Texmote helps people quit bad habits with fun motivational messages

Hacker News

www.texmote.com This is a fun experiment that Karunjay and I have started for people who have trouble quitting bad habits (including us :P). Quite often, the only thing we need is a little bit of motivation & frequent pep talks. So this is exactly what we've done, allowing people to enroll themselves & receive motovational emails/smses to quit their bad habits & also allowing people to enroll their loved ones to quit their bad habits. Right now, we only plan crowd source all motivation messages, but soon we might have some experts on board. What do you guys think? Also, please do share & comment! Cheers! (P.S. This service is currently available only in India)

Visit product View on Hacker NewsApr 16, 2012

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Indie HackersFits the IH revenue-focused audience · Strong signals: started, including · Missing: supports, reddit linkedin, podcasting

77%77% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

35%35% predicted probability of success on Hacker News, 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, personal

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

AppSumoMay struggle as an AppSumo deal · Strong signals: soon · 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

22%22% 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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