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When I tell people about Boom, one of the things that surprises people most is just how small the team is. The XB-1 team was about 50 people and today the whole company is less than 150.
Why Co-CEOs for our $150M+ ARR startup? because the broccoli 🥦 haired 20 year olds in SF are coming for our lunch. We’re 8 years into building, geriatric in AI terms. IMO the only way to compete with these fools is to embrace the broccoli energy ourselves. that’s the thinking with Co-CEOs: 1. I build the version of our company that we would build if we were starting from scratch today. No tech debt, no org debt, no priors. 100% AI native company building 2. @ringmybeller owns the $150M business, the 20k customers, and the growth that’s paying for the experiment. This year we’ll grow 50% YoY profitably, it’s clearly working and he’s crushing. The beauty of it is we haven’t yet unveiled the new version of the company. That’s coming in September. "Postscript 2.0" takes 8 years of lessons and experience and combines it with the tactics and tools that benefit the 20 yr olds today. It’s been one of the most painful things for us to do. There’s endless change management, dissent from non-believers, lot’s to work we’ve created for ourselves. To me, that’s much better than the alternative. Disrupt yourselves before someone else does.
These guys are from just down the road from where the Collisons came from, so office hours with them had a lot of deja vu.
we built a tool that lets you edit UI directly in the app instead of going through Figma + engineering 1. select the part of the app you want to change 2. describe what you want 3. Cursor edits the code 4. review the PR designers can make small UI changes without waiting on an engineer, and engineers don’t have to spend time translating tiny design tweaks into code.
Congrats to @ArintraHealth (W22) on their $25M Series B! They build AI that translates medical visits into the billing codes hospitals need to get paid. Every chart has to be coded before a claim goes out, and doing it by hand is slow and error-prone. Arintra codes charts autonomously across inpatient, outpatient, ambulatory, and emergency care. They work with large health systems representing more than $50 billion in combined patient revenue and process over $5 billion in claims a year. Customers report a 5.1% lift in compliant revenue capture, 32% lower costs, and 43% fewer coding-related denials. https://www.fiercehealthcare.com/finance/arintra-banks-25m-series-b-funding-round-ai-driven-revenue-assurance-platform
Today, we’re introducing Flows by Allia; a new way for mental health practices to automate repetitive work, directly inside the EHR. Most practice software is designed to record what happened. We want it to help determine what happens next. Running a mental health practice involves hundreds of small operational decisions: what needs to happen, when it should happen, and what to do when it doesn’t. Each decision is simple. Managing all of them, across every patient, is not. That’s why we built Flows. Flows lets a practice turn its own operating logic inside the EHR; defining the triggers, conditions, actions, and timing once, then allowing Allia to carry that process forward. This is about more than automating a few administrative tasks. It’s a step toward an Allia that understands how each practice works and actively supports the operational layer behind care. We’re excited to see what practices build with it. Watch it in action below.
Today, we’re announcing @ArgaLabs’ $10M seed round led by @generalcatalyst. AI agents are taking consequential actions across real systems, but teams still lack a safe, realistic place to test them before production. Arga’s Real-World Sandboxes give teams stateful twins of external systems—letting them catch regressions, replay edge cases, and validate non-deterministic workflows without ever touching production. Teams at @slashapp, @MonacoGTM, @WorkWeave, @YCombinator, and more have already run 100,000+ tests on Arga in the past four months. Thank you to @BoxGroup, @emergencecap, @GradientVC, @svangel, and everyone else who backed us. Glad to be building with @akkkkiira. We’re just getting started. 🚀 P.S. We’re giving everyone 10 free sandbox runs. Reply or DM me! TechCrunch Article: https://techcrunch.com/2026/08/26/arga-is-building-a-better-way-to-train-enterprise-ai-agents/
Never have I been as frustrated about limited capital as this YC batch. So many amazing founders and companies. 12/12 investments made. I think I'd be happy to have invested in *at least* 8 more favourites. You 8 know who you are. "I'm sorry" seems unnecessary though as it will almost certainly be me who will feel the most sorry when you all smash it. Amazing founders. I just wish I could invest more, in more. Maybe next batch ;)
I done so many Collison installs during YC I got to meet John Collison The man who invented the playbook
fundraising before @ycombinator is very different from fundraising after. i thought fundraising meant weeks of meetings and follow-ups. we haven’t even properly started raising yet, and we’ve already seen investors commit hundreds of thousands within a single 30-minute call. The yc ecosystem is unreal. there’s no better place to build a startup imo.
Healthcare data is now fundamentally an engineering problem. And we're the engineers to solve it. Proud to announce our $26M fundraise led by @TJParker from @MatrixVC, with @ArtisVentures and @ycombinator
BREAKING: Kalpa TTS Beta v0.1 by @KalpaLabsAI takes #2 on Audio Realism Bench with an Elo of 1331. The model ranks just ahead of MAI-Voice-2 by @MicrosoftAI and Eleven v3 Conversational by @ElevenLabs, and behind Bland Speech v3 by @usebland. Congratulations to @pshishodiaa, @gautam_jha_37, and the @KalpaLabsAI team!
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today we're launching Frontier Computing (YC S26) we grow neurons that colocate memory and compute, so you can more easily train ML models. here's one of ours playing Frogger. and we're building a 500M-neuron cluster. live EOY 2026. that's 2,500x larger than the major biocompute systems available today and we'll keep scaling until large model training on biocompute is widely accessible. after all, human intelligence is built on a lipid, amino acid, glucose and vitamin cofactor soup: eating food is less costly than eating GPU compute
Circleback is now free. Circleback was the fastest growing product in their YC batch and have an enormous internal adoption among YC companies today. @ycombinator @circlebackai
3 big Circleback updates this month: • a free plan with unlimited meetings • import your past meetings from other apps • an API for all your Circleback data here's what's new from our team retreat on a ranch
We built an entire pharmaceutical factory so we could sell drugs on the internet. Introducing @Ronan_RX. Farm-to-Table GLP-1s for $78/month.
Corsair connects your users to their apps. Build custom UIs, agents, knowledge bases, workflows, and just about anything else. 11k+ Github stars, 50k+ monthly downloads, 500+ integrations Get started at https://corsair.dev
"The way to get the very best startup ideas is not to look for startup ideas. If you’re consciously looking for them, you’ll be too conservative. You’ll lop off the outliers." Instead, work on projects with your friends. Build things you think would be cool. Paul Graham on How to Earn a Billion Dollars: https://www.paulgraham.com/earn.html
Strange as it sounds, YC wants companies it rejects to succeed. Otherwise we won't know if we reject someone good.