Brendan (can/do) ✓

@BrendanFoody · San Francisco, CA · joined 10 Mar 2020

ceo @mercor | organizing human intelligence

26 489Followers

537Following

742Posts total

467.5KViews on collected posts

Against accounts of the same size

7 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views56 732this account3 137median for 10K–100K

Reach, %214.17%this account10.26%median for 10K–100K

Engagement, %1.00%this account1.47%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	56 732	3 137	18.1×
Reach (views ÷ followers)	2.1× audience	10.26%	20.9×
Engagement rate	1.00%	1.47%	0.68×

Others in this range → Compare with another account → How these benchmarks are built →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

143.3K6 Jun

14.6K30 Aug

95.3K1 Sep

140.5K

56.7K

16.3K2 Sep

8413 Sep

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.36%6 Jun

1.65%30 Aug

0.65%1 Sep

0.64%

1.27%

1.00%2 Sep

1.07%3 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.47%.

What the audience does

Likes68.0%2 788 in total

Reposts4.9%199 in total

Replies3.3%136 in total

Quotes1.1%46 in total

Bookmarks22.7%932 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Latest posts

I wonder what Neocloud's gross margins would be if the GPUs in COGS were based on today's compute prices 841 views · 9 likes · 0 reposts · 0 replies 03 Sep 2026 I couldn’t be more excited to work with @edwardjhu As the creator of LoRA (fine-tuning) and a core contributor to o1 at OpenAI, few people have Edward’s combination of technical depth and vision. Our research team is shaping how human intelligence will power the AI economy, 16.3K views · 149 likes · 3 reposts · 8 replies 02 Sep 2026 Post-training is becoming more accessible by the day. We're open-sourcing our post-training recipes and the end-to-end process. Every enterprise will soon post-train its own models. 56.7K views · 672 likes · 31 reposts · 16 replies 01 Sep 2026 How does one RL post-train a 397B model for long-horizon knowledge work? 👩‍💼 We share every step we took to bring Qwen 3.5 397B from 16.1% Pass@1 to 27.3% on APEX-Agents using DPPO, including final models weights and the full training script🚀 This is the first of many works from 140.5K views · 754 likes · 112 reposts · 17 replies 01 Sep 2026 I am joining Mercor to lead model training & research. We envision a world with an abundance of intelligence. Great data is increasingly the bottleneck for frontier models to tackle economically valuable work. We believe great data can is best produced in connection with gre 95.3K views · 553 likes · 18 reposts · 36 replies 01 Sep 2026 Creating data to train AI will be the last human job. It’s more efficient to train an agent (or a robot) to do something than it is to complete repetitive tasks. This sounds dystopian, but it will free people to work on what they want to work on and accelerate abundance. The 14.6K views · 202 likes · 9 reposts · 29 replies 30 Aug 2026 AI progress requires (1) compute, (2) algorithms, and (3) data. - The leading compute company is worth $5 trillion. - The leading model company is worth $1 trillion. - @mercor is the leading data company and is currently valued orders of magnitude lower. There's an 143.3K views · 449 likes · 26 reposts · 30 replies 06 Jun 2026