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Steve Tan engagement report

@heystevetan - 44K followers on X

Measured over 3 original posts from a 30-day window, last computed on October 30, 2026.

Engagement

Per follower
0.064%
of 44K followers
Per impression
1.32%
2.1K views on a typical post
Reach
4.81%
of its followers see a post
Typical post
28
interactions (median)
Saved
0.283%
6 bookmarks on a typical post
Posting rate
0.1/day
active 10% of days
Peak time
11:00 UTC
Wednesday

Early reading. We have captured 3 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 28 interactions against 44K followers, an engagement rate of 0.064%. Posts are seen about 2.1K times each, and 1.32% of those impressions turn into an interaction. That is about 4.81% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.1 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 11:00 UTC, and Wednesday is the busiest day of the week. The account's strongest tracked post pulled 4.3K interactions, about 153x its own typical post. Only 3 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 3 original posts from a 30-day window, last computed on October 30, 2026.

Where this sits in the catalog

At 0.064%, Steve Tan sits above the 25th percentile of the 218,281 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.149%.

p100.004%
p250.025%
p50 (median)0.149%
p750.705%
p902.63%
p9982.5%
Engagement rate as a share of followers, across the 218,281 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 21,721 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 percentile0.149%
75th percentile0.705%
90th percentile2.63%
99th percentile82.5%

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 11:00 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: 11:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 11:00 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 video0% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 0% 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 907 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.

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

  • Aug 18, 2026153x their median

    most ppl simply do not realize that before fb the internet was almost entirely anonymous. there was very little personal branding, in fact if you went into chat rooms or forums, you had no idea who was who. not only that but ppl were afraid to put in credit cards on the internet (it was considered dangerous). anonymity or at least pseudo anonymity basically built the internet, & it was incredibly fun until fb came along & changed everything. like i was a 10 year old kid building websites, doing heavy ebay arbitrage, selling things, & no one really knew i was 10 years old. it was a beautiful new world, like a new frontier if you will.

    3.8K25015251136K viewsView on X
  • Oct 26, 202576x their median

    The mask finally slips. The lawsuit against Luke Belmar, his wife, and Capital Club LLC is now public. Every lie. Every manipulation. Every dollar taken. Read it for yourself — the truth doesn’t need filters.👇 Comment “link” and I’ll send you the full lawsuit PDF link. https://t.co/WLkXictqUg

    1.6K92396781.1M viewsView on X
  • Aug 17, 202610x their median

    Tolerance for uncertainty is the only common trait among the ultra successful. https://t.co/9XIY5XwE9q

    24831316.8K viewsView on X
  • Sep 16, 20263.1x their median

    I'm hosting a meetup in KL with my dear friend @shauneng this Sunday I really missed doing this since my last meetup a year ago. So I planned something exciting to do with him. Some context on him: He went from a $5 Upwork gig to generating 9 figs+ in ecom and is the co-founder of Evolve, the largest ecommerce community on Skool. We're dropping sauce on how he did it in a live interview. September 20th, 1–5pm in Kuala Lumpur. It's a ticketed event to keep things tight. We also have 20 seats for a private dinner + shisha with me and Shaun, overlooking the Twin Towers Tickets: https://t.co/tsPDoypd7N Can’t wait to see you guys

    773706.4K viewsView on X
  • Aug 20, 20262.3x their median

    If I could warn you about only one silent business killer, it would certainly be ADHD. It makes you ditch invisible work for new plans. It plagues ambitious people more than strictly lazy ones because starting something new gives you a high that slow boring work never will. During my own time, I built an ecom community to 100k+ members along with a DS business doing $3-4 million/month. Eventually got bored of them and then I started 4-5 new ventures in parallel instead of protecting what was actually working. I spread too thin trying to chase everything at once while profitable businesses suffered from my lack of attention. Laziness is noticeable and can be fuel for smart work, but this ADHD is incredibly fatal because you confuse it with ambition. The only way out of this cycle is having clarity about: What do I want? Why do I want it? What do I need to do? Run a second business, and you learn that your first business lived or died because of the work and not the idea. It's easy to mistake starting something new for actual progress while execution still remains hard.

    556314.6K viewsView on X
  • Sep 21, 20262.0x their median

    First meetup in almost a year and first VIP dinner in years KL showed so much love. 80% of the crowd flew in Live talk with @shauneng on scaling Skool's largest e-com community & gold nuggets of building an e-com brand Then a dinner and intimate conversations with him and quality people Always a delight hosting in Malaysia. Missed this

    4735129K viewsView on X
  • Aug 24, 20261.8x their median

    In the end, it all comes down to the 3 best corners of the internet: >Reddit for builders, niche communities, winning strategies >YouTube for self-learning, tech ideas and founder playbooks >Alibaba supplier forums for manufacturing and bulk sourcing

    423403.0K viewsView on X
  • Sep 26, 20261.6x their median

    People underestimate how far conviction can take them. In 2017, a friend of mine went from “average at business” to nine figures in cash with just one decision. He wasn't the kind of person you look at and say "he will be super successful". But he was really, really good at pattern recognition. At that time, Bitcoin crashed and lost about 84% of its value and everybody was panic selling. But not this guy, he started buying more. Everybody called him crazy, but he was so sure of what he was doing that he went all in and even mortgaged his house. Today he's a multi-nine-figure net worth in cash because of that bet. I asked him later did it feel reckless? He said no, he’d already done the research. He knew where it was going because he studied and researched the market for years. This work helped him form his own unique hypothesis. What stayed with me was his conviction. He wasn't even afraid when everyone thought the market was going to hit 0. Not the loud self-belief kind. The kind of conviction you get from doing the work. That's how I feel about AI. I know I'm early. I know that it's useful. AI doomers are scared of risk because they don't know what's ahead. But you have realise that as long as you take a calculated risk, you don't have to be right every time. You've just got to be right once. That's all it takes.

    373313.2K viewsView on X
  • Sep 28, 2026

    Every founder should read Measure What Matters. It teaches the framework that built Google and it's helped me in building all my businesses. https://t.co/pFK5kiBh0q

    364101.9K viewsView on X
  • Aug 27, 2026

    I've never seen a genius idea beat obsession. People chase ideas and they often come up with unbelievable ones but ultimately the winner is someone who was obsessed with a problem. You can't get lucky with that like ideas and you can't fake it. What you can build is a feel for your own what ifs, the balance between optimism and the right solution. History is a graveyard of outlier ideas that arrived at the wrong time. So it's genuinely hard to time something on purpose, but very possible to develop a feel for it. The way you get there is obsession with your craft. It's what gets you asking "what if there was a solution to a problem I keep running into?" That question is what gets you to something you and people like you actually need, while the obsession is what lets you see where it's headed before anyone else does. "What if there was a better checkout page?" "What if there was a community to actually share ecom strategies?" Both came from things I kept hitting myself when ecom was just taking off, and they became some of the most rewarding work of my life. Many such cases.

    372202.6K 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 28 interactions against 44K followers, an engagement rate of 0.064%. Posts are seen about 2.1K times each, and 1.32% of those impressions turn into an interaction. That is about 4.81% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.1 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 11:00 UTC, and Wednesday is the busiest day of the week. The account's strongest tracked post pulled 4.3K interactions, about 153x its own typical post. Only 3 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 Steve Tan's engagement rate on X?
Steve Tan (@heystevetan) has an engagement rate of 0.064%, based on the median interactions across 3 original posts from the last 30 days against 44,076 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.064%, Steve Tan sits above the 25th percentile of the 218,281 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 @heystevetan have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @heystevetan post?
Most posts go out around 11:00 UTC, and Wednesday is its busiest day, at roughly 0.1 posts per day across the measured window.

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