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Online Tasbih Counter.Count all your dhikrs
Hacker NewsOnline Tasbih Counter.Count all your dhikrs
The Online Tasbih Counter features a simple and user-friendly interface. Tap the 'TAP' button to increase the count by one with each press. The 'Decrease' button decreases the count by one each time it is pressed. The 'Reset' button allows you to reset the count, and it will request your confirmation before doing so. Additionally, the counter automatically saves your count on your device. When you leave and return later, it will resume counting from where you left off.
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
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Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos55%55% 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.
AppSumoStrong fit for a featured deal · Strong signals: friendly, interface · Missing: plus, platform, intuitive54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal43%43% 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 released40%40% 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, podcasting34%34% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue8%8% 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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