01 · Roasts
One Bot To Rule Them All
Dizznem-Bot has CI, tests, ARCHITECTURE.md, 9 cogs, and a stock market system — then your next 11 repos are C++ homework and a file literally named 'Placeholder.' The portfolio range of a senior engineer and a freshman on the same GitHub.
The Sprint-and-Abandon Collector
Tree-Traversal: created and finished in 5 hours. Sorting-Algorithms: 7 days. Set-and-Dictionary: 2 days. Bengals-Seahawks-App: pushed within 14 seconds of creation. You treat GitHub like a homework drop box.
1 Star, 0 Forks, 100% Effort
Across 18 public repos you've accumulated exactly 1 star — on your own bot. The totalStars column has seen better days. At least the star isn't from yourself... right?
Placeholder.md Architect
You have a repo called 'Placeholder' whose entire README is the word 'Placeholder.' and a profile README repo. That's two repos — 11% of your portfolio — dedicated to describing the absence of content.
Python Supremacist (Reluctantly)
77% Python, with C++ appearing exclusively as a vessel for data structure homework. Java showed up once, left an 88 KB skeleton, and never came back. C# has 13% of the bytes and 0% of the commits anyone can find.
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% weight60C
- Quality20% weight57D
- Depth15% weight55D
- Breadth10% weight55D
- Community10% weight25F
03 · Stats
365-day commit heatmap
108 active days
Language distribution
- Python77%
- C#13%
- C++9%
- Java1%
04 · Numbers
Owned repos
non-fork
18
Commits
last 12 months
369
Followers
3
Joined GitHub
Jul 2023
05 · Top repos
mckinneyjaiden5418 /
Dizznem-Bot
A feature-rich Discord bot with economy, stocks, trivia, and YouTube features. Typed Python codebase with structured modules, tests, CI, and comprehensive documentation including ARCHITECTURE.md and design files. Single-star indie project with professional organization but limited external adoption.
mckinneyjaiden5418 /
Flappy-Pitch
Personal music-controlled Flappy Bird clone built in Python with pitch detection, state machine, and core game mechanics. Typed codebase with unit tests and structured src/ layout, but minimal README and no external adoption.
mckinneyjaiden5418 /
Affirmation-Bomber
Lightweight Python tkinter toy that spawns affirmation popup windows requiring phrase-matching to exit. Well-typed, has README and license, but minimal scope and community adoption.
mckinneyjaiden5418 /
Linked-List
Educational C++ linked list implementation (singly & doubly) with basic operations and simple test harness. No tests, CI, or license; untyped language with minimal scope—classic coursework project.
mckinneyjaiden5418 /
Data-Analysis
Educational data analysis project analyzing YouTube trending videos with feature engineering, EDA, and visualizations. Untyped Python with basic structure but no tests, CI, or meaningful architectural depth.
mckinneyjaiden5418 /
Instagram-Follower-Checker
Personal utility script that parses Instagram JSON exports to identify non-reciprocal followers. Minimal scope, single-file logic, no tests or CI, typed Python code with basic README.
mckinneyjaiden5418 /
Sorting-Algorithms
Tutorial implementation of 5 sorting algorithms in C++ (insertion, bubble, selection, merge, quick). Basic educational code with working implementations but no documentation, tests, or CI. Single-week sprint effort with minimal project scope.
mckinneyjaiden5418 /
Set-and-Dictionary
Schoolwork-scale C++ hash table implementations (Set, Dictionary) with basic functionality. No README, tests, CI, or license. 10KB codebase, 6 commits over 2 days. Suitable for learning but not production-ready.
mckinneyjaiden5418 /
Tree-Traversal
Educational C++ tree traversal implementation with BST and queue classes. Single-file project created and completed within same day; lacks documentation, tests, CI, and license. Demonstrates basic competency but remains a classroom exercise.
mckinneyjaiden5418 /
mckinneyjaiden5418
GitHub profile README with no functional code. 12 KB, minimal commits (7 of last 30), serves only as personal introduction with badges and contact links. No project substance.
mckinneyjaiden5418 /
Placeholder
Empty scaffold repo with minimal content. 8 KB codebase, trivial README ("Placeholder."), no tests, no CI, and no source files sampled. Shows 9 commits over ~4 weeks but represents a one-off dump with no meaningful output.
mckinneyjaiden5418 /
Bengals-Seahawks-App
Empty or near-empty Java scaffold with no README, no tests, no CI, no license. Created and pushed on same day (2026-05-03) with minimal commit history. No meaningful documentation or code samples available.
06 · Timeline
- Jul 17, 2023Joined GitHub
- Oct 3, 2025Created Dizznem-Bot — Discord bot.
- Nov 9, 2025Created Instagram-Follower-Checker — See if people you follow on Instagram follow you back.
- Jan 29, 2026Created Linked-List — Linked list implementation.
- Mar 26, 2026Created mckinneyjaiden5418 — README for GitHub profile.
- Apr 1, 2026Created Placeholder
- Apr 2, 2026Created Tree-Traversal — Tree traversal implementation.
- Apr 6, 2026Created Flappy-Pitch — Flappy Bird but played with your trumpet.
- Apr 13, 2026Created Set-and-Dictionary — Set and dictionary implementation.
- Apr 16, 2026Created Sorting-Algorithms — Implementation of several sorting algorithms.
- Apr 16, 2026Created Affirmation-Bomber — Self-affirmation bomber.
- Apr 21, 2026Created Data-Analysis — Analyzing data.
- May 3, 2026Created Bengals-Seahawks-App — Bengals and Seahawks news app.
- May 16, 2026Most recent push to Dizznem-Bot
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.