Pratham engagement report
@Prathkum - 449K followers on X
Measured over 26 original posts from a 30-day window, last computed on August 29, 2026.
Engagement
A typical post picks up 141 interactions against 449K followers, an engagement rate of 0.031%. Measured over 26 original posts, its engagement rate beats 48% of 3,739 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 15K times each, and 0.972% of those impressions turn into an interaction. That is about 3.23% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 13:00 UTC, and Sunday is the busiest day of the week. Of the 26 posts sampled, 23% carry an image or video. The account's strongest tracked post pulled 9.2K interactions, about 65x its own typical post.
Measured over 26 original posts from a 30-day window, last computed on August 29, 2026.
Compared with accounts its own size
Pratham's engagement rate beats 48% of the tracked X accounts closest to it in follower count (3,739 accounts, accounts of similar size (decile 7 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 50% 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 0.031%, Pratham sits above the 25th percentile of the 36,261 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.08% |
| 75th percentile | 0.431% |
| 90th percentile | 2.10% |
| 99th percentile | 160.7% |
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 13:00 UTC, and Sunday 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% | 50K |
| 01:00 UTC | -2% | 51K |
| 02:00 UTC | -3% | 50K |
| 03:00 UTC | -4% | 53K |
| 04:00 UTC | -6% | 43K |
| 05:00 UTC | -4% | 42K |
| 06:00 UTC | -4% | 48K |
| 07:00 UTC | -5% | 51K |
| 08:00 UTC | -4% | 60K |
| 09:00 UTC | -3% | 69K |
| 10:00 UTC | -2% | 71K |
| 11:00 UTC | -3% | 78K |
| 12:00 UTC | -2% | 86K |
| 13:00 UTC | -2% | 93K |
| 14:00 UTC | -3% | 96K |
| 15:00 UTC | -2% | 100K |
| 16:00 UTC | -3% | 97K |
| 17:00 UTC | -2% | 90K |
| 18:00 UTC | -1% | 84K |
| 19:00 UTC | -2% | 79K |
| 20:00 UTC | -1% | 74K |
| 21:00 UTC | -1% | 66K |
| 22:00 UTC | -2% | 57K |
| 23:00 UTC | -2% | 51K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +4% | 229K |
| Monday | 0% | 284K |
| Tuesday | -2% | 273K |
| Wednesday | -1% | 250K |
| Thursday | -2% | 243K |
| Friday | -3% | 251K |
| Saturday | +3% | 226K |
Best tweets
- Aug 28, 202665x 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
- Aug 23, 20264.3x 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.
- Aug 16, 20262.6x their median
Anthropic is so quiet these days!? 👀 They literally didn’t predict that people wouldn’t care about Fable as much as they expected. Launched Opus 5 in a panic. Now nobody is looking forward to Opus 5.1 either. They need another Claude Code moment to build momentum again.
- Aug 24, 20262.2x their median
So ultimately Fable is the most flopped thing Anthropic has ever launched.
- Aug 19, 20262.1x their median
People saying computer science is dead because of AI are usually the ones who think computer science is just coding.
- Aug 27, 20262.1x their median
Fable 5.1 is coming. But Anthropic isn’t creating unnecessary hype around it this time. That makes me think they are locked in on building the best model they can. I am hopeful Anthropic is about to make a strong comeback.
- Aug 25, 20261.9x their median
Most AI companies are actually just UX companies with a very expensive API bill.
- Aug 23, 20261.9x their median
AI is a bubble. And this bubble will burst soon. But people not active on X are in this bubble. Surprisingly, most of them don't even know about Codex and Claude Code. They have no idea what open weight models are. It will be too late by the time they get out of this bubble.
- Aug 23, 2026
Anyone who has used both OpenClaw and Grok Bot, what’s the difference?
- Aug 21, 2026
unpopular opinion: Internet is not ready for the agentic wave. Most of the internet is built considering humans are the prime users. And hence all the code, UI, systems, auth, security are written by humans and for humans. Agents appearing suddenly out of nowhere bypassing and exploiting these systems so easily because they are infinitely times faster than humans at reading code, generating necessary code, finding vulnerabilities, and eventually exploiting them if not stated very clearly in the prompt or harness. Hence, we need a new internet/web before more agents/AI.
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 141 interactions against 449K followers, an engagement rate of 0.031%. Measured over 26 original posts, its engagement rate beats 48% of 3,739 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 15K times each, and 0.972% of those impressions turn into an interaction. That is about 3.23% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 13:00 UTC, and Sunday is the busiest day of the week. Of the 26 posts sampled, 23% carry an image or video. The account's strongest tracked post pulled 9.2K interactions, about 65x its own typical post.
- What is Pratham's engagement rate on X?
- Pratham (@Prathkum) has an engagement rate of 0.031%, based on the median interactions across 26 original posts from the last 30 days against 448,782 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.031%, Pratham sits above the 25th percentile of the 36,261 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 48% of the tracked X accounts closest to it in follower count (3,739 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 13:00 UTC, and Sunday is its busiest day, at roughly 1.7 posts per day across the measured window.