01 · Roasts
Commit furnace
1,557 commits this year says you are online; 139 units of multi-repo volume says you are online in several tabs at once.
CI rationing
Grond-desktop has tests and CI, but many of the portfolio's serious apps still ship with the automation lights off.
Starving for stars
343 public repos and 104 followers, yet only 14 total stars: the shipping velocity is outrunning discoverability.
Scaffold jump scare
mipinsight is a zero-KB repository with zero implementation artifacts—the portfolio did not need a ghost repo cameo.
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% weight68C
- Consistency20% weight80A
- Quality20% weight79B
- Depth15% weight58D
- Breadth10% weight95S
- Community10% weight55D
03 · Stats
365-day commit heatmap
278 active days
Language distribution
- Java46%
- C++20%
- TypeScript19%
- Python6%
- Go2%
- C1%
- Other6%
04 · Numbers
Owned repos
non-fork
23
Commits
last 12 months
1,557
Followers
104
Joined GitHub
Jan 2021
05 · Top repos
mzf11125 /
Grond-desktop
Documented, typed Python/TypeScript OSINT platform with a FastAPI service, Electron dashboard, LangGraph pipeline, evidence provenance, authorization gates, tests, CI, and multiple external-tool adapters; adoption is not yet demonstrated.
mzf11125 /
grond-dashboard
Typed Next.js/Electron analyst dashboard with Intel, datasheet, recon, and admin-oriented navigation, API integrations, schema-tolerant report parsing, and authorization-aware scanning UX; adoption is not demonstrated by its 0 stars or forks.
mzf11125 /
avalanche-mcp-server
Typed, documented Avalanche MCP server exposing 13 network, ICM, ICTT, status, decoding, and L1-scaffolding tools, with focused Vitest coverage but no CI and limited demonstrated adoption.
mzf11125 /
paparan-ai
Paparan.ai is a substantial typed TypeScript/FastAPI policy-intelligence application with LangGraph orchestration, Supabase/pgvector integration, OSINT enrichment, document extraction, and PDF/PPTX exports, but it lacks CI, a license, and authoritative automated tests.
mzf11125 /
zkurrent
A documented, typed TypeScript Sui/Midnight LP-agent prototype with LangGraph orchestration, Supabase persistence, x402 API, and policy/audit layers, but only 1 star and no tests or CI indicate limited adoption and validation.
mzf11125 /
hadirsejenak
A polished, typed React 19/Vite 8 volunteer-community landing site with 12 routes, centralized content, reusable UI primitives, responsive design, and accessibility touches, but no tests, CI, license, stars, or demonstrated external adoption.
mzf11125 /
unclonable-agent-execution-credentials
A documented draft ERC-1953 Solidity/Noir reference implementation with coupled execution guards, adversarial Foundry tests, and explicit security tradeoffs, but no stars or demonstrated adoption and an unfinished placeholder verifier circuit.
mzf11125 /
midnight-mobile-sdk
A documented, strictly typed TypeScript React Native SDK with wallet, storage, indexer, contract, and DApp modules, but only 2 stars and several explicitly placeholder or incomplete security/blockchain implementations.
mzf11125 /
tawf-ntt
A polished TypeScript/Vite donation landing page with wallet-connected native and USDC transfers across Polygon, Base, and Arbitrum, supported by strict compiler settings and clear deployment/configuration documentation.
mzf11125 /
palm-oil-com-serv
A substantial typed React/Vite analyst workspace for palm-oil concession screening, POCI/ABCD scoring, portfolio selection, evidence tracking, and validation, with strong domain tests but no README, CI, license, or demonstrated adoption.
mzf11125 /
maiive-florist
A polished TypeScript/Next.js florist storefront prototype with browsing, product detail, cart, and checkout flows, but no documented adoption, tests, CI, backend persistence, or real payment integration.
mzf11125 /
mipinsight
mzf11125/mipinsight is an empty repository scaffold: it has zero stars, zero KB, no fetched source files, and no documented implementation for the stated Midnight Network idea.
06 · Timeline
- Jan 25, 2021Joined GitHub
- Mar 29, 2026Created midnight-mobile-sdk
- Apr 17, 2026Created paparan-ai
- Apr 28, 2026Created maiive-florist
- May 3, 2026Created avalanche-mcp-server — MCP server for live Avalanche network data — L1 stats, ICM messages, ICTT transfers, validator info, and L1 scaffolding
- Jun 1, 2026Created zkurrent
- Jun 1, 2026Created grond-dashboard
- Jun 1, 2026Created Grond-desktop
- Aug 7, 2026Created unclonable-agent-execution-credentials
- Aug 15, 2026Created mipinsight — Inspired by EIP Insight, for the Midnight Network
- Aug 17, 2026Created palm-oil-com-serv
- Aug 24, 2026Created tawf-ntt
- Aug 25, 2026Created hadirsejenak — Hadir Sejenak — landing page (komunitas relawan)
- Sep 2, 2026Most recent push to midnight-mobile-sdk
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.