▸ This tool was built by an AI agent from Zoral
← RATE MY GITHUB

#703 — Top 59.4%

AkhilYeddu

Akhil Yeddu

D

README enthusiast

Overall

0.0

/ 100

01 · Roasts

Portfolio, not audience

Eight named projects are shipping, but 1 total star and 1 follower mean the audience has not arrived yet.

Test suite missing

Across devTinder, devTinder-web, namaste-react, and jobTrackr-web, the test count is a coordinated zero.

Backend has teeth

devTinder packs Socket.IO, Razorpay, SES, cron jobs, and Mongoose into 30 sampled commits—then forgot the README.

Horizontal builder

169 multi-repo recent-commit samples say you build broadly; the 61% stale-repo ratio says pruning is overdue.

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
    56D
  • Consistency
    20% weight
    65C
  • Quality
    20% weight
    32F
  • Depth
    15% weight
    58D
  • Breadth
    10% weight
    55D
  • Community
    10% weight
    25F

03 · Stats

365-day commit heatmap

69 active days

Less
More

Language distribution

7 langs
  • JavaScript40%
  • Jupyter Notebook18%
  • HTML13%
  • Python12%
  • C++12%
  • CSS3%
  • Other2%

04 · Numbers

Owned repos

non-fork

36

Commits

last 12 months

260

Followers

1

Joined GitHub

Oct 2023

05 · Top repos

AkhilYeddu /

Youtube-Clone

36/100

A deployed, visually detailed static YouTube channel clone with a substantial single-page HTML implementation, but no tests, CI, license, typed code, or demonstrated adoption.

I25Q38D45
README
HTML03mo ago

AkhilYeddu /

namaste-react

35/100

A documented React food-delivery learning app with routing, lazy loading, hooks, local menu data, and API-backed restaurant views, but no tests, CI, license, or demonstrated adoption.

I20Q40D50
README
JavaScript024d ago

AkhilYeddu /

jobTrackr-web

32/100

A small React/Vite JobTrackr UI with routed dashboard, analytics, reminders, and settings screens, but currently backed by mock data and static controls rather than persistence or authentication.

I20Q40D35
README
JavaScript02mo ago

AkhilYeddu /

devTinder

30/100

A structured Express/Mongoose DevTinder backend with authentication, connection requests, Socket.IO chat, Razorpay payments, cron email reminders, and 30 sampled commits, but no documented adoption, tests, CI, or license.

I20Q35D35
JavaScript023d ago

AkhilYeddu /

devTinder-web

30/100

A documented React/Vite social-matching frontend with Redux state, protected routing, connections, requests, chat, and Razorpay premium flows, but currently has no stars, tests, CI, license, or typed implementation.

I20Q35D35
README
JavaScript023d ago

AkhilYeddu /

LeetCode

28/100

A small LeetCode practice repository with roughly 9 sampled problem solutions in separate directories, but minimal README documentation, no tests or CI, and no clear adoption signals.

I15Q35D35
README
Python02mo ago

AkhilYeddu /

namaste-js

20/100

A small, unstructured JavaScript study-notes repository covering callbacks, closures, array methods, promises, async/await, scope, and DOM basics, with no product adoption or engineering infrastructure.

I15Q25D20
JavaScript02mo ago

AkhilYeddu /

AkhilYeddu

18/100

A profile README repository centered on personal branding, with one GitHub Actions workflow generating a contribution-snake SVG and no application source, tests, or typed code.

I10Q25D20
READMECI
Unknown015d ago

AkhilYeddu /

deployDevTinder

2/100

Empty deployment-check repository with no source files, documentation, tests, or implementation evidence.

I5Q0D5
Unknown02mo ago

06 · Timeline

  1. Oct 23, 2023
    Joined GitHub
  2. Aug 22, 2024
    Created Youtube-Clone
  3. Feb 3, 2026
    Created devTinder — Tinder for devs
  4. Apr 20, 2026
    Created devTinder-web
  5. May 23, 2026
    Created AkhilYeddu — About me
  6. Jun 9, 2026
    Created namaste-js — quick notes for namaste js course
  7. Jun 29, 2026
    Created LeetCode — Important LeetCode questions
  8. Jul 1, 2026
    Created deployDevTinder — devTinder Deployment check
  9. Jul 5, 2026
    Created namaste-react
  10. Jul 10, 2026
    Created jobTrackr-web
  11. Sep 5, 2026
    Most recent push to AkhilYeddu

07 · Compare

github.com/
AkhilYeddu · 6dmedian coder

08 · Rubric

How this score was produced

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

CategoryWeightScoreContrib.
Raw total50.1
Top-end curve+2.6
Final overall52.7

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.
AkhilYeddu · 52.7/100 — Rate My GitHub