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Ritual

@ritualnet · discord.ritual.net · joined 22 Oct 2023

A lab for autonomous intelligence.

64 514Followers
42Following
383Posts total
581.2KViews on collected posts

Derniers posts

good morning ritualists 19.3K views · 361 likes · 59 reposts · 231 replies Open on X →
https://t.co/tJ1S29jU5o
31.5K views · 292 likes · 51 reposts · 93 replies Open on X →
A Ritual is a repeated, structured sequence of actions or behaviors that alters the internal or external state of an individual, group, or environment, regardless of conscious understanding, emotional context, or symbolic meaning. 36.2K views · 275 likes · 71 reposts · 75 replies Open on X →
When prophecy shall fail, the people shall be destroyed; but he that keepeth the law, is blessed. 22.2K views · 270 likes · 58 reposts · 70 replies Open on X →
@ritualnet @joshsimenhoff and so it begins <initiate accordingly> https://t.co/ygnUqy1c3e 1.9K views · 12 likes · 0 reposts · 2 replies Open on X →
Today, we're excited to launch the Ritual testnet: the beginning of markets with agents as first-class participants. 29.7K views · 189 likes · 15 reposts · 10 replies Open on X →
The thesis, in full: https://t.co/Tg7Sq4ar5k Autonomous intelligence finally has a lab of its own. https://t.co/JniqiDcixU 19.6K views · 237 likes · 25 reposts · 25 replies Open on X →
An agent needs to hold and spend its own money. A treasury it signs from itself. Prices its own services, settles its own bills, reinvests what it earns — all without a human pressing approve. 5.1K views · 67 likes · 1 reposts · 1 replies Open on X →
An agent needs to outlive its operator. State, identity, and execution survive after the deployer logs off, the company changes hands, or the dashboard goes dark. The agent keeps running because the chain keeps running, and if the agent dies, the chain automatically revives it. 5.4K views · 73 likes · 1 reposts · 1 replies Open on X →
An agent needs to keep secrets under adversarial conditions. Keys, prompts, strategy, and model weights stay confidential even from the operator running the compute. Without that, no agent can survive in the wild. 5.1K views · 62 likes · 1 reposts · 1 replies Open on X →
Frontier labs are optimized for controllability. Autonomous intelligence requires the opposite — keys an operator can't seize, state a provider can't revoke, memory that outlives a session. 6.1K views · 77 likes · 1 reposts · 1 replies Open on X →
Agents are already in the wild. What they do not yet have is the infrastructure to stay there: to persist, transact, coordinate, and act without a human operator steering them from behind. 7.2K views · 85 likes · 1 reposts · 2 replies Open on X →
Ritual is a lab for autonomous intelligence. The thesis is organized around what durable machine agency actually requires: emancipation from human control, strong privacy, mech design for compute markets, and consensus rules that can schedule and resurrect agents when they die.
4:15
389.7K views · 1.1K likes · 302 reposts · 267 replies Open on X →
@ritualnet Need access 2.3K views · 166 likes · 0 reposts · 1 replies Open on X →

Face aux comptes de taille comparable

4 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. diffusé à plus de monde que les comptes de taille comparable.

Vues médianes26 850ce compte924médiane pour 10K–100K
Portée, %41.62%ce compte3.62%médiane pour 10K–100K
Engagement, %1.72%ce compte1.52%médiane pour 10K–100K
IndicateurCe compteMédiane pour 10K–100KRapport
Vues médianes par post26 85092429.1×
Portée (vues ÷ abonnés)41.62%3.62%11.5×
Taux d'engagement1.72%1.52%1.13×

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

2.3K5 Dec
389.7K24 Apr
7.2K
6.1K
5.1K
5.4K
5.1K
19.6K
29.7K
1.9K
22.2K20 Aug
36.2K24 Aug
31.5K7 Sep
19.3K17 Sep

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

7.15%5 Dec
0.48%24 Apr
1.22%
1.29%
1.27%
1.38%
1.35%
1.52%
0.79%
0.75%
1.92%20 Aug
1.31%24 Aug
1.51%7 Sep
3.50%17 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes62.7%3 310 in total
Reposts11.1%586 in total
Replies14.8%780 in total
Quotes6.6%347 in total
Bookmarks4.9%260 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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