Crivox
16 days
1. The Founder's Problem
Social media engagement requires thoughtful comments, but staring at a blank reply box kills momentum. Generic AI tools produce robotic responses that don't match your voice or the platform's conventions. Manual commenting doesn't scale.
2. Why Traditional Solutions Failed
- ✗Generic AI (ChatGPT, Claude) produces comments that sound fake and templated
- ✗No tool understands platform-specific conventions (LinkedIn vs Reddit tone)
- ✗Manual commenting takes too long when engaging with 10+ posts daily
3. What We Built
- ✓Generate comments from pasted text, URL (as reference), or uploaded image
- ✓8 tone styles: Professional, Casual, Witty, Supportive, Bold, Educational, Insightful, Authoritative
- ✓Platform-aware output: LinkedIn, Twitter/X, Instagram, Facebook, Reddit, Blog/Website
- ✓9 languages: English, Spanish, French, German, Portuguese, Hindi, Arabic, Chinese, Japanese
- ✓Up to 5 comment variations per generation (3 on free tier)
- ✓Bulk generation for up to 5 posts at once
- ✓Comment queue with scheduling and reusable templates
- ✓Public share links for generated comment sets
4. The Process
WEEK 1
AI prompt engineering for 8 tones × 6 platforms (4 days), Database schema (2 days), Auth (1 day)
WEEK 2
Comment generation UI (3 days), Bulk generation logic (2 days), Template system (2 days)
WEEK 3
Queue + scheduling (2 days), Share links (1 day), Usage stats dashboard (2 days), Deploy (1 day)
5. Results & Metrics
comments
50K+ comments generated
tones
8 tone styles
platforms
6 platforms supported
languages
9 languages
code
React 18, TypeScript, Vite, Supabase, Groq AI
6. Tech Stack & Why
React 18 + Vite
Fast dev experience, perfect for interactive UI
Groq Llama 3.3 70B
Fast, cheap, and good enough for comment generation
Supabase
Auth, database, and edge functions in one platform
Framer Motion
Smooth animations for comment variations
7. What We Cut to Ship Fast
- Browser extension (web app covers core use case)
- Sentiment analysis (tone selection is sufficient)
- Auto-posting to platforms (legal/API complexity too high for MVP)
8. Lessons Learned
- →Tone consistency across platforms is hard. Each platform has unwritten rules.
- →Users want variations, not perfection. 5 options > 1 perfect comment.
- →Image-to-comment is underused but loved by the few who try it.
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