I spent days curating concert films in Spatial Audio (Dolby Atmos/5.1)

Hacker News

Hey, I spent days digging and curating concert films in Spatial Audio -- so you don't have to! I'm really into immersive audio and live music but couldn't easily find concert films to watch. I had to jump from app to app and dig deep into Amazon and Google to find cool stuff. So I hope that it makes your life better and that you'll find a concert you want to watch. Happy to send you personalized concert recommendations, feel free to comment or to send me an email with some of your favorite artists :) Thank you, Ax

Visit product View on Hacker NewsAug 12, 2024

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Actual performance

3points

2comments

Did not reach leaderboard

Launch Intel predictions

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

73%73% 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

63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: personal, google · Missing: mobile apps, ios, entrepreneurs

58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · 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

29%29% 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

13%13% 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

6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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