FollowUpAI: The AI Copilot
for High-Value Networking
Transforming unstructured voice notes into perfectly formatted professional follow-up emails instantly.
“Met Sarah from Stripe at the fintech mixer. She’s leading payments infra...”
To: sarah@stripe.com
“Networking ROI is lost in the follow-up. Professionals meet valuable contacts but fail to capitalize because retaining context and drafting emails takes too much friction.”
“By capturing the ‘intent’ via voice immediately after a meeting, we can automate the 90% of the work that is purely administrative, leaving the user to do the 10% of high-touch personalization.”
Built for the full workflow
Context-to-Code Pipeline
Ingests unstructured behavioral data (voice notes, conversation context) and transforms it into structured professional emails.
The Learning Loop
Critical for PM RoleEngineered a user-feedback loop where user edits serve as training signals. The model "learns" the user's tone over time, improving retention.
Instant Integration
Seamlessly connects with external mail providers for one-click sending.
The builder’s toolkit
Supabase (PostgreSQL)
Real-time data layer
Python NLP
Language processing engine
Cursor AI
AI-assisted development
Development Methodology: Built entirely using Cursor and AI-assisted workflows to maximize velocity. Supabase (PostgreSQL) provides the real-time data layer, with Python-based NLP logic powering the language processing engine on a scalable backend.
Where we stand
Current Status
Limited Whitelist — invite-only access for early adopters and design partners.
Key Metric
Adaptive Style Matching
High-fidelity text rendering with adaptive style matching — the AI learns and mirrors each user’s unique writing voice.