geoff engagement report
@GeoffreyHuntley - 91K followers on X
Measured over 39 original posts from a 30-day window, last computed on September 29, 2026.
Engagement
A typical post picks up 72 interactions against 91K followers, an engagement rate of 0.083%. Measured over 39 original posts, its engagement rate beats 48% of 19,933 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 7.3K times each, and 0.989% of those impressions turn into an interaction. That is about 8.04% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.6 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 07:00 UTC, and Sunday is the busiest day of the week. Of the 39 posts sampled, 51% carry an image or video, 10% are part of a thread and 21% link out. The account's strongest tracked post pulled 7.6K interactions, about 106x its own typical post.
Measured over 39 original posts from a 30-day window, last computed on September 29, 2026.
Compared with accounts its own size
geoff's engagement rate beats 48% of the tracked X accounts closest to it in follower count (19,933 accounts, accounts of similar size (decile 7 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 40% 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 0.083%, geoff sits above the 25th percentile of the 201,130 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.141%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.141% |
| 75th percentile | 0.671% |
| 90th percentile | 2.53% |
| 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 07:00 UTC, and Sunday 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 | 51% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 21% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 51% 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.
- 21% 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 283 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above 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
- Sep 27, 2026106x their median
Code freeze isn’t really a thing anymore before releases and in the future the code might even be generated online per request according to some constraints.
- Sep 28, 202674x their median
The occasional clouds allowed the shockwaves of Booster 21 to be visible at times throughout reentry. Incredible to think of the scale and just how fast the booster is moving! @NASASpaceflight https://t.co/c0zbUg3GEm
- Sep 25, 202641x their median
Opus 5.5 got my ts-rust port working in 10 hours, and it has been grinding on performance for the last 24 hours. I've been working on this port on and off for about 4 months. I got to ~35% tests passing with GPT-5.6 Sol, and ~85% with GPT-6 Astra. Both models stalled hard once hitting those numbers, and ran in loops with no meaningful progress for days at a time. I've never had "enough Anthropic tokens" to try a Claude model on a port like this. Opus 5.5 feels practically unlimited, so I threw it a "/goal finish the port and make it faster". I can not believe how quickly Opus unblocked the work Astra was stuck on. It may have made this port an actually viable project. Absolutely mind blown right now.
- Aug 26, 202612x their median
Everyone always asks about skills and what my favorite skill is. It's this one. https://t.co/r7TQAjr0ec
- Jan 1, 202617x their median
Jido 2.0 powering a swarm of 1,575 agents to index a codebase in 7 seconds 2026 is going to be amazing https://t.co/oyX45V8fuP
- Jun 26, 202614x their median
Some personal hot takes from AI: engineer Miami follows... 1. Software development is a dead-end profession because anyone can be a software developer now. 2. Anyone can use Cursor or any other tool and generate code. Being a coder and being a software engineer are different. 3. Computers used to be gated; now everyone has the power to make computers malleable. Everyone is a software developer now, but that does not mean they are software engineers 4. If you cannot demonstrate how a coding agent works, you are just a consumer and have imposed an artificial glass ceiling on your career as a software engineer. 5. If you are curious, you will have a job. If you have not been curious in the last two years, you are replaceable. 6. SaaS per-seat economics may become unstable as customers need fewer people to achieve results, prompting founders to think about new unit economics 7. Most companies will take two or three years (or more!) to figure out AI transformation. 8. Some companies are already building AI native teams of five to ten people who can build with the grain of AI 9. There will be an explosion in the number of software developers. Software development is now essentially free, and tokens are cheaper than humans 10. Not enough engineers know what it means to be a product engineer 11. JIRA ticket monkeys are cooked 12. If your company has banned AI, you should quit that company 13. AI is more like a musical instrument than just a tool play with it, make discoveries, build intuition learn where AI is good and where it fails
- Aug 27, 20266.9x their median
tbh. I wish more people didn't lean on the agentic loop 100%; instead, they should lean on @temporalio esq workflow engines as stages. There's an art in deciding whether to utilise the LLM loop vs. a deterministic workflow. You can do both; the magic is in combining and applying both ingredients in the right manner.
- Sep 27, 20266.2x their median
There is no silver bullet or perfect prompt but if you do hard core engineering (not related to LLMs themselves but instead how you apply them) the craft gets recursive very very fast. People keep asking me about what skills I use and how I prompt LLMs and the answer shocks folks. I don’t pre-install any skills or rely on attempting to eval max markdown into a context window. There’s no magic trick except application of the craft of software engineering itself! Stop chasing LLM prompt fairies and instead focus on the craft.
- Aug 26, 20265.4x their median
"If you can build a verification system and give proper direction, AI can produce a highly complex, highly sophisticated piece of software and it can continue to refine it until it just works." - @pauldix https://t.co/Y39wa3ca40
- Aug 31, 20265.4x their median
one thing i wish more folks understood you should be deleting your agents md and skills on the often. especially between model releases take the learnings and revalidate them every couple months. the models are getting better and less malloc() is needed to get outcomes/drive behaviours. it’s still WAY too early for standardisation
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 72 interactions against 91K followers, an engagement rate of 0.083%. Measured over 39 original posts, its engagement rate beats 48% of 19,933 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 7.3K times each, and 0.989% of those impressions turn into an interaction. That is about 8.04% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.6 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 07:00 UTC, and Sunday is the busiest day of the week. Of the 39 posts sampled, 51% carry an image or video, 10% are part of a thread and 21% link out. The account's strongest tracked post pulled 7.6K interactions, about 106x its own typical post.
- What is geoff's engagement rate on X?
- geoff (@GeoffreyHuntley) has an engagement rate of 0.083%, based on the median interactions across 39 original posts from the last 30 days against 90,599 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.083%, geoff sits above the 25th percentile of the 201,130 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 @GeoffreyHuntley have real engagement?
- Its engagement rate beats 48% of the tracked X accounts closest to it in follower count (19,933 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 @GeoffreyHuntley post?
- Most posts go out around 07:00 UTC, and Sunday is its busiest day, at roughly 2.6 posts per day across the measured window.