I built the feedback tool I wanted as a user, and needed as a founder
I believe collecting user feedback is one of the most important things you can do while building a product. I used to run a B2C app with 100k monthly users a couple years ago, and got so frustrated with existing solutions which were either too complicated or too expensive, that I ended up using a single Google Form. I don't need to tell you how tedious the process of going through all the answers was.
Fast forward to today, I sold that app, and for the last 5 months I've been working on Modu.io , a feedback collection tool that allows businesses and communities to create multiple kinds of feedback modules (suggestions with voting, roadmaps, changelogs, polls, ratings, open questions) and either organize them in a public board, link to them directly, or use them as in-app embeds/popups.
Other than stressing a lot about how the modules look, I've been also working on the behind the scenes to make it easy to analyze the collected feedback. Other than integrating with all major tools (jira, clickup, slack, trello, google sheets, linear), Modu also automatically clusters text feedback, grouping all similar answers to a form, detects duplicates on public suggestions boards, and notifies you when important targets are met (e.g a suggestions reaches 10 upvotes, a rating poll average score changes, etc.).
The tool is highly customizable, both in looks (colors, logo, favicon, style) and in how you organize your boards, so I'm really excited to see how people might use it :)
Congrats on the launch Orazio — the Google Form origin story is relatable, I think most of us have been there.
The clustering and duplicate detection angle is interesting — that's the part most tools skip entirely and it's genuinely painful at scale. Curious how you're handling the edge case where two suggestions are semantically similar but actually represent different user needs? That's the tricky part with clustering feedback vs. deduplicating it.
The module flexibility (polls, ratings, open questions alongside voting) is a differentiated angle too — most tools in this space lock you into one interaction model. Would love to know how you're seeing people actually combine them in practice once you have more data.
Good luck with the launch.
This is a great space — especially the clustering + duplicate detection, that’s where most of the real pain is.
Curious how you’re validating if teams actually act on the insights vs just collecting more feedback?
Also, if you want to test real willingness beyond interest, there’s an interesting setup where you can put your idea into a live competition ($19 entry, winner gets a Tokyo trip, prize pool grows with entries). Could be a quick way to gauge actual commitment.
Hey,
How's traction looking post-launch? Reason I'm asking is we might be able to help with that.
We run a marketplace for SaaS users to discover and try new tools. We bring the users. You focus on the product.
Here's exactly how it works:
We list Modu on our marketplace and handle all billing. For the first 3 months, we offer users an aggressive intro price ($1/month for Start, $5/month for Growth) — fully subsidized by us, so you don't lose anything during that window. These numbers are a starting point and we're open to working them out together. From month 4 onwards, users pay your full price ($24/month for Start, $59/month for Growth) through us, and we remit 90% of every payment directly to you. We keep 10% as our cut.
For you: zero acquisition cost, zero billing overhead, and a recurring revenue stream from users you didn't have to find. For us: we own the customer relationship and take 10% for as long as they stay.
We don't onboard tools without agreeing on terms first — it keeps the program credible for everyone on the platform.
Would love to share more details. Do you have an email or somewhere easier to chat?
Really clean and modern experience on Modu , I especially like how the interface feels focused and uncluttered right from first glance. That simplicity makes it easy for users to understand what’s going on without overwhelm.
I’m curious how you’re thinking about guiding first-time visitors to take action especially around onboarding or how you help them quickly understand value. A strong path early in the user journey can make a big difference in engagement.
Right now the site feels clean, but a slightly sharper first-screen message that clearly explains the user outcome might help reduce drop-off
Thanks! I've recently changed the landing page's hero, but still thinking of more tweaks to improve time to value.
That’s a great focus, improving time to value is usually where the biggest gains come from.
If speed is your core positioning, I’d look at whether the hero and first scroll immediately show proof of speed, not just promise it. For example, even a simple visual like a 3-step timeline (Clone → Configure → Deploy) right below the hero could reinforce the “this is fast” message before users even read deeper.
Another thing worth testing is reducing decision friction above the fold. If the primary action is clear and there aren’t competing CTAs, users move faster mentally.
You might also experiment with showing what the user sees right after setup a screenshot or short preview of the working dashboard. Seeing the end state can psychologically accelerate commitment.
Time to value isn’t just technical speed it’s how quickly someone believes they’ll reach value. Tightening that perception can have a real impact.
Curious are you measuring drop-off at any specific section right now, or still in early signal-gathering mode?
The problem with most feedback tools is they're just collection systems — they help you gather feedback into one place, but you still have to manually read and categorize everything. At 50 feedback items a week that's fine. At 200+ it becomes a full-time job. The real need isn't collecting feedback, it's understanding it at scale.
This comment was deleted 3 months ago.