Fo
Fotion, user feedback tool that uses Notion databases as it's back end
Hacker NewsFotion, user feedback tool that uses Notion databases as it's back end
Share cardActual performance
3points
4comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos66%66% 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.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting57%57% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto31%31% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive23%23% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Us
User Feedback Tool – Usersnap37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
User Feedback Tool – Usersnap
Hacker News1Re
Reaching $1k MRR with user feedback tool45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Reaching $1k MRR with user feedback tool
Hacker News1ExactFeedback49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
User Feedback Tool
Indie Hackers6$48/mob2bFotion55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
User feedback tool that stores all your feedback in Notion
Indie Hackerscommitment-side-projectWiredash52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
In-app user feedback tool for Flutter apps 💬
Indie Hackers6b2bSp
Sprint feedback tool we use at the end of our sprints (Meteor)60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Sprint feedback tool we use at the end of our sprints (Meteor)
Hacker News1
Logaflow59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Perfect tool for collecting user feedback and debugging
Product Hunt+154Customer SuccessVocflow.com68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The simplest user feedback tool you'll ever use
Indie Hackers1aiBl
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 News2