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Jaymin Shah engagement report

@JayminSOfficial - 90K followers on X

Measured over 4 original posts from a 30-day window, last computed on August 28, 2026.

Engagement

Per follower
0.314%
of 90K followers
Per impression
0.621%
45K views on a typical post
Reach
50.5%
of its followers see a post
Typical post
282
interactions (median)
Saved
0.1%
46 bookmarks on a typical post
Posting rate
0.57/day
active 20% of days
Peak time
04:00 UTC
Friday

Early reading. We have captured 4 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 282 interactions against 90K followers, an engagement rate of 0.314%. Posts are seen about 45K times each, and 0.621% of those impressions turn into an interaction. That is about 50.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.57 post a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 04:00 UTC, and Friday is the busiest day of the week. Of the 4 posts sampled, 25% carry an image or video and 100% link out. The account's strongest tracked post pulled 27K interactions, about 95x its own typical post. Only 4 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 4 original posts from a 30-day window, last computed on August 28, 2026.

Where this sits in the catalog

At 0.314%, Jaymin Shah sits above the 50th percentile of the 37,996 accounts in this comparison. That places it in the above the median band, which runs 0.081% to 0.439%.

p100.002%
p250.012%
p50 (median)0.081%
p750.439%
p902.10%
p99154.7%
Engagement rate as a share of followers, across the 37,996 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 96,714 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 percentile0.002%
25th percentile0.012%
50th percentile0.081%
75th percentile0.439%
90th percentile2.10%
99th percentile154.7%

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 04:00 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: 04:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 04:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%53K
01:00 UTC-2%54K
02:00 UTC-3%52K
03:00 UTC-4%56K
04:00 UTC-6%45K
05:00 UTC-4%43K
06:00 UTC-4%50K
07:00 UTC-5%54K
08:00 UTC-4%63K
09:00 UTC-3%72K
10:00 UTC-2%75K
11:00 UTC-3%82K
12:00 UTC-2%90K
13:00 UTC-2%99K
14:00 UTC-3%102K
15:00 UTC-2%105K
16:00 UTC-4%103K
17:00 UTC-3%95K
18:00 UTC-1%89K
19:00 UTC-2%84K
20:00 UTC-1%78K
21:00 UTC-1%69K
22:00 UTC-2%60K
23:00 UTC-2%54K
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 5%Busiest day: Friday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%239K
Monday0%303K
Tuesday-3%305K
Wednesday-1%259K
Thursday-2%251K
Friday-3%260K
Saturday+3%234K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Jul 16, 202695x their median

    01001000 01100001 01110000 01110000 01111001 00100000 01001110 01100001 01110100 01101001 01101111 01101110 01100001 01101100 00100000 01000001 01001001 00100000 01000100 01100001 01111001

    20K2.7K2.7K1.2K6.3M viewsView on X
  • Jul 28, 202682x their median

    Today we’ve raised $52M Seed and we are announcing the public launch of S2.1 Pro. >It can clone a voice from 5 seconds of audio >2x faster than Cartesia & 1/6th the cost of Eleven Labs >most expressive model with word level control over emotion, intonation, pacing etc We support frontier AI companies including HeyGen, LiveKit, Retell, Sanas, and OpenArt all run our model in production. If you're a business and we can't cut your voice AI costs by 50%, we'll give you 1 year of Fish Audio for free. Book a demo: https://t.co/vHkyZf9JoG To celebrate our first birthday, we'll give you 1 month of S2.1 Pro for free. Like, retweet, and comment “Fish” to get it.

    14K3.6K5.0K7036.2M viewsView on X
  • Jun 2, 202611x their median

    AI can now make you a great parent. Introducing Ollie: the world’s first AI family assistant that manages your family life better than any human. Here’s how it works: https://t.co/EqPpX8PUKW

    2.1K2046012142.1M viewsView on X
  • Jun 1, 20268.9x their median

    AI agents turn every employee into a security risk. Introducing Agent Handler for Employees: secure AI access for every employee. We’ll give you $10K if you get sensitive info from @JeanelleAgent. https://t.co/8za4QASJiV

    1.7K310474621.2M viewsView on X
  • Jun 29, 20265.2x their median

    Introducing CLODO, trusted by @mercor, @usnews, @UseCorgi, the U.S. Intelligence Community, and more. Describe exactly who you’re looking for, and find them every single time. 1.2B profiles. We find, enrich, and reach out to them for you. It’s that easy. Backed by @YCombinator, @CRV, @daltonc and @paultoo at @Standard_Cap, @louisberyl at Four Cities Capital, @theo, and more incredible angels. Book a demo today: https://t.co/z29n2F6U7b

    1.0K264138571.2M viewsView on X
  • Jun 8, 20262.2x their median

    Coding agents that actually get better the more your team uses them. Introducing Hivemind: continual learning for AI coding agents. Hivemind turns the traces from every agent your team runs (Claude Code, Codex, Cursor, Hermes, OpenClaw, Pi) into reusable skills, then pushes those skills across all of them. All on your cloud storage. Now with SkillOpt built in, your skills get trained: +19.1 points of accuracy in Claude Code, +24.8 in Codex, best or tied on all 52 setups tested. Open source, one line install.

    4205610157422K viewsView on X
  • Jul 16, 20261.6x their median

    Open source is dying. We raised over $800M to save it. Chainguard is the world’s first infrastructure that stops cyberattacks before they can start: https://t.co/byw9aSkRS5

    313416336838K viewsView on X
  • Jul 16, 20261.6x their median

    Markets can reprice a company in a single day. Building an enterprise AI platform that customers rely on takes years. @IBM's recent stock correction following its preliminary revenue update quickly became the headline. Looking beyond the market reaction, IBM's collaboration with Neudesic, @AMD and @Microsoft offers a different perspective on the company's long-term direction. The AI conversation is gradually moving beyond models. Competitive advantage increasingly comes from connecting AI to enterprise data, business workflows and governance. That is where AI begins delivering measurable business value rather than simply generating responses. Digital workers become meaningful when they can access trusted finance, customer, supply chain and operational data, execute tasks securely and continuously improve through real business context. That requires far more than a powerful model. It requires the right data architecture, infrastructure and governance framework. This is where the next phase of enterprise AI will be won. Models will continue to improve across the industry, making intelligence more accessible. The harder challenge, and the stronger moat, lies in embedding AI into mission-critical workflows that organizations depend on every day. Quarterly results will continue to influence market sentiment. Long-term enterprise value will increasingly be determined by which companies become part of how businesses actually operate! #ArtificialIntelligence #Business #AI #IBM #Neudesic #AMD #Microsoft @IBMResearch #Stocks https://t.co/WR3vpUqbIt

    3675222055K viewsView on X
  • Jul 16, 2026

    The AI race has entered a new phase, and electricity is becoming the deciding factor. Reports suggest Elon Musk acquired APR Energy in a deal valued at more than $1 billion. At first glance, it looks like an energy acquisition. Look deeper, and it becomes an AI infrastructure strategy. For years, the biggest conversation centered around GPUs. Today, power availability is emerging as an equally valuable asset. Even the most advanced chips deliver value only when data centers have reliable electricity. APR Energy brings a fleet of mobile gas and diesel turbines capable of generating more than 1 GW of power. Instead of waiting years for grid connections, capacity can come online within weeks, allowing AI infrastructure to scale much faster. Another interesting aspect is the ownership structure. The acquisition reportedly sits under Musk personally rather than xAI or Tesla. That creates flexibility in allocating power capacity wherever it delivers the greatest strategic advantage across his companies. Every technology cycle has its defining constraint. Cloud computing depended on hyperscale data centers. Smartphones depended on semiconductor manufacturing. AI increasingly depends on access to electricity. The companies that secure power first may end up scaling AI faster than the companies with the biggest GPU clusters. https://t.co/WZDjGjQJqR

    3245625260K viewsView on X
  • Jun 11, 2026

    Having spent some time with WazirX Futures during early access, one thing stood out to me: the focus on accessibility over complexity. Every industry reaches a point where access becomes more important than features. In crypto Futures, one of the biggest barriers has always been cost. Lower fees mean traders keep more capital in play, compound gains more efficiently, and participate with greater confidence. By offering what appears to be the lowest Futures fees among Indian exchanges without volume-based restrictions, @WazirXIndia is aligning incentives across its user base. Sometimes the strongest product decisions are the ones that create a level playing field from the start. @NischalShetty

    3481239374K 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 282 interactions against 90K followers, an engagement rate of 0.314%. Posts are seen about 45K times each, and 0.621% of those impressions turn into an interaction. That is about 50.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.57 post a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 04:00 UTC, and Friday is the busiest day of the week. Of the 4 posts sampled, 25% carry an image or video and 100% link out. The account's strongest tracked post pulled 27K interactions, about 95x its own typical post. Only 4 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 Jaymin Shah's engagement rate on X?
Jaymin Shah (@JayminSOfficial) has an engagement rate of 0.314%, based on the median interactions across 4 original posts from the last 30 days against 89,934 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.314%, Jaymin Shah sits above the 50th percentile of the 37,996 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 @JayminSOfficial have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @JayminSOfficial post?
Most posts go out around 04:00 UTC, and Friday is its busiest day, at roughly 0.57 posts per day across the measured window.

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