ArrayCat
Indie HackersConvert list of data to array
I needed this, there wasn't any that could do all that I needed, so I made one.
Share cardActual performance
1followers
Did not reach leaderboard
Launch Intel predictions
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TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal57%57% predicted probability of success on TrustMRR, 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 · Missing: https docs, excited, just released51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto34%34% predicted probability of success on BetaList, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos32%32% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting27%27% predicted probability of success on Indie Hackers, 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: arr · Missing: mrr, revenue, profit18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
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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