Grabdex
Indie HackersHandcurated collection of top online tools and resources.
I enjoy researching and curating the top online tools that are helpful and innovative and I'd like to share my explorations with everyone as a handy archive through https://grabdex.com.
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
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AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting39%39% predicted probability of success on Indie Hackers, 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, personal35%35% 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 released32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto14%14% 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, revenue10%10% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos8%8% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Correct prediction on native model
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A collection of resources about supercompilation43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
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Emoji Tools5%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
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