An open-sourced pipeline that scrapes fresh 1-2 star Trustpilot reviews (and Reddit…
RevenueCredibleCredibility 70/100
An open-sourced pipeline that scrapes fresh 1-2 star Trustpilot reviews (and Reddit posts), uses an AI to draft personalized cold email variants quoting the complaint, and stages/sends them via Gmail.
Problem it solves. Makes cold outbound more relevant by targeting companies with fresh public complaints that indicate immediate need.
Who pays. SMB founders/owners and small service providers doing outbound to companies with fresh complaints
Market. sales/outbound automation
Claimed. 100 emails sent over 3 weeks; 15 replies; 2 deals closed
Why we believe it · 25 comments read
Poster reported concrete experiment metrics (100 emails, 15 replies, 2 deals) and answered follow-up questions in comments; multiple commenters validated the approach rather than calling it fake or promotional.
“100 emails is a small sample, and people who leave fresh 1-star reviews are self-selected switchers. The real question is whether the 15% holds at 1,000 sends” ▲ 60
“The number I'd watch is the 2 out of 15, because the opener does something to the reply rate that won't carry into the close.” ▲ 55
“Anyone can get someone to respond when you quote their own complaint back at them. Closing is the part that tells you the pain was real and worth paying to fix.” ▲ 50
“The part I'd want to see before calling it a playbook... sample size small... whether the 15% holds at 1,000 sends, or if reply quality decays” ▲ 45
“The AI drafting step... Did you ever catch it misquoting or paraphrasing a review in a way that didn't actually match what was said?” ▲ 40