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#9 · Top 99.2%

juliusbrussee

Julius Brussee

A

Ship machine

silver medal

Overall

0.0

/ 100

Roasts

Repository binding unavailable

Genre expansion

After JavaScript, TypeScript, and Python, Swift enters the cave: apparently the next phase is not a rewrite, but a full multilingual expedition.

Historical result · no repository binding was retained

Repository binding unavailable

The study artifact

A repository of class notes sits beside ambitious tools and AI projects, giving the portfolio the charming energy of someone documenting the lecture while quietly building the laboratory.

Historical result · no repository binding was retained

Category breakdown

juliusbrussee category score radarImpactConsistencyQualityDepthBreadthCommunity

Impact

25% weight

91S

The portfolio includes a highly prominent JavaScript project, several related developer-tooling or AI-oriented projects, and multiple projects with substantial apparent external interest; metadata supports unusually strong visible impact.

Consistency

15% weight

87A

The supplied repositories show recent activity across nearly the entire set, with dates concentrated in 2026 and additional activity in 2025.

Quality

25% weight

72B

The non-fork, non-archived status and sustained activity are positive maturity signals, but source, tests, CI, documentation, and implementation quality are unavailable.

Depth

20% weight

88A

The portfolio shows sustained ownership across a coherent family of projects, with many non-fork repositories and activity extending across multiple years.

Breadth

10% weight

84A

Languages include JavaScript, TypeScript, Python, Swift, and an unknown-language project, spanning tooling, notes, AI-related work, libraries, and applications.

Community

5% weight

76B

Follower and star counts provide a strong but limited community signal. This is used only as a weak tie-breaker and does not determine the other scores.

Stats

52-week commit heatmap

237 active days

Language distribution

  • Python33%
  • JavaScript25%
  • Swift17%
  • TypeScript17%
  • Unknown8%

Based on the bounded repository sample saved with this analysis.

Numbers

Owned repos

Non-fork sample

11

Commits

Last 12 months

1358

Followers

Accepted fact

2426

Joined GitHub

Profile date

Apr 2022

Top repos

Scores marked Profile rating use bounded public repository metadata. Full repo analysis appears only when a separate accepted repository analysis exists.

Timeline

  1. Joined GitHub
  2. Created juliusbrussee/the-prompt-library - A curated collection of production‑ready AI prompts with MCP integration, organised for humans and machines alike.
  3. Created juliusbrussee/dsai-2025-2026-class-notes
  4. Created juliusbrussee/cavekit - A Claude Code plugin that turns natural language into blueprints, blueprints into parallel build plans, and build plans into working software with automated iteration, validation, and cross-model peer review.
  5. Created juliusbrussee/revu-swift - Local-first macOS study app with FSRS review, decks, study guides, exams, import/export, and a polished SwiftUI desktop interface.
  6. Created juliusbrussee/caveman - 🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
  7. Created juliusbrussee/caveman-code
  8. Created juliusbrussee/cavemem - Cross-agent persistent memory for coding assistants. Stored compressed. Retrieved fast. Local by default.
  9. Created juliusbrussee/auto-karpathy
  10. Created juliusbrussee/cavegemma - LoRA fine-tune Gemma 4 31B to speak caveman-mode natively. Style: github.com/JuliusBrussee/caveman
  11. Created juliusbrussee/loop-factory
  12. Created juliusbrussee/skills
  13. Created juliusbrussee/pebble - Pebble PC Port
  14. Most recent push to juliusbrussee/caveman

Compare

JULIUSBRUSSEE · 6DMEDIAN CODER

JULIUSBRUSSEE compared with MEDIAN CODER across six rating categoriesImpactConsistencyQualityDepthBreadthCommunity

Rubric

How this score was produced

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

CategoryWeightScoreContribution
Impact25%9122.75
Quality25%7218.00
Depth20%8817.60
Consistency15%8713.05
Breadth10%848.40
Community5%763.80
Impact · 91/100

What it measures. Project usefulness, ambition, originality, and coherence. Popularity is not impact.

Evidence for juliusbrussee. The portfolio includes a highly prominent JavaScript project, several related developer-tooling or AI-oriented projects, and multiple projects with substantial apparent external interest; metadata supports unusually strong visible impact.

Quality · 72/100

What it measures. Engineering and project-maturity signals supported by the available public metadata.

Evidence for juliusbrussee. The non-fork, non-archived status and sustained activity are positive maturity signals, but source, tests, CI, documentation, and implementation quality are unavailable.

Depth · 88/100

What it measures. Sustained ownership, meaningful scope, and continued maintenance rather than one-shots.

Evidence for juliusbrussee. The portfolio shows sustained ownership across a coherent family of projects, with many non-fork repositories and activity extending across multiple years.

Consistency · 87/100

What it measures. Recency and contribution patterns across the supplied activity window.

Evidence for juliusbrussee. The supplied repositories show recent activity across nearly the entire set, with dates concentrated in 2026 and additional activity in 2025.

Breadth · 84/100

What it measures. Language entropy and project-type diversity across owned repos.

Evidence for juliusbrussee. Languages include JavaScript, TypeScript, Python, Swift, and an unknown-language project, spanning tooling, notes, AI-related work, libraries, and applications.

Community · 76/100

What it measures. A weak positive tie-breaker for supplied community signals, never a popularity penalty.

Evidence for juliusbrussee. Follower and star counts provide a strong but limited community signal. This is used only as a weak tie-breaker and does not determine the other scores.

Raw total
83.60
Top-end curve
+0.00
Final overall
83.6

Tier thresholds

S 90-100 Mass-producing humansA 80-89 Ship machineB 70-79 Solid engineerC 60-69 Getting thereD 40-59 README enthusiastF 0-39 GitHub tourist

I. How this saved profile rating was produced

  1. 01

    Validate. The server validates the login, signed browser session, attempts, cooldown, daily ceiling, and the single provider permit.

  2. 02

    Collect. The VPS collector reads bounded public profile metadata and up to 12 recent repository metadata rows in volatile memory.

  3. 03

    Rate. One pinned provider returned a closed profile-rating object with no tools, browsing, shell, or repository-content access.

  4. 04

    Verify. Server checks bound the subject, rejected unsafe or echoed text, validated the schema, and recomputed rubric-v3 final arithmetic.

  5. 05

    Save. Only a valid completion and allowlisted post-completion facts commit atomically; the public projection is then rebuilt.

This saved profile analysis is metadata-only and did not read repository trees, README files, or source code. Availability of new analysis is separate from this historical result.

Rated 2026-08-10 · rating-rubric/3

II. Data sources & caveats
  • Scores summarize one accepted, subject-bound analysis; they are not a security audit or endorsement.
  • Rank, percentile, and median use 1095 currently accepted public profiles and can change as the leaderboard changes.
  • Repository and language details reflect the bounded analyzed sample, not necessarily every repository.
  • Missing data is shown as unavailable or not evaluated instead of being inferred as zero.
  • Analysis completed Aug 10, 2026, 12:10 AM UTC and is marked aging.