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Growth Labs engagement report

@growthhub_ - 505K followers on X

Measured over 2 original posts from a 30-day window, last computed on August 28, 2026.

Engagement

Per follower
0.042%
of 505K followers
Per impression
0.893%
23K views on a typical post
Reach
4.65%
of its followers see a post
Typical post
210
interactions (median)
Saved
0.605%
142 bookmarks on a typical post
Posting rate
1.43/day
active 10% of days
Peak time
13:00 UTC
Monday

Early reading. We have captured 2 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 210 interactions against 505K followers, an engagement rate of 0.042%. Posts are seen about 23K times each, and 0.893% of those impressions turn into an interaction. That is about 4.64% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 13:00 UTC, and Monday is the busiest day of the week. Of the 2 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 2.5K interactions, about 12x its own typical post. Only 2 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 2 original posts from a 30-day window, last computed on August 28, 2026.

Where this sits in the catalog

At 0.042%, Growth Labs sits above the 25th percentile of the 36,759 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.

p100.002%
p250.012%
p50 (median)0.08%
p750.434%
p902.10%
p99160.4%
Engagement rate as a share of followers, across the 36,759 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 106,964 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 percentile0.08%
75th percentile0.434%
90th percentile2.10%
99th percentile160.4%

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 13:00 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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 13:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%51K
01:00 UTC-2%52K
02:00 UTC-3%50K
03:00 UTC-4%54K
04:00 UTC-6%43K
05:00 UTC-4%42K
06:00 UTC-4%48K
07:00 UTC-5%52K
08:00 UTC-4%61K
09:00 UTC-3%70K
10:00 UTC-2%72K
11:00 UTC-3%79K
12:00 UTC-2%87K
13:00 UTC-3%95K
14:00 UTC-4%98K
15:00 UTC-2%101K
16:00 UTC-4%99K
17:00 UTC-2%91K
18:00 UTC-1%85K
19:00 UTC-1%80K
20:00 UTC-1%75K
21:00 UTC-1%66K
22:00 UTC-2%58K
23:00 UTC-2%52K
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 5%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+4%232K
Monday0%290K
Tuesday-2%281K
Wednesday-1%252K
Thursday-2%245K
Friday-3%254K
Saturday+3%228K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 3, 202412x their median

    We’ve been told that money is the only type of wealth. This is a lie. The 4 types of wealth you MUST understand: 1 Financial 2 Social 3 Physical 4 Time Most people prioritize 1 & 2 their whole life only to realize when they're told that 3 & 4 are the most important ones. Let’s walk through each to form a more comprehensive view of wealth: Financial Wealth This is the most commonly understood type of wealth. It's generally what people mean when they say someone is wealthy. Financial wealth is all about money—the money or financial assets that an individual has accumulated. Social Wealth Social wealth is about our connection to others in our respective worlds—our relationships. True social wealth wealth is built through the cultivation of meaningful relationships. Spend time building a T-shaped web of connectivity—broad and deep. Build an army of mentors and friends. Cultivate deep relationships, but also embrace the power of weak ties. Physical Wealth Physical wealth is about your health, fitness, and vitality. It is perhaps the most critical—and under-appreciated—type of wealth. Without physical wealth, it is effectively impossible to experience and enjoy the benefits of any of the other types of wealth. Physical health is built through the long-term compounding of daily actions. There are 3 broad buckets: • Exercise—daily movement • Nutrition—mostly real foods • Sleep—good sleep habits It's never too late to start building—or restoring—physical wealth. Health is wealth. Time Wealth Time wealth is about the freedom to choose: • How to spend your time • Who to spend it with • Where to spend it • When to trade it for other types of wealth Time wealth is also about an appreciation for the precious nature of time—of its value and importance. Too many people fail to realize the value of this precious asset until it is gone. Treat time as your ultimate currency—it’s all you have and you can never get it back. NEVER let the pursuit of financial wealth rob you of your time and physical wealth. Want to take the first step to building your own business and creating wealth? Here's your playbook: https://t.co/BN6JaUdGCu

    1.8K59213725332K viewsView on X
  • Aug 27, 20261.7x their median

    Mesh cleanup, UV unwrapping, and texture baking are live on Customuse. AI gives you amazing meshes with messy topology and broken UVs. Not good enough for production. Now: generate → clean → unwrap → bake. All in one place. Live now. https://t.co/vZkaNBQe6Z

    27741301937K viewsView on X
  • Aug 10, 2026

    Ray Kurzweil said something recently that stopped me mid-thought. His take is that AIs are heading toward a point where they’ll be so convincingly “alive” that we’ll start treating them as conscious by default. Not because anyone finally cracks the hard problem, but because refusing to will feel increasingly pointless. He noted we’re already partway there. People are using AI therapists, and some users are beginning to relate to them as if there’s someone real on the other side. As the systems get sharper, that instinct to grant them inner lives will spread. In Kurzweil’s view, the transition won’t be gradual for long. Once AIs reliably display every outward signature we associate with consciousness, most of society won’t bother drawing a line. It’s a subtle prediction with huge consequences. Our working meaning of “person”, or at least “mind”, could quietly update itself far faster than we expect. So what’s your guess: how soon before we act like AIs are conscious? Interested in AI? Follow @AiEvolutio58513 and never fall behind. I track ChatGPT, Claude, and every tool quietly changing how we work and create, then hand you the tested signals.

    29184110K 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.

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Reading these numbers

A typical post picks up 210 interactions against 505K followers, an engagement rate of 0.042%. Posts are seen about 23K times each, and 0.893% of those impressions turn into an interaction. That is about 4.64% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 13:00 UTC, and Monday is the busiest day of the week. Of the 2 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 2.5K interactions, about 12x its own typical post. Only 2 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 Growth Labs's engagement rate on X?
Growth Labs (@growthhub_) has an engagement rate of 0.042%, based on the median interactions across 2 original posts from the last 30 days against 505,357 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.042%, Growth Labs sits above the 25th percentile of the 36,759 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 @growthhub_ have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @growthhub_ post?
Most posts go out around 13:00 UTC, and Monday is its busiest day, at roughly 1.43 posts per day across the measured window.

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