Pratham engagement report
@Prathkum - 449K followers on X
Measured over 30 original posts from a 30-day window, last computed on October 29, 2026.
Engagement
A typical post picks up 75 interactions against 449K followers, an engagement rate of 0.017%. Measured over 30 original posts, its engagement rate beats 41% of 21,185 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 14K times each, and 0.526% of those impressions turn into an interaction. That is about 3.18% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 16:00 UTC, and Thursday is the busiest day of the week. Of the 30 posts sampled, 40% carry an image or video and 17% link out. The account's strongest tracked post pulled 22K interactions, about 295x its own typical post.
Measured over 30 original posts from a 30-day window, last computed on October 29, 2026.
Compared with accounts its own size
Pratham's engagement rate beats 41% of the tracked X accounts closest to it in follower count (21,185 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 32% 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 0.017%, Pratham sits above the 10th percentile of the 212,656 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 | 0.697% |
| 90th percentile | 2.61% |
| 99th percentile | 82.9% |
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 16:00 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 | 40% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 17% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 40% 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.
- 17% 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 252 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
- Sep 7, 2026295x their median
I think I can officially say: we are so back
- Oct 28, 2026231x their median
very weird thing happening rn technical people are sad, they think their skills are now useless non-technical people are desperately wishing they were more technical so they could use agents better
- Aug 28, 2026134x their median
GLM-5.3 is now open-weight. Our most capable model for agentic coding and cyber defense is now available to download, run, and customize. Weights: https://t.co/v1IbWMXxg4 Tech blog: https://t.co/ekQkO83jCv https://t.co/f8XlJksKyf
- Oct 14, 202631x their median
Introducing Agent-Native: an open-source framework for building agentic apps. Agents love walls of text. But humans don't. An agentic app let's you interact with agents through a visual interface. Engage with agents visually, via text, or both at once. Now in beta. https://t.co/zvaLIYcKOl
- Sep 15, 202626x their median
Anthropic CEO: "AI development needs to slow down" OpenAI CEO: "Completely agree" Two months later: Anthropic: Introducing Fable 5.2 OpenAI: Introducing GPT 6.1
- Oct 26, 202619x their median
Microsoft is offering voluntary exit packages to about 60,000 employees That’s roughly 27% of its workforce across the US, Canada, India and the UK Staff must decide in December, and those who accept leave on Dec. 31 https://t.co/HgwfsnUzhK
- Oct 4, 20269.3x their median
Landed in SF. My Uber driver on my way to the hotel is not building a startup. Not even a side project. I’m concerned. https://t.co/5fqoS6UaWR
- Aug 23, 20268.1x their median
Hot take: We don't need GitHub anymore. Or at least we need a new version of it, designed agent-first. GitHub made sense when humans wrote code by hand. Developers needed a place to store code, iterate on it, and keep it backward compatible so if something broke, you could go back to a previous log and fix it. The whole workflow, PRs, issues, review, was built around a human being the one writing and reading every change. Coding has changed now. Agents write code and iterate at lightning speed. Why would an agent waste time reviewing its own code the way a human reviews a PR, when it can just reiterate and fix things in the same breath? The bottleneck GitHub was designed to manage doesn't really exist anymore. We are early, so most agent workflows just bolt onto GitHub because it's what's there, not because it's the right interface. The real shift is from reviewing diffs to grading outcomes. Whatever wins here won't be GitHub with an AI button, it'll be built agent-first from scratch.
- Sep 11, 20267.8x their median
Everyone forgets DeepSeek started this whole open-weight movement. I still remember R1 dropped in Jan 2025 and everyone realized open-weight models could be useful. They were competitive with frontier closed models, which made everyone realize how expensive closed AI is. On paper, DeepSeek V4.1 Flash already beat Astra in SWE bench. DeepSeek V4.1 Flash: 74.2% GPT-6 Astra: 74.1% This number definitely looked inflated and they might increase the compute just to go above 74.1%. But the cost difference is massive. DeepSeek V4.1 Flash (open) → $0.30/$1.20 GPT-6 Astra (closed) → $10/$50 per MTok Open-weight models are something we all should take seriously.
- Oct 20, 20266.9x their median
How he knew that?? Where this data is published?? And UBER pays more than Jane Street, Rubrik etc ??? https://t.co/DCYDCViQtE
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 75 interactions against 449K followers, an engagement rate of 0.017%. Measured over 30 original posts, its engagement rate beats 41% of 21,185 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 14K times each, and 0.526% of those impressions turn into an interaction. That is about 3.18% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 16:00 UTC, and Thursday is the busiest day of the week. Of the 30 posts sampled, 40% carry an image or video and 17% link out. The account's strongest tracked post pulled 22K interactions, about 295x its own typical post.
- What is Pratham's engagement rate on X?
- Pratham (@Prathkum) has an engagement rate of 0.017%, based on the median interactions across 30 original posts from the last 30 days against 448,837 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.017%, Pratham sits above the 10th percentile of the 212,656 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 @Prathkum have real engagement?
- Its engagement rate beats 41% of the tracked X accounts closest to it in follower count (21,185 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 @Prathkum post?
- Most posts go out around 16:00 UTC, and Thursday is its busiest day, at roughly 2.13 posts per day across the measured window.