Running Ubo Pod on macOS [video]

Hacker News

To make development faster and easier (specially for parts that don't require special hardware dependencies), we decided early on to have a development environment on MacOS. It uses your Mac's mics, speakers, camera, and the same GUI that you see on the device. It's a virtualized version of Ubo Pod in a sense. It of course does not support Ubo pod's additional hardware such as infrared transmit, receive, led ring, temperature and ambient light sensor. In this video, I walk you through some examples to use it on your machine. In future videos, I will probably get into the code and give you a tour of its organization. For more information checkout its Github repository here: https://github.com/ubopod/ubo_app

Visit product View on Hacker NewsOct 20, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, macos, code · Missing: agents, agent, cursor

76%76% 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.

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

68%68% 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

45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

45%45% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

41%41% 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

19%19% 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.

Incorrect prediction on native model

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