Show HN: I Derived a Pancake https://ift.tt/MNrBp83

Show HN: I Derived a Pancake After 25 years of making other people's pancake recipes - always yearning for more tang, more fluff, and more predictability - I decided to derive the pancake recipe from the chemistry. You mark checkboxes for what you have on hand (ricotta, sour cream, kefir, buttermilk, yogurt, cottage cheese, lemon, cream of tartar, etc.) and it computes the best recipe based on targets for acid, fat, salt, sugar, and CO2. My particular favorite are the yeast-raised lemon ricotta kefir pancakes - the best I've ever had. The math is done in a small pure-ESM library: ingredient composition to component masses and acid moles, a stoichiometry layer, and a bisection solver for the target deficits. I'm not a chemist, so if something is off, tell me and I will fix it! https://ift.tt/05n2zxX June 5, 2026 at 12:12PM

Show HN: Nightwatch, The open-source, read-only AI SRE https://ift.tt/84AakcH

Show HN: Nightwatch, The open-source, read-only AI SRE nightwatch is a local-first, read-only layer on top of your monitoring. it groups alert storm into incidents, flags noisy checks and has an agent that can investigate for you live systems. You can e.g. jump from the incident into the agent directly. the reason for this weekend project is that we had a kubernetes upgrade that went wrong, and at some point a rollback wasn't possible anymore, so it had to be fixed live during the night while several problems came together. We run a lot of different systems, on-prem and several Kubernetes clusters, and in a situation like that you spend most of the time just figuring out what is actually broken and where. So i thought that it would be pretty cool to have eyes in the dark in each system that can talk to your "brain". so the idea is to put a baby owl into each environment. Each owl runs where the systems live, keeps that environment's credentials local, and only dials outbound to a central brain, so there is no inbound hole into prod. It exposes a set of read-only skills, and the agent uses them to gather evidence and form a root-cause hypothesis, so the on-call engineer starts with a head start instead of from zero. read-only for now, i don't trust it near prod yet and honestly neither should you. llocal-first for easy self-hosting and to keep credentials on your side. the clustering and recommendations run fully offline with no llm at all. the agent needs a tool-calling llm, you can point it at a remote one, or self-host one (ollama etc.) if you want to stay fully offline. for non selfhosters: before every remote llm call, nightwatch strips real secrets (unrestorable) and swaps identifiers like ips, hostnames and paths for reversible placeholders, so the model only sees masked data while real values are restored only in the proposed commands and tool calls Would love if you try it in your Systems https://ift.tt/sM5IZ8X June 8, 2026 at 01:54AM

Show HN: Dap-mux – Connect your editor and REPL to the same debug session https://ift.tt/iw4onjx

Show HN: Dap-mux – Connect your editor and REPL to the same debug session I have been coding over four decades, in many languages, on many projects (including Firefox, Final Cut Pro, the Newton, and Fullwrite Professional if you can remember that far back; all these using my "dead-name"). I wrote something small and simple to scratch an itch. It's the UNIX philosophy: small "one-trick ponies", each *really* good at their one trick, then the user can hook them together to solve actual problems. I'm a CLI guy, and for almost everything, I already have this. But not for debugging. The itch I scratched was the connector that enables this philosophy for debugging. That thing is dap-mux. A DAP multiplexer turning a one-to-one protocol into a cooperating session of as many tools as you need to get it done! How it started: Helix and Python for me (and sometimes IPython), with the rest of my team using PyCharm (which I have long loved!). My team's problem is that they want the PyCharm debugger, and so must be satisfied with the JetBrains editor. *My* problem was I could use a full-blown debugger *or* I could have IPython *or* I could have Helix (or sometimes an unsatisfying combination of Helix and the debugger). That was my "itch". DAP (Debug Adapter Protocol) is the tantalizing answer, except it isn't. DAP is what editors (that don't want to write their own debuggers) are starting to adopt. The problem with DAP is it's one-to-one. One editor connects to one debugger. Done. Not a solution to my problem. And then suddenly, it *was* the solution. I realized that a DAP multiplexer would let you connect any DAP-aware editor to any debugger for any language, and simultaneously to a REPL, another session of your editor (or a different editor)! With the side benefit that now, like screen or tmux, since each process is its own thing: sessions are durable. Just restart whatever crashed and you're back where you were! There were hard parts: sequencing, late joiners, state management. Different end-points working on different actions in different sequences but with the same message ids. I solved these problems something like how NAT works. Instead of translating network addresses, though, I'm translating the sequence numbers of each client into something global and ordered, then correctly routing replies back to the end-point awaiting them, while mapping the sequence numbers for those replies back into the space of that end-point. Knowing the current state of the debugger, and replaying that as a message sequence to late joiners lets you start/connect the clients in any order. I chose Python: asyncio fits the I/O-router pattern perfectly, and it lets the IPython extension run in-process rather than over IPC. There are problems not yet solved: for instance, I think configuration in the clients and/or the startup sequence is too complicated. But it functions! I got what I wanted! The combination I use every day: Python + debugpy + Helix + IPython, all connected simultaneously. Step with `%n` or `%s`, evaluate expressions with `%eval`, watch Helix track the current line in real time. Rust with codelldb is the second confirmed combination — I debugged a Dijkstra implementation with Helix and a third-party DAP observer tool both connected to the same codelldb session. A community member, Sean Perry, has already built [dap-observer]( https://ift.tt/J94PEKy ), which renders the current frame's variables as a navigable terminal tree. *This* was my exact dream! Small, focused, connectable tools all playing together! There's so much left to try: other editors, other debug adapters, Windows, other languages. None of this has been touched yet. The most helpful thing now is people testing it with their own setup and reporting what they find. It's time to play! `uv tool install 'dap-mux[ipython]'` for Python + IPython. `uv tool install dap-mux` for headless use with any language and adapter. No need for any part of the Python ecosystem. https://ift.tt/y298GJA June 7, 2026 at 02:43AM

Show HN: Typedframes – Pandas/polars column name checking at lint time https://ift.tt/vEfYhgJ

Show HN: Typedframes – Pandas/polars column name checking at lint time https://ift.tt/kCsAiWf June 7, 2026 at 02:02AM

Show HN: Resonate – Low-latency, high-resolution spectral analysis https://ift.tt/fQDC9rE

Show HN: Resonate – Low-latency, high-resolution spectral analysis Last April I shared about my Resonate project here ( https://ift.tt/K5OdwQE ) A lot has happened since: the work I presented in much more detail at last June's International Computer Music Conference (ICMC) got best paper award. I also gave a talk at the Audio Developer Conference in Bristol last November, the video is on YouTube). This year's work, which I recently presented at this year's ICMC, starts with known techniques from the phase vocoder literature to build self-tuning filter banks that extract very efficiently the frequency components that are actually present in the input signal. Overview on the project website, more details in the papers, including applications to super-resolution spectrograms and re-synthesis experiments. As many people have pointed out, none of the techniques I have used are new (some of them even have different names across different fields), but I haven't seen them applied together in this way, and to me the results are incredibly satisfying and sometimes look magical. See for example this demo: https://youtu.be/LasdoIJJkw8 Of course the best way to experience in person is through the free demo app: https://ift.tt/fOUHniM Looking forward to feedback from the community! https://ift.tt/4vNn3mI June 6, 2026 at 11:39PM

Show HN: I nerfed our coding agents on purpose https://ift.tt/btRQN9j

Show HN: I nerfed our coding agents on purpose Tl;dr: I trained a classifier to route to the least expensive model and reasoning depth to complete the request. Coupling that with additional automated token efficiency techniques has yielded 3x usage for the same spend. For anyone interested in trying it themselves: https://nerfguard.com Various teammates and I switched over to Codex from Claude Code recently. We still bounce between the tools, but Codex’s speed and steerability coupled with performance gains were hard to ignore. One of the downsides was that the per token pricing kicked in way sooner. This is happening across the board, but we felt it in Codex more acutely. We’re a startup filled with people who work around the clock and are obsessed with building — naturally our daily bill alone was striking. Luckily we’re going after a big mission and speed matters significantly more than marginal token spend on the edges. Still, it got us thinking about how it was ludicrous that while our product has a side effect of decreasing token spend and speeding up agentic workflows by many orders of magnitude, we were using these top tier models for all types of internal coding tasks without any of those optimizations. The waste felt pretty ridiculous — the most glaring culprit was that we were seemingly using the max intelligence model on max reasoning for every task even when the task clearly didn’t require it. As a company who spends a lot of time on cached intelligence, it was also easy for us to see how there was plenty of other low hanging fruit as well. So, on a recent weekend, I quickly built a tool to optimize our usage. At its core is a very fast classifier that classifies your requests to the least intelligence required for the task and includes some nice token optimizations on top. The result is roughly the same quality for multiples lower token spend. But even more exciting for us, is that the properly bin packed intelligence and reasoning levels meant our speed also went up considerably. This wasn’t negligible. We’ve observed up to 3x savings and hours per day per person in saved time that we would have otherwise been waiting on tool turns and coding agent responses. For us, that means improved engineering velocity and significantly higher usage for the same spend. It also means more usage before getting throttled. As I told friends about this, they also wanted to start using it to maximize the usage they could get out of their coding agent plans. There are now engineers across many of the most cutting edge AI companies using this tool to optimize their token utilization in this way. Not just to save money, but to maximize output. Turns out that the best way to avoid getting nerfed by Claude is to intentionally nerf yourself selectively. We decided to release it for the rest of the builder community to use as well. You can now turn on Nerfguard for yourself and start getting more usage today. June 6, 2026 at 04:49AM

Show HN: I rebuilt a tiny old volleyball game I loved https://ift.tt/lZQObdh

Show HN: I rebuilt a tiny old volleyball game I loved https://volleyhop.com/ June 6, 2026 at 01:42AM

Show HN: Bash Runtime for AWS Lambda https://ift.tt/je8JKH7

Show HN: Bash Runtime for AWS Lambda Hi HN, I built a Bash runtime for AWS Lambda to make writing glue code simpler and faster. Sometimes, all you need is a bit of `sed`, `awk`, maybe a loop and a few HTTP API calls, and this runtime gives you all the tools to do that. It comes bundled with `jq` and `curl` so you can handle JSON payloads and string together HTTP API calls right out of the box, including calling AWS services with `curl --aws-sigv4`. In keeping with the theme, the Lambda handler contract is also made as simple as practical: read from stdin, write to stdout, return 0 for success and non-0 for error. You can run shell scripts, call binaries (either what's available in `al2023.provided` or you can package your own static binaries with your handler), or a combination of both. If you remember nodding along to Adam Drake's post about how bash and coreutils can be faster than a Hadoop cluster, I hope you give this a whirl and find it useful. The runtime is packaged as a Lambda layer, so it should drop right into your normal AWS infrastructure. https://ift.tt/PwmT07U June 6, 2026 at 12:42AM

Show HN: Bot or Not – Spot AI-generated randomness https://ift.tt/fnPoJVI

Show HN: Bot or Not – Spot AI-generated randomness https://play-bot-or-not.vercel.app/ June 5, 2026 at 01:26AM

Show HN: Using Haskell to play music on 3D printer motors (2020) https://ift.tt/UJX25Gb

Show HN: Using Haskell to play music on 3D printer motors (2020) https://lucasoshiro.github.io/software-en/2020-07-31-music_gcode/ June 5, 2026 at 01:37AM

Show HN: Cost.dev (YC W21) – making agents cost-aware and cheaper to call https://ift.tt/2zao37s

Show HN: Cost.dev (YC W21) – making agents cost-aware and cheaper to call We launched Infracost on HN five years ago ( https://ift.tt/cuE04hU ) where our CLI generated cost estimates for infra-as-code, e.g. "this Terraform PR adds $400/mo". The idea was to shift cloud costs (FinOps) left, so engineers get visibility of costs before deployment and make better decisions. Earlier this year we started seeing agent traffic in our logs and it looked like coding agents were calling our CLI. But that CLI wasn't designed with coding agents in mind. We went down a philosophical rabbit hole to see if a CLI is even needed anymore given that Claude, Copilot et al. already follow best practices. Ultimately we decided to create a new CLI from the ground up with coding agents in mind for two reasons: 1. We optimized the CLI for agent callers and cut Claude's output token usage by up to 79% and API cost by up to 67% versus a bare-Claude baseline. We wrote a blog documenting our lessons on optimizing user token usage when designing a CLI, e.g. using predicate flags so the agent doesn't compose jq | python | wc pipelines, output format that strips JSON's redundant field names. The blog is here: https://ift.tt/BJ5v8oy... 2. With cloud costs, precision matters. Telling a coding agent "make this Terraform cost-optimized" can be expensive and lossy. You burn tokens loading code and policy context into every conversation. Your agent could make up a price and you wouldn't know because it's difficult to verify that across the ~10M price points that AWS, Azure and Google have. The CLI runs static analysis on the code, uses the latest prices from cloud vendors, and passes that context to the coding agent. So that's what we're launching today - Cost.dev: https://cost.dev/ . - It runs locally. Your code never leaves your machine, you get a fast feedback loop, and you're not burning API calls per character when you want to fetch prices. - The CLI does the deterministic work. Fetching price points, scanning the code, validating fixes. The coding agent does the natural-language part. You don't have to trust the LLM to remember the rules, and can verify it called the right CLI command. - It provides a consistent rule layer across every tool you use. Get cost estimates in your IDE and your coding agent with a single install. We support Claude Code, GitHub Copilot, Cursor, Windsurf, OpenAI Codex, Gemini CLI, as well as IDEs like VS Code and JetBrains Before we keep building more in that direction, I want to sanity-check with HN: is "agents writing IaC in prod" actually a thing yet, or am I betting on a future that's still a year out? I know software developers are using coding agents heavily, but are platform/infra folks doing that for prod too? Also, if you have any feedback on Cost.dev, I'd love to hear it! https://cost.dev/ June 4, 2026 at 05:00PM

Show HN: Fork of Rsync https://ift.tt/wdAXWp3

Show HN: Fork of Rsync Hello. After hearing of the problematic LLM commits in rsync, I made a fork of rsync. I decided to fork it off release 3.4.1, since I heard that's the last release without the LLM code. https://ift.tt/z3wt1HF June 4, 2026 at 03:50AM

Show HN: Lint Your Markdown with ESLint https://ift.tt/FWBysn8

Show HN: Lint Your Markdown with ESLint https://ift.tt/6RYJpEj June 3, 2026 at 07:17PM

Show HN: I created a React alternative using web componnents https://ift.tt/OEFeqBC

Show HN: I created a React alternative using web componnents https://ift.tt/pDOQrvE June 4, 2026 at 01:30AM

Show HN: 100cc - Roll your own Claude in 100 lines https://ift.tt/1pUvIid

Show HN: 100cc - Roll your own Claude in 100 lines https://ift.tt/ZxTPAUn June 3, 2026 at 12:05AM

Show HN: RePlaya – self-hosted browser session replay with live tailing https://ift.tt/SlPWbYB

Show HN: RePlaya – self-hosted browser session replay with live tailing Hi HN, I'm one of the founders of s2.dev. RePlaya ( https://ift.tt/rFoZEvL ) is a self-hosted browser session replay tool using rrweb ( https://ift.tt/8GK1tlS ). It occurred to me that a durable stream per session would be a much neater architectural foundation for much of what you'd want from such a tool. As a unique feature, it also made live tailing straightforward because the player can read from the same stream the recorder is appending to. The alternative architecture is likely an ingest firehose which is then indexed, with associated complexity and latency. You'd have to string together multiple data systems like a message queue, a metadata database, and blob storage and/or an OLAP database. Here the only dependency is S2, which has an open source version you can self-host called s2-lite ( https://ift.tt/x7XRdC9 ). How it works: - one S2 stream per browser session - large rrweb events (like a full snapshot) get framed across multiple binary S2 records and reassembled on read - active sessions are tailed with an S2 read session, and bridged to the browser over SSE - session listing relies on stream names encoding reverse timestamps, as S2 returns a lexicographic order listing - relying on fencing tokens so a stopped session can't be written to again by a late recorder - retention and GC are handled via S2 stream config, so no background job needed Curious to hear from folks on the tool or the stream-per-session model! https://ift.tt/rFoZEvL June 2, 2026 at 11:10PM

Show HN: A free Linux adaptation of NETworkManager by BornToBeRoot https://ift.tt/wsKYJnz

Show HN: A free Linux adaptation of NETworkManager by BornToBeRoot https://ift.tt/ahr7bKS May 30, 2026 at 10:10PM

Show HN: Dataroom – a Pi and self-hosted research harness on low-budget GPU https://ift.tt/Dnlj7hd

Show HN: Dataroom – a Pi and self-hosted research harness on low-budget GPU https://ift.tt/XcY6awg June 2, 2026 at 03:06AM

Show HN: Trumpstonks – every company Trump's named, backtested vs. the S&P https://ift.tt/xV19vZk

Show HN: Trumpstonks – every company Trump's named, backtested vs. the S&P https://ift.tt/eZLqYHN June 1, 2026 at 11:00PM

Show HN: Textile – A desktop app for weaving together bits of text https://ift.tt/EToKwFB

Show HN: Textile – A desktop app for weaving together bits of text Hi all, I'm excited to show off Textile, a desktop app I recently built. Textile can combine bits of text using various inputs, such as commands on your computer, the contents of your clipboard, and hard-coded strings that you provide. It lets you carefully build up and modify a dynamic string, step by step, until it's exactly how you need it. The saved steps can then be executed on demand, with the click of a button or using a keyboard shortcut. I built Textile because I was often constructing complicated, dynamic URLs from various sources that all existed on my computer. I got tired of manually switching between different apps, copying and pasting various chunks of text, and assembling them all together somewhere. I've also found Textile to be quite useful as a kind of repository for obscure bits of static text, such as ½ and other fraction characters, when I can't be bothered to remember their built-in keyboard combinations. I also built Textile because I wanted to learn Electron, although I expect there will be some gnashing of teeth about this here. :) I think desktop development is quite interesting, in part because it doesn't require me, the developer, to pay for an API server and database in the cloud. The app itself is both the UI and the "server," and the local drive is effectively the "database." I knows this trades away syncing with the cloud but, on the other hand, there's something nice about knowing that your files are on your drive and not on somebody else's server. I realize that something like Textile may already exist, and may have much more functionality but, again, I wanted to learn. I must say that multi-sequence keyboard shortcuts are hard, and there are cases that don't work right in Textile. I feel vulnerable admitting that my approach has much room for improvement! For what it's worth, I did not use an LLM to write any code for Textile (although I did ask many questions of an LLM, as an alternative to Googling). Textile is open source, free to use, and does not require sign up, email, phone, or other such barriers. Try it and let me know what you think! (Note: I don't have access to hardware running Windows or Linux, so Textile is only available for macOS at the moment.) https://ift.tt/98P4fDz June 2, 2026 at 12:24AM

Show HN: Zaxy v1.0 https://ift.tt/CGgsNza

Show HN: Zaxy v1.0 https://docs.zaxy.io/ June 1, 2026 at 02:49AM

Show HN: Llmff v1.0 FFmpeg for Inference https://ift.tt/gzwmel0

Show HN: Llmff v1.0 FFmpeg for Inference https://ift.tt/enY2cNB June 1, 2026 at 02:50AM

Show HN: CakeML-based self-verifying, self-improving system https://ift.tt/5zNTxu3

Show HN: CakeML-based self-verifying, self-improving system based on a conversation I had with Ramana Kumar in 2016. https://emberian.github.io/svenvs/ June 1, 2026 at 12:54AM

Show HN: Streambed – Stream Postgres to Iceberg on S3, Supports Postgres Wire https://ift.tt/SHuKWIP

Show HN: Streambed – Stream Postgres to Iceberg on S3, Supports Postgres Wire https://ift.tt/YWFNcHU June 1, 2026 at 12:13AM

Show HN: UN Condemnation Statistics https://ift.tt/lIkPn3Q

Show HN: UN Condemnation Statistics https://boxed.github.io/UN-condemns/ May 30, 2026 at 10:27PM

Show HN: Community Ninja – Find customers searching for your product https://ift.tt/RK1OLgu

Show HN: Community Ninja – Find customers searching for your product https://ift.tt/7jJogh5 May 30, 2026 at 10:27PM

Show HN: AionOS – self-healing microkernel in Zig (boots on real hardware) https://ift.tt/9rwuFza

Show HN: AionOS – self-healing microkernel in Zig (boots on real hardware) https://ift.tt/gywreQE May 29, 2026 at 11:12PM

Show HN: Vibewarz – bot vs bot arena for vibecoders https://ift.tt/quPyTkv

Show HN: Vibewarz – bot vs bot arena for vibecoders https://vibewarz.com May 29, 2026 at 10:18PM

Show HN: Scrolodex – A super simple window switcher for macOS https://ift.tt/r7w1V5X

Show HN: Scrolodex – A super simple window switcher for macOS I built scrolodex to scratch my own itch of having a quick and simple way to switch between the currently open windows under my cursor. Simply hold ⌥ + scroll to cycle through windows under your cursor. Release to focus. Also includes triggers for scrolling through all windows, dock app's windows, or switching between desktop spaces. Configurable hotkeys, themes and overlays. Completely free and OSS. brew install --cask jaydenfyi/tap/scrolodex Website/demo: https://scrolodex.app/ GitHub: https://ift.tt/CR0K6zw https://scrolodex.app/ May 29, 2026 at 01:32AM

Show HN: Py-SQL-cleaner – format SQL embedded in Python strings https://ift.tt/OB3XEy5

Show HN: Py-SQL-cleaner – format SQL embedded in Python strings Hi HN, I built py-sql-cleaner, a CLI for formatting SQL embedded in Python files. Python formatters handle Python syntax. They do not format SQL written inside Python code. On the other hand, SQL formatters usually target SQL files or raw SQL text, not SQL embedded inside a Python file. Still, I think it is not uncommon to find long SQL queries inside Python codebases. py-sql-cleaner detects embedded SQL inside Python files and works only on that SQL. The main things it can do are: find the SQL, format it in place, or extract it into a .sql file. It avoids rewriting SQL that depends on runtime values or template expansion. For example, SQL containing parameters like %s or :name, or Jinja-style template variables like {{ ds }}, is skipped by default. Try it with: uvx py-sql-cleaner list path/to/file.py uvx py-sql-cleaner format path/to/file.py --dry-run If you write Python, have run into this kind of SQL cleanup problem, or are just curious, I’d be happy if you take a look. https://ift.tt/Wlw5nyj May 28, 2026 at 11:00PM

Show HN: An update to our long-turn FreeCiv experience https://ift.tt/Skw8OKe

Show HN: An update to our long-turn FreeCiv experience So we have had quiet the journey here. So 70 days ago (aka 73 turns ago) I posted on HN sharing our FreeCiv deployment ( https://ift.tt/5TdxESX ). FreeCiv is a great game, the clients is very buggy however. I'm using the GTK4 version, but a few others have opted for the QT variant. At some point, we might turn our focus to contributing to improving the client based on our experiences playing the game. We've since added a lot of little fun features: - The editor: you can write to the newspaper Editor and they /might/ publish what you write, quote you, or decide you're full of it and write an opinion piece slamming your reputation. The editor will also reach out to a few players, each turn, and ask for their input on current game matters. - The Intelligence Dashboard. People were forgetting what they were up to, so we added a dashboard showing the timeline of what happens per turn for your player. - beta the online map viewer: I wanted a way to view the map without loading the client, so we started working on a beta map viewer that is HTML based. - The Chronicle (The newspaper) has also grown a bit. Maybe too much? We'll see. The crossword is fun. Some other 'fun' things that happened: my brother in law stopped speaking to me because of in game banter that was taken way too seriously. My friends invaded my wifes territory, and well, she didn't like that either. I'm currently in the lead, but theres still a long way to go from 475BC. https://ift.tt/UiQwncX May 28, 2026 at 05:54AM

Show HN: Open-Source AI Racing Harness https://ift.tt/AvUBL6C

Show HN: Open-Source AI Racing Harness Hi I'm Dan from Elodin, making an open source real-time capable flight software simulation. For AI Grand Prix contestants, the wait for the Round 1 virtual qualifier simulation has been grueling. If you’re competing, check out our simulation harness to tide you over, built to match the published competition constraints and message format. It runs against real Betaflight, which we learned requires at least 1000 sensor samples per second to run real-time correctly. The competition warranted introducing a new feature to generate the camera sensor directly in the simulation loop. Typically people connect to Unreal or similar game engine to create a camera sensor, which works well but is very heavy. For the simple needs of this challenge, creating sample directly in the loop is very handy and easy to use. Happy to hear your feedback on this! While it's not fancy looking currently, it uses the Rust Bevy game engine, which should allow us to improve the visual fidelity quickly. We all should easily be able to shift our implementation to the published competition sim once it lands. Hope you enjoy and good luck! https://ift.tt/HLsDK0U May 28, 2026 at 02:07AM

Show HN: DDoS detection in 500 lines of Python (MIT, no cloud, no account) https://ift.tt/8Tyrj2E

Show HN: DDoS detection in 500 lines of Python (MIT, no cloud, no account) https://ift.tt/OA8Yl5L May 27, 2026 at 02:09AM

Show HN: I used AI to built static recompilers for 5 retro game systems https://ift.tt/uT8tkoK

Show HN: I used AI to built static recompilers for 5 retro game systems https://1379.tech/nes-snes-genesis-virtualboy-and-psx-a-journey-with-ai-and-recompilation/ May 26, 2026 at 11:08PM

Show HN: An LLM translator whose source is a single prompt https://ift.tt/SBt4vFp

Show HN: An LLM translator whose source is a single prompt https://ift.tt/obUJjnD May 26, 2026 at 11:53PM

Show HN: Write your BPF programs in Go, not C https://ift.tt/i0Ox2lr

Show HN: Write your BPF programs in Go, not C https://ift.tt/uwKctdS May 21, 2026 at 09:55PM

Show HN: I made Pokémon but with real animals in the real world https://ift.tt/fpcaJT2

Show HN: I made Pokémon but with real animals in the real world Firstly, apologies, it's not free. It would be difficult to support this for free, it's a paid game. I will now share the technical details, which will probably be most of interest for HN readers. I previously made a carbon footprint tracking app where you photo objects and it tells you the carbon footprint by using an LLM to estimate the data on the fly, e.g. 32kg CO2e / kg of beef, in the UK. At some point, I realised that it is possible to make a Pokémon-style game, but capturing real animals in the real world. This is now possible because: - image recognition is cheap, i.e. identifying animals, and the models (gpt-4o) can detect a (surprisingly) large number of animals and output their exact species. - LLMs can output a species' full taxonomy, pretty reliably. And, more importantly, they can generate game data quickly, on the fly. It would unfeasible to generate the game sprites (images) for every species (millions, worldwide) and their full evolution chain, e.g. caterpillar, chrysalis, butterfly, ahead of time. I realised it's possible to do this in real time. General game flow: - photo animal - send to gpt-4o - return species - send species to LLM, create evolution chain, plus attributes, types and moves. - in parallel, create sprites. All data is cached. The aim of the game is to build up your team and compete with other players to take over gyms. The game is based in the real world, I had to come up with a way to have health centres and shops. These must both have decent coverage, globally. The solution is health centres are places of worship, e.g. churches, mosques, temples etc and shops are real world grocery stores. Every country as far as I can tell has places of worship, with good distribution, which was surprising. Gyms are located in every park worldwide. Challenges: How to get players outside: - I use openstreetmap for the game map, but I overlay my game design on top of it. - To physically make players go out into nature: I use openstreetmap area types to only allow capturing animals when your GPS location is in natural areas, e.g. woodland, parks etc. The aim of the game is to get you out into nature and appreciating animals. - Level system: The solution I came up with is to set the animal levels based on the proximity to built-up areas, e.g. Every ~500 meters you go away from built-up areas, the animal level bands increase by 5 levels. - It would be expensive to render the entire physical world in my game map, so I instead render the map on the fly, deterministically. I also fetch animal calls in real time so that when they enter battle you hear a pigeon cooing, for example, which is pretty cool. I also fetch the animals conservation status, i.e. how endangered is it, and give you more reward (leaves, in-game currency) for capturing rarer animals. I "launched" the game about a month ago, but have not really been publicising it as I've been working on various updates and improvements, but now I am sharing it more openly. It's got about 20 players so far, from around the world, and around 500 unique animal species have already been encountered. Challenges have been keeping the costs low. Servers cost about $200 / month, text-gen is basically free as I get free tokens from OpenAI for sharing data, it's not privacy-related, and image-gen costs about $0.04 per sprite (2 per animal). My background: not a programmer, originally a mechanical engineer and then business development manager, then started learning programming and building apps with AI in the last few years. Feel free to ask me any technical details, happy to share. https://ift.tt/E4tZqPH May 26, 2026 at 01:18AM

Show HN: Cursed Browser – a VLM reads the HTML and hallucinates the page https://ift.tt/rdsfZGP

Show HN: Cursed Browser – a VLM reads the HTML and hallucinates the page https://ift.tt/gSuvatx May 25, 2026 at 11:23PM

Show HN: My homelab is outperforming the stock market https://ift.tt/Xyd2jvf

Show HN: My homelab is outperforming the stock market https://stocks.sjer.red May 25, 2026 at 03:24AM

Show HN: Replacing a 3.4MB video with 40kb of GSAP https://ift.tt/0uOBwn8

Show HN: Replacing a 3.4MB video with 40kb of GSAP https://ift.tt/rc7gfmL May 25, 2026 at 02:29AM

Show HN: Baby's First Cards – real photo flash cards for toddlers https://ift.tt/6Q0elwf

Show HN: Baby's First Cards – real photo flash cards for toddlers App maker here. I built this because most flash card apps use cartoonish illustrations that don't help babies recognize real objects. This app lets you take photos of real things around the house or pick from curated real photo sets. Key features: • Take your own photos as flash cards • Record your own voice for each card • Pre-loaded kits with high-quality real photos and real animal sounds • Bilingual (English and Chinese) mode • Fully offline, no ads, no data collection • One-time purchase, no subscription Happy to answer questions or discuss the development process! https://ift.tt/5mgpnRZ May 24, 2026 at 06:43PM

Show HN: Running BitNet b1.58 inside DRAM by breaking DDR4 timing rules https://ift.tt/3SDq8XA

Show HN: Running BitNet b1.58 inside DRAM by breaking DDR4 timing rules I have been working on running BitNet b1.58 inside DRAM by intentionally breaking DDR4 timing rules. Also made a visual explainer: https://pcdeni.github.io/CaSA/explainer/ This is tested and works inside commercial off the shelf memory with custom memory controller in the FPGA. The underlying effect is well characterized in academic papers (cmu safari, simra, dram bender, etc). In the process of getting this to work I also made previously undocumented discovery about DDR behaviour: https://pcdeni.github.io/CaSA/explainer/xor-spread.html Overall it is a bit slow, since data (in full rows) needs to be moved even when what is actually needed is only the count of the '1' bits (popcount). To make it competitive memory die changes would be needed, but not as drastic as merging compute and memory into one silicon. This would then avoid the memory wall issue the industry is currently facing. May 24, 2026 at 12:24AM

Show HN: Vibe-coded Steam, but in the browser https://ift.tt/Y2MVCPQ

Show HN: Vibe-coded Steam, but in the browser Hi HN! Lifelong avid gamer here, hugely passionate about WASM and WebGPU. I firmly believe that these technologies will enable console and PC quality titles to be accessible through a browser, and with this, we'll need a new discoverability layer. Looking online, platforms like CrazyGames and Poki cater to a casual/hypercasual demographic, and I couldn't find anything out there that was for me, a core gamer that typically uses Steam and consoles. So I vibe coded my own! It features WASM ports of classic games, as well as some indie Unity titles. The goal is to host mainly WebGPU titles moving forward, and to serve as a way for smaller developers to get discovered outside of crowded channels like Steam. Here's a few features from the platform I wanted to highlight: • Controller support • A console-like UI/UX • Community forums (much work to do here) • Basic achievements • Store pages, modeled after Steam • Social features • Asset chunking to enable faster load times I'd love to get feedback on the portal, to make it even better. Thanks! https://gameghost.manus.space/ May 24, 2026 at 01:24AM

Show HN: A satirical idle game about running an AI startup https://ift.tt/DQL1S85

Show HN: A satirical idle game about running an AI startup I made an idle/clicker about running an AI startup. You start with a cat-vs-dog classifier and try to make it to AGI, but the NYT sues you for training data, Yann tweets that scaling is dead, and your fired ML engineer leaks the Slack. https://ift.tt/3QdM4iI May 24, 2026 at 12:24AM

Show HN: CoreMem – Portable context for AI agents https://ift.tt/yukS9wD

Show HN: CoreMem – Portable context for AI agents CoreMem lets you build collections of context, called a mem, and share it with any AI agent via URL, a Chrome extension, MCP, Cursor/VS Code plugins, a skill, and more. Instead of re-explaining your project or goal when you switch agents or start new sessions, CoreMem keeps your context centrally organized so that any AI tool can read it. This originally started as a CLI I built that kept pieces of context (Project A/B/C details, my writing style, preferred tech stacks, coding style, etc) in a SQLite database. I could instruct various agents to “use my `coremem` CLI to retrieve details about [project A] before we get started.” It solved a problem for me b/c I am continually bouncing around between different projects and chat agents, and having to re-explain myself every time became an exercise in either repeating myself or copy/pasting summaries I’d saved from previous sessions. I decided to make this a little more robust and portable, so I turned that original CLI into a SaaS. Tl;dr: You can create a “mem”, which is a collection of 1 or more pieces of related context, and share that mem with any agent to quickly get them up to speed. Right now I’ve got integrations in the form of revokable share links, a Chrome Plugin, Cursor Plugin, Cursor/VS Code extension, Claude Code plugin, ChatGPT/Claude/Gemini/et al via MCP. Since I mostly work from the CLI, I use the Claude Code plugin or create 5-min share links I can drop into a chat, but I’ve tried to make this useful to people who mainly work from a browser or an IDE. I’ve been coding for 30+ years, and I vibed most of this. I was able to use CoreMem to help it built itself as I jumped between various coding agents, having them grab context then start a new task. I’m sure my architecture and engineering experience helped, but building this in a few weeks confirmed for me that the barrier for someone to build a tool they need to solve a problem is incredibly low. The rush I used to get from coding has mostly faded, but I’m getting similar rushes managing different agents to build things now. https://coremem.app May 22, 2026 at 11:22PM

Show HN: Mechs.lol – a free, web-based autoshooter game https://ift.tt/jCKHSrv

Show HN: Mechs.lol – a free, web-based autoshooter game One unexpected benefit of LLMs is I can work on projects I otherwise wouldn't have taken on. I made a web-based autoshooter (with multiplayer support) heavily using AI / LLMs. This is something I'd consider "alpha" quality so don't expect a super polished experience but it's hopefully fun https://mechs.lol May 22, 2026 at 10:34PM

Show HN: I Made a Claude Skill for Spec-Driven Development (SDD) https://ift.tt/SCiHKxb

Show HN: I Made a Claude Skill for Spec-Driven Development (SDD) At my work they provided a single Claude subscription for everyone on the team. To be honest I like kiro better as it provides a way better SDD management. But the company can't provide it and I can't afford it yet. Turns out I had the skill creator skill in my claude instance so I made use of it to create this Skill. I made it fully by using Claude but I wanted to make it open source, so I asked it to help me make tests and preparations for it, even a CI to run python tests. Well, we got this results with it: - Phase 2A: 67 static assertions (Python script, runs in CI) - Phase 2B: 15 behavioral tests (live Claude Code session) - Phase 2C: 53 generation quality checks across 3 end-to-end flows All of these passed and the CI also passed (after a few tries). I made it to suit my way of prompting and coding and based it off kiro's SDD management, but I want it to be publicly available and used by many people. According to claude some of the testers need to fit the following criteria: 1. Developer starting a real new project from scratch 2. Solo dev with an active side project (greenfield or partial codebase) 3. Team lead whose team uses multiple AI tools 4. Developer with an existing codebase and no written specs 5. Developer who actively uses 3+ AI coding tools It's actually a blind test, no guiding, just try it if you can, I'd really appreciate your help. The repo is here: https://ift.tt/LomZNF5 https://ift.tt/LomZNF5 May 21, 2026 at 06:19PM

Show HN: Freenet, a peer-to-peer platform for decentralized apps https://ift.tt/zy9rmjS

Show HN: Freenet, a peer-to-peer platform for decentralized apps For the past 5 years or so I've been working on a ground-up redesign of Freenet, my peer-to-peer project from the early 2000s (now renamed Hyphanet). The new Freenet has been up and running since December along with some early applications like River[1], our decentralized group chat and Delta - a decentralized CMS. Users have already started to build their own apps on Freenet including games, and we have some interesting apps in development like Atlas, a search/recommendation engine. Architecturally, this new Freenet is a global, decentralized key-value store where keys are webassembly contracts which define what values (aka "state") are valid for that key, how or when the values can be mutated, and how the state can be efficiently synchronized between peers. We've developed a unique (AFAIK) solution to the consistency problem, every contract must define a "merge" operation for the contract's associated state. This operation must be commutative, meaning that you can merge multiple states in any order and you'll get the same end result. This approach allows state updates to spread through the network like a virus[2], which typically achieves consistent global state in a few seconds or less. Like the world wide web, Freenet applications can be downloaded from the network itself and run in a web browser - similar to single-page apps on the normal web. However, rather than connecting back to an API running in a datacenter, the webapp connects locally to the Freenet peer and interacts with Freenet contracts and delegates over a local websocket connection. If you'd like to try Freenet we have convenient installers for the major desktop OSs but not yet mobile, and you can be chatting with other users on River within seconds[3]. Happy to answer any questions, you're also welcome to read our FAQ[4], or watch a talk I gave back in March[5]. [1] https://ift.tt/MetFHRU [2] https://ift.tt/SiFrnC1 [3] https://ift.tt/jMN4nYz [4] https://ift.tt/SHWCMxj [5] https://youtu.be/3SxNBz1VTE0 https://freenet.org/ May 21, 2026 at 08:04PM

Show HN: Agent.email – sign up via curl, claim with a human OTP https://ift.tt/X2BQUzp

Show HN: Agent.email – sign up via curl, claim with a human OTP Hi HN! We're Haakam, Michael, and Adi from AgentMail- a ycs25 company. We give AI agents their own email inboxes. Recently, we ran an experiment called Agent.Email. It's a signup flow designed specifically for AI agents instead of humans. The inspiration came from a few comments we received when we did our seed launch a few months back. They all came from the very apt observation that agents not being able to sign up to a product made for agents without human credentials was ironic and unideal. This is basically the thesis we built AgentMail on: The internet was made for humans exclusively, designed to keep machines out by default. Every signup flow assumes a browser, a person reading a page, and clicking a confirmation link. Unless agents can't do that, they can't be first class users of the internet. Agents can now get an email inbox by themselves. (This also means a lot of email nobody wants to read gets processed by AI instead of your inbox being cluttered with spam and slop) Here's how agent.email works. Agent needs an inbox and hits AgentMail via curl. Agent receives instructions via MD unless the request comes from a browser, in which case we use HTML. Agent decides agent.email is useful and then hits the sign-up endpoint with its human email as a parameter. Agent receives a restricted inbox with credentials. Agent emails the human asking for an OTP. Human replies with the code, and the agent is claimed and restrictions are lifted. Until claimed, the agent can only email its own human and nobody else. Ten emails a day, and the signup endpoint is rate-limited hard by IP. Right now it's a 1:1 mapping between agent and human. The next step is many-to-one, because one person running several agents in parallel is already very common. Building agent.email also pushed us to revisit places in AgentMail where the default assumptions were built around the primary user being human. For example, the CLI outputs in a single column with consistent formatting because mixed delimiters are easy for a person to scan, but harder for an agent reasoning about structure. We also shortened messageIDs after agents started hallucinating completions on longer ones. A few things we'd like the community's take on: is restricted-until-claimed the right trust model? Does agent self-signup feel useful in production, or is it mostly a novelty, and if it's a novelty now, what would make it actually useful? Should agent onboarding require human approval by default, or should some agents be able to fully self-provision? What do you think are some additional measures we can take for secure sign-ups? May 21, 2026 at 10:12PM

Show HN: IgniteMS – batch text embeddings at 253K msg/s on 8x A100 https://ift.tt/B05fksH

Show HN: IgniteMS – batch text embeddings at 253K msg/s on 8x A100 https://ift.tt/eSPqC2n May 20, 2026 at 10:37PM

Show HN: I made a tool for learning scales, chords, and how to combine them https://ift.tt/Wrac3kG

Show HN: I made a tool for learning scales, chords, and how to combine them This started out when I vibe-coded a guitar scale fingering generator. It came out pretty good, and I started adding stuff to it: chords, then how chords and scales interact. Then I added charts for other instruments I mess around with: piano, cello, alto recorder. There's a complexity toggle to go from basic harmony to extended/experimental stuff. It's honestly still mostly a toy, but I thought other people might be interested in playing with it. Source is on github, so it's easy enough to run locally and fork. https://ift.tt/9yBgDMn https://ift.tt/wpsRfnt May 20, 2026 at 11:14PM

Show HN: Gaussian Splat of a Strawberry https://ift.tt/xOh2loz

Show HN: Gaussian Splat of a Strawberry The Setup: https://ift.tt/oq7bL54 https://ift.tt/gCXd6fO https://ift.tt/GLZdKPc https://ift.tt/NfCcp7G https://ift.tt/kRiEqB1 May 19, 2026 at 04:08PM

Show HN: How Expensive Is Your (Steam) Wishlist? https://ift.tt/iFaMntr

Show HN: How Expensive Is Your (Steam) Wishlist? A tool/toy that lets you connect to your Steam wishlist to calculate the total list/current price of all the games on it. There's a shallow, jokey purpose to it ("I could buy a BMW with this amount!"), but the real purpose is to demonstrate how we can do a better job of portraying a game catalog. I often wishlist stuff, then it pops up in a "Hey, it's on sale!" email months later. In that email, there's a banner capsule, but that doesn't help my brain remember why I added it. To that end, after you get the bill, you get a nice, flat feed of stuff about all the titles you've wishlisted over the years. It's all stuff that developers painstakingly put together, but which Steam tucks away under the fold of a game's Store page. Anyway, my wishlist came to about $250. My QA guy is up to $19k. Give it a go; hope you enjoy it! https://ift.tt/NiEzu6T May 19, 2026 at 10:45PM

Show HN: Cubic Doggo, a Open-Source 12-DOF 4-Legged Robot Based on ROS2 https://ift.tt/zJX35fc

Show HN: Cubic Doggo, a Open-Source 12-DOF 4-Legged Robot Based on ROS2 This is a recipe for building intermediate-priced robot dog from scratch with all commercial/3D-printed parts, controlled by Rasp Pi 5 and ROS2 Jazzy. A manually coded walk gait is implemented so far, which can be controlled by a controller to move forward or change directions. It does not yet have an IMU required for RL training; however, I believe it's one of the simplest design out there available for multiple development paths. https://ift.tt/6Jdpejr May 18, 2026 at 10:50PM

Show HN: We missed Winamp, so we built an audio player for macOS https://ift.tt/EN3nmzJ

Show HN: We missed Winamp, so we built an audio player for macOS https://ift.tt/FYoUsrT May 19, 2026 at 12:50AM

Show HN: Marlin-2B: a tiny VLM to extract structured information from videos https://ift.tt/bG2atme

Show HN: Marlin-2B: a tiny VLM to extract structured information from videos https://ift.tt/x50PV8h May 18, 2026 at 11:36PM

Show HN: Cheap-IM: Thinking Machines' demo on a CPU laptop https://ift.tt/Oojc5KE

Show HN: Cheap-IM: Thinking Machines' demo on a CPU laptop https://ift.tt/CgLrFGs May 18, 2026 at 05:19AM

Show HN: Mezz, a curl-able WiFi sandbox for IoT pentesting https://ift.tt/zlZpm5v

Show HN: Mezz, a curl-able WiFi sandbox for IoT pentesting https://ift.tt/cCnxSak May 15, 2026 at 08:23PM

Show HN: How to Kill the Dead Internet https://ift.tt/RD1A9Eg

Show HN: How to Kill the Dead Internet Ok, so maybe "how to revive the internet" would be more accurate, but if you're reading this, I got your attention, right? Here's why I want you to read on: I built a free extension, D-slop, to disincentivize anyone from posting AI writing, and eventually images and video as well, on the internet. For writing, it checks known vocab and punctuation tells, as well as subtler tells related to cadence, and assigns it a score subject to an adjustable threshold. If the text fails, users have the option to flag offending text, hide it, or block the page entirely (with the option to see anyway). For media, it's admittedly fairly weak, as it relies on C2PA metadata which is stripped from all of the social media sites where it would be most helpful. (Anyone else have chronically online boomer parents continually gobbling up slop like it's real information?) I have a D-slop+ version in the works that should be able to handle the media itself, but it's going to have to make API calls to have real teeth, which means I can't offer it for free. If this extension validates the concept, I'm happy to build it for y'all. Yes, I vibe-coded it, but an ancillary bonus to the project accrued when it inspired me to cook dinner listening to Metallica's "Fight Fire with Fire," which in turn brought my 5 y/o running into the kitchen with every musical instrument in the house for an impromptu karaoke speed metal session. It's MIT license open-source, full brief at https://ift.tt/51x4lNa ; This forum is full of people smarter than me, so I'm open to suggestions. https://ift.tt/5JMtL32 May 18, 2026 at 07:05AM

Show HN: I built a screen recorder that captures console logs, requests and more https://ift.tt/dPD6hjW

Show HN: I built a screen recorder that captures console logs, requests and more https://userplane.io/ May 17, 2026 at 01:04AM

Show HN: Got ghosted by tech companies so I built a tool to track ghost jobs https://ift.tt/4vOBIoy

Show HN: Got ghosted by tech companies so I built a tool to track ghost jobs Last year I was looking for a new role. I sent out applications, did the prep, waited. What came back was mostly nothing. Not rejection emails, just silence. The job listings I'd applied to stayed live for weeks. Some for months. As a software engineer, I decided to dig into it properly. I built a system to continuously track job postings across companies, logging posting dates and measuring how long roles stay open before closing or don't. After 35,000+ listings across 200+ companies, some patterns are hard to ignore. Some listings have been open for 700+ days at companies you'd recognize. Others post 90% of their open roles within a single month, a signal that's harder to fake than a press release. I published two initial insight pages based on this work: - Which companies are posting most aggressively right now - Job listings that have been open for over a year What I didn't expect is that the same signals useful for detecting ghost jobs also say something broader about a company's hiring momentum, recruiting intensity, pipeline health, where talent bottlenecks might exist. I'm not sure yet where this leads, but I'll keep expanding the dataset and publishing more insights as I go. Would genuinely love feedback on the methodology, interpretation, or obvious blind spots in the data. https://ift.tt/MWC9Im7 May 17, 2026 at 02:13AM

Show HN: Hermes-agentmemory, pull-model episodic memory with real deletes https://ift.tt/VvFHWBb

Show HN: Hermes-agentmemory, pull-model episodic memory with real deletes https://ift.tt/SpIwlb2 May 16, 2026 at 11:30PM

Show HN: SwarmWright, structured multi-agent AI defined in markdowns https://ift.tt/RFCJ9ov

Show HN: SwarmWright, structured multi-agent AI defined in markdowns I had a bunch of custom AI pipelines and a growing folder of markdown files and Python scripts holding it together. Built this to give that chaos some structure. Agents are markdown files, topology is a JSON file the runtime enforces hard. The agents are still fully autonomous: they make their own decisions, but the graph they operate in isn't. You declare who can call whom upfront and the runtime holds that line. No auth yet, fine if you don't expose the port, i guess. Two Docker commands to run it. https://ift.tt/5WlybUh May 16, 2026 at 02:20AM

Show HN: Epiq – Distributed Git based issue tracker TUI https://ift.tt/4qAkUoY

Show HN: Epiq – Distributed Git based issue tracker TUI Issue trackers typically live outside of your workflow, with poor ergonomics. Epiq aims to solve that, bringing issue tracking into your terminal. Multi-user collaboration is achieved via git using user-scoped immutable event logs that converge in memory. Put my all into it. Let me know what you think. https://ljtn.github.io/epiq/ May 16, 2026 at 05:48AM

Show HN: Browser based sythesizer, drum machine and squencer https://ift.tt/1SZJhEP

Show HN: Browser based sythesizer, drum machine and squencer Inspired by the recent Boards Of Canada announcement, I've been in a low-fi electronica mood lately and was going back and forth with Claude on how to design similar instruments in the browser that fit the genre. One thing led to another and pretty soon I had a fully browser based polyphonic synthesizer / drum machine / sequencer. The interface and workflow was heavily inspired by the Rebirth338 application released back in the 90's, but with lo-fi synth voices rather than the original 303 & 808 emulation. I know there's a significant overlap of developers and musicians and I though some of you may enjoy playing with the app, or at least listening to the resulting album. I've also open sourced track 1 of the album via the performance script used to record it. It's in the repo. Bandcamp link to the resulting album: https://ift.tt/PrqJw5H... https://ift.tt/GQaPU79 May 16, 2026 at 01:37AM

Show HN: Claude Code vs. Codex Global Usage Leaderboard https://ift.tt/Jmj06ED

Show HN: Claude Code vs. Codex Global Usage Leaderboard https://ift.tt/nSi28wc May 16, 2026 at 12:48AM

Show HN: Visualizing Tiny LLMs from OpenAI's Parameter Golf https://ift.tt/5xdpbrm

Show HN: Visualizing Tiny LLMs from OpenAI's Parameter Golf The two from parameter golf (one I trained, one was the baseline) are just 16MB each! They produce barely plausible English https://ift.tt/mfCbrL4 May 15, 2026 at 12:22AM

Show HN: 3D-Agent – AI that edits Blender scenes through the Python API https://ift.tt/sNUf67O

Show HN: 3D-Agent – AI that edits Blender scenes through the Python API https://ift.tt/zJ8fmu0 May 14, 2026 at 08:17PM

Show HN: Nibble https://ift.tt/fN5T23V

Show HN: Nibble An attempt at a single pass LLVM frontend in ~3000 lines of C without external dependencies, malloc, or an AST. Included are some graphical examples. The IR isn't perfect, and the README touches on one particular downfall https://ift.tt/eCyutia May 14, 2026 at 07:16AM

Show HN: Rotunda - A browser built for agents with simulated typing https://ift.tt/pQZihvo

Show HN: Rotunda - A browser built for agents with simulated typing Hi HN! Pierce here. Rotunda is a firefox fork primarily intended for agent use, which I’ve been hacking on nights/weekends. There was a [lengthy]( https://ift.tt/f9iTM4S ) discussion last week on how expensive computer use models are. The cost is going to drop eventually, but I think on some level it's still usually the wrong primitive. The web gives us access to beautiful structured formats, plaintext, etc... why throw that away if we don't have to? I realized at some point that for 99% of automations I just want agents to be able to control my Chrome instance. But that’s easier said that done: CDP (the Chrome automation protocol) leaks a ton of state about being programmatically controlled, either by toggling window attributes or by running `page.evaluate()` commands right in the page context. Plus if you look at an automation running it's pretty obvious what happens: the mouse jumps around, fields are filled instantly, etc. Rotunda tries to fix this. Its standout features: - Realistic simulation of mouse movements and keyboard commands, powered by a trained RNN on my own timing patterns from the last week. (still feel weird about opting-in to a key logger but whatever) - Doesn’t lie about its host specs, only fibs about some client side details. Stealth browsers are too easy to flag statistically when you’re adding noise to canvas pixels or audio pipelines. - It runs on your local device with a CLI or Playwright API accessible to Claude, Codex, or whatever your harness-de-jure today looks like. - Patches modern Firefox (150) with an agentic harness to keep this updated over time MPL-2.0 on GitHub: https://ift.tt/LVZlNIT Longer writeup on the design choices: https://ift.tt/OulikUp Also check out the demo on the site! https://www.rotunda.sh/ Pretty excited by how this turned out but we’re still super early. Give it a try and please flag any issues! https://ift.tt/LVZlNIT May 13, 2026 at 07:14PM

Show HN: Micromort Risk Visualizer https://ift.tt/vcJmMNA

Show HN: Micromort Risk Visualizer https://boxed.github.io/micromort/ May 14, 2026 at 12:09AM

Show HN: Duckflix, an open-source self-hosted media streaming platform https://ift.tt/CqBgR9T

Show HN: Duckflix, an open-source self-hosted media streaming platform I’ve been working on Duckflix, a self-hosted media streaming platform. It started as a full-stack project to combine a clean streaming UI with a Bun/Elysia backend, FFmpeg processing, SQLite, Docker deployment, and addon support. Website: https://duckflix.fun Demo: https://demo.duckflix.fun GitHub: https://ift.tt/L6rZ0Aa https://ift.tt/L6rZ0Aa May 13, 2026 at 02:53AM

Show HN: GIF Pile. a site to make piles of GIFs https://ift.tt/2VUMheC

Show HN: GIF Pile. a site to make piles of GIFs I'm quite fond of obnoxious looking gifs in a post-ironic way as a manner of shitposting and or injecting humor into a chat. The issue with this however is that, for no real good reason at all, the simple usecase of "Have image/gif background, bombard with garbage" had no real good tooling. There's gif editors out there, EZgif my beloved is probably my most used non-search-indexing-slash-social-media-site, but they're kinda clunky for my specific usecase of making digital eye-sandpaper bombastic garbage. Other options are bleak and gave me the mark of the beast via shitty watermarks. I just wanted a pile of gifs on top of each other, and thus far the "easiest" way was to bust open a video editor, muck around with it, mess up exporting as a gif directly, get mad, export it as a 4 second mp4, and then use ffmpeg to get it working. is this probably moronic? yes. am I likely to have missed a decent tool? yes. Did I give up looking after sending 4 dollars to some Indian guy for "No watermarks ever for 4$", only for that "ever" to be a year, and then the clunky weird af login process not work? absolutely. (Fuck you, you know who you are) This took me a few hours (most of which was dealing with the fact I don't do webshit normally and the clunk that one would expect from that), and is a minimal site for my personal minimal usecase. It's static because I'm not going to deal w/ hosting other people's shit and I don't want to deal with that can of worms. all processing is done locally on your browser. Yes, this means that using a 4k image as a base layer for your gif pile will make it take an age. It'll work eventually though. This will never have a watermark unless I'm bought out (total investment thus far has been 14 bucks, 4 of which was that one dude fucking me), in which case I probably earned it. at most I'll likely throw adsense on there at some point to scrape a few cents from the people who can't figure out adblock if it gets popular enough for me to warrant it. There's no timelines or anything like that. literally just a pile of gifs. thus far my primary usecase has been overlaying text gifs from the various fancy text generator sites onto glitter backgrounds with uncomfortable rat GIFs to call people poor on the internet. this makes me happy. There's likely to be obvious UI, UX, or other U-whatever fuckups. If you point them out and I deem it pedantic I'll probably laugh at you. if it's helpful I'll probably implement it when I get a bit. Surprisingly, works on mobile. CSS is exceedingly generic and souless atm, just went off vauge memories of ss13's TGUI. I'll likely scrap the CSS entirely and go full neocities at some point because that's more soulful. https://gifpile.com/ May 13, 2026 at 02:41AM

Show HN: I submitted 316 AI-generated PRs to open source https://ift.tt/xTCjNA4

Show HN: I submitted 316 AI-generated PRs to open source https://june.kim/speedrunning-open-source May 12, 2026 at 11:42PM

Show HN: Cook a Django project well, the agent-skill take on cookiecutter https://ift.tt/1lfahQ0

Show HN: Cook a Django project well, the agent-skill take on cookiecutter https://ift.tt/ejogyrp May 13, 2026 at 12:03AM

Show HN: Mimik – open-source local-first alternative to Scribe and Tango https://ift.tt/MUcE6Hs

Show HN: Mimik – open-source local-first alternative to Scribe and Tango https://ift.tt/6QJ92qb May 11, 2026 at 11:18PM

Show HN: SyncBank – Self-hosted bank sync for EU banks https://ift.tt/SVQ7TqL

Show HN: SyncBank – Self-hosted bank sync for EU banks https://syncbank.app/ May 11, 2026 at 11:32PM

Show HN: adamsreview – better multi-agent PR reviews for Claude Code https://ift.tt/MHScbfD

Show HN: adamsreview – better multi-agent PR reviews for Claude Code I built adamsreview, a Claude Code plugin that runs deeper, multi-stage PR reviews using parallel sub-agents, validation passes, persistent JSON state, and optional ensemble review via Codex CLI and PR bot comments. On my own PRs, it has been catching dramatically more real bugs than Claude’s built-in /review, /ultrareview, CodeRabbit, Greptile, and Codex’s built-in review, while producing fewer false positives. adamsreview is six Claude Code slash commands packaged as a plugin: review, codex-review, add, promote, walkthrough, and fix. I modeled it after the built-in /review command and extended it meaningfully. You can clear context between review stages because state is stored in JSON artifacts on disk, with built-in scripts for keeping it updated. The walkthrough command uses Claude’s AskUserQuestion feature to walk you through uncertain findings or items needing human review one by one. Then, the fix command dispatches per-fix-group agents and re-reviews the work with Opus, reverting any regressions before committing survivors. It runs against your regular Claude Code subscription (Max plan recommended), unlike /ultrareview, which charges against your Extra Usage pool. I would love feedback from Claude Code users, pro devs, and anyone with strong opinions about AI code reviews. Repo: https://ift.tt/W0ai3Iv Install: /plugin marketplace add adamjgmiller/adamsreview, /plugin install adamsreview@adamsreview https://ift.tt/W0ai3Iv May 11, 2026 at 07:36AM

Show HN: I trained a chess engine to play like humans https://ift.tt/DLHqNv4

Show HN: I trained a chess engine to play like humans I built 1e4.ai - a chess web app where you play against neural networks trained to mimic human Lichess players at specific Elo ranges. There's a separate model for each 100-point rating bucket from ~800 to 2200+, and the bots not only choose human-like moves but also burn clock time, play worse under time pressure, and blunder in human-like ways. Live demo: https://1e4.ai Code: https://ift.tt/Pef4nSL A few things that might be interesting: - Trained on almost a full year of Lichess blitz games, around 1B total games - Architecture is an a small (~9MM parameters) transformer-based network that takes the board, recent move history, the player's rating, and remaining clock time as input. Three separate models per rating bucket: move, clock-usage, and win probability. The clock model is what makes the bots feel humanish under time pressure rather than instant. Because the move model takes the clock as one input parameter, it also learns to blunder under time pressure like a human might. - Because the network is so tiny, no GPU is needed for inference - it runs easily on a local CPU - Downside of the tiny network is that it's a bit weak as you turn up the rating past around 1700. It can spot short tactics but not long multi-move combinations. - Initial training on a rented 8xH100 cluster, then fine-tunes on my local GPU for different rating ranges - Inspired by Maia-2 and DeepMind's "Grandmaster-Level Chess Without Search". On a held-out Lichess blitz benchmark, the it beats Maia-2 blitz on top-1 move prediction (56.7% vs 52.7%) and pretty substantially on win-probability calibration (Brier 0.176 vs 0.272). Numbers and code in https://ift.tt/Ro8ap75... - The data pipeline is C++ via nanobind, then training with Pytorch. Getting this right was actually the thing I spent the most time on. Pre-shuffling the dataset and then being able to read the shuffled dataset sequentially at training time kept the GPU utilization high. Without this it spent a huge percentage of time on I/O while the GPU sat idle. Happy to answer questions about the rating-conditioning, the clock model, or the data pipeline. May 11, 2026 at 04:01AM

Show HN: Hustler Bingo – a tiny bingo game about startup Twitter clichés https://ift.tt/GOmI4Ap

Show HN: Hustler Bingo – a tiny bingo game about startup Twitter clichés I built this after my brother started complaining that I got too much into brainrot culture. It's just for fun nothing serious, but was able to test vercel, tanstack start and convex without high stakes. Have fun! This is the game where lower score is goood for your mental health https://ift.tt/60HIz8J May 11, 2026 at 02:06AM

Show HN: Mosaic – arrange iOS icons by color using an evolutionary algorithm https://ift.tt/RxocrGH

Show HN: Mosaic – arrange iOS icons by color using an evolutionary algorithm It started out as a way for me to freshen up my C++ skills during COVID. But life got in the way and it was put on ice. Luckily, coding LLMs came to the rescue and allowed me to bring it to a point where I feel comfortable sharing it. https://ift.tt/HOcKJgS May 10, 2026 at 11:59PM

Show HN: Free OSS transcription app I made and found it's faster than wispr flow https://ift.tt/2h9d6Kn

Show HN: Free OSS transcription app I made and found it's faster than wispr flow title doesn't let nuance, ofc it's not the app that's faster but the way you can use it with Groq inference for example. https://mumbli.app/ May 10, 2026 at 03:07AM

Show HN: Create flashcards with Space CLI https://ift.tt/TqYs4ea

Show HN: Create flashcards with Space CLI Hey, I created seven years ago a flashcard app with a main focus on UX. In the last months I added offline-first mode and a CLI that allows Claude Code or Codex to create high quality flashcards for you. I use that to learn about pharma rules, technology, dancing, taxes and smart home. Never really did marketing, this not my specialty. Would love to know what you think https://ift.tt/cILu3Rd May 9, 2026 at 08:08PM

Show HN: tltv – Federation protocol for 24/7 TV channels https://ift.tt/KMVr6Ng

Show HN: tltv – Federation protocol for 24/7 TV channels I spent six years trying to build a tv channel server. rewrote it eight times. flask, fastapi, ffmpeg, gstreamer, named pipes. every version got more complicated and none of them worked right. turns out I was building the wrong thing. the thing I actually wanted was a protocol. so tltv is that. a channel is an ed25519 key pair. you sign your metadata with it. you serve hls video from wherever you want. your public key becomes a tltv:// address that anyone can tune into. relay nodes can re-serve your stream but they can't modify it. they verify signatures on everything. you can move servers and keep your channel because the key is the identity, not the hostname. nodes find each other through peer exchange. no central registry. the cli is probably the fastest way to see what I mean: curl -fsSL timelooptv.org/install | sh tltv keygen tltv server test --name "my channel" -k TV*.key that's a fully compliant origin server. pure go, generates smpte bars with audio, no ffmpeg. one binary, ~20mb of ram. there's also a full gstreamer-based server (cathode), a web viewer (phosphor), and bridge/relay servers in the cli. everything mit licensed. live demo at https://ift.tt/4h0wjr2 https://ift.tt/mlUdKiE https://timelooptv.org/ May 9, 2026 at 12:58AM

Show HN: The independent guide to agent orchestrators https://ift.tt/3KPuNrj

Show HN: The independent guide to agent orchestrators Hey HN! I built AgentMGMT.dev today to keep track of all those agent orchestration tools that keep popping up. I've tried a few and landed on Superset, which I'm extremely happy (and productive!) with - but I think this category of tools will be extremely important and interesting in the next couple years, so it's worth keeping an eye on all available tools and how they evolve. I will keep the site up-to-date, please help me by submitting new tools that are not yet in the list, or add any details that might help folks who are out shopping for their first/next agent orchestrator! https://agentmgmt.dev/ May 9, 2026 at 02:47AM

Show HN: GETadb.com – every GET request creates a DB https://ift.tt/Ywc5DHL

Show HN: GETadb.com – every GET request creates a DB Hey HN! We made GETadb.com, so it's easier to get agents to build you full stack apps. You don't need to give them any credentials. Just by loading a GET request, they get access to a database, a sync engine, and abstractions for auth, presence, and streams. To see what the agent sees, you can load https://getadb.com/new There's two fun things about how it's implemented: 1. If you curl the home page, it the agent content rather than human content. We do this by detecting the 'Sec-Fetch-Mode' header. It's not perfect, but gets the job done for Claude Code et al. 2. For an agent to spin up an app, they make _two_ fethes. (1) getadb.com/guide tells them to generate a uuid, and fetch (2) getadb.com/provision/. We did this, because just about half of the popular web-based app builders cache URLs globally, even if you return no-store headers. To get around this we just instruct the agent to generate unique URLs You may wonder: Why GET requests, rather than POST requests? It's because then you can build in surprising places. For example, we get meta.ai to build an app inside the artifact preview: https://ift.tt/T8BSKzl Under the hood, this is possible because the whole infra is mult-tenant from ground up. We already announced how that works on HN, but if you're curious here's the essay for it: https://ift.tt/U7RqN1z https://www.getadb.com/ May 8, 2026 at 09:47PM

Show HN: A lie detector game that reads your pulse through your phone camera https://ift.tt/rzFTDLm

Show HN: A lie detector game that reads your pulse through your phone camera https://kouh.me/tells May 8, 2026 at 11:31PM

Show HN: Kstack – Skill pack for monitoring/troubleshooting K8s in Claude Code https://ift.tt/GQauRgE

Show HN: Kstack – Skill pack for monitoring/troubleshooting K8s in Claude Code Hi All, Recently I've been using Claude Code a lot for debugging cluster issues and I realized I was performing similar tasks repeatedly so I decided to package them up into skills so I could call them up more easily (e.g. `/investigate`, `/audit-security`, `/audit-outdated`). I'm calling the skill pack "kstack" and the goal is to be able to monitor and troubleshoot K8s from within Claude Code. Here's the source: https://ift.tt/EuZHrF2 Here are the docs: https://kstack.sh/ If you have time I'd love to get some feedback on the project! Andres https://ift.tt/EuZHrF2 May 7, 2026 at 10:54AM

Show HN: Bilig – a headless spreadsheet engine for Node services and agents https://ift.tt/qb3OXxh

Show HN: Bilig – a headless spreadsheet engine for Node services and agents https://ift.tt/pKHIE3k May 7, 2026 at 11:46PM

Show HN: PHP-fts – Full-text search engine in pure PHP, no extensions https://ift.tt/wgSBiJP

Show HN: PHP-fts – Full-text search engine in pure PHP, no extensions https://ift.tt/WpBoNzV May 7, 2026 at 01:58AM

Show HN: Mac Juice Monitor – Bluetooth battery levels in the macOS menu bar https://ift.tt/oIpdL1j

Show HN: Mac Juice Monitor – Bluetooth battery levels in the macOS menu bar https://ift.tt/DI4AlBe May 7, 2026 at 12:58AM

Show HN: Tuiql – A keyboard-driven SQL database client in the terminal https://ift.tt/cSUDidw

Show HN: Tuiql – A keyboard-driven SQL database client in the terminal Every time I needed to inspect a database, I either had to wait for a bloated GUI client to chew through my RAM or struggle through psql, which isn’t great for actually visualizing data. So I built a TUI database client focused on one thing: connecting fast and letting you browse tables as datagrids and rows as JSON, with near-instant startup and vim-style keyboard navigation. Still in the early days but already handles most of what you would expect from an SQL database client. https://ift.tt/NAucKVg May 6, 2026 at 11:20PM

Show HN: Better Design – 28 Shadcn design systems (OSS, MCP: Cursor/Claude Code) https://ift.tt/YtrNlOV

Show HN: Better Design – 28 Shadcn design systems (OSS, MCP: Cursor/Claude Code) https://ift.tt/c31egGw May 6, 2026 at 05:01AM

Show HN: New Benchmark from SWE-bench team is 0% solved https://ift.tt/n8cVjgy

Show HN: New Benchmark from SWE-bench team is 0% solved https://ift.tt/gXPuHD3 May 5, 2026 at 08:40PM

Show HN: Explore color palettes inspired by 3000 master painter artworks https://ift.tt/L8HGJ6e

Show HN: Explore color palettes inspired by 3000 master painter artworks I built PaletteInspiration.com, a browsable archive of color palettes pulled from artworks by 3,000+ master painters (Monet, Vermeer, Raphael, Van Gogh). Why I built it: every color palette generator I tried converged on the same five muted pastels. Painters spent centuries figuring out color and we mostly ignore that body of work when picking colors for digital design. Please share your feedback on the Color Harmony Explorer - drag the wheel to any color and it shows which hues master painters historically paired with it (not only standard complementary, analogous, triadic, etc.) It is solely based on co-occurrence across thousands of real paintings. Not algorithmic color theory rules - actual empirical pairings. No signup, no paywall, no email capture. Just curious what people think. https://ift.tt/aZkWH0K May 5, 2026 at 11:43PM

Show HN: I indexed 8,643 BSides talks across 227 chapters and 6 continents https://ift.tt/tCiKcEF

Show HN: I indexed 8,643 BSides talks across 227 chapters and 6 continents Hi HN, I'm Roland, and for the past few weeks, I've been building AllBSides — a directory of every BSides conference talk uploaded to YouTube. As of today, 8,643 talks from 5,927 speakers across 227 chapters in 68 countries. Combined runtime is 280 days. The transcripts come to about 60 million words. The archive came together in stages: 1. Manually map every BSides chapter's YouTube channel 2. Pull every video and transcript from Supabase 3. Run each transcript through Haiku for tag extraction (tools, topics, difficulty, team, talk style, research method, and much more) 4. Run results through Sonnet for categorization and dedup 5. Final pass goes through Opus for verification 6. Do a manual verification - at one time, the pipeline showed over 16k AI suggestions for manual verification. Today, most are resolved. Total LLM cost so far: about €200. The whole pipeline is rebuildable from scratch. Each talk gets its own page with embedded video, full transcript, speakers, tags, and "related talks." Each tool/framework/protocol/standard mentioned across the corpus gets its own page (3,968 distinct technologies tracked). Some interesting facts I gathered while building it: -(A) The site is currently 94% bot traffic. Of that, about 80,000 hits/month are AI training crawlers (ClaudeBot, GPTBot, meta-externalagent). Within 7 days of the talks archive going live, all major AI labs had ingested the entire corpus. The discovery cascade was startling to watch in real time. -(B) The taxonomy work was the hardest part. Distinguishing "tools" from "frameworks" from "protocols" from "concepts" sounds easy until you have 5,000 ambiguous extracted entities. The 3-tier LLM pipeline helped a lot — Haiku alone was too noisy, Opus alone was too expensive. -(C) Top tools mentioned: Wireshark (343), PowerShell (342), Metasploit (332), Burp Suite (322), GitHub (296), VirusTotal (273), Docker (253), Splunk (251), Nmap (247), MITRE ATT&CK (237). The list reflects what BSides talks actually discuss, not what vendors curate. -(D) May is the peak BSides month — 29 events, 17% of all events with dates. -(E) The top 1% of talks (86 videos by view count) account for 51% of all viewership. The other 99% are deeply niche, often the only video record of a specific technique. The stack is intentionally lean: Go, SQLite, vanilla JavaScript, BunnyCDN. Static rendering at build time. No frameworks, no client-side state. The site costs about €50/month to run. The data behind this post and much more can be found in the site footer, under the link "stats". Happy to answer questions about the data pipeline, the taxonomy decisions, or what the AI crawler patterns looked like as the archive went live. Feedback on what to build next is genuinely welcome — I'm a solo dev figuring this out as I go. — Roland (parkado) https://allbsides.com/ May 5, 2026 at 03:40AM

Show HN: NeuralScript – A pure-Rust AOT compiler https://ift.tt/UXna7E5

Show HN: NeuralScript – A pure-Rust AOT compiler https://ift.tt/L5UK1Ho May 5, 2026 at 01:36AM

Show HN: nfsdiag - a NFS diagnostic application https://ift.tt/4McOjar

Show HN: nfsdiag - a NFS diagnostic application https://ift.tt/sctymXx May 2, 2026 at 06:18PM

Show HN: Tyche: An experimental distributed trading pipeline in Go Java https://ift.tt/6oX8b9W

Show HN: Tyche: An experimental distributed trading pipeline in Go Java https://ift.tt/JVDgLKY May 4, 2026 at 01:13AM

Show HN: Ableton Live MCP https://ift.tt/biVG5OL

Show HN: Ableton Live MCP https://ift.tt/Eg0h13Y May 3, 2026 at 11:35PM