ReplyGain

ReplyGain

Find users already looking for your product.

AI & Machine Learning·Marketing

About

ReplyGain is an AI SaaS platform designed for founders and marketers to identify warm leads in real-time by monitoring discussions on Reddit, Hacker News, X, and Bluesky. It solves the problem of manually searching for potential customers by automatically surfacing high-intent posts and generating AI-powered reply suggestions. Its key differentiators include AI intent scoring, automated keyword generation from a website URL, and multi-platform monitoring with suggested replies. Built for founders tired of burning money on Meta ads that don't convert, ReplyGain finds people already asking for exactly what you built, so your first reply becomes your cheapest customer acquisition channel.

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LaunchedMay 25, 2026

Publisher

Joined Apr 20261 launch

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FounderPlaybooks.

What other founders did to grow.

2722 dispatches from hundreds of founders, pulled from the week's best podcasts.

Product
The best way to get their attention the editorial team is to build an incredible app have a very high user rating... that is what we look for in featuring because we know that typically is what will actually work really well.

High App Ratings Are a Hard Prerequisite for Google Play Editorial Featuring

Google's editorial team starts with app quality signals — most importantly, user rating — before considering any app for featuring. Low ratings are a signal of product problems, not just a ranking issue. Reaching out for featuring while sitting at sub-4-star ratings wastes everyone's time; the product work must come first.

Pricing
the van Westendorp pricing analysis where one of the questions we asked and we had 500 responses to this and we asked all those segments at what price point is Ladder so expensive that you never buy it at what price point is Ladder expensive but you still consider purchasing it at what point is Ladder a good deal and at what price point is it so cheap that you question the quality of the product and out of that there's a formula that spits out an optimal price point range

Van Westendorp on 500 users surfaces the clearing price better than guessing

Facing a pricing reset after the Facebook burn, Greg ran Van Westendorp surveys across multiple cohorts — coach referrals, Facebook leads, users with different training goals. Slicing by cohort revealed the clearing price was $29/month regardless of origin. The exercise replaced opinion with data and gave the team conviction to launch a completely redesigned offering with confidence rather than guesswork.

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