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Case Study
21 days
Solo Built

Clario Hub

Users subscribe to 3-5 separate AI tools ($60-100/month). Tool sprawl kills productivity. Need unified platform for summarization, chat, writing, and notes.

1. The Founder's Problem

Users subscribe to 3-5 separate AI tools ($60-100/month). Tool sprawl kills productivity. Need unified platform for summarization, chat, writing, and notes.

2. Why Traditional Solutions Failed

  • Multi tool subscriptions drain budgets without clear ROI
  • Context switching between apps wastes 20+ min daily
  • No single platform handles diverse AI workflows well

3. What We Built

  • 5 AI workflows: summarization (10 modes), chat, writing (25 combinations), meeting notes, quick notes
  • Groq AI with model routing: Llama 3.1 8B (chat), Llama 3.3 70B (content)
  • PostgreSQL schema supporting 5 feature types with shared usage tracking
  • Sentry error tracking + PostHog behavioral analytics
  • Stripe tiered pricing: Free (100 requests/month), Pro (1000)

5. Results & Metrics

Users

41 signups

Revenue

$0 (test mode only)

GitHub

10 stars

Performance

<2s summaries, <500ms chat, 99.9% uptime

Code

94.8% TypeScript, 25 commits

7. What We Cut to Ship Fast

  • Team collaboration features (would double timeline)
  • Custom AI model training (overkill for MVP)
  • Mobile app (web first, mobile later)
  • Feature based folder structure saved me. Monolithic structure would've been chaos.
  • API cost monitoring before launch, not after. Set up billing alerts day 1.
  • 80% of users use 2-3 features. Don't overbuild.

What This Actually Proves

  • I ship fast: 6 MVPs in 14-21 days each. Not prototypes — actual working products with auth, payments, databases.
  • I'm honest about metrics: 10-50 users, $0 revenue (test mode), 7-10 GitHub stars. No fake numbers.
  • I know what to cut: Real-time features, team collaboration, mobile apps. Ship core value first.
  • I learn from mistakes: RLS policies are hard. Prompt engineering takes 15+ iterations. Financial calculations need edge case testing.
  • I justify tech choices: Supabase over Firebase (cheaper, better for relational data). Groq over OpenAI (10x cheaper, 800 tokens/s).
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