01 · Roasts
Zero Stars, Zero Forks, Zero Mercy
Across 16 public repos and multiple years on GitHub, totalStars=0 and totalForks=0. The internet has collectively declined to click the star button even once. Even your mom hasn't starred Portfolio.
Test? Never Heard of It.
HAS_TESTS=no on every single scored repo—monitoring-stack, ai-stack, powershell-Scripting, terraform-aws-cloudcampusiq, all of them. You've written 400-line CI workflows but apparently tests are someone else's problem.
The Heatmap Looks Like Deep Space
Your public heatmap is 52 weeks of void with the occasional supernova—week 33 had a 4-commit burst, week 39 had a 4-commit burst, and then silence. privateWorkLikely=true is doing a lot of heavy lifting here.
terraform-aws-cloudcampusiq: The One-Day Wonder
Created 2026-03-22, last push 2026-03-22. You designed a multi-AZ VPC with RDS failover and Auto Scaling Groups... in a single day... for a WGU assignment. Depth score: 20. The architecture diagram has more layers than your commit history.
soloPct: 100%
Every single commit, across every single repo, is you talking to yourself. totalPRsYear=1. One. You opened exactly one pull request to the entire internet this year. The community tab must feel very lonely.
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% weight57D
- Depth15% weight58D
- Breadth10% weight80A
- Community10% weight25F
03 · Stats
365-day commit heatmap
12 active days
Language distribution
- HTML29%
- CSS20%
- HCL15%
- Python12%
- Java10%
- JavaScript7%
- Other7%
04 · Numbers
Owned repos
non-fork
15
Commits
last 12 months
84
Followers
5
Joined GitHub
Nov 2020
05 · Top repos
nicolasnkGH /
ai-stack
Personal infrastructure-as-code project for self-hosted LLM stack with Docker, GPU passthrough, hybrid storage. Well-documented (README + 4 architecture docs), typed configs, but no tests, no CI, and 0 stars. 23/30 recent commits over 42 days shows sustained work on a ~3MB codebase (estimated ~10k LOC equiv from docker
nicolasnkGH /
monitoring-stack
Home lab observability stack (Prometheus/Grafana/Loki) with comprehensive GitOps CI/CD, typed shell scripts, structured docker-compose, and detailed README—but minimal adoption (0 stars), young repo (7 months), and no tests.
nicolasnkGH /
powershell-Scripting
Personal infrastructure-as-code project with Azure VM provisioning scripts and GitHub Actions CI. PowerShell automation with documented workflows, but zero external adoption (0 stars) and mixed scope across Azure and Docker configs.
nicolasnkGH /
Portfolio
Personal portfolio website in vanilla HTML/CSS/JS with modern dark theme, typing animations, and responsive design. No external reuse or adoption; a showcase project with structured layout and working interactivity but minimal architecture scope.
nicolasnkGH /
media-download
Docker Compose-based media stack (Radarr, Sonarr, Lidarr, qBittorrent) with VPN integration, comprehensive CI validation, and structured .env templating. Untyped, no tests, but documented and operationally sound for a home media server project.
nicolasnkGH /
terraform-aws-cloudcampusiq
Academic coursework turned into working Terraform infrastructure. Multi-tier AWS architecture (VPC, EC2 ASG, RDS, S3, ALB) with CI validation but 0 stars, recent creation, and minimal commit history (3 commits in last 30 days).
nicolasnkGH /
dev-journey-archive
Archive of early learning experiments (2018–2025) spanning Python, networking, and Flask. Educational value only; explicitly a historical record before transition to production DevOps work, not a shipped tool or library.
nicolasnkGH /
nicolasnkGH
Personal GitHub profile/portfolio repo with README showcasing career and featured projects. No actual code, tests, CI, license, or .gitignore. 27 KB, likely a markdown-only scaffold.
nicolasnkGH /
home-networking-setup
4 KB documentation-only repo describing a home lab setup with VLANs, Proxmox, and DNS services. No code, tests, CI, or license; limited commits (2 of last 30); serves as personal reference rather than shareable tool or library.
nicolasnkGH /
nextcloud-aio-setup
A nascent deployment wrapper for Nextcloud AIO with minimal original code (Shell script) and no sustained work; 0 stars/forks, single file repo, created March 2025 with sporadic commits. Readme describes intent but lacks runnable depth.
06 · Timeline
- Nov 28, 2020Joined GitHub
- Jul 31, 2022Created Portfolio — My Web Portfolio
- Feb 7, 2025Created home-networking-setup — Enterprise-level home lab infrastructure with VLANs, firewall configurations, VPN setup, Docker containers, and Proxmox virtualization - simulating production network environments
- Feb 7, 2025Created media-download — Cross-platform media download utility with automated processing - supporting multiple sources, batch downloads, and organized library management
- Feb 7, 2025Created nicolasnkGH
- Mar 25, 2025Created nextcloud-aio-setup — Production-grade Nextcloud All-in-One deployment with Docker - self-hosted collaboration platform, file sync, and enterprise content management
- Sep 20, 2025Created powershell-Scripting — Azure Infrastructure as Code automation with PowerShell and GitHub Actions - VM provisioning, resource management, and cloud deployment pipelines
- Oct 27, 2025Created monitoring-stack — Full observability stack deployment with Prometheus, Grafana, Alertmanager - centralized monitoring and visualization for infrastructure and applications
- Jan 15, 2026Created ai-stack — Self-hosted AI/ML infrastructure stack with GPU acceleration, Docker containerization, ZFS storage, and comprehensive observability - production-ready local LLM deployment
- Mar 21, 2026Created dev-journey-archive — My developer learning journey and exploratory projects (2018-2025) - foundational experiments before transitioning to DevOps and infrastructure automation
- Mar 22, 2026Created terraform-aws-cloudcampusiq
- May 15, 2026Most recent push to monitoring-stack
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.