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Custom Audio Art – Capture Your Priceless Moment in Sound

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Custom Audio Art – Capture Your Priceless Moment in Sound

THAT SOUND THAT DAY is started with a mission in mind to capture and playback people’s memories in the unique visual art form. “Sound is one of the important elements of people’s memory that can capture the moment of the lifetime.” Jom Naknakorn, the artist and founder, says. That Sound That Sound helps capturing your priceless moment in sound, whether it is a birthday, wedding, anniversary, a song from their first dance, the first voice of your sister’s baby, the celebration of accomplishments or life-changing events. With our sound/art engine you can turn any sound into art. It is so easy to design your own 18”x24” wall art through our sound art generator. We print, you frame and hang it up on the wall or gift it to your loved one. You don’t need to be a professional artist to make your own original sound art, all you need is your story and sound. Yes, your very own art with your story. check us out at https://thatsoundthatday.com/

Visit productView on Hacker NewsMar 13, 2018
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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
88%88% 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.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
52%52% 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
46%46% 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
42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: visual · Missing: mac, agents, macos
33%33% predicted probability of success on Product Hunt, 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 · Strong signals: audio · 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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