Devansh

@tim_yakubson STACK

I finally cancelled my Clay subscription. (And before the "how do you live" comments start: I’m officially on the Free Plan now. Screenshot attached.) I haven’t stopped using it. I just stopped paying for it. A year ago, this wouldn’t make sense. Now? Claude Code can handle a big chunk of what people were using Clay for. → Lead sourcing → Enrichment → Filtering → Basic workflows All doable without paying for Clay. Which raises a slightly uncomfortable question: How many people are paying for Clay… out of habit? And not necessity. Because if you’re running things yourself… You probably don’t need a paid plan anymore. You can offload way more than you’d expect. Things like: → lead sourcing, enrichment & qualification → personalization of messages → campaign top-ups into your sequencer of choice Which means you’re not burning credits on every step. That said… This doesn’t mean Clay is “dead”. It just means the role is changing. Something that I Slacked Mohamed Chahin about this weekend. So, I recorded a video explaining: → what the tech stack for 2026 looks like → where Clay can be replaced by Claude Code → where Clay cannot be replaced → how to decide if you need to explore the new tools like Claude Code This is exactly how I’m running things right now. If you want in: Comment “STACK” and I’ll send it over.

@mike_drip Can’t wait to see em in the batch

This kid is number one in clash of clans can't wait to see him in y combinator

@imrohan335 @neo looking good boss 🔥🔥

beach day with the @neo fam

@CarlosGeorgescu @gustaf 🙌🙌🙌

AfterQuery just raised our Series A. $30M at $300M valuation to be the software-first data provider for all the foundational labs. Our founding engineering team comes from DoorDash, Palantir, Amazon, LinkedIn, and Bloomberg. We’re hiring exceptional engineers!

@cstiker05 @JetJadeja @spencermateega Absolute legend

1 year ago ago today, I cold DMed @spencermateega on LinkedIn and got a 2-week work trial at a little seed-stage startup in SF that was AQ week 3. we're now worth $300,000,000 and are a trusted partner to every frontier AI lab. couldn't be prouder. we're hiring everywhere - DM!

@spencermateega To the moon 🚀

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.

@AfterQuery 🙌🙌

@robj3d3 Let’s goooo @medhansh

This 18 year old literally has 12 $200 Codex plans. Here's exactly how he organizes them to build 100x faster: (we're cooked)

@cory YC startup, would love to join!

interning in Silicon Valley this summer? there's a Silicon Valley Intern discord group to help with events, housing, etc. @ reply below (maybe with where you're interning) and I'll send you think link

@KrishivThakuria @mlg27_ Crazy list 🔥

Announcing Wave 1 of presenters at the Toronto Demo Night this Sunday (limited RSVP spots left) 1/6) Michael Goldstein is a 14-year-old from Toronto who went viral (millions of views) for multiple of his AI products On Sunday, Michael will demo Kodo: prompt to editable design

I am so excited to announce our inaugural EF North America Investment Fellows!! 🎉 For over a decade, EF has built its model around identifying trajectory before there is proof. As we expand in North America, this fellowship is a commitment to operationalizing and scaling what we have always believed: that finding exceptional talent early changes everything.

@alexolim_ GUIDE

We helped an AI fashion app get over 400,000 downloads with organic content. And I put together a 27 page guide explaining EXACTLY how we did it. Want it? 1. Like this post 2. Comment “GUIDE” And I’ll send it to you for free. (must be following so I can DM)

@spencermateega @CarlosGeorgescu 🔥🔥

365 days ago, we walked away from $850K to move to SF with nothing. @CarlosGeorgescu , Danny Tang, and I left behind stable post-grad jobs in quant trading, investment banking, and big tech with zero revenue and no direction. We crammed into a 2-bedroom apartment in Dogpatch, SF and turned the kitchen into our office. The first product we built was agents to automate professional services work. Carlos engineered an agentic system that processed firm-specific context. Danny and I secured pilots, but the product simply wasn't good enough. The agent hallucinated, nuance was missing, and the final responses were incorrect. No amount of prompt engineering could fix the underlying accuracy issues, and fine-tuning to reach acceptable accuracy would cost millions of dollars. This was the foundation of @AfterQuery: to encode professional knowledge into a form that models can learn from, teaching them to reach the same accuracy as experts. Everyone told us, "You're too late. AI labs already have Scale AI. If your data is that good, you should just train your own model." As of January 5th, 2026, AfterQuery generates millions in revenue per month. The AfterFamily has grown from Danny, Carlos, and me to over 30 of the most talented people I know. We now provide frontier training data to every US-based frontier AI lab and the world's largest technology companies. The consensus was wrong. The labs didn't need another human data company--they needed a researcher partner who could identify real-world model failures, build evals to prove these gaps exist, and create training data to fix them. In 2025, we were three hungry kids working from a kitchen table. In 2026, our kitchen table is a 7,500 square foot office and we're not slowing down.

@spencermateega @AfterQuery Real code wins

To replace the software engineer, models must be trained on real-world code. The purest source is codebases written by real engineers, building real products iteratively, under real product and business constraints. @AfterQuery is buying startup codebases and transforming them into reinforcement learning environments, tasks, and rewards for foundation model training. To make AI actually capable of production automation, data must reflect entire workflows: feature implementations, debugging, and codebase refactoring. Thanks to @steph_palazzolo and the team at @TheInformation for covering our work. If you’re a researcher working on code generation, post-training, or RL for software engineering, I’d love to chat.

@julesgambit Popped up on my feed. Prime example of you can just do things. Claremont will be lucky to have you

I got waitlisted for my dream university so I flew there, walked into the admissions office and was like “you should let me in here’s why.” I was accepted a day later.

@spencermateega Inevitable and happening faster than people think.

Redefining the future of work is inevitable. Economic singularity is inevitable. We're creating a future where technology completely reshapes the economy. Today, professional expertise is scarce. A company can only hire so many 10x engineers. This scarcity creates economic inefficiency – not because work is impossible, but because there aren't enough experts to work. Now imagine a world where expertise is abundant. Where every startup has access to partner-level legal counsel at near-zero cost. Where every patient has access to Mayo Clinic-level diagnosis at the tip of their fingers. We need a bridge between the current age of impressive but impractical AI and the coming age of professional automation. We need to turn foundation models from brilliant generalists into domain-specific experts. In a few years, the question won't be whether AI can do professional work. It will be whether any professional work requires humans. When expertise becomes infinitely scalable, human judgment becomes infinitely valuable. When basic professional tasks are automated, humans are freed to tackle problems we can't even conceive of today. The company that successfully captures and encodes professional knowledge will reshape the economy. That company is @AfterQuery.