Building data and ML systems for marketplaces, retailers, or e-commerce? 🚀 Join us on Dec 10 for a live demo with @marx_elliot on how Chalk keeps retrieval, ranking, and decisioning fast and reliable under heavy load. RSVP today to save your spot: https://t.co/EyuSMhyltP

We're thrilled to welcome three new team members this week! Say hello to Reilly, Victor, and Raymond. 👋 Reilly joins our eng team in NYC from MongoDB, where she worked on the query integration team. Victor will lead our internal accounting function, having previously worked

almost exactly 6 months after announcing our $50M Series A at a $500M valuation, the @chalk team officially moved into our new SF HQ today! ... we are growing insanely fast and need the space

Read more about our partnership with Whatnot here:

Holiday shopping season is officially here! 🛍️ And the most fun place to do it? @Whatnot, the live-shopping platform delivering a fresh, personalized experience, powered by Chalk's unified feature platform.

Read more in our Changelog here:

Chalk users now get complete visibility into how their queries execute, making it easy to spot slow spans, identify inefficient SQL, and understand query behavior end to end. All trace data is surfaced directly in the Chalk dashboard.

New Changelog drop! ⚡️Tracing for performance diagnosis is now available, a small update with big impact for teams focused on speed and reliability.

Full article here:

We've been named to Fast Company's Next Big Things in Tech 2025! We build real-time ML infra that closes the notebook-to-production gap: helping teams ship features fast and keep models accurate. Thank you to @FastCompany and all the ML teams building on Chalk. #FCTechAwards

.@marcff, CEO of @Chalk, on why the cost of AI models haven’t dropped more. “Even as chips get more powerful, workloads are scaling even faster. So that means more parameters, larger context windows, larger models. And so they're kind of outpacing.” "Costs don't fall just

Today on The Information’s TITV: -@SylviaVarnham on how DOGE is using AI to consider SEC rule cuts -Natasha Mascarenhas (@nmasc_) on @OpenAI and @xAI showing interest in @Cursor’s data -@BrendanFoody, CEO of @mercor_ai, on how AI could overhaul recruiting -@marcff, CEO of

Real-time inference is how value gets delivered by LLMs. Low-latency, production-ready pipelines are still out of reach for most. @chalk is changing that by building the data platform for inference. We’re proud to lead their Series A and work with @marcff, @derander, and

https://t.co/q8ChL2WXCP

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The future of AI is real-time.We just raised $50M (Series A, $500M valuation) led by @Felicis with @Triatomic @generalcatalyst @Xfund @UnusualVC The last decade solved training. We're solving what's next. More from our CEO and Reuters below.

We are deeply honored to have been @chalk’s first investor — the team led by @marcff, @marx_elliot, and @Derander are powering the most important part of the AI revolution now underway: inference. We long ago inferred that they’re the team to back. 💪🏼

Proud to have supported @chalk's $50M Series A! This team is solving one of the hardest problems in AI infrastructure – getting fresh, real-time data to production models. The teams that get it, get it; faster performance isn’t just a nice-to-have, but a real competitive

We'll be speaking at today's Feature Store Sumit alongside some incredible companies like @stripe, @Etsy, and @Airbnb - swing by at 10:30 PST! https://t.co/dO5q83kscE

At Chalk we spend a lot our of our cycles thinking about how to make our code run fast. Incredibly fast. What does that look like? Bill Qin from our team recently released PartiQL support - check out our blog for more detail. https://t.co/661rxjP0Nw