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Rohit Ghumare engagement report

@ghumare64 - 89K followers on X

Measured over 7 original posts from a 30-day window, last computed on September 26, 2026.

Engagement

Per follower
0.235%
of 89K followers
Per impression
0.282%
73K views on a typical post
Reach
83.3%
of its followers see a post
Typical post
207
interactions (median)
Saved
0.095%
70 bookmarks on a typical post
Posting rate
0.5/day
active 20% of days
Peak time
08:00 UTC
Friday

Early reading. We have captured 7 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 207 interactions against 89K followers, an engagement rate of 0.235%. Posts are seen about 73K times each, and 0.282% of those impressions turn into an interaction. That is about 82.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.5 post a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 08:00 UTC, and Friday is the busiest day of the week. Of the 7 posts sampled, 71% carry an image or video, 14% are part of a thread and 43% link out. The account's strongest tracked post pulled 37K interactions, about 179x its own typical post. Only 7 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 7 original posts from a 30-day window, last computed on September 26, 2026.

Where this sits in the catalog

At 0.235%, Rohit Ghumare sits above the 50th percentile of the 157,752 accounts in this comparison. That places it in the above the median band, which runs 0.128% to 0.604%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.4%
Engagement rate as a share of followers, across the 157,752 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,056 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 percentile0.003%
25th percentile0.022%
50th percentile0.128%
75th percentile0.604%
90th percentile2.32%
99th percentile83.4%

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 08:00 UTC, and Friday 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: 08:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 08:00 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video71% of posts+111%+108% to +115%34K
Outbound link43% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 71% 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.
  • 43% 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 212 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

  • Jun 22, 2026179x their median

    It’s been a minute. 2015–2018 - Exited FreeCharge. Spent time learning and investing. - Pondered about: Why can't trust be rewarded? Started with $1M of personal capital. - Launched CRED to reward people for paying credit card bills on time. 2019–2025 - Built a system run by a team that values ownership, judgment, and craft. - Grew from 0 to 17M members by aligning incentives with behaviour. - Built several products during COVID lockdowns. - Raised $900M+ from global investors. Did 4 ESOP buybacks. - Made Indiranagar and IPL ads slightly more interesting. - Received a full stack of regulatory licences. - Lost 35 kilos. - Scaled from 0 to ~$325M ( ~₹3,200 crore) in annual revenue across payments, lending, insurance, commerce, wealth, and credit cards. 2026 - First profitable quarter (yet occasionally asked what our business model is) - Raised another $900M from Meta in primary and secondary capital. - Announcing our 5th ESOP buyback. Today CRED is ready for its next phase. I am stepping back and @miten steps in as interim CEO, partnered with an incredibly talented team. He has been heading strategy and finance and suffering me since 2020. I’m stepping away from the operating role and will continue as a shareholder. My commitment doesn’t change. Just the role. Extremely grateful to our members, partners, regulators, and investors who made this possible. And to our board, Shailendra, Micky, Saurabh for their extraordinary conviction. Team CRED, I’ll still expect you to be a 10x version of yourselves. As for me, I’ll be joining Meta to lead WhatsApp globally. Meta comes in as a minority investor in CRED. No access to member data. While it’s come very far, the delta between WhatsApp today and its full potential is massive. I look forward to working with Mark, Chris, and the leadership across Meta for the next step in WhatsApp’s journey. Will, thank you for scaling something the world relies on quietly, and for making this transition smooth. Onwards.

    31K2.3K2.6K1.5K7.9M viewsView on X
  • Jul 3, 202656x their median

    https://t.co/hPiZr1kG7r

    9.6K1.2K2674443.8M viewsView on X
  • Jul 2, 202637x their median

    https://t.co/oMoEAYkqGl

    6.4K8961202793.4M viewsView on X
  • Jun 29, 202637x their median

    Chess engines tell you the best move. But grandmasters are human, they don’t always play it. So I built "Kibitz": a human move predictor for chess broadcasts. I trained this model on my Nvidia RTX 5080. Then I made it run as a business by itself. A channel buys the overlay, Hermes onboards them, charges via @stripe test mode, runs the broadcast, narrates with @NVIDIAAI Nemotron, tracks inference cost, and books its own P&L. I build. Hermes operates. This is my demo and entry for the @NousResearch × @NVIDIAAI × @stripe Hermes Agent Accelerated Business Hackathon.

    6.8K38029497673K viewsView on X
  • Sep 25, 202634x their median

    My god this is such a good speech that every SWE needs to hear. You know what? Every person should hear it Keep the happy memories, eyes on the reality, be excited about the future. That’s the best that anyone can do https://t.co/KKFUXfesFb

    6.0K770115197652K viewsView on X
  • Jun 29, 202623x their median

    Big day for Cursor

    4.0K112441183774K viewsView on X
  • Sep 23, 202622x their median

    "I love Rust! Rust is amazing ...if you never, ever, EVER have to look at it yourself." — @dhh

    3.9K2611992431.8M viewsView on X
  • May 17, 202622x their median

    https://t.co/jKCIAEzai7

    3.6K609111127649K viewsView on X
  • Jun 25, 202620x their median

    OpenCode is completely open source now! https://t.co/nCfvYq7M0l

    3.8K18012931203K viewsView on X
  • Jun 29, 202619x their median

    Has a developer you know lost their peace? Is that developer you? https://t.co/pU31b4lFyQ

    3.4K18721517613M 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 207 interactions against 89K followers, an engagement rate of 0.235%. Posts are seen about 73K times each, and 0.282% of those impressions turn into an interaction. That is about 82.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.5 post a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 08:00 UTC, and Friday is the busiest day of the week. Of the 7 posts sampled, 71% carry an image or video, 14% are part of a thread and 43% link out. The account's strongest tracked post pulled 37K interactions, about 179x its own typical post. Only 7 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is Rohit Ghumare's engagement rate on X?
Rohit Ghumare (@ghumare64) has an engagement rate of 0.235%, based on the median interactions across 7 original posts from the last 30 days against 88,756 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.235%, Rohit Ghumare sits above the 50th percentile of the 157,752 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 @ghumare64 have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @ghumare64 post?
Most posts go out around 08:00 UTC, and Friday is its busiest day, at roughly 0.5 posts per day across the measured window.

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