Launch feedback loop tracker

Help indie developers turn scattered post-launch feedback into a clear next-action list

Problem

A user got 4,300 downloads in three months but only 100 stars, despite writing on Medium, dev.to, Hashnode and a LinkedIn newsletter, and still doesn't know what's wrong; another founder spent six months meeting 20+ investors and revising the deck repeatedly, yet the product gained no users and no revenue, living the illusion of being busy without progress.

Solution

A feedback tracker for indie developers: aggregate feedback from Reddit, HN, Twitter, email, and app-store reviews into one inbox; use an LLM to cluster items into feature requests, bugs, positioning confusion, and pricing objections; produce a weekly one-thing-to-do-next list; and track post-launch metrics so users can tell real growth from mere busyness.

Users

Indie developers and small teams just after launch, doing cold-start growth.

MVP

Manual paste or lightweight import from each channel; LLM auto-categorization and clustering; a weekly prioritized action list; timeline of stars, downloads, and revenue; local or minimal backend deploy.

Revenue

Free tier plus monthly subscription for more channels and historical analysis; or one-time purchase per launch project.

Why now

AI has multiplied the number of indie developers and launch frequency, but most are stuck with data and no insight, while generic analytics tools don't understand early-product context.