Fi
Figure out what you failed in your year
Hacker NewsFigure out what you failed in your year
AMAZING NOW, It's time to look back your year. To see what you achieve, what you failed and how much fun moments in life. You will better for sure! Check out the app FailED - You Are Not A Loser here http://itunes.apple.com/us/app/failed-manage-your-failure/id894438205 and let it help you! Happy failing and keep moving forward, next year will be great for all of you!
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting70%70% 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: apple · Missing: mac, agents, macos54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive20%20% 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, revenue18%18% 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, crypto3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Fa
FailED – Manage Your Failure is now on AppStore52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
FailED – Manage Your Failure is now on AppStore
Hacker News1Re
Retry failed Rails' AcitveJobs automatically with activejob-retriable49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Retry failed Rails' AcitveJobs automatically with activejob-retriable
Hacker News3Ye
Year 277364%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Year 2773
Hacker News12Ye
Year in Pixels68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Year in Pixels
Hacker News3Th
The Five Year Itch63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The Five Year Itch
Hacker News86A
A year of Foursquare Checkins -- Show me yours64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A year of Foursquare Checkins -- Show me yours
Hacker News2Re
Resumonk – a year after it was launched here52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Resumonk – a year after it was launched here
Hacker News69Th
Thank you for a wonderful year50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Thank you for a wonderful year
Hacker News4My
My Year Printed53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My Year Printed
Hacker News220
2015 – The Year of the Dwarf Planets66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
2015 – The Year of the Dwarf Planets
Hacker News4