99% of manual workflows in medical clinics.",
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        "founder_bio": "Always take small steps in the right direction. Building Novoflow to solve healthcare interoperability in the next 5 years.",
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        "title": "Founding DevOps Engineer",
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        "id": 90451,
        "title": "Novoflow - The next-generation AI call center for the healthcare industry",
        "tagline": "AI receptionist that automates phone calls for medical clinics. ",
        "body": "Hey everyone 👋\n\nWe’re **Georges and Mathieu — co-founders of Novoflow**.\n\n### **TL;DR**\n\nNovoflow’s multilingual voice agent answers every inbound & outbound call, schedules directly inside any EHR (Epic, Athena, Medent—even 1990s HL7 feeds), and slashes no-shows. Clinics can reclaim **up to $50k/month** on average in missed revenue without hiring another receptionist.\n\nhttps://youtu.be/LQA-QeiY_F4\n\n### **❌ The Problem**\n\nThe old reception model is breaking. Outsourced call centers, dead-end IVRs, and half-integrated schedulers still miss 42% of patient calls. Each unbooked physician hour stacks into a $50,000 monthly loss in revenue per average independent clinic. Medical practices are stuck because decade-old and proprietary EHRs can’t accept real-time integrations from next-gen solutions.\n\n### **🏥 Our Solution**\n\n**Full-stack AI receptionist**\n\n1. **24 / 7 voice AI** greets patients in 25+ languages, verifies insurance, and classifies intent in real-time.\n2. **Universal EHR plumbing** writes, reschedules, or cancels appointments natively inside any system.\n3. **One-hour go-live**: point our SIP trunk at the clinic’s number—no new phones, no code.\n4. **Dashboard & KPIs**: abandonment, call-to-appointment conversion, provider utilization, no-show rate.\n\nEarly adopters project a **10% jump in provider utilization** and a **22% lift in call-to-appointment conversion**—with happier patients to match.\n\n### **🙏 Our Ask**\n\n* Know an independent clinic, multi-specialty group, or surgery center bleeding revenue to missed calls?\n* Have friends or family running front-desk operations that need multilingual coverage?\n* Want to beta-test features like outbound recall automation or balance-due collection?\n\n👉 Intro us! We’re only onboarding **3 more clinics this month**.\n\n[mathieu@novoflow.io](mailto:mathieu@novoflow.io) | [georges@novoflow.io](mailto:georges@novoflow.io)\n\n### **Why We’re Building This**\n\nWe spent two years as French & Spanish medical interpreters. Receptionists called us after hours because patients couldn’t communicate, and clinics lost money while care was delayed. We realized **voice AI + universal EHR integration** could fix the bottleneck for the 100k+ clinics still trapped by legacy software.\n\n### **👬 The Team**\n\n* **Georges** – CMU engineer and in the voice AI agent space for 5+ years.\n* **Mathieu** – Emory University Scholar, ex-medical interpreter, been in the healthcare space for 2+ years\n\n![uploaded image](/media/?type=post&id=90451&key=user_uploads/1763646/7ced6963-dce3-4c84-8854-0c11fbe5cf2f)\n\nWe fly on-site, launch the same week, and target **$40k+ monthly savings** per clinic.\n\nThanks for reading — tear apart our approach, ask tough questions, or just say hi!",
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        "full_name": "Dmitry Karpov",
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        "founder_bio": "Founder WorkDone, we find and fix mistakes in medical documentation before they become problems for insurance claims or patient lawsuits ",
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        "user_id": 405697,
        "full_name": "Sergey Yudovskiy",
        "title": "Founder/CPO",
        "founder_bio": "2x YC Founder. Building Adentris to bring AI-driven systems into healthcare operations - a personal mission inspired by the legacy of my fully medical family. As a mathematician, I bring a data-driven, systems approach to product development and GTM strategy.\n\nPreviously, I led ElectroNeek (W20) as CEO, scaling it to ~$5M ARR. Built a global B2B distribution and partnership network across 30+ countries (North & South America, Europe, Asia), and disrupted the RPA market with a novel GTM playbook.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/yudovskiy",
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    "jobs": [
      {
        "id": 106477,
        "title": "Director of Product, RCM Services, Healthcare",
        "url": "https://www.ycombinator.com/companies/adentris/jobs/z2nYYnN-director-of-product-rcm-services-healthcare",
        "location": "Austin, TX, US / Denver, CO, US / Phoenix, AZ, US / Reno, NV, US / Los Angeles, CA, US",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$150K - $200K",
        "equity_range": "0.50% - 2.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
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    ],
    "news": [
      {
        "title": "\n  Adentris Completes Major AI Compliance Deployment at Sobrius, Putting Over 100 Active SUD Patients Under Review\n  \n",
        "url": "https://www.einpresswire.com/article/913893048/adentris-completes-major-ai-compliance-deployment-at-sobrius-putting-over-100-active-sud-patients-under-review",
        "date": "May 20, 2026"
      },
      {
        "title": "\n  Adentris Expands AI Platform with Five New Modules Covering the Full Revenue Integrity and Compliance Workflow\n  \n",
        "url": "https://www.einpresswire.com/article/913896386/adentris-expands-ai-platform-with-five-new-modules-covering-the-full-revenue-integrity-and-compliance-workflow",
        "date": "May 20, 2026"
      },
      {
        "title": "\n  Adentris Selected for Creative Destruction Lab Computational Health Program to Scale AI-Driven Compliance in Healthcare\n  \n",
        "url": "https://www.einpresswire.com/article/860152482/adentris-selected-for-creative-destruction-lab-computational-health-program-to-scale-ai-driven-compliance-in-healthcare",
        "date": "Oct 21, 2025"
      },
      {
        "title": "\n  WorkDone Health Rebrands as Adentris and Launches Acute Care Solution for Real-Time Quality and Compliance Monitoring\n  \n",
        "url": "https://www.einpresswire.com/article/850341659/workdone-health-rebrands-as-adentris-and-launches-acute-care-solution-for-real-time-quality-and-compliance-monitoring",
        "date": "Sep 18, 2025"
      }
    ],
    "launches": [
      {
        "id": 90201,
        "title": "Adentris – AI compliance autopilot 👨‍⚕️ for hospitals and clinics 🏥",
        "tagline": "Adentris helps hospitals avoid denials, audits, and fines by catching and fixing documentation errors in real time.",
        "body": "Hi! We’re [Dmitry](https://www.linkedin.com/in/dmitrykarpov/), [Sergey](https://www.linkedin.com/in/yudovskiy/), and [Alex](https://www.linkedin.com/in/odinalex/) — co-founders of [Adentris](https://www.adentris.com/).\n\n**TL;DR:**\n\nEvery year, **250 million insurance claims — worth billions of dollars — are denied due to documentation errors**. Many are never recovered. We connect directly to hospital EHRs, monitor clinical staff activity logs in real time, and use AI agents to detect and fix compliance issues before they become risks. **Since the beginning of YC, we’ve reached $54k ARR** and have a growing number of commercial pilots with hospitals and clinics across the U.S. and PoCs with healthcare enterprises.\n\nhttps://www.youtube.com/watch?v=PrcEY8WgmSk\n\n**Problem:**\n\nOne small documentation mistake — like recording a medication time incorrectly — can destroy a family’s finances.\n\nThese errors are often made by exhausted clinicians after 12-hour shifts and are caught by automated insurance systems that instantly deny the claim.\n\n**Hospitals don’t discover the problem until it's too late** — after the claim is denied, the audit triggered, or the reputation damaged.\n\nDocumentation errors are the invisible threat in modern healthcare. They’re not caused by negligence, but by broken systems: cluttered interfaces, overworked staff, and legacy EHRs that make it easy to click the wrong time, forget a discharge note, or miss a required signature.\n\n**And it’s not just claims** — these small errors lead to failed audits, regulatory fines, delayed discharges, and increased burnout.\n\nHospitals end up with compliance teams that are reactive — chasing mistakes days or weeks after they happened, often without resolution. The cost isn’t just money. It’s morale, trust, and patient safety.\n\n**Solution:**\n\nAdentris is an AI compliance autopilot that prevents small documentation errors from becoming costly disasters in real time.\n\nWe integrate directly with hospital EHRs, monitor clinical activity in real time, and use AI agents to detect and fix issues — like missed discharge notes or wrong medication times — before they trigger claim denials or audits.\n\nWhen a problem is found, our AI opens a quick conversation with the responsible staff member to confirm and correct it immediately.\n\n**We don’t just alert**. We resolve — and help hospitals run smoother, reduce pressure on teams, and recover revenue that would otherwise be lost.\n\n**What Experts Are Saying:**\n\n\"Adentris’s proactive approach is a game‑changer in reducing preventable errors and enabling real‑time accountability in care delivery.”\n\n— [Joel N.H. Stern, PhD](https://www.linkedin.com/in/joel-n-h-stern-07a4342/)\\\nProfessor of Neurology & Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell\n\n**Team:**\n\n[Dmitry](https://www.linkedin.com/in/dmitrykarpov/) (CEO) and [Sergey](https://www.linkedin.com/in/yudovskiy/) (CPO) are second-time YC founders with a strong track record in building B2B enterprise products and go-to-market channels. Sergey comes from a full medical family and has deep personal ties to the problems we're solving in healthcare. [Alex](https://www.linkedin.com/in/odinalex/), (CTO), is a seasoned engineer who built apps used by 25M+ people worldwide and led the development of a full AI agent architecture at his previous multimillion-dollar startup.\n\n**Asks:**\n\nWe're actively looking to connect with:\n\n* **Hospital executives and clinic owners** who want to stop losing revenue to preventable compliance errors and team burnout \n* **Providers' CFOs and compliance leaders** who are tired of fighting with clinical staff over documentation and want a system that just works\n* **Medical institution advisors and operators** who care about transforming broken workflows\n* **Reporters and storytellers** covering the untold side of healthcare — the back office chaos that leads to financial disaster\n\nIf you're building, reporting on, or fighting to fix this problem — DM us, email us at [founders@wrkdn.com](mailto:founders@wrkdn.com), or grab 15 minutes with us here [Book a call](https://calendly.com/d/cnpv-x29-nzc/workdone-demo).\n\nLet’s save healthcare from the inside out.",
        "url": "https://www.ycombinator.com/launches/NSr-adentris-ai-compliance-autopilot-for-hospitals-and-clinics",
        "votes": 345,
        "created_at": "2025-05-08T14:04:33.170Z"
      }
    ]
  },
  {
    "id": 30533,
    "name": "Pelica",
    "slug": "pelica",
    "former_names": [
      "Cue",
      "Delty AI",
      "Delty"
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    "website": "https://www.pelica.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Pelica helps risk-bearing healthcare organizations improve quality performance, close care gaps, and lower administrative cost using specialized AI agents. Built for health plans, IPAs, MSOs, ACOs, and risk-bearing medical groups, Pelica unifies claims, EHR, pharmacy, lab, and ADT data into one live member record, then gives quality, risk adjustment, pharmacy, provider network, and care management teams agents that carry work through to completion. Pelica currently serves more than 350,000 members.",
    "one_liner": "AI agents for risk-bearing healthcare organizations",
    "team_size": 5,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1746945144,
    "tags": [
      "B2B",
      "Healthcare",
      "Healthcare IT",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
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      "Healthcare IT"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
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    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/pelica",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/pelica.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/pelica-health",
    "x_url": "https://x.com/pelica_ai",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 1494518,
        "full_name": "Lalit Kundu",
        "title": "Founder/CEO",
        "founder_bio": "building healthcare's AI operating system\n\nPreviously grew to Staff Engineer at Google within 6 years, where I led a 45+ engineer org to deliver $XX-B ARR solutions. Before that, I built core payments infrastructure for Google Pay India.\n\nProgrammer at heart, ACM-ICPC World Finalist and coach for India’s IOI team (8 medals).",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/lalitkundu",
        "x_url": "https://x.com/lalitkundu_lk",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c49bb02edfac8334428f26fd9054e287fbf8eb19.jpg"
      },
      {
        "user_id": 365863,
        "full_name": "Catherine Zhao",
        "title": "Founder/COO",
        "founder_bio": "Building Pelica.\n\nPrev Google APM & SWE (building YouTube, ChromeOS, image & video GenAI infra, enterprise AI agents). Always volunteering in healthcare (clinical research, memory care, medical assistant at a free clinic). And the first job I ever got paid to do was a caricature artist at an amusement park!",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/cat-catherine-zhao",
        "x_url": "http://x.com/cthrnzh",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b8e37abb070b42100857cbdd9d26a87ead838541.jpg"
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      {
        "id": 103962,
        "title": "Pelica: the AI operating system for value-based care",
        "tagline": "AI agents that capture the risk, close the gaps, and make the calls, so small teams can keep whole populations healthy.",
        "body": "Hey everyone 👋 We’re Lalit and Catherine, co-founders of Pelica Health.\n\n## **TL;DR**\n\nPelica is the AI operating system for value-based care. We pull claims, EHR, pharmacy, lab, and hospital feeds into **one canonical record**, then run AI copilots that read and write to it: risk adjustment, Stars and quality, pharmacy, provider network, and care management, plus an AI data analyst you can ask anything in plain English. The copilots **do the operational work themselves**: capturing HCCs in real time, closing gaps once across every payer, and making outreach calls in the member’s language. HIPAA-compliant, SOC 2 Type II, and RADV-defensible.\n\nWe’re live with a physician-led IPA in New York, one of the largest independent medical groups in the Northeast: **2,500+ hours saved** and higher CMS Star Ratings so far.\n\n▶️ Watch their story: <https://youtu.be/2CGmyif9Yd4>\n\n![uploaded image](/media/?type=post&id=103962&key=user_uploads/1494518/e873acc4-f206-4eca-8617-9bf7f70f3b62)\n\n_An AI agent works one gap end to end: provider office, pharmacy, the member in their language, the payer portal, then a live call. Closed in 3 minutes of staff time._\n\n## **🚩 The problem**\n\nValue-based care pays a medical group or health plan to keep a whole population healthy, and billions in CMS bonuses ride on it. The teams who own those contracts decide whether the org makes money, and they cannot operate:\n\n• Their data lives in 8 to 15 systems. By the time a problem surfaces, the submission window has closed.\n\n• Risk calls a member. Quality calls the same member. The practice calls again, sometimes in a language the member doesn’t speak.\n\n• The best predictive model is worthless if it never reaches the provider.\n\n• The rules keep moving. Hybrid HEDIS is retiring into ECDS volumes many times higher per measure, and the V28 phase-in costs the average MA plan about 3% of RAF.\n\nEvery new gap gets a new point vendor, each with its own portal, data model, and login. These teams do not need another point tool. They need an operating system.\n\n## **🛠️ What we built**\n\nOne canonical record, with an AI workforce next to every team. Six copilots:\n\n• **Risk Adjustment:** real-time HCC capture with trumping logic and RADV-defensible chain of custody on every code.\n\n• **Quality and Stars:** gap closure unified across every payer, with year-round forecasting for the post-hybrid HEDIS world.\n\n• **Pharmacy and Part D:** PDC lift on the three triple-weighted measures that move Stars the most.\n\n• **Provider Network:** auto-built practice agendas that cut meeting prep from 90 minutes to 15.\n\n• **Care Management:** ADT-driven transitions-of-care worklists, with no duplicate calls across teams.\n\n• **AI Data Analyst:** plain-English questions against the record, in place of the BI ticket queue.\n\n![uploaded image](/media/?type=post&id=103962&key=user_uploads/1494518/13a2d9aa-5ac8-4ab4-bf2c-b61fe8bccb56)\n\n_Risk Adjustment: the agent works the EHR and payer portals like a person and captures a defensible HCC._\n\n![uploaded image](/media/?type=post&id=103962&key=user_uploads/1494518/cfb57b8c-bf75-43d1-9dc3-d29da891d8e9)\n\n_AI Data Analyst: ask your RAF in plain English, get an answer and a chart in seconds._\n\n![uploaded image](/media/?type=post&id=103962&key=user_uploads/1494518/4bbf9afb-abc0-4221-9e5b-bf4602654e32)\n\n_Provider Network: reps walk in prepped, and the visit is captured into tasks automatically._\n\nIt runs on the systems VBC teams already use: Epic, Cerner, Athena, eCW, payer SFTP, PBM feeds, ADT, and labs, with SMART-on-FHIR overlays in Epic and Athena. A new source onboards in days, and the copilots start working the day after.\n\n## **📈 Early proof**\n\nThat physician-led IPA went from three uncoordinated calls per member to one outreach, in the right language, that closed three gaps at once. No new headcount. One of their leaders put it simply: “You don’t just get software, you get partners.”\n\n## **👫 Why us**\n\nCatherine and I met at YouTube and have built large-scale systems together since. We saw the same gap from two sides: clinical AI that could not operate, and operations software that could not reason clinically.\n\n• **Catherine** led AI work on Gemini and enterprise agents at Google, did clinical AI research at Stanford School of Medicine, and saw front-line care at clinics in California and New Hampshire. BA in Computer Science from Dartmouth.\n\n• **Lalit** spent 8 years building software for regulated industries at Google and YouTube, most recently as engineering and ML lead on YouTube Payments, running a 45-person team on products driving $16B+ in revenue. Wharton MBA, ACM-ICPC World Finalist.\n\nBacked by Y Combinator, SurgePoint Capital, Upside Partnership, ISEED Ventures, and Progressive Ventures.\n\n## **🙏 Our ask**\n\n• Warm intros to VPs of Risk Adjustment, Stars, Quality, or Pharmacy at MA plans, IPAs, MSOs, or ACOs.\n\n• Intros to ACO executive directors running MSSP or REACH.\n\n• If you run risk-bearing contracts at a health plan, IPA, MSO, ACO, or medical group, email [lalit@pelica.com](mailto:lalit@pelica.com) or book a demo at cal.com/pelica/pelica.\n\nFollow us on [LinkedIn](https://www.linkedin.com/feed/update/urn:li:activity:7475922350316732416/) and [X](https://x.com/cthrnzh/status/2070159740295160294), and learn more at [pelica.com](http://pelica.com).",
        "url": "https://www.ycombinator.com/launches/R2o-pelica-the-ai-operating-system-for-value-based-care",
        "votes": 7,
        "created_at": "2026-06-25T15:23:01.235Z"
      },
      {
        "id": 90407,
        "title": "Pelica - the operating system for value-based care",
        "tagline": "Transform Value Based Care with AI Agents",
        "body": "Hey everyone 👋 we're [Lalit](http://linkedin.com/in/lalitkundu) &amp; [Catherine](http://linkedin.com/in/cat-catherine-zhao), co-founders of [Pelica Health](https://pelica.com).\n\n## TL;DR\n\n**🚀 Pelica is the operating system for value-based care.** One canonical record across claims, EHR, pharmacy, lab, and ADT, with six AI copilots reading and writing to it. Risk adjustment, Stars, pharmacy, network, care management, plus an AI Data Analyst. HIPAA-compliant, RADV-defensible, real-time.\n\nUse Pelica to:\n\n* Capture HCCs in real time, before the submission window closes\n* Close Stars gaps once, across every payer, with no duplicate outreach\n* Lift PDC on the three triple-weighted measures that move Stars more than anything else\n* Replace 8 to 15 point vendors with one shared record\n* Cut per-practice meeting prep from 90 minutes to 15\n\n**VBC teams using Pelica run risk, quality, pharmacy, and care management from one record**. A physician-led IPA in New York went from three uncoordinated calls per member to one outreach in the right language that closed three gaps at once. No new headcount.\n\nIf you run risk-bearing contracts at a health plan, IPA, MSO, ACO, or medical group, email [lalit@pelica.com](mailto:lalit@pelica.com) or book a demo at [cal.com/pelica](https://cal.com/pelica/pelica-demo).\n\n## 🚩 The Problem\n\nVBC teams own the contracts that decide whether the org makes money. They cannot operate. Today:\n\n* Data lives in 12 places. By the time a problem surfaces, the submission window has closed.\n* Risk calls a member. Quality calls the same member. The practice calls again. Sometimes in a language the member doesn't speak.\n* The best predictive model is useless if it never reaches the provider.\n* Hybrid HEDIS is retiring. ECDS volumes run 35 to 75 times higher per measure. The old infra was not built for it.\n* V28 phase-in finishes in 2026. The average MA plan loses roughly 3% of RAF.\n\nPoint vendors keep stacking up. One for retrospective coding. One for HEDIS. One for adherence. One for ADT. Each with its own portal, its own data model, its own login.\n\nVBC teams need more than another point tool. They need an operating system.\n\n## 🛠️ Our Solution\n\nWe built Pelica, an AI operating system for value-based care. Three layers, six copilots, one canonical record.\n\n* **🌐 HIPAA + SOC 2 Type II:** Tenant-isolated, encrypted end-to-end, zero-retention with every LLM provider in use.\n* **🔌 Connects to every system:** Epic, Cerner, Athena, eCW, payer SFTP, PBM feeds, ADT, labs. SMART-on-FHIR overlays in Epic and Athena.\n* **⚡ Live in weeks, not quarters:** A new data source onboards in days. Copilots start working the day after.\n\nWhat Pelica can do:\n\n* **🧾 Risk Adjustment Copilot:** Real-time HCC capture with trumping logic, MAO-004 awareness, and RADV-defensible chain-of-custody on every code.\n* **⭐ Quality &amp; Stars Copilot:** Unified gap closure across every payer, with year-round glide-path forecasting for the post-hybrid HEDIS world.\n* **💊 Pharmacy &amp; Part D Copilot:** PDC lift on the three triple-weighted measures. The 5 points that separate 4-star from 2-star.\n* **🤝 Provider Network Copilot:** Auto-generated practice agendas. Meeting prep from 90 minutes to 15.\n* **🏥 Care Management Copilot:** ADT-driven TOC worklists, 5-day follow-up tracking, no duplicate calls across teams.\n* **📊 AI Data Analyst:** Plain-English questions against the canonical record. Replaces the BI ticket queue.\n\nA Director of Risk Adjustment told us: \"**Our data lives in twelve places. By the time we know there's a problem, the submission window has closed**.\" A Stars Program Manager told us: \"We are solving the same problem five times.\" Same root cause. One shared record fixes both.\n\n## 👫 The Team\n\nCatherine and Lalit met at YouTube and have been building large-scale systems together ever since. They saw the same gap from two sides: clinical AI that could not operate, and operations AI that could not reason clinically.\n\n**Catherine led AI work on Gemini and enterprise AI agents at Google**. She did clinical AI research at Stanford School of Medicine and saw front-line patient care at clinics in California and New Hampshire. BA in Computer Science from Dartmouth.\n\n**Lalit spent 8 years building software for regulated industries at Google and YouTube**. He was Engineering and ML lead on YouTube Payments, running a 45-plus person team in Commerce Billing on products driving $16B+ in revenue. Wharton MBA. ACM-ICPC World Finalist.\n\nBacked by Y Combinator, SurgePoint Capital, Upside Partnership, ISEED Ventures, and Progressive Ventures.\n\n![uploaded image](/media/?type=post&id=90407&key=user_uploads/1494518/dc1935e3-d2b0-4d83-9f63-b5cd8ae73e7b)\n\n## Asks\n\n* Intros to VPs of Risk Adjustment, Stars, Quality, or Pharmacy at MA plans, IPAs, MSOs, or ACOs.\n* Intros to ACO executive directors running MSSP or REACH.\n* Follow us on [LinkedIn](https://www.linkedin.com/company/pelica-health), [X](https://x.com/pelica_health), and learn more at [pelica.com](https://pelica.com).",
        "url": "https://www.ycombinator.com/launches/NWB-pelica-the-operating-system-for-value-based-care",
        "votes": 108,
        "created_at": "2025-05-15T04:56:03.275Z"
      }
    ]
  },
  {
    "id": 30557,
    "name": "Aegis",
    "slug": "aegis",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/36103b40de751e5ec5889840f60eec43dc493e69.png",
    "website": "https://aegishealth.us/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Aegis is the all-in-one platform that helps healthcare providers recover lost revenue by automating insurance denial appeals—from intake to resolution. Built for billing teams, healthcare providers and hospitals.",
    "one_liner": "AI Agents to win denied health insurance claims.",
    "team_size": 3,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1745980735,
    "tags": [],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Healthcare IT"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Krishang and Aarav have been roommates for two years and close friends since day one of college, and all 3 of us have been closest friends since freshman year. The idea for Aegis came when Aarav’s anesthesia claim was denied. He spent weeks trying to appeal it—time and energy that should’ve gone toward recovery, not bureaucracy. That’s when we realized how broken the system was. We started building Aegis in February to fix it."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Healthcare providers lose over $260 billion a year to denied insurance claims—and spend another $20 billion just trying to recover that money. It's a massive operational drain that takes time away from patient care and burns out clinical teams.We’re solving this by helping providers focus on care, not red tape. We experienced this problem firsthand and realised how deeply broken the system is—and how little innovation is aimed at fixing it."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "A world where healthcare providers get paid what they’ve earned—quickly, fairly, and without friction. If we succeed, hospitals will have more time and money to invest in care, not paperwork. Providers can focus on healing, not haggling. And patients won’t have to fight to receive health insurance benefits while they are recovering for care."
      }
    ],
    "url": "https://www.ycombinator.com/companies/aegis",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/aegis.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/aegis-yc-x25/",
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        "full_name": "Krishang Todi",
        "title": "Founder/CEO",
        "founder_bio": "Passionate about leveraging AI in healthcare and finance. Currently developing an automated claim-denial appeal generation platform for healthcare providers. Studied economics and computational finance at Carnegie Mellon University prior to building Aegis",
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        "user_id": 1176849,
        "full_name": "Aarav Bajaj",
        "title": "Founder/CTO",
        "founder_bio": "Graduated CS/AI at Carnegie Mellon. Building AI Agents to win denied insurance claims. Previously Co-authored AI research, built an enterprise AI platform for Parsons Corporation, a $7B+ public company, and worked at Palantir.\n\n\n",
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        "user_id": 2684885,
        "full_name": "Dhanya Shah",
        "title": "Founder",
        "founder_bio": "Building AI to fight healthcare insurance denials.",
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        "title": "Y Combinator’s spring 2025 batch features 70 startups focused on agentic AI - The Economic Times",
        "url": "https://economictimes.indiatimes.com/tech/artificial-intelligence/y-combinators-spring-2025-batch-features-70-startups-focused-on-agentic-ai/articleshow/121860763.cms?from=mdr",
        "date": "Jul 01, 2025"
      },
      {
        "title": "10 Most Exciting AI Agent Startups at YC Demo Day Spring Cohort 2025 - Business Insider",
        "url": "https://www.businessinsider.com/y-combinator-yc-demo-day-spring-ai-agent-startups-2025-6",
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      {
        "id": 90624,
        "title": "Aegis - AI Revenue Recovery Engine for Healthcare Providers",
        "tagline": "Aegis automates the process of appealing insurance denials for healthcare providers",
        "body": "We’re [Krishang Todi](https://linkedin.com/in/krishang-todi-a6525b135), [Aarav Bajaj](https://linkedin.com/in/aarav-bajaj-408ab01b1) , and [Dhanya Shah](https://linkedin.com/in/dhanya-shah-97878835b) and we’re building [Aegis.](https://aegishealth.us)\\\n💥 **TL;DR:** \\\nAegis **automates the insurance appeals** **process end-to-end**: from denial detection and compliant appeal generation to submission, tracking, and actionable analytics. We integrate with EHRs, clearinghouses, and payer portals, helping providers and medical billing firms **recover lost revenue and save significant staff time.**\n\n[Launch Video](https://youtu.be/6AYEhYpMjBQ)\n\n\\\n**🩺 The Problem** \\\nUS healthcare providers lose **$260B+** annually to denied claims, and spend **$20B+** fighting them. Yet **fewer than 15%** of denials are appealed - even though **over 50%** of appeals are successful. With AI-driven denials on the rise, the system is collapsing under its own weight.\n\nThe current process of fighting a denial is manual, time-consuming and riddled with inefficiencies. \\\n\\\n🧠 **The Solution** \\\nAegis plugs into a provider’s existing data stack (EHR, PMS, clearinghouses) to:\n\n* **Detect denials automatically:** Aegis continuously monitors claims data streams from your clearinghouse and instantly flags denied claims without requiring manual intervention. These denied claims are then arranged by priority based on deadline and claim value.\n* **Pull patient records, EOBs, and payor docs:** Aegis integrates with the EHR to fetch supporting materials, such as patient records, Explanation of Benefits (EOBs), and payer correspondence.\n* **Generate and submit appeal packages:** Using AI trained on successful appeal language and payer requirements, Aegis drafts customized appeal letters, compiles required documentation, and submits the appeal directly to the insurance provider via appropriate channels (fax, portal, or clearinghouse).\n* **Track appeal progress and surface denial insights:** Aegis provides end-to-end tracking of every appeal, including submission confirmation, status updates, and final resolution. Over time, it also analyzes patterns in denials- by payer, procedure, provider, and code- to help providers take proactive steps to reduce future denial rates.\n\n![uploaded image](/media/?type=post&id=90624&key=user_uploads/2684885/a6415c5b-f49e-407a-ae34-dc0f3af6833e)\n\nWe cut the cost of appealing a denial by **80%** and reduce the time to file an appeal from **2+ hours to under 2 minutes**.\n\n![uploaded image](/media/?type=post&id=90624&key=user_uploads/2684885/65b5d60c-b1ca-4c93-9522-eb4cff454dee)\n\n👥 **Team**\n\nWe’re a team of three close friends from Carnegie Mellon University with deep, complementary expertise across AI, finance, and full-stack development- built for solving complex problems like healthcare claims. Aarav (CS + ML) brings AI research experience and worked at Palantir, where he helped deploy data-driven solutions at scale. Krishang (Econ + Math) did fixed-income risk modeling at one of India’s top funds. Dhanya (IS + CS) is a seasoned full-stack engineer who’s built production systems at three companies. Together, we’re building Aegis to bring automation, intelligence, and trust to healthcare appeals.\n\n![uploaded image](/media/?type=post&id=90624&key=user_uploads/2684885/14e2b315-9c6c-44df-af7a-9debc2a477ae)\n\n**🙏 How You Can Help** \\\nConnect us to:\n\n* CFOs at hospitals / MSOs\n* Healthcare leaders open to advising\n* Independent practice owners\n* Founders who’ve sold into the RCM stack\n\nPlease shoot us an email at [founders@aegishealth.us](mailto:founders@aegishealth.us).",
        "url": "https://www.ycombinator.com/launches/NZg-aegis-ai-revenue-recovery-engine-for-healthcare-providers",
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        "created_at": "2025-05-22T12:42:12.562Z"
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    "one_liner": "RNA intelligence for precision medicine",
    "team_size": 6,
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        "full_name": "Jonny Hsu",
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        "full_name": "Philip Fradkin",
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        "founder_bio": "Building AI for the most designable molecule in the world: RNA\n\nPublished at top ML & Bio conferences including best paper at Foundation models for science @ Neurips. Built self-supervised learning applications for RNA, small molecules, and phenomics. Playing long term games in ML for Biology.\n\nOne of the first employees at Deep Genomics. PhD from University of Toronto. ",
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        "linkedin_url": "https://www.linkedin.com/in/philip-fradkin-330a417b/",
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        "full_name": "Ian Shi",
        "title": "Founder/CTO",
        "founder_bio": "Building foundational models for RNA therapeutics at Blank Bio.\n\nJust defended my PhD in CS at the University of Toronto. Published at ICML, NeurIPS, Nature Comms; used 4 GPUs to pre-train an mRNA foundation model that beat competitors using months of compute on thousands of H100s. Now scaling our models to unlock new possibilities in the RNA therapeutic space.\n\nPreviously at Amazon building software, interned at Pinterest and Amazon as a research scientist in between.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ruian-shi-4b5215b9/",
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      {
        "id": 92787,
        "title": "Blank Bio - Computational toolkit for RNA therapeutics",
        "tagline": "Building foundation models to design better RNA therapeutics, starting with mRNA design. ",
        "body": "Hey everyone, we’re [Jonny](https://www.linkedin.com/in/jonathanhsuuw/), [Ian](https://www.linkedin.com/in/ruian-shi-4b5215b9/), and [Phil](https://www.linkedin.com/in/philip-fradkin-330a417b/), co-founders of [Blank Bio](https://www.blank.bio/) 👋\n\nWe’ve spent decades applying machine learning to biology across academia (Ph.D.’s at the University of Toronto) and industry (Recursion, Deep Genomics, Amazon). \n\nhttps://youtu.be/7lULj-S-MgQ?feature=shared\n\n**TLDR:** \n\n* mRNA enables programmable, personalized medicine, from gene therapies to cancer vaccines. But with more possible sequences than stars in the universe, brute-force design is impossible.\n* We built a state-of-the-art RNA foundation [model](https://www.biorxiv.org/content/10.1101/2024.10.10.617658v3) to predict and design high-performing sequences, letting pharma **simulate costly experiments** and speed up timelines. \n* Our open-source models are used by Sanofi and GSK, and we’re working with the Arc Institute to power next-gen virtual cell models.\n* mRNA design is just the beginning. We’re expanding to applications like target identification, biomarker discovery, patient stratification, and more\n\n**Asks:** We’re looking to connect with pharma and biotech companies working on mRNA-based therapeutics (i.e. Moderna, BioNTech, Orbital etc.), CRISPR therapeutics (Scribe, Intellia, Editas, etc.), and biomarker discovery.\n\n📤If you know anyone in those spaces, we’d love an intro: [jonathan@blank.bio](mailto:jonathan@blank.bio) 📤\n\n**Who are we?**\n\n![uploaded image](/media/?type=post&id=92787&key=user_uploads/1842799/964fb41d-c751-418d-aecb-5dbbd0fc7405)\n\n* **Jonny**: One of the first employees at Valence Discovery, an AI for drug discovery company spun out of Mila. Acquired by Recursion (NASDAQ: RXRX). Biochemist by training (Waterloo) \n* **Ian**: 10 years of experience in comp bio. Prev. researcher at Memorial Sloan Kettering Cancer Centre (now leading the charge on cancer vaccines) and engineer at Amazon. Has a PhD in computer science (University of Toronto)\n* **Phil**: 12 years of experience in ML for bio. Spent 4 years at Deep Genomics, where he was one of the first employees. Has a PhD in computational biology (University of Toronto)\n\nPhil and Jonny previously worked together at Recursion. Ian and Phil have been collaborating for 5 years throughout their PhDs, doing ML research specifically for RNA biology. See preprints on early versions of the [model](https://www.biorxiv.org/content/10.1101/2024.10.10.617658v3) + [benchmark](https://www.biorxiv.org/content/10.1101/2025.07.05.662870v1). \n\n**What’s the problem?** \n\nmRNA is composed of four nucleotides (A, C, G, U). For the average mRNA therapeutic, there are \\~10²⁷⁰⁹ possible combinations. This is unimaginably larger than the number of stars that exist in the known universe. \n\nA suboptimal sequence can kill your drug discovery program, costing pharma companies billions of dollars. But testing all of the possible sequences is impossible. How can you design the best sequence? \n\n**What are we building?** \n\nA family of RNA-specific foundation models that simulate costly and time-consuming experiments, predicting key properties like **expression** (how much protein is made from the mRNA) and **stability** (how long it stays in the body) before experiments ever begin. \n\nWe’ve currently got the best **RNA foundation model**. It’s outperforming 59 models from leading research labs and companies. At 10M parameters, it’s lightweight and fast enough to run predictions on hundreds of sequences in seconds. The open-source model is already being used by **Sanofi and GSK**, and we’re also collaborating with the **Arc Institute** to bring our RNA embeddings into the next generation of virtual cells. \n\n**What’s next?** \n\n* We’re establishing a set of scaling laws that will bring a GPT-3 moment to RNA.  \n* We’re curating one of the largest transcriptomic annotation datasets in the world to power model training\n* As we improve the model, we’re expanding beyond mRNA design into a broader RNA toolkit, tackling problems like:\n  * Target ID\n  * Novel biomarker discovery \n  * Cell-type-specific mRNA design\n  * …and more 👀\n\nHere’s a peek into the vision that we’re building towards.\n\nhttps://youtu.be/ZgI7WJ1SygI\n\n**Our Ask**\n\n* Follow us on [LinkedIn](https://www.linkedin.com/company/blank-bio) and[ X](https://x.com/blankbio_) \n* Share this post! \n* We’re looking to connect with pharma and biotech companies working on mRNA-based therapeutics (i.e. Moderna, BioNTech, Orbital, etc.), CRISPR therapeutics (Scribe, Intellia, Editas, etc.), and RNA biomarkers. An intro to anyone at these types of organizations would be huge. Please drop an email to [jonathan@blank.bio](mailto:jonathan@blank.bio)",
        "url": "https://www.ycombinator.com/launches/O8Z-blank-bio-computational-toolkit-for-rna-therapeutics",
        "votes": 28,
        "created_at": "2025-08-06T16:09:31.289Z"
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    "id": 30623,
    "name": "Playgent",
    "slug": "playgent",
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    "website": "https://useplaygent.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "When enterprise agents fail in production, the conditions that caused the failure are critical: user state, data, tool calls, and context. Without a way to recreate these conditions, teams can't fix what broke.\r\n\r\nPlaygent provides infrastructure to create high-fidelity sandbox environments for AI agents. Our environments come packaged as a single MCP url where tool calls are mocked, authentication is abstracted away, and test data can be initialized via natural language or JSON specifications.\r\n\r\nTeams can use Playgent to reproduce production failures in safe, scoped environments that accurately reconstruct state. Finally, export runs as OTel traces from Playgent's environment to plug directly into your observability tools or RL pipelines.",
    "one_liner": "Sandboxes for AI agents",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
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      "AI"
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    "country": "US",
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        "full_name": "Neer Jain",
        "title": "Founder/CEO",
        "founder_bio": "Hey I'm Neer, cofounder of Playgent. We're building an Sandboxes for Agents!\n\nIn college, I studied Math, Business, and CS at UT Austin and worked in product and engineering roles at multiple early stage AI startups. At Visa, I launched features used by thousands of banks and built internal tools.\n\nFeel free to reach out -- neer@useplaygent.com",
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        "full_name": "Aniruddh Sriram",
        "title": "Founder/CTO",
        "founder_bio": "Hi! I’m Aniruddh - co-founder of Playgent! We are building sandboxes for AI agents. I did 4 years of NLP research with publications in EMNLP/ACL and was on-route to pursue a PhD when I decided to join YC.\n\nIn my free time, I like writing articles on Medium, playing basketball, and doing acrylic art.\n\nYou can reach me at aniruddh@useplaygent.com!",
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      {
        "id": 92806,
        "title": "Pharmie AI - Your AI Pharmacy Technician",
        "tagline": "AI voice/text agents that handle pharmacy admin so staff don’t have to",
        "body": "We’re excited to share Pharmie, an AI assistant for pharmacists. Check out our [launch video](https://youtu.be/pFKd8YJ6vsQ) and [website](https://www.pharmie.app/)!\n\n**The Problem**\n\nPharmacies are overwhelmed with phone calls about refills, insurance questions, chasing doctors, and handling appointment logistics. This nonstop volume creates constant interruptions, forcing pharmacists and technicians to multitask and context-switch throughout the day. As a result, staff burn out quickly, turnover is high, and time is lost retraining replacements.\n\n**What’s Pharmie?**\n\n**Pharmie is your always-on AI pharmacy assistant.** It never gets tired, works autonomously, and plugs directly into your pharmacy management system to streamline communication and boost efficiency.\n\nPharmie can:\n\n* **Answer inbound calls 24/7:** no more missed calls or hold times\n* **Process refills, transfers, and appointments:** fully automated, no staff intervention needed\n* **Verify insurance and handle patient questions:** from copays to medication availability\n* **Upsell pharmacy services:** intelligently offers vaccines, delivery, or sync programs based on the conversation and patient history\n\n**How It Works**\n\nPharmie seamlessly integrates with your existing pharmacy management system (PMS) to automate phone calls, refills, and patient communication.\n\nDuring onboarding, we work closely with you to:\n\n* Connect to your PMS or set up secure workflows if a direct integration isn’t available\n* Give Pharmie pharmacy-specific information like store hours, address, staff names, services offered, and policies\n* Train Pharmie on your workflows (e.g. how you handle refills, transfers, insurance, and voicemails)\n* Customize messaging for promotions, vaccine reminders, and targeted outreach campaigns\n* Set up call routing and escalation rules to transfer to your team when needed\n\nWe’re already in production at 4 locations, cutting phone volume by 70% and helping teams focus on patient care instead of call chaos.\n\n**The Team**\n\nAniruddh and Neer met freshman year of high school and instantly bonded over their love for math and science. Since then, they’ve worked on all types of projects together from personal gadgets to sophisticated sports betting models that generated 6-figure profit.\n\n![uploaded image](/media/?type=post&id=92806&key=user_uploads/2671843/472d3c8e-7a05-494f-8149-e7fdd21b5942)\n\nIf you know a pharmacist or work with pharmacies, shoot us a message at [**founders@pharmie.app**](mailto:founders@pharmie.app)",
        "url": "https://www.ycombinator.com/launches/O8s-pharmie-ai-your-ai-pharmacy-technician",
        "votes": 43,
        "created_at": "2025-08-07T00:47:21.168Z"
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    "id": 30641,
    "name": "Overdrive Health",
    "slug": "overdrive-health",
    "former_names": [
      "Overdrive Health",
      "Overdrive"
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    "website": "https://overdrive.health",
    "all_locations": "New York City, NY, USA",
    "long_description": "Overdrive Health offers AI powered medical billing services, helping providers get paid more money in less time. Our technology enables us to provide the best quality insurance and patient billing services for a fraction of the usual cost",
    "one_liner": "AI-Native Medical Billing Services",
    "team_size": 1,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare Services",
    "launched_at": 1761922527,
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
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      "Healthcare Services"
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    "regions": [
      "United States of America",
      "America / Canada"
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        "title": "Overdrive Health | AI-Powered RCM for Ambulance Agencies",
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        "body": "Hey everyone 👋 I’m [Michael Schroeder](https://www.linkedin.com/in/michaelschroeder-/), and I’m the founder of [Overdrive Health](https://www.overdrive.health).\n\n**TL;DR:**\n\n[**Overdrive Health**](https://overdrive.health/) is automating the entire medical billing and RCM lifecycle in order to offer higher quality outsourced billing services, starting with the **$2bn ambulance billing industry** (U.S. ambulance industry is $40bn). If you know any fire chiefs/city managers, practice owners in any specialty, or have connections to EHR/ePCR companies, please reach out!\n\n<https://youtu.be/DmZCsVoQORw>\n\n**Problem:**\n\nHealthcare providers spend somewhere between 2% and 10% of their revenue in order to get paid for services they have already provided. It can take a few weeks to several months (to never…) for them to get this money, and often requires hours and hours of manual work in order to get the claims actually paid.\n\nThe process is so complicated that the providers have 2 options: hire a small army of medical billers in-house in order to submit their claims to the insurance company, or pay a 3rd party up to 10% of their revenue to handle the claims for them, with little visibility into what is actually going on. Neither of these are great options; with the in-house route, providers spend countless hours interviewing, training and managing a team of people in an area that they don’t even have an expertise in, or they have to hope that some 3rd party will really chase every single dollar for them (guess what: they won’t).\n\n**Solution:**\n\nOverdrive Health is an AI-native, full-stack medical billing company that can actually afford to go after every single dollar that a provider is owed. By automating time-consuming tasks like insurance company phone calls, documentation quality checks, benefit verification and a slew of others, even a $100 claim becomes profitable for us to collect, which means our **incentives are truly aligned**. We can collect money **faster** than a traditional billing company, while maintaining **consistent, high-quality collections percentage** by utilizing a small team of expert billers behind our AI systems.\n\n**Where we are now**:\n\nWe are acquiring a traditional ambulance billing agency that serves \\~20 ambulance providers, doing over **$50mm in claims/yr**. Since launching our AI agents, their revenue per FTE has **nearly doubled**.\n\n**Where we are going:**\n\nThe **$2bn EMS billing space** is just the beginning. We think that the technology and systems we’re building will be broadly applicable across all medical verticals, and we hope to provide the best possible RCM experience to all healthcare providers. If you know anyone in the EMS/ambulance space, or anyone who owns their own private practice in another medical vertical, please reach out to me at [**michael@overdrive.health**](mailto:michael@overdrive.health).\n\n**Our Ask:**\n\n* Follow us on [LinkedIn](https://www.linkedin.com/company/overdrive-health/)\n* **Share this post!** If you know anyone in the EMS or NEMT world, or any private practice owners, please share this with them!\n\n![uploaded image](/media/?type=post&id=98404&key=user_uploads/1015738/0cb53421-232e-4c14-a5a2-ca1b3a69e47b)\n\n",
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        "body": "**The problem we’re solving**\n\nAmbulance crews spend far too much time on documentation, which would be better spent caring for patients. Currently, EMTs have to write a 300-word essay and fill out 100+ checkboxes for each incident report. \n\nIf you lead an EMS agency, you know EMTs and paramedics dedicate hours each shift filling out repetitive reports, double-checking compliance requirements, and manually correcting documentation errors. These tasks delay patient care, tie up critical resources, and often lead to costly insurance claim denials due to incomplete or inaccurate reporting.\n\nCareSwift enhances provider capabilities by significantly speeding up documentation, helping units return to service faster, and boosting insurance reimbursements by ensuring reports are consistently accurate and compliant.\\\n\\\nHere’s our video [showcasing CareSwift!](https://www.youtube.com/watch?v=nOIEp8BtDcA)\n\n**How CareSwift works**\n\n* **Real-Time AI Documentation**: Our plugin integrates seamlessly with existing major ePCR systems. Providers simply speak, and our system speeds up report writing by auto-populating fields and ensuring that narratives meet compliance standards tailored to your agency.\n* **Automated Compliance Assistance**: CareSwift acts as a real-time QA/QI agent within the ePCR, proactively identifying compliance gaps and documentation errors to ensure providers document accurately and consistently during every call\n\n**Why is this the future**\n\nEMS agencies increasingly face pressure to manage increased call volume, stricter compliance requirements, and tighter budgets. Providers need intelligent support integrated directly into their existing workflows to effectively navigate these challenges.\n\nCareSwift represents the first step toward building a fully unified EMS system. By focusing on real-time documentation assistance and seamless ePCR integration today, we're laying the foundation for the future of efficient, accurate, and compliant EMS operations.\\\n**Our Team**\n\nOur founding team combines the frontline experience of our CEO, Brian, as an EMT in New York City’s 911 system; the technical expertise of our CTO, Jonathan, in scaling secure, high-load applications; and the operational excellence of our COO, John Paul, in automating complex workflows and driving enterprise sales for rapid revenue growth.\n\n**How to get started?**\n\nCareSwift supports EMS operations of all sizes, from small volunteer squads to large agencies.\n\nDiscover how CareSwift can enhance your team's capabilities, reduce documentation burdens, and ensure compliance.\n\nBook a demo here → [careswift.com/demo](https://www.careswift.com/demo)",
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        "id": 92625,
        "title": "Wedge: Palantir for Health AI Agents",
        "tagline": "Wedge deploys, governs, and scales AI agents across healthcare organizations",
        "body": "👋 Hey everyone, this is [Dev](https://www.linkedin.com/in/dev-gopal/) and [Steven](https://www.linkedin.com/in/steven-segawa/). We’re the co-founders of[ ](http://www.tasker.ai/)Wedge 👋\n\n**TLDR:** [Wedge](https://wedge.health) helps hesitant hospitals, health plans, and multi-physician organizations finally start using AI. We are the first platform to forward-deploy engineers inside health institutions to build custom agentic AI solutions.\n\n**Our ask:** We’d love to get introduced with director or c-suite folks at hospitals, especially if they’re currently implementing AI or want to implement AI.\n\n**Contact us:** [founders@wedge.health](mailto:founders@wedge.health)\n\n**Problem:**\n\nThere’s two types of AI being implemented in healthcare:\n\n1. Point Solution AI Vendors\n2. Cheap Outsourced Tech Consultant Solutions\n\nHere’s why they don’t work (and as a result, why you’re not seeing AI in the doctor’s office):\n\n1. The needs and integrations of every healthcare organization look vastly different. Did you know Epic (the #1 dominant EHR vendor) had a technical team dedicated to each hospital they integrated with? To dominate the healthcare industry, you need custom solutions.\n2. Technology consulting firms do offer custom solutions, but their work isn’t built by the best technical talent. We talked to an AI lead at the biggest tech-consulting firm, and they confirmed their solutions are all outsourced. But if the software is even remotely flawed, physicians won’t adopt- especially for AI, the industry needs reliable solutions.\n\n**Solution:**\n\nThat’s where [Wedge](https://wedge.health) comes in: we forward-deploy top engineering talent at each health organization we work with to custom build out the perfect solution for them. Once we’re done, AI products in that health institution are monitored and maintained by us forever.\n\n**Traction:**\n\nWhen the need is great, traction is easy. It normally takes months and years to get contracts with health institutions. We’re piloting at 60+ locations after just one week. Interested in our GTM strategy? Let’s talk.\n\n**Team:**\n\n[Devraj Gopal](https://www.linkedin.com/in/dev-gopal/) (CEO): Ex-Stanford AI. Worked on health AI at Stanford & Hopkins Med.\n\n[Steven Segawa](https://www.linkedin.com/in/steven-segawa/) (CTO): Ex-Berkeley CS + Lead ML Data Scientist at NVIDIA. Ex-Rivian, SoFi, Intel.",
        "url": "https://www.ycombinator.com/launches/O5x-wedge-palantir-for-health-ai-agents",
        "votes": 31,
        "created_at": "2025-07-31T23:04:19.809Z"
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    "name": "b12 Labs",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "b12 makes high-value molecules that are otherwise hard to make. We help pharma companies plan and make new drugs, accelerating early-stage drug discovery from years to months.\r\n\r\nAndres built the first AI agent that can autonomously think and make molecules in a robotic lab, published in Nature Machine Intelligence (1000+ citations), and won the best paper award at the NeurIPS AI for Science conference.\r\nZlatko is a 3x National Chemistry Olympiad champion, competed at IChO level, and medicinal chemist who has worked at Roche and leading lab robotics companies. \r\n\r\nCombined, we have an extensive network of hundreds of chemists, automation scientists, and AI 4 Science researchers.\r\n\r\nWe run paid pilots with big pharma companies, demonstrating that our platform planned a set of experiments that achieved full conversion in a single attempt, eliminating the iteration cycle.",
    "one_liner": "Making hard molecules for Pharma and Biotech",
    "team_size": 3,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Drug Discovery and Delivery",
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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": "Andres and Zlatko met at EPFL, while working in the Lab of Artificial Chemical Intelligence. Zlatko was doing his postdoc and Andres was doing his PhD."
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      {
        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "We decided to apply after we had a YC partners visit our campus at EPFL. Experience was very intense, a lot of work and great advice on how to build a startup. "
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        "full_name": "Zlatko Jončev",
        "title": "Founder/CEO",
        "founder_bio": "at b-12 we are developing AI agents for automated workflows in chemistry and pharma R&D, as a way of manifestating chemical super intelligence in physical world.\n\nour long-term goal is to create autonomous labs that can perform complex, multistep syntheses with minimal human intervention.\n",
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      {
        "user_id": 2507280,
        "full_name": "Andres Bran",
        "title": "Founder/CTO",
        "founder_bio": "Before b-12, Andres built the first AI agent to plan and make molecules in a robotic lab (750+ cites in Nature Machine Intelligence,  and Best Paper at NeurIPS AI for Science), along with several other works in agents and LLMs for chemistry (1100+ citations).\nHe was an Intern at Max Planck (Math in Science), and PhD at EPFL (AI+Chemistry).\n\nAutomation is the future of chemistry, but integration and human operability is the hidden demon nobody talks about. We're fixing that at b-12.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/andrescmb",
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    "jobs": [
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        "id": 105109,
        "title": "Founding Product Engineer (Full Stack)",
        "url": "https://www.ycombinator.com/companies/b12-labs/jobs/IEX0tV9-founding-product-engineer-full-stack",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $160K",
        "equity_range": "0.50% - 2.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 120586,
        "title": "b12 Foundry - We Make the Molecules AI Designs",
        "tagline": "AI Chemistry Foundry - from a molecule on a screen to a compound in a vial",
        "body": "![uploaded image](/media/?type=post&id=120586&key=user_uploads/2507050/a1d7d999-eef2-4350-86a4-f299ef904756)\n\n\\\n**TL;DR:**\n\nAI can design a molecule in seconds, but making it can still take a chemist weeks. b12 Foundry turns a molecule on a screen into a compound in a vial, in a fraction of the time it would take a chemist. A combination of state-of-the-art AI agents plans the route, designs the experiments and runs them on robots in our partner lab, so you get your molecules, and clean data including failed reactions, without needing a lab of your own. **Last year we launched here as a chemistry copilot. Today we work with several large companies, across pharma, flavor and fragrance, energy and biotech industries and universities, and the Foundry is actively making molecules for clients.**\n\n#### ❌ **The problem:**\n\n**AI designs molecules faster than anyone can make them:**\n\n* AI models can now design a molecule in seconds, but making it can still take a chemist weeks.\n* The most interesting designs sit outside the catalogues vendors build from simple, reliable reactions, so someone has to make each one by hand.\n* In practice, teams end up testing an easier cousin of the molecule their model wanted, or nothing at all.\n\n**Good chemistry data is hard to find:**\n\n* Published data mostly shows the reactions that worked, so the failures that models need to learn from rarely get recorded.\n* Running clean, consistent experiments at scale takes a lab, robots and people that most AI teams don't have.\n\nIf you're building AI for drug discovery or materials, synthesis is quickly becoming your bottleneck.\n\n## ✅ **Our Solution:**\n\n<https://youtu.be/HV_etgiCdkM?si=ypo5-kO_EwbztgpO>\n\n**b12 Foundry** combines state-of-the-art AI agents with robots in our partner lab, so we can **plan** and **run** complex chemistry for you, end to end.\n\n**How it works:**\n\n* **Send us a molecule or a workflow:** Share a structure your model designed, or an experiment you want run.\n* **Our agents plan the chemistry:** They work out how to make the molecule and design the experiments for the hardest steps.\n* **Robots run it in our partner lab:** The agents run every experiment on the robots, including chemistry that is hard to do by hand.\n* **You get compounds and data back:** You receive the molecules plus every result, failed reactions included, and everything we run for you belongs to you.\n\n## **👥 Our Team:**\n\nWe are Zlatko and Andres, and in the past, we have:\n\n1. Worked with big pharma (Roche), Chemical Robotics ([**Chemspeed**](https://chemspeed.com/)), and big chemical data ([**MaxPlanck**](https://www.mis.mpg.de/));\n2. Pioneered [**AI agents**](https://www.nature.com/articles/s42256-024-00832-8) for chemistry and [**retrosynthesis**](https://arxiv.org/abs/2503.08537) (at EPFL);\n3. Invented [**new chemistry**](https://onlinelibrary.wiley.com/doi/10.1002/anie.202211168).\n\nWhen we launched here last year, we promised a full stack from planning to robotic execution. Since then, our customer base has grown well beyond pharma. Alongside three large pharma companies, including a top-3 global pharma that came back as a repeat customer, we now work with a flavor and fragrance leader, energy companies, biotech companies, and universities around the world. An AI drug discovery platform has also built our synthesis agent into its own pipeline, and this summer we opened the Foundry, which is actively making molecules for clients.\n\nThe team has grown with it. **Adriana Faraone**, our Research Scientist, runs the experiments in the Foundry, and **Victor Sabanza Gil** joins us from his PhD at EPFL, where he worked on [**Bayesian optimization**](https://arxiv.org/abs/2410.00544) for molecules and materials, the kind of AI that decides which experiment to run next. Together, we give anyone with a molecule on a screen extra **brainpower** and an **additional pair of hands**.\n\n## 🙏 Our Ask:\n\nDo you know a biotech or AI-for-science team whose molecules are hard to make, or who needs experimental chemistry data? We would love a warm intro!\n\nIf you've set up a wet lab in the Bay Area, we'd love 20 minutes of your advice, because our own lab here is next.\n\nSend us an email at: [founders@b12-labs.com](mailto:founders@b12-labs.com) or send them to our website: [b12-labs.com](http://b12-labs.com)\n\n#### ",
        "url": "https://www.ycombinator.com/launches/VMw-b12-foundry-we-make-the-molecules-ai-designs",
        "votes": 6,
        "created_at": "2026-10-08T13:52:26.985Z"
      },
      {
        "id": 92473,
        "title": "b-12 - Chemistry Copilot for Pharma & Biotech",
        "tagline": "Full Stack Chemistry Platform - from planning to robotic execution of experiments",
        "body": "**TL;DR:**\n\nDrug discovery is slow, and it costs billions of dollars. The bottleneck in early discovery is chemical synthesis. b-12 is building a full stack of AI agents to deliver planning and robotic executions of experiments, in minutes, not months. **Our team has developed custom robots for chemistry (Chemspeed), orchestrated AI agents for lab control (EPFL & IBM), and is translating this into a powerful and easy-to-use product.**\n\n**Ask:** Are you running chemistry experiments or chemical robots? Do you know someone who is? Email us at [founders@b12-labs.com](mailto:founders@b12-labs.com) to be added to our pilot program. See below for details.\n\nhttps://www.youtube.com/watch?v=qmf7q-Sie2o\n\n# ❌ **The problem:**\n\n**Drug Discovery is slow:**\n\n* It takes 10+ years and over $2 billion to discover a new drug.\n* 2 in 10000 compounds make it.\n* Chemistry execution is very slow.\n\nExperiments take time! Designing good experiments and trial and error in the lab are big factors.\n\n![uploaded image](/media/?type=post&id=92473&key=user_uploads/2507050/0cd3f202-e48b-48da-a6e5-3ae1572cddab)\n\n**Software for chemists is fragmented:**\n\n* There are many solutions for many different parts of the pipeline.\n* Tools are outdated, and integration is largely missing.\n\n**Lab robots are underused:**\n\n* Most lab robots are _not accessible to scientists_ because they are hard to use.\n* Drag and drop software for multimillion-dollar robotic labs.\n* Lab automation engineers are hard to find.\n\n**Current State:**\n\n![uploaded image](/media/?type=post&id=92473&key=user_uploads/2507050/2a3d91a0-8e78-44d9-a89c-f1dcc7b45f67)\n\n**b-12:**\n\n![uploaded image](/media/?type=post&id=92473&key=user_uploads/2507050/893d0cd2-d071-43be-b08e-ddf29b8aaddc)\n\n# ✅ **Our** **Solution:**\n\nWe are integrating a full stack of Agents to **design experiments** and **write code for the robot** that runs these experiments, with the tools and context needed to predict chemically meaningful results, and close the experimental loop.\\\n\\\n**Key capabilities of our Agents:**\n\n* **Streamline Experiment Planning**: Our tools accelerate creation of experimental details based on literature and expert tools, and tailor the output to the user’s specific needs.\n* **Unified platform:** Our platform integrates several agents that are in tight communication and can go from natural language input to robotic execution in minutes.\n* **No coding required - use natural language:** With arbitrary input flexibility, we can control the robot the same way you would talk to your lab-mates, including inputs from previous runs, and uploading relevant documents.\n* **Parallel and scalable to any lab:** We are vendor agnostic, and integrate with different robotics (Chemspeed, Unchained, Opentrons, etc.) and labs performing experiments manually.\n\n**Pilot Program:** Our team will work on integrating Agentic solutions tailored to your lab's specific problems, whether you use lab automation or not. We want to speed up molecular discovery.\n\n# **👥 Our Team:**\n\n![uploaded image](/media/?type=post&id=92473&key=user_uploads/2507050/92133d6c-ba4b-4722-9115-8c45405366aa)\n\nWe are Zlatko and Andres, and in the past, we have:\n\n1. Worked with big pharma (Roche), Chemical Robotics ([**Chemspeed**](https://chemspeed.com/)), and big chemical data ([**MaxPlanck**](https://www.mis.mpg.de/));\n2. Pioneered [**AI agents**](https://www.nature.com/articles/s42256-024-00832-8) for chemistry and [**retrosynthesis**](https://arxiv.org/abs/2503.08537) (at EPFL);\n3. Invented [**new chemistry**](https://onlinelibrary.wiley.com/doi/10.1002/anie.202211168);\n\nNow we want to integrate it into a seamless platform, where anyone who wants to run experiments gets extra **brainpower** and an **additional pair of hands**.\n\n# 🙏 Our Ask:\n\nDo you know anyone in chemistry working in the pharmaceutical or biotech industry?\n\nWe would love a warm intro!\n\nSend us an email at:\n\n[founders@b12-labs.com](mailto:founders@b12-labs.com) or send them to our website: [b12-labs.com](http://b12-labs.com)",
        "url": "https://www.ycombinator.com/launches/O3V-b-12-chemistry-copilot-for-pharma-biotech",
        "votes": 37,
        "created_at": "2025-07-31T16:18:49.754Z"
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    "id": 30702,
    "name": "TwentyTwo",
    "slug": "twentytwo",
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    "website": "https://twentytwo.bio/",
    "all_locations": "New York City, NY, USA",
    "long_description": "AI is making biology easy to engineer. Life-saving drugs and therapies are accelerating, but so is the ability for bad actors to create a pandemic. TwentyTwo is working on the defensive stack to prevent the next pandemic.",
    "one_liner": "AI infrastructure for biosecurity",
    "team_size": 3,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Industrial Bio",
    "launched_at": 1753262535,
    "tags": [
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      "Biotech",
      "Compliance",
      "Security",
      "AI"
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      "America / Canada"
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/twentytwo.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
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        "user_id": 1970485,
        "full_name": "Evan Seeyave",
        "title": "Founder/CEO",
        "founder_bio": "kurzgesagt and mango enjoyer",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/evanseeyave",
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      {
        "id": 92831,
        "title": "Mohi: Debugging assistant for AI agents",
        "tagline": "Don’t know why your agent messed up? Neither do we. But Mohi will show you exactly where your agents went wrong - and why.",
        "body": "Hey folks! 👋\n\nWe’re building Mohi, a debugging assistant for AI agents. If you've ever spent hours scrolling through 500+ LLM calls asking “what the hell happened?” — this is for you.\n\nhttps://youtu.be/UzQZlUdZ59s\n\n### The Problem\n\nAgents are complicated — tools, memory, web search, nested loops, and hallucinations. And when something breaks, it’s like untangling spaghetti. You’re stuck scrolling through flat logs, guessing which of the _35_ steps silently failed.\n\nIt's slow, brittle, and makes you second-guess your whole stack.\n\n### **The Fix**\n\nMohi makes debugging agents **_fast_**, and **_actually usable_**.\n\nJust tag key steps in your agent with our lightweight SDK (think: tool calls, memory access, context switches, decision logics), and we build a clean visual graph of what happened under the hood. Then we go a step further and show you:\n\n* where your agent last succeeded\n* where it went off the rails (hallucinated, failed tool, wrong branch)\n* and how to re-run broken steps with new inputs\n\nIt’s not just observability. It's a diagnosis.\n\n### **Who We Are**\n\nPreviously, Hao worked on AI and distributed systems observability at AWS, and Evan worked on automated testing at Google and AI evaluations at SecureBio. We met at MIT and worked on a bunch of projects together, eventually building agents ourselves and seeing firsthand how painful debugging can be — so we built Mohi to fix it.\n\n![uploaded image](/media/?type=post&id=92831&key=user_uploads/1675765/aa1f6344-8ce0-4ad5-a5ba-0e203412791a)\n\n### **Our Ask**\n\nIf you’re building complex agents — we’d love to chat!\n\n→[ https://trymohi.com/](https://trymohi.com/)\n\n→ [founders@trymohi.com](mailto:founders@trymohi.com)",
        "url": "https://www.ycombinator.com/launches/O9H-mohi-debugging-assistant-for-ai-agents",
        "votes": 4,
        "created_at": "2026-02-07T00:21:30.007Z"
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    "name": "Novaflow",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Novaflow is the AI data analyst for biology labs. \r\n--\r\nBioinformatics data analysis is a time-consuming and expensive process for scientists. With Novaflow, life scientists can upload experimental data, ask questions in plain English, and get instant, publication-ready plots, giving them results in minutes instead of months.\r\n\r\nResearchers at leading institutions like UCSF, Mount Sinai, UC Berkeley, and Harvard are already using Novaflow in their labs.",
    "one_liner": "The AI data analyst for biology labs",
    "team_size": 4,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1753390612,
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        "full_name": "Amulya Balakrishnan",
        "title": "Founder/CEO",
        "founder_bio": "Former software engineer at Zoom. Studied computer science and business at USC (fight on!).",
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        "id": 92472,
        "title": "Founding Bioinformatics Engineer",
        "url": "https://www.ycombinator.com/companies/novaflow/jobs/oy9afqR-founding-bioinformatics-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Bioengineering",
        "salary_range": "$100K - $150K",
        "equity_range": "0.25% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 92473,
        "title": "Founding Machine Learning Engineer",
        "url": "https://www.ycombinator.com/companies/novaflow/jobs/fuCpxcH-founding-machine-learning-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $250K",
        "equity_range": "0.25% - 2.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 92474,
        "title": "Founding Backend Engineer",
        "url": "https://www.ycombinator.com/companies/novaflow/jobs/VbarVsf-founding-backend-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $250K",
        "equity_range": "0.25% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 92550,
        "title": "Computational Biology Intern - Summer 2026",
        "url": "https://www.ycombinator.com/companies/novaflow/jobs/s2Dqz8k-computational-biology-intern-summer-2026",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Internship",
        "role": "Science",
        "role_type": "Biology",
        "salary_range": "$30 - $45 / hourly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
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      },
      {
        "id": 92551,
        "title": "Software Engineer Intern - Summer 2026",
        "url": "https://www.ycombinator.com/companies/novaflow/jobs/DkgrORs-software-engineer-intern-summer-2026",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$6K - $10K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
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      {
        "id": 92552,
        "title": "Machine Learning Engineer Intern - Summer 2026",
        "url": "https://www.ycombinator.com/companies/novaflow/jobs/YndeeJL-machine-learning-engineer-intern-summer-2026",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$6K - $10K / monthly",
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        "experience": null,
        "visa": "US citizen/visa only",
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      {
        "id": 92868,
        "title": "Growth Intern - Summer 2026",
        "url": "https://www.ycombinator.com/companies/novaflow/jobs/maQZTNQ-growth-intern-summer-2026",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Internship",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$25 - $30 / hourly",
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      {
        "id": 92462,
        "title": "Novaflow – The AI data analyst for biology labs",
        "tagline": "Accelerating scientific progress",
        "body": "We’re Aman and Amulya, and we’re building Novaflow. \n\n**TL;DR —** Bioinformatics data analysis is a time-consuming and expensive process for scientists. With Novaflow, life scientists can upload experimental data, ask questions in plain English, and get instant, publication-ready plots, giving them results in minutes instead of months. \n\n[Intro Video](https://youtu.be/uwi8N9rjCUI)\n\n### **Our Story**\n\nAman was a computational biologist and saw firsthand how his colleagues struggled to analyze their experimental results quickly due to a growing backlog of data in the lab. Despite spending over $100,000 a year on data analysis, it still wasn’t enough. He realized that using LLMs, this process can be automated away and save researchers time and money. He teamed up with his friend Amulya who was a software engineer at Zoom to bring this product to life. \n\n![uploaded image](/media/?type=post&id=92462&key=user_uploads/244146/e5819898-8cdb-480f-9c21-31590b2c7232)\n\n\n### **The problem**\n\nLife science labs generate huge datasets, but analysis is slow, expensive, and talent‑constrained:\n\n* **Expensive.** Small labs routinely spend **$100k+/year per analyst**; large labs spend millions. \n* **Talent bottleneck.** Many groups run **\\~5:1 experimentalists to analysts**, so researchers wait weeks to months for results.\n* **Dual expertise required.** Useful analysis needs **both** strong coding skills and deep biological context—most researchers only have one.\n* **Resource‑intensive + fragmented tooling.** Labs often lack scalable compute, standardization, or long‑term data management. Many are stuck with custom scripts and tools that feel **15+ years behind**.\n\n### **Our Solution**\n\nWe want to put analysis **back in the hands of researchers**:\n\n* 🧠 **LLM‑powered pipelines** that plan, generate, and run bioinformatics workflows behind the scenes\n* 📊 **Instant, publication‑ready plots** from raw CSVs, FASTQs, BAMs., and more\n* 🔍 **Natural‑language querying** (“Which genes are most differentially expressed?”)\n* 🧪 **Exportable Jupyter notebooks & reproducible Python code** for auditability and downstream tweaking\n* ♻️ **Versioned runs & provenance** so you can rerun, compare, and share analyses confidently\n\n### **How it works**\n\n1. **Upload your data + describe the experiment** (e.g., “scRNA‑seq of treated vs. control organoids”).\n2. **Novaflow infers the right workflow** (e.g., QC, normalization, clustering/UMAP for scRNA‑seq; DE for bulk RNA‑seq; peak calling + motif analysis for ATAC‑seq).\n3. **We spin up the compute, run the pipeline, and return plots**, summaries, and a notebook you can keep, rerun, or extend.\n\n### **Who this is for**\n\n* **Life scientists** blocked by slow or missing bioinformatics support\n* **Academic labs** doing genomics, transcriptomics, proteomics, etc.\n* **Biotech teams** that want to accelerate R&D with leaner headcount\n* **Clinical/diagnostic groups** using high‑throughput assays\n\n### **Our Ask**\n\n* [Book a demo](https://calendly.com/aman-novaflowapp/30min?month=2025-07) if you’re interested in seeing how Novaflow can support your lab! \n* Know a research lab, hospital, or biotech company that might benefit from Novaflow? Send us an email - we’d love an introduction! [contact@novaflowapp.com](mailto:contact@novaflowapp.com)",
        "url": "https://www.ycombinator.com/launches/O3K-novaflow-the-ai-data-analyst-for-biology-labs",
        "votes": 531,
        "created_at": "2025-07-25T21:00:30.886Z"
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    "id": 30734,
    "name": "Avelis Health",
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    "website": "https://avelishealth.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "𝐖𝐡𝐲 𝐰𝐞 𝐛𝐮𝐢𝐥𝐭 𝐭𝐡𝐢𝐬:\r\nI (Angel) have had three knee surgeries since my mid-teens and was billed more than $250K for care that should have cost a fraction of that. Fighting those inflated charges was so painful that we set out to build a consumer-facing AI agent to do it for others. In less than five months, we helped sixty patients erase or reduce over $300K from their medical bills.\r\n\r\nThis inspired us to fix the problem farther upstream: stopping bad payments before the patient ever sees a bill. So we launched payment integrity, machine-learning models that audit every medical claim for self-insured employers and health plans in real time.\r\n\r\n𝐓𝐡𝐞 𝐏𝐫𝐨𝐛𝐥𝐞𝐦:\r\n• Self-insured employers waste $60 B+ each year on claims that never should have been paid. Healthcare is the 2nd largest company expense after payroll.\r\n\r\n• Manual audits are slow and partial: Reviewers focus only on high-dollar claims, letting millions more slip through unnoticed.\r\n\r\n• Existing audit software is static: Decades-old rule engines can’t keep pace with evolving codes, contracts, or billing tactics.\r\n\r\n• Incentives are misaligned: Third-party administrators are paid to process claims, not to police them, so accuracy checks are minimal.\r\n\r\n𝐎𝐮𝐫 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧:\r\nOur models audit medical claims before and after payments have been issued. We catch nuanced billing, coding, and contract errors to save 3-7% on annual claims spend. We work with self-insured employers and health plans.\r\n\r\n𝐀𝐛𝐨𝐮𝐭 𝐔𝐬:\r\nAngel Onuoha (CEO) and Ahmad Shehu (CTO) have worked together for 4 years. Before Avelis Health they built Zuvy, a Lagos-based fintech company that provided invoice factoring to small businesses. Zuvy was acquired by The BAS Group in 2025.",
    "one_liner": "We audit medical claims for self-insured employers and health plans.",
    "team_size": 3,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
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    "url": "https://www.ycombinator.com/companies/avelis-health",
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    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
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      "url": "https://www.ycombinator.com/people/jon-xu"
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        "full_name": "Angel Onuoha",
        "title": "Founder/CEO",
        "founder_bio": "Angel is a 3x founder, Harvard alum, and previous PM @ Google. He is currently building AI agents to audit medical claims for self-insured employers.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/angel-onuoha/",
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        "full_name": "Ahmad Shehu",
        "title": "Founder/CTO",
        "founder_bio": "Cofounder and CTO @ Avelis\nAhmad is a 3x founder and full-stack builder with a deep appreciation for craft. He has shipped products from zero to one across the entire stack and led the teams behind them, driven by the conviction that things worth building are worth building well, and that consistent progress compounds into big outcomes.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ahmad-shehu/",
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    "launches": [
      {
        "id": 93135,
        "title": "Avelis Health ⚔️ Preventing overpayments on medical claims",
        "tagline": "We audit medical claims for self-insured employers and health plans",
        "body": "TL;DR: We build AI agents to audit medical claims and identify errors due to coding, billing, and contract violations. Our voice agents automate the process of requesting medical records and recovering overpaid claims from providers.\n\nhttps://youtu.be/gL5IFvnwf6g\n\n**The Problem**\n\n* Self-insured employers and health plans lose $100B+ annually to overpayments on medical claims\n* Legacy audit systems only sample high-dollar claims, missing systematic errors\n* Patients pay the price with higher premiums, reduced coverage, and larger out-of-pocket expenses\n\n**The Solution**\n\n* Machine Learning: Our models review 100% of claims to identify errors and patterns over time\n* Voice AI: We automate the process of medical record retrieval with voice agents\n* Clinical validation with LLMs: Our AI agents review medical records to validate what was actually billed\n* Prevention & Recovery: We integrate into existing claim systems to prevent wrongful payments and recover funds already lost\n\n**Why we're building this**\\\nOver the past 9 years, Angel had three knee surgeries and fought down $250k in inflated hospital bills. We first built a consumer tool that saved $300k for 60 patients in a few months. Then we realized the bigger impact comes from fixing the problem at its source, before the bill ever reaches the patient.\n\n**Backgrounds:**\n\nAngel studied CS/Econ at Harvard and is a 3x founder. He scaled his first company to 60+ enterprise partnerships with financial institutions (Goldman Sachs, JPMorgan, Bank of America). In 2021, he and Ahmad founded Zuvy, a fintech company based in Nigeria, which was acquired by a PE firm in 2025. Earlier, Ahmad built healthcare data platforms for the Nigerian government, serving 20M+ people.\n\n**Get a risk-free claims audit at [avelishealth.com](http://avelishealth.com).**\n\n![uploaded image](/media/?type=post&id=93135&key=user_uploads/89898/2edb2c0f-4e8a-4e9b-bf8f-37918ec91b39)\n\n",
        "url": "https://www.ycombinator.com/launches/OEB-avelis-health-preventing-overpayments-on-medical-claims",
        "votes": 67,
        "created_at": "2025-08-19T06:39:38.032Z"
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    "id": 30735,
    "name": "Evergrove",
    "slug": "evergrove",
    "former_names": [
      "No official name yet",
      "Nony AI",
      "Evergrove Labs"
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    "website": "https://www.evergrovelabs.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "We've built voice agents for the largest work comp managed care orgs and specialist PT networks in the country, making >500K calls annually and accelerating the speed at which they coordinate care. On average, our customers see a 40% increase in workflow completion, 10x decrease in cycle times, and >60% reduction in cost.\r\n\r\nWe think voice agents are the starting point for solving slow and fragmented care coordination in this market. Companies that manage an injured worker's care rely on short-staffed contact centres and archaic methods of info exchange: phone, fax, and email. Every delay along the path of care leads to slower rehab of the injured worker, lower throughput for providers, and higher expense for the insurer/employer.",
    "one_liner": "Instant healthcare for all, starting with work comp",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1786637393,
    "tags": [
      "Healthcare",
      "Insurance",
      "AI"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/evergrove",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/evergrove.json",
    "year_founded": 2026,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/evergrovelabs",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 1081614,
        "full_name": "Sid Unnithan",
        "title": "Founder",
        "founder_bio": "Co-founder and CEO. We're building interoperability in healthcare and commercial insurance. Voice agents are our bread & butter. Prev AI PM lead at Newfront (Acq for $1.3B), Azure ML & VS Code at MSFT, Waterloo Eng Alum (2018), and co-founder of appinkflow.com (bootstrapped).\n\nCo-founder and I built AI-native placement service within Newfront. Small team of expert humans and agent swarms negotiated policies between $300K and $1M USD, achieving 40% faster renewal times, and 15-20% cost reduction.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/siddhanthunnithan",
        "x_url": "https://x.com/SidUnnithan",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b219010304c97621f212e3f6017cac88384bced1.jpg"
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      {
        "user_id": 1161116,
        "full_name": "Jacob Chia",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO. We build agents for healthcare enterprises. Prev AI engineer at Newfront (Acq for $1.3B). Was on the platform team, wrote code for millions of authentication and authorization interactions at Newfront; Refactored file management for millions of mission critical insurance files.\n\nCofounder and I built fully autonomous insurance placements in 2025 - negotiating insurance coverage over email for policies between 300k to 1 million USD, achieving 15-20% cost reduction.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jacob-chia-78a1b2135",
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      {
        "id": 112258,
        "title": "Evergrove: Interoperability for work comp",
        "tagline": "Voice agents that accelerate post-claim care",
        "body": "We’re keeping this short and sweet. We build voice agents to overcome slow and fragmented care coordination in workers’ comp. Some key points:\n\n1. We’re on track to make >500K calls annually, helping customers get to >60% reduction in cost and 40%+ improvement in workflow completion.\n2. Our customers are some of the largest managed care orgs, specialty networks, and ancillary service providers in the work comp space.\n3. We’re ex-Newfront, where we pioneered agents that were cited in the $1.3B acquisition [press release](https://www.wtwco.com/en-us/news/2025/12/wtw-to-acquire-newfront-a-specialized-broker-combining-deep-expertise-and-cutting-edge-technology). We’ve spent our careers inside commercial insurance.\n\nOur mission is to have Evergrove agents powering comms between **every** entity on the post-claim care pathway. If you want to learn more about how we’re seeing early network effects, reach out at [sid@evergrovelabs.com](mailto:sid@evergrovelabs.com).\n\n_“If I had more time I would have written a shorter \\[launch post\\]”_",
        "url": "https://www.ycombinator.com/launches/TCc-evergrove-interoperability-for-work-comp",
        "votes": 30,
        "created_at": "2026-08-26T17:30:00.291Z"
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    "id": 30747,
    "name": "Convexia",
    "slug": "convexia",
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    "website": "https://convexia.bio",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "An AI-maximalist pharma platform. We use agents to buy drugs, run clinical trials, and sell for a profit. 10x faster and 20x leaner than incumbents.\r\n\r\nSourcing Agent: Mines public/private databases and unstructured global data to surface overlooked preclinical candidates.\r\nScientific Agent: Runs comp bio models (ESM-3, RFdiffusion, Boltz-2, AlphaFold) to assess safety and efficacy in silico.\r\nCommercial Agent: Analyzes FDA incentives, pricing dynamics, TAM, competitive landscape, and payer alignment.\r\nClinical Agent: Runs digital twin simulations, evaluates CRO/CMC risk, and builds trial plans to Phase 1.\r\nPoS Agent: Evaluates the most critical factors that impact the likelihood of clinical trial success. \r\n\r\nBuilt by 2 Stanford CS students who have built 3 startups together before. ",
    "one_liner": "The world's first AI-maximalist pharma company",
    "team_size": 4,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Drug Discovery and Delivery",
    "launched_at": 1752301183,
    "tags": [
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      "Biotech",
      "Drug Delivery"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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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": "Ayaan and Rahul met at an entrepreneurship conference in 8th grade and have been building together ever since. By the end of high school, they’d launched two startups. At Stanford, they built a third, recently acquired. Now they’re on their fourth venture - and this is the one they believe can be a unicorn."
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    "url": "https://www.ycombinator.com/companies/convexia",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/convexia.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/convexia-bio",
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    "primary_partner": {
      "name": "Ankit Gupta",
      "url": "https://www.ycombinator.com/people/ankit-gupta"
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        "user_id": 2433930,
        "full_name": "Ayaan Parikh",
        "title": "Founder/CEO",
        "founder_bio": "Building agents to find and acquire early-stage drug assets. \n \nStanford CS + Bio\n\nBuilt 3 healthtech startups (telemedicine, addiction recovery, hydroponic systems). \n\nPublished 4 papers on molecular dynamics. \n\nBiotech VC and consulting experience. ",
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        "full_name": "Rahul Vijayan",
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        "body": "Hey 👋 We’re [Ayaan](https://www.linkedin.com/in/ayaan-parikh/) and [Rahul](https://www.linkedin.com/in/rahulvijayan28/) — Stanford CS dropouts who’ve exited 3 startups together.\n\nOur 4th startup is [Convexia](https://www.convexia.bio/), an AI-maximalist pharma company. We buy drugs, run clinical trials, and then sell for profit.\n\n🎥 [Launch Video](https://www.youtube.com/watch?v=oFaM-ceSGok)\n\n# **Problem**\n\nPharma is the most bloated, antiquated trillion-dollar industry on the planet.\n\nLife-saving drugs are overlooked, abandoned, or shelved because diligence is still done by hand. Slow, costly, and outdated.\n\n# **Our Solution**\n\nWe use agents to operate 10x faster and 20x leaner. Convexia’s AI agents autonomously handle:\n\n* **Sourcing** – Find hidden early-stage drugs from around the world.\n* **Scientific diligence** – Evaluate drug viability with leading computational biology tools\n* **Market analysis** – Model market size, competition, and IP positioning\n* **Clinical operations** – Simulate trials, flag CMC issues, and discover CROs\n* **Business development** – Match each drug to the right buyer\n\nTest our agents here: https://www.convexia.bio/playground \n\n![uploaded image](/media/?type=post&id=92466&key=user_uploads/2433930/cb571daa-a456-472c-a8fe-b370b2e3b50e)\n\n# **Our Ask**\n\nBefore buying and selling drugs ourselves, we are running pilots with early customers who want to accelerate their search and evaluation processes.\n\n📅 Book a call [here](https://calendly.com/ayaan-convexia/demo). \n\nHere’s who we’re looking to meet—see if anyone’s in your network [here](https://www.linkedin.com/search/results/people/?currentCompany=%5B%22434006%22%2C%2221263%22%2C%2211127960%22%2C%2277579063%22%2C%2218268402%22%2C%223204230%22%2C%2234756183%22%2C%222673956%22%2C%2210317593%22%2C%2286884606%22%2C%2238336%22%2C%2219031898%22%2C%224990022%22%2C%221337177%22%2C%228013%22%2C%2226195%22%2C%226761%22%2C%22617961%22%2C%2212150%22%2C%2248171%22%2C%2211647%22%2C%226866%22%2C%2213476%22%2C%225239%22%2C%227635%22%2C%2233408697%22%2C%223235%22%2C%221893%22%2C%225482%22%2C%222068%22%2C%221663%22%2C%221304385%22%2C%221773%22%2C%221603%22%2C%221399%22%2C%2291149342%22%2C%221642%22%2C%2216233341%22%2C%221485%22%2C%221486%22%2C%222227%22%2C%221406%22%2C%222276%22%2C%221602%22%2C%221204%22%2C%222281734%22%2C%2229088045%22%2C%221185%22%2C%229215024%22%5D&industry=%5B%2215%22%2C%2212%22%5D&network=%5B%22F%22%5D&origin=FACETED_SEARCH&sid=a*t).\n\n* Small/mid pharma companies (Incyte, Nimbus, Roivant SubCos)\n* Biotech VCs (Versant, Atlas, RA Capital)\n* Computational biotechs (Recursion, Insitro, Owkin)\n* Operators who’ve brought drugs to market\n\n# Reach us: [founders@convexia.bio](mailto:founders@convexia.bio)",
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        "id": 92778,
        "title": "Locata - AI Referral Management for Health Centers",
        "tagline": "We use AI to automate the entire referral loop including authorizations, patient communication and specialist follow-up.",
        "body": "Hey everyone, we’re [Alejandro](https://www.linkedin.com/in/asalinas21/) and [Josh](https://www.linkedin.com/in/joshua-r-chang/) - cofounders of [Locata](https://www.locatahealth.com/) 👋\n\n**TL;DR**\n\nReferral management is one of the most time-consuming and error-prone tasks in healthcare. Locata eliminates that burden by automating the entire process with AI. This helps health centers streamline their operations, reduce costs, and ensure patients get timely care.\n\nhttps://youtu.be/IwyUifa8MnE\n\n## ❌ The Problem\n\nReferrals are one of the most critical, yet most broken, parts of the US healthcare system. Health centers are required to track specialist referrals to ensure continuity of patient care and meet quality standards. **But with limited staff and overwhelming administrative demands, health centers struggle to keep up, leading many to outsource the work.**\n\n**Consequences:**\n\n* High error rates in referrals\n* Denied authorizations and delays in specialist appointments\n* Wasted time manually copying data between various systems\n\n**Impact:**\n\nThese operational inefficiencies create major **financial risks** for health centers. On top of the resources centers already deploy to manage referrals, failure to effectively close the loop puts quality standards in jeopardy, carrying even greater financial implications.\n\n## [👷](https://emojipedia.org/construction-worker) Our Solution\n\nLocata uses AI to automate the referral management process from end-to-end. Imagine having a team of the world’s best referral coordinators that operate with higher accuracy, lower costs, and faster delivery, giving health centers the capacity to scale on demand and close more referral loops.\n\n* **AI auth submission**: Our AI extracts patient data directly from EHRs, intelligently maps it to the correct authorization forms across different payor portals, and submits requests automatically.\n* **Automated status updates:** We monitor authorization status continuously, with automatic notifications sent to staff for cases requiring urgent attention.\n* **Voice AI patient follow-up:** Our Voice AI calls patients on customizable cadences to monitor whether they’ve made a specialist appointment. Our system alerts staff when they need to step in to offer additional support.\n* **Consult note retrieval**: Once a patient confirms an appointment, our AI automatically contacts specialists, requesting consult notes to effortlessly close the loop.\n\nWithin two weeks of building our product, we signed a major regional health center and are taking them live to automate their entire referral workflow.\n\n## 🙏 Our Ask\n\n* We would love introductions to physicians or administrative staff at health centers. Contact us at [**founders@locata.ai**](mailto:founders@locata.ai).\n* Learn more at [**locatahealth.com**](http://locatahealth.com)\n\n## 👫 The Team\n\nAlejandro and Josh have known each other for almost 10 years.\n\nAlejandro was a senior software engineer at Meta’s Reality Labs, where he led AI projects that resulted in a patent submission. He holds a BS degree in Computer Science from Stanford University. As an undergrad, he conducted AI research at Stanford Medicine and shadowed doctors internationally.\n\nJosh was a software engineer at Google, working on AI products that served over 1 billion users. He holds BS & MS degrees in Computer Science from Stanford University. \n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcVZU3FQirEU_QuCAYPL2Xw4G4s1QrbEaxCqUFuSG5YG_QQ0lRcCjMSgbEiwEa-7LbYq461m2f3Oy6p4mSvgv_2bDdpKAxbZ26uCIhrtGsl6o-4nnt3X0U_XjYhmvXHr6onkiJP?key=-A3E_ylVo9SV_eklWajCuw)\n\n",
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        "body": "Hey YC.\n\nMy name is Eshan. I’ve spent the last 5 years trying to address what I think is the most pressing problem in the country — addiction and mental health. Before YC, I ran a group doing on the ground overdose prevention work across the country. I also worked at the White House on Drug Policy.\n\n**Insurance companies love to scrutinize behavioral health treatment**, partially because it’s expensive (a single 30-day residential treatment episode can cost upwards of $50,000), and partially because proving medical necessity for behavioral health is a subjective process.\n\nBut behavioral health care _is_ medically necessary. **Drug overdose is the single biggest cause of death for young people in the US.** And there are too many stories of insurers denying people care, only for those individuals to later lose their lives to overdose.\n\nWe were in the summer ‘25 YC batch. Since then, we’ve been working with a small group of customers to develop a new product. I’m excited to announce it today.\\\n\\\n**Introducing: Perspectives Reclaim**\n\nBecause they’re under so much pressure from payors, behavioral health treatment programs currently spend an immense amount of resources and staff generating documentation and auditing it to be perfect. \\\n\\\nReclaim solves this by\n\n1. Reading tens of thousands of pages of charts every night\n2. Finding issues that can lead to insurance denials or other issues\n3. Tracking down which clinician made the error and emailing back and forth with them until it’s solved.  \n\n![uploaded image](/media/?type=post&id=101622&key=user_uploads/2329278/a7ccf9c3-cf38-409a-a8d4-9c4421623a19)\n\n\\\nIn each of our pilots, we’ve flagged and resolved hundreds of issues, from missing documents to drug tests that weren’t happening when they were supposed to, **leading to more approvals from payors, higher revenue for our clinics, and better outcomes for patients.**\n\nReclaim’s agent can also help provide evidence when fighting against payor clawbacks and can generate the insurance documentation used to argue for more days of care.\n\nIn the last 4 weeks since launching Reclaim, we’ve gone from **0 —> $250k cARR.** Our vision is to replace the $30B spent on the financial and administrative services that keep these clinics afloat and give that capacity back to care.\n\n**Asks**:\n\n1. Intros to our ICP: we’re looking for multi-site behavioral health/SUD treatment centers that deal with commercial insurance.\n2. We’re currently hiring a senior software engineer to help us scale. Any intros here would be appreciated.\n3. Investor intros are always appreciated as well.\n\nHere’s our launch video: <https://youtu.be/vvFe7AF3mUo>",
        "url": "https://www.ycombinator.com/launches/QR4-perspectives-health",
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        "title": "Perspectives Health: AI Agents for behavioral health admin",
        "tagline": "Too many clinicians are forced to chase insurance reimbursements through hours of documentation. We’re here to fix that",
        "body": "**Perspectives Health is the AI assistant automating the admin work that slows down behavioral health clinics.**\n\n[https://youtu.be/xL-XqY41L10](https://youtu.be/xL-XqY41L10%5C)\n\nHey everyone! We're Eshan and Kyle, founders of Perspectives Health.\n\nWe help the millions of clinicians and clinical directors finally use AI inside the outdated EMR systems they've been stuck in.\n\nMost clinical record software works like Microsoft 95, has no modern APIs, and can't integrate with new tools. That leaves clinicians stuck doing endless manual computer work. \n\nBelieve it or not, most behavioral health clinicians will spend 5 years of their lives just typing notes!\n\n**The Problem**\n\n* 60%+ of clinicians work outside of major hospital systems.\n* Most of them use software that nobody can connect to.\n* This means they can't access life-changing AI software, which could automate notes, billing, scheduling, and more.\n\n**Our Solution**\n\n* Connects to any web-based EMR instantly. Yes, we mean any EMR.\n* Perspectives listens to sessions, writes notes better than a clinician, and populates them straight into any EMR. \n* No copy/paste. And we don't rely on browser agents, so our tool fills out any form in seconds, not minutes.\n\nAI is rapidly improving, but most of healthcare is locked out due to legacy systems. Perspectives bridges that gap, making AI usable immediately. Clinicians want to help people. Not to be drowned in manual work. We're building toward a future where clinicians never touch a keyboard for documentation again—where intelligent systems handle every workflow outside of patient care. \n\nThe first step is integrating seamlessly with outdated EMRs and filling in the critical workflows they lack. From there, we'll expand across specialties—behavioral health, speech therapy, physical therapy, veterinary care, and beyond—unlocking AI for every provider outside the hospital system.\n\n**Our Traction**\n\n* We're growing 25% every week.\n* Once users try our product 5 times, the habit is built, and they never write notes without it.\n* We have onboarded 9 clinics for our pilot program since YC started, and each is on track to onboard all our pilot clinicians by September (180 clinicians).\n\n**Our Team**\n\nOur founding team combines lived experience in mental health care, policy expertise from the White House Drug Policy team, and technical expertise in scalable AI systems.\n\n**Our Ask**\n\nIf you're a behavioral health operator, clinician, or investor who believes AI should be helping providers now—not five years from now—let's talk.",
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        "created_at": "2025-08-13T19:26:58.682Z"
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        "body": "Hey everyone! This is [Ben](https://www.linkedin.com/in/benjamin--rubin/) and [Yining](https://www.linkedin.com/in/yining-z/) from [Norra](https://www.linkedin.com/company/norra-io/), the AI equipment operations platform for nursing facilities.\n\nTL;DR: Norra uses AI and real-time tracking to give nursing facilities operational intelligence they've never had.\n\n🚨**The problem:**\n\nNursing facilities are facing an existential crisis. With the aging population, demand is surging but they can't keep up. Medicare cuts coupled with inefficient operations mean that over 50% of facilities lose money and are struggling to keep their doors open, all while facing a massive impending staff shortage.\n\nFacilities run blindly with zero operational intelligence. They’re scrambling to manage equipment lifecycles, discovering things are broken too late (leading to failed audits), and over-purchasing because they don’t know what they have. This operational chaos costs each facility over $100K and 1,000 hours of staff time per year, time that could be spent caring for patients.\n\n💡**The solution:**\n\n<https://youtu.be/dI02IH5izfk>\n\nWith custom hardwares, Norra creates a digital twin of their entire facility, giving staff complete visibility into everything happening on the ground. With all of this data, we are able to use AI to transform the operational chaos into proactive decision making. Instead of reacting to equipment going into disrepair or overpurchasing equipment due to lack of visibility, staff now get actionable insights to prevent waste before it happens.\n\nWhat it actually means: Preventative maintenance reminders and tracking, Intelligent and automated purchasing workflows, Insights to improve utilization and cut costs\n\n**⚡Impact:** \\\n\\\nWe've cut our first facilities' rental spend by 70% and projected to save them $100K+ this year.\n\n**👥 About Us:**\n\nBen and Yining met two years ago at NASA building astronaut operation software. They are two roommates turned cofounders passionate about using AI to make a real impact in healthcare. \n\nBen has spent 1000+ hours in hospitals and nursing facilities seeing first hand how broken their operations are.\\\n\\\nYining built applied AI solutions at MD Anderson Cancer Center, experiencing its potential to revolutionize healthcare.\n\n**🤝 Our Ask:**\n\nWe’re looking to connect with healthcare executives interested in modernizing their operations. If you know any, please reach out to [ben@norra.io](mailto:ben@norra.io).\n\n![uploaded image](/media/?type=post&id=95331&key=user_uploads/2732719/6b76a604-4597-47c7-bb1b-2dc3c6c1ee31)\n\n",
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        "created_at": "2025-11-09T06:54:28.070Z"
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        "id": 116216,
        "title": "AI SEO Lead",
        "url": "https://www.ycombinator.com/companies/sunflower/jobs/EJZyKD7-ai-seo-lead",
        "location": "Buenos Aires, Buenos Aires, AR / Remote (US)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$1.5K - $12K / monthly",
        "equity_range": "0.01% - 0.10%",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
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    "launches": [
      {
        "id": 112046,
        "title": "The Sunflower Clinic of Addiction Medicine (live in PA & MI) 🌻",
        "tagline": "We're building a 50 state telemedicine program for SUDs, reimbursed by medicaid.",
        "body": "**TLDR:** Sunflower Sober started by building the best AI Sponsor on the market &amp; powering over 21,500,000 days of sobriety. Now we are launching the **Sunflower Clinic of Addiction Medicine** to bring Therapy &amp; Medication to our users, reimbursed by medicaid. We have over $153M worth of patients on a waitlist.\n\n**App:** <https://apps.apple.com/us/app/sunflower-quit-any-addiction/id1547099435>\n\n**Clinic:** <https://sunflowerclinic.com/>\n\n![uploaded image](/media/?type=post&id=112046&key=user_uploads/132378/fc76c836-d166-4caf-b46c-fc2f85ddb653)\n\nHello friends!!\n\nDid you know that it is harder to build a **50 state SUD outpatient program that takes medicaid**, than it is to put rockets into space?\n\nThe licensing requirements once you start treating substances as a primary diagnosis are quite frankly insane, state-level medicaid approval, county level MCO contracts, physical facilities in every state.\n\nBut we started Sunflower to solve **hard problems**.\n\nMost people look at us and think “hehe, a mobile app, a sobriety counter”. When we raised our pre-seed with no product and no revenue I told our early investors that this is my version of going to mars. Sunflower isn’t here to just build a sobriety counter. **We are trying to literally and objectively end addiction.**\n\nWe’re on a mission to create one TRILLION days of sobriety, one day at a time.\n\nSo far we have powered over 21,500,000 days.\n\nWe built the first AI Sponsor, named Sam, who has now had over **7,000,000 messages** with our users. More messages than any “entity” has ever had within a single lifetime about sobriety.\n\nSam is a critical piece to the sobriety journey. Almost 80% of surveyed users at d60 report Sunflower preventing at least one relapse, and **93.6% report a reduction in substance usage**.\n\nBut we’ve always known that an AI Sponsor is only a PART of what people need to get sober. They still need **therapy**. They still need **medication**.\n\nThe problem?\n\nWhen you are struggling with substance abuse (alcohol or otherwise), you often don’t have $10 in your bank account to pay for gas.\n\nWe have too many users that downloaded Sunflower because **they can’t afford paying $125/hr for therapy**. That can’t afford dropping $350 a quarter for Naltrexone.\n\nOutpatient programs for SUDs are one of the most regulated spaces within behavioral health, and because of this, access to care that _will actually take our users insurance_ (medicaid) is extremely limited.\n\nThis is why we are working to build the **Sunflower Clinic of Addiction Medicine**.\n\nA 50 state telemedicine program for SUDs that _actually_ takes medicaid. Now live in MI &amp; PA with SUD facility licensing, state medicaid approval, and in the final steps of county level MCO contracting.\n\nWe are combining our best in class AI Sponsor with Mayo Clinic MDs and therapy leadership that built group programs at Charlie Health from 8 - 300+ therapists … our goal is to build the **best outpatient program on the face of this planet** &amp; get it covered by medicaid nationwide.\n\nSo far we have over **37,500+ patients on a waitlist** who have requested Therapy or Medication from Sunflower, representing a TAM of $153M waiting to be served.\n\nWe are going to solve one of the most important problems in human existence. A problem that globally we spend over $100B treating every year, and is the greatest shackle to the acceleration of humanity.\n\n**Thanks for following along with our story.** Here’s some data. 🌻\n\n![uploaded image](/media/?type=post&id=112046&key=user_uploads/132378/bc43bb69-3c76-4b16-8e62-9cfb56adef66)\n\n![uploaded image](/media/?type=post&id=112046&key=user_uploads/132378/6360a175-3730-4f34-8f8f-877c0ecab8e8)\n\n![uploaded image](/media/?type=post&id=112046&key=user_uploads/132378/811dae90-30c2-433d-93fb-876fb9f2beb3)\n\n![uploaded image](/media/?type=post&id=112046&key=user_uploads/132378/8202d2c7-82ba-45c5-bf9b-c9c2373454b5)\n\n![uploaded image](/media/?type=post&id=112046&key=user_uploads/132378/d23f1ef9-74b8-4e82-8020-6b8938e6acc5)\n\n![uploaded image](/media/?type=post&id=112046&key=user_uploads/132378/96db8f55-0afb-4cf5-bb78-715ba7e29fa6)\n\n![uploaded image](/media/?type=post&id=112046&key=user_uploads/132378/f3fec3da-c919-4264-8946-5aed579c3493)\n\n",
        "url": "https://www.ycombinator.com/launches/T9C-the-sunflower-clinic-of-addiction-medicine-live-in-pa-mi",
        "votes": 526,
        "created_at": "2026-08-24T16:12:24.013Z"
      },
      {
        "id": 94154,
        "title": "Sunflower: An AI Agent tasked with helping you stay sober. 🌻",
        "tagline": "Quit drinking alcohol, nicotine, cannabis, opioids, heroin, gambling, porn, or anything else",
        "body": "![uploaded image](/media/?type=post&id=94154&key=user_uploads/132378/03768fda-8234-42c4-a4ef-07df5eccdb39)\n\nHey friends!\n\nSunflower builds an app that **uses AI to convince people to stop drinking** (or doing drugs) & **to stop killing ourselves**. 🐝\n\nMost people have a personal story or connection with addiction.\n\nFor me, I used to smoke too much weed (thank god it wasn’t anything harder). My grandpa passed away from alcoholism & my grandma passed away from lung cancer.\n\n“Addiction” is a supply constrained market, which means that there isn’t enough supply (good doctors) to properly service the 1 billion+ humans who struggle with addiction.\n\nBut because of an AI, **for the first time EVER**, we have an infinitely scalable solution to effectively treat addiction.\n\n**Sunflower grew from 200 → 100,000 Monthly Active Users in less than 6 months**, and now we’re in almost every country on earth in English, Spanish, Japanese, Korean, Portuguese.\n\nSorry there’s no “video” for this Launch YC. Best way to experience our product is to simply [go download it](https://sunflowersober.com/).\n\n**Here’s the thing i’m most proud of**, which is what our users actually say about this thing that we built:\n\n![uploaded image](/media/?type=post&id=94154&key=user_uploads/132378/02950d8c-fc04-4f17-93be-075ed219c1ba)\n\n![uploaded image](/media/?type=post&id=94154&key=user_uploads/132378/97b08723-3fa7-493f-b1cc-9733d3270220)\n\n![uploaded image](/media/?type=post&id=94154&key=user_uploads/132378/fc3432ff-3c0b-48af-b989-0cba27824309)\n\n![uploaded image](/media/?type=post&id=94154&key=user_uploads/132378/8bfa5024-b885-4b80-a532-fe88966d4b01)\n\n![uploaded image](/media/?type=post&id=94154&key=user_uploads/132378/3a18de92-bd65-4294-9ea5-73d7a140ba46)\n\n![uploaded image](/media/?type=post&id=94154&key=user_uploads/132378/37117421-e206-4e2e-b07f-20aac23d3455)\n\n![uploaded image](/media/?type=post&id=94154&key=user_uploads/132378/6b7ea32c-b46d-4fd7-a046-2577d9102a71)\n\n",
        "url": "https://www.ycombinator.com/launches/OUc-sunflower-an-ai-agent-tasked-with-helping-you-stay-sober",
        "votes": 456,
        "created_at": "2025-09-26T20:58:53.448Z"
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    "id": 30915,
    "name": "FinalDose",
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    "website": "https://finaldose.ai/",
    "all_locations": "Oxford, England, United Kingdom",
    "long_description": "FinalDose is building the first programmable drug - a single smart drug molecule that you can insert any diseased genetic code and it can search and destroy cells upon DNA recognition.  Unlocking 80% of undruggable targets today. Starting with all cancers.",
    "one_liner": "Programmable DNA drug destroying all cancers, unlocking 80% of targets",
    "team_size": 5,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Therapeutics",
    "launched_at": 1778543597,
    "tags": [
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      "Therapeutics",
      "Genetic Engineering",
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    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
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      "Europe"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/finaldose",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/finaldose.json",
    "year_founded": 2025,
    "city": "Oxford",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/finaldose/",
    "x_url": "https://x.com/LaunchFD2026",
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      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
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        "user_id": 2957085,
        "full_name": "Jeff Liu",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ FinalDose (YC P26). Oxford PhD in Oncology. Previous startup (Vivid Dx) solved a multi-decade bottleneck in sepsis diagnostics: low biomass isolation. By overcoming this hurdle, we built the world’s fastest diagnostic system - slashing wait times from 5 days to just 30 minutes. Raised $15M in venture backing. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jeff-liu-dphil-194a1372/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/40b75cb23f98bd74b4723c275a4162aa93bf077d.jpg"
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      {
        "user_id": 2973703,
        "full_name": "Li-Yao Huang",
        "title": "Founder",
        "founder_bio": "Founder at FinalDose (YC P26). DPhil in Biochemistry from Oxford, where he spent 5 years as a postdoctoral researcher at the MRC Weatherall Institute of Molecular Medicine. Led CRISPR screening projects uncovering new druggable targets in cancer cells and built pipelines reducing hit validation time from months to 7 days. Research focuses on BRCA1-deficient cancers and PARP inhibitor resistance mechanisms.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/li-yao-huang-13676b1b2",
        "x_url": "",
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      {
        "user_id": 2973562,
        "full_name": "Steven Lin",
        "title": "Founder",
        "founder_bio": "Cofounder and CTO at FinalDose (YC P26). Oxford PhD in Computational Biology with Wellcome Trust full scholarship. Previously Data Lead at Gutsee Biotech. Developed novel machine learning method to use coevolution biology to identify genetic targets that convey drug resistance in viruses. During SARS-CoV-2 pandemic, led UK biobank analysis of human genetics susceptibility for infections",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/steven-shang-kuan-lin-b8438196/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0f8f7cf0566508443b0ddfb7d92523f989207b5c.jpg"
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      {
        "id": 101229,
        "title": "FinalDose: The first programmable drug to cure all cancers",
        "tagline": "FinalDose is building the first programmable drug platform - a single smart drug molecule that finds diseased cells by their DNA and destroys them. We’re starting with all cancers.",
        "body": "**TL;DR**\n\n**For 60 years, drug discovery has chased proteins. But \\~85% of disease drivers don't have a druggable protein, making them unreachable for modern medicine. The deeper issue: most disease doesn't start at the protein, it starts in the DNA that codes for it. We built a programmable drug that reads DNA inside the cell, decides if it's diseased, and destroys the cell if it is. One platform, reprogrammed to any disease distinguishable on a DNA level.**\n\n![uploaded image](/media/?type=post&id=101229&key=user_uploads/2957085/2cb08187-4767-47e6-845e-1adc642aec61)\n\n[Check us out](https://www.youtube.com/watch?v=446etIvaYCM&t=2s)\n\n**❌ The Problem**\n\nDrug discovery hasn't really changed in sixty years. Pick a protein, throw millions of molecules at it, spaghetti at a wall, hoping something sticks. 10 years and $2.6B per drug.\n\nThe bigger issue is proteins aren't where most disease starts. Disease starts in the DNA. The protein is downstream - the symptom, not the cause. Which is why \\~85% of validated disease drivers have no druggable protein at all. Cancers driven by MYC, TP53, APC; Viral reservoir; clonal populations that drive systematic risk. All \"undruggable\" with the old protein playbook.\n\n**✨ Our Solution**\n\nWe went straight for the DNA.\n\nWe started with a DNA-sensing protein that undergoes a sharp structural change when it finds its target sequence. We hijacked that structure change and turned it into a kill switch:\n\n1\\. The molecule scans the genome for a hardcoded target sequence.\n\n2\\. When it finds the target sequence, our drug changes in structure\n\n3\\. The structural change triggers a kill switch\n\n4\\. The diseased cell containing the target DNA dies. Neighboring healthy cells are untouched.\n\nSame molecular  molecule, new guide → new drug. This means R&D cycle and cost collapses to near 0.\n\nThe compounding asset: we already have decades of human genetics telling us which sequences cause which disease. We're not searching for new biology - we're turning genetics that's already in the textbooks into drugs.\n\n**⚙️ Our Team**\n\n![uploaded image](/media/?type=post&id=101229&key=user_uploads/854295/ab013db6-2afe-4d60-a0b6-88a575695993)\n\n(Left) **Jeff Liu - CEO**. Oxford PhD in Oncology. Previous startup (Vivid Dx) solved a multi-decade bottleneck in sepsis diagnostics: low biomass isolation. By overcoming this hurdle, we built the world’s fastest diagnostic system - slashing wait times from 5 days to just 30 minutes. Track record of closing institutional rounds - $5M seed and a $10M Pre-Series A.\n\n(Middle) **Li-Yao Huang - CSO**. Oxford PhD in Biochemistry. Developed a comprehensive discovery-to-validation framework utilizing Cas9 and its derivatives to identify and verify novel therapeutic targets from high-throughput genetic-genetic and genetic-drug interaction data. Scientific lead in molecular biology, cellular assays, construct engineering.\n\n(Right) **Steven Lin - CTO**. Oxford PhD in Computational Biology. Previously Data Lead at Gutsee Biotech. Developed novel machine learning method to use coevolution biology to identify genetic targets that convey drug resistance in viruses. During SARS-CoV-2 pandemic, led UK biobank analysis of human genetics susceptibility for infections\n\nThis will be the most general curative modality for any genetic mutation driven disease ever. Love to chat!\n\nFind us at [founders@finaldose.ai](mailto:founders@finaldose.ai)",
        "url": "https://www.ycombinator.com/launches/QKj-finaldose-the-first-programmable-drug-to-cure-all-cancers",
        "votes": 37,
        "created_at": "2026-05-12T15:47:16.378Z"
      }
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    "id": 30925,
    "name": "Paceline Bio",
    "slug": "paceline-bio",
    "former_names": [
      "Play Health"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/52ae3355c425a5e6bfaad9876e3d186dff23a243.png",
    "website": "https://paceline.bio/",
    "all_locations": "Boulder, CO, USA",
    "long_description": "Paceline Bio runs the research and clinical ops layer behind biotech and pharma company who want to move fast, starting with biospecimen collection, logistics, and storage. We're built to get you from scope to signature in just one day so you can accelerate your programs.",
    "one_liner": "Biospecimen logistics & operations layer to accelerate drug dev",
    "team_size": 3,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1760457684,
    "tags": [
      "AI-powered Drug Discovery",
      "Biotech",
      "Drug discovery",
      "Biotechnology"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
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    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/paceline-bio",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/paceline-bio.json",
    "year_founded": 2025,
    "city": "Boulder",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/paceline-bio/",
    "x_url": "https://x.com/playhealthco",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "id": 30933,
    "name": "Nucleo",
    "slug": "nucleo",
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    "website": "https://nucleoresearch.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We help oncologists and radiologists extract insights from CT scans to support tumor characterization and treatment.\r\n\r\nThe hospitals we work with include Stanford Hospital, Cedars-Sinai, UCI Health, and Weill Cornell.",
    "one_liner": "The first Agentic platform for Oncology",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1761179954,
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    "top_company": false,
    "isHiring": false,
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    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada",
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      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
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    "url": "https://www.ycombinator.com/companies/nucleo",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/nucleo.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/nucleoresearch",
    "x_url": "https://x.com/nucleo_research",
    "fb_url": "https://www.facebook.com/profile.php?id=61581747160051",
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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": 1402780,
        "full_name": "Angelica Iacovelli",
        "title": "Founder/CEO",
        "founder_bio": "Angelica Iacovelli is the CEO and co-founder of Nucleo. \n\nPreviously, she was a researcher at Stanford University, where she worked on cardiovascular modeling, simulating blood flow dynamics using GNNs, LSTMs, and Transformers. The models are now part of NVIDIA’s scientific libraries. \n\nShe holds BS+MS in Mathematical Engineering from Politecnico di Milano and completed a research exchange at IIT Madras. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/angelica-iacovelli-490a8a1a7/",
        "x_url": "https://x.com/AngelicaIAC",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1645aa2b505b09627ac92eea2c76c935191857c3.jpg"
      },
      {
        "user_id": 2780313,
        "full_name": "Luca Pegolotti",
        "title": "Founder/CTO",
        "founder_bio": "I am a researcher in Applied Mathematics and AI for healthcare by training. I hold degrees from Politecnico di Milano, Italy (BSc) and EPFL, Switzerland (MSc and PhD), and have conducted research at the Stanford School of Medicine during my PhD and as a Postdoc. Before founding Nucleo, I was part of Apple Health AI, where I worked on physics-informed machine learning.\n\nI've published papers on computational methods, cardiovascular system modeling, and AI for medical images and optical sensors.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/luca-pegolotti/",
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    "launches": [
      {
        "id": 95157,
        "title": "Nucleo: Automated Cancer Diagnostics",
        "tagline": "We help oncologists and radiologists extract insights from CT scans to characterize and treat tumors.",
        "body": "[Nucleo](https://www.youtube.com/watch?v=gR84avz0zkc)\n\n**👉 [Learn more about Nucleo](https://nucleoresearch.com/)**\n\n**👉 [Contact us](mailto:angelica@nucleoresearch.com)**\n\n### **Problem**\n\nCancer is not only a biological disease; it is a **logistical failure**.\n\nCancer is responsible for 1 in 6 deaths \\[1\\]. ≃ 20% of those deaths happen simply because proven treatments start too late. The latest registry data show that the median **diagnostic interval** in the United States is about 36 days \\[2,3\\], while the median **time-to-treatment** initiation is roughly 32-41 days (≈38 days on average) \\[4,5\\]. So a typical American with cancer waits ≈ 9-11 weeks (65-80 days) before therapy actually starts.\n\nA four-week delay after diagnosis adds 6–13% relative mortality; risk rises another ≈8 % for each additional 4 weeks (e.g. 12-week delay ≈ +26-30 % mortality) \\[6\\].\n\nBy automating key tasks in the oncological workflow we plan to cut 9-11 weeks to ≤ 10 days.\n\n### **Solution**\n\nThe doctor imports the CT scan. Our AI-powered software automatically extracts key oncological metrics such as sarcopenia, body composition assessment, lesion volume, and target vs. non-target lesion classification.\n\nSome results:\n\n* Our segmentation is 2,500x faster than the manual one.\n* We achieved State-of-the-art performance in sarcopenia detection.\n* Our validation studies show a 98% agreement between Nucleo and medical experts.\n\n![uploaded image](/media/?type=post&id=95157&key=user_uploads/1402780/31d40150-99ff-47c2-84d9-f8afa4191632)\n\n### **Our Team**\n\n[Angelica](https://www.linkedin.com/in/angelica-iacovelli-490a8a1a7/) was previously researching at Stanford University, where she worked on cardiovascular modeling, simulating blood flow dynamics using GNNs, LSTMs, and Transformers. The models are now part of NVIDIA’s scientific libraries. She holds BS+MS in Mathematical Engineering from Politecnico di Milano and completed a research exchange at IIT Madras. In 2025, she was recognized as one of the 11 most influential Italians under 35 in software.\n\n[Luca](https://www.linkedin.com/in/luca-pegolotti/) is a researcher in Applied Mathematics and AI for healthcare. He holds degrees from Politecnico di Milano (BSc) and EPFL, Switzerland (MSc and PhD), and conducted research at the Stanford School of Medicine during his PhD and postdoctoral studies. Before founding Nucleo, he was part of Apple Health AI, where he worked on physics-informed machine learning.\n\n**👉 [Contact us](mailto:angelica@nucleoresearch.com)**\n\n**👉 [Learn more about Nucleo](https://nucleoresearch.com/)**\n\n![uploaded image](/media/?type=post&id=95157&key=user_uploads/1402780/e3439ac4-596d-4a9a-bde6-0324ea458ddc)\n\n### **References**\n\n\\[1\\] World Health Organization. _Cancer_. [**https://www.who.int/news-room/fact-sheets/detail/cancer**](https://www.who.int/news-room/fact-sheets/detail/cancer**) (2024).\n\n\\[2\\] Caplan, L. Delay in breast cancer: implications for stage at diagnosis and survival. _Front. Public Health_**2**, 87 (2014).\n\n\\[3\\] Wattacheril, J. _et al._ Lag times in diagnosis and treatment of colorectal cancer. _Aliment. Pharmacol. Ther._**28**, 1166–1174 (2008).\n\n\\[4\\] Cone, E. B. _et al._ Assessment of time-to-treatment initiation and survival in a cohort of patients with common cancers. _JAMA Netw. Open_ **3**, e2030072 (2020).\n\n\\[5\\] Khorana, A. A. _et al._ Time to initial cancer treatment in the United States and association with survival over time: an observational study. _PLoS ONE_ **14**, e0213209 (2019).\n\n\\[6\\] Hanna, T. P. _et al._ Mortality due to cancer treatment delay: systematic review and meta-analysis. _BMJ_ **371**, m4087 (2020).",
        "url": "https://www.ycombinator.com/launches/Okn-nucleo-automated-cancer-diagnostics",
        "votes": 66,
        "created_at": "2025-11-04T22:38:12.112Z"
      }
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  },
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    "id": 30937,
    "name": "Anto Biosciences",
    "slug": "anto-biosciences",
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    "website": "https://www.anto.bio/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Anto is building a foundation model for microbial communities, making the gut microbiome computable for the first time. We predict drug toxicity and efficacy across diverse populations and fix drugs so they work for everyone — solving the hidden root cause of most drug failures. \r\n\r\nFounded by Arvid (Broad Institute of MIT and Harvard; Nature-published researcher who pioneered quality-aware, goal-directed sparsification) and David (Harvard Medical School Gastroenterology, J&J), second-time founders who published the breakthrough at leading machine learning AI conferences and Nature. ",
    "one_liner": "A Foundation Model for Microbial Communities.",
    "team_size": 4,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1761948352,
    "tags": [
      "Generative AI",
      "Biotech",
      "Genomics",
      "Drug discovery",
      "AI"
    ],
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    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
      "Healthcare"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/anto-biosciences",
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/anto-biosciences/",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 1514534,
        "full_name": "Arvid E. Gollwitzer",
        "title": "Founder/CEO",
        "founder_bio": "Founder @ Anto Bio | Researcher @ Broad, Harvard, MIT | Lecturer @ ETH Zurich",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/arvid-gollwitzer/",
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        "user_id": 1361118,
        "full_name": "David de Gruijl",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder @ Anto. Formerly Janssen Pharmaceuticals, ETH Zurich and Gastroenterology Dept. of BWH, Harvard Medical School. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/daviddegruijl",
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    "launches": [
      {
        "id": 95292,
        "title": "Anto Biosciences: A Foundation Model for Microbial Communities",
        "tagline": "Making the microbiome computable. ",
        "body": "We’re [Arvid](https://www.linkedin.com/in/arvid-gollwitzer/) and [David](https://www.linkedin.com/in/daviddegruijl/), and we’re building [Anto Biosciences](https://www.linkedin.com/company/anto-biosciences).\n\n### tl;dr\n\nAnto is building a multimodal foundation model for microbial communities, making the gut microbiome computable for the first time. We predict drug toxicity and efficacy across diverse populations and optimize molecules for universal efficacy — addressing the microbiome-driven causes of drug response and failures.\n\n**Launch Video**: https://youtu.be/BDPp2wXiDbw\n\n### The Key Problem\n\n**We caught a cancer drug that worked in China but failed in U.S. trials. Same molecule, different microbiomes. $1B lost.**\n\nThis isn't an isolated story; more than a billion people are currently on medications where the microbiome dictates success or failure. The gut microbiome drives drug toxicity and efficacy, but pharma lacks the tools to understand and act on it \\[10,11,13\\]. Current methods to simulate the gut take months, cost millions, and rely on animal models that are too different from humans to be useful.\n\n### About Anto\n\n**We predict drug toxicity and efficacy across diverse populations and optimize molecules for broader efficacy—addressing the hidden, microbiome-driven causes of drug response and failures.**\n\nInput any drug molecule. We tell you how people will respond. We show where it works and where it fails—by geography, age, or diet.\n\nWe predict:\n\n* Population-specific efficacy (geographic, age-based, vegans vs. meat eaters, etc.)\n* Failure mechanisms (specific microbial metabolic pathways) \\[9,11\\]\n* Treatment response profiles across diverse populations \\[10,14\\]\n\nAnd we don't just flag risk; we identify failure mechanisms down to microbial metabolic pathways and generate treatment response profiles across populations. Then we optimize the molecule for broader efficacy. Turning 20% efficacy into 80% becomes an optimization problem we can actually solve.\n\n**Why we can do this:** We've pioneered quality-aware, goal-directed sparsification algorithms \\[5,9,15\\]. Microbiome data is 99% noise. We remove most of the noise and low-quality data through sparsification, leaving only the 1% that actually carries predictive power. That's how we make the microbiome computationally tractable. \\[6,7,8,14\\].\n\n### About Us\n\n[Arvid](https://www.linkedin.com/in/arvid-gollwitzer/) — Broad Institute of MIT and Harvard, ETH Zurich. Nature-published researcher who pioneered microbiome sparsification. Built the methods that make noisy microbial data tractable.\n\n[David](https://www.linkedin.com/in/daviddegruijl/) — ex-ETH Zurich, J&J, BWH, Harvard Med, Gastroenterology. Struggled with current drug digestion models firsthand. Knows where current workflows break and how to fix them.\n\n![uploaded image](/media/?type=post&id=95292&key=user_uploads/89898/3b2d64c2-dbc0-4bad-aad7-40b7995faeca)\n\nWe’re second-time founders who have lived this problem and published at leading AI conferences and Journals.\n\n### Traction\n\nWe're working with pharma R&D to simulate drug–microbiome interactions and de-risk cross-border deals with population-specific efficacy predictions and response profiles. Our open-source tools and research \\[1-9,14,15\\] are widely adopted and taught in engineering and computational biology programs \\[16\\].\n\n### What This Means for Digital / Computational Biology\n\n**The microbiome is the missing layer in drug development.** Most orally administered drugs are modified by gut bacteria before reaching their targets. We're making this layer computable for the first time \\[11-14\\].\n\nIf you're building in digital biology, precision medicine, or drug development, let's talk. The microbiome affects everything.\n\n### Our Asks\n\nIf you’re in drug development, cross-border deals, or translational medicine, we’d love to learn what microbiome requirements matter most to you. If you know teams in pharma and believe this product is cool, sharing / intros would mean a lot.\n\nIf you are in academia or microbiome research, try out our open-source tools \\[5-15\\]!\n\n**Get in touch**: [founders@anto.bio](mailto:founders@anto.bio) | [anto.bio](https://www.anto.bio/)\n\n### Our Research\n\nOur foundational work spans high-performance genomic analysis \\[1-4\\], metagenomic classification algorithms \\[5,9,14,15\\], in-storage computing for microbiome data \\[6-8\\], and the first large-scale datasets for causal modeling of microbial ecosystems \\[11,12\\]. We've pioneered techniques that make microbial communities computationally tractable, including quality-aware sparsification that reduces noise by 99% while preserving predictive power \\[5,9,15\\]. Our recent work on therapeutic resistance \\[10\\] and AI-controlled metagenomics for clinical applications \\[14\\] directly informs our drug optimization capabilities.\n\n**References:**\n\n\\[1\\] N. M. Ghiasi et al., \"GenStore: A high-performance in-storage processing system for genome sequence analysis,\" in _Proc. 27th ACM Int. Conf. Architectural Support for Programming Languages and Operating Systems_, 2022, pp. 635-654.\n\n\\[2\\] N. M. Ghiasi et al., \"GenStore: In-storage filtering of genomic data for high-performance and energy-efficient genome analysis,\" in _2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)_, 2022, pp. 283-287.\n\n\\[3\\] N. M. Ghiasi et al., \"GenStore: A high-performance and energy-efficient in-storage computing system for genome sequence analysis,\" _arXiv preprint arXiv:2202.10400_, 2022.\n\n\\[4\\] M.-D. Rumpf, M. Alser, A. E. Gollwitzer et al., \"SequenceLab: A comprehensive benchmark of computational methods for comparing genomic sequences,\" _arXiv preprint arXiv:2310.16908_, 2023.\n\n\\[5\\] A. E. Gollwitzer et al., \"MetaTrinity: Enabling fast metagenomic classification via seed counting and edit distance approximation,\" _arXiv preprint arXiv:2311.02029_, 2023.\n\n\\[6\\] N. M. Ghiasi et al., \"MetaStore: High-performance metagenomic analysis via in-storage computing,\" _arXiv preprint arXiv:2311.12527_, 2023.\n\n\\[7\\] N. M. Ghiasi et al., \"MetaStore: High-performance metagenomic analysis via in-storage computing,\" _arXiv e-prints_, pp. arXiv-2311, 2023.\n\n\\[8\\] N. M. Ghiasi et al., \"MegIS: High-performance, energy-efficient, and low-cost metagenomic analysis with in-storage processing,\" in _2024 ACM/IEEE 51st Annual Int. Symp. Computer Architecture (ISCA)_, 2024, pp. 660-677.\n\n\\[9\\] A. Gollwitzer et al., \"MetaFast: Enabling fast metagenomic classification via seed counting and edit distance approximation,\" _arXiv preprint arXiv:2311.02029_, 2023.\n\n\\[10\\] A. E. Gollwitzer, D. A. Subramanian, I. Tucker, and G. Traverso, \"Steering the evolutionary game: Hierarchical control of therapeutic resistance in cancer treatment,\" in _NeurIPS 2025 AI for Science Workshop_, 2025.\n\n\\[11\\] A. E. Gollwitzer, D. A. Subramanian, I. Tucker, and G. Traverso, \"MetaOmics-10T: The foundational dataset to unlock causal modeling of microbial ecosystems,\" in _NeurIPS 2025 AI for Science Workshop_, 2025.\n\n\\[12\\] N. M. Ghiasi et al., \"MegIS: High-performance, energy-efficient, and low-cost metagenomic analysis with in-storage processing,\" _arXiv preprint arXiv:2406.19113_, 2024.\n\n\\[13\\] H. J. Haiser and D. de Gruijl, \"Emerging tools and technologies for microbiome-aware drug development,\" _Clinical Pharmacology & Therapeutics_, 2025, doi:10.1002/cpt.70026.\n\n\\[14\\] A. Gollwitzer et al., \"AI-controlled metagenomics: High-throughput taxonomic profiling for clinical pathogen detection and early-stage cancer screening and type classification,\" _arXiv preprint arXiv:2311.02029_, 2025.\n\n\\[15\\] A. Gollwitzer et al., \"The Thinking Microscope: A reinforcement learning framework for the co-optimization of computational and generative data sparsification in metagenomics,\" _arXiv preprint arXiv:2311.02029_, 2025.\n\n\\[16\\] A. E. Gollwitzer, \"Decoding the human microbiome through AI-controlled metagenomics: Promises and ethical implications,\" presented at ETH Zurich ETHix Series, Dec. 2024. \\[Online\\]. Available [here](https://bioethics.ethz.ch/news-and-events/news-bioethics/2024/12/decoding-the-human-microbiome-through-ai-controlled-metagenomics-promises-and-ethical-implications.html).",
        "url": "https://www.ycombinator.com/launches/Omy-anto-biosciences-a-foundation-model-for-microbial-communities",
        "votes": 32,
        "created_at": "2025-11-07T20:30:08.883Z"
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    "id": 30970,
    "name": "Exonic",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "We program DNA sequences to be context-aware, unlocking new kinds of genetic therapies.",
    "one_liner": "Exonic is an AI-native cell and gene therapeutics company. ",
    "team_size": 3,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Drug Discovery and Delivery",
    "launched_at": 1762663893,
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/exonic",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/exonic.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/exonicbio/",
    "x_url": "https://x.com/exonicai",
    "fb_url": "https://www.facebook.com/profile.php?id=61582621808913",
    "cb_url": "https://www.crunchbase.com/organization/exonic",
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      "url": "https://www.ycombinator.com/people/pete-koomen"
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        "user_id": 2083214,
        "full_name": "Ben Brimacombe",
        "title": "Founder/CEO",
        "founder_bio": "Co-founded Free2Grow, one of the largest AI voice companies in the home services vertical today.\nCo-led Turnpoint contract ($1.4B revenue aggregator) at Free2Grow. \nColumbia Computer Science and Mathematics, 2020.\nPublished AI researcher.\nLed machine learning at Long Run Partners, an NYC mortgage bank.\nResearched ML at Numerai, the crowdsourced hedge fund ($500m+ AUM). ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/benjamin-brimacombe/",
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        "id": 95156,
        "title": "Founding Scientist (Synthetic Genomics)",
        "url": "https://www.ycombinator.com/companies/exonic/jobs/TknRQEX-founding-scientist-synthetic-genomics",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Science",
        "role_type": "Biology",
        "salary_range": "$120K - $180K",
        "equity_range": "0.50% - 2.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "Molecular biology",
          "Wet lab",
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    "id": 30977,
    "name": "Rovi Health",
    "slug": "rovi-health",
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    "website": "https://www.rovi.health",
    "all_locations": "New York City, NY, USA",
    "long_description": "We deliver high-quality, cost-effective healthcare to employees through text. Employers cut 10–20% of healthcare spend. Employees get concierge care that improves outcomes.\r\n\r\nOur AI agents analyze clinical data to identify care needs. We treat common conditions through our integrated virtual clinic. For more complex care, our agents find the best in-network providers using millions of price and quality data points, and handle end-to-end appointment booking. ",
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    "team_size": 3,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1761513033,
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      "Digital Health",
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        "full_name": "Santosh Vallabhaneni",
        "title": "Founder/CEO",
        "founder_bio": "Santosh is the CEO of Rovi Health, building AI-enabled, text-based healthcare. Previously GM of Cedar’s patient affordability products, sold millions in ARR to the largest health systems in the country. Early employee at AngelList, led their GTM and Customer Success teams. Also a licensed health insurance broker. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/santoshvallabhaneni/",
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      {
        "user_id": 1932657,
        "full_name": "Tarun Vallabhaneni",
        "title": "Founder/CTO",
        "founder_bio": "Tarun is the CTO and co-founder of Rovi Health, building AI-enabled, text-based healthcare. Previously, Tarun was working on foundational AI models to predict extreme weather events. \n\nHe holds an M.S. in Computer Science from UChicago, specializing in AI and high-performance computing, and a B.S. in Biology from Cornell.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tvallabh/",
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      {
        "id": 93206,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/rovi-health/jobs/tSysGWC-founding-engineer",
        "location": "New York, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$170K - $250K",
        "equity_range": "0.75% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97833,
        "title": "Senior / Staff Founding Engineer",
        "url": "https://www.ycombinator.com/companies/rovi-health/jobs/TdMPbYV-senior-staff-founding-engineer",
        "location": "New York, United States",
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        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "8+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 97834,
        "title": "Founding GTM Engineer",
        "url": "https://www.ycombinator.com/companies/rovi-health/jobs/8xkizlu-founding-gtm-engineer",
        "location": "New York, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
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        "id": 94971,
        "title": "Rovi Health: Text-based healthcare that slashes employer health spend",
        "tagline": "We deliver high-quality, affordable healthcare to employees through text. Employers cut 10-20% of their annual spend. Employees get concierge healthcare they love.",
        "body": "# **⏳TL/DR**\n\nRovi helps employees access high-quality, cost-effective healthcare. We text employees the best in-network options at exactly the right moment, and handle all the complexity.\n\n* Our AI-enabled virtual care treats common conditions quickly over text or video.\n* For complex care, our AI agents search across all in-network providers using millions of price and quality data points, then handle scheduling and logistics.\n* Employees get rewarded for choosing high-value care through copay reimbursements and waived deductibles.\n\nLaunch video: https://www.youtube.com/watch?v=mKNB0CF8_9Y\n\n# **⚠️ The Problem**\n\nHealthcare costs are crushing employers. 2025 is seeing a 9% rate hike, the worst in a decade. A 1,000-person company now faces over $1M in cost increases annually, compounding.\n\nEmployers’ only options are to cut benefits or redesign their entire plan. Both take months and frustrate employees.\n\nWhat if Employers could offset these costs by adding benefits instead?\n\n## **🤨 How is this possible?**\n\n**Price and quality have no correlation in healthcare:**\n\n* The same MRI: $700 at an imaging center vs $2,500 at a hospital. Same network. Same machine.\n* The same knee surgery: $7,000 at a surgery center vs $25,000 at a hospital. Same surgeon. Often better outcomes at the surgery center.\n\n![uploaded image](/media/?type=post&id=94971&key=user_uploads/1230817/7a7a2b27-4c82-410c-9744-82a5af6b1cc2)\n\n**So why does everyone end up with the expensive option?**\n\n1. **Hospitals own the referral pipeline.** They consolidated most primary care practices. When your doctor orders a procedure, their systems automatically directs it to their expensive facilities.\n2. **Shopping is impossible.** Prices are hidden, provider directors outdated, quality is opaque. And when you're sick, calling twelve clinics is the last thing you want to do.\n\n**Rovi does the hard work.** Our AI agents analyze terabytes of pricing data, research every provider's quality metrics, and surface options matching each person's preferences for cost, convenience, and availability. Making good healthcare decisions drives down costs for both the employee and the employer.\n\n# **🎯 Impact**\n\nWe save employers 10-20% on healthcare spend while improving care outcomes and delivering a health benefit that employees love.\n\nWe've already signed contracts to roll out to thousands of employees across multiple employers for the 2025-2026 plan year.\n\n## **🙏🏾 Our ask**\n\n1. **Employers:** We have two final Q1 spots for self-funded employers. Introductions to employer benefits teams, brokers, health plans, and TPAs are welcome. Reach out to [santosh@rovihealth.com](mailto:santosh@rovihealth.com).\n2. **Individuals:** [**Join our beta**](https://rovi.health/) to try our AI care concierge. Rovi will find you great in-network doctors whenever you need care. Virtual care coming soon.\n\n## **👬🏾 Our team**\n\nWe're brothers on a mission to build AI-native health insurance that members love.\n\n**Santosh** was previously building Cedar's affordability products, scaling to millions in ARR by closing enterprise deals with the country's largest hospital systems. Before that, he led a 30-person GTM & Customer Success team at AngelList. He’s also a licensed health insurance broker.\n\n**Tarun** built foundational AI models to predict extreme weather events at UChicago, where he earned a Master's in AI and high-performance computing. He has a B.S. in biology from Cornell, and is obsessed with using AI to solve healthcare's messiest data problems.\n\n![uploaded image](/media/?type=post&id=94971&key=user_uploads/1230817/5e3c8786-7330-4fa2-bdee-8a416d5144c9)\n\n",
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        "created_at": "2025-10-28T18:03:14.789Z"
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    "long_description": "Improving how you look and feel leads to better outcomes in life (career, relationships, first impressions, opportunities, etc). \r\n\r\nImproving your health and appearance is an engineering problem - the body can be optimized like any other system",
    "one_liner": "Improve your appearance by measuring, understanding, and tracking…",
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    "subindustry": "Healthcare -> Consumer Health and Wellness",
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        "user_id": 1382504,
        "full_name": "Shivani Patel",
        "title": "Founder/CEO",
        "founder_bio": "quantifying every layer of the human body",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/shivanijpatel/",
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        "url": "https://www.ycombinator.com/companies/layers/jobs/RPmWQ5c-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "0.25% - 1.00%",
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        "id": 95195,
        "title": "Telemetron: The Support Platform that Understands Hardware",
        "tagline": "Product Support, Troubleshooting, and Debugging for Hardware Companies",
        "body": "![uploaded image](/media/?type=post&id=95195&key=user_uploads/1382504/8e149fc6-6d08-468e-9867-3f7e72a234c9)\n\n### The Team:\n\n![uploaded image](/media/?type=post&id=95195&key=user_uploads/1382504/e6ac658e-26f8-4e6f-959c-5af6bd9b7c6c)\n\nShivani and Hamza worked together at SpaceX on the Starlink Software team. \\\n\\\n**Shivani:** \\\nShivani was the first software engineer on the Starlink customer support team. She built all the AI support software tooling from scratch as a solo-engineer. She built the Starlink app/web chatbots, an AI copilot for internal teams and support agents, a telemetry enabled root causing system, and much more! She helped take AI automation at Starlink from 0 to 70%. \\\n\\\n**Hamza:** \\\nHamza built internal tooling to manage Starlink’s multi-billion dollar ecommerce flow and solved global customer issues. He built the internal localization framework, payments infrastructure, SEO, content management, and much more\n\n### The Problem:\n\nFor hardware products, post-sales support is more than just replying to emails and working tickets. **50-80% of customer issues are tightly coupled with what is happening on devices.** Resolutions require in person service, warranty checks, returns & replacements (RMAs), video calls, and root-causing defective hardware.\n\nAt SpaceX, we evaluated over 20 customer support companies and ended up needing to build our own.  When talking to other hardware companies, we found every hardware company faces the same problem.\n\n1. **Support agents aren’t technical enough to troubleshoot.** _Companies have to provide extensive training to prevent escalations to software / hardware teams_\n2. **Legacy support software like Zendesk / Intercom are built for b2b SAAS.** _Hardware companies are forced to build software tools from scratch_\n\n### The Solution:\n\n# Telemetron: End-To-End Support Platform for Hardware Companies. We handle product support, troubleshooting, field service management, and more.\n\n\\\nhttps://youtu.be/817uAVqoOWY\n\n![uploaded image](/media/?type=post&id=95195&key=user_uploads/1382504/5aeda9dc-ee66-4b9e-853d-d7d9be0f83b2)\n\n**Internal Agent Copilot:** \\\nIntegrations to connect your AI agent to your device telemetry, 3PL systems, ecommerce flows, and everything else needed to run a hardware company post-sales. Our agents are built to process and debug complex hardware data and docs.\n\n![uploaded image](/media/?type=post&id=95195&key=user_uploads/1382504/0c96b639-b1db-49e1-b7e2-2598249f587e)\n\n\\\n**Modern, Hardware-Friendly Customer Help Center + Chat:** \\\nHelp Center and AI Chatbot that’s built for hardware. AI Agents that understand firmware revisions, product manuals, design docs. Easy to add pictures and videos for setup guides, troubleshooting docs, and product manuals\n\n![uploaded image](/media/?type=post&id=95195&key=user_uploads/1382504/136d1d3f-24f1-4373-bac3-c22b071ca3a1)\n\n**And so much more!**\n\n* Field Service Management: Software tools for technicians providing in person support for hardware devices\n* Warranty Eligibility and Management software\n* RMA Eligibility and Management\n* Hardware evaluations Post-RMA\n* Omni-channel support (phone, email, text with i-Message, video calls)\n\n### Let's Talk!!\n\nIf you’re building hardware products, let’s talk! Feel free to book a demo [here](https://calendar.app.google/AHhzPK3LRhwZFBHC6)\n\nIf you have hardware products you love, but the customer support sucks, tell us about it [founders@telemetron.ai](mailto:founders@telemetron.ai)\\\n\\\nhttps://youtu.be/9Om9a2DVN6Q",
        "url": "https://www.ycombinator.com/launches/OlP-telemetron-the-support-platform-that-understands-hardware",
        "votes": 193,
        "created_at": "2025-11-05T17:41:45.019Z"
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    "id": 30997,
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    "long_description": "LunaBill is building AI Voice callers for healthcare billing teams. Insurance claim follow-up calls account for the 80% of the daily workload of a healthcare billing team, with each call averaging 30 minutes.\r\n\r\nSince our launch in July we are now at $764K in contracted ARR, of which $428K is live revenue and the rest will go live by January 2026. Our customers see a 10x increase in claims followed up per biller in the first week and we have converted 100% of pilots to paying customers. We have automated 50,000+ calls and signed partnerships with top healthcare systems in the country.\r\n\r\nThe founders have known each other for over a year. Suhail is a 2x founder, with 3+ years of experience building in healthcare including operating a medical billing company with 200+ healthcare clients. David founded Skiesoft, Taiwan’s biggest healthcare AI scribe company, used by thousands of healthcare professionals. He also worked as a data scientist at UCSF, building models to audit medical-coding accuracy. ",
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    "subindustry": "Healthcare -> Healthcare IT",
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        "full_name": "Suhail Parry",
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        "full_name": "David Day",
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        "founder_bio": "David previously founded Skiesoft, one of Taiwan’s biggest AI scribe company. He also worked at a data scientist at UCSF, building models to audit coding accuracy.",
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      {
        "id": 95408,
        "title": "LunaBill - AI Voice Callers for Healthcare Billing Teams",
        "tagline": "Automating claim-status calls, follow-ups, and reprocessing, so your billing team can finally focus on revenue, not hold music.",
        "body": "Hello YC! We’re Suhail Parry, David Day, and Yash Raj from LunaBill.\n\n_TL;DR:_ We built AI voice agents that automate insurance calls for healthcare billing teams. Fine-tuned on a dataset of over 1.2M call transcripts, our voice agents can handle insurance calls regarding claim-status inquiries, A/R recovery, and appeals follow-up.\n\n![uploaded image](/media/?type=post&id=95408&key=user_uploads/2978935/704621ef-8701-4468-9167-c84f44c67f0a)\n\n### **🚨 The Problem**\n\nEvery week, U.S. healthcare billing teams make tens of millions of calls to insurance companies to get claims paid.\\\nEach one averages **25 minutes**. That’s how hospitals unlock part of the **$260B in denied or delayed payments** every year.\n\nBut there’s a bottleneck:\n\n* Reps can only handle a few calls per hour.\n* Staffing is expensive and hard to scale.\n* Delays cost millions in unrecovered revenue.\n\nMeanwhile, every new hospital system or insurer integration compounds the complexity.\n\n### **💡 The Solution**\n\nLunaBill’s **AI voice callers** automate those phone conversations end-to-end.\n\nOur voice agents:\n\n* Handle **claim status checks, appeals follow-ups, and reprocessing calls** automatically.\n* **Connect to any billing software** and dial claims that need to be worked.\n* Run up to **100 concurrent agents** per client, like having a 100-person call center on demand.\n* Deliver post-call summaries with the to-do steps, integrated directly into workflows.\n\nThey’re **fine-tuned on 1.2M+ real call transcripts**, understand payer logic, and sound completely natural.\\\n🎧 [Listen](https://drive.google.com/file/d/1jxi7GRUV4h1YDX8XkEYQdFzepboOQLq8/view?usp=sharing) to a real AI insurance call, see if you can guess who’s human.\n\n### **⚡ Our Progress**\n\nTo date, LunaBill has automated **60,000+ insurance calls**, saving billing teams over **20,000 hours** and recovering **$30M+** in payments that would otherwise be lost.\n\nBillers now can complete 300+ claim follow-ups per day — up from about 25/day before LunaBill, a \\~12x productivity improvement.\n\nLunaBill has partnered with **top healthcare systems** and **three of the biggest enterprise billing companies** across the country.\n\n![uploaded image](/media/?type=post&id=95408&key=user_uploads/2978935/1f560e14-55c0-4cf7-be59-68fda8d58eb1)\n\n**👥 About Us**\n\n* **Suhail Parry (CEO)** — 2x founder, led billing ops for 200+ clinics.\n* **David Day (CTO)** — Former UCSF data scientist, founded **Skiesoft**, an AI medical scribe used by 120,000 users.\n* **Yash Raj (COO)** — Built AI consumer apps (10K+ users) and worked at **Mayo Clinic** on clinical AI research.\n\nWe first met at the Berkeley AI Hackathon, where we built an AI nurse. A few months later, we teamed up to tackle the biggest operational pain point we’d all lived through: **insurance phone calls**.\n\n### **🤝 Our Ask**\n\nWe’d love warm intros to:\n\n* **Hospital CFOs/CROs/revenue cycle leaders**\n* **Billing / RCM partners**\n* **YC startups selling to hospitals (EHRs, telehealth, marketplaces)** for integrations or co-GTM\n\nFor inquiries, email us at [founders@lunabill.com](https://mailto:founders@lunabill.com) \n\nVisit us at[ ](http://www.lunabill.com/)[Lunabill](http://www.lunabill.com). \\\nFollow us on Linkedin **👉** [LINK HERE](https://www.linkedin.com/company/lunabill/?viewAsMember=true)\n\nThanks for the support!",
        "url": "https://www.ycombinator.com/launches/Ooq-lunabill-ai-voice-callers-for-healthcare-billing-teams",
        "votes": 51,
        "created_at": "2025-11-11T16:18:20.305Z"
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    "website": "https://claimglide.com/",
    "all_locations": "Seattle, WA, USA",
    "long_description": "We automate the entire end-to-end prior-authorization process for private practices for cheaper, and more accurately than they're doing today.",
    "one_liner": "AI automated prior-auths for private medical practices",
    "team_size": 1,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare Services",
    "launched_at": 1772521820,
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        "full_name": "Nami Lindquist",
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    "long_description": "Eos helps clinics turn their data into actionable insights to identify more eligible patients and early care interventions.\r\n\r\nWe harmonize historical data across all systems to create standardized patient data distributions, acting like a translation layer between different applications. Then we build a centralized index over it: a compressed representation that lets petabytes of raw data stay where it is while allowing us to search and reason across it as one system.\r\n\r\nInstead of treating the visit or document as an isolated instance, we can look at it as a continuous story. We can predict how a case will resolve, trigger the required approvals and actions, and do so while reducing staff workload and recovering hospital revenue.",
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      {
        "id": 98511,
        "title": "Eos AI - Autonomous OS for hospitals",
        "tagline": "Our healthcare system is failing the people it’s supposed to serve. At Eos AI, we are fixing that.",
        "body": "**TLDR:** We help hospitals turn their historical data into intelligence they can act on, catching operational and care breakdowns before they happen.\n\nWe create standardized data representations across all systems and time, retrieving similar trajectories to generate actionable forecasts so administrators and physicians can intervene early, save staff hours, and recover revenue.\n\n**We are live (bless up!):**\n\nIn our early clinics, we are seeing \\~3x productivity improvements in admin workflows and 37% revenue recovery by identifying early intervention points and automating operational workflows.\n\n![uploaded image](/media/?type=post&id=98511&key=user_uploads/1928939/beca5e3e-27f7-475a-ae9b-f639169912f2)\n\n#feedourdoctors\n\nToday, hospitals have more data than any other industry in the world, but only 3% has been utilized to inform care decisions. And this is because healthcare is one of the most fragmented systems _somehow_ still in play:\n\n* a single patient’s data sits across EHRs, imaging systems, payer portals, specialty-specific software\n* it exists in completely different formats and distributions\n* and none of the systems can talk to each other\n\n**So what’s the solution:** move the intelligence to the data\n\nEos acts as an intelligent hub that helps healthcare systems collate all their data across fragmented sources, and make intelligent predictions on top of it. We first harmonize data across all platforms to create a unified and standardized patient data distributions and timelines, acting like a translation layer between different applications. Then we build a centralized index over it: a compressed representation that lets petabytes of data stay where they are yet allows us to search and reason across it as one system.\n\n<https://youtu.be/i4jSgAeSfMA>\n\n**What this enables us to do:**\n\nInstead of treating the visit or document as an isolated instance, Eos looks at the patient’s full history and compares it to thousands of similar patients over time. It predicts how a case will resolve, triggers the required approvals and actions, and does so while reducing staff workload and recovering hospital revenue.\n\n**The team:**\n\nI’m Arya, I studied Math and CS at Caltech and did a lot of clinical AI and bio research at Stanford and Caltech. As long as I can remember, I have always wanted to be a doctor to help people (cliché, I know, but true nonetheless!), and realized the best way to help as many people as possible is to build a tool that every doctor can use. And super excited to have Professor Kuo from Stanford on board as well!\n\n**How you can help:**\n\nWe are looking to scale our early successes. If you know anyone who works at health systems or independent clinics, would greatly appreciate an introduction!\n\nCheers,\\\nEos AI :)",
        "url": "https://www.ycombinator.com/launches/Pct-eos-ai-autonomous-os-for-hospitals",
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        "created_at": "2026-03-05T19:16:54.438Z"
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        "full_name": "George Favvas",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder @ Clara. Previously cofounder/CEO at Circle Medical (S15), the fastest-growing digital-first primary care practice. Led the business over a decade through several pivots to over $100M annualized revenue and profitability.",
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      {
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        "full_name": "Zeeshan Ahmed",
        "title": "Founder",
        "founder_bio": "Co-founder and Product Designer at Clara. Previously designed consumer app experiences at Instagram, Careem (Acquired by Uber), Circle Medical (YC15). ",
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        "linkedin_url": "https://www.linkedin.com/in/zeeshan1293/",
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        "full_name": "Caitlin Swift",
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        "founder_bio": "Nurse practitioner, clinical leader, and co-founder at Clara Health. Previously led clinical operations and quality at Circle Medical (S15).",
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        "title": "Founding full-stack growth Engineer",
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        "title": "Clara - AI-powered primary care doctor",
        "tagline": "Clara is an AI-powered primary care doctor that reads your whole medical history, diagnoses and treats. Licensed in 50 states, with clinicians reviewing all medical decisions.",
        "body": "Clara is an AI primary care doctor. AI does the heavy lifting — pulling your full medical history from 150,000+ hospitals, reading every lab against your goals, drafting refills and orders — and a licensed clinician in your state reviews and approves every clinical decision.\n\nClara is a fully licensed primary care practice in all 50 states and can be your PCP or work alongside them.\n\n[ ](https://drive.google.com/file/d/1wHNEC0dLb3QD-VTngrig1o8TMDjtE2R5/view)\n\nClara is built by the team that founded and scaled Circle Medical to over $100M in revenue, and has raised $12M pre-seed from YC and A.Capital.\n\nTry it free: <https://askclara.com>.",
        "url": "https://www.ycombinator.com/launches/QMs-clara-ai-powered-primary-care-doctor",
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        "created_at": "2026-05-14T17:51:26.469Z"
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    "id": 31064,
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "We produce patient-derived cancer datasets for licensing to pharmaceutical and AI companies. Our data comprises matched spatial transcriptomics, H&E and clinical labels. We operate our own laboratory, where samples are processed. Samples are sourced from leading biobank / hospital networks.\r\n\r\nAs R&D workflows increasingly rely on frontier AI systems, we believe there is critical need for real world datapoints so that findings translate in the clinic.",
    "one_liner": "AI and Data for Cancer Therapeutics",
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    "subindustry": "Healthcare -> Drug Discovery and Delivery",
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        "user_id": 552024,
        "full_name": "Yash Rathod",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ Origin | Computer Science @ UIUC, Computer Vision and Reinforcement Learning Research, First Prize 2022 OpenCV AI Research Competition.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yrraadi",
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        "full_name": "Malhar Bhide",
        "title": "Founder/CTO",
        "founder_bio": "CTO @ Origin | Prev: Computer Science @ UIUC, ML Research @ Wadhwani AI, Automorphic (YC S23). Published disease modeling research done in high school in Nature Scientific Reports.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/malhar-bhide-9002791a7/",
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        "id": 112652,
        "title": "Computational Biologist, Spatial Transcriptomics",
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        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Science",
        "role_type": "Biology",
        "salary_range": "$140K - $170K",
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        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
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        "id": 116342,
        "title": "Head of Data Partnerships",
        "url": "https://www.ycombinator.com/companies/origin-bio/jobs/9BFC3r8-head-of-data-partnerships",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$200K - $250K",
        "equity_range": "1.00% - 1.50%",
        "experience": "6+ years",
        "visa": "Will sponsor",
        "skills": [
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        "id": 97480,
        "title": "Origin - Safer Cell & Gene Therapies with AI",
        "tagline": "AI designed regulatory DNA sequences to program gene expression patterns",
        "body": "\n![uploaded image](/media/?type=post&id=97480&key=user_uploads/552024/dd558bc0-b110-466f-b603-d3acb473ba54)\n\nHey everyone!\n\nWe’re Yash and Malhar from Origin.\n\n**TL;DR**\n\n* Using AI to make cell & gene therapies **safer** by designing **DNA switches and dials**.\n* Our model’s synthetic regulatory sequences program precise gene expression patterns in disease cells.\n* We’re building the **largest** **proprietary dataset** consisting millions of experimentally validated regulatory DNA sequences across many different cell and tissue types.\n* Our model **outperforms Google DeepMind’s AlphaGenome** at predicting regulatory element activity.\n\n<https://youtu.be/jCN43gOy7x8?si=pkZU6sGREgiI-EHA>\n\n**The Promise**\n\nCell and gene therapies have successfully been used to treat diseases like stage IV leukemia, retinal disease, and spinal muscular atrophy. However, their application is limited due to concerns around safety and efficacy. But this drug class holds the promise of being a **durable cure** for diseases like cancer, autoimmune, neurodegenerative, aging, and more.\n\n**The Problem**\n\nToxicity events largely arise due to our inability to control **where**, **when,** and to **what** extent genes are turned on. Regulatory DNA sequences - enhancers and promoters - function to modulate the expression of genes. Current approaches to design these sequences involve naive methods like repeats of known motifs (patterns) and random ligation. These methods either **reliably yield poor candidates** or require **brute force to search** for even one promising hit.\n\n<https://youtu.be/SDJFAJULTP0?si=IYXFHLAqU88CcaXK>\n\n**Our Solution**\n\nAxis – our state-of-the-art model – is trained to design and screen regulatory DNA to activate therapeutic genes in target disease cell-states.\n\nAxis is able to rapidly sample **millions** of functional candidates when prompted by the cell-state. We’re currently testing these sequences in the lab to produce the **largest proprietary dataset** of synthetic regulatory elements, measuring their interaction with transcription factors and the phenotypic outcomes of gene expression.\n\n**Axis’ sequences have the highest predicted expression in targeted cell types**\n\nUsing Malinois, an independent and in-vitro validated prediction model by the Broad Institute, we observed that Axis’ generated sequences had the highest transcriptional activity in the cell type they were prompted by.\n\n![uploaded image](/media/?type=post&id=97480&key=user_uploads/552024/deb58343-aec7-4554-a176-d4ff1927da9f)\n\n**Axis’ sequences contain known biological features**\n\nRegulatory DNA sequences are activated when proteins called transcription factors bind to them at specific patterns of ATGCs known as motifs.\n\nHNF4A is a known master regulator of hepatocyte and liver gene expression. We observed that in the generated sequences, its known motif most frequently occurred in HepG2 (liver cell line) targeted sequences.\n\n![uploaded image](/media/?type=post&id=97480&key=user_uploads/552024/d4e9dc1a-47c7-4599-99f3-f0b4d8980c6a)\n\n**Axis’ sequences have high diversity and explore a large design space**\n\nOver 72% of our generated sequences have no BLAT alignment match up amongst themselves (using a 20bp threshold).\n\n![uploaded image](/media/?type=post&id=97480&key=user_uploads/552024/45c66f66-c144-46ac-aea9-2739e6aae6d9)\n\n**Axis outperforms Google DeepMind’s AlphaGenome**\n\nAxis demonstrates strong performance in predictive benchmarks measuring molecular properties of real regulatory sequences. These include measures like chromatin accessibility and transcription factor protein binding.\n\n![uploaded image](/media/?type=post&id=97480&key=user_uploads/552024/f1b68778-ea47-44b1-a2fc-ee4ac39c25bf)\n\n**The ask:**\n\nIf you know or are someone working on partnerships at pharmaceutical / biotech companies working in cell & gene therapies, reach out to explore:\n\n* Partnering on regulatory sequence designs for target disease cells.\n* Getting access to our proprietary dataset of sequence properties, sequence-protein interactions, and cell-state perturbations.\n\n\\\nFeel free to reach out via email at [yash@origin.bio](mailto:yash@origin.bio)",
        "url": "https://www.ycombinator.com/launches/PMG-origin-safer-cell-gene-therapies-with-ai",
        "votes": 18,
        "created_at": "2026-02-04T21:33:23.276Z"
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    "id": 31085,
    "name": "Janeen",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Janeen is built for infusion clinics. We handle prior authorizations and benefit investigations from start to finish (actually though!).\r\n\r\nBiologics are expensive medications that cost $80-$150K+ per year per patient, and often need to be administered in specific settings called infusion clinics. Medical providers buy these drugs up front to secure pricing deals and safer inventory - they are reimbursed for the cost of the medications through the patients’ insurance. \r\n\r\nCurrent medical workflows aren't built for infusion clinics. Inventory, storage, transport, and billing is still managed through paper and excel spreadsheets. And because they’re so expensive, these specialty medications are denied by insurers at a rate of 37% each year. When they are denied, when workflows fail, or patients are infused before paperwork is cleared, providers don’t get reimbursed for the medication and are left covering the costs. Ruma Care solves this so clinics get paid, patients get treated faster, and care teams spend less time fighting forms. \r\n\r\nWe work with clinics across the country and have removed 95% of all manual labor in the process.",
    "one_liner": "Prior auths and benefits investigation for infusion clinics ",
    "team_size": 5,
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    "year_founded": 2025,
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    "linkedin_url": "https://www.linkedin.com/company/janeen-care/",
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      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
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        "user_id": 2091502,
        "full_name": "Meng Fei Shen",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO @ Janeen (formerly Ruma Care). Previously, led Uber One global to 13M+ members and AI integrations for 100K+ suppliers at Walmart Data Ventures. Runs a 120+ person music collective in SF @juicytrees",
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        "linkedin_url": "https://www.linkedin.com/in/mengfei-shen/",
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      {
        "id": 97127,
        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/janeen/jobs/fUj2G2Y-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $220K",
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        "experience": "Any (new grads ok)",
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        "title": "Chief of Staff",
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        "id": 97245,
        "title": "Ruma Care: We help clinics get patients on their biologics faster",
        "tagline": "Automating prior auths for the most expensive meds",
        "body": "Ruma Care automates prior authorizations - we’re starting with clinics that administer the most expensive specialty medications.\n\nBiologics are expensive medications that cost $80-$150K+ per year per patient, and often need to be administered in specific settings called infusion clinics. Medical providers buy these drugs up front to secure pricing deals and safer inventory - they are reimbursed for the cost of the medications through the patients’ insurance.\n\nBecause they’re so expensive, these specialty medications are **denied by insurers at a rate of 37% each year**. When they are denied, **providers don’t get reimbursed for the medication and are left covering the costs.** Ruma Care solves this so clinics get paid, patients get treated faster, and care teams spend less time fighting insurance.\n\n### **Launch Video + Ruma Demo**\n\n[**https://youtu.be/WwAa5VreO0M**](https://youtu.be/WwAa5VreO0M)\n\n### **Problem**\n\nClinics can lose money when prior authorizations are denied.\n\nSpecialty medications like biologics cost $80K/year, which is why insurers are highly specific with requirements on access. Clinics are required to follow complex, hidden requirements such as:\n\n* Trying cheaper drugs first\n* Using specific drug brands or biosimilars\n* Submitting through fax instead of portals\n\nNone of this is standardized. Each insurance company has different rules, and those rules change quarterly.\n\nClinics with high volume spend thousands of man-hours on completing these forms: the average prior auth takes 30 minutes and is still submitted through paper, fax, and phone.  When it is denied, the process can stretch into weeks or months of appeals, phone calls, and faxes.\n\nDuring this time, clinics have already invested staff time and often administered high-cost drugs. If reimbursement is denied, that cost is never recovered.\n\n### **Product**\n\nWe do solve the problems in 3 ways:\n\n1. For each medication, diagnosis, and insurance combination, Ruma extracts the submission criteria required to get the drug approved by insurers.\n2. We pull out the correct forms, then automate the form-filling for prior authorizations.\n3. Lastly, we enroll patients in copay assistance programs, all in one workflow and platform.\n\nWe turn a process that traditionally spans 70+ online portals, disparate paper forms, and manual phone calling into a single, streamlined platform. As we process prior authorizations, our models learn from denial patterns to understand exactly what insurers need to see to get a prior authorization approved.\n\nWe are live across clinics in California and Nevada, and helped them cut the denial rates by 50% and reduce staff time per prior auth by 20x.\n\n### **Our Story**\n\nI quit my big tech job to work as a medical assistant. I wanted to understand why specialty medication access in America is so hard.\n\nChristina experienced this as a patient herself, she spent years fighting payers to get on her biologic treatments.\n\nWe met at Yale’s CS50 class freshmen year and built a Yale dining app for food ratings. We took an entrepreneurship break to work in Big Tech (Apple, Uber, & Walmart), and startups (Medallion, Sigma), scaling Uber One across 13M+ users and building ML models for Siri and iPhone users. We built products for customers like United Health Care and the U.S. Health & Human Services. Now we’re building Ruma Care.\n\nHere’s more about our story: [**https://substack.com/home/post/p-176970044**](https://substack.com/home/post/p-176970044)\n\n### **New Launch of Formulary Navigator - Free tool for providers**\n\nWe spoke with 150+ providers. Every one said navigating insurance coverage rules is their #1 challenge.\n\nSo we created the **Ruma Formulary Navigator.**\n\nProviders can enter the insurance plan, medication, and diagnosis, and instantly see coverage rules and prior authorization requirements. <https://ask.rumacare.com>\n\nAnd we’re providing this for free to bring better access and knowledge to the medical community. \n\nIf you know any hospital administrators, doctors, and coordinators at infusion clinics and hospital systems, we’d appreciate an introduction. \n\nFeel free to share this with any doctors, nurses, or medical admin staff struggling to understand new formulary changes in 2026: \n\n![uploaded image](/media/?type=post&id=97245&key=user_uploads/2091502/a9b48325-b1a3-492a-9687-f6733602764b)\n\n![uploaded image](/media/?type=post&id=97245&key=user_uploads/1967697/468d68f7-8ea2-4b53-97b4-f2191f8510fe)\n\n### **Our Ask**\n\nIf you know any hospital administrators, doctors, and coordinators at infusion clinics and hospital systems, and tech forward digital health clinics, we’d appreciate an introduction.\n\nThank you dearest gentle reader, [Meng Fei](https://www.linkedin.com/in/mengfei-shen/) & [Christina](https://www.linkedin.com/in/christina-lee-huang/)",
        "url": "https://www.ycombinator.com/launches/PIT-ruma-care-we-help-clinics-get-patients-on-their-biologics-faster",
        "votes": 1857,
        "created_at": "2026-01-29T18:57:44.438Z"
      }
    ]
  },
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    "id": 31086,
    "name": "Prescience, Inc.",
    "slug": "prescience-inc",
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      "Prescience"
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    "website": "https://www.getprescience.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Prescience is the preeminent health benefits platform for the world's most ambitious companies. We save employers 20-50% on health insurance while offering best-in-industry health benefits: www.getprescience.com\r\n\r\nAbout us:\r\nPrescience is building a new healthcare system for America. We train AI systems to: create, operate, insure, and deliver healthcare for employer health plans. Prescience Time Machine – an AlphaGo-like system – steers patients towards “Move 37 health trajectories” that deliver dramatic cost savings for employers. Rishab Jain and Aditya Jain, M.D. are serial entrepreneurs and brothers from Harvard & Harvard Medical School with backgrounds in machine learning and medicine. We believe abundant intelligence will bring an opportunity to fundamentally rebuild the $4.5T healthcare industry around proactive (prescient) health and wellness.",
    "one_liner": "Superintelligent health insurance that keeps employees healthy",
    "team_size": 5,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1780947683,
    "tags": [
      "B2B",
      "Health Insurance",
      "Insurance"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/prescienceinc/",
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    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/prescience-2bc9",
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    "primary_partner": {
      "name": "Ankit Gupta",
      "url": "https://www.ycombinator.com/people/ankit-gupta"
    },
    "founders": [
      {
        "user_id": 1330533,
        "full_name": "Rishab Jain",
        "title": "Founder/CEO",
        "founder_bio": "Building a prescient healthcare system. Prev. CS/Neuro @ Harvard College",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/rishab-jain-k",
        "x_url": "https://twitter.com/rishabjaink",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/57cc4755f0ec35b55ceb82a08fc87b934da21b5a.jpg"
      },
      {
        "user_id": 3202469,
        "full_name": "Aditya Jain",
        "title": "Founder/President & COO",
        "founder_bio": "Building a prescient healthcare system. MD, Harvard Medical School.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/adityajain2000/",
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    ],
    "jobs": [
      {
        "id": 107013,
        "title": "ML Research Engineer",
        "url": "https://www.ycombinator.com/companies/prescience-inc/jobs/YcWt3KT-ml-research-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$250K - $350K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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          "Machine Learning",
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      },
      {
        "id": 107167,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/prescience-inc/jobs/O7WXOyJ-founding-engineer",
        "location": "San Francisco, CA, US",
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      {
        "id": 107168,
        "title": "Founding Operations / Head of Operations",
        "url": "https://www.ycombinator.com/companies/prescience-inc/jobs/zS3Q0ob-founding-operations-head-of-operations",
        "location": "San Francisco, CA, US",
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        "role_type": null,
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      {
        "id": 114034,
        "title": "Founding GTM",
        "url": "https://www.ycombinator.com/companies/prescience-inc/jobs/9RA2c6M-founding-gtm",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$110K - $235K",
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        "visa": "US citizen/visa only",
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      {
        "id": 106632,
        "title": "Prescience: Superintelligence for the American health system",
        "tagline": "A new health insurance that saves employers money and keeps employees healthy.",
        "body": "Hey YC, we're [Rishab Jain](https://www.linkedin.com/in/rishab-jain-k/) and [Aditya Jain, MD](https://www.linkedin.com/in/adityajain2000/). \n\nToday, we’re announcing Prescience 🔮: health insurance for the age of abundant intelligence. Prescience is taking on United, Blue Cross, and every other incumbent to build the first health insurance company that doesn’t suck.\n\n**TL;DR -** Prescience is a health insurance solution built for a world with AGI. We help cut premiums by 20%, offer $0 deductibles, include GLP-1s and other modern medicines, and have no hidden fees: we’re only paid when we save you money. We’re already helping some of America’s most ambitious companies save money, provide better benefits, and keep employees healthy so they can focus on their business. [www.getprescience.com](http://www.getprescience.com)\n\n[youtube.com/watch?v=PBqyj9zP4BY&amp;feature=youtu.be](http://youtube.com/watch?v=PBqyj9zP4BY&feature=youtu.be)\n\n**The Problem**\n\nHealthcare is a $6 trillion industry in America. For most companies it's the second-highest line item on their P&amp;L, with costs rising about 15% every single year.\n\nEmployers keep paying more and getting less. Deductibles climb and the best benefits get cut. Even employees with \"good\" insurance still end up with denied claims, surprise bills, and debt.\n\nNothing changes because the entire industry is built to take a cut of your premium. When care gets more expensive, all of the middlemen make more money. They couldn’t care less if your people get more healthy.\n\n**Our Solution**\n\nPrescience is an AI-native health insurance that flips the incentive. Get a quote without speaking to middlemen, and get better health benefits at lower cost. That adds up to roughly **20% lower premiums**, and **better-than-platinum health benefits** like $0 deductibles, no middlemen, no fees. For YC companies, we have a Deal running with Free Wearables and GLP-1s covered.\n\nHere's how we deliver. **Time Machine** is our reinforcement learning system trained on medical histories. The same way AlphaGo found \"Move 37,\" a move no human would have played that turned out to be brilliant, Time Machine searches millions of possible health trajectories for each member and finds the non-obvious path that keeps them healthiest. Then it steers care toward that path: the right screening at the right moment, the right behavior, before a small issue ever becomes a hospital bill. We’re running a separate waitlist for YC companies who want to try Time Machine for personal use: <http://getprescience.com/time-machine-waitlist>\n\n![uploaded image](/media/?type=post&id=106632&key=user_uploads/3202469/9ec81a8e-0484-4a24-873c-9aafa87d8124)\n\nTime Machine is paired with **Crystal**: our care navigation assistant in your pocket. As an MD, I’ve seen how patients struggle to manage the labyrinth of healthcare. Hours of phone calls and wait times. Pouring through confusion insurance documents. No more - Crystal can book visits for you, answer questions about your health, and pay your bills.\n\n![uploaded image](/media/?type=post&id=106632&key=user_uploads/3202469/6d96fb46-38d8-4b14-934d-c070c77b13b4)\n\nInstead of today’s health insurance experience that forces employers to talk to brokers for weeks just to get covered, employers on Prescience get a quote in days and a plan that automatically tracks savings and does filings. We don’t just sit around and collect money from premiums, but actually try to make your employees healthy.\n\n![uploaded image](/media/?type=post&id=106632&key=user_uploads/3202469/869b2f99-6114-43c4-b8a3-4630545de430)\n\nWe are a real, full-stack solution. We’ve built out and partnered to deliver quotes, banking, HSA, MSO-PC, legal, compliance, network, risk, and any other solutions, We have a national team of top doctors who we negotiate with directly - no middlemen - and who we are able to offer fast payment, clear patient histories, and no admin paperwork. They in turn offer us heavy discounts we pass on to employers.\n\n**The Team**\n\nRishab and Aditya are brothers and serial entrepreneurs. Rishab (CEO) studied CS &amp; Neuro at Harvard, is an RSI alumni, won the International Science and Engineering Fair, and previously founded and exited an edtech company. Aditya (President/COO) earned his MD from Harvard Medical School, has been doing ML research since 2014, and is an Op-Med Fellow at Doximity.\n\nPrescience aims to rebuild the entire $6T American healthcare industry into one that is proactive and prescient, not reactive. Our vision is to be both payer and provider, as our proprietary AI and data becomes ready to take on all of medicine.\n\nReach us anytime at [founders@getprescience.com](mailto:founders@getprescience.com).\n\n**Our Ask**\n\n1. **If you’re a founder, get your quote:** at [getprescience.com](http://getprescience.com) and **use our YC deal on Bookface**! Free GLP-1 weight loss program, genetic testing, and white-glove support.\n2. **Intro us to enterprise:** Founders, Chief People Officers, Benefits Managers, Chief Medical Officers, CFOs, HRIS Platforms, or Brokers, especially at companies reviewing 2027 benefits!",
        "url": "https://www.ycombinator.com/launches/Rjs-prescience-superintelligence-for-the-american-health-system",
        "votes": 61,
        "created_at": "2026-07-21T14:07:46.343Z"
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    "id": 31090,
    "name": "Docura Health",
    "slug": "docura-health",
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    "website": "https://docurahealth.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Docura Health reduces settlement time in workers’ compensation cases by automating medical record review, chronologies, and report drafting with AI. We transform thousands of pages of records into structured, compliant summaries, helping evaluators, claim adjusters, insurers, and legal teams resolve cases faster.",
    "one_liner": "AI-Native Med-Legal Firm",
    "team_size": 3,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1771815794,
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/docura-health",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/docura-health.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/docura-health/",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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    "founders": [
      {
        "user_id": 1402321,
        "full_name": "Akhil Sachdev",
        "title": "Founder/CEO",
        "founder_bio": "Founder @ Docura Health, we're building an AI-native med-legal firm to automate workers comp workflows for doctors",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/akhil-sachdev",
        "x_url": "https://x.com/akhil_sachdev",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d0f9f166e41e3ad6470e94b4a97206a226fb9266.jpg"
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    "jobs": [
      {
        "id": 107904,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/docura-health/jobs/3lksgLk-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$130K - $180K",
        "equity_range": "1.00% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      {
        "id": 98093,
        "title": "Docura Health - AI-Native Med-Legal Firm to automate tedious workers’ comp workflows for doctors",
        "tagline": "Turn thousands of pages of medical records into draft-ready reports in minutes.",
        "body": "**Problem:**\n\nWhen a worker gets injured on the job, they see their primary doctor for treatment. The doctor treats them through a series of appointments until they reach maximum medical improvement - the point where no more treatment will improve their condition.\n\nIf the insurance company denies the claim, that's when the bottleneck kicks in. Both sides get attorneys, and they send all the medical records to a Qualified Medical Evaluator (QME) for an independent assessment.\n\nThe QME has to manually review these records. Some cases have thousands of pages, while others have tens of thousands. Even straightforward cases take 6-8 hours. Complex cases can take multiple days.\n\nThere are also agencies that take 40% of the revenue per case to do some of this administrative work for them.\n\nEither way, doctors are missing out. They're either losing significant revenue to agencies, or they're spending so much time on paperwork that they can't handle more cases.\n\n**Solution:**\n\nDocura Health automates the entire workflow:\n\nUpload medical record PDFs and case documents → we generate fully compliant record reviews and reports in 30 minutes\n\nAutomate patient history collection calls that admin staff normally handle before evaluations\n\nDoctors handle significantly more cases while keeping far more revenue per case.\n\n\\*\\*Demo Video:\\*\\*\\\n<https://youtu.be/y2CU0QIXSS4>\n\n**Progress:**\n\nWe’re live with multiple healthcare practices and med-legal expert groups. Providers working with us have doubled their case volume from the last month and some even process over 50k pages per month.\n\n**Ask From YC:**\n\n* If anyone knows any qualified medical evaluators or independent medical evaluators that are orthopedic surgeons, pain medicine doctors, or internal medicine doctors, would appreciate warm intros.\n* If anyone knows any med-legal expert groups or lawyers on both the defense and the applicant side, would also appreciate intros.",
        "url": "https://www.ycombinator.com/launches/PW9-docura-health-ai-native-med-legal-firm-to-automate-tedious-workers-comp-workflows-for-doctors",
        "votes": 5,
        "created_at": "2026-02-23T20:05:25.851Z"
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    "id": 31108,
    "name": "Strand AI",
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    "website": "https://strandai.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Strand AI develops foundation models to generate missing bio-data about patients. With this imputed data, pharmaceutical companies can select better patients for their drug trials and shave months from their drug launch timelines. We’ve already trained a multimodal foundation model that integrates spatial biology modalities, beating SOTA at a fraction of the cost.",
    "one_liner": "Multimodal foundation models to predict uncollected patient biology",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Drug Discovery and Delivery",
    "launched_at": 1769406494,
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    "url": "https://www.ycombinator.com/companies/strand-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/strand-ai.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://linkedin.com/company/strand-ai/",
    "x_url": "https://x.com/strandaibio",
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    "primary_partner": {
      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
    },
    "founders": [
      {
        "user_id": 1489450,
        "full_name": "Yue Dai",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder & CEO at Strand AI\nex-Pathos AI, Enable Medicine, Microsoft Research, Element AI.\nTrained foundation models for biology on the largest patient dataset in existence.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yued/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bbe4ba85fab9f7bec638430f58741bc9e837217f.jpg"
      },
      {
        "user_id": 3118673,
        "full_name": "Oded Falik",
        "title": "Founder/CTO",
        "founder_bio": "Cofounder & CTO at Strand AI\nEx-Enable Medicine\nBuilding foundation models to enrich biology data and improve patient outcomes.\n\nOded Falik, CTO, was the Tech Lead for Enable Medicine's spatial biology platform, scaling to 12B+ single-cell annotations and petabyte-scale pipelines. Programming since 8 years old, published first app on iOS app store at 11 years old.",
        "is_active": true,
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      {
        "id": 98178,
        "title": "Strand AI - The Data Layer for Biology.",
        "tagline": "Strand AI builds foundation models to turn sparse clinical trial datasets into complete multimodal profiles.",
        "body": "We're Yue and Oded, the founders of Strand AI ([strandai.com](http://strandai.com)).\n\n## TL;DR\n\nStrand AI develops foundation models that generate missing bio-data about patients. With this imputed data, pharmaceutical companies can select better patients for their drug trials and shave months from their drug launch timelines. We’ve already trained a multimodal foundation model that integrates spatial biology modalities, beating SOTA, at a fraction of the cost.\n\n![uploaded image](/media/?type=post&id=98178&key=user_uploads/1489450/997163fb-e9dc-478b-a083-a1d128fd25af)\n\n## The Problem\n\nEvery year, $60-100B is invested into clinical trials that do not result in approved therapies. 9 out of 10 drug trials fail. These drugs work by targeting specific biological pathways, but not every patient has the same pathways active. When a trial can't tell who has what, responders get diluted by non-responders, the effect washes out, and the trial fails. The key to selecting the right patients is multimodal data: genomics, RNA, proteins, imaging, clinical outcomes. But for any given patient, most of this data is missing. You might have their RNA expression but no pathology slides. Their genomics but not their clinical outcomes. The full picture is never there.\n\nYue saw this firsthand. Before starting Strand AI, he was building foundation models on the largest patient dataset in existence, working directly with the founders of Tempus AI. Whether predicting patient drug response, modeling disease progression, or finding new mechanisms of action, every task hit the same wall. Even with the largest dataset in existence, there simply wasn't enough to make good predictions.\n\nThe easy answer is \"collect more data.\" But multimodal patient data is expensive, invasive, and often impossible to get. Patients drop out of trials, skip evaluations, or are part of rare populations where the data simply doesn't exist.\n\n## Our Insight\n\nThe good news is that there's enough paired data across modalities that the missing biology can be intelligently and accurately predicted from what's already there. Strand AI builds cross-modal prediction models that take what you already have and predict what you don't.\n\nWe can efficiently evaluate which modalities we're able to predict accurately for a given dataset, so teams know exactly where we can fill gaps and when new measurements are needed. This lets pharma and biotech teams take their incomplete clinical cohorts and unlock precision that would otherwise be locked behind missing data.\n\n<https://youtu.be/VUkR15k8X1E>\n\n## What We've Built\n\nWe recently trained from the ground up a foundation model that predicts spatial proteomics from routine H&E staining. It beats state-of-the-art and we did it in under 6 weeks, at a fraction of the cost of comparable efforts. We were able to achieve this due to our deep, hands-on experience with both the data and the infrastructure. We’ll be deploying this model at scale for pharmaceutical and biotech companies to enrich their patient data.\n\n## About Us\n\nBefore Strand AI, we worked shoulder-to-shoulder at Enable Medicine, where we built the platform for petabyte-scale multimodal spatial biology data — single-cell resolution imaging, spatial transcriptomics, spatial proteomics, and clinical metadata — all linked at the patient level. We indexed, analyzed, and served the largest spatial biology datasets in existence. That work gave us an unusually deep understanding of what multimodal biological data actually looks like at scale — what's missing, what's noisy, and what it takes to make it useful.\n\nOded has been programming since he was 8. At Enable Medicine, he led product to build the spatial biology platform end-to-end.\n\nYue previously worked at Yoshua Bengio's Element AI, Microsoft Research, and Pathos, a Tempus AI initiative, where he built foundation models on the largest multimodal patient dataset in existence. He's built and managed ML infrastructure at scale, including clusters of thousands of GPUs.\n\nWe know how to train large models efficiently, and it shows in our costs and timelines.\n\n## Our Ask\n\nWe're looking for introductions to decision makers at pharma and biotech companies running clinical trials. If you know someone who wants to find better biomarkers, stratify patients more precisely, or catch signals they're currently missing, we can help. When a trial fails, it's not just years and capital lost, it's patients who were counting on that treatment. Better data means better patient selection, and drugs that reach the people who need them.\n\nreach us at [founders@strandai.com](mailto:founders@strandai.com)",
        "url": "https://www.ycombinator.com/launches/PXW-strand-ai-the-data-layer-for-biology",
        "votes": 604,
        "created_at": "2026-02-25T18:26:57.743Z"
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    "id": 31109,
    "name": "Beacon Health",
    "slug": "beacon-health",
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    "website": "https://www.beaconhealth.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Beacon Health (YC W26) is building AI employees that double revenue for primary care practices while also reducing the total cost of care.\r\n\r\nPrimary care is the primary source of care for over 200M Americans, but physicians don’t have the bandwidth to manage their patient panels. \r\n\r\nBeacon Health builds AI employees that automate tedious background workflows - preventative screenings, prior authorizations, referrals, and risk adjustment. We handle these workflows from start to finish, directly in their EHR.\r\n\r\nWe’re on a mission is to bring joy back to primary care.",
    "one_liner": "AI Employees for Primary Care",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1770418074,
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/beacon-health-ai/",
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      "name": "Diana Hu",
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      {
        "user_id": 775761,
        "full_name": "Mark Pothen",
        "title": "Founder/CEO",
        "founder_bio": "Bringing joy back to primary care. Embedded in a primary care practice for 6 months owning their ops - now building AI employees to do the work I was doing. ",
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        "user_id": 658344,
        "full_name": "Obinna Akahara",
        "title": "Founder/CTO",
        "founder_bio": "Bringing joy back to primary care | Physics @ UT Austin, LinkedIn, Conversion.ai",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/obinnaakahara",
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      {
        "id": 97648,
        "title": "Beacon Health - AI Agents For Primary Care 🚀",
        "tagline": "Putting value based care on autopilot",
        "body": "Howdy howdy 👋\n\nWe’re Mark and Obinna, co-founders of Beacon Health.\n\n## **TL;DR**\n\nBeacon Health is on a mission to bring joy back to primary care. We build **AI agents that put their practice on autopilot** - starting with **value based care**.\n\nOur Al agents handle workflows like quality gap closures, risk adjustment, and patient outreach, **directly in the EHR**. We own these workflows from end to end\n\nWe just went live with an independent physician association supporting **40,000 patients**.\n\n**Ask:** We’re looking to connect with organizations operating under risk-based contracts - Independent Physician Associations, Accountable Care Organizations, Integrated Networks, and operators serious about value-based care (and direct-to-employer). 📩 [**mark@beaconhealth.ai**](mailto:mark@beaconhealth.ai)\n\n---\n\n## 👹 **The Problem**\n\nPrimary care is being pushed into value-based care without the [bandwidth](https://youtu.be/Qy3eV6o55oE) to support it.\n\nMost practices are juggling:\n\n* More than a dozen quality measures\n* Risk adjustment requirements\n* After-hours patient needs\n* Fragmented EHRs and disconnected vendor tools\n* everything else…\n\nThe result is predictable: Physician frustration and money left on the table in their value based contracts.\n\nValue-based care doesn’t fail because clinicians don’t care.\n\nIt fails because the economics and operations are broken.\n\n---\n\n## 🧩 **Our Solution**\n\nBeacon Health builds **AI agents for primary care**.\n\nOur Al agents handle workflows directly in the EHR. We own them from end to end - starting by putting their **value based care on autopilot**.\n\nToday, Beacon helps practices:\n\n* **Close quality gaps** by identifying patients who need action and executing outreach or teeing up a lab order automatically\n* **Capture risk adjustment codes accurately** by surfacing missed documentation and coding opportunities\n* **Support patients after hours** with triage and follow-up that doesn’t burn out staff\n\n  ![uploaded image](/media/?type=post&id=97648&key=user_uploads/775761/d115767e-07ba-44c6-9011-434969e9949e)\n\n\nOur agents work behind scenes, learning to use the EHR like a human would.\n\nWe meet the physicians where they’re at. No new portals. No dashboards.\n\nJust infrastructure that makes value-based care actually work.\n\nWe string these workflows together, owning them from end to end.\n\n![MRI Prior Auth](https://files.chroniclehq.com/5bfd4923-cb85-4c87-b776-9bb2bcc73161-BeaconHealthDashboard4_ezgif.com_video_to_gif_converter.gif)\n\n---\n\n## **🙏 Our Ask**\n\nWe’d love to talk if you:\n\n* Work with anyone with a risk based arrangement: **Independent primary care practices, Independent Physician Association’s (also known as Physician Organizations), Accountable Care Organizations, or Integrated Networks**\n* Are a **physician or operator** struggling with the administrative burden of value based care.\n* Advise, invest in, or lead teams building the future of primary care\n\n👉 [mark@beaconhealth.ai](mailto:mark**@beaconhealth.ai)\n\nIntros mean everything at this stage.\n\n---\n\n## **👬 The Team**\n\n[Mark](https://www.linkedin.com/in/mark-pothen/) (CEO) grew up in his mom’s primary care practice. He spent the last 6 months embedded into a primary care practice, owning ops and augmenting them with AI. He previously worked on product and GTM @ several early stage healthcare startups.\n\n[Obinna](https://www.linkedin.com/in/obinnaakahara/) (CTO) has built production-grade AI systems across AI, healthcare and enterprise software. He studied Physics at UT and is a proud Nigerian 🇳🇬\n\nWe’re building Beacon Health to **bring joy back to primary care.**\n\n![uploaded image](/media/?type=post&id=97648&key=user_uploads/775761/87943253-2d66-4bd4-8b3a-967b4ab6f5ed)\n\n(In the practice with our first customer and CMO Karthik)",
        "url": "https://www.ycombinator.com/launches/POy-beacon-health-ai-agents-for-primary-care",
        "votes": 24,
        "created_at": "2026-02-09T17:44:25.698Z"
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    "id": 31113,
    "name": "CellType",
    "slug": "celltype",
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    "website": "https://www.celltype.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "CellType is building an agentic drug company. AI agents that run the full drug discovery pipeline on top of biological foundation models that simulate human biology. Our core technology, developed with Google DeepMind, has already discovered and validated a new cancer treatment signal. We’re working with Top 10 pharma.",
    "one_liner": "The agentic drug company. We simulate human biology.",
    "team_size": 5,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Drug Discovery and Delivery",
    "launched_at": 1771295425,
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      "America / Canada"
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    "stage": "Early",
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    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/celltype/",
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      "name": "Ankit Gupta",
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        "full_name": "David van Dijk",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO of CellType (W26). Yale Professor, 11,000+ citations. Built biological foundation models with Google. Building the agentic drug company.",
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        "id": 108489,
        "title": "Founding Research Scientist, Biological Foundation Models",
        "url": "https://www.ycombinator.com/companies/celltype/jobs/ynLk0Xr-founding-research-scientist-biological-foundation-models",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $250K",
        "equity_range": "0.50% - 2.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
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          "Torch/PyTorch",
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    "news": [
      {
        "title": "Sundar Pichai announces Google's AI milestone in cancer cure",
        "url": "https://etedge-insights.com/technology/artificial-intelligence/sundar-pichai-announces-google-deepmind-yale-breakthrough-in-cancer-therapy-using-ai/",
        "date": "Oct 16, 2025"
      },
      {
        "title": "Google CEO Sundar Pichai Says C2S-Scale 27B Foundation Model Generated 'Novel Hypothesis About Cancer Cellular Behavior'",
        "url": "https://www.etvbharat.com/en/technology/sundar-pichai-enn25101506952",
        "date": "Oct 15, 2025"
      },
      {
        "title": "Google’s Gemma AI model helps discover new potential cancer therapy pathway",
        "url": "https://blog.google/technology/ai/google-gemma-ai-cancer-therapy-discovery/",
        "date": "Oct 15, 2025"
      },
      {
        "title": "Google’s AI Cracks a New Cancer Code",
        "url": "https://www.yahoo.com/news/articles/google-ai-cracks-cancer-code-203652400.html?guccounter=1",
        "date": "Oct 14, 2025"
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      {
        "id": 97885,
        "title": "CellType: The Agentic Drug Company",
        "tagline": "What takes big pharma years, we aim to do in weeks.",
        "body": "We're David and Ivan — we built this technology at Yale and are now turning it into a company.\n\nAI is fundamentally changing how software gets built. Drug discovery is next.\n\n# TL;DR\n\nWe're building an agentic drug company: **foundation models that learn human biology + AI agents that run the full discovery pipeline**. Instead of mice and cell lines, we simulate what will happen in patients — before you run the trial.\n\n![uploaded image](/media/?type=post&id=97885&key=user_uploads/1493577/d81c7718-831b-4ed3-8b76-c1f050d31193)\n\nOur core technology, Cell2Sentence ([ICML 2024 paper](https://proceedings.mlr.press/v235/levine24a.html) · [C2S-Scale paper](https://www.biorxiv.org/content/10.1101/2025.04.14.648850v4)), was [featured by Google](https://blog.google/technology/ai/google-gemma-ai-cancer-therapy-discovery/) and shared by **Google CEO Sundar Pichai** (7M+ views). It teaches LLMs to understand cellular biology, and we've already used it to **discover and validate a new cancer treatment signal**.\n\n![uploaded image](/media/?type=post&id=97885&key=user_uploads/1493577/0b848ed1-640a-4601-bd61-54ab7d22f4f1)\n\n# The Problem\n\n90% of drugs fail in clinical trials. Most of that failure traces back to one thing: our preclinical models don't match humans. Mice and cell lines don't represent what actually happens in patients, so teams spend years and billions optimizing against the wrong reality.\n\nAnd the process itself is broken: massive teams, manual workflows, siloed data, and painfully slow iteration. A typical drug takes 10+ years and $2B+ to develop. Most fail anyway.\n\n[https://www.youtube.com/watch?v=MBlSLzVBnH8](https://img.youtube.com/vi/MBlSLzVBnH8/0.jpg\\)%5C%5D\\(https://www.youtube.com/watch?v=MBlSLzVBnH8\\))\n\n# Our Approach: AI Agents + A Virtual Human\n\nWe're building a new type of drug company from scratch around AI.\n\n**The vision: AI agents do the work, humans steer the science.** Today, drug R&D means hundreds of scientists manually digging through literature, analyzing data, generating hypotheses, designing experiments, and coordinating with contract labs. We're replacing that with autonomous agents that execute end-to-end.\n\n**The technology:** we taught LLMs to understand biology. Our core insight is that biology has structure, like language — gene expression profiles are sentences, cellular states encode meaning, drug responses are transformations. We built Cell2Sentence to convert single-cell biology into a form that foundation models can learn from. Unlike protein-centric approaches (AlphaFold, Boltz, ESM), we model the whole biological system — cells, tissues, microenvironments, and drug-cell interactions. **Proteins are parts; we model the machine.**\n\n**The product:** a virtual human — a computational model of human biology you can test drugs on before touching a real patient. At every stage of development, you can ask \"what will happen in humans?\" and get an answer grounded in real human data, not proxies. Target discovery, toxicity prediction, translational prediction, patient stratification, virtual trials.\n\nOur work is published at ICML 2024.\n\n# Validation: We Discovered a New Cancer Treatment Signal\n\nWe didn't just build a model, we used it to find something real.\n\nWe screened 4,000+ drugs and predicted a novel hit: a drug that could help turn \"cold\" tumors \"hot\" (more visible to the immune system) — something that wasn't previously known. We then validated it in the lab — both in cell lines and in intact human tumor microenvironments that mirror what happens in patients. **The prediction held up.**\n\nThis is the kind of result that takes traditional R&D teams years.\n\n# Traction\n\nWe're **already working with Top 10 pharma** — and every deal has been **100% inbound**. They saw the work and reached out to us.\n\n# Our Team\n\nWe're two founders with deep expertise in biology + AI who invented the underlying technology together at Yale.\n\n**David van Dijk, PhD:** Yale Professor, 11,000+ citations, published in Cell, Nature, ICML, and NeurIPS, turned down Google to build CellType.\\\n**Ivan Vrkic:** co-built the core tech at Yale (published at ICML), built software to control CERN's Large Hadron Collider, and led large-scale foundation model training at a biotech company.\n\n# Our Ask\n\nIf you're a pharma or biotech team that wants to de-risk discovery and development — especially around translational and clinical prediction — we'd love to talk. We're also looking for data partners and exceptional bio and ML builders who want to help build an agentic drug company from scratch.\n\n[david@celltype.com](mailto:david@celltype.com)",
        "url": "https://www.ycombinator.com/launches/PSn-celltype-the-agentic-drug-company",
        "votes": 25,
        "created_at": "2026-02-17T13:24:49.230Z"
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    "id": 31136,
    "name": "Scheduling Wizard",
    "slug": "scheduling-wizard",
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    "website": "https://www.schedulingwiz.com",
    "all_locations": "Washington, DC, USA",
    "long_description": "Scheduling Wizard is building the logistics infrastructure to modernize healthcare operations. Hospitals still rely on manual workflows to manage staffing, patient flow, and core operations, contributing to $760B in annual inefficiency.\r\n\r\n20 departments across 16 hospitals already outsource their physician scheduling to us, powered by our internal Scheduling Programming Language and AI-driven workflows. We work with Mass General, Johns Hopkins, UT Southwestern, UCSF, and many others.\r\n\r\nWe are actively onboarding new clients and expanding into patient triaging and provider management systems, working with partner departments at UCSF and other leading institutions. Scheduling Wizard aims to bring healthcare operations into the future by reducing administrative burden and improving clinical care coordination. Our goal is to create the AI-native administrative layer in healthcare operations.",
    "one_liner": "Logistics infrastructure to modernize healthcare operations",
    "team_size": 3,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1773244975,
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        "full_name": "Samuel Oberly",
        "title": "Founder/CEO",
        "founder_bio": "Johns Hopkins and Cambridge trained Mathematician. Building the algorithms that will drive the future of healthcare administration and resource allocation. \n\nI am an award-winning and published mathematician, including a civilian service medal for my logistics algorithms built while working for the Department of Defense. I received four degrees in my four years at Johns Hopkins and have deep expertise in algorithm development. ",
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        "full_name": "Zachary Dermody",
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        "user_id": 2098854,
        "full_name": "Abdelrahman Hamimi",
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        "founder_bio": "Co-Founder & CTO of Scheduling Wizard | MS, BS Computer science and BA Economics from Johns Hopkins University (2025) | AWS Cloud Solutions Architect Certified",
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      {
        "id": 98711,
        "title": "Scheduling Wizard: Logistics infrastructure to modernize healthcare operations",
        "tagline": "Beginning with physician scheduling and care coordination",
        "body": "Hey YC! We’re Ab, Sam and Zac.\n\n**We are building the logistics infrastructure to modernize healthcare operations, beginning with physician scheduling and care coordination, to combat rampant inefficiencies in healthcare.**\n\n[**https://youtu.be/SXIaP6D1PJo?si=ERtC2Uq2_l92gqbS**](https://youtu.be/SXIaP6D1PJo?si=ERtC2Uq2_l92gqbS)\n\n**Our Beginning:**\n\nThis all began when a doctor at Johns Hopkins told us that residents and attending physicians spend **hundreds of hours** each year scheduling. Thus began our **physician** **scheduling service**. \n\nWe built an internal **Optimization Programming Language** that lets us create complex schedules far faster than traditional methods. Our clients now review schedules we build, rather than spend hundreds of hours manually creating them.\n\nThrough our scheduling, we have built trust in healthcare logistics across major academic health systems with active contracts at **Mass General**, **Johns Hopkins**, **UT Southwestern**, **LA General**, **UCF** and more! We are actively growing and onboarding new partners.\n\n**Revelations I:**\n\nThese relationships revealed that healthcare administration, more generally, is unbelievably manual, disjointed, and inefficient. That’s why we have expanded our scope to tackle clinical care coordination. We have separated clinic operations into two segments: **The Patients**, and **The Resources**. \n\n**The Patients:**\n\nThe patient journey at most clinics begins with a referral process that leads to a triaging bottleneck before a patient can be seen. Only once this is complete can the complex systems for evaluation and treatment tracking begin.\n\n**The Resources:**\n\nManaging and tracking personnel, rooms, and time is difficult for even the best administrative teams.\n\n**The Secret**\n\nThe problem with healthcare is not on the demand side, it is on the supply side. **Care coordination is the bridge between patient needs and hospital resources.**\n\n**Revelations II:**\n\nWith our design partners at **UCSF and other major healthcare systems**, we are building patient triaging and provider management systems to improve and automate care coordination, while reducing administrative burden.\n\nWe aim to modernize healthcare operations. As our partnerships grow and our scope expands, we will become the key player in **bringing healthcare operations into the future.**\n\n**The Team**\n\nWe are a team of award-winning mathematicians, computer scientists, and logistics experts from Johns Hopkins University.\n\nOur CEO, **Sam Oberly**, is an expert in predictive logistics with a civilian service medal for his logistical coordination algorithm development. He is a published mathematician, trained at Hopkins and Cambridge. (<https://www.linkedin.com/in/sam-oberly/>)\n\nOur CTO, **Abdelrahman Hamimi**, is an AWS certified cloud solutions architect who built internal automation software at GEICO used internally across multiple departments. He graduated from Hopkins with an MS and a BS in computer science, and a BA in Economics. His entire immediate family are doctors. (<https://www.linkedin.com/in/abdelrahman-hamimi-2064ab202/>)\n\nOur COO, **Zachary Dermody**, has boots-on-the-ground experience in logistics management at Amazon and McMaster-Carr. He studied economics and computer science at Hopkins, and his mother is a practicing physician. (<https://www.linkedin.com/in/zachary-dermody-41238a202/>)\n\n**Reach us at [founders@schedulingwiz.com](mailto:founders@schedulingwiz.com)**",
        "url": "https://www.ycombinator.com/launches/Pg7-scheduling-wizard-logistics-infrastructure-to-modernize-healthcare-operations",
        "votes": 13,
        "created_at": "2026-03-11T18:24:05.215Z"
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    "id": 31160,
    "name": "Mango Medical",
    "slug": "mango-medical-inc",
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    "website": "https://mangomedical.io",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Mango Medical builds agentic surgical planning AI for orthopedic surgery. We deliver surgeon-ready plans in minutes instead of days. 8-figure LOI from a top orthopedic company. Pursuing FDA 510(k) clearance. We're building a future where every surgery follows a personalized plan.",
    "one_liner": "Foundation models for planning orthopedic surgery",
    "team_size": 3,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1772177133,
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        "full_name": "Adrian Kilian",
        "title": "Founder/CEO",
        "founder_bio": "building AI agents for orthopedic planning. ex-dentist and voice actor. we are building a world where every orthopedic surgery is patient-specific and simulated.",
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        "linkedin_url": "https://www.linkedin.com/in/adrian-kilian",
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        "user_id": 2377487,
        "full_name": "Jorge Padilla Perez",
        "title": "Founder/CTO",
        "founder_bio": "Research in AI, XR, and robotics in medicine — now building the foundations of AI for autonomous orthopedic surgeries.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jorge-padilla-perez/",
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        "id": 98730,
        "title": "Mango Medical: Taking the guesswork out of orthopedic surgeries with agentic planning",
        "tagline": "Surgery planning takes specialized engineering teams multiple business days - Mango Medical does it in seconds.",
        "body": "Hey everyone 👋\n\nWe're Adrian and Jorge, co-founders of Mango Medical Inc.\n\n**TL;DR: Mango Medical builds AI Agents that take CT scans and X-Rays and plan which implant sizes and approach works.**\n\nInstead of waiting for specialized planning engineering teams to turn-around a plan over multiple business days, orthopedic implant companies work with our APIs to submit the CT scan of a patient and receive a full surgical plan within seconds, starting with shoulder replacement surgeries.\\\n\\\nOur launch video: <https://youtu.be/mjmshBnjOBk>\\\n\\\n👉 **Ask**: If you know orthopedic surgeons and orthopedic implant companies that have surgical planning needs, we'd love to partner with them to give them instant planning tools via API and give us early feedback on our upcoming planning product.\\\nSend them to <https://mangomedical.com> or reach out to [founders@mangomedical.com](mailto:founders@mangomedical.com). \\\n\\\n**The Problem**\n\n30 million orthopedic surgeries are conducted every year, that all receive some form of medical imaging prior to surgery. \\\nRoughly 10 million of those are joint replacement surgeries that receive planning over 2 - 5 business days. This limits the use of robots and 3D printed guide systems and adds time and interruptions between when a surgeon sees the patient and when the plan can be discussed with the patient. \\\n\\\n15 million surgeries are acute fractures. Time-sensitive surgeries of high complexity, that have the same source medical imaging data, but lack the planning workflows to plan outcomes and take the cognitive load off of the surgeons. \\\n\\\nThey have to figure out how to treat their patient during the surgery, which leads to a lot of trial and error, wasted operating room time, wrong implants, complications and revision surgeries. The number 1 request from surgeons we have received was for them to be able to have patient-specific plans for these complex cases.\\\n\\\nWhen surgeries become plannable instantly, it opens the door to planning multiple scenarios and giving surgeons peace of mind that they know how to face the surgery they are entering in the operating room.\n\n\\*\\*When planning can be done instantaneously, all surgeries can be planned in time.\\*\\*\\\n\\\n**The Team**\n\n**Adrian Kilian** (CEO): Dentist and maxillofacial surgery researcher, Stanford GSB Ignite Allumni, former voice actor.\n\n**Jorge Padilla Perez** (CTO): Contributed to the original U-NET paper and collaborated with ETH Zurich, Stanford, University of Augsburg, and TU Munich in his research on medical imaging.\n\n![uploaded image](/media/?type=post&id=98730&key=user_uploads/412078/b905b853-a495-40d0-a0a5-5d3c8851c2ab)\n\n",
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        "votes": 18,
        "created_at": "2026-03-12T00:48:50.030Z"
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    "id": 31163,
    "name": "Opalite Health",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Opalite makes it easy for healthcare providers to communicate with non-English speaking patients. We’re built to work inside existing clinical workflows, so providers can communicate in real time without waiting for an interpreter or delaying care. \r\n\r\nOpalite is available instantly, 24/7, and replaces traditional interpretation services with software that’s more reliable and saves millions of dollars per year.\r\n\r\nWe've built a voice AI system that is the safest, most compliant, and most accurate medical interpreter in the world.",
    "one_liner": "Helping Healthcare Providers Speak Any Language ",
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    "launched_at": 1768325224,
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    "batch": "Winter 2026",
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    "year_founded": 2025,
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    "linkedin_url": "https://www.linkedin.com/company/opalite-health/",
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      "name": "Tyler Bosmeny",
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        "user_id": 657915,
        "full_name": "Alex Mehregan",
        "title": "Founder/CTO",
        "founder_bio": "CTO Opalite Health. Former Apple engineer. Berkeley EECS grad. Wrote software that touched many millions of users.",
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        "linkedin_url": "https://linkedin.com/in/alex-mehregan",
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        "title": "Founding Technical GTM",
        "url": "https://www.ycombinator.com/companies/opalite-health/jobs/bNedVAD-founding-technical-gtm",
        "location": "San Mateo, CA, US",
        "type": "Full-time",
        "role": "Sales",
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        "salary_range": "$70K - $200K",
        "equity_range": "0.10% - 0.30%",
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        "id": 97038,
        "title": "Opalite Health: Helping Healthcare Providers Speak Any Language",
        "tagline": "Making medical interpretation instant, reliable, and affordable at scale for hospitals and clinics.",
        "body": "One of the hardest things to scale in healthcare is also one of the most basic: making sure patients and clinicians actually understand each other.\n\n**TL;DR**: [Opalite](https://www.ycombinator.com/companies/opalite-health) helps healthcare providers communicate with patients who don't speak English with an AI medical interpreter that saves 20% time per session and millions annually on interpretation costs.\n\nLaunch Video: <https://youtu.be/_AMvW9Co9do?si=YTKM4wGUgz0-qmrs>\n\n\n**🤯 The Problem**\n\nWhen patients and providers don't speak the same language, critical medical information gets lost - symptoms are misunderstood, diagnoses are wrong, and patients can't follow treatment plans. \n\nOver 30 million people in the US have limited English proficiency, and these communication breakdowns lead to worse outcomes across nearly every measure. Federal law requires healthcare providers to offer interpretation to solve this, but the current solution - a human medical interpreter - doesn't work. \n\nGetting an interpreter takes up to 30 minutes, if one is available at all. When they do connect, interpreters frequently omit or mistranslate important details, especially in fast-moving or complex visits. It also costs hospitals upwards of $1-2M per year. The system is expensive, slow, and unreliable, creating gaps in communication that put patients at risk and increase liability for healthcare organizations.\n\n\n**❤️ The Solution** \n\nOpalite is an AI-powered medical interpreter that helps healthcare professionals communicate with non-English-speaking patients. It’s available instantly, 24/7, so care doesn't have to wait for an interpreter to connect.\n\nOpalite works directly inside clinical workflows, including the EHR, allowing providers to communicate in real time without switching tools or interrupting visits. Translation quality is proven to be superior to certified medical interpreters, but at more than 50% lower cost than traditional services. Opalite also generates visit documentation automatically, reducing the amount of charting providers need to do after each encounter.\n\n\n**📊 Our progress:** \n\nOpalite is currently used daily by patients and providers across 10+ states. Our customers include hospitals, community health centers, home health organizations, telehealth providers, and clinics. We are also set to roll out in a large healthcare enterprise within the next two months. \n\n\n**💡 Our Story**\n\n[@Cathleen Kuo](https://bookface.ycombinator.com/user/1543800) is a physician and the child of immigrants who don't speak English. She has seen the language barrier issues from both sides - watching her parents struggle to communicate with their doctors, and later experiencing firsthand how language barriers compromise the care she can deliver as a physician.\n\n[@Alex Mehregan](https://bookface.ycombinator.com/user/657915) is a former software engineer at Apple where he worked on Apple Intelligence and the updated Siri - software that touches many millions of users every day. He is a 2x founder and Berkeley EECS alumni.\n\n![uploaded image](/media/?type=post&id=97038&key=user_uploads/1543800/8c237420-8e5d-47b5-8721-05769cabb1d9)\n\n\n**🙏 Our Ask:**\n\n* Know healthcare administrators, clinic directors, or hospital C-suites? We’d appreciate an intro.\n* Building a product that serves patients or providers? If language barriers affect your users, let’s chat. \n* Have experience with medical interpreters (as a provider or patient)? Your feedback would be invaluable.\n\n**Reach out at**: [cathleen@opalitehealth.com](mailto:cathleen@opalitehealth.com) & [alex@opalitehealth.com](mailto:alex@opalitehealth.com)\n\n**Visit us**: <https://opalitehealth.com>",
        "url": "https://www.ycombinator.com/launches/PF8-opalite-health-helping-healthcare-providers-speak-any-language",
        "votes": 15,
        "created_at": "2026-01-21T23:29:41.335Z"
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    "id": 31177,
    "name": "Prana",
    "slug": "prana-health",
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    "website": "https://pranadoc.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Prana replaces the reactive, 15-minute annual physical with continuous, proactive care. We connect to your medical records and wearables to watch for \"clinical drift,\" catching subtle declines in health that human doctors miss between visits.\r\n\r\nMost AI health apps are just chatbots. Prana is a full-stack medical provider. Our AI acts as a always-on physician that watches your data, explains your labs, and manages your prescriptions.\r\n\r\nSafety & Scale: We automate 90% of the \"grunt work\" (history taking, logistics, triage) so our human doctors can focus purely on high-leverage decisions. This allows us to offer 24/7 physician care for a fraction of the cost of traditional care.\r\n\r\nThe Team:\r\n - Meer Patel (CEO): JHU BME. Deferred Brown Medical School to build Prana because code scales better than appointments.\r\n- Vishvam Rawal (CTO): Ex-Quant. Building high-frequency data infrastructure for health signals.\r\n- Sanjit Menon (CHO): Graduating MD Candidate. Deep clinical expertise to ensure our models practice good medicine.\r\n\r\nTraction: Live in beta with early users.",
    "one_liner": "An AI primary care doctor in your pocket",
    "team_size": 4,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Consumer Health and Wellness",
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    "linkedin_url": "https://www.linkedin.com/company/pranahealthai",
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        "full_name": "Meer Patel",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO of Prana (YC W26). I hold a B.S. and M.S.E. in BME from Johns Hopkins. I deferred Brown Medical School to build Prana, realizing software scales better than appointments.\n\nPreviously, I was an AI Engineer at Onix, scaling GenAI solutions to hundreds of thousands of users for Fortune 500 clients. I co-developed ICPredict, a deep learning model for non-invasive brain pressure monitoring, and engineered rapid saliva diagnostics that secured strategic R&D backing from Danaher.",
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        "full_name": "Sanjit Menon",
        "title": "Founder",
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        "user_id": 3202613,
        "full_name": "Vishvam Rawal",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO of Prana (YC W26); UC Berkeley Applied Math. Prior to Prana, I worked in quantitative research and equities algorithmic development, building high-reliability production systems. I now apply that engineering discipline to healthcare, with experience deploying applied AI in medical settings, having previously engineered voice agents for medical billing and custom chatbots for physical therapy clinics.",
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        "id": 97692,
        "title": "Prana - An AI Doctor that Monitors You 24/7",
        "tagline": "Prana is an AI primary care doctor in your pocket",
        "body": "Hey YC! We’re **Meer**, **Vishvam**, and **Sanjit** — the founders of **Prana**. ([pranadoc.com](http://pranadoc.com))\n\nTL;DR:\\\nPrana is the \"Always-On\" AI Doctor. We replace the reactive annual physical with continuous, proactive monitoring. We connect to your medical records and wearables to detect \"clinical drift\" (like rising blood pressure or glucose) weeks before it becomes an emergency.\n\n**The Problem**\\\nPrimary care today is episodic and reactive: you only see a doctor when you are already sick. Real health issues don’t happen overnight; they happen in the \"drift\" between visits. Because data is siloed (your Oura ring doesn’t talk to your Epic chart), doctors miss the full context of your health, often leading to late detection of metabolic disease and chronic illness.\n\n**The Solution**\\\nPrana acts as a 24/7 intelligent layer on top of your health data.\n\n* **Unified Profile:** We aggregate your history (EHRs via Fasten) and real-time biometrics (Wearables via Junction) into a single clinical timeline.\n* **Continuous Monitoring:** Instead of waiting for you to complain, our AI acts as a background monitor, analyzing your data for anomalies and drift.\n* **Doctor-in-the-Loop:** When risks are detected, the system escalates to our physician network for immediate intervention—turning passive data into active care.\n\n<https://youtu.be/T0NoisWj0Ic>\n\n**The Team** We are combining clinical expertise with high-frequency data engineering.\n\n* **Meer Patel (CEO):** JHU BME. Deferred Brown Medical School to build Prana because code scales better than appointments.\n* **Vishvam Rawal (CTO):** Ex-Quant (Weiss/Barclays). Leveraging algorithmic trading experience to build high-frequency infrastructure for health signals.\n* **Sanjit Menon (CMO):** Graduating MD. Previously co-founded and scaled an AI medical education platform to 400+ customers.\n\n**Our Asks**\n\n1. **Try the Beta:** We are live! If you are interested in longevity, metabolic health, or just want a doctor who actually knows the full story, sign up: (pranadoc.com/login)\n2. **Intros:** We are looking to pilot with **self-insured employers** who care about reducing metabolic risk in their workforce. If you know a Benefits VP or a forward-thinking founder, we’d love an intro.\n\nCheers, Meer, Vishvam, & Sanjit\n\n![uploaded image](/media/?type=post&id=97692&key=user_uploads/2574475/d4b4b037-bce4-460d-8fcc-3bb04a9d9f97)\n\n",
        "url": "https://www.ycombinator.com/launches/PPg-prana-an-ai-doctor-that-monitors-you-24-7",
        "votes": 18,
        "created_at": "2026-02-10T19:01:48.568Z"
      }
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    "id": 31183,
    "name": "Patientdesk.ai",
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        "user_id": 2594817,
        "full_name": "Oncel Ozgul",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder @ Patientdesk.ai. Aced the Turkish National High School Exam and ranked #1 across 1.2 million students. Graduated with near 4.0 GPA from the #1 ranked university in the Netherlands. ",
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        "user_id": 2623620,
        "full_name": "Emre Kaplaner",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder @ Patientdesk.ai. Ranked #1 out of 1.2M students in the Turkish national high school exam. Studied Data Science & Econometrics at UvA with 3.98 GPA. Turned down LSE twice to build Patientdesk with my co-founders.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/emre-kaplaner-7b3a3b15b/",
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      },
      {
        "user_id": 2617266,
        "full_name": "Fikri San Koktas",
        "title": "Founder/COO",
        "founder_bio": "Building AI agents for dental practices at Patientdesk.ai. BSc Computational Engineering & MSc AI @ Aalto University. Ranked 1st among 1.2M students in Turkish national high school exam.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/fikri-san-koktas-47a73b1ab/",
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      {
        "id": 98988,
        "title": "Patientdesk.ai: AI Native Operating System for Dental Clinics",
        "tagline": "All-in-one operating system built for real dental workflows.",
        "body": "**TL;DR:** Patientdesk handles inbound and outbound calls, scheduling, live insurance verification, claims submission, and billing for dental clinics — all in one system. We grew from $17K to $50K MRR in 8 weeks and have driven $1.8M in incremental revenue for our customers.\\\n\\\n<https://youtu.be/1liipoEyTuk> \n\n👋 **Hi, we're Oncel, Şan, and Emre.**\n\nWe've been best friends since 2016. All three of us ranked #1 nationwide out of 1.2 million students on the Turkish national exam, ended up in the same high school dorm room, and have been working together ever since. Before Patientdesk, we ran a dental marketing agency and our own call center for two years. We didn't find this problem. It found us.\n\n🔴 **The problem**\n\n![uploaded image](/media/?type=post&id=98988&key=user_uploads/2594817/da263c64-fc8a-45ab-a59f-a1bbb5702156)\n\nThe US dental industry processes $189 billion in services annually across 135,000 clinic locations. Yet the average practice runs on five disconnected tools that don't talk to each other. The consequences are severe:\n\n* 15% of insurance claims are denied, 80% of those denials are preventable\n* 65% of denied claims are never resubmitted\n* Front desk staff spend up to 20 hours per week on manual insurance verification alone\n\nEvery time data moves between tools, a human moves it manually. A wrong code, a missing attachment, a verification that never made it to the claim. The clinic doesn't get paid. This is not a staffing problem. It's a coordination problem. And you can't fix a coordination problem by adding more tools.\n\n![uploaded image](/media/?type=post&id=98988&key=user_uploads/2594817/e7b525fc-ccb3-434f-be85-43a83ae665fd)\n\n✅ **What we built**\n\nPatientdesk is the AI-native operating system for dental practices. We started with the front office and we're building toward owning the entire stack.\n\nToday we handle:\n\n* **Inbound and outbound calls** — 24/7 coverage, no missed calls, no voicemails\n* **Scheduling** — books directly into the practice management software\n* **Live insurance verification** — we are the first system to verify insurance during the booking call, in real time, without any manual handoff\n* **Claims submission and denial follow-up** — we submit claims directly and follow up on denials automatically so clinics stop leaving money on the table\n* **Payments and billing** — automated reminders and collection\n\nOur goal is to replace the $15,000/month stack clinics currently use with a single platform starting at $7,500/month.\n\n📈 **Traction**\n\n* $17K → $50K MRR in 8 weeks, 39% MoM growth\n* $1.8M in incremental revenue driven for customers since September 2025\n* 60+ clinics live across the US, Australia, and the UK\n* Official voice provider for 2 major practice management platforms\n\n![uploaded image](/media/?type=post&id=98988&key=user_uploads/2594817/d5a474a4-d274-4e8c-850a-7609529246a4)\n\n🙏 **Our ask**\n\n* Intros to dental groups, DSOs, or healthcare operators\n* Feedback from founders who scaled vertical SaaS or voice-heavy products\n* Anyone who has navigated insurance and claims workflows at scale\n\nHappy to give any YC founder a live walkthrough.\n\nReach us at [founders@patientdesk.ai](mailto:founders@patientdesk.ai) or at [patientdesk.ai](http://patientdesk.ai)",
        "url": "https://www.ycombinator.com/launches/Pka-patientdesk-ai-ai-native-operating-system-for-dental-clinics",
        "votes": 13,
        "created_at": "2026-03-21T17:39:44.585Z"
      },
      {
        "id": 97818,
        "title": "Patientdesk.ai: Patient-Aware AI Booking for Dental Clinics",
        "tagline": "All-in-one patient intake system built for real dental workflows.",
        "body": "We’re **Oncel, San, and Emre**, founders of **Patientdesk**.\\\n\\\nOne quick data point before we get into it.\n\nIn December alone, one of our customers generated $350k in revenue directly from Patientdesk bookings.\\\n\\\n**TL;DR**\n\nPatientdesk is a **patient-aware AI booking system for dentists.** We handle calls, bookings, payments, and **real-time insurance verification during the call** so clinics capture more revenue and fill their calendars with higher-value appointments.\\\n\\\nWe are growing rapidly, especially in the **US**. We are live in **60+ clinics** across the US, Australia, and the UK, partnered with **3 major practice management systems**, and have been **invited to exhibit at the world’s largest dental fairs like ADX**.\n\n## <https://www.youtube.com/watch?v=eTQU6bzZ-Ww>\n\n## **The Problem**\n\nDental practices leak revenue at the front desk.\n\nCalls come in while teams are busy or after hours. Try calling a dentist in the evening or on the weekend and it will usually go straight to voicemail.\n\nPatients do not wait. They move on.\n\nThis becomes even more painful with paid acquisition. Clinics invest heavily in ads, but often follow up hours or days later. By then, the patient is gone.\n\nWhat’s left:\n\n* Missed opportunities\n* Underutilized provider calendars\n* High CAC with poor conversion\n\nThis bottleneck has existed for decades and worsens as clinics scale.\n\n## **What We Built**\n\n![uploaded image](/media/?type=post&id=97818&key=user_uploads/2594817/80f45110-8b4d-47e2-8824-15d30704d9b2)\n\nPatientdesk is an AI booking system built specifically for dental clinics.\n\nInstead of solving one piece of the workflow, we run **patient intake end to end**, without increasing staff workload or forcing clinics to change how they operate.\\\n\\\n**Unlike generic booking tools, Patientdesk is patient-aware.**\n\nIt understands who is calling, their history with the clinic, and what type of appointment they are asking about, so conversations are handled with the right context instead of starting from zero every time.\n\nPatientdesk covers:\n\n* Incoming patient calls\n* Intake and qualification\n* Appointment booking\n* **Insurance verification in real time during the call**\n* Payments and deposits\n\nAll within a single system.\n\nWe are the first system that verifies insurance live during the call within a couple of seconds. This lets clinics confirm coverage and pricing immediately, instead of booking blindly or calling patients back later, which is where many high-value cases drop off.\\\n\\\nPatients get answers immediately instead of waiting for callbacks or manual checks.\n\n## **How It Works**\n\nPatientdesk integrates directly with major clinic management systems across the US, Australia, and the UK.\n\nWe have **active partnerships with three major practice management systems**, allowing us to book, update, and verify information directly inside clinic systems.\n\nWhen something needs to be booked, checked, or updated, it happens automatically inside the clinic’s existing system.\n\nIf a patient asks about coverage, **insurance is verified on the spot**, typically within seconds.\\\nNo follow-up calls. No dropped patients.\n\nAfter the visit, Patientdesk continues to work:\n\n* We follow up with patients\n* When a payment is due, we handle it automatically\n\nThe front desk is no longer a bottleneck and becomes a revenue engine.\n\n## **Traction**\n\n![uploaded image](/media/?type=post&id=97818&key=user_uploads/2594817/c67cb867-68bb-4fbd-9106-43aebb53e2d7)\n\n* Live in **60+ clinics**, primarily dental, across the US, Australia, and the UK\n* Growing rapidly in the **US dental market**\n* Handling real patient calls every day\n* Partnered with **3 major practice management systems**\n* Invited to **the largest dental conferences and trade shows globally**\n\nPatientdesk is already the core infrastructure for the clinics we support.\n\n## **🔍 Why We’re Building This**\n\nWe did not arrive here by theory.\n\nBefore Patientdesk, we spent years working directly with clinics. We built workflows, trained front desk teams, and operated our own call center.\n\nWe saw that while there are tools for individual steps like phones, bookings, and insurance, nothing handles patient intake completely in one system.\n\nPatientdesk came from that gap.\n\n![uploaded image](/media/?type=post&id=97818&key=user_uploads/2594817/2b5239db-0031-4bf5-98d0-397bb72c06ad)\n\n## **🤝 Our Ask**\n\nIf any of the below resonate, we would love your help:\n\n* Introductions to dental groups, DSOs, or healthcare operators\n* Feedback on positioning such as AI receptionist versus intake or revenue platform\n* Advice from founders who have scaled vertical SaaS or voice-heavy systems\n\nHappy to give YC founders a live walkthrough.\n\n📬 Reach us via DM or at [**founders@patientdesk.ai**](mailto:founders@patientdesk.ai)\\\n🌐 <https://www.patientdesk.ai>",
        "url": "https://www.ycombinator.com/launches/PRi-patientdesk-ai-patient-aware-ai-booking-for-dental-clinics",
        "votes": 12,
        "created_at": "2026-02-14T03:04:54.668Z"
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    "id": 31225,
    "name": "Ditto Biosciences",
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    "all_locations": "San Francisco, CA, USA",
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      "name": "Ankit Gupta",
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      {
        "user_id": 2915094,
        "full_name": "Dennis Sun",
        "title": "Founder/CEO",
        "founder_bio": "Scientist and operator transforming natural proteins into therapies.\n\nTrained in evolutionary and developmental biology at Harvard (AB) and UC Berkeley (PhD). Previously led software teams, product development, and scientific partnerships as Chief of Staff at a $500M biotech. Now building a platform to mine proteins from viruses, ticks, and worms that will become the next blockbuster drugs for autoimmune disease.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dennis-sun-57740532/",
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      {
        "user_id": 2878238,
        "full_name": "Adair Borges",
        "title": "Founder",
        "founder_bio": "Entrepreneurial scientist using evolution to build the next generation of therapeutics for autoimmune disease.\n\nUCSF-trained PhD with expertise spanning parasitology, virology, and genomics. Published over 50 scientific papers, and is a coinventor on a patent for anti-CRISPR proteins. Former Miller Fellow at UC Berkeley, and previously led a venture creation team at an early stage biotech company. Motivated by a lifelong fascination with parasites.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/adair-borges-phd-729857222/",
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      {
        "user_id": 2929585,
        "full_name": "Emily Weiss",
        "title": "Founder",
        "founder_bio": "I'm a molecular and computational biologist working to revolutionize drug discovery for autoimmune disease. At Ditto, I lead the platform for engineering parasite-derived therapeutics.\n\nI hold a PhD in microbiology, genomics, and plant genetics, with a focus on sequencing, high-throughput screening, and computational pipeline development. Published in Nature Microbiology and eLife. Previously at Illumina, DuPont, and an early-stage biotech venture team.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/emily-weiss-939559124",
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      {
        "id": 97563,
        "title": "Ditto Bio – Evolutionary therapies for autoimmune disease",
        "tagline": "We discover new drugs by harnessing parasite biology",
        "body": "We're [Adair Borges](https://www.linkedin.com/in/adair-borges-phd-729857222/), [Dennis Sun](https://www.linkedin.com/in/dennis-a-sun/), and [Emily Weiss](https://www.linkedin.com/in/emily-weiss-phd-939559124/), the founders of [Ditto Bio](https://www.ycombinator.com/companies/ditto-biosciences).\n\n**We believe the world's best immunologists live inside of you.** \n\nTLDR; We transform parasite strategies for hacking the immune system into breakthrough drugs for autoimmune disease.\n\nViruses, ticks, and worms are the natural enemies of the human immune system. Over millions of years of experimentation, they've developed extraordinarily effective molecules to prevent your immune system from attacking them. This makes their proteins ideal drug candidates for autoimmune diseases, where a hyperactive immune system attacks the body's own tissues. We're mining the genomes of these organisms to translate these naturally occurring drugs into novel therapies.\\\n\\\n<https://youtu.be/4QFngdirw58>\n\n**The Problem**\n\n90% of drugs fail in clinical trials, when they are tested in humans for the first time. These failures come after companies invest 3-5 years and $15-20M “derisking” drugs in cells and mice. Everyone knows that cells and mice aren’t people, but without a smarter strategy, billions of dollars will continue to be wasted making drugs that will never reach patients.\n\n**Our Approach**\n\nWe start with molecules that _already work_ in humans. Parasites have been running experiments on people for millions of years, creating powerful molecules to control the human immune system. Our AI platform identifies drug-like proteins from these organisms at scale, which we then engineer into safe, effective therapeutics.\n\n**The Best Drugs Come from Nature**\n\nAspirin, penicillin, Botox, and GLP-1 agonists like Ozempic and Wegovy all originated as molecules from other organisms: aspirin from willow bark, penicillin from mold, and GLP-1 agonists from Gila monster venom. We're establishing parasites as the next transformative source of therapeutics.\n\n**Our Team**\n\nWe’re three PhD scientists trained at top institutions (Harvard, Berkeley, UCSF, UCSD) with 40+ years of experience in computational biology, host-parasite interactions, and evolution. We worked together for 3 years as early scientists at another startup before founding Ditto.\n\n![uploaded image](/media/?type=post&id=97563&key=user_uploads/2915094/304ef78d-d58a-499d-9ada-63096be7fb40)\n\n**Our Data Moat**\n\nSince founding seven months ago, we've analyzed 1M+ proteins across primate-infecting viruses, ticks, and parasitic worms. We've discovered thousands of proteins predicted to hit clinically validated human targets. Early experiments show that we have surfaced an untapped source of new drugs that act on high-value targets for immune diseases. Our proteins can achieve extremely tight binding (1–2 nM), among other drug-like properties.\n\nWe’re also building a tissue biobank that lets us map real-world immune memory to parasite proteins. This approach gives us a major advantage in tackling one of the biggest barriers facing all novel protein therapeutics: predicting and designing around immunogenicity.\n\nThe opportunity is vast: &gt;98% of viral and parasite proteins remain uncharacterized. We're systematically mining this unexplored biology at scale to find and deploy nature’s best drugs.\n\n**Our Ask**\n\nIf you’re an industry immunologist, biologics drug developer, or protein designer, please reach out at [founders@dittobio.com](mailto:founders@dittobio.com) to learn where our novel targets, natural scaffolds, and immunogenicity assays could make a difference for your drug programs.",
        "url": "https://www.ycombinator.com/launches/PNb-ditto-bio-evolutionary-therapies-for-autoimmune-disease",
        "votes": 161,
        "created_at": "2026-02-06T01:06:05.580Z"
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    "id": 31268,
    "name": "Cova",
    "slug": "cova",
    "former_names": [
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    "website": "https://cova.care/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Cova is an AI-native home care agency, licensed in Michigan. We serve Medicaid, LTCI, and private-pay patients; we pay caregivers the highest base rate in the state; and we help unpaid family caregivers get paid through programs they didn't know they qualified for. Our entire operation runs on AI agents, which means less overhead and more value passed directly to the people doing the real work.",
    "one_liner": "Financial infrastructure for family caregiving",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1782162197,
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      "Consumer Health Services",
      "Healthcare",
      "AI"
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    "batch": "Summer 2026",
    "status": "Active",
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    "city": "San Francisco",
    "country": "US",
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        "full_name": "Ansh Tandon",
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        "title": "Cova: The home care provider run by AI agents",
        "tagline": "A home care agency that scales without administrative headcount",
        "body": "**TL;DR: [Cova](https://cova.care/) is a licensed home care agency in Michigan. AI agents run the entire back office, which lets us pay caregivers the highest base rate in the state, charge families less, and help unpaid family caregivers get paid through programs they didn't know they qualified for.**\n\n<https://youtu.be/28Xmk3izvks>\n\n**The problem**\n\nThis is one of the largest, fastest-growing markets in the country. 11,000 Americans turn 65 every day, and 70% want to age at home. 53 million people are already unpaid family caregivers, over $1 trillion in economic value every year that the system doesn’t capture.\n\nBut getting someone into home care is brutal. The application and paperwork alone take weeks of back-and-forth across a caregiver, a patient and their family, a doctor, and a state caseworker, with paper forms bouncing between all of them. Most of that time isn't care; it's coordination. Most families give up before care ever starts, and caregivers wait unpaid.\n\nWhen care finally begins, caregivers suffer from missed payments and poor coordination, affecting patients downstream. All of this because existing agencies aren’t built to handle care at scale.\n\n**What Cova does**\n\nWe own the full stack: Cova is its own home care agency serving Medicaid, LTCI, and private-pay patients, and AI agents run it end to end.\n\n* **Weeks → days.** AI agents handle the applications and paperwork that normally drags on for weeks in just a few days.\n* **Zero FTE overhead = highest caregiver pay in the state.** AI agents do the coordination work, so we carry no non-caregiver headcount and pass that straight to caregivers as the highest base rate in Michigan.\n* **We get family caregivers paid.** Millions are already caring for a loved one for free and qualify for programs they've never heard of. AI agents find those programs and get them enrolled and paid.\n* **We bill the payers directly.** Because we own the agency, we make money the way agencies do, billing Medicaid, MCOs, LTCI, and private pay, just with a fraction of the cost structure.\n\n**About the team**\n\n**Jordan Ibe (Co-Founder)** – Studied Computer Science &amp; Statistics at Cornell University. Previously a Forward Deployed Software Engineer on Palantir’s Healthcare team and Software Engineer at Uber.\n\n**Ansh Tandon (Co-Founder)** – Completed a BSE &amp; MSE in Bioengineering at the University of Pennsylvania. Previously a Deployment Strategist on Palantir’s Healthcare team and Researcher at Daffodil Health.\n\n**Our ask**\n\n* Intros to Michigan MCOs (Medicaid managed care orgs) and long-term care insurance contacts\n* Intros to Michigan hospital systems and providers: Henry Ford Health, Corewell, and similar\n* Intros to Michigan discharge planners, hospital case managers, and social workers who place patients into home care\n* Know a family caring for an aging loved one in Michigan? Send them our way! We'll check for free whether they qualify to get paid:[ cova.care](http://cova.care)\n\nAnsh &amp; Jordan, [founders@cova.care](mailto:founders@cova.care)",
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        "created_at": "2026-08-06T21:19:22.615Z"
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    "subindustry": "Healthcare -> Healthcare IT",
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        "full_name": "Moody Abdul",
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        "full_name": "Alexander Bergholm",
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        "title": "The crisis behind the mental health crisis: therapist operational overload",
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        "date": "Jun 28, 2026"
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        "url": "https://www.ibtimes.com/what-therapists-know-about-problems-we-keep-debating-3804004",
        "date": "Jun 12, 2026"
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        "url": "https://www.techtimes.com/articles/318205/20260611/klarify-founder-moody-abdul-ai-should-handle-busywork-not-therapy.htm",
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      {
        "id": 101227,
        "title": "Klarify 🌱 AI Agent for Therapists",
        "tagline": "Klarify handles every job a therapist does other than the therapy itself.",
        "body": "Hey YC!\n\nWe're [Moody](https://www.linkedin.com/in/moodyabdul/) and [Bergie](https://www.linkedin.com/in/bergholmalexander/), co-founders of [Klarify](https://klarify.ca).\n\n## TL;DR\n\nTherapists work alone. Klarify is the AI agent that handles every job a therapist does other than the therapy itself: clinical notes, treatment plans, insurance claims, between-session resources, and finding new clients. Nearly 6,000 therapists use Klarify today, and we're growing fast.\n\n**Ask:** Know a therapist or clinic owner? Send them this post or reach us at [moody@klarify.ca](mailto:moody@klarify.ca).\n\n<https://www.youtube.com/watch?v=K_xNXWnlf98>\n\n## The Problem\n\nDoctors have assistants. Lawyers have paralegals. Therapists work alone.\n\nThey spend their evenings on the work they didn't sign up for: clinical notes, treatment plans, finding new clients, fighting insurance denials.\n\nPractice management software has existed for decades. It stores what therapists do. It can't actually do any of it.\n\nExisting software stores notes but can't use them. Schedules clients but can't find new ones. Submits insurance claims but can't fight denials.\n\n## Our Solution\n\nKlarify does. Klara handles the work other than the therapy itself:\n\n* 📝 **Notes**: drafted from the session in seconds\n* 🩺 **Treatment plans**: personalized to each client\n* ✉️ **Clinical letters**: referrals, third-party reports, court letters\n* 🧾 **Insurance claims**: submitted, denials fought automatically\n* 📋 **Between-session resources**: customized homework and client check-ins\n* 📈 **Finding new clients**: AI-generated content that brings them in\n* And much more…\n\n> Klarify gave me something I didn't realize I had lost: time and energy. It has changed not only how I work, but how I live.\"\\\n> — Kelly Copeland, M.Ed, Registered Counselling Therapist\n\n## Where We're Going\n\nMental health is a global problem. Every therapist, in every country, runs into the same wall: they're alone with the work no one trained them for.\n\nUS outpatient mental health alone is a $40B market. Klara works in any language.\n\nIn a few years, the solo therapist runs a 7-figure practice. The 50-clinician group runs lean. All due to Klarify handling everything other than the therapy itself.\n\n## Our Ask\n\nTherapists, try us free at [klarify.ca](http://klarify.ca).\n\nFor therapist intros, investors in health/AI/vertical SaaS, or press covering AI in healthcare or mental health innovation: [info@klarify.ca](mailto:info@klarify.ca)\n\n## The Founders\n\nWe both have therapists who changed our lives. Klarify is what we wanted them to have.\n\n**Moody (CEO)** is a second-time founder. He previously co-founded [Circleback.ai](http://Circleback.ai), an AI meeting notes app. Before that he sold $20M in enterprise contracts at LinkedIn. He hosts the Future of Therapy Podcast.\n\n**Bergie (CTO)** has built LLM infrastructure at Workday. He holds a patent and a published paper from UBC in computer vision for self-driving cars, and researched deep learning with the Finnish Military's Special Task Force.\n\n![uploaded image](/media/?type=post&id=101227&key=user_uploads/303925/8a84fe0f-f147-46bc-a029-08b17c7b62e9)\n\n",
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    "long_description": "Illume is a 24/7 AI personal health & longevity companion that connects your wearables, blood panels, and genomic data to text you personalized and actionable insights. We pull in your health data and fuse it into one secure model. You get daily text updates on what changed, what it means, and what to do next; conversational health Q&A like \"What should I do to improve my bloodwork?\"; cross-data trend detection that catches patterns individual platforms miss; and a full platform to dig deeper, explore your health data, and text your Illume agent anytime. We're 3 MIT grads & friends, with experience at Windsurf, MIT CSAIL, Eli Lilly, & the Broad Institute. ",
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    "city": "San Francisco",
    "country": "US",
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        "full_name": "Pari Latawa",
        "title": "Founder",
        "founder_bio": "Founder at Illume Labs (S26)\nMIT BS + MEng in CS & Biology",
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        "full_name": "Frank Lee",
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        "founder_bio": "Founder at Illume Labs (S26). CS + Math @ MIT.\nPreviously software engineer at Windsurf and researcher in Pulkit Agrawal Lab @ MIT.",
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      {
        "id": 106534,
        "title": "Illume Labs - Your 24/7 personalized health companion",
        "tagline": "Illume is a 24/7 personal health companion that connects your wearables, nutrition, workouts, and lab results to give you personalized, actionable insights over text. ",
        "body": "**Hey everyone 👋!** We’re [Pari](https://www.linkedin.com/in/paridhilatawa/), [Frank](https://www.linkedin.com/in/frank-lee-/), and [Jin](https://www.linkedin.com/in/jinwong01/), co-founders of Illume. \n\n**TL;DR:** Illume is a 24/7 personal health companion that connects your wearables, nutrition, workouts, and lab results to give you personalized, actionable insights over text. \n\n**Join our private beta waitlist: [www.illumelabs.ai](http://www.illumelabs.ai). \\\nWatch Our [Launch Video](https://www.youtube.com/watch?v=bsfFOzB0Nho):**\n\n**Problem:** \n\nHealth data is more abundant than ever, but it remains scattered. Nearly six in ten U.S. adults own a wearable or connected health device, and nearly one in three used an AI chatbot for health questions. People are generating more health data than ever and actively looking for help understanding it, but their data and guidance still live in separate places. \n\nWe saw this firsthand as family members struggled to piece together glucose readings for diabetes and blood tests for cardiovascular risk, all while juggling a pile of fitness, nutrition, and health-tracking apps that never talked to each other. \n\nPeople increasingly turn to ChatGPT or Claude for answers, but without continuous context to their health, the advice is often generic, incomplete, and difficult to track over time.\n\n**Our solution:** \n\nIllume creates one home for your health and gives you a personal health companion you can text. \n\nToday, you can: \n\n* Connect your wearable and automatically sync sleep, activity, and recovery data \n* Text Illume photos of your meals to log and understand your nutrition \n* Record workouts and track your training \n* Upload bloodwork and lab results \n* Ask questions about your health using the context of your own data \n* Receive proactive insights about what changed, what it might mean, and what to do next\n\nFor example, you can ask: \n\n* “Why am I so exhausted today? Make me a dashboard of all the relevant metrics!” \n* “How has eating late affected my sleep?”\n* “Am I recovering well enough to train? Run a regression!”\n* “What should I focus on before my next blood test?”\n\nIllume connects patterns across your data that individual platforms can’t see, giving you a more complete picture of your health instead of another isolated score or dashboard. \n\nYou can text your Illume agent for quick answers or use the platform to explore your data, trends, and history in greater depth.\n\n**Our mission**\n\nOur long-term vision is to make healthcare more proactive, continuous, and personalized. \n\nBy combining continuous biometrics with nutrition, training, blood panels, and eventually genetic risk, Illume could help surface meaningful changes earlier and help people understand their susceptibility to conditions such as cardiovascular disease, diabetes, and Alzheimer’s. \n\nWe want to help people move from asking, “What happened?” to understanding what may be changing and what they can do about it. \n\n**Who’s it for:** Illume is initially designed for people who are proactive about their health and longevity- especially lifters, biohackers, and anyone already using wearables, blood panels, CGMs, nutrition trackers, or genetic testing.  \n\n**Who we are:** We’re three MIT graduates who met in freshman year! \n\n[Pari Latawa](https://www.linkedin.com/in/paridhilatawa/): MIT BS &amp; MEng in CS + Molecular Biology. Previously conducted research at the Broad Institute, Eli Lilly, &amp; MD Anderson. Founded EasyComm to build tools for children with Down Syndrome, and SparkED, a health-literacy nonprofit.\n\n[Frank Lee](https://www.linkedin.com/in/frank-lee-/): MIT BS in Computer Science and Mathematics. Conducted RLAIF research for language models at MIT CSAIL and previously built agent systems at Windsurf.\n\n[Jin Wong](https://www.linkedin.com/in/jinwong01/): MIT BS in Business Analytics. Previously conducted research at the MIT Media Lab and deployed coding agents at Windsurf. \n\n**Our ask:** \n\n**Join the private beta waitlist at [www.illumelabs.ai](http://www.illumelabs.ai).** We’ll invite an initial group of founding members to receive early access and help shape the product. \n\n**If you want to chat or can intro us** to someone in training, sports, longevity, and/or biohacking, email us at [founders@illumelabs.ai](mailto:founders@illumelabs.ai). We’d love to stop by, chat, and show you how Illume works! ",
        "url": "https://www.ycombinator.com/launches/RiI-illume-labs-your-24-7-personalized-health-companion",
        "votes": 28,
        "created_at": "2026-07-20T17:02:49.112Z"
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    "id": 31383,
    "name": "Juno",
    "slug": "juno-chat",
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    "website": "https://junocompanion.com/",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Juno is an AI personal health assistant for the 1B+ people living with chronic illness.\r\n\r\nLaunched in October, Juno now supports 300,000+ patients globally.",
    "one_liner": "AI Health Assistant for Chronic Illness",
    "team_size": 5,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Consumer Health and Wellness",
    "launched_at": 1776751581,
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    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
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    "regions": [
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      "Europe"
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    "stage": "Early",
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    "year_founded": 2025,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/junocompanion",
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        "user_id": 2576001,
        "full_name": "Isaac Tolley",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CTO of Juno. Previously built medical chatbots for the NHS, Founder's Associate at Mimotype (protein engineering) and neuroscience researcher at UCL. Studied Molecular Biology at UCL, ranked 2nd.",
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        "full_name": "Marshall Gould",
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        "is_active": true,
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        "id": 98425,
        "title": "Founding Mobile Engineer at Juno",
        "url": "https://www.ycombinator.com/companies/juno-chat/jobs/tuWodMs-founding-mobile-engineer-at-juno",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "iOS",
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        "equity_range": "0.50% - 1.00%",
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        "visa": "Will sponsor",
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          "iOS",
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        "id": 99251,
        "title": "AI Founding Engineer at Juno",
        "url": "https://www.ycombinator.com/companies/juno-chat/jobs/TPnzNRU-ai-founding-engineer-at-juno",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "experience": "3+ years",
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        "url": "https://www.ycombinator.com/companies/juno-chat/jobs/RIUxbN6-growth-operations-intern",
        "location": "San Francisco, CA, US / London, England, GB / Remote (US)",
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    "news": [
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        "title": "How These Three AI Healthcare Companies Are Restoring The Human Touch",
        "url": "https://www.forbes.com/sites/alisoncoleman/2026/03/04/how-these-three-ai-healthcare-companies-are-restoring-the-human-touch/",
        "date": "Mar 03, 2026"
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    "launches": [
      {
        "id": 101749,
        "title": "Juno - AI Health Assistant for Chronic Illness",
        "tagline": "Juno helps people living with chronic illness reduce their symptoms and shorten the path to a diagnosis",
        "body": "Hey YC! 👋\n\nWe're [Isaac](https://www.linkedin.com/in/isaactolley/) and [Marshall](https://www.linkedin.com/in/marshall-gould/), co-founders of [Juno](https://junocompanion.com/).\n\n**TL;DR:** Juno is an AI personal health assistant for the 1B+ people living with chronic illness. Over 80,000 people already use Juno to reduce their symptoms and shorten the path to a diagnosis.\n\n**_Ask:_** Know someone living with chronic illness? Send them [Juno](https://junocompanion.com/) - we support a broad range of conditions including fibromyalgia, long COVID, POTS, ME/CFS, EDS, endometriosis, lupus, MS and many more.\n\n<https://youtu.be/KIxKP8iUG10>\n\n#### ❌ The Problem\n\nOver 1 billion people live with chronic illness: fibromyalgia, long COVID, POTS, ME/CFS, EDS, endometriosis, lupus, MS and many more.\n\n* Patients spend months waiting for appointments, then get 15 minutes to explain years worth of symptoms\n* The average diagnosis takes 7.6 years\n* Many now turn to ChatGPT and Claude for advice, but without continuous context, the advice is generic and rarely actionable\n\n#### 👬 Our Story\n\nWe started building Juno after growing up with chronic conditions ourselves. Isaac waited 14 years for an eosinophilic bronchitis diagnosis. Marshall lives with ME/CFS and is still searching for something that helps. We spent the last year conducting research at Oxford and UCL to understand what makes people engage with medical chatbots, to allow Juno to ask the right questions at the right time and comprehensively understand each user’s health. \n\n![uploaded image](/media/?type=post&id=101749&key=user_uploads/2576001/267e13c1-8296-4daf-8903-67cc817c56de)\n\n#### 🩺 The Solution\n\nJuno builds a longitudinal health profile from your conversations, biometrics, and medical history to provide:\n\n* **💬 Personalised symptom advice** - guidance that actually makes sense for your body\n* **📊 Continuous tracking** - symptoms logged automatically through natural conversation, by text or voice\n* **🔍 Pattern detection** - identifies triggers and patterns over weeks and months\n* **📄 Appointment-ready PDFs** - turn months of data into a summary your doctor can instantly understand\n\n![uploaded image](/media/?type=post&id=101749&key=user_uploads/2576001/18c9d3ee-5e7f-4b89-9465-09ecf9ea380e)\n\n#### 📈 Where we’re at (after 6 months)\n\n* **80,000 users** globally, grown primarily through our organic content\n* **9,000+ five-star** App Store reviews\n\n![uploaded image](/media/?type=post&id=101749&key=user_uploads/2576001/277ec7df-3d59-4171-bb3b-e5fbda59ff1c)\n\n#### 🙏 Our Asks\n\n1. **Know someone with a chronic illness?** Please share Juno with them. We support a wide range of conditions including fibromyalgia, long COVID, POTS, ME/CFS, EDS, endometriosis, PCOS, lupus, MS, and many more. We'd love their feedback and hope it can be helpful.\n2. **Intros to operators who've scaled consumer health products.** We're growing fast but Juno can reach far more people.\n\n👉 Please share any feedback and contact us at [team@juno-chat.com](mailto:team@juno-chat.com)\n\n Download the app here: [https://junocompanion.com](https://junocompanion.com/)",
        "url": "https://www.ycombinator.com/launches/QT7-juno-ai-health-assistant-for-chronic-illness",
        "votes": 26,
        "created_at": "2026-05-22T02:55:43.272Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Taiga automates medical billing for doctor's offices. A doctor uploads their visit data, our AI figures out the right billing codes, checks the claim for errors, and submits it to insurance, dealing with any denials. Faster billing, fewer rejected claims, less busywork.                                                       \r\n                                                                                                                        \r\nWe're Nanda and Adam, friends since 3rd grade. Both of our parents are doctors with their own practices, and billing was always a source of stress and lost revenue for them. We want providers to treat patients while we handle the rest.",
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    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare Services",
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      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 2430601,
        "full_name": "Nanda Guntupalli",
        "title": "Founder/CEO",
        "founder_bio": "Nanda grew up doing billing at his parents' medical practice, giving him firsthand experience with the broken revenue cycle process Taiga is fixing. He published research in IEEE and patented a transformer design deployed across the East Coast, both at 16. While at the University of Pennsylvania, he worked at Refresh (YC P25), where he built RL environments for operating EHRs.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nanda-guntupalli",
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      {
        "user_id": 2909293,
        "full_name": "Adam Wax",
        "title": "Founder/CTO",
        "founder_bio": "Adam co-founded Taiga after growing up working at his parents’ medical practice and seeing how billing kept staff from focusing on patient care. Previously, while studying CS and math full-time, he worked full-time at Refresh (YC P25), building healthcare RL environments that helped secure a $2M frontier AI lab contract. He also built CMS workflows at Hearst used by 2,600+ editors across major media brands.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/adam-wax/",
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        "id": 110414,
        "title": "Medical Billing Specialist",
        "url": "https://www.ycombinator.com/companies/taiga/jobs/0IbsKur-medical-billing-specialist",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$90K - $120K",
        "equity_range": "",
        "experience": "2+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 110415,
        "title": "Denials & A/R Recovery Specialist",
        "url": "https://www.ycombinator.com/companies/taiga/jobs/BhnDFsN-denials-a-r-recovery-specialist",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "$100K - $135K",
        "equity_range": "",
        "experience": "3+ years",
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      {
        "id": 110416,
        "title": "Customer Success Manager",
        "url": "https://www.ycombinator.com/companies/taiga/jobs/Zsi01cN-customer-success-manager",
        "location": "San Francisco, CA / Remote (US)",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$140K - $180K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 110417,
        "title": "Growth Marketing Manager",
        "url": "https://www.ycombinator.com/companies/taiga/jobs/3rsvyg6-growth-marketing-manager",
        "location": "San Francisco, CA / Remote (US)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$170K - $220K",
        "equity_range": "",
        "experience": "4+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 110418,
        "title": "Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/taiga/jobs/KAM5BXz-sales-development-representative",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$90K - $120K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 100548,
        "title": "Taiga: AI-native medical billing for modern practices",
        "tagline": "You treat the patient, we handle the rest.",
        "body": "Hey everyone 👋 We're Adam and Nanda, the founders of **Taiga**.\n\n**tl;dr:**\n\nWe automate the entire medical billing process for independent doctor's offices from coding to claim submission to denial management.\n\n<https://www.youtube.com/watch?v=HzQ13iVhbxk>\n\n**❌ The Problem**\n\nIf you've ever talked to an independent doctor about billing, you know it's a nightmare.\n\n* Independent practices either hire expensive billing staff, outsource to clunky billing companies, or doctors do it themselves after hours\n* Claims get rejected for coding errors that could have been caught\n* Denials pile up unfollowed, and revenue leaks everywhere\n\n**🌲 How Taiga Works**\n\nWe automate the entire process.\n\n* **Prior auths + benefits checks** — We check out the patient’s insurance before they come in to make billing seamless\n* **EMR Integration** — We pull visit data automatically as soon as the visit completes\n* **AI-Powered Coding & Scrubbing** — Our AI agents review clinician notes and generate procedure and diagnosis codes that are strongly supported\n* **Claim Submission** — We submit clean claims directly to insurance\n* **Denial Management** — We fight every single denial until the clinic gets paid. Every. Single. One.\n\n**🧾 Proof**\n\n> Taiga has been exceptionally easy to work with, with a responsive team always available to provide support. They successfully secured payment on a previously rejected claim by resolving an issue that had persisted for months; and they were able to accomplish that in just over a weeks time.\n\n\\- Neal Cheskis, LCSW\n\n\\\n**👫 Why Us**\n\nBoth of our parents are doctors with their own practices. We watched billing cause them stress and lost revenue our entire lives. With our background in tech and our deep emotional ties to the space, we are able to provide faster payments and cheaper service so clinicians can focus on what’s important.\n\n![uploaded image](/media/?type=post&id=100548&key=user_uploads/2909293/ba095169-9bac-4f96-97ab-753de18e4288)\n\n**Talk to us!**\n\nIf you're a doctor or know a doctor, we'd love to talk. Visit [taigabilling.com](https://taigabilling.com)!",
        "url": "https://www.ycombinator.com/launches/Q9k-taiga-ai-native-medical-billing-for-modern-practices",
        "votes": 44,
        "created_at": "2026-04-30T14:41:49.238Z"
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  },
  {
    "id": 31425,
    "name": "WonderTx",
    "slug": "wondertx",
    "former_names": [
      "A Company in Stealth Mode Incorporated"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/08d90d66366f5066cf3ad5ae02f156dc4bcc8ebe.png",
    "website": "https://wondertx.ai/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "We’re an AI-native biotech, working on replacing needles with pills. Many drugs, like insulin or Ozempic, are wonderful except you have to inject them. We discover new molecules that you can take as a pill instead. Because the pills operate on biology which has been shown to be effective in people, rather than merely in animal models of disease, we avoid what has historically been the single biggest risk in drug discovery.  This should dramatically increase our probability of success.\r\n\r\nThere’s $200B of treatable diseases and validated human biology without a pill because discovery programs lack a tractable chemical starting point. This is a zero-shot inference problem, because these targets have no training data, so LLMs and other historical interpolative AI approaches are insufficient. Instead, we are building our own extrapolative frontier models that reason beyond their training data. Most critically, we have repeatedly validated our platform on both our own and partner programs. On 4 biologically- and structurally-diverse targets where we had zero training data, we successfully picked binders that were validated experimentally, with confirmation ranging from primary screen hits to crystallographic structures.",
    "one_liner": "Extrapolative AI to unlock First-in-Class drugs",
    "team_size": 3,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Therapeutics",
    "launched_at": 1786648812,
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      "Generative AI",
      "Biotech"
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    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
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        "answer": "Imagine how drug discovery is done 80 years from now and it’s obvious that AI is going to be woven through every piece and every step.  No one believes that we will have less data, or that it will be easier to understand, or that we won’t need advanced statistical algorithms, or that the computers will be less capable.  There is an inevitability here.  But let’s not wait 80 years!  If we succeed then the path from conception to clinic for the toughest diseases, for the most difficult biological problems, becomes tractable.  Our practical outcome is simple: patients whose diseases cannot currently be drugged effectively or at all will live better longer lives. "
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    "url": "https://www.ycombinator.com/companies/wondertx",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/wondertx.json",
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    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/wondertx/",
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    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 7359,
        "full_name": "Abraham Heifets",
        "title": "Founder/CEO",
        "founder_bio": "Founder and CEO of A Company in Stealth Mode. Previously, cofounded Atomwise, the first company to deploy deep learning for structure-based drug design ($220+ million in funding; 100 hires; signed $5B in total partnership value with Sanofi, Bayer, Eli Lilly, etc; ran largest AI-driven drug discovery experiment w/ 600+ researchers in 30 countries).  Even more previous: PhD @ U of Toronto; inventor on 15 patents + applications; IBM Research; AI for Cornell’s world champion robotic soccer team.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/abrahamheifets/",
        "x_url": "https://twitter.com/AbeHeifets",
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      {
        "id": 111814,
        "title": "WonderTx: Extrapolative AI to Unlock First-in-Class Drugs",
        "tagline": "Reindustrializing our life science ecosystem.",
        "body": "Our objective is to deliver first-in-class medicines against disease targets that cannot currently be drugged effectively or at all. Therefore, we are building a lights-out wonder drug factory, where AI runs the entire design-make-test loop. Linking superhuman judgment to robotic throughput is the path to reindustrializing our life science ecosystem, not through throwing human labor at the problem.\n\nOur team has been working on this for over a decade, so we know that there has never been a better time to build this system.  Abe co-founded Atomwise, one of the first AI-for-drug-discovery companies.  We raised $220 million; hired 100 people; signed over $5B in total deal value with big pharma companies like Sanofi, Bayer, Eli Lilly, and others; and ran the biggest application of AI to hit discovery in history. Saulo solved the synthesizability problem in generative chemistry AI and wrote structural biology software that remains the standard toolkit (KVFinder; qFit3, STCRDab). Cam co-founded Xbox &amp; Xbox Live (Microsoft) and has been a CEO, CTO, COO, and CPO across AI, biotech, healthcare, and consumer tech. \n\nToday, we see the convergence of critical enabling computational, physical, and economic trend lines. Agentic systems have become proficient orchestrators and tool integrators, as the frontier labs continue to extend the time horizons over which agents can operate; in our own hands, we have already compressed compound selection timelines 10x by replacing manual processes by agentic-run. The algorithmically-accessible chemical space has been growing exponentially for two decades, and the rise of cloud labs enables closing and scaling the design loop. Finally, the looming Big Pharma patent cliff means that the ecosystem is aligned on the value of innovative new assets. \n\nAt WonderTx, we’re beginning by replacing needles with pills. Many drugs, like insulin or Ozempic, are great except you have to inject them. We discover new molecules that you can take as a pill instead. Because the pills operate on biology that has been shown to be effective in people, rather than merely in animal models of disease, we avoid what has historically been the single biggest risk in drug discovery.  This should dramatically increase our probability of success.\n\nThere’s $200B of treatable diseases and validated human biology without a pill because discovery programs lack a tractable chemical starting point, which makes this a zero-shot inference problem.  Because these targets have no training data, off-the-shelf LLMs and other historical interpolative AI approaches are insufficient. Instead, we are building our own extrapolative frontier models that reason beyond their training data. Most critically, we have repeatedly validated our platform on both our own and partner programs. On 4 biologically- and structurally-diverse targets where we had zero training data, we successfully picked binders that were validated experimentally, with confirmation ranging from primary screen hits to crystallographic structures. ",
        "url": "https://www.ycombinator.com/launches/T5S-wondertx-extrapolative-ai-to-unlock-first-in-class-drugs",
        "votes": 13,
        "created_at": "2026-08-24T12:30:00.531Z"
      }
    ]
  },
  {
    "id": 31430,
    "name": "Voquill",
    "slug": "voquill",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5abd49db087306e856126eb6c4acf3af787f1749.png",
    "website": "https://voquill.com/",
    "all_locations": "San Francisco, CA, USA",
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        "id": 101652,
        "title": "Voquill - Voice AI for Pathologists",
        "tagline": "The AI coworker that helps pathologists work cases faster",
        "body": "Hey YC,\n\nWe’re Michael, Josiah, and Henry, co-founders of Voquill.\n\n**TLDR:** Voquill is an AI coworker that helps pathologists write cases faster using their voice. Over the last 4 weeks. We’ve onboarded 25+ pathologists.\n\n<https://youtu.be/Iw3n94o52Js>\n\n**The Problem:** \n\nPathologists are doctors who diagnose diseases by looking at tissues, cells, and fluids. They spend their whole day looking through a microscope, observing patterns, and then documenting their findings. These reports can be repetitive and tedious. **Pathologists bill a total of $30-$40BN each year** **yet a third of that spend goes to documentation**, not diagnosis, which is a massive drag on a field that's already short-staffed.\n\n**Our Solution:**\n\nVoquill is an AI coworker that helps pathologists write their reports faster. Think of it like an AI resident that listens to the pathologist as they work the case and drafts the report automatically. It learns the pathologists reporting style from their old cases, and ensures every report meets the bar for quality. We go beyond dictation and don't generate a transcript, but a finished sign-out ready report instead. This enables pathologists to spend more time on patient outcomes and sign out more cases.\n\nThere is already a shortage of pathologists when compared to the case demand. **This gap is expected to increase to 25% over the next decade.** We’re building Voquill to give pathologists the tools they need to work faster. \n\n**One More Thing:**\n\nVoquill is being used by 25 pathologists from a leading F500 lab, saving each one \\~20% in case writing time every day. We started with voice reporting because it's the highest-leverage moment in the workflow. We’ve since found that it's also the right moment to fix billing: as pathologists describe what they see, **Voquill suggests the optimal CPT codes, helping labs capture more of the $8B+ they currently leave on the table.**  \n\n**The Team:**\n\nMichael and Josiah previously worked at Techcyte, where they led the AI team and architected digital pathology systems. Henry was a Principal at Oliver Wyman, building AI and automation tools for F500 firms.\n\n![uploaded image](/media/?type=post&id=101652&key=user_uploads/3291143/12ea3b4b-4f60-4a6a-8e43-07d68b0eb511)\n\n**Our Ask:**\n\nIf you know any pathology labs or pathologists that sign out cases, please introduce us by emailing michael@voquill.com. Or, book a demo [here](https://calendly.com/michael-voquill/voquill-demo).",
        "url": "https://www.ycombinator.com/launches/QRY-voquill-voice-ai-for-pathologists",
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        "created_at": "2026-05-20T16:11:12.316Z"
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    "long_description": "We know how to improve cancer outcomes by 8x-10x: you catch it early. \r\n\r\nMRI is the most robust and powerful cancer-detection tool in the world, yet systems cost millions to purchase, take months to install, and require high levels of technical skill to operate. We've redesigned MRI from the ground up with new physics, algorithms, and hardware, all to bring cancer screening to the entire world. \r\n\r\nOur mobile MRI is an imaging clinic on wheels. No equipment to buy, no infrastructure needed. For a flat per-scan fee, any medical site can offer MRI cancer screening. Starting with prostate cancer. Then everything else.",
    "one_liner": "Cancer screening without barriers",
    "team_size": 4,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1773702631,
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        "title": "Electrical Engineer",
        "url": "https://www.ycombinator.com/companies/adialante/jobs/UMcHMIR-electrical-engineer",
        "location": "Menlo Park, CA, US",
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        "experience": "Any (new grads ok)",
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        "title": "Senior Quality Engineer",
        "url": "https://www.ycombinator.com/companies/adialante/jobs/XczOeQ5-senior-quality-engineer",
        "location": "Menlo Park, CA, US",
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        "url": "https://www.ycombinator.com/companies/adialante/jobs/OyWyAGn-mri-tech",
        "location": "Minneapolis, MN, US",
        "type": "Contract",
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      {
        "id": 101289,
        "title": "Adialante: We're going to screen the world for cancer!",
        "tagline": "Our second patent just issued, a new way to make MRI.",
        "body": "**TLDR**: Adialante builds compact and mobile whole-body MRIs. We already have $12.75M in LOIs, $30k in deposits, and our first system will be scanning by demo day.\n\n---\n\n##### **About Us:**\n\n<https://youtu.be/iiRwpHPFIeM>\\\n\\\n\"Disruptive Innovation describes a process by which a product or service takes root in simple applications at the bottom of the market — typically by being less expensive and more accessible — and then relentlessly moves upmarket, eventually displacing established competitors.\" — Christensen Institute\n\nWe’re [@Efrain Torres](https://bookface.ycombinator.com/user/1230366) and [@Parker Jenkins](https://bookface.ycombinator.com/user/1298954), the co-founders of [@Adialante](https://bookface.ycombinator.com/company/31434). We met on the first floor of our engineering dorm. And when we learned what disruptive innovation was, it captured us immediately. But what to disrupt? Trained as biomedical engineers, we both learned about MRI and were in awe of the clinical value. It can diagnose cancers, strokes, dementia, and more. Yet everyone said the same thing: MRI is not accessible.\n\nSo we knew what we had to do: disrupt the industry.\n\nOver the past six years, we've invented new ways to do MRI, won millions in competitive grants, published research, secured patents (#12,625,209, #12,372,595, more to come), and built a team. And, now, we’re well on our way to disrupting the industry.\n\n##### **Problem:**\n\nWe know how to 10x cancer outcomes: **you catch it early**. MRI is the most powerful cancer-detection tool in the world, yet systems cost millions to purchase, take months to install, and require high levels of technical skill. The result? We only use MRI when it's too late.\n\n##### **Our solution:**\n\nWe've redesigned MRI from the ground up with new physics, algorithms, and hardware, all to bring cancer screening to all of us. Our MRIs:\n\n* use 50% less hardware\n* are 40% shorter and 80% lighter\n* are whisper-quiet and much less claustrophobic\n* and require no specialized infrastructure\n\nAll while maintaining the diagnostic quality patients need.\n\n![uploaded image](/media/?type=post&id=101289&key=user_uploads/1230366/e7c9bf11-8868-457b-aced-78bd369559f5)\n\nBut like Waymo, we won't sell our hardware — we'll own and operate it. We'll bring our MRIs to clinics in mobile trailers, handle its operations, and continuously improve our AI software after every scan. We're an imaging clinic on wheels. So instead of a clinic waiting months and paying millions, clinics will wait hours and pay hundreds.\n\n![uploaded image](/media/?type=post&id=101289&key=user_uploads/1230366/31ce218b-56df-4fc3-9450-5af5eea83895)\n\n---\n\nWe're starting with prostate cancer. **Over 1M men every year require an MRI before a prostate biopsy, but virtually none of the urology clinics that treat them can offer one.**\n\nAfter our per-scan fee, a clinic will collect the insurance reimbursement and make a profit. It's a win-win-win: we get the recurring revenue, they get a new revenue stream, and patients get the best imaging technology in the world. From there, the same piece of hardware expands to renal, breast, and brain scanning **until annual screening for high-risk cancers is the norm, not the exception.**\n\n**Traction:**\n\n* 6 clinics signed up\n* $12.75M in LOIs for scanner utilization\n* $30k deposited from a top ten urology clinic to reserve their spot in line\n* MRI assembled\n\n  ![uploaded image](/media/?type=post&id=101289&key=user_uploads/1230366/1fa5afed-cb5b-4f8d-a3f0-46a430043c0e)\n\n\n##### **Asks:**\n\nIntros to Urology clinics\n\n##### **Open Invitation:**\n\nWant to see our scanner? Shoot us a message! We’ll show you our system in person!",
        "url": "https://www.ycombinator.com/launches/QLh-adialante-we-re-going-to-screen-the-world-for-cancer",
        "votes": 31,
        "created_at": "2026-05-13T18:24:48.396Z"
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    "id": 31435,
    "name": "Lumius",
    "slug": "lumius",
    "former_names": [
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    "website": "https://www.lumius-imaging.com",
    "all_locations": "Durham, NC, USA",
    "long_description": "Ultrasound today is still mostly 2D. Clinicians have to imagine the 3D anatomy in their head while also moving the probe at the same time. This makes procedures like vascular access hard to learn and perform consistently, especially for beginners. ~50% fail on their first attempt. Hospitals also spend millions each year on 2D ultrasound training. Meanwhile, existing 3D ultrasound devices can cost >10× as much.\r\n\r\nLumius is building fast, smart, and accessible 3D ultrasound systems to eliminate this 2D guesswork. Our technology shows a clear, real-time 3D view of what’s inside the body. It works over a large volume, not just a thin slice. The device is also affordable, compact, and portable.\r\n\r\nWe are starting with vascular access, especially central line. Future use cases include blood clot detection, tumor diagnosis, and biopsy guidance. Our long-term vision is a universal 3D ultrasound platform that brings easy-to-use, real-time imaging to a wide range of clinical and eventually consumer applications.\r\n",
    "one_liner": "Fast, smart, accessible 3D ultrasound that anyone can use",
    "team_size": 4,
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        "full_name": "Tri Vu",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder @ Lumius. PhD in BME from Duke. Trying to make ultrasound devices that people want.",
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        "full_name": "Luca Menozzi",
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        "title": "Founding Hardware Engineer - ASICs & Embedded Systems",
        "url": "https://www.ycombinator.com/companies/lumius/jobs/XPM2fPZ-founding-hardware-engineer-asics-embedded-systems",
        "location": "Durham, NC, US / Remote (San Francisco, CA, US; Seattle, WA, US)",
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      {
        "title": "The Top Hardtech Startups in YC P26 - The Silicon Valley Post",
        "url": "https://svpost.com/articles/top-hardtech-startups-yc-p26/",
        "date": "Jun 10, 2026"
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      {
        "title": "What Y Combinator's Latest Batch Reveals About The Future",
        "url": "https://www.forbes.com/sites/dariashunina/2026/06/04/what-y-combinators-latest-batch-reveals-about-the-future/",
        "date": "Jun 04, 2026"
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      {
        "title": "The Top 5 Bio and Healthtech Startups in YC P26 - The Silicon Valley Post",
        "url": "https://svpost.com/articles/top-bio-healthtech-startups-yc-p26/",
        "date": "May 14, 2026"
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      {
        "id": 101060,
        "title": "Lumius — The 3D Camera for the Body",
        "tagline": "Fast, smart, accessible 3D ultrasound for everyone",
        "body": "**TL;DR:** Lumius is making real-time, accessible, and intelligent 3D ultrasound to advance beyond today’s widely used 2D ultrasound (500 million scans annually). Our vision is to make 3D ultrasound a universal camera for the body.\n\n<https://youtu.be/bWlJD4_Bx4k>\n\n**Backstory**\n\n![uploaded image](/media/?type=post&id=101060&key=user_uploads/3059826/d6bfe836-eb86-43cf-af8f-cf653183cebc)\n\nLuca Menozzi, Chenhang Li, and I bonded over ultrasound during our PhDs at Duke. For years, it has bothered us that ultrasound looks largely the same as it did decades ago. It is safer and more accessible than imaging tools like PET, CT, or MRI, yet it has never quite become as widely used in everyday care as it should be.\n\n**The Problem**\n\n![uploaded image](/media/?type=post&id=101060&key=user_uploads/3059826/a37bfe1d-0a2f-4738-ac51-c7628335098e)\n\nThe vast majority of ultrasound imaging today is still 2D. Clinicians have to maneuver a probe while mentally reconstructing 3D anatomy from flat images. That makes ultrasound hard to learn and difficult to use, especially for newer clinicians.  3D ultrasound does exist today, mainly for cardiac and fetal imaging, but current systems cost roughly 10x more than standard 2D ultrasound machines.\n\n**The Solution**\n\n![uploaded image](/media/?type=post&id=101060&key=user_uploads/3059826/63de8f91-ad1d-4cd2-abdc-cbd2461fcd5f)\n\nOur tech shows a clear on-the-fly 3D view of what's inside the body with AI assistance. Instead of relying on thin 2D slices, users see the full volume in context, eliminating the 2D guesswork that makes ultrasound difficult to use. \n\nOur device will be affordable, compact, and portable. AI integration will also make it context-aware and intelligent, guiding users by explaining what they’re seeing and what to do next. For example, automatically detecting and extracting blood vessels, nerves, muscle, and more. \n\nWe're starting with vascular access, particularly central line placement. This is a procedure where \\~50% of first attempts fail, especially among new clinicians. And hospitals spend millions each year training clinicians on 2D ultrasound. From there, we will expand to blood clot detection, nerve block imaging, tumor diagnosis, and biopsy guidance. Our long-term vision is to make 3D ultrasound a universal camera for the body, accessible to everyone. \n\n**Our Asks**\n\nWe'd love to hear from:\n\n* **Clinicians and hospital innovation teams** dealing with vascular access, nerve blocks, and/or ultrasound-guided procedures\n* **Med device innovators** or anyone in the healthcare/medtech space that are interested in 3D imaging guidance\n* **Anyone with feedback** on medical imaging, hardware, or FDA pathways\n\nPlease reach out to us at [contact@lumius-imaging.com](mailto:contact@lumius-imaging.com) or [book a quick call](https://calendly.com/contact-lumius-imaging/30min)\n\nSources: <https://bjcardio.co.uk/2008/01/ultrasound-guided-central-venous-access/> <https://www.semanticscholar.org/paper/Rapid-Femoral-Vein-Assessment-(RaFeVA)%3A-A-protocol-Brescia-Pittiruti/fade5949934e6e5a0fdaa8e798d5bf89934f9c50/figure/8> <https://academic.oup.com/academicmedicine/article-abstract/85/9/1462/8353240>",
        "url": "https://www.ycombinator.com/launches/QI0-lumius-the-3d-camera-for-the-body",
        "votes": 21,
        "created_at": "2026-05-08T21:35:39.201Z"
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        "full_name": "Troy Zhang",
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        "full_name": "Chloe Sow",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder of Infera (YC P26). Built research software and medical devices at Harvard Medical School, Brigham and Women's, Fred Hutch and PNNL. MechE + CS at Harvard.",
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      {
        "id": 102417,
        "title": "Infera – Control Lab Instruments with Natural Language",
        "tagline": "Infera turns a plain-English experiment into a validated, instrument-ready run",
        "body": "### **⚡TL;DR**\n\n**Infera is the Claude Code for scientific instruments.** Describe an experiment in plain English, and Infera turns it into a validated, instrument-ready run, handling the protocol logic, vendor scripts, data, and inventory across the instruments your lab already uses. One system, from intent to execution.\n\n### 🤔 **The Problem**\n\nLabs run on hardware from the future and software from the past.\n\nThe instruments are extraordinary. Mass specs identify thousands of proteins, flow cytometers read tens of thousands of cells a second, and cryo-EMs image at near-atomic resolution. These are the machines behind biomarker discovery, immunotherapy, structural biology, and drug development. But the software around them still looks like it shipped in 2003, and runs like it.\n\nWe've watched labs running \\~6 instruments from 3+ vendors write a one-off script for every experiment, stitch outputs together by hand, and track inventory in a Google Sheet someone probably forgot to update last Tuesday. Scientists spend their week being human glue between machines that should already talk to each other.\n\n### **🔍How Infera Works**\n\n[**Demo Video**](https://www.youtube.com/watch?v=3GPze4X7AeA)\n\n**I. Describe the experiment in plain English.** Infera asks the right questions, surfaces edge cases, and checks against your lab’s inventory and instrument state.\n\n**II. Infera turns it into a run, accommodating both manual and automatable steps.** For programmable instruments, it generates vendor-specific scripts, executes, pulls the data back, and runs the analysis. For manual work like pipetting, gels, hand fermentation, etc., it's the context layer underneath: which step you're on, which reagent goes where, what could go wrong, and how others in the lab have run it before.\n\n**III. The knowledge stays.** Every protocol, every validated run, every edge case becomes part of the system and checked against instrument constraints, lab SOPs, inventory, and prior experiments.\n\nThat last part is the hard part. It's what general-purpose LLMs can't do, and it's what enables a researcher to trust the output the way they'd trust a trained technician.\n\n### 👩‍🔬 **Team**\n\nHi! We’re Chloe and Troy, and we're building Infera to close the gap between science and instrumentation.\n\n* Chloe studied Mechanical Engineering at Harvard. She's been building research software and medical devices since before college (Regeneron STS Scholar), including a microfluidic device that detects harmful chemicals in household products, and has been doing research at places like Fred Hutch, Brigham and Women's, Harvard Medical School, and Pacific Northwest National Lab.\n* Troy studied Computation &amp; Neural Systems at Caltech, where he held an endowed research fellowship in a top research lab as an undergraduate. He's published two first-author cancer papers, holds a first-inventor agtech patent, and built and sold two companies before Infera.\n\nBetween us, we've run experiments by hand, written the scripts, and watched the whole system break when one person leaves. That's the problem we're building Infera to fix.\n\n### **🎯Ask**\n\nWe're currently running pilots with Boston-area academic labs and cores. If any of these are you, reach out at [**hello@infera.bio**](mailto:hello@infera.bio):\n\n* **Academic labs and cores:** know a PI or core director in proteomics, genomics, flow, automation, or screening? We'd love an intro, and we're happy to set up a pilot\n* **YC founders with wet labs (diagnostics, therapeutics, synbio, tools):** we’d love to meet whoever runs your lab ops\n* **Biotech and life sciences folks:** come say hi\n* **Instrument manufacturers** whose customers wish the software were better, let's talk\n\n![uploaded image](/media/?type=post&id=102417&key=user_uploads/3288797/b9d81458-f74b-47a8-88ac-e3cf756951b9)\n\n",
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        "created_at": "2026-06-02T15:49:42.214Z"
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    "long_description": "Harbor is building an AI-native contract research organization (CRO) for clinical trials. We started with an AI-native system of record for clinical trial data (electronic data capture system), grew the software business to seven trials and ~$187k in contracted software revenue over the next twelve months, then expanded into full-service trial execution and signed our first CRO contract worth $1.93M over three years.\r\n\r\nClinical trials consume 45% of all new drug and device development spend. While some of that goes to software, sites, and patients, the largest line items are services: project management, monitoring, data management, site coordination, source verification, query resolution, record reconciliation, and analysis.\r\n\r\nToday, drug and device companies outsource clinical operations to legacy CROs and their massive teams, which is why the CRO market is $82B annually. Harbor delivers the regulated services companies buy from legacy CROs, but built around our AI-native system of record from day one. Our software already automates the core data workflows: study build, data capture, query generation, monitoring, signing, and database lock. Because we own the system of record, we can expand into the surrounding service workflows: site contracting and billing, subject engagement and retention, statistics, reporting, and more.\r\n\r\nWe built Harbor because we lived through the problem. Albert spent four years in clinical trials and regulatory strategy at a medical device startup, taking an unproven wearable from first-in-human trials to FDA authorization. Nate brings the technical depth, having built scalable software at Google and Ramp and served as employee #1 at a previous YC startup.",
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        "full_name": "Nathan H. Leung",
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      {
        "id": 102244,
        "title": "Harbor: AI-native CRO for clinical trial operations",
        "tagline": "We're building the AI-native CRO for clinical trials, taking on the $82B outsourced clinical trial services industry.",
        "body": "Hey everyone 👋\n\nWe're Albert and Nathan from Harbor, back with a bigger vision.\n\n**TL;DR**\n\nHarbor is an AI-native contract research organization (CRO) for running clinical trials. We started as an AI-enabled system of record, and grew to seven trials and $15.6k in monthly software revenue. Now we’re expanding from clinical trial software into full-service trial execution and just signed our first seven-figure contract to run a clinical trial end-to-end for a publicly traded medical device company.\n\n**Ask**: Can you introduce us to founders who might be running a clinical study soon or directors and VPs of Clinical Operations at medical device and biotech companies? Contact us at [albert@runharbor.com](mailto:albert@runharbor.com)\n\n**🤦‍♂️The Problem**\n\nOf the money spent on new drug and device development today, 45% of it is spent on clinical trials. Some of that money is spent on software and some is spent on paying clinics and study subjects. But, the biggest line items in any clinical trial budget are made up of services ([60%-80%](https://link.springer.com/article/10.1186/s12913-024-11638-0)). Today's clinical research is contracted out to armies of project managers, monitors, data managers, and coordinators manually configuring forms, chasing sites, verifying source data, resolving queries, reconciling records, and preparing for and performing analysis.\n\n![uploaded image](/media/?type=post&id=102244&key=user_uploads/2019219/74735edb-6aea-4bc7-a658-240c0558bd7c)\n\n**🌪️ Why We're Re-Launching**\n\nWhen we first launched ([link to post](https://www.ycombinator.com/launches/PiF-harbor-ai-system-of-record-for-clinical-trial-data)), we were building an AI-native system of record for clinical trial data – an EDC system, for those who are familiar with the space. That product is working. We now support seven trials and our software can generate trial databases from protocols, automate parts of data entry, support source data verification, and produce audit-ready clinical datasets. As one of our customers noted, our platform streamlined a “standalone, two-month project”for study start up into just “two days” of work.\n\nWith encouragement from our YC partners, we decided to aim beyond just replacing one piece of software. Since we own the system of record, why not run the full clinical trial ourselves, selling the \"services\" customers already buy but using our own software to automate and compress the labor.\n\nA month ago, I hopped on a flight to Boston to try to close our first contract as a full-service contract research organization (CRO); two weeks later, we signed a seven-figure deal to run a clinical trial end-to-end for a publicly traded medical device company.\n\nDrug and device companies are already used to outsourcing their clinical operations. That's why an [$82 billion CRO](https://www.ppd.com/wp-content/uploads/2024/06/Contract-Pharma-2024.06-CRO.pdf) market exists today. We can deliver the same regulated service customers already buy from legacy CROs, but with fewer handoffs, faster execution, and better margins.\n\n**❓ Our Ask**\n\nIf you answer “yes” to any of these, we’d love your help:\n\n* Do you know any founders of biotech, medtech, or digital health companies that might be gearing up for clinical trials? Or are you one yourself?\n* Do you know any VPs or directors of clinical operations at larger pharma, biotechs, or medtechs?\n* Do you know anyone who has bought from, sold to, or operated inside clinical research organizations?\n\n👉 Contact us at [albert@runharbor.com](mailto:albert@runharbor.com)\n\nThank you!!\n\n👏 **The Team**\n\nAlbert and Nate met seven years ago in English class at the University of Michigan (\"Art of the Personal Essay\").\n\nAlbert (CEO) helped run clinical trials and regulatory strategy at Biolinq, a medical device startup that received its FDA authorization last year. He literally lived at a clinical site for a month during the company's pivotal trial, keeping site staff entertained while they spent hours manually entering data. He also spent two years as an analyst for the medical device industry.\n\nNathan (CTO) is an ex-Google, ex-Ramp engineer who has built websites serving hundreds of thousands of visits per month and open-source projects with millions of downloads.\n\n![uploaded image](/media/?type=post&id=102244&key=user_uploads/2019219/afc8da2f-6a4c-4521-a4ef-dcae27ade928)\n\n",
        "url": "https://www.ycombinator.com/launches/Qb6-harbor-ai-native-cro-for-clinical-trial-operations",
        "votes": 29,
        "created_at": "2026-05-29T16:00:01.149Z"
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      {
        "id": 98843,
        "title": "Harbor: AI system of record for clinical trial data",
        "tagline": "We're building the AI operating system for clinical trials, starting with a best-in-class system of record that automates the transformation of source data into an FDA-ready package.",
        "body": "Hey everyone 👋\n\nWe're Albert and Nathan from Harbor.\n\n**TL;DR**\n\nHarbor is a new system of record for data collection in clinical trials. Current systems are slow, clunky, and require hours and hours of manual labor. We're already live in five clinical studies and looking for more!\n\n**Ask**: Can you introduce us to founders who might be running a clinical study soon or directors and VPs of Clinical Operations at CROs, medical device, and biotech companies? Contact us at [albert@runharbor.com](mailto:albert@runharbor.com)\n\n<https://www.youtube.com/watch?v=mBOYEL58RWw>\n\n**🤦‍♂️ The Problem**\n\nEveryone knows clinical trials are slow and expensive. Most people assume it's due to subject recruitment or regulatory requirements. But, a huge part of the problem is much simpler: manual data entry.\n\nClinical trial data is collected through a special database called an EDC (electronic data capture). Despite the massive amounts of spend, today's EDCs have not changed since the early 2000s. Companies spend 2-3 months manually configuring their EDC for each clinical trial. Clinical sites collect data from patients in the EHR or on paper and then spend hours entering that data by hand into the company's EDC. Finally, companies hire armies of people to literally fly to each clinical site and double check the data entered into the EDC. Despite the [FDA's guidance](https://www.fda.gov/regulatory-information/search-fda-guidance-documents/risk-based-approach-monitoring-clinical-investigations-questions-and-answers) **against** this way of doing things, it remains the de facto standard for the way clinical trials are run today.\n\nAt Harbor, we're changing that…\n\n**💡 Our Solution**\n\nAt Harbor, we've built a new EDC platform that automates the most manual and tedious processes in data management, allowing sponsors and sites to spend more time with subjects, making sure the operations are running smoothly, and ultimately getting to database lock and regulatory submission faster.\n\n* 👷 Our \"Magic Build\" feature takes clinical trial protocols and turns them into customized EDC builds within minutes. \n* ✍️ Our \"Magic Capture\" feature allows clinical sites to upload their source documents, whether electronic or paper, and Harbor enters the data into the EDC for them automatically.\n* 🕵️‍♀️ As a result, sponsors get access to the study data in near real-time and their monitors don't have to fly all over the country just to compare what's on paper with what's in the EDC.\n\nAll of this is built into our fully validated and 21 CFR Part 11 and GCP-compliant software platform with roles, audit trails, and more, so that the data collected in Harbor can be used for regulatory submissions.\n\n![uploaded image](/media/?type=post&id=98843&key=user_uploads/2019219/426a3a2d-c750-47bc-813c-d386c2a13f21)\n\n**🥺 Our Ask**\n\nIf you answer “yes” to any of these, we’d love your help:\n\n* Do you know any founders of biotech, medtech, or digital health companies that might be gearing up for clinical trials? Or are you one yourself? Reach out, let us know you found us on Launch YC and we'll waive your set up fee!\n* Do you know any VPs or directors of clinical operations at larger pharma, biotechs, medtechs, or CROs?\n* Do you have experience selling software into pharma, biotech, or medtech companies?\n\n👉 Contact us at [albert@runharbor.com](mailto:albert@runharbor.com)\n\nThank you!!\n\n👏 **The Team**\n\nAlbert and Nate met seven years ago in English class at the University of Michigan (\"Art of the Personal Essay\").\n\nAlbert (CEO) helped run clinical trials and regulatory strategy at Biolinq, a medical device startup that received its FDA authorization last year. He literally lived at a clinical site for a month during the company's pivotal trial, keeping site staff entertained while they spent hours manually entering data. He also spent two years as an analyst for the medical device industry.\n\nNathan (CTO) has spent the last five years working at tech companies ranging from seed-stage startups to Ramp and Google. He’s built zero-to-one systems as the first employee of another YC startup and wrote smart contracts securing millions in assets at a blockchain infrastructure company. He’s now bringing his experience building cryptographically-secure, regulated, end-to-end systems to Harbor, where we’ve launched a brand-new, 21 CFR Part 11 compliant EDC in just eight months.",
        "url": "https://www.ycombinator.com/launches/PiF-harbor-ai-system-of-record-for-clinical-trial-data",
        "votes": 36,
        "created_at": "2026-03-16T15:30:02.876Z"
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        "full_name": "Sanat Mishra",
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        "full_name": "Parth Patwa",
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        "founder_bio": "I am the Co-founder and CTO at BioStack Platforms. Prior to this, I was a Gen AI scientist at AWS. Before that, I was a researcher at MIT. I have published 40+ papers with 1800+ citations across top venues like CVPR, neurIPS, EMNLP etc. in ML, GenAI, NLP. \nI completed my MS from UCLA. \n",
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        "title": "Clinical Data Lead",
        "url": "https://www.ycombinator.com/companies/biostack-platforms/jobs/HIfysXu-clinical-data-lead",
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        "id": 94045,
        "title": "Founding Research Engineer, RL/Reasoning",
        "url": "https://www.ycombinator.com/companies/biostack-platforms/jobs/M8GyMNX-founding-research-engineer-rl-reasoning",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
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        "salary_range": "$200K - $350K",
        "equity_range": "0.10% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
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      {
        "id": 101855,
        "title": "BioStack Platforms: Realistic healthcare simulation environments",
        "tagline": "We give AI labs the full post-training loop for healthcare",
        "body": "**Tl;Dr;**\n\nWe build realistic healthcare simulation environments where AI labs can train and improve their models before deploying them in the real world. Our environments use real-world clinical data to help models practice solving the hardest medical problems.\n\n![uploaded image](/media/?type=post&id=101855&key=user_uploads/2459174/a27d387c-2ddd-4a28-98b6-c8a96da0503a)\n\n**The problem**\n\nHealthcare AI is learning from a cleaned-up version of medicine that barely exists. Real patients are messy. Their records are incomplete. Their labs are late. Their notes conflict. Their outcomes unfold over months, not in one prompt.\n\nDoctors do not just answer questions. They make decisions with imperfect information, watch what happens, and adjust. That is the loop AI needs to perfect.\n\nToday, AI labs have medical data. What they do not have are real clinical environments where models can practice, fail, get feedback, and improve.\n\n**What BioStack does**\n\n* **We turn real patient records into training environments.** Not clean textbook cases. Real longitudinal data: notes, labs, imaging, meds, vitals, diagnoses, follow-ups, and outcomes stitched into cases models will actually have to work through.\n* **We build the tasks models train on.** Diagnose this. Order the next test. Adjust the medication. Flag the risk. Predict what happens next. The model makes a clinical move, then gets scored against outcomes, chain-of-thought reasoning, guidelines, and clinician review.\n* **We give AI labs the full post-training loop for healthcare.** Data, evals, reward functions, benchmarks, and simulation environments, so models can practice real clinical work instead of just memorising medical exams.\n\n[https://drive.google.com/file/d/1NvcLS2usN_bl4GE_tW7QVN5Ia-MGl8M6/view](https://drive.google.com/file/d/1NvcLS2usN_bl4GE_tW7QVN5Ia-MGl8M6/view?usp=sharing)\n\n**Backstory**\n\nWe started the company in Oct 2025 and burned through two pivots before we found the thing that pulled us in.\n\nFirst, we tried building multi-agent systems for biology research. It sounded right on paper. In practice, biology workflows are messy, fragile, and full of assumptions that have to be tuned by hand. One wrong parameter compounds downstream and suddenly nobody trusts the output. Scientists also were not ready to hand over real work to agents that still felt too brittle. We killed it after two months.\n\nThen we tried going deeper: generate preclinical drug discovery data ourselves, at scale, through our own lab facility. Again, it sounded ambitious. Again, it broke on contact with reality. It was capex-heavy, slow, operationally painful, and not truly venture-scalable. Worse, our edge was basically cheaper offshore execution. That is not a moat. That is a race to the bottom. We killed that too.\n\nThe third idea found us.\n\nThe best companies are born in the customer’s office. For us, it happened on a sales call.\n\nWe were pitching drug discovery data to one of the largest human data companies in the world. Halfway through, the conversation shifted. They did not want another generic data vendor. They asked if we could deliver high-quality clinical data for a six-figure contract.\n\n**That call changed the company.**\n\nWe realised the real bottleneck was not just raw data. AI labs need the full post-training stack for healthcare: clinical data, simulation environments, evals, reward functions, and verifiable tasks that make models better at real medical work.\n\nSo we followed the pull.\n\nToday, BioStack is building simulation environments for healthcare AI. We have expanded from one customer conversation into 17 customers and prospects, including top AI labs, and we are seeing demand across data, evals, and RL environments.\n\nWe did not arrive here through a brainstorm but got dragged here by the market.\n\n**Asks**\n\n* **Do you know** **anyone** **working on a AI models or agents** advancing current capabilities through multimodal applications, nuanced reasoning, or domain-specific expertise?\n* **Do you know of companies that require raw medical data?** We supply longitudinal high quality scans, EHR, and notes and we’re happy to send over samples.\n* **Have referrals for RL engineers / researchers?** We’re always looking to hire RL engineers who specialise in fine-tuning methods such as SFT, PEFT, and RL.\n* **Spread the word** - send us ideas for data types that you think are valuable and spread the word!\n\n**Feel free to reach out** at: [sanat@getbiostack.com](mailto:sanat@getbiostack.com) / [parth@getbiostack.com](mailto:parth@getbiostack.com)",
        "url": "https://www.ycombinator.com/launches/QUp-biostack-platforms-realistic-healthcare-simulation-environments",
        "votes": 9,
        "created_at": "2026-05-25T15:06:11.941Z"
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    "id": 31484,
    "name": "AbInitio Bio",
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    "all_locations": "Boston, MA, USA",
    "long_description": "Abinitio Bio builds foundation models for biomanufacturing, validated against wet lab data. Our first model, Echo, predicts manufacturing outcomes more accurately than standard models, and any pharma or CDMO can adapt it to their own workflow instantly. By making process decisions that take 6-18 months today in hours, we help teams avoid the cost of delay on a single program. ",
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    "industry": "Healthcare",
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        "full_name": "Daniel Mukasa",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO at AbInitio Bio (YC P26). Postdoctoral Fellow at MIT focused on AI and drug discovery. Previously AI/ML intern at Merck working on antibody therapeutic design. PhD in Applied Physics and Materials Science from Caltech.",
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        "user_id": 3776060,
        "full_name": "Nisha Gopal",
        "title": "Founder",
        "founder_bio": "Founder CSO at Abinitio Bio (YC P26). Biochemist with 14 years of experience, Stanford PhD, former research scientist at the The Broad Institute of Harvard and MIT",
        "is_active": true,
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        "id": 101683,
        "title": "AbInitio Bio - Frontier foundation models for biomanufacturing",
        "tagline": "Foundation models for Biomanufacturing ",
        "body": "**TL;DR:** Biomanufacturing is bottlenecked by experiments that take years and don't transfer across products. We're building foundation models for biological manufacturing, validated against wet lab data, so decisions that take 6-18 months today can be made in hours, saving $100M+ per program.\n\n![uploaded image](/media/?type=post&id=101683&key=user_uploads/3323269/c03e8ad1-e7f1-4b0c-8417-b22137f847af)\n\n**The problem**\n\nBiologics development is one of the slowest, lowest-yield engineering disciplines in the modern economy. A single CHO cell line campaign costs $5-10M and 12-18 months. Multispecific antibody programs routinely fail at CMC. Every month of delay on a blockbuster costs pharma $100M+ in lost revenue.\n\nEvery product team rebuilds the same process knowledge from scratch because:\n\n* nothing transfers across products, scales, or sites\n* the data that exists sits trapped in PDFs, batch records, and proprietary silos\n* existing tools optimize one product at a time and need expert tuning\n* AI-for-bio has focused on drug discovery and overlooked the value in manufacturing\n\nPharma spends over $100B annually on biologics development and manufacturing, and ships processes with yields and timelines that haven't fundamentally shifted in a decade.\n\n**What we built**\n\n**The first foundation models for biomanufacturing**, designed to close the data gap incumbents can't.\n\nOur first model, Echo, predicts manufacturing outcomes more accurately than standard hybrid models, and any pharma or CDMO can adapt it to their workflow instantly. We're extending the same architecture to cell line engineering, multispecific developability and CMC risk, and upstream aggregation (HMW%) prediction.\n\nThe complex biologics wave is the immediate wedge: 600+ molecules in active clinical trials, \\~15 approved, and a CMC-heavy profile that punishes one-product-at-a-time tooling. Foundation models that transfer across products are the only way to keep up.\n\n**Our story**\n\nI'm Daniel Mukasa, founder and CEO. I’ve spent much of my career at Caltech, Merck, MIT, and the Broad doing drug discovery, just to watch our carefully optimized drugs get killed by manufacturing problems. I’m building the tools we need to fix that across the full biomanufacturing stack.\n\n**Our ask**\n\n**Pharma, biotech, and CDMO intros**. Specifically, cell line development, process development, and CMC leads working on biologics, multispecific, cell and gene therapies, and AAV delivery systems. Also open to BD conversations with platform companies sitting on proprietary process data. \n\nreach us at founders@abinitio-bio.com",
        "url": "https://www.ycombinator.com/launches/QS3-abinitio-bio-frontier-foundation-models-for-biomanufacturing",
        "votes": 19,
        "created_at": "2026-05-22T18:47:27.191Z"
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    "website": "https://nxtcure.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Reinventing medicine from lab to drug discovery.\r\nNxtCure CRO- an AI-native, full-stack CRO built to take therapeutics from discovery to market faster.\r\nNxtCure Cancer- the all-in-one mobile platform guiding patients through the cancer journey.\r\nWe’re building the operating system for the future of medicine.",
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    "team_size": 0,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Therapeutics",
    "launched_at": 1789623428,
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2026",
    "status": "Active",
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      "America / Canada"
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    "stage": "Early",
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    "country": "US",
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      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
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        "user_id": 2627237,
        "full_name": "Alessandro Hammond",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ NxtCure \nHarvard ‘25, Phi Beta Kappa. Schwarzman Scholar (Tsinghua). MD/PhD at Yale\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alessandro-hammond-43b650224/",
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        "full_name": "Keanu Clark",
        "title": "Founder/CTO",
        "founder_bio": "CTO @ Nxtcure. MIT CS '25. ex-researcher @ Sharp Lab.",
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        "linkedin_url": "https://www.linkedin.com/in/keanu-clark-3625b4286",
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    "id": 31493,
    "name": "Plena Health",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Plena is the AI operating system for specialty medical practices. We automate the administrative workflows that keep clinics running — referrals, fax intake, scheduling, procedure compliance, and collections — end to end, across all the systems a practice already uses. Unlike point solutions that cover a slice of the problem, Plena becomes the operating layer across the entire practice, connecting the systems, teams, and workflows that keep it running. In 10 months we've grown 17x and crossed seven figures in committed ARR across six specialties and eight states, with 80% of growth through word of mouth.",
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    "subindustry": "Healthcare -> Healthcare Services",
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    "year_founded": 2025,
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      "name": "Andrew Miklas",
      "url": "https://www.ycombinator.com/people/andrew-miklas"
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        "user_id": 3415495,
        "full_name": "Eyad Abdalla",
        "title": "Founder",
        "founder_bio": "Doctor's son, engineer by trade — Waterloo, then Datadog and Shopify. 3 years in specialty clinics convinced him they don't need more software. They need someone to do the work. Plena does it.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/eyadabd/",
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      {
        "user_id": 2250276,
        "full_name": "Ahmed Al Mudarris",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO of Plena. Started his career at a nuclear engineering startup, then built tier-zero infrastructure at AWS — the systems that can't go down. Doctor's son who took the MCAT before deciding to build for medicine, not practice it. Built Plena's platform end-to-end.",
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        "title": "Founding Account Executive",
        "url": "https://www.ycombinator.com/companies/plena-health/jobs/p7NBfth-founding-account-executive",
        "location": "US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$225K - $325K",
        "equity_range": "0.20% - 0.50%",
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      {
        "id": 102388,
        "title": "Plena Health: The AI operating system for specialty medical practices",
        "tagline": "The full stack AI operating system for specialty medical practices",
        "body": "**TL;DR**\n\nPlena is the full stack AI operating system for specialty medical practices. We automate the administrative work that keeps clinics running — referrals, fax intake, scheduling, procedure compliance, records, and collections. Everything that isn't the medicine.\n\n**In 8 months, we've grown 17x and crossed seven figures in contracted ARR.**\n\nSo far we cover six specialties across eight states, all on annual or multi-year contracts, with 80% of our growth through word-of-mouth.\n\n<https://youtu.be/xWw9kNYckHQ>\n\n**The Problem**\n\nMy mom is a doctor. Plena's office sits inside her clinic — she was our first user. I grew up watching her run a practice, and the pattern was the same in every clinic I later embedded in: a doctor's day eaten by everything that isn't medicine.\n\nIndependent specialty practices are squeezed. Staffing costs rising, reimbursements tightening, payers using automation to deny and downcode claims.\n\nMeanwhile, practices run critical workflows across EHRs, clearinghouses, portals, fax, spreadsheets, phones, and email. A single referral: read the fax, match the patient, extract clinical details, check insurance, update the EHR, attach documents, route tasks, chase missing info. That's one workflow. Practices run dozens daily.\n\nMost software adds another portal, another login, another vendor. Point solutions cover a slice. Staff stitch the rest together.\n\n\\\n**Why Point Solutions Can't Get You to Labor Replacement**\n\nThe real goal isn't automating one workflow. It's labor replacement — and you can't get there one feature at a time.\n\nNo single piece of software works for all specialty practices. Cardiology, GI, urology, ortho are too different from each other. Even two clinics in the same specialty are too different. Off-the-shelf can't cover the surface area.\n\nSo we took a Palantir-like approach: a base platform of reusable building blocks — workflow primitives, EMR integrations, agent harnesses — that lets us assemble exactly what each practice needs. Deep discovery, build to spec, stand it up in a day or two. Every engagement feeds the platform, so the next build is faster. That's the flywheel.\n\nAI is what makes this newly possible — final-mile customization at speed is exactly what AI is good at. And it's why we're an easy yes: no rip-and-replace, no retraining. We slot into what practices already run and take more off their plate over time.\n\n**How Plena Works**\\\nPlena automates workflows end-to-end across the systems a practice already uses — EHRs, fax, phones, clearinghouses, payer portals, patient communication. We don't replace those systems. We don't ask staff to learn a new one.\n\nSome competitors force practices to migrate into a walled garden — abandon the EMR, retrain the team, rebuild data flows. That's why their sales cycles are slow. We do the opposite: we live inside what's already there, and quietly take over the rote work end-to-end.\n\nCustomers start with one painful workflow — referrals, collections, scheduling — then expand as they see it work.\n\n\\\n**Where This Goes**\n\nWe start as an automation layer on top of what practices already have. Over time we cannibalize the rote work and the other vendors a practice is stitched together from — until the EHR is just a database we read and write to. From there, even the EHR becomes a turnkey switch instead of the migration nightmare it is today.\n\nThat's the system specialty practices end up running on.\n\n\\\n**Our Story**\n\nEyad and Ahmed were both raised in medicine — Eyad's mom and Ahmed's dad are doctors. The combination — engineers who grew up watching practices run — is why we kept seeing the operational problem when other founders saw something else.\n\nEyad is a Waterloo engineering grad — Datadog and Shopify before Plena, 3 years embedded in clinics. Ahmed built tier-zero infrastructure at AWS, with a background in nuclear systems before that. Specialty practices didn't need another lightweight tool — they needed infrastructure.\n\n\\\n**Our Ask**\n\nIntros to independent specialty practices, administrators, and physician owners — especially orthopedics, GI, dermatology, ophthalmology, ENT, urology, and multi-location groups. Best fit: high admin volume and disconnected systems.\n\n[eyad@plena.health](mailto:eyad@plena.health)\n\nEyad and Ahmed",
        "url": "https://www.ycombinator.com/launches/QdQ-plena-health-the-ai-operating-system-for-specialty-medical-practices",
        "votes": 53,
        "created_at": "2026-06-01T19:17:08.692Z"
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    "id": 31532,
    "name": "Atlas Discovery",
    "slug": "atlas-discovery",
    "former_names": [
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    "website": "https://atlasdiscovery.bio",
    "all_locations": "San Francisco, CA, USA",
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    "team_size": 3,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Drug Discovery and Delivery",
    "launched_at": 1782247231,
    "tags": [
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      "Drug discovery",
      "Biotechnology"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/atlas-discovery",
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        "full_name": "Shaamil Karim",
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        "full_name": "Christian Gensbigler",
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        "id": 107031,
        "title": "Atlas Discovery: AI-native pharma company",
        "tagline": "Autonomous research agents and models for drug development",
        "body": "TL;DR: We’ve built the foundations of a pharma in the age of superintelligence: data partnerships, biology models and autonomous research agents. We have SOTA results on finding overlooked drugs and predicting clinical trial success rates. \n\nHey everyone! We ([Sanjukta Bhattacharya](https://www.linkedin.com/in/sanjukta-b-82b541198/), [Christian Gensbigler](https://www.linkedin.com/in/christian-g-a2594029a/), and I) started Atlas Discovery to get treatments to patients who need them most.\n\n**The problem:** Today's pharma works for only \\~150 diseases. Below roughly $150M in expected revenue a program never gets funded, because the cost of developing a drug is fixed by the knowledge work it requires, not the size of the market. 10,000+ diseases remain without an approved treatment even where the biology is tractable. Meanwhile, there are 100,000+ existing drugs, and barely 1% of the drug-disease combinations have ever been tried. The bottleneck is no longer supply of compounds; it's the judgment needed to search that space and run the trials, and the removal of human coordination costs.\n\n**Our** **thesis** is that AI will drop the cost of drug development enough to push the viable threshold from \\~$150M toward \\~$15M, opening a \\~$500B market incumbents have structurally ignored. A company built for that world needs three things: proprietary data, models that predict clinical trial outcomes, and agent systems that replace knowledge work. We use agents to repurpose existing drugs for the long tail of diseases, then run the clinical trials faster and cheaper. \n\n**Progress**: In three months we've built the first version of all three layers. Data: an 8 figure LOI with an AI lab and 6 figures in contracted revenue. Models: state-of-the-art clinical trial prediction results published at three conferences,. Agents: three rare disease foundations are now testing drugs surfaced by our agents. \n\nOn drug repurposing using agents, we see nearly 5x improvement over current frontier LLMs. Read more about this benchmark [here](https://atlasdiscovery.bio/repurposingbench.html).\n\n![uploaded image](/media/?type=post&id=107031&key=user_uploads/774885/cf98d216-1d2c-45a0-99c9-ef87d2b7b296)\n\n\nWe've also shown that models trained on in vitro cell data (Latin for \"in glass\") and mouse data can translate to gains in predicting patient response to drugs in human clinical trials.\n\n![uploaded image](/media/?type=post&id=107031&key=user_uploads/774885/6813bfeb-e5c9-47ec-9b9e-89362cf8eb15)\n\nWe’ve also shown SOTA results in being able to predict clinical trial success when trained on over 100,000 clinical trials data and evaluated on a held out set of 10,000 trials. Read more [here](https://atlasdiscovery.bio/clinical-trial-prediction-with-ai-agents.html)\n\n![uploaded image](/media/?type=post&id=107031&key=user_uploads/774885/23aff312-7161-4be9-b4af-3273d469bd5d)\n\nWe’ve presented our research in 3 top conferences (ICLR, CSHL, ICML) and shown that new AI architectures like discrete diffusion can learn these gene expression patterns and predict response to treatments with over 10x improvement in accuracy while training on 50x less data.\n\n![uploaded image](/media/?type=post&id=107031&key=user_uploads/774885/fa2a6593-751d-448b-a67b-e232e3e07ffb)\n\nReach us at [founders@atlasdiscovery.bio](mailto:founders@atlasdiscovery.bio)\n\nBlog: <https://atlasdiscovery.bio/>blog",
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        "created_at": "2026-07-24T17:07:56.608Z"
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        "full_name": "Christine Park",
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        "id": 102711,
        "title": "Lattice Health: Monitoring and governance for deployed medical imaging AI",
        "tagline": "Keeping your imaging models safe and compliant",
        "body": "Hey YC!\n\nI'm Christine Park, founder of Lattice Health. We make sure the AI that hospitals deploy on medical imaging keeps working after it goes live.\n\nLaunch video: <https://youtu.be/p0l029tsmhs>\n\nWebsite: <https://www.latticehealthai.com/>\n\n**The problem.** Hospitals are adopting medical imaging AI faster than ever. But once a model is live, almost no one can answer a basic question: is it still working? Models drift, a scanner upgrade or a shift in the patient population can quietly degrade accuracy, and performance often varies across patient groups. Most of that goes unseen today, and it's the hospital, not the vendor, that carries the risk.\n\n**What we built.** Lattice is a monitoring and governance layer for deployed imaging AI. We plug in beside the imaging pipeline as a read-only observer and continuously check each model: how well it agrees with the radiologist's read, whether it's drifting over time, and how it performs across patient subgroups. Then we turn that into the evidence hospitals need for safety, governance, and compliance. Lattice never touches patient care, it only watches, so if Lattice stops, care continues.\n\n**Why now.** AI is moving into clinical use under a wave of new expectations from the FDA, ONC, and the ACR, and they all point to the same gap: continuous post-deployment monitoring. Hospitals are on the hook for it and have almost no tooling to do it.\n\n**Our ask.** We'd love intros to health system and radiology leaders, CMIOs, and anyone running AI governance at a hospital, as well as imaging AI vendors who want their models monitored well in the field. And if you have thoughts or hard questions, drop them in the comments or email me at [christine@latticehealthai.com](mailto:christine@latticehealthai.com)",
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        "votes": 8,
        "created_at": "2026-06-10T15:31:08.691Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Panacea provides AI-native FDA regulatory services for Biotechs and Medical Device companies. We hire the most experienced FDA consultants in the industry (ex-FDA, decades of experience, hundreds of filings) and pair them with our AI platform to enable the fastest and lowest cost pathway to FDA approval.\r\n\r\nWhile other regulatory consultants bill hourly, our pricing model is simple: fixed, outcome-based pricing. Payment is only due when milestones are complete.\r\n\r\nWe support all FDA regulatory pathways including IND, NDA, BLA, ODD, Pre-Subs, 510(k), De Novo, PMA, IDE, BDD, etc.",
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        "user_id": 3343089,
        "full_name": "Haris Javed-Akhtar",
        "title": "Founder/CEO",
        "founder_bio": "ex-GTM (Partnerships Lead) @ Anterior - backed by Sequoia, NEA and Microsoft AI's CEO. \nMD, Imperial College Medical School, Imperial College Business School.",
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        "user_id": 3367096,
        "full_name": "Yaman Ziadeh",
        "title": "Founder/CTO",
        "founder_bio": "Ex-AI Platform Engineer @ Anterior - backed by Sequoia, NEA and Microsoft AI's CEO.\nMS in AI from University of Illinois, Chicago.\nEx-Software Engineer @ Bloomberg on the NoSQL data Infrastructure Team.\nCo-founded & bootstrapped Baqi, scaled to $5M+ in transactions with 20+ enterprise partnerships.",
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        "id": 101517,
        "title": "Panacea: AI-Native FDA Regulatory Services",
        "tagline": "The best FDA consultants, paired with AI, for faster & lower-cost FDA filings.",
        "body": "**TLDR**: Panacea hires elite FDA regulatory consultants, and pairs them with our AI platform, to deliver **the fastest and lowest-cost pathway to FDA approval** for Biotechs and MedTechs.\n\n<https://youtu.be/w1rudmd3cio?si=ft-e2f7QL_dBPxyj>\n\n### **About us**\n\nWe’re Haris and Yaman. We have deep experience within enterprise AI for healthcare.\n\nPreviously, we both worked at Anterior (backed by Sequoia, NEA, Microsoft AI’s CEO) — where we built, sold and deployed our clinical AI platform to US health plans to remove major operational bottlenecks.\n\n[Haris](https://www.linkedin.com/in/haris-javed-akhtar/) (CEO) is an MD and led partnerships on Anterior’s GTM team (2nd GTM hire), selling to the biggest healthcare enterprises in the US and landed Anterior’s first health plan and partnership customers.\n\n[Yaman](https://www.linkedin.com/in/yaman-ziadeh/) (CTO) has an MS in AI was an AI Platform Engineer, building and deploying Anterior’s clinical AI platform.\n\nNow we’re doing the same for Life Sciences. Only this time, we’re not selling the AI tools. We’re **owning the whole stack** and selling the outcome. Faster, better and at lower cost.\n\n### **Problem**\n\nDeveloping drugs and medical devices is complex and expensive (for drugs: 10-15 years, $1-2B).\n\nThe cost of drug development is growing exponentially (doubling every 9 years). This is known as Eroom’s Law (inverse Moore’s Law).\n\n**The most critical** process in development is getting regulatory alignment, and ultimately, approval from the FDA.\n\nBiotechs and medtechs outsource this work to regulatory consultants.\n\nThis work is highly manual: searching through legacy FDA databases, researching and reading hundreds of publications, reading FDA guidance documents, data analysis, authoring thousands of pages per filing, etc.\n\nConsultants take months to years, and charge 6–7 figures per engagement, to deliver FDA regulatory strategy, authoring and submission services.\n\nThese consultants also price hourly. Therefore, using AI to go faster would cannibalize their revenue. So they have no incentive to deliver work faster.\n\n### **What changed**\n\n**AI can automate 90% of this work**. Consultants can now focus on the 10% where their expertise and judgement is actually needed.\n\n### **Solution**\n\nWe hire the best FDA consultants in the industry (ex-FDA, decades of experience, hundreds of FDA filings).\n\nWe pair them with our AI platform to deliver higher quality FDA regulatory services **significantly** **faster and at lower cost.**\n\nWe also offer **fixed, milestone-based** pricing. Clients only pay once we deliver each agreed milestone.\n\n### **Ask**\n\nIf you know any biotechs or medtechs that need FDA approval, please feel free to connect us at [haris@withpanacea.com](mailto:haris@withpanacea.com)! Also check out our website for more info: [www.withpanacea.com](http://www.withpanacea.com) ",
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        "votes": 8,
        "created_at": "2026-05-19T00:18:00.735Z"
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    "id": 31552,
    "name": "Arctic Health",
    "slug": "arctic-health",
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    "website": "https://arctic.health",
    "all_locations": "New York City, NY, USA",
    "long_description": "Arctic Health is building AI-native credentialing and contracting for healthcare organizations. We automate the full workflow, from establishing payer contracts to enrolling each provider. We collect and validate organization and provider data according to each state and payer’s requirements, and submit on the organization's behalf. We then monitor status and compliance on an ongoing basis.\r\n\r\nTools on the market today either perform small pieces of the workflow or price out small and mid-sized organizations. We handle the process end-to-end regardless of organization type or size. Our browser automations enable AI agents to submit and monitor across hundreds of payer portals, and our system is trained by experienced industry experts who handle every edge case.\r\n\r\nHealthcare organizations get one simple platform. We handle the rest. ",
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    "team_size": 4,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare Services",
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      "name": "Aaron Epstein",
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        "full_name": "Sam Slezek",
        "title": "Founder/CEO",
        "founder_bio": "Sam is the co-founder and CEO of Arctic Health. Previously, Sam led product teams at Scale AI and Instacart, invested in startups at Amasia, and covered insurance companies at Morgan Stanley. ",
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        "user_id": 3272652,
        "full_name": "Raghav Mehrish",
        "title": "Founder/CTO",
        "founder_bio": "Raghav is the co-founder and CTO of Arctic Health. Previously senior engineer at Airbnb and Zenefits, co-founded Handstamp.",
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      {
        "id": 101935,
        "title": "Arctic Health, full-service healthcare credentialing and contracting platform",
        "tagline": "Onboard once. We handle your payer contracts, enrollments, follow-ups, and compliance end-to-end. ",
        "body": "**The Problem**\n\nCredentialing and contracting determine which clinicians can bill insurance, and at what rate. Today, both are broken processes: slow, fragmented, and almost entirely manual. Healthcare organizations are forced to juggle dozens of documents, third-party verifications, and follow-ups across hundreds of payer portals with unique requirements and timelines.\n\nThe result: revenue is delayed, contract terms go unnegotiated, payers deny clinicians, and patient access is restricted. \n\n**Our Solution**\n\nArctic Health hires best-in-class credentialing experts and pairs them with our AI platform to deliver the fastest and lowest-cost path to contracting and payer enrollment for healthcare organizations of any size.\n\nWe handle the end-to-end workflow, from establishing payer contracts to enrolling each provider. We collect and validate organization and provider data according to each state and payer’s requirements, and submit on the organization's behalf. We then monitor status and compliance on an ongoing basis.\n\nThe platform gets smarter with every submission, contract, and claim. Our browser agents learn to navigate payer portals more effectively. Our communications data shows us who to reach at each payer and when. Enrollment outcomes reveal which networks are actually open. And as we handle negotiations across payers and networks, we build a clearer picture of how contracts get done and how rates vary by specialty and region.\n\n**Our Backstory**\n\nAt our previous companies (Scale AI, Instabase, and Airbnb) we kept running into the same gap: powerful AI tools fell short in workflows with specific rules, data types, and consequences. Nowhere was that gap more visible than in US healthcare, where administrative spend exceeds $1T annually. We decided it was time to close the gap. We started with credentialing and contracting, workflows that cost billions each year and were in desperate need of the solution we envisioned: AI that understands documents and executes guidelines precisely, eliminating overhead. \n\n**The Team**\n\n![uploaded image](/media/?type=post&id=101935&key=user_uploads/3094526/01040e3c-25d5-40f5-830d-f29b0d7e68b4)\n\nSam Slezek (CEO): Sam built the PhD data platform at Scale AI, where he saw firsthand the demand from AI labs and enterprises for workflow-specific training data. Before Scale, Sam led the Instacart+ subscription product team, invested at the VC firm Amasia, and covered insurance companies in investment banking at Morgan Stanley.\n\nRaghav Mehrish (CTO): Raghav was a senior software engineer at Airbnb, where he led large-scale projects across host growth, internationalization and long term stays. Before that, he developed the payroll platform and mobile app at Zenefits. Most recently, he co-founded and scaled Handstamp, an event ticketing platform, to several million in GMV and hundreds of thousands of users.\n\nMichael Clark (COO): Michael was the founding sales rep on the inside sales team at Instabase where he led the company’s push into Healthcare AI, working with companies like CVS on prior authorization. Previously, Michael traded debt at a boutique hedge fund, 1Sharpe Capital.\n\n**Our Asks**\n\nIntros to healthcare organizations who need to manage credentialing at scale, including: medical clinics, health systems, telehealth companies, MSOs, RCM companies. ",
        "url": "https://www.ycombinator.com/launches/QW7-arctic-health-full-service-healthcare-credentialing-and-contracting-platform",
        "votes": 9,
        "created_at": "2026-05-26T01:19:11.398Z"
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    "id": 31553,
    "name": "Framewise Health",
    "slug": "framewise-health",
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    "website": "https://framewisehealth.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We turn medical records into personalized videos walking patients through onboarding, adherence, and recovery. The engagement data we collect builds our AI-native patient engagement platform for pharma, hospitals, medical devices, and private clinics, so they can stop chasing the patient and spend more time caring for them.",
    "one_liner": "AI-native patient engagement",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1775682737,
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    "url": "https://www.ycombinator.com/companies/framewise-health",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/framewise-health.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/framewise-health/",
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      "url": "https://www.ycombinator.com/people/aaron-epstein"
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      {
        "user_id": 3115980,
        "full_name": "Tane Kim",
        "title": "Founder/CEO",
        "founder_bio": "Med school dropout building AI-generated patient education tools",
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        "linkedin_url": "https://www.linkedin.com/in/tanekim/",
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    "launches": [
      {
        "id": 101156,
        "title": "Framewise Health - Videos for every patient",
        "tagline": "We turn medical records into personalized explainer videos in seconds",
        "body": "Hello! We’re [Tane](https://www.linkedin.com/in/tanekim/) and [David](https://www.linkedin.com/in/david-cui-589a20228/), co-founders of [Framewise Health](https://framewisehealth.com).\n\n# **TL;DR**\n\n**Framewise Health turns medical records into personalized videos that walk patients through onboarding, adherence, and recovery.** The data we collect lets hospitals and clinics spend less time chasing patients and more time caring for them.\n\n**_Ask_:** Can you introduce us to specialty clinic owners, hospital service-line chiefs, patient experience VPs, or pharma medical affairs leads? Contact us at [tane@framewisehealth.com](mailto:tane@framewisehealth.com)\n\nLaunch video: <https://youtu.be/ri6U0W8frFU>\n\n# **The Problem**\n\nNearly 9 out of 10 people in the U.S. lack proficient health literacy.\n\nYet, our healthcare system has relied on educating patients using complex paper packets for decades, leaving us with static, generic solutions that cause three problems:\n\n* Ineffective learning\n* Low medical adherence\n* Poor patient outcomes\n\nPreventable medication-related harm costs the U.S. over $500 billion every year.\n\n![uploaded image](/media/?type=post&id=101156&key=user_uploads/3115980/d644d1d2-1da6-4aec-8a1e-13dae6d1a309)\n\nUntil now, there was no cost-effective way to create personalized education material for patients. But with the latest video generation models, this no longer has to be the case.\n\n# **Our Solution**\n\nEvery video is generated from the patient's medical records, institutional protocols, and national drug data. Every patient interaction tells you what they understood, per patient, per topic, in real time. \n\nThat comprehension data feeds back to the care team, so they know which patients are on track and which need a callback.\n\n![uploaded image](/media/?type=post&id=101156&key=user_uploads/3115980/06903869-3f1e-4802-b6de-f36937a2b3b4)\n\n# **How can you help?**\n\nIf you can introduce us to any of the following, we’d be grateful.\n\n* Hospitals (service-line chiefs, CMIOs, virtual health program leads, VPs of patient experience)\n* Pharma (medical affairs leads on adherence, patient services VPs, clinical education directors)\n* Private clinics (practice owners in procedure-heavy specialties)\n\nPlease contact us at [tane@framewisehealth.com](mailto:tane@framewisehealth.com)\n\n# **Who we are**\n\nTane and David met during Brown University’s freshman orientation.\n\nTane (CEO) dropped out of Brown’s BS/MD program and saw 500+ patient interactions at over a dozen institutions. \n\nDavid (CTO) researched computer vision at Brown and was an engineering intern at a YC voice AI company (Freya S25).\n\n![uploaded image](/media/?type=post&id=101156&key=user_uploads/3115980/84078c0d-cf00-4218-8a94-a8450518f512)\n\n",
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        "created_at": "2026-05-11T19:20:14.978Z"
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    "all_locations": "Cologne, NRW, Germany",
    "long_description": "CONUS structures fragmented medical device information for surgeons. We combine manufacturer documentation, hospital protocols and medical research in one place, giving surgeons and MedTech teams reliable answers across products and procedures.\r\n\r\nWe already work with leading manufacturers including Johnson & Johnson, Stryker and Zimmer Biomet, and since launching six months ago we’ve gone live in 20 hospitals.\r\n\r\nLong term, hospitals will use CONUS to select and order implants across manufacturers.",
    "one_liner": "The AI knowledge layer for medical devices",
    "team_size": 3,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
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        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "CONUS started with five chief orthopedic and trauma surgeons who wanted better access to the information their teams need every day. The three of us had already worked together for years, combining backgrounds in AI, biomedical engineering and product development."
      },
      {
        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "We met Tom Blomfield at a YC event at ETH Zurich, where he convinced us we were thinking too small about CONUS. That conversation set us on the path to building it full time and applying to YC."
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "We started by bringing surgical information into one platform, then added CONUS Intelligence. Today, we’re live in 20 European hospitals, work with manufacturers including Stryker and Zimmer Biomet, and are expanding into the US."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Medical device knowledge is scattered across manufacturer PDFs, portals and hospital systems, leaving clinicians and field teams searching disconnected sources or calling someone who knows. As product portfolios and hospital-specific protocols multiply, finding reliable answers becomes harder for both the people using devices and the companies supporting them."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "We want CONUS to become the knowledge infrastructure connecting medical device companies and clinical teams worldwide. Reliable product and clinical knowledge should be available in seconds, across specialties and wherever people work."
      }
    ],
    "url": "https://www.ycombinator.com/companies/conus",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/conus.json",
    "year_founded": null,
    "city": "Cologne",
    "country": "DE",
    "linkedin_url": "https://www.linkedin.com/company/conus-med/",
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      "name": "Grey Baker",
      "url": "https://www.ycombinator.com/people/grey-baker"
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    "founders": [
      {
        "user_id": 3347806,
        "full_name": "Vincent Paffrath",
        "title": "Founder/CEO",
        "founder_bio": "Former PhD researcher on generative and agentic AI with ETH Zurich. Part of the core team driving GenAI adoption across Bosch, from strategy to company-wide rollout. Previously in healthcare strategy consulting.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/vincent-paffrath",
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        "user_id": 3356259,
        "full_name": "Maximilian Becker",
        "title": "Founder/CPO",
        "founder_bio": "Industrial engineer and former AI researcher at ETH Zurich. Joined Cleansort as engineer #10 and helped scale it from prototype-stage startup to 50+ employees, building across hardware, manufacturing and automation software.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/maximilian-becker-koeln/",
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      {
        "user_id": 3356311,
        "full_name": "Alexander Schulz",
        "title": "Founder/CTO",
        "founder_bio": "Electrical engineer from RWTH Aachen, Germany. Built high-speed electronics and embedded software for biomedical instruments at Miltenyi Biotec, one of Europe’s largest biotech companies scaled to 5,000+ employees.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alexander-schulz-k%C3%B6ln/",
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        "id": 95195,
        "title": "Senior Backend Engineer, AI & Data Platform",
        "url": "https://www.ycombinator.com/companies/conus/jobs/317A0Hm-senior-backend-engineer-ai-data-platform",
        "location": "Cologne, NRW, DE",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "€80K - €150K EUR",
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        "visa": "US citizenship/visa not required",
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        "id": 112709,
        "title": "Senior Frontend Engineer, Product & UX",
        "url": "https://www.ycombinator.com/companies/conus/jobs/iJWPsUM-senior-frontend-engineer-product-ux",
        "location": "Cologne, NRW, DE",
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      {
        "id": 121625,
        "title": "CONUS: The AI Knowledge Layer for Medical Devices",
        "tagline": "We structure fragmented medical device information for surgeons.",
        "body": "## **Surgery is complex. Finding answers shouldn't be.**\n\nModern surgery relies on complex implants and instruments. But manufacturer instructions, surgical techniques and hospital protocols are scattered across PDFs, portals and disconnected systems.\n\nFor a single procedure, surgeons may need to navigate multiple sources just to find the relevant information.\n\nThe knowledge exists. It just has no common home.\n\n## How CONUS works\n\nCONUS brings medical device knowledge into one place.\n\nSurgeons can select a procedure, see which implant systems are available at their hospital and access manufacturer instructions, surgical techniques and hospital protocols.\n\n![uploaded image](/media/?type=post&id=121625&key=user_uploads/3347806/fc56290e-fa4c-43ed-9c68-91b22dda1023)\n\n**For medical device manufacturers,** CONUS provides a shared platform to make their product knowledge accessible to surgeons and equip field teams with structured information across their portfolios.\n\n![uploaded image](/media/?type=post&id=121625&key=user_uploads/3347806/cfed0a0f-70fa-4f07-9402-4f8c90c298c8)\n\n**CONUS Intelligence** makes this structured knowledge accessible through AI, providing answers backed by citations to the original sources.\n\n![uploaded image](/media/?type=post&id=121625&key=user_uploads/3347806/67343f3b-d56a-4d11-9684-76ed1186352f)\n\n## Built with surgeons. Growing with the industry.\n\n**Developed with five chief surgeons**, CONUS is already live in more than 20 European hospitals just six months after launch and works with manufacturers including Stryker, B. Braun and many more.\n\nWe're building a growing, structured knowledge base across medical device portfolios, combining manufacturer information with hospital-specific systems and protocols.\n\nAnd we're just getting started. Over time, we want this foundation to support how hospitals discover, evaluate and access medical devices across manufacturers.\n\n## Our ask\n\nWe're now expanding into the US and would love to connect with medical device companies, particularly people in Sales, Marketing, Product and Field Service, as well as orthopedic surgeons and hospital leaders.\n\nIf you work in this space or know someone we should meet, we'd appreciate an introduction.\n\n[https://conus-med.com](https://www.conus-med.com/)\\\n[vincent.paffrath@conus-med.com](mailto:vincent.paffrath@conus-med.com)",
        "url": "https://www.ycombinator.com/launches/Vdh-conus-the-ai-knowledge-layer-for-medical-devices",
        "votes": 101,
        "created_at": "2026-10-13T14:00:00.117Z"
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    "id": 32170,
    "name": "Gutgutgoose",
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    "website": "https://gutgutgoose.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Most data companies pay for their data. Ours pays for itself.\r\nCustomers send us a stool sample. We sequence it, build a metabolic model of that gut, and simulate whether each probiotic strain has an open niche it can colonize. We formulate the best candidates, then re-sequence 90 days later to see what actually took hold and what changed. Each cycle gives us the baseline gut, the intervention, and the outcome. At scale, the endgame is models that predict chronic disease years before symptoms.",
    "one_liner": "We sequence your gut and build the probiotics it’s missing",
    "team_size": 7,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1785190964,
    "tags": [
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      "Biotech",
      "Personalization",
      "Health & Wellness"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/gutgutgoose",
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    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/gutgutgoose/",
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      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
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      {
        "user_id": 991771,
        "full_name": "Leon Mojarrabi",
        "title": "Founder",
        "founder_bio": "started university at 14, spent four years at a yc tech unicorn, then launched a pharmacy that hit $4M in revenue to fund GutGutGoose; strain-level metabolic modelling of the gut to catch disease decades early. I'm unreasonably interested in your poop's data.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/leon-moj",
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      },
      {
        "user_id": 3677890,
        "full_name": "Anis Mihrshahi",
        "title": "Founder",
        "founder_bio": "Youngest Math Olympiad champion in state's history. \n\nAt GutGutGoose, I work operations behind the scenes and co-built the mechanistic algorithm behind our personalised probiotics.\n\nFun Facts: World Catan #1, Australian Powerlifting Champion, State Discus Champion, organised national conferences that brought 2000+ Australians in to think about creating meaningful change in society.\n\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/anis-mihrshahi-2a342a336/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5ee2a444b14c5548c9ccc5cd1fe8814527d86097.jpg"
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    "news": [
      {
        "title": "Meet The YC Startups Betting On What Comes Next",
        "url": "https://www.forbes.com/sites/dariashunina/2026/09/03/meet-the-yc-startups-betting-on-what-comes-next/",
        "date": "Sep 03, 2026"
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      {
        "id": 108277,
        "title": "Gutgutgoose: Personalized probiotics",
        "tagline": "GutGutGoose builds personalized probiotics guaranteed to colonize, then uses every retest to train models of the human gut.",
        "body": "# TL;DR: We’ve created the last probiotic you’ll ever need - personalised, constantly improving, while also generating valuable data.\n\n### \n\n# What we do and why\n\nYour gut is the most unique part of your body, different enough that the same probiotic can work for one person and do nothing for another. Most probiotics disappoint because they’re one formula for everyone, and in any gut most of their strains never establish. GutGutGoose makes a probiotic that won’t work for any gut but yours: we sequence your microbiome, find which strains can establish in the microbes you already have, compound those into your formula, and re-sequence you weeks later to confirm they took hold.\n\nIt’s for people who’ve tried things for IBS, bloating, digestion, mood, weight or GLP-1 symptoms without luck. If it doesn’t work you get your money back, and retesting shows how your gut changed, so you know it’s not a placebo.\\\n\\\n<https://youtu.be/Cn6oGduZosc>\n\nThe innovation is accurately predicting which bacteria will live in a gut, which is extremely hard. It’s built on two peer-reviewed models, MICOM and AGORA2, and more than 7,000 metabolic reconstructions of gut bacteria, and it finds the strains that can hold in your gut’s community. On two published human cohorts, its predictions matched what actually established 84.7% and 76.7% of the time, and we reproduced the first at 78.1% ourselves. Off-the-shelf products manage under 5%. Once we can control which bacteria live where, we can run precision interventions in the gut and engineer it.\n\nWe’re a supplement today and can’t treat disease, but each cycle produces a record of one gut, one intervention, and the result. That record makes each customer’s next formula better, and across thousands of people it becomes the first longitudinal dataset of the human gut responding to known, controlled changes. Our vision is to use changes in metabolic pathways over time to predict Alzheimer’s, dementia and Parkinson’s a decade before symptoms appear.\n\n![uploaded image](/media/?type=post&id=108277&key=user_uploads/991771/50caffe3-e0c9-44e5-9212-da1bbabc0e00)\n\n# Traction\n\nWe gave a talk at an endometriosis event, and 20 of the 50 people joined our waitlist. The first night we opened paid deposits, we called five people from that list at 7:30pm. Three picked up, and we managed to get seven sign ups, they were so excited they referred and paid for their families that night. Five of the 20 referred someone else, and our traction has only grown since.\n\n# Team\n\n![uploaded image](/media/?type=post&id=108277&key=user_uploads/991771/13686614-1a12-4b14-a657-d33d042b3ee6)\n\nThe GutGutGoose founders winning the YC product pitch\n\nLeon started university at 14 and spent four years at a $3bn YC unicorn. After we started GutGutGoose, he built a pharmacy, now doing $4M a year, to fund the science behind our engine. Anis joined in September; he co-built the model, runs operations, and is the youngest ever to win Queensland’s Math Olympiad. He’s on a Chancellor’s Excellence Scholarship in AI and Data Science, and (fun fact) was once the world’s number one Catan player.\n\n# The ask\n\nWe’d love introductions to gut-health clinics, patient communities, or microbiome researchers who could help us recruit and shape the 80-person study. Email us at [admin@gutgutgoose.com](mailto:admin@gutgutgoose.com). More at [gutgutgoose.com](http://gutgutgoose.com).",
        "url": "https://www.ycombinator.com/launches/SAP-gutgutgoose-personalized-probiotics",
        "votes": 145,
        "created_at": "2026-07-30T15:49:21.242Z"
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    "id": 32187,
    "name": "Insurf",
    "slug": "insurf",
    "former_names": [],
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    "website": "https://www.insurf.io",
    "all_locations": "Providence, RI, USA",
    "long_description": "Insurf is the AI-native data and decision layer for health insurance. Our model Surely identifies the lowest-cost coverage for anyone, saving individuals, families, and companies thousands per employee. Our product Inveto collects the data from hospitals and clinics that informs Surely.",
    "one_liner": "The AI-Native Decision Layer for Health Insurance",
    "team_size": 3,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1782286226,
    "tags": [
      "Health Tech",
      "Healthcare",
      "Insurance",
      "Automation",
      "AI"
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    "top_company": false,
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    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "Healthcare"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/insurf",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/insurf.json",
    "year_founded": 2026,
    "city": "Providence",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/insurf/",
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        "full_name": "Bryan Chung",
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        "founder_bio": "Co-founder at Insurf. Ex Brown BS/MD\nPreviously studied Neuroscience and Economics at Brown. Conducted zero-shot modeling research at Emory Winship Cancer Institute.",
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      {
        "id": 111220,
        "title": "Insurf: We save people and employers thousands on health insurance costs",
        "tagline": "We built a computation layer for health insurance that predicts the lowest true-cost coverage for anyone. We will be the national standard for how America chooses coverage, with the only engine that knows both what plans cost and what they actually do.",
        "body": "Hey everyone — we're **Chang and Bryan**, the founders of **Insurf**.\n\nAmerican health insurance is f\\*\\*\\*ed: chosen by guesswork, enforced by denial. We built the engine that fixes both halves.\n\n**TL;DR**\n\n**Surely** computes the lowest-cost plan for anyone. **Inveto** fights denials for real clinics across Texas, Georgia, and California, and each contract-authorized, de-identified outcome becomes coverage data nobody else has. Everything Inveto learns, Surely knows.\\\n\\\n[https://drive.google.com/file/d/1x5B44OPfZxd-32UBeGT-0a5WVdMf3Jnl](https://drive.google.com/file/d/1x5B44OPfZxd-32UBeGT-0a5WVdMf3Jnl/view?usp=sharing)\n\n**The problem: America picks health plans from one number**\n\nMore than 20 million Marketplace enrollees choose coverage off the sticker premium. That guess is expensive.\n\n• In our data, the lowest-premium plan was the lowest-cost option in **0 of 2,000 simulated years**.\n\n• In one example, the cheaper sticker would have cost **$8,052 more** in a single bad year.\n\n• That's one person. Multiply the risk across a family. Across a company.\n\n• This year alone, **four million Americans** found out what their plans actually cost — and walked away from coverage.\n\nWe compute.\n\n**Surely — the cost engine**\n\nSurely ranks all plans by what they'll actually cost: premiums, deductibles, drug tiers, networks, out-of-pocket caps. Every number sourced from government filings.\n\n**Inveto — the denial workbench**\n\nClinics upload a denial and the clinical record; Inveto produces source-cited, physician-signed appeals and supported prior authorizations. Live with real clinics across Texas, Georgia, and California today.\n\n**The moat is the join**\n\nEvery contract-authorized Inveto outcome becomes rights-cleared data about what plans actually do, including approvals, denials, appeals; Surely reads all of it. **What plans cost + what plans do. Nobody else has both.**\n\n**Why now**\n\nIn 2028, health plans stop renewing automatically: 20 million+ people will re-choose coverage every single year — the largest forced re-shop in the history of American health insurance. $150 billion a year in premiums, re-decided annually.\n\nAnd employers are next. The federal government projects **800,000 companies and 11 million+ people** will switch to ICHRA, where employees choose their own plans. That's a **trillion-dollar shift**. With Insurf, employers can expect to save **\\~$5,000 per employee, per year**.\n\n**Who we are**\n\nTwo friends who met during orientation at Brown. Chang got into medical school at 17, then worked a pharmacy counter watching thousands of people pay out of pocket for what they were promised. Bryan placed internationally in CS and physics competitions and has published IEEE research since high school.\n\n**Our ask**\n\n• Tired of overpaying for health insurance?\n\n• Weighing ICHRA, or trying to cut your company's benefits spend?\n\n• Running a specialty clinic buried in denials and prior auths?\n\nSee how much your company can save here: [insurf.io/audit](https://www.insurf.io/audit) or email [founders@insurf.io](mailto:founders@insurf.io) — we'll show you exactly what you'd save.\n\n**Everyone sells plans. Nobody prices them. We compute.**",
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        "votes": 97,
        "created_at": "2026-08-19T21:00:00.658Z"
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    "name": "Floracene",
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    "all_locations": "New York City, NY, USA",
    "long_description": "Floracene lets any healthcare operator describe the internal tool they need and deploy it in one click - connected to production data, with read and write access scoped by the user. Think Lovable or Retool, except purpose-built for the needs of healthcare business that has no engineering team.\r\n\r\nThe bottleneck in healthcare isn't building anymore. Anyone can vibecode an 80% solution in an afternoon, custom to their own workflow, with people already on staff. The tool then dies locally on the builder’s computer, because IT (correctly) won't let anyone deploy a tool touching PHI without first-class authentication and permissioning. Our first customer had multiple employees who had each built useful tools and dashboards locally, but couldn’t actually share these with coworkers or connect to their core practice data. Within weeks of implementing Floracene, they were able to consolidate their BI tooling into Floracene and shipped 4 net-new to production.\r\n\r\nA staggering ~$200B is spent on administrative software in healthcare every year in the US. Tens of thousands of those companies still run core operations on spreadsheets, and we're at the top of the first inning of AI adoption.\r\n\r\nAsaph and Jonah met on the hospitals team at Palantir two years ago, and have each spent the last four years in the plumbing of US healthcare: claims, eligibility, and payor contracting. Asaph was an early PM at Garner. Jonah was a founding engineer at Metriport (YC S22) after starting his own fax-automation startup for fertility clinics.",
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        "full_name": "Asaph Kupferman",
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    "long_description": "We build foundational AI models for chemistry. Almost nothing you buy is a single chemical. Products like datacenter coolant, GPU thermal paste, paint, and glue are formulations, which are mixtures of around ten ingredients each, and demand for them has grown quickly because of AI and EVs.\r\n\r\nDesigning a new formulation is essentially a search problem, because there are more possible mixtures than anyone could ever test, and none of them can be predicted in advance. As a result, bringing a single formulation to market today takes three to five years of trial and error in a lab.\r\n\r\nOur models predict how a mixture will behave far faster than the standard methods used today, which lets us design new formulations in weeks rather than years, at a fraction of the cost. To prove this, we used them to invent three chemicals that never existed before, including a PFAS-free coolant for datacenters, and we have since synthesized and patented all three.\r\n\r\nWe are already working with some of the largest manufacturers to design formulations for them, and we are building our own lab to generate the data that will train our next models.",
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        "full_name": "Ansh Tiwari",
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        "founder_bio": "Building AI for scientific discovery | Physics @ Caltech, ex-NASA, Author of 3x ICML papers | Masason Foundation Member",
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        "full_name": "Ayush Chauhan",
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        "founder_bio": "AI for chemical discovery | ex-Speechify (50M+ users) & 2x YC engineer | NeurIPS-published ML research, used by OpenAI & Meta",
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        "full_name": "Daood Hashmi",
        "title": "Founder",
        "founder_bio": "Researching in the Arnold and Marcus Lab at Caltech",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/daood-hashmi/",
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        "id": 108802,
        "title": "Rasyn: One place to run any Chemistry task",
        "tagline": "Towards a General Intelligence for Chemistry",
        "body": "**Hey!**\n\nWe're **Rasyn**, and we built a platform called **Marigold**. Give it any chemistry task in plain language and it pulls the literature, reads your files, picks the tools, sets up and runs the calculations on its own machine, and hands back the numbers along with its reasoning what it did to get them. \n\nIt's live at [app.rasyn.ai](http://app.rasyn.ai); here's a short demo: <https://youtu.be/ru1BeRBlRec>\n\n\\\n**Here's the team:** \\\nOur team has worked at NASA JPL, and researched with scientists from Nvidia and Deepmind. Our team has worked on softwares serving 50 million users, and their research was used by frontier AI labs including OpenAI and Meta. Our team studies Computational Chemistry at Caltech, has done Total Synthesis for 4+ years, and researched alongside Nobel Laureates, so they have faced these problems firsthand. They'd lose hours deciding which tool to call next, moving outputs between disconnected tools, and running a single program at a time.\n\n**Problem:** \\\nChemistry has countless software. There's one for predicting a structure, another for proposing a route, another for reading a spectrum. None of them talk to each other, so you're stuck feeding outputs between them; this clerical work is where the time goes, none of which is science.\n\n\\*\\*Solution:\\*\\*\\\nWe tried coding agents first. They're built to write software, so a chemistry task gets handled as a scripting problem and the chemistry goes unverified. Marigold checks between steps and stops when something doesn't hold.\n\nIt runs on its own machine, so it installs and executes what it needs. It works with the tools chemists already use, submits jobs to your cluster, and runs on whatever model endpoint you have, so your data can stay in the building. In the demo we hand it four thousand compounds and ask which are worth screening. It does the whole thing itself.\n\nLonger term we're building toward a general intelligence for chemistry. Marigold today reasons over existing tools, and that's where we start.\n\n**The Ask:**\n\nThis is only the first version; it will break. And we'd like it to break in front of chemists, so if you run any sort of chemistry, please try it and tell us where it falls over. \n\nWe'd also love intros to any lab doing chemistry, computational or wet, since we want to sit down and work through a real problem with people. \n\nHappy to answer any questions!",
        "url": "https://www.ycombinator.com/launches/SIs-rasyn-one-place-to-run-any-chemistry-task",
        "votes": 9,
        "created_at": "2026-08-03T19:40:21.411Z"
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    "name": "Elite",
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    "website": "https://elitehq.ai/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Elite builds AI voice agents that run the front office for healthcare practices. Elite answers every patient call instantly and finishes the job inside the practice's EHR: scheduling, triage, referrals, refills, eligibility, intake, and billing, across voice, SMS, and web, around the clock.\r\n\r\nFront offices are drowning in phone volume, so patients wait on hold, calls go unanswered, and staff get pulled away from care. Elite picks up every call, resolves the routine ones end to end, and escalates anything complex to the team with full context. It ships knowing the scheduling protocols of 18 specialties and writes back to more than 19 EHRs including Epic, athenahealth, eClinicalWorks, and ModMed. There is no rip-and-replace, it goes live in days, and every resolved patient interaction is what we charge for.\r\n\r\nOur starting point is healthcare. The mission is to rebuild the critical industries America runs on, including government, finance, insurance, and manufacturing, by deploying AI agents into the slow, manual workflows at their core.",
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    "country": "US",
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        "full_name": "Raj Jagiasi",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder @ Elite - Rebuilding critical American industries. Prev at Deel. College dropout.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/raj-jagiasi/",
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        "full_name": "Vihaan Jagiasi",
        "title": "Founder/CTO",
        "founder_bio": "co-founder @ Elite. engineer #3 at cadastral (acq by Legora). waterloo dropout",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/vihaanjagiasi/",
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      {
        "id": 108362,
        "title": "Stratum Industries - Applied AI for Governments",
        "tagline": "AI agents that automate the complex manual workflows governments run on.",
        "body": "**TL;DR: Stratum builds AI agents that automate the slow, manual processes governments run on. We're starting with application review - clearing backlogs in a fraction of the time and saving agencies tens of billions a year.**\n\n![uploaded image](/media/?type=post&id=108362&key=user_uploads/1648613/f70bb601-955f-4c6c-946f-8d8c90d04fa6)\n\n**The problem**\n\nGovernments run on manual work. Millions of complex processes - reviews, approvals, filings, claims -are still handled by hand, one file at a time, on software built long before AI existed.\n\nTake application review. Every permit, license, patent, drug approval, and benefits claim in America is reviewed by hand, one file at a time. Millions sit in queues while people wait months and years: veterans on disability ratings, families on pensions, builders on permits.\n\nThe tools reviewers open every morning were built long before AI. So the work stays manual, and the queue only grows.\n\nThis isn't one broken workflow. It's how the entire government runs.\n\n**What Stratum does**\n\nStratum builds AI agents that automate the slow, complex, manual processes governments run on.\n\nWe're starting with application review.\n\nA reviewer uploads an application and selects the rubric to check it against. From there, an agent takes over: it plans the review, works through the file end to end, and checks every requirement, routing each step to the right model.\n\nA human approves every outcome, and every step is fully auditable.\n\nThe difference is scale. Instead of one reviewer on one file, hundreds of agents run in parallel — clearing an entire backlog in the time it once took to review a single application.\n\n![uploaded image](/media/?type=post&id=108362&key=user_uploads/1648613/e23f9409-271f-4879-95aa-374eb37ae64f)\n\n**Who we are**\n\nWe're Vihaan (VJ) and Raj - brothers.\n\nVihaan (CTO): founding engineer #3 at Cadastral (acquired by Legora), waterloo dropout.\n\nRaj (CEO): led GTM at Deel, dropped out of CS grad school at the University of Bath.\n\n**Where this goes**\n\nApplication review is the first workflow. The mission is to integrate AI across every vertical inside the government.\n\nGovernments are among the largest, most complex organizations on earth — and almost none of it has been touched by modern AI. We're changing that, saving agencies tens, eventually hundreds, of billions a year and making the government one of the most efficient institutions in the world.\n\nLooking to bring AI into your agency? Reach out to the team or book a demo [stratumindustries.co](https://stratumindustries.co/)\n\nContact: [founders@stratumindustries.co](mailto:founders@stratumindustries.co)",
        "url": "https://www.ycombinator.com/launches/SBm-stratum-industries-applied-ai-for-governments",
        "votes": 9,
        "created_at": "2026-08-14T18:00:00.843Z"
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      {
        "id": 108348,
        "title": "Stratum Industries - clearing the entire U.S. Government backlog",
        "tagline": "AI agents that review government applications end-to-end, so backlogs that took years clear in minutes.",
        "body": "**TL;DR**\n\nStratum builds AI agents that clear the U.S. government's backlog. A reviewer drops in an application, picks the rubric to check it against, and an agent plans, executes, and reviews the file end to end. Hundreds run in parallel with a human approving every decision, so a backlog that used to take months clears in the time it took to review one file.\n\n**The Problem**\n\nEvery permit, license, patent, drug approval, grants and benefits claim in America has to be reviewed by a government adjudicator, on software built decades before AI. The result is millions of applications stuck in queues, and real people waiting months or years: veterans on disability ratings, families on pensions, builders on permits. The approval isn't the problem. The software it runs on is.\n\n**How Stratum Works**\n\n1. A reviewer drops in an application and selects the rubric it needs to be checked against.\n2. An agent reads every page and checks the file against that rubric.\n3. Every step routes to the model that reviews it most accurately for the least cost.\n4. Anything missing goes back to the applicant as one specific request.\n5. The officer gets the whole file summarized, with every citation behind it, and approves or denies it.\n\nHundreds of these run in parallel in the cloud, with full auditability at every step, and a person always makes the final call.\n\n![uploaded image](/media/?type=post&id=108348&key=user_uploads/1648613/15e81a7e-32ca-4280-9822-bc49caed3028)\n\n**The Vision**\n\nIn a couple of years, dealing with the government should feel as frictionless as booking an Uber or paying with Apple Pay. You tell your Stratum agent what you need, a permit, a license, a claim, and it fills out the application and submits it. On the other side, the government's Stratum agents review it, ask your agent for anything missing, and settle it between themselves. The decision comes back the same day, in minutes. No waiting weeks or months. Clearing today's backlog is only the beginning.\n\n**Team**\n\nWe're Vihaan and Raj, brothers. Vihaan was founding engineer #3 at Cadastral (acquired by Legora) and dropped out of Waterloo to build Stratum. Raj led GTM at Deel, averaging 220% of quota over two years and ranking top 5 of 1,000+ reps globally, and dropped out of grad school at Bath to build Stratum.\n\n![uploaded image](/media/?type=post&id=108348&key=user_uploads/1648613/40ac0440-bf77-46cf-b30e-370f734c3203)\n\n**Our Ask**\n\n* Do you work in government and struggle with a review backlog? We want to talk. Email [founders@stratumindustries.co](mailto:founders@stratumindustries.co)\n* Know someone who runs adjudication at a federal, state, or local agency? Intro us.",
        "url": "https://www.ycombinator.com/launches/SBY-stratum-industries-clearing-the-entire-u-s-government-backlog",
        "votes": 2,
        "created_at": "2026-07-30T01:21:28.889Z"
      }
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  },
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    "id": 32587,
    "name": "TareBio",
    "slug": "tarebio",
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    "website": "https://tarebio.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Our platform develops personalized or population-level vaccines for any disease in weeks by changing only one input: the immune imprint. Instead of trying to predict which antigens might work, we read out immune cells already fighting the disease in the body and reverse-engineer antigens that activate them. We've already run our platform end-to-end and created a vaccine that cured cancer in mice.",
    "one_liner": "Vaccines for any cancer or infection in weeks.",
    "team_size": 1,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Drug Discovery and Delivery",
    "launched_at": 1785462754,
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      "Synthetic Biology",
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    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/tarebio",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/tarebio.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/tarebio/",
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    "primary_partner": {
      "name": "Ankit Gupta",
      "url": "https://www.ycombinator.com/people/ankit-gupta"
    },
    "founders": [
      {
        "user_id": 431020,
        "full_name": "Eta Atolia",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO, TareBio (YC S26). MD-PhD from UCLA-Caltech, where she built a novel platform that develops vaccines for any cancer or infection in weeks, funded by the Gates Foundation. BS in Biology from MIT. Conducted research at the Koch Institute, Harvard Medical School, and the Weizmann.\n\nSelect Awards: UCLA MD-PhD Merit Scholar, UCLA TDG Senior Fellow, MIT iGEM Gold Medal, MIT IDEAs winner, MIT Dean Advisory Group, WhiteHouse Science Fair, Bessie Lawrence Scholar, Intel STS Finalist",
        "is_active": true,
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    "launches": [
      {
        "id": 108804,
        "title": "TareBio: Vaccines for any cancer or infection in weeks",
        "tagline": "We make personalized or population-level vaccines reverse-engineered from the immune system. We have already cured cancer in mice and are vaccinating our first patient within the year.",
        "body": "**TL;DR:** Our platform develops **personalized** or **population-level** vaccines for **_any_ disease** in weeks by **changing _only one input_**: the immune imprint. Instead of trying to predict which antigens might work, we read out immune cells already fighting the disease in the body and reverse-engineer antigens that activate them. We've already run our platform end-to-end and created a vaccine that cured cancer in mice. We will be vaccinating our first patient within a year.\n\n![uploaded image](/media/?type=post&id=108804&key=user_uploads/431020/46cdbd4d-72d9-4231-a781-01a886dd82a4)\n\nView our launch video here: <https://www.youtube.com/watch?v=ty7jA8ecY2o>\n\n**The vaccine bottleneck**\n\nFor 200+ years, vaccines have been designed using the same workflow: study a pathogen or tumor, _predict_ which antigens might trigger protection, vaccinate, and hopefully generate a good immune response. This works for simpler infections. It has struggled for decades on complex diseases like HIV, TB, Hep C, and nearly _every cancer_. Currently, vaccine design is treated as a prediction problem.\n\n**What we do differently**\n\nInstead, we treat it as a readout problem. The **immune system has _already solved_** antigen selection in the body, it knows what it's responding to and the best immune cells for the job. So, we flip the whole process around:\n\n1. Capture the immune cells already responding to a cancer or infection, the \"**immune imprint**\"\n2. Use this imprint to directly identify, or “**reverse engineer**”, activating antigens\n3. Build a **vaccine** from those antigens\n\n![uploaded image](/media/?type=post&id=108804&key=user_uploads/431020/31744f0e-4a44-4aa9-aa2e-29d174a8d30a)\n\nThe same platform works for **_any_ disease** by changing one input: the immune imprint. Function over prediction, no constrained search space, and the output is a vaccine that can generate durable immunity in the body, not a transient antibody conjugate or cellular therapy.\n\n**Proof**\n\nWe built the full platform in mice and ran it end-to-end: identified antigens from the immune imprint of the cancer, designed a vaccine from them, and **cured lymphoma in mice.** Nothing about the technology is specific to lymphoma, it generalizes to any cancer or infection. We are using our technology to create both personalized (n=1) and population-level vaccines.\n\n**Why us**\n\nI'm Eta Atolia, founder and CEO. I built this platform over the last 8 years as part of my MD-PhD at UCLA-Caltech with funding from The Gates Foundation. Before this, I did my undergrad at MIT with most of my time dedicated to cancer immunotherapy and infectious disease research at the Koch and HMS. Our scientific advisory board includes Darrell Irvine, PhD (Vice Chair of Immunology at Scripps, Former MIT Professor of 22 years, world-renowned vaccine engineer), Manish Butte, MD, PhD (Chief of Immunology at UCLA and expert rare disease clinician), and John Glaspy, MD, MPH (Endowed Chair and Medical Director of Integrative Oncology at UCLA).\n\n**Our ask**\n\nWe are actively working with organizations and individuals to create both population-level vaccines and personalized treatments.\n\nHelpful things as we build:\n\n* If you have **patient tumor** **or** **blood samples**, please reach out.\n* Intros to **biotech + pharma** and **vaccine teams** for partnerships.\n* **Immunologists, oncologists, infectious disease specialists,** and **ML engineers** who want to build this with us.\n\nIf any of this resonates, reach out at [contact@tarebio.com](mailto:contact@tarebio.com).\n\n![uploaded image](/media/?type=post&id=108804&key=user_uploads/431020/e32e6406-ca9a-4740-9a77-48dd31f02e7f)\n\n",
        "url": "https://www.ycombinator.com/launches/SIu-tarebio-vaccines-for-any-cancer-or-infection-in-weeks",
        "votes": 13,
        "created_at": "2026-08-04T14:27:01.936Z"
      }
    ]
  },
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    "id": 32623,
    "name": "Omanta",
    "slug": "omanta",
    "former_names": [
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    "website": "https://omanta.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Omanta is a personalized research lab for patients who have exhausted standard options, want to prepare proactively for recurrence, or are living with an unresolved diagnosis.\r\n\r\nWe direct the full operational infrastructure, personnel, expertise, and technology of a large research program toward understanding and addressing the challenges of individual patients across oncology, rare disease, and undiagnosed conditions.\r\n\r\nFor clinicians, we act as a collaborative partner, providing a living roadmap for ongoing patient care built on a rigorous and evolving scientific evidence base.\r\n\r\nWe fully operationalize patient-specific research programs, covering tissue logistics, diagnostic follow-up, data integration, multiomic analysis, therapeutic strategy development, and more.\r\n\r\nOmanta brings context and clarity to complex cases, helping clinicians see more of the scientific picture as they decide how best to care for their patients.",
    "one_liner": "A research lab for one",
    "team_size": 6,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1785793252,
    "tags": [
      "Digital Health",
      "Healthcare",
      "Health & Wellness",
      "Oncology",
      "AI"
    ],
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/omanta",
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    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/omanta/",
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      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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    "founders": [
      {
        "user_id": 3670159,
        "full_name": "Alfredo Gonzalez",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder and CEO of Omanta. PhD in Cancer Bioinformatics from UCLA, biomedical researcher at Broad Institute and Harvard.  Spearheaded personalized therapeutic campaigns for patients creating personalized vaccines, immunotherapies, and radioligands. 10+ years in personalized medicine. Fueled by the belief that the future of Health is deeply personalized.\n\n",
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        "linkedin_url": "https://www.linkedin.com/in/alfredo-gonzalez-phd/",
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      {
        "user_id": 3399110,
        "full_name": "Ranad Humeidi",
        "title": "Founder and Chief Scientific Officer",
        "founder_bio": "Co-founder & CSO at Omanta, working with patients to turn frontier science into personalized treatment strategies. Harvard Chemical Biology PhD in 3 years; identified a druggable ulcerative colitis mechanism that led to a multimillion-dollar GSK collaboration. Built and directed a multimillion-dollar rare cancer program for one patient, coordinating researchers, physicians, biotechs, and drug developers. Led strategies for 12+ complex patients after standard options were exhausted.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rhumeidi",
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      {
        "id": 108925,
        "title": "Omanta: A personal research lab dedicated to each patient.",
        "tagline": "A research lab, for one.",
        "body": "Hey YC! We're Alfredo and Ranad, the founders of Omanta.\n\n**TL;DR: Omanta creates a personalized research lab around a single patient. We integrate a patient’s complete medical record, personal genomics, and use AI to take on the most complex cancer cases. Our researchers tackled GitLab co-founder Sid Sijbrandij’s case, helping bring him into complete remission.**\n\n<https://www.youtube.com/watch?v=EkZaq_fENqI>\n\n\\\n**Why this matters**\\\nIf you're a cancer patient, you'd think the hardest cases have entire teams dedicated to solving them. The reality: most doctors have about 20 minutes per patient, while the science never stops moving. New discoveries emerge every day, yet reaching standard clinical care can take over a decade (\\~17 years on average). Physicians make high-stakes decisions with limited time, and even the most difficult cases rarely have anyone whose full-time job is to interrogate every layer of that one patient's disease and push the newest science toward their treatment.\n\nThat's the gap we built Omanta to close.\\\n\\\n**What we do**\\\nWe meet patients wherever they are in their journey. We integrate their complete medical record and personal genomics with AI and clinical evidence to understand the molecular drivers of their disease. Then we map every existing therapy against their biology, and if the right therapy doesn't exist, we build it, from cancer vaccines and immunotherapies to highly targeted radioligand therapies.\\\n\\\nWe've worked on some of the most complex cancer cases in the world. Most notably, **Alfredo was the genomics lead for the personalized therapeutic campaign behind GitLab founder Sid Sijbrandij's complete remission**, partnering with leading institutions to pursue personalized mRNA/DNA vaccines, CAR-T programs, drug repurposing, expanded-access therapies, and continuous molecular monitoring. We've seen what becomes possible when the full force of modern science is organized around a single person, and Omanta brings that depth of investigation to every case.\\\n\\\n**Why us**\\\nWe met eight years ago working on early CRISPR cancer research and have been building toward this ever since.\n\n* **Alfredo Gonzalez, PhD (CEO)** — translational genomics. Led the year-long investigation of 25TB of sequencing and molecular data for Sid Sijbrandij, key missing information in existing genomic reports, and uncovered actionable findings that reshaped his therapeutic strategy, including personalized mRNA/DNA vaccines, CAR-T, expanded access, drug repurposing, and continuous monitoring. PhD at UCLA, where he built one of the world's largest centralized multi-omic datasets for rare tumors. Previously at the Broad Institute (Cancer Dependency Map, validating targets from large-scale CRISPR screens) and Harvard's Wagers Lab.\n* **Ranad Humeidi, PhD (CSO)** — chemical biologist. Earned her PhD in Chemical Biology from Harvard in three years, where she identified a druggable mechanism in ulcerative colitis that became the basis of a multimillion-dollar GSK collaboration. Built and directed a multimillion-dollar scientific program centered on a single rare-cancer patient, then went on to direct scientific strategy for 12+ medically complex patients after standard options were exhausted. At the Broad, she co-created and co-led a fellowship turning scientific discoveries into companies.\n\n\\\n**Our ask**\n\n* Intros. If you or someone you love is facing a difficult cancer diagnosis, we want to hear from you.\n* We're also looking to connect with physicians who want a dedicated research team behind their most complex cases.\n* Reach us here on Bookface or at [alfredo@omanta.com](mailto:alfredo@omanta.com) &amp; [ranad@omanta.com](mailto:ranad@omanta.com).\n\n[omanta.com](http://omanta.com)\\\nA research lab, for one.",
        "url": "https://www.ycombinator.com/launches/SKr-omanta-a-personal-research-lab-dedicated-to-each-patient",
        "votes": 73,
        "created_at": "2026-08-04T13:31:15.555Z"
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    "id": 32979,
    "name": "RonanRx Inc.",
    "slug": "ronanrx-inc",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "RonanRX is a full-stack pharmaceutical company, starting with personalized peptides and GLP-1s.\r\n\r\nIn our first 10 weeks, we went from having no pharmacy to being licensed in 33 states. Since launch, we’ve grown 50% week over week.\r\n\r\nWe manufacture the medications ourselves, sell directly to patients, and eliminate the layers of middlemen that make prescription drugs more expensive.\r\n\r\nWhat makes this possible is AI.\r\n\r\nTraditional pharmaceutical companies are built to manufacture one drug for millions of people. RonanRX is purpose-built to personalize treatment for each patient: different biology, different response, different dose.\r\n\r\nPatients come directly to RonanRX or through doctors using our platform. Every patient completes our medical intake, meets with a licensed doctor through our telehealth platform, and receives a personalized prescription when appropriate. From there, we manufacture the medication ourselves and deliver it directly to the patient.\r\n\r\nLabs, wearables, medical history, treatment response, and other health data feed back into the platform so doctors can continuously refine treatment over time.\r\n\r\nBefore AI, doing this for every patient at scale was impossible.\r\n\r\nWe didn't invent the demand we are seeing. 80 Million people are on a GLP-1 and millions more are using Peptides. We're building a better way to manufacture, personalize, prescribe, and deliver them.\r\n\r\nOur founders have built and exited multiple companies, raised more than $100M, built a $50M U.S. medical manufacturing business, and spent years developing peptide therapeutics at companies including Eli Lilly and AbbVie.\r\n\r\nWe’re just getting started with peptides and GLP-1s. Next comes hormone therapy and the rest of personalized medicine.",
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    "team_size": 5,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1784908687,
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      {
        "user_id": 26799,
        "full_name": "Lloyd Armbrust",
        "title": "Founder/CEO",
        "founder_bio": "2x YC founder. 3 Exits. 6 Kids. Built a $50M manufacturing business. Now building RonanRX.\n\nWe are the world's first full-stack pharmaceutical company for personalized peptides & GLP-1s. We manufacture and ship direct to patients, using AI to personalize treatment. This was impossible before AI. \n\nLicensed in 33 states; growing 50% WoW.",
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      {
        "user_id": 3672671,
        "full_name": "Emily Colman",
        "title": "Founder",
        "founder_bio": "Co-Founder & COO at RonanRx, I deliver personalized, doctor-reviewed peptide and GLP-1 care that starts with a text. \n\nI am go-to-market operator with over a decade in healthcare sales, most recently at Eli Lilly,  I support weight management solutions for hundreds of physicians and millions of patients.\n\nI have 2 children: Quinn (4) and Leo (1) based Austin, TX.",
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        "id": 107336,
        "title": "RonanRX: We use AI to personalize peptides to your biology",
        "tagline": "RonanRX is a full-stack AI pharmacy specifically for peptides",
        "body": "**Peptides are like Claude Code for your body. Your biology is the prompt.**\n\n**TL;DR:** RonanRx personalizes GLP-1s like Ozempic and other peptides to _your_ biology, because you are not average. Connect your lab results, wearable data, and medical history once. Our HIPPA compliant Al turns them into a plan which a licensed doctor prescribes, adjusts every cycle, and ships to your door. Start with a text at [**RonanRx.com**](http://RonanRx.com).\n\n### **Big Pharma Makes 1 Drug for Millions.**\n\nPeptides are the most personalizable medicine we have, and everyone has different biology. GLP-1s like Ozempic help you lose weight. Others help you recover faster, sleep better, live longer. Telemedicine often prescribes them like a vending machine: fill out a quiz, a doctor you’ll never meet rubber-stamps it, and you get the same molecule at the same dose as everyone else. Nobody reads your data and adjusts when your body responds differently than the “average patient.” That’s not medicine, it’s a spreadsheet.\n\n### **How RonanRx works**\n\nConnect your health data once, and we run the complete feedback loop for personalized medicine:\n\n* **Your biology in one place.** We sync your labs, wearables, medical history, and treatment response into a single health profile.\n* **AI turns data into a plan.** It reads how _you_ are responding and proposes the next move: dose, formulation, what to add.\n* **A real doctor decides.** Every prescription is made and adjusted by doctor looking at the same data you are. The AI proposes, the doctor prescribes.\n* **Delivered to your door,** and every outcome improves your next protocol.\n\nInstead of treating the average patient, we personalize your treatment continuously as your body changes.\n\n### **Why us**\n\nBuilding a healthcare company isn’t for tourists. We’re native to the space, and passionate about fixing what’s wrong. Our founders have built and exited multiple companies, raised over $100M, and built a $50M U.S. medical manufacturing business. Lloyd Armbrust is a 2x YC founder, 3 exits, 6 kids, and the oldest founder in S26. Emily Colman spent a decade in healthcare sales, most recently at Eli Lilly, supporting weight-management for hundreds of physicians and millions of patients.\n\n### **Find out what peptides can do for you**\n\n**Start texting us at [RonanRx.com](http://RonanRx.com)** and become the maximum version of yourself.\n\n![uploaded image](/media/?type=post&id=107336&key=user_uploads/26799/336818ca-7507-4c5a-aaaf-9909502fdeed)\n\n_Doctors and clinics: we white-label this entire stack so you can offer personalized peptide care under your own name. Reach us at \\[[**founders@ronanrx.com**](mailto:founders@ronanrx.com)\\]._\n\n— Lloyd Armbrust &amp; Emily Colman",
        "url": "https://www.ycombinator.com/launches/RvE-ronanrx-we-use-ai-to-personalize-peptides-to-your-biology",
        "votes": 65,
        "created_at": "2026-07-24T19:21:00.074Z"
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    "id": 32985,
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    "website": "https://lumeria.skin",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "The Lumoscope is a multispectral camera that clips onto your phone and scans your skin at home with the same light used in clinics. You see what a mirror can't: a breakout days before it surfaces, and wrinkles changing over time. Our software then reads that history, connects flare-ups to causes you'd never suspect, and matches products to what your own data shows works. \r\n",
    "one_liner": "Oura Ring for Skin",
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      "name": "Tyler Bosmeny",
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      {
        "user_id": 3452622,
        "full_name": "Maryanne Alhallak",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO at Lumeria. Prev. Founder of 7-time award winning biotech startup (exited in 1.5 years). Beauty & lifestyle influencer (26k+ followers, 10M+ views in 2 months). Published author at 9 years old with <3 years of English knowledge as Syrian Refugee. UC Berkeley BS Bioengineering + BA Economics admit at 15. Prev. strategy work @ Flex, Pfizer, & PBS. Wetlab + CompBio Researcher.",
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        "linkedin_url": "https://www.linkedin.com/in/maryanne-alhallak-33b250241",
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      },
      {
        "user_id": 3470868,
        "full_name": "Anthea Guo",
        "title": "Founder/CTO",
        "founder_bio": "Founder and CTO at Lumeria. Previously Team Lead at Google, leading a 6-person Berkeley collaboration on DeepVariant. Built HPC pipelines at Boehringer Ingelheim. Built Streamind's phone-based pulse capture pipeline. Co-founded Computational Biology @ Berkeley.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/anthea-guo",
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    "news": [
      {
        "title": "From Berkeley to Y Combinator: Lumeria Founders Build the Oura Ring for Skin - UC Berkeley Sutardja Center",
        "url": "https://scet.berkeley.edu/from-berkeley-to-y-combinator-lumeria-founders-build-the-oura-ring-for-skin/",
        "date": "Jul 01, 2026"
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    "launches": [
      {
        "id": 109979,
        "title": "Lumeria - What if there was an Oura Ring for Skin?",
        "tagline": "What if there was an Oura Ring for Skin?",
        "body": "# Lumeria is the Oura Ring for Skin:\n\nTLDR: Lumeria is the Oura Ring for Skin: the Lumoscope clips onto your phone, scans your skin with the same multispectral light used in clinics, and Lumi, your AI skin coach, reads that history to personalize recommendations for you, so your routine is built on your data instead of someone else's.\n\nPreorders are open at the $199 founding price until **August 16. After that, the price only goes up**. <https://lumeria.skin> \n\n<https://www.youtube.com/watch?v=W-tz9FIQiOg>\n\n## ❌ The problem\n\nAnthea’s sister spent eight years chasing her eczema.\n\nThe cause turned out to be dust in the carpet.\n\nNo one caught it because no one was recording anything. Her skin was reacting to her sleep, her home, her products, the air around her, and none of it existed as data. Every dermatologist that took months to see started from zero. Every product she tried was a guess.\n\nThat is the **$190B** skincare industry in one story. It runs on guessing.\n\nLumeria ends that: it captures the missing data layer that gives you the power to understand and own your skin's health data, from home.\n\n![uploaded image](/media/?type=post&id=109979&key=user_uploads/3470868/08058377-6a96-414b-b03e-44ff36f8622a)\n\n## 🔬 How it works\n\nThe Lumoscope shrinks the multi-spectrum imaging dermatology clinics use into a clip for your phone. Press it against your skin and see yourself in three kinds of light: true color (RGB), UV, and cross-polarized.\n\n![uploaded image](/media/?type=post&id=109979&key=user_uploads/3470868/76776eef-52f9-4416-827c-36c74760f8dd)\n\nFor the first time, you see what your mirror can't: a breakout building days before it surfaces, sun damage hiding under flawless-looking skin, where inflammation is building up.\n\nEach scan becomes an objective read (hydration, redness, evenness, pigmentation, texture, pores) plus a score out of 100 and a skin age, so you can understand your progress.\n\nTrack them over time, and Lumi tells you exactly what to do. \n\n* It finds the cause, linking your breakouts to habits you'd never think of, from your sleep to your cycle to the pillowcase you forgot to wash. \n* It recommends products from a database of 18000+ products + ingredients, matched to what your scans actually show works.\n* It hands your dermatologist 90 days of images, trends, and context in one tap.\n* And it compounds: every scan adds to a history and increased understanding of your skin’s relevant context.\n\n![uploaded image](/media/?type=post&id=109979&key=user_uploads/3470868/c36570ca-4042-47bc-beb4-5f1a27014d6a)\n\n It works across every skin tone. It is private and encrypted by default. \n\n## 👥 Why we built this\n\nAnthea, our CTO, lived with this problem: suffering from eczema that would not heal, five months to reach a dermatologist, four misdiagnoses. She is an engineer who worked on computational biology at Google and Boehringer Ingelheim. Maryanne, our CEO, is a skincare creator with 25M+ views across her UGC portfolio, exited her first biotech company by 19, and still could not explain her own breakouts until Lumeria. We understand the helplessness people feel with their skin, so we built what was needed.\n\nWe are patent pending, shipping in Fall 2026, and built on 150+ interviews and 2 clinical partnerships with dermatologists and patients.\n\n![uploaded image](/media/?type=post&id=109979&key=user_uploads/3470868/d7da4795-da8c-4edd-8c96-58e540656067)\n\n## 🚀 Why preorder right now\n\nThis is the best moment there will ever be to own a Lumoscope:\n\n* **$199 until August 16.** The founding price is the lowest it will ever be, and it will go up to 329 otherwise. \n* **Founding preorders are first in line.** Units ship Sep - Oct 2026, ahead of general release.\n* **3 months of Premium free** plus a 30-day money-back guarantee.\n* **Founding member, not a ticket number:** a direct line to us and a real say in what we build next.\n* **Your skin data compounds from day one:** the earlier you set your baseline, the sooner your recommendations are built on your skin instead of averages.\n\nPreorder now at <https://lumeria.skin>\n\nSee what Lumi has to say about your skin, and own your skin’s story today. ☀️\n\n💛 Reach out to us: [maryanne@lumeria.skin](mailto:maryanne@lumeria.skin) &amp; [anthea@lumeria.skin](mailto:anthea@lumeria.skin)",
        "url": "https://www.ycombinator.com/launches/Sbr-lumeria-what-if-there-was-an-oura-ring-for-skin",
        "votes": 26,
        "created_at": "2026-08-12T14:00:00.255Z"
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    "id": 33016,
    "name": "Gamgee",
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    "website": "https://gamgee.io/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "​Gamgee began with Rosie, founder Paul Conyngham’s dog. After surgery, chemotherapy and immunotherapy failed, Rosie was given months to live. Paul used AI and genomic analysis to identify targets in her tumour, then worked with scientists at UNSW to produce what is believed to be the first fully computationally designed mRNA cancer vaccine delivered to a dog. Following treatment, several tumours shrank significantly and her quality of life improved\r\n\r\nGamgee is building an end to end platform for personalised mRNA cancer vaccines for dogs. We sequence a dog’s tumour and healthy DNA, identify mutations unique to its cancer, and design a vaccine that teaches the immune system what to attack. We manage the entire process- from vet intake and tissue collection through genomic analysis, vaccine production, treatment and response monitoring\r\n\r\n​We are now turning that one off effort into a repeatable clinical system. Gamgee is running clinical trials in Australia, working with vets, oncologists and specialised laboratories, and accepting cases globally. Our goal is to make personalised cancer treatment accessible to every dog that needs it- and use each case to improve the treatment for the next",
    "one_liner": "Curing cancer. Starting with dogs.",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Drug Discovery and Delivery",
    "launched_at": 1784748212,
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        "full_name": "Paul Conyngham",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Gamgee Technologies (YC S26), building personalised mRNA cancer vaccines for dogs.\n\nGamgee grew out of my work using AI and genomics to help my dog Rosie fight cancer. \n\nPreviously co-founded Core Intelligence, building applied AI systems across startups and enterprise, and helped grow Australia’s AI community as a founding member of the Data Science & AI association of Australia. \n\nBackground in ML, data science and electrical and computer systems engineering",
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      {
        "id": 109527,
        "title": "Gamgee: Personalised mRNA cancer vaccines for dogs",
        "tagline": "Input the tumour. Output the vaccine. 300+ dogs on the waitlist.",
        "body": "**We believe that AI meets biology is the biggest opportunity of the 21st century.** We are using AI to build autonomous systems that read biological failure, discover how to control it, and design precise repairs. We are starting with the first computationally personalised mRNA cancer vaccine for dogs.\\\n\\\n**My dog Rosie was dying of cancer.** I designed her an mRNA vaccine. Several of her tumours shrank 50-75%. I am not a biologist - I spent 17 years in machine learning. Doing it by hand took a year and around $20,000. Gamgee is turning that process into software. Our target is a vaccine design in 48 hours and an end-to-end cost of $2,000\n\n<https://www.youtube.com/watch?v=-Jb41jTc0U0>\n\n**How it works**\n\n* We **send you a collection kit** to take to your vet or veterinary oncologist. Your vet collects the tumour and matched healthy samples, which are returned for DNA and RNA sequencing.\n* Our software finds and ranks the mutations worth targeting, and keeps the evidence behind every call.\n* **Out comes an mRNA vaccine** design ready for manufacture. Gamgee designs the vaccine and oversees and coordinates every step through to administration by the treating veterinarian.\n\n\\\n**The market**\n\nApproximately **six million dogs** are **diagnosed with cancer** every year in the United States, and cancer is the leading cause of death in adult dogs. Owners who pursue specialist treatment spend thousands on surgery, chemotherapy and radiation.\\\n\\\n\\\n**The compounding data advantage**\n\nEvery dog we treat returns sequencing, immune and outcome data for a species where datasets remain scarce. That data improves target selection, which improves the next vaccine, which produces better data. We are not just early to the problem - we are the ones accumulating the data that solves it.\n\n\\\n**Proof so far**\n\n* Full computational pipeline built and executed end-to-end as a non-biologist using AI\n* 50-75% shrinkage in the responsive tumours. \n* Microscopic analysis found substantial IBA1+ macrophage and CD3+ T-cell infiltration in Rosie’s responsive lesions, with little in the non-responsive tumour.\n* Second-generation vaccine completed and ready\n* Over a billion impressions on Rosie's story.\n* Backed by Y Combinator (S26) \n\nRosie was one patient. Our next step, already well underway, is a clinician-led trial in 30 dogs to evaluate safety, immune response and clinical outcomes.\n\n\\\n**Why dogs first, and not only dogs**\n\nMost modern dog breeds were created within the last few hundred years from small founder populations and then bred within closed gene pools. This concentrates inherited cancer risk, leaving many breeds unusually prone to particular cancers.\\\n\\\nPet dogs develop cancer naturally, not in a laboratory. Their immune systems are intact and their disease progresses on timelines that let us learn quickly. Dogs are a real market in their own right and the fastest place to get good at personalised cancer vaccines.\n\n\\\n**Our ask**\n\n* **If your dog has cancer, please do get in touch about our upcoming clinical trial.**\n* Veterinary oncologists and specialty hospitals who want to be a trial site.\n* Investors in longevity or personalised medicine - would rather meet you before the trial reads out than after.\n\nWe are building Gamgee so that no other dog waits for hope which arrives too late.\n\nReach me at [paul@gamgee.io](mailto:paul@gamgee.io) or [gamgee.io](http://gamgee.io)\\\n\\\nI love you Rosie.",
        "url": "https://www.ycombinator.com/launches/SUZ-gamgee-personalised-mrna-cancer-vaccines-for-dogs",
        "votes": 186,
        "created_at": "2026-08-11T17:00:00.187Z"
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    "id": 33020,
    "name": "Radley",
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    "website": "https://radley.health/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Radley is the first AI-native radiology practice. We're acquiring a radiology practice bringing Radley to $4.6M in annualized revenue and rebuilding it with agents from the ground up.\r\n\r\nRadiology is already in crisis: there aren't enough radiologists to interpret 1 in 6 medical scans. In 10 years, that gap is growing to 1 in 3 - 246M scans a year.\r\n\r\nFrom past experience, we know that point solutions won’t cut it. While there is demand (we have $2.2M in contracts to prove it), bottleneck isn't just software, it's outdated systems and slow, inefficient operations. That's why we own the full stack, clinical and operational, end to end.\r\n\r\nWe met at Carbon Health as we scaled operations 31x and expanded to 100+ clinics. Now we're rebuilding radiology.",
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    "team_size": 2,
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    "subindustry": "Healthcare",
    "launched_at": 1786061168,
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    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
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      {
        "user_id": 1524974,
        "full_name": "Maryam Jahed",
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        "title": "Radley:  We're building the first full stack, AI-native radiology practice",
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        "body": "**TL;DR: We're Corgi for Radiology. The first AI-native full stack radiology practice. We’re acquiring a radiology practice bringing us to $4.6M in annualized revenue.** \n\n**Problem.** Radiology is already in crisis. The US needs 20% more radiologists to meet demand, and in 10 years that gap will reach 50% - 246M scans the workforce can’t handle. Agents can finally do most workflows. The industry is not moving fast enough to adopt it. \n\n**How we started.** Radiology is flooded with AI hype. We started riding that wave. But after digging into how these practices actually run, and drawing on our time scaling Carbon Health to 100+ sites, one thing became obvious: selling a dozen AI point-solutions and rolling them out department by department is too slow, and only adds incremental value. Building the whole practice in a AI-native way from day one is what’s needed. It solves the radiologist shortage directly instead of one contract at a time. This shift grew our market **21x**.\n\nSame insight Corgi had in insurance: don't sell software to the incumbent, become the AI-native incumbent.\n\nSo now we’re building the entire radiology workflow and business operations AI native and adding capacity without headcount. \n\n<https://www.youtube.com/watch?v=vgHtRDCB22Q>\n\n**Traction:**\n\n* **$4.6M annualized revenue**\n\n**Why us.** We met at Carbon Health as we scaled operations 31x and expanded to 100+ clinics. Now we're rebuilding radiology.\n\n**Our ask. Reach out if:**\n\n* You’re a **radiologist** who wants to work at and shape an AI-native practice\n* You can help connect us with an independent or hospital owned **imaging centers** struggling to keep up with radiology demand \n* Anyone who's building in **AI-native services**, we'd love to compare notes\n\nReach us at [founders@radley.health](mailto:founders@radley.health).",
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        "title": "Hubble: Retrieve medical records other APIs can't",
        "tagline": "Your user verifies their identity once, and we return their medical records through one API.",
        "body": "**TL;DR:** Hubble gives your product a patient's medical records through a single API. Your user verifies their identity once, and we assemble their records from across the providers they've seen and return them for your AI agent to use. Where APIs are not sufficient, we keep going with AI (browser and voice agents). Every request runs on the patient's individual right of access.\n\n**The problem**\\\nIf you're building something that needs a patient's records, there's no clean way to get them. A patient's history is scattered across every provider they've ever seen, and each system is its own island. Most APIs returns the patient-portal subset rather than the full record, and coverage is inconsistent because every health system sets up its integration differently. So most teams either build per-provider integrations for months, fall back to faxes and manual portal logins, or push the problem back onto the patient by asking them to track down their own records or remember a login they set up years ago and have long since lost.\n\n**What Hubble does**\\\nYour user verifies their identity once, and we go get their records so you don't have to.\n\n* **One verification, no work on your end.** The patient verifies their identity in a couple clicks. After that, assembling the records is our job, not yours and not theirs.\n* **We don't stop at the portal subset.** We connect into EHRs and HIEs where they work, and when an API comes back empty we keep going.\n* **Browser and voice agents for everything else.** Agents submit the patient's request through provider portals and call records departments on the patient's behalf, working the phone trees so nobody on your team has to.\n* **Built on the patient's right of access.** Every request runs on the patient's individual right of access. They review every source we request from and can revoke at any time. Every retrieval is logged.\n\n**About the team**\\\nWe're the team behind the AI agents at Grow Therapy and Amazon's One Medical, used by millions of patients. Prabha was Grow's first PM building and scaling their AI agents. Aaron built the AI infrastructure at One Medical serving 1M+ clients. (Fun fact: we've known each other for over a decade.)\n\n**Our ask**\n\n* If your product needs patient records, reach out and we'll get you access: [prabha@hubble.ai](mailto:prabha@hubble.ai)\n* Intros to anyone building AI products on patient data, in digital health, care delivery, life sciences, or legal tech.\n\nSign up at [hubble.ai](http://hubble.ai)\n\n<https://www.youtube.com/watch?v=TC9QoaFHlRk>",
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        "full_name": "Campbell Mercer-Butcher",
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        "title": "Avoca Systems: AI-powered radiology scheduling and communications",
        "tagline": "Automating radiology scheduling and patient communications",
        "body": "Hey everyone 👋\n\nWe’re Max Shand and Campbell Mercer, co-founders of Avoca Systems.\n\nTL;DR: Avoca automates patient scheduling and communications for radiology groups. Our radiology-specific AI handles calls, online scheduling, faxes and e-referrals, guiding patients from referral and booking through to results and follow-up. We’re already live across more than 250 clinics, including networks operating 150+ locations.\n\n<https://youtu.be/ZU3Ebvs5Mk0>\n\n**What it does**\n\nRadiology scheduling is unusually complex. A valid appointment can depend on the modality, body region, contrast requirements, patient history, preparation instructions, equipment availability, staff qualifications and referring-provider details.\n\nThese rules are fragmented across legacy systems, spreadsheets and the tacit knowledge of experienced receptionists. Generic voice and scheduling tools struggle to bring them together.\n\nAvoca integrates with a radiology network’s existing systems and turns its workflows and operational knowledge into one automation layer:\n\n* **AI calls:** Answers inbound calls and runs outbound campaigns for bookings, rescheduling, cancellations, preparation questions and general enquiries.\n* **Online scheduling:** Lets patients upload their referral, complete the necessary clinical and safety questions, and find an appropriate appointment in real time.\n* **Fax and e-referral automation:** Ingests and interprets referrals, identifies missing information and contacts patients to complete their booking.\n* **Operational intelligence:** Encodes each network’s booking rules, rosters, staff capabilities, preferences and tacit knowledge so Avoca can safely fill available scanner capacity.\n* **Patient communications:** Guides patients through preparation, intake, reminders, results and follow-up using voice, text and email.\n\n**Why this matters**\n\nUp to 30% of calls into radiology centres go unanswered as patients wait on hold. Referrals arrive through phones, websites, faxes and electronic systems, leaving staff to manually interpret documents, contact patients and coordinate appointments across multiple systems.\n\nAt the same time, radiology providers face staff shortages, rising operating costs and reimbursement pressure. Missed calls and unprocessed referrals mean patients wait longer while valuable scanner capacity goes unfilled.\n\nAvoca helps networks capture more patient demand, reduce administrative work and complete more scans using their existing clinics, equipment and clinical systems.\n\n**Traction**\n\n* Partnered with 250+ clinics, including several of Australia’s largest radiology networks\n* Reduced call abandonment from approximately 30% to 2%\n* Patient satisfaction averaging 4.6/5\n* More than 80% booking conversion for eligible patient calls in major deployments\n* Integrated with leading radiology and healthcare systems, including Visage, Karisma, Comrad, Epic, Oracle Health and eClinicalWorks\n* Now expanding into the United States\n\n**Why we’re building this**\n\nI (Max) was the first employee at Afterpay and later founded and sold Serenade. Cam was previously a principal engineer at Honey Insurance and Macquarie. Across those experiences, we saw how much better an industry can operate when complex workflows are turned into simple, intuitive products.\n\nHealthcare is a chaotic mess of work that falls between systems: calls that go unanswered, referrals that sit in fax queues and operational knowledge that exists only in the heads of experienced staff.\n\nWe started with radiology because the scheduling complexity is exceptionally high and the consolidation of radiology clinics into large groups allowed us to focus our GTM efforts on just a few influential stakeholders who acutely feel the pain we’re solving for.\n\n**Our big** **ask**\n\n* Any introduction to a radiology network or health system chief executive (CEO, CIO, COO, CDO, CRO - even the new brand of CAIO - Chief AI Officer) would be hugely appreciated. We’re new to the US and eager to meet leaders tackling the patient access and scheduling challenges we’re solving.\n\nFinally, if you operate a radiology network - or know someone who does - we’d love to hear from you. Please reply here or reach us at [hello@avocasystems.com](mailto:hello@avocasystems.com).\n\n![uploaded image](/media/?type=post&id=107202&key=user_uploads/2570497/a75203b9-8ce9-44cc-a0dd-b456dafd0525)\n\n",
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        "full_name": "Amie Leighton",
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        "title": "Growth / Marketing Lead",
        "url": "https://www.ycombinator.com/companies/allia-health/jobs/UDZwxH6-growth-marketing-lead",
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        "id": 111428,
        "title": "Allia: The first full-stack, AI-native mental health group",
        "tagline": "8000+ independent mental health clinicians in America already run their practice on Allia. We turn that network into one national clinical group that delivers coordinated, measurable care and contracts with the country's largest payers.",
        "body": "**TL;DR:** Allia is the first full-stack, AI-native mental health group. We have **$50M+ in annualized national insurance contracts** and will begin delivering care in September 2026.\n\nWe bring independent practices into one national clinical group that can deliver, measure, and improve care at scale: **600+ clinicians across 70 locations in 32 states, plus telehealth nationwide.**\n\nEvery clinician runs on a single intelligent system of record powered by collective intelligence at a scale, no independent practice could achieve alone.\n\n<https://youtu.be/PIefc1pitT0>\n\n### **How we got here**\n\nWe have the fastest-growing distribution base in behavioral health: 8000+ independent mental health clinicians in America already run their practice on Allia. That's 1,000+ practices every day, caring for 300,000+ patients. It's our wedge: clinicians adopt the OS to run their practice, and we convert those practices into our clinical group.\n\n### **What Allia does**\n\nAllia is a clinical group that gives independent mental health practices the coordination, infrastructure, and payer contracts of a connected health system,  while letting them stay independent. \n\n1. **One coordinated group.** Because every practice operates as part of Allia, care no longer stops at the walls of a single office. Patients move through therapy, psychiatry, primary care, specialty, and higher levels of care as one coordinated journey across a single entity.\n2. **Care that stays connected.** Allia matches each patient to the right clinician and coordinates what comes next across the full continuum of care. Referrals are tracked through completion, so patients are never left to navigate the system alone.\n3. **Operations that run in the background.** Eligibility, intake, scheduling, documentation, coding, billing, follow-ups, and payer reporting happen automatically as care is delivered. Far less gets chased by hand, so clinicians spend their time on patients, not paperwork.\n4. **Outcomes that become visible.** Measurement-informed care, powered by our proprietary agentic technology, is built into every patient's journey, identifying who is improving, who is disengaging, and who needs a change in treatment. The group turns that evidence into better care across the continuum, and into the outcome data that earns better payer contracts.\n\n### **Traction**\n\n* $50M+ in annualized care capacity under signed national contracts with America's largest health insurance companies\n* 8,000+ clinicians across 1,000+ practices use Allia every day (our distribution wedge); 600+ are already activated into the clinical group.\n* 300,000+ patients supported across the network\n\n### **Team**\n\n* **Amie Leighton (CEO):** dropped out of Oxford and declined a place at medical school to build Allia.\n* **Saroosh Khan (CTO):** 94.2% on ARC-AGI-2 (next best: 74%, Google DeepMind); first to cross the 85% \"human-like reasoning\" threshold. Built Allia's deep-reasoning population-health agent, the first inside a system of record for medicine.\n* **Clinical team:** former CMO of the nation's largest behavioral health company **(IPO >$8B)**, former CMO of the country's **3rd-largest health plan,** and leaders who scaled the biggest names in behavioral health.\n\n### **What we're looking for**\n\nIntros to health systems and mental health practices who want to join with the group. Reach out: [team@allia.health](mailto:team@allia.health)",
        "url": "https://www.ycombinator.com/launches/SzE-allia-the-first-full-stack-ai-native-mental-health-group",
        "votes": 162,
        "created_at": "2026-08-20T12:30:04.031Z"
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    "id": 34862,
    "name": "Saccade",
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    "website": "https://saccade.health",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Alzheimer's testing today is bottlenecked around the onset of symptoms, when the damage is already done. Current treatments, including the FDA-approved drugs released in 2024, don't reverse the disease; they only slow it down. Earlier detection means earlier intervention.\r\n\r\nEye movement changes linked to Alzheimer's surface sooner than any other biomarker, up to 15 years before symptoms appear.\r\n\r\nWe deliver a 15-minute VR assessment delivered to patients in longevity clinics:\r\n• Tasks: patients perform visual tasks designed by neurologists to trigger a distinct oculomotor response in people with Alzheimer's or on its path\r\n• Hardware: our patent-pending attachment connects to any VR headset on the market and captures these eye movement patterns.\r\n• Analysis: the patterns are compared against our ML model to produce a risk analysis.\r\n\r\nOnce classified, patients can access new interventions, such as the FDA-approved drugs. They're also referred to longevity practices, neurology practices or both, depending on their stage of decline.\r\n\r\nTesting for the earliest biomarkers allows the earliest possible intervention. In some cases, that slows the disease enough that patients outlive the onset of symptoms and never face memory loss in their lifetime.",
    "one_liner": "World's Earliest Test for Alzheimer's Biomarkers",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Consumer Health and Wellness",
    "launched_at": 1791296673,
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    "url": "https://www.ycombinator.com/companies/saccade",
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    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/saccadehealth",
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    "primary_partner": {
      "name": "Grey Baker",
      "url": "https://www.ycombinator.com/people/grey-baker"
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      {
        "user_id": 2316918,
        "full_name": "Shreyas Bhardwaj",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Saccade. Prev built medical devices for hospitals; soft robotics researcher",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/bhardwajshreyas/",
        "x_url": "https://x.com/shreyasbhardwj",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/60555f50c4d0f03a61fcc2d5ac9eb26a042d362a.jpg"
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      {
        "id": 121747,
        "title": "Saccade: World's Earliest Test for Alzheimer's Biomarkers",
        "tagline": "World's Earliest Test for Alzheimer's Biomarkers",
        "body": "**TL;DR:** Saccade is a 15-minute VR test that catches Alzheimer’s biomarkers earlier than ever before. That lets people start lifestyle changes and new FDA-approved drugs years sooner, when they work best. Sometimes that pushes symptoms past life expectancy, so they never show up. \\\nWe’re live in San Francisco clinics, testing people in their 30s and older for early risk indicators. \\\nYou can book a test at [saccade.health](http://saccade.health) today.\\\n\\\n<https://youtu.be/2H0dh5Hnd_Q>\n\n**Problem**\\\nCurrent Alzheimer's testing only screens patients after clear symptoms appear, at which point an individual has already suffered significant cognitive decline. New FDA-approved drugs have been proven to slow this decline, but not reverse it. By the time most people get their diagnosis, they've missed their best window to act.\n\n**Insight**\\\nEye movement changes linked to Alzheimer's can be detected up to 15 years before symptoms appear - earlier than any other markers we can screen for. Our product is designed to service those exact changes, giving patients the insight they need to act now.\n\n![uploaded image](/media/?type=post&id=121747&key=user_uploads/2316918/a60db064-10c6-4ca0-bd9c-29389ea2ef4f)\n\n**Product**\n\n* **Tasks:** users complete visual tasks designed by neurologists that trigger distinct oculomotor responses in people with early-stage, pre-symptomatic Alzheimer's\n* **Hardware:** our patent-pending attachment connects to any VR headset on the market and captures high-precision recordings of eye movement patterns.\n* **Analysis:** the patterns are analyzed by our proprietary ML model to produce a risk score.\n\n**Next Steps for Patients**\\\nOnce classified into one of three risk categories, patients can start interventions ranging from preventative longevity practices, further neurological evaluations, and new FDA-approved drugs. Starting treatment early can significantly slow the progression of the disease, allowing some patients to outlive the onset of symptoms and never suffer from memory loss in their lifetime.\n\n**Get tested today: Sign up at [saccade.health](http://saccade.health) and schedule a screening today.**\n\n**Asks**\\\nIntros to US longevity practices and clinics that want to offer early Alzheimer’s testing to their patients. The test takes 10 minutes. I’m happy to meet in person: [shreyas@saccade.health](mailto:shreyas@saccade.health)\n\n![uploaded image](/media/?type=post&id=121747&key=user_uploads/2316918/51c6bcc9-d56f-4332-be61-510f5525d259)\n\n",
        "url": "https://www.ycombinator.com/launches/Vff-saccade-world-s-earliest-test-for-alzheimer-s-biomarkers",
        "votes": 6,
        "created_at": "2026-10-13T18:00:00.187Z"
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    "id": 35125,
    "name": "Altair Health",
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    "website": "https://www.altair-health.com",
    "all_locations": "Austin, TX, USA",
    "long_description": "Altair is an AI-native medical billing service for independent practices. We take over a practice's billing end to end and get doctors paid by insurers. AI does the work; our billers handle the exceptions.\r\n\r\nThat can only work if a practice can trust an agent alone with its revenue. So we formalized insurers' billing policies and put a theorem prover under the agent. Before the agent acts on a claim, the prover checks the action against that insurer's policies, and anything that fails goes to one of our billers. \r\n\r\nEvery claim teaches Altair how each insurer behaves, so the longer we run a practice's billing, the better we predict what its insurers will pay, deny or delay.\r\n\r\nWe're building the default way a new practice gets paid: a doctor connects their EHR and bills clean, completely self-serve and on auto-pilot.\r\n\r\nAltair will be the financial platform every independent practice in America starts on and stays on. And to the Health Insurers' \"Delay, Deny, Defend\", we say \"Predict, Prevent, Prevail\".",
    "one_liner": "Stripe for medical billing",
    "team_size": 4,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare Services",
    "launched_at": 1792016571,
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    "year_founded": 2025,
    "city": "Austin",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/s7-lab",
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      "name": "Grey Baker",
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      {
        "user_id": 2750568,
        "full_name": "Aouss Sbai",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Altair Health (YC F26). Previously Regional Sales Manager at Grafana Labs, hitting 362% of quota and $1.7M ARR. Before that, #1 Junior Sales Engineer worldwide at AppDynamics after closing Coca Cola, HSBC, and Barclays in first 2 years. MEng Computer Science from University College London.",
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      {
        "user_id": 3133483,
        "full_name": "Jad Sbai",
        "title": "Founder/CTO",
        "founder_bio": "Founder at Altair Health (YC F26). PhD in Machine Learning at the University of Cambridge. Previously founding ML research engineer at Helical AI (10M Seed). Show jumper and rallying aficionado.",
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    "id": 35127,
    "name": "Rhem Labs",
    "slug": "rhem-labs",
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    "website": "https://rhem.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Rhem Labs builds smart home care devices that help older adults and people with complex care needs live independently. ",
    "one_liner": "Home care technology for aging parents and their families",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Consumer Health and Wellness",
    "launched_at": 1790296181,
    "tags": [
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/rhem-labs",
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/rhem-labs/",
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        "user_id": 1690205,
        "full_name": "Jacob Shen",
        "title": "Founder/CTO",
        "founder_bio": "Founder and CEO of Rhem Labs. Previously Founding Engineer at Mattoboard. Researcher at Berkeley AI Research Lab, designing scalable autonomous driving systems. CS & DS @ UC Berkeley.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jacobshenn",
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        "id": 104064,
        "title": "Founding Creative Generalist",
        "url": "https://www.ycombinator.com/companies/rhem-labs/jobs/TCR7cgZ-founding-creative-generalist",
        "location": "San Mateo, CA, US",
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        "equity_range": "0.50% - 1.50%",
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      {
        "id": 117929,
        "title": "Rhem Labs: Health assistant robots for your parents",
        "tagline": "Rhem handles everything that doesn’t need a pair of hands, while keeping you in the loop.",
        "body": "## TLDR:\n\n**Aging at home has a visibility problem. Small changes in health and routine can go unnoticed for weeks or months, until the first obvious sign is something serious. Rhem is a tabletop robot that helps families see those changes earlier, while giving parents the everyday support they need to stay independent longer. Rhem was designed with older adults in mind, but it’s for anyone who wants help getting things done and staying on top of their health.**\n\nPreorders are open now at <https://rhem.ai>\n\n<https://youtu.be/LnNPjpNq_uE>\n\n## \n\n## The Problem\n\n**At some point, you start paying attention to your parents differently.**\n\nMaybe there was a scare. Maybe Mom missed an appointment. Maybe Dad sounds more tired. Or maybe nothing happened at all. You just start wondering whether everything is as fine as they say.\n\nIf you don’t live with them, you mostly get snapshots: a call, a text, a FaceTime.\n\n**You don’t see the full day.**\n\nYou don’t know if routines are slipping, something is getting harder, or a small change is becoming a pattern.\n\n**We learned this the hard way with my grandmother.**\n\nBefore her stroke, she was sleeping badly, talking less, and seemed unlike herself.\n\nThe signs were there. But my dad had a newborn and a full-time job. My grandfather was working too. Everyone cared, but no one saw the whole picture.\n\n**We each saw pieces. No one put them together until something much bigger happened.**\n\n## **How it works for your parents**\n\nRhem lives in the home and becomes the easiest way for your parent to get things done and keep track of their health.\n\nThey just need to say:\n\n“Remind me after dinner.”\n\n“When is my appointment?”\n\n“Order our usual groceries.”\n\n“Tell Jacob I need a ride tomorrow.”\n\nRhem can browse websites, make calls, manage reminders, answer questions, place supported orders, and follow up.\n\n**If it doesn’t require a pair of hands, Rhem can probably handle it.**\n\nThey can also take supported wellness readings on Rhem, keep track of routines, and see how things change over time.\n\nWhen something needs you, **Rhem brings you into the loop through the rhem connect app.** You can answer a question, add context, or help finish the task. **Help Rhem once, and it remembers how to do it next time.**\n\n![uploaded image](/media/?type=post&id=117929&key=user_uploads/1690205/9adf4655-4900-4fe0-bdec-29e333c8a3dd)\n\n## **How it works for families**\n\nYour parent gets an assistant. **You get a clearer picture of how they’re doing.**\n\nThe Rhem app brings together health readings, routines, requests, completed tasks, and alerts. You can see what changed, what Rhem handled, and when you’re needed.\n\nFrom anywhere, you can send reminders, leave voice messages, ask Rhem to check in, talk to your parent, or ask about information they’ve shared.\n\nOver time, Rhem helps you spot patterns. **One bad night may mean nothing. A month of worse sleep, missed appointments, and changes in routine is something you want to know about.**\n\n![uploaded image](/media/?type=post&id=117929&key=user_uploads/1690205/c7652236-3ca9-40a0-9ea8-d1e2160852fc)\n\n## **Why we built Rhem**\n\n**We’re a father-and-son team, and our family spent nearly two decades caring for loved ones at home.**\n\nBefore my grandmother had a stroke, there were signs that something was changing. She was sleeping badly, talking less, and seemed unlike herself. We all noticed pieces of it, but nobody had the full picture until much later.\n\nMy aunt had a different problem. A brain tumor left her with limited mobility, so a lot of everyday things depended on someone else being available. Making a call. Looking something up. Ordering something. Figuring out what needed to happen next.\n\nA lot of the time, she didn’t need someone physically next to her. She needed someone who could help her get things done.\n\nThat’s where Rhem came from.\n\n**We wanted something that could notice when things were changing, help with the everyday stuff, and bring family in when they were actually needed.**\n\nThe goal is simple: give our parents more independence, while letting us spend more time being their family instead of managing everything around them.\n\n## **Team**\n\nJacob: Berkeley CS &amp; DS, researcher at Berkeley AI Robotics Lab with a focus on full stack autonomous driving and edge computing, founding engineer at Mattoboard.\n\nHuey: Executive leader with 30+ years of experience building smart hardware with embedded software at scale and leading global operations across North America, Europe, and Asia. \n\n![uploaded image](/media/?type=post&id=117929&key=user_uploads/1690205/2ae2c872-97c6-4ff3-9c05-dde53439c9b4)\n\n## Why order now\n\nIf you’re ordering a Founding Edition, thank you.\n\nWe know we’re asking you to trust a new company and buy something for someone you care deeply about. We don’t take that lightly.\n\n**Every Founding Edition includes:**\n\n* **Founding Price of $1099 before our price increase to $1499 on Jan 20th**\n* **1 x Halo Non-wearable Fall Detector ($80 Value)**\n* **2 years of Rhem Plus included ($480 Value)**\n* **2 x Merch Pack &amp; Goodies**\n* **Direct access to our team** for setup, questions, and feedback\n\n**Thank you for being here at the beginning. We can’t wait for Rhem to start making your parents’ lives a little easier.**\n\nPreorder now at: <https://rhem.ai>\n\n**_Here's to more good years with the people who raised us. 💙_**\n\n**— Jacob &amp; Huey**",
        "url": "https://www.ycombinator.com/launches/Ug5-rhem-labs-health-assistant-robots-for-your-parents",
        "votes": 7,
        "created_at": "2026-10-06T16:00:00.079Z"
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    ]
  },
  {
    "id": 35883,
    "name": "Halmos Labs",
    "slug": "halmos-labs",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/093fdc6d2122e7140cab391f450941fd3922b145.png",
    "website": "https://halmoslabs.com/",
    "all_locations": "Lund, Skåne County, Sweden",
    "long_description": "Halmos Labs builds automated biotech R&D on the principles of validity and interpretabillity. We run research, and simulations answering open questions ranging from wetlab experiment design to full cancer vaccine manufacturing.",
    "one_liner": "Maximum information per experiment, minimum experiments per conclusion",
    "team_size": 3,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Industrial Bio",
    "launched_at": 1788773241,
    "tags": [
      "AI-powered Drug Discovery",
      "Swarm AI",
      "Biotech"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2026",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Industrial Bio"
    ],
    "regions": [
      "Sweden",
      "Europe"
    ],
    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/halmos-labs",
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      {
        "id": 123366,
        "title": "Kairos Health: AI Front Desk for Dental Practices",
        "tagline": "Kairos Health automates patient engagement for dentists by handling phones and insurance.",
        "body": "**TL;DR:** Kairos plugs into a dental practice's software, calls patients who are overdue for care, and books them directly into the schedule. It also answers every inbound call 24/7 and verifies insurance.\n\n**The problem** Every dental practice has hundreds of thousands of dollars in revenue sitting idle in their patient management system. It comes from overdue cleanings, unscheduled treatment plans and insurance benefits that are about to expire. The front desk knows these patients are there, but they’re juggling check-ins, phones, and insurance all day, so these calls never get made. Automated texts are easy to ignore, and patients who call in often end up at voicemail.\n\n**What we do**\n\n* Find the patients who should be coming back by analyzing the practice’s data\n* Send personalized calls and texts using AI to book them into the schedule\n* Answer every inbound call 24/7, so no new patient goes to voicemail\n* Verify insurance benefits within seconds\n\n[Video here](https://youtu.be/pxs4TejXZ1Q) \n\n**Customer Results** \n\nWe are live in 16 locations across the US, including one of the biggest independent groups in Manhattan. For these practices each month on average, Kairos:\n\n* Increases monthly production by 20,000\n* Answers 179 missed calls\n* Books 46 appointments for hygiene and treatment\n\n**The team**\n\n* **Adhira Tippur** grew up helping out at her mother's dental practices, which inspired the idea for Kairos Health. She previously worked at ClearView Healthcare Partners, a life sciences consulting firm, and The Collectiv, a venture capital firm.\n* **Sanjana Kavula** studied computational neuroscience at Rice University. She previously worked at Blueprint Medicines at Sanofi and developed AI models at the Icahn School of Medicine.\n* **Aditya Jain** studied computer science at Georgia Tech. He previously worked at the New York Stock Exchange, building large-scale data pipelines for financial trading.\n* **Tanush Chintala** studied computer science at Georgia Tech as a Stamps President’s Scholar. He built developer infrastructure at AWS GuardDuty and developed AI-powered call routing systems at Nimbus Health.\n\n**Our ask**\n\n* If you run a dental practice or DSO, book a demo at [kairoshealthai.com](http://kairoshealthai.com). Practices that sign up this month get half off, for life.\n* If you know a dentist, office manager or DSO leader, we'd love an intro. Reach us at [founders@kairoshealthai.com](mailto:founders@kairoshealthai.com).",
        "url": "https://www.ycombinator.com/launches/W5m-kairos-health-ai-front-desk-for-dental-practices",
        "votes": 3,
        "created_at": "2026-10-19T21:30:02.808Z"
      }
    ]
  }
]
