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Pupilus – Generate 3D models from text or sketches in under 60 seconds

Hacker News

Pupilus – Generate 3D models from text or sketches in under 60 seconds

Hey HN, I'm a solo dev and recently launched Pupilus – a tool that generates .glb 3D models from a text prompt or an image. Example prompt: "A cute baby dragon, cartoon style, colorful, isolate" Output is Unity-ready. It's designed for rapid prototyping or early game dev phases. You get 3 free generations to try it: https://www.pupilus.com I'd love your feedback — both positive and brutal. Do you think it is a useful tool? If so, which features should I work on next? i.e. Unity extension? Happy to answer anything about how I built it, the pipeline, or what's under the hood.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
59%59% 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.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: model, models · Missing: mac, agents, macos
50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: pipe, io · Missing: https docs, excited, just released
32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
20%20% 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.

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