Manos Koukoumidis ✓

@Koukoumidis

CEO @ https://t.co/FHoWf8TCnl

1 834Followers

98Following

260Posts total

2.2MViews on collected posts

Against accounts of the same size

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

Median views10 352this account7 156median for under 10K

Reach, %564.45%this account505.37%median for under 10K

Engagement, %0.68%this account1.06%median for under 10K

Metric	This account	Median for under 10K	Ratio
Median views per post	10 352	7 156	1.45×
Reach (views ÷ followers)	5.6× audience	5.1× audience	1.12×
Engagement rate	0.68%	1.06%	0.63×

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

1M11 Aug

10.4K

1.2M

4.6K

163

Last 5 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.10%11 Aug

0.68%

0.02%

1.35%

3.68%

Reactions — likes, reposts, replies and quotes — divided by views. Median for under 10K accounts is 1.06%.

What the audience does

Likes51.9%765 in total

Reposts11.9%176 in total

Replies8.6%126 in total

Quotes14.6%215 in total

Bookmarks13.0%191 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

@Koukoumidis 100% Agreed. A model that learns from your own production traffic is the first form of AI that behaves like an asset. It appreciates with use, while everything rented sits on the books as an expense. The software analogy is the strongest part of this: everyone writes 163 views · 5 likes · 1 reposts · 0 replies 11 Aug 2026 My prediction: 🔮 In a year, renting all of your intelligence from a frontier lab, or hiring someone else to build your proprietary AI for you, will look as strange as outsourcing all of your proprietary software. The frontier labs will build extraordinary general intelligence. 4.6K views · 57 likes · 2 reposts · 3 replies 11 Aug 2026 The AI strategic shift is not "build everything yourself." General frontier models will remain incredibly valuable. The rule for enterprise AI is: Consume what is generic. Build and own what differentiates you. Coding? Maybe rent it. General knowledge? Rent it. But 1.2M views · 168 likes · 3 reposts · 5 replies 11 Aug 2026 AI ownership alone isn’t enough. The bigger opportunity is compounding intelligence. Every production interaction creates something valuable: Failures. Edge cases. Corrections. Expert feedback. New proprietary data. Today, most of that experience disappears while the 10.4K views · 65 likes · 2 reposts · 3 replies 11 Aug 2026 Enterprise AI is in a wildly paradoxical state 🤔, and we’re reaching the inflection point that will resolve it. 💥 Enterprises want to differentiate with AI, yet rent the same intelligence as their competitors. Their workflows and expertise are highly specialized, yet they https 1M views · 470 likes · 168 reposts · 115 replies 11 Aug 2026