Sm
Smugg.com (Rottentomatoes.com for Tech Gadgets)
Hacker NewsSmugg.com (Rottentomatoes.com for Tech Gadgets)
Smugg.com. Critic review aggregator for consumer electronics. I admit the progress of this project has been very slow, mostly due to me learning how to code properly this time while also developing this site. However in this time, gdgt.com shifted their focus to same area of critic reviews aggregation. They have done an excellent job with the team and money they have and I now wonder if it leaves any space for me to keep going. So please do let me know what you think.
Share cardActual performance
5points
2comments
Did not reach leaderboard
Launch Intel predictions
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Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting49%49% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: reviews · Missing: plus, platform, intuitive35%35% 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, personal33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: code · Missing: mac, agents, macos24%24% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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Ton institut mérite mieux qu'un DM
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