Diogo Almeida engagement report
@CompleteSkeptic - 151K followers on X
Measured over 12 original posts from a 30-day window, last computed on September 16, 2026.
Engagement
A typical post picks up 111 interactions against 151K followers, an engagement rate of 0.131%. Measured over 12 original posts, its engagement rate beats 56% of 15,519 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 48K times each, and 0.231% of those impressions turn into an interaction. That is about 31.9% 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, though only 33% of days saw any activity at all. Most posts go out around 17:00 UTC, and Wednesday is the busiest day of the week. Of the 12 posts sampled, 33% carry an image or video and 42% link out. The account's strongest tracked post pulled 65K interactions, about 587x its own typical post.
Measured over 12 original posts from a 30-day window, last computed on September 16, 2026. Recurring tag: #stoptypesafe.
Compared with accounts its own size
Diogo Almeida's engagement rate beats 56% of the tracked X accounts closest to it in follower count (15,519 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 12% 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 0.131%, Diogo Almeida sits above the 50th percentile of the 157,102 accounts in this comparison. That places it in the above the median band, which runs 0.128% to 0.604%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.003% |
| 25th percentile | 0.022% |
| 50th percentile | 0.128% |
| 75th percentile | 0.604% |
| 90th percentile | 2.32% |
| 99th percentile | 83.4% |
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 17:00 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 | 33% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 42% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -3% | -3% to -2% | 54K |
- 33% 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.
- 42% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 168 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 4, 2026587x their median
boarding was solved mathematically in 2008. no airline has used it once. why? https://t.co/5XtS0ksGbd
- Jul 29, 202618x their median
Presenting my grand unified theory of ML researcher impact: Your impact is directly proportional to how much pain you cause to infra. Fundamentally, you can only inflict pain upon infra if your approach actually works. And the better your approach works the more pain infra is forced to endure. So, to give some examples: - MoE's add a ton of data-dependent computation => pain (shazeer++) - GDN/KDA are the most complex architecture I've been forced to care about and a very annoying matrix inversion => pain (sonta++) - Muon is much more annoying than Adam and causes annoying restrictions on parallelism => pain (keller/jeremy++) - RL scaling forced many researchers to care about LLM inference and RL infra as a category => pain (tworek++) Even papers like Attention Is All You Need have lead to significant pain! Before transformers were invented everyone was running small jobs and I never needed to think about kv-caches or 6D parallelism.
- Aug 6, 20269.5x their median
Amazing how little the AI landscape in August resembles the AI landscape in July, which was very unlike the AI landscape in June.
- Sep 16, 20268.4x their median
Tested @typesafeai's claim that their new model Jev delivered "comparable... intelligence" to GPT-5.6 Terra on "System 1" tasks. To do this, I compare both models on multiple-choice benchmarks (MMLU, GPQA, etc.). Set reasoning=none for Terra for sys 1. Result: Jev is Terra-tier. https://t.co/V45kvEh4vY
- Sep 16, 20267.8x their median
Ran @typesafeai's Jev against an existing classifier eval that previously used Gemini 2.5 Flash Lite. It won both on quality (saturated the eval) and speed (6x) https://t.co/ghZhB2lrtV
- Sep 16, 20265.6x their median
our @typesafeai business account was compromised!! we're working hard on getting it back we didn't imagine #stoptypesafe would start off so soon 😅
- Sep 16, 20262.8x their median
We benchmarked fx auto mode (safety) classifier with @typesafeai's Jev. tl;dr: ~5-18x faster and more accurate than 𝚐𝚙𝚝-𝟻.𝟼-𝚕𝚞𝚗𝚊, our current top choice https://t.co/3G8tpRz7AG
- Sep 16, 20261.7x their median
made some deals tonight! we're going to rest up, but the goal is to get >= 50% off the waitlist tomorrow (assuming not too many sign up overnight) we also will be doing AMA on our discord at 4p-5:30pm: https://t.co/63eKlKPOHc (it was so much fun today! I also go off the rails, which some of you may enjoy)
- Aug 7, 2026
"The Time of Sol and Fable" goes kinda hard as a scifi title honestly
- Sep 15, 2026
about to do a quick AMA on discord: https://t.co/W1QzuqoAQj
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
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 111 interactions against 151K followers, an engagement rate of 0.131%. Measured over 12 original posts, its engagement rate beats 56% of 15,519 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 48K times each, and 0.231% of those impressions turn into an interaction. That is about 31.9% 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, though only 33% of days saw any activity at all. Most posts go out around 17:00 UTC, and Wednesday is the busiest day of the week. Of the 12 posts sampled, 33% carry an image or video and 42% link out. The account's strongest tracked post pulled 65K interactions, about 587x its own typical post.
- What is Diogo Almeida's engagement rate on X?
- Diogo Almeida (@CompleteSkeptic) has an engagement rate of 0.131%, based on the median interactions across 12 original posts from the last 30 days against 150,822 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.131%, Diogo Almeida sits above the 50th percentile of the 157,102 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 @CompleteSkeptic have real engagement?
- Its engagement rate beats 56% of the tracked X accounts closest to it in follower count (15,519 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 @CompleteSkeptic post?
- Most posts go out around 17:00 UTC, and Wednesday is its busiest day, at roughly 1.6 posts per day across the measured window.