Seak Meng Lay

Solve for information asymmetries! Architecture & Civil Engineering - Layout interpretation ~other industries: Healthcare - <Prescription> interpretation Financial Products - <Subject to market risks documentation> interpretation Loans - <Fine print> interpretation There’s going to be a slew of startups commercialising this year with a value prop of simplification using AI

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First test email from Zeeq.ai came through overnight. Zeeq (rhymes with "seek") is a personalized AI agent that watches ClinicalTrials.gov for updates of #clinicaltrials for trials of interest and generates answers to your questions delivered straight to your inbox whenever a trial gets added or updated. Had a few hiccups with reading the change feed from the FDA, but looks like it's almost there and getting closer to full rollout (a few more days of observing, I think!). Whether you are a #patient, #pharma exec, #biotech industry analyst, or academic researcher, Zeeq can help you stay on top of the most relevant trials of interest with personalized questions and answers. Free to sign up at https://zeeq.ai - no usernames or passwords, no accounts.

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My cofounder Saumil goes on the Stack Overflow Podcast to deep dive on AI Agents! He goes into detail how we leverage AI agents to power automated workflows to accomplish the most complex tasks. Including agents firing off tasks to other agents to tackle the details. Need an agent to verify your work? No problem. Give it a listen and let us know what you think!

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There's one thing that truly differentiates great healthtech companies from the ones who fizzle out. Distribution. There's so much red tape in this industry - if you have incredible distribution, it's so much easier to build and iterate on your product. Working with customers isn't hidden behind a 5-year bureaucratic process anymore. Without great distribution, everything becomes 10x harder and takes 10x longer.

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I spoke with Eric Ignasik and Michael Sols from The Software House about dealing with silos at work. 🎙️ We discussed how Technology Managers can help their engineers gain deep operational expertise and take full responsibility for product/feature delivery. The best practices I described in this interview come straight from Payhawk. It doesn’t mean they can simply be copied — but they might be inspiring to some. Happy reading 👋🏼 ➡️ hubs.ly/Q02xn9j-0 #softwaredevelopment #cto #softwaredelivery

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Excited to announce Radix's new dashboard! Now you can track and analyze your trial funnel in real-time: - Total Trials - Expired Trials (customers who didn’t convert) - Active Trials (customers currently in the trial period) - Converted Trials (the key metric indicating successful conversions) Our dashboard also helps you optimize crucial metrics like conversion rates and average days to convert. With our proprietary tool, you can easily identify and address subscriptions at risk of not converting. Transform your trial management process and boost your subscription success with Radix! Connect your PayPal merchants. #paypal #subscriptionstrial #conversionrate

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The Open Medical LLM Leaderboard on Hugging Face dropped last Friday (thanks Geoff Kwitko for the heads up), and it aims to track, rank and evaluate the performance of large language models (LLMs) on medical question answering tasks (see link below). It evaluates LLMs across a diverse array of medical datasets, including MedQA (USMLE), PubMedQA, MedMCQA, and subsets of MMLU related to medicine and biology. The leaderboard offers a comprehensive assessment of each model's medical knowledge and question answering capabilities. The datasets cover various aspects of medicine such as general medical knowledge, clinical knowledge, anatomy, genetics, and more. They contain multiple-choice and open-ended questions that require medical reasoning and understanding. More details on the datasets can be found in the "LLM Benchmarks Details" section in the link. Ps. Good to know that the GPT-4 model is leading the way (it is what I use on the Medical Coding and Documentation agent). Digital Human Assistants #llmhealthcare

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💡64% of outcomes come from just 4% of causes This insight comes from recursively applying the Pareto Principle (or the 80/20 rule) which states that roughly 80% of outcomes come from 20% of causes. This can be seen in many different areas and disciplines - 20% of patients incur 80% of healthcare expenses - 80% of a company’s profits come from 20% of customers At Cruise, we employed this principle through continuous application of Pareto analysis, helping us work effectively towards improving the safety of the car. The idea is to rank occurrences of problems by frequency, and focus on the highest ranking issues first. By addressing just 20% of the top causes, you can expect roughly 80% of problems to be addressed. Additionally, by continuously applying this principle in a cycle, addressing the most impactful causes each time, you can achieve a form of exponential improvement, as each cycle’s improvements build upon those of the previous one. So when you’re overwhelmed by tasks and demands, just remember that if you focus on just 4% of them, you can achieve 64% of the results! With a little prioritisation and focus, you can significantly improve your output 📈

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Excited about the evolution of Product Management? Join us on 5/22 at 4pm PT for a deep dive into this dynamic shift with Carelon Chief Product Officer Gautam M Shah. In this engaging Products That Count webinar, we'll explore how Product Managers are transcending their traditional roles as mere builders to become strategic partners driving business success. Learn firsthand how PMs are leveraging their expertise to navigate the complexities of today's product-led industries, shaping strategies, and enabling growth. Don't miss the opportunity to participate in a live Q&A session with an industry expert. Secure your spot now for an insightful discussion: https://rb.gy/wdvep7 #ProductManagement #Webinar #BusinessStrategy

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SCALE. Technology driven scale wins. Sales, PR or Investor driven “scale” often proves to be an unsustainable period of growth. Boom has built the infrastructure to win.

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Day #4 of observations from attending Home Care 100 this month: There is a cambrian explosion of "AI scribe for OASIS docs in <15 min" startups currently underway in Home Health. A new one of these is launching every few months. I'm certain we'll see 2x AI scribe vendors at the next HC100 in January. And so, I listened for the overall positioning of these products by the vendor and buyer at Home Care 100. It sounded like this: HH CEO: “I need a solution to lower the caregiver burden of clinical documentation” HH Vendor: “I offer AI to reduce the burden of clinical documentation” This may sound like a "checkmate" match between what the CEO is saying, and what the vendor is offering. But it isn't. The CEO actually has a business model problem. They cannot afford to sufficiently pay for the time it takes for caregivers to complete clinical documentation. And so, they are stuck looking for solutions that minimize the cost of personal time on documentation that caregivers have to absorb. Solutions that offer AI and the promise of driving down this cost down for the caregiver are the start, but not the endgame. If I were not building Arya, and wanted to build a standout documentation product, I would build an "AI-powered clinical documentation agency", not an AI scribe. Here's what this AI-powered documentation agency would sound like: 1. We eliminate 90% of all clinical documentation at your company. We do it at 1/10th the cost of a traditional outsourced documentation shop 2. We do this by a human-in-the-loop AI solution, that allows our human documenters to work 10x faster than DIY 3. Under the hood, we integrate with *all* the best AI out there (incl. ChatGPT) in a SOC2+ HIPAA guaranteed environment. We decide the best AI+human workflow to use for each documentation on the fly. Regardless, you always pay a flat rate, and we absorb the risk or AI vs human effort 4. Your caregivers approve each human-in-the-loop documentation. We don't publish anything to the EHR till it's approved 5. We guarantee a <1% error/ change rate on our documentation from caregivers, or we offer some money back I did some back of the napkin math to see what the economics of an such an agency might look like. With the current math, the caregiver is still absorbing upwards of $10 worth of time per OASIS documentation. If an AI-powered agency drove this cost down to the single digits per doc, might HH agencies be able to work this into their financial model and take this off the caregiver's plate entirely? Here's hoping for a "we've got you covered on the documentation " caregiver benefit coming in the future. #homecare #homecareagencies #HC100 #homecare100 #homehealth

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⌛ The deadline for YC’s S24 batch is April 22! I get a ton of requests for application feedback, so I’ve consolidated my advice here: 𝐓𝐞𝐚𝐦 > 𝐢𝐝𝐞𝐚 + 𝐩𝐫𝐨𝐠𝐫𝐞𝐬𝐬 Your idea will change; that’s what it means to be pre-product-market fit. A bet on an early-stage company is a bet on the team to iterate rapidly and figure it out; think of your idea and your progress as useful evidence. Don’t be discouraged if you feel like you haven’t made enough progress, because the amount of progress you’ve made is not nearly as important as how fast you made it. In other words: “slope, not intercept”. 𝐁𝐞 𝐬𝐢𝐦𝐩𝐥𝐞. 𝐁𝐞 𝐝𝐢𝐫𝐞𝐜𝐭. Explain your idea clearly in 1-2 sentences: who are your users and what problem do you solve? Avoid jargon, marketing-speak, technical intricacies, or an exhaustive list of features. Tacking on “...with AI” or “...with blockchain” is not any more helpful than “...with computers”. Bad: “We are transforming the global software development industry with a revolutionary AI platform that streamlines the SDLC for tremendous efficiency gains using cutting-edge LLMs.” Better: “We’re a developer tool that automatically reviews code and fixes bugs.” 𝐊𝐧𝐨𝐰 𝐲𝐨𝐮𝐫 𝐮𝐬𝐞𝐫𝐬 You should feel like an expert on your users, and have some unique/contrarian insights about them. You’ve hopefully identified a “hair-on-fire” pain they have, and you’re building a product to fix their problem. It’s hard to spend too much time talking to your users. Interviewing 50-100 people seems like a good place to start. If you’ve talked to less than, say, 10-20, it might be hard to know you’re solving a real problem. 𝐊𝐧𝐨𝐰 𝐡𝐨𝐰 𝐲𝐨𝐮’𝐫𝐞 𝐠𝐨𝐢𝐧𝐠 𝐭𝐨 𝐦𝐚𝐤𝐞 𝐦𝐨𝐧𝐞𝐲 What’s your path to $1B in revenue? Keep it simple. You don’t need a 5-tier pricing strategy and a multi-year product roadmap, you need to know roughly how many potential customers you have and how much they’re likely to pay (bottom-up analysis), and how big the overall market is (top-down). Reasonable estimates are OK. Remember, the VC model is based on a power law of startup returns, where one huge exit makes up for all other investments going to zero. This makes a tiny chance at becoming a $10B company quite valuable, and a high chance at becoming a $50M company surprisingly useless. 𝐒𝐡𝐨𝐮𝐥𝐝 𝐲𝐨𝐮 𝐚𝐩𝐩𝐥𝐲? Emphatic yes! YC was an awesome experience for us and every YC alumnus I’ve asked so far - it changed the trajectory of our startup. Even if you don’t get in, we found the application process itself was valuable and forced us to think deeply. If you’d like some eyes on your application, send me a message - I’m happy to help!

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Join us to learn about how to use Generative AI to perform health checks for your kubernetes clusters and get ahead of the problems instead of firefighting incidents!

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Sending a team of 5 people to a conference like HLTH in Las Vegas could cost $25K. 5 people at $2500 per ticket = $12,500 5 people's round trip plane tickets = $2,500 5 hotel rooms X 3 nights at the Venetian = $6,000 Ubers, food, miscellaneous = an extra $700-$1,000 per person? Maybe $24,000-$26,000. If you're getting a booth or sponsoring a happy hour, you're likely closer to $35K-$50K. Here's a story of conference ROI. It was 2019, I was just an SDR at my first healthcare conference attending with a great friend of mine. It was our company's first time at the conference. Just the two of us and a booth that was maybe 5 feet wide. Maybe we had one customer at the conference... Was anyone in our pipeline later that month? Nope. Was anyone in our pipeline for 3 months after that conference? Nope. BUT, later that year, I got an email from the CTO of an EHR I met who wanted to embed us as their preferred virtual visit platform....6 months before COVID started. A FULL year after that conference, a community mental health center brought in a consulting firm to evaluate virtual care platforms and the CMHC asked to include us in the evalution. Where'd they hear about us? A conversation I had with the Chief Administrative Officer...and a once a month email I sent him for the following year. A year later I was the AE leading the deal and they signed a 3 year deal worth six figures per year. Having a booth once doesn't make a difference. Sending a follow up email campaign through your marketing department doesn't make a difference. Measuring conferences based on your pipeline a month out doesn't cut it. Two of us turned a conference that cost less than $15K into more than $500K in total contract value. And don't even get me started about the value of actually being face to face with customers in a remote world... If you're debating HLTH and want to talk conference strategy, let's talk. DMs open. #HLTH #Conferences #DigitalHealth

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Over the past year, thousands of workers have migrated to Thera from other platforms. You might be curious why. Among other things, the two biggest reasons are speed and FX rates. We built Thera on the premise that global payments should be fast, transparent, and affordable. On the pay-in side, we use machine learning models to assess ACH return risk and deposit funds faster. On the pay-out side, we integrate with three different FX providers to get our users the best rates on the market.

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Great article in RamaOnHealthcare about our platform!

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🚀 Why fit in when you can stand out? Our newly launched release is pretty special. Now Physical Therapists can experience the power of ezPT AI in THREE different modes: ⏱️ Save time with 100% hands-free documentation: Seek consent and convert your patient conversations into charts with our ambient Scribe. ⚡ Improve efficiency and never lose any detail: Do a quick brain dump with our Dictation mode in between patient sessions. ✍️ Always be in the driver’s seat: Prefer typing? Jot down your shorthand notes and let our Ghostwriter draft a comprehensive SOAP note for you. Choose any mode. You'll always get a contextual, compliant, and comprehensive note in your writing style. Our name is our game! 💪 What else can we do to make your lives easy, PTs? Get immediate access at https://lnkd.in/gBUbGt6Z and share your experience in the comments. No sign-ups or credit cards needed. #ezPT #GameChanger #physicaltherapylife #physicaltherapists #doctorofphysicaltherapy #physiotherapist #EfficiencySolutions #BurnoutPrevention #DigitalHealth #WorkSmarterNotHarder #ProductivityTools #patientnotes

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Solving stripe issue: Recently I am building a car rental ai system with custom payments through vercel's new ai stream system. Here were some of the bug I ran into along the way. 1. By default the stream have no state, hence any state cannot be applied and gets caught for 1 of my deployments. I have to went through great lengths to bypass the type check of the UI state. 2. Stripe uses the current github by default so I have to redeploy with a standard version of stripe 3. I listed both packages with @Stripe due to my linter, but stripe installs with @stripe by default 4. Prisma cached some of my builds during db runtime (not sure how), which was solved with doing a post and pre install of generation and seeding scripts 5. Cors are somehow misconfigured and almost corrupt my neon database. I can redeploy with a fix really quickly. 6. Since I shifted my cache from prisma, I forgot to remove a debug script causing authentication errors, leading to a reset in my kv database. Been a little stressful weekend

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In an increasingly crowded field of telemedicine startups, building a platform that not only attracts users, but also retains them is key. For this week’s episode of the Building One podcast, I recently sat down with Alexandria Stried, the Chief Product Officer of Cerebral, a telehealth business specializing in mental health - from therapy to medication management. One of my favorite takeaways from this episode is about how Alex and her team learned the importance of early activation -- the moment in which newly onboarded users realize the value of your product. In Cerebral’s case, they found that people who went to three therapy sessions in their first month were more likely to retain. Once they figured that out, they focused their growth team on getting their onboarding journey right. This is a lesson that really applies across many industries & products, but few product leaders actually know what it is for them. Alex goes into detail on all this and more in the full episode, including (1) the value of getting direct feedback from your users, especially ones who churned, and (2) why investing in a better product for Cerebral’s service providers was potentially even more important for customer satisfaction than anything else. Check out the full episode for all the great learnings. Click here to listen and follow: 🎧 Apple: https://lnkd.in/etbU8_76  🎧 Spotify: https://lnkd.in/eCrAQMCB

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