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Babylon engagement report

@babylonlabs_io - 432K followers on X

Measured over 30 original posts from a 30-day window, last computed on August 30, 2026.

Engagement

Middle of its size range
Per follower
0.018%
of 432K followers
Per impression
0.67%
12K views on a typical post
Reach
2.73%
of its followers see a post
Typical post
79
interactions (median)
Saved
0.025%
3 bookmarks on a typical post
Posting rate
2/day
active 63% of days
Peak time
14:00 UTC
Monday

A typical post picks up 79 interactions against 432K followers, an engagement rate of 0.018%. Measured over 30 original posts, its engagement rate beats 39% of 3,862 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 12K times each, and 0.67% of those impressions turn into an interaction. That is about 2.73% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 30 posts sampled, 90% carry an image or video, 33% are part of a thread and 10% link out. The account's strongest tracked post pulled 441 interactions, about 5.6x its own typical post.

Measured over 30 original posts from a 30-day window, last computed on August 30, 2026.

Compared with accounts its own size

Babylon's engagement rate beats 39% of the tracked X accounts closest to it in follower count (3,862 accounts, accounts of similar size (decile 7 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 41% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.018%, Babylon sits above the 25th percentile of the 37,459 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.081%.

p100.002%
p250.012%
p50 (median)0.081%
p750.438%
p902.10%
p99159.8%
Engagement rate as a share of followers, across the 37,459 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 106,523 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.002%
25th percentile0.012%
50th percentile0.081%
75th percentile0.438%
90th percentile2.10%
99th percentile159.8%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 14:00 UTC, and Monday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 14:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%52K
01:00 UTC-2%53K
02:00 UTC-3%51K
03:00 UTC-4%55K
04:00 UTC-6%44K
05:00 UTC-4%43K
06:00 UTC-4%49K
07:00 UTC-5%53K
08:00 UTC-4%62K
09:00 UTC-3%71K
10:00 UTC-2%74K
11:00 UTC-3%81K
12:00 UTC-2%89K
13:00 UTC-2%97K
14:00 UTC-3%100K
15:00 UTC-2%104K
16:00 UTC-4%101K
17:00 UTC-3%94K
18:00 UTC-1%87K
19:00 UTC-2%82K
20:00 UTC-1%77K
21:00 UTC-1%68K
22:00 UTC-1%59K
23:00 UTC-2%53K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%236K
Monday0%298K
Tuesday-3%295K
Wednesday-1%255K
Thursday-1%249K
Friday-3%257K
Saturday+3%231K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Jul 28, 20265.6x their median

    🚨BREAKING: The first half of 2026 was the most hacked six months in crypto history. 212 exploits drained $1.1 BILLION, 3.4x more incidents than all of 2025. North Korea's Lazarus Group was behind 55% of all losses, roughly $609 MILLION. Their two biggest hits, KelpDAO ($292M) and Drift Protocol ($285M), totaled 577M. Compromised private keys caused 74% of all dollar losses. The Blockaid security report also flagged the first ever AI prompt injection exploit, where an attacker tricked an AI agent into approving a $216K transaction.

    31064511660K viewsView on X
  • Aug 11, 20261.7x their median

    So what’s different about native Bitcoin-backed borrowing on @aave v4? 1. Transparent, competitive on-chain borrowing rates. 2. Your Bitcoin stays on Bitcoin - no wrapping or bridging. 3. No intermediary holds your BTC. Try our Public Testnet. https://t.co/4o3Dal7PJb

    991814412K viewsView on X
  • Aug 6, 20261.6x their median

    "You retain your title. Self-custodial, trustless, no bridging, no wrapping. Everything is verified cryptographically. Trust cryptography, don't trust other people." Babylon co-founder @dntse walks through the @aave v4 flow: deposit Bitcoin, borrow USDC, repay, and your BTC unlocks automatically. The breakthrough is BABE which allows ZK-proofs be verified efficiently on Bitcoin.

    673814512K viewsView on X
  • Aug 13, 20261.6x their median

    “Trust cryptography. Don’t trust other people.” @dntse explains how native Bitcoin can be used as collateral to borrow on @aave v4 without wrapping, bridging or relying on centralized intermediaries. https://t.co/ksNl5sv5Jp

    881316612K viewsView on X
  • Aug 5, 2026

    Deposit native Bitcoin as collateral, not so difficult! @VladDegen, Babylon's DeFi Product Lead, walks us through how to deposit your native Bitcoin on our Public Testnet for native Bitcoin-backed borrowing. Join the Public Testnet with @aave v4: https://t.co/vABTcHMQC2

    731622417K viewsView on X
  • Aug 15, 2026

    "This is the healthiest the crypto and Web3 market has been in years. Because what will be left after all this is you're left with adults." CJ Fong of @GSR_io on Double Down, Babylon's Bitcoin podcast. Consolidation is another beginning of the story. It's also the entry ticket for institutions. Watch the full conversation on Babylon's youtube channel.

    811318116K viewsView on X
  • Aug 10, 2026

    .@dntse explains why TBV's first product targets lending with @aave v4 on @ethereum . "Building a real product means focusing on getting market feedback, validating the technology by doing one thing very well first. That’s why we are going after the biggest lending market and the biggest blockchain for smart contract."

    711414613K viewsView on X
  • Aug 7, 2026

    The Vault is back with the new host @jk_remote sits down with Babylon's CTO @vitsalis. We are unpacking: - why using native Bitcoin as collateral has been such a difficult technical problem - what trade-offs wrapped and bridged Bitcoin have - how TBV keeps native Bitcoin while making it usable as collateral on Ethereum. Watch the full episode👇

    701319112K viewsView on X
  • Aug 10, 2026

    You’ve got your native Bitcoin collateral, now it’s time to borrow against it. @VladDegen, Babylon's DeFi Product Lead, show you how to borrow supported assets on @aave v4 and repay. Join the Public Testnet with @aave v4: https://t.co/JRX6Pk3NAu https://t.co/T5BhXGwhpT

    78147113K viewsView on X
  • Aug 7, 2026

    .@baby_fisherman , Babylon's co-founder, expands on the range of applications native Bitcoin collateral can support: > Borrowing other assets > Bitcoin-backed stablecoins > Selling covered calls & deploying structured strategies > Insurance reserve https://t.co/yvFfWVaGRc

    79135214K viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

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Reading these numbers

A typical post picks up 79 interactions against 432K followers, an engagement rate of 0.018%. Measured over 30 original posts, its engagement rate beats 39% of 3,862 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 12K times each, and 0.67% of those impressions turn into an interaction. That is about 2.73% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 30 posts sampled, 90% carry an image or video, 33% are part of a thread and 10% link out. The account's strongest tracked post pulled 441 interactions, about 5.6x its own typical post.

What is Babylon's engagement rate on X?
Babylon (@babylonlabs_io) has an engagement rate of 0.018%, based on the median interactions across 30 original posts from the last 30 days against 431,857 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.018%, Babylon sits above the 25th percentile of the 37,459 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @babylonlabs_io have real engagement?
Its engagement rate beats 39% of the tracked X accounts closest to it in follower count (3,862 accounts), which puts it in the middle of its size range group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @babylonlabs_io post?
Most posts go out around 14:00 UTC, and Monday is its busiest day, at roughly 2 posts per day across the measured window.

Keep going

Babylon (@babylonlabs_io) Engagement Rate - 0.018% | PlayerSells