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#215 — Top 82.1%

natedemoss

Nathan DeMoss

C

Getting there

Overall

0.0

/ 100

01 · Roasts

The 9-Minute Architect

claude-code-skills was 'created' in 9 minutes, claude-onboard in 3 minutes, token-surgen in 5. Bro is shipping repos faster than GitHub can render the README.

CI/CD Who?

8 repos scored, 0 have CI. You added a CONTRIBUTING.md checklist to claude-code-skills that asks for quality bars you don't enforce anywhere in your own code.

papermarket Is Offline

Your most technically impressive project — multi-service React+Node+Postgres with Polymarket sync — is 'currently offline'. The vibes are there, the uptime is not.

Burst Season, Then Nothing

Your heatmap is 30+ weeks of near-zero commits followed by weeks 34–45 of wall-to-wall 4s. You're not a developer, you're a seasonal migration pattern.

Solo 100%, Community 0%

soloPct is literally 100%. In 14 PRs and 4 issues this year, there is zero evidence you've touched anyone else's code. GitHub is multiplayer, Nathan.

Built using

Zoral

Shadows one worker for a week, then takes over their job with zero extra setup. Behaves exactly like the original.

zoral.ai

02 · Category breakdown

  • Impact
    25% weight
    56D
  • Consistency
    20% weight
    60C
  • Quality
    20% weight
    57D
  • Depth
    15% weight
    55D
  • Breadth
    10% weight
    65C
  • Community
    10% weight
    50D

03 · Stats

365-day commit heatmap

116 active days

Less
More

Language distribution

7 langs
  • Python59%
  • TypeScript33%
  • JavaScript3%
  • CSS2%
  • HTML2%
  • Lua0%
  • Other1%

04 · Numbers

Owned repos

non-fork

31

Commits

last 12 months

274

Followers

10

Joined GitHub

Feb 2025

05 · Top repos

natedemoss /

papermarket

50/100

Full-stack paper trading prediction market platform (React + Node.js + Postgres) with Polymarket data sync. Early-stage active project with typed code, tests, documentation, and multi-service architecture, but currently offline and limited adoption (16 stars).

I40Q60D50
READMETestsTyped
TypeScript161mo ago

natedemoss /

Teammind

45/100

TypeScript Claude Code integration tool with git-aware team memory capture, local semantic search via HuggingFace embeddings, and MCP server. 225KB codebase, 25/30 recent commits, ships with typed code, README, tests absent, CI absent.

I40Q60D35
READMETyped
TypeScript82mo ago

natedemoss /

Claude-Code-Wrapped-Skill

42/100

Claude Code skill that generates an interactive terminal slideshow of your AI coding statistics inspired by Spotify Wrapped. Typed Python 3.8+, well-documented README with clear installation and usage instructions, structured single-file implementation with caching, multi-slide visualization system. No tests or CI. ~87

I25Q55D45
README
Python81mo ago

natedemoss /

claude-code-skills

38/100

Early-stage Claude Code skills collection with 3 working interactive skills (wrapped, token-surgeon, onboarding). Well-documented with clear structure and MIT license, but brand new (9-minute creation window) with minimal adoption and no tests/CI.

I25Q60D20
README
Python12mo ago

natedemoss /

Chorus

35/100

Early-stage Electron + TypeScript desktop tool for parallelizing Claude Code agents via git worktrees. Typed, documented, structured with React/Vite frontend, but brand new (1 star, 6 commits in 15 minutes) with no tests or CI.

I25Q60D20
READMETyped
TypeScript11mo ago

natedemoss /

natedemoss

32/100

GitHub profile config repo with personal bio and project portfolio. Zero stars, minimal technical depth, but README showcases 5+ named projects suggesting active shipping pattern.

I25Q35D40
README
Unknown22mo ago

natedemoss /

claude-onboard

18/100

Claude Code skill for AI-assisted onboarding guide generation; brand-new (2h old), 4KB, no source files, 2 commits. Abandoned prototype or placeholder setup.

I15Q35D5
README
Unknown02mo ago

natedemoss /

token-surgen-claude-skill

18/100

Claude Code Skill for analyzing token waste in prompts with 10 named patterns. Single-day creation (2026-03-23), 4 commits, 10 KB scope, MIT licensed. README documents the concept but no source files available for review.

I15Q35D5
README
Unknown12mo ago

06 · Timeline

  1. Feb 6, 2025
    Joined GitHub
  2. Feb 6, 2025
    Created natedemoss — Config files for my GitHub profile.
  3. Mar 21, 2026
    Created papermarket — Paper-Trading prediction market
  4. Mar 23, 2026
    Created Claude-Code-Wrapped-Skill — A Claude Code skill that returns a slideshow in the CLI of your Claude Code "Wrapped" inspired by Spotify Wrapped.
  5. Mar 23, 2026
    Created token-surgen-claude-skill — A Claude Code Skill that analyzes prompts and gives feedback on how to save tokens.
  6. Mar 23, 2026
    Created claude-onboard
  7. Mar 23, 2026
    Created claude-code-skills — A collection of Claude Code skills
  8. Mar 25, 2026
    Created Teammind — Git-aware team memory for Claude Code
  9. Apr 22, 2026
    Created Chorus — Run many Claude Code agents in parallel in isolated git worktrees. Pick the winner.
  10. Apr 29, 2026
    Most recent push to Claude-Code-Wrapped-Skill

07 · Compare

github.com/
natedemoss · 6dmedian coder

08 · Rubric

How this score was produced

Overall = Σ (category × weight) + gentle top-end curve

CategoryWeightScoreContrib.
Raw total57.1
Top-end curve+4.3
Final overall61.4

Tier thresholds

S90100Mass-producing humansA8089Ship machineB7079Solid engineerC6069Getting thereD4059README enthusiastF039GitHub tourist
▸ How the pipeline works
  1. 01Scrape.Pull every non-fork repo pushed in the last 90 days, plus your contribution calendar, followers, and language byte counts — straight from GitHub's REST & GraphQL APIs.
  2. 02Triage.A small model reads every repo's file tree + README and picks the 20 files per repo that actually reveal how you code.
  3. 03Grade each repo. All repos run in parallel through a fast scoring model that reads the picked files and rates each one independently on Impact, Quality, and Depth — with evidence citations.
  4. 04Aggregate. A larger reasoning model combines the per-repo scores with server-computed stats (heatmap, commit cadence, language entropy, follower count) to produce the 6-dimension profile score + roasts.
  5. 05Correct.Deterministic server-side checks enforce anchor-scale floors (e.g. a profile with 2,000+ public commits can't score 30 Consistency) and recompute the final verdict.

~90 seconds per profile, ~$0.25 in compute. Total of ~240 files read across your top-12 repos. One rating per GitHub account per day.

▸ Data sources & caveats
  • Heatmap & commit totals: GitHub GraphQL contributionsCollection — covers the last 365 days, includes private repos when the user has opted in (default).
  • Language %: byte totals across the top 30 owned non-fork repos.
  • Curve: a small upward nudge centered on raw score ≈ 70, capping at 100. Prevents specialists from being unfairly penalised for narrow breadth.
  • Anchor corrections: when server-measured signals (e.g. privateWorkLikely, multiRepoVolume, follower count) mandate a minimum category score, the aggregation step enforces it. These are signal-conditional, not identity-based floors.
natedemoss · 61.4/100 — Rate My GitHub