Cold email was taking me 20 min each, so I built coldpitch.ai
Replaces 20-min emails with AI, but Instantly and Clay already nail contact+copy automation.

Yet another lead gen tool, but the DOM audit scoring is actually clever.
Freelance web developers seeking clients
Apollo · Hunter · Snov.io
What it does: - Takes a city + business type (e.g. "Las Vegas plumbers") - Searches for local businesses via DDG - Visits each site and runs a DOM audit: mobile viewport, SSL, page speed, meta tags, outdated copyright, missing favicons - Scores each site 0-100, filters to only the bad ones (score >= 40 = real fixable problems) - Tries to extract a contact email from the site - Generates a personalized cold email referencing the specific issues found - Outputs a CSV with business name, URL, score, issues, email, and draft pitch
Stack: Python 3.9, requests, BeautifulSoup, no external APIs needed.
I tested it on Las Vegas nail salons and cleaning companies. First run: 22 emails sent, 6 replies. It finds real problems because it actually visits the site rather than using a database.
Would love feedback on the DOM audit heuristics - currently scoring on ~13 signals. Is website quality actually a good proxy for "willing to pay for a redesign"?
Replaces 20-min emails with AI, but Instantly and Clay already nail contact+copy automation.
Personalizes cold emails per role, but Remove.bg syndrome: find-and-email exists.
Google Places + email scraper: solves a real pain, but Hunter.io and RocketReach already dominate.
Fresh Google Maps scraping beats stale Apollo/Hunter dumps, but lead gen is saturated.
Claude sidebar + 5 Python scripts for $9, no subscription, CORS shadow DOM done right.
Scheduled AI agents with per-run cost tracking beat generic chat wrappers.