Demand for human data annotations is wild.
In the last few months, we've received inbound from 3 providers, all looking to tap our supply network for data labeling.
We never positioned ourselves that way, but we have the high-quality supply and already built the infrastructure for Terminal-Bench and SWE-bench tasks.
If you're building in human data services, let's connect.
They didn't pivot. They just noticed Scale AI, Mercor, and Surge AI were all using their platform to source PhDs and domain experts. So they went direct.
Human data annotations are absolutely wild right now.
@joinHandshake - a college jobs board, founded 2013 - had $5-10M in AI training revenue a year ago.
Today they're approaching $1B annualised.
@IvanLandabaso Awesome, thanks. By pure accident, I’m building a product in this space. I've also signed a first contract with a tier-2 lab. Would you mind if I dropped a few questions about the market in your DMs? I am looking to get more insight on this space.
In a recent batch talk, YC General Partner @t_blom broke down how to build a self-improving, AI-native company.
He walks through how to create recursive, self-improving AI loops, and why founders who get this right will run companies that improve while they sleep.
00:00 — Companies Are Roman Legions
00:54 — Copilots Are the Wrong Mental Model
01:55 — Extract the Domain Knowledge
02:24 — The Recursive Self-Improving Loop
04:12 — The Holy Shit Moment at YC
05:50 — Self-Optimizing Product and Support Loops
06:29 — Burn Tokens, Not Headcount
07:23 — Middle Management Is Over
08:05 — Make Everything Legible to AI
09:40 — Regenerating the YC User Manual
11:19 — Software Is Ephemeral, Context Is Valuable
12:18 — Where Humans Still Matter
How a final round interview wth Tony Xu (@t_xu) at DoorDash goes:
"I'm going to give you 20 minutes and you can ask me any question that you want. But after the 20 minutes expires, I'm going to give you $20 that you can use to go and acquire 100 customers for us, and you have eight hours to do so.
But here's also a plane ticket, in case you want to quit the interview now and just move on and find somewhere else to work.
So much of what we were trying to test for early on is someone who's going to do something to go and collect information, as opposed to someone who's going to collect data, scrape information from the internet and do some magical analysis on it.
What if none of that information existed? You have to go and do things in order to actually collect information."
Instead of watching an hour movie, watch this. In 14 minutes, an Anthropic engineer who wrote Building Effective Agents will teach you more about building agents right than most developers figure out on their own in months.
Jane Street AI Engineer revealed how they trained their own LLM for trading to make $22.5B/year
16 minutes. free. straight from tier-1 quants.
bookmark & watch - this is the most honest "AI inside a hedge fund" talk ever published.
forget the "AI trading bot" YouTube grifters. This is the real inside view: data, training, evals, integration.
then start building your own bot using post below.
🚨 A junior at Jane Street reportedly landed a $220K–$600K role because he used AI to analyze trillions of data points faster than most teams ever could.
In this 1-hour lecture, he breaks down the exact system behind it:
• how he researches massive datasets
• how AI finds patterns humans miss
• how his machine turns raw data into decisions
• how you can apply the same thinking yourself
Skip Netflix tonight.
Watch this instead.
One hour could completely change how you think about research, AI, and opportunity.
This 30-minute speech by the Head of Anthropic "Coding Agents" researcher will teach you more about vibe coding than 100 paid courses.
Bookmark it & give it 30 minutes today. This video will change the way you use AI forever,
In the new episode of Trustee Talks, host Danylo speaks with entrepreneur and product manager Pavlo Pedenko @graver_ua — former Wise employee, fintech infrastructure builder, and founder of the education platform Mathema.
We talk about what it really takes to build products at scale, how global fintech works from the inside, and what financial freedom actually means in 2026.
My friend @rozhevski just gave 408 out of 500 tickets for a Claude Code event in Ukraine. To everyone who donated to help AFU via @koloukraine
This is his opening slide. Gorgeous way to share knowledge and save lives
@numo_ai@claudeai
Today, March 12, 17:00 Kyiv time (UTC+2), don't miss your spot
We are hiring a Prompt Engineer.
We've spent 10 years mastering developer recruiting at scale. Now we're building something new.
Looking for someone who knows how to design voice or chat conversations.
DM if interested.
For those who claim that "it wasn’t a direct strike".
The rocket on the video was not hit by air defenses and was flying straight at the target, which is exactly the Ohmatdyt hospital below it.
🙏❤️ Fundraising for charity has always been challenging and demanded a lot of time and effort. @graver_ua (@Wise) will share his experience on how the Digital Age has brought all the tools we need to easily find new ways to support good causes.
#Tech#Techsylvania#Business