me

merely.xyz/waves – online waveform generator

Hacker News

merely.xyz/waves – online waveform generator

I’d like to share my recent project, which is a waveform generator that resembles a spirograph: https://merely.xyz/waves . This might be especially interesting for fans of synthesizers (you can export the sounds/waveforms!), math, but also for anyone who enjoys pretty shapes. Here is a quick video demo: https://www.youtube.com/watch?v=dCjCaQWOCE4 . The app works online and should work on both desktop and mobile devices. It’s still in early stages and it could use more features (or bug fixes...). If people find this useful, I'd like to continue working on it. I’ve recently added frequency modulation, which was exciting and a bit mind bending; it opens new territories, both sonically and visually. Announcement plus demo: https://twitter.com/MerelySounds/status/1564698369632632832 . Thanks for checking this out, hope you enjoyed it. If you have any feedback, questions or a feature request, I’d love to hear it.

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Actual performance

2points
1comments
Did not reach leaderboard

Launch Intel predictions

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AppSumoStrong fit for a featured deal · Strong signals: plus · Missing: platform, intuitive, reviews
60%60% predicted probability of success on AppSumo, 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
59%59% 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, io · Missing: https docs, excited, just released
53%53% 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: new, visual, open · Missing: mac, agents, macos
44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video · 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
13%13% 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.

Incorrect prediction on native model

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