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Tech in Asia engagement report

@techinasia - 383K followers on X

Measured over 58 original posts from a 30-day window, last computed on September 1, 2026.

Engagement

Bottom 10% for its size
Per follower
0.001%
of 383K followers
Per impression
0.066%
3.0K views on a typical post
Reach
0.8%
of its followers see a post
Typical post
2
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
2.03/day
active 27% of days
Peak time
08:00 UTC
Tuesday

A typical post picks up 2 interactions against 383K followers, an engagement rate of 0.001%. Measured over 58 original posts, its engagement rate beats 3% of 3,882 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 3.0K times each, and 0.066% of those impressions turn into an interaction. That is about 0.796% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 08:00 UTC, and Tuesday is the busiest day of the week. Of the 58 posts sampled, 53% carry an image or video and 100% link out. The account's strongest tracked post pulled 36 interactions, about 18x its own typical post.

Measured over 58 original posts from a 30-day window, last computed on September 1, 2026. Recurring tag: #tiaconference2026.

Compared with accounts its own size

Tech in Asia's engagement rate beats 3% of the tracked X accounts closest to it in follower count (3,882 accounts, accounts of similar size (decile 6 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 4% 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 37,459 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.

p100.002%
p250.012%
p50 (median)0.081%
p750.438%
p902.10%
p99159.8%
Engagement rate as a share of followers, across the 37,459 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 106,523 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 percentile0.012%
50th percentile0.081%
75th percentile0.438%
90th percentile2.10%
99th percentile159.8%

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 6%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%52K
01:00 UTC-2%53K
02:00 UTC-3%51K
03:00 UTC-4%55K
04:00 UTC-6%44K
05:00 UTC-4%43K
06:00 UTC-4%49K
07:00 UTC-5%53K
08:00 UTC-4%62K
09:00 UTC-3%71K
10:00 UTC-2%74K
11:00 UTC-3%81K
12:00 UTC-2%89K
13:00 UTC-2%97K
14:00 UTC-3%100K
15:00 UTC-2%104K
16:00 UTC-4%101K
17:00 UTC-3%94K
18:00 UTC-1%87K
19:00 UTC-2%82K
20:00 UTC-1%77K
21:00 UTC-1%68K
22:00 UTC-1%59K
23:00 UTC-2%53K
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 5%Busiest day: Tuesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%236K
Monday0%298K
Tuesday-3%295K
Wednesday-1%255K
Thursday-1%249K
Friday-3%257K
Saturday+3%231K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 27, 202618x 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

    225636.2K 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
  • 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
  • Aug 31, 20262.5x their median

    Prediction markets are booming, with trading volumes expected to top US$240B this year. Now Singapore-based https://t.co/aNmnvWCq5u wants to bring the model to Asia. 👀 Can it build an Asia-first prediction market platform? https://t.co/3J7tgN9z3P https://t.co/IdvToMXoge

    21202.2K viewsView on X
  • Sep 1, 20262.0x their median

    ClickHouse CEO: give AI agents a spending limit https://t.co/QQXRYRzi3V

    21101.2K viewsView on X
  • Aug 30, 20262.0x their median

    Mekong Capital shuns AI-native bets as portfolio firms near IPOs https://t.co/ciiclRc0ck

    10305.1K viewsView on X
  • Aug 28, 20262.0x their median

    AI infrastructure spending has reached a scale where both a boom and bust could shake the global economy. But, we still don’t know how much AI traffic exists or what it really costs. So are we underbuilding for AI — or overbuilding ahead of demand? https://t.co/4SWdTGCy5Z https://t.co/GFFwAPJ0wH

    10211.4K viewsView on X
  • Aug 26, 20262.0x their median

    What happens to a founder’s equity when they enter government? The Nadiem Makarim case exposes a bigger gap in Indonesia’s rules: there’s no clear framework for founders’ private holdings when they take public office. Read the full analysis: https://t.co/BIWcgFOIgr https://t.co/KWkJF6xbYJ

    30103.2K viewsView on X
  • Aug 30, 20261.5x their median

    How healthy are Southeast Asia’s private tech companies? Tech in Asia’s new SEA tech company financial tracker brings together financial data that private companies don’t typically publish in one place. Explore the latest numbers: https://t.co/3ZG6HTzHgJ https://t.co/PAejCEujPf

    20103.2K 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 383K followers, an engagement rate of 0.001%. Measured over 58 original posts, its engagement rate beats 3% of 3,882 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 3.0K times each, and 0.066% of those impressions turn into an interaction. That is about 0.796% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 08:00 UTC, and Tuesday is the busiest day of the week. Of the 58 posts sampled, 53% carry an image or video and 100% link out. The account's strongest tracked post pulled 36 interactions, about 18x 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 58 original posts from the last 30 days against 382,908 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 37,459 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 3% of the tracked X accounts closest to it in follower count (3,882 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 2.03 posts per day across the measured window.

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