01 · Roasts
proof-i-code is proof of something
You literally named a repo 'proof-i-code' and described it as 'a timeline of my suffering' with forgotten files. Buddy, that's not a portfolio entry — that's a police report.
21% Makefile energy
One in five bytes you've ever written to GitHub is a Makefile. You're not a developer, you're a build system enthusiast with a side hustle in C++.
5 total stars, 1 repo 'on hold'
qrtunnel has all 5 of your stars — a full 100% star concentration in one repo that's also 5 months old. The rest of the portfolio is collectively running a 0-star deficit.
esphost: 6 commits, abandoned
You built a PyQt6 desktop app, C++ ESP32 firmware, AND a Cloudflare tunnel proxy in a single day, then put it 'on hold'. The ambition-to-follow-through ratio here is architectural.
Heatmap ramp-up arc
Months 1–5 on GitHub: cricket sounds. Months 6–12: actually shipping. You wasted the first semester of your GitHub career staring at the sign-up confirmation email.
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% weight56D
- Consistency20% weight65C
- Quality20% weight72B
- Depth15% weight65C
- Breadth10% weight65C
- Community10% weight50D
03 · Stats
365-day commit heatmap
161 active days
Language distribution
- C++49%
- Makefile21%
- Python15%
- C5%
- Java3%
- TypeScript3%
- Other4%
04 · Numbers
Owned repos
non-fork
12
Commits
last 12 months
395
Followers
21
Joined GitHub
Aug 2024
05 · Top repos
AniruthKarthik /
nets
Hybrid puzzle game (JavaFX + C++ engine) demonstrating algorithmic depth with BT/DP/DAC solvers, optimized graph operations, and real-time visualization. Well-structured codebase with comprehensive documentation.
AniruthKarthik /
qrtunnel
Python file-sharing tool via QR code with SSH/ngrok tunneling. Typed-lang NO but includes working TUI, LAN/WAN routing, OTP auth, multi-file support. Has tests, CI, docs, structured src. Young repo (5 months, 30 commits) with ~3.5kB codebase; non-trivial indie shipping.
AniruthKarthik /
project-sandbox
Archive of 7 experimental prototypes (dingest, p2pressure, log-noise-filter, etc.); dingest is the flagship with multi-tier typed Python/Node/React architecture, comprehensive tests, and detailed docs; others are proof-of-concept stage. No stars/forks; not actively maintained.
AniruthKarthik /
vfi
Motion estimation and frame interpolation suite with production-ready C++ engine (multi-scale pyramid, SAD block matching) and experimental Python RIFE implementation. Typed C++17, structured src/, reasonable scope (~12 KB, ~350 LOC main pipeline), but no CI/tests and 0 stars.
AniruthKarthik /
proof-i-code
Unorganized personal coding journal with 30 recent commits (C++), no tests/CI/license. Self-described as daily experimental work ("proof I code"), lacking structure and documentation beyond a candid README.
AniruthKarthik /
nvim-config
Personal NvChad configuration template with minimal scope (41 KB), no tests/CI, and limited architectural substance. Designed as a user starter config, not a standalone tool or library.
AniruthKarthik /
esphost
Early-stage ESP32 web hosting toolchain: PyQt6 desktop app + C++ firmware for flashing, serving static files via SPIFFS, and tunneling via Cloudflare. Lacks README, tests, and CI; incomplete samples suggest incomplete implementation or work-in-progress state.
06 · Timeline
- Aug 13, 2024Joined GitHub
- Jun 19, 2025Created nvim-config — nvchad config
- Jul 6, 2025Created proof-i-code — Daily commits. Proof I code.
- Jul 24, 2025Created project-sandbox
- Nov 7, 2025Created qrtunnel — qrtunnel — share or receive files instantly via QR code with smart LAN + tunnel routing, zero logins, and simple security
- Dec 20, 2025Created nets
- Jan 12, 2026Created vfi — Motion estimation and frame interpolation suite.
- Mar 23, 2026Created esphost — on hold
- Apr 23, 2026Most recent push to nvim-config
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.