AlphaSignal ✓

@AlphaSignalAI · Build your feed · joined 16 Feb 2010

We help you track, rank, and understand the entire AI industry in real time. Used by 300,000+ developers. 5-min daily AI digest: https://t.co/ZGatS9i5eD

16 563Followers

340Following

1 328Posts total

717KViews on collected posts

Against accounts of the same size

7 posts from the last 90 days, next to the 10K–100K follower range. ordinary reach for its size, weaker reaction than most.

Median views721this account1 266median for 10K–100K

Reach, %4.35%this account3.99%median for 10K–100K

Engagement, %0.91%this account1.98%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	721	1 266	0.57×
Reach (views ÷ followers)	4.35%	3.99%	1.09×
Engagement rate	0.91%	1.98%	0.46×

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

481.2K18 Jul

227.1K

6.1K

7211 Sep

6622 Sep

5323 Sep

578

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

0.27%18 Jul

0.99%

0.47%

1.11%1 Sep

0.91%2 Sep

0.00%3 Sep

1.21%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.98%.

What the audience does

Likes75.8%2 913 in total

Reposts5.6%214 in total

Replies11.0%423 in total

Quotes1.4%55 in total

Bookmarks6.2%239 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

Your 5-minute cache is already dead when you sit down. API models don't keep the thread. Every turn resends the whole history. A one-token tool result still pays that whole history. On Opus 5, 1 million uncached tokens are $5. A hit is $0.50. Cache-hit discounts are https://t. 578 views · 4 likes · 0 reposts · 2 replies 03 Sep 2026 AI agents can write the code, but can they tell when they broke something? We’re hosting Vilhelm von Ehrenheim, Co-founder & Chief AI Officer at @getqatech, for a technical deep dive into the missing half of agentic development: verification. Register → https://t.co/x29Lg7U 532 views · 0 likes · 0 reposts · 0 replies 03 Sep 2026 Agent frameworks keep changing because tool calling never solved the runtime. A tool schema tells the model how to call one function. It does not decide who owns the loop, where state lives, what counts as done, or how recovery works. @NVIDIAAI's NOOA takes a different https:/ 662 views · 2 likes · 0 reposts · 3 replies 02 Sep 2026 A moderation model can read your policy, react to it, and still enforce it incorrectly. Tested @MistralAI's 3B Shieldstral on 124 policy decisions. The model clearly responds to runtime rules. Every unfamiliar-policy match scored above its unrelated control. But the failures h 721 views · 5 likes · 0 reposts · 2 replies 01 Sep 2026 What our test is (and is not): We run a coding-agent repair harness (Signaldesk), not a frontend board and not Kimi Code. > 13 planted-bug tasks · 7 models · same rules for all > Network-off Docker sandboxes > Held-out tests only at scoring > Pass = visible + 6.1K views · 26 likes · 1 reposts · 2 replies 18 Jul 2026 @AlphaSignalAI Interesting 227.1K views · 1.9K likes · 104 reposts · 272 replies 18 Jul 2026 Kimi K3 is getting called Fable/Sol level, and it's 7th in our tests. Arena Frontend Code: #1 at 1679 points. Artificial Analysis: #3 at Intelligence Index of 57. We ran it the next day on our coding-agent repair harness against GPT-5.6 Sol, Fable 5, Grok 4.5, Opus 4.8, https 481.2K views · 1K likes · 109 reposts · 142 replies 18 Jul 2026