NEAR ME
Indie HackersNEAR ME SOFTWARE IS IDENTIFYING THE LOCATION OF EACH SHOP WI
NEAR ME SOFTWARE IS IDENTIFYING THE LOCATION OF EACH SHOP WITH MAP AND USER CAN UPLOAD INFORMATION WITH IMAGE AND ALSO EDIT INFORMATION . THIS SOFTWARE IS USE FOR ACCESSING SHOP INFORMATION WHICH IS NEAREST TO HIM CONT
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
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Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos45%45% 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released34%34% 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, intuitive20%20% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto16%16% predicted probability of success on BetaList, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting14%14% 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 · Missing: arr, mrr, revenue13%13% 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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NEAR ME SOFTWARE IS IDENTIFYING THE LOCATION OF EACH SHOP WI
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