Brian Corrigan l 🎮 Biz engagement report
@svperfecta - 358K followers on X
Measured over 12 original posts from a 30-day window, last computed on September 2, 2026.
Engagement
A typical post picks up 250 interactions against 358K followers, an engagement rate of 0.07%. Measured over 12 original posts, its engagement rate beats 58% of 6,874 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 21K times each, and 1.18% of those impressions turn into an interaction. That is about 5.91% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 01:00 UTC, and Sunday is the busiest day of the week. Of the 12 posts sampled, 58% carry an image or video and 17% link out. The account's strongest tracked post pulled 36K interactions, about 144x its own typical post.
Measured over 12 original posts from a 30-day window, last computed on September 2, 2026.
Compared with accounts its own size
Brian Corrigan l 🎮 Biz's engagement rate beats 58% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 8 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 52% 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 0.07%, Brian Corrigan l 🎮 Biz sits above the 25th percentile of the 65,980 accounts in this comparison. That places it in the below the median band, which runs 0.016% to 0.1%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.016% |
| 50th percentile | 0.1% |
| 75th percentile | 0.499% |
| 90th percentile | 2.09% |
| 99th percentile | 120.0% |
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 01:00 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 | 58% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 17% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 58% 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.
- 17% 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 443 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
- Aug 13, 2026144x their median
I have no idea why but Grok-4.6 just totally freaked out doing some maintenance tasks when it saw my low github id. https://t.co/TGcVPR0Anl
- Aug 15, 202620x their median
I ditched Unreal for AI. Kaiju Engine is a completely AI written replacement. To prove it was ready for production, I tested it by recreating and porting my old game, Firefall, into Kaiju, purely from the Steam download, no source. And it worked. Real game code is messy, full of difficult details and compromises. If our engine could handle a commercially released game, it proves you can ship a game with it. We're developing 2 orders of magnitude faster (93x) by lines of code and features. We have fewer bugs, and iteration is super fast. Build times have gone from 30 mins (Unreal) to 36 seconds. Feature rate is through the roof, days instead of months. Our original engine for Firefall took 2-3 years and cost over 5M to build (adjusted). Our new engine was written in 5 months for a couple grand. We built only what we needed, with none of the Unreal bloat. And we added some features: - Modern meshlet based rendering with PBR. - Vis Buffer/Forward+ with clustered lighting. - Id Tech 5 style megatexture streaming. - Planetary sized renderer (entire solar systems possible). - Seamless flight from ground to orbit and space. - No loading screens. - Procedural planet generation with plate simulation. - Client/Server at all times. - Ozz for animation. Jolt for Physics. - Companion Blender plug-in for AI directed asset exports. - 140fps currently, 200-300 projected after optimizations. You can see Firefall's assets and levels ported over into our engine in the video. Texture resolution and pop-in are limitations of the original game (high rez CDN based textures were lost when game went offline, fog hid the original's pop-in). Our meshlet renderer will be able to do much better with LOD and already supports high rez textures. I used Grok/Codex/Claude to tag team the code. This is not just a boon for indie games, it's a real game changer for game preservation. The reaction to seeing this 10 year old discontinued game revived is very emotional for Firefall fans. But we're not just preserving Firefall, we're going beyond, creating an original game that is the spiritual successor, Em-8ER. Gliding, jumpjets... it's all coming back. Moving past Unreal let us move much faster, without the bloat, and with better performance. If you want to signup to follow news on the game, sign up is free at https://t.co/uVcBU0heLW
- Aug 17, 202614x their median
Which models can your machine actually run? Magnitude now answers that. The new model catalog: - Profiles your hardware automatically - Estimates tok/s for every model before you download - Recommends the best models for your machine Pick one and Magnitude handles the rest: - Downloads the model and quant from Hugging Face - Loads it into the built-in inference engine - Configures speculative decoding (MTP, DFlash, etc.) - Sets concurrency based on your memory Try it on your hardware: npm i -g @magnitudedev/cli
- Aug 10, 202611x their median
Bernie Sanders has written a letter to Sam Altman, Dario Amodei, and Mark Zuckerberg urging them to immediately pause all AI development in the interest of humanity. And he warns if they do not take appropriate action now, the US Senate will. https://t.co/xwLB0FGmF9
- Aug 25, 20264.9x their median
BREAKING: Apple App Store sales have declined for the first time in a decade.
- Aug 16, 20261.6x their median
HR told me I couldn’t post a job for “Senior Technical Artist” because it might offend the elderly. My art lead and I thought it was a joke. It wasn’t. This is why we need an HR reset. Full video here: https://t.co/FyL2ymBd7J https://t.co/z8mb5KuQjv
- Aug 30, 2026
PUBG: DEDNET’s map size revealed during gamescom. https://t.co/U9HYdjFnPn
- Aug 11, 2026
Every enterprise deal dies the same way. Everyone loves the product. Then their security team joins the call and asks one question: "Do you support SSO?" If you don't, the deal doesn't die today. It dies in three months, quietly, in a Slack channel you're not in. We got tired of watching that happen to teams building on Zernio. So today we shipped the entire auth stack: → Your buyer signs in the way they already sign into everything else → One click kills every session on every device — for the contractor who just left, or the laptop that didn't come back → Someone leaves the company, they lose access to Zernio automatically. No ticket, no forgetting → A record of who touched what, and when → Extra login protection on by default, for everyone, not locked behind a paywall Your product was never the problem. Your auth was. Not anymore.
- Aug 30, 2026
Traveling in Japan is so great.
- Aug 26, 2026
One weird side effect of an agent world.. in the before times, when someone showed you something cool you were immediately curious about how they did it. Now you’re never sure if the entire thing is a sloppy hallucination.
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 250 interactions against 358K followers, an engagement rate of 0.07%. Measured over 12 original posts, its engagement rate beats 58% of 6,874 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 21K times each, and 1.18% of those impressions turn into an interaction. That is about 5.91% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 01:00 UTC, and Sunday is the busiest day of the week. Of the 12 posts sampled, 58% carry an image or video and 17% link out. The account's strongest tracked post pulled 36K interactions, about 144x its own typical post.
- What is Brian Corrigan l 🎮 Biz's engagement rate on X?
- Brian Corrigan l 🎮 Biz (@svperfecta) has an engagement rate of 0.07%, based on the median interactions across 12 original posts from the last 30 days against 357,854 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.07%, Brian Corrigan l 🎮 Biz sits above the 25th percentile of the 65,980 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 @svperfecta have real engagement?
- Its engagement rate beats 58% of the tracked X accounts closest to it in follower count (6,874 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 @svperfecta post?
- Most posts go out around 01:00 UTC, and Sunday is its busiest day, at roughly 1.77 posts per day across the measured window.