Ryan Gonyon

I help founders stabilize AI-built and workflow-heavy web apps.

My strongest work is in Next.js, React, TypeScript, Supabase, Stripe, Vercel, auth, webhooks, dashboards, and production-readiness reviews for products that already exist but need to become reliable.

radical.codes | GitHub | LinkedIn | Email

What I Work On

• AI-built app rescue: reviewing Lovable, Replit, Cursor, and other AI-assisted builds before they become production liabilities.
• Founder-built product hardening: turning promising but fragile apps into something safer to launch, demo, or sell.
• Workflow-heavy SaaS and internal tools: dashboards, admin flows, approval queues, client portals, marketplace operations, and automation surfaces.
• Payment, auth, and data trust boundaries: Stripe, Supabase, RLS, account state, webhook handling, role permissions, and failure paths.
• Technical audits with implementation: identifying the highest-risk blocker, proving it, and fixing the first useful slice.

Selected Proof

• AutoMarkets - live automotive marketplace work involving listing workflows, marketplace/admin logic, and production-facing delivery constraints.
• Data Flow Canvas MVP - simple pipeline runner showing transform, API request, and output composition.

More client-safe proof is being consolidated from private work into public demos and case-study style repositories. Current candidates include a Stripe/webhook lab, an AI-built app readiness audit demo, and a review-queue workflow proof.

How I Work

I usually start with a short orientation pass, then touch the code quickly. For messy systems, the first milestone should produce a decision, a working proof, or a reduced risk surface instead of a broad rebuild plan.

My default sequence:

1. Map the current app, data flow, and deployment state.
2. Identify the highest-risk boundary: auth, payments, data access, webhooks, admin actions, or release process.
3. Prove the failure path or missing behavior.
4. Fix the smallest meaningful slice.
5. Leave a clear handoff: what changed, how it was verified, and what should happen next.

Stack

Primary: TypeScript, React, Next.js, Vite, Node.js, Supabase, PostgreSQL, Stripe, Vercel, Playwright, GitHub, Obsidian, Codex.

Adjacent: Python, Streamlit, automation scripts, AI workflow tooling, data ingestion, browser automation, and creator/operator systems.

Background

I have a computer science degree from the University of Central Florida, worked professionally as an engineer, and have taught programming, math, and web development across tutoring, classroom, and online settings.

That teaching background still affects how I build: I care about systems that are understandable, handoff-friendly, and usable by the people who actually operate them.

Good Fit

Reach out if you have:

• a working app that feels fragile;
• an AI-generated product that needs a real engineering pass;
• Stripe, Supabase, auth, or webhook behavior you do not fully trust;
• a workflow-heavy dashboard or internal tool that needs to be clearer and more reliable;
• a founder-built product where judgment matters more than raw feature volume.

Email: coderradical@gmail.com