Matt Hasson — Engineering Leader & AI-Augmented Builder

// About

I build things that
people actually use.

I spent 4 years at Sonos building CI/CD infrastructure, then started Hasson, Inc. to build and ship my own products. I've shipped 8 production apps since — all live, most with paying users or real clients.

Then I left to build my own things. I've shipped 8 production apps since — all solo, all live, most with paying users or real clients. I'm not precious about the stack; I pick whatever ships the product. I use AI as a force multiplier across every phase of development, and it's a core part of how I operate at the speed I do.

Shipped Apps

Own

Company

Technologies Used

Solo

Built & Deployed

// Experience

Where I've built.

2023 — Present

Hasson, Inc.

Founder & Full-Stack Engineer

Building and shipping production applications end-to-end as an independent software company. Shipped 8 live products across web and mobile — handling architecture, development, payments integration, deployment, and client delivery. Leveraging AI-augmented workflows to operate at startup speed as a solo engineering org.

React / Next.js React Native Flutter FastAPI Node.js PostgreSQL Stripe / Square AI-Augmented Dev

2019 — 2023

Sonos

Build & Automation Engineer

Designed and maintained CI/CD automation infrastructure for both frontend and backend systems. Built pipelines, tooling, and test automation that kept Sonos shipping reliably at scale across hardware and software releases.

CI/CD Build Automation Frontend Pipelines Backend Pipelines Test Automation

// Projects

Shipped & deployed.

Production applications solving real problems — from financial analytics to mobile habit tracking to business operations.

InsightTrader

Trading Journal & Analytics Platform

Full-stack trading journal with CSV import supporting 12+ brokers, trade reconstruction engine, equity curve visualization, calendar heatmaps, and AI-powered analysis tools. Monorepo architecture with separate web and API services.

12+ broker integrations · Monte Carlo analysis · AI trade coaching

Next.js 15 React 19 FastAPI Supabase Fly.io Stripe OpenAI Anthropic TypeScript

Visit Live Site

Habify

AI-Powered Habit Tracker · Mobile App

Mobile habit tracking app replacing streak-based systems with a physics-inspired momentum engine. Features AI coaching, gamification with XP/levels/badges, behavioral insights, and push notifications. Live on the Google Play Store.

Momentum engine · AI coach · Live on Google Play

React Native Expo FastAPI Supabase OpenAI RevenueCat Redis Docker

Visit Live Site

West Roxbury Framing

Business Management System

Production business management platform for a custom framing shop. Full order lifecycle with Kanban workflow, Square payment processing, Twilio SMS notifications, inventory tracking, customer CRM, and public marketing site.

Square payments · Kanban workflow · SMS notifications · CRM

Next.js 16 React 19 Prisma PostgreSQL Square API Twilio Postmark TypeScript

Visit Live Site

SecureChat

End-to-End Encrypted Messaging

Cross-platform encrypted messaging app with NaCl Box cryptography (X25519 + XSalsa20-Poly1305). Real-time WebSocket messaging with per-message ephemeral keys for forward secrecy. Zero-knowledge server — the backend never sees plaintext.

E2E encryption · Forward secrecy · Zero-knowledge server

Flutter FastAPI PostgreSQL NaCl/libsodium WebSockets JWT Railway

Strategy Reality Check

Trading Strategy Validator

Statistical analysis tool for traders. Upload trade history, define strategy rules, and get a verdict on whether your edge is real or just luck — powered by Monte Carlo simulation with 10,000 iterations.

Monte Carlo simulation · 10K iterations · Statistical verdict

Next.js 14 React Neon Postgres NextAuth.js TypeScript Tailwind CSS

Visit Live Site

CarCompare

Vehicle Comparison Tool

Compare up to 4 vehicles side-by-side across 10 specification categories. Database of 600+ vehicles from 47 brands with cascading dropdowns and responsive design. Single-file deployment — zero dependencies.

600+ vehicles · 47 brands · Zero dependencies

JavaScript HTML5 CSS3 No Libraries

Visit Live Site

PolyBot

Polymarket Alpha Scanner

Automated prediction market scanner that fetches active Polymarket markets, scores them for alpha potential using liquidity, volume, and spread analysis, then deep-researches top picks via Perplexity AI. Generates a slick terminal-style dashboard with verdicts, profit scores, key findings, and risk factors for each play.

Alpha scoring engine · AI-powered research · Terminal dashboard

Python Polymarket API Perplexity AI HTML/CSS/JS

Visit Live Site

// Tech Stack

Tools of the trade.

Technologies I use across the full stack — frontend to infrastructure, payments to AI.

⚡

Frontend

React / React Native

Next.js

Expo

TypeScript

Tailwind CSS

Framer Motion

Flutter

⚙️

Backend

FastAPI

Python

Node.js

Prisma

SQLAlchemy

WebSockets

🗃️

Data

PostgreSQL

Supabase

Neon

Redis

🤖

AI / ML

OpenAI / GPT-4

Anthropic Claude

AI Pair Programming

Monte Carlo Simulation

☁️

Infrastructure

AWS

Vercel

Fly.io

Railway

Docker

GitHub Actions

Microservices

💳

Payments / APIs

Stripe

Square

Twilio

Postmark

RevenueCat

📱

Mobile

React Native

Expo

Flutter

Google Play Store

🧪

Testing

Playwright

Postman

Pytest

E2E Testing

Sentry

PostHog

// Experience

8 years at Sonos.

From technical support to engineering infrastructure — I grew through the company, solving progressively harder problems at larger scale.

2019 — 2023

Build & Automation Engineer

Owned CI/CD infrastructure serving Sonos engineering across frontend and backend systems. Reduced build failure rates from 30% to 0.9% and cut build times by 77%, directly accelerating release velocity across hardware and software product lines. Built end-to-end test automation frameworks using Playwright across microservices architectures, validated API contracts with Postman, and leveraged AWS services for scalable build and deployment infrastructure. Mentored engineers across multiple teams on build systems, testing strategy, and DevOps best practices.

CI/CD Playwright Test Automation Microservices AWS Postman Pipeline Architecture Cross-Team Mentorship

2015 — 2019

Technical Support Engineer & Team Lead

Led technical support teams of 3–10 engineers, building escalation workflows and developing diagnostic tools for troubleshooting complex network interference issues across Sonos's connected device ecosystem. Bridged the gap between customer-facing support and engineering, translating field data into actionable improvements for product teams.

Team Leadership Diagnostic Tooling Escalation Workflows Network Troubleshooting Cross-Functional Collaboration

// Deep Dives

Case studies.

A closer look at the engineering decisions, tradeoffs, and results behind two key projects.

Case Study

InsightTrader

Trading Journal & Analytics Platform

Problem

Existing trading journals were either too simple (spreadsheets) or too expensive and bloated. Traders needed a tool that could ingest data from any broker, reconstruct complex multi-leg trades, and provide genuine statistical insight — not just pretty charts.

12+

Broker Integrations

10K

Monte Carlo Sims

Solo

Full-Stack Build

Approach

Built a monorepo architecture with a Next.js 15 frontend and FastAPI backend. Designed a universal CSV parser that normalizes data across 12+ broker formats. Implemented a trade reconstruction engine that handles splits, merges, and partial fills. Added AI-powered analysis using both OpenAI and Anthropic for trade coaching.

Results

Live at insighttrader.io with active users and Stripe subscriptions. The Monte Carlo simulation engine processes 10,000 iterations in under 2 seconds. Users can import their entire trading history and get statistical analysis of their edge within minutes.

Case Study

Habify

AI-Powered Habit Tracker

Problem

Streak-based habit trackers punish users for missing a single day, destroying motivation. The psychology literature shows that momentum — not perfection — drives lasting behavior change. No app on the market implemented this insight.

Live

Google Play Store

Coaching Engine

Gamification System

Approach

Designed a physics-inspired momentum engine that calculates habit strength based on consistency, recency, and frequency — not binary streaks. Built with React Native + Expo for cross-platform, FastAPI backend with Supabase, and an AI coaching system using GPT-4 that adapts to each user's patterns.

Results

Published on the Google Play Store with monetization via RevenueCat. The momentum system reduced user churn from missed days by reframing progress. Gamification layer (XP, levels, badges) drives daily engagement. AI coach provides personalized suggestions based on completion history.

// Writing

Thinking out loud.

Notes on building software, using AI effectively, and shipping fast as a solo engineer.

AI Engineering

The Real AI-Augmented Workflow

Everyone says they use AI to code. Here's what it actually looks like across 8 production launches — the parts that work, the parts that don't, and why engineering judgment still matters more than prompt quality.

Coming Soon

Shipping

From Sonos to Solo: What Changes

8 years at a hardware company taught me how to build systems. Going solo taught me how to ship products. The skills overlap less than you'd think — here's what I had to unlearn.

Coming Soon

Architecture

Why I Keep Choosing FastAPI + Next.js

After shipping 8 apps across different stacks, I keep coming back to the same core combo. Not because it's trendy — because it lets a solo developer move at the speed of a small team.

Coming Soon

Matthew Hasson

I build things that
people actually use.