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#115 — Top 92.6%

dibyo10

Dibyo Chakraborty

B

Solid engineer

Overall

0.0

/ 100

01 · Roasts

Zero-star systems lab

The paged-KV engine claims 4.4x concurrency and has a live demo, but its 0 stars say the benchmark audience is still mostly you.

CI selective

agentgate has Docker-backed CI, gitleaks, and acceptance tests; several other substantial repos still treat CI as optional DLC.

Sprint-powered portfolio

meeting-intelligence-platform logged 30 sampled commits in six days, while web-automation-agent was born and pushed on the same day.

Horizontal builder

137 recent commit samples across repositories is serious output volume; the missing piece is turning more of it into adopted, maintained products.

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
    65C
  • Quality
    20% weight
    75B
  • Depth
    15% weight
    58D
  • Breadth
    10% weight
    95S
  • Community
    10% weight
    25F

03 · Stats

365-day commit heatmap

90 active days

Less
More

Language distribution

7 langs
  • Jupyter Notebook62%
  • TypeScript12%
  • Go8%
  • Python8%
  • JavaScript3%
  • Java3%
  • Other4%

04 · Numbers

Owned repos

non-fork

60

Commits

last 12 months

296

Followers

6

Joined GitHub

Aug 2024

05 · Top repos

dibyo10 /

agentgate

48/100

AgentGate is a documented, typed TypeScript measurement service with CLI and Fastify web/API surfaces, durable BullMQ/Postgres/Redis workers, SSRF and domain-policy controls, cost accounting, and extensive lifecycle/acceptance coverage; adoption is not yet demonstrated.

I25Q78D35
READMETestsCITyped
TypeScript0this week

dibyo10 /

paged-kv-cache-llm-inference-engine

48/100

A technically ambitious Go/Python paged-KV inference server with a live demo, real gRPC control-plane/worker split, strong allocator and model-correctness tests, but no visible adoption, CI, or license yet.

I30Q68D35
READMETestsTyped
Go0this week

dibyo10 /

type-ahead-system-for-scale

48/100

A documented, typed Go typeahead service with trie ranking, logical distributed caching, Postgres durability, trending scores, and batched writes; implementation is structured but lacks tests, CI, and adoption evidence.

I22Q60D50
READMETyped
Go0this week

dibyo10 /

v0-modern-portfolio-design

45/100

A deployed, polished TypeScript/Next.js portfolio with modular sections, Framer Motion effects, canvas particle systems, and a Three.js gradient-descent visualization; adoption is unproven and engineering validation is limited.

I25Q60D50
READMETyped
TypeScript02mo ago

dibyo10 /

meeting-intelligence-platform

35/100

A substantial but early-stage AI meeting product: FastAPI/SQLite ingestion, Whisper and pyannote processing, Gemini extraction, ChromaDB RAG, analytics, and a React UI, with strong design documentation but no tests, CI, license, or demonstrated adoption.

I25Q45D35
README
Python02mo ago

dibyo10 /

Distributed-Cache

32/100

A documented Go cache prototype with tested O(1) LRU, mutex/sharded cache variants, HTTP node endpoints, and a consistent-hash package, but Phase 2 routing remains unimplemented and adoption is currently absent.

I20Q56D20
READMETestsTyped
Go01mo ago

dibyo10 /

web-automation-agent

30/100

A documented JavaScript Google ADK + Gemini + Playwright browser-automation agent with modular services, DOM/vision targeting, and smoke/wiring scripts, but it is a same-day, zero-star project without CI or tests.

I20Q50D20
README
JavaScript02mo ago

dibyo10 /

devops-homework

29/100

A documented DevOps homework repository covering seven Linux, shell, networking, Git, and Docker exercises, with runnable Compose examples and a static validation script, but no demonstrated adoption or automated CI/tests.

I20Q45D20
README
Shell0this week

dibyo10 /

dibyo10

25/100

A personal GitHub profile configuration repository with a README full of stack badges and one scheduled contribution-snake workflow; it has presentation value but no substantive software product or tested implementation.

I10Q30D35
READMECI
Unknown0this week

06 · Timeline

  1. Aug 20, 2024
    Joined GitHub
  2. Jun 11, 2025
    Created dibyo10 — Config files for my GitHub profile.
  3. Jan 1, 2026
    Created v0-modern-portfolio-design
  4. Jun 18, 2026
    Created meeting-intelligence-platform
  5. Jun 21, 2026
    Created type-ahead-system-for-scale
  6. Jun 24, 2026
    Created web-automation-agent
  7. Jul 3, 2026
    Created Distributed-Cache
  8. Sep 1, 2026
    Created paged-kv-cache-llm-inference-engine — Paged KV cache inference server. Go control plane, Python worker. 97% pool utilization vs 22% baseline, 4.4x concurrency, output bit-identical to HuggingFace.
  9. Sep 2, 2026
    Created devops-homework — DevOps homework: Linux, shell scripting, networking, Git and Docker exercises with runtime evidence
  10. Sep 2, 2026
    Created agentgate
  11. Sep 3, 2026
    Most recent push to dibyo10

07 · Compare

github.com/
dibyo10 · 6dmedian coder

08 · Rubric

How this score was produced

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

CategoryWeightScoreContrib.
Raw total64.2
Top-end curve+5.6
Final overall69.8

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.
dibyo10 · 69.8/100 — Rate My GitHub