I've built a tool for musicians using modular gear

Hacker News

Hello HN, not many will know what this tool is about, but it's launch day and I always dreamed of posting on HN. Let's start! This is a tool for people using eurorack gear. For synth people. What is cool about my tool is that I show the signal flow with a graph. Here's the official press text: After a decade of stagnation in this space we are excited to present patcher.xyz: the modern way to manage everything modular. It’s a tool for professionals, enthusiasts, and casual wigglers. Novadays artists must develop their own means of taking notes, often on paper, since there is no common format for sharing ideas. Although there is nothing wrong with that, we believe we have found a better way. We wanted our patch ideas to be searchable, editable and easily-shareable. We needed an easier way to plan our racks, without creating a mess. We needed to be able to find awesome modules fitting our style and feel, without being lost in the ocean of different options. We made it a reality. patcher.xyz was built to provide a fast and enjoyable experience while bypassing the limitations of current offerings. Our vision is to build a platform to assist you in any part of your wiggling experience: from research, to planning, to buying or trading gear, to sharing your new ideas and music.

Visit product View on Hacker NewsFeb 2, 2022

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

84%84% 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: new, using, notes · Missing: mac, agents, macos

72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: trading, way · Missing: mobile apps, ios, personal

66%66% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

46%46% 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 · Strong signals: platform · Missing: plus, intuitive, reviews

44%44% 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 · 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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