Applied research lab curating data solutions to accelerate foundation model development.
Joined February 2025
- Tweets 30
- Following 8
- Followers 1,546
- Likes 67
7 Photos and videos
Pinned Tweet
Apr 9
We're thrilled to announce our $30M Series A at a $300M valuation led by @altosvc, and that we’ve since surpassed $100M in annual revenue run rate.
For most of history, expertise was scarce, constrained by time and reach: one person, one career, one lifetime.
Now, for the first time, we can encode, evaluate, and scale it.
We believe the wisdom that once took a lifetime to build shouldn’t take a lifetime to find.
Today, we’re excited to announce that @AfterQuery has raised a $30M Series A at a $300M valuation and that we’ve since surpassed $100M in annual revenue run rate, to build the data layer of professional AI.
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Jun 12
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.
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Jun 11
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
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Jun 8
Blog: afterquery.com/blog/on-polic…
Interested in research or other roles at AfterQuery? Check this out! afterquery.com/careers
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AfterQuery retweeted
Apr 15
@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!
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AfterQuery retweeted
Mar 31
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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Mar 8
Mar 2
YC and @GoogleDeepMind are hosting the Multimodal Frontier Hackathon this Saturday.
Most AI apps still don't utilize the full multimodal stack. So we’re giving you access to Gemini 3.1, Lyria, & NanoBanana 2 to see what you can build!
Sign up at: events.ycombinator.com/deepm…
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Feb 12
Introducing IDE-Bench!
A multi-language, full-stack benchmark evaluating LLMs acting as autonomous IDE agents
IDE-Bench assesses agents' ability to navigate, reason, and modify complex repositories using the same tools available in modern AI-native IDEs like Cursor
Models tested from @AnthropicAI, @OpenAI, @Alibaba_Qwen, @GoogleDeepMind, @xai, @deepseek_ai, @Meta, and @cohere
Check out the full results at ide-bench.com!
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Feb 11
RT @spencermateega: Congrats to @ValsAI team for launching Finance Agent Benchmark v1.1!
Proud that @AfterQuery could contribute finance e…
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Jan 29
Introducing Market-Bench by @AfterQuery! The first-of-its-kind benchmark on LLMs for quantitative finance.
We challenged models to attempt a frequent introductory quantitative trading task: coding an executable backtester from a natural-language strategy description and market assumptions.
> 13 models build backtesting systems for directional, pair trading, and delta hedging strategies
> evaluated on reliability (executable passes) and accuracy (MAE) across 5 attempts per strategy
> real order book data with exchange delays and liquidity constraints
> @xAI’s Grok 4 achieved the overall lowest mean MAE (deviation from the golden backtest), followed closely by @OpenAI’s GPT 5.2
> @AnthropicAI's Sonnet 4.5 and @AlibabaGroup's Qwen 3 Max at perfect executability but high MAE
> Models from @Meta, @Amazon, @NVIDIA, and @Cohere continued to fail to produce executable backtesters
Leaderboard & full paper below!
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Jan 29
Our findings show that current models lack the ability to perform even the most basic tasks in high-impact, real-world domains like quantitative trading.
We hope Market-Bench can serve as a shared framework to evaluate models’ understanding of trading strategies and code generation for quantitative finance.
Excited to track how these capabilities evolve!
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AfterQuery retweeted
12 Dec 2025
How far can vibe coding actually go?
Introducing App-Bench by @AfterQuery, a benchmark for end-to-end web app development.
We tested 6 production web apps on 10 coding agents from @OpenAI, @GoogleDeepMind, @AnthropicAI, @cursor_ai, @budapp, @v0, @boltdotnew, @Replit, and @Lovable.
One shot generation. Zero human edits. 4,530 evaluations.
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AfterQuery retweeted
5 Nov 2025
Really excited to have contributed to this sick creative vision and brought the @AfterQuery website to life 😎😎
5 Nov 2025
Today, humanity is shackled by scarcity of expertise. When expertise becomes infinitely scalable, humans will be freed to tackle problems we can't even conceive of today.
Introducing @AfterQuery. We’re building a world where expertise is abundant.
Domain by domain, profession by profession, AfterQuery is crafting datasets that encode excellence into forms that machines can learn.
Data is the final frontier.
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5 Nov 2025
Today, humanity is shackled by scarcity of expertise. When expertise becomes infinitely scalable, humans will be freed to tackle problems we can't even conceive of today.
Introducing @AfterQuery. We’re building a world where expertise is abundant.
Domain by domain, profession by profession, AfterQuery is crafting datasets that encode excellence into forms that machines can learn.
Data is the final frontier.
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AfterQuery retweeted
17 Oct 2025
The frontier begets the frontier.
I highly recommend reading @jaminball's latest Clouded Judgement article which spells out the AfterQuery thesis
(thread)
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