A deep dive into the automated prospecting pipeline that finds, qualifies, and contacts high-value leads — without manual work.
Most founders spend 10–20 hours a week manually finding leads, writing emails, and following up — only to see response rates under 2%. The "spray and pray" approach kills momentum and drains resources that should go into product and revenue.
RSS feeds, web scraping, and LinkedIn signals are combined to identify high-intent prospects in real time. The system runs 24/7 without human intervention.
Each lead is scored by an AI model against custom criteria: company size, tech stack, growth signals, and intent patterns. Only qualified leads enter the outreach funnel.
The LLM generates a unique opening line for each contact, referencing recent news, their product, or a shared pain point. No templates. No "Hi [First Name]" disasters.
Multi-touch drip sequences automatically adjust tone based on open and reply signals, ensuring the right message lands at the right time.
Built end-to-end using Python, OpenRouter LLMs, and custom scraping pipelines. The cost? Under $50 in API fees for the entire run. Response rates jumped from an industry-average 2% to over 16% through personalization alone.
I'll audit your current outreach, identify the bottlenecks, and build you a custom AI pipeline.
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