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Prafull Billore engagement report

@pbillore141 - 381K followers on X

Measured over 93 original posts from a 30-day window, last computed on October 1, 2026.

Engagement

Bottom quarter for its size
Per follower
0.003%
of 381K followers
Per impression
0.526%
2.3K views on a typical post
Reach
0.6%
of its followers see a post
Typical post
12
interactions (median)
Saved
0.044%
1 bookmarks on a typical post
Posting rate
4.03/day
active 17% of days
Peak time
01:00 UTC
Wednesday

A typical post picks up 12 interactions against 381K followers, an engagement rate of 0.003%. Measured over 93 original posts, its engagement rate beats 20% 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 0.526% of those impressions turn into an interaction. That is about 0.598% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 01:00 UTC, and Wednesday is the busiest day of the week. Of the 93 posts sampled, 17% carry an image or video. The account's strongest tracked post pulled 51K interactions, about 4256x its own typical post.

Measured over 93 original posts from a 30-day window, last computed on October 1, 2026.

Compared with accounts its own size

Prafull Billore's engagement rate beats 20% 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 0.003%, Prafull Billore sits below the 10th percentile of the 211,892 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.146%
p750.693%
p902.61%
p9983.1%
Engagement rate as a share of followers, across the 211,892 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,457 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.025%
50th percentile0.146%
75th percentile0.693%
90th percentile2.61%
99th percentile83.1%

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 01:00 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.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 01:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 01:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
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 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

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.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video17% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 17% 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.
  • 0% 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 203 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 28, 20264256x their median

    I posted this video because it perfectly captures the kind of people who pretend to be on your side while secretly adding to your problems. https://t.co/mNmQtqotJ0

    37K12K8409072.7M viewsView on X
  • Sep 29, 2026896x their median

    President Trump stands alongside Elon Musk, Mark Zuckerberg, Jensen Huang, Speaker Mike Johnson, and other tech leaders at the White House as they meet with the press for a gaggle. https://t.co/1bpLT71hRx

    8.5K1.5K5591812.0M viewsView on X
  • Sep 10, 2026628x their median

    moved to SF and now i have to ask whether “partner” means romantic, business, or venture

    7.0K38910848132K viewsView on X
  • Sep 29, 2026587x their median

    https://t.co/SfpUCcFHH1

    5.9K1.0K574595K viewsView on X
  • Sep 28, 2026587x their median

    孩子和爸爸的久别重逢 https://t.co/Efn6s8COAO

    6.5K352191211.7M viewsView on X
  • Sep 30, 2026577x their median

    Dario is probably thinking, "Finish this sh!t I have to work on ASI before OpenAI and Elon" https://t.co/1vnQcdzsrS

    6.3K27326964519K viewsView on X
  • Sep 28, 2026460x their median

    “If you don’t fail, you’re not even trying.” — Denzel Washington https://t.co/ciOI432z0z

    4.6K899122377K viewsView on X
  • Sep 29, 2026421x their median

    Until it's done, tell no one! https://t.co/O5z8UEOF4A

    4.5K5221512106K viewsView on X
  • Sep 29, 2026176x their median

    Sam Altman (CEO of OpenAI): "You no longer need to write prompts." In just 38 minutes, he explains how to use ChatGPT at a level that most people can't even imagine. It's a talk he gave to Stanford students. A friend sent me the recording last night. After watching it, I realized I was only taking advantage of about 15% of what this tool can really do. Watch it in full and then read the guide I leave below on how to create a system that prompts itself.

    1.9K214435404K viewsView on X
  • Sep 29, 202697x their median

    Combined net worth: $1.75 trillion. https://t.co/izHzeNVUSy

    1.0K69621461K viewsView on X

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 12 interactions against 381K followers, an engagement rate of 0.003%. Measured over 93 original posts, its engagement rate beats 20% 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 0.526% of those impressions turn into an interaction. That is about 0.598% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 01:00 UTC, and Wednesday is the busiest day of the week. Of the 93 posts sampled, 17% carry an image or video. The account's strongest tracked post pulled 51K interactions, about 4256x its own typical post.

What is Prafull Billore's engagement rate on X?
Prafull Billore (@pbillore141) has an engagement rate of 0.003%, based on the median interactions across 93 original posts from the last 30 days against 381,321 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.003%, Prafull Billore sits below the 10th percentile of the 211,892 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 @pbillore141 have real engagement?
Its engagement rate beats 20% 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 @pbillore141 post?
Most posts go out around 01:00 UTC, and Wednesday is its busiest day, at roughly 4.03 posts per day across the measured window.

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