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
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%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 100% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 14% 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.
- 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
- 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.
- 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.
- 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.
- Oct 7, 20267.5x their median
Kinda Wild - Fragments from a forgotten American history 🇺🇸 https://t.co/w0oMViAI95
- Aug 17, 20266.6x their median
Venice just crossed $100m annualized revenue
- 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.
- Sep 3, 20263.8x their median
Instead of pausing those capable of superintelligence, we should pause those super incapable of intelligence.
- Jul 1, 20263.5x their median
https://t.co/RSRtnWPPRa
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.