Upvoicy – Simple feedback management tool for teams and creators

Hacker News

Hi HN, I built Upvoicy to help teams, freelancers, and small businesses collect and manage user feedback in a simple way. While working on my own projects, I felt that most feedback tools were either too complex, too expensive, or packed with features I did not really need. So I decided to build something lightweight and straightforward. With Upvoicy, you can: Create a public feedback board Let users submit ideas and vote Manage suggestions in one place Keep your roadmap clear and organized The goal is to make feedback collection simple and practical without unnecessary complexity. I would really appreciate your honest feedback, suggestions, or criticism. I am actively improving it and would love to hear what you think.

Visit product View on Hacker NewsFeb 24, 2026

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Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

79%79% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos

54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: users, way · Missing: mobile apps, ios, personal

51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

28%28% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue

11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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