Super humbling to our faces in the US @AppStore today! 😱🙏🏻😍
A few weeks ago we chatted with @jeffvrabel from @Apple to share a bit of @trytangerine’s story, how we built it remotely and how the pandemic affected our launch and plans.
Here’s the link: https://t.co/GcClatoAmj
Supabase has raised $500M at a $10B valuation
In this round we are giving @supabase employees the opportunity to cash out 25% of their vested options. We have done this in every round since inception.
We do it as a “cashless transaction” so that employees don’t need to front any cash to exercise their options. This is the friendliest way we could design it until we can offer RSUs.
On top of that, we give employees a 10 year exercise window: whether they stay or leave the company. The typical/default window is 3 months. IMO, equity is earned and employees shouldn't be penalized because they don't have the cash to exercise within 3 months of leaving a job (often that's the time they need the cash/certainty the most).
Today is a hard day. I shared this note with the @linear team today: We’ve made the difficult decision to increase our workforce. This is not a cost-cutting exercise or a reflection of anyone’s performance. We’re simply reimagining every role for the agentic AI era. We’re hiring. We’re sorry about that.
Nobody really talks about this, but AI image tools are wildly inconsistent. You craft a prompt, get something gorgeous, and then when you return the next day... boom, totally different look. Colors shift, proportions change, the whole mood feels off. Suddenly, your brand just slips away between sessions.
That’s why @rafaelmotta021 and I started Illux as a side project: to fix this mess.
Here’s how it works: you upload a handful of reference images to your project. Our system (we’re using Claude’s vision tech) goes over each one, checking line weight, color vibes, rendering style, and all the little compositional quirks. Then, it pulls everything together into a style guide just for your project.
And from then on, any illustration you make taps into that guide. No need to re-prompt or copy-paste style details. Whether it’s today or months down the line, you get visuals that actually stay true to your brand.
Come check it out! https://t.co/LWd0KKCtyT
@Ryan_Drumwright Yeah, absolutely. In fact, every designer can become a design engineer now. There are literally no more boundaries between design and engineering. Designers who leverage Claude Code (and similar tools) will thrive.
My biggest takeaways from @bcherny:
1. Coding is now “solved” for most use cases. Boris hasn’t written a single line of code by hand since November, with 100% of his work now authored by Claude Code. At the same time, he remains one of the most productive engineers at Anthropic, shipping 10 to 30 pull requests daily while leading the team.
2. Anthropic has seen a 200% increase in engineer productivity since adopting Claude Code. As Boris notes, “Back at Meta, with hundreds of engineers working on productivity, we’d see gains of a few percentage points in a year. Now we’re seeing hundreds of percentage points.”
3. AI is moving beyond writing code to generating ideas. “Claude is starting to come up with ideas. It’s looking through feedback, bug reports, and telemetry, then suggesting features to ship.”
4. The next roles to be transformed are those adjacent to engineering. Product managers, designers, and data scientists will see similar transformations as agentic AI expands beyond coding. “Any kind of job where you use computer tools will be next.”
5. Build for the model six months from now, not today. One of Boris’s key principles is to design products for future AI capabilities, not current ones. “It’s going to be uncomfortable because your product-market fit won’t be very good for the first six months. But when that model comes out, you’ll hit the ground running.”
6. Watch for “latent demand.” Claude Code was built by observing what people were already trying to do, and then making it easier. Cowork emerged when they noticed people using Claude Code for non-coding tasks like analyzing MRIs or recovering wedding photos from corrupted drives.
7. Don’t optimize for token cost. Boris advises companies to give engineers unlimited tokens during experimentation phases. “At small scale, the token cost is still relatively low compared to their salary. If an idea works and scales, that’s when you optimize it.”
8. Underfund headcount on purpose. When Boris puts one engineer on a project, they’re forced to let AI do more of the work. Constraint drives creative use of AI tooling, not just faster typing.
9. The most successful people in the future will be generalists. “Try to be a generalist more than you have in the past. Some of the most effective engineers cross over disciplines. The people who will be rewarded most won’t just be AI-native—they’ll be curious generalists who can think about the broader problem they’re solving.”
10. Always use the most capable model, not the cheapest. A less intelligent model often burns more tokens correcting mistakes than a smarter one spends getting it right the first time. Boris runs maximum effort on Opus 4.6 for everything.
Here's the full conversation: https://t.co/4hHAEq0Nto
@claudeai dramatically changed the way I work (for the better).
Designers, jump in. It makes you feel like anything is possible. The boundaries are (literally and figuratively) gone.
Thank me later ❤️
Prediction: In the AI age, taste will become even more important. When anyone can make anything, the big differentiator is what you choose to make.
https://t.co/3GQUlfH58t
Conquistamos o Brasil. Conquistamos a América. Agora, queremos o mundo mais uma vez.
Seremos onze em campo e 45 milhões espalhados por cada canto desse planeta.
Amanhã é dia de fazer história mais uma vez. Foi assim em dezembro de 81. Assim será em dezembro de 25.
VAMOS, FLAMENGO!
One of the biggest reasons I decided to join @base is because @jessepollak made it clear that craft and quality is genuinely something that himself and the team care about. I can’t wait to build that culture even further.
Having been an employee at a startup in the past, I found the 90-day option exercise window very unfair. There was rarely guidance on early exercise, or it wasn't allowed, tenders weren't including past employees and there wasn't much transparency on the business overall.
With Linear, I wanted to do better. From the early days, we’ve offered a 10-year extended exercise window, early exercise in the US, and as much transparency as possible about the performance of the business, starting from the moment we present a job offer.
And now, offering liquidity is another important step in giving our employees more flexibility.
More here: https://t.co/EgUVG6LHcV
Even the biggest companies with the deepest pockets are struggling to hire top design talent. And as usual, it comes down to a fundamental misunderstanding of what drives most great designers. They want to be surrounded by other great designers and a culture that cares.