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Ask HN: What have you built with LLMs?

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101–110 of 349 posts

Re: Ask HN: What have you built with LLMs?

#101
I just built a tool that uses Whisper.cpp compiled to WASM in conjunction with SQLite WASM for a fully client-side book writing tool.

Basically, I want to write a book without having to type out the whole thing. I got the dictation idea from an episode of Columbo.

It is very much a work in progress and a proof of concept for another writing tool I want to make.

https://orderly.cmgriffing.com/

https://github.com/cmgriffing/orderly

Re: Ask HN: What have you built with LLMs?

#103
post #24

I don't like selling. I wanted a way to practice cold calling in a realistic way. I set up a phone number you can call and talk to an AI that simulates sales calls. I ended up using it for more general purpose things because being able to have a hands-free phone call with an AI turned out to be pretty useful. It's offline now, but here's the code with all the stack and deployment info: https://github.com/kevingduck/C…

Are you finding response time to be an issue? I can imagine some very long pauses might kill the flow of conversation.

It's not perfect, but it's tolerable, and not unlike some real-world calls where there's a slight delay. There are some "Hmm ..." and "well ..." scripted in as well to make it feels natural if there is a long response.

Re: Ask HN: What have you built with LLMs?

#104
post #24

I don't like selling. I wanted a way to practice cold calling in a realistic way. I set up a phone number you can call and talk to an AI that simulates sales calls. I ended up using it for more general purpose things because being able to have a hands-free phone call with an AI turned out to be pretty useful. It's offline now, but here's the code with all the stack and deployment info: https://github.com/kevingduck/C…

Like exposure therapy for people afraid of sales. Very nice idea.

Re: Ask HN: What have you built with LLMs?

#106

Wrote an application to find myself a flat in Berlin, scans some rental websites every minute, uses Google Maps API to calculate the distance to my office, and summarizes the rental description with the GPT-4 API, sends it to me via Telegram. I have no time to read all that generic "vibrant neighborhood" stuff :D

Do you mind sharing a github link if it is public.

Re: Ask HN: What have you built with LLMs?

#108
post #24

I don't like selling. I wanted a way to practice cold calling in a realistic way. I set up a phone number you can call and talk to an AI that simulates sales calls. I ended up using it for more general purpose things because being able to have a hands-free phone call with an AI turned out to be pretty useful. It's offline now, but here's the code with all the stack and deployment info: https://github.com/kevingduck/C…

Like exposure therapy for people afraid of sales. Very nice idea.

Yes exactly!

Re: Ask HN: What have you built with LLMs?

#109

Earlier quoted context omitted.

Are you finding response time to be an issue? I can imagine some very long pauses might kill the flow of conversation.

It's not perfect, but it's tolerable, and not unlike some real-world calls where there's a slight delay. There are some "Hmm ..." and "well ..." scripted in as well to make it feels natural if there is a long response.

I love the scripted filler words, that’s smart

Re: Ask HN: What have you built with LLMs?

#110
I'm building a weight-loss app that leverages LLM to do 2 things:

1. Analyze calories/macronutrients from a text description or photo

2. Provide onboarding/feedback/conversations like you'd get from a nutritionist

https://www.fatgpt.ai/

My stack is Ruby on Rails, PostgreSQL, OpenAI APIs. I chose Rails because I'm very fast in it, but I've found the combination of Rails+Sidekiq+ActionCable is really nice for building conversational experiences on the web. If I stick with this, I'll probably need a native iOS app though.

Vendor stack is: GitHub, Heroku (compute), Neon (DB), Loops.so (email), PostHog (analytics), Honeybadger (errors), and Linear.

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