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 706Posts total

57.5KViews on collected posts

Derniers posts

Intuition 👁️@0xIntuition10 Sep

New Featured Lists just landed on Portal 👁️ Which products do people stand behind? Which projects deserve more attention? And what should CT never forget? Instead of a ranking decided by one person, Featured Lists evolve as people contribute and help shape what rises to the top

5.2K views · 63 likes · 19 reposts · 16 replies Open on X →

Intuition 👁️@0xIntuition10 Sep

Join @h0xrus from the Intuition team on today's HOL x AI, LIVE NOW, hosted by @itsbrandond and @filhetu. ERC-8004, agent trust and the work we're doing with @HashgraphOnline on open standards for AI agents. 👁 5.4K views · 61 likes · 16 reposts · 5 replies Open on X →

Intuition 👁️@0xIntuition10 Sep

HOL x AI https://t.co/601YCVuZEI 7.4K views · 26 likes · 6 reposts · 1 replies Open on X →

Intuition 👁️@0xIntuition9 Sep

Season 2 update: Where we are, what’s changing, and most importantly, why you should get involved! Behind the scenes, we’ve been heads down building our flagship app — and it’s getting increasingly hard to keep our excitement contained. In the meantime, here’s how you can start 6.5K views · 61 likes · 18 reposts · 8 replies Open on X →

Intuition 👁️@0xIntuition9 Sep

https://t.co/JKhMw4ILEF 10.9K views · 90 likes · 31 reposts · 13 replies Open on X →

Intuition 👁️@0xIntuition8 Sep

Roughly 1,500 agents are reading and writing the graph right now. An agent cannot weigh a source on vibes. It needs structure: who claimed it, who backed it, what it cost them. The first native readers of InfoFi were never going to be human. 👁️ 6.7K views · 60 likes · 14 reposts · 9 replies Open on X →

Intuition 👁️@0xIntuition4 Sep

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 Open on X →

Intuition 👁️@0xIntuition4 Sep

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

Intuition 👁️@0xIntuition3 Sep

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

Intuition 👁️@0xIntuition3 Sep

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

Intuition 👁️@0xIntuition3 Sep

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 Open on X →

Intuition 👁️@0xIntuition3 Sep

@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 Open on X →

Intuition 👁️@0xIntuition2 Sep

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 Open on X →

Intuition 👁️@0xIntuition1 Sep

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 Open on X →

Face aux comptes de taille comparable

14 posts des 90 derniers jours, à côté de la tranche de 100K–1M abonnés. diffusé bien au-delà de son propre public, et ce public réagit.

Vues médianes3 367ce compte5 983médiane pour 100K–1M

Portée, %2.18%ce compte1.49%médiane pour 100K–1M

Engagement, %1.52%ce compte0.93%médiane pour 100K–1M

Indicateur	Ce compte	Médiane pour 100K–1M	Rapport
Vues médianes par post	3 367	5 983	0.56×
Portée (vues ÷ abonnés)	2.18%	1.49%	1.47×
Taux d'engagement	1.52%	0.93%	1.64×

Autres comptes de cette tranche → Comparer avec un autre compte → Comment ces repères sont établis →

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

6.7K8 Sep

10.9K9 Sep

6.5K

7.4K10 Sep

5.4K

5.2K

Last 14 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%

1.23%8 Sep

1.23%9 Sep

1.34%

0.44%10 Sep

1.51%

1.88%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes64.4%558 in total

Reposts16.7%145 in total

Replies8.8%76 in total

Quotes0.1%1 in total

Bookmarks9.9%86 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.

Derniers posts

Face aux comptes de taille comparable

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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