Hackster.io engagement report
@Hacksterio - 159K followers on X
Measured over 39 original posts from a 30-day window, last computed on October 27, 2026.
Engagement
A typical post picks up 13 interactions against 159K followers, an engagement rate of 0.008%. Measured over 39 original posts, its engagement rate beats 18% of 21,185 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 2.3K times each, and 0.572% of those impressions turn into an interaction. That is about 1.43% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 19:00 UTC, and Thursday is the busiest day of the week. Of the 39 posts sampled, 13% carry an image or video and 100% link out. The account's strongest tracked post pulled 106 interactions, about 8.2x its own typical post. Recurring topics include #ai, #devkithq, #edgelablive2026.
Measured over 39 original posts from a 30-day window, last computed on October 27, 2026. Recurring tags: #ai, #devkithq, #edgelablive2026.
Compared with accounts its own size
Hackster.io's engagement rate beats 18% of the tracked X accounts closest to it in follower count (21,185 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 28% 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 0.008%, Hackster.io sits above the 10th percentile of the 212,270 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.146% |
| 75th percentile | 0.695% |
| 90th percentile | 2.61% |
| 99th percentile | 83.1% |
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 Thursday 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 | 13% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 100% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -3% | -3% to -2% | 54K |
- 13% 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.
- 100% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 170 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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
- Oct 22, 20268.2x their median
C5VRX-5 turns a tiny ESP32-C5 board and seven resistors into a 5.8 GHz analog FPV video receiver, with no extra radio hardware needed. https://t.co/Yn97DyqfpF
- Oct 22, 20267.1x their median
.@EspressifSystem's $59 ESP-Mosaico lets AI agents write, deploy, test, and refine code on real hardware to turn your ideas into working prototypes. https://t.co/RjdlsMxN5G
- Oct 25, 20265.5x their median
Scentronic uses AI to identify smells, then transmits them over the internet to recreate them remotely. The Internet of Smells is here! https://t.co/XEhGQsmQGv
- Sep 21, 20263.8x their median
Who needs pricey GPUs when an old $500 server packed with 384 GB of budget RAM can run flagship AI models locally? https://t.co/vsuOoZZYBX
- Oct 23, 20262.9x their median
NUS researchers built a display out of electronic fibers, creating the world's first washing-machine-safe touchscreen woven into a shirt. https://t.co/fnXzZA7jt9
- Oct 22, 20262.8x their median
.@LattePandaCN unveils the Intel Core Ultra X7-powered Sigma "single-board server." https://t.co/b8ZrXE8tIQ
- Oct 26, 20262.5x their median
Chili Pepper is an all-in-one, open source ESP32-S3 board for building custom digital musical instruments. https://t.co/Tb10DGHqSH
- Oct 22, 20262.5x their median
Max Kern's Pico.Lab is an open source embedded bring-up tool built around the @Raspberry_Pi RP2350 microcontroller with an easy-to-use web UI. https://t.co/SXxVQtKwHH
- Oct 26, 20262.3x their median
Meet the Boss: the Infineon Team's Survival Sensor Box. Multiple sensors + edge AI in one cyberpunk handheld. Your move: build something that outwits it with the PSOC™ Edge E84 AI Kit. Join the Battle in the AI Arena: https://t.co/3gcoIYKGSp https://t.co/2pRMOJ0aIU
- Oct 24, 20262.3x their median
50 free dev kits. 48 hours. ⏳ @NordicTweets' nRF54LM20 DK has an on-chip AI accelerator (up to 15x faster than the CPU). Pitch a device that predicts when something's about to break, and one could be yours. Applications close Sunday, October 25th! https://t.co/ES1sxyfkpz https://t.co/mdYyN0wZ6v
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 13 interactions against 159K followers, an engagement rate of 0.008%. Measured over 39 original posts, its engagement rate beats 18% of 21,185 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 2.3K times each, and 0.572% of those impressions turn into an interaction. That is about 1.43% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 19:00 UTC, and Thursday is the busiest day of the week. Of the 39 posts sampled, 13% carry an image or video and 100% link out. The account's strongest tracked post pulled 106 interactions, about 8.2x its own typical post. Recurring topics include #ai, #devkithq, #edgelablive2026.
- What is Hackster.io's engagement rate on X?
- Hackster.io (@Hacksterio) has an engagement rate of 0.008%, based on the median interactions across 39 original posts from the last 30 days against 159,287 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.008%, Hackster.io sits above the 10th percentile of the 212,270 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 @Hacksterio have real engagement?
- Its engagement rate beats 18% of the tracked X accounts closest to it in follower count (21,185 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 @Hacksterio post?
- Most posts go out around 19:00 UTC, and Thursday is its busiest day, at roughly 1.33 posts per day across the measured window.