Fa
FavoritesAPI – Never build another favorites list
Hacker NewsFavoritesAPI – Never build another favorites list
Share cardActual performance
2points
2comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto69%69% predicted probability of success on BetaList, 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 · Missing: mac, agents, macos62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · 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.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting32%32% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
mere
Editorial to-do list for walks
BetaListWe
Weightley, a weighted to-do list53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Weightley, a weighted to-do list
Hacker News8Th
The List53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The List
Hacker News39No
NoList, a To-Do List that is not a list.53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
NoList, a To-Do List that is not a list.
Hacker News6Dr
Drillbit. Who's on your mailing list?53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Drillbit. Who's on your mailing list?
Hacker News4Li
List of PhDs that produced the most PhDs53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
List of PhDs that produced the most PhDs
Hacker News6Li
List of PhDs that produced the most PhDs53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
List of PhDs that produced the most PhDs
Hacker News1Li
List of Svbtle Writers63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
List of Svbtle Writers
Hacker News2Li
List of Episodes30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
List of Episodes
Hacker News1Sn
Snapwee Angies List for Individuals!50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Snapwee Angies List for Individuals!
Hacker News1