Everyone's talking about AI-generated HTML. But have you tried giving your sites a zero-config API for saving data, file storage, AI, websockets, etc? We did this at Shopify. Runs on a single VM that costs $200/month, and it's changed the way we work. We call it Quick 👇🧵

Come race Porsche 911s with us at Pier 30 this saturday. 1000 founders raised more than $1M . Three 911s. A racing track we're building from scratch on the San Francisco waterfront. Open bar. DJs. Food trucks. The whole thing. We're turning Pier 30 into an F1-style party. Saturday June 6th. 1:30-6 PM. Pier 32 at the Embarcadero. RSVP approval required. Driving slots are limited. Organized by @imagineagi with @fondohq, @TrustVanta , @awsstartups, @rippling, @composio, @conduitai, @hyperspell, @cladlabs, @getreflex, @mindstudioai, @joinergo, @EntelligenceAI. @PlanetScale Link below 👇

Balancing my final budget proposal for California. Tune in tomorrow.

Starting June 15, paid Claude plans can claim a dedicated monthly credit for programmatic usage. The credit covers usage of: - Claude Agent SDK - claude -p - Claude Code GitHub Actions - Third-party apps built on the Agent SDK

we tried to build this ourselves at cluely, but it's a hard problem to solve fundamentally the problem is with the models for proactive ai glasses (or even just proactive ai), you need > sub 300ms response time > continuous visual scene understanding > super high precision on "when to help" > insane context window > ultra low-friction output (a text blob is high friction) and like 10 other core features that just don't exist yet impressed that this team does not stop and are constantly finding workarounds to try and win an obvious future form factor

We push Prefill/Decode disaggregation beyond a single cluster: cross-datacenter heterogeneous hardware, unlocking the potential for significantly lower cost per token. This was previously blocked by KV cache transfer overhead. The key enabler is our hybrid model (Kimi Linear), which reduces KV cache size and makes cross-DC PD practical. Validated on a 20x scaled-up Kimi Linear model: ✅ 1.54× throughput ✅ 64% ↓ P90 TTFT → Directly translating into lower token cost. More in Prefill-as-a-Service: arxiv.org/html/2604.15039v1

Today we're releasing the Factory desktop app. A native interface for autonomous AI agents that work across every part of your software business.

The wild thing about gstack is even if I don't yet have real OpenClaw support, you can actually just point it at my open github repo and what skill file I have, and OpenClaw will just act as if it were a native OpenClaw skill!

Stop hiring teams. Build a team of solo founders. Each person owns a KPI. AI is their team. The best performers rotate into the hardest problems.The worst get exposed. Pure meritocracy.

Here’s what I’d do if I was in charge of GitHub, in order: 1. Establish a North Star plan around being critical infrastructure for agentic code lifecycles and determine a set of ways to measure that. 2. Fire everyone who works on or advocates for copilot and shut it down. It’s not about the people, Im sure theres many talented people, youre just working at the wrong company. 3. Buy Pierre and launch agentic repo hosting as the first agentic product. Repos would be separate from the legacy web product to start since they’re likely burdened with legacy cross product interactions. 4. Re-evaluate all product lines and initiatives against the new North Star. I suspect 50% get cut (to make room for different ones). The big idea is all agentic interactions should critically rely on GitHub APIs. Code review should be agentic but the labs should be building that into GH (not bolted in through GHA like today, real first class platform primitives). GH should absolutely launch an agent chat primitive, agent mailboxes are obviously good. Etc. GH should be a platform and not an agent itself. This is going to be very obviously lacking since I only have external ideas to work off of and have no idea how GitHub internals are working, what their KPIs are or what North Star they define, etc. But, with imperfect information, this is what I’d do.