
Remarkd
Create feedback pages for ideas, products, and designs.
Hello Indie Hackers,
Over the last two years while working on multiple projects and trying to get feedback, I kept facing the same problem. I'd post similar content across multiple platforms - X, Reddit, Facebook, etc and all responses ended up scattered across different places. It was pain to keep track and analyze all of the responses, reactions and opinions.
I wanted a simpler way to ask one question, share one link everywhere, and collect all the feedback in a single place. I also wanted feedback to be structured, so people could vote on predefined options while still explaining their reasoning with comments.
So i decided to build Remarkd - a platform that makes gathering honest feedback easier, whether you're validating a startup idea, testing a landing page, comparing designs, or making product decisions. All you have to do is create a shareable link where you can write your question, add images, and include voting buttons. You then post the link anywhere you want. People reply, and you receive a summary along with structured data from all the responses. No sign-up is required for respondents.
I'm sharing it early because I'd love to hear what the HN community thinks and whether any of you have experienced a similar problem and, if so, how you deal with it. Any feedback on the idea or the app would also be greatly appreciated.
https://remarkd.app - if you want to take a look.
About
I built Remarkd after getting tired of collecting feedback across multiple places and all responses were scattered. I wanted one shareable page where people could vote, leave comments, and keep everything organized.

1 Comment
What stood out to me is that you're not really collecting feedback—you’re removing fragmentation from the feedback loop itself. Most tools focus on making it easier to ask questions or easier to visualize results, but the real pain is that insights are scattered across platforms with no shared structure. If Remarkd consistently turns distributed opinions into a single comparable dataset, it becomes less about feedback collection and more about decision consolidation.