The best Hacker News stories from Show from the past day
Latest posts:
Show HN: Windows 98 themed website in 1 HTML file for my post punk band
Here's the code: <a href="https://github.com/ConorCorp/corp-website">https://github.com/ConorCorp/corp-website</a>
Show HN: Job board aggregator for best paying remote SWE jobs in the U.S.
I’ve been a remote SWE since the pandemic and truly appreciate its flexibilities and time saved from not commuting. Lately, friends and close ones have been asking me for advice on finding remote roles. I shared my remote company spreadsheet with them, but realized it was a rather manual process to scroll and refresh each company’s career page for new postings.<p>So I put together a centralized job board aggregator that lists the best paying SWE jobs in one place, starting with the U.S. and 14 companies. The way it works is via a cron job that runs daily in the afternoon to pull the latest job postings from each company and updates the website with the new listings.<p>Some other key features are<p>1. Quickly see which companies are actively hiring, e.g. Coinbase currently has the most openings<p>2. Filter by years of experience or companies to find suitable matches<p>3. Easily see estimated salary and posted date<p>If you're also on the hunt for the next remote SWE role, I hope this site helps streamline your job search and would appreciate any feedback and suggestions. Thanks!<p>Home page: <a href="https://www.remoteswe.fyi" rel="nofollow">https://www.remoteswe.fyi</a><p>FAQ page with additional context: <a href="https://www.remoteswe.fyi/faq" rel="nofollow">https://www.remoteswe.fyi/faq</a>
Show HN: Job board aggregator for best paying remote SWE jobs in the U.S.
I’ve been a remote SWE since the pandemic and truly appreciate its flexibilities and time saved from not commuting. Lately, friends and close ones have been asking me for advice on finding remote roles. I shared my remote company spreadsheet with them, but realized it was a rather manual process to scroll and refresh each company’s career page for new postings.<p>So I put together a centralized job board aggregator that lists the best paying SWE jobs in one place, starting with the U.S. and 14 companies. The way it works is via a cron job that runs daily in the afternoon to pull the latest job postings from each company and updates the website with the new listings.<p>Some other key features are<p>1. Quickly see which companies are actively hiring, e.g. Coinbase currently has the most openings<p>2. Filter by years of experience or companies to find suitable matches<p>3. Easily see estimated salary and posted date<p>If you're also on the hunt for the next remote SWE role, I hope this site helps streamline your job search and would appreciate any feedback and suggestions. Thanks!<p>Home page: <a href="https://www.remoteswe.fyi" rel="nofollow">https://www.remoteswe.fyi</a><p>FAQ page with additional context: <a href="https://www.remoteswe.fyi/faq" rel="nofollow">https://www.remoteswe.fyi/faq</a>
Side projects I've built since 2009
Show HN: Buckaroo – Data table UI for Notebooks
Buckaroo is my open source project. It is a dataframe viewer that has the basic features we expect in a modern table - scroll, search, sort. In addition there are summary stats, and histograms available. Buckaroo support Pandas and Polars dataframes and works on Jupter, Marimo, VSCode and Google Colab notebooks.
All of this is extensible. I think of Buckaroo as a framework for building table UIs, and an initial data exploration app built on top of that framework. AG-Grid is used for the core table display and it has been customized with a declarative layer so you don't have to pass JS functions around for customizations. On the python side there is a framework for adding summary stats (with a small DAG for dependencies). There is also an entire Low Code UI for point and click selection of common commands (drop column). The lowcode UI also generates a python function that accomplishes the same tasks. This is built on top of JLisp - a small lisp interpreter that reads JSON flavored lisp.<p>Auto Cleaning looks at columns and heuristically suggests common cleaning operations. The operations are added to the lowcode UI where they can be edited. Multiple cleaning strategies can be applied and the best fit retained. Autocleaning without a UI and multiple strategies is very opaque. Since this runs heuristically (not with an LLM), it’s fast and data stays local.<p>I'm eager to hear feedback from data scientists and other users of dataframes/notebooks.
Show HN: Turn any workflow diagram into compilable, running and stateful code
Hi HN folks, I'm a co-creator of the Dapr CNCF project and co-founder of Diagrid. Today we announced a free-to-use web app that takes any form of workflow diagram (UML, BPMN, scribble in your favorite drawing tool or even on paper) and generates code that runs in any IDE and that can be deployed to Kubernetes and other container based systems, based on Dapr's durable execution workflow engine. This essentially allows you to run durable workflows in minutes and leaves out the guesswork for how to structure, code and optimize a code-first workflow app. I'm happy for you to give this a try and provide feedback!
Show HN: A web browser agent in your Chrome side panel
Hey HN,<p>I'm excited to share BrowserBee, a privacy-first AI assistant in your browser that allows you to run and automate tasks using your LLM of choice (currently supports Anthropic, OpenAI, Gemini, and Ollama). Short demo here: <a href="https://github.com/user-attachments/assets/209c7042-6d54-4fce-92a7-ddf8519156c6">https://github.com/user-attachments/assets/209c7042-6d54-4fc...</a><p>Inspired by projects like Browser Use and Playwright MCP, its main advantage is the browser extension form factor which makes it more convenient for day to day use, especially for less technical users. Its also a bit less cumbersome to use on websites that require you to be logged in, as it attaches to the same browser instance you use (on privacy: the only data that leaves your browser is the communication with the LLM - there is no tracking or data collection of any sort).<p>Some of its core features are as follows:<p>- a memory feature which allows users to memorize common and useful pathways, making the next repetition of those tasks faster and cheaper<p>- real-time token counting and cost tracking (inspired by Cline)<p>- an approval flow for critical tasks such as posting content or making payments (also inspired by Cline)<p>- tab management allowing the agent to execute tasks across multiple tabs<p>- a range of browser tools for navigation, tab management, interactions, etc, which are broadly in line with Playwright MCP<p>I'm actively developing BrowserBee and would love to hear any thoughts, comments, or feedback.<p>Feel free to reach out via email: parsa.ghaffari [at] gmail [dot] com<p>-Parsa
Show HN: A web browser agent in your Chrome side panel
Hey HN,<p>I'm excited to share BrowserBee, a privacy-first AI assistant in your browser that allows you to run and automate tasks using your LLM of choice (currently supports Anthropic, OpenAI, Gemini, and Ollama). Short demo here: <a href="https://github.com/user-attachments/assets/209c7042-6d54-4fce-92a7-ddf8519156c6">https://github.com/user-attachments/assets/209c7042-6d54-4fc...</a><p>Inspired by projects like Browser Use and Playwright MCP, its main advantage is the browser extension form factor which makes it more convenient for day to day use, especially for less technical users. Its also a bit less cumbersome to use on websites that require you to be logged in, as it attaches to the same browser instance you use (on privacy: the only data that leaves your browser is the communication with the LLM - there is no tracking or data collection of any sort).<p>Some of its core features are as follows:<p>- a memory feature which allows users to memorize common and useful pathways, making the next repetition of those tasks faster and cheaper<p>- real-time token counting and cost tracking (inspired by Cline)<p>- an approval flow for critical tasks such as posting content or making payments (also inspired by Cline)<p>- tab management allowing the agent to execute tasks across multiple tabs<p>- a range of browser tools for navigation, tab management, interactions, etc, which are broadly in line with Playwright MCP<p>I'm actively developing BrowserBee and would love to hear any thoughts, comments, or feedback.<p>Feel free to reach out via email: parsa.ghaffari [at] gmail [dot] com<p>-Parsa
Show HN: Chat with 19 years of HN
Hey HN<p>We loaded a BigQuery dataset of all of Hacker News, every comment, story and user, into camelAI.<p>You can ask questions like:<p>• “When does dang tend to comment during the day?”<p>• “Which domains have gained the most submissions since 2015, year-over-year?”<p>• “How has average comment length changed each January since 2007?”<p>• “Top five users who link to arXiv papers the most.”<p>It's behind a log-in to prevent abuse but free to use for 10 messages. No payment info required. We use OpenAI o3 or Claude sonnet 3.7 for the agent which can be really expensive.<p>Would love feedback especially around graph/chart quality and o3 vs sonnet.
Show HN: Chat with 19 years of HN
Hey HN<p>We loaded a BigQuery dataset of all of Hacker News, every comment, story and user, into camelAI.<p>You can ask questions like:<p>• “When does dang tend to comment during the day?”<p>• “Which domains have gained the most submissions since 2015, year-over-year?”<p>• “How has average comment length changed each January since 2007?”<p>• “Top five users who link to arXiv papers the most.”<p>It's behind a log-in to prevent abuse but free to use for 10 messages. No payment info required. We use OpenAI o3 or Claude sonnet 3.7 for the agent which can be really expensive.<p>Would love feedback especially around graph/chart quality and o3 vs sonnet.
Show HN: Hardtime.nvim – break bad habits and master Vim motions
Show HN: Hardtime.nvim – break bad habits and master Vim motions
Show HN: Hardtime.nvim – break bad habits and master Vim motions
Show HN: Vaev – A browser engine built from scratch (It renders google.com)
We’ve been working on Vaev, a minimal web browser engine built from scratch. It supports HTML/XHTML, the CSS cascade, @page rules for pagination, and print-to-PDF rendering. It even handles calc(), var(), and percentage units—and yes, it renders Google.com (mostly).<p>This is an experimental project focused on learning and exploration. Networking is basic (<a href="http://" rel="nofollow">http://</a> and file:// only), and grid layouts aren’t supported yet, but we’re making progress fast.<p>We’d love your thoughts and feedback.
Show HN: Vaev – A browser engine built from scratch (It renders google.com)
We’ve been working on Vaev, a minimal web browser engine built from scratch. It supports HTML/XHTML, the CSS cascade, @page rules for pagination, and print-to-PDF rendering. It even handles calc(), var(), and percentage units—and yes, it renders Google.com (mostly).<p>This is an experimental project focused on learning and exploration. Networking is basic (<a href="http://" rel="nofollow">http://</a> and file:// only), and grid layouts aren’t supported yet, but we’re making progress fast.<p>We’d love your thoughts and feedback.
Show HN: I modeled the Voynich Manuscript with SBERT to test for structure
I built this project as a way to learn more about NLP by applying it to something weird and unsolved.<p>The Voynich Manuscript is a 15th-century book written in an unknown script. No one’s been able to translate it, and many think it’s a hoax, a cipher, or a constructed language. I wasn’t trying to decode it — I just wanted to see: does it behave like a structured language?<p>I stripped a handful of common suffix-like endings (aiin, dy, etc.) to isolate what looked like root forms. I know that’s a strong assumption — I call it out directly in the repo — but it helped clarify the clustering. From there, I used SBERT embeddings and KMeans to group similar roots, inferred POS-like roles based on position and frequency, and built a Markov transition matrix to visualize cluster-to-cluster flow.<p>It’s not translation. It’s not decryption. It’s structural modeling — and it revealed some surprisingly consistent syntax across the manuscript, especially when broken out by section (Botanical, Biological, etc.).<p>GitHub repo: <a href="https://github.com/brianmg/voynich-nlp-analysis">https://github.com/brianmg/voynich-nlp-analysis</a>
Write-up: <a href="https://brig90.substack.com/p/modeling-the-voynich-manuscript-with?r=3z5dn9" rel="nofollow">https://brig90.substack.com/p/modeling-the-voynich-manuscrip...</a><p>I’m new to the NLP space, so I’m sure there are things I got wrong — but I’d love feedback from people who’ve worked with structured language modeling or weird edge cases like this.
Show HN: I modeled the Voynich Manuscript with SBERT to test for structure
I built this project as a way to learn more about NLP by applying it to something weird and unsolved.<p>The Voynich Manuscript is a 15th-century book written in an unknown script. No one’s been able to translate it, and many think it’s a hoax, a cipher, or a constructed language. I wasn’t trying to decode it — I just wanted to see: does it behave like a structured language?<p>I stripped a handful of common suffix-like endings (aiin, dy, etc.) to isolate what looked like root forms. I know that’s a strong assumption — I call it out directly in the repo — but it helped clarify the clustering. From there, I used SBERT embeddings and KMeans to group similar roots, inferred POS-like roles based on position and frequency, and built a Markov transition matrix to visualize cluster-to-cluster flow.<p>It’s not translation. It’s not decryption. It’s structural modeling — and it revealed some surprisingly consistent syntax across the manuscript, especially when broken out by section (Botanical, Biological, etc.).<p>GitHub repo: <a href="https://github.com/brianmg/voynich-nlp-analysis">https://github.com/brianmg/voynich-nlp-analysis</a>
Write-up: <a href="https://brig90.substack.com/p/modeling-the-voynich-manuscript-with?r=3z5dn9" rel="nofollow">https://brig90.substack.com/p/modeling-the-voynich-manuscrip...</a><p>I’m new to the NLP space, so I’m sure there are things I got wrong — but I’d love feedback from people who’ve worked with structured language modeling or weird edge cases like this.
Show HN: Workflow Use – Deterministic, self-healing browser automation (RPA 2.0)
Hey HN – Gregor & Magnus here again.<p>A few months ago, we launched Browser Use (<a href="https://news.ycombinator.com/item?id=43173378">https://news.ycombinator.com/item?id=43173378</a>), which let LLMs perform tasks in the browser using natural language prompts. It was great for one-off tasks like booking flights or finding products—but we soon realized enterprises have somewhat different needs:<p>They typically have one workflow with dynamic variables (e.g., filling out a form and downloading a PDF) that they want to reliably run a million times without breaking. Pure LLM agents were slow, expensive, and unpredictable for these high-frequency tasks.<p>So we just started working on Workflow Use:<p>- You show the browser what to do (by manually recording steps; show don’t tell).<p>- An LLM converts these recordings into deterministic scripts with variables (scripts include AI steps as well, where it’s 100% agentic)<p>- Scripts run reliably, 10x faster, and ~90% cheaper than Browser Use.<p>- If a step breaks, workflow will fallback to Browser Use and agentically run the step. (This self-healing functionality is still very early.)<p>This project just kicked off, so lots of things will break, it’s definitely not production-ready yet, and plenty of stuff is still missing (like a solid editor and proper self-healing). But we wanted to share early, get feedback, and figure out what workflows you’d want to automate this way.<p>Try it out and let us know what you think!
Show HN: Merliot – plugging physical devices into LLMs
Merliot Hub is an AI-integrated device hub.<p>What does that mean? It means you can control and interact with your physical devices, your security cameras, your thermometer, seamlessly using natural language from an LLM host such as Claude Desktop or Cursor. The hub is a gateway between AI and the physical world.<p>What could go wrong?
Show HN: Merliot – plugging physical devices into LLMs
Merliot Hub is an AI-integrated device hub.<p>What does that mean? It means you can control and interact with your physical devices, your security cameras, your thermometer, seamlessly using natural language from an LLM host such as Claude Desktop or Cursor. The hub is a gateway between AI and the physical world.<p>What could go wrong?