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#60 — Top 96.6%

Premchandyadav369

V C Premchand Yadav

B

Solid engineer

Overall

0.0

/ 100

01 · Roasts

Commit firehose, quiet audience

17,570 yearly commits and 277 multi-repo volume versus 3 total stars: the keyboard has fans, the projects need users.

Portfolio hoarder

At least six named products ship across finance, agriculture, space, logistics, and biotech—pick a flagship and make strangers care.

CI is selective

SAFRA and CrawlMind automate checks, but RICE24 has no CI and AETHER lets pytest failures slide with `|| true`.

Demo disclosure champion

QuantaPath has the portfolio's clearest deployment and 2 stars, but its README also admits the quantum optimization is simulated.

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
    68C
  • Consistency
    20% weight
    80A
  • Quality
    20% weight
    72B
  • Depth
    15% weight
    58D
  • Breadth
    10% weight
    80A
  • Community
    10% weight
    55D

03 · Stats

365-day commit heatmap

111 active days

Less
More

Language distribution

7 langs
  • HTML68%
  • Python27%
  • TypeScript2%
  • JavaScript1%
  • Kotlin1%
  • CSS0%
  • Other1%

04 · Numbers

Owned repos

non-fork

46

Commits

last 12 months

17,570

Followers

26

Joined GitHub

Jun 2024

05 · Top repos

Premchandyadav369 /

AETHER

55/100

A large, documented AETHER drug-discovery platform with FastAPI, RDKit, PyTorch, frontend build automation, tests, and CI; adoption is unproven at 0 stars and several scientific outputs are explicitly surrogate or simulated.

I22Q68D50
READMETestsCI
HTML028d ago

Premchandyadav369 /

mind-pattern-analyzer

48/100

A substantial typed TypeScript/React cognitive-bias analysis app with Supabase AI functions, local fallback analysis, evaluation utilities, visualizations, and tested statistical/calibration modules, but no CI, license, or demonstrated adoption.

I20Q75D50
READMETestsTyped
TypeScript015d ago

Premchandyadav369 /

QuantaPath

48/100

QuantaPath is a deployed, named Next.js/TypeScript logistics demo with substantial route-optimization UI and solver services, but adoption is minimal and several analytics are explicitly mocked or simulated.

I38Q55D50
READMECITyped
TypeScript21mo ago

Premchandyadav369 /

DEBRIX

48/100

A substantial typed TypeScript space-operations showcase with 3D scenes, orbital calculations, live-data proxies, simulations, and a documented React UI, but no demonstrated adoption and only a placeholder test.

I20Q62D50
READMETestsTyped
TypeScript02mo ago

Premchandyadav369 /

RISKOS

47/100

RISKOS is a substantial documented quantitative-finance web/API project with FastAPI, SQLAlchemy, market-provider failover, portfolio analytics, a JavaScript terminal UI, and realtime-provider tests, but it has no stars, CI, or license.

I35Q55D50
READMETests
Python015d ago

Premchandyadav369 /

SAFRA

45/100

SAFRA is a substantial typed FastAPI/Next.js buildathon simulation with policy, cryptographic audit, graph, ML, and large-scale event components, but has no demonstrated adoption and was created only one day ago.

I20Q60D50
READMECITyped
TypeScript020d ago

Premchandyadav369 /

CrawlMind

43/100

CrawlMind is a documented, multi-module FastAPI/Next.js crawling and research platform with SSRF, robots-policy handling, hybrid retrieval, graph extraction, CI, and Kubernetes deployment artifacts, but has no demonstrated adoption and remains an early burst-stage project.

I20Q58D50
READMECI
Python01mo ago

Premchandyadav369 /

RICE-Lite

43/100

A substantial Kotlin/Jetpack Compose agriculture app with camera AI scanning, Room-backed farm planning, irrigation and fertilizer calculators, but no demonstrated adoption, CI, license, or test suite.

I20Q58D50
READMETyped
Kotlin01mo ago

Premchandyadav369 /

RICE24

42/100

Documented typed Next.js/Genkit agriculture application with crop planning and two financial calculators, but no stars, tests, CI, license, or demonstrated external adoption.

I20Q55D50
READMETyped
TypeScript018d ago

Premchandyadav369 /

Premchandyadav369

30/100

A GitHub profile README repository centered on branding and automated contribution graphics, with two scheduled workflows but no substantive application source, tests, license, or typed implementation.

I15Q40D35
READMECI
Unknown015d ago

06 · Timeline

  1. Jun 27, 2024
    Joined GitHub
  2. May 23, 2025
    Created RICE24
  3. Aug 15, 2025
    Created QuantaPath
  4. Aug 21, 2025
    Created Premchandyadav369
  5. Mar 8, 2026
    Created DEBRIX
  6. Mar 8, 2026
    Created mind-pattern-analyzer
  7. Jun 30, 2026
    Created RICE-Lite — Boring day->do some vibecoding
  8. Aug 9, 2026
    Created CrawlMind
  9. Aug 12, 2026
    Created RISKOS
  10. Aug 19, 2026
    Created AETHER — Public Repo for AETHER RAMI
  11. Aug 30, 2026
    Created SAFRA
  12. Sep 5, 2026
    Most recent push to RISKOS

07 · Compare

github.com/
Premchandyadav369 · 6dmedian coder

08 · Rubric

How this score was produced

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

CategoryWeightScoreContrib.
Raw total69.6
Top-end curve+6.0
Final overall75.6

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.
Premchandyadav369 · 75.6/100 — Rate My GitHub