Chat with 3D Models on the Browser

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Hi everyone, I’m writing to share an open source project I’ve been working on just for fun: llmpeople.com It currently has 2 available models - an anime like female character, and a realistic looking male character. We can switch between these models by clicking on the top left corner settings icon, and then selecting a model from the model dropdown. It also should be relatively easy to export a model from blender, and use it instead of the available models. I've included instructions on how to do this on the readme: https://github.com/jongomez/llmpeople#use-a-custom-model There are multiple voices available as well - including the new voices from OpenAI. Hope anyone out there finds this interesting. Happy to get any feedback or suggestions.

Visit product View on Hacker NewsNov 22, 2023

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

88%88% 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 · Strong signals: including · Missing: supports, reddit linkedin, podcasting

72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, 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: chat · Missing: web3, crypto, cryptocurrency

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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