Tape It – iOS recording app for musicians

Hacker News

Hello HN, Over the last 15 months, two friends and I developed the music recording app we felt we wanted based on our own needs as musicians. It's called Tape It [1] and has just recently hit the Apple App Store [2]. We put a lot of effort into a good UX to help musicians really focus on playing their instrument instead of pretending to be a recording engineer. The app records in stereo on newer iPhones (although that's a premium feature; the free version only records in standard mono audio quality). I would be really grateful for advice from this community on how to best approach marketing. We had a great TechCrunch article covering our launch [3], and we posted it on various music websites. Turns out advertising on Google or Apple Search is a dark art, though. We have some good ideas for developing a good social media presence, but they will take time. Please hit us with feedback, opinions and advice that you think a young indie company like us can use at this point :). And of course, please go and try the app! Best, Thomas [1] https://tape.it [2] https://get.tape.it [3] https://tcrn.ch/3nbODHD

Visit product View on Hacker NewsSep 27, 2021

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

96%96% 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.

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

71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

49%49% 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: ide, 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.

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 · Strong signals: audio · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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