AI

AI that talks to people on the phone for you

Hacker News

AI that talks to people on the phone for you

Hi HN! I'm launching Mitra - the first ever consumer grade AI agent designed to talk to people on the phone for you. Voice is clearly the next frontier for consumer applications in AI. The problem we are solving is that phone calls are simply exhausting. Phone calls require both people to be fully present and one or both of you might not be comfortable acting a certain way or sharing certain information in real-time on a phone call. AI can solve that by essentially acting as the middleman. With an AI speaking to people on the phone on your behalf, you will have a lot more time freed up and will also allow the other person on the line to express themselves more fully. Also, it is very entertaining to hear your friends talk to an AI. Once a call is finished, you can view transcript and recordings of the call in a wonderful user experience. Mitra calls people using your caller ID so the people you know will actually pick up and businesses won't mark you as spam. Mitra will convey anything you ask it to convey and have an actual back-and-forth conversation with the other person on the line. You can ask it to act a certain way when talking to people (e.g be sarcastic) or do more complicated phone calls (e.g initial phone screens for interview candidates, ordering something for pickup, etc.) Right now, everyone gets 5 minutes for free. There are currently two main Mitra voices to choose from (male or female). If you have any questions or feedback, please feel free to email me, the founder, at sai@simulation-applications.com Right now, we are iOS only though have plans to expand to Android soon. You can download the app now at: https://apps.apple.com/us/app/mitra-call-people-with-ai/id65...

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Actual performance

2points
8comments
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: agent, apple, apps · Missing: mac, agents, macos
93%93% 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: ios · Missing: supports, reddit linkedin, podcasting
76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: ios, apps, way · Missing: mobile apps, personal, entrepreneurs
58%58% predicted probability of success on TrustMRR, 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
48%48% 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 · Strong signals: soon, calls · Missing: plus, platform, intuitive
43%43% predicted probability of success on AppSumo, 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
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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