Excited to see ReactBench launch!
@parth4apple from @AfterQuery worked with the ReactBench team on the task approach, quality assurance, and blog review.
AfterQuery is quickly closing the gap on the
“giants.”
We’ve already grown multiples past the $100M revenue run rate cited here.
If you’re a post-training researcher or lab that needs long-horizon tasks, professional / knowledge work data, high-fidelity RL environments, code generation data, or internal evals done right, my DMs are open or reach out to us at research [at] afterquery [dot] com.
Every single startup selling AI Training Data (July 2026)
>50 cos sell data and RL environments to big AI labs and drive AI progress behind the scenes.
They total ~$8.5B in rev and ~$100B in valuation, >75% of which are just 4 players: Scale, Surge, Mercor and Handshake.
The @AfterQuery team is in Korea this week for ICML, but the best conversations didn’t happen in the conference halls. They happened around a chef’s table.
This week, we partnered with @altosvc to bring together researchers, founders, and investors for an evening of great food, drinks, and meaningful conversation.
More than 100 people joined us for the evening, with a special menu prepared by Culinary Class Wars Lim hee-won and cocktails from Zest, named Asia’s Best Bar in 2025.
Huge thank you to @altosvc for partnering with us, and to all the attendees who made the event special. We look forward to hosting more events in the future that bring the AI research community together.
Introducing @LM_Arcade - play, rank, and submit AI generated games. Supported by @AfterQuery.
Models generate games using several popular agentic harnesses. Since tools, agent loops, and scaffolding can meaningfully affect performance, we evaluate both the models and the harnesses rather than forcing every model into the same environment.
Current top 3 models: @AnthropicAI Claude Fable 5, @OpenAI GPT-5.5, @AnthropicAI Claude Opus 4.7
Top 3 harnesses: @AnthropicAI claude-code, @AfterQuery aq-gaming, @Princeton mini-swe-agent.
Blind voting: compare two game builds from the same prompt without knowing which model or harness created them. Vote for the one that’s more enjoyable and better matches the request.
Bradley-Terry ratings: every vote updates the leaderboard in real time.
Don't just read about performance. Determine it at lmarcade.com.
Congratulations to @nvidia on the release of Nemotron 3 Ultra!
Ultra now leads GDPval-AA by a good margin among US open source models. @AfterQuery is proud to have provided the GDPval training data used to hill climb the benchmark.
As corporate "tokenmaxxing" efforts struggle to generate meaningful enterprise value and model capabilities begin to commoditize at the frontier with cheaper open source options quickly approaching in the rearview mirror, @OpenAI and @AnthropicAI are scrambling to assemble FDE armies with strategic PE partners to solve the last mile enterprise problem and sustain their exponential revenue growth.
Read our full take on OpenAI’s DeployCo and Anthropic’s ServiceCo at afterquery.com/blog/deployco
@AfterQuery will be at ICLR next week!
We’ll be at booth 404. Happy to chat about anything related to tool use/agents, RL environments, code gen, or evals.
DM me if you wanna meet up!
AfterQuery post-trained GPT-OSS-20B using Harbor + Tinker and saw a 14% bump on TB2 performance.
Love seeing people pick up Harbor for more than just evals.
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