01 · Roasts
Factory, not fandom
28 public repos and 147 recent sampled commits, yet the portfolio has 3 total stars and 0 forks.
Tests where it counts
DFRI, dbn-bookcheck, codegraph-mcp, and relaybase are serious about CI; siem-lab is still an Elastic Stack showroom with empty rooms.
Rust gravity well
Rust is 43% of the profile, and the 10-crate codegraph-mcp workspace makes that dominance look intentional.
Thesis has not compiled
scaleless calls itself pre-implementation: no executable code, tests, CI, license, or gitignore yet.
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
- Impact25% weight62C
- Consistency20% weight65C
- Quality20% weight82A
- Depth15% weight60C
- Breadth10% weight95S
- Community10% weight30F
03 · Stats
365-day commit heatmap
89 active days
Language distribution
- Rust43%
- TypeScript16%
- Python12%
- Go8%
- JavaScript7%
- Shell5%
- Other9%
04 · Numbers
Owned repos
non-fork
28
Commits
last 12 months
387
Followers
5
Joined GitHub
Oct 2023
05 · Top repos
Cameloo1 /
dbn-bookcheck
A rigorously engineered Rust/Node market-data toolkit with strict DBN decoding, order-book reconstruction, MBP-10 validation, sweep detection, benchmarks, and a tested static case study; adoption is currently limited despite a deployed GitHub Pages artifact.
Cameloo1 /
dfri
DFRI is a substantial, documented Python data product with a deployed scoreboard, statistical nowcasts, provenance-aware attribution, immutable ledgers, reproducible publication, tests, and CI, but currently has 0 stars and no demonstrated external adoption.
Cameloo1 /
codegraph-mcp
A substantial Rust workspace for proof-oriented code intelligence, with 10 crates, SQLite-backed graph/query layers, MCP and CLI surfaces, extensive docs, tests, and cross-platform CI; adoption remains minimal at 1 star.
Cameloo1 /
relaybase
A substantial, well-engineered TypeScript/Go local development control plane with MCP, agent approvals, routing, lifecycle verification, and a broad cross-platform CI/test system, but currently has no demonstrated adoption.
Cameloo1 /
free-inference-autoscaler
A carefully engineered, typed TypeScript admission-control library for zero-cost LLM routes, with strong safety boundaries, persistence, quota governance, extensive tests, and documentation, but no demonstrated adoption or sustained history.
Cameloo1 /
conversational-notifications
A substantial, security-conscious Windows notification system with a shipping PowerShell notifier and a release-gated conversational controller, backed by durable state, authenticated IPC, provider guards, and extensive tests, but with no demonstrated adoption yet.
Cameloo1 /
agent-friendly
A well-documented, security-conscious MCP gateway for Cloudflare’s agent-readiness scanner, with strong offline tests and cross-platform CI, but currently a one-day, zero-star project with no demonstrated external adoption.
Cameloo1 /
cameloo1
A small personal GitHub profile repo that pairs a scheduled Python-generated /ES market ticker with a polished README, but has no tests, license, typing, or demonstrated adoption.
Cameloo1 /
siem-lab
Documented but largely scaffolded local SIEM lab: Terraform creates Elasticsearch, Logstash, and Kibana containers, while ingestion, detections, dashboards, tests, and CI remain unimplemented.
Cameloo1 /
scaleless
scaleless is a clearly articulated infrastructure-safety thesis, but explicitly remains pre-implementation with no executable code, tests, CI, or demonstrated adoption.
06 · Timeline
- Oct 11, 2023Joined GitHub
- Aug 7, 2025Created siem-lab
- May 6, 2026Created relaybase — Manage multiple local dev servers from one place. Includes a dedicated lightweight agent and MCP controls for AI agents
- May 8, 2026Created codegraph-mcp — Local repo intelligence layer for AI coding agents. Indexes code into typed graphs, returns proof-labeled context packets, keeps changed files fresh, and validates edits with linte
- May 15, 2026Created scaleless
- May 20, 2026Created cameloo1
- Jul 19, 2026Created conversational-notifications — Get conversational status updates on agent activity — and talk back. On-device TTS announces, you reply by voice, and a dedicated agent answers with real thread, log, and repo cont
- Jul 31, 2026Created dbn-bookcheck — Reconstruct the ES order book from DBN market-by-order data and prove it against the exchange's own MBP-10 feed.
- Aug 4, 2026Created agent-friendly — A dedicated agent-readiness SEO scanner for your website. Wraps Cloudflare's isitagentready into an on-device MCP.
- Aug 4, 2026Created dfri — DFRI estimates the share of covered companies' U.S. consumer revenue funded by new consumer credit. It also predicts each month's change in U.S. consumer borrowing before the Feder
- Aug 8, 2026Created free-inference-autoscaler — Lets you use free models from OpenRouter and NVIDIA. Checks a route is actually free before each call, keeps background jobs from eating the quota your users need, and backs off wh
- Sep 18, 2026Most recent push to cameloo1
07 · Compare
08 · Rubric
How this score was produced
Overall = Σ (category × weight) + gentle top-end curve
Tier thresholds
▸ How the pipeline works
- 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.
- 02Triage.A small model reads every repo's file tree + README and picks the 20 files per repo that actually reveal how you code.
- 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.
- 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.
- 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.