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echen ✓

@echen · Surge AI · joined 21 Aug 2009

founder @HelloSurgeAI // raising AGI

14 111Followers
573Following
168Posts total
134KViews on collected posts

Derniers posts

An intern knows how to write code. A staff engineer knows how to make it *shippable*. We post-trained kimi k2.7 and that’s basically what changed. Before RLing, kimi k2.7 was failing in the last mile: dropping requirements, writing narrow tests, creating regressions After RL h
2.8K views · 26 likes · 3 reposts · 4 replies Open on X →
@ArtificialAnlys just added GDP.pdf to their Intelligence Index. Which means their definition of intelligence now includes something deceptively simple: can models understand the documents you deal with on a normal Tuesday at work? Leases, invoices, dosage tables, and financial
2.2K views · 19 likes · 2 reposts · 3 replies Open on X →
leaked audio from an evals offsite https://t.co/06yeneBG0f
2:08
3.9K views · 42 likes · 6 reposts · 3 replies Open on X →
taste isn't a reasoning problem. you can't rubric your way from "correct" to "great." great writing, design, even great science - all of it depends on judgment, values, and knowing what *not* to do. one of the scary things about AI is that models are going to eventually learn 1.3K views · 23 likes · 0 reposts · 2 replies Open on X →
echen ✓@echen
@echen @theinformation Total coincidence https://t.co/dBV5NI12lI
1.9K views · 27 likes · 0 reposts · 0 replies Open on X →
echen ✓@echen
@echen @theinformation Tuff 3.3K views · 14 likes · 0 reposts · 0 replies Open on X →
echen ✓@echen
@echen @theinformation https://t.co/aWZHeew8EP 4.3K views · 4 likes · 0 reposts · 0 replies Open on X →
echen ✓@echen
love this table from @theinformation https://t.co/teVmxH0FQr
84.4K views · 817 likes · 32 reposts · 27 replies Open on X →
echen ✓@echen
"We all know about Scale and its epic $14B investment from Meta. But what about @HelloSurgeAI 'quietly' doing $1B+ ARR in same space -- with zero VC fundraising??" https://t.co/W8Nai8szbm
1:45
29.9K views · 95 likes · 7 reposts · 18 replies Open on X →

Face aux comptes de taille comparable

4 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. diffusé à plus de monde que les comptes de taille comparable.

Vues médianes2 499ce compte924médiane pour 10K–100K
Portée, %17.71%ce compte3.62%médiane pour 10K–100K
Engagement, %1.23%ce compte1.52%médiane pour 10K–100K
IndicateurCe compteMédiane pour 10K–100KRapport
Vues médianes par post2 4999242.70×
Portée (vues ÷ abonnés)17.71%3.62%4.89×
Taux d'engagement1.23%1.52%0.81×

Autres comptes de cette tranche →   Comparer avec un autre compte →   Comment ces repères sont établis →

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

29.9K3 Jul
84.4K5 Jul
4.3K6 Jul
3.3K
1.9K
1.3K25 Aug
3.9K4 Sep
2.2K5 Sep
2.8K11 Sep

Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.40%3 Jul
1.04%5 Jul
0.09%6 Jul
0.42%
1.46%
1.99%25 Aug
1.29%4 Sep
1.11%5 Sep
1.16%11 Sep

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

What the audience does

Likes75.8%1 067 in total
Reposts3.6%50 in total
Replies4.1%57 in total
Bookmarks16.6%233 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.

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