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Band ✓

@BandProtocol · joined 08 May 2018

The Data Layer That Trains AI Engines and Powers Blockchain Applications. Powering @membit_ai | Since 2018

139 044Followers
189Following
4 564Posts total
48.9KViews on collected posts

Ultimi post

Q2 2026 was the most hacked quarter in DeFi history. 99 exploits, more than any quarter on record. Most of that value wasn't lost to bad code. Around 76% came from compromised infrastructure: stolen keys, credential access, the operational layer nobody audits. Security isn't a 2.8K views · 27 likes · 2 reposts · 3 replies Open on X →
Open-Weight Wednesday: Meta's new Muse Glimmer family is built to run on a laptop, no cloud, no API key. Honest question: is anyone actually running models locally day to day, or is it still API for everything real? https://t.co/BnVYSxKa8T 2.8K views · 12 likes · 2 reposts · 1 replies Open on X →
Polymarket and Kalshi are building perps. Hyperliquid is building prediction markets. They're converging on the same product from opposite directions, and the CFTC is clearing the runway for both. Here's what nobody's talking about: $86 trillion in perps volume last year. Add h 3.1K views · 25 likes · 4 reposts · 6 replies Open on X →
Model Monday: Ox Alpha, now revealed as GLM-5.3-Flash It showed up anonymously on OpenRouter last week with no name and no company attached, then hit #1 on the leaderboard, more than doubling DeepSeek's usage. Nobody knew who built it. Turns out it was @Zai_org A fifth the h 3.4K views · 19 likes · 3 reposts · 3 replies Open on X →
@BandProtocol 👀 767 views · 3 likes · 0 reposts · 1 replies Open on X →
@BandProtocol Oracles are useless in blockchains. 703 views · 3 likes · 0 reposts · 1 replies Open on X →
@BandProtocol if my guess is correct it should be @BandProtocol 916 views · 2 likes · 0 reposts · 1 replies Open on X →
And guess who is the oracle provider for XRP Ledger? 34.5K views · 225 likes · 21 reposts · 17 replies Open on X →

Rispetto ad account della stessa dimensione

4 post degli ultimi 90 giorni, accanto alla fascia di 100K–1M follower. arriva a più persone rispetto ad account della stessa dimensione.

Visualizzazioni mediane2 954questo account5 983mediana per 100K–1M
Copertura, %2.12%questo account1.49%mediana per 100K–1M
Interazione, %0.94%questo account0.93%mediana per 100K–1M
MetricaQuesto accountMediana per 100K–1MRapporto
Visualizzazioni mediane per post2 9545 9830.49×
Copertura (visualizzazioni ÷ follower)2.12%1.49%1.43×
Tasso di interazione0.94%0.93%1.01×

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

34.5K7 May
916
7038 May
767
3.4K31 Aug
3.1K1 Sep
2.8K2 Sep
2.8K3 Sep

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.77%7 May
0.33%
0.57%8 May
0.52%
0.74%31 Aug
1.13%1 Sep
0.57%2 Sep
1.15%3 Sep

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

What the audience does

Likes78.4%316 in total
Reposts7.9%32 in total
Replies8.2%33 in total
Quotes1.0%4 in total
Bookmarks4.5%18 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