GL

GLB2PNG – Screenshot API for GLB/glTF 3D Models

Hacker News

GLB2PNG – Screenshot API for GLB/glTF 3D Models

Hey fellow hackers! I’m the creator of the GLB 2 PNG screenshot API: https://www.flowkit.app/glb2png I aimed to create a fast and easy-to-use API to create screenshots/renderings of 3D models. Example: https://www.flowkit.app/s/demo/r/rh:-45,rv:15,s:512/u/https:... This URL renders a 3D model (specified at the end of the link) with: - -45° horizontal rotation - 15° vertical rotation - 512px size Feel free to tweak these values in the URL and see the results! Use cases where this could be valuable: - Configurators: Generate images or thumbnails for different material variations or add-ons (my background). - Marketplaces: Automate the rendering process for uploaded 3D files. - IP Protection: Safeguard your 3D files by displaying only rendered images. - AI Integration: Combine with APIs like OpenAI’s Vision API to categorize or analyze 3D files. Thanks for reading! I’d love to hear your feedback or suggestions from the HN community

Visit product View on Hacker NewsNov 25, 2024

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

79%79% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: lua, io · Missing: https docs, excited, just released

51%51% 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

39%39% 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

32%32% 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

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

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

Incorrect prediction on native model

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