Babylon engagement report
@babylonlabs_io - 413K followers on X
Measured over 40 original posts from a 30-day window, last computed on September 24, 2026.
Engagement
A typical post picks up 78 interactions against 413K followers, an engagement rate of 0.018%. Measured over 40 original posts, its engagement rate beats 43% of 20,444 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 0.673% of those impressions turn into an interaction. That is about 2.78% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.3 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 40 posts sampled, 80% carry an image or video, 30% are part of a thread and 15% link out. The account's strongest tracked post pulled 1.8K interactions, about 23x its own typical post. Recurring topics include #8uiltforperfecttrades, #bitgetturns8, #iphoneduo.
Measured over 40 original posts from a 30-day window, last computed on September 24, 2026. Recurring tags: #8uiltforperfecttrades, #bitgetturns8, #iphoneduo.
Compared with accounts its own size
Babylon's engagement rate beats 43% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 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 37% 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 10th percentile of the 204,956 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 Wednesday 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 89K |
| 01:00 UTC | -2% | 90K |
| 02:00 UTC | -3% | 88K |
| 03:00 UTC | -4% | 94K |
| 04:00 UTC | -5% | 76K |
| 05:00 UTC | -4% | 75K |
| 06:00 UTC | -5% | 86K |
| 07:00 UTC | -5% | 93K |
| 08:00 UTC | -4% | 108K |
| 09:00 UTC | -4% | 124K |
| 10:00 UTC | -3% | 129K |
| 11:00 UTC | -3% | 141K |
| 12:00 UTC | -3% | 154K |
| 13:00 UTC | -3% | 167K |
| 14:00 UTC | -4% | 173K |
| 15:00 UTC | -2% | 176K |
| 16:00 UTC | -3% | 171K |
| 17:00 UTC | -3% | 159K |
| 18:00 UTC | -2% | 149K |
| 19:00 UTC | -2% | 141K |
| 20:00 UTC | -1% | 131K |
| 21:00 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
Formats this account uses
Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 80% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 15% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 80% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
- 15% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
- Its average post runs 260 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.
These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.
Best tweets
- Jun 2, 202623x their median
Native Bitcoin-backed borrowing is live on Public Testnet with @aave v4. Powered by Babylon Trustless Bitcoin Vaults, users can post Bitcoin as collateral and borrow without giving up custody, wrapping, or bridging. This is the latest step in building native Bitcoin-backed credit markets.
- Sep 7, 20266.8x their median
DeFi for everyone. https://t.co/0S2042lobZ
- Jul 28, 20265.7x 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.
- Sep 13, 20265.4x their median
#iphoneduo https://t.co/XQKPNEghFD
- Sep 9, 20262.9x their median
Frequently asked questions answered by @baby_fisherman 1⃣What is TBV? TBV stands for Babylon Trustless Bitcoin Vaults (TBV). It’s a protocol that allows Bitcoin holders to lock Bitcoin on the Bitcoin chain themselves. The locked Bitcoin can then be directly recognized by DeFi applications as collateral.
- Sep 7, 20262.0x their median
.@baby_fisherman on where yield is being generated now: The sources have moved off-chain. However, the on-chain infrastructure and liquidity around them hasn't been built yet. https://t.co/8Ft37sZmLR
- Aug 23, 20261.8x their median
Stablecoins issued by Circle grew by $1.7B over the past seven days, nearly five times the $357.3M increase across Ripple-issued assets Stablecoins issued by Tether added $202.2M, placing Tether third among issuers https://t.co/2XDcjyKch9
- 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
- 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.
- 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
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.
Recurring topics
The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.
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Reading these numbers
A typical post picks up 78 interactions against 413K followers, an engagement rate of 0.018%. Measured over 40 original posts, its engagement rate beats 43% of 20,444 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 0.673% of those impressions turn into an interaction. That is about 2.78% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.3 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 40 posts sampled, 80% carry an image or video, 30% are part of a thread and 15% link out. The account's strongest tracked post pulled 1.8K interactions, about 23x its own typical post. Recurring topics include #8uiltforperfecttrades, #bitgetturns8, #iphoneduo.
- What is Babylon's engagement rate on X?
- Babylon (@babylonlabs_io) has an engagement rate of 0.018%, based on the median interactions across 40 original posts from the last 30 days against 413,486 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 10th percentile of the 204,956 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 43% of the tracked X accounts closest to it in follower count (20,444 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 Wednesday is its busiest day, at roughly 3.27 posts per day across the measured window.