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#87 — Top 95.0%

100NikhilBro

Nikhil Gupta

B

Solid engineer

Overall

0.0

/ 100

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

  • Impact
    25% weight
    62C
  • Consistency
    20% weight
    80A
  • Quality
    20% weight
    75B
  • Depth
    15% weight
    58D
  • Breadth
    10% weight
    65C
  • Community
    10% weight
    55D

03 · Stats

365-day commit heatmap

217 active days

Less
More

Language distribution

6 langs
  • 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

62/100

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.

I20Q78D50
READMETestsCITyped
TypeScript015d ago

100NikhilBro /

backend-engineering-foundations

46/100

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.

I30Q58D50
READMETests
JavaScript9517d ago

100NikhilBro /

Second-Hand-Electronics

46/100

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.

I35Q62D35
READMETestsTyped
TypeScript01mo ago

100NikhilBro /

os_dbms

40/100

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.

I28Q42D50
README
Unknown2718d ago

100NikhilBro /

nodejs-scaling-lab

37/100

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.

I20Q42D50
README
JavaScript01mo ago

100NikhilBro /

100NikhilBro

35/100

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.

I30Q25D50
README
Unknown020d ago

100NikhilBro /

networks-foundation

34/100

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.

I25Q40D35
README
Unknown241mo ago

100NikhilBro /

genai-playground

34/100

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.

I20Q35D50
Tests
Python02mo ago

100NikhilBro /

devcontainer-lab

28/100

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.

I20Q40D25
README
JavaScript11mo ago

06 · Timeline

  1. Jan 23, 2025
    Joined GitHub
  2. Aug 17, 2025
    Created 100NikhilBro
  3. Dec 30, 2025
    Created backend-engineering-foundations — Backend Engineering, Low-Level Design, System Design, Networking, Security, SQL, and Distributed Systems explained through visual diagrams.
  4. May 9, 2026
    Created nodejs-scaling-lab — Experimenting with Node.js scaling, profiling, load balancing, Docker, NGINX, and backend infrastructure tooling.
  5. May 25, 2026
    Created genai-playground — Learning and experimenting with Generative AI using Python
  6. Jun 28, 2026
    Created devcontainer-lab — Learning and experimenting with VS Code Dev Containers, Docker-based development environments, and reproducible developer workflows.
  7. Jul 1, 2026
    Created networks-foundation — Visual Computer Networks notes with diagrams for learning, revision, and interview preparation.
  8. Jul 4, 2026
    Created knowledge-reasoning-system — A grounded knowledge reasoning system that combines knowledge graphs and semantic retrieval to produce evidence-backed, verifiable answers.
  9. Jul 11, 2026
    Created os_dbms — A visual-first repository for learning Operating Systems and Database Management Systems through structured diagrams.
  10. Aug 12, 2026
    Created Second-Hand-Electronics — A focused MVP to standardize used-device inspection, make pricing explainable, and reduce risky purchase decisions.
  11. Sep 5, 2026
    Most recent push to knowledge-reasoning-system

07 · Compare

github.com/
100NikhilBro · 6dmedian coder

08 · Rubric

How this score was produced

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

CategoryWeightScoreContrib.
Raw total67.2
Top-end curve+5.9
Final overall73.1

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.
100NikhilBro · 73.1/100 — Rate My GitHub