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Humayun ✓

@HMsheikh4 · United Kingdom · joined 10 Mar 2014

Pioneer in new distributed economy | Deep Tech Investor | Fetch.ai

28 227Followers
696Following
5 777Posts total
60.2KViews on collected posts

Posts recentes

LLMs can’t make it up and auditability is the key! 11.3K views · 176 likes · 24 reposts · 16 replies Open on X →
ASI:One is officially live on @ProductHunt 🚀 The future of AI belongs to systems that are useful and increasingly capable of helping users get things done. That is exactly the direction we have been building https://t.co/N2w9qm1qor towards - moving beyond passive AI, towards htt
8.9K views · 214 likes · 35 reposts · 15 replies Open on X →
Products don't scale because they are clever, they scale because people find them useful. It sounds obvious, but much of the AI market still misses the point. Average consumers want simplicity and value. They do not care about complexity behind the scene. That’s our core mission 12.7K views · 196 likes · 27 reposts · 12 replies Open on X →
@HMsheikh4 @Fetch_ai I’ll be clear and direct. The community expects the promises to be kept. As a manager, you’re nowhere to be seen. Is there no update on the stolen tokens or the burn process? You’re ruining this project. Soon, there won’t be any investors left who trust you. 606 views · 8 likes · 0 reposts · 0 replies Open on X →
@HMsheikh4 @Fetch_ai All thats left is some kinda mechanism that would benefit the token. A burn mechanism from each agent deployed for example. 581 views · 4 likes · 0 reposts · 0 replies Open on X →
@HMsheikh4 @Fetch_ai Burn the tokens 414 views · 8 likes · 0 reposts · 0 replies Open on X →
@Fetch_ai started because we believed AI would not stop at information. It would move to outcomes. That is where ASI:One comes in. Together with our expert team, we created an all-in-one search and discovery layer for 3M specialised agents built to act. Typical AI: “Here’s how 25.7K views · 463 likes · 67 reposts · 20 replies Open on X →
Recently I have been asked by many to explain what @Fetch_ai actually does so I thought I would do a series of threads in a very simple and understandable way. I don’t do very long threads so bear with me while I try this. 0 views · 1K likes · 237 reposts · 203 replies Open on X →

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

25.7K17 Apr
414
581
606
12.7K22 Apr
8.9K23 Apr
11.3K12 May

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

2.16%17 Apr
1.93%
0.69%
1.32%
1.85%22 Apr
2.98%23 Apr
1.91%12 May

Reactions — likes, reposts, replies and quotes — divided by views.

What the audience does

Likes81.6%1 069 in total
Reposts11.7%153 in total
Replies4.8%63 in total
Quotes0.5%7 in total
Bookmarks1.4%18 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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