If

If you smoke, this app helps you quit (no shame)

Hacker News

If you smoke, this app helps you quit (no shame)

I have never smoked myself, but I know a lot of people that smoke and want to stop. This is for them. While researching the topic on various peer reviewed papers I was impressed how many parts of the body heal when a person quits smoking. It’s impressive that the body starts healing in the first 20minutes! This is why the app features a ‘heart avatar’ that heals with time reflecting the person’s journey. Something which i think is very important if i had to use an app like this is privacy. This is why I kept all the data in a local database inside the app and never share or track any data. there is also no account, so its 100% private. If you smoke and wish to quit feel free to try it and I really appreciate any feedback! Thanks

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Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
63%63% 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 HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
52%52% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
51%51% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
20%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, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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