The best Hacker News stories from Show from the past day
Latest posts:
Show HN: Python can make 3M+ WebSocket keys per second
Show HN: Python can make 3M+ WebSocket keys per second
Show HN: Using C++23 <stacktrace> to get proper crash logs in C++ programs
Show HN: Using C++23 <stacktrace> to get proper crash logs in C++ programs
Show HN: Using C++23 <stacktrace> to get proper crash logs in C++ programs
Show HN: Project S.A.T.U.R.D.A.Y. – open-source, self hosted, J.A.R.V.I.S.
Welcome to Project S.A.T.U.R.D.A.Y. This is a project that allows anyone to easily build their own self-hosted J.A.R.V.I.S-like voice assistant. In my mind vocal computing is the future of human-computer interaction and by open sourcing this code I hope to expedite us on that path.<p>I have had a blast working on this so far and I'm excited to continue to build with it. It uses whisper.cpp [1], Coqui TTS [2] and OpenAI [3] to do speech-to-text, text-to-text and text-to-speech inference all 100% locally (except for text-to-text). In the future I plan to swap out OpenAI for llama.cpp [4]. It is built on top of WebRTC as the media transmission layer which will allow this technology to be deployed anywhere as it does not rely on any native or 3rd party APIs.<p>The purpose of this project is to be a toolbox for vocal computing. It provides high-level abstractions for dealing with speech-to-text, text-to-text and text-to-speech tasks. The tools remain decoupled from underlying AI models allowing for quick and easy upgrades when new technology is realeased. The main demo for this project is a J.A.R.V.I.S-like assistant however this is meant to be used for a wide variety of use cases.<p>In the coming months I plan to continue to build (hopefully with some of you) on top of this project in order to refine the abstraction level and better understand the kinds of tools required. I hope to build a community of like-minded individuals who want to see J.A.R.V.I.S finally come to life! If you are interested in vocal computing come join the Discord server and build with us! Hope to see you there :)<p>Video demo: <a href="https://youtu.be/xqEQSw2Wq54" rel="nofollow noreferrer">https://youtu.be/xqEQSw2Wq54</a><p>[1] whisper.cpp: <a href="https://github.com/ggerganov/whisper.cpp">https://github.com/ggerganov/whisper.cpp</a><p>[2] Coqui TTS: <a href="https://github.com/coqui-ai/TTS">https://github.com/coqui-ai/TTS</a><p>[3] OpenAI: <a href="https://openai.com/" rel="nofollow noreferrer">https://openai.com/</a><p>[4] llama.cpp: <a href="https://github.com/ggerganov/llama.cpp">https://github.com/ggerganov/llama.cpp</a>
Show HN: Project S.A.T.U.R.D.A.Y. – open-source, self hosted, J.A.R.V.I.S.
Welcome to Project S.A.T.U.R.D.A.Y. This is a project that allows anyone to easily build their own self-hosted J.A.R.V.I.S-like voice assistant. In my mind vocal computing is the future of human-computer interaction and by open sourcing this code I hope to expedite us on that path.<p>I have had a blast working on this so far and I'm excited to continue to build with it. It uses whisper.cpp [1], Coqui TTS [2] and OpenAI [3] to do speech-to-text, text-to-text and text-to-speech inference all 100% locally (except for text-to-text). In the future I plan to swap out OpenAI for llama.cpp [4]. It is built on top of WebRTC as the media transmission layer which will allow this technology to be deployed anywhere as it does not rely on any native or 3rd party APIs.<p>The purpose of this project is to be a toolbox for vocal computing. It provides high-level abstractions for dealing with speech-to-text, text-to-text and text-to-speech tasks. The tools remain decoupled from underlying AI models allowing for quick and easy upgrades when new technology is realeased. The main demo for this project is a J.A.R.V.I.S-like assistant however this is meant to be used for a wide variety of use cases.<p>In the coming months I plan to continue to build (hopefully with some of you) on top of this project in order to refine the abstraction level and better understand the kinds of tools required. I hope to build a community of like-minded individuals who want to see J.A.R.V.I.S finally come to life! If you are interested in vocal computing come join the Discord server and build with us! Hope to see you there :)<p>Video demo: <a href="https://youtu.be/xqEQSw2Wq54" rel="nofollow noreferrer">https://youtu.be/xqEQSw2Wq54</a><p>[1] whisper.cpp: <a href="https://github.com/ggerganov/whisper.cpp">https://github.com/ggerganov/whisper.cpp</a><p>[2] Coqui TTS: <a href="https://github.com/coqui-ai/TTS">https://github.com/coqui-ai/TTS</a><p>[3] OpenAI: <a href="https://openai.com/" rel="nofollow noreferrer">https://openai.com/</a><p>[4] llama.cpp: <a href="https://github.com/ggerganov/llama.cpp">https://github.com/ggerganov/llama.cpp</a>
Show HN: Project S.A.T.U.R.D.A.Y. – open-source, self hosted, J.A.R.V.I.S.
Welcome to Project S.A.T.U.R.D.A.Y. This is a project that allows anyone to easily build their own self-hosted J.A.R.V.I.S-like voice assistant. In my mind vocal computing is the future of human-computer interaction and by open sourcing this code I hope to expedite us on that path.<p>I have had a blast working on this so far and I'm excited to continue to build with it. It uses whisper.cpp [1], Coqui TTS [2] and OpenAI [3] to do speech-to-text, text-to-text and text-to-speech inference all 100% locally (except for text-to-text). In the future I plan to swap out OpenAI for llama.cpp [4]. It is built on top of WebRTC as the media transmission layer which will allow this technology to be deployed anywhere as it does not rely on any native or 3rd party APIs.<p>The purpose of this project is to be a toolbox for vocal computing. It provides high-level abstractions for dealing with speech-to-text, text-to-text and text-to-speech tasks. The tools remain decoupled from underlying AI models allowing for quick and easy upgrades when new technology is realeased. The main demo for this project is a J.A.R.V.I.S-like assistant however this is meant to be used for a wide variety of use cases.<p>In the coming months I plan to continue to build (hopefully with some of you) on top of this project in order to refine the abstraction level and better understand the kinds of tools required. I hope to build a community of like-minded individuals who want to see J.A.R.V.I.S finally come to life! If you are interested in vocal computing come join the Discord server and build with us! Hope to see you there :)<p>Video demo: <a href="https://youtu.be/xqEQSw2Wq54" rel="nofollow noreferrer">https://youtu.be/xqEQSw2Wq54</a><p>[1] whisper.cpp: <a href="https://github.com/ggerganov/whisper.cpp">https://github.com/ggerganov/whisper.cpp</a><p>[2] Coqui TTS: <a href="https://github.com/coqui-ai/TTS">https://github.com/coqui-ai/TTS</a><p>[3] OpenAI: <a href="https://openai.com/" rel="nofollow noreferrer">https://openai.com/</a><p>[4] llama.cpp: <a href="https://github.com/ggerganov/llama.cpp">https://github.com/ggerganov/llama.cpp</a>
Show HN: Script – A text editor for digitally interconnected documents
script is a text editor powering truly digital documents recently launched. Feel free to play with and share your feedback.
Show HN: Script – A text editor for digitally interconnected documents
script is a text editor powering truly digital documents recently launched. Feel free to play with and share your feedback.
Show HN: Script – A text editor for digitally interconnected documents
script is a text editor powering truly digital documents recently launched. Feel free to play with and share your feedback.
Show HN: Cerelyze: Implement research papers into code 100x faster(Desktop only)
A tool for engineers and academics to understand and implement research papers faster. Does NOT work on mobile.
Show HN: Timechief – My Smartclock Project
Show HN: Timechief – My Smartclock Project
Show HN: Timechief – My Smartclock Project
Show HN: Tabserve.dev. HTTPS proxy using Web Workers and a Cloudflare Worker
Tabserve gives you a https url for localhost using only the browser (tabserve.dev).<p>Take a look:
<a href="https://tabserve.dev" rel="nofollow noreferrer">https://tabserve.dev</a>
Show HN: Tabserve.dev. HTTPS proxy using Web Workers and a Cloudflare Worker
Tabserve gives you a https url for localhost using only the browser (tabserve.dev).<p>Take a look:
<a href="https://tabserve.dev" rel="nofollow noreferrer">https://tabserve.dev</a>
Show HN: Hyke, a programming language that runs on TypeScript's type system
This absurd project started when I read a couple of blog posts that got very popular around here about solving the N queens puzzle using only Haskell's type system and TypeScript's type system. I figured I could implement Peano arithmetic using only TypeScript's type system. Turns out this have been done several times before, but I did it anyway.<p>While working on it, I realized that you could emulate functions with conditional recursive types, writing them in a way that strongly resembles the equations that can be found in some functional programming languages. So I thought I could write a transpiler that would transform equations written in a more terse language into conditional recursive types with the added boilerplate. And that was when hyke was born.<p>If you want, you can try it in your browser at the playground that is linked in the GitHub repo.
Show HN: Hyke, a programming language that runs on TypeScript's type system
This absurd project started when I read a couple of blog posts that got very popular around here about solving the N queens puzzle using only Haskell's type system and TypeScript's type system. I figured I could implement Peano arithmetic using only TypeScript's type system. Turns out this have been done several times before, but I did it anyway.<p>While working on it, I realized that you could emulate functions with conditional recursive types, writing them in a way that strongly resembles the equations that can be found in some functional programming languages. So I thought I could write a transpiler that would transform equations written in a more terse language into conditional recursive types with the added boilerplate. And that was when hyke was born.<p>If you want, you can try it in your browser at the playground that is linked in the GitHub repo.
Show HN: Hivekit – Geospatial app platform
Hey everyone,<p>We’re Adam & Wolfram, the founders of Hivekit (<a href="https://hivekit.io" rel="nofollow noreferrer">https://hivekit.io</a>), a geospatial app platform to track people and vehicles, stream updates, and execute logic based on spatial events.<p>This allows teams in logistics, ride-sharing, delivery, construction, agriculture or AR gaming to fully concentrate on what makes their offering unique without having to worry about the complex infrastructure required to run large scale geospatial apps.<p>We both have a long history of building realtime data services for industries like financial trading, gaming or app development - but there’s something interesting about that. We were repeatedly approached by companies in mines, food delivery networks, ride sharing companies, mines and even farm-equipment manufacturers who were willing to twist our purpose-built solutions into a pretzel to make them work for geospatial tracking.<p>Recognizing this lack of commodity tech, we started meeting with tech folk from around the world, went to onsite visits in English mines, Italian mozzarella plants and German construction yards (one of my favorite parts of the job) and learned that there’s a huge need for a low level realtime data platform for geospatial apps.<p>Hivekit is that platform. It lets you send location and other data from large numbers of vehicles and devices, subscribe to realtime update feeds from apps and websites, store routes and historic data, run scriptable logic in response to spatial events and comes with all the bits needed to build a successful geospatial app such as online status, geofencing, rich auth and permissions, fulltext search or pubsub notifications.<p>But we want to do more:<p>We’re already working on a 3D world map that lets you track all workers, vehicles and objects, add custom UIs and interactive map overlays, pause and rewind time and - most importantly - control your workforce Command & Conquer style: Simply select a few units, assign a task and Hivekit will translate it into individual instructions, send them out and track their progress.<p>But our real goal isn’t for human operators to control their workforce, but for an AI to automate and optimize operations. Now, before everyone gets too excited: this won’t be an AI in the GPT sense, but more “traditional” ML, optimizing for individual value sets, e.g. “ensure that my taxi drivers are positioned optimally during the course of the day to ensure the lowest possible time to pick up.”<p>You can read more about our plans here: <a href="https://hivekit.io/about/our-vision/" rel="nofollow noreferrer">https://hivekit.io/about/our-vision/</a><p>Who are we?
Wolfram previously built <a href="https://arcentry.com/" rel="nofollow noreferrer">https://arcentry.com/</a>, <a href="https://deepstream.io/" rel="nofollow noreferrer">https://deepstream.io/</a> and <a href="https://golden-layout.com/" rel="nofollow noreferrer">https://golden-layout.com/</a>, Adam is Director of Engineering for a trading tech company.