Cortexreach
20 days
1. The Founder's Problem
Personalized cold emails take 15-20 min per prospect. Sales teams need automation maintaining personalization quality to enable 5x outreach volume.
2. Why Traditional Solutions Failed
- ✗Generic templates get ignored (0.5% response rate)
- ✗Manual personalization doesn't scale beyond 10-20 emails/day
- ✗AI tools produce generic output without quality scoring
3. What We Built
- ✓Dual AI: Gemini 2.5 Flash (primary) + Groq (fallback) for email generation
- ✓0-100 effectiveness scoring: personalization depth, value prop clarity, CTA strength
- ✓Rich text editor with formatting (bold, italic, lists)
- ✓Auto save using localStorage with quota handling
- ✓Export: TXT, HTML, JSON formats
4. The Process
WEEK 1
AI integration (3 days), Scoring algorithm (3 days), Parser (1 day)
WEEK 2
Rich text editor (4 days), Auto save system (2 days), UI (1 day)
WEEK 3
Export functionality (2 days), Usage limits (2 days), Deploy (1 day)
5. Results & Metrics
users
19 signups
revenue
$0 (free tool)
github
7 stars
performance
2-3min generation, 0-100 scoring, auto save working
code
93.4% TypeScript, 10 commits
6. Tech Stack & Why
Gemini 2.5 Flash
Fastest model (1500 tokens/s), $0.075/1M tokens
Groq
Fallback for rate limits, 800 tokens/s
localStorage
No backend needed for auto save, instant sync
DOMPurify
XSS sanitization for rich text, security first
7. What We Cut to Ship Fast
- —Email sequence automation (single email first)
- —A/B testing variants (would need analytics backend)
- —CRM integrations (Salesforce, HubSpot too complex for MVP)
8. Lessons Learned
- →AI quality depends on input quality. Garbage in = garbage out.
- →Effectiveness scoring builds trust. Users need transparency on methodology.
- →Rich text editing requires XSS sanitization. Security can't be an afterthought.
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