The best Hacker News stories from Show from the past day
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Show HN: I built a dataset of 25k+ Gumroad products to spot market opportunities
Show HN: I built a dataset of 25k+ Gumroad products to spot market opportunities
Shrinkflation Tracker
Show HN: Nue – A React/Vue/Vite/Astro Alternative
Author here. I've been working on this for the past ~12 months, lately full-time.<p>I'm releasing two things today:<p>1. Nue JS: <a href="https://nuejs.org/docs/nuejs/" rel="nofollow noreferrer">https://nuejs.org/docs/nuejs/</a> — A tiny (2.3kb minzipped) JavaScript library for building user interfaces. It's like React/Vue core, but there are no hooks, effects, props, or other unusual abstractions on your way. Know the basics of HTML, CSS, and JavaScript and you are good to go. Nue JS supports server-side rendering (SSR), reactive components, and "isomorphic" combinations. It takes inspiration from Vue 2.0 and Riot.js. (I'm actually the original author of Riot).<p>2. Nue ecosystem: <a href="https://nuejs.org/ecosystem/" rel="nofollow noreferrer">https://nuejs.org/ecosystem/</a> — This is the ultimate goal and once all the sub-projects are finished, Nue will be a serious alternative to things like Vite, Next.js, and Astro.<p>The thing is that I'm not happy with the current state of web development, so I want to write a completely new ecosystem from scratch. I'm taking advantage of the "old" innovations like progressive enhancement, separation of concerns, and semantic web design. Benefits highlighted here: <a href="https://nuejs.org/why/" rel="nofollow noreferrer">https://nuejs.org/why/</a><p>All projects will be released under the MIT license.<p>Happy to answer any questions.
Show HN: Nue – A React/Vue/Vite/Astro Alternative
Author here. I've been working on this for the past ~12 months, lately full-time.<p>I'm releasing two things today:<p>1. Nue JS: <a href="https://nuejs.org/docs/nuejs/" rel="nofollow noreferrer">https://nuejs.org/docs/nuejs/</a> — A tiny (2.3kb minzipped) JavaScript library for building user interfaces. It's like React/Vue core, but there are no hooks, effects, props, or other unusual abstractions on your way. Know the basics of HTML, CSS, and JavaScript and you are good to go. Nue JS supports server-side rendering (SSR), reactive components, and "isomorphic" combinations. It takes inspiration from Vue 2.0 and Riot.js. (I'm actually the original author of Riot).<p>2. Nue ecosystem: <a href="https://nuejs.org/ecosystem/" rel="nofollow noreferrer">https://nuejs.org/ecosystem/</a> — This is the ultimate goal and once all the sub-projects are finished, Nue will be a serious alternative to things like Vite, Next.js, and Astro.<p>The thing is that I'm not happy with the current state of web development, so I want to write a completely new ecosystem from scratch. I'm taking advantage of the "old" innovations like progressive enhancement, separation of concerns, and semantic web design. Benefits highlighted here: <a href="https://nuejs.org/why/" rel="nofollow noreferrer">https://nuejs.org/why/</a><p>All projects will be released under the MIT license.<p>Happy to answer any questions.
Show HN: Nue – A React/Vue/Vite/Astro Alternative
Author here. I've been working on this for the past ~12 months, lately full-time.<p>I'm releasing two things today:<p>1. Nue JS: <a href="https://nuejs.org/docs/nuejs/" rel="nofollow noreferrer">https://nuejs.org/docs/nuejs/</a> — A tiny (2.3kb minzipped) JavaScript library for building user interfaces. It's like React/Vue core, but there are no hooks, effects, props, or other unusual abstractions on your way. Know the basics of HTML, CSS, and JavaScript and you are good to go. Nue JS supports server-side rendering (SSR), reactive components, and "isomorphic" combinations. It takes inspiration from Vue 2.0 and Riot.js. (I'm actually the original author of Riot).<p>2. Nue ecosystem: <a href="https://nuejs.org/ecosystem/" rel="nofollow noreferrer">https://nuejs.org/ecosystem/</a> — This is the ultimate goal and once all the sub-projects are finished, Nue will be a serious alternative to things like Vite, Next.js, and Astro.<p>The thing is that I'm not happy with the current state of web development, so I want to write a completely new ecosystem from scratch. I'm taking advantage of the "old" innovations like progressive enhancement, separation of concerns, and semantic web design. Benefits highlighted here: <a href="https://nuejs.org/why/" rel="nofollow noreferrer">https://nuejs.org/why/</a><p>All projects will be released under the MIT license.<p>Happy to answer any questions.
Show HN: Microphone Test
Hey HN, I recently bought a Razor laptop and put Ubuntu on it. After the initial set up I couldn't get the microphone to work. In the process of running a microphone test I saw that the domain itself was for sale, so I decided to pick it up and make a website that did exactly what I wanted. Hope you enjoy the simplicity of it. If there is any other suggestions please let me know
Show HN: SHA256 sentence demo with Rust, rayon, once_cell, Rosetta code iterator
Show HN: Ever Been Rated by an AI Date? Try Dating Playground and Get Feedback
Hey HackerNews folks!<p>I first launched DatingAI.pro to help people improve their dating profiles, get reply suggestions, etc but to that I got feedback where people pointed out that someone could just impersonate their entire profile which made sense and I thought what if I could actually help people really get better at texting or conversations by giving them feedback and letting them improve via suggestions.<p>I understand a human date can't be replaced but certainly we could help to an extent.
NOTE - THIS IS NOT AN AI GIRLFRIEND.<p>This is how it works:
1. Swipe from profiles of the opposite gender and then you're matched with someone.
2. Start an engaging chat & earn or lose points based on your charm (or lack thereof).
3. Simultaneously get reply suggestions to navigate the conversation.
4. Receive a final verdict: Would they like to go out on a date with you?<p>And the best part? Those points aren't just for bragging rights they can be redeemed them for other features in the tool. Think of it as a dating simulator with tangible rewards.<p>Would love to know your thoughts
Show HN: Improved freemusicdemixer – AI music demixing in the browser
Hi HN,<p>Last time I showed free-music-demixer, which people seemed to enjoy. It was a static website with a Javascript + WASM module to perform music demixing (or music source separation) using an AI model UMX-L (Open-Unmix) running client-side in the browser.<p>Since then, I have overhauled the project and made several improvements:<p>- The demixing/separation quality is higher now, since I implemented the missing post-processing step<p>- Memory usage is lower now by performing a custom segmented inference with a streaming LSTM, which should allow larger tracks (or, dare I say, arbitrarily-large tracks)<p>- There is a batch upload feature now to demix an entire folder of songs (and provide zip files of the stems)<p>- There are now dev logs printed to the website to show the progress better
Show HN: Improved freemusicdemixer – AI music demixing in the browser
Hi HN,<p>Last time I showed free-music-demixer, which people seemed to enjoy. It was a static website with a Javascript + WASM module to perform music demixing (or music source separation) using an AI model UMX-L (Open-Unmix) running client-side in the browser.<p>Since then, I have overhauled the project and made several improvements:<p>- The demixing/separation quality is higher now, since I implemented the missing post-processing step<p>- Memory usage is lower now by performing a custom segmented inference with a streaming LSTM, which should allow larger tracks (or, dare I say, arbitrarily-large tracks)<p>- There is a batch upload feature now to demix an entire folder of songs (and provide zip files of the stems)<p>- There are now dev logs printed to the website to show the progress better
Show HN: Improved freemusicdemixer – AI music demixing in the browser
Hi HN,<p>Last time I showed free-music-demixer, which people seemed to enjoy. It was a static website with a Javascript + WASM module to perform music demixing (or music source separation) using an AI model UMX-L (Open-Unmix) running client-side in the browser.<p>Since then, I have overhauled the project and made several improvements:<p>- The demixing/separation quality is higher now, since I implemented the missing post-processing step<p>- Memory usage is lower now by performing a custom segmented inference with a streaming LSTM, which should allow larger tracks (or, dare I say, arbitrarily-large tracks)<p>- There is a batch upload feature now to demix an entire folder of songs (and provide zip files of the stems)<p>- There are now dev logs printed to the website to show the progress better
Show HN: Victor, a browser-optimized vector database written in Rust
Hey HN,<p>My friend Sam and I were bored one weekend, and wanted to make something self-contained but still useful. We ended up with Victor [0], a vector database designed to run in the browser. It’s written in Rust, which gives us access to things like super-fast and compact serialization and deserialization, but it’s compiled to WASM and uses web-sys to interact with the browser’s JS APIs to write the database contents to disk.<p>We worked hard on designing it in a way that makes sense for the browser. It uses the private origin file system [1] and stores the vectors in a compact format (one byte per vector dimension).<p>Since storage space is at a premium in the browser, we also provide built-in PCA to allow you to compress your vectors. It’s completely transparent to the user and automatically kicks in once a vector storage file exceeds 10mb. We’re trying to think of a better way to design this API, so let us know any ideas you have!<p>[0]: <a href="https://github.com/not-pizza/victor/">https://github.com/not-pizza/victor/</a><p>[1]: <a href="https://developer.mozilla.org/en-US/docs/Web/API/File_System_API/Origin_private_file_system" rel="nofollow noreferrer">https://developer.mozilla.org/en-US/docs/Web/API/File_System...</a>
Show HN: Victor, a browser-optimized vector database written in Rust
Hey HN,<p>My friend Sam and I were bored one weekend, and wanted to make something self-contained but still useful. We ended up with Victor [0], a vector database designed to run in the browser. It’s written in Rust, which gives us access to things like super-fast and compact serialization and deserialization, but it’s compiled to WASM and uses web-sys to interact with the browser’s JS APIs to write the database contents to disk.<p>We worked hard on designing it in a way that makes sense for the browser. It uses the private origin file system [1] and stores the vectors in a compact format (one byte per vector dimension).<p>Since storage space is at a premium in the browser, we also provide built-in PCA to allow you to compress your vectors. It’s completely transparent to the user and automatically kicks in once a vector storage file exceeds 10mb. We’re trying to think of a better way to design this API, so let us know any ideas you have!<p>[0]: <a href="https://github.com/not-pizza/victor/">https://github.com/not-pizza/victor/</a><p>[1]: <a href="https://developer.mozilla.org/en-US/docs/Web/API/File_System_API/Origin_private_file_system" rel="nofollow noreferrer">https://developer.mozilla.org/en-US/docs/Web/API/File_System...</a>
Show HN: Deploying subdomain-based routing like github.io
Show HN: Deploying subdomain-based routing like github.io
Show HN: Kr8s – a Python client library for Kubernetes
Hey folks. I'm the author of kr8s.<p>I’ve been working on kr8s for a while now and one of my core goals is to build a Python library for Kubernetes that is the most simple, readable and produces the most maintainable code. It should enable folks to write clean code when working with the Kubernetes API.<p>If you're interested in how it compares with other libraries then check out [this post](<a href="https://jacobtomlinson.dev/posts/2023/comparison-of-kr8s-vs-other-python-libraries-for-kubernetes/" rel="nofollow noreferrer">https://jacobtomlinson.dev/posts/2023/comparison-of-kr8s-vs-...</a>).<p>Happy to answer any questions you might have in the comments here .
Show HN: Kr8s – a Python client library for Kubernetes
Hey folks. I'm the author of kr8s.<p>I’ve been working on kr8s for a while now and one of my core goals is to build a Python library for Kubernetes that is the most simple, readable and produces the most maintainable code. It should enable folks to write clean code when working with the Kubernetes API.<p>If you're interested in how it compares with other libraries then check out [this post](<a href="https://jacobtomlinson.dev/posts/2023/comparison-of-kr8s-vs-other-python-libraries-for-kubernetes/" rel="nofollow noreferrer">https://jacobtomlinson.dev/posts/2023/comparison-of-kr8s-vs-...</a>).<p>Happy to answer any questions you might have in the comments here .
Show HN: Kr8s – a Python client library for Kubernetes
Hey folks. I'm the author of kr8s.<p>I’ve been working on kr8s for a while now and one of my core goals is to build a Python library for Kubernetes that is the most simple, readable and produces the most maintainable code. It should enable folks to write clean code when working with the Kubernetes API.<p>If you're interested in how it compares with other libraries then check out [this post](<a href="https://jacobtomlinson.dev/posts/2023/comparison-of-kr8s-vs-other-python-libraries-for-kubernetes/" rel="nofollow noreferrer">https://jacobtomlinson.dev/posts/2023/comparison-of-kr8s-vs-...</a>).<p>Happy to answer any questions you might have in the comments here .
Show HN: Lantern – a PostgreSQL vector database for building AI applications
We are excited to share Lantern! Lantern is a PostgreSQL vector database extension for building AI applications.
Install and use our extension here: <a href="https://github.com/lanterndata/lantern">https://github.com/lanterndata/lantern</a><p>We have the most complete feature set of all the PostgreSQL vector database extensions. Our database is built on top of usearch — a state of the art implementation of HNSW, the most scalable and performant algorithm for handling vector search.<p>There’s three key metrics we track. CREATE INDEX time, SELECT throughput, and SELECT latency. We match or outperform pgvector and pg_embedding (Neon) on all of these metrics.<p>** Here’s what we support today **<p>- Creating an AI application end to end without leaving your database (example: <a href="https://github.com/ezra-varady/lanterndb-semantic-image-search">https://github.com/ezra-varady/lanterndb-semantic-image-sear...</a>)<p>- Embedding generation for popular use cases (CLIP model, Hugging Face models, custom model)<p>- Interoperability with pgvector's data type, so anyone using pgvector can switch to Lantern<p>- Parallel index creation capabilities -- Support for creating the index outside of the database and inside another instance allows you to create an index without interrupting database workflows.<p>** Here’s what’s coming soon **<p>- Cloud-hosted version of Lantern<p>- Templates and guides for building applications for different industries<p>- Tools for generating embeddings (support for third party model API's, more local models)<p>- Support for version control and A/B test embeddings<p>- Autotuned index type that will choose appropriate index creation parameters<p>- 1 byte and 2 byte vector elements, and up to 8000 dimensional vectors support<p>** Why we started Lantern today **<p>There's dozens of vector databases on the market, but no enterprise option built on top of PostgreSQL. We think it's super important to build on top of PostgreSQL<p>- Developers know how to use PostgreSQL.<p>- Companies already store their data on PostgreSQL.<p>- Standalone vector databases have to rebuild all of what PostgreSQL has built for the past 30-years, including all of the optimizations on how to best store and access data.<p>We are open source and excited to have community contributors!
Looking forward to hearing your feedback!