Waveform – Take Your Programmer Art to the Next Level

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Waveform is a 3d Model Editor designed to be easy to use from the outset. It does not require any artistic skills to create something that looks good. It enables developers to create functional 3d models quickly, so they can prototype out ideas fast, or even use the models in a commercial product. The tool is capable of creating geometry, UV's for texturing, automatic rigging, animation, and hooking up physics rigid bodies. You can then export as OBJ or FBX, and the physics information is also exported to a separate .ragdoll file. A Unity editor script is additionally provided to hook the physics up to rigid bodies and colliders for you, when importing the model as an FBX. The script can be found in the Unity Sample Project. Site: http://www.waveform3d.com/ (the menu bar along the top provides access to the downloads page, as well as links to the tutorials) V1.1 has recently been released, which adds 3d tools to the viewport, improves performance, adds a low poly modifier, and comes with a new streamlined installation process. As part of the update, I have also created a tutorial video going over how to build a Tank using the tool: Video Tutorial: https://www.youtube.com/watch?v=xpgiu5YUEmg Text/GIFs Tutorial: https://imgur.com/t/software/3zpXf Happy to answer any questions, and any feedback is welcome. Thanks for reading.

Visit product View on Hacker NewsSep 14, 2017

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

88%88% 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, new, models · Missing: mac, agents, macos

75%75% 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

52%52% 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 · Strong signals: video, para · Missing: mobile apps, ios, personal

45%45% 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

43%43% 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

12%12% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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