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Saturday, August 23, 2025
Show HN: CopyMagic – The smartest clipboard manager for macOS https://ift.tt/iNXxKWE
Show HN: CopyMagic – The smartest clipboard manager for macOS It’s been one month since I launched CopyMagic, a smarter clipboard manager for macOS that makes sure you never lose anything you copy. Instead of digging through endless items, you can type things like “URL from Slack”, “flight information”, or “crypto rate” and it instantly finds what you meant. It’s all completely offline and privacy-first (we don’t even track analytics). https://copymagic.app August 23, 2025 at 12:58AM
Show HN: Open-source web browser with GPT-OSS https://ift.tt/z3mQXkJ
Show HN: Open-source web browser with GPT-OSS Hi HN – we're the founders of BrowserOS.com (YC S24), and we're building an open-source agentic web browser. We're a fork of Chromium and our goal is to let non-developers create and run useful agents locally on their browser. --- When we launched a month ago, we thought we had the right approach: a "one-shot" agent where you give it a high-level task like "order toothpaste from Amazon," and it would figure out the plan and execute it. But we quickly ran into a problem that we've been struggling with ever since: the user experience was completely hit-or-miss. Sometimes it worked like magic, but other times the agent would get stuck, generate a wrong plan, or just wander off course. It wasn't reliable enough for anyone to trust it. This forced us to go back to the drawing board and question the UX. We spent the last few weeks experimenting with three different ways a user could build an agent: A) Drag-and-drop workflows: Similar to tools like n8n. This approach creates very reliable agents, but we found that the interface felt complex and intimidating for new users. One tester (my wife) said: "This is more work than just doing the task myself." Building a simple workflow took 20+ minutes of configuration. B) The "one-shot" agents: This was our starting point. You give the agent a high-level goal and it does the rest. It feels magical when it works, but it's brittle, and smaller local models really struggle to create good plans on their own. C) Plan-follower agents: A middle ground where a human provides a simple, high-level plan in natural language, and the LLM executes each step. The LLM doesn't have to plan; it just has to follow instructions, like a junior employee. --- After building and trying all three, we've landed on C) as the best trade-off between reliability and ease of use. Here's the demo https://youtu.be/ulTjRMCGJzQ For example, instead of just saying "order toothpaste," the user provides a simple plan: 1. Navigate to Amazon 2. Search for Sensodyne toothpaste 3. Select 1 pack of Sensodyne toothpaste from the results 4. Add the selected toothpaste to the cart 5. Proceed to checkout 6. Verify that there is only one item in the cart. If there is more than one item, alert me 7. Finally place the order With this guidance, our success rate jumped from 30% to ~80%, even with local models. The trade-off: users spend 30 seconds writing a plan instead of just stating a goal. But they get reliability in return. Note that our agent builder gives a good starting plan, and then the user has to just edit/customize it. --- You can try out our agent builder and let us know what you think. We're big proponents of privacy, so we have first-class support for local LLMs. You can try GPT-OSS via Ollama or LMStudio and it works great! I'll be hanging around here most of the day, happy to answer any questions! https://ift.tt/k1t2wSQ August 22, 2025 at 10:57PM
Friday, August 22, 2025
Show HN: Chat with Your Wearables Data https://ift.tt/q09hRk8
Show HN: Chat with Your Wearables Data https://ift.tt/ZCtPB8e August 22, 2025 at 01:52AM
Show HN: Playing Piano with Prime Numbers https://ift.tt/Z2NBC53
Show HN: Playing Piano with Prime Numbers I decided to turn prime numbers into a mini piano and see what kind of music they could make. Inspired by: https://ift.tt/aJrVRSW Github: https://ift.tt/z5ijbJ6 https://ift.tt/ku3K6Ow August 18, 2025 at 08:44PM
Show HN: Tool shows UK properties matching group commute/time preferences https://ift.tt/E6KJSb0
Show HN: Tool shows UK properties matching group commute/time preferences I came up with this idea when I was looking to move to London with a friend. I quickly learned how frustrating it is to trial-and-error housing options for days on end, just to be denied after days of searching due to some grotesque counteroffer. To add to this, finding properties that meet the budgets, commuting preferences and work locations of everyone in a group is a Sisyphean task - it often ends in failure, with somebody exceeding their original budget or somebody dropping out. To solve this I built a tool ( https://closemove.com/ ) that: - lets you enter between 1-6 people’s workplaces, budgets, and maximum commute times - filters public rental listings and only shows the ones that satisfy everyone’s constraints - shows results in either a list or map view No sign-up/validation required at present. Currently UK only, but please let me know if you'd want me to expand this to your city/country. This currently works best in London (with walking, cycling, driving and public transport links connected), and works decently in the rest of the UK (walking, cycling, driving only). This started as a side project and it still needs improvement. I’d appreciate any feedback! https://closemove.com August 21, 2025 at 12:29AM
Thursday, August 21, 2025
Show HN: PlutoPrint – Generate Beautiful PDFs and PNGs from HTML with Python https://ift.tt/8nBt5IR
Show HN: PlutoPrint – Generate Beautiful PDFs and PNGs from HTML with Python Hi everyone, I built PlutoPrint because I needed a simple way to generate beautiful PDFs and images directly from HTML with Python. Most of the tools I tried felt heavy, tricky to set up, or produced results that didn’t look great, so I wanted something lightweight, modern, and fast. PlutoPrint is built on top of PlutoBook’s rendering engine, which is designed for paged media, and then wrapped with a Python API that makes it easy to turn HTML or XML into crisp PDFs and PNGs. I’ve used it for things like invoices, reports, tickets, and even snapshots, and it can also integrate with Matplotlib to render charts directly into documents. I’d be glad to hear what you think. If you’ve ever had to wrestle with generating PDFs or images from HTML, I hope this feels like a smoother option. Feedback, ideas, or even just impressions are all very welcome, and I’d love to learn how PlutoPrint could be more useful for you. https://ift.tt/vuI0B4Y August 21, 2025 at 02:07AM
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Show HN: ReadMyMRI DICOM native preprocessor with multi model consensus/ML pipes https://ift.tt/H4txQBC
Show HN: ReadMyMRI DICOM native preprocessor with multi model consensus/ML pipes I'm building ReadMyMRI to solve a problem I kept runnin...
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Show HN: An AI logo generator that can also generate SVG logos Hey everyone, I've spent the past 2 weeks building an AI logo generator, ...
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Breaking #FoxNews Alert : Number of dead rises after devastating tornadoes, Kentucky governor announces — R Karthickeyan (@RKarthickeyan1)...
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Show HN: Snap Scope – Visualize Lens Focal Length Distribution from EXIF Data https://ift.tt/yrqHZtDShow HN: Snap Scope – Visualize Lens Focal Length Distribution from EXIF Data Hey HN, I built this tool because I wanted to understand which...