Back to @Rewkang's profile

Andrew Kang engagement report

@Rewkang - 423K followers on X

Measured over 4 original posts from a 30-day window, last computed on September 25, 2026.

Engagement

Per follower
0.085%
of 423K followers
Per impression
0.294%
123K views on a typical post
Reach
29.0%
of its followers see a post
Typical post
360
interactions (median)
Saved
0.036%
44 bookmarks on a typical post
Posting rate
0.8/day
active 40% of days
Peak time
14:00 UTC
Tuesday

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 360 interactions against 423K followers, an engagement rate of 0.085%. Posts are seen about 123K times each, and 0.294% of those impressions turn into an interaction. That is about 29.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.8 post a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 14:00 UTC, and Tuesday is the busiest day of the week. Of the 4 posts sampled, 75% carry an image or video, 25% are part of a thread and 50% link out. The account's strongest tracked post pulled 1.4K interactions, about 3.8x 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 September 25, 2026.

Where this sits in the catalog

At 0.085%, Andrew Kang sits above the 25th percentile of the 205,048 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 205,048 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 14:00 UTC, and Tuesday 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video75% of posts+111%+108% to +115%34K
Outbound link50% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 75% 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.
  • 50% 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 493 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 27, 20263.8x their median

    After so many demos, models, pilots, robots are still struggling to land real deployments with real customers. Until now. Today we’re excited to share that our robots have successfully crossed the ROI threshold, and Din Tai Fung, one of the highest revenue per location restaurant chain in the US, is rolling out Dyna robots across its extensive restaurant network. This brings our rollouts across hotels, logistics, data centers, and many other use cases to a fleet that reaches hundreds of robots by the first half of 2027. And we’re just getting started. It’s been a wild year, and today we’re double clicking on the battlefield stories and sharing a few learnings about scaling robot deployments. We are just scratching the surface. Read the full blog post: https://t.co/8QVEoQuzBY

    1.1K13953104337K viewsView on X
  • Jul 15, 20263.1x their median

    Announcing @REK - Become a REAL Robot Pilot with our humanoid fighting sim. Top 2 players this weekend qualify for REK2: The first 6 foot tall Humanoid fight in the West on August 15 (Fighting T800s!) Thank You to 8VC and RoboStrategy for co-leading our seed round last year! https://t.co/3LxXDBwuCu

    8401229072519K viewsView on X
  • Jul 27, 20261.6x their median

    https://t.co/XzLSqiKGYY

    433555437276K viewsView on X
  • Jul 20, 20261.5x their median

    There’s a 400k welder labor shortage in the US alone and the average welder is 55 years old @PathRobotics is training robot dogs and other general purpose robots to weld https://t.co/W8dP4Du5Mr

    4852240782K viewsView on X
  • Sep 15, 2026

    We just visited Figure and it was 94 degrees out and the robots were everywhere outside and had no issue with the heat These robots are built to last https://t.co/9wTDkHm0sr

    35327477194K viewsView on X
  • Jul 29, 2026

    Standard Bots - A Short Film An inside look at @StandardBots and the team helping shape the future of the US robotics industry https://t.co/2bI5MpXL4z

    28841281186K viewsView on X
  • Aug 4, 2026

    The notion that all hardware is a commodity business is going to be flipped on its head this decade Unitree's IPO filings show that it has ~60% gross margins, higher than most AI labs Durable, high quality robots are going to be supply constrained. Developer and skill ecosystems will create moats around certain robot platforms. Companies that can create an amazing product will command brand premiums The force of capitalism is expanding beyond bits https://t.co/IuABRqQXtZ

    2532326570K viewsView on X
  • Sep 22, 2026

    I recently talked with Forbes on where @Robostrategy sees the Humanoid space going. In the next few years we will pass the intelligence threshold to bring humanoid demand to the hundreds of millions, however manufacturing will be a key constraint. We could see millions of humanoids produced by 2029, with widespread adoption in homes by the early 2030s. https://t.co/jiqw6nT7OT

    2192237951K viewsView on X
  • Aug 25, 2026

    RoboStrategy published our first Shareholder Letter, and in it we discuss our outlook on Robotics industry. While we've already reached the GPT-3 era, there won't be a ChatGPT moment. The adoption curve will be somewhere between AI chatbots and autonomous vehicles. There will be no single day where it clicks for the global consciousness, but nonetheless a rapid permeation of new autonomous machines of all shapes and sizes. Physical AI is already getting really good for a variety of use cases, but we can't instantly supply millions of robots to customers like we can with AI instances. By next year, intelligence will no longer be the bottleneck, it will be the actual robots. https://t.co/ZqzJwj81nc

    2292129235K viewsView on X
  • Jul 30, 2026

    Bringing private robotics exposure to the public markets https://t.co/XGYHNtdJeO

    2262028239K 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.

Buy or sell Twitter (X) accounts - escrow-protected

PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.

Reading these numbers

A typical post picks up 360 interactions against 423K followers, an engagement rate of 0.085%. Posts are seen about 123K times each, and 0.294% of those impressions turn into an interaction. That is about 29.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.8 post a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 14:00 UTC, and Tuesday is the busiest day of the week. Of the 4 posts sampled, 75% carry an image or video, 25% are part of a thread and 50% link out. The account's strongest tracked post pulled 1.4K interactions, about 3.8x 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 Andrew Kang's engagement rate on X?
Andrew Kang (@Rewkang) has an engagement rate of 0.085%, based on the median interactions across 4 original posts from the last 30 days against 422,514 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.085%, Andrew Kang sits above the 25th percentile of the 205,048 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 @Rewkang have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @Rewkang post?
Most posts go out around 14:00 UTC, and Tuesday is its busiest day, at roughly 0.8 posts per day across the measured window.

Keep going