Current ventures

Three products, one operating lesson.

These are not portfolio mockups. They are the products I built after leaving FanDuel to test whether I could own product, engineering, AI workflows, marketing, and launch loops myself. Each venture below pairs the story, proof, stack, and actual product UI in one place.

FlagshipLive on iOS and Android

Get Mentors

Founder and full-stack product engineer

The startup I have wanted to build since I was 21: an AI-guided mentorship product that turns the wisdom of high-performing founders, operators, investors, and thinkers into plans, actions, check-ins, and progress loops.

Rebuilt the product from the ground up after false starts around fundraising, market, B2B/B2C direction, and product shape.

Built streaming AI mentor chat, mentor boards, roundtables, goal journeys, semantic search, and content systems.

Created a custom data-enrichment process that turns mentor source material into structured AI profiles, search context, and product-ready guidance loops.

Owns mobile, web, backend, app-store release, positioning, marketing automation, and early GTM loops.

Stack and systems

React NativeTypeScriptLaravelPostgreSQLpgvectorStreaming AISentry

Available on the App Store and Google Play

Interface samples

Get Mentors Today screen with a prioritized action and AI coach context

Get Mentors

Today and next action

Get Mentors AI mentor conversation grounded in the user journey

Get Mentors

AI mentor conversation

Get Mentors journey map with phases, actions, and progress states

Get Mentors

Structured journey

Get Mentors mentor board selection and personalization screen

Get Mentors

Mentor board

Venture 02Live on iOS

LiveVault

Founder and product engineer

A focused listening product for the Grateful Dead archive, built with a senior UI/UX designer to turn thousands of tapes into a searchable, comparable, offline-ready experience with guided context built into discovery.

Built the Expo mobile product, web experience, archive proxy/API, playback flows, source comparison, offline downloads, and release pipeline.

Designed the domain model behind shows, sources, songs, transitions, listening events, personal vaults, and the Live Guide.

Shows how domain love can become product judgment: context, source quality, community trust, and archive structure matter as much as UI.

Stack and systems

ExpoReact NativeNext.jsArchive APIsAudio UXOffline DownloadsAI Guide

Available on the App Store

Interface samples

LiveVault daily discovery screen with archive context and listening recommendations

LiveVault

Daily discovery

LiveVault show detail with source choices, track list, and AI guide access

LiveVault

Tape and source depth

LiveVault personal vault with listening history, saved shows, and trip progress

LiveVault

My Vault

LiveVault guided listening episode with narration and chapter segments

LiveVault

Live Guide episode

Venture 03Coming soon

Our Little World

Founder and mobile engineer

A private baby book I built for my wife, my baby, and families who need a better way to preserve the photos, videos, firsts, and small memories that get lost in the camera roll.

Built mobile app, marketing site, Supabase backend, family invites, baby timeline, firsts, letters, and gift/billing foundation.

Bridged native iOS Vision face matching into an Expo app for smarter family photo discovery.

Proves emotional product design, privacy instincts, consumer trust, and production mobile execution.

Stack and systems

React NativeExpoSupabasePostgreSQLNative iOSVisionRevenueCat

iOS and Android launch in progress

Interface samples

Our Little World private family timeline with prompts and saved milestones

Our Little World

Family timeline

Our Little World baby book with a monthly chapter, firsts, letters, and print preview

Our Little World

Living baby book

Our Little World first milestones organized inside the family book

Our Little World

Firsts

Our Little World memory detail connected to a first, letter, note, and weekly recap

Our Little World

Connected memory

The pattern is not idea collecting.

The pattern is that I can sit with a messy opportunity long enough to find the product, then use modern AI tooling to move from product architecture to production code, launch surface, and GTM feedback loops with a small-team pace.