Clario Hub
21 days
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)
4. The Process
WEEK 1
Feature architecture (3 days), Database design (2 days), Auth + OAuth (2 days)
WEEK 2
AI integration (5 days), Usage tracking system (2 days)
WEEK 3
Sentry + PostHog setup (2 days), Stripe integration (2 days), Deploy (1 day)
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
6. Tech Stack & Why
Next.js 15
Server actions for API routes, cleaner than Express
Groq Llama
10x cheaper than GPT 4, 800 tokens/s vs 40 tokens/s
Sentry
Better error tracking than LogRocket, free tier generous
PostHog
Open source, self hostable, better than Mixpanel for startups
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)
8. Lessons Learned
- →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.
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