@RSolticzki · X

Working on an app that instantly gives you a feed full of leads, matched with your website, on Reddit.

@signalmelo01 · X

SignalMelo: social listening & monitoring for growth teams

@GeorgiG26929167 · X

Remarkd lets you create a feedback page for anything—ideas, landing pages, designs, pricing, features or prototypes. Share one link anywhere and collect structured, anonymous feedback in one place, with AI-powered insights to help you spot patterns faster

@kitbasedev · X

We just launched, check us out at

@hello_code_ · X

helps SaaS founders catch customers mid complaint on Reddit before they settle for a competitor

@matthew_meadows · X

Correlation Studio - Discovery Mining • Causation Analysis A powerful new SaaS statistics application that brings the insights of correlation data science to everyone. Data science without the code.

@resetnak · X

- Github Repository statistics for opensource projects! Give it a try

@laminemansour_ · X

Building Voxgrow SaaS that monitors Reddit & X to find people already asking for your solution, then drafts contextual replies for you to validate. No cold outreach to random people. Just warm leads on autopilot.

@kngkng182542 · X

If you're paying for Canny, give FeedLog a look. Same workflow for collecting feedback and managing feature requests, but free during launch.

othmanosx · HN

I still don't like the fact that AI is adding more stuff for us to read, it's accelerating the code production but slowing down the code review. I built my own code reviewer as well ( https://pyor.review/ ), surfacing the important stuff first is the right track, but adding more stuff to read is daunting, but asking AI to just point you to what you need to focus on and skim the noise is what I'm leaning more towards.

@bashops_dev · X

Building BashOps Radar—repository intelligence for developers. Helping developers identify contribution opportunities that can lead to contracts, paid sprints, and long-term work.

@Jack_Timonen · X