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Lakshya Jain engagement report

@lxeagle17 - 93K followers on X

Measured over 24 original posts from a 30-day window, last computed on August 26, 2026.

Engagement

Top quarter for its size
Per follower
0.621%
of 93K followers
Per impression
1.16%
50K views on a typical post
Reach
53.6%
of its followers see a post
Typical post
578
interactions (median)
Saved
0.076%
38 bookmarks on a typical post
Posting rate
2.13/day
active 53% of days
Peak time
06:00 UTC
Wednesday

A typical post picks up 578 interactions against 93K followers, an engagement rate of 0.621%. Measured over 24 original posts, its engagement rate beats 82% of 4,347 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 50K times each, and 1.16% of those impressions turn into an interaction. That is about 53.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 06:00 UTC, and Wednesday is the busiest day of the week. Of the 24 posts sampled, 38% carry an image or video, 42% are part of a thread and 50% link out. The account's strongest tracked post pulled 124K interactions, about 215x its own typical post.

Measured over 24 original posts from a 30-day window, last computed on August 26, 2026. Recurring tag: #ncpol.

Compared with accounts its own size

Lakshya Jain's engagement rate beats 82% of the tracked X accounts closest to it in follower count (4,347 accounts, accounts of similar size (decile 5 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 50% 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 0.621%, Lakshya Jain sits above the 75th percentile of the 42,087 accounts in this comparison. That places it in the top 25% band, which runs 0.449% to 2.07%.

p100.002%
p250.013%
p50 (median)0.084%
p750.449%
p902.07%
p99143.1%
Engagement rate as a share of followers, across the 42,087 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 84,187 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 percentile0.013%
50th percentile0.084%
75th percentile0.449%
90th percentile2.07%
99th percentile143.1%

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 06:00 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: 06:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 06:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%59K
01:00 UTC-2%60K
02:00 UTC-4%58K
03:00 UTC-4%62K
04:00 UTC-6%50K
05:00 UTC-5%49K
06:00 UTC-5%56K
07:00 UTC-5%61K
08:00 UTC-4%71K
09:00 UTC-4%82K
10:00 UTC-3%84K
11:00 UTC-3%91K
12:00 UTC-2%100K
13:00 UTC-2%110K
14:00 UTC-3%113K
15:00 UTC-2%117K
16:00 UTC-3%114K
17:00 UTC-3%106K
18:00 UTC-2%99K
19:00 UTC-2%93K
20:00 UTC-1%87K
21:00 UTC-1%77K
22:00 UTC-2%67K
23:00 UTC-1%60K
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 5%Busiest day: Wednesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%257K
Monday+1%329K
Tuesday-2%355K
Wednesday-4%323K
Thursday-3%273K
Friday-3%277K
Saturday+3%250K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Mar 13, 2025215x their median

    I'm teaching databases this semester at Berkeley. My students all seem unusually brilliant. Not many go to office hours, and not too many folks post on the course forum asking project questions. Weirdly, the exam had the lowest recorded average in my 10 semesters teaching it.

    117K5.4K1.2K85710M viewsView on X
  • Jul 21, 20269.4x their median

    🚨Red-hot rhetoric from Kalshi, attacking election officials in Wisconsin. Kalshi is accusing them of "voter suppression" and trying to "disenfranchise voters" — for (accurately) notifying residents that state law disqualifies them from voting in any race they wagered on. (1/3)

    5.0K3833760576K viewsView on X
  • Aug 12, 20269.0x their median

    That's that. David Crowley wins Wisconsin's Democratic gubernatorial primary over Francesca Hong, whose campaign has suffered perhaps the most spectacular late implosion in recent memory. Go to sleep.

    4.8K2454740334K viewsView on X
  • Aug 16, 20263.4x their median

    Nate Cohn's piece today independently comes to a similar conclusion: El-Sayed would have to be one of the worst Democratic candidates in the whole country to lose Michigan in this environment. https://t.co/2RUZfEvlyZ

    1.6K16516354588K viewsView on X
  • Jun 17, 20262.6x their median

    Our midterms model is out! House: 🔵 86% (229 D-206 R) Senate: 🔴 56% (50D-50R) https://t.co/w6EmyZoWmu

    1.2K1957336501K viewsView on X
  • Jul 18, 20262.1x their median

    The Wisconsin governor chaos was wholly predictable. We’ve seen this movie before with the GOP. When a party’s base decides they’re done with the establishment, it also means they stop trusting their signals on who can win. Hong would never have sniffed the nomination in 2018.

    1.1K682014114K viewsView on X
  • Aug 13, 20261.9x their median

    Why I think Abdul El-Sayed is still a favorite to win: The average Squad member underperformance is ~5 points. But that'd still yield a victory for Democrats in Michigan because of how unpopular Trump is, and how bad the environment is for the GOP. https://t.co/kKA34yEYEf

    958774418101K viewsView on X
  • Jul 9, 20261.8x their median

    Wrote an autopsy of Platner's campaign for @TheArgumentMag. Platner was already a liability for Democrats before the rape allegation, but polling shows that it wasn't because of the tattoo or Reddit. It was the infidelity. Americans *really* hate cheating https://t.co/V5S6Twjqda

    856946734201K viewsView on X
  • Aug 5, 20261.7x their median

    Among the losers in Michigan: pollsters, and especially the anonymous reports of what pollsters are saying (no, Stevens' pollster did not tell prematurely tell her it was over). This is going to end up as a monumental miss, but nobody will remember it (El-Sayed still won by ~2%) https://t.co/2HbIRIZgEx

    84382371267K viewsView on X
  • Aug 12, 20261.6x their median

    Another take in Minnesota: I think we are very close to a call for progressive Lt. Gov Peggy Flanagan, who's set to defeat the more moderate congresswoman Angie Craig. Craig had a huge spending advantage, but Flanagan was more ideologically aligned with the Dem base.

    8525214867K 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

#ncpol

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 578 interactions against 93K followers, an engagement rate of 0.621%. Measured over 24 original posts, its engagement rate beats 82% of 4,347 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 50K times each, and 1.16% of those impressions turn into an interaction. That is about 53.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 06:00 UTC, and Wednesday is the busiest day of the week. Of the 24 posts sampled, 38% carry an image or video, 42% are part of a thread and 50% link out. The account's strongest tracked post pulled 124K interactions, about 215x its own typical post.

What is Lakshya Jain's engagement rate on X?
Lakshya Jain (@lxeagle17) has an engagement rate of 0.621%, based on the median interactions across 24 original posts from the last 30 days against 93,382 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.621%, Lakshya Jain sits above the 75th percentile of the 42,087 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 @lxeagle17 have real engagement?
Its engagement rate beats 82% of the tracked X accounts closest to it in follower count (4,347 accounts), which puts it in the top 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 @lxeagle17 post?
Most posts go out around 06:00 UTC, and Wednesday is its busiest day, at roughly 2.13 posts per day across the measured window.

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