Yeabkal retweeted
Today we’re announcing our pre-seed round and a new product: @starslingdev Review Runners - code review agents that use your model key, your team’s skills and scripts, and reviewers you define, all running in GitHub Actions.
We’ve raised $3M from @BessemerVP and @ycombinator to make code verification agent-native.
code → verification (ci + code review) → production
Yeabkal retweeted
In one month, we went from $0 to $144,000 in annualized run rate at Osmaura (YC S26).
Legal is one of the fastest industries to adopt AI. It's amazing to see a legacy industry at the frontier!
(Here's a pic of us once things started to pick up, walking to office hours at @ycombinator :-))
Yeabkal retweeted
Sharing an update on @IllumeLabsInc, your personal health companion you can text, anywhere, which we've been building at @ycombinator! It connects your wearables, lab results, nutrition, and workouts, to give you personalized, actionable insights over text
Sign up app.illumelabs.ai
TestFlight: testflight.apple.com/join/N5…
Your health data is scattered across a wearable, an abandoned nutrition app, and a folder of lab PDFs you opened once. The data exists, but most of it never meets.
Taro is Illume’s personal health companion: you experience it as a text conversation, while behind the scenes, it builds an evolving model of your health by connecting signals across sources and time, learning what is normal for you, and watching for meaningful changes. Each interpretation links to the underlying data, and each pattern can serve as a hypothesis you can test.
Here are 10 ways people can use it:
1: Connect wearables and understand what your health data means
2: Start and end each day with a personalized brief
3: Log a meal by sending a photo
4: Log workouts anytime
5: Drop in a blood panel and ask questions about it
6: Ask a question and get the chart
7: Turn a hunch about your body into a personal experiment
8: Set goals and let Taro keep score
9: Track your mood and symptoms
10: See patterns before you think to ask
Yeabkal retweeted
Everyone owns skincare products, but nobody knows what's actually working.
Today, @theantheaguo and I launch @lumeriaskin (YC S26) to end that.
The Lumoscope is a multispectral camera that clips onto your phone and scans your skin at home with the same light used in clinics, so you see what a mirror can't: a breakout days before it surfaces, and sun damage years before it shows.
Every scan is scored on hydration, redness, texture, and sebum, and it compounds into a record of your own skin. Lumi reads that history, connects flare-ups to causes you'd never suspect, and matches products to YOUR data, instead of a population average.
Preorders are officially open today at $199 only until Aug 16th. Starting today, skincare will no longer feel like guessing. ☀️
An overview of what ekpa is becoming, thanks to feedback. Visit goekpa.com, let us know what you want to see, and take charge of your investments!
Found the post I was referencing :)
Mind boggling to me that I can make a thing faster and there's always people that ask "but why?" What kind of mentality is that? The pursuit of excellence does not need justification. Also, I find in so many cases, we can't know the impact of an improvement until we do it.
For example, one I've talked about before: Ghostty's high IO throughput has enabled terminal program (emulator and TUI) fuzzing at a speed thats incomparably fast to prior solutions. This has resulted in upstream patches to resolve issues in popular projects like btop, tmux, and more.
Speed enabled that anecdotally example that lifted the tides of adjacent communities that don't rely on Ghostty technology at all. I didn't predict this.
Make things better because they can be better and let the results naturally play out.
One of the biggest things I’m excited about in the next few years is AI enabling hypothesis testing on things that normally would not have made economic sense to spend resources on. Like normal things that normally wouldn’t have made sense to optimize or iterate on now you can.
I was working with the MIT GOV Lab a few months back on a simple version of this - having people defining their beliefs on a policy and iterating with them (socratic seminar type beat) - and refining the conversation agent took some time to actually get it to where we wanted it
But it really made me think about how even for the things that impacts people every day (okay I love public policy so I may be biased) it’s actually really hard for everyday people to get a granular understanding of the problems that impact them. Like genuinely. But if that kind of robust scientific exploration is embedded in the systems people use day to day imagine the amount of bottlenecks people could more effectively remove for themselves.
Ran into a friend from high school at the airport. We only knew each other in passing but it was really exciting to catch up and see what they were up to. Doing things you find cool really does keep you connected to other cool people. Bring the energy you want to see frfr








