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Show HN: Crisp – Open-source display manager for macOS (DDC, HiDPI, presets) https://ift.tt/T06d9Gm

Show HN: Crisp – Open-source display manager for macOS (DDC, HiDPI, presets) I recently bought a new 1440p monitor and connected it to my mac, but at native resolution the UI felt so tiny and unfamiliar. I'm fairly new to mac in general so I checked my options for scaling, but quickly learnt (afaik) that this wasn't a thing for external monitors. I found some options in BetterDisplay and Lunar, but it felt stupid to pay for a feature that should be included. FreeDisplay seemed like the perfect option, but when I tried it on my mac it didn't work for me. Development seemed stale so rather than adding a PR, I forked it and fixed it. After that I wanted to do some changes and add some features, which suddenly ended up in a full rewrite. It covers the thing I initially wanted, which was HiDPI, but I also wanted it to look native, so I added some native elements. I kept the display arranger and fixed a lot of the issues with e.g. auto and combined brightness, profiles for the mo...

Show HN: Flow Matching model inference in C https://ift.tt/fPqmy1j

Show HN: Flow Matching model inference in C As the title and description of the GitHub repo suggest, I’m working on a small project for purely educational purposes, with the goal of implementing generative model inference (small models capable of modeling 2D distributions) based on the Flow Matching paradigm in C. I’ve worked on generative AI models based on Flow Matching from a more “abstract” perspective, using frameworks like PyTorch, and I wanted to understand what goes on behind the scenes. The repository is still a work in progress and is also one of my first "serious" projects in C. https://ift.tt/iZa2Hop July 24, 2026 at 12:01AM

Show HN: Claude-thermos – keeps your Claude session warm for you https://ift.tt/hQAmRbL

Show HN: Claude-thermos – keeps your Claude session warm for you https://ift.tt/lPKpL0t July 24, 2026 at 12:06AM

Show HN: Brew doctor` for Skills and MCP loadouts https://ift.tt/tfsqQGM

Show HN: Brew doctor` for Skills and MCP loadouts Recently, I've had agents reach for the wrong skill or tool. This tends to happen in the middle of longer reasoning chains, which frustratingly means lots of chatter polluting the context before a correction can be issued. To chase these issues down, I built `drskill`: a CLI tool that checks for conflicts and security issues among your agent's Skill and MCP loadout. In addition to spotting conflicts that might trip up your agents, security alerts were added as well. Did an MCP provider silently add a tool due to a supply chain attack? Running `drskill` on bootup or during CI will flag those changes. `drskill` works without access to an LLM, though connecting it to one will yield better conflict reports and allows for suggesting alternate, non-clashing descriptors. A ledger is maintained globally and locally, tracking acknowledgements and preferences. This is the type of tool that heavily benefits from contributions (your loadout...

Show HN: Adversarial code review setup with herdr, Claude and GPT-5.6-sol https://ift.tt/rXpGzy5

Show HN: Adversarial code review setup with herdr, Claude and GPT-5.6-sol https://ift.tt/ZcafhPB July 21, 2026 at 10:51PM

Show HN: Cross-Harness self hosted registry and analytics for AI Agents https://ift.tt/GL4DJiR

Show HN: Cross-Harness self hosted registry and analytics for AI Agents https://ift.tt/Hkuf9gQ July 21, 2026 at 11:57PM

Show HN: LectureToBook – Turn Videos into a PDF/ePub https://ift.tt/SNe5fTC

Show HN: LectureToBook – Turn Videos into a PDF/ePub Lecturetobook takes a video presentation and turns it into an editable document, with photos, diagrams, etc. extracted from your slides. I came up with this idea because I was enrolled in an online course and it was all videos. I spend all day long on the computer for work, so the last thing I want to do after work is spend more time staring at a screen. I wanted something that could take those videos and turn them into a readable format. The most difficult part was detecting what frames in the video are slides, and extracting from those what is useful content to add to the document. I didn't want to just stick a screengrab of the slides in the text, I wanted it to read like an actual book, so it uses an AI model to take from the slides what is useful and ignores what is just repeated in the transcript. Here is an output sample from an NIH video: https://ift.tt/tTamYrX Feedback welcome! This is my first side-project that has ma...