Daniel Kim

@lizziepika @EntireHQ @blackgirlbytes @ashtom Congrats!!

LinkedIn heard it first--I joined @EntireHQ! 🟡 We're building the dev platform for the AI-native SDLC--humans + agents writing, reviewing + shipping software together. Beyond excited to work w/ the amazing @blackgirlbytes, @ashtom, + the whole Alliance. Bring a towel. 🤝

Live from New York, it's...$CBRS @Nasdaq thank you for the welcome!

@abhiarya congratulations!

what a ride

ur go talk to your claude, talk to my claude, talk to my claude~~~~~~~~~ and we are --- never ever ever .... gonna get good code

@MilksandMatcha @swyx @cerebras @cognition looks fire!!

WHO WOULD HAVE EVER EXPECTED. 300+ developers, partying past 11:00 PM, on a tuesday night? cafe compute miami (and 21st birthday party for @swyx). presented by @cerebras and @cognition

@DanielEdrisian congratulations!!

I've left OpenAI and the Codex team to build Blackstar: A new hardware company building the future of human-computer interaction. We believe that software is solved. Building apps is now easy, but the next meaningful improvement in human-AI communication requires changing the OS & hardware. That's why we're building a new device entirely. I'm also excited to announce our $12m seed round led by @AbstractVC, with participation from @naval, @SVAngel, @chapterone, and Timeless, among other amazing angels who've supported us from the old Alex days.

@LinghuaJ @cocoindex_io congratulations!

Super excited to finally share CocoIndex v1 ! @cocoindex_io - After 50 releases in v1 alpha, together with 70 contributors since v0 launch. It is a fundamental redesign of how you write incremental data pipelines — built from a year of watching what people actually wanted to do with CocoIndex and building in the space. CocoIndex V1 is built for 𝐀𝐈 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐬 𝐚𝐧𝐝 𝐚𝐠𝐞𝐧𝐭 𝐛𝐮𝐢𝐥𝐝𝐞𝐫𝐬 — people building coding intelligence, context, RAG, memory, knowledge-graph that live agents depend on. At GTC 2026, Jeff Dean and Bill Dally named a bottleneck that’s about to reshape every piece of infrastructure around AI. Agents run roughly 50x faster than humans, but the tools they rely on were built for human speed. Data infrastructure is one of those tools, and it matters beyond inference. An agent reasoning over a codebase, a conversation graph, a document corpus, or a stream of events needs that data fresh, organized, and cheap to query — not just on the first call, but throughout the run. That has always been CocoIndex’s vision. V1 makes it the right shape for agent-era workloads: the same incremental, state-driven guarantees, but now expressive enough to cover the pipeline shapes agents actually produce — entity resolution, clustering, multi-phase reduction, per-tenant topologies, conditional targets beyond embeddings and all. Every pattern in the examples gallery is something a long-horizon agent might want to run itself, and have its outputs become fresh source data for the next agent — without a human babysitting the job. Teams that take this on seriously typically allocate 10 – 20 engineers for at least six months to land the first production-worthy version — and then keep paying for maintenance indefinitely as sources, targets, and schemas evolve. CocoIndex ships all of this in the engine, so the code you write is the pipeline itself, not the scaffolding around it. Take a look at the announcement here, and keep us on your feedback!

@ivanleomk I’ll cya there ❤️

If you're a fan of the Gemma 4 model, we're hosting a small social with the team behind it next week. Swing by for good food, casual chats and meet the team! luma.com/76kumiui

@JuanPa What does generous comp mean? lol

“I'm not sure if you're looking currently, but wanted to see if I can pique your interest. I'm working with a well funded startup…”

@RayFernando1337 the mouth movements make me uncomfortable lol

I’m going to miss you Sora…

We're teaming up with @cerebras to build the fastest possible inference. Coming soon to Amazon Bedrock, we’re delivering inference performance an order of magnitude faster than what’s available today by connecting AWS Trainium3 for compute-intensive prefill with Cerebras CS-3 to power decode. Learn more about the partnership. go.aws/3Pzcota

@JuanPa @Clinebot @coderabbitai congrats!!

new job just dropped. after a fun run at @clinebot, i'm joining @CodeRabbitAI to work on Developer Experience with an incredible team. so next time CodeRabbit roasts your PR and you have no idea why, you'll have someone to blame. let's go. 🐇

@GeoffreyHuntley thanks ralph dad for coming

the new tungsten cube

@protozog This design work is insaneeee

Bring your voice agents to life

@RayFernando1337 Let’s goooo

Who wants in to Cafe Compute by Cerebras? It is going to be a huge week at GTC and would be fun for you to join me! luma.com/cccerebrasgtc2…

@aurielws @pzakin @kobiefuller @ivanburazin cuteeee

Pics came back from upfront summit and they’re fire thanks again @pzakin @kobiefuller ♥️ Feat @ivanburazin 🚙

@philipkiely codex probably could one shot it lol /s jkjk congratulations can i get a paper copy?

Inference Engineering launches today. baseten.com/inference-engi…

@draecomino Hbu

Will you escape the underclass

@Beccalytics Looks gorgeous

When I tell you we found the most INCREDIBLE venues for RM and AIE...