WakeMyself. Get a wakeup call from your yesterday's self.

Hacker News

Hi guys, I built a site to solve a couple of my problems regarding sleep, and thought you guys might like it too. It's called WakeMyself, and here's the URL: http://www.wakemyself.com Have you ever overslept despite the alarm and wished "Damn, I wish I could go back in time and tell my stupid sleeping self to snap out of it." That's the basic idea behind WakeMyself. It lets you receive a wakeup call from your yesterday's self. Just leave a message, set an alarm, and you get a call from yesterday's self. Another problem I had: I really wanted to remember my dreams but always forget to remember. So I added a recording feature to WakeMyself. You just say something after the beep and it will record your voice, and the recording is available on the website when you come back. This way you can capture all your dreams while you still have them in your memory. Hope you guys like it. I would love lots of feedback. Thanks!

Visit product View on Hacker NewsJun 14, 2012

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

68%68% 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

67%67% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide · Missing: https docs, excited, just released

55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

35%35% 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

16%16% 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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