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Waply – AI Assistant for Reminders and Calendar in WhatsApp

Hacker News

Waply – AI Assistant for Reminders and Calendar in WhatsApp

Fellow Hackers, wanted to share Waply, we are just climbing out of Beta, and would love for a broader audience to try us out. With Waply, it takes 5 secs to manage your schedule in WhatsApp using text or voice notes What you could write. -Eg: “Dinner tuesday at 8pm” -Eg: “Remind me every tuesday to call parents” -Eg: “Review meeting, tomorrow 3pm, invite john@gmail.com" No App downloads involved, start at https://waply.co/ . Optionally, can connect to your calendar. We built this for busy hackers/professionals who live on WhatsApp, and want to get organized faster.

Visit product View on Hacker NewsJan 27, 2025

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: using, notes · Missing: mac, agents, macos

70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

60%60% 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

41%41% 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

24%24% predicted probability of success on AppSumo, 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

22%22% 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

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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