The best Hacker News stories from Show from the past day
Latest posts:
Show HN: A Truly Modular Keyboard
Show HN: A Truly Modular Keyboard
Show HN: A Truly Modular Keyboard
Show HN: A Truly Modular Keyboard
Show HN: TitleArt – Make text like it's 1997
Show HN: TitleArt – Make text like it's 1997
Show HN: TitleArt – Make text like it's 1997
Show HN: Open-Source Cybersecurity Platform Uses AI Agents to Protect Businesses
Show HN: Hurston-1 open source TTS that speak Southern American and Afro-English
Hey HN, I’m open sourcing my Hurston-1 narrowband TTS model (Apache-2.0). It is very good with American English and does especially well with Southern American and Regional African English accents. Destined AI is based in Atlanta, and I built this because I’m amazed by what AI can do, and I wanted to help introduce and welcome more people to feel comfortable using and interacting with AI.<p>Since 2021, I’ve been collecting fully consented voice data from over 20,000 people, 1M audio recordings, and over 1,800 hrs of audio captured to date. For this model, I used a small part of the data, 136 hrs, to finetune Maya1 and expand it’s capabilities.<p>Hurston-1 is a narrowband TTS model that focuses the output on telephone use because that is still where most of these voices will be heard. I’ve used it to support customers such as Amazon and Salesforce and generated over half-mill revenue with it. Now I’m open sourcing it to help unlock opportunities for others as well.<p>Limitations: this model doesn’t maintain the exact same voice across prompts and doesn’t support voice cloning. For many use cases, this is fine but maybe not so - if you’re creating podcasts.<p>This is the first release - I’m already working on the next version with improvements.<p>I would appreciate, if anyone is interested in this space, download the model from huggingface, check it out and let me know any feedback. Also, open to connecting with others in this space as well.
Show HN: Hurston-1 open source TTS that speak Southern American and Afro-English
Hey HN, I’m open sourcing my Hurston-1 narrowband TTS model (Apache-2.0). It is very good with American English and does especially well with Southern American and Regional African English accents. Destined AI is based in Atlanta, and I built this because I’m amazed by what AI can do, and I wanted to help introduce and welcome more people to feel comfortable using and interacting with AI.<p>Since 2021, I’ve been collecting fully consented voice data from over 20,000 people, 1M audio recordings, and over 1,800 hrs of audio captured to date. For this model, I used a small part of the data, 136 hrs, to finetune Maya1 and expand it’s capabilities.<p>Hurston-1 is a narrowband TTS model that focuses the output on telephone use because that is still where most of these voices will be heard. I’ve used it to support customers such as Amazon and Salesforce and generated over half-mill revenue with it. Now I’m open sourcing it to help unlock opportunities for others as well.<p>Limitations: this model doesn’t maintain the exact same voice across prompts and doesn’t support voice cloning. For many use cases, this is fine but maybe not so - if you’re creating podcasts.<p>This is the first release - I’m already working on the next version with improvements.<p>I would appreciate, if anyone is interested in this space, download the model from huggingface, check it out and let me know any feedback. Also, open to connecting with others in this space as well.
Show HN: Hurston-1 open source TTS that speak Southern American and Afro-English
Hey HN, I’m open sourcing my Hurston-1 narrowband TTS model (Apache-2.0). It is very good with American English and does especially well with Southern American and Regional African English accents. Destined AI is based in Atlanta, and I built this because I’m amazed by what AI can do, and I wanted to help introduce and welcome more people to feel comfortable using and interacting with AI.<p>Since 2021, I’ve been collecting fully consented voice data from over 20,000 people, 1M audio recordings, and over 1,800 hrs of audio captured to date. For this model, I used a small part of the data, 136 hrs, to finetune Maya1 and expand it’s capabilities.<p>Hurston-1 is a narrowband TTS model that focuses the output on telephone use because that is still where most of these voices will be heard. I’ve used it to support customers such as Amazon and Salesforce and generated over half-mill revenue with it. Now I’m open sourcing it to help unlock opportunities for others as well.<p>Limitations: this model doesn’t maintain the exact same voice across prompts and doesn’t support voice cloning. For many use cases, this is fine but maybe not so - if you’re creating podcasts.<p>This is the first release - I’m already working on the next version with improvements.<p>I would appreciate, if anyone is interested in this space, download the model from huggingface, check it out and let me know any feedback. Also, open to connecting with others in this space as well.
Show HN: Farol – A risk map of a pull request for the person who approves it
Show HN: I put employees inside S&P 500 market-cap bubbles
I was playing around with visualising the S&P 500 by market cap and decided to add employees to each company's bubble.<p>What surprised me was how empty some of the biggest companies looked.<p>Nvidia is worth $5.2 trillion but employs only 42,000 people. That's around $124 million in market cap per employee. Meanwhile, Accenture employs 814,000 people and is worth $146 billion.<p>Each stick figure represents 10,000 employees. You can zoom in and explore individual companies.<p>I wrote a bit more about what I found here: <a href="https://bigwhalehunting.com/blog/workforce/" rel="nofollow">https://bigwhalehunting.com/blog/workforce/</a><p>Would be interested to hear what you think.
Show HN: I put employees inside S&P 500 market-cap bubbles
I was playing around with visualising the S&P 500 by market cap and decided to add employees to each company's bubble.<p>What surprised me was how empty some of the biggest companies looked.<p>Nvidia is worth $5.2 trillion but employs only 42,000 people. That's around $124 million in market cap per employee. Meanwhile, Accenture employs 814,000 people and is worth $146 billion.<p>Each stick figure represents 10,000 employees. You can zoom in and explore individual companies.<p>I wrote a bit more about what I found here: <a href="https://bigwhalehunting.com/blog/workforce/" rel="nofollow">https://bigwhalehunting.com/blog/workforce/</a><p>Would be interested to hear what you think.
Show HN: Autonomous root for Tcl Android TV via CVE-2022-22706
Show HN: Autonomous root for Tcl Android TV via CVE-2022-22706
Show HN: Corgi, a helpful {agent, terminal} multiplexer
Hey everyone,<p>Inspired by Herdr, I've built an agent multiplexer that I've been using as my daily driver for a few weeks now.<p>I think I improved on the concept in a few ways, focusing on the ergonomics I always wished I had:<p>I show you what the agents are up to, along with a running feed of their activity.
There's also a simple shortcut (F1) to go to the next unread agent.<p>I use multiple accounts, so I've added unified launcher for Codex/Claude Code/Pi.
Theres some careful ergonomics there: fast search and resume over sessions, inline usage tracking etc.<p>Many small quality of life improvements to the terminal experience:
- Links can be copied with a click, so no need to drag-select over many lines
- cmd+v just pastes images (even on SSH)
- images have a thumbnail preview.
- Built-in CPU/Memory/GPU usage tracking, broken down by workspace<p>I assume you have access to cheap inference (Luna/Haiku/etc).
It just reuses the agents to organize things for you: what is this http link? what is this worktree about? what is each agent doing?
It's small but it made my environment feel more cozy.<p>On a personal note, I've been on a frustrating sick leave for a while now.
I created Corgi to challenge myself, and see if I can go back.
The answer is more mixed than I had hoped, but I am happy with the result and thankful for the experience.<p>I hope you like it! a few friends & myself have been using it for a few weeks and it's been pretty nice.
There's still a lot to improve and some rough edges, so feedback would be greatly appreciated.<p>Thank you :)
Show HN: Corgi, a helpful {agent, terminal} multiplexer
Hey everyone,<p>Inspired by Herdr, I've built an agent multiplexer that I've been using as my daily driver for a few weeks now.<p>I think I improved on the concept in a few ways, focusing on the ergonomics I always wished I had:<p>I show you what the agents are up to, along with a running feed of their activity.
There's also a simple shortcut (F1) to go to the next unread agent.<p>I use multiple accounts, so I've added unified launcher for Codex/Claude Code/Pi.
Theres some careful ergonomics there: fast search and resume over sessions, inline usage tracking etc.<p>Many small quality of life improvements to the terminal experience:
- Links can be copied with a click, so no need to drag-select over many lines
- cmd+v just pastes images (even on SSH)
- images have a thumbnail preview.
- Built-in CPU/Memory/GPU usage tracking, broken down by workspace<p>I assume you have access to cheap inference (Luna/Haiku/etc).
It just reuses the agents to organize things for you: what is this http link? what is this worktree about? what is each agent doing?
It's small but it made my environment feel more cozy.<p>On a personal note, I've been on a frustrating sick leave for a while now.
I created Corgi to challenge myself, and see if I can go back.
The answer is more mixed than I had hoped, but I am happy with the result and thankful for the experience.<p>I hope you like it! a few friends & myself have been using it for a few weeks and it's been pretty nice.
There's still a lot to improve and some rough edges, so feedback would be greatly appreciated.<p>Thank you :)
Show HN: Steal My Bitcoin
Made this because I'm curious if anyone out there has figured out how to actually use this PHP RCE we spent the last few days panicking over. Have fun!
Show HN: Steal My Bitcoin
Made this because I'm curious if anyone out there has figured out how to actually use this PHP RCE we spent the last few days panicking over. Have fun!