tweetindex
IT

Zero1 Labs (𝟘,𝟷)

@zero1_labs · joined 13 Nov 2023

Powering Decentralized AI with Cypher. Partnered with @nvidia Ignition AI Accelerator

94 405Followers
26Following
797Posts total
101.4KViews on collected posts

Ultimi post

Zero1 Labs set out to make privacy-preserving decentralized AI real. Over the past two years, we built the Cypher FHE-EVM Layer, launched the Keymaker platform, and supported open-source AI builders through the Zero Construct Program. 10.8K views · 30 likes · 4 reposts · 26 replies Open on X →
@zero1_labs You guys still around? 393 views · 5 likes · 0 reposts · 2 replies Open on X →
@zero1_labs 7.9M wallets on a chain with $200k mcap ($2M FDV) ? While there's maybe 20k people left on CT? Man... these fake stats need to stop. 769 views · 13 likes · 0 reposts · 0 replies Open on X →
Cypher Testnet, June 2026 87.1M transactions processed end-to-end under FHE. 15.1M DEAI transfers. 7.9M wallets, 115.2K encrypted TXs/day, 38.2M blocks, 264.6 GB encrypted data. Built for confidential compute. https://t.co/ZR7P3KfgnY
14.2K views · 93 likes · 15 reposts · 29 replies Open on X →
Every intelligent system needs a common language for execution. Cypher defines that layer for Zero1 Labs. Bridging agents, protocols, and workflows through structured JSON calls and FHE-secured computation. https://t.co/swG74rK82g https://t.co/p5zbXS7Ja7
7.3K views · 84 likes · 15 reposts · 6 replies Open on X →
With FHE, your data stays encrypted the entire time it is being used, not just while it is stored. That is what makes confidential AI possible on Cypher: models can run inference on inputs they never actually see in plaintext. https://t.co/I066wKT8KF
6.5K views · 88 likes · 15 reposts · 14 replies Open on X →
@zero1_labs Wonder which kind of use cases and realworld adoption we'll see through this within the next month' for $DEAI? 🔥 567 views · 8 likes · 0 reposts · 0 replies Open on X →
@zero1_labs 👀 831 views · 4 likes · 0 reposts · 0 replies Open on X →
AI depends on data. Blockchains depend on trust. To combine them, privacy has to be solved. Cypher is Zero1 Labs’ FHE–EVM chain, designed for AI and LLM applications. It performs computations directly on encrypted data, ensuring inputs stay private while results remain correct.
60K views · 389 likes · 69 reposts · 43 replies Open on X →

Rispetto ad account della stessa dimensione

4 post degli ultimi 90 giorni, accanto alla fascia di 10K–100K follower. arriva a più persone rispetto ad account della stessa dimensione.

Visualizzazioni mediane5 784questo account981mediana per 10K–100K
Copertura, %6.13%questo account3.62%mediana per 10K–100K
Interazione, %1.34%questo account1.61%mediana per 10K–100K
MetricaQuesto accountMediana per 10K–100KRapporto
Visualizzazioni mediane per post5 7849815.90×
Copertura (visualizzazioni ÷ follower)6.13%3.62%1.69×
Tasso di interazione1.34%1.61%0.83×

Altri account di questa fascia →   Confronta con un altro account →   Come sono costruiti questi parametri →

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

60K2 Sep
831
567
6.5K29 May
7.3K5 Jun
14.2K23 Jun
769
39325 Jul
10.8K13 Sep

Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.85%2 Sep
0.48%
1.41%
1.80%29 May
1.46%5 Jun
0.98%23 Jun
1.69%
1.78%25 Jul
0.57%13 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.61%.

What the audience does

Likes72.2%714 in total
Reposts11.9%118 in total
Replies12.1%120 in total
Quotes1.7%17 in total
Bookmarks2.0%20 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.

Account simili