DialASmile - tell people why you love them, even when you're not around

Hacker News

Hey guys, I've been working on this cool little side project and was wondering everyone's thoughts on it. Check it out at www.dialasmile.me I came up with the idea while trying to create a romantic gift for my girlfriend. Her last boyfriend had made a webpage with all the reasons he loved her on it, and so of course I wanted to one up him! So I decided I'd set up a phone number that she could call whenever I'm not around and she's lonely, that would speak all the reasons I love her out loud. I ended up making one for my mom too for Mother's Day, and she loved it, so I thought, "Hey maybe I'll turn this into a web app so everyone can do it!" One month later and its out! It's called DialASmile, and it allows you to create cute "dialers" for friends, family, and significant others. When they call the DialASmile phone number, they can hear all the reasons you love them, think they're awesome, etc, spoken out loud to them. Makes a cool little anniversary, holiday (or maybe even father's day!) gift. It's free to use to start, and if you use the promo code 'makedadsmile' between now and father's day you can get upgraded to an even better dialer for free. Please check it out. I'd love to hear any improvements or pain points anyone has :)

Visit product View on Hacker NewsJun 15, 2012

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Product HuntOn track for Day 1 leaderboard · Strong signals: code · 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

70%70% 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

62%62% 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 · Strong signals: month · Missing: mobile apps, ios, personal

36%36% 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

32%32% 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

19%19% 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.

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