All Projects

$ ls -la ./projects --sort=priority

$ls ./projects

13 projects found

nemotron-harness-profile.json
{
"name": "Nemotron 3 Ultra Harness Profile",
"tagline": "Open-source Deep Agents harness profile that brought NVIDIA's open Nemotron 3 Ultra within a point of Opus 4.8 at ~10x lower cost per run",
"stack": ["Deep Agents", "NVIDIA Nemotron", "LangSmith", "Agent Evals", "Python"],
"best run": "0.86 vs Opus 4.8's 0.87",
"cost per run": "~10x lower ($4.48 vs $43.48)"
"status": "live"
}
$ view-project →
restock-agent.json
{
"name": "Restock",
"tagline": "Slack agent that buys real office supplies through Stripe's Link wallet — spending limits and approvals live in code the model can't touch",
"stack": ["Managed Deep Agents", "Stripe Link", "MPP", "Slack", "Python"],
"approvals": "Slack review + Link wallet",
"payment rail": "Link over MPP (HTTP 402)"
"status": "demo"
}
$ view-project →
agentcore-payments.json
{
"name": "AgentCore Payments for LangChain",
"tagline": "Launch sample with AWS for LangChain agents that pay for x402 APIs — budgets enforced by Bedrock AgentCore, every purchase traced and evaluated in LangSmith",
"stack": ["Bedrock AgentCore", "LangChain", "LangSmith", "x402", "Python"],
"budget enforcement": "AgentCore infrastructure, not the prompt",
"policy cases": "$1.00, $0.50, and too-small limits"
"status": "demo"
}
$ view-project →
nba-correlation-pipeline.json
{
"name": "NBA Correlation Analysis Pipeline",
"tagline": "End-to-end pipeline from web scraping to context-stratified correlation and DVP analysis across 27,990 player-game records",
"stack": ["Python", "pandas", "scipy", "BeautifulSoup", "ML"],
"records processed": 27,990,
"correlations calculated": 89,181
"status": "live"
}
$ view-project →
lingopt.json
{
"name": "LingoPT",
"tagline": "AI-powered English speaking coach built as a Christmas gift for my mom",
"stack": ["AWS", "GenAI", "React", "Serverless"],
"aiModel": "Claude 3.5 Sonnet",
"awsServices": "5 (Bedrock, Polly, Transcribe, S3, Lambda)"
"status": "live"
}
$ view-project →
nfl-prediction-system.json
{
"name": "NFL Matchup Prediction System",
"tagline": "Percentile-based NFL matchup predictions using EPA metrics and coverage scheme analysis",
"stack": ["Python", "Statistical Modeling", "EPA Metrics", "pandas", "numpy"],
"methodology": "Percentile-based",
"metrics tracked": "EPA, success rate, directional tendencies"
"status": "live"
}
$ view-project →
nba-ar-stats.json
{
"name": "NBA AR Stats Viewer",
"tagline": "iOS AR app that identifies NBA players and overlays live stats in augmented reality",
"stack": ["Swift", "ARKit", "RealityKit", "AWS Rekognition", "iOS", "Computer Vision", "NBA"],
"platform": "iOS",
"ar framework": "ARKit + RealityKit"
"status": "complete"
}
$ view-project →
mlb-dfs-engine.json
{
"name": "MLB DFS Matchup Engine",
"tagline": "MLB matchup analysis and DFS scoring pipeline powered by Savant, FanGraphs, and DraftKings data",
"stack": ["Python", "AWS Lambda", "Selenium", "pandas", "Docker", "S3"],
"pipeline lines": 1,362,
"metrics per player": 19
"status": "live"
}
$ view-project →
property-analyzer.json
{
"name": "Property Analysis Platform",
"tagline": "Chrome extension + web portal for real estate analysis with favorites, compare, and auth",
"stack": ["JavaScript", "Chrome APIs", "React", "Authentication"],
"components": "Chrome Extension + Web Portal",
"features": "Auth, Favorites, Compare, Profiles"
"status": "complete"
}
$ view-project →
date-night-games.json
{
"name": "Date Night Game Picker",
"tagline": "Playful mini-game collection with Anthropic-inspired UI where winners pick dinner courses",
"stack": ["HTML", "CSS", "JavaScript", "UI Design"],
"mini games": 4,
"design system": "Anthropic-inspired UI"
"status": "complete"
}
$ view-project →
fantastock.json
{
"name": "FantaStock",
"tagline": "Fantasy stock trading game introducing young adults to risk-free investing",
"stack": ["Python", "Flask", "PostgreSQL", "React", "Figma", "Alpha Vantage API"],
"team size": 2,
"stack": "Flask + PostgreSQL + React"
"status": "complete"
}
$ view-project →
assignment-organizer.json
{
"name": "Assignment Organizer",
"tagline": "College assignment organizer with UVA class API integration",
"stack": ["Django", "Python", "PostgreSQL", "AWS S3", "AWS IAM", "Heroku", "REST APIs"],
"stack": "Django + S3 + Heroku",
"data source": "UVA Class List API"
"status": "complete"
}
$ view-project →
playverse.json
{
"name": "PlayVerse",
"tagline": "Cross-platform music medley app for iOS and Android",
"stack": ["React", "Ionic Framework", "Spotify API", "HTML/CSS", "iOS", "Android"],
"platforms": "iOS + Android",
"framework": "Ionic (cross-platform)"
"status": "complete"
}
$ view-project →