A glTF to HTML5 Zip Converter

Hacker News

For everyone graphically and visually talented people there's now a converter that lets you render gltf 3d models in a web site of your choice. How it works is that you post your gltf model to a hosting space of your choice, and let our web service know the url to the gltf file. Then web service generates a zip file that has 3d engine included and unzipping it to your hosting space directory (again the same operation) lets you display the 3d model in a web page. Final touches come with ordinary embed tag which just need to find the index.html that was stored in the zip file and specify the size of the canvas with width/height tags. Embed allows you to include instance of 3d engine to your own articles and web pages.

Visit product View on Hacker NewsJul 26, 2023

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

69%69% 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, visual · Missing: mac, agents, macos

64%64% 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: io · Missing: https docs, excited, just released

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

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: host · 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 · 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

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

Correct prediction on native model

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