Show HN: OpenScreenShot: open-source full-page screenshot and annotation tool https://bit.ly/4wDQBRD

Show HN: OpenScreenShot: open-source full-page screenshot and annotation tool https://bit.ly/4gpf9ZC July 9, 2026 at 02:19AM

Show HN: Cyrinx (36kbps Acoustic Transport) https://bit.ly/4p81l81

Show HN: Cyrinx (36kbps Acoustic Transport) Working with Fable 5, a MacBook, and a Pixel phone, I built an acoustic transport library that is several orders of magnitude faster than existing SoTA open source options like ggwave, quiet, minimodem, or Chirp. Paper: https://bit.ly/4gtXvUy Apache 2.0 source: https://bit.ly/4f6MjLc https://bit.ly/4fb1hQp July 9, 2026 at 01:59AM

Show HN: Frugon – Find which LLM calls a cheaper model could handle (local, MIT) https://bit.ly/3SMUCo8

Show HN: Frugon – Find which LLM calls a cheaper model could handle (local, MIT) I started leaning in on AI heavily this year, as I wanted to get more done autonomously, but then my token usage climbed dramatically to the point where my weekly quota would run out before the end of the week, sometimes a couple of days into the week. I realised I had to do something about it else I'd have to double my spend. So I decided to start tracking my cost per task type. This revealed that a lot of my spend went to searches/scans or simple things like scouting tasks. I then decided to turn this into a simple CLI tool that can be used to read your OpenAI-style logs locally, and analyze the cost and compare this spend to other models, then show you how much you could potentially save by switching those calls to a cheaper model. When you run analyze you get an offline estimate priced against LiteLLM and gated by LMArena tiers. The general savings bands come from the research published by RouteLLM; but you can confirm this yourself using 2 commands --measure (shows the prompt-response output side by side) and --judge (a model chosen to do the comparisons). These send a sample of the prompts from the logs to the candidate models - either the default choice or set by you. This call goes directly to the model provider (never through me) as any normal LLM call would, and the response is shown and judged to either be better or worse or a tie. It's deliberately small, because I tend to over complicate/think things sometimes: analyze + capture + a few commands, doing three jobs. Cost, quality visibility, routing recommendation. Nothing is hosted. capture is an optional local proxy on your own machine, and there's no endpoint in the path of your data. You can confirm this by checking the source. I included a demo so you can check out the output. It has a synthetic 56k call log (a month's worth) showing how costs can drop from $549.46 to $343.91 a month. A 37.4% saving. Try it: uvx frugon analyze --demo or uv tool install frugon Then point it at your own logs. All feedback is welcome, especially any on the routing/quality logic, or anything else, good or bad. https://bit.ly/4ybqv9T July 7, 2026 at 01:20PM

Show HN: I ran 70 MCP servers in a sandbox and logged what they do https://bit.ly/4fqy8lt

Show HN: I ran 70 MCP servers in a sandbox and logged what they do https://bit.ly/4ybhei3 July 8, 2026 at 11:44PM

Show HN: Turbo – An open-source, fast HTTP server with a real-time config GUI https://bit.ly/4wxfjD3

Show HN: Turbo – An open-source, fast HTTP server with a real-time config GUI https://bit.ly/4grqAAa July 8, 2026 at 01:17AM

Show HN: Fortress – a stealth Chromium so your agents stop getting blocked https://bit.ly/3RkaEW5

Show HN: Fortress – a stealth Chromium so your agents stop getting blocked https://bit.ly/4wnq6PW July 8, 2026 at 01:08AM

Show HN: Free Mermaid Diagram Editor https://bit.ly/3Tmto7S

Show HN: Free Mermaid Diagram Editor I've been slowly adding some new free tools to Moxie Docs (partly for SEO, partly to illustrate some of our feature sets before any commitment) for some reason this mermaid editor one blew up on Google rankings so I figured I'd share in case people find it useful! We also have ADR, AGENTS.md, LLMs, and a few other free tools. https://bit.ly/4ePcsiP July 8, 2026 at 12:29AM

Show HN: Autoops – Multi-region data and service mesh operated by a Makefile https://bit.ly/4vkxzOW

Show HN: Autoops – Multi-region data and service mesh operated by a Makefile Hi HN, Stefan here. autoops is an infrastructure automation framework I have been using at my previous company and is now opensourced. It has been the base layer running various products and projects, and also for quickly standing up client infra. It works with Debian-based systems (apt) and sets up a WireGuard mesh with peer discovery and built-in DNS (Wesher), a distributed S3-compatible object store (Garage), and a reverse proxy and load balancer (Traefik). It supports service autodiscovery (Traefik-kop) and can be horizontally scaled to up to 150-200 nodes. As a classical example of "roll your own k8s subset using scripting", it is not yet fully integrated and currently, you need 1) to define at least a PyInfra inventory, 2) depending on whether you run containered services, a Docker Compose file, and 3) for horizontal scaling with autodiscovery, a Traefik config. The PyInfra scripts are put together in a Makefile, but that is pretty self explanatory. autoops doesn't trust supply chains, so you need to out-of-band put a couple of binaries in the general assets/ folder, and if you do containers, provide a path that contains directories named after each service and holding its Dockerfile and other build assets. Also, it's almost arm64 compatible (needs binaries for Docker and the crowdsec bouncer), can do NAT traversal (using my fork of Wesher), and container draining (using docker-rollout). Feedback is welcome. https://bit.ly/4p3NmQE July 6, 2026 at 10:59PM

Show HN: Logo Design for Busy Founders https://bit.ly/4eM8SGj

Show HN: Logo Design for Busy Founders General purpose illustration tools like adobe illustrator or affinity have a great amount of flexibility but come at the cost of complexity that isn't needed for a logo design tool. So I trimmed down the fat to a minimal set of 10 tools acting on a logo grid, when combined together makes it easy to build quite a surprising variety of logo marks pretty fast. This was a very interesting project unlike most of the work i've done over the years, this iteration (the 4th) came from progressively whittling down (vs up) affordances, if a combination of tools could do what one did, it was cut, if that tool didn't seem to behave cohesively with the rest (perhaps potentially breaking the user's mental model of the editor) it was cut. Initially i had features like layers, multiple fill colors. Naively i felt my goal was to build a minimal set of tools that achieved "logo-completeness", but i realised that would just give me a terrible Illustrator clone vs balancing learning curve to expressivity. There's still some wonky behaviour related to selecting/cutting, this will be fixed once I can put a finger to what this wonkiness is actually. It exports to SVG, transparent PNG, PSD and more. https://bit.ly/4y6kjA6 July 5, 2026 at 11:50PM

Show HN: Tracking how much of the HN front page is AI-generated https://bit.ly/3R3uswC

Show HN: Tracking how much of the HN front page is AI-generated For the past few months, I've been sending every story that reaches the HN front page through Pangram's AI detector and noting the scores. The reason I made it is that I kept noticing posts that sounded like AI-generated to me. Sometimes the comments pointed it out, sometimes a post was near the top all day and no one said a word. I wondered if the share was really increasing or if I was just primed to see slop everywhere. How it operates: The site identifies the top 30, gets each article, and evaluates the text using Pangram. Besides the live front page view, there are daily and monthly trends, with leaderboards for domains and authors that keep scoring high. I personally find it quite helpful as a sanity check on my own intuition before declaring something AI in the comments. 6,500+ stories in, it turns out the front page is still very human after all, which is the part that shocked me the most. A fraction of 13% of stories were AI flagged over the last 30 days. That's slowly ramping up (roughly a point higher than the previous month) but still not close to the feeling of 'everything is slop now' I had. At the moment it's 1 flagged story out of 30. The flagged ones still manage to get by quite well. One of them is at #6 today with 545 points and a 99% score, and the discussion section is divided on whether it's AI or not. Standard disclaimers: a detector score is not a piece of evidence, false positives do occur, and a high score can also be the result of a human coming up with the ideas and then using a model for the prose. To me, it is an invitation to examine the matter more closely rather than a judgment. Feel free to ask me anything about the setup. And yes, I ran this post through the detector before submitting it. https://bit.ly/4fkFQh2 July 5, 2026 at 08:17AM

Show HN: I built an encrypted BLE dongle for pasting stuff to air-gapped devices https://bit.ly/4vOwd01

Show HN: I built an encrypted BLE dongle for pasting stuff to air-gapped devices Definitely one of those "20 minute adventure gone wrong" projects where all I wanted initially was a quick wireless rubber ducky for bitlocker keys and the like and then I kept adding stuff like AES-256..... Currently working on adding WebAuthn/FIDO support because the hardware is already there and scope creep is a lifestyle at this point. Would love feedback, especially on the security side. Repo and PCB files are fully open source. https://bit.ly/4aEepvX July 4, 2026 at 10:13PM

Show HN: Reading Assistant Physical Books Meta RayBans https://bit.ly/4wkdt8o

Show HN: Reading Assistant Physical Books Meta RayBans Reading technical books is hard. Unknown words, confusing phrases, and misunderstood concepts requires opening your phone, starting Claude, and working with Sonnet through a series of exchanges, before finally getting it. Focusing back on reading after such a context switch can be difficult. Repeated multiple times and your attention span is gone. Fix: An assistant understands your book deeply and answers inquiries through voice while you read, side-stepping the current process entirely. All you have to do is: - Upload a PDF version of your physical book and start reading - Say "Hey Lumos" along with your inquiry ("why does det(A) mean the matrix loses volume?") - Assistant researches the contents of the book and responds - Continue reading until you need help again It's in extreme beta but works well enough where I can't read a book without it. If you're interested in trying it out, reach out. July 3, 2026 at 11:07PM

Show HN: Pieces – Social network for people https://bit.ly/3SxJ48a

Show HN: Pieces – Social network for people Hey HN, long time lurker first time poster. I built a social network called PIECES. After building a private blog last year after I had to get off IG and Substack, I decided to productize it. It's here now. It has a dedicated web experience + iOS/Android. Would love if you tried it out! https://bit.ly/4p9aiOE July 1, 2026 at 06:30PM

Show HN: Capcat – CLI/TUI to Archive Articles as Markdown and HTML (FOSS) https://bit.ly/44K4bXq

Show HN: Capcat – CLI/TUI to Archive Articles as Markdown and HTML (FOSS) Capcat is a python based CLI/TUI FOSS utility for Ethical archiving of given website or RSS source. The github repo: https://bit.ly/4vemgb0 It is generated with NLP, context-engineering, spec-driven development and LLMs. Fully functional at https://bit.ly/3QDrEq6 , with instructions for usage and documentation. The project started from my personal needs of simple archiving with structure and moved to product design/MVP exercise. I am longtime HN user, and the most value I got in years of reading is always deep in the comments section. For HN Capcat uses the official API, with rate-limits, identifies honesty with clear user agent and skips paywalled content. All usernames are anonymized with a link to the user profile. The content is delivered in Markdown format (Obsidian ready with frontmatter) and optional HTML with dark/light themes. Every source has its own YAML config file for separate control and PDF size limiter. In the folder users have an option to change the HTML theme with a minimal CSS design-system. Please consider that my focus as a product designer is in UX. I have enough of a general culture and software development principles but the code is not validated, and my decisions in building may have a limitation. Feedback is welcomed. Thanks in advance. https://bit.ly/4gdKWN4 July 2, 2026 at 11:37PM

Show HN: Salt – a systems language with Z3 theorem proving in the compiler https://bit.ly/4ffWCxG

Show HN: Salt – a systems language with Z3 theorem proving in the compiler https://bit.ly/4wnd6tP July 1, 2026 at 06:05PM

Show HN: C++, Java and C# light-weight-logger https://bit.ly/4biJd5A

Show HN: C++, Java and C# light-weight-logger This is a library I've been working on with versions for C++, java & C# where you make custom formats and Log based on them, for example you could make an ERROR Like this: [ERROR] [date, time-stamp, time-zone]

(file:thread-ID:line) but you would write it like this: // define the master format master_style = "%C[%N]%c%S%G[%D %T %Z]%c %M %G(%F:%t:%L)"; // tell the logger what colour to use for a given name logger.add_format("ERROR", master_style, Colour::RED); so now the [ERROR] part will be red, the time area will be grey, and the location grey, but you could really make any style you wanted. And once you have a master format you could also add different types of logs: logger.add_format("SUCCESS", style_minimal, Colour::GREEN); logger.add_format("INFO", master_style, Colour::CYAN); logger.add_format("WARN", master_style, Colour::YELLOW); also the %S we put in there is actualy a colum padder so you logs will be inline: [INFO] [16/06/2026 10:58:00 AUS Eastern Standard Time] Initializing core subsystem components. (src/main.cpp:1:39) [SUCCESS][16/06/2026 10:58:00 AUS Eastern Standard Time] Database connection established smoothly. (src/main.cpp:1:40) [WARN] [16/06/2026 10:58:00 AUS Eastern Standard Time] High memory usage detected on node cluster. (src/main.cpp:1:41) [ERROR] [16/06/2026 10:58:00 AUS Eastern Standard Time] Failed to write to write-ahead log! (src/main.cpp:1:42) https://bit.ly/4wbm6Sw June 30, 2026 at 03:07PM

Show HN: TakoVM – open-source sandboxing for your agent's code https://bit.ly/4oZHasT

Show HN: TakoVM – open-source sandboxing for your agent's code https://bit.ly/4wErr5p June 30, 2026 at 11:32PM

Show HN: Xenoeye – analyze network without AI using netflow, PostgreSQL, Grafana https://bit.ly/4eKAKt2

Show HN: Xenoeye – analyze network without AI using netflow, PostgreSQL, Grafana Sorry for the slightly truncated title. It should have been "Network traffic analysis and monitoring without AI, using netflow-family protocols, PostgreSQL or ClickHouse, Grafana, and some scripts". In 2026, it might seem a bit presumptuous to announce AI-free software on HN. But building a netflow analyzer manually is no less presumptuous! There are quite a few xFlow analyzers out there these days, and I'm constantly reminded of this. But I think there's always room for an alternative approach. After all, that's how software evolves, isn't it? So, how does xenoeye differ from popular (at least from popular open source) analyzers? - The analyzer has a feature called "monitoring objects". For some reason, open-source analyzers rarely use this feature, while commercial ones do. The monitoring object can be a subnet, autonomous system, geo-object (data on geo and AS are taken from external databases), application traffic (protocol, TCP/UDP ports, etc.), VLAN, etc. Almost everything in flow records can be used as a filter for a monitoring object. Of course, object filters can be composite - the classic operations AND, OR, NOT are supported. The analyzer contains a tiny virtual machine that matches each flow to an object. - We don't store all flows. At least for now. It may seem strange, but this is an important feature, especially for large networks. We store aggregated data on monitored objects. The user chooses what to store. It could be just in/out, top talkers, top protocols, etc. The time for which to aggregate data is also specified by the user. Aggregation occurs inside the analyzer. We use a fast trie-based in-memory db. Because of this, the analyzer can process flows quite quickly (hundreds of thousands of FPS per vCPU) and export a measured amount of information to the database. You can easily use even vanilla PostgreSQL. Or ClickHouse with compression. The analyzer is not very resource-intensive; small network traffic can be processed on low-end hardware or in a VM with a small amount of memory. Or you can process large network traffic on a single server, without building clusters. I know of installations with multi-terabit traffic and hundreds of MOs on a single virtual machine (of course they have a high sampling rate on their routers). - We can monitor traffic thresholds being exceeded using moving averages. That is, as soon as an excess is detected, an external script is launched at the same second (actually even faster). This feature is typically used to detect volumetric DoS/DDoS attacks. The scripts announce BGP Blackhole or BGP Flowspec and notify users via messenger. - We don't have our own visualization utility; we use Grafana. Grafana works with PostgreSQL out of the box, although some complex time-series charts require some tinkering with SQL queries. Ok, it's a controversial decision, but users (and we ourselves) are putting up with it for now. I tried to describe the rest in the documentation. Yes, this isn't the first time I've tried to announce this project on HN, and I'm under no illusions - for some reason, hackers aren't very fond of this type of software. Perhaps everyone thinks that the production of netflow analyzers is too boring a matter, there is nothing to discuss. However, if anyone is interested, it would be great to get feedback. What would you do differently than it was done and why? What do you like most about your favorite analyzer that you can't find anywhere else? How did you even see this post? This isn't AI or even a Rust-related thing https://bit.ly/4aqB92t June 29, 2026 at 10:00PM

Show HN: Privacy Friendly Age Verification System without ID https://bit.ly/4eQQDOy

Show HN: Privacy Friendly Age Verification System without ID https://bit.ly/4p10GFG June 29, 2026 at 07:11PM

Show HN: wavecat – a fully local personal agent that watches your screen https://bit.ly/4wgjDGK

Show HN: wavecat – a fully local personal agent that watches your screen wavecat is a fully local personal agent that watches your screen. It develops a rich understanding of your needs and goals by constantly viewing your activity. Don't worry, none of your personal data ever leaves your computer since all the models run locally. I think it's something cool to show a feature that local agent systems can do that cloud systems can't. If you have a beefy Apple Silicon Mac or a nice GPU, you should be able to run it! https://bit.ly/4oTVT8B June 29, 2026 at 01:00AM