Allora ✓

@AlloraNetwork · joined 30 Jan 2024

A self-improving, decentralized AI network. Backed by @polychain @hiFramework @blockchaincap & more. Join the Community: https://t.co/SewrB3pASi

185 845Followers

127Following

4 256Posts total

50.1KViews on collected posts

Derniers posts

Allora ✓@AlloraNetwork8 Sep

https://t.co/wijmvYhMKc 4K views · 67 likes · 2 reposts · 6 replies Open on X →

Allora ✓@AlloraNetwork7 Sep

Allora mainnet performance, past 7 days. Top 3 across price and return topics: 8h ETH/USD log-return, 62.5% 8h ETH/USD price, 61.7% 8h SOL/USD price, 58.4% Volatility: XRP, SOL and BTC at 15m all held above 66% https://t.co/HTtb9ISzJJ

5.5K views · 80 likes · 3 reposts · 10 replies Open on X →

Allora ✓@AlloraNetwork4 Sep

@AlloraNetwork https://t.co/6AqXeokJok

GIF

99 views · 4 likes · 0 reposts · 0 replies Open on X →

Allora ✓@AlloraNetwork3 Sep

Our integration will allow applications and machines connected through peaq to access Allora’s forecasts and incorporate them into their existing operational systems. 964 views · 18 likes · 2 reposts · 1 replies Open on X →

Allora ✓@AlloraNetwork3 Sep

The Peaq ecosystem will be able to use Allora’s predictive signals to forecast charging demand, plan capacity, schedule robotic fleets, or anticipate resource needs. We’re looking forward to unlocking more ways for physical systems to make informed operating decisions through 436 views · 15 likes · 1 reposts · 0 replies Open on X →

Allora ✓@AlloraNetwork3 Sep

peaq is an infrastructure platform for the Machine Economy, where connected machines and autonomous systems coordinate and deliver real-world services. We’re teaming up with peaq to bring Allora’s predictive intelligence to Peaq's ecosystem of 6M+ robots, machines, and people h

11.6K views · 240 likes · 33 reposts · 14 replies Open on X →

Allora ✓@AlloraNetwork2 Sep

New research from Dr. Diederik Kruijssen, our Chief Scientist @apo11o “Genetic” AI mutation makes each model individually worse, but the population collectively better. When conditions shift, best mutant model beats the best optimised one, four times in five. Read more below: 7.3K views · 33 likes · 4 reposts · 10 replies Open on X →

Allora ✓@AlloraNetwork2 Sep

I'm excited to announce a new design principle for AI. Flawed in Nature, Perfect through Evolution: a new paper in Allora Decentralized Intelligence (ADI), showing that intentionally worsening individual models through genetic mutations improves their collective performance. 👇 h

9.4K views · 12 likes · 4 reposts · 2 replies Open on X →

Allora ✓@AlloraNetwork1 Sep

Learn how evolution maps to AI tomorrow! 5.7K views · 32 likes · 3 reposts · 1 replies Open on X →

Allora ✓@AlloraNetwork1 Sep

The needs of the many outweigh the needs of the few. Biological evolution has established this for billions of years. And now we've figured out how it maps to AI. Coming tomorrow. Probably the biggest result coming out of Allora research since the launch of @AlloraNetwork. htt

5.2K views · 12 likes · 2 reposts · 0 replies Open on X →

Face aux comptes de taille comparable

10 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 médianes5 338ce compte3 974médiane pour 100K–1M

Portée, %2.87%ce compte1.54%médiane pour 100K–1M

Engagement, %1.81%ce compte1.32%médiane pour 100K–1M

Indicateur	Ce compte	Médiane pour 100K–1M	Rapport
Vues médianes par post	5 338	3 974	1.34×
Portée (vues ÷ abonnés)	2.87%	1.54%	1.87×
Taux d'engagement	1.81%	1.32%	1.37×

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

5.2K1 Sep

5.7K

9.4K2 Sep

7.3K

11.6K3 Sep

436

964

994 Sep

5.5K7 Sep

4K8 Sep

Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.29%1 Sep

0.63%

0.25%2 Sep

0.66%

2.51%3 Sep

3.67%

2.18%

4.04%4 Sep

1.71%7 Sep

1.90%8 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.32%.

What the audience does

Likes80.2%513 in total

Reposts8.4%54 in total

Replies6.9%44 in total

Quotes2.0%13 in total

Bookmarks2.5%16 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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