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An Open Source Equilizer Plugin
Hacker NewsAn Open Source Equilizer Plugin
a5eq.lv2 is a versatile LV2 plugin featuring a high-performance 5-band equalizer, equipped with a Low Shelf, three Peaking Filters, and a High Shelf. The goal of a5eq.lv2 is to deliver optimized performance on both AMD64 and ARM64 architectures. By leveraging SIMD instructions, the plugin ensures efficient and reliable operation. As the author of a5eq.lv2, I welcome feature requests and ideas for improvement.
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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting81%81% 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.
Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, io · Missing: https docs, excited, just released53%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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: open · Missing: mac, agents, macos40%40% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: efficient · Missing: plus, platform, intuitive33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto20%20% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
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