Ethan Cole AI ✓

@ethancole_ai · joined 19 Jun 2024

💻 Turning AI into real systems ⚙️ Workflows, automation & execution 📈 Build once, scale forever 📩 DM or neuraagency.partners@proton.me

122 654Followers

179Following

37 455Posts total

328KViews on collected posts

Latest posts

Ethan Cole AI ✓@ethancole_ai18 Sep

40+ AI agents. One browser tab. Claude Code, Codex, OpenCode, Hermes, Pi and more without filling my laptop with another stack of installs. AgentSky is basically an app store for agents, except you can use them immediately. 10.7K views · 68 likes · 34 reposts · 0 replies Open on X →

Ethan Cole AI ✓@ethancole_ai17 Sep

The demo points toward something bigger than interactive video: a world with its own state, rules, agents, and consequences beyond any single observer. 7.9K views · 29 likes · 0 reposts · 0 replies Open on X →

Ethan Cole AI ✓@ethancole_ai17 Sep

5,200 tokens/sec sounds great, but context matters. K2-Horizon-7B-Uno reaches roughly 1.7× higher throughput at its largest supported batch size and 2.2× at batch size 1, without sacrificing quality. Those are much more useful numbers than a vague “up to X faster.” 9.4K views · 53 likes · 31 reposts · 5 replies Open on X →

Ethan Cole AI ✓@ethancole_ai17 Sep

Today’s LLMs still write like typewriters: one token at a time. This sequential process creates a hard inference bottleneck. We're introducing Uno, a diffusion-augmented LLM that delivers autoregressive quality at diffusion speed. It’s a lossless speedup method that accelerates

227.9K views · 1K likes · 178 reposts · 87 replies Open on X →

Ethan Cole AI ✓@ethancole_ai17 Sep

AI can write a great presentation in minutes. Then you somehow spend the next hour fixing layouts, branding, charts and templates. Templafy connecting directly with Claude fixes that last mile. Research and think in Claude → get a real, editable PowerPoint built around your 17.9K views · 113 likes · 35 reposts · 10 replies Open on X →

Ethan Cole AI ✓@ethancole_ai17 Sep

The biggest gap I see in AI writing today isn't quality. It's appropriateness. A response can be perfectly written and still be wrong for the person receiving it. Tonebird is interesting because it treats tone and context as part of the problem, not as an afterthought. 54.1K views · 41 likes · 5 reposts · 5 replies Open on X →

Against accounts of the same size

6 posts from the last 90 days, next to the 100K–1M follower range. shown to more people than peers of the same size.

Median views14 312this account6 510median for 100K–1M

Reach, %11.67%this account1.64%median for 100K–1M

Engagement, %0.75%this account0.97%median for 100K–1M

Metric	This account	Median for 100K–1M	Ratio
Median views per post	14 312	6 510	2.20×
Reach (views ÷ followers)	11.67%	1.64%	7.11×
Engagement rate	0.75%	0.97%	0.78×

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

54.1K17 Sep

17.9K

227.9K

9.4K

7.9K

10.7K18 Sep

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.09%17 Sep

0.88%

0.63%

0.94%

0.37%

0.96%18 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.97%.

What the audience does

Likes47.7%1 329 in total

Reposts10.2%283 in total

Replies3.8%107 in total

Quotes5.0%140 in total

Bookmarks33.2%925 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

Against accounts of the same size

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Similar accounts