DISCOVER
Eraj Alisherov
Ninety-Two Days
A Full Audit of Where My Attention Actually Went
End of September 2026
— I didn't set out to study myself. I set out to clean up a browser export for an unrelated reason, and somewhere around the tenth thousand row I realized I was sitting on ninety-two days of near-total honesty about how I actually spend my time — not how I'd describe it in a bio, not how it feels in the moment, but literally, click by click, where the hours went. The picture that came back wasn't one story. It was at least five, running at the same time, inside the same browser tab, most nights until well past midnight.
SERVICES
Personal Critical Research & Analysis
The Shape of the Data
Start with scale: 68,092 page visits across 546 unique domains, but only 92 days of that 511-day window show any real activity at all. On the days I'm online, I'm very online — an average of 740 visits a day, or roughly one page load every minute of a twelve-hour stretch. There is no "light" day in this data. There's fully on, or fully quiet.
Break that volume down by destination, and the picture stops looking like one job and starts looking like several: 29.2% of everything goes to YouTube, 24.1% goes to LinkedIn and prospecting tools, 12.9% goes to my personal site, which was checked over 7,000 times, and 12.5% goes to Google Workspace, including Docs, Mail, Calendar, and Drive. The remaining quarter is split across search and translation tools, X, AI chat tools, banking research, crypto exchanges, and content-creation software.
No single category dominates. That's the first honest finding: this isn't a browser used for one thing well. It's a browser used for five things at once, reasonably well.
The Research Engine
From the Archive of Eraj Alisherov: An Analysis of His Browsing Behavior
The most defensible part of the data is also the least visible in daily life: 181 distinct banking and payment-infrastructure domains and 31 different crypto exchanges and stablecoin platforms, visited across commercial banks, core-banking vendors, and payment rails spanning multiple continents. That's not idle curiosity — that's the kind of wide-aperture market-mapping you only do when you're actually trying to understand a competitive landscape from the inside. Alongside it sits ongoing study for a professional finance credential, tracked through an exam portal and a professional-association dashboard, sitting quietly in the background of months that were clearly busy with other things too.
This is the part of the data I'm least conflicted about. It's genuinely wide, genuinely deep, and it's the kind of research that doesn't happen by accident.
The YouTube Problem
Then there's the part I am conflicted about. YouTube is the single biggest destination in the entire export — bigger than LinkedIn, bigger than my own site — and 69.7% of that is Shorts: something in the neighborhood of eleven thousand individual clips over three months.
Two threads show up often enough to be patterns rather than noise: a legal-reaction channel about consumer money disputes, watched well over 150 times, and a steady stream of "how much does this actually cost" content, with dozens of distinct titles built around a dollar figure.
Here's the uncomfortable part: even my downtime is thematically about money. That could mean I genuinely love this field enough that it shows up everywhere, including my breaks. It could also mean the algorithm has boxed me into one lane so completely that "switching off" was never actually switching off — just the same subject matter delivered in fifteen-second doses instead of full sentences.
The Clock Doesn't Lie
Work hours, 10am to 5pm, are the clear backbone of the day, which tracks with a research-heavy job. But the single busiest hour of the entire three-month period isn't a working hour at all — it's midnight to 1am, and altogether 17.9% of all activity falls somewhere in the 10pm-to-2am window. Weekends are quieter, but only by about 14%. There's no real recovery window built into this schedule. There's work, there's more of the same subject matter dressed up as rest, and then there's sleep, whenever it finally shows up.
Running underneath all of that is something that's entirely mine: a personal site, checked over 7,000 times across 39 separate days — an average that only makes sense if I'm actively writing and re-writing, not just glancing at traffic numbers. I lean on a wide, almost tool-agnostic stack to make it happen: multiple AI assistants, several content and audio-editing tools, more than one option for the same task tried before I settle. That's a strength — nothing gets missed — and a mild tax, since some of that time goes into comparing tools instead of using one of them well. There's a bilingual layer to almost all of it too. A translation tool alone was opened more than 2,700 times, weighted toward the later months — a quiet, constant act of moving material between two languages that doesn't show up anywhere except in the sheer number of times that one tab got opened.
The Land of Ajam
''Browser history doesn't record receipts, only pages, so everything here is an estimate built from invoice pages and pricing, not extracted transactions. With that caveat: the clearest recurring cost is a website-builder subscription, billed roughly monthly, alongside a paid contact-finding tool used hundreds of times — together landing somewhere in the $60–115 a month range if both are active. A one-time professional exam adds a few hundred dollars on top of that. Everything past that — a completed app-store payment, a fitness-app plan page visited once, a camera browsed but never checked out — is directional at best. The one number worth actually tracking is the recurring one, because right now nothing suggests it's being reviewed anywhere as a total. Buried in the noise is a pattern worth taking seriously rather than shrugging off: visits to cracked-game download sites led, almost every time, into a chain of ad-redirect domains — the classic monetization model where the "download" button is actually wired to an ad network. That happened 78 times across the period, on the same browser profile used for banking research and professional email. It's a small number in a dataset of 68,092, and it's also the single easiest thing on this list to fix — an ad blocker closes most of that chain in minutes.'' — Eraj Alisherov, The Patriot
What This Actually Adds Up To
''None of these five stories — the research, the YouTube habit, the midnight hours, the writing project, the money question — is dishonest on its own.''
— Eraj Alisherov, The Patriot
Put together, they describe a browser, and a person, that never really has a quiet setting. The research is real. The writing is real.
The networking is real. But so is the fact that the busiest hour of the day comes after most people have gone to bed, and so is the fact that the thing standing in for rest is still, thematically, about the same subject as the work.
SHARE OF ACTIVITY BETWEEN 10PM AND 2AM
YOUTUBE SHORTS SHARE OF ALL YOUTUBE VISITS
Stat | Value | Share | Time Frame | Type | Notable Detail |
Total page visits | 68,092 | 100% | Jun 23 – Sep 20, 2026 | Overview | ~1 page load every minute across a 12-hr day |
Unique domains visited | 546 | — | 92 active days | Overview | Broad, varied browsing footprint |
YouTube & Video | 19,893 | 29.2% | Active window | Top Category | Most-visited category overall |
LinkedIn & Prospecting | 16,411 | 24.1% | Active window | Top Category | 2,143 visits to "Grow my network" page alone |
Personal Site (Framer Blog) | 8,807 | 12.9% | Active window | Top Category | Site touched on 39 separate days |
Google Workspace | 8,498 | 12.5% | Active window | Top Category | Docs, Gmail, Drive & Calendar combined |
Search & Translate | 4,433 | 6.5% | Active window | Top Category | Yandex Translate used 2,739 times |
X / Twitter & Social | 3,456 | 5.1% | Active window | Top Category | — |
AI Chat Tools | 1,991 | 2.9% | Active window | Top Category | Tried 5 different AI assistants |
Busiest hour of day | 2,668 visits | — | 12:00–1:00 AM | Daily Pattern | Outpaces every working hour |
YouTube Shorts share | ~11,000 clips | 69.7% | Of YouTube visits | Content Habit | Short-form dominates watch time |
Avg. visits per active day | ~740 | — | 92 active days | Pace | Roughly one page load per minute |
