Daniel He

191 posts

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Daniel He

Daniel He

@danyulzz

marketplace lead @mercor_ai / prev founder @rizz_ai (acq) @whiteboardai

Katılım Kasım 2021
139 Takip Edilen391 Takipçiler
Hailey Kim
Hailey Kim@haileyinsf·
doordash 5spice chicken rice from Perilla and you’ll never be able to eat regular chicken and rice again
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Daniel He
Daniel He@danyulzz·
I am A machine That turns Unstructured. Data Into. A c t I o n a b l e B U S I Ness I n si. G h ts
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Daniel He
Daniel He@danyulzz·
You don ’t ne e d to o w n the cow Yo u need to own the m i l k p i. p e line.
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Amrutha Rao
Amrutha Rao@amrutha_rao_·
We’ll build anything for you in the next 36 hours only. Highest bid wins. Forbes 30u30 founder + Informatics Olympiad perfect scorer + $1.3M ARR builder + Columbia and Harvard’s highest-signal builders. DMs open.
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hannah
hannah@hannahgao·
painting final project! though def rushed for finals week/deadline (rip), hoping to go back and work on it more later. as they say, a painting is never finished :)
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Daniel He
Daniel He@danyulzz·
this and claude code
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Cailyn Y.
Cailyn Y.@cailynyongyong·
intoducing momo - a web app that automatically shows what teams are working on everyday. it's the day after launch and everything's burning to the ground. so you go to momo. build your company memory right now @getyourmomo
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Daniel He
Daniel He@danyulzz·
@BrendanFoody Incredible to finally see Agents doing real world valuable tasks
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Michelle Fang 🌁
Michelle Fang 🌁@michelleefang·
if you're vibe coding or building over the holidays, i want to gift one of you a 6 month subscription of claude pro to support <3 just drop a comment below. merry christmas!
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Daniel He retweetledi
Mercor
Mercor@mercor_ai·
We’ve doubled the size of APEX, our benchmark for measuring whether frontier models can perform economically valuable work across four jobs: investment banking associate, management consultant, big law associate, and primary care physician (MD). The new APEX leaderboard shows: - @OpenAI GPT-5 remains the best performing model with a score of 67% overall. It beats out 5.1. - @AnthropicAI Claude Opus 4.5 has one of the largest jumps, improving nearly 12 points over Opus 4.1. - @Google Gemini 3 shoots up to second.
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Daniel He
Daniel He@danyulzz·
0.0001% of 100B post-agi economy roles created onwards
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Peter Fenton
Peter Fenton@peterfenton·
Lord Kelvin said it best : “When you can measure what you are speaking about, and express it in numbers, you know something about it; but when you cannot measure it, when you cannot express it in numbers, your knowledge is of a meagre and unsatisfactory kind.” Congrats to @BrendanFoody and @mercor_ai on delivering this for AI models
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Bill Gurley
Bill Gurley@bgurley·
If you are interested in knowing in which industries AI is most successful in understanding (& which models), you should pay close attention to the APEX. More below.
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Brendan (can/do)
Brendan (can/do)@BrendanFoody·
After years of watching Lenny's podcast, it was incredible to do an episode together. The entire economy is becoming an RL environment machine and catalyzing Mercor's unprecedented growth.
Lenny Rachitsky@lennysan

How a 22-year-old dyslexic dropout created the fastest revenue-growing business in history—$1M to $500M in just 17 months. @BrendanFoody discovered that AI labs were facing a critical bottleneck: they needed human experts to create "evals"—tests that teach models what correct looks like. His company @mercor_ai began connecting labs with lawyers, doctors, engineers, and other specialists to create evals and training data for models (for $95-500/hour). Today, @mercor_ai works with 6 of the Magnificent 7, all top 5 AI labs, has never had a customer churn, and has a net revenue retention of 1,600%. In my conversation with Brendan, we discuss: 🔸 Why evals have become the primary bottleneck for AI progress 🔸 How exactly Mercor grew to $500M revenue in 17 months 🔸 Brendan’s meeting with xAI that changed his company’s trajectory 🔸 Which skills and jobs will be most valuable as AI continues to advance (hint: jobs with “elastic” demand) 🔸 Why Brendan believes AGI and superintelligence are not happening anytime soon 🔸 The three unique core values that drove Mercor’s success 🔸 How Harvard Lampoon writers are making Claude funnier Listen now 👇 • YouTube: youtu.be/ja6fWTDPQl4 • Spotify: open.spotify.com/episode/3whvAE… • Apple: podcasts.apple.com/us/podcast/why… Thank you to our wonderful sponsors for supporting the podcast: 🏆 @WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: workos.com/lenny 🏆 @Jira Product Discovery—Atlassian's new prioritization and roadmapping tool built for product teams: atlassian.com/lenny 🏆 @enterpret_ai—Transform customer feedback into product growth: enterpret.com/lenny

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Peter Fenton
Peter Fenton@peterfenton·
@mercor_ai just broke every growth record in @benchmark’s history. Their team defines entrepreneurial brilliance, perfectly leveraging the biggest labor transformation of our lifetime
Brendan (can/do)@BrendanFoody

Mercor (@mercor_ai) scaled from $1-500M in revenue run rate in the last 17 months, making us the fastest growing company of all time. Our growth is accelerating. We averaged 11% week over week growth in July, 18% WoW growth in August, and 19% WoW growth in September. One trend driving this meteoric growth: the Economy is Becoming an RL Environment Machine. Reinforcement learning is becoming so effective that agents can hillclimb any benchmark, but humans need to define the rewards to automate everything. While everyone fears job loss, we’re creating a new category of knowledge work faster than any other time in history. The future of work will converge on training agents. We're paying out over $1M / day to people in our marketplace and hiring experts rapidly across nearly every domain: software engineers, doctors, lawyers, consultants, bankers, and many more.

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Brendan (can/do)
Brendan (can/do)@BrendanFoody·
Mercor (@mercor_ai) scaled from $1-500M in revenue run rate in the last 17 months, making us the fastest growing company of all time. Our growth is accelerating. We averaged 11% week over week growth in July, 18% WoW growth in August, and 19% WoW growth in September. One trend driving this meteoric growth: the Economy is Becoming an RL Environment Machine. Reinforcement learning is becoming so effective that agents can hillclimb any benchmark, but humans need to define the rewards to automate everything. While everyone fears job loss, we’re creating a new category of knowledge work faster than any other time in history. The future of work will converge on training agents. We're paying out over $1M / day to people in our marketplace and hiring experts rapidly across nearly every domain: software engineers, doctors, lawyers, consultants, bankers, and many more.
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