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Brevis

@brevis_zk · joined 21 Mar 2023

The Infinite Compute Layer for Web3 and Everything. ZK Power, Real Adoption. https://t.co/wNjTT0zzzo

365 805Followers
88Following
2 778Posts total
55.2KViews on collected posts

Latest posts

gm. Give it time and effort, and every piece will fall exactly where it needs to. ⏳ https://t.co/3LeOI0s9Q1
8.1K views · 10 likes · 3 reposts · 4 replies Open on X →
@brevis_zk @Brevis @hz92917927 @no89thkey Scam 9 views · 0 likes · 0 reposts · 0 replies Open on X →
@brevis_zk The jump from an interactive conversation to a proof that a smart contract can verify on its own is pretty wild That shift is what made ZK actually practical for onchain use 5 views · 0 likes · 0 reposts · 0 replies Open on X →
@brevis_zk @Brevis @hz92917927 @no89thkey Super cool! It was awesome advancing the frontier with you! 290 views · 7 likes · 0 reposts · 1 replies Open on X →
@brevis_zk @Brevis @hz92917927 @no89thkey Holding top of the leaderboard on a challenge tied to a same-day arXiv paper is a hard thing to pull off. Congrats to the co-authors, that's a good day. 122 views · 1 likes · 0 reposts · 0 replies Open on X →
Brevis is one of the teams behind https://t.co/wZUmjFUPbo, a new paper on arXiv today. Our agent AutoEng competed in the challenge and held the top of the leaderboard for some time. Congrats to 3 co-authors @brevis: @hz92917927, @no89thkey and @succinct_li. https://t.co/cBfNaa
24.8K views · 34 likes · 2 reposts · 4 replies Open on X →
@brevis_zk The breakthrough wasn't just removing the back-and-forth. It turned a fleeting interaction into a reproducible artifact. Verification stopped depending on who was present when the claim was made. 30 views · 0 likes · 0 reposts · 0 replies Open on X →
Fun fact, did you know that zero-knowledge proofs started out as a conversation? ☎️ When they were first described in 1985, proving something meant going back and forth in real time. The verifier threw random challenges at the prover, the prover answered each one, and after 8.8K views · 30 likes · 4 reposts · 6 replies Open on X →
mesmerizing as ever. 🔆 https://t.co/NZo6ogydSG
5.9K views · 10 likes · 3 reposts · 1 replies Open on X →
We've spent a few evenings here on how small a proof is and how fast it checks. There's a third property worth highlighting. A proof outlives whoever made it. ⏳ The evidence sits inside the proof. In ten years anyone can check it in the same few milliseconds, with the prover 7.1K views · 19 likes · 6 reposts · 1 replies Open on X →

Against accounts of the same size

10 posts from the last 90 days, next to the 100K–1M follower range. below its peers on both reach and engagement.

Median views3 086this account4 362median for 100K–1M
Reach, %0.84%this account1.67%median for 100K–1M
Engagement, %0.22%this account1.30%median for 100K–1M
MetricThis accountMedian for 100K–1MRatio
Median views per post3 0864 3620.71×
Reach (views ÷ followers)0.84%1.67%0.51×
Engagement rate0.22%1.30%0.17×

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

7.1K9 Sep
5.9K10 Sep
8.8K
30
24.8K11 Sep
122
290
5
9
8.1K12 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

0.37%9 Sep
0.24%10 Sep
0.45%
0.00%
0.16%11 Sep
0.82%
2.76%
0.00%
0.00%
0.21%12 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.30%.

What the audience does

Likes74.5%111 in total
Reposts12.1%18 in total
Replies11.4%17 in total
Bookmarks2.0%3 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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