Ponzu – AI Generated Textures for 3D models

Hacker News

Hey everyone! We just launched Ponzu, an AI-powered prototyping tool that generates tile-able textures for your 3d models. You can give it any prompt, choose an art style, and get an interactive playground to preview and export your generated textures. What you get with Ponzu: 1. AI-generated texture assets 2. Normal, AO, specular, and displacement maps for each texture 3. Adjustable 3D previews in the browser 4. Customizable styles and shareable links We're excited to use AI to supercharge artist and dev workflows, and we're looking forward to feedback on Ponzu! Ponzu is free to use, but we have limited capacity to run GPUs. As a heads up, there might be times when requests queue up and take a few seconds to process. We also launched today on product hunt: https://www.producthunt.com/posts/ponzu

Visit product View on Hacker NewsSep 27, 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: model, models · Missing: mac, agents, macos

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

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

44%44% 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, personal

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: reviews · Missing: plus, platform, intuitive

33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue

15%15% 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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