PureScan

Execute Stack

Technical blueprints and execution plans to accelerate development.

Building Plan — Step-by-Step Execution

A loud, zero-BS roadmap that slices through competitors and hijacks every gap they were too slow to claim.

Step 1

Prototype the Scanner Core (No-Code / AI Assisted)

$0–30/month

Build the instant barcode/photo scan → analysis flow using Open Food Facts API. Mock results with color-coded warnings (green/yellow/red) for sugars, salt, caffeine, allergens. Add basic personal profile toggle.

Tools:

Lovable.dev, Bolt.new, FlutterFlow (mobile-first), v0.dev

APIs:

Open Food Facts (free barcode lookup + ingredients/nutrients/allergens), ZXing or MLKit for barcode scanning

Step 2

Add User Onboarding & Personalization Logic

$10–50/month

Create auth, user profiles (select allergies, diets, goals like low-sugar/low-salt). Store scan history and customize warnings based on profile. Fallback OCR for packaging photos.

Tools:

Supabase or Firebase (auth, DB, storage for history)

APIs:

Supabase (realtime updates), Google ML Kit or Tesseract OCR (via cloud functions)

Step 3

Integrate Deeper Analysis & Alternatives Engine

$20–80/month

Pull Nutri-Score, additive flags, caffeine levels. Use AI to generate healthier swap suggestions (same category, better score). Add detailed breakdown screens.

Tools:

Groq/OpenAI for smart summaries/alternatives

APIs:

Open Food Facts + Edamam/FatSecret (paid tier for richer alternatives), ElevenLabs (optional voice readout)

Step 4

Build Freemium & Premium Features Layer

$25–60/month

Free: Limited daily scans + ads. Premium: Unlimited, ad-free, offline database cache, full history export, custom alerts, family sharing.

Tools:

RevenueCat (iOS/Android subscriptions) or Stripe Billing (web)

APIs:

Stripe Checkout, Lemon Squeezy for easy indie setup

Step 5

Notification & Retention Layer

$10–50/month

Shopping list reminders, weekly scan summaries, "danger product" alerts from history. Push notifications for new alternatives or recalls.

Tools:

OneSignal (push notifications), Resend for email

APIs:

Firebase Cloud Messaging, Supabase Edge Functions for triggers

Step 6

Public MVP Launch Stack

$10–50/month

Launch with core scan + profile + results. Build viral landing with live demo scanner (web version). Focus on EU/US markets first (best data coverage).

Tools:

Framer or Typedream for landing, Figma AI for icons/UI polish

APIs:

Vercel/Netlify hosting, Plausible analytics (privacy-friendly)

Step 7

Scaling & Community Workflow

$30–120/month

Add user-submitted product corrections (crowdsource gaps). Build admin moderation dashboard. Expand to more APIs/regions.

Tools:

Airtable/Notion for moderation queue, Metabase for usage insights

APIs:

Open Food Facts contribution endpoint, USDA API for US expansion

Hackable Score — 9.7

Can be built by a solo indie hacker using 2025 AI/mobile tools in 10–21 days
Pure digital mobile app — zero inventory, logistics, or hardware
Open Food Facts + free scanner libs cover 80–90% of core functionality out of the box
Freemium model + health motivation drives instant acquisition and 15–25% conversion
Ultra-low ops: API pulls handle data, AI scales insights

Highest leverage from viral grocery-store scans — once users start sharing "hidden sugar shock" moments, growth explodes