{"generated_at":"2026-11-12T18:35:02.481Z","source":{"name":"Hacker News public API","url":"https://github.com/HackerNews/API","attribution":"Stories and comments are public Hacker News submissions by their respective authors. HackerHub is an independent reader, not affiliated with Y Combinator.","content_is_untrusted":true},"feed":"show","heat_definition":"Average comments per hour since posting, using a minimum age of 30 minutes. Colour levels 1–6 are ranked within the first batch of up to 30 active stories; 0 means no discussion. This is not recent comment velocity or a measure of accuracy.","batch_size":30,"returned":30,"stories":[{"id":50471281,"type":"story","title":"Show HN: Kapso – Iterative learning from enterprise data","url":null,"hn_url":"https://news.ycombinator.com/item?id=50471281","hackerhub_url":"https://hackerhub.site/stories/50471281","author":"alireza_msh","points":5,"comments_count":0,"created_at":"2026-11-12T17:51:23.000Z","average_comments_per_hour":0,"heat":0,"text":"Hey HN! We're Alireza and Majid building Leeroo (https://leeroo.com/). Previously we’ve built AI systems for products with millions of users, including at LinkedIn and Meta. We’re now focusing on building AI systems for enterprise data. Today, we're open-sourcing Kapso (https://github.com/Leeroo-AI/kapso), an engine that runs experiments, deploys the best solution, and learns from every run.\nThe nature of data work is iterative: investigate, form hypotheses, experiment, and improve based on what you learn. This bottom-up process is the only way to deliver meaningful outcomes quickly in large, messy enterprise data environments. Consultants gathering context in meetings or teams defining a business ontology upfront to fit into the data has no chance of execution, in quarters and sometimes years. An AI-native system should automate this process, compounding learning to each new investigation and implementation.\nFor instance, one of our enterprise projects was moving a company off its old data estate onto a lakehouse with more than 30 source-system families, thousands of tables and transformations, and hundreds of BI reports. No individual or AI agent knew how that data estate was connected and operated. The only way to learn it was to investigate the company's repos, dbt models, documentation, and data itself and propose hypotheses about the estate, run experiments, and learn from them, until we understand how each system behaves and under which conditions.\nThe iterative work goes beyond understanding how data and systems fit together, and the business operations. Building useful software is iterative too. Whether you’re optimizing a warehouse, building a lakehouse pipeline or predicting churn, you need to run experiments and learn what works best in that environment. As you deliver more projects, that know-how compounds, similar in principle to RL. RAGing documentation has little value until it has been tried in a specific environment and the consequences are learned. As with human engineering work, experimentation and learning should happen in a sandbox.\nWe built Kapso for this kind of work, you give it an objective and success criteria, and it works towards an optimum solution that can be deployed on your stack.\nYou can view a video walkthrough here: https://www.youtube.com/watch?v=W4FHlza1fRs\nHere’s how it works…\nKapso has a bank of lessons that are induced or deduced from the past experiments, and each carries a credence score, conditions on where it applies, and the evidence behind it. For each new experiment, an ideation module proposes ideas considering the earlier lessons, re-ranks them by expected return against the budget each would use, and sends the top-ranked ones to the implementor. Because the bank keeps learning from the past experiments in that environment, the proposed ideas are better suited to it than generic hypotheses from an LLM or RAG. Also, results of each experiment are verified by a verifier module that no experiment can access and cheat. As we’ve found when building such systems, sometimes the success criteria and evaluation tests need to be evolved. The experimentation modules can propose updates to the metrics and criteria for the verifier to approve or reject.\nAfter each run, learn() updates the bank of lessons’ scores and boundaries using the evidence from that run. Changes to the bank can also be A/B tested by running otherwise identical builds with the previous and updated banks. The bank is built on git, so you can share your experience with others, list the banks available to you, and update them (`kapso experience share/list/update` in CLI). The system is model-agnostic and coding-agent-agnostic.\nkapso.deploy(solution, target_stack) follows the same workflow, runs a shorter experimentation loop to adapt the best solution to the target stack (e.g. Docker, Modal, BentoCloud, LangGraph). Every domain has a harness to start from, you can write your own domain harness with /kapso:harness in the plugin or through CLI (kapso harness new <name>), and compound over that by running experimentations.\nWe ran it on some public benchmarks and live competitions, with the following results…\n- Predictive modelling on relational databases: first on RelBench, Kumo AI (now Nvidia) and Stanford's benchmark, ahead of the best tabular foundation model (https://star-project.stanford.edu/relbench/leaderboard/). This shows that keeping the learning in the harness-level can beat foundational table models. Updating a bank of lessons costs far less than retraining a tabular foundation model.\n- ML Engineering: First on OpenAI's MLE-bench at submission, still among the top open-source systems (https://github.com/openai/mle-bench/pull/107).\n- AI competitions: ahead of the best agent the ALE-Bench authors at Sakana AI reported, and running autonomously at the live International Olympiad in AI 2026, above all 471 human contestants and in the top three AI systems (https://ioai-official.org/ai-models-track/ioai%c2%b2-2026-re...).\nWe have a public bank for ML and Data at Leeroopedia (https://leeroopedia.com/): around 100k pages extracted by experimenting on papers and repos, about 6M requests a month, about 28% from AI agents.\nIf you are at a growing company with a complex data estate across multiple systems and functions, and your data and AI team is stretched, we would love to help!\nhttps://github.com/Leeroo-AI/kapso"},{"id":50471650,"type":"story","title":"Show HN: AgentRun – open-source, Self-improving Managed Agents","url":"https://github.com/Parcha-ai/agentrun/blob/main/README.md","hn_url":"https://news.ycombinator.com/item?id=50471650","hackerhub_url":"https://hackerhub.site/stories/50471650","author":"miguelrios","points":7,"comments_count":0,"created_at":"2026-11-12T18:15:48.000Z","average_comments_per_hour":0,"heat":0,"text":"We (GREP.AI, YC F26) are open-sourcing AgentRun and turning it into a full managed agents platform. Read more about it in this post: https://agentrun.ai/blog/introducing-agentrun-run-smarter-ag....\nIt includes what we originally built for our own agent harness:\n- Self-improving agents \n- Web-grounded workflows \n- A range of sandboxes and computer environments \n- Thousands of tools and integrations \n- Detailed analytics on how your agents behave\nYou can bring your own agent. AgentRun works with Pi, Claude Agents, Codex, OpenCode, and any other harness that supports ACP.\nYou can self-host it (see 1-click install on Render) with an OpenRouter key, or try the hosted version at console.agentrun.ai.\nWe’d love feedback, especially on the architecture (see README), or anything we may be missing to make it useful to you."},{"id":50467880,"type":"story","title":"Show HN: AI Red Lines – write down what would make you act on AI","url":"https://yourairedlines.com/","hn_url":"https://news.ycombinator.com/item?id=50467880","hackerhub_url":"https://hackerhub.site/stories/50467880","author":"ap11071","points":23,"comments_count":15,"created_at":"2026-11-12T14:31:21.000Z","average_comments_per_hour":3.6931963321771053,"heat":4,"text":""},{"id":50415379,"type":"story","title":"Show HN: Build a PC in 3D in the Browser","url":"https://www.buildcores.com/","hn_url":"https://news.ycombinator.com/item?id=50415379","hackerhub_url":"https://hackerhub.site/stories/50415379","author":"ozaiworld","points":41,"comments_count":14,"created_at":"2026-11-08T17:45:08.000Z","average_comments_per_hour":0.14458060223852978,"heat":1,"text":"I've been building this over the past few years. I left my job working on Google Earth to make a 3D PC builder. We have quite a few users so it's able to fund our team but I realized I never shared on HN!"},{"id":50470488,"type":"story","title":"Show HN: My $300 embroidery machine needed a subscription, so I built my own app","url":"https://github.com/simpsoka/zigzag","hn_url":"https://news.ycombinator.com/item?id=50470488","hackerhub_url":"https://hackerhub.site/stories/50470488","author":"simpsoka","points":10,"comments_count":0,"created_at":"2026-11-12T17:02:42.000Z","average_comments_per_hour":0,"heat":0,"text":""},{"id":50471297,"type":"story","title":"Show HN: Tatane, a 2-player card game where you build hands on a shared grid","url":"https://playtatane.com/","hn_url":"https://news.ycombinator.com/item?id=50471297","hackerhub_url":"https://hackerhub.site/stories/50471297","author":"dezmou","points":2,"comments_count":0,"created_at":"2026-11-12T17:53:11.000Z","average_comments_per_hour":0,"heat":0,"text":""},{"id":50469007,"type":"story","title":"Show HN: Fable52.games – Play and inspect Fable 5.2 single-file HTML games","url":"https://fable52.games/","hn_url":"https://news.ycombinator.com/item?id=50469007","hackerhub_url":"https://hackerhub.site/stories/50469007","author":"felixne","points":53,"comments_count":50,"created_at":"2026-11-12T15:30:01.000Z","average_comments_per_hour":16.21405288185116,"heat":6,"text":""},{"id":50470731,"type":"story","title":"Show HN: Rain Mail Multi Domain Temporary Email","url":"https://rainmail.xyz/","hn_url":"https://news.ycombinator.com/item?id=50470731","hackerhub_url":"https://hackerhub.site/stories/50470731","author":"BadBoyBubby","points":2,"comments_count":0,"created_at":"2026-11-12T17:17:17.000Z","average_comments_per_hour":0,"heat":0,"text":""},{"id":50470640,"type":"story","title":"Show HN: Mela Tycoon","url":"https://mela-tycoon.darshanpania.me/","hn_url":"https://news.ycombinator.com/item?id=50470640","hackerhub_url":"https://hackerhub.site/stories/50470640","author":"darshanpania","points":3,"comments_count":0,"created_at":"2026-11-12T17:11:08.000Z","average_comments_per_hour":0,"heat":0,"text":""},{"id":50441350,"type":"story","title":"Show HN: Aircad – Professional drafting and 3D modeling in the browser","url":"https://aircad.com/","hn_url":"https://news.ycombinator.com/item?id=50441350","hackerhub_url":"https://hackerhub.site/stories/50441350","author":"peetle","points":81,"comments_count":38,"created_at":"2026-11-10T15:01:19.000Z","average_comments_per_hour":0.7369757277638779,"heat":2,"text":"Aircad is a professional CAD system running in the browser with deep AI integration. It includes professional grade drafting and documentation tools, NURBS-based solid modeling, and a lot more. You can make professional quality design documents with it. It is all integrated behind a scripting API that can do anything you can do in the interface and also perform complex modeling operations efficiently. It reads and writes file formats like DXF, DWG, STEP, and 3DM.\nI built Aircad because I was frustrated with what was out there. Current CAD tools are expensive and slow to improve. New features barely move the needle. With Aircad, you have fast, powerful geometry tools for just about anything, from conceptual models to your final design.\nThe newer generation of web-based CAD isn’t comprehensive enough to complete a project or is slower than existing desktop products because it sends performance-sensitive work to a server (OnShape), or isn’t designed to scale to real work in a collaborative setting (many \"toy\" CAD tools).\nCurrent CAD collaboration workflows are fragile, costly, and complex. They’re file-based and separate the design artifacts (eg PDFs) from the source. Collaboration is often an expensive add-on that raises your subscription, is hard to learn, and feels unnatural. Aircad builds it in: version history, drawing comparison, forking, and realtime collaboration.\nAI in most CAD tools is tacked on as a plug-in instead of being deeply integrated, and those plug-ins are often inefficient, hard to adopt, and costly. Aircad has a built-in AI agent and a comprehensive scripting API with a stage-and-commit workflow, so you know exactly what is happening during a complex change. You can use AI to write new scripts and commands that extend Aircad with repeatable, shareable workflows."},{"id":50468901,"type":"story","title":"Show HN: I built a calendar app that gives each event its own to-do list","url":"https://apps.apple.com/ph/app/daily-planner-tasks-zesfy/id6479947874","hn_url":"https://news.ycombinator.com/item?id=50468901","hackerhub_url":"https://hackerhub.site/stories/50468901","author":"whereinside","points":3,"comments_count":0,"created_at":"2026-11-12T15:24:17.000Z","average_comments_per_hour":0,"heat":0,"text":""},{"id":50454625,"type":"story","title":"Show HN: Yogurt – Free, private, open-source alternative to Granola","url":"https://github.com/FrigadeHQ/yogurt","hn_url":"https://news.ycombinator.com/item?id=50454625","hackerhub_url":"https://hackerhub.site/stories/50454625","author":"brownrout","points":282,"comments_count":108,"created_at":"2026-11-11T15:33:06.000Z","average_comments_per_hour":3.9952122806435364,"heat":5,"text":"Hey HN, I’m Eric and I want to share an OSS project that I’ve been building in my free time. Yogurt is a free, MIT licensed desktop app that uses on-device AI models to transcribe, summarize, and chat with your meetings.\nHere's a quick demo video: https://www.youtube.com/watch?v=BFfbXAwRq98\nSimilar to Granola, Yogurt runs in the background and does not join your calls. But unlike Granola, Yogurt is open-source, free to use, and private. Your meeting transcripts, call recordings, and summaries never leave your computer.\nAs small OSS models have gotten faster and more powerful, Yogurt seemed like a pretty obvious win for privacy and cost conscious folks. You do not need a frontier model to summarize meeting notes or answer questions about them. And if you want to make your notes available to a frontier model, you can just share it with Anthropic, OpenAI, etc. directly via Yogurt’s local MCP server. There’s no need to use a paid cloud service as a middleman.\nI tried some of the most popular OSS note taking tools, and most were missing features like calendar integration, MCP server, etc. or required you to connect or create an account. And more than that, they didn’t feel polished enough for it to be something I actually wanted to use daily, and so I built Yogurt to scratch that itch. I spent a lot of time fine-tuning every UI interaction/animation and optimizing the model calls to get the most out of your hardware + make it snappy.\nTo support Windows/Mac/Linux, I decided to go with Electron. I use whisper.cpp for transcription and Apple’s on-device SpeechAnalyzer if your system supports it. For call summaries and questions, I use a local open weight LLM that automatically gets downloaded and set up based on what your hardware can handle without your cooling fans firing off like crazy (this part uses llama.cpp).\nI’ve spent a lot of time working on details like echo detection/reduction, global/folder/local level search respectively, and auto-end recordings. Hope this is useful for any of you who have held out on using AI note tools for privacy or cost reasons, or for folks using cloud tools who want to switch to something free and open source that still feels great to use.\nWould love to hear what you think about the onboarding and note taking experience :)"},{"id":50457230,"type":"story","title":"Show HN: I recreated Papers Please but you're deciding which YC startups to fund","url":"https://termsheetplease.com/","hn_url":"https://news.ycombinator.com/item?id=50457230","hackerhub_url":"https://hackerhub.site/stories/50457230","author":"bolau","points":234,"comments_count":92,"created_at":"2026-11-11T19:12:16.000Z","average_comments_per_hour":3.9350581854575837,"heat":5,"text":""},{"id":50469346,"type":"story","title":"Show HN: Flight Itinerary – plan multi-stop flight trips on a map","url":"https://flightitinerary.app/","hn_url":"https://news.ycombinator.com/item?id=50469346","hackerhub_url":"https://hackerhub.site/stories/50469346","author":"WebSpyder","points":3,"comments_count":0,"created_at":"2026-11-12T15:47:48.000Z","average_comments_per_hour":0,"heat":0,"text":""},{"id":50469227,"type":"story","title":"Show HN: Jarvis Live – open-source voice agent that runs on your own computer","url":"https://github.com/samukbg/Jarvis-Live","hn_url":"https://news.ycombinator.com/item?id=50469227","hackerhub_url":"https://hackerhub.site/stories/50469227","author":"spreadoutai","points":2,"comments_count":0,"created_at":"2026-11-12T15:41:45.000Z","average_comments_per_hour":0,"heat":0,"text":""},{"id":50469196,"type":"story","title":"Show HN: TPS – My highly productive agent manager","url":"https://github.com/vanviegen/tps#tps","hn_url":"https://news.ycombinator.com/item?id=50469196","hackerhub_url":"https://hackerhub.site/stories/50469196","author":"vanviegen","points":2,"comments_count":1,"created_at":"2026-11-12T15:40:21.000Z","average_comments_per_hour":0.3434629133057001,"heat":1,"text":"I know, everybody and their dog has created an agent manager by now, but I think mine is particularly awesome:\n- It runs an agent per task in a Podman container that it can customize itself.\n- It embeds a VS Code per task (running in the container), so I can review code or do some manual labor without getting lost in a sea of windows.\n- It allows you to organize your tasks on a Kanban board.\n- It supports running agents on other machines over SSH. You can close your laptop.\n- It allows running services and exposing their ports to your localhost (even over SSH), for testing changes to web apps.\n- It optionally manages squashing, rebasing, merging, testing and deployment.\n- It's very flexible with tasks: forked tasks, scheduled tasks, follow-ups on already-merged tasks, tasks awaiting other tasks, one-of tasks that are not attached to a project, tasks created by other tasks.\n- It allows you to provide tasks with OpenRouter budgets for consulting other models (like audio, video, images).\nI've just recorded a demo walk-through video. I'd be very happy to receive any feedback!"},{"id":50468977,"type":"story","title":"Show HN: Bringing Pulumi's 20x faster journaling to DIY back ends","url":"https://github.com/ebrake/pulumi-journaling","hn_url":"https://news.ycombinator.com/item?id=50468977","hackerhub_url":"https://hackerhub.site/stories/50468977","author":"unconscionable","points":2,"comments_count":0,"created_at":"2026-11-12T15:27:50.000Z","average_comments_per_hour":0,"heat":0,"text":"Hey HN! I created a fork of pulumi to explore how we can bring Pulumi's state-journaling architecture to DIY and self-hosted state backends. It's available at https://github.com/ebrake/pulumi-journaling\nBackground: Pulumi recently detailed their journaling architecture (https://www.pulumi.com/blog/journaling/), which changes how state snapshots are synced. Instead of uploading a massive full state snapshot on every operation (which gets sluggish for large stacks), it streams incremental state operations in parallel, achieving up to 20x speedups.\nJournaling optimization has historically been tied to Pulumi Cloud. This repo brings similar state journaling and crash-recovery mechanics (like tracking epoch manifests) that works for file/S3/DIY backends.\nI measured these timings against standard OSS pulumi using a GCS rapid bucket (https://docs.cloud.google.com/storage/docs/rapid/rapid-bucke...) which has low latency and is inexpensive given the amount of storage usage with a state bucket. Speedups become more effective the more resources you have.\n\n Resources | Updated | Without journaling | With journaling | Speedup\n\n ----------+---------+--------------------+-----------------+--------\n\n 24 | 15 | 19.66 | 1.69 | 11.6x\n\n 91 | 50 | 71.36 | 2.12 | 33.7x\n\n 152 | 50 | 70.97 | 1.91 | 37.1x\n\nWould love feedback from anyone else working on IaC state management, concurrency, or crash recovery patterns!"},{"id":50468886,"type":"story","title":"Show HN: Senku, an AI agent that can control your phone in background","url":"https://www.heysenku.com/","hn_url":"https://news.ycombinator.com/item?id=50468886","hackerhub_url":"https://hackerhub.site/stories/50468886","author":"steve_aldrin","points":2,"comments_count":0,"created_at":"2026-11-12T15:23:06.000Z","average_comments_per_hour":0,"heat":0,"text":"I built an ai agent that can control your phone in background\nI have been trying out personal agents that work on cloud and it has been a pain to give my session details (like otp) every single time.\nwith amazon blocking personal agents, i thought it would be pretty cool if an agent can use my phone and do tasks for me in background\nso, i decided to build one for android devices.\nit currently uses wireless debugging to make a virtual display and open apps in background.\nwould love to know what you guys think! you can try it out downloading apk from heysenku.com"},{"id":50468500,"type":"story","title":"Show HN: Agent-roast – Catches coding agents that weaken tests to get CI green","url":"https://github.com/Nari-Ab/agent-roast/","hn_url":"https://news.ycombinator.com/item?id=50468500","hackerhub_url":"https://hackerhub.site/stories/50468500","author":"Nari_Ab","points":3,"comments_count":0,"created_at":"2026-11-12T15:03:06.000Z","average_comments_per_hour":0,"heat":0,"text":""},{"id":50468456,"type":"story","title":"Show HN: ScarScript – A statically typed language built in Go","url":"https://github.com/ScarfazeCompany/scar-script","hn_url":"https://news.ycombinator.com/item?id=50468456","hackerhub_url":"https://hackerhub.site/stories/50468456","author":"aimabaig","points":2,"comments_count":0,"created_at":"2026-11-12T15:00:44.000Z","average_comments_per_hour":0,"heat":0,"text":""},{"id":50468374,"type":"story","title":"Show HN: Interactive HDR and Wide-Gamut WebGPU Planetary Elevation Visualization","url":"https://agaura.github.io/elevation_atlas/index.html","hn_url":"https://news.ycombinator.com/item?id=50468374","hackerhub_url":"https://hackerhub.site/stories/50468374","author":"clubers","points":2,"comments_count":0,"created_at":"2026-11-12T14:56:53.000Z","average_comments_per_hour":0,"heat":0,"text":"Built an elevation map visualization which includes data for the Earth, the Moon, and Mars. Makes use of rendering to device pixels instead of CSS pixels so it visualizes densely and crisply on capable displays, and most notably, renders in WebGPU and outputs in HDR and P3 with custom color maps so the visualization looks particularly vibrant. HDR and wide-gamut support varies by display, but at least should work well on recent iPhone and MacBook Pro models on Chrome or Safari for example.\nAs a note: this visualization was actually built more as a way to explore HDR and wide-gamut color maps rather than to explore elevation, as I think using HDR for visualization is underexplored. As such, I recommend playing around with the various color maps and highlight features to see some of the advantages of HDR and P3 in a visualization context. Try hovering over the color map itself, it’s interactive as well :). Here is a good sample spot to experiment with (the Tibesti mountains of Chad and Libya): https://agaura.github.io/elevation_atlas/index.html#7.7969/0..."},{"id":50468121,"type":"story","title":"Show HN: Turri – a coding agent with the power of regenerative software","url":"https://github.com/turri-oss/turri","hn_url":"https://news.ycombinator.com/item?id=50468121","hackerhub_url":"https://hackerhub.site/stories/50468121","author":"ponoru","points":7,"comments_count":9,"created_at":"2026-11-12T14:43:35.000Z","average_comments_per_hour":2.3330364952524216,"heat":4,"text":"Coding agents let me move fast. To keep up, I stopped reading the code, and with it I stopped understanding my own software. I lost my sense of engineering along with it. I was still the one accountable for software I didn't understand. No workflow or better model fixed that, so I built turri.\nturri is based on Pi and the concept of regenerative software introduced by Chad Fowler. The ability to regenerate the same piece of code multiple times and always get the same results in terms of functionality is called the deletion test and proves that your coding agent completely understands you. The idea is that every time part of the software needs to be changed, you regenerate a new version of the code based on the durable information you have about the system.\nThe durable system information includes specs, tests, ADRs, and other types of documents, and it is written in ***plain. You write these with the help of an agent, and Turri starts partial regeneration of the software you're changing. You can repeat this process as many times as you want until you're happy with the change you're implementing. The regeneration also includes proofs that the generated code completely conforms to the system knowledge on which it was based (it implements all the tests that are part of the definition and automatically adds additional tests).\nYou can try this by cloning the repo or by installing it from my landing page. I created a desktop app to improve usability. Currently, it's only suitable for new projects, but I'm working on adding support for existing projects.\nI also wrote the full story in case you're interested: https://turri.dev/blog/why-i-built-turri/"},{"id":50467571,"type":"story","title":"Show HN: Datatomcp – AI agents propose business definitions, a person approves","url":"https://datatomcp.com/","hn_url":"https://news.ycombinator.com/item?id=50467571","hackerhub_url":"https://hackerhub.site/stories/50467571","author":"Killian1603","points":3,"comments_count":0,"created_at":"2026-11-12T14:16:53.000Z","average_comments_per_hour":0,"heat":0,"text":""},{"id":50467472,"type":"story","title":"Show HN: MacRun, dedicated Mac Minis you can rent by the day","url":"https://macrun.dev/","hn_url":"https://news.ycombinator.com/item?id=50467472","hackerhub_url":"https://hackerhub.site/stories/50467472","author":"xoail","points":2,"comments_count":0,"created_at":"2026-11-12T14:13:04.000Z","average_comments_per_hour":0,"heat":0,"text":""},{"id":50467355,"type":"story","title":"Show HN: Applygate, stop coding agents from running Terraform destroy in prod","url":"https://github.com/Flurit/applygate","hn_url":"https://news.ycombinator.com/item?id=50467355","hackerhub_url":"https://hackerhub.site/stories/50467355","author":"sumantth","points":3,"comments_count":0,"created_at":"2026-11-12T14:08:47.000Z","average_comments_per_hour":0,"heat":0,"text":""},{"id":50453229,"type":"story","title":"Show HN: Godbolt-in-a-floating-window for Neovim (C, C++, Rust)","url":"https://github.com/0xdeadf1sh/AssemblyForNeovim","hn_url":"https://news.ycombinator.com/item?id=50453229","hackerhub_url":"https://hackerhub.site/stories/50453229","author":"0xdeadf1sh","points":103,"comments_count":19,"created_at":"2026-11-11T13:34:24.000Z","average_comments_per_hour":0.6549310114921623,"heat":2,"text":"No internet connection needed. Uses a locally-installed compiler for assembly generation."},{"id":50449891,"type":"story","title":"Show HN: Black Ops II statically recompiled to native ARM64 macOS","url":"https://github.com/adrbn/bo2-mac","hn_url":"https://news.ycombinator.com/item?id=50449891","hackerhub_url":"https://hackerhub.site/stories/50449891","author":"adrbn","points":148,"comments_count":65,"created_at":"2026-11-11T04:56:47.000Z","average_comments_per_hour":1.7269948656080436,"heat":3,"text":"I grew up with Black Ops 2 and wanted to see if I could make it work on my 2020 MacBook Pro. So I used Claude Opus 5.5 to create a tool that converts your copy of the game (from Steam) to a native ARM64 Mac app, with almost 60fps in all areas. The whole game is statically recompilated ahead-of-time (AOT) and does not use any emulator whatsoever, be it Wine, Crossover or Rosetta. The best thing is the performance, although some heat issues are still to fix. You get to play the whole Campaign, local Multiplayer (with bots) and local Zombies (all DLCs maps; you need to have them in your Steam library obviously) at about 60fps. Split-screen was not in the PC version, but I've been working on it lately; it's coming soon! LAN mode is on the roadmap for later too :)"},{"id":50467013,"type":"story","title":"Show HN: Sextant, one command to tune Firefox and Chrome with admin policies","url":"https://github.com/tatsuikeda/sextant","hn_url":"https://news.ycombinator.com/item?id=50467013","hackerhub_url":"https://hackerhub.site/stories/50467013","author":"tatsuikeda","points":2,"comments_count":0,"created_at":"2026-11-12T13:47:03.000Z","average_comments_per_hour":0,"heat":0,"text":""},{"id":50467012,"type":"story","title":"Show HN: Silos, An open source (MIT) CLI sandbox orchestrator for local agents","url":"https://github.com/SilosLabs/silo-cli","hn_url":"https://news.ycombinator.com/item?id=50467012","hackerhub_url":"https://hackerhub.site/stories/50467012","author":"AsDivyansh","points":4,"comments_count":0,"created_at":"2026-11-12T13:47:02.000Z","average_comments_per_hour":0,"heat":0,"text":""},{"id":50466659,"type":"story","title":"Show HN: Leafpress- a static site generator for digital gardens","url":"https://leafpress.in/","hn_url":"https://news.ycombinator.com/item?id=50466659","hackerhub_url":"https://hackerhub.site/stories/50466659","author":"shivamx96","points":2,"comments_count":0,"created_at":"2026-11-12T13:16:37.000Z","average_comments_per_hour":0,"heat":0,"text":"leafpress is a modern, minimalistic, opinionated static-site generator for digital gardeners like me. It allows wrapping over any existing folder of MD files and quickly generate website from it. Common markdown and Obsidian-specific syntax/features are supported.\nIt offers decent amount of UI configurability with a JSON-based config file that allows tweaking colours, fonts, navigation, etc. It’s also much faster than most of the SSGs out there.\nI built this because I was more or less irritated with all the tools out there for this- all of them needed either too much configuration and extra work to support full needs of a digital garden."}]}