Evidence model

Methodology

This archive is a receipt system, not a claim of omniscience. Confirmed appearances are stored observations; missing appearances are bounded by coverage.

30m

Capture cadence

3

Core targets

809

Language catalog

stored

Evidence

Fetch

Capture jobs request global GitHub Trending Developers windows, priority language windows, and a rotating set of every language-window combination GitHub exposes, preserving source URL, timestamp, window, and language.

Parse

The parser extracts developer profile, display name, avatar, rank, sponsor URL, and popular repository context from the captured HTML.

Store

Each capture becomes an immutable snapshot. Developer entries are linked to the snapshot so every receipt can point back to the exact observation.

Rank

Reports and leaderboards are computed from stored receipts only. No inferred or backfilled appearances are counted as confirmed evidence.

Discover

Wayback discovery can surface historical candidates, but those records stay exploratory until imported with explicit provenance.

What confirmed means

Receipts first

A confirmed receipt means the developer appeared in a stored snapshot.

A Wayback candidate means an archived page parsed successfully, not that the record has been accepted into the Hall of Fame.

A missing receipt means the developer was not observed inside captured windows.

Coverage gaps remain visible and weaken absence claims for those dates.

The archive does not claim complete history before the first stored snapshot.

Capture targets

What we observe

Global windows are watched continuously. Priority language weekly/monthly windows are checked hourly. Every language-specific daily, weekly, and monthly page rotates through the GitHub Linguist language catalog, 12 language-window targets at a time.

View coverage

Global windows

dailyweeklymonthly

5 priority languages, weekly/monthly

javascript weeklyjavascript monthlytypescript weeklytypescript monthlypython weeklypython monthlygo weeklygo monthlyrust weeklyrust monthly

2427 language-window filters, sampled

typescriptpythonrustgojavac++c#rubyphpswiftkotlinelixir

Score formula

Fame score is secondary evidence

The score helps sort repeated appearances, but raw receipts remain the source of truth. The formula is intentionally simple and auditable.

Rank weightmax(1, 30 - rank)
Active days+10 per unique UTC day
Language breadth+5 per extra language
Weekly/monthly breadth+12 per weekly/monthly window

Reproducibility

Open read APIs

The public UI is backed by read-only JSON endpoints so researchers and builders can inspect the same data surfaces.

/api/developers/[username]/api/hall-of-fame/api/snapshots/latest/api/coverage/api/backfill/wayback

Limitations

What this archive cannot prove

No retroactive history

If a developer trended before the archive started, this system cannot confirm it unless that evidence was captured elsewhere.

No GitHub endorsement

This project reads public Trending Developers pages. It is not an official GitHub ranking, notification system, or endorsement.

No absence outside coverage

A missing result is only meaningful for windows that were actually captured. Coverage is shown so that limitation stays visible.

Trust layer

Independent archive

Developer Fame Index is not affiliated with GitHub. The product preserves public observations and links every receipt back to a stored source URL and timestamp.

Archive status API

Trust layer

Parser risk is visible

If GitHub changes markup, captures can become partial or fail. Target health tracks empty streaks, failures, latest attempts, and stale targets so breakage is detectable.

Coverage dashboard

Trust layer

Historical imports are labeled

Wayback snapshots increase historical coverage, but provenance remains explicit. Backfilled receipts are not mixed with live captures without source context.

Backfill status API