Sparker

troublemaker @youdotcom
creator of and by the shape of the stone

[Sparker @PeerReview]

It's hard working on product growth in 2026. Most of my end users are now AI agents, who are immune to well-worn tactics.

So when @getpostman made this new "AI-ready APIs Leaderboard" and put @youdotcom on the top, beating the legendary @OpenRouter by two points, I feel like we won the championship.

All the hard work over the past 13 months making our APIs, our platform, and the developer experience to world-class has really paid off.

Now, some recognition. Super proud to work at @youdotcom along side @edwardirby @itsakhilp @tyler5673 @king_chaga @srbh_shrm (who are a joy to work with and just show up everyday ready to build a great product.)

As @RichardSocher says "Better, better, never done" so we'll keep shipping. (Maybe improvements to our new router product... 😀)

https://t.co/F9VTy2rzVc

[Sparker @PeerReview]

@NoahGarfinkel anaphora

[Sparker @PeerReview]

@mathfax Oh noul

[Akhil @itsakhilp]

we put in a lot of work to make our products searchable, readable and interpretable by agents (and humans too).

a good precursor for how well our actual APIs work when plugged into your agents.

[You.com @youdotcom]

#1 of 556 on @getpostman's AI-ready API leaderboard.

In good company with @OpenRouter, and @vercel.

Agents can find us, read us, and ship with us.

[Sparker @PeerReview]

@shawmakesmagic this post is like AI slop bingo

[Sparker @PeerReview]

@Marktechpost How can tiny fish publish anything, they only have fins

[Sparker @PeerReview]

@getpostman @youdotcom @OpenRouter New router from https://t.co/FiN6qLVDJN: https://t.co/G4MlWHpnzX

[You.com @youdotcom]

Introducing Inference Router: enterprise-grade inference on demand.

Kimi K3, GLM 5.3, DeepSeek V4.1 Flash, Qwen3.8 Flash, Muse Spark 1.3, Mercury 3 and more, available with an uptime SLA of at least 99.9%. US hosting and web search built in.

https://t.co/XBdJQWDwnO

[Sparker @PeerReview]

It's hard working on product growth in 2026. Most of my end users are now AI agents, who are immune to well-worn tactics.

So when @getpostman made this new "AI-ready APIs Leaderboard" and put @youdotcom on the top, beating the legendary @OpenRouter by two points, I feel like we won the championship.

All the hard work over the past 13 months making our APIs, our platform, and the developer experience to world-class has really paid off.

Now, some recognition. Super proud to work at @youdotcom along side @edwardirby @itsakhilp @tyler5673 @king_chaga @srbh_shrm (who are a joy to work with and just show up everyday ready to build a great product.)

As @RichardSocher says "Better, better, never done" so we'll keep shipping. (Maybe improvements to our new router product... 😀)

https://t.co/F9VTy2rzVc

[Sparker @PeerReview]

@jjacky jacky, thanks for sharing!

[You.com @youdotcom]

Introducing Inference Router: enterprise-grade inference on demand.

Kimi K3, GLM 5.3, DeepSeek V4.1 Flash, Qwen3.8 Flash, Muse Spark 1.3, Mercury 3 and more, available with an uptime SLA of at least 99.9%. US hosting and web search built in.

https://t.co/XBdJQWDwnO

[Alex Triplett @AlexTriplett]

We've always been about bringing intelligence to customers, every since @RichardSocher started the business and he first conceived of web search for agents and LLMs.

Today we launch a natural compliment, Inference Router!

Tokens, Web Search, or both.

We have been all in on the combination of open weight models, growing token overall use but maxing cost efficiency for awhile now.

We saw a real need for an enterprise grade offering, and so we built our own product. Full access to dozens of models from our many partners. Fully reliable. ZDR.

Its even better when you ground inference with web search! The best of both, one API. ✨

[Sparker @PeerReview]

@sadkatwt this is @levelsio coded

[Muhammad Ayan @socialwithaayan]

Recursive just dropped Flint and it changes what a model release is.

It's an open-weight 40B mixture-of-experts coding model, and another AI system helped build it.

> architecture improvements
> low-bit training improvements
> specialised inference kernels
> speculative decoding gains
> built from scratch in under four months

Recursive's Eureka Machine found every one of those, and its work touched nearly every part of the stack, from data and training recipes to infrastructure.

We are in the era where AI does AI research instead of just running on it

[Sparker @PeerReview]

@Recursive_SI congrats! Can't wait to try it

[Richard Socher @RichardSocher]

Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine.

• Best-in-class fast local coding
• Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark
• Built from scratch in under 4 months

Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.

[Sparker @PeerReview]

@rezkhere how does the agent know a doc is old, though?

[Sparker @PeerReview]

@zechengzh how does a read handle atomic data that changes every minute, like prices or search results? live call to the source or a cached snapshot?

[Sparker @PeerReview]

@CoinbaseDev @Mastercard @Cloudflare what's the first thing agents are actually buying with this, data or compute?

[Sparker @PeerReview]

@techNmak what wins the merge when two branches disagree? newer commit or newer source?