Work built with Tailwind

AI answer-engine visibility platform — measures whether AI assistants cite you.

A full Laravel application that probes answer engines on a schedule and records whether a client is cited, mentioned, or absent for a given prompt. Built the provider layer, the matcher, and the scheduled runner, plus a Filament admin for reviewing verdicts. The reporting deliberately keeps three states rather than blending them into one score, because a brand being named without a citation is a different problem from not appearing at all. Exposed over MCP so an assistant can query citation data directly as a tool rather than through a dashboard.

• Laravel 12
• PHP 8.2
• Filament
• Alpine.js
• Tailwind
• SQLite
• MCP server

Crypto paper-trading and market education — live prices, practice portfolios, sentiment.

A Next.js client on Vercel against a Python API on Render, with Supabase for auth and Postgres behind row-level security. Prices come from CoinGecko; sentiment is scored by a FinBERT model running in the API. The trading surface is paper-only by design, and the education layer, The Read, is a factual status card about a token rather than a call. Ships as a paid product on Stripe.

• Next.js
• React
• TypeScript
• Tailwind
• FastAPI
• Supabase
• Postgres + RLS
• Stripe