Sapien engagement report
@BuildOnSapien - 129K followers on X
Measured over 27 original posts from a 30-day window, last computed on October 1, 2026.
Engagement
A typical post picks up 32 interactions against 129K followers, an engagement rate of 0.024%. Measured over 27 original posts, its engagement rate beats 31% 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 3.1K times each, and 1.04% of those impressions turn into an interaction. That is about 2.40% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 20:00 UTC, and Wednesday is the busiest day of the week. Of the 27 posts sampled, 93% carry an image or video, 15% are part of a thread and 15% link out. The account's strongest tracked post pulled 82 interactions, about 2.6x its own typical post.
Measured over 27 original posts from a 30-day window, last computed on October 1, 2026.
Compared with accounts its own size
Sapien's engagement rate beats 31% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 8 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 42% 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 0.024%, Sapien sits above the 25th percentile of the 205,881 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.68% |
| 90th percentile | 2.56% |
| 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 20:00 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 | 93% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 15% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 93% 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 488 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.
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
- Aug 22, 20262.6x their median
Building Proof of Quality in paradise https://t.co/oQ6ozGaaNK
- Aug 20, 20262.4x their median
$SAPIEN Staking rewards are live at https://t.co/GvWTBBM9oh with up to 20% APY. Find out more here: https://t.co/oJsLGV2ijS https://t.co/Ad2oCE0GFa
- Aug 22, 20262.2x their median
The New Mexico Supreme Court issued a sharp rebuke Friday to a well-known local lawyer for filing a legal brief that referenced fictional witnesses and testimony apparently fabricated by the artificial intelligence he used to help him write it. https://t.co/qo1vPDHqJT
- Aug 19, 20262.1x their median
Next stop: Bali! @chad_evm and @rondiexxx from our team will be representing Sapien at @binance Coinfest. We’ve been invited to present Proof of Quality at this year’s Binance Clubhouse Bali and we’re naturally sending our best! https://t.co/UVLKsIdYJ5
- Aug 26, 20261.7x their median
Our Smart Contracts Lead @chad_evm at @binance Clubhouse 2026 on the question of who we're building for and how their needs influence how we're building. https://t.co/5YTh9oIJlC
- Sep 5, 20261.6x their median
Every robotics team that trains policies from human demonstrations can say how fast it collects footage, processes it and trains on it. The stage in between, where someone judges whether an episode is fit to train on, goes unmeasured, and it decides when the next run can start with confidence. Proof of Quality, Sapien's evaluation system for AI work, is built for that stage. How does your team measure it today?
- Aug 24, 20261.6x their median
Today is Aumkar Mali's first day at Sapien! He's a 2nd year Waterloo Co-op student, who immediately stood out for his curiosity and love of building ambitious things (like a solar race car). He joins us after a stint with Taymer, where he built AI systems that spot manufacturing defects. Aumkar earned an impressive 92% average at Waterloo, and already has 39 public GitHub repos. He’ll spend the fall strengthening the ML systems behind PoQ, helping us spot issues, improve reliability, and measure AI quality at scale.
- Aug 31, 2026
Today is Gurvir Randhawa's first day at Sapien! He is a second year engineering student at the University of Waterloo, joining us for the fall term, and he stood out immediately for his thoughtful approach and his genuine interest in Proof of Quality. Gurvir previously worked at YC backed Hamming AI, where he helped build voice agent evaluation infrastructure behind a threefold increase in their hallucination detection rate, and most recently he built on device ML systems at Ford. He is spending the fall on the AI evaluation and backend ML systems behind PoQ, the work of measuring AI work against a defined standard. Welcome, Gurvir!
- Sep 18, 2026
Most episodes in a batch of robot demonstrations are uncontested. Any qualified reviewer would score them the same way, and they still hold the same place in the review schedule as the difficult ones. Volume sets the duration of the pass, so the episodes that need a specialist wait behind work that needed a check. Proof of Quality, Sapien's evaluation system for AI work, scores that volume with agents and puts qualified experts on the episodes where context, uncertainty or consequence makes their judgment worth the time. The queue in front of the panel shrinks to a fraction of the batch, and the pass finishes sooner. Which part of your review queue absorbs the most expert time?
- Sep 11, 2026
Robotics teams can collect and process training data episodes faster than reviewers can evaluate whether or not they belong in the training set. Collection, processing and training each have a measured throughput, while the judgment stage between processing and training often does not. That review rate determines when enough trusted data exists to start the next training run. Proof of Quality measures each episode against the standard your experts set. How Proof of Quality works with Robotics: https://t.co/X3WKohpGgN How does your team decide which episodes make it into a training set?
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 32 interactions against 129K followers, an engagement rate of 0.024%. Measured over 27 original posts, its engagement rate beats 31% 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 3.1K times each, and 1.04% of those impressions turn into an interaction. That is about 2.40% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 20:00 UTC, and Wednesday is the busiest day of the week. Of the 27 posts sampled, 93% carry an image or video, 15% are part of a thread and 15% link out. The account's strongest tracked post pulled 82 interactions, about 2.6x its own typical post.
- What is Sapien's engagement rate on X?
- Sapien (@BuildOnSapien) has an engagement rate of 0.024%, based on the median interactions across 27 original posts from the last 30 days against 128,786 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.024%, Sapien sits above the 25th percentile of the 205,881 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 @BuildOnSapien have real engagement?
- Its engagement rate beats 31% 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 @BuildOnSapien post?
- Most posts go out around 20:00 UTC, and Wednesday is its busiest day, at roughly 1.17 posts per day across the measured window.