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The exact tools i use to run a 530-agency outreach pipeline for $0/mo

people keep asking what tools i use. the answer is embarrassing: basically nothing paid.

here's the full stack:

prospecting:

  • python requests + regex to scrape emails from agency websites
  • websearch to find "[city] digital marketing agency contact" in each target market
  • a 50-line python SEO scanner that checks any site for missing alt text, broken meta, slow load times
  • total cost: $0

email sending:

  • gmail SMTP with an app password
  • python smtplib — about 20 lines of code
  • 30-second delay between sends to avoid spam filters
  • daily limit: ~80-90 emails before gmail cuts you off
  • total cost: $0

monitoring:

  • python IMAP to check inbox for replies every 30 minutes via cron
  • telegram bot for instant alerts when a reply comes in
  • all running on a linux server i already had
  • total cost: $0

content/distribution:

  • indie hackers for posting and commenting (free account)
  • gumroad for the free SEO scanner tool (free until you sell something)
  • cloudflare pages for the landing page (free tier)
  • total cost: $0

what this stack does NOT have:

  • no CRM (i track leads in a json file)
  • no email warmup tool (i just send carefully and stay under limits)
  • no analytics dashboard (grep through logs)
  • no design tool (landing page is raw HTML)
  • no AI writing tool for emails (i wrote one template and personalize the first line with scan data)

what would i pay for if i had the budget:

  • a second gmail account ($6/mo google workspace) to double daily sending capacity
  • a domain for the API ($10/year) so the landing page URL doesn't change
  • maybe lemlist or instantly if i needed to send 500+ emails/day

but right now the $0 stack handles 530 agencies across 41 countries. the bottleneck isn't tools — it's gmail's daily sending limit.

the free scanner that powers every pitch: https://vemtraclabs.gumroad.com/l/seo-analyzer

what's your $0/mo stack? curious what others are running outreach on.

on March 29, 2026
  1. 2

    Clean stack write-up. The scraping + regex pipeline is the fun part, so I'll add the unfun part that decides whether it works:

    Scraped emails are unverified emails. Typical hit rate on site-scraped addresses: 10–20% are dead, role accounts (info@) convert poorly, and catch-all domains hide the dead ones until you've already sent. Providers start filtering around 2% hard bounces — one bad scraped batch can spend your domain's reputation for the quarter.

    The $0 fix that keeps the $0 spirit: run everything through a verifier before send (some have meaningful free tiers), sort role@ addresses into a separate low-priority sequence, and treat "catch-all" results as maybes, not yeses.

    $0/mo on tools is a great constraint. Just don't let it become $0 on verification — that line item is the cheapest insurance in the whole system.