Sonya Huang 🐥 ✓

@sonyatweetybird · Palo Alto, CA · joined 07 Aug 2017

funding big computer @sequoia

29 234Followers

1 698Following

1 554Posts total

506.1KViews on collected posts

Latest posts

Sonya Huang 🐥 ✓@sonyatweetybird3 Sep

Congrats @ClementDelangue @Thom_Wolf!!!!!!!! Big day for sovereign ai. excited to see open weight models, open science, (and most importantly, micro ducks) find their forever home 🤗🦆 4.9K views · 56 likes · 0 reposts · 4 replies Open on X →

Sonya Huang 🐥 ✓@sonyatweetybird1 Sep

lmao. meanwhile doug, taking the team to his favorite restaurant in the world in portofino, grinning ear to ear: hyper competitive with a heart of gold. that’s @dougleone ☺️ https://t.co/GYJjTYL4hZ 98.2K views · 341 likes · 4 reposts · 20 replies Open on X →

Sonya Huang 🐥 ✓@sonyatweetybird31 Aug

POV: you’re interviewing at Sequoia https://t.co/XrXUmuCWyB 144.5K views · 1.8K likes · 68 reposts · 17 replies Open on X →

Sonya Huang 🐥 ✓@sonyatweetybird29 Aug

the Next Big Thing in consumer just landed. congrats @fal on both the tech and the product creativity to unleash it. 34.4K views · 187 likes · 3 reposts · 11 replies Open on X →

Sonya Huang 🐥 ✓@sonyatweetybird27 Aug

Jevons Paradox in action: not only for cost, but speed. When it costs 20s instead of 10m to make a good video, the set of possibilities expands dramatically. 14.8K views · 98 likes · 4 reposts · 5 replies Open on X →

Sonya Huang 🐥 ✓@sonyatweetybird26 Aug

@fal @MiniMax_AI Here is a side-by-side comparison M3 Max by @fal - generation time: 23.7s Flux 3 Video by @bfl_ai - generation time: 10m 55s https://t.co/XdK2ZZsFwq 31K views · 138 likes · 8 reposts · 7 replies Open on X →

Sonya Huang 🐥 ✓@sonyatweetybird14 Jan

It’s time to ride the long-horizon agent exponential. Today, your agents can work reliably for ~30m. But they’ll be able to perform a day’s worth of work soon – and a century’s worth of work eventually. What will you build, when your plans are measured in centuries? 178.4K views · 328 likes · 32 reposts · 28 replies Open on X →

Against accounts of the same size

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

Median views32 666this account924median for 10K–100K

Reach, %111.74%this account3.62%median for 10K–100K

Engagement, %0.66%this account1.52%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	32 666	924	35.4×
Reach (views ÷ followers)	111.74%	3.62%	30.9×
Engagement rate	0.66%	1.52%	0.43×

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

178.4K14 Jan

31K26 Aug

14.8K27 Aug

34.4K29 Aug

144.5K31 Aug

98.2K1 Sep

4.9K3 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

0.22%14 Jan

0.50%26 Aug

0.72%27 Aug

0.59%29 Aug

1.30%31 Aug

0.37%1 Sep

1.22%3 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes81.4%2 939 in total

Reposts3.3%119 in total

Replies2.5%92 in total

Quotes0.4%14 in total

Bookmarks12.3%445 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.