Case Study

ArmedIQ

A secure mobile companion for responsible collection owners.

Role
Founder · Product Manager · Technical Lead
Timeline
2025 — Present
Team
Solo founder + AI-assisted delivery
Tech
React, TypeScript, Ionic Capacitor
01 / Executive Summary

Executive Summary

ArmedIQ is a secure, mobile-first application for responsible firearm collectors and owners to manage inventories, maintenance, ammunition, range sessions, competition history, hunting logs, and secure document storage. I own product vision, UX, roadmap, AI-assisted development, testing, App Store deployment, and overall strategy.

02 / Business Challenge

Business Challenge

Responsible firearm owners lacked a modern, private tool built specifically for them. Existing options were either spreadsheet-grade or hobbyist forums with no security posture worth trusting.

03 / Constraints

Constraints

  • Solo founder economics — every hour has to compound
  • Sensitive domain — privacy and data security are non-negotiable
  • Mobile-first with App Store approval as a hard gate
  • AI-assisted development had to reduce, not add, review burden
04 / My Role

My Role

Founder and product lead. I own strategy, UX, roadmap, and the majority of implementation, plus release management and App Store operations.

05 / Leadership Decisions

Leadership Decisions

Chose Ionic Capacitor over native

Trade native fidelity for velocity and a single codebase — the right bet at founder scale.

Standardized on Supabase

Row-level security, auth, and storage in one platform kept the security surface small and auditable.

AI-assisted, human-owned

AI accelerates scaffolding and tests. Every merge is still reviewed by a human — me.

06 / Solution

Solution

A polished, offline-capable mobile app for logging and managing firearms, maintenance, ammunition, range and hunting activity, and secure documents, with subscription services for premium capabilities.

07 / Architecture

Architecture

  • Ionic Capacitor mobile shell over a React + TypeScript codebase
  • Supabase for auth, Postgres with RLS, and encrypted storage
  • GitHub Actions for build and App Store distribution
08 / Business Outcomes

Business Outcomes

  • Shipped to the App Store as a solo founder
  • Established a repeatable AI-assisted release cadence
  • Built a product foundation that supports future subscription revenue
09 / Lessons Learned

Lessons Learned

  • AI compounds when the human keeps ownership of the judgment calls
  • Privacy-sensitive products earn trust through what you refuse to collect, not just what you protect
  • Founder velocity is a tooling problem before it's a talent problem
10 / What's Next

What's Next

  • Expand subscription tier features
  • Deepen offline-first data model
  • Community and content features for responsible owners
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