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Sahil Lavingia engagement report

@shl - 394K followers on X

Measured over 10 original posts from a 30-day window, last computed on September 29, 2026.

Engagement

Middle of its size range
Per follower
0.067%
of 394K followers
Per impression
0.859%
31K views on a typical post
Reach
7.78%
of its followers see a post
Typical post
264
interactions (median)
Saved
0.067%
20 bookmarks on a typical post
Posting rate
1.6/day
active 50% of days
Peak time
03:00 UTC
Monday

A typical post picks up 264 interactions against 394K followers, an engagement rate of 0.067%. Measured over 10 original posts, its engagement rate beats 64% of 20,444 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 31K times each, and 0.859% of those impressions turn into an interaction. That is about 7.77% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 03:00 UTC, and Monday is the busiest day of the week. Of the 10 posts sampled, 10% carry an image or video, 20% are part of a thread and 20% link out. The account's strongest tracked post pulled 29K interactions, about 109x its own typical post.

Measured over 10 original posts from a 30-day window, last computed on September 29, 2026. Recurring tag: #irs.

Compared with accounts its own size

Sahil Lavingia's engagement rate beats 64% of the tracked X accounts closest to it in follower count (20,444 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 43% 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 0.067%, Sahil Lavingia sits above the 25th percentile of the 204,956 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,956 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

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 03:00 UTC, and Monday 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: 03:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 03:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video10% of posts+111%+108% to +115%34K
Outbound link20% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 10% 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.
  • 20% 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 64 characters, which falls in the under 80 characters band. Across the catalog, posts under 80 characters run 8% below 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

  • Sep 25, 2026109x their median

    This might change whole way of making animation https://t.co/LJv95Rfopq

    27K1.6K54803.2M viewsView on X
  • Mar 23, 202616x their median

    I turned The Minimalist Entrepreneur into 9 Claude Code skills. /find-community — find your people /validate-idea — test before you build /mvp — ship in a weekend /first-customers — sell to 100 people /pricing — charge something /marketing-plan — make fans, not headlines /grow-sustainably — spend less than you make /company-values — define your culture /minimalist-review — gut-check any decision https://t.co/TqtCR7HWe4

    3.7K30221889816K viewsView on X
  • May 28, 202513x their median

    My experience working as a software engineer for the Department of Veterans Affairs, on behalf of DOGE. https://t.co/zmvNNgrAW0

    2.8K208235138951K viewsView on X
  • Aug 6, 20263.8x their median

    Product development at Gumroad is now fully autonomous 📈 https://t.co/x2j3MKViZF

    871295349539K viewsView on X
  • Sep 24, 20263.2x their median

    Looking for someone to give $60,000 to

    65071792093K viewsView on X
  • Aug 6, 20263.2x their median

    This meeting could’ve been a prompt

    7446834940K viewsView on X
  • Aug 12, 20263.0x their median

    Live the life you want to live. If you want to read the code, read the code. If you don’t want read the code, don’t read the code

    71244161729K viewsView on X
  • Sep 1, 20262.7x their median

    We’re hiring software engineers, product designers, and design engineers at the IRS! https://t.co/pzqMStDGuR

    62624567215K viewsView on X
  • Jul 18, 20261.6x their median

    The last thing left to automate at Gumroad is paying taxes. If only…

    3831434104K viewsView on X
  • Jul 28, 20261.5x their median

    AI is capable of running your business. Are you capable of stepping down?

    3251063835K 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.

Recurring topics

#irs

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 264 interactions against 394K followers, an engagement rate of 0.067%. Measured over 10 original posts, its engagement rate beats 64% of 20,444 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 31K times each, and 0.859% of those impressions turn into an interaction. That is about 7.77% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 03:00 UTC, and Monday is the busiest day of the week. Of the 10 posts sampled, 10% carry an image or video, 20% are part of a thread and 20% link out. The account's strongest tracked post pulled 29K interactions, about 109x its own typical post.

What is Sahil Lavingia's engagement rate on X?
Sahil Lavingia (@shl) has an engagement rate of 0.067%, based on the median interactions across 10 original posts from the last 30 days against 394,482 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.067%, Sahil Lavingia sits above the 25th percentile of the 204,956 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 @shl have real engagement?
Its engagement rate beats 64% of the tracked X accounts closest to it in follower count (20,444 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 @shl post?
Most posts go out around 03:00 UTC, and Monday is its busiest day, at roughly 1.6 posts per day across the measured window.

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