A new type of Home Assistant

Hacker News

It's 2024, and while GPT-4 has been around for over a year, Alexa and Siri still aren't LLM-based. Despite all the buzz around AI, only about 4% of internet users actively use ChatGPT—200 million weekly users out of 5.5 billion internet users. We know Apple is planning on integrating GPT-4 later this year, but did you catch the demo? It’s hidden behind some weird approval interface with Siri. Amazon just announced Alexa will use Claude before the end of the year. We should expect Apple or Amazon to ship something great, but what if they don't? I’m left wondering, is it worth building an AI Home Assistant in 2024? Well I'm doing it. Here it is ===> Dooe I have to start somewhere, so it is a web app but if it does well I'll build hardware. Feel free to roast it or tell me everything that's wrong with it, or even better, share some constructive feedback so I can make it better. Thanks :)

Visit product View on Hacker NewsAug 31, 2024

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

96%96% 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

77%77% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

40%40% 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 · Strong signals: active · Missing: arr, mrr, revenue

15%15% 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.

Correct prediction on native model

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