LeadHawk
LeadHawk is the in-house engine behind our own outbound. It hunts businesses in target metros that have no website or a slow one, scores each for fit, and writes the opening pitch — turning prospecting from a manual chore into a queue you work through each morning.
The challenge
Lead generation tools are either expensive, generic, or both, and AI-written outreach usually reads like AI-written outreach. The hard part is deciding which businesses are genuinely worth approaching, and saying something specific enough that a reply is plausible.
What we built
Deterministic collectors do the finding: Google Places for discovery and PageSpeed for an objective read on site quality. Claude does only the judgement — a fit score, an estimated budget, and a specific pitch grounded in what is actually wrong with that business's web presence. Metro and niche cells rotate daily and results dedupe by place ID, so the same business is never paid for twice.
Highlights
- Objective site-quality scoring via PageSpeed, not guesswork
- AI qualification producing fit score, budget estimate, and a tailored pitch
- Daily rotation across metro and niche cells with place-ID deduplication
- Field-masked API calls and prompt caching to keep running cost predictable
- Local dashboard to triage, work, and track every lead to outcome
Want something like this for your business?
Speak directly with the founder about your workflow, bottleneck, or product idea.