projects.json

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      "name": "Prize Fighter",
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      "description": "A single-player roguelike deckbuilder in Godot where every relic comes out of a gachapon machine. Drop rates are printed on the machine, the pity dial is visible, and dupes always upgrade. It is a slot machine where you rig the slots, and rigging them is the strategy game. Combat and capsule logic live in a pure, engine-independent sim with a headless test suite, and the pull ceremony (coin clunk, drum rattle, pop reveal) gets the same obsessive attention as the math. No real-money purchases, ever.",
      "tags": [
        "Godot",
        "GDScript",
        "Systems Design",
        "Authored RNG"
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      "name": "Asset Cluster Migration",
      "category": "Research",
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      "visible": true,
      "description": "My thesis project and the thing I'm most proud of right now. The question: does diversification break down structurally, with assets defecting between clusters before correlation levels and volatility confirm anything? I built the whole pipeline from scratch: consensus Leiden clustering over rolling windows, a topology deformation score, tail-dependence networks, and a 7-stage analysis where every published number regenerates from one results file. A 76-ETF multi-asset panel over 16 years, 11 stress episodes studied, and the failures are documented right next to the findings.",
      "tags": [
        "Python",
        "Spectral Clustering",
        "Transfer Entropy",
        "HMM",
        "NetworkX",
        "Graph Theory"
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      "id": "jenkins-discord-bot",
      "name": "Jenkins the Law",
      "category": "Bot",
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      "visible": true,
      "description": "Jenkins is an AI bot with a full personality, real voice, and opinions about everything. He lives in our Discord server and has 7 different alter egos he switches between, real time voice chat through ElevenLabs, persistent memory so he actually remembers conversations, and an autonomous preaching schedule where he lectures the server on random topics. Built him as a passion project and he's honestly become a real member of the community at this point.",
      "tags": [
        "discord.js",
        "DeepSeek",
        "ElevenLabs",
        "Node.js",
        "Telegram"
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      "id": "quorum",
      "name": "Quorum",
      "category": "AI Systems",
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      "description": "A multi-model deliberation engine, open source under MIT. Ask a panel of language models one question and Quorum runs a structured deliberation: every model answers blind first so nobody anchors, an adversarial skeptic attacks the emerging consensus, and a distiller maps where the panel actually agrees instead of counting votes. Built after months of running ad hoc model councils by hand and noticing that naive fan-out voting is often worse than one good model. Every verdict ships with a fully replayable transcript.",
      "tags": [
        "Python",
        "LLM Orchestration",
        "Multi-Agent",
        "MIT"
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      "id": "polymarket-agents",
      "name": "Polymarket Agents",
      "category": "Research",
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      "description": "A multi agent research system that analyzes prediction markets using CrewAI. Four specialized AI agents work together to pull sentiment data from 8 different sources, run ensemble NLP analysis (VADER, TextBlob, and LLM scoring), and cross reference with Kalshi and Manifold data. Originally built to find pricing gaps in Polymarket, the research actually proved these markets are surprisingly efficient. The real value ended up being the infrastructure itself.",
      "tags": [
        "CrewAI",
        "DeepSeek",
        "FastAPI",
        "PostgreSQL",
        "LangChain",
        "GDELT"
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      "id": "stock-signal-engine",
      "name": "Stock Signal Engine",
      "category": "ML Pipeline",
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      "description": "A personal ML research project exploring ensemble methods across several model architectures, from gradient boosting to recurrent and transformer networks. Models train daily on historical data, a meta-learner combines outputs, and an LLM judge cross-checks results with macro context. The whole thing runs on cron jobs with automated retraining, staleness checks, deadman alerts, and daily report generation. Built purely as a learning exercise in production ML engineering, not financial advice or a trading system. This is the project where I learned the most about building systems that actually run without babysitting.",
      "tags": [
        "TensorFlow",
        "XGBoost",
        "GRU",
        "TFT",
        "Python",
        "DuckDB"
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      "id": "nabla",
      "name": "nabla",
      "category": "Foundations",
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      "visible": true,
      "description": "A reverse-mode automatic differentiation engine written from scratch on NumPy. No PyTorch, no autograd library, just the chain rule with hand-derived vector-Jacobian products. Every gradient is derived on paper in the docs and verified against finite differences in the test suite, including the softmax cross-entropy cancellation most tutorials skip. It is real enough to train neural nets: the 3-class spiral example hits 99% accuracy. I built it because I wanted to know exactly what loss.backward() does. Now I do.",
      "tags": [
        "Python",
        "NumPy",
        "Autodiff",
        "Hand-Derived VJPs"
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      "id": "fractal-madness",
      "name": "Fractal Madness",
      "category": "Graphics",
      "color": "#5b7bff",
      "featured": true,
      "visible": true,
      "description": "A real-time GPU raymarcher for high-dimensional fractals. Eight worlds, including a Mandelbulb whose power exponent morphs continuously, a genuine 4D quaternion Julia set you can slide through along the fourth axis, and a black hole that is not a fractal at all: it integrates null geodesics around a Schwarzschild metric, so the lensing and the photon ring simply emerge from the ray bending. Python is just the window glue. Every pixel is sphere-traced distance estimation in one big GLSL fragment shader. The animated background on this site is its tiny WebGL cousin.",
      "tags": [
        "GLSL",
        "OpenGL",
        "Raymarching",
        "Python"
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    {
      "id": "wow-forever-guild",
      "name": "Wow Forever Guild",
      "category": "Unknown",
      "color": "#8888aa",
      "featured": false,
      "visible": false,
      "description": "Auto-discovered project. Edit project-config.json to add a description and set visible to true.",
      "tags": [
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        "TypeScript"
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      "id": "ticker-prophet",
      "name": "Ticker Prophet",
      "category": "Bot",
      "color": "#2dd4bf",
      "featured": false,
      "visible": true,
      "description": "A personal data lookup tool I built to satisfy my own curiosity about how real-time API integrations work. Pulls quotes, charts, and fundamentals for various asset classes. The interesting engineering challenge was building a unified interface across multiple data providers and learning how to work with financial APIs at scale. Purely a personal learning project.",
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        "Node.js",
        "FMP API",
        "DeepSeek"
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      "id": "godslayer",
      "name": "Godslayer",
      "category": "Game",
      "color": "#f59e0b",
      "featured": false,
      "visible": true,
      "description": "A World of Warcraft: Forever addon I wrote for my guild. It keeps score in our running world PvP feud with the biggest guild network on the other faction: who you beat, how often, a title ladder, and a leaderboard that syncs itself between guildmates. The interesting part was the engineering. The new version of the game hides the combat log from addons, so kills have to be inferred from the few signals the game still exposes, without double counting. I could not run it in the game while building, so I wrote a stand-in for the game's API in plain Lua and tested against that, including a soak test that throws 900,000 random events at it and checks the books still balance.",
      "tags": [
        "Lua",
        "WoW Addon API",
        "Property Testing",
        "MIT"
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      "id": "torchcall",
      "name": "Torchcall",
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      "description": "Auto-discovered project. Edit project-config.json to add a description and set visible to true.",
      "tags": [
        "Code"
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      "id": "forecast-comparison-lab",
      "name": "forecast-compare",
      "category": "Research",
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      "featured": false,
      "visible": true,
      "description": "A small Python package for honest forecast comparison, published with CI and a real test suite. Diebold-Mariano and Giacomini-White tests, stationary bootstrap confidence intervals, Model Confidence Sets, and FDR correction, all behind one compare_models() call. The part I care about most is a stability diagnostic that asks not just whether two models differ on average, but when that gap appears or disappears. Runtime dependencies are numpy and scipy, nothing else.",
      "tags": [
        "Python",
        "Statistics",
        "Bootstrap",
        "Hypothesis Testing"
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    },
    {
      "id": "gabriela-junqueira",
      "name": "Gabriela Junqueira",
      "category": "Unknown",
      "color": "#8888aa",
      "featured": false,
      "visible": false,
      "description": "Auto-discovered project. Edit project-config.json to add a description and set visible to true.",
      "tags": [
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      "id": "ice-cream-forecasting",
      "name": "Ice Cream Production Forecasting",
      "category": "Research",
      "color": "#e94560",
      "featured": false,
      "visible": true,
      "description": "Full ARIMA/SARIMA time series forecasting pipeline. Built this for a class project but went way deeper than required. Includes exploratory data analysis, stationarity testing, model selection with AIC/BIC, residual diagnostics, and out-of-sample forecasting. Good example of how I approach a statistics problem from scratch.",
      "tags": [
        "Python",
        "ARIMA",
        "SARIMA",
        "Statsmodels",
        "Time Series"
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      "github": "https://github.com/studyalwaysbro/Ice-Cream-Production-Forecasting",
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      "id": "tavares-construction-website",
      "name": "Tavares Construction Website",
      "category": "Unknown",
      "color": "#8888aa",
      "featured": false,
      "visible": false,
      "description": "Auto-discovered project. Edit project-config.json to add a description and set visible to true.",
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      "id": "twitter-agent",
      "name": "Twitter Agent",
      "category": "Automation",
      "color": "#4361ee",
      "featured": false,
      "visible": true,
      "description": "An automated content pipeline for Twitter/X. DeepSeek drafts posts based on recent ML research and academic topics, then queues them for human review before posting. Nothing goes out without a person looking at it first, but it handles all the drafting and scheduling.",
      "tags": [
        "Python",
        "DeepSeek",
        "Twitter API"
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      "github": "https://github.com/studyalwaysbro/twitter-agent",
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    },
    {
      "id": "yeeterson-forge",
      "name": "Yeeterson Forge",
      "category": "Tooling",
      "color": "#2dd4bf",
      "featured": false,
      "visible": true,
      "description": "An addon updater for World of Warcraft: Forever on Linux, written as one Python file with nothing but the standard library. I wanted an updater small enough to read in one sitting, so every decision it makes is explicit: downloads are hash-checked, zips that try to write outside their folder are refused, an addon built for the wrong game version never lands, and a failed update is rolled back so you are never left half-installed. It never touches anything while the game is running. When an author blocks third-party downloads it respects that instead of working around it. No telemetry, no account. 66 tests, and I broke the code on purpose 24 ways to make sure the tests notice.",
      "tags": [
        "Python",
        "CLI",
        "systemd",
        "Linux",
        "MIT"
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      "github": "https://github.com/studyalwaysbro/yeeterson-forge",
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      "id": "torchbinds",
      "name": "Torchbinds",
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      "color": "#8888aa",
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      "visible": false,
      "description": "Auto-discovered project. Edit project-config.json to add a description and set visible to true.",
      "tags": [
        "TypeScript"
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    },
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      "id": "yeet-terminal",
      "name": "YeetTerminal",
      "category": "Learning Project",
      "color": "#2dd4bf",
      "featured": false,
      "visible": true,
      "description": "A personal learning project where I taught myself React by building a terminal-style, multi tab data dashboard: screeners, macro views, rates, breadth, media panels, and a command bar to jump between them. Purely educational, built it because I wanted to understand how frontend frameworks actually work after years of only writing Python.",
      "tags": [
        "React",
        "Vite",
        "REST APIs",
        "Data Visualization"
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      "id": "python-learning-lab",
      "name": "Python Learning Lab",
      "category": "Unknown",
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      "id": "phonk-lab",
      "name": "Phonk Lab",
      "category": "Music",
      "color": "#f472b6",
      "featured": false,
      "visible": true,
      "description": "Original deep house and phonk, written entirely in Python. Pattern sequencing with hand-tuned 57 percent swing, soundfont instruments, sidechained sine subs layered an octave under the bass, and FFT-verified mastering targets. The craft notes log what actually makes a groove move, including everything that did not work. Started because sampling other people's music is a licensing minefield; kept going because writing my own turned out to be more fun.",
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        "Python",
        "librosa",
        "Audio DSP",
        "Sequencing"
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      "id": "openclaw-bot",
      "name": "OpenClaw Bot",
      "category": "Bot",
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      "featured": false,
      "visible": false,
      "description": "Discord server management bot with audio features. Handles server automation, game nights, economy system, and achievement tracking for our community.",
      "tags": [
        "discord.js",
        "Node.js"
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      "id": "daily-reminders",
      "name": "Daily Reminders",
      "category": "Utility",
      "color": "#2dd4bf",
      "featured": false,
      "visible": false,
      "description": "Simple daily checklist app. Tasks persist but checkboxes reset every day. Built it for personal use.",
      "tags": [
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        "JavaScript"
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      "id": "api-monitor",
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      "id": "legacy-python-scripts",
      "name": "Legacy Python Scripts",
      "category": "Research",
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      "id": "portfolio-council",
      "name": "Portfolio Council",
      "category": "Unknown",
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      "description": "Auto-discovered project. Edit project-config.json to add a description and set visible to true.",
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      "id": "_archived",
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      "visible": false,
      "description": "Auto-discovered project. Edit project-config.json to add a description and set visible to true.",
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    {
      "id": "operator-memory",
      "name": "Operator Memory",
      "category": "Unknown",
      "color": "#8888aa",
      "featured": false,
      "visible": false,
      "description": "Auto-discovered project. Edit project-config.json to add a description and set visible to true.",
      "tags": [
        "Code"
      ],
      "github": null,
      "github_private": false,
      "stats": {
        "last_activity": "unknown",
        "spark": []
      }
    },
    {
      "id": "yeet-cannon-broker",
      "name": "Yeet Cannon Broker",
      "category": "Unknown",
      "color": "#8888aa",
      "featured": false,
      "visible": false,
      "description": "Auto-discovered project. Edit project-config.json to add a description and set visible to true.",
      "tags": [
        "Python"
      ],
      "github": null,
      "github_private": false,
      "stats": {
        "last_activity": "unknown",
        "spark": [
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          0
        ]
      }
    },
    {
      "id": "moonshot-radar",
      "name": "Moonshot Radar",
      "category": "Unknown",
      "color": "#8888aa",
      "featured": false,
      "visible": false,
      "description": "Auto-discovered project. Edit project-config.json to add a description and set visible to true.",
      "tags": [
        "Python"
      ],
      "github": null,
      "github_private": false,
      "stats": {
        "last_activity": "unknown",
        "spark": []
      }
    },
    {
      "id": "temple",
      "name": "Temple",
      "category": "Unknown",
      "color": "#8888aa",
      "featured": false,
      "visible": false,
      "description": "Auto-discovered project. Edit project-config.json to add a description and set visible to true.",
      "tags": [
        "Code"
      ],
      "github": null,
      "github_private": false,
      "stats": {
        "last_activity": "unknown",
        "spark": []
      }
    },
    {
      "id": "mandelbrot-area",
      "name": "Mandelbrot Area",
      "category": "Unknown",
      "color": "#8888aa",
      "featured": false,
      "visible": false,
      "description": "Auto-discovered project. Edit project-config.json to add a description and set visible to true.",
      "tags": [
        "Python"
      ],
      "github": null,
      "github_private": false,
      "stats": {
        "last_activity": "unknown",
        "spark": []
      }
    },
    {
      "id": "bond-radar",
      "name": "Bond Radar",
      "category": "Unknown",
      "color": "#8888aa",
      "featured": false,
      "visible": false,
      "description": "Auto-discovered project. Edit project-config.json to add a description and set visible to true.",
      "tags": [
        "Code"
      ],
      "github": null,
      "github_private": false,
      "stats": {
        "last_activity": "unknown",
        "spark": []
      }
    },
    {
      "id": "torchlinks",
      "name": "Torchlinks",
      "category": "Unknown",
      "color": "#8888aa",
      "featured": false,
      "visible": false,
      "description": "Auto-discovered project. Edit project-config.json to add a description and set visible to true.",
      "tags": [
        "Code"
      ],
      "github": null,
      "github_private": false,
      "stats": {
        "last_activity": "unknown",
        "spark": []
      }
    },
    {
      "id": "ubuntu-2604-readiness",
      "name": "Ubuntu 2604 Readiness",
      "category": "Unknown",
      "color": "#8888aa",
      "featured": false,
      "visible": false,
      "description": "Auto-discovered project. Edit project-config.json to add a description and set visible to true.",
      "tags": [
        "Code"
      ],
      "github": null,
      "github_private": false,
      "stats": {
        "last_activity": "unknown",
        "spark": []
      }
    },
    {
      "id": "torchcall-backups",
      "name": "Torchcall Backups",
      "category": "Unknown",
      "color": "#8888aa",
      "featured": false,
      "visible": false,
      "description": "Auto-discovered project. Edit project-config.json to add a description and set visible to true.",
      "tags": [
        "Code"
      ],
      "github": null,
      "github_private": false,
      "stats": {
        "last_activity": "unknown",
        "spark": []
      }
    },
    {
      "id": "nag",
      "name": "Nag",
      "category": "Unknown",
      "color": "#8888aa",
      "featured": false,
      "visible": false,
      "description": "Auto-discovered project. Edit project-config.json to add a description and set visible to true.",
      "tags": [
        "Code"
      ],
      "github": null,
      "github_private": false,
      "stats": {
        "last_activity": "unknown",
        "spark": []
      }
    },
    {
      "id": "claude-five",
      "name": "Claude Five",
      "category": "Unknown",
      "color": "#8888aa",
      "featured": false,
      "visible": false,
      "description": "Auto-discovered project. Edit project-config.json to add a description and set visible to true.",
      "tags": [
        "Python"
      ],
      "github": null,
      "github_private": false,
      "stats": {
        "last_activity": "unknown",
        "spark": []
      }
    },
    {
      "id": "yeet-quant",
      "name": "Yeet Quant",
      "category": "Unknown",
      "color": "#8888aa",
      "featured": false,
      "visible": false,
      "description": "Auto-discovered project. Edit project-config.json to add a description and set visible to true.",
      "tags": [
        "Python"
      ],
      "github": null,
      "github_private": false,
      "stats": {
        "last_activity": "unknown",
        "spark": []
      }
    },
    {
      "id": "torchroll",
      "name": "Torchroll",
      "category": "Unknown",
      "color": "#8888aa",
      "featured": false,
      "visible": false,
      "description": "Auto-discovered project. Edit project-config.json to add a description and set visible to true.",
      "tags": [
        "Code"
      ],
      "github": null,
      "github_private": false,
      "stats": {
        "last_activity": "unknown",
        "spark": []
      }
    }
  ],
  "generated": "2026-11-03T05:12:20.327388+00:00"
}