This morning I finished wiring Google Ads conversion tracking trial_start firing server-side, bidding optimized for trials, the whole thing.

Then a new user signed up. And I couldn't tell you where they came from.

Not because GA4 didn't know. It did. But because our users table has no UTM columns.

Built an AI workspace that actually works the way your brain does fast, focused, and without the fluff.

Genius Suite has three tools:

GeniusPulse AI job hunting copilot

GeniusOptim LinkedIn profile optimizer

Hey Product Hunt community!

I've been building in public for a while, and one thing I've noticed is how hard it is to build immediate trust when you're a solopreneur. We share revenue screenshots on X/Twitter, but let's be honest those can be inspected and edited in seconds.

That's why I built Makers Page.

Funny enough, our most-used workflow wasn't built because someone asked for it.

It came from watching where people got stuck.

We've all done it.

"I'll just check TikTok for five minutes."

Hey Product Hunt

Doxloop reads your source code or OpenAPI spec and writes a complete docs site with the coding agent you already use (Claude Code, Codex or Gemini). When your code changes, it drafts the update for you.

2-min video: https://youtu.be/TUFVPausM7I

EchoLearn turns recordings into written summaries, meeting minutes, or subtitles. For this discussion, I'd like to focus on lecture summaries rather than promise that one tool solves every recording problem.

The lecture report includes an abstract, key points, and explanations of terms, with a PDF export. The product has Hebrew and English interfaces.

I m an indie developer, and every time I shipped a new app, update, or milestone, I ended up spending extra time making something decent to share on social media.

So, I built MadeToPost a macOS app that helps turn app launches, updates, ratings, reviews, and milestones into static or animated creatives.

I've been looking at a lot of waitlist pages lately - some are just an email box and a headline, others go all-in with counters, referral mechanics, social proof, the works.

Curious what this community thinks: does a more "designed" waitlist page actually convert better, or does a dead-simple one do just as well? Anyone here A/B tested this or has a strong opinion either way?

Side note on why I'm asking - I ended up building Waitlist Gallery, a place to browse real, live waitlist pages since I couldn't find good reference examples while designing my own. Still early, trying to grow the collection past 100 pages.

If you've got one live (or a favorite you've seen elsewhere), would genuinely love to hear about it in the comments - always interested in seeing what's working for other builders.

I ll go first.

I m building DataCleanist, an AI data quality platform for people working with datasets for ML. The idea came from realizing how often the same annoying stuff gets repeated whenever a new dataset shows up checking missing values, finding duplicates, dealing with outliers, figuring out column types, encoding data, balancing classes, etc.