SuperCraft – Turn industrial design sketches to 3D renders

Hacker News

Hi there, SuperCraft is generative AI tool for industrial designers. It offers a collaborative node based canvas where users can sketch, and convert the sketches to high quality 2D and 3D renders of their products. It looks like if Figma and ComfyUI had a baby. With SuperCraft, designers can generate sketch ideas from textual descriptions of the product, or directly draw on the canvas, or upload images of their sketches. They can further enrich the sketches and turn them into highly realistic renders of the products using textual descriptions. The renders generated are both 2D and 3D, and designers can use the in built 3D viewer to look at the product. (3D looks like rn but work in progress) Every product that you see around you - iPhones, smart watches, toothbrush, Hair dryers, blenders, speakers, drawers, chairs etc etc - were designed from nothing at some point by an industrial designer. The goal of SuperCraft is to become the new default way of designing physical products and become an indispensable tool for any industrial designer, and eventually mechanical engineers too. It is fully live, so please give it a spin and provide feedback! Would love to hear thoughts from this community. Thank you https://supercraft.ai

Visit product View on Hacker NewsAug 20, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, new, physical · Missing: mac, agents, macos

87%87% 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

67%67% predicted probability of success on Indie Hackers, 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

58%58% 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: users, way · Missing: mobile apps, ios, personal

49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

44%44% 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

11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: smart · 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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