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Practice soft skills through voice-based roleplays with AI

Hacker News

Practice soft skills through voice-based roleplays with AI

Hey HN, Sean Linehan and Nick deWilde here. I'm really excited to share the new product my co-founder and I have been working on. It's called "Roleplays" and it let's you have voice-based conversations with AI characters. There are two critical components that make it impactful: 1. The actual live roleplaying. It's surprisingly intense! 2. You get super detailed feedback on your performance. The tech stack here is pretty interesting. We're using different models for transcription, token generation, voice generation, and transcript evaluation. There are a lot of moving pieces to make this work seamlessly! As broader point, I think voice is going to wind up being a critical evolution in computing. I recently read "Rise of the Machines: A Cybernetic History" which traces the early origins of computing. It's fascinating that the early pioneers _also_ thought voice would be important due to the low-bandwidth nature of using other control systems. Perhaps they were right, but it took 50 years to get there. Anyways, I'm excited to share this with HN and would love your feedback on the experience!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
93%93% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: mac, model, new · Missing: agents, macos, agent
86%86% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: excited, lua, io · Missing: https docs, just released, exist
58%58% 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
47%47% 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
40%40% 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
18%18% 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.

Incorrect prediction on native model

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