Floe – an open-source plugin for sample libraries – CLAP/VST3/AU

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I'm Sam, I make sample libraries (as FrozenPlain). These sample libraries run inside Floe, my audio plugin for Linux, macOS and Windows. It's designed for musicians, composers and producers - typically people involved with film/TV/game scoring or ambient music. I open-sourced it primarily because I'm very fond of this philosophy and I want to open the door for serving a wider audience than just my own libraries. It's totally free, no sign-ups. You'll need a DAW. To try it: - Download and install Floe: https://floe.audio - Download your choice of free packages: https:floe.audio/packages#community-packages or https://www.frozenplain.com/product/music-box-suite-free - Install the packages using Floe's 'Install Package' button. https://floe.audio/docs/installation/install-packages I'm curious about HN's thoughts regarding the open-source nature, directions I could take for expanding the audience, and the Lua based sample-library it has ( https://floe.audio/docs/develop/develop-libraries ). Thanks.

Visit product View on Hacker NewsAug 31, 2026

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

78%78% 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: mac, macos, using · Missing: agents, agent, cursor

56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: lua, ide, io · Missing: https docs, excited, just released

48%48% 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

35%35% 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

12%12% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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