Every company website is out of date or broken. How many times did you end up in these situations? The features page isn't in sync with the product A typo nobody ever fixes A broken link A page that never got translated A component that shouldn't be there

Today we're launching Inbox Cleanup, by Upstream 50K+ → 20 EMAILS (in <10 minutes) An agent that goes through your old email, archives the clutter, and helps you unsubscribe from the newsletters you never read. It cleans up your Gmail the way you would while keeping your data private Free for any Gmail user → cleanup.upstream.do/

Honestly this is how I should have explained it from day one. The whole point of branching is that you can try something on a page without the fear of breaking what's live. Turns out a coloring page beats my onboarding tooltip. Thanks @thepixelgeek 🎨

Fimo 2.0 is live! You built your website with Claude Code, Cursor, Codex. Your whole team edits it live. Agents keep it running.

.@fimoai 2.0 is LIVE! Make your AI-generated website editable and autonomous, so it gets better while you sleep 🧵

Strapi MCP server is now GA strapi.io/blog/the-strapi-mc…

We are hiring a Technical Account Executive. Here is why you should not join us: 🔴 You can not install Strapi. 🔴 You have not used Claude Code, Codex, or similar. 🔴 You are not based in Europe (see countries in the offer). 🔴 You want to work with your colleagues in person every day. 🔴 You think React is only a verb. With this being said, join us if: ✅ You love talking to developers. ✅ You are, or have been, a developer. ✅ You believe in the importance of open-source. ✅ You worked in a B2B SaaS startup or in a Digital Agency. ✅ You want to empower (not just sell) prospects and existing customers (Adidas, Airbus, etc.). ✅ You want to join a global, all-remote company. ✅ You want the one and only Bart Sakowski to be your manager. All-remote. Competitive salary. Cash-flow positive. Incredible customers. Stellar team.

1/ Stripe bought Metronome. Adyen is buying Orb. Easy to read as payments consolidating. Then Salesforce bought m3ter.

Excited to launch Upstream and announce our $3M pre-seed round AN INBOX DESIGNED FOR HUMANS AND AGENTS Upstream's agents sort the noise, draft replies in your exact voice, follow up at the right time, and do what you ask, like finding receipts, scheduling meetings, or writing personalized messages Thousands of people used it in our closed beta to handle their email. Now available to everyone How it works: 🧵

Unclear if a durable trend, but CEOs and CTOs are back to coding with a fury, thanks to coding agents. I have public company CEOs sliding into my DMs (and “InMail”) telling me about falling in love with shipping software again thanks to Claude Code and Vercel. “Dream accounts” that we always wanted to work with, where in the past the C-suite would hardly understand the infrastructure until much later in the game. Coding agents are the ultimate PLG-fication of the enterprise. Bad, legacy software can’t hide anymore. The stack that works is self-evident to the entire organization, from intern to CEO.

And now that you can connect your Strapi project to Claude, Cursor, ChatGPT, or any MCP-compatible client, what are you going to do? The Strapi MCP Server is now live in Beta, available starting v5.47.0 🚀 Try it 👉🏻 strapi.link/4e9sNOR

lol Anthropic's run rate is insane

We are organizing a meetup with our friends at @better_auth, @MuxHQ, and @vercel! Where? SF 🌁 When? May 12 Register now: luma.com/dx-meetup @MarcBaiza @aureliengeorget @vcoisne

We're coming out of stealth to announce our cyber defense research lab. We are exploring data and post-training techniques to build superhuman cyber defenders. Our mission is to make sure the West always wins. The last 3 months we've built an automated data pipeline to create training data from 80k CVEs (aka public vulnerabilities). Our next topic? Post training a model that's better at fixing all the vulnerabilities in your codebase. Like really fixing them. Not saying it's secure when there are still ways to exploit them. Here are the questions that keep us awake at night: How do you train a model to defend without improving its capabilities to attack? What's the right reward? How to measure the defense capabilities? How do you create synth training data that reproduces real systems? What kind of access do you give an ai cyber defender? How far can you trust it? If you know insanely good cyber experts (red team, blue team, CTF aficionados) or ML engineers (synth data generation and post-training models), send them my way. We need to make models far better at defending.