Saiyam Pathak engagement report
@SaiyamPathak - 65K followers on X
Measured over 35 original posts from a 30-day window, last computed on September 23, 2026.
Engagement
A typical post picks up 17 interactions against 65K followers, an engagement rate of 0.026%. Measured over 35 original posts, its engagement rate beats 28% 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 2.1K times each, and 0.818% of those impressions turn into an interaction. That is about 3.19% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 04:00 UTC, and Tuesday is the busiest day of the week. Of the 35 posts sampled, 37% carry an image or video, 6% are part of a thread and 26% link out. The account's strongest tracked post pulled 6.6K interactions, about 386x its own typical post.
Measured over 35 original posts from a 30-day window, last computed on September 23, 2026.
Compared with accounts its own size
Saiyam Pathak's engagement rate beats 28% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 6 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 34% 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 0.026%, Saiyam Pathak sits above the 25th percentile of the 205,782 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 | 0.679% |
| 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 04:00 UTC, and Tuesday 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 | 37% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 26% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -3% | -3% to -2% | 54K |
- 37% 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.
- 26% 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 174 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
- Sep 15, 2026386x their median
GPT-6 Sol is Coming This week GPT-6 Sol Will be released On Thursday This Week will be a Big Week https://t.co/MRX0ja0SXu
- Sep 11, 2026227x their median
If we kept going like this, I could actually make my million-dollar donation to Omarchy back in two years! https://t.co/RoIB13mErO
- Sep 12, 202684x their median
My agent tells me that inference engineering job openings have doubled in the past 6 months. I think that's an underestimate. Demand for inference has inflected, again. So too has demand for engineers who can operate AI models in production. https://t.co/1NsSj2sz1k
- Sep 15, 202613x their median
Six months ago I was running noisy 3090s with models that looped or stopped mid-task. Now we can code all day long, support regulated customers air-gapped, and red-team our products - without a safety lecture or getting our account banned. https://t.co/2FwTsM7DON
- Aug 25, 20266.1x their median
From today I will be investing more in this platform. This time we grow, I post AI Infra and cloud native, sometimes personal, Kubesimplify activities and projects. if you are in the AI infra space, inference space, Cloudnative space, lets connect 🫡 https://t.co/jSlh7O20lI
- Sep 10, 20263.9x their median
Me and my wife - when we sit on weekends and discuss :) the outcome - https://t.co/hp4kCfPPZq PS - I love Goa https://t.co/RtNqvfmLJt
- Sep 17, 20262.2x their median
Let's go! https://t.co/r371jdGSWL
- Sep 10, 20261.8x their median
Your AI agents run on Kubernetes. Their observability should too. @OpenObserve launched AI Observability on Product Hunt: LLM + agent tracing, evals and annotation, in the same open source Rust platform that does your logs, metrics and traces. https://t.co/ssN5SHbah0 https://t.co/cowdSGLEob
- Sep 15, 20261.7x their median
Ran OpenObserve 1.0 on a 3 node cluster on my Mac for 15 hours. 23 GB of telemetry → 674 MB on disk, index included Full-text search over 4.2M rows: 31 ms, touching 27 MB of 4,159 Whole cluster: 43m CPU, under 600 MiB Full write-up: https://t.co/3hDtNaGvyM
- Sep 14, 20261.5x their median
Slowing the pace of AI? This leads to Local AI getting ahead.
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 17 interactions against 65K followers, an engagement rate of 0.026%. Measured over 35 original posts, its engagement rate beats 28% 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 2.1K times each, and 0.818% of those impressions turn into an interaction. That is about 3.19% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 04:00 UTC, and Tuesday is the busiest day of the week. Of the 35 posts sampled, 37% carry an image or video, 6% are part of a thread and 26% link out. The account's strongest tracked post pulled 6.6K interactions, about 386x its own typical post.
- What is Saiyam Pathak's engagement rate on X?
- Saiyam Pathak (@SaiyamPathak) has an engagement rate of 0.026%, based on the median interactions across 35 original posts from the last 30 days against 65,178 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.026%, Saiyam Pathak sits above the 25th percentile of the 205,782 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 @SaiyamPathak have real engagement?
- Its engagement rate beats 28% 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 @SaiyamPathak post?
- Most posts go out around 04:00 UTC, and Tuesday is its busiest day, at roughly 2.2 posts per day across the measured window.