Generator – Geometry nodes plugin for Figma

Hacker News

I am working on a freemium plugin for Figma that lets you do generative art and dataviz by building node graphs, called Generator. It's early software, but already lets you do very interesting things, like parse and visualize CSV, create randomized art, create fine-tuned automatic color palettes, link Figma's variables into graphs, and more. It has built-in tutorials for the basics, and I will be adding more as development goes on. Due to what's possible with Figma's plugin API, the results can be slow, as objects must be created/updated one by one. But on the upside, the results are editable Figma objects (including skewed text) that you can incorporate directly into your other work.

Visit product View on Hacker NewsSep 27, 2023

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

67%67% 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: visual · Missing: mac, agents, macos

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

TrustMRRLess likely to generate early MRR · Strong signals: visualize · Missing: mobile apps, ios, personal

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

47%47% 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

26%26% 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

17%17% 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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