Fl

Floneum, a graph editor for local AI workflows

Hacker News

Floneum, a graph editor for local AI workflows

Floneum is a graph editor for local AI workflows. The project focuses on ease of use and community made plugins. The application is a single executable with no dependencies you need to install. You can extend Floneum with WASI plugins that run in a environment that is issolated from your system so that you can use untrusted community plugins without worrying about malware. It uses llamma.cpp to run large language models locally, and wasmtime to run issolated plugins. If you are interested in the project, consider joining the discord, or building a plugin for Floneum in rust using WASI Download: https://github.com/floneum/floneum/releases/tag/v0.1.0 Join the discord: https://discord.gg/dQdmhuB8q5 Build a plugin: https://floneum.com/docs/developer/index

Visit product View on Hacker NewsJul 12, 2023

Actual performance

61points

17comments

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, models, single · Missing: mac, agents, macos

64%64% predicted probability of success on Product Hunt, 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

62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

55%55% 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

34%34% 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

16%16% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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