ReplyLens turns public prospect writing into evidence-backed cold email openers. Run a five-prospect benchmark before you pay: three angles per prospect, source evidence, and a human send/no-send review.
Analyze public posts and comments, not private data.
Show communication style with evidence.
Draft three distinct opening angles.
Run a five-prospect benchmark before payment.
SDR teams testing personalization quality.
Agencies checking outbound copy before sending.
B2B founders running focused prospect research.
6 ratings
selling something.
AI video with native sound, paid per clip. Nothing stored.
A calmer Mac menu bar, one click away.
Enterprise Software. Intelligent Automation. Global Impact.
Comments
4selling something.
I am building ReplyLens after seeing that most outbound tools can surface company signals but still produce an opener written for a job title, not a person. The free benchmark is deliberate: bring five real prospects and judge the source evidence, three angles, and human send/no-send review before paying. I want blunt feedback on whether this is useful enough to earn a place in an SDR workflow.
Progressive Difficulty ensures that the game starts comfortably but becomes increasingly demanding as your score rises.
ReplyLens looks like a really useful idea for turning feedback and conversations into actionable insights. I like the focus on making replies easier to understand and respond to. Definitely an interesting tool for anyone dealing with lots of customer or community feedback! https://doodlejump-2.io
I like the evidence-first approach instead of relying on generic AI personalization. The five-prospect benchmark also makes the value easy to test before committing. How do you decide which writing signals matter most when matching an opener to a prospect’s style?
This is a nice feature