Developer DAO (🧱, 🚀) engagement report
@developer_dao - 91K followers on X
Measured over 30 original posts from a 30-day window, last computed on August 27, 2026.
Engagement
A typical post picks up 11 interactions against 91K followers, an engagement rate of 0.012%. Measured over 30 original posts, its engagement rate beats 20% of 4,543 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.2K times each, and 0.492% of those impressions turn into an interaction. That is about 2.45% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 19:00 UTC, and Wednesday is the busiest day of the week. Of the 30 posts sampled, 50% carry an image or video, 40% are part of a thread and 50% link out. The account's strongest tracked post pulled 1.7K interactions, about 151x its own typical post.
Measured over 30 original posts from a 30-day window, last computed on August 27, 2026.
Compared with accounts its own size
Developer DAO (🧱, 🚀)'s engagement rate beats 20% of the tracked X accounts closest to it in follower count (4,543 accounts, accounts of similar size (decile 5 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 26% 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 0.012%, Developer DAO (🧱, 🚀) sits above the 10th percentile of the 43,800 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.013%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.013% |
| 50th percentile | 0.085% |
| 75th percentile | 0.451% |
| 90th percentile | 2.08% |
| 99th percentile | 141.3% |
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 19:00 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% | 61K |
| 01:00 UTC | -2% | 62K |
| 02:00 UTC | -3% | 61K |
| 03:00 UTC | -4% | 65K |
| 04:00 UTC | -6% | 52K |
| 05:00 UTC | -5% | 51K |
| 06:00 UTC | -5% | 59K |
| 07:00 UTC | -5% | 63K |
| 08:00 UTC | -4% | 74K |
| 09:00 UTC | -4% | 85K |
| 10:00 UTC | -3% | 88K |
| 11:00 UTC | -3% | 96K |
| 12:00 UTC | -2% | 106K |
| 13:00 UTC | -3% | 115K |
| 14:00 UTC | -4% | 118K |
| 15:00 UTC | -2% | 122K |
| 16:00 UTC | -3% | 119K |
| 17:00 UTC | -3% | 110K |
| 18:00 UTC | -2% | 103K |
| 19:00 UTC | -2% | 97K |
| 20:00 UTC | -1% | 91K |
| 21:00 UTC | -1% | 80K |
| 22:00 UTC | -1% | 69K |
| 23:00 UTC | -1% | 62K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 263K |
| Monday | +1% | 338K |
| Tuesday | -1% | 366K |
| Wednesday | -3% | 345K |
| Thursday | -4% | 304K |
| Friday | -3% | 283K |
| Saturday | +3% | 256K |
Best tweets
- Aug 25, 2026151x their median
Devin for Startups gets you $65,000.00 in @DevinAI credits and grants, direct support from the @cognition team, and free swag. Submissions are open, I encourage you to apply! https://t.co/pXLysX65eo https://t.co/h8usjR5ugy
- Jul 24, 20261.8x their median
DevNTell - Solving Stablecoin Fragmentation with @eco feat. @rynesaxe | host: @narb_s https://t.co/zP8CI9CqYd
- Aug 5, 2026
Have you signed up for our first DevNTell this week? 🎙️Tomorrow, we’ll be joined by @turbahn, VP of Embedded Wallets at @FireblocksHQ, where he leads the company’s embedded wallet infrastructure following Fireblocks’ acquisition of @dynamic_xyz. We'll talk about Dynamic, delve into the story behind the acquisition of Dynamic and more! 📋 RSVP today https://t.co/pQZyz3akh2
- Aug 18, 2026
🎙️ "sometime in the next 12 months, it's going to blow up, and it's going to blow up I think in a way that surprises us." Ryne Saxe ( @rynesaxe ), CEO of @eco, shares his bold prediction on agentic commerce and compares it to the step-function moment we just saw with AI agents 🤖 Hear why he thinks the killer use case might be invented by an agent itself in this DevNTell clip 👀
- Aug 7, 2026
DevNTell - @Benzinga: The Invisible Data Layer Powering Schwab, Fidelity and more feat. SVP of Data Licensing Andrew Lebbos | Host: @narb_s https://t.co/vCfo8yjVzR
- Aug 5, 2026
👉 We’re back with another great piece of open source software. @futexlabs released a banger open source library that deserves a place in the Rust standard library: a lazily initialized array! The idea is simple: the buffer is allocated up front on the stack, but its memory is not initialized on creation. There’s three huge benefits to this implementation on the surface: resource management is simplified in the absence of a heap allocation, everything has a limit; declaring them up front forces you to think about them concretely, and highly predictable performance characteristics. FxArray features ergonomic APIs for manipulating the data structure, does not have any required dependencies, and supports no_std out of the box. Developers may however opt into the “serde” feature flag for serialization and deserialization support. This library is inspired by Tiger Style, the engineering methodology created by the great folks at @TigerBeetleDB. Check it out on Github & Crates io https://t.co/OMDaItJq05 https://t.co/cWgGzHLCMr
- Jul 30, 2026
DevNTell - @AugurProject: The Decentralized Layer for Prediction Markets feat. @AugusLSN | Host: @narb_s https://t.co/F5LDTghLZV
- Jul 23, 2026
Have you signed up for DevNTell this week? 🎙️Tomorrow, we’ll be joined by @rynesaxe, CEO of @eco, who'll be joining the podcast to discuss how they're solving the stablecoin fragmentation problem across web3🔥 📋 RSVP today https://t.co/7HR1h62r2R
- Aug 21, 2026
DevNTell - @BitgetWallet: Scaling a Self-Custody Wallet to 100M Users feat. Shen Chen ( @sunlearnstorock ) | Host: @narb_s https://t.co/OXB9zISe0D
- Aug 4, 2026
🎙️ "There's no convenient way for you to plug a credit card into an agent... it's the same issue we've had when we got DAOs." @sideshiftai founder Andreas Brekken ( @abrkn ) explains why legacy payment rails simply can't keep up with AI agents 🤔 Hear why crypto may be the missing piece in this DevNTell clip, where Andreas and Narb explore agentic commerce and machine-to-machine payments 👀
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 11 interactions against 91K followers, an engagement rate of 0.012%. Measured over 30 original posts, its engagement rate beats 20% of 4,543 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.2K times each, and 0.492% of those impressions turn into an interaction. That is about 2.45% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 19:00 UTC, and Wednesday is the busiest day of the week. Of the 30 posts sampled, 50% carry an image or video, 40% are part of a thread and 50% link out. The account's strongest tracked post pulled 1.7K interactions, about 151x its own typical post.
- What is Developer DAO (🧱, 🚀)'s engagement rate on X?
- Developer DAO (🧱, 🚀) (@developer_dao) has an engagement rate of 0.012%, based on the median interactions across 30 original posts from the last 30 days against 91,292 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.012%, Developer DAO (🧱, 🚀) sits above the 10th percentile of the 43,800 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 @developer_dao have real engagement?
- Its engagement rate beats 20% of the tracked X accounts closest to it in follower count (4,543 accounts), which puts it in the bottom quarter for its size 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 @developer_dao post?
- Most posts go out around 19:00 UTC, and Wednesday is its busiest day, at roughly 1.87 posts per day across the measured window.