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Robin Delta engagement report

@heyrobinai - 87K followers on X

Measured over 10 original posts from a 30-day window, last computed on August 31, 2026.

Engagement

Middle of its size range
Per follower
0.117%
of 87K followers
Per impression
0.507%
20K views on a typical post
Reach
23.2%
of its followers see a post
Typical post
102
interactions (median)
Saved
0.348%
70 bookmarks on a typical post
Posting rate
1.9/day
active 43% of days
Peak time
11:00 UTC
Tuesday

A typical post picks up 102 interactions against 87K followers, an engagement rate of 0.117%. Measured over 10 original posts, its engagement rate beats 55% of 3,863 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 20K times each, and 0.507% of those impressions turn into an interaction. That is about 23.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 11:00 UTC, and Tuesday is the busiest day of the week. Of the 10 posts sampled, 90% carry an image or video, 30% are part of a thread and 30% link out. The account's strongest tracked post pulled 283 interactions, about 2.8x its own typical post.

Measured over 10 original posts from a 30-day window, last computed on August 31, 2026.

Compared with accounts its own size

Robin Delta's engagement rate beats 55% of the tracked X accounts closest to it in follower count (3,863 accounts, accounts of similar size (decile 4 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 27% 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 0.117%, Robin Delta sits above the 50th percentile of the 37,350 accounts in this comparison. That places it in the above the median band, which runs 0.081% to 0.437%.

p100.002%
p250.012%
p50 (median)0.081%
p750.437%
p902.10%
p99159.9%
Engagement rate as a share of followers, across the 37,350 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 106,576 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 percentile0.437%
90th percentile2.10%
99th percentile159.9%

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 11:00 UTC, and Tuesday 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: 11:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 11:00 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%49K
07:00 UTC-5%53K
08:00 UTC-4%62K
09:00 UTC-3%71K
10:00 UTC-2%74K
11:00 UTC-3%80K
12:00 UTC-2%88K
13:00 UTC-2%97K
14:00 UTC-4%100K
15:00 UTC-2%103K
16:00 UTC-3%100K
17:00 UTC-3%93K
18:00 UTC-2%87K
19:00 UTC-2%82K
20:00 UTC-1%76K
21:00 UTC-1%67K
22:00 UTC-1%58K
23:00 UTC-1%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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Tuesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%235K
Monday0%296K
Tuesday-3%292K
Wednesday-1%254K
Thursday-2%248K
Friday-3%256K
Saturday+3%230K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 25, 20262.8x their median

    ai slop UGC ads are quietly destroying your ROAS.. the brands scaling hardest in 2026, like IM8, immi and obvi, use real creators, faces and stories. everyone else is racing to the bottom with ai slop. Icon rebuilt its entire workflow around real creators after realizing cheaper AI content doesn’t automatically perform better. tutorial:

    263127135K viewsView on X
  • Jul 14, 20262.4x their median

    Everyone keep talking about how LLMs are good enough now. The LLMs have always sounded confident. I don't buy it. After years running and building document workflows @nutrientdocs (formerly @PSPDFKit), the breakage is in the numbers. A model confidently hallucinates answers from a filing table it never fully saw because a 512-token window chopped the table in half. So we open-sourced grounding-en, a 0.4B model on @huggingface that scores whether a claim is actually entailed by the source. On our open benchmark our two models sit at #1 and #2. The real gap is number grounding: .92 AUC vs .45–.66 from the usual NLI models and we run 8,192 tokens so the table stays intact. Apache-2.0, with a free demo and a benchmark anyone can run. A document workflow gets trustworthy not when the model sounds confident, but when the claim can be checked. If it can't be grounded, it doesn't ship.

    1538732222K viewsView on X
  • Aug 25, 20262.4x their median

    ai video isn't slop anymore wan3.0 just solved the #1 problem in ai video.. character consistency it just dropped on magnific, and people are already calling it the most consistent ai video model out there.. 1080p, synced audio, and the same character throughout an entire story here's how: > https://t.co/I3Ui2zaviu

    224109022K viewsView on X
  • Aug 21, 20261.7x their median

    https://t.co/q6DZU0MP9k

    1401614466K viewsView on X
  • Aug 19, 2026

    this is terrifying.. ai can now find where a photo was taken from the pixels alone > upload a single photo from Instagram, even if the GPS and metadata have been removed > GeoSpy analyzes visual clues most people would ignore: buildings, roads, vegetation, terrain, shadows, even the angle of the sun > it connects those clues to real-world geospatial data and predicts where the photo was taken > seconds later, it returns the coordinates and drops the estimated location onto a 3D map > on clear, detailed images, its enterprise model claims up to meter-level accuracy > which means one harmless photo outside your home, office or hotel could reveal far more than you intended > this used to require skilled OSINT investigators and hours of manual work.. now AI can do it almost instantly two years ago this felt like science fiction.. now the pixels alone can give you away

    1002316318K viewsView on X
  • May 2, 2026

    I JUST SHIPPED! im a dad now last week on april 20th my daughter Jente was born i have to admit, i delayed becoming a dad for a long time. i was scared, insecure, waiting for the perfect moment that never came. the last few years have been brutal. i lost my dad to cancer. my favorite uncle (my godfather) to ALS. my grandma and grandpa in the same week. losing so many people you love is hard to put into words. and now with Jente here, i keep thinking about the ones who aren't, the ones who would've loved meeting her. because of that she's named after my dad. a feminine version of his name, same meaning: God is gracious. it's the least i can do to thank him and keep his name alive. i don't want him forgotten. this past week already feels normal, like she's always been here. and i have to admit @itsolelehmann was right in his tweets i feel exactly what he described. it sounds cliche but i wish i'd started this sooner. the way you think changes. for the first time im feeling the meaning of life. it feels like life just began. im usually not someone who shares personal stuff. maybe i should do it more often. but right now im just too proud to be a father. but she's here. wow.

    72133110.0K viewsView on X
  • Aug 25, 2026

    the driver shortage just became someone else’s problem autonomous trucks are already moving freight for america’s biggest retailers with no driver or safety observer on board gatik removed the driver from its first walmart route in 2021 now it has completed 60,000 fully driverless orders and secured $600M in contracted revenue yet everyone still thinks autonomous trucking is years away.. here’s the full breakdown:

    9682016K viewsView on X
  • Aug 26, 2026

    most ai employees fail because their owners are terrible managers i run an ai agency that helps companies automate the work slowing their teams down if you want an ai employee to be useful, stop giving him vague instructions give him one recurring responsibility, clear inputs and one result to own here’s what that looked like for me at 7:02am, before i’d opened anything, Viktor had already left my morning read in slack everything that moved overnight was sorted by what it would cost me to ignore three things were flagged i didn’t prompt him that morning or build another trigger i gave him ownership of my morning read his job is to make sure i know what changed, what matters and what needs my attention first the result he owns is that i never start the day behind everything else he proposes, i approve before it ships that approval gate is the reason i trust him one job, owned properly, beats ten jobs half assigned the real test of an ai employee is whether the work starts before you do Paid Partnership

    80109020K viewsView on X
  • Aug 30, 2026

    wait this is crazy.. Grok Bot is ridiculously useful while people argue about chatgpt vs claude.. people are using Grok Bot to make money, run businesses, clip content, trade stocks, build games, do research, and handle real work for them 24/7 sounds fake.. it's not 12 insane examples:

    6641918.6K viewsView on X
  • Aug 21, 2026

    China is not slowing down. this time it’s coming for AI agents, the next big market OpenAI and Anthropic want to own. Xiaohongshu, the Chinese company behind RedNote, just released dots3-note preview, an open-weight model built for jobs that can run for days or weeks. > 280B total parameters / 16B active > 512K context window > text + vision + audio According to the team’s own evals, it beats GPT-5.5 and Opus 4.8 across several agent and reasoning benchmarks. One branch also scored a certified 42/42 at IMO 2026 using a custom harness. TEMPO is the most interesting part. Long-running agents often continue in the wrong direction without realizing it. TEMPO lets the same model periodically critique its own progress. That scored 31.5% above the baseline and 20.6% above GRPO on ARC-AGI-3. It hasn’t solved long-running agents. Seven frontier models were tested on VibeLifeBench and none passed. The results are also internal, and 280B parameters won’t run casually on a laptop. But an open-weight Chinese model is now competing on the workloads OpenAI and Anthropic want to own next. They should be paying attention. @dotsstudioai full breakdown below:

    26517735K 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 102 interactions against 87K followers, an engagement rate of 0.117%. Measured over 10 original posts, its engagement rate beats 55% of 3,863 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 20K times each, and 0.507% of those impressions turn into an interaction. That is about 23.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 11:00 UTC, and Tuesday is the busiest day of the week. Of the 10 posts sampled, 90% carry an image or video, 30% are part of a thread and 30% link out. The account's strongest tracked post pulled 283 interactions, about 2.8x its own typical post.

What is Robin Delta's engagement rate on X?
Robin Delta (@heyrobinai) has an engagement rate of 0.117%, based on the median interactions across 10 original posts from the last 30 days against 87,371 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.117%, Robin Delta sits above the 50th percentile of the 37,350 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 @heyrobinai have real engagement?
Its engagement rate beats 55% of the tracked X accounts closest to it in follower count (3,863 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 @heyrobinai post?
Most posts go out around 11:00 UTC, and Tuesday is its busiest day, at roughly 1.9 posts per day across the measured window.

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