Show HN: TopicRadar – Track trending topics across HN, GitHub, ArXiv, and more https://bit.ly/4sNyuY2

Show HN: TopicRadar – Track trending topics across HN, GitHub, ArXiv, and more Hey HN! I built TopicRadar to solve a problem I had with staying on top of what's trending in AI/ML without checking 7+ sites daily. https://bit.ly/4b906AL What it does: - Aggregates from HackerNews, GitHub, arXiv, StackOverflow, Lobste.rs, Papers with Code, and Semantic Scholar - One-click presets: "Trending: AI & ML", "Trending: Startups", "Trending: Developer Tools" - Or track custom topics (e.g., "rust async", "transformer models") - Gets 150-175 results in under 5 minutes Built for the Apify $1M Challenge. It's free to try – just hit "Try for free" and use the default "AI & ML" preset. Would love feedback on what sources to add next or features you'd find useful! https://bit.ly/4b906AL January 20, 2026 at 03:47PM

Show HN: macOS native DAW with Git branching model https://bit.ly/4sQhznR

Show HN: macOS native DAW with Git branching model I am working on building (and have made my first prerelease) for a Digital Audio Workstation with git like branching version control. It's free for local use and paid for cloud syncing or collaboration. https://bit.ly/4jMDBDI January 21, 2026 at 01:05AM

Show HN: Automating Type Safety for Mission-Critical Industrial Systems https://bit.ly/49x8Cs7

Show HN: Automating Type Safety for Mission-Critical Industrial Systems https://bit.ly/4b3FmdA January 20, 2026 at 10:43PM

Show HN: E80: an 8-bit CPU in structural VHDL https://bit.ly/4pMdPAU

Show HN: E80: an 8-bit CPU in structural VHDL I built a new 8-bit CPU in VHDL from scratch (starting from the ISA). I felt that most educational soft-cores hide too much behind abstraction, eg. if I can do a+b with a single assignment that calls an optimized arithmetic library, then why did I learn the ripple carry adder in the first place ? And why did I learn flip flops if I can do all my control logic with a simple PROCESS statement like I would with a programming language ? Of course abstraction is the main selling point of HDLs, but would it work if I tried to keep strictly structural and rely on ieee.std_logic_1164 only ? Well, it did and it works nicely. No arithmetic libraries, no PROCESS except for the DFF component (obviously). Of course it's a bit of a "resource hog" compared to optimized cores, (eg. the RAM is build out of flip flops instead of a block ram that takes advantage of FPGA intermal memory) but you can actually trace every signal through the datapath as it happens. I also build an assembler in C99 without external libraries (please be forgiving, my code is very primitive I think). I bundled Sci1 (Scintilla), GHDL and GTKWave into a single installer so you can write assembly and see the waveforms immediately without having to spend hours configuring simulators. Currently Windows only, but at some point I'll have to do it on Linux too. I tested it on the Tang Primer 25K and Cyclone IV, and I included my Gowin, Quartus and Vivado projects files. That should make easy to run on your FPGA. Everything is under the GPL3. (Edit: I did not use AI. Not was it a waste of time for the VHDL because my design is too novel -- but even for beta testing it would waste my time because those LLMs are too well trained for x86/ARM and my flag logic draws from 6502/6800 and even my ripple carry adder doesn't flip the carry bit in subtraction. Point is -- AI couldn't help. It only kept complaining that my assembler's C code wasn't up to 2026 standards) https://bit.ly/3ZrvXoV January 17, 2026 at 10:39PM

Show HN: Artificial Ivy in the Browser https://bit.ly/4qCQ4Ne

Show HN: Artificial Ivy in the Browser This is just a goofy thing I cooked up over the weekend. It's kind of like a screensaver, but with more reading and sliders. (It's not terribly efficient, so expect phone batteries to take a hit!) https://bit.ly/4jRSVz8 January 20, 2026 at 04:14AM

Show HN: Whirligig – Tinder for Gigs https://bit.ly/4qZPc4G

Show HN: Whirligig – Tinder for Gigs https://bit.ly/4oRzecA January 19, 2026 at 11:33PM

Show HN: Pdfwithlove – PDF tools that run 100% locally (no uploads, no back end) https://bit.ly/4qYFBLB

Show HN: Pdfwithlove – PDF tools that run 100% locally (no uploads, no back end) Most PDF web tools make millions by uploading documents that never needed to leave your computer. pdfwithlove does the opposite: 1. 100% local processing 2. No uploads, no backend, no tracking Features include merge/split/edit/compress PDFs, watermarks & signatures, and image/HTML/Office → PDF conversion. https://bit.ly/3Z67TYV January 19, 2026 at 06:04AM

Show HN: AWS-doctor – A terminal-based AWS health check and cost optimizer in Go https://bit.ly/3NyXvGk

Show HN: AWS-doctor – A terminal-based AWS health check and cost optimizer in Go https://bit.ly/3NsbQED January 19, 2026 at 05:35AM

Show HN: Auto-switch keyboard layout per physical keyboard (Rust, Linux/KDE) https://bit.ly/49KHB3i

Show HN: Auto-switch keyboard layout per physical keyboard (Rust, Linux/KDE) https://bit.ly/4quHK1S January 19, 2026 at 01:16AM

Show HN: I quit coding years ago. AI brought me back https://bit.ly/49GCfWC

Show HN: I quit coding years ago. AI brought me back Quick background: I used to code. Studied it in school, wrote some projects, but eventually convinced myself I wasn't cut out for it. Too slow, too many bugs, imposter syndrome — the usual story. So I pivoted, ended up as an investment associate at an early-stage angel fund, and haven't written real code in years. Fast forward to now. I'm a Buffett nerd — big believer in compound interest as a mental model for life. I run compound interest calculations constantly. Not because I need to, but because watching numbers grow over 30-40 years keeps me patient when markets get wild. It's basically meditation for long-term investors. The problem? Every compound interest calculator online is terrible. Ugly interfaces, ads covering half the screen, can't customize compounding frequency properly, no year-by-year breakdowns. I've tried so many. They all suck. When vibe coding started blowing up, something clicked. Maybe I could actually build the calculators I wanted? I don't have to be a "real developer" anymore — I just need to describe what I want clearly. So I tried it. Two weeks and ~$100（Opus 4.5 thinking model） in API costs later: I somehow have 60+ calculators. Started with compound interest, naturally. Then thought "well, while I'm here..." and added mortgage, loan amortization, savings goals, retirement projections. Then it spiraled — BMI calculator, timezone converter, regex tester. Oops. The AI (I'm using Claude via Windsurf) handled the grunt work beautifully. I'd describe exactly what I wanted — "compound interest calculator with monthly/quarterly/yearly options, year-by-year breakdown table, recurring contribution support" — and it delivered. With validation, nice components, even tests. What I realized: my years away from coding weren't wasted. I still understood architecture, I still knew what good UX looked like, I still had domain expertise (financial math). I just couldn't type it all out efficiently. AI filled that gap perfectly. Vibe coding didn't make me a 10x engineer. But it gave me permission to build again. Ideas I've had for years suddenly feel achievable. That's honestly the bigger win for me. Stack: Next.js, React, TailwindCSS, shadcn/ui, four languages (EN/DE/FR/JA). The AI picked most of this when I said "modern and clean." Site's live at https://bit.ly/3NpNjA2 . The compound interest calculator is still my favorite page — finally exactly what I wanted. Curious if others have similar stories. Anyone else come back to building after stepping away? https://bit.ly/3NpNjA2 January 19, 2026 at 01:50AM

Show HN: WebGPU React Renderer Using Vello https://bit.ly/4pKI1ww

Show HN: WebGPU React Renderer Using Vello I've built a package to use Raph Levien's Vello as a blazing fast 2D renderer for React on WebGPU. It uses WASM to hook into the Rust code https://bit.ly/45jCR3b January 17, 2026 at 10:27PM

Show HN: Speed Miners – A tiny RTS resource mini-game https://bit.ly/4r3girW

Show HN: Speed Miners – A tiny RTS resource mini-game I've always loved RTS games and wanted to make a game similar for a long time. I thought I'd just try and build a mini / puzzle game around the resource gathering aspects of an RTS. Objective: You have a base at the center and you need to mine and "refine" all of the resources on the map in as short a time as possible. By default, the game will play automatically, but not optimally (moving and buying upgrades). You can disable that with the buttons. You can select drones and right click to move them to specific resources patches and buy upgrades as you earn upgrade points. I've implemented three different levels and some basic sounds. I used Phaser at the game library (first time using it). It won't work well on a mobile. https://bit.ly/4sLA7p7 January 17, 2026 at 10:40PM

Show HN: Building the ClassPass for coworking spaces, would love your thoughts https://bit.ly/4r1tk9p

Show HN: Building the ClassPass for coworking spaces, would love your thoughts Growing up in a family business focused on coworking and shared spaces, I saw that many people were looking for a coworking space to use for a day. They weren't ready to jump into a long-term agreement. So I created LANS to simplify coworking. Our platform allows users to buy a day pass to a coworking space in seconds. The process is simple: book your pass, arrive at the space, give your name at the front desk, and you're in. Where we are Live in San Francisco with several coworking partners. Recently started expanding beyond the Bay. 10K paid users in San Francisco. Day passes priced between $18 and $25. What we’re seeing Users often use this service. They rotate locations during the week to fit their needs and schedules. For spaces, it’s incremental usage and new foot traffic during the workday. Outside dense city centers, onboarding new spaces tends to be faster. Many suburban areas host nice boutique coworking spaces. But, they often miss a strong online presence. Day passes quickly appeal to both operators and users. What we’re working on Expanding to more cities. Adding supply while keeping quality consistent. Learning which product decisions actually improve repeat usage. Would love feedback from HN: Does this resonate with how you work today? Have you used coworking day passes before? Would you dump your coworking membership for this? https://bit.ly/4pIpSzm January 17, 2026 at 05:54AM

Show HN: Making Claude Code sessions link-shareable https://bit.ly/4qVwACZ

Show HN: Making Claude Code sessions link-shareable Hey HN! My name is Omkar Kovvali and I've been wanting to share my CC sessions with friends / save + access them easily,so I decided to make an MCP server to do so! /share -> Get a link /import -> resume a conversation in your Claude Code All shared sessions are automatically sanitized, removing api keys, tokens, and secrets. Give it a try following the Github/npm instructions linked below - would love feedback! https://bit.ly/4k44IKZ https://bit.ly/3NhPNR3 January 17, 2026 at 03:50AM

Show HN: Commander AI – Mac UI for Claude Code https://bit.ly/4qZCPpv

Show HN: Commander AI – Mac UI for Claude Code Hi HN, I built Commander, a UI for running multiple AI coding agents in parallel without living in terminal hell. As coding agents got better, I started trusting them with real work: features, end-to-end, refactors, tests. Naturally, I began running 1–3 at once. That’s when the CLI stopped scaling — too many terminals, lost context, scattered diffs. Commander fixes that. https://bit.ly/4qsi5H6 January 17, 2026 at 01:08AM

Show HN: Reversing YouTube’s “Most Replayed” Graph https://bit.ly/3NLBu7c

Show HN: Reversing YouTube’s “Most Replayed” Graph Hi HN, I recently noticed a recurring visual artifact in the "Most Replayed" heatmap on the YouTube player. The highest peaks were always surrounded by two dips. I got curious about why they were there, so I decided to reverse engineer the feature to find out. This post documents the deep dive. It starts with a system design recreation, reverse engineering the rendering code, and ends with the mathematics. This is also my first attempt at writing an interactive article. I would love to hear your thoughts on the investigation and the format. https://bit.ly/4qlpNm9 January 16, 2026 at 03:06AM

Show HN: Gambit, an open-source agent harness for building reliable AI agents https://bit.ly/4qVoWsg

Show HN: Gambit, an open-source agent harness for building reliable AI agents Hey HN! Wanted to show our open source agent harness called Gambit. If you’re not familiar, agent harnesses are sort of like an operating system for an agent... they handle tool calling, planning, context window management, and don’t require as much developer orchestration. Normally you might see an agent orchestration framework pipeline like: compute -> compute -> compute -> LLM -> compute -> compute -> LLM we invert this so with an agent harness, it’s more like: LLM -> LLM -> LLM -> compute -> LLM -> LLM -> compute -> LLM Essentially you describe each agent in either a self contained markdown file, or as a typescript program. Your root agent can bring in other agents as needed, and we create a typesafe way for you to define the interfaces between those agents. We call these decks. Agents can call agents, and each agent can be designed with whatever model params make sense for your task. Additionally, each step of the chain gets automatic evals, we call graders. A grader is another deck type… but it’s designed to evaluate and score conversations (or individual conversation turns). We also have test agents you can define on a deck-by-deck basis, that are designed to mimic scenarios your agent would face and generate synthetic data for either humans or graders to grade. Prior to Gambit, we had built an LLM based video editor, and we weren’t happy with the results, which is what brought us down this path of improving inference time LLM quality. We know it’s missing some obvious parts, but we wanted to get this out there to see how it could help people or start conversations. We’re really happy with how it’s working with some of our early design partners, and we think it’s a way to implement a lot of interesting applications: - Truly open source agents and assistants, where logic, code, and prompts can be easily shared with the community. - Rubric based grading to guarantee you (for instance) don’t leak PII accidentally - Spin up a usable bot in minutes and have Codex or Claude Code use our command line runner / graders to build a first version that is pretty good w/ very little human intervention. We’ll be around if ya’ll have any questions or thoughts. Thanks for checking us out! Walkthrough video: https://youtu.be/J_hQ2L_yy60 https://bit.ly/4sH6hST January 16, 2026 at 01:13AM

Show HN: Control what Claude can access using cloud-based decision table UIs https://bit.ly/4qwXTE8

Show HN: Control what Claude can access using cloud-based decision table UIs We’ve been building visual rule engines (clear interfaces + API endpoints that help map input data to a large number of outcomes) for a while and had the fun idea lately to see what happens when we use our decision table UI with Claude’s PreToolUse hook. The result is a surprisingly useful policy/gating layer– these tables let your team: - Write multi-factor, exception-friendly policies (e.g. deny rm -rf / when --force; allow cleanup only in node_modules; ask on network calls like curl/wget; block kubectl delete or SQL DROP, each with a clear reason) - Roll out policy changes instantly (mid-run, flip a risky operation from allow → ask; the next attempt across devs and agents is gated immediately– no git pull, agent restart, or coordination) - Adopt lightweight governance that survives churn (MCP/skills/etc): just add columns/rules as new tools and metadata show up - Get a quick central utility to understand which tools are being used, which tools get blocked most often, and why https://bit.ly/45fepjl January 15, 2026 at 07:21PM

Show HN: Visibility and Controls for Browser Agents https://bit.ly/49kG8BG

Show HN: Visibility and Controls for Browser Agents Hey HN! I’m Ashwin, co-founder of ContextFort ( https://bit.ly/4jMQnm0 ). We provide visibility and controls for AI browser agents like Claude in Chrome through an open-source browser extension. Browser agents are AI copilots that can autonomously navigate and take actions in your browser. They show up as standalone browsers (Comet, Atlas) or Chrome extensions (Claude). They’re especially useful in sites where search/API connectors don’t work well, like searching through Google Groups threads for a bug fix or pulling invoices from BILL.com. Anthropic released Claude CoWork yesterday, and in their launch video, they showcased their browser-use chromium extension: https://www.youtube.com/watch?v=UAmKyyZ-b9E But enterprise adoption is slow because of indirect prompt injection risks, about which Simon Willison has written in great detail in his blogs: https://bit.ly/3LDV7gR... . And before security teams can decide on guardrails, they need to know how employees are using browser agents to understand where the risks are. So, we reverse-engineered how the Claude in Chrome extension works and built a visibility layer that tracks agent sessions end-to-end. It detects when an AI agent takes control of the browser and records which pages it visited during a session and what it does on each page (what was clicked and where text was input). On top of that, we’ve also added simple controls for security teams to act on based on what the visibility layer captures: (1) Block specific actions on specific pages (e.g., prevent the agent from clicking “Submit” on email) (2) Block risky cross-site flows in a single session (e.g., block navigation to Atlassian after interacting with StackOverflow), or apply a stricter policy and block bringing any external context to Atlassian entirely. We demo all the above features here in this 2-minute YouTube video: https://www.youtube.com/watch?v=1YtEGVZKMeo You can try our browser extension here: https://bit.ly/4bFL19M Thrilled to share this with you and hear your comments! https://bit.ly/4jMQnm0 January 14, 2026 at 10:22AM

Show HN: IMSAI/Altair inspired microcomputer with web emulator https://bit.ly/3Nn6tXd

Show HN: IMSAI/Altair inspired microcomputer with web emulator I designed and built a physical replica of a 1970s-style front panel microcomputer with 25+ toggle switches, 16 LEDs, and an LCD display. The brain is a Raspberry Pi Pico running an Intel 8080 CPU emulator. The main twist: I decided to see how far I could get using Claude Code for the firmware. That and the web emulator were written almost entirely using Claude Code (Opus 4.5). I've kept the full prompt history here: https://bit.ly/3NjenRu.... It was able to create the emulator in just a few prompts! It really surprised me that it was able to make a WebAssembly version from the same code (compiled with emscripten) and get the physical layout of the panel from a given photo. It also created some simple working examples using 8086 instructions! Repository: https://bit.ly/3NdJzBF https://bit.ly/3NhAOqd January 15, 2026 at 02:57AM