1/4 LLMs solve research grade math problems but struggle with basic calculations. We bridge this gap by turning them to computers.
We built a computer INSIDE a transformer that can run programs for millions of steps in seconds solving even the hardest Sudokus with 100% accuracy
AI is writing a growing share of the world's software. No one is formally verifying any of it.
New essay: "When AI Writes the World's Software, Who Verifies It?"
https://t.co/8zjS9FkdA8
GPT-5.2 derived a new result in theoretical physics.
We’re releasing the result in a preprint with researchers from @the_IAS, @VanderbiltU, @Cambridge_Uni, and @Harvard. It shows that a gluon interaction many physicists expected would not occur can arise under specific conditions.
https://t.co/EAZhKWacsG
New art project.
Train and inference GPT in 243 lines of pure, dependency-free Python. This is the *full* algorithmic content of what is needed. Everything else is just for efficiency. I cannot simplify this any further.
https://t.co/HmiRrQugnP
Inside our in-house AI data agent
It reasons over 600+ PB and 70k datasets, enabling natural language data analysis across Engineering, Product, Research, and more
Our agent uses Codex-powered table-level knowledge plus product and organizational context
https://t.co/Nr1geMcLoc
I’m convinced mathematics is taught wrong.
Its beauty is buried under technical jargon and lifeless formulas when it should be:
• Clear
• Visual
• Practical
My mission is to get you fluent in the math that will still be useful in 50 years.
https://t.co/7anugoK3U1
We disrupted a highly sophisticated AI-led espionage campaign.
The attack targeted large tech companies, financial institutions, chemical manufacturing companies, and government agencies. We assess with high confidence that the threat actor was a Chinese state-sponsored group.
The dream of every Muslim is simply to be treated the same as any other New Yorker.
And yet, for too long, we have been told to ask for less than that, and endure hatred and bigotry in the shadows.
No more.
Five years ago, I left my role as a Senior Staff Engineer at Uber to start a company.
I wasn’t 100% sure what the product would be, but I knew I wanted to build tools that made developers’ lives better.
We started by building a performance testing tool. I had some experience here from previously building what is still to my knowledge the most performant Android method tracing tool available while I was at Uber. The product was scrappy, powerful -and even got picked up by Reddit and Uber on $100K+ annual contracts. We thought we were onto something big… but quickly realized something: only Reddit and Uber wanted it. 😅
While working on that, we ran into an even bigger problem: before you could benchmark performance (beyond app startup time), it was ridiculously hard to just automate walking through your own app - especially on mobile.
That’s when it clicked. The real, widespread need wasn’t perf testing. It was better UI testing -especially for mobile.
So we pivoted.
We built Maestro: a human-readable, declarative testing framework for mobile (and now web) applications. We launched at Droidcon NYC and… it blew up. The crowd around our booth was wild. We knew we hit a nerve.
Since then, Maestro has been quickly gaining adoption -from startups to giants like DoorDash, Disney, Uber, Stripe, and even the React Native team at Meta, who now use Maestro to test React Native itself.
Last month, we returned to Droidcon NYC. It was quite the full-circle moment. Most people already knew about Maestro. Those who didn’t? We showed them, and their reactions were incredible. Favorite part was seeing a hundred devs walking around happy hour with our branded drink coozies on their beers and White Claws 😂
I’m extremely proud of what we’ve built so far - but our biggest mission is still ahead of us.
Our goal is to unlock testing for everyone: developers, QA testers, and even people with zero technical background.
👉 Today, we're live on Product Hunt with our biggest release yet: Maestro Studio Desktop - a full-blown IDE that allows anyone to write and maintain automated tests for mobile and web. (link in replies)
If this journey resonated with you, or if you're curious about what we're building, I would really appreciate you finding us the Product Hunt homepage, trying the product, and sharing your thoughts.
Thanks so much for reading - and for supporting our mission. Back to building 💙
Introducing Eleven v3 (alpha) - the most expressive Text to Speech model ever.
Supporting 70+ languages, multi-speaker dialogue, and audio tags such as [excited], [sighs], [laughing], and [whispers].
Now in public alpha and 80% off in June.