ajabhish

This is look pretty promising. Do you guys are focussing on a specific use case or any voice AI use case in general?

Netflix introduced ad-supported tier in 2022 and things been great since then - subscriber growth, price increase ... and stock has responded really well.

But was there a different path there?

I’ve seen this “stress ≠ skill” gap play out again and again. The Microsoft study the OP cites is brutal. Yet most prep advice (“just grind LeetCode”) still ignores the cortisol factor.

One thing that’s helped me, as both an occasional interviewer and a frequent interviewee, is recreating the stress loop on my own terms. Friends rarely push hard enough, and a paid coach is $150+ an hour. Lately I’ve been working on a little side-project Tough Tongue AI: a voice-driven agent that drops you into a live code editor, throws follow-up questions, even interrupts when you go off-road, then gives a feedback at end. It’s not magic, but after a few sessions the “somebody’s watching me” adrenaline spike starts to feel familiar.

If live coding interviews are here to stay, a repeatable way to train the physiological side of the test, not just the algorithms would be helpful!

Our Voice AI Agent makes it extremely simple and engaging to learn new language - create card dynamically, asks multiple-choice-questions, uses diagrams, does role play ...

Demo: https://www.youtube.com/watch?v=2iSIVnLR-nM Website: https://app.toughtongueai.com/

Idea here to provide fun, human-like conversation with AI voice agent backed by high quality system design content.

ps: It's still experimental and capped to a token limit.

I created a collection of PM interviews based on my experience of interviewing Google, Amazon, and Intuit among other.

This a free resource for looking for feedback and whether it's helpful.

Removed Show HN

That would have been more fun to see. But I was trying to figure what VC data says about AI wave. What's growing and under-invested segment etc

Sorry. Realized I added very few details. Always-On Debugger is a tool that enhances your terminal experience by automatically detecting errors and providing debugging assistance using AI. It acts as a wrapper around your existing terminal, intercepting commands and their outputs to offer real-time debugging support. It's really simple to use and install: just prefix your terminal command with "debug".

It was our AI devtool hackathon project. Wondering there is more to this idea to improve debugging experience in terminal or that's it!

I try to give 30 minutes of time exploring what's new. But I learn new stack way later when I actually need to used in my project (and I vaguely recall reading about it somewhere).

There is idea answer, and then there is Python. I would have picked later!

Ask 5 people around you what they need help with? Try to help them with technology to achieve their goal. Then it's a choice whether to keep it as side project or expand.

What is preferred by API consumers?