Fdback.io
Indie HackersUser feedback & feature requests for indie SaaS teams
I built Fdback after managing feature requests through emails, chats, and spreadsheets. Surveys and shared docs didn’t scale, and feedback kept getting lost.
Share cardActual performance
1followers
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: user, email · Missing: mac, agents, macos84%84% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting35%35% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Productific30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
User feedback: feature requests and roadmap voting.
Indie Hackers2b2bHe
Hellonext – User feedback, feature voting, & roadmap for PMs39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hellonext – User feedback, feature voting, & roadmap for PMs
Hacker News2Bl
Blatta – User Feedback in Seconds38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Blatta – User Feedback in Seconds
Hacker News8Th
The #1 Reason Your Product Fails – Ignoring User Feedback38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The #1 Reason Your Product Fails – Ignoring User Feedback
Hacker News2FeedbackPoster65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
User feedback software
Indie Hackers1analyticsAu
Automate User Feedback36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Automate User Feedback
Hacker News1ProductScope48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Better user feedback and feature request tracking
Indie Hackerscommitment-side-projectAppFeedback.io60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Easily gather and analyse your user feedback
Indie Hackers1b2bUs
UserInsights – Get 5 minutes of real user feedback39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
UserInsights – Get 5 minutes of real user feedback
Hacker News31A
A way to respect all your user feedback and your time44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A way to respect all your user feedback and your time
Hacker News3