Show HN: Ki Editor - the multicursor syntactical editor https://bit.ly/3ZdLOsn

Show HN: Ki Editor - the multicursor syntactical editor Hi everyone, I have been developing this editor, Ki, for over a year, and have employed it substantially in all kinds of development (including Ki itself) for at least 3 months. I think it is mostly crystallized, thus I'm happy to share it with you today. Its main strength is first-class multi-cursor and structural (syntax) editing, which is a rare combination in the realm of editors (TUI or GUI alike). Hope you'll enjoy it! https://bit.ly/3Tidjxe September 9, 2024 at 01:39AM

Show HN: Just released a new landing page for a blockchain usage data aggregator https://bit.ly/4ehyoQj

Show HN: Just released a new landing page for a blockchain usage data aggregator Would love to know what you think of it and whether there is any kind of data you would like to see! https://bit.ly/3Xldx87 September 8, 2024 at 06:19AM

Show HN: I dropped to part-time work to develop a Design Copilot for developers https://bit.ly/3B4hdn0

Show HN: I dropped to part-time work to develop a Design Copilot for developers Hey HN! I develop browser extensions, I suck at web design, and I've been exploring AI/LLMs. With my new found free-time since dropping work hours, I've developed a Design Copilot browser extension [0]. It does what it says on the tin - you choose a part of your website and the tool gives you instant expert design feedback - "change this font to that, add this much whitespace, use brighter colours .... etc" The tool is completely 100% free to use, its powered by bringing your own AI API Key, and the current LLM it uses is Google Gemini 1.5 Pro. I've yet to hit the free rate-limit and I use the tool myself daily all day. The tool itself was used to create its own final design! Let me know what you think, support a dev, give it a try. Cheers [0] - https://bit.ly/4gdWWM5... https://bit.ly/3Zk5Dyj September 8, 2024 at 04:58AM

Show HN: RPN calc 15C for 320x200 display https://bit.ly/3Zg74hp

Show HN: RPN calc 15C for 320x200 display https://bit.ly/4cSCrSl September 8, 2024 at 02:42AM

Show HN: Private, local data gathering tool, to make your Digital Twin https://bit.ly/3TmwMwH

Show HN: Private, local data gathering tool, to make your Digital Twin Imagine giving your grand-grand-grand kids yourself on an SD card. And all of that starts with data. https://bit.ly/47q6RtV September 7, 2024 at 09:17PM

Show HN: Minefield – Fast SBOM Management, 10k Packages Cached in 30s https://bit.ly/4cVOKx2

Show HN: Minefield – Fast SBOM Management, 10k Packages Cached in 30s Hi HN! I’m Naveen, and I’d like to introduce Minefield, an open-source tool designed to simplify managing software bills of materials (SBOM) and identifying vulnerabilities in dependencies. It’s built to handle large-scale projects with speed and efficiency. Managing thousands of dependencies and ensuring they are vulnerability-free is daunting, especially in large software projects. Minefield tackles this challenge by providing fast, scalable SBOM management and dependency tracking. Key Features: •Caching Speed: Caches 10,000 SBOM packages’ transitive dependents in just 30 seconds. •Optimized Queries: Runs dependency and circular dependency queries in O(1) time using Roaring Bitmaps. •Highly Scalable: Designed to handle massive amounts of data efficiently with near-instant query times. Minefield stores relationship data using a direct node-to-node graph model and Roaring Bitmaps, ensuring minimal storage overhead and ultra-fast query speeds. This approach allows it to manage massive datasets efficiently without complex node-edge structures. You can check out the project here: https://bit.ly/47pftkv . Read the project paper here for more technical details: https://bit.ly/3ZgXsmq... I’d love to hear your feedback and ideas on how to improve Minefield! Feel free to open issues, submit PRs, or just leave a comment. https://bit.ly/47pftkv September 6, 2024 at 09:26PM

Show HN: Track whether cryptocurrencies are being used and for what https://bit.ly/3Tlb1gK

Show HN: Track whether cryptocurrencies are being used and for what Hey HN, I'm Jake, and I created Chainspy, a website that aggregates and visualizes on-chain metrics across multiple blockchains like Bitcoin, Ethereum, and others. It's designed to give you insights beyond just price data. Why Chainspy? - On-Chain Metrics: Track blockchain activity (e.g., transactions, active users) across multiple networks, all in one place. - Advanced Charting: Visualize blockchain data with integrated TradingView charts. Ideal for comparing blockchain performance over time. - Wealth Distribution: See how wealth is distributed across wallets and spot centralization trends. - API Access (Coming Soon): Need blockchain data for your projects? We're working on an API—let me know if you're interested! A Sneak Peek: Wealth Distribution: How is wealth spread across wallets? https://bit.ly/3Tkv0vY https://bit.ly/3Tkv130 Active Transactions: Which chains are seeing the most activity? https://bit.ly/3Tlb38m Active Users (addresses): How many people are using the network? https://bit.ly/3Tlb3oS I’m just starting out and would love feedback on features and data you'd like to see. If you have a favorite blockchain or metric you'd want tracked, let me know—I’ll try to add it. Let’s make blockchain data easier for everyone to access. https://bit.ly/3TfM0nl September 7, 2024 at 01:31AM

Show HN: Museum Music – generate period-appropriate playlists from artwork https://bit.ly/3XgKXVh

Show HN: Museum Music – generate period-appropriate playlists from artwork This is Museum Music, an app to help experience art with era-appropriate music - photograph an art piece, and it will create a unique Spotify playlist that complements its era and style. We built this from our own experiences visiting museums and thoughts of enhancing the experience with music. It's built with GPT Vision and the Spotify API. Although the initial focus was on art-inspired music, it works surprisingly well on other, day-to-day photos too! https://bit.ly/3XiB7Cb September 6, 2024 at 09:22PM

Show HN: Tiny JS – A Tiny JavaScript Library for Easy DOM Creation https://bit.ly/3z5IKUI

Show HN: Tiny JS – A Tiny JavaScript Library for Easy DOM Creation https://bit.ly/4evzHLZ September 6, 2024 at 05:11AM

Show HN: Retronews – TUI for HN and Lobsters emulating classical Usenet readers https://bit.ly/4dR2Dhh

Show HN: Retronews – TUI for HN and Lobsters emulating classical Usenet readers https://bit.ly/4ef9ReH September 4, 2024 at 02:58PM

Show HN: PlaceholderJS – Simple and Lightweight Placeholders https://bit.ly/3z5qJG4

Show HN: PlaceholderJS – Simple and Lightweight Placeholders Hey all! My name is Owen, I'm the developer behind PlaceholderJS. Since the demise of placeholder.com, I wanted to be able to use placeholders on my React projects via a package so that way I don't have to worry about these services shutting down again in the future. Additionally, for our non-React developers out there, I created a simple CDN that functions similarly via the PlaceholderJS.com domain. In the future, I'd like to add support for more frameworks, placeholder text, additional customization, etc. I'm looking to improve this and continue to support it and would love your feedback. https://bit.ly/3AU2viF September 5, 2024 at 10:01PM

Show HN: I made CMS less than 15 kilobytes, flat file https://bit.ly/4dR3oqz

Show HN: I made CMS less than 15 kilobytes, flat file https://bit.ly/3LN1Xgw https://bit.ly/4dQt72D - free hosting based on this CMS September 1, 2024 at 07:12AM

Show HN: I built site to breathe vibrant color into your long-lost family photo https://bit.ly/3XujWz6

Show HN: I built site to breathe vibrant color into your long-lost family photo A few months ago, while sorting through some old family albums, I came across several black-and-white photos of my grandparents that I'd never seen in color. The lack of color made them feel distant, like a history disconnected from the present. It made me wonder—how would these moments feel if they were brought to life in vibrant color? That sparked the idea. I realized this wasn’t just my experience; many people have cherished black-and-white photos of loved ones, but the lack of color often makes those memories feel incomplete. I wanted to bridge that gap and create something that could make these memories feel more alive and personal. With that vision, I dove into development. Over the next three months, I worked on refining an AI that could accurately and beautifully colorize black-and-white photos, handling everything from delicate skin tones to more nuanced details like landscapes and fabric textures. It wasn’t easy—there were plenty of challenges in getting the AI to work well across different types of images, from faded portraits to highly detailed scenes. After several iterations and feedback rounds, PhotoRestore AI was born. It’s an easy-to-use tool that lets you upload black-and-white photos and have them transformed into vibrant, lifelike images within seconds. The AI uses a combination of historical data and modern machine learning techniques to generate realistic color results. It’s designed for anyone looking to breathe new life into their family photos or historical images, and I’d love for the HN community to try it out and provide feedback. https://bit.ly/3Xxe8VF September 5, 2024 at 01:54AM

Show HN: Indiestories (Email Lottery) https://bit.ly/3Z8HlaB

Show HN: Indiestories (Email Lottery) Eleven years ago, I signed up to a special newsletter. For the next five years, I got an email every single day from different people. Every email came with a story, each story was a window into the lives of the writer. I loved reading every single one of them. The emails came to an abrupt end in 2018, and ever since then I've been looking for something similar on the internet. Recently I've decided to bring it back to the community of indie hacker / makers / startup founders / investors we have on this platform. There's something about emails that's personable, it speaks to you differently than a tweet or a blog post. I want to replicate the same feeling I had reading these emails and I want to help people make real connections in a different yet familiar way. https://bit.ly/4cSjAa2 September 4, 2024 at 10:38PM

Show HN: Readry – News & Newsletters on Kindle/eReaders https://bit.ly/3TjXENV

Show HN: Readry – News & Newsletters on Kindle/eReaders https://bit.ly/3z9mh9d September 4, 2024 at 06:45AM

Show HN: A mobile app built with R https://bit.ly/3z842ky

Show HN: A mobile app built with R https://bit.ly/3z842RA September 4, 2024 at 04:11AM

Show HN: OBS Live-streaming with 120ms latency https://bit.ly/3z82gjo

Show HN: OBS Live-streaming with 120ms latency https://bit.ly/3MfuFqR September 2, 2024 at 01:46PM

Show HN: I'm making an AI scraper called FetchFox https://bit.ly/3Tfmrmu

Show HN: I'm making an AI scraper called FetchFox Hi! I'm Marcell, and I'm working on FetchFox ( https://bit.ly/3z8t1En ). It's a Chrome extension that lets you use AI to scrape any website for any data. I'd love to get your feedback. Here's a quick demo showing how you can use it to scrape leads from an auto dealer directory. What's cool is that it scrapes non-uniform pages, which is quite hard to do with "traditional" scrapers: https://youtu.be/wPbyPSFsqzA A little background: I've written lots and lots of scrapers over the last 10+ years. They're fun to write when they work, but the internet has changed in ways that make them harder to write. One change has been the increasing complexity of web pages due to SPAs and obfuscated CSS/HTML. I started experimenting with using ChatGPT to parse pages, and it's surprisingly effective. It can take the raw text and/or HTML of a page, and answer most scraping requests. And in addition to traditional scraping thigns like pulling out prices, it can extract subjective data, like summarizing the tone of an article. As an example, I used FetchFox to scrape Hacker News comment threads. I asked it for the number of comments, and also for a summary of the topic and tone of the articles. Here are the results: https://bit.ly/3AYS2Ci . You can see the prompt I used for this scrape here: https://bit.ly/3TjL1lZ Right now, the tool does a "two step" scrape. It starts with an initial page, (like LinkedIn) and looks for specific types of links on that page, (like links to software engineer profiles). It does this using an LLM, which receives a list of links from the page, and looks for the relevant ones. Then, it queues up each link for an individual scrape. It directs Chrome to visit the pages, get the text/HTML, and then analyze it using an LLM. There are options for how fast/slow to do the scrape. Some sites (like HN) are friendly, and you can scrape them very fast. For example here's me scraping Amazon with 50 tabs: https://bit.ly/47eVHZ5 . Other sites (like LinkedIn) have strong anti-scraping measures, so it's better to use the "1 foreground tab" option. This is slower, but it gives better results on those sites. The extension is 100% free forever if you use your OpenAI API key. It's also free "for now" with our backend server, but if that gets overloaded or too expensive we'll have to introduce a paid plan. Last thing, you can check out the code at https://bit.ly/3Xaog5i . Contributions welcome :) https://bit.ly/3z8t1En September 4, 2024 at 12:50AM

Show HN: Shelly – A pure and vanilla shell-like interface for the web https://bit.ly/3XtlNUK

Show HN: Shelly – A pure and vanilla shell-like interface for the web shelly is a shell-like inteface for the web made with pure and vanilla HTML, CSS and JavaScript. It's completely configurable and should run decently on any browser. https://bit.ly/4g76acZ September 3, 2024 at 09:43AM

Show HN: Papers from Today https://bit.ly/3MvkKxb

Show HN: Papers from Today https://bit.ly/3XtIqIE September 3, 2024 at 07:08AM