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Ryan Petersen engagement report

@typesfast - 714K followers on X

Measured over 35 original posts from a 30-day window, last computed on September 1, 2026.

Engagement

Middle of its size range
Per follower
0.044%
of 714K followers
Per impression
0.646%
49K views on a typical post
Reach
6.89%
of its followers see a post
Typical post
314
interactions (median)
Saved
0.043%
21 bookmarks on a typical post
Posting rate
2.3/day
active 70% of days
Peak time
16:00 UTC
Monday

A typical post picks up 314 interactions against 714K followers, an engagement rate of 0.044%. Measured over 35 original posts, its engagement rate beats 56% of 3,882 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 49K times each, and 0.646% of those impressions turn into an interaction. That is about 6.81% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.3 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 16:00 UTC, and Monday is the busiest day of the week. Of the 35 posts sampled, 63% carry an image or video, 11% are part of a thread and 6% link out. The account's strongest tracked post pulled 34K interactions, about 107x its own typical post.

Measured over 35 original posts from a 30-day window, last computed on September 1, 2026.

Compared with accounts its own size

Ryan Petersen's engagement rate beats 56% of the tracked X accounts closest to it in follower count (3,882 accounts, accounts of similar size (decile 8 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 41% 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 0.044%, Ryan Petersen sits above the 25th percentile of the 37,582 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.081%.

p100.002%
p250.012%
p50 (median)0.081%
p750.439%
p902.10%
p99158.1%
Engagement rate as a share of followers, across the 37,582 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 105,409 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 percentile0.439%
90th percentile2.10%
99th percentile158.1%

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 16:00 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 16:00 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%50K
07:00 UTC-5%54K
08:00 UTC-4%62K
09:00 UTC-3%72K
10:00 UTC-2%74K
11:00 UTC-3%81K
12:00 UTC-2%89K
13:00 UTC-2%98K
14:00 UTC-4%101K
15:00 UTC-2%104K
16:00 UTC-3%102K
17:00 UTC-3%94K
18:00 UTC-1%88K
19:00 UTC-2%83K
20:00 UTC-1%77K
21:00 UTC-1%68K
22:00 UTC-2%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: 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+5%237K
Monday0%300K
Tuesday-3%299K
Wednesday-1%256K
Thursday-1%249K
Friday-3%258K
Saturday+3%232K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Jan 22, 2026107x their median

    Never invade Russia in winter Never attack India by Twitter

    30K2.3K8713531.7M viewsView on X
  • Aug 11, 202629x their median

    Bored in your job and want to feel alive again? Just send Mr. Zhang a WhatsApp message https://t.co/mau12xT32A

    7.9K7331893994.4M viewsView on X
  • Aug 12, 202623x their median

    Head of Norways sovereign wealth fund announced they might lose the whole fund and go bankrupt. Then the very next day he announced record profits of $185B just in H1. We need to get this shitposting legend onto X asap, he could be one of the best to ever do it.

    6.9K1727921781K viewsView on X
  • Aug 11, 202612x their median

    Flexport Cambodia office has been blessed by traditional Cambodian dancers. Your shipments will arrive on time this year (after this typhoon clears). https://t.co/HNs2ggT7Cp

    3.5K1047603.2M viewsView on X
  • Aug 5, 20268.7x their median

    Buy yourself some $SPCX so you can watch rocket launches with your children and make your family part of the sci fi future! Note: This is investment advice.

    2.5K6312618257K viewsView on X
  • Aug 10, 20266.8x their median

    We gave our AI agents for logistics an agentic search and memory retrieval graph so now they autonomously learn new skills and capabilities. A major step toward a fully autonomous global supply chain where all the repetitive, error prone work is carried out by super intelligence AI agent swarms.

    1.8K14415420203K viewsView on X
  • Aug 13, 20264.5x their median

    A lesson I just taught a Flexport employee is that there are two lenses you can look at the world through: 1) Doing more work is bad 2) Solving problems is how you make money Always and forever use lens 2. More work is good if it lets you solve important problems.

    1.3K6841868K viewsView on X
  • Aug 26, 20264.0x their median

    YC partners next month https://t.co/x4GC92iM8d

    1.2K3042756K viewsView on X
  • Aug 20, 20263.8x their median

    Asked a leader of a major European company what they’re doing with AI yesterday and he said that they have workers councils so they can’t cut headcount so it’s not like San Francisco. Odd bc I didn’t ask anything about cutting headcount.

    1.1K2644447K viewsView on X
  • Aug 12, 20263.4x their median

    When it comes to container shipping Asia just absolutely mogs North America https://t.co/bWgmpWtZMn

    9564054791K 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 314 interactions against 714K followers, an engagement rate of 0.044%. Measured over 35 original posts, its engagement rate beats 56% of 3,882 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 49K times each, and 0.646% of those impressions turn into an interaction. That is about 6.81% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.3 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 16:00 UTC, and Monday is the busiest day of the week. Of the 35 posts sampled, 63% carry an image or video, 11% are part of a thread and 6% link out. The account's strongest tracked post pulled 34K interactions, about 107x its own typical post.

What is Ryan Petersen's engagement rate on X?
Ryan Petersen (@typesfast) has an engagement rate of 0.044%, based on the median interactions across 35 original posts from the last 30 days against 714,202 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.044%, Ryan Petersen sits above the 25th percentile of the 37,582 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 @typesfast have real engagement?
Its engagement rate beats 56% of the tracked X accounts closest to it in follower count (3,882 accounts), which puts it in the middle of its size range 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 @typesfast post?
Most posts go out around 16:00 UTC, and Monday is its busiest day, at roughly 2.3 posts per day across the measured window.

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