Quazilla – ChatGPT Godzilla Coach on Whatsapp

Hacker News

I wanted a personal coach but was too cheap to get one—so I built a Whatsapp bot hooked up to ChatGPT to see if it could motivate me. And surprisingly it did! The main benefit for me was just having positive affirmation and emotional support from the bot. I then added daily reminders that checks in with me on how I’m doing on my daily goals and habits. The fun responses has kept me checking in everyday for the last few weeks. Check it out and let me know what you think. Please only use/try it if you need it-- otherwise I cannot keep it free :)

Visit product View on Hacker NewsMar 23, 2023

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Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

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

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best fitHighest predicted score across all platforms for this description.

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

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

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

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

31%31% 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 · Missing: https docs, excited, just released

25%25% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

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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