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Tech in Asia engagement report

@techinasia - 433K followers on X

Measured over 83 original posts from a 30-day window, last computed on October 1, 2026.

Engagement

Bottom 10% for its size
Per follower
0.001%
of 433K followers
Per impression
0.096%
2.1K views on a typical post
Reach
0.49%
of its followers see a post
Typical post
2
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
2.8/day
active 47% of days
Peak time
08:00 UTC
Tuesday

A typical post picks up 2 interactions against 433K followers, an engagement rate of 0.001%. Measured over 83 original posts, its engagement rate beats 7% of 20,182 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.1K times each, and 0.096% of those impressions turn into an interaction. That is about 0.484% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.8 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 08:00 UTC, and Tuesday is the busiest day of the week. Of the 83 posts sampled, 61% carry an image or video and 98% link out. The account's strongest tracked post pulled 40 interactions, about 20x its own typical post.

Measured over 83 original posts from a 30-day window, last computed on October 1, 2026. Recurring tag: #tiaconference2026.

Compared with accounts its own size

Tech in Asia's engagement rate beats 7% of the tracked X accounts closest to it in follower count (20,182 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 6% 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 0.001%, Tech in Asia sits below the 10th percentile of the 202,259 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.142%
p750.672%
p902.54%
p9982.5%
Engagement rate as a share of followers, across the 202,259 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,930 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 percentile0.142%
75th percentile0.672%
90th percentile2.54%
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 08:00 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: 08:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 08:00 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 video61% of posts+111%+108% to +115%34K
Outbound link98% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 61% 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.
  • 98% 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 191 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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, 202620x their median

    Customer-facing AI needs more than guardrails. At #TIAConference2026, @ye_dennis of @aiseerco leads a workshop on validation, hallucination detection, and how enterprises can stop AI from giving wrong answers to customers. Learn more: https://t.co/yRfqrjI14E https://t.co/okWtvxogYI

    2447510K viewsView on X
  • Aug 26, 20265.5x their median

    After years of delays, GCash may finally be going public. Mynt has board approval to pursue a Philippine IPO, reportedly targeting an US$8B valuation. If successful, it could open the door for more fintech IPOs in the country. 👀 https://t.co/oRJvFgnlA3 https://t.co/SClvnHMFfF

    50602.5K viewsView on X
  • Aug 26, 20264.5x their median

    Prediction markets are booming, with global trading volume expected to top US$240B this year. Now Singapore-based https://t.co/aNmnvWCq5u is betting on Asia. Can https://t.co/aNmnvWCq5u build an Asian prediction market giant? https://t.co/3J7tgN9z3P https://t.co/lqYYN3CR3C

    52113.3K viewsView on X
  • Sep 27, 20263.5x their median

    Southeast Asia learned to order food and shop online. Digital healthcare has been a different story. Only 1 in 5 people in the region have used telehealth. Full story: https://t.co/79wkxdXat4 https://t.co/tfCeFGkC5b

    40302.6K viewsView on X
  • Sep 26, 20263.5x their median

    Cleaning robots are becoming a labor-shortage solution. LionsBot expects US$38.9M revenue this year and is targeting EBITDA profitability in H2 2027. Full story: https://t.co/B42OvSfNzU https://t.co/C7zJ9HEEgu

    30402.3K viewsView on X
  • Aug 27, 20263.5x their median

    Talk is cheap - until it converts. Omnichat’s Omni AI helps brands turn scattered chats across platforms into coordinated customer journeys for timely follow-ups and stronger conversion. Book a free demo: https://t.co/64VatR1lgY https://t.co/tJZFKhHomU

    30402.1K viewsView on X
  • Sep 7, 20263.0x their median

    Workers across Southeast Asia are turning everyday jobs into a side hustle: recording themselves for robot training. Could Southeast Asia capture more than just the low-value end of the robotics data economy? https://t.co/pupm04YPa5 https://t.co/CfjyFSEmzy

    30212.7K viewsView on X
  • Oct 1, 20262.5x their median

    Vietnamese SaaS startup SoBanHang serves ~800,000 merchants. Now it wants SMEs to skip traditional ERP systems altogether. Its AI-native FinanOne platform automates bookkeeping, invoice matching, reconciliation, cash flow and more using plain language. https://t.co/73krzj5spX https://t.co/FofZyIuz5j

    2030740 viewsView on X
  • Sep 30, 20262.5x their median

    Solving the context gap for fast-growing software companies https://t.co/XUDxlUKpNK

    21203.5K viewsView on X
  • Sep 28, 20262.5x their median

    Vietnam’s software industry has spent years selling one message: We’re cheaper. When AI can help developers write code, tests and documentation faster, hourly rates tell buyers less about the value they’ll get. Read more: https://t.co/4BjeyjmBTf https://t.co/R25aNpsDG5

    20212.5K 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

#tiaconference2026

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 2 interactions against 433K followers, an engagement rate of 0.001%. Measured over 83 original posts, its engagement rate beats 7% of 20,182 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.1K times each, and 0.096% of those impressions turn into an interaction. That is about 0.484% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.8 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 08:00 UTC, and Tuesday is the busiest day of the week. Of the 83 posts sampled, 61% carry an image or video and 98% link out. The account's strongest tracked post pulled 40 interactions, about 20x its own typical post.

What is Tech in Asia's engagement rate on X?
Tech in Asia (@techinasia) has an engagement rate of 0.001%, based on the median interactions across 83 original posts from the last 30 days against 433,051 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, Tech in Asia sits below the 10th percentile of the 202,259 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 @techinasia have real engagement?
Its engagement rate beats 7% of the tracked X accounts closest to it in follower count (20,182 accounts), which puts it in the bottom 10% 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 @techinasia post?
Most posts go out around 08:00 UTC, and Tuesday is its busiest day, at roughly 2.8 posts per day across the measured window.

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