Wiretap
Behaviour-based lead generation for B2B sales teams. Daily email, one-time setup.
The problem
Account executives and BDRs need warm leads to achieve their quotas. But warm leads are hard to find. Identifying purchase intent requires knowledge of the lead’s behaviour. You’re either selling or monitoring leads. You can’t do both.
What I built
Micro-SaaS for AEs and BDRs selling software.
An account executive names their competitors and describes their ideal customer profile in plain language. The system runs unattended and sends a daily email with a CSV of new warm leads, ready to import into a CRM. The only ongoing effort left to the AE is the outreach itself.
How it works
Wiretap monitors multiple activity signals to identify consideration behaviour. The system validates each signal against the ICP the user described. LLM scoring is used for the validation which, in turn, is used against the ICP with the accept/reject decision recomputed in code rather than taken from the model, and scheduled aggregation into the daily send.
What I’d do differently
I’d build directly with Claude as a Python developer instead of spending some time trying to build using Lovable and n8n. Using Lovable and n8n I am more limited by the platforms’ own limitations, whereas if I used Claude to build Python scripts and identify the different platforms and tools (Railway, Supabase, Vercel, Resend) I’d have more flexibility to build something more fitting with my vision.