Reyansh

Feedzap helps startups collect visual feedback directly inside their product and turn it into ready-to-ship code fast. Users click anywhere, report what looks wrong, and the app captures the screenshot, exact element, URL, selector, browser data, and session context automatically. Then its AI suggests a targeted fix you can review, apply locally, or open as a PR. It cuts down messy back-and-forth, turns vague bug reports into structured reports, and helps teams move from feedback to fix much faster. It also connects with tools like Slack, Linear, Jira, and Notion, and can be added with a small snippet in under two minutes.

Scaling PMs all hit this at some point. Once you start getting real traction, feature requests just don’t stop. They keep coming.

We went from like 5 requests a month to 20+ every week. Customers messaging us, support logging tickets, random stuff in Slack, everywhere basically.

Our first thought was “ok we need a better tracking system”. But that didn’t really fix it. We still had 200+ requests sitting there with no clear way to prioritise.

So we had to be real about it. How do you say no to 190 things and yes to 10.

Here’s what we actually started doing

Every week we get 20+ feature requests. Email, Slack, support tickets, customer calls. All over the place. So we can never see if 23 people asked for the same thing or just 1 person complained. - We spent more than $15K on just features & bugs no body wanted in my previous venture

We build features based on whoever was loudest, not what customers actually wanted.

What I built: Feedzap. Four things it does:

1. All feedback goes to one inbox (pulls from email, Slack, support, spreadsheets - doesn't matter)

2. Automatically tags it with frequency (how many times did people ask for this?)

3. You see patterns. Feature A = 23 requests. Feature B = 2 requests. Build A first.

4. AI executes the fix, essentially a claude code auto improving feedbacks

That's it. No complexity.

How it works:

• Import your existing feedback (or use sample data to test)

• See frequency tagging (automatically shows how many times each feature/complaint came up)

• Organize by customer tier (enterprise vs free user)

• Roadmap becomes obvious

Result: We went from 4 hours/week of manual organization to 30 minutes.

Built MVP, tested with ~50 founders.

Common feedback:

• "Immediately saw what customers actually want"

• "Stopped our pointless roadmap arguments"

• "Saved probably $5K in bad feature decisions"

Real questions for you:

1. Do you think this solves the actual problem (visibility of feedback patterns)?

2. Am I missing something obvious that founders need?

3. Would you use something like this if it was free?

4. What would make you NOT want to use it?

Free access right now if you want to test it and tell me if I'm on the right track.