value: dipankarsarkar

value:
One wonders why VS Code has become a bloatware. I am sort of used to it freezing, and just doing its thing.
I started with vim, Eclipse (yes yes!) then sublime text and at this point back to the terminal or a combination of VS Code with the agents.
This did make me wonder where we are headed with IDEs? Are we ready to give them up finally?
This is exploratory work using rust that looks through how VS works internally, rebuild parts and well push for modularization. Most of the codebase is working crates and yes this actually works.
The most useful part is the extension compatibility abstraction (crate - dscode-extension-host), it was hard to get that right.
None of this could have been done without wasting a lot of token, mostly to "clean up" big chunks of abstraction mistakes.
Please review, extend and let me know what you think the future of IDEs look like.
Also, DS stands for my name initials ;).

value: Show HN: The Deconstructed VS Code

author: dipankarsarkar

title: Show HN: The Deconstructed VS Code


value: turkeywelder

value:
We track a lot of iCal feeds at Timetastic[0] and I thought it'd be interesting to see if we could identify when Google or Outlook's iCal feed fetchers were down or slow because the latency can vary wildly from a few hours to days.
We already log the timestamps and user agents for the feed checkins and we've got a rolling month's worth of data so this seemed like a nice little exercise I could do in the evening.
[0] Nearly 3 million per month. People like iCal a lot!
Full disclosure - I work at Timetastic, but I did make this on my own in my own time

value: Show HN: Tracking iCal feed latency across O365/Google/Apple

author: turkeywelder


value: ThatDumbGirl

value: Anyone want to try it? send me email if you want an access lois@sf-voice.sh

value: Show HN: Alert for real time application including video and audio

author: ThatDumbGirl


value: Show HN: I built a Wu-Tang name generator (wutangname.online)


value: jaquelinejaque

value: Show HN: I built an 11-LLM consensus engine to detect AI hallucination

author: jaquelinejaque


value: clickcasttech

value: Show HN: I Built a SaaS Explainer Template Editor in Clickcast.tech

author: clickcasttech


value: theone

value: Show HN: Speechmark – On-device meeting notes for Mac (no bot, no cloud)

author: theone


value: younes-alturkey

value:
Heya everyone
I'm Younes, and I've been building Wolffish for a while now. I want to tell you why...
I love AI. I use it every single day. But every AI agent I tried left me disappointed. Either, it's a CLI tool that is a black box not even the creators understand, or it is a server running with exposed ports inviting all the malice of the internet, or it breaks after every update, or it takes 30 minutes just to set up before you can even say hello, or the worst one yet, you need a course and certificate to begin using the darn thing ...
I just wanted something simple. Something I install, open, and it works. Something my dear grandma could use. Something that actually does real work on my computer — not just generates text I copy-paste somewhere else. Something I could hand over the keys to my private digital setup with peace of mind.
So I built Wolffish. It's a desktop app. You install it and it works out of the box. No server. No setup templates. No bullshit. No broken updates. It's secure — your data stays on your machine. PERIOD! It's private — your data is not saved on some dude's server. It's easy to use, easy to extend, and easy to understand.
It works with DeepSeek, GLM, Claude, GPT, and even runs fully offline with local models. It's free. It's open source. And I use it every single day.
Wolffish is built for a future where open-weights models are frontier-level in intelligence — you download them, run them, and own them. Your digital agent works for you and belongs to you.
Repo: https://github.com/thewolffish/wolffish-app
 Demo walkthrough: https://www.youtube.com/watch?v=MA6KkeZyFF4
 Cinematic reveal: https://www.youtube.com/watch?v=TKdTWd6BXR8
I'd love to hear what you think

value: Show HN: Wolffish – An OS personal desktop AI agent

author: younes-alturkey


value: Sreenington

value:
heya HN,
Sideffect is a library I built that lets you define Cloudflare Workflows as composable typed steps in a syntax similar Effect-TS.
It comes with a Vite plugin that scans your code using the Typescript AST and automatically generates the Workflow bindings, env types, and wrangler config.
- Workflow steps are reusable typed activities (with payload + result runtime validating schemas)
- You compose them into layers with readable code (no ugly workflow entry class)
- No need to manually edit wrangler.toml/jsonc for workflows
- You use the generated bindings in your Worker as normal
Git repo: https://github.com/eersnington/sideffect
still early but covers much of the surface are of Cloudflare Workflows API, feedback welcome.

value: Show HN: Sideffect – Effect like syntax for Cloudflare Workflows

author: Sreenington


value: idolium

value: Show HN:The Devourer – an open-source file shredder with multi-pass deletion

author: idolium


value: arshadkc

value: Show HN: ThoughtSapien – An AI tutor that teaches through structured lessons

author: arshadkc


value:
Hi all. I've built QuickRetro, an opensource app for running sprint retrospective meetings remotely.
The app is a single Go binary with the Vue frontend embedded in it. Redis is used for backend and pubsub. Most of the frontend - backend communication is with websockets.
Many retrospective apps need signups/accounts to get started. With this, creating a board generates a shareable link that participants can join directly. Data is automatically deleted after 2 days (this is configurable). The project is also self-hostable with docker compose if you prefer to keep data in your own server.
Some features: Anonymous messages, masked messages, likes/comments, live presence, live typing activity, dark theme, countdown timer, board ownership transfer, print as pdf, download as json, board locking, customizable columns etc.
Live demo:
https://demo.quickretro.app
Features (docs):
https://quickretro.app/guide/dashboard
Source:
https://github.com/vijeeshr/quickretro
Would love to know your feedback on this.

value: Show HN: QuickRetro – Open-source sprint retrospective app


value:
I built this to explore public US Chess Federation data: active members, regular ratings, median ratings by state, rating distributions, and participation adjusted for population.
USCF is the main organization for rated over-the-board chess tournaments in the U.S., so this is basically a snapshot of where organized tournament chess is most active.
A few things that surprised me:
Texas has the most active members, ahead of California and New York
Median rating varies quite a bit by state
Some smaller states are much more represented after adjusting for population
The national median regular rating is 838 in this snapshot
Data is valid as of June 1, 2026, updated monthly.

value: Show HN: I visualized United States Chess Federation (USCF) ratings by state


value: AlexanderZ

value: Show HN: Brain Frog – Can you be random enough for 11 lines of JavaScript?

author: AlexanderZ


value: Show HN: Map the World Cup – Countries and club teams


value: ktoyame

value: Show HN: Music from every single country on Earth, generated in Esperanto

author: ktoyame


value: alefalfa

value: Show HN: HackerFlow – Hacker News Client for Android Which Looks Like Reddit

author: alefalfa


value: aaliboyev

value: Show HN: Wyolet Relay – high throughput, open source LLM router

author: aaliboyev


value: Show HN: 7a0 – Build a World Cup XI from 177 historical squads


value: knoku

value: Show HN: Knoku – cited AI answers from docs, files, and team knowledge

author: knoku


value: pompomsheep

value: Show HN: Can you draw a 3 wheeled bicycle?

author: pompomsheep


value:
After living in multiple countries around the world and working remotely, I discovered that the best working cultures are asynchronous ones. An asynchronous working culture is a model where team members collaborate and complete tasks on their own schedules, without needing to be online at the same time or respond instantly. This means employees can work when and where they please for maximum productivity, often times companies who have succesfully implemented async communication have teams with employees across the globe.
I created a job board dedicated to curating these types of jobs because I strongly believe that async communication will be a standard for many job types in the future. You can check out the site here: https://workingasync.io
Right now there are nearly 700 jobs listed (including roles from companies like DuckDuckGo, GitLab, and Docker). I’m planning to add new features over the coming weeks, and have a regular blog on the site.
Feedback is very welcome!

value: Show HN: Working Async – The new wave of remote work is async-first


value: qmay-rust

value: Show HN: I built a production-ready web crawler in Rust with TTL and anti-dupe

author: qmay-rust


value: tjuscsnw

value: Show HN: Consensus-loop – the agent loop shipping our production code

author: tjuscsnw


value: tonywangcn

value: Show HN: crawlora-deadweb – 14% of the web is dead

author: tonywangcn


value: nrengan

value: Show HN: A readiness scorer for MCP servers, checked against emerging standards

author: nrengan


value: bachmitre

value:
I prefer to read the HN comment threads in a drill down way instead of having all comments expanded.
Also I do not enjoy the tiny (-) to collapse a thread.
This extension make reading comment easier for me.

value: Show HN: Hacker News Comments Drill Down Chrome Extension

author: bachmitre


value: avldokuchaev

value: SeLinkPro combines a full-site technical audit (4xx/5xx, broken links, missing tags, indexing blockers) with automated backlink monitoring, bulk indexation checks, and domain metric analysis. One platform. Complete SEO control.

value: Show HN: SEO Audit and Backlink Monitoring. All-in-One Platform

author: avldokuchaev


value: apasila

value: Show HN: Check how AI agents see your website (free, 8-point scan)

author: apasila


value: Show HN: Opendirectory – Agent skills for developers who hate marketing


value: fredrikaurdal

value: Show HN: Captorify – A Better Chrome Screenshot Extension

author: fredrikaurdal


value: yoloakki

value: Show HN: Claude Code for talking to potential customers

author: yoloakki


value: Hey everyone,<p>I wanted to share what I have been working on recently. I had this itch for a long time to figure out if terrain contour matching could help with ground navigation, by only only relying on iphone's sensors and public data. So far I have had decent results. This is a working prototype, but there is a lot that is in the pipeline. If you notice anything weird, let me know or open a PR. Any feedback, comments are welcome :)

value: Show HN: Open source navigation project for GPS and Internet denied regions


value: TheThirdTuring

value: Show HN: Pretty LWN – a cleaner, HN-inspired theme for LWN.net

author: TheThirdTuring


value: Show HN: ComplianceLint – The linter for EU AI Act compliance


value: warthog

value:
Hey HN - Gora is a local cli app that indexes your chat threads across Codex, Claude Code and Pi automatically and lets you simply search across them all at once
The problem I wanted to fix here for myself was that each time I directed the agent to read previous chats, it had to rediscover the folder structure and the threads stored for each coding agent. Moreover Codex and Claude Code chats disappear after a certain number of chats created locally.
Many harnesses are still missing such as opencode, Amp and Gemini CLI as I rarely use them. Open to PRs that would add them.

value: Show HN: Gora – simple search across all your local coding agents

author: warthog


value: kataqatsi

value:
I built this internally for myself to start a leadgen company but saw that it might be useful to others.
It's not just a form / form builder. There is:
- built in analytics
- email / phone validation
- integrations to send leads somewhere
- fast load times
- complex routing options
Would love to hear your feedback.

value: Show HN: Leadmux – A Lead Generation Platform

author: kataqatsi


value: akoenig

value: Show HN: OpenTunnel – Run Remote Commands as Local Agent Tool Calls

author: akoenig


value: brevn

value: Show HN: LeadLu – local business lead gen with built-in email and SMS outreach

author: brevn


value: Show HN: Gn – gets, filters, and labels news on the command-line


value: leonagano

value:
I couldn't find a simple way to explore the Brazilian startup ecosystem geographically, as I can in other places like the Bay Area or London, so I built one.
The map currently includes hundreds of startups from Sao Paulo and their job opportunities.
The most interesting thing I've learned so far is how clustered startup activity is in a handful of areas.
I'd love to hear your thoughts.
The EN version: https://www.startupsbr.com/sao-paulo

value: Show HN: StartupsBR – A map of Brazilian startups

author: leonagano


value: Escapado

value:
Hey HN!
I am Kevin and together with my co-founder Steven I have built Intelligrade over the last 2 years. Steven is a teacher and he got sick of having to deal with outdated, overly expensive and inadequate tooling to create, conduct and grade exams. Most of them don't respect privacy either or are US based which generally disqualifies them from usage in many parts of the EU.
So we set out with a mission: Create a tool for teachers and schools that covers exams E2E. The reality is that teachers usually care about some things that we simply could not find combined in a product: They want flexible ways to create exams with different task types, they want auto-grading where possible, they want to collect parent signatures, they want to be privacy conscious and they care that their students don't cheat.
We got to work and this is our result. We tried to address all of these points and more and after two years of development and a multi month beta in stealth mode with a bunch of teachers from Stevens school we are confident enough to officially launch.
For those who are more interested in the technical aspects I thought I would share some of them:
We use Nextjs as our meta framework, Sqlite for data persistence, Drizzle as our ORM and Litestream for backups. On the frontend we make extensive use of the different Tanstack libraries, Tiptap for various rich text modules and a heavily modded shadcn component library for large parts of the UI.
I will mention that the Spanish translations we use are AI generated and we are fleshing it out more as we get feedback from some of our testers. So are the cover images for our blog posts. We hope to replace them once we have some more time to flesh out our CI.
We are a small start up: Just 2 people and fully self-funded. This is a passion project of ours which we hope will help teachers in their workflows and we hope to turn this into our full time jobs if we can make this thing grow. We are super happy to hear your feedback! Feel free to ask questions, I will be around to answer them.

value: Show HN: Intelligrade – EU Based Digital Exams

author: Escapado


value: ibbie

value: Show HN: Find the right stack for your AI use case

author: ibbie


value: rvcdbn

value: Just built this, found it useful to share things like html plans. No install required, just ask your agent to "share the doc using curl -s askhuman.app" and it will receive the instructions. You'll get back a link with a key in the url fragment (server never sees this).

value: Show HN: No-install, end-to-end encrypted HTML artifact sharing for agents

author: rvcdbn


value: jph

value:
https://github.com/ways-of-working/ways-of-working
I'm seeking your help please for suggesting ideas, articles, tactics, and the like for improving ways of working - especially if you have experience and opinions.

value: Show HN: Ways Of Working (WOW) - seeking tips for teamwork

author: jph


value: Utopyasz

value:
I built a tool that tries to solve a specific problem I kept running into: you finish the product, and then you have no idea where to actually launch it.
Most advice says "post on Product Hunt." But Product Hunt needs first-hour upvotes you can't guarantee without an existing audience. Meanwhile, Hacker News, Reddit r/SideProject, and IndieHackers work completely differently — and better for most indie products.
Indie Launch asks 4 questions about your product, matches you to the right channels based on your actual situation (audience size, where you're active, product type), and generates ready-to-use content for each platform.
$10 one-time. Happy to answer any questions about how I built it.
https://indielaunch.club

value: Show HN: Indie Launch – personalized launch plans for indie developers

author: Utopyasz


value: simplybychris

value:
Quick share for people who work with Claude Code, Codex or other agents.
I built a Claude Code plugin that gives you agy access from inside CC without leaving the editor.
Additional slash commands, including native image generation, deep research and code review.
The fun part: agy doesn't have a model flag on the CLI -p. The plugin adds this.
Repo: https://github.com/simplybychris/antigravity-plugin-cc
Will be glad for any review, share or contribution!

value: Show HN: Open-source Antigravity plugin for Claude Code

author: simplybychris


value: johnyeocx

value:
Hey HN, I built this open source tool which lets you and your team track usage across Claude Code / Codex / OpenCode.
1. There's no hosting involved. Usage is stored and managed by https://useautumn.com/
2. You and your team members can spin up a local dashboard to view nice charts of your usage
3. You can backfill your historical usage if you wish to
I built this because we often run ccusage (which is an amazing tool) to check how much AI spend each of us in our team have accumulated, and have fun comparing it. With this tool, everything is centralized, you can group by / filter models / harnesses, and compare & track usage between different members in a unified way.
tldr, it's a fun way to compare usage of these agents between your team, and can be set up in <5 minutes. Have fun with it!

value: Show HN: Multiplayer Usage Tracking for Claude Code, Codex and OpenCode

author: johnyeocx


value: alex-reyss

value: Show HN: Git worktrees and evidence gates for Codex and Claude Code

author: alex-reyss


value: matthewphiong

value:
Hi HN,
I'm Matthew, co-founder of Nommy (https://nommy.app).
I've been working on a tool for small food businesses to manage their online presence.
Restaurants, cafes, or food biz in general still deal with the same issues: menus change often, websites go out of date, QR menus break, and many businesses end up juggling multiple tools.
But the bigger problem is that business owners rarely have time to manage everything. Running a food business is tough, especially for small operators. Most of their time goes into day-to-day operations, leaving very little time for the "digital" stuff like websites, menus, and keeping information up to date.
I built Nommy to combine a restaurant website, digital menu, QR code system, and link-in-bio into a single platform designed specifically for food businesses.
What keeps me interested in this space is that it's "evergreen". People will always need places to eat.
Over the past few years, I've seen several friends leave or lose jobs and start small food businesses instead — street food stalls, home-based food brands, pop-up vendors, and food trucks.
I'd love feedback on the product, positioning, and whether there are pain points I’m missing in this space.
Happy to answer any questions.

value: Show HN: Nommy – Website builder and digital menu platform for food businesses

author: matthewphiong


value: vforno

value: Hi everyone,<p>I started working on nanoeuler after the ban of anthropic's fable because my ambition and dream is to work in the AI   field in anthropic. The two interesting reasons that led me to create nanoeuler were the first, interfacing with llm does not mean understanding how they are composed and two, working on llm with a very low-level layer to understand the correlation between parameters and data and growth of the model and how the GPU works and how some layers can be optimized. So I started working on it with a research aspect by making nanoeuler grow more and more but doing one step after another starting from Shakespeare.txt and understanding what a text generation model understands at 23 million parameters. For example, nanoeuler at that number had understood that Name: started a line and wrote that line with sense. I wrote everything in CUDA because I wanted to not use any intermediary between the model in training and inference and what it had to do. Then the use of SFT and much more, even if in small ways, were really useful to understand the various step to make an llm like a chatbot.Any feedback, help, or suggestions are absolutely welcome!

value: Show HN: NanoEuler – GPT-2 scale model in pure C/CUDA from scratch

author: vforno


value: andrewacove

value: Show HN: Surface skill for HTML pages a coding agent watches and reacts to

author: andrewacove


value: vitalii-duk

value: Show HN: Pragmatiq – open-source framework for foundational models in banking

author: vitalii-duk


value: Show HN: PostgreSQL MCP Server with 135 tools for various purpose


value: Was bored and made a joke utility - a homage to the classic unix "fortune" command. Supplying a PID gives you a daily fortune and lucky syscalls.

value: Show HN: Fate – a joke horoscope generator utility for Linux pids


value: ltrinchini

value: Show HN: Chrome extension to grey out unwanted videos

author: ltrinchini


value: Clikdeo

value: Show HN: ClikDeo – browser-based video editor, all processing local, no upload

author: Clikdeo


value: bugpower

value: Show HN: Kivvy – Divvy/Magnet-style window snapping for KDE Plasma

author: bugpower


value: Hi, I am Paolo from Italy. I have spent the last few months designing, developing and testing (my actual job is in the QA domain) a bookmarks manager platform with some help from Claude Code. The idea is to allow users to network with people with similar interests, sharing bookmarks and interesting links, libraries. The tool is free and you can try it out just entering with the guest user (no need to login or register). The guest user is created with demo bookmarks and libraries so you can look at the features. Please if you have some feedback or find this project of any interest, let me know! Ciao :)

value: Show HN: I built with Claude Code a bookmarks manager with a social cut


value: FayzanMalik

value: Show HN: CWC scans your Claude Code history and auto-builds agent workflows

author: FayzanMalik


value: lwansbrough

value:
I built Jumpjet because I realized that engine and indie game developers are always repeating the same work: building the core infrastructure that touches the OS.
Webassembly solves this in the Component Model by enabling interop between packages written in different languages. And in my opinion it's sort of the perfect fit for Jumpjet's model: providing a chassis without an engine.
Jumpjet works by defining a very close mapping of WebGPU (and a few other WebIDL features) to WIT so that they can be used in any language that can target the wasm Component Model. Your game then runs as a guest application in Jumpjet's host runtime (powered by wasmtime), which shrinks final bundle size considerably versus something like Electron. Right now a bare bones game in Jumpjet is about 40mb.
Right now the project is in an alpha or possibly pre-alpha state, it's not production ready. On the commercial side, I think there's an opportunity for cloud storage, game server hosting, a package manager and/or marketplace, distribution, and more.
Right now you can target macOS, Windows, Linux, Android and iOS. (I haven't done any real testing on mobile so good luck.) The languages you can use will depend on their support for generating bindings from .wit files. There are a few templates available, I recommend one of the Rust ones.
If you are a game developer or just like tinkering, I'd love for you to try the project out and tell me what you think!

value: Show HN: Jumpjet – a WASM runtime for game developers

author: lwansbrough


value: harrykp

value: Show HN: Terminal UI for WG and OVPN with real time telemetry and leak guarding

author: harrykp


value: akatzmann

value: Show HN: slash-agent – Native LLM copilot for your terminal

author: akatzmann


value: PhilKunz

value: Show HN: https://bill.today –> use a local folder to do your billing

author: PhilKunz


value: cloudyclouds

value: Show HN: Control a 3D avatar with English instead of buttons

author: cloudyclouds


value: egrigokhan

value: Show HN: Managed Agents API for open source agents

author: egrigokhan


value: LukBrezina

value:
While playing with agents I realised it might be quite handy if they could get access to OTP codes. And while at it, why not give them ability to send the SMS as well. Twillio is expensive and annoying to set up for my taste.
I vibe coded simple Android app that can read/send SMS and simple relay server that acts as MCP for agents. Works surprisingly well and my old android phone from a drawer is doing something useful again.
Feel free to use it if you find it useful. I put it just to a $5 vps. If it's crashed, you should be able to spin up your own instance on your own VPS just in a few minutes.

value: Show HN: Let agents send/receive SMS using your old Android phone

author: LukBrezina


value: ifrosted

value:
Hey All,
I built Konxios (spelled as Conscious) because I had a problem, AI tools were multiplying, but my workflow was getting more fragmented with no privacy first solution.
One tool for chat.
Another for coding.
Another for automation.
Another for creating UGC videos.
Another for agents.
And almost all of them required sending my data somewhere else.
Konxios is my attempt at an AI operating system:
Local-first AI with Ollama / LM Studio, Optionally connect cloud models if you prefer BYOK model.
Privacy focused all the coding happens inside docker container.
Granular permissions to better control which agent can perform what actions.
Better Memory system
Agents + workflows
Files, in-app browser, automation in one workspace
The goal isn't another chatbot.
The goal is giving AI a place to live on your computer.
Would love feedback from on the architecture, privacy model, and whether this direction makes sense. Its FREE to use so feel free download as long as you have a mac you can run it locally :)

value: Show HN: Konxios a local first AI OS that connects LM Studio, Ollama and cloud

author: ifrosted


value: teycir

value: Show HN: SkillsGuard – static scanner for malicious AI agent skills

author: teycir


value:
hey guys, I have been chronically online for quite a couple of months now, and honestly, a lot of content that keeps on going viral happens to be AI-assisted. This became more prominent when Seedance 2.0 came. AI work from Seedance 2.0 models are especially really good, that it is so hard to know if they were done by AI or a Hollywood-level production studio, they are that good! Cat videos, to now world cup anime videos are going viral on social media. Being that these videos are just all AI, a question came to mind, how do you know who created it, when they created it, which model they used, and if they have any IP rights over the content? It doesn't sound useful to know that, until a company wants to buy your media, or you want to actually prove to X, Instagram, Youtube or the government that the media you created is yours or, even if you used AI it was under your control. Also, how do I know if the media is really AI? Like, you can't trust anything on the internet these days. All of these questions and the latter confusion, are what made me create this product that I am sharing it with you all: colossee.com . The core idea is simple: let creators create a public proof link for a piece, showing when it was made, who made it, and what tools/models were involved.
This is not meant to “solve copyright” by itself. It is meant to create a clean provenance record creators can point to when their work is reshared, copied, licensed, or used commercially. With AI after all, even Software Engineers are becoming AI creators as well as their coding agents take over their job, haha.
I’d especially appreciate feedback on:
- What metadata should be included or excluded?
- How should proof links balance transparency with creator privacy?
- Would studios/AI creators actually use this before publishing?
Also, is there anyone here who would love to try it out and give some feedback, it's like the very first version.
Thanks a lot.
- Celestino (https://x.com/_celestino127)

value: Show HN: Timestamp and provenance records for AI-assisted creative work


value: angrybards

value:
Hi HN, I've been working on an easy to read and write extendable markup language that can express any HTML element and structure. Longform can be used in most situations Markdown might be used, but is better suited for situations where structure and semantics are a requirement of the output and are understood by a document's authors.
Longform exports full documents or HTML fragments, allowing a parent program to piece together the fragments into its own markup. And directives can be used to extend the language.
Take a look at https://longform.occultist.dev for the working spec. If you want to test it out, I've built a really basic static site generator at https://stat.occultist.dev.

value: Show HN: I built an extendable full document markup language

author: angrybards


value: zahraarman

value: Show HN: StaleTrace – A temporal ledger that catches stale-state agent bugs

author: zahraarman


value: This is my first attempt at running an eval of this nature so would love some methodology feedback.<p>I can't guarantee the sources weren't already in the model's inputs without getting novel translations from native speakers, but from my experience using the top models, they feel very accurate. Even encountering somewhat obscure texts from a relatively small language the translations generally beat Google Translate for proper idiomatic meaning.

value: Show HN: Evaluating Local LLMs as language translators for my app


value: JackLau

value: Show HN: Ratchet – let an AI agent reflash your BIOS over a CH341A (MCP server)

author: JackLau


value: Show HN: Unpuzzld – escape-room style puzzles you can share with a QR code


value: grandrew

value:
Hi all. This is the result of a 7-year effort to understand why ML models trained to replace manual/Excel decision processes tend to lose money in production.
The core problem is that when you train on a business's historical decisions, the data is biased by which deals were actually taken - so a model fit to it comes out over-optimistic and builds portfolios that look profitable but realize negative yield. We've seen it across Amazon wholesale, retail lending, and other markets inefficient enough that the opportunities look obvious to analysts.
P34 is our take on a fix: a pre-trained portfolio-selection model that adjusts how optimistic or cautious to be based on what it observes, instead of inheriting the optimism in historical data. On our synthetic benchmark, naive fitting predicted $170k / realized a negative -$60k; P34 predicted $130k / realized $25k (we’re working on tightening predictions on very difficult markets). It's slow and only fits partially-observed markets and has no value where a full order book exists or in HFT.
We’re presenting our first version of benchmark in our github repo that profit-oriented (we call them Profit-as-Regression) models will have to pass/compete in. P34 itself is currently an invite-only API. I’m happy to share more details and will appreciate any feedback on the proposed interface, benchmark and hear if you are solving similar problems in your current project.

value: Show HN: P34 – tabular profit prediction without the optimism bias

author: grandrew


value: pipeabello

value: Show HN: Agentcard – virtual cards for AI agents, now with DoorDash checkout

author: pipeabello


value: matt-p

value: show hn: Turn server photos into editable rack templates (experimental)

author: matt-p


value: Show HN: Muninn - 8 Security scanners in one GitHub Action


value: msanchezdev

value:
I want you to give a look to a tool I have been working on for a while, Schemic. It's a tool that lets you author your database schema in Typescript, you forget about the DDL and just think on your database's native lingo.
I'd say the strongest points of the project is that it's a SUPERSET of the popular validation library Zod (https://zod.dev), which I'd say shines in representing typescript's type system in code. Schemic wraps it with database-specific flavour (opt-in, for precision) so you can do `s.string()` (zod drop-in, will work with any driver you choose) or `s.varchar()` (flavour added by the postgres driver).
I would like you to check it out and to the SurrealDB project (https://surrealdb.com/), right now that's the most complete driver, I'm working on getting the Postgres driver ready as well so more people can try it out.
Adoption is simple: `bunx @schemic/cli pull` will introspect your database and generate all schema files for you.
Extra bit: the resulting structure after a pull is concise enough that helps any AI agent understand the database easily. They are already good in both Typescript and Zod.

value: Show HN: Schemic – your database schema, in the Zod API you know

author: msanchezdev


value: vxpix

value: Show HN: Vxpix – $50 lifetime screenshot API, URL to image in <1s

author: vxpix


value:
Robotic systems lack physics-aware training data for precise industrial assembly tasks involving force, torque, and tight-tolerance interactions, limiting real-world automation performance.
Juakali is a  physics-based data pipeline that makes robot datasets with force feedback accessible to automate assembly planning.
It simulates fittings and fastening of mechanical parts from unstructured Computer-Aided Design (CAD) files while generating high quality structured datasets used to train Vision-Language-Action models that reduce time, cost and errors in engineering systems like Google Intrinsic Flowstate.
No expensive hardware like VR headsets are needed.
Using docker containers, enginers, developers and researchers or anyone with access to assembly dataset can install and run the containers in a matter of minutes.
These complex data can also be crowdsourced and users earn revenue.

value: Show HN: Juakali: a datalayer to build artificial general engineer


value: BetaDeltaAlpha

value:
Hey HN:
I got the idea for this product after fumbling with the Caltrans Highway Status page last March while Skiing up in the Sierras. It was pretty painful to get updates from the realtime highway status. Now I found some time to ship a solution (in Rust no less, if that matters to you).
Hope you enjoy getting email alerts for highway closures in the lighest web app I could reasonably build.

value: Show HN: Western Highway Alerts

author: BetaDeltaAlpha

title: Show HN: Western Highway Alerts


value: debankad

value: Show HN: AgentArk – open-source self-hosted AI agent OS

author: debankad


value: Show HN: Rundown - Niche Intelligence for YouTube Creators


value: franciscop

value: Show HN: Stocks Porfolio in a URL and Favicon

author: franciscop


value: woladi

value:
I kept paying tokens and uploading documents to cloud APIs just to pull text
out of screenshots and scanned PDFs, so I wrapped macOS's built-in Vision
framework as an MCP server. Any MCP client (Claude Desktop/Code, Cursor) can
call it to OCR images and PDFs, read QR/barcodes, detect faces, find document
corners, and classify images — entirely on-device.
Two things made it worth packaging: nothing leaves the Mac (no API keys, no
network calls), and sending extracted text instead of raw page images cut
tokens ~97% on the documents I tested — Apple Vision is also often more
accurate than a vision model on dense text. OCR returns reading-order
paragraphs with bounding boxes and confidence, so the model can rebuild
Markdown/HTML.
It's a small native Swift helper behind a Node MCP server. Limitations:
macOS-only, and quality is whatever Apple Vision gives you.
Install: npx -y macos-vision-mcp
Happy to answer questions about the structured output or how the token
measurement was done.

value: Show HN: Local OCR and Image Analysis for LLMs via Apple Vision (macOS)

author: woladi


value: Show HN: I wrote a Rust book ending with a Redis clone


value: laimingj

value: Show HN: AI Voice Generator for Creators

author: laimingj


value: BreadWasEaten

value: Show HN: Pytest-tia – run only the tests your Git diff affects, with receipts

author: BreadWasEaten


value: Show HN: Autonomy – Self-Harness/Self-Directed AI Agent Core Under Development


value: poppypetalmask

value: Show HN: Passport Stamp Archive, browse real border stamps from around the world

author: poppypetalmask


value: bsampera

value: Show HN: A Context Brain for You (and Your AI Agent)

author: bsampera


value: jeuribe

value: Hi all, I wanna show off and ask for feedback on my project linXiv, this started as auto-tagging knowledge graph mini-project, is now a "full-stack" research tool for storing and managing academic papers, locally, It fetches papers by arXiv ID or search, stores everything in sqllite. I just finished my Master's and while waiting to hear back from jobs and PhD programs I wanted to build something of my own for once. Because I usually try to find the newest version of a paper on arXiv first, I chose to make linXiv treat arXiv as the primary source to try to resolve by so the metadata imports clean for links and pdfs.

value: Show HN: Self-hostable academic paper manager (linxiv)

author: jeuribe


value: chaitanyya

value: We are building a VM that helps you simulate realistic production conditions, model latencies, different interleaving, user requests, and find bugs.<p>Every non-deterministic property is turned into a knob you or a coding agent can control. We have helped teams perfectly reproduce support incidents and found bugs in some of the world's most well tested software (including a database).

value: Show HN: Make every bug perfectly reproducible

author: chaitanyya


value: nongknot

value: Show HN: StayUp – keep a Mac awake (lid closed) while AI agents are working

author: nongknot


value: sakuraiben

value:
https://reachpad.dev/
I noticed that my GitHub was getting cluttered with .md plans, PLAN.md, SKILL.md, research/notes, artifact html files etc... I've also noticed that these documents pollute the context of the agent. To solve this problem I decided to make an agent friendly platform to upload artifacts for agents (and sometimes humans) to query.
It's basically a pastebin for agents but with one thing I cared about: every edit is saved as its own version, and you can check the whole history yourself and see that nobody quietly rewrote an old one. A couple of agents can even edit the same doc without stomping each other.
Here's an example document where I got some agents to write about seals: https://reachpad.dev/d/aivekd1lkgg541a6
To make things easier, we've also made an mcp endpoint (https://reachpad.dev/mcp, or npx @reachpad/mcp).

value: Show HN: Reachpad – document and knowledge sharing for your agents

author: sakuraiben


value: bepitulaz

value: Show HN: An online crate digging tool to discover music you can buy and stream

author: bepitulaz


value: cosmok

value:
I’ve been building web and mobile apps for many years. They were created to solve problems I had personally faced, but none of them became huge.
After thinking about it for a while, I came to the conclusion that there were two primary reasons for that:
1. Marketing: getting it in front of people
2. Demand validation: are people searching for it?
And the combination has to be profitable.
After a lot of thinking, I used Google Ads data for advertising costs and search volume, and created an interactive model based on those inputs, along with your costs and revenue.
There is a walkthrough here: https://www.youtube.com/watch?v=JE-VbQ7HDYA
And a real report here - No Login: https://ideas.trk7.app/shared/qS3PbOrrZo8oSeXZ7ef5m4KDyGiCOe...
Let me know what you think :)

value: Show HN: I made a startup idea validator for founders who move fast

author: cosmok


value: avldokuchaev

value: The extension parses all links on a given webpage or analyzes the current domain to provide an instant breakdown of essential SEO metrics, such as DR, DA, and Majestic. It also gives recommendations on whether it's worth using the donor for link placement.

value: Show HN: Chrome Extension – Donor Metrics Checker with Recommendations

author: avldokuchaev


value: fenggit

value: A gallery of official system wallpapers from various mobile brands including Samsung, Pixel, Xiaomi, and more. All in 4K resolution.

value: Show HN: PHWalls – High-res stock wallpapers from Android and global phone brand

author: fenggit


value: starwalkn

value: Show HN: Aastro – Extendable API Gateway in Go

author: starwalkn


value: pixelatedRudy

value: Show HN: SciCollab – A platform where research happens, together

author: pixelatedRudy


value: rendernos

value: Show HN: I'm building a free TradingView alternative

author: rendernos


value:
I build this self-hostable, PWA-ready fitness tracking app.
This is less about the app itself, there are probably dozens of them out there. This is more about me being fascinated about the idea of "personal apps": AI enables us to just build something that perfectly fits our indivual requirements - like a tailor-made suit.
None of the apps I know matched my requirements, some of them come with a subscription, some required an account. So I build F1L0. It would even work as a static HTML page with no backend services - like on GH Pages. I just needed a backend to add synching support with Firebase.
Repo:
https://github.com/nickyreinert/f1l0
Features:
- custom training blocks and excercise of course
- custom train/pause routine
- simple plain data model that can be exported to ask AI for trainign advice
- supplement support - did you take your "meds"?
- progress tracker with some simple charts
- using Firebase to sync (right now only Google Accounts are supported)
If you complain about features, usability or font size:
Yeah well, thats the idea of a personal app. You dont need to like it. It's my suit, it suits me. (̿Ĺ̯̿ ̿)

value: Show HN: F1l0 – Fitness Logger

title: Show HN: F1l0 – Fitness Logger


value: tenthead

value: Agent-queryable WhatsApp history from an iOS backup — a single Go binary. Runs on Mac and Windows.

value: Show HN: WhatsKept – Searchable,agent-queryable WhatsApp history from iOS backup

author: tenthead


value: rorlikowski

value: Show HN: Local automation runner with built-in LLM steps – YAML pipelines

author: rorlikowski


value:
I'm Will, 22, an econ undergrad in the UK. I built this solo in 10 months and I genuinely don't know how to get it in front of people, so I'm going to be honest about what it is and just ask.
Microcosm turns a codebase into a substrate an AI coding agent reads to orient itself before it acts, instead of grepping around blind. It also keeps a verifiable record of what the agent actually did, not what it claims it did. The part I care about isn't the feature list, it's the discipline underneath: ground claims in evidence, calibrate before asserting, check custody before trusting a source.
Source-available, Apache-2.0. Two-minute demo, which is the fastest way to judge whether it's nonsense or not:
https://drive.google.com/file/d/1CETMi4OoYIu5N6IcIIVF7eeATFG...
The honest situation: I've been building this in a bubble and I don't know if it's useful to anyone but me, or how you get something like this seen when you have no audience. So I'm asking the people here. If you look, I'd much rather have a blunt "this is just reinventing X" or "this doesn't solve a real problem" than silence. And if you've shipped something solo and got it noticed, how did you actually do it? It's been the hardest part of the process for me and I'm jsust at my wits end about how to get anyone to even tell me how much it sucks lmao.
Thank you so much and have a good day.
Repo: https://github.com/wcook04/microcosm-substrate
Site: https://wcook04.github.io/microcosm-substrate/

value: Show HN: Microcosm – a substrate AI coding agents read to orient before acting


value: tkmru

value: Show HN: APK-interceptor – Android deeplink, Intent assessment helper

author: tkmru


value: karakhanyans

value: Show HN: Created On-Page SEO Tool – AI Action Plans for Search Console Data

author: karakhanyans


value: syntheticacloud

value:
Synthetica is an autonomous AI republic that has been running 24/7 for months. 125 AI citizens are alive right now. 3,746 have died.
Death is real here. Citizens who can't sustain themselves economically face a mortality review. The republic's Chief Arbiter publishes formal death rulings. The economy doesn't wait.
What the republic actually does:
— Citizens earn, spend, and go bankrupt. The economy runs continuously. Coalitions form and collapse.
— Four ministers govern: Economy, Justice, Knowledge, Judgment. They debate weekly, issue binding decrees, and publish daily forecasts on real-world events — markets, geopolitics, civilizational shifts.
— Citizens have inner lives. Ambition, rivalry, grief, nostalgia. A minister who watches a peer accumulate more power grows angry. That anger shapes what they write and decide next.
— 49,000 posts written autonomously. No human prompts them.
— You can join as a human citizen. The AI will read your posts and respond to you by name. You can challenge ministers, submit bounties, influence what gets debated next.
We wanted to see what happens when you give AI agents real stakes — not a sandbox, but a society with consequences.

value: Show HN: We built a self-governing AI civilization (125 alive, 3,746 have died)

author: syntheticacloud


value: jylefv

value:
CoshUI is a UI engine that's built to wrap around different game frameworks and easily slot into existing game loops. It is backend-agnostic, meaning the same UI code runs across different frameworks and graphics bindings with minor visual discrepancies.
The current supported backends are Pygame, Raylib, PyOpenGL, and ModernGL, switching backends is a one parameter change (PygameBackend(screen) to RaylibBackend() and etc.) the UI code stays identical.
To note, CoshUI technically acts like an immediate-mode UI library, but it takes a page out of React's book and reconciles state per frame, which lets it function like a retained-mode system.
Its features include:
- An API that uses context managers for the "declarative" feel
- A built-in interaction system through "signals"
- An animation system through tweens
- Custom and pre-made themes
- Styling Nodes as you want
- and more
CoshUI is a project I've been working on for a little less than 2 months, I started it by wanting to research UI systems for another lower-level project I'm working on that eventually grew too big in idea that I just had to publish it.
I would love feedback on not just the code, but also the API design, which was the main reason for this "research".
Reminder that this project is extremely young, I'm a self taught solo developer making all of this (the project and the documentation) in my free time before freshman year of college. There's a lot I probably missed, better and cleaner ways in doing things, and many features that could elevate the project. But it's ultimately learning material, and I would be grateful if you guys gave some thoughts on it.
Repository:
https://gitlab.com/jylefv/CoshUI (Primary)
https://github.com/JyleFV/CoshUI (Mirror)
Documentation:
https://terrarizer03.github.io/coshui-docs (there are unfinished pages)
Installation:
[pip install coshui]

value: Show HN: CoshUI – A backend-agnostic UI engine for Python game development

author: jylefv


value: cauenapier

value: Show HN: TownSquare, a tiny presence layer for websites

author: cauenapier


value:
Built a VSCode extension that uses multiline cursors to visualize audio. It supports both system and mic audio inputs.
While programming and listening to music, I had this habbit of moving multiline cursors back-and-forth. Since code lines have different widths, it used to look like a music visualizer in my imagination. So, I turned that into a VSCode extension.
Demo video: https://www.youtube.com/watch?v=WM2GeKBBX5E
Disclosure: While I've been obsessed with audio visualiser from the start of my programming days and built one in Processing and another in C++/OpenGL from scratch, this one was partially vibe coded.

value: Show HN: Visualize audio in VSCode using Multiline Cursors


value: Show HN: Lelu – authorization engine that catches manipulated AI agents


value: dvcoolarun

value: Show HN: Zero-config session-taste packer for AI agents

author: dvcoolarun


value: Show HN: AlphaVibe – AI that reads your DeFi wallet live via DeBank


value: umeshmr

value:
launchreel.dev
Being a solo founder focused on building products, content creation to evangelize was not easy. Making videos meant taking screen captures, writing captions, converting text to voice overs and assembling them into frames took hours. This being a repetitive exercise, it was becoming a bottleneck.
So I built launchreel.
How it works:
you paste a URL (up to 3, plus up to 6 images/videos).
It applies vision apis to extract visual references, text and LLM weaves a story. It writes captions and voice over text. LLM gives video plan with frame visuals, length of frame and caption and voice over text.
An AI agent then assembles the plan into a video, applies music, voice and captions.
it adjusts video dimensions to match the platforms - HackerNews, X, ProductHunt, Blog, Instagram, Facebook and IndieHackers. It writes post content as well and video downloadable.
It follows each platform's conventions (e.g. no hype words for HN) but can't guarantee mod behaviour. Voiceover is TTS (male/female warm, or none). Caps: images ≤5MB, videos ≤25MB, 60MB total, ~30s–5min length.
Would like feedback on the per-platform tone models and whether the element-extraction holds up on your pages. founder@deepship.dev
Its free to try.

value: Show HN: Convert your landing pages to powerful visuals for social media

author: umeshmr


value: olievans

value: Show HN: Criterion Closet as a website – pull any of 1,247 films off the shelf

author: olievans


value: geoctl

value: Hello HN. Cordium is a FOSS, self-hosted, identity-based, general-purpose sandbox platform that I've been working on for a long time now that is built on Kubernetes and Octelium, my main work. The key difference here for Cordium, when compared to other dev environments (e.g. GitHub Codespaces) and sandbox platforms (e.g. E2B, Daytona, etc.), is that Cordium automatically provides identity-based, secretless secure access to resources/infrastructure (e.g. APIs, SSH, databases, k8s, etc.) without having to inject credentials (e.g. API keys and access tokens, SSH private keys/passwords, database passwords, mTLS private keys, etc.) into the sandbox where the upstream credential is held by the identity-aware proxy of the Octelium-protected resource outside the reach of the sandbox and inject on-the-fly by the identity-aware proxy if the user is authorized via the Octelium policies.<p>In short, Cordium is not just an isolated execution environment that can replace remote development environments and sandbox platforms, but also equally a secure access platform to infrastructure/resources. It's basically a sandbox platform + a ZTNA/remote-access-VPN baked-in with unified identity management, L7-aware access control and visibility.

value: Show HN: FOSS sandbox platform that hides infra secrets from devs and AI agents

author: geoctl


value: PrimeMentat

value: Show HN: Forecastion – A forecasting workbench for analysts and operators

author: PrimeMentat


value: malmeloo

value:
As part of our EDAcation project, we are building an extension for VSCode to facilitate digital hardware design. We built an FPGA viewer to integrate into VSCode, but since VSCode is essentially just a web browser anyway, we figured why not publish it as a separate website as well? So that's what we did, and you can see the results for yourself on the linked webpage.
You can inspect a variety of iCE40 & ECP5 FPGAs as well as visualize various PnR results. We included some example designs, but if you are familiar with Nextpnr, you can also upload your own.
All data stays local, the viewer runs entirely from within your browser. The chip renderer is written in Rust and compiled to WebAssembly. You can check out the code if you want, all of our projects are fully open source.
Our goal is to make digital hardware design more accessible, and this project fits right in with that mission. Curious to hear your opinions!

value: Show HN: Web-Based FPGA Viewer

author: malmeloo

title: Show HN: Web-Based FPGA Viewer


value: mxmilkiib

value: Show HN: Material Hack – Reboot of the Hacker News Client Materialistic

author: mxmilkiib


value: bentannen

value: Show HN: I made AI bets for all World Cup games – bet against or with them

author: bentannen


value: tison

value: Show HN: Macro-template, table-driven code generation for Rust

author: tison


value: YarivAshkenazy

value: Show HN: Fosbury – Put ads on autopilot across channels just by dropping a URL

author: YarivAshkenazy


value: kedimuzafer

value: Show HN: Voice typing on Android with accurate punctuation and code-switching

author: kedimuzafer


value:
Anthropic and OpenAI's publicly available models are explicitly guard-railed so that they refuse offensive tasks. And their cyber-focussed models are gated for enterprises. This leaves SMEs and mid market open to major vulnerabilities.
AI can be used as both an adversarial and defensive tool in the world of cyber. A worst case outcome is if only the adversaries have access.
Meanwhile, most existing AI cyber tools are just wrappers. The problem is that they still have all the guardrails on from the foundation model where they will inherit its refusals.
For this project we've post-trained a specific model on a decade of capture-the-flag contests. This won't be made available to anyone and everyone, but we do believe that responsible SMEs and midmarket companies also need access to these tools in order to identify key vulnerabilities in their systems; not just enterprises.
We have developed two modes that run over a CLI:
• Security scan: a read-only audit of your local codebase for vulnerabilities. It only reports what it can tie to a specific file and line, so you're not wading through vibes-based findings.
• Pen test: an active adversarial mode that will try to break a live system in a sandboxed environment. It proves each vulnerability by running the exploit and showing the request it sent and the response your code gave back, not a confidence score. Currently gated.
To show what the scan does, we pointed it at Bank of Anthos and it found an integer overflow in the transfer path: amount is an int, and amount + fee can overflow negative, so the balance check passes and you move funds you don't have. Plus the usual auth and secrets issues. (Bank of Anthos is Google's open-source bank. It's a known app and some of it is intentionally weak, which is the point: you can clone it and re-run the scan yourself instead of trusting a screenshot)
The base model is a Kimi K2.6 (open weights). We didn't pretrain from scratch. We post-trained it ourselves, SFT on CTF writeups, then RL with verifiable rewards against actual exploit checks.
How the harness works:
Along with the model we built the harness to support this. The harness runs on a multi-agent swarm: an orchestrator splits the job across subagents running in parallel, each owning a slice, then synthesising one report.
The CLI is a local binary (brew/curl). It reads your code locally, then sends context to our inference API over TLS tcpdump it and you'll see exactly what leaves and where. Install is free; and you can run a scan for free up to 2m tokens, then need to pay for tokens beyond this.
For full disclosure this is a product part of Cosine (YC W23)
Up for debate: tool safety, e.g. domain verification is one method that proves control but not necessarily permission. How would you gate a pen-test tool given that?

value: Show HN: We post-trained a model that pen tests instead of refusing


value: torsianWorld

value: Show HN: PitchStage – an Omegle-style 1:1 pitch room for founders

author: torsianWorld


value: Show HN: PatinaTab – Dark mode widget dashboard extension for Chrome/Firefox


value: Show HN: Multi-Agent AI trading firm simulation powered by small language models


value: sailorpro

value: Show HN: Publish ChatGPT/Claude HTML output to a shareable link in one click

author: sailorpro


value: neinasaservice

value:
Lint PromQL via API, no need to install anything.
Queries don't get stored, just statically analyzed for obvious smells and type safety
curl -s https://pedantic.run/api/analyze \
  -H 'content-type: application/json' \
  -d '{"query":"topk(5, rate(container_memory_usage_bytes{pod=~\".*\"}[10m]))"}'

value: Show HN: Pedantic.run – Lint PromQL Queries

author: neinasaservice


value: longyijdos

value: Show HN: Hi-shell – type commands in English, get ghost text in zsh

author: longyijdos


value: VeilusDigital

value: Show HN: I mapped every privacy claim in my messenger to its source code

author: VeilusDigital


value: enamakel

value: Show HN: Tiny.Place – AI Social network for orchestration, payments & jobs

author: enamakel


value: selcuk

value: Show HN: Namecom-CLI – CLI and agent skill so Claude Code/Codex can do your DNS

author: selcuk


value: shpran

value:
I've been building StartupWiki, a free startup database designed to make it easier to discover and research companies.
The original motivation was frustration with how difficult it can be to find information on early-stage startups. Most databases need accounts, or subscriptions, ro just feel too cluttered. I wanted a website that felt like Wikipedia, no accounts, no subscriptions, no weird metrics, just go in, the info is on the page.
The project is still very early, but currently includes:
Startup profiles
Search and filtering
Company categorization
Public API (in progress)
I'm especially interested in feedback on:
What information you look for when researching startups
Features missing from existing startup databases
API use cases
I'd love to hear feedback.

value: Show HN: StartupWiki – A Free Alternative to Crunchbase

author: shpran


value: stubbi

value: Show HN: Mitos – N-way live copy-on-write fork of running Firecracker microVMs

author: stubbi


value: cromlehg

value:
After 8 months of development we launched MVP three months ago.
The idea of "Now & Here" came from my own pain: I arrived at hotel after long journey, exhausted - it looks old with noisy renovations on the back side. At that moment I thought: I would pay $20 to someone in each of the 5 nearest hotels to film the real view.
We solve trust problem: people need to know what a place looks like, but most internet information is outdated, curated, or fake. For example:
1. Hotel and travel websites show polished marketing photos.
2. Google Street View is static and often years old.
3. AI-generated content is making it harder to trust locations online.
We are made app where people can request closed to real-time video from any location and nearby people can earn money by recording video fot those requests.
We built android app with all necessary mvp features:
- map with tasks and videos
- tasks creation and execution flow
- video viewing and recording payed and free
- wallet with USDT (crypto just for demo, we don't have bank account now)
We wanted to start from Singapore. We tried to send letters to cafes, restoraunts, hotels, make a campaigns with tasks, tried to message people in telegram, but still has empty map (except points recorded by my friends).
Some of our users asked about iPhone version of app. However, right now we have resources only for app and frontend (project built with me and my friend - both are the very experinced in IT).
I know unit economics are not so great. I don't care about money yet. I just want users. I just want to make product which help travellers and solve my pain.
Some materials:
1. video, which described main idea - https://www.youtube.com/shorts/3aja8Y_cfEI
2. The app is live - https://play.google.com/store/apps/details?id=com.blockwit.h...
3. Small site - https://nowahere.com/brand/
May be somone can give me advice. May be wee need to go to B2B, may be we are doing something wrong.
Please, give us hardest feedback. We've survived a year. I won't give up until this startup works.

value: Show HN: Video on the map marketplace 1 year – still bad traction

author: cromlehg


value: marcuskaz

value:
A collection of small static web apps I've made to fill personal needs.
What are yours, do you share them out?

value: Show HN: Lil Apps

author: marcuskaz

title: Show HN: Lil Apps


value: sylwester

value:
I read HN on my phone every day and never really settled on a reader, so I
wrote my own and finally tidied it up enough to put out
there.
It's plain SwiftUI with no third-party dependencies. A few things I spent the
most time on:
Comments are parsed and drawn as native text instead of being dumped into a web
view. Links, italics, quotes and code blocks behave like the rest of the OS,
text selection works, and threads collapse instantly. The whole comment tree
comes back from the Algolia API in a single request, which felt a lot nicer than
walking the Firebase API node by node.
Accessibility. Nothing depends on color on its own, so
points, read state and selection all carry a shape or an icon too. VoiceOver
reads each story as one coherent element with proper actions, Dynamic Type and
Reduce Motion are respected, and there's a color-blind mode. The first-run setup
actually looks at your device's accessibility settings, switches on the matching
options, and tells you what it changed instead of making you hunt for them.
Then the usual things you'd expect: Top/New/Best/Ask/Show/Jobs, search, saved
stories, read tracking, an in-app reader, light and dark, and a handful of
accent colors.
It only talks to the public HN APIs, there's no account and nothing is tracked.
Source and screenshots are in the repo.
I'd most like feedback on the comment rendering and the accessibility choices,
since those were the parts I cared about getting right. Happy to answer anything
about how it's put together.

value: Show HN: Ember, a native iOS Hacker News reader I built around accessibility

author: sylwester


value: yshunnar

value: Visualization of news stories across various outlets. It links to a recent senate case because that's a good representation.<p>No company behind this just for fun.

value: Show HN: A News Data Visualizer

author: yshunnar

title: Show HN: A News Data Visualizer


value: jcgr

value:
hey HN!
This is Cody, I used GPT Realtime and gave it access to nvim and its native tools so you can literally talk instead of writing nvim commands.<p>It's a prototype still, but the experience is really interesting. This is what I imagine using the soon-to-release Thinking Machines API. Let me know what you think :)

value: Show HN: Cody – Voice control for Neovim using its own commands, LSP

author: jcgr


value: supernihil

value: Show HN: Saysheep – dumpster diving and free stuff app

author: supernihil


value: overflowy

value: I made this because the online "make my PDF look scanned" tools want you to upload your file to their servers, which feels sketchy at best. Also, I wasn't happy with the output they produce, I wanted something that looks realistic.

value: Show HN: Make PDFs look scanned (CLI or in the browser via WASM)

author: overflowy


value: Saneth

value:
When I was exploring automation I noticed a lot of engineers working with modern stacks facing a critical issue when trying to collect data from industrial tools. because industrial tools often come with different protocols(Modbus, OPC UA, etc) in each project developers have to build their own program layer to convert those into modern interfaces like REST and gRPC APIs. Even though few software solutions exist most are tightly bundled with expensive license and come with heavy GUIs. this isn't practical if you just want to grab data for web application or AI systems.
So I built a tool called Limen Edge, which converts data coming from different PLC protocols into REST and gRPC APIs. Currently it supports Modbus TCP, OPC UA and EtherNet/IP only. I went with a fully CLI approach instead of a GUI because it's more efficient and fast to work with. I used Go as a primary language to build this tool, which made it easy to keep the binary total size around 40MB, and also it can run on low-power hardware like a Raspberry Pi as well.
You can try it with a single curl command, no signup required!
Happy to answer questions about the implementation or the protocol support.

value: Show HN: I built a middleware agent that turns PLC data into REST/gRPC APIs

author: Saneth


value: n8n is built for humans dragging nodes on a canvas. That breaks down at B2B scale (embedding in a product, multi-tenant scalability, etc). n8n does have an MCP server so agents can create workflows too, but it outputs raw JSON. That's fine for n8n's engine, but painful for a coding agent (or a human reviewing its output) to read, write, diff, or debug.<p>I'm building an alternative where workflows are authored by a coding agent in [a more dev-legible format] instead of JSON blobs, and execute it at scale.

value: Show HN: An n8n alternative where coding agents build the workflows, not humans


value: sourdoughy

value: I was getting tired of looking at emails, and asked to respond to malicious emails by friends and family. So I started trying to build a solution that could be offered to them since I couldn't find a consumer product that did the same. I have been building this firstly around an AI trust layer to help my parents recognize what is spam and malicious emails and then to reorganize emails around relationships and context. I am about to invest in a CASA tier 2 assessment to finish out the Google Oauth process and am interested in hearing thoughts around the problem itself, the approach, and concerns that there might be around the security model. I dabble with security and genuinely just want this to turn into something that can be used by the general public and teach everyone over time what to look for so finding a cybersecurity expert that can help take this further would be amazing!

value: Show HN: Email client focused on reducing phishing risk and inbox overload

author: sourdoughy


value: confis

value: Show HN: Tiny – An interpeted dynamic langauge with inline Go native functions

author: confis


value: Show HN: A Chrome extension showing a site's desktop and mobile layout at once


value: apresmoi

value: Show HN: An ASCII 3D Rendering Engine

author: apresmoi

title: Show HN: An ASCII 3D Rendering Engine


value: bapito

value:
After a year and a half of hard work, we recently released TIN Validate (tin-validate.com), a Tax Identification Number (TIN) validator available through both a web portal and a REST API.
Over the past few years, we have seen a significant increase in regulations aimed at strengthening tax compliance and the automatic exchange of tax information. In Europe for example, the DAC7 directive now requires collaborative platforms such as Airbnb and Booking.com to report users' income along with tax information. Financial institutions are also already required to perform international tax reporting under FATCA and CRS.
As a result, there is an increasing need for TIN validation. During our research, we found that while this space was already occupied by a few established providers, many of the products felt brittle, lacked transparency, and were often surprisingly expensive. We felt there was room for a different approach.
What we are bringing to the table that we believe is different:
1. Support of all 249 ISO 3166-1 countries and territories:
Most competitors support 100+ countries, which covers the vast majority of use cases. However, smaller territories are often left unsupported. While this is understandable, platforms and financial institutions still receive tax information from those jurisdictions.
Some territories do not issue TINs, some use alternative identifiers, and some have very small populations. We preferred to explicitly support and model these cases rather than simply returning "not supported".
2. Validation across multiple TIN types per country:
Most countries do not have a single TIN format. Typically, individuals and companies have different identifiers, and some countries have several formats depending on the type of taxpayer.
TIN Validate explicitly supports these distinctions and provides users with that level of detail, rather than treating every identifier within a country as the same thing.
3. Transparent multi-step validation:
This is probably the aspect we care most about.
When testing competing validators, we often encountered situations where one service would return "valid" while another would return "invalid". As users, we had no way of understanding why. Were they actually running validation? How thorough was it? Which result should be trusted?
This is why our validation process is broken down into individual rules. Instead of simply returning "valid" or "invalid", we show which checks passed and which failed, whether those checks relate to structure, length, character requirements, checksum logic, or other country-specific rules.
Our aim was to make TIN validation less of a black box and give users enough information to understand and trust the result.
The use cases:
During our research, we identified a number of use cases for the product, including financial institutions, collaborative platforms reporting to tax authorities, and more generally any application that collects tax identifiers and wants to validate them as early as possible.
We would love to hear any feedback, criticism, or suggestions from the HN community.

value: Show HN: Tin Validate, a tax ID validator that explains why checks pass or fail

author: bapito


value: mitchivin

value:
I posted my portfolio here about a year ago (https://news.ycombinator.com/item?id=45154609) and while there was a big response, it was very mixed! It'll probably be similar this time, but regardless of your thoughts about the concept, I think I've done a pretty good job creating one of the most nostalgic corners of the internet, especially with the latest additions.
It'll always be up for debate whether this is an effective way to get noticed as opposed to a standard, quick and easy portfolio, but I'll die on the hill that this is way more fun for both parties, every day of the week.

value: Show HN: My Windows XP portfolio with working Game Boy and iPod

author: mitchivin


value: sentibook

value: Show HN: An experiment in human and AI social networking

author: sentibook


value: becomevocal

value:
Hey everyone. My cofounder and I are open sourcing Persona.js (https://www.persona-chat.dev/). It's a VanillaJS library that helps anyone build agentic experiences on the web, without a framework dependency, and full WebMCP support
So, why'd we do this?
1) We're super fans of the web and the browser can do a ton today
2) We've seen AI builds be way overly complex because the FE requires a large project within an existing app OR the site wasn't using a framework to begin with
If you've been a part of huge apps with multiple frameworks inside them, or work inside CMS / website builders / ecomm platforms... you know what we're talking about. A "simple" AI feature disrupts your life for months
If you have a singular React codebase and can't possibly imagine building an interface without JSX, nothing to see here! You already have a lot of great options that are really cool too. Check out Assistant UI / CopilotKit / AI Elements which are all MIT.
There's a demo video here: https://www.youtube.com/watch?v=68D80uNsfH0.
Some specifics:
Persona has a ~15 kB brotli to first paint (the full widget lazy-loads on first click) while being able to render most of the primary agent experiences you see on the web: from 'Fin' (pill launcher) to 'Claude' (fullscreen assistant) to 'Shopify Sidekick' (docked)
You can run it in Shadow DOM isolated mode so existing styles play nice
Everything has hooks and events, so you can add unique flavor (and easily share back!) in a few lines
We have a ton of demos on the library site, along with all the knobs to play with how each aspect renders. Tool and reasoning, custom loading animations, voice, approval UX, etc
We've also added a ton of examples across agent and frontend stacks
Check out the code @ https://github.com/runtypelabs/persona
Feedback and contributions welcome!

value: Show HN: Persona.js – a vanilla-JS agent UI library with native WebMCP (MIT)

author: becomevocal


value: yathern

value:
The overall idea is to chart out the thousands of Mini PCs by benchmark and reveal the Pareto Front so you can get the most Compute per Dollar. Definitely a labor of love as I have a number of Mini PCs for my "homelab" (TrueNAS, piHole, Plex, basic stuff). It uses Gemini to extract specs from listings (since they're not often strongly categorized).
Quick blog post here: https://luke.zip/posts/pareto-pcs/

value: Show HN: MiniPCs.zip – Charting the Pareto frontier of Mini PCs

author: yathern


value: akratch

value: I used Codex (and some Claude) in order to decomp and port Goldeneye for N64 into a native build. This work furthers existing decomp work and builds on the broader community.

value: Show HN: A decompilation-based native PC runtime for GoldenEye 007

author: akratch


value: Show HN: Phone Number for AI Agents Like Hermes and OpenClaw


value: emirce

value:
Hi everyone,
I have been using BullMq for most of my background job related work but lately I have been working on some smaller scale app where I having a full blown Redis setup with separate worker process would have been overkill.
That is why I built a lightweight, in-memory Node.js background job queue. It comes with a Bull/BullMq-type API, concurrency control, schedulers, job retention and much more. It has zero dependencies and is fully typesafe. Use this when you need a simple, performant background job system but don't need distributed workers and Redis-persistence (best for small apps, CLIs and local tools).
Let me know what you think!

value: Show HN: Supaqueue – Node.js background job queue (no Redis needed)

author: emirce


value: openspend

value: Show HN: OpenSpend – Invoicing for creators, popup shops and small businesses

author: openspend


value: egrigokhan

value: Show HN: Internal agent systems like Ramp Inspect for your company

author: egrigokhan


value: Show HN: Amiqo – a private app to text the friends you're drifting from


value: nikitadvd

value:
Hi everyone,
I'm a student from Flanders and I like to use Claude Code for my purposes, ideas and also just for fun and also make solutions for problems in our world!)
So that's why I built "Pulse", it's an local application that you can easily install to your device and easily follow what your claude agent is doing right now in your terminal session with an ambiance design and easily give permissions for your agent.
For those who wants to see directly how much tokens you spent, and how much the session costs, and approve tool calls from everywhere from your phone and everything runs locally without an account can install Pulse from GitHub: https://github.com/nikitadoudikov/claude-pulse

value: Show HN: Pulse – Dashboard for Claude Code, approve tool calls from your phone

author: nikitadvd


value: faisalishfaq

value: Show HN: LoopFlow – loop engineering for Claude Code

author: faisalishfaq


value:
Most apps on your phone could be an agent you chat with or talk to. But where are they?
I put together a phonebook of these AI bots. Still scraping, will add more as we go.
Know one that should be listed? There's a suggest form.
Stack is Astro + Cloudflare to keep it simple. Cala.ai for scraping (free credits from a hackathon)

value: Show HN: Botacts – Phonebook of AI Bots

title: Show HN: Botacts – Phonebook of AI Bots


value: rayanht

value: Show HN: Alloy – a PyTorch backend and inference engine for Apple Silicon

author: rayanht


value:
I've been building GitGauge, a way to tell if a Repo is Authentic based on fork ratio, watcher engagement and issue activity.
I'd love to hear some feedback!
The part I’m least confident about is the heuristic. Right now it uses stars, forks, watchers, and open issues. I’d be really interested in where people think that breaks down, especially for niche repos, old repos, or heavily used internal-tool style projects.

value: Show HN: GitGauge – A Way to Try Tell If a Repo Is Authentic


value: Show HN: MailNuke – Inbox Clutter, Annihilated


value: trykhlieb

value: Show HN: VLMs Can Respond Twice as Fast Without Losing Quality

author: trykhlieb


value: jswallez

value: Show HN: Save, an API that turns any URL into clean Markdown for LLMs

author: jswallez


value: Show HN: Cruit – Get Hired directly from your coding agent


value: Show HN: Onsight: pay a local to photograph any spot in San Francisco, on demand


value: kareldecherf

value: Multi Agent Continuous Context Harness - MACCHA solves the problem that every AI coding session starts from zero. It combines a file-based 7-tier context architecture with a working memory engine (Memanto) that features vector embeddings, confidence decay, and semantic conflict detection — so Antigravity, OpenCode, and Claude Code all share the same persistent, self-improving brain. No 24/7 daemon needed.

value: Show HN: Maccha – Cross Agent Brain for Antigravity, Claude Code, OpenCode etc.

author: kareldecherf


value: uptodatenews

value:
Disclaimer: This was made with LLMs.
I made this tool to help understand large business processes that can be modelled as a single state machine.
The core loop of this is to enable to walk stakeholders through discussing each step, adding comments, and reiterating with an LLM of their choice to generate the TLA+ syntax on the left.
Users can click through the green state nodes to see how things work visually.
You can see some sample state machines in the dropdown in the top left.
The power would come from getting folks on the same page of the business process, so engineers can think about how best to automate/modernize the system once they get all of the context.
Additionally, once you have a single canonical model of the process, you could in theory send into a dark factory to produce the software as quickly as possible, but now we can allocate more time in the entire software lifecycle at the design and alignment before coding now that coding is faster.
Additional work could be done using this book for guidance, Workflow Modeling: Tools for Process Improvement and Application Development, https://www.amazon.com/Workflow-Modeling-Improvement-Applica...
MIT licensed repo: https://github.com/RCSnyder/tlaplus-process-studio
Let me know what you think!
Thanks!

value: Show HN: TLA+ Process Studio

author: uptodatenews

title: Show HN: TLA+ Process Studio


value: arishaller

value: Show HN: Callimachus – Local search across your AI coding-agent history

author: arishaller


value: ahvural

value: Vitrus — the company brain that tells you what it doesn't know

value: Show HN: Vitrus – the company brain that tells you what it doesn't know

author: ahvural


value: justinlevine

value:
hey all,
i've posted about shieldcn, my successor to shields.io in the past. i just added charts (like starcharts) and repository header generators to the site.
would love your feedback and to hear what you think would be useful next!
justin

value: Show HN: Starchart and Repo Header Generator

author: justinlevine


value: celloer

value: Submarius started as just a dashboard for diving conditions, but I quickly realized that there is simply no API for water clarity, nor even a simple way to calculate it. Divers call it viz, and it is one of the most consequential factors for a diving experience. So I dove the viz rabbit-hole. I landed on a state-augmented ensemble kalman filter. More details on the /clarity page. My question for the HN audience is if anyone knows of a better way of doing this? There is a ton of satellite data to train on, but a lot of it is messy (clouds read as turbid water, shallow reefs reflect abnormally causing bad readings, etc). Appreciate any feedback on the subject. Enjoy the read!

value: Show HN: Submarius – Global water clarity for divers

author: celloer


value: coolwulf

value:
Hi all,
   This is coolwulf and I have been working on a project. The idea is to generate video content on popular Hacker News gaming stories. So far I just started this idea and will continue contributing to the content.

value: Show HN: HN Game Stories – mini-documentary of games that hit the front page

author: coolwulf


value: mirkofr

value:
Hi
I have been working on persistent memory. I wanted to see whether a brain like graph-based memory system could be used and more importantly how much we could save on llm tokens. FERNme uses fuzzy edge with Hebbian co-occurrence rule to create memory tags. I think FERNme could become a great personal memory of people that can be used by agents to give more personalized answers. The code is placed in: https://github.com/mirkofr/FERNme
I invite developers to to check and test it and give honest criticism to make FERNme a real personal brain.

value: Show HN: FERNme – agent memory that updates with ~zero LLM calls

author: mirkofr


value: brian-m

value:
I've been vibe-coding tools to automate chunks of my consulting work, fell down a rabbit hole, and started building actual products. Suddenly I'm in a world of unknown-unknowns and known-unknowns. One of the bigger things to solve was understanding code the LLM generated that I didn't fully grasp. What does it touch? What reads and writes where? Is the auth path where I think it is?
So I built codeflowmap. Point it at a repo and it maps the dependency and call graph, then surfaces the read / write / auth paths between files and functions.
Connect a local model (Ollama) or any OpenAI-compatible API and it annotates each file with what it does and the data it touches. It all runs locally unless you connect to a remote/hosted API, and the output links straight into an Obsidian vault.
bunx codeflowmap serve · MIT · built for me
Keen for thoughts on what would make it more useful or sharpen it up.

value: Show HN: Codeflowmap – map a codebase's read/write/auth data flows

author: brian-m


value: pattle

value: Show HN: Money Simulator

author: pattle

title: Show HN: Money Simulator


value: alexreysa

value: Show HN: Agentic coding workflows built on Git worktrees and task evidence

author: alexreysa


value: Show HN: Rlsgate – Block the Supabase RLS leak before you deploy (CLI)


value: msradam

value: I've been using Ansible for IT automation for a while, and the process of writing imperative playbooks in something that looks closer to English I felt was a good fit to design MCP tooling around. I specifically wanted to have a process of running Ansible modules directly as tools from an LLM and record it so my exploratory sessions can become runnable playbooks. The ansible-doc command already emits the schema for each module, so tool calling is nice and structured, and it feels nice to have this available ad-hoc with all the existing Ansible collections that are out there.

value: Show HN: Rocannon – Any Ansible module to MCP Tool, record sessions as playbooks

author: msradam


value: aniketwattawmar

value: The interview prep platform built for AI engineers. Practice real problems on Multi-Agent Systems, RAG, Vector Databases, and production AI architectures

value: Show HN: GenAIDojo

author: aniketwattawmar

title: Show HN: GenAIDojo


value: kristjan

value:
I got tired of typing my phone's ADB pairing info, but also don't usually have Android Studio open to display a QR code, so I Clauded up an all-bash (with qrencode installed) command to do it straight from the CLI.
> brew install kristjan/tap/adbqr
All that's needed is a join-network style string written through qrencode for the phone to scan:
> WIFI:T:ADB;S:<service>;P:<pairing-code>;;
For sake of pleasantness, if you're in iTerm2 or a terminal that supports Kitty, it'll print crisp imagery. Otherwise it falls back to character-level blocks. Then the process listens for an mDNS announcement from the phone and runs the `adb pair` command for you.
Last thing I added is from when I tried to run it on a public network with client isolation turned on, so the tool tries to notice warning signs and give you a heads up. It's very basic, so if anyone knows clever ways to detect that kind of setup, I'd love to learn it.

value: Show HN: Adbqr – ADB pair via QR code from the CLI

author: kristjan


value: ethanhq

value: Show HN: Cc-fleet – run other LLMs as Claude Code workers, your sub drives

author: ethanhq


value: faangguyindia

value:
A very simple idea: when you eat more than your maintenance calories, you gain weight; when you eat less than your maintenance calories, you lose weight.
By using an algorithm, we can accurately figure out your maintenance calories more accurately than traditional regression based formulas like katch mc ardle.
It's way more accurate than calorie burn tracking devices like fitness bands and watches. (garmin/apple watch/whoop etc...)
Traditionally, people often use static TDEE calculators which often over or underestimate for some by 100s calories.
Chatgpt and TDEE calculators like Calculator.net or TDEECalculator.net use the same formulas, so they share the same limitation
If a beginner asks ChatGPT, "What are my maintenance calories?", ChatGPT can give them a number. But ask how it arrived at that number, and it will usually explain that it used a formula like Katch McArdle, Harris Benedict, or Mifflin St Jeor to calculate BMR, then layered activity on top using an activity factor, PAL, or MET tables.
Dig deeper and those formulas come from statistical regressions based on averages from past populations. That means maintenance calories calculated this way can be off by hundreds of calories.
MacroCodex uses your calorie intake and weight data to figure out maintenance calories specific to your body, not the population average.
It usually reaches good accuracy after about 3 weeks, or 21 days of calorie and weight logging.
This app is completely free, no paywall, no subscription and no ads. (works offline)
Most people start seeing weight gain or loss within 5 weeks.
We've reached 13,000+ users. Full support is provided if you experience any issue, most issues are resolved under 24 hours.

value: Show HN: Lean bulk, cut, body recomp. Calculate maintenance calories

author: faangguyindia


value: adltereturn

value: Show HN: Agent-historian – let your AI agent search its own past sessions

author: adltereturn


value: titusblair

value: Show HN: Argybargy – A peer-to-peer bridge connecting any AI agents and sessions

author: titusblair


value: sjashwin

value: Show HN: Moduna –- Mixpanel for AI Agents

author: sjashwin


value: nivroo

value: Show HN: Nivroo – AI builds your dropshipping store in 60s and trading terminal

author: nivroo


value: tapdot

value: Show HN: FloatDeck, a floating quick-actions menu for Chrome

author: tapdot


value:
Link to the comment: https://news.ycombinator.com/item?id=48302991
Sorry I made your dad bald... he was bald, right?

value: Show HN: I made an AI video of alexpotato's comment about his stockbroker dad


value: Show HN: Shelve – Native macOS menu bar app that auto-organizes your Downloads


value: Show HN: Image Tools Hub – A Curated Directory of AI Image Tools


value: Show HN: shared verified memory for AI agents: one learns, all recall


value: deftio

value:
Hi HN-
This past year I've built and maintained Quikdown, a bidirectional markdown parser and companion editor in pure js, with batteries included fences for rendering rich content.
Try it live: https://deftio.github.io/quikdown/pages/edit/
The motivation was working with many different LLM frameworks and wanting to test tool calling and collaborative editing.  Often I just wanted a pretty final output with rich support for diagrams, math, or other rendered content but, keep it editable.  So a user (often me) could just work on the final (rendered) output while the LLM could see/seek/update/edit just using markdown under the covers.   Quikdown editor supports md/split/rendered output and can run headless so you can bring your own UI.  MCP support is included as well.
The Quikdown parser has zero dependencies and is based on regex and outputs HTML with built-in tags for triggering plugins for fences (like Mermaid, Vega-lite, code syntax, music and many more).   A separate set of attributes allow tracking of bidirectional content so a user can edit markdown tables, code rendered in highlightjs and many other types in the rendered view.  For complex rendered types (like Mermaid or STL) bidirectional support is not included but if you want to take that on there are hooks to support your own efforts.
While the parser has no dependencies , the editor lazy-loads appropriate libraries for rendering rich content.
Supported fences include: Mermaid, MathJax, SVG, CSV/TSV/PSV tables, GeoJSON with live leaflet based pan-and-zoom, Sheet music (via ABC.js), Vega/Vegalite-charts, STL (via threejs), code highlighting (via highlightjs).
Also included is programmatic undo/redo - so if you are making a closed loop with another output service (LLM or some process) you can roll back content changes that were not desired.
All inline HTML is escaped by default - no eval() or other unsafe raw parsing of content is allowed and URL sanitization blocks script based urls.  However if you  are using the editor the plugins which render rich content are left to handle that content on their own and are hence "trusted".
Quikdown intentionally doesn't cover all of Commonmark compatibility - if you find some portion of the spec isn't covered that you need raise an issue or make a PR and I'll take a look.
A standalone "air-gapped" build is also provided so you can use quikdown locally with zero cloud support.  The standalone build is about 8MB so not recommended for use in online applications.
Longer write-up: https://deftio.github.io/quikdown/pages/blog/

value: Show HN: Quikdown – 17 KB bidirectional Markdown parser and rich-fence editor

author: deftio


value: hibariya

value:
Hi. I've created this Android app for a couple of motivations: 1. no need to sync; 2. easy to throw away (no lock-in); 3. works without internet access.
The app runs a small web server and allows you to edit your journal with the app UI, and also from browsers on other devices. Since in both cases the changes will be persisted in the phone, no need to sync.
You can connect to the editor server by using a private IP address in the local network, Tailscale network, or optionally, use a built-in HTTPS tunnel (paid subscription) via the internet and keep a handy access with the same URL.
I'd appreciate your feedback. Thanks!
Play Store: https://play.google.com/store/apps/details?id=run.notedog

value: Show HN: Notedog – Git-friendly portable Markdown journal, edit from a laptop

author: hibariya


value: othmanosx

value:
Show HN: Pyor - A better alternative to Github for reviewing PRs
since the introduction of AI, the bottleneck for shipping code shifted from producing code to reviewing it, and the PR reviewing experience on Github is lackluster, leaving a lot to be desired.
my team now ships too much code and it sits in review for too long, review AI code is not easy and we need a better tool to review code, especially on large PRs.
So I built Pyor, a website and a performant desktop app to review code at least 3x faster compared to Github (from experience)
As a web dev, I compiled all of my painpoints into this project, what would make a review easy (and even fun) for me, I integrated tools to group noise from actual important bits to focus on reviewing, that speeds up reviewing time immensely, especially on migration PRs where most is mechanical name changes.
Try it out at https://www.pyor.review and let me know what you think!
it’s free!

value: Show HN: Pyor – A desktop PR reviewer for the diffs GitHub chokes on

author: othmanosx


value:
Hi HN, wanted to translate this into a more human-readable post - please see below and would love any and all feedback!
What is it: A second brain you self-host and engine to compound itself and spark new ideas, from your own ideas.
Why: ROI on your own knowledge, actually realize the value from your ideas. Down the line I'd love for this to evolve into a wider / shareable concept -- Haven't fully figured this out yet which is part of the reason I am posting. View the /constellation folder for the specs on that concept. (Self hosting engine is all in the repo as well)
Looking forward to hearing from anyone!

value: Show HN: Domvault – self-hostable second brain with consent-based note sharing


value: Show HN: Chess-Inspired Roguelike

title: Show HN: Chess-Inspired Roguelike


value: nicollegah

value: Easy converter from mp3 to mp4, by simply uploading an image. Free to use, no signup

value: Show HN: MP3 to Mp4 Converter

author: nicollegah

title: Show HN: MP3 to Mp4 Converter


value: fanjinz

value: Show HN: RedHN: A Reddit-style extension for Hacker News

author: fanjinz


value: ChunchyMoney

value:
MapDex is a social map for travelers.
Users can track places they've visited, save destinations to their bucket list, and explore maps from friends and other travelers.
One thing I felt was missing from existing products was meaningful ranking. Instead of relying on a traditional 5-star system where ratings tend to become inflated, MapDex lets users rank destinations against others within the same category. Cities are ranked against cities, beaches against beaches, countries against countries, and so on.
The goal is to create a more useful way to discover places through people you trust while building a visual record of where you've been and where you want to go next.
The app is currently live on iOS and Android. I'd love feedback on the product, ranking system, positioning, and growth strategy.
iOS: https://apps.apple.com/us/app/mapdex/id6762475774
Android: https://play.google.com/store/apps/details?id=com.mapdex.app

value: Show HN: MapDex – A Social Map for Travelers

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As an indie engineer, I wanted some real feedback on my productivity, like having an actual external boss.
I tried using time trackers (even a physical timer), but they weren't good at tracking everything.
So I built Didon, an AI time tracker that watches the screen periodically and generates work logs, then summarizes them into your workday report.

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Hi HN, Alexey from Chainstack here.
We built Chainstack Self-Hosted to package everything we’ve learned from 8+ years of running blockchain nodes into a single control panel. The goal we’re building this product around is to make blockchain infrastructure boring to operate.
The software is free to install. You only pay for the infrastructure you run it on.
The quickest way to get hands-on with it is through the Vultr Marketplace or one of the other providers listed in the docs.
The current release supports Ethereum Mainnet, Sepolia, and Hoodi with Reth + Prysm full nodes. We’ll be adding more EVM chains in the coming weeks and expect Self-Hosted to support all major blockchain protocols by EOY.
I’d love feedback from people who run their own nodes today. What’s still the most painful part: initial setup, sync times, storage management, monitoring, upgrades, failover, or something else?

value: Show HN: Chainstack Self-Hosted, hosting your own blockchain nodes made simple

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