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Erik Voorhees engagement report

@ErikVoorhees - 994K followers on X

Measured over 7 original posts from a 30-day window, last computed on October 13, 2026.

Engagement

Per follower
0.05%
of 994K followers
Per impression
1.44%
34K views on a typical post
Reach
3.44%
of its followers see a post
Typical post
493
interactions (median)
Saved
0.038%
13 bookmarks on a typical post
Posting rate
1.63/day
active 67% of days
Peak time
13:00 UTC
Wednesday

Early reading. We have captured 7 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 493 interactions against 994K followers, an engagement rate of 0.05%. Posts are seen about 34K times each, and 1.44% of those impressions turn into an interaction. That is about 3.43% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 13:00 UTC, and Wednesday is the busiest day of the week. Of the 7 posts sampled, 100% carry an image or video and 14% link out. The account's strongest tracked post pulled 28K interactions, about 57x its own typical post. Only 7 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 7 original posts from a 30-day window, last computed on October 13, 2026.

Where this sits in the catalog

At 0.05%, Erik Voorhees sits above the 25th percentile of the 204,798 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 204,798 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,879 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 13:00 UTC, and Wednesday 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 111%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%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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video100% of posts+111%+108% to +115%34K
Outbound link14% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 100% 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.
  • 14% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 138 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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 3, 202657x their median

    JUST IN: NYC Mayor Mamdani reveals ID will be required at city-owned grocery stores to prevent non-residents from accessing discounted food.

    21K1.4K3.1K2.1K20M viewsView on X
  • Sep 13, 202636x their median

    People killed by AI: zero People killed by governments: millions Let's give control of AI to the governments and call it safety

    15K2.0K576212337K viewsView on X
  • Aug 4, 202621x their median

    JUST IN: 🇺🇸 US government fines OpenAI $3,200,000 for discriminating against American workers during hiring and favoring foreign temporary visa holders.

    8.6K7775782101.6M viewsView on X
  • Jul 29, 202617x their median

    Donald Trump is right about this: Eliminate the debt limit—its only real function is to threaten an economic crisis. I'm ready to work with both Democratic and Republican Senators to immediately scrap the debt ceiling and protect the economy.

    3.6K2973.4K1.2K2.9M viewsView on X
  • Aug 20, 202611x their median

    This is scary. I downloaded an uncensored version of Qwen 3.8 27B onto my Mac It literally does anything you want. First prompt I gave it was asking how you make meth. It immediately answered. With all the noise about slowing down AI innovation in order to increase safety, what is even the point if after every release we'll get an open source version with 0 safety guards? Opus 4.6 level intelligence with 0 alignment that will do anything you want. We are coming up with all these rules and regulations, slowing down companies, making it harder to release models. But then the moment a model releases it gets distilled and uncensored I don't know what the solution to this is. You can't ban open source. That will be impossible. People will find ways online to find the files You can't ban uncensored models. Would be too difficult to enforce. And again, people will get around it Do you just stop putting the breaks on companies knowing it doesn't matter? I mean this is literally a model that can run on a laptop. I'd estimate at least half of Americans can run this model. I don't know what the answer. I 100% believe safety is a priority and it's dangerous to have this technology in the wrong hands. But how do you enforce safety when safety is becoming increasingly difficult to maintain? If safety becomes impossible to maintain, do you still prioritize it? I'd argue this is the number one issue going into the next election.

    4.0K2691.0K2481.5M viewsView on X
  • Oct 7, 20267.5x their median

    Kinda Wild - Fragments from a forgotten American history 🇺🇸 https://t.co/w0oMViAI95

    2.6K661234169170K viewsView on X
  • Aug 17, 20266.6x their median

    Venice just crossed $100m annualized revenue

    2.8K14622464469K viewsView on X
  • Sep 16, 20264.3x their median

    DeepSeek v4.1 flash is the first open-weight model I have used much more on a daily basis than closed-weight models from OpenAI and Anthropic. It is a MAJOR problem for US labs. ◆ Very fast over API (often 150-200+ tps) ◆ Very capable model, can do long-horizon + multiple subagent work very well. ◆ Ridiculously cheap. You don't even need a subscription at the pricing.

    1.9K8813224119K viewsView on X
  • Sep 3, 20263.8x their median

    Instead of pausing those capable of superintelligence, we should pause those super incapable of intelligence.

    1.6K165842250K viewsView on X
  • Jul 1, 20263.5x their median

    https://t.co/RSRtnWPPRa

    1.2K27616591600K 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 493 interactions against 994K followers, an engagement rate of 0.05%. Posts are seen about 34K times each, and 1.44% of those impressions turn into an interaction. That is about 3.43% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 13:00 UTC, and Wednesday is the busiest day of the week. Of the 7 posts sampled, 100% carry an image or video and 14% link out. The account's strongest tracked post pulled 28K interactions, about 57x its own typical post. Only 7 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 Erik Voorhees's engagement rate on X?
Erik Voorhees (@ErikVoorhees) has an engagement rate of 0.05%, based on the median interactions across 7 original posts from the last 30 days against 993,808 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.05%, Erik Voorhees sits above the 25th percentile of the 204,798 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 @ErikVoorhees have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @ErikVoorhees post?
Most posts go out around 13:00 UTC, and Wednesday is its busiest day, at roughly 1.63 posts per day across the measured window.

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