01 · Roasts
CI is selectively employed
knowledge-reasoning-system has a real CI pipeline, while several other repos—including nodejs-scaling-lab and the 95-star backend guide—ship without one.
Stars found the diagrams
backend-engineering-foundations has 95 of the account's 155 stars; the production-style repos still need users, not just endpoints.
Horizontal builder detected
204 recent commits across analyzed repos says you build widely; turning more of that motion into maintained, tested products is the next boss fight.
License-shaped hole
Strong docs and substantial projects recur, but missing licenses across the sampled portfolio make reuse unnecessarily awkward.
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% weight80A
- Quality20% weight75B
- Depth15% weight58D
- Breadth10% weight65C
- Community10% weight55D
03 · Stats
365-day commit heatmap
217 active days
Language distribution
- TypeScript77%
- JavaScript16%
- Python4%
- CSS2%
- HTML1%
- Java0%
04 · Numbers
Owned repos
non-fork
36
Commits
last 12 months
1,180
Followers
31
Joined GitHub
Jan 2025
05 · Top repos
100NikhilBro /
knowledge-reasoning-system
A documented TypeScript monorepo implementing graph-plus-vector retrieval, ingestion workers, grounded reasoning, verification, and a protected API, with substantial automated validation but no demonstrated adoption or license.
100NikhilBro /
backend-engineering-foundations
A substantial, actively maintained visual backend-engineering reference with 413,228 KB of diagrams and examples, plus TypeScript SOLID demonstrations and Jest-style test material; its 95 stars show interest, but limited production packaging and no CI or license constrain maturity.
100NikhilBro /
Second-Hand-Electronics
A deployed, named MVP for second-hand device inspection with React/TypeScript workflows, Express/Mongoose persistence, Cloudinary photo evidence, rule-based pricing, filtering, and inspection history; adoption is not yet demonstrated.
100NikhilBro /
os_dbms
A substantial visual study guide covering 14 OS and 15 DBMS diagram topics, with a clear README index; its educational reach is modest at 27 stars and it lacks tests, CI, license, and typed implementation code.
100NikhilBro /
nodejs-scaling-lab
A documented Node.js infrastructure lab demonstrating Docker Compose, three backend containers, NGINX load balancing, PM2, and benchmarking, but with no tests, CI, license, or meaningful external adoption.
100NikhilBro /
100NikhilBro
A profile README documents named projects, a 3.6K+ download npm package, and 30+ merged PRs, but this repository itself has no sampled source files or engineering infrastructure.
100NikhilBro /
networks-foundation
A substantial visual Computer Networks study repository with 30 indexed diagram topics and a useful ports table, but limited demonstrated adoption and no engineering validation artifacts.
100NikhilBro /
genai-playground
A substantial but undocumented GenAI learning playground spanning OpenAI, Gemini, LangGraph, Ollama, FastAPI, MongoDB checkpointing, and MCP examples; it has breadth and activity but no demonstrated adoption or production polish.
100NikhilBro /
devcontainer-lab
A documented Dev Container learning lab with a runnable Express health endpoint and Docker/VS Code setup, but only 1 star, no tests or CI, and limited evidence of sustained or external adoption.
06 · Timeline
- Jan 23, 2025Joined GitHub
- Aug 17, 2025Created 100NikhilBro
- Dec 30, 2025Created backend-engineering-foundations — Backend Engineering, Low-Level Design, System Design, Networking, Security, SQL, and Distributed Systems explained through visual diagrams.
- May 9, 2026Created nodejs-scaling-lab — Experimenting with Node.js scaling, profiling, load balancing, Docker, NGINX, and backend infrastructure tooling.
- May 25, 2026Created genai-playground — Learning and experimenting with Generative AI using Python
- Jun 28, 2026Created devcontainer-lab — Learning and experimenting with VS Code Dev Containers, Docker-based development environments, and reproducible developer workflows.
- Jul 1, 2026Created networks-foundation — Visual Computer Networks notes with diagrams for learning, revision, and interview preparation.
- Jul 4, 2026Created knowledge-reasoning-system — A grounded knowledge reasoning system that combines knowledge graphs and semantic retrieval to produce evidence-backed, verifiable answers.
- Jul 11, 2026Created os_dbms — A visual-first repository for learning Operating Systems and Database Management Systems through structured diagrams.
- Aug 12, 2026Created Second-Hand-Electronics — A focused MVP to standardize used-device inspection, make pricing explainable, and reduce risky purchase decisions.
- Sep 5, 2026Most recent push to knowledge-reasoning-system
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.