Intuition 👁️

@0xIntuition · The Metaverse · joined 03 Feb 2022

The world's first token-curated decentralized knowledge graph & native blockchain for InfoFi - unlocking the next generation of the internet. Powered by $TRUST.

154 130Followers

396Following

4 692Posts total

15.3KViews on collected posts

Against accounts of the same size

8 posts from the last 90 days, next to the 100K–1M follower range. right around the median for its follower range.

Median views2 682this account4 283median for 100K–1M

Reach, %1.74%this account1.68%median for 100K–1M

Engagement, %1.73%this account1.40%median for 100K–1M

Metric	This account	Median for 100K–1M	Ratio
Median views per post	2 682	4 283	0.63×
Reach (views ÷ followers)	1.74%	1.68%	1.04×
Engagement rate	1.73%	1.40%	1.24×

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

3.1K1 Sep

3.1K2 Sep

2.7K3 Sep

3.6K

314 Sep

2.7K

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

2.06%1 Sep

1.82%2 Sep

1.64%3 Sep

1.54%

4.55%

3.39%

0.00%4 Sep

1.50%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.40%.

What the audience does

Likes71.9%197 in total

Reposts15.0%41 in total

Replies8.8%24 in total

Quotes0.4%1 in total

Bookmarks4.0%11 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

Keynes described a market where you win by guessing what others will find attractive, whatever you actually value. He meant stocks. He predicted the feed. Attention converges on what everyone thinks everyone likes. Conviction asks a different question: what will you back? 👁️ 2.7K views · 30 likes · 8 reposts · 2 replies 04 Sep 2026 · Open on X →

@0xIntuition Intuition is the answer… bringing $TRUST to the process 31 views · 0 likes · 0 reposts · 0 replies 04 Sep 2026 · Open on X →

@0xIntuition That’s why it’s decentralized 59 views · 1 likes · 0 reposts · 1 replies 03 Sep 2026 · Open on X →

@0xIntuition Intuition gives agents better signals for what to trust, before they act! 👁️ 22 views · 1 likes · 0 reposts · 0 replies 03 Sep 2026 · Open on X →

Intuition is designed to solve a MAJOR part of this problem. Our Decentralized Knowledge does not get agents to a 0% failure probability, but where Intuition matters is deciding what information an agent should trust before any execution occurs. For consumers; the most 3.6K views · 39 likes · 11 reposts · 5 replies 03 Sep 2026 · Open on X →

@VitalikButerin framed information finance as an answer to one question: whom to trust. Volume tells you who is loud. Timing tells you who was early. The graph tells you who holds up, in public, with receipts. 👁️ 2.7K views · 34 likes · 4 reposts · 6 replies 03 Sep 2026 · Open on X →

Markets discover prices in minutes. Reputations take years, and so far they have lived nowhere: scattered across old posts, deleted takes, and memory. A timestamped record of positions turns judgment into an asset. However a position ages, it stays. 👁️ 3.1K views · 43 likes · 9 reposts · 4 replies 02 Sep 2026 · Open on X →

Prediction markets earn another round of respect every cycle, and deserve it. The harder frontier sits downstream of every result: which analysis held up, who called it early, whose judgment compounds. Settlement is a luxury most questions never get. 👁️ 3.1K views · 49 likes · 9 reposts · 6 replies 01 Sep 2026 · Open on X →