Realtime AI and Telephony and DTMF

Hacker News

People are getting used to home assistants sounding good, they already have high expectations. But when you hear a robot that you ASSUME is dumb respond in an intelligent way, it feels very strange. I've been building a bunch of different demos lately to showcase different facets of Realtime & LLM capabilities —— and even though Telephony + Voice seems like a somewhat boring combination —— it was one of my favourites to demo & use. I don't really know why, but it's extremely jarring to hear a DTMF robot respond intelligently if you say something unexpected. I'd love to hear any other ideas of a "dumb" robot that I can try to add realtime AI to —— it really rekindles the feeling of magic that I had ~2 years ago with the launch of ChatGPT.

Visit product View on Hacker NewsNov 22, 2024

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

81%81% 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

65%65% 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

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.

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

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit

19%19% 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

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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