It’s a weird complaint to have but with AI agents, that “flow state” during coding is gone (because the coding itself is gone.)
Every time I talk with a dev about work now vs before, it seems to come up, like today with a former colleague.
Are we over-glorifying it (I mean it wasn’t all roses, it was also frustration) or is it something important / relevant they we had but now don’t really have?
I did office hours today with a startup that had three different paths to get huge. I told them to optimize for growth rate and let that decide. Maybe the winning path will be a fourth one we don't know about yet.
CarSignal is live!! We're the AI operating system for auto shops. CarSignal replaces the current fragmented shop stack with one intelligent system. CarSignal handles booking, quoting, diagnostics, invoicing and more.
Go check out the launch here: https://t.co/cGDy8q14hW
Most of the creator economy has been built around reaching people everywhere. Local businesses need something different: creators who live nearby, posting about places their viewers can actually walk into.
Today we’re launching @TryNearbyCom as part of @ycombinator S26, live with 120+ paying restaurants across Southern California.
We have spent the last 10 months doing restaurant visits with creators and sitting with hundreds of owners, learning what they actually need. That work grew us over 130% since the batch started with over 90% retention since November.
Excited to continue to make local businesses discoverable online, and to turn millions of locals into creators for the businesses around them.
YC doesn't have a word for this, but this is what it looks like when I talk to a whole bunch of startups at once. I only talk to each co for about 5 minutes, but it's like office hours: we go right into what they're working on, and often come up with new ideas for what to do.
We learned how to fly a plane to tell SF one thing.
Introducing the Vendo (YC S26) Full-Stack Agentic Interface. A production-ready agent for your users with everything they need.
It takes real actions for your users. And it can even build whole new features, micro-apps, and automations, right on top of your product.
Built-in permissioning, tool guards, user context, and more. Everything you need for a user-facing agent.
One command to install. Open source.
@runvendo@nourzahzah
My @aiDotEngineer talk on lessons learnt from studying memory systems for a year:
> the evolution of chatgpt and claude memory over the years
> their architectural convergence
> why memory cannot be outsourced
> how memory is a function of compute
> continuous learning for individuals
> why we have a massive context problem
Yesterday we had dinner with @paulg at @ycombinator's office. And it was by far the most information-dense conversation I have had in my life.
I do not think there is another place where you can get this much timeless startup advice in one room.
Three things I wrote down:
1️⃣10% week-over-week growth is all you need to care about. It's impossible to mess it up as a founder if you maintain this growth for a long enough period.
2️⃣Great startups ride second waves that propel them to be truly huge. Zuckerberg could not have predicted the coming of the iPhone 3 years after he started. Replit grew from 1M to 100s of millions in revenue in one year from vibe coding. Boom Supersonic couldn't have predicted that there will be such demand for their engines to power AI data centres. You cannot time the wave but it's about being alive long enough to catch it.
3️⃣Formidable founders are deeply committed to what they are building. They survive the hard years because giving up is not an option. They eventually get what they want because they keep going when most people would have stopped.
I could have listened for another five hours. What an absolute pleasure to have met him in person.
Today we are excited to launch Tenor, backed by @ycombinator (S26).
Tenor turns every employee into a manager of AI workers.
Companies are spending billions on AI, yet treat it like a software subscription. Unlike software, labor gets a job, a manager, a budget, and a review.
For the first time, your AI spend becomes accountable labor: every AI worker gets a job, a manager, a budget, and measurable outcomes.
for years, I had opportunities to come to SV
but coming here was never the dream
the dream was to build something that mattered, something ambitious enough to consume a decade of our lives, something bigger than any one of us
and I always knew that if I was going to take that swing, it had to be alongside people who believed just as deeply
today, we’re launching tenor
and I have to say: I’ve never had this much joy building.
what you see today is only the beginning, a small glimpse of what we believe tenor can become
there is a long road ahead. I wouldn’t want it any other way
here’s to the next decade of building tenor
Today we are excited to launch Tenor, backed by @ycombinator (S26).
Tenor turns every employee into a manager of AI workers.
Companies are spending billions on AI, yet treat it like a software subscription. Unlike software, labor gets a job, a manager, a budget, and a review.
For the first time, your AI spend becomes accountable labor: every AI worker gets a job, a manager, a budget, and measurable outcomes.