Become more conscious of what you buy

Hacker News

Hi guys, A few years ago, I went on an exchange semester to the Netherlands with a small suitcase, so I had the bare minimum of material possessions. During the semester, I realized how happy I was even though I didn't have all the objects I had left at home. Since then, I've discovered that acquiring material possessions was one of the ways I used to cope with certain emotions, and apparently I'm not the only one. I created ThinkTwice to guide people in a mindful reflection on their intended purchases, ultimately dissuading them from wasting money on material possessions that won't make them happy. It's totally free, you can try it without an account, and if you decide to register, you don't even need an email address. It's just a MVP, but I would like to know your opinions about the idea :) https://thinktwice.app/ Thanks, Stefano

Visit product View on Hacker NewsSep 13, 2023

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best fitHighest predicted score across all platforms for this description.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

44%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.

Product HuntUnlikely to reach the leaderboard · Strong signals: email · Missing: mac, agents, macos

37%37% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

15%15% 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, crypto

0%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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