Reuben Abraham - Stealth | LinkedIn
Reuben Abraham
University of Pennsylvania
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CNAS is thrilled to welcome Chris Painter to its Technology and National Security Program as an adjunct senior fellow. Painter is the president of…
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The 2026 FirstMark Guilds Summit is almost here 🗽 On June 16, we're bringing together hundreds of C-suite executives from the world's top…
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After 2.5 years, I'm moving on from WellSaid. I joined as an Analytics Engineer and leave as a Director of GTM Data Engineering. In between, I…
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Experience & Education
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Stealth
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GPA 3.99/4.00
2013 - 2017
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** * *
2013 - 2017
Volunteer Experience
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Summer Volunteer
Dubai Special Family Services
Jul 2011 - Aug 2011 2 months
Children
Honors & Awards
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Dean's List (4x)
School of Engineering and Applied Sciences at the University of Pennsylvania
May 2017
Named to the Engineering Dean's List each year I attended university.
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Class of 1975 Management Award
The Wharton School at the University of Pennsylvania
Mar 2017
Awarded to the graduating student with the highest GPA in the Management Concentration.
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Loveman Award
Penn Wharton Entrepreneurship
Mar 2017
Awarded to the student with highest GPA graduating with a Specialization in Entrepreneurship and Innovation
Languages
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French
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Malayalam
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More activity by Reuben
The product ship rate at Pave is running red hot and I love it. ❤️🔥 Peer Groups in Market Data. Auto-Smoothing in Market Pricing. Smart Flags and…
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New chapter unlocked. 🔓 After nearly 10 years in healthcare tech, I've learned one thing about myself: I need to believe in what I'm building. So…
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🎉 We just crossed 150k texts exchanged with BodyBuddy 🍅! Every single one of those conversations is designed to nudge people toward the 1-3…
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I think I speak for a lot of my colleagues when I say that what we launched today is the single most important piece of software we've ever worked…
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I see two kinds of AI products out there today. One where you're figuring out how to make AI feel useful inside an existing product. And the other…
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The Mason team just wrapped up our first NARPM Broker/Owner buzzing with enthusiasm. This event felt like a three-day reflection on just how far we…
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Feels unreal to share this. The 4th Quarter has officially partnered with Yahoo to launch the Yahoo Sports Business Hub. I’m very honored to be…
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Just wrapped up my first week living in Tokyo for Daiichi Sankyo Japan. I’ll be splitting my time between here and China as we strengthen our…
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profitable apathy if you thought saas-pocalypse was bad wait until computer use comes for consumer financial services and vampire squids the whole…
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A couple weeks ago I was finally able to get my entire team together in person at our Cambridge office. It sparked some reflection: I always told…
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Jeffrey Evans MANTIS Venture Capital • 3K followers Anthropic recently shipped agent teams in Claude Code. What this means for founders: Your engineering team just got a lot smaller. Or a lot more productive. Same headcount, 3x output. Your choice. The startups that figure out how to manage agents, not just use them, will win the next decade. 3 1 Comment
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Keilian Knudsen Pangea.ai • 17K followers The U.S. just dropped a bombshell: A $100,000 fee for every new H-1B visa petition. For years, startups and scaleups have relied on H-1B to access world-class engineering talent. Now? The math doesn’t work. $100K for a single hire… or invest in the best talent wherever they may be and make them full-time employees. This is where Build Operate Transfer (BOT) comes in. - Your own full-time engineers in weeks, not months - Talent pools across 20+ countries - Operations, retention, and compliance handled - Full ownership of the team once you’re ready At Pangea.ai, we’re helping companies around the world build their remote teams of full-time employees through the BOT model, scaling faster, smarter, and with less risk. The H-1B may have changed, but access to global talent doesn’t have to. ❤️ If you see BOT as the future of hiring ♻️ Share where you’d set up your team 39 4 Comments
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Praveen Kumar Panjiar NICHE Digital Media • 2K followers YC just handed founders a roadmap. Most will scroll past it. The founders who stood out weren't guessing. They were building where YC was already signaling conviction. And Y Combinator just told you exactly where that is. In their Summer 2026 Request for Startups, they identified 15 categories where they're actively looking to write checks: → AI for Low-Pesticide Agriculture → AI-Native Service Companies → AI Personalized Medicine → Company Brain → Counter-Swarm Defense → Dynamic Software Interfaces → Electronics in Space → Hardware Supply Chain → Industrial Capabilities in Space → Inference Chips for Agent Workflows → SaaS Challengers → Software for Agents → Startups That Want to Sell to Huge Companies → Supply Chain 2.0 for Semiconductors → The AI Operating System for Companies This isn't a trend report. This is a capital allocation signal. A signal of where smart capital thinks the world is going... before the rest of the market catches on. So here's how to use it: If you're at the idea stage → this list is your cheat sheet. If you're already building → check where your work intersects. If you're advising founders → share this. The best time to align with a thesis is before the next application opens. Are you building in any of these spaces? I'd love to hear what you're working on. 👇 ♻️ Repost this for founders building where YC believes the next AI-defining companies will emerge. 📩 Catch all the resources at Foundevo.com, your goldmine of startup and fundraising playbooks. Subscribe (FREE) → https://www.foundevo.com/ 👉 Follow CompareBizTech for hands-on AI tools, workflows, and founder-tested software. #FundabilityIntelligence #YCombinator #StartupIdeas #YC2026 #RequestForStartups 19 1 Comment
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Hendrix Liu Respan (formerly Keywords AI) • 16K followers Founders should pay themselves less than junior engineers until Series A. That’s the rule we follow at Keywords AI (YC W24). Andy, Raymond, and I only pay ourselves enough to cover rent, food, and basics. Meanwhile, our interns and early engineers earn more than we do. That’s by design. Why? Because they took a bet on us. They could’ve gone to big tech for stable pay. Instead, they chose to join a small team building something that might fail. If they’re taking that leap, they should be rewarded more than we are. I’ve seen the opposite. Founders take market salaries while early teammates grind for pennies. It kills morale, burns runway, and sends the wrong message: that the founders value comfort over survival. For us, every dollar saved extends our life as a startup. Every extra month is another chance to find product-market fit. This isn’t about glorifying struggle. It’s about fairness, alignment, and leadership. If you want to pay yourself more, first build something people love. Make the company grow, then share in the rewards. Until then, stay leaner than the people who bet on you. 78 7 Comments
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Dan Barry Ad Sales as a Service • 9K followers Plaid just bought a newsletter. Their product is API infrastructure, not content. This Week in Fintech has 200,000 readers. Mostly fintech founders, builders, and investors. That's Plaid's customer base. So they didn't buy a media company. They bought the room where their customers already show up every week. HubSpot bought The Hustle for $27M in 2021. Same logic: their customers were reading it. If you run a newsletter with a loyal readership inside a niche, this is what that relationship is worth to the right company. Not a CPM. An acquisition. The question a buyer asks: "What would we actually be buying?" Not the traffic. Not the brand. The relationship. 5 1 Comment
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Anish Acharya Andreessen Horowitz • 15K followers The big labs are expansive in their product ambition, especially since foundation models have largely improved in lockstep - in order to compete with them you have to do things they won’t which are: - building a very rich software ecosystem around a primitive - orchestration across multiple models - going insanely deep on product and growth for a narrow vertical domain 58 3 Comments
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Nishant Gaurav Authsome • 6K followers YC has quietly made the co-founder rule irrelevant. 22 solo founders got accepted into W26. That’s 11% of the batch. I went through every one of them. Here’s what YC is actually filtering for: 1. Proof of execution, not proof of potential Not what you shipped in a previous role. What you deployed before you applied. Skyler Chan, building the first commercial hotel on the Moon, had already presented a physical Moon brick to US Congress and was taking reservations at $250K–$1M per booking. Sam Rogers had working cattle-mustering drone prototypes deployed in real Australian field conditions before he applied. Leo Kankkunen had a functional prototype of tankless dive gear using an entirely new oxygen delivery system. These aren't side projects. These are real products with real proof. 2. A number that's moving (not just a number) Not "strong user feedback." Not "lots of interest." Not even $100K ARR. Static revenue in a crowded market tells you nothing. What moves the needle is one clear metric growing for 4+ consecutive weeks. Direction of travel is the signal. Every solo founder in W26 had it. 3. Founder-market asymmetry Sam Rogers ran a cattle station before he built cattle drones. Leo Kankkunen was a diver before he redesigned dive gear. The signal isn't intellectual. It's lived. The question VCs are really asking is: “Does this founder know something about this market that the other 10 founders in this space don’t?” The revenue number doesn't tell you this, the first 5 minutes of the founder talking about the problem does. 4. Market timing > Product completeness Moon hotel, cattle drones, tankless dive gear — all frontier markets where no category has been defined yet. That's not random. YC is writing seed checks for teams 18 months early to a clear market while passing on solid Series A companies in legible categories. The solo founders got in because they were framing new categories, not competing inside existing ones. 5. Ability to articulate the next 3 years. Majority come in and pitch their current product. The best come in and pitch the inevitable market shift and then explain why their current product is the right starting point for that shift. — A lot of founders think the hard part is getting an MVP working and generating some early revenue. It isn’t. The first thing investors do is open a tab and look at the landscape. If there are already 10 funded companies doing roughly the same thing, your traction matters less than you think. The real question is: Can this become a category-defining company? And when the space is already crowded, the math gets hard fast. The reason I'm sharing this isn't to explain how VCs think. It's because I made the exact mistake I used to watch founders make. At Ruzo, we built the product first and tried to go to market second. We never shaped the narrative around where the market was going. Now at Authsome, I think about this every week… 22 3 Comments
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Andrew Luo OneSchema • 3K followers We raised a $6.2M seed round six weeks into YC. Never even made it to Demo Day. Here's the unfair advantage we created before day one. Most founders treat YC like school: Show up on day one, learn, grow, graduate. We treated it like a race we needed to win before it started. The moment we got accepted, we went into overdrive. Two months before the batch began, while others were celebrating, we were building and selling. By day one, we had paying customers and early revenue—not millions, but enough to prove people would pay for our solution. Here's why this mattered: YC batch Summer 2021 was massive. There were hundreds of companies. We knew we'd be competing for attention. But we understood that being in YC doesn't make you special. Being the fastest-growing company in YC does. Our strategy was simple: Come in so strong that partners would want to help us win bigger. And it worked - General Catalyst took notice and preempted our round before Demo Day. We never even had to pitch on stage. Would this have happened if we'd shown up to YC with just an idea? Absolutely not. But its not just about gaming YC. It's about understanding that every opportunity rewards preparation over participation. Build before you begin. Sell before you're ready. Win before others realize there's a competition. 93 3 Comments
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Daniel Kempe Quuu • 3K followers Just read about three YC startups leveraging Claude Code to build entire companies and I'm honestly blown away. Remember when starting up meant you either needed a technical co-founder or deep pockets for developers? That world is disappearing fast. These YC founders are flipping the traditional playbook: - HumanLayer built their entire platform with Claude Code and pioneered something called "context engineering" (which apparently went viral in dev circles) - Ambral's CTO developed this wild workflow using different Claude models - Opus for thinking/planning, Sonnet for building, with specialized sub-agents handling different tasks - The Vulcan Technologies story really hit me - two NON-TECHNICAL founders built regulatory analysis tools that beat established consulting firms for a Virginia government contract. Their work ended up saving homebuyers $24k per house! After a decade+ launching startups, seeing these tools democratize company building makes me stupidly excited. The competitive advantage is shifting from pure technical skills to clear thinking and effective collaboration with AI. The barriers to entry are crumbling. What are you building that wasn't possible before? 4
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Lakshmi Shankar Together • 3K followers Thrilled to announce that Together Fund is investing in Sentra, alongside a16z speedrun! You track results in Jira. Decisions in Notion. Conversations in Slack. But the reasoning, the debates, trade-offs, and context behind why you chose A over B, disappears into what we call "Dark Matter." A decision made in March looks insane by July because no one remembers the constraints that made it smart. I lived this firsthand at Twitter scaling from 800 to 8,000 employees, and at Google while launching AI Overviews to billions at planet scale. The problem isn't process. Process is compensation for something deeper: organizational amnesia. An organization’s "Systems of Record" doesn’t solve this, they encode it. They store what happened, never why. That's why we are investing in Sentra. Sentra is the always-on collective memory that eliminates organizational amnesia by maintaining accurate context for all members and agents, functioning as an operational nervous system. It connects to every channel where work happens, meetings, Slack, email, code commits, docs, calendars, and treats them not as artifacts to search, but as living signals to synthesize. The fleeting and the permanent, unified into a memory that understands. The founding team is built for this: - Jae Gwan Park (CEO): Product-first founder, memory systems research at UofT and MIT - Ashwin Gopinath (CSO): Former MIT professor, created "Reflexion" (NeurIPS 2023), agents that learn from mistakes, 2x founder - Andrey Starenky (CTO): Early Vapi engineer, ex-IBM, built to process enterprise-scale data firehose Together is an operator-led fund. We invest in problems we've lived. This is one of them. Many congrats Jae, Ashwin and Andrey, we are so excited to partner with you! Read the full thesis: https://lnkd.in/gixj9cE4 Book a demo: https://www.sentra.app/ #OrganizationalMemory #AI #Sentra #TogetherFund #a16z #ContextGraphs 71 3 Comments
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Tom Yang Kestroll • 4K followers This is the YC advice that I disagree the most with. YC advises founders to be output‑oriented, not input‑oriented. The idea sounds good in theory: set goals around revenue numbers and user growth instead of effort. But in the earliest stages of a startup, I’ve found that mindset to be counterproductive, and often damaging. Espeicaly in pre‑PMF, the input does not correspond to the output. You can send 500 messages in a week and get nothing because maybe the messaging is off, the ICP is wrong, or the product presentation needs work. But then the next week, you send out the same number of messages that lead to 10 customers, because you tweaked a copy or reached out to a new group of prospects. Same founder. Same work ethic. Same effort. Completely different results. When you judge yourself by the output in those moments, you’re trying to control something you fundamentally can’t control. As a founder, you are obviously always trying your best, week in, week out. You're are experimenting with new ideas everyday, and inevitably, some will work better than others. If you focus on the output, you just end up getting frustrated, stressed, and burnt out. Focusing on the output only makes you emotional, whereas focusing on the input makes you consistent. And ironically, the more you fixate on the output, the more you sabotage the very input that creates the output. 30 9 Comments
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Astasia Myers Felicis • 6K followers Two trends in fundraising that I’m seeing on a daily basis: 1/ The "we'll monetize later" era for infrastructure startups is dead "We'll figure out revenue once we have users" / "we're focused on adoption first"/ "monetization comes later" This worked in 2021. It doesn't work now. Today’s market won’t reward research organizations or companies that believe in perfection over getting it in users' hands. If you don't have a clear path to revenue… you won't get funded. period. VCs aren't writing checks hoping you'll figure it out later. 2/ "Vibe ARR" is everywhere Remember Jasper? hyper growth, but the model companies ate them alive. We're seeing this again. Companies growing really quickly on point-in-time technology that isn't defensible These companies look amazing on paper. Growth charts going up and to the right. But if you think models are getting better and becoming platform companies, many solutions become obsolete. 162 18 Comments
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Mariano Kostelec Mydra • 20K followers The "billable hour" is dying. YC just dropped their Spring 2026 Requests for Startups — and one thesis stood out: AI-Native Agencies. Their argument: Agencies have always been brutal to scale. Growth = more headcount. More headcount = crushed margins. AI breaks this trap. But here's the part most people miss: The opportunity isn't "use ChatGPT to go faster." It's this: Stop selling hours. Start selling outcomes. A design firm that delivers finished creatives before the contract is signed. A law firm that ships docs in minutes, not weeks. An ad agency that produces video without a physical shoot. These aren't hypotheticals. They're happening now. Why this matters more than you think: 1) You finally get software margins in a service business. Automate the boring 80%. Charge premium for the 20% that moves the needle. 2) You build a moat that SaaS companies can't touch. Pure software guesses where users struggle. AI-native agencies see failure modes daily — in real client work. That data becomes IP. Fast. 3) Clients stop buying "access" and start buying results. Nobody wants another seat on a platform. They want the deliverable. Done. In their inbox. Here's the mental model I keep coming back to: Your playbooks (how you deliver) → become workflows (structured, repeatable) → become agent runs (AI executing autonomously) → become proprietary IP (the learnings only you have). Each cycle makes the next one better. That's the flywheel — and it compounds. YC is basically saying: the next billion-dollar agencies won't look like agencies at all. They'll look like software companies that happen to deliver services. Question for anyone building in this direction: If you launched an AI-native agency tomorrow, what's the ONE outcome you'd productize first? #AIAgents #YCombinator #Startups #Agencies #AI #Automation #BuildInPublic #Entrepreneurship 15 10 Comments
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Sameer Nanda 3K followers For this post 4 of 5 of my YC S25 cohort analysis series, I've been exploring the cohort's regulated vertical plays - healthcare, finance, enterprise operations. A pattern emerged that I didn't expect. It's not about features. It's about what you can't retrofit. The Rebuilding Problem. Legacy platforms in regulated industries face three constraints that create a genuine dilemma: 📋 Compliance by Design: Audit trails built for human decision-making don't translate to autonomous agents. When regulators ask "who's liable when AI makes the mistake?", retrofitting an answer into existing systems is exceptionally difficult. 📊 Economic Model Inversion: Per-seat pricing assumes humans executing the workflows. When agents handle the work and humans shift to oversight, the unit economics flip. Transitioning pricing models while maintaining current revenue is a challenge most companies struggle to navigate. 🔧 Workflow Architecture: Platforms built for heavy human touch become agent-first only through architectural rewrites. Bolting autonomous workflows onto systems designed for manual processes rarely works. These constraints aren't problems you solve with an AI feature release. They require architectural decisions most incumbents won't make. And that creates an opening to build from zero. So who's Building from Zero: Healthcare: b-12 (chemical synthesis copilot), CareSwift (AI scribe for ambulances), Wedge (governance layer for hospital AI) Finance: IronLedger (property accounting agents), Magnetic (vision model for tax prep), Socratix AI (fraud investigation coworkers) Enterprise: Certus AI (restaurant phone AI), Comena (order entry automation), Janet AI (AI-native project management) --- #VerticalSaaS #YCombinator #EnterpriseSoftware #HealthTech #Fintech 25 6 Comments
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Mudit Mathur Stealth AI Startup • 752 followers YC doesn't want you to know this, but... Chapter 1 of Y Combinator Files: Speed. Every strong Y Combinator founder I have spoken to repeats the same thing. If a feature takes a quarter, you are already dead. In the #YC world, features ship in day long sprints. Sometimes hours. Velocity beats polish. Iteration beats planning. Big companies move in weeks or months. They drown in PRDs, approvals, and alignment meetings. Early #startups win because they do not wait. Cursor is a clean example. They ship daily. Sometimes multiple times a day. Meanwhile, legacy IDEs are still debating roadmap decks. Speed compounds in three ways: - You learn faster than competitors. - Users forgive rough edges if #progress is visible. - Momentum attracts talent and #investors before metrics do. This is why YC keeps backing teams that look “unfinished” but move insanely fast. They can always slow you down later. They cannot teach urgency. If you are building for YC, ask yourself one question. Can your team ship meaningful changes daily? If not, fix that before anything else. 42 4 Comments
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Pranav Bedi Moda • 3K followers Demis Hassabis told a room full of YC founders that agents are missing something fundamental. His take: agents today are fire and forget. They can't adapt to the specific context you put them in. They don't learn from the environment they're operating in. And until that's solved, they won't reach their full potential. He hasn't seen the breakout result yet either. No AAA game built by agents topping the charts. No kid shipping a 10 million copy hit. Something is still missing in the process or the tools. That part stuck with me because it's exactly what we see at Moda (YC W26) every day. Agents don't fail because the models are bad. They fail because they don't understand the context they're dropped into. The models are getting smarter. But smart without context is just expensive guessing. We're still in the experimentation phase. Demis said it, and I believe it. The real agent era hasn't started yet. 59 3 Comments
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Shawaiz Ahmed InstrumentiX • 2K followers Getting into YC: A Y-Combinator founder just gave some incredible insights on what really works. 1. Write concise answers so reviewers see the problem and solution quickly. 2. Show a growth mindset by openly discussing weaknesses and lessons learned. 3. Frame YC as accountability to higher standards, not just money or network access. 4. Present a vision that can reach a $1B+ valuation. 5. Use a clear wedge, starting with a niche pain point. 6. Demonstrate traction with signed LOIs, not just revenue. 7. 20 loyal users who rely on you beat 10,000 sign-ups who churn. 8. Prove the idea with a duct-taped MVP first. 9. Talent and funding will follow once demand is clear. 10. Insight from lived pain and execution speed beat a prestigious resume every time. This isn't just a list of tips, it’s a mindset. YC is looking for an obsession with the problem and a relentless focus on execution. Which of these insights do you think is most critical for a successful application? ♻️ Did this help you? Repost to help someone else. 💖 Follow me, Shawaiz Ahmed for more conversations on tech. 4
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Victor Cheng vly.ai (YC F24) • 8K followers I’m competing with other founders on trips to the ER. Here are the most overworked YC companies: 1. vly.ai (YC F24) — 2 times 1. (tie) Willow — 2 times 2. Typa (YC S24) — 0 times 2. everyone else we asked — 0 times One thing we had in common? We were all still reviewing code while strapped to machines. #AlwaysBeShipping #GrindNeverStops If you’re a founder and want to be added, leave a comment below 👇 141 42 Comments
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