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Guanlan Dai ✓

@guanlan

Building @Runta, the execution layer that controls what AI agents can actually do. Prev @Cloudflare and @Kong.

5 908Followers
480Following
343Posts total
74.1KViews on collected posts

Derniers posts

v1.0 focused on software engineering and terminal tasks. Next we will test the full harness × model grid. Much of what we observed points to harness-model fit rather than harness quality, and we want to identify which combinations maximize pass rates while minimizing cost. 17.9K views · 109 likes · 3 reposts · 16 replies Open on X →
Something we learned: With implicit prefix caching, running a task once during debugging leaves it warm for hours. Test a harness on Tuesday, benchmark it Wednesday, and it shows up cheaper than it should. Nothing in the logs tells you why. So no benchmark task was touched http 15.9K views · 53 likes · 0 reposts · 4 replies Open on X →
If you just want to know what to use: Codex if you don't want to think about it. Best pass rate, medium cost. Pi if the same job runs a thousand times and the bill adds up. Exo if retries are cheap and you'd rather it quit early than grind. DSH if you care about wall-clock and h 18.1K views · 130 likes · 7 reposts · 4 replies Open on X →
Here is the run that made us write this up. One of the hardest tasks, the pass rate (all model efforts) on DeepSWE is 38%, Pi and Claude Code both fixed it. Pi took 90 turns and $2.50. Claude Code took 381 turns and $64.36. Roughly 26x more for the same fix. https://t.co/VCX37w 22.1K views · 145 likes · 6 reposts · 9 replies Open on X →

Face aux comptes de taille comparable

4 posts des 90 derniers jours, à côté de la tranche de under 10K abonnés. portée ordinaire pour sa taille, réaction plus faible que la moyenne.

Vues médianes18 006ce compte4 175médiane pour under 10K
Portée, %304.76%ce compte250.82%médiane pour under 10K
Engagement, %0.74%ce compte1.41%médiane pour under 10K
IndicateurCe compteMédiane pour under 10KRapport
Vues médianes par post18 0064 1754.31×
Portée (vues ÷ abonnés)3.0× audience2.5× audience1.22×
Taux d'engagement0.74%1.41%0.52×

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

22.1K2 Sep
18.1K
15.9K
17.9K

Last 4 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.74%2 Sep
0.78%
0.36%
0.73%

Reactions — likes, reposts, replies and quotes — divided by views. Median for under 10K accounts is 1.41%.

What the audience does

Likes64.7%437 in total
Reposts2.4%16 in total
Replies4.9%33 in total
Quotes1.2%8 in total
Bookmarks26.8%181 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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