We just got into YC. Super excited for what's to come. Stay tuned!

The 3 things YC tells you to focus on during the batch: 1. Build product 2. Talk to customers 3. Sleep / Exercise (or anything that helps you with the first two)

Little highlight from the knockouts (still got it 😄)

A little late but had a ton of fun at the Tech World Cup last week hosted by @siliconmania and @plmsda Had to bring home the win for @fdotinc 🫡 shoutout to the boys Awesome event @adilmania @joherkhan @noorcarriveaux

on to the next!! 🇲🇦🇲🇦

I applied to YC 10 times and failed. If you know me then you will know how important this has been for me. I grew up reading @paulg's essays. And watching startup school videos was the reason I wanted to do a startup in the first place. Although I have always had a side hustle, I could never go all in because my dad (who passed away 3 years ago) was diagnosed with cancer. So I had to go all in on my dad's health instead. And I would talk to him about our plans and ambitions and he would get really excited with me. He always encouraged us to pursue our own thing. And I know he would have been very excited for us now. This is probably the greatest time to build a startup as we go through the biggest technological shift the world has ever seen. I always remember @bchesky's words that the biggest gift you can get in life is for someone to believe in you. And I am incredibly grateful to have found a believer in @xuster and @gralston. The lesson I've learned is: just don't give up. Your main job running a startup is to never give up. Even if it takes 10 applications, just keep going. Leave a page in the history books for what is about to come from this team because @FabraixHQ is part of @ycombinator. We're just getting started.

massive

Enjamb (@tryenjamb) puts AI agents across the entire drug program, from evidence synthesis to regulatory docs to statistical programming, cutting months off the path from preclinical to approval. enjamb.ai

Apply - it can change your life.

We had @sama come to give our lecture at Stanford today. Here is what I learned: > The startup playbook needs a refresh → with an affordable spend of tokens, one person can do what a 100-person engineering team used to do. The speed of change is totally different now. Whatever you thought was the ceiling for a small team is wrong. > Scale is the cheat code → the most interesting thing Sam has noticed across his career is that scaling just keeps paying off. Bigger models, more smart people in one room, more startups funded at once → the returns don't flatten, they compound. > Intelligence is the next utility → when electricity became a utility, you couldn't sell electricity, you had to sell light. Tokens (or one layer above) will be the unit. You won't think about the hardware any more than you think about airtime on your phone bill. > Inference is underinvested → the models are coming. The bottleneck is making inference cheap and abundant enough to actually use them everywhere. > Keeping AI in the hands of a few companies is the real risk → the safety argument for centralization is real, but the risk of concentration is bigger and shouldn't be underestimated. Push the technology to the world. > His spiciest take is that AI just keeps going → and if people actually believed that, the reverberations across society would be way bigger than what we're seeing. The potential is completely different from how seriously people are taking it. > If the idea is obvious to you, it's obvious to others → OpenAI was one of 4 GenAI companies racing at the same time. The trillion dollar markets sitting out there right now are the ones nobody is talking about yet. Every unobvious idea sitting out there right now has a shrinking window before it becomes obvious to everyone. The question is: what are you sitting on that the rest of the world hasn't caught up to?

Every time you look back on a period of growth in your life, it was usually preceded by an uncomfortable period. When you’re in that moment it’s hard to internalize it, but man do you come out of it on another level.

A truly meaningful mission from a great team.

The future of software.

We had @garrytan and @sdianahu come to give our lecture at Stanford today. Here is what I learned: > “You can now boil the ocean” → previous expectations of what someone can do in front of a screen are outdated. A 6-person team can now hit $10M in revenue. In 2010, a 10-person startup felt impossibly lean. AI didn't just change the tools; it changed the range of outcomes completely. > Evals are taste made executable → Generic benchmarks won't tell you if customers actually want your product. Founders are the ones who have to build the evals; nobody else can do it for you. > Run your company as a closed loop → Open loop = information lives in human heads, decisions take days, errors compound silently. Closed loop = every workflow produces artifacts agents can read, every step has error-checking built in → now you get your 10x outcomes. > AI is latent, code is deterministic → Latent is where intelligence lives. Deterministic is where trust lives. Build so you're not relying on the latent stuff when it matters. > AI is changing the very structure of organizations → Middle management existed to route information between people. Closed-loop orgs don't need that anymore. Flatter teams, everyone shipping, and one person = one outcome. YC's average batch is now hitting 10% week-over-week revenue growth. Five years ago that was the top 1% only. The world is changing. The question is whether you're changing with it? And the even bigger question: will you be the one changing it?