Webmaster's Corner · October 2026 Report
Nine Million Hits. So Where Is Everybody?
One small anime website, an unreasonable amount of traffic, and a webmaster trying to find the actual people.
I opened Octoberβs access log expecting the usual background noise. What I got was 8,992,158 HTTP requests. For a handmade anime archive that is either a compliment or a plumbing problem.
So I did what any curious webmaster with a gzip and an afternoon would do. I handed ChatGPT the raw Apache log and asked it to help me find the humans.
The rest of this report is that investigation. Millions of screencap requests. Crawlers introducing themselves by name. A couple of days in late October that looked like a firehose. Browser sessions that stayed open long enough to look like devotion. And underneath all of it, a guess I am willing to stand behind: about 1,500 people.
Not βvisitors.β People. The number is an estimate. Everything above it is something the log actually recorded.
If anyone ever tells you this site had nine million visitors in October, send them here.
The nine million requests
A request is a knock. One person opening a gallery can fire dozens of image requests. One crawler can fire hundreds of thousands. The jukebox pings. Browsers cache, or they do not. I rate-limited some of the louder guests; those 429s still count as knocks. I just refused to answer.
85.57% of the month was screencap JPEGs. I built an archive. In October I also, apparently, ran a free image CDN for the robot internet.
About 3,600,000 requests looked like bots from the user-agent string β roughly 40.0%. That is not a second slice of the donut. Bots asked for screencaps too. Most bots can also call themselves Chrome. Do not add these numbers.
Screencaps versus everything else
Mutually exclusive request types. COUNTED
Bot-labelled share of the same ocean (~40.0%). Overlaps the pictures. INFERRED
How did we count this?
Every logged HTTP request in the October export. Screencaps are image hits under the screencap upload path. The remainder is HTML, scripts, heartbeats, other images, errors, refusals. The bot meter is a second ruler on the same pool, not a leftover slice.
View data as table
| Category | Requests | Share |
|---|---|---|
| Screencap images | 7,694,778 | 85.57% |
| All other requests | 1,297,380 | 14.43% |
| Total | 8,992,158 | 100% |
| Bot-labelled (overlaps) | 3,600,000 | ~40.0% |
The bot parade
These are the names the user agents claimed. I did not verify passports. Someone on the internet typed a string into a client, and the log wrote it down.
What the user agents claimed to be
Nine named labels. Units: HTTP requests. Click a name. INFERRED
Click a crawler for the caption. A label is not an official usage policy.
For the curious webmaster
Literal user-agent matches. These nine rows do not add up to the ~3,600,000 bot-labelled total; other agents exist, and labels can be fake. Googlebot, if the string is honest, is the quiet one at 4,158.
View data as table
| Label | HTTP requests |
|---|---|
| GPTBot | 1,773,165 |
| ClaudeBot | 435,969 |
| Baiduspider | 427,678 |
| Bingbot | 102,385 |
| Ahrefs | 99,825 |
| OAI-SearchBot | 99,525 |
| Semrush | 64,023 |
| ChatGPT-User | 34,495 |
| Googlebot | 4,158 |
The week that got loud
Daily totals in this report cover October 25β31. That is the stretch we resolved day by day, not a claim that the rest of the month was empty. GPTBot is painted inside each dayβs total. Do not stack the two columns.
October 27β28 is the surge. The 28th is the one I will remember: about 851,500 requests, about 530,400 of them GPTBot-labelled. That is not a festival. That is a hose.
October 25β31, GPTBot as a subset
Rounded to the nearest ~100. Focus a day for the numbers. INFERRED
Oct 28: 851,500 requests, 530,400 GPTBot-labelled. The surge day.
How did we count this?
Rounded daily totals from the October export. GPTBot is a subset of that dayβs all-requests. Earlier October days are not in this daily series, and we did not invent them.
View data as table
| Date | All requests | GPTBot-labelled |
|---|---|---|
| 2026-10-25 | 316,400 | 26,700 |
| 2026-10-26 | 268,600 | 31,200 |
| 2026-10-27 | 431,500 | 251,000 |
| 2026-10-28 | 851,500 | 530,400 |
| 2026-10-29 | 311,700 | 30,400 |
| 2026-10-30 | 231,600 | 28,700 |
| 2026-10-31 (export ends mid-morning) | 69,300 | 9,000 |
The 429 club
789,980 responses were HTTP 429s β 8.79% of all requests. A 429 means I throttled a client. It does not mean a human was denied a membership.
GPTBot-labelled and ClaudeBot-labelled ate almost the entire pile. I am grouping by the same self-reported agents as the parade. Rates and identification are different jobs. The purple palette here is refusals, not volume.
Who hit the bouncer
Mutually exclusive within 429s. COUNTED
How did we count this?
Three labels are mutually exclusive only within this 429 breakdown; inferred based on self-reported agents. These three slices add to 789,980. They are not a partition of all traffic.
View data as table
| Label | 429 responses |
|---|---|
| GPTBot-labelled | 517,710 |
| ClaudeBot-labelled | 262,680 |
| All other labels | 9,590 |
Where are the humans?
This is the part I actually care about, and the part I cannot prove. I can count knocks. I can tighten the definition of a βsession.β I cannot count souls. One person can look like three browsers. Three people at a library can look like one IP. A parked phone can look like devotion.
So there is no funnel from nine million down to fifteen hundred. Those are different rulers. Then a guess.
Stricter definitions, not a conversion rate
The first published session number already requires a page load and JavaScript heartbeats. A browser-looking user-agent alone is a costume, so it has no headcount here.
1,402 distinct IP + browser combinations sat inside the sustained set. That is still not unique humans.
The whisker is an opinionated range (1,000β2,000), not a statistical confidence interval.
View data as table
| Definition | Count | Honesty |
|---|---|---|
| HTTP requests | 8,992,158 | Counted |
| All browser-looking clients | Not published | UA is not proof |
| Page + two heartbeats | 2,334 | Heuristic |
| Sustained β₯45s | 1,843 | Heuristic |
| Multiple distinct paths | 1,380 | Heuristic |
| 3+ heartbeats and paths | 997 | Heuristic |
| IP+browser in sustained set | 1,402 | Heuristic |
| People (guess) | ~1,500 (1,000β2,000) | Estimated |
What counts as a visit?
Same numbers as above. Pick a definition. INFERRED
A browser-looking user-agent is a costume. No headcount for costumes.
How did we count this?
Browser-looking client with plausible HTML page load and JavaScript heartbeat; group by IP and user agent with 30-minute inactivity cutoff; >=45 seconds heartbeat spacing for sustained sessions. Browser impersonation and shared devices remain possible. Timezone of original data -04:00. Editorial best guess, not directly measurable from logs. Do not place on same axis as requests or imply conversion funnel.
Sustained sessions, week by week
Same β₯45s definition. Candidate sessions rose. I will not credit SEO, the universe, or my charm. INFERRED
View data as table
| Period | Sessions | Coverage |
|---|---|---|
| Oct 1β7 | 217 | Full week |
| Oct 8β14 | 398 | Full week |
| Oct 15β21 | 466 | Full week |
| Oct 22β28 | 559 | Full week |
| Oct 29β31* | 203 | Short week in the export |
Pocket glossary
- Request
- One HTTP knock. Cheap to produce. Easy to misunderstand.
- Session
- A heuristic grouping: IP + user-agent, split after 30 minutes quiet.
- Heartbeat
- Our JavaScript ping. A parked tab can keep waving.
- Referrer
- Optional, forgeable, often missing. A hint, not a citation.
- Bot-like UA
- The client introduced itself as a robot, or as something that looks like one.
- Parked tab
- The page is open. Nobody is necessarily looking.
- Visitor vs person
- A visitor is a pattern in a log. A person is someone you could theoretically wave at.
What the archive got asked for
Anime-section request piles
Hits under /anime/{slug}/, including subpages and bots. Not a fan poll. COUNTED
How did we count this?
HTTP requests under /anime/{slug}/ including subpages; all clients, not human-only Crawlers love a well-linked archive. Naruto winning this chart would not surprise anyone who has met the internet.
View data as table
| Title | Requests |
|---|---|
| Naruto Shippuden | 7,124 |
| Naruto | 5,769 |
| Dragon Ball Z | 5,632 |
| Death Note | 4,898 |
| Dragon Ball | 4,402 |
| Yu Yu Hakusho | 3,085 |
| Fullmetal Alchemist (2003) | 2,764 |
| Fullmetal Alchemist: Brotherhood | 2,691 |
The referrals we actually counted
Requests, not people, not βAI sent us fans.β Search-engine referrer totals were not in this export, so they are not invented here. INFERRED
Sixty-one browser-looking HTML requests arrived with a chatgpt.com referrer. That is not sixty-one people ChatGPT sent over. Referrers hitchhike onto images and scripts. db-z.com referred 763 requests; only 24 of those looked like a person asking for a page.
How did we count this?
Referrer fields can be missing or spoofed. These are request counts, not referral sessions, recommendations, conversions, or independently verified people.
View data as table
| Slice | Requests |
|---|---|
| chatgpt.com, browser-looking HTML | 61 |
| db-z.com, all referred requests | 763 |
| db-z.com, browser-looking HTML | 24 |
The never-ending visitors
The log recorded 208,211 guest heartbeat requests. Presence, not attention. One grouping β one IP plus one user-agent, which I will not publish β sat on the Serial Experiments Lain Episode 1 gallery from October 2β9 and produced 11,158 of those pings. That is 5.4% of every heartbeat in the export.
It is not proof that one human read Lain for eight days. It might be a parked tab. It might be a shared endpoint. It might be a script with taste. I have seen β2,000 pingsβ on the live guest list and made the same mistake: the page was open. Nobody had to be looking.
The visitor who might never have left
11,158 heartbeat requests · Oct 2β9, 2026. INFERRED
- Oct 2. A grouping starts pinging the Episode 1 Lain gallery like it lives there.
- Oct 2β9. Heartbeats keep arriving. 11,158 of them, same grouping, same page.
- What it is not. Eight days of focused reading. Presence is not attention.
How did we count this?
IP + UA grouping, heartbeat requests only, tied to one gallery path. No identifiers published. Serial Experiments Lain β Episode 1 screencap gallery.
View data as table
| What | Value |
|---|---|
| Heartbeat requests | 11,158 |
| Share of all heartbeats | 5.4% |
| Period | Oct 2β9, 2026 |
| Associated page | Serial Experiments Lain β Episode 1 screencap gallery |
A lighter month
April through September I was building the archive in public β lore, galleries, follows, the boring pipes. October was the first month that felt like I was living in the house instead of framing it. I wrote The October Update on the 21st, then kept going: member hub, profiles, PMs that actually thread, character tags, screencap search, more fansub notes, reviews, a Halloween Berserk piece I will not spoil. Some of that landed after the post.
Lighter than standing the whole archive up. Not empty. I do not clock hours. If I had to guess, 50β90. ESTIMATED
I still plan the behavior, talk the approach through with ChatGPT, work in Cursor, and test it myself. If I cannot read the code later, it is not done.
So where is everybody?
I do not know exactly. The robots were loud. Under that, maybe a thousand people, maybe two. Some made accounts. Some just read.
The archives are open. The forums still work. You can say hello without signing up.
How I counted
One October 2026 access-log export. Not live. The raw gzip is not on this server.
The file runs Sep 30, 2026 08:15 to Oct 31, 2026 08:16 (UTC-04:00). I only have day-by-day totals for October 25β31.
- Requests. Every logged HTTP hit: pages, images, scripts, heartbeats, 429s.
- Screencaps. 85.57% of that. Everything else is the other 14.43%.
- Bot-labelled. ~3,600,000 from the user-agent string. Overlaps the images. Named crawlers are whatever those strings claimed.
- 429s. 789,980. 517,710 GPTBot-labelled, 262,680 ClaudeBot-labelled, 9,590 other.
- Sessions. Looked like a browser, loaded HTML, sent our JS ping. Grouped by IP + UA. New session after 30 minutes quiet. βSustainedβ means first and last ping at least 45 seconds apart.
- People. My guess: about 1,500, call it 1,000β2,000. I cannot measure that from a log.
- Bytes. About 716.7 GiB of logged response bytes. Not the hosting bill. INFERRED
- Heartbeats. 208,211 guest pings. The tab was open. That is all it proves.
One person can look like three browsers. Three people can share an IP. JS can be off. Bots can run JS. Referrers lie. I have no way to count unique humans.
Sanitized aggregates JSON β no IPs, no raw user-agents, no full URLs.
