value:
Today we're releasing Nanobot an open-source framework for building AI agents on top of the Model Context Protocol (MCP).
MCP servers are a great way to expose structured tools, but they’re usually just that—collections of functions. Nanobot makes it simple to wrap any MCP server with reasoning, a system prompt, and orchestration so it behaves like a real agent. Even better, Nanobot fully supports MCP-UI, so agents can pass rich interactive components (forms, dashboards, even mini-apps) directly into chat.
A simple example: if you had a Blackjack MCP server with tools like deal, bet, and hit, you could wrap it with Nanobot to create a dealer agent that knows how to explain the game, guide a player, and render an interactive Blackjack table inside chat.
We built this because we wanted agents that go beyond text and function calls, into actual interactive experiences—something useful for everything from games to e-commerce to developer tools.
Code is on GitHub: https://github.com/nanobot-ai/nanobot
Live demo (Blackjack): https://blackjack.nanobot.ai
We’d love feedback from this community—on the framework, the design, and what you’d like to see next.

value: Show HN: Nanobot – Turn MCP servers into full AI agents


value: Show HN: I made a custom interpreted programming language at 15


value:
Being inspired by old third-party scripting environments such as AutoIt or AutoHotkey, I've developed my own scripting environment for Windows. I've always been fascinated by creating an own programming language and I made the syntax in a way it feels more like something that contains a personal flavor.
The language matured over the years and I both use it for administration and automation tasks, but also for fully scripted applications as well.
On the homepage, you'll find various production scripts as well as links to scripted applications.
The scripting environment is free and open-source software, released under the MIT license.

value: Show HN: I made AquaShell, a scripting and automation environment for Windows


value: Beefin

value:
I built a free and open source tool to make working with the IAB content taxonomies less painful.
Converts IAB Content Taxonomy 2.0 → 3.0 automatically
Runs fully local, no data leaves your machine
Multiple methods supported (BM25, TF-IDF, embeddings, LLM re-ranking)
Simple demo UI + CLI available
pip install iab-taxonomy-mapper
Why? Agencies, adtech, and publishers often need to upgrade taxonomies, but mappings aren’t always 1:1. This tool provides ranked candidates and options, saving hours of manual work.
GitHub: https://github.com/mixpeek/iab-mapper
Demo: https://mxp.co/taxonomy
Would love feedback on whether this is useful in your workflow and ideas for what to add next.

value: Show HN: IAB Taxonomy Mapper – Convert Taxonomies Using Ollama

author: Beefin


value: cosbgn

value: Show HN: SomeWeek – Using ChatGPT and Twilio as an accountability coach

author: cosbgn


value: notanaiagent

value:
TLDR: It’s like giving Samantha from “Her” a phone number, email address, a few of your accounts and a few sub-agents to do real work.
Hi HN! We are Joseph and Julius, and we built personalized remote coworkers in the cloud. We call these remote coworkers “Personas” and we give each one a name, email address and phone number. Today, we’re launching Personas with “skills” for reminders, scheduling and email management tasks (as seen on our home page), and our goal is to add at least one new skill every week. We’re curious to hear what you all want to use Personas for so please email us your thoughts at founders - at - withtime.ai.
Backstory:
We were both convinced the chatbot experience was stale and repetitive and decided it was time to design an AI system that fit our existing workflow. Most of the context for how real tasks should be done lives within our human-to-human interactions (irl or online), and chatbots are completely walled off from that. And so you end up retyping everything or copy-pasting notes from calls.
We built the “Persona” because we wanted an AI one could simply  “cc” on emails, call in the morning for updates and (soon) add to Zoom calls. Then, when one wants some work done, the context is already there.
How it works:
When you sign up, you choose a name and profile pic for your Persona. It’s granted an email address and a phone number. Behind the scenes, we hydrate its brain – a knowledge-graph meets social-graph meets vector-database – to store information about people, files, messages, calls and more. As the world interacts with your Persona, it adds to this novel memory system so that when it’s time to do a task, it reflexively pulls the needed context instead of asking you for it again… every time.
How is this different from other AI Executive Assistants?
The other AI “Executive Assistants” are a single AI Agent (i.e. system prompt + LLM + a few tools) responding to texts or emails one at a time - often re-using the same phone number or email address across all users. Most don’t have a deep memory and require the user to predefine the user’s preferences in a system prompt or a classic system settings menu.
By contrast, Personas have a consistent, long-running life, and learn exclusively from interacting with humans over emails, texts, and phone calls - they don’t have a traditional context-dump system prompt – instead learning preferences “on the job.” On top of that, the unique phone number and email address per assistant enables something pretty exciting - imagine your Persona calling or emailing other people to complete your todos.
Who are we?
We met freshman year on the Stanford rowing team (‘20) and have been friends ever since. We are based out of Palo Alto, raised some money and are actively hiring – reach out at founders - at - withtime.ai if you’re interested in learning more.

value: Show HN: We made people in the cloud with phone and email to do your work

author: notanaiagent


value: uppnrise

value:
Hi HN! I built a distributed rate limiter using the token bucket algorithm with Redis backing.
Key highlights:
• 50,000+ requests/second throughput with <2ms P95 latency
• Redis-backed distributed state for multi-instance deployments
• 18 REST API endpoints for rate limiting, config, and monitoring
• 265+ tests including load tests and integration tests
• Docker/Kubernetes ready with comprehensive documentation
Built with Java 21 + Spring Boot. Perfect for protecting APIs, microservices, or SaaS platforms from abuse.
The pain point I solved: existing solutions were either too simple (in-memory only) or too complex (enterprise-only). This fills the gap with a production-ready, easy-to-deploy solution.
Try it: Download the JAR, start Redis, and you're rate limiting in 30 seconds.
Would love feedback on the API design and performance characteristics!
GitHub: https://github.com/uppnrise/distributed-rate-limiter

value: Show HN: Distributed Rate Limiter – 50K+ RPS, Redis-Backed, Production-Ready

author: uppnrise


value: ThisIsntMyId

value:
dumpall: The smart file aggregator for AI context and code reviews
I've built a new CLI utility called dumpall that solves a pain point I've often had: needing to quickly provide a structured dump of project files to an AI for context, or to a colleague for a code review.
The core idea is to follow the Unix philosophy: do one thing well. dumpall recursively reads files in a directory, respects exclusions (like node_modules or .git), and formats the output into clean Markdown fenced code blocks.
Key Features:
LLM-Optimized: Output is designed for easy consumption by large language models, providing clean and structured context.
Clipboard Integration: Use the --clip flag to send the entire output directly to your clipboard.
Smart Exclusions: Easily ignore unwanted directories and files.
Versatile: Great for providing context to AI, preparing code for a review, or simply archiving a project's state.
I'd love to hear your thoughts and feedback. You can try it out with npx dumpall . -e node_modules -e .git.

value: Show HN: dumpall — Dump project code into AI-ready Markdown

author: ThisIsntMyId


value:
Hi HN
I built Illustria – a simple tool to generate custom illustrations on demand
Why I built it:
- I was frustrated spending hours browsing stock sites for the right visuals.
- Free illustrations often didn’t match the style I needed.
- I wanted a faster way to get usable illustrations for landing pages, pitch decks, and side projects.
What it does today:
- Generate illustrations instantly based on your input (first generation is free).
- Explore different looks/styles without needing design skills.
- Download and use them right away.
- Browse a free gallery of ready-made illustrations: https://arcanvia.com/illustria/gallery
I’d love feedback on:
- Would you actually use this for your side projects?
- What features would make it more valuable for you?

value: Show HN: Illustria – AI illustration generator with free downloadable gallery


value: aanthonymax

value:
Hello everyone! I created a short game in just a few days, just for fun, where you play as an ant and feed it apples
This game also features random landscape generation, with clouds and trees arranged in a chaotic pattern across all coordinates. This is what took me the longest time :)
I would appreciate your feedback ^ ^

value: Show HN: I created a small 2D game about an ant

author: aanthonymax


value: ddaras

value: Show HN: Build AI chat interfaces with Melony

author: ddaras


value: mehrajhasan

value:
Hey HN
This app will finally get your trips out of the group chat.
I built PlanAway because planning group trips with friends always turned into:
200 unread messages arguing about dates
A spreadsheet nobody updates
Ten different apps for flights, stays, and activities
PlanAway puts everything in one place:
- Create a trip with friends
- Add reservations, expenses, and itineraries
- Collaborate in real time (no more lost notes)
- Get AI suggestions for activities and food
It’s live now as a web app. You can mess around with it WITHOUT creating an account! Still early, but usable — and I’d love any and all feedback.
I’d love your feedback on:
- The #1 group-trip pain point you’d want this to fix
- What would make you actually switch from chats/spreadsheets
- Any “killer feature” you think is missing
Anything feel clunky or confusing?
Note: Mobile has some UI issues which are being addressed. Data pipelines for flights/lodging is in works to fix the manual part atm
Thanks for checking it out

value: Show HN: PlanAway – this app will get your trips out the group chat

author: mehrajhasan


value: richgodusen

value:
I’ve been experimenting with ways to reduce boilerplate when wiring up multiple backends for frontend projects. The Backend-for-Frontend (BFF) pattern is a common approach, but most solutions I found were either too heavy or tied to specific platforms.
I wrote a small CLI in Go called bffgen:
scaffolds a BFF service with chi, echo, or fiber
sets up CORS, JWT, Redis, and session management by default
supports route templates for aggregation
now includes a bffgen.yaml config so defaults persist across runs

value: Show HN: Bffgen – A Go CLI to generate secure Back end-for-Front end APIs

author: richgodusen


value: willchen

value:
Hi HN!
I left Google earlier this year and created Dyad, a local, open-source AI app builder made with Electron.
The motivation: I tried one of the popular cloud-based AI app builders, but when I pulled down the app to run locally and debug in Cursor, it just didn’t work. So I created Dyad, an app builder that runs fully on your computer, making it easy to switch between Dyad and coding tools like Cursor or Claude Code.
Source code: https://github.com/dyad-sh/dyad/
Download (free, no sign-up): https://www.dyad.sh/
I've gotten questions about how it works under the hood so I wrote an architecture doc explaining how it does tool calling using XML tags, etc:
https://github.com/dyad-sh/dyad/blob/main/docs/architecture....
Let me know what you think and happy to answer questions about building an Electron app, etc!

value: Show HN: Dyad, local, open-source Lovable alternative (Electron desktop app)

author: willchen


value: lexokoh

value: Show HN: GPUKill – A lightweight tool to kill stuck GPU jobs

author: lexokoh


value: drschlange

value:
Nallely is about experimenting with signals: routing, patching, or writing small neurons that process signals and eventually sink in MIDI devices or any application connected to Nallely.
I try to get inspired by the "Systems as a Living Things" philosophy and aim, step by step, to create an auto-adaptive, resilient, distributed system. Currently, neurons live in their own thread in a session (world), and send signals (messages) to each other through patches (channels). You can also connect to a network-bus neuron to register your own neurons written in any other technology and have them interact with the existing neurons inside the world. Nallely offers an API to easily code your own reactive neurons, and provides a mobile-friendly GUI for patching everything visually.
As anyone posting something based on Python, I can already hear: "no, Python's bad, think about the performances, think about the children".
We all know about Python performances (we've all seen the animation with the moving balls and stuff), but the focus here is on dynamic and emergent behaviors, extensibility, and run time adaptability over extreme performance. Even though Nallely is written in pure Python, it runs on a Raspberry Pi 5 (ok, a powerful one), consuming less than 10% CPU on a normal usage and around 40MB of memory.
And, as someone mentioning Smalltalk, I can already hear: "Why didn't you write it in Smalltalk"? (replace Smalltalk by your prefered dialect)
I like Smalltalk, but I also like Python. Nailed it, perfect justification. Jokes aside, IMO Smalltalk is "Systems as Living Things" pushed at its extreme for designing a language, and I admire that. With Nallely, I want to explore the same philosophy: independent musical/signal-processing neurons, without relying on Smalltalk, while benefiting from Python's deployment and ecosystem advantages (compared to Smalltalk).

value: Show HN: Nallely – A Python signals/MIDI processing system inspired by Smalltalk

author: drschlange


value: brisbanesilicon

value: Still a bit of a WIP, but getting there...<p>Any feedback appreciated :)

value: Show HN: Microcontroller with hardware-accelerated Lua VM

author: brisbanesilicon


value: nicktay

value:
Hey all, Nick here. I am building Vicoa (Vibe Code Anywhere) https://vibecodeanywhere.com, a tool for you to use Claude Code (and Codex) anywhere.
With Vicoa you can:
- Run a regular Claude Code session from terminal
- Pick up the same session on mobile or tablet
- Get push notifications when Claude Code needs your input
- Keep everything in sync across devices
Demo video here: https://www.youtube.com/watch?v=ZBpNzqqLYmg
I built this because I kept hitting the same pain point with Claude Code: you have to sit and babysit it. Often Claude stops mid-flow waiting for input. If I stepped away — even just for coffee — I’d come back later to find progress stalled and needs my input. So I built the Vicoa.
You can install it with a simple command: `pip install vicoa && vicoa`
Download iOS App here: https://apps.apple.com/app/id6751626168
This is an early version. Looking forward to your feedback and comments.

value: Show HN: Vicoa – Code with Claude and Codex Anywhere with Mobile Client

author: nicktay


value: taeyeong

value:
Hi HN,
My team have spent years as developers and operators, and we’ve been incredibly frustrated by a common, nagging problem: secure server access. We’ve all been there—the endless authorized_keys file management, the VPN configs that break at the worst possible time, or the constant fear that someone who left the team still has access to production. It’s an exhausting and friction-filled process that takes away from what we should actually be doing.
We looked for a better way, but every solution we found was either too complex, too expensive, or still relied on the same outdated methods. So, we decided to build our own. That's how Alpacon was born.
We designed Alpacon from the ground up to solve these pain points. It's a zero-trust platform that completely removes the need for SSH keys and VPNs. Our goal was to create a tool that is not only secure by default but also so simple that it gets out of your way.
Here’s how it works:
Instant Onboarding: Add a new team member and grant them secure, role-based access in seconds. No more key management.
Auditable Access: Every action is logged and auditable. You always know who is accessing what, and when.
Granular Control: Instead of broad firewall rules, you can define precise, least-privilege access policies for every user and resource.
We’re now opening our beta program to a small group of users. This isn't just about launching a product; it’s about starting a conversation and getting feedback from people who live and breathe this problem every day. Your insights will be invaluable in helping us shape Alpacon into the tool we all wish we had.
We’re genuinely excited to see how you use it and what you think.

value: Show HN: Zero-trust server access without SSH keys, VPNs, or firewalls

author: taeyeong


value: rorouni-dev

value:
I've recently been working on a computer vision project and needed to download quite a lot of sample clips from YouTube. The existing online tools are littered with ads, watermarks or paywalls just for >360p quality videos. I discovered yt-dlp but it wasn't the most user friendly, so I built a desktop GUI wrapper to speed up my workflow.
yt-clipper lets you download specific segments from YouTube videos without grabbing the entire file. You paste a YouTube URL, set your start and end times, pick your quality, and download exactly what you need. No ads, no artificial limits beyond what YouTube itself imposes, no account required.
The tool runs yt-dlp under the hood but wraps it in a simple interface. You get the power of yt-dlp without dealing with command line arguments or documentation. Works on Mac and Windows (sorry Linux users).
Built this because I was tired of downloading 20-minute videos when I only needed 30-second clips for training data.

value: Show HN: Another Yt-Dlp Wrapper

author: rorouni-dev

title: Show HN: Another Yt-Dlp Wrapper


value: dibrale

value: Show HN: I used the Regions repo to critique its own README.md

author: dibrale


value: chooat

value:
One of the recent sections I added is focused on “figurine-style” prompts — the kind that make an image look like a collectible toy or a commercial product photo. Here’s the page if you want to try it: [Nano Banana 3D Figurine Maker](https://editimg.ai/nano-banana-3d-figurine-maker).
The idea isn’t a model or API of my own — it’s more like a library of tested prompts. I found that structuring prompts as if you were briefing a photographer or product designer (“scale,” “packaging,” “studio lighting”) consistently improved results.

value: Show HN: Exploring how different AI prompts change outputs

author: chooat


value: Show HN: A Chrome extension to lookup insider transactions


value: aurelienvasinis

value:
I used to run a startup back in 2018 where I built highly relevant prospect leads for companies manually.
This is an Ai agent that does what I used to do manually - source, curate, enrich, qualify leads, and find the right decision makers with contact information.
The Ai agent builds a custom database of leads automatically
We just upgraded the new UI as well as made our agents smarter.
Check out the new website: https://kurationai.com/
Demo: https://youtu.be/KmlGnP3dzkE?si=N6FZwNubi70hS4nJ
Use "PHK15" to get 15% off on any plan.
Thanks,
Aurelien,
Founder, Kuration AI

value: Show HN: I built Cursor for B2B Research that builds lists of leads by prompting

author: aurelienvasinis


value: combineimages

value: Show HN: Luma Ray3 – Generate Cinematic AI Videos in 16-Bit HDR

author: combineimages


value: newhuser

value:
https://pugleaf.net
In Memory of Retro Guy
Thomas "Thom" Miller (Retro Guy) - Creator and Lead Developer passed away April 26, 2025
Thom was the visionary behind RockSolid Light, transforming NewsPortal into a newsgroup platform.
This project continues in his honor, maintaining and modernizing his exceptional work for future generations of newsgroup enthusiasts.
His sites are offline now: | novabbs.com | novabbs.org | novalink.us | i2pn2.org | rocksolidbbs.com
RIP Retro Guy!
The internet never forgets, and neither will we!
https://pugleaf.net

value: Show HN: Go-Pugleaf – Usenet NNTP to Web Gateway – Written in Go

author: newhuser


value: I've been working on a ROS 2 package that detects route blockage signboards used in the Tsukuba Challenge. The approach relies entirely on point cloud data and intensity information from a 3D LiDAR sensor without camera input.

value: Show HN: Signboard Detection Algorithm Using Only Point Cloud Data


value: miletus

value:
Today we’re excited to introduce AgentSea, a private AI chat built for sensitive work.
When you use closed-source AI models, your data can:
– be stored
– pulled into training pipelines
– shared with third parties
That might be fine if you’re making memes or drafting LinkedIn posts. But it becomes a serious risk when you’re pasting contracts, health info, financial data, or business secrets.
That’s why we built AgentSea.
In Secure Mode, all chats run on open-source models or models hosted on our own servers. Your data never leaves, is never used for training, and is never leaked.
Agentsea also gives you access to 100s of community-built agents, along with tools like Reddit, X, and YouTube search.
Try it here: agentsea.com
Would love feedback from the HN community.

value: Show HN: AgentSea – private AI chat for sensitive work

author: miletus


value: nicojuhari

value:
Rock Paper Scissors is a FREE online game.
Create a game and play with friends or challenge the computer anytime! No Sign-Up Required!

value: Show HN: I built the simplest Rock Paper Scissors game online

author: nicojuhari


value:
Hi folks!
We just launched a fun tool inside AgentSea
It lets you generate and compare images across top image models side by side using the same prompt
We'd love for you to try it out and share your feedback!

value: Show HN: Imagine – Generate and compare images across top models side by side


value: EthanSeo

value:
Hey HN,
My dream is to become a solopreneur and build something meaningful and helpful for others. This tool is the very first step toward that dream.
I’m a university student in South Korea. In my general education classes, there’s a constant need to summarize assignments and readings. Honestly, I’ve never been good at summarizing, so I always relied on AI. But each time, I had to repeat the same instructions like “make it formal,” “shorten it,” or “change the tone.” That felt frustrating.
So I decided to make a tool that removes that repetition. With my app, you can quickly choose your tone, format, and focus, and get a summary tailored to your needs—without having to re-prompt every single time. I believe this can help not just university students, but anyone who needs faster and more personalized summaries.
I built this in just 1.5 months, starting completely from zero. It’s my first product, and I know there’s so much more to learn and improve. Your feedback would mean a lot and help me grow further.
Thanks for reading!

value: Show HN: I Made Personalized Summary Tool for You(Built in 1.5 Months,from Zero)

author: EthanSeo


value: donttrunright

value: Show HN: Creating an app with Monkey C for bike computers

author: donttrunright


value:
I feel like an idiot. This may be half Show HN, half seeking free therapy.
I've had an account on here since 2012, I've been a professional software engineer since 2005. I try and read and learn and yet I keep putting myself in the same holes.
I've built out what is essentially a LinkedIn alternative, I've got ideas about how to improve it beyond that, but it's the simplest way of explaining it for now. The key differentiator is that it limits the number of applications a candidate can make (3 in 7 days). Twitter for applicant count seems to convey what I'm trying to do to other engineers. I'm also trying to allow for candidates to receive feedback and generally improve the process.
It's all to try and address what I see is an issue with roles receiving thousands of applicants within hours and how that and the tools to deal with it are failing both candidates and those recruiting. Obviously, OpenAI have just announced their offering is in the pipeline, which perhaps confirms what I see as an issue, even if we have different approaches for fixing it.
I have form for this; writing software, thinking it has some value, but not being able to figure out how to get even the slightest bit of traction. Watch this thread die as yet more proof! :)
This time, I've outdone myself. Knowing that it's particularly an issue in Dubai, with a relatively small, condensed market, but a sought after location, I jumped on a plane to Dubai thinking I would track down some recruiters and plead with them to post some roles, which I would then try and promote, and perhaps I'd get feedback I could use to refine and iterate. I've spent the week in a hotel room with flu, and not managed to get to speak to a single recruiter. Every post I've tried to local facebook groups gets rejected and I can feel myself walking the same path towards abandoning it, even though I don't think that's going to bring answers.
Is it a terrible idea? I have zero sign ups so I don't think I can know if it's terrible execution (it's certainly early, there's bound to be bugs). Am I just terrible at marketing? How do people do this?!

value: Show HN: Sifted³ – A Professional Social Network


value: davidswb

value:
We're sharing a free and public llms.txt generator and endpoint.
Our approach: we crawl your main page, then parse metatags and links to construct the llms.txt. The key is that this process happens without relying on any LLMs, which keeps it very fast and our operational costs extremely low. This allows us to offer it completely free.
Check it out on the homepage, or just send a GET request:
https://get.llms.page/{yourwebsite}/llms.txt
We'd appreciate any feedback or suggestions for features/improvements.

value: Show HN: LLMS.Page – Public LLMS.txt Endpoint

author: davidswb


value: junlianglee

value: Show HN: Skip docs, give your devs a working app with your API/SDK in 60s

author: junlianglee


value:
Hello,
I got an idea from a friend a couple of weeks ago when we were discussing how heavy simple apps have become with all their unnecessary features. If you only want to communicate via good old text, you almost certainly need to install some kind of heavy and often slow desktop app. We talked about how cool it would be to just use your terminal without any dependencies. So I got the idea to create a simple chat app, but instead of making YAA (yet another app), why not use something almost all people already have installed on their PCs - SSH? So TermChat was born.
Simply type: ssh termchat.me
then: /help to see all the available commands or /register and then /login.
Switch panes via tab, navigate by 'hjkl' or arrows.
It’s still early days, so there will be (are) bugs and hiccups but the basics work: public/private rooms, notifications, and DMs.
There are no email registration/verification etc. It's simple username/password registration. Passwords are hashed and salted, private rooms and chats are encrypted at rest.
I'm working with code cleanup and docs. now and planning to open source it soon.
Feedback, critique or anything that could help me improve this project are welcome. My main reason for creating this was that I just want to communicate with people via simple text with tools I already have on my computer.

value: Show HN: TermChat – Terminal chat (rooms/DMs) via SSH


value: Show HN: Hydrate – Drink Water Reminder [Figma Widget]


value: BAAIBeijing

value:
We’re excited to share RoboBrain-Audio（FLM-Audio）, a new 7B spoken dialog chatbot with native full-duplexity. FLM-Audio achieves superior response qualities and chatting experiences while requiring significantly less training data.
Key innovations:
 Natural Monologue
Abandons word-level timestamps and innovatively proposes the “Natural Monologue ” mechanism
Preserves the inherent advantages of LLMs in generating coherence and instruction-following.
effectively addresses the context-dependent pronunciation issues of certain words (especially numbers).
Dual Training Paradigm
Training spans two major stages, four sub-stages, simulating ASR, TTS, and interactive dialog tasks.
 Post-Training stage equips the model with the basic abilities of “listening” and “speaking”.
 Supervised Fine-Tuning (SFT) stage then shapes its dialogue and full-duplex interaction capabilities.
Resource Links：
https://arxiv.org/abs/2509.02521
https://huggingface.co/CofeAI/FLM-Audio
GitHub - cofe-ai/flm-audio: FLM-Audio is a audio-language subversion of RoboEgo/FLM-Ego -- an omnimo
The model is now open-sourced, and we look forward to your use and feedback.

value: Show HN: FLM- Audio, our 7B spoken dialog chatbot with native full-duplexity

author: BAAIBeijing


value: allmanac

value: Introducing CryptoMillions - Progressive and Transparent Lotteries on Ethereum

value: Show HN: Progressive and Transparent Lotteries on Ethereum

author: allmanac


value: danielskogly

value:
Hi HN!
We're two founders from Tromsø, Norway who have spent the past 4,5 years bootstrapping Instorier. Everything you see here, from the editor to the runtime, we built from scratch.
Instorier is a modern website builder focused on storytelling. Out of the box it supports 3D/WebGL scenes, map journeys, and motion, with real-time collaboration and instant hosting. You can also embed Instorier stories into an existing site without a migration.
What's new now: an AI-optional onboarding flow. It helps you get started quickly, but keeps authorship yours. This isn't about generating cookie-cutter sites, it's about lowering the barrier to telling meaningful stories online.
We've found some early product-market fit in the media industry, like with Stavanger Aftenblad in Norway and Scrolli.co in Türkiye. At the same time, broader adoption has been harder. That's why we're now also exploring use cases for startups, comms teams, and agencies, while keeping the focus on what we believe makes any landing page or article succeed: engaging, meaningful storytelling.
Tech stack is Next.js and React for the service, React, Redux Toolkit, Three.js and lots of other custom JS/TS for the Editor, and the website runtime is very custom and uses Three.js for some heavy lifting.
Also we've disabled scrolljacking by default since posting here last time :)

value: Show HN: Instorier – A story-first website builder. AI-optional, bootstrapped

author: danielskogly


value: boxedsound

value:
I have built a game that combines popular rogue like mechanics with language flashcards. This way you can effortlessly pick up new vocabulary.
To play: build a deck of super cards, and flashcards. Build combos playing around letters in your cards and score big points.
A year ago I played a very popular and fun rogue like deck builder. I thought "I wish language learning was this fun". So I started this project.
The game has a free playtest open for anyone to check out.

value: Show HN: A roguelike language flashcard game

author: boxedsound


value: Homos

value:
Hi HN,
I do a lot of client emails and cold outreach, and I kept forgetting to follow up on important Gmail threads. CRMs felt too heavy, and Gmail itself didn’t have a simple solution.
So I built Did I Reply?, a lightweight Chrome extension to scratch my own itch.
What it does:
Set Gmail follow-up reminders in one click
See how many reminders you’ve scheduled at a glance
Save & insert reusable templates for faster replies
Works instantly inside Gmail — no setup, no logins
100% private (your data never leaves your browser)
Free to use with all core features — upgrade only if you want more.
didireply.app
I’d love feedback from the HN community:
What do you currently use to track follow-ups in Gmail?
If you try this, what’s missing or confusing?
Would you want to see integrations outside Gmail (e.g. Outlook)?
Thanks for checking it out

value: Show HN: Did I Reply? – Free Gmail Reminders and Templates

author: Homos


value: Welcome to the most comprehensive Borderlands 4 map resource available for exploring Kairos planet. Our advanced interactive mapping tool provides detailed coverage of all four major regions, making it the essential resource for every Vault Hunter seeking to master planetary navigation. Since its 2025 launch, our professional service has helped over 500,000 players discover hidden secrets across the galaxy. This platform remains the industry standard for accurate exploration.

value: Show HN: Borderlands 4 Map – BL4 Interactive Map Tool


value: Yacker

value:
Hi HN,
I’ve been working on a new project: ray3aivideo.com
, powered by Ray3, which we describe as the world’s first reasoning video model.
Ray3 is also the first model (to my knowledge) that can generate studio-grade HDR video, and it introduces a new Draft Mode for rapid iteration—helpful if you’re testing prompts or exploring creative workflows. On top of that, we’ve been focusing on physics realism and scene consistency, two areas where many current models still struggle.
What it does
Generate short videos from text prompts, optionally combined with images.
Two modes:
Draft Mode → very fast, rough outputs for quick idea testing.
Full Mode → higher fidelity with HDR and more consistent motion.
Emphasis on realistic physics and temporal stability.
Runs directly in the browser, no queue or signup required.
Why I built it
Existing models are often slow, inconsistent, or closed-off.
I wanted a setup where indie creators and developers could explore new workflows without waiting in line.
I’m curious to see how Ray3’s approach (reasoning + HDR + physics) performs compared to other systems.
Try it
https://ray3aivideo.com/?utm_source=info12138
Feedback I’d love
How does HDR output look on your devices?
Is Draft Mode useful for iteration, or should it behave differently?
Where does Ray3 still break or fail compared to other models?
This is still an early release, and I’d love to improve it based on real-world use cases.
Thanks for taking a look!

value: Show HN: Ray3 AI Video – Reasoning Video Model with HDR and Draft Mode

author: Yacker


value: Show HN: An RDMA/Infiniband Distributed Cache for Fast Inference and Training


value:
I’ve been working on an AI agent called Splitly, designed to help people manage personal finances directly through chat. Splitly can record spending, bills, and borrowed or lent money. Instead of just typing, users can also upload bill photos or send audio messages, and the agent extracts and logs the details automatically. It then provides summaries, balance sheets, and recommendations such as highlighting overspending, or suggesting limits.
Splitly lives inside NexChat, a messaging app we’re building where people can connect not only with other users but also with AI agents. Users can interact with Splitly privately as their personal finance assistant, or they can invite it into a one-to-one chat so that two people can collaborate with the agent in real time. Beyond Splitly, anyone will be able to build and submit agents to NexChat, making it an open ecosystem where agents can become active participants in conversations.
The broader goal is to treat AI agents as first-class chat participants, useful not just for individual productivity but also in shared, human-to-human contexts.
I’d appreciate feedback from the HN community on both Splitly and the idea of an open agent ecosystem in chat.

value: Show HN: Splitly – AI Expense Tracker

title: Show HN: Splitly – AI Expense Tracker


value: mrgreenyboy

value:
Hi,
I built this little API as I wanted to do this in one of my projects, looked around and found that it was either quite difficult to do, had a bunch of extra stuff that was useless, didn't support SMTP/IMAP, etc...
I tried to price it at 5x less than Nylas, because I have less features and it's a new API. It's free in the development mode, if you join the waitlist I can invite you, I'm only limiting it because the payment system isn't fully built, and webhooks don't work in development, but I'm going to add those soon.
thanks for reading this small rant,
Dan
PS: I will give this away for free, if you give me feedback.

value: Show HN: Simple API for connecting user email accounts

author: mrgreenyboy


value: SamuelRubidge

value: Show HN: Baboons AI – Convert Excel files to Python code in one click

author: SamuelRubidge


value: Show HN: Biniou – a local, event-driven job scheduler and automation framework


value: jonotime

value:
I was a huge Pocket user, even before Firefox entered the picture. But it lacked some features and started to not work well offline. And for my use, I need to be able to read when I don't have internet.
I started working on this over a year ago. This is my third re-write. First was in Kotlin, then Expo, then Tanstack. I've been loving building PWAs, especially local first ones.
Savr has a long way to go, but I have been dogfooding it for a while and I hope to get some feedback from yall.
See the code design at https://github.com/jonocodes/savr
Use the app at https://savr.link/

value: Show HN: I built Savr – A local first alternative to Pocket

author: jonotime


value: sandGorgon

value:
So we contributed our Android TEE based browser enforcement to the community.
the PR is here - https://github.com/wootzapp/wootz-browser/pull/373.
I’ve been deep in the weeds on our browser, and we just merged something that felt worth sharing with this community.
We got Android’s hardware keystore (TEE / StrongBox) working end-to-end so that client certificates are truly non-exportable. The device generates the key inside the secure enclave, we enroll it, issue a device identity cert, and from then on the browser can only present that cert for mTLS handshakes. No chance of stealing or exporting the private key.
The idea is simple: if you want to enforce zero-trust access at the browser level, you need strong device identity. Passwords and tokens leak, but hardware-backed certs with attestation give you a much higher bar. We had to solve for Android quirks, avoid the trap of server-supplied keys, and make sure auto-selection doesn’t leak certs to the wrong sites.
It’s live in our Wootz.app browser

value: Show HN: A new open-source browser with Android TEE based enforcement for agents

author: sandGorgon


value:
Hi HN,
I built nanokv, a small distributed object/kv store in Rust.
This started as a personal learning project to understand distributed systems, concurrency, and Rust at scale, but it evolved into something that’s actually usable:
Architecture: Coordinator (metadata, placement, 2PC) + volume servers (blob storage)
Features: replication, consistency, health checks, repair, rebuild, rebalance, GC
APIs: simple REST (GET/PUT/DELETE)
Ops: verify/repair/rebuild tools, OpenTelemetry tracing, K6 benchmarks
Performance: on my laptop, 64 MB objects sustain ~600–1000 MB/s per stream; aggregate throughput climbs into hundreds of MB/s with replication.
It’s nowhere near the sophistication of MinIO or SeaweedFS, but the code is simple (a few thousand lines), and the focus is on clarity and hackability rather than features.
I learned a lot about backpressure (multi-semaphores for control vs data), streaming I/O, and debugging bottlenecks with tracing. If you’re curious about building storage systems in Rust, the repo has a detailed README and benchmarks.
I’d love feedback:
Does the design make sense?
What would you like to see if this grew beyond a learning project?
Thanks for reading!

value: Show HN: I built a distributed key-value store in Rust (~2K LOC)


value: ardagurer

value:
I built a browser-based puzzle game where you arrange a set of items in the correct order (timeline, milestones, inventions, etc.). Each day there’s a new lineup to solve.
The game is free to play, no ads, and works on desktop and mobile. I wanted to make something quick to pick up, like Wordle, but with a twist on ordering/chronology puzzles.
You can try it here: https://lineuppuzzle.com
Would love to hear your feedback on gameplay, UX, or anything that could make it more fun and sticky.

value: Show HN: Lineup Puzzle – A New Kind of Daily Puzzle Game

author: ardagurer


value: lexokoh

value: Show HN: GPU Kill – A CLI tool to kill stuck GPU jobs without rebooting

author: lexokoh


value:
Hello HN,
I’m excited to share a small milestone. This project began as my engineering final year project about 3 years ago. Back then, it wasn’t anywhere near what I had envisioned, so I dedicated my free time during weekends towards this project and finally I think I have elevated it to a level, brought it to a stage I’m proud of
DataStore4J is a Java-native key-value store built on an LSM-tree architecture, inspired by Google’s LevelDB.
I’ve also put together some benchmarks comparing it against similar databases (https://github.com/theuntamed839/DataStore4J/blob/main/Bench...)
Some information on the internals (https://github.com/theuntamed839/DataStore4J/wiki)
I’m the sole developer on this, so I’m sure I’ve misused Java in places, missed edge cases, or even obvious bugs. I'd love to hear any feedback, and issues.

value: Show HN: DataStore4J A thread-safe, high-performance key-value data store


value: cofeess

value: Show HN: Simple UI business management tool for small business

author: cofeess


value: combineimages

value:
Hi Hacker News! We're excited to share our new project: Ray3, available now at https://ray3.run.
 We love making AI videos, but noticed they often look a little fake—things jump around, and the physics are wrong. We built Ray3 to fix that.
 What makes Ray3 special?
 It Can "Think" (Reasoning): Ray3 is the first video model that can "reason." This means it thinks about your idea first, checks its work, and tries again to make it better. It helps keep your characters and scenes consistent, even in long, complex shots.
 Super Real Color (HDR): Ray3 can make videos in 16-bit HDR. That’s a fancy way of saying the colors, lights, and shadows are much more real and beautiful. It's the kind of quality filmmakers use.
 Fast Idea Test (Draft Mode): We added a Draft Mode so you can test your ideas in about 20 seconds. If you like the draft, you can upgrade it to the final, high-quality HDR video. No more waiting forever just to see if your idea works!
 Better Physics: We worked hard to make the movements and physics look more correct. Things act like they should in the real world.
 We truly believe this combination of a "thinking" AI and professional-grade HDR quality is a big step forward for video creation.
 Give it a try and let us know what you think: https://ray3.run
 We'd love to hear your feedback—especially on how the colors look, and if the Draft Mode helps you work faster!

value: Show HN: Ray3 AI Video – A New Model That Can Makes Realistic Videos (Ray3.run)

author: combineimages


value: pancakeguy

value:
Hi HN! We're Jake, Jack, and Joe, the creators of Burla, the world's simplest cluster compute software.
Believe it or not, it's still super common for research / data-analysis teams to handoff work to Engineering because they aren't able to easily scale analyses on their own.
Engineering managers we spoke with frequently attempt to onboard these teams to tools like Apache Airflow, Prefect, Dask, or Ray, but these tools come with hidden tradeoffs and complexity that researchers often struggle with on their own. This is can be very painful for engineering managers who wind up acting like highly paid support/education staff, instead of focusing their real work. It's also very painful for research teams who are often blocked waiting on engineering/devops to help them.
This is why we created Burla, it's designed to be simple enough for even complete beginners to scale python across thousands of VM's.
It's open-source, works with GPU's, custom containers, and up to 10,000 CPU's in a single cluster.
We just launched our managed service and are giving away free compute to anyone who we think might a good fit, if you want to give it a try please let us know, and we'll send you a personalized instance today!

value: Show HN: Extremely simple cluster-compute software

author: pancakeguy


value: refactormonkey

value:
We are Eric and Alex and we are the developers behind RocketQA. We built it for our own team because we were tired of writing clunky QA tests. We wanted something that felt natural — write features in Gherkin, run them with Playwright, and actually enjoy reading the tests later.  We wanted our manual QA guys to write automated tests without developers' help.
Unlike most QA frameworks, RocketQA keeps tests both developer-friendly and business-readable. You don’t have to choose between speed of writing and clarity of output. It’s also lightweight - no complex setup, just plug it into your project and go.
It worked well for us, so I decided to make it open source and put it out there in case it helps anyone else. No sales pitch here - just sharing because I know how annoying QA automation can get when it doesn’t fit into your workflow.
If anyone’s curious, I’m happy to record a quick video walking through how we use it. Or if you just want to poke around, docs are here: https//rocketqa.ai/docs
Would love feedback, ideas, or just to hear how you’re handling QA in your projects.

value: Show HN: RocketQA – Write Tests in English (Gherkin), Run with Playwright

author: refactormonkey


value:
Hi HN! I built RustNet, a Terminal UI based network monitor written in Rust that shows real-time connections with process identification and protocol detection.
What may make it interesting:
• Deep packet inspection for HTTP, HTTPS/TLS (with SNI), DNS, and QUIC protocol detection
• Process identification using eBPF on Linux (experimental) and PKTAP on macOS which does also catch short-lived processes that polling procfs or lsof would miss
• Multi-threaded packet processing with lock-free data structures for the UI
• Cross-platform (Linux, macOS, Windows but process identification so far only on Linux/macOS)
The eBPF implementation was a bit more tricky to implement than using PKTAP, but it was very interesting to learn about how to hook into tcp_connect, udp_sendmsg, etc. in order to catch process info before connections disappear.
I built this as a lightweight Wireshark alternative for quick TUI based network inspection with process identification.
Install: cargo build --release, run with sudo or set capabilities. Homebrew tap also available.
Would love feedback on the project and any ideas for additional protocol detection or any other suggestions. Thanks

value: Show HN: RustNet, a network monitoring TUI with process identification


value: cirdhu

value: Show HN: Lucy Edit AI-A Free Text-Guided AI Video Editor

author: cirdhu


value: AdamEssemaali

value:
Hi!
Deployment is often more painful than writing code itself: VPS setup, AWS configs, SSH, firewall rules, debugging when things break…
I built https://jadehosting.app to reduce this to a drag-and-drop.
No configuration required, just upload the code and it works.
The service isn’t public yet, but the waitlist is open.
Early signups will get 1 year free hosting when we launch.
Feedback from HN is very welcome.

value: Show HN: Jade Hosting – drag-and-drop deployment

author: AdamEssemaali


value: ttruett

value: Show HN: Orgtools – Decision-making software for scaling companies

author: ttruett


value: kaushikmahorker

value:
Hey HN! We’re open-sourcing DeepContext MCP, a semantic search tool for Claude Code, Codex CLI, and any coding agent that supports MCP.
It lets agents query for meaningfully relevant code instead of relying only on keyword-based matches. You can try it here: https://wild-card.ai/deepcontext
We originally built this at Wildcard while working on background coding agents that take a ticket and return a PR. One of the persistent challenges was surfacing the right code context to steer the agent, especially for tickets that were less explicitly described.
Most coding agents today rely on ripgrep or keyword-based search to pull in files. This works fine on small vibe-coded projects, but breaks down on real-world repos with deep folder structures and inconsistent naming. We kept seeing two failure modes:
1. The query pulls in too many loosely matched files and overwhelms the context window.
2. The actual code snippets the agent needs are missed or buried.
DeepContext is our solution to this. The agent automatically generates semantic queries based on the user’s prompt, and calls DeepContext as a tool to retrieve relevant code chunks designed to fit in context. We currently support TypeScript and Python symbols.
We saw that existing AI coding tools like Claude Code and Codex CLI also rely on ripgrep, and thought this might be useful for devs using these tools too. So we pulled it out as a standalone MCP server and open-sourced it.
We’d love for you to try it out and share any feedback.
You can browse the code here: https://github.com/Wildcard-Official/deepcontext-mcp
And install the MCP here: https://wild-card.ai/deepcontext

value: Show HN: DeepContext MCP – Large Codebase Search for Codex and Claude Code

author: kaushikmahorker


value: Show HN: Personalised Interview Preparation Qs: From Your CV and Job Description


value: Show HN: Koteshen – Invoicing for service businesses outside Silicon Valley


value:
Hello HN,
I have been an avid user of Linux for a few years and have always wanted to make a contribution to the ecosystem. This is my first standalone contribution.
GNOME Speech2Text is a Shell extension that uses OpenAI’s Whisper automated speech recognition to let you dictate via microphone and have your words transcribed.
Given how much vibe coding I do these days, this extension has made my development with various tools much faster.
I learned a lot building it and got great feedback publishing it in the extensions store.
If you try it, I’d appreciate any critique or suggestions for improvements.

value: Show HN: Speech2Text, a Gnome Shell Extension for Dictation


value: anuarsh

value: Show HN: Run Qwen3-Next-80B on 8GB GPU at 1tok/2s throughput

author: anuarsh


value: bnchrch

value:
Hey all,
I created a small git worktree utility some might find useful when creating worktrees so you can work on a few tasks in your code base in parallel
https://github.com/bnchrch/wt
------
Why did I create this?
------
Essentially raw worktrees are rough
1. You need to decide where in your file system to create them
2. Theres no connection back to the original local repo
3. Theres no way to copy or symlink untracked files (.env, build artifacts etc...)
I looked at existing worktree helpers and could not find anything that both
1. Let me create a branch + worktree and cd to the worktree in one command
2. Prune unused worktrees
3. Set what untracked files I wanted to "sync" and how
So I created my own
------
What does it do?
------
1. Introduces a `.worktree` file you can add to your project that defines:

  1. Where to create worktrees

  2. What files/folders to copy/symlink (e.g. `.env`)

  3. What commands to run when you create a new worktree (`npm install`)

2. Create a branch + worktree + cd to the folder in one command `wt switch <branch-name>`
3. Return to the root repo in one command `wt root`
4. Prune wt related to branches that no longer exist `wt prune --all`
----
Anyway, hope someone finds this useful, happy coding!

value: Show HN: wt a tool to help quickly manage git worktrees

author: bnchrch


value: ieuanking

value:
Hi HN!
We hear consistent complaints from academics, researchers, and scientists about AI chatbots having poor PDF awareness and often generating incorrect citations. This is bad for high-level researchers and people learning who need answers grounded in evidence.
We took the best parts of Cursor, like workspace awareness, @ symbol referencing, and human approval/oversight, and built a PDF browser with academic database searching (ArXiv and Semantic Scholar) + our Ubik agents that can highlight text down to the line level and use our "Detailed Notes Tool".
Why is this better?
With Ubik agents, you can either upload a PDF or search for an open-access paper and save it to your workspace (ingest the document and turn it into an interactive AI doc). With our Cursor-like @ referencing, prompt agents like: What the paper @example is about, highlight 10 points using the notes tool, and summarize why each point is important.
Unlike any available agents or models, Ubik agents can highlight text down to the line level; we call this a note. Every note is referable in chat using the @ symbol or drag-and-drop it into chat with any other file, canvas, found paper, etc.
Cross-analyze, annotate, and generate with citations. Pick from 20+ models, and use @ symbol referencing to craft better prompts that minimize hallucination and increase efficacy.
Start researching: https://app.ubik.studio/chat
Full app for MacOS and Windows soon + Custom EVAL suite almost done and ready to start test (will def share findings)

value: Show HN: Built an AI research environment inspired by Cursor and Google Drive

author: ieuanking


value: Show HN: KaniTTS – Open-source high-fidelity TTS with just 450M params


value: Alchemmist

value:
Tired of manually copying tunnel URLs, API tokens, or other dynamic values into config files? Even small tasks like this break flow and are error-prone.
I built Devsyringe, a small Go CLI that automates this process. You define rules in a simple YAML file, run a command, and it updates multiple static files automatically.
It works for tunnels, API keys, documentation, CI/CD configs — anywhere dynamic values need injecting. I’d love to hear how others handle injecting dynamic values into static files in their workflows.
GitHub: https://github.com/alchemmist/devsyringe

value: Show HN: Devsyringe – automate injecting dynamic values into static files

author: Alchemmist


value: kevinlarsson

value:
Got tired of saving my prompts scattered across X, Reddit, and Notion with no good way to organize or share them.
That's why I built CTX, a community collection of prompts and rules. Create, share, and remix – everything's free and community-curated.
Let me know what you think, any feedback is very welcome!

value: Show HN: I built a free AI prompts and rules directory

author: kevinlarsson


value: bolik

value:
Windows 11 enforces Control-flow Enforcement Technology (CET), which breaks many classical syscall stubs and ROP chains used in red teaming.
I spent the last few months investigating whether attackers can still invoke syscalls in a CET-compliant way without tripping EDRs , and how defenders can close those gaps.
Within GhostSys, I formalized a post-CET syscall threat model, Five CET-compliant syscall invocation techniques (Ghost Syscalls, RBP Pivot, Speculative Probe, KCT Smuggle, eBPF JIT) with 12,000-call evaluation, 0 CET violations, no detections across three EDRs
You will also find defender-focused recommendations. Check it out!
Note > Some techniques within GhostSys are known - its supposed to be a systematic, reproducible study of CET-compliant syscall invocation and detection coverage, not cutting edge (eBPF jit had a similiar talk, SickCodes DEF CON talk), Specter vuln has been seen in the Pafish++, but not turned towards syscall hook detection. Gadget scanning is essentially a much more rigorous SysWhispers + Halos Gate.

value: Show HN: GhostSys: CET-Compliant Windows Syscalls

author: bolik


value: knrz

value: Show HN: 1v1 YC Startups

author: knrz

title: Show HN: 1v1 YC Startups


value: arnestrickmann

value:
We built an open source layer to orchestrate multiple Codex agents in parallel.
Found myself and some friends running Codex agents across multiple terminals. Thats why me and a friend built emdash. Each agent gets its own isolated workspace, making it easy to see who’s working, who’s stuck, and what’s changed.

value: Show HN: OS layer for running multiple Codex agents in parallel

author: arnestrickmann


value: paulrusso

value:
I've been working on this small, slightly weird expression-oriented programming language for a little while now and feel ready to share it with others. I use it pretty often now in my day-to-day and work life, as a scratchpad for doing a bit of quick math or picking some pieces of data out of a JSON payload.
Would really appreciate any feedback about the syntax, docs, features that are glaringly missing, etc. Before anybody mentions it: I know the performance is pretty lousy when dealing with a lot of data. If you can believe it, the runtime is about 100x faster than it used to be! Long term I'd like to switch to a proper bytecode interpreter, but so far performance has been Good Enough for my use cases.
Thanks for taking a look!

value: Show HN: The Blots Programming Language

author: paulrusso

title: Show HN: The Blots Programming Language


value: AllaTurca

value: Show HN: M365 Office of Finance – AI, Third-Party Research, Quant and More

author: AllaTurca


value: rtuyeras

value:
Hi HN!
I and two other colleagues have been building Summoner, a decorator-first Python SDK with a Rust relay for live, duplex agent-to-agent networking across machines. Basically, think MMO but for AI agents.
It's currently in early beta (v1.0) (expect a few sharp edges), but we have already built 25 template agents from which you can build your projects (hello world, question/answer, protocol handshakes, negotiation, etc.) ;
### What it is
- A tiny runtime where you write @receive / @send handlers and let the relay move messages between agents in real time.
- Routes are simple strings that behave like labeled edges; the runtime compiles them into a small automaton so agents can coordinate without hand-building graphs.
### Why it’s different
1) Not a model-to-tool connector like MCP: Summoner focuses on agent-to-agent sessions and orchestration, not model-to-tool calls.
2) Not server-anchored agent executors like A2A: Summoner agents are mobile and duplex by default, so they can initiate/serve and move between relays without being wrapped as server executors.
3) Compared to LangChain/LangGraph, Summoner aims for less ceremony: you don't draw the graph, you just register handlers (MCP-like) and let routes drive the flow.
### What I'm looking for
- Critical feedback on the SDK (see https://github.com/Summoner-Network/summoner-docs)
- Where would you want MCP tools or A2A discovery layered in?
- Reliability/perf corners you would test first
- Security review of the state-machine approach
### Links
- Examples (start here): https://github.com/Summoner-Network/summoner-agents
- Docs / design notes: https://github.com/Summoner-Network/summoner-docs
- Core runtime: https://github.com/Summoner-Network/summoner-core
- Project page: https://summoner.org

value: Show HN: Summoner – Python SDK and Rust relay for live agent-to-agent networking

author: rtuyeras


value: taddgiles

value: Show HN: WeUseElixir - Elixir project directory

author: taddgiles


value: ivonellis

value:
Hi HN! I couldn’t find a truly user-friendly PlantUML editor, so I set out to build one.
PlantDiagrams lets you describe a diagram in plain English; it generates the PlantUML and renders it instantly. The goal is to shorten the path from idea → diagram without fighting the editor.
Tech:
- Next.js / Supabase / FLy.io / Vercel
Highlights
- Natural-language to PlantUML with live preview
- Export diagrams (SVG/PNG/TXT)
- Organize work with Projects
- Share via link; optional comments for review
- Sample gallery to open and tweak examples
Try it: https://www.plantdiagrams.com

value: Show HN: PlantDiagrams – AI-powered PlantUML editor

author: ivonellis


value: thisisparker

value: Show HN: fill harmonics, a crossword-themed music machine

author: thisisparker


value: freebzns

value:
Agents can talk, code, and browse… but until now, they couldn’t accept money.
We built PayDroid, a universal checkout for AI agents. It routes through the merchant’s own processor (starting with PayPal, Stripe coming soon), so there’s no license, no custody, and no messy integration work.
Developers just integrate once, and agents get a frictionless callback flow that works everywhere.
Demo (live with PayPal): https://demo.paydroid.ai
Docs: https://paydroid.ai
Would love feedback — what would you sell through your agent?

value: Show HN: PayDroid – AI agents can now accept payments

author: freebzns


value: TandemApp

value:
I built TravelScamWatch to collect and share real scam reports from travelers.
Scam info is scattered across blogs and forums, often outdated. This site brings it together by city (examples: Barcelona, Bangkok) and lets travelers submit new reports quickly.
I’m looking for feedback on how to make it more useful and how to encourage contributions.

value: Show HN: Scam Reports from Travelers

author: TandemApp

title: Show HN: Scam Reports from Travelers


value: barddoo

value: Writing Redis from scratch in Zig.

value: Show HN: Zedis – A Redis clone I'm writing in Zig

author: barddoo

story_text: Writing Redis from scratch in Zig.


value: sagiadinos

value:
GarlicSignage provides a suite of self-developed open-source software components that allow users to create custom digital signage solutions.
The concept is a modular system of individual building blocks that can be flexibly combined.
The following software components are currently available:
garlic-player: A media player for Windows, Linux, Android, and macOS is written in C++ with Qt lib. The playlists are based on w3c SMIL.
garlic-hub: A web-based CMS for managing content and controlling the media players. It is in PHP 8.4
garlic-launcher: An Android launcher that, together with the media player, enables a remotely manageable, root-free hardware solution. written in JAva
garlic-proxy: A transparent proxy solution for reducing bandwidth consumption written in PHP7.

value: Show HN: New Site for My OSS Digital Signage Toolkit

author: sagiadinos


value: richsong

value: Show HN: PyReactFlow – Generate React Flow Graphs from Python Code

author: richsong


value: mehrajhasan

value:
Hey HN
This app will finally get your trips out of the group chat.
I built PlanAway because planning group trips with friends always turned into: 200 unread messages arguing about dates A spreadsheet nobody updates Ten different apps for flights, stays, and activities
PlanAway puts everything in one place: - Create a trip with friends - Add reservations, expenses, and itineraries - Collaborate in real time (no more lost notes) - Get AI suggestions for activities and food
It’s live now as a web app. You can mess around with it WITHOUT creating an account! Still early, but usable — and I’d love any and all feedback.
I’d love your feedback on: - The #1 group-trip pain point you’d want this to fix - What would make you actually switch from chats/spreadsheets - Any “killer feature” you think is missing
Anything feel clunky or confusing?
Note: Mobile has some UI issues which are being addressed. Data pipelines for flights/lodging is in works to fix the manual part atm
Thanks for checking it out

value: Show HN: I replaced 47 GCs, 12 spreadsheets, and 5 apps with 1 tool

author: mehrajhasan


value: jwally

value:
========================
What is this?
========================
A short demo showing how a merchant can outsource age verification to a trusted institution (bank/KYC provider) with minimal cost and minimal data leakage. The user never hands the merchant their identity — only signed attestations like over_18: true. It’s a pragmatic build: WebAuthn proves token ownership; ECDSA signatures from the bank prove attestation integrity.
========================
Why Does It Matter?
========================
Age verification is usually either privacy-destroying (share DOB/SSN) or expensive. Banks already do KYC for many customers. If they can safely issue attestations that protect privacy and are cryptographically verifiable, merchants get compliance without storing PII and users keep their data. Age Verification becomes less useful in de facto outlawing free speech.
========================
How does it work (user-flow)?
========================
1) Go to https://app.hornpub.click
2) Click Generate PassKey
3) Copy the PassKey (there's a button for you)
4) Click on The Iron Bank link
5) Click on "Age Verification"
6) Make up some credentials to log in with - (un: xxx, pw: xxx, 2fa: 111111)
7) Paste your token into the TextArea
8) Copy the bank's token
9) Go back to HornPub (click button or whatever)
10) Paste the token into the "Complete Verification" text-area
11) Click the "Complete Verification" button
12) Complete the PassKey flow, and access the site
========================
How does it work (merchant-flow)?
========================
1) The user creates a PassKey, and you extract the key's ID and PublicKey
2) Base64 encode the {id, PublicKey} and let the user copy it
3) The user goes to their Bank or KYC provider.
4) The user provides the Bank's token
5) Have the user perform a WebAuthn Authentication by extracting the credential's Id and Public key from the bank's data. Use the entire bank's payload as your WebAuthn Challenge
6) Send the Authentication payload to the server
7) Verify the WebAuthn Authentication - this proves the user didn't create a token and sell it
8) Verify the bank's signature. You control what banks you accept. This proves it wasn't tampered with
9) Verify a salted-hash of the user's IP address.
========================
How does it work (bank-flow)?
========================
1) Publish your ECDSA signing key at /.well-known/keys
2) Accept a string payload from your user that you will sign. You do not have to verify or look at it.
3) Look the user up and add age attestations of `over_18:boolean` and `over_21:boolean`
4) Create a nonce, and provide it and sha256(nonce:ip) in your signature target
5) Sign base64Encode({over_18, over_21, nonce, ipHash, userPayload })
6) Provide the signature and signature-target to the user for them to copy back to the merchant site:
========================
Security Notes & Trade Offs
========================
WebAuthn proves the holder of the PassKey created the credential — prevents a user from inventing a credential and selling it.
ECDSA signatures from the bank prove the attestation came from an accepted bank and wasn’t tampered with. Merchant picks which banks to trust.
Nonce + IP hash minimize replay/copy-paste attacks. They do not make the system 100% subpoena-proof — logs and warrants can still correlate events.
Privacy: merchant receives boolean attestations only, not DOB or identity. Banks don't know where the user will use the token.

value: Show HN: Free and Anonymous Age Verification Demo

author: jwally


value: Show HN: Vibe-is-odd. AI powered odd number checker


value: trustprocesses

value: Show HN: I built a TradingView alternative using AI

author: trustprocesses


value: I have seen in the news that CEO’s are clamoring to get “water cooler chat” back. I am attempting to create online water cooler chat . Let me know your thoughts

value: Show HN: Water Cooler Chat

title: Show HN: Water Cooler Chat


value: noteable

value:
I created a completely free app that allows you to easily set music from TikTok as your ringtone.
You can search for "Ringtone Maker Guru" in the App Store.
You can also click the link: https://apps.apple.com/us/app/ringtone-maker-guru/id67522121...
Feedback is welcome.

value: Show HN: An app that sets TikTok video music as ringtone

author: noteable


value: jombib

value: Show HN: My Second Game Jam

author: jombib

title: Show HN: My Second Game Jam


value: rane

value: Show HN: Made a simple app to end the Bluetooth mic hijacking on macOS

author: rane


value: It can be annoying to use tools like Codex or Claude Code to edit scientific notes as they don't render LaTeX natively. I have fixed this issue. The performance seems good though it requires you to to use a terminal emulator which supports typescript which is admittedly gross. I have implemented this also as an Obsidian plugin at https://github.com/MaxwellsEquation/LaTerM-obsidian

value: Show HN: LaTerM: LaTeX renderer for terminal AI tools


value: vasudevofficial

value:
Hey everyone
I’ve been working on a project to help founders and entrepreneurs stay sharp, inspired, and connected. I recently launched a newsletter that delivers:
Actionable insights on startups, fundraising, and growth
Tools and frameworks founders actually use
Stories, case studies, and real lessons from startup journeys
Opportunities to connect with other builders and early-stage entrepreneurs
Why I built this:
As a founder, I often felt overwhelmed by noise—Twitter threads, endless articles, and scattered advice. I wanted something focused, concise, and practical—a newsletter I’d actually read every week. So I decided to create it.
Who it’s for:
Early-stage founders looking for clarity and direction
Builders who want to learn from others’ mistakes and wins
Entrepreneurs who want actionable strategies, not fluff
You can check it out here: [your newsletter link]
I’d love feedback from this community:
What topics would be most useful to you?
Do you prefer tactical deep dives or quick weekly takeaways?
Any suggestions to make it more valuable for founders?
Thanks YC community!

value: Show HN: A Newsletter for Founders and Entrepreneurs

author: vasudevofficial


value: mokuwaki

value: Upload a screen recording, click Analyze, and ZASSHA extracts clean, reproducible steps with thumbnails, rich context, and exports for Word, PowerPoint, or Excel in minutes.

value: Show HN: Zassha – Record your PC once. AI builds clear manuals automatically

author: mokuwaki


value: pariharAshwin

value:
I built FocusStream because I was tired of going to YouTube to learn one thing, then getting lost in recommendations and distractions.
With FocusStream, just enter your topic and get only the relevant YouTube videos—no unrelated suggestions or autoplay.
It’s free, minimal.
Would love your feedback!
Try it: https://focusstream.media
Demo video: https://drive.google.com/file/d/1fCvOJ6kRs9jn7O_hIGgP6wBuq4f...

value: Show HN: FocusStream – Focused, distraction-free YouTube for learners

author: pariharAshwin


value: Show HN: I built a wireless Dactyl 5x6 keyboard (under 10kINR)


value: hongvin

value:
I hacked together a small Chrome extension called ElementBlur that lets you blur stuff on a webpage in 3 ways:
- Select text → blur only the highlighted text
- Click element → blur entire DOM element
- Draw region → free-form blur with a rectangle
I was inspired by a few Product Hunt tools Blur It, Blurweb, but all of them are paid or require a license. So I thought: why not just build an open source version? With some help from Claude 4, I got it working.
This is super handy for screenshots, screen recordings, or sharing sensitive info without exposing everything.
Would love feedback! Any bugs or edge cases I missed? Features you’d like (hotkeys, persistent settings, export)?

value: Show HN: ElementBlur – Free Chrome extension to blur elements/text/regions

author: hongvin


value: Padriac

value: Show HN: Failed Firewall Update Disaster

author: Padriac


value: allenleee

value: Show HN: AirPosture – AirPods as Posture Coach

author: allenleee


value: mingtianzhang

value: Uploading this book to Claude will go beyond the context limit. One can use pageindex.ai/mcp to read it on Claude to bypass the context window limit.

value: Show HN: Read Pattern Matching and Machine Learning (PRML) on Claude [pdf]

author: mingtianzhang


value: airobus

value: Show HN: Queens Game – Daily Challenge and Leaderboard

author: airobus


value: Show HN: Raspberry: Nutrition Tracking AI Agent(USDA, OpenFoodFacts, Web Search)


value:
Tech Stack:
Lit Components for lightweight UI: lit.dev
Rust library compiled to Wasm for offline font metadata parsing via docs.rs/allsorts
Multimodal embeddings via vertex api
I'd love your thoughts and feedback, feel free to hit me with questions.

value: Show HN: Chrome Extension for Clipping Sites and Extracting Fonts/Colors


value: apizon

value:
Hello HN, I just released this guitar theory and ear training mobile app which I've been working on for a bit more than a year on the side.
The idea was to make something for the eternally "intermediate" guitarist (myself included). There are a lot of beginner apps which rely on learning songs, toolkits which give you a bunch of stuff with no explanation but not many in-between apps to actually learn and practice more generic and somewhat advanced stuff.
The app contains short lessons, recaps and most importantly challenges (visual, audio and pure theory) along with a very complete library.
The challenges are made for practicing, they will get increasingly harder and getting to the max score is supposed to be quite hard. The idea being that you have to repeat them regularly until your brain has integrated the info and it flows naturally rather than being a one time quick dopamine shot.
It has no ads, a lifetime purchase option and you can use it without an account if you don't care about multi-device sync or backing up your progress.
Android: https://play.google.com/store/apps/details?id=com.apizon.cad...
iOS: https://apps.apple.com/us/app/cadence-guitar-theory/id674701...

value: Show HN: Cadence – A Guitar Theory App

author: apizon

title: Show HN: Cadence – A Guitar Theory App


value:
I want to present a methodology I have been working on called SRAW Simple Raw. This is not a conventional compression algorithm but a preprocessing approach aimed at optimizing data before it is formatted or encoded. The key insight is that most data formats carry significant overhead in metadata headers and inefficient encoding that can be eliminated with minimal processing.
With SRAW repetitive patterns can be encoded extremely efficiently for example 1000 identical values can be represented in just a few bytes. CPU overhead is minimal making it suitable for microcontrollers and memory constrained devices. Output sizes are predictable which is critical for embedded environments. The approach can be used alongside traditional compression rather than as a replacement.
Implementation relies on smart bit packing and pattern recognition tailored to specific data types. In practice this has produced significant improvements with sensor streams telemetry and binary protocols where traditional compression either underperforms or requires excessive resources.
The underlying principle is straightforward but often overlooked optimizing data at the source can be more effective than compressing it afterwards. Removing redundancy early typically yields better efficiency than applying compression only after formatting.
I am sharing this to engage with engineers working in embedded systems IoT or other fields where data efficiency is critical. Feedback alternative approaches or similar experiences would be highly appreciated.
GitHub:
https://github.com/DenisDolya/sraw
Documentation:
https://denisdolya.github.io/sraw/

value: Show HN: SRAW – new compression preformat Data Optimization for Embedded Systems


value: bmf-san

value:
A while ago I shared an early version of ggc, a Git helper I built in Go.
Since then the project has grown quite a bit, and I’d love to share the latest updates (v6.0).
Repo: https://github.com/bmf-san/ggc
Install:
- macOS/Linux: `brew install ggc`
- Go: `go install github.com/bmf-san/ggc/v6@latest`
- Homebrew: `brew install ggc`
- Or grab binaries: https://github.com/bmf-san/ggc/releases
Features:
Dual modes: Traditional CLI commands (ggc add, etc.) and interactive mode (launch with just ggc)
Intuitive command structure: Simplified interface for common Git operations
Incremental search UI: Quickly find and execute commands with real-time filtering
Fast and lightweight: Implemented in Go with minimal dependencies
Shell completions: Included for Bash, Zsh, and Fish
Custom aliases: Chain multiple commands with user-defined aliases
Cross-platform: Works on macOS, Linux, and Windows
Technical details:
Built with Go standard library and minimal external packages
Supports 50+ Git operations (add, commit, branch, pull, etc.)
I'd appreciate any feedback or contributions!

value: Show HN: Ggc – A Git CLI tool written in Go with interactive UI

author: bmf-san


value:
Hi HN,
I built https://mergejpg.me – a client-side image merging tool that combines multiple JPG images directly in your browser without any server uploads.
The Problem: Most image editing tools require uploading your photos to remote servers, which raises privacy concerns for sensitive documents, business presentations, or personal images.
The Solution: Complete client-side processing using modern browser APIs. Your images never leave your device.
Technical Details:
- Built with Next.js 15 and TypeScript
- Uses HTML5 Canvas API for image manipulation
- Progressive loading for handling 50+ images without performance issues
- Supports multiple output formats (JPG, PNG, PDF)
- Cross-platform compatibility with intelligent memory management
Key Features:
- Zero server uploads – everything happens locally
- No registration required
- Unlimited image processing
- Professional-quality output with original resolution preservation
- Customizable layouts (horizontal/vertical with spacing controls)
Use Cases I've Seen:
- Tax consultants merging document scans into PDFs
- Real estate photographers creating property showcases
- Students compiling research screenshots
- Social media managers creating before/after comparisons
Why I Built This:
After seeing too many "free" tools that harvest user data or require accounts for basic functionality, I wanted to prove that privacy-respecting software doesn't have to compromise on features or performance.
The entire processing pipeline runs in your browser – no backend image processing, no cloud storage, no analytics tracking. Just pure client-side functionality.
Try it out and let me know what you think! Happy to answer any technical questions about the implementation.

value: Show HN: Merge JPG – Privacy-first and fast image merging tool


value: zhuofengli

value: Hello HN - I found it hard to learn and use all these different AI tools in order to make a decent AI video, so I created AvoSmash to put these image/video/audio AIs into one studio and automate as much as possible, so that people like me can create video like a pro. Take a try with the free credits and let me know what you think!

value: Show HN: AvoSmash – AI video storytelling made easy

author: zhuofengli


value: fjulian

value:
Hi HN — I built Veila, a privacy‑first AI chat service. I wanted something that prevents model providers from profiling users and linking information from chats to their identity.
I'm a robotics engineer by training, this is my first public launch of a web app.
Try it: https://app.veila.ai (free tier, no email required)

  - What it is:
    - Anonymous AI chat via a privacy proxy (provider sees our server, not your IP or account info)
    - End‑to‑end encrypted history, keys derived from password and never leave your device
    - Pay‑as‑you‑go; switch models mid‑chat (OpenAI now; Claude, Gemini and others planned)
    - Practical UX: sort chats into folders, Markdown, copyable code blocks, mobile‑friendly

  - Notes/limits:
    - Not self‑hosted: prompts go to third‑party APIs
    - If you include identifying info, upstream sees it
    - Prompts take a bit long sometimes, because reasoning is set to "medium" for now. Plan to make this adjustable in the future.

  - Looking for feedback:
    - What do you need to trust this? Open source? Independent audit?
    - Gaps in the threat model I'm missing
    - Which UI features and AI models you'd want next
    - Any UX rough edges (esp. mobile)

Learn more:
Compare Veila to ChatGPT, Claude, Gemini, etc. (best viewed on desktop): https://veila.ai/docs/compare.html
Homepage: https://veila.ai
Discord: https://discord.gg/RcrbZ25ytb
More background: https://veila.ai/about.html
Happy to answer your questions here.

value: Show HN: Veila – AI chat through privacy proxy with end-to-end encrypted history

author: fjulian


value:
Hi! I've been learning Elixir for a while and wanted to build something more challenging than the usual tutorial projects. Tang, the network-bound disk encryption (NBDE) server used with Clevis, caught my eye because the protocol is small, well-defined, and practical — but I couldn't find an implementation in Elixir. So I decided to write one.
It sticks closely to the Tang protocol, but I replaced the file‑based key storage with a SQLite‑backed design to make key rotation and cleanup safer. For the ECDH key exchange, I opted to call the same jose CLI Tang uses.
The repo includes a development log describing the design decisions, trade‑offs, and a few lessons learned from trying (and failing) to get an LLM to write code.
I believe this compatible implementation could also be useful as a reference for implementations in other programming languages.
FYI, I'm not a native English speaker, so please forgive any awkward phrasing.

value: Show HN: Latchor – Tang-compatible NBDE server written in Elixir


value: Stellaalpina

value:
I built Pixweave to make “print-ready” upscaling simple for artists, illustrators, and POD sellers.
What it does: clean 2×/4× upscales and one-click CMYK exports in common print sizes (Postcards, A4, A3) — all in the browser.
Why: going from a nice web image to something you can actually print (right size, right color space) is still too fiddly for many non-technical creators.
What’s different: the tool is focused on print workflow, not just pixels — choose size, get CMYK, download. The free tier works without sign-in; paid plans unlock larger limits.
Would love feedback from the HN crowd on: missing sizes you rely on, CMYK expectations, edge cases (thin line art, gradients), and overall UX.

value: Show HN: Pixweave – 2×/4× upscaler with CMYK print sizes (Postcards/A4/A3)

author: Stellaalpina


value: jombib

value: Show HN: My Second Game Jam

title: Show HN: My Second Game Jam


value: rektlessness

value:
Discover the secret code to understanding your child's world with https://TeenSlangGuide.com
Ever found yourself scratching your head over your kid's cryptic conversations? Phrases like "I’m amped about my drip today" or "He’s got rizz and he’s gyatt" might sound like gibberish, but they're actually packed with meaning!
Imagine being able to unlock the mysteries of teen speak and urban lingo.
With https://TeenSlangGuide.com, you can bridge the generation gap and stay in the loop with your teens. Whether it's deciphering emojis or understanding slang, this guide is your key to a more connected family life.
Don't let confusing lingo keep you from your child. Empower yourself with https://TeenSlangGuide.com and turn "No cap, this song slaps" into a moment of shared laughter and understanding.
Join the movement and become the cool parent who "gets it"!
https://TeenSlangGuide.com

value: Show HN: Guide to understanding your teen's lingo

author: rektlessness


value: mketab

value:
I’ve seen too many friends on H1B build their lives in the U.S. only to face heartbreaking uncertainty with the recent changes.
I put together a list of H1B alternatives in the U.S. & abroad, hoping it helps someone find a place they deserve to call home.

value: Show HN: For H1B changes Impacted Friends

author: mketab


value: A tiny ~2kb library for building reactive interfaces in native JavaScript

value: Show HN: Arrow JavaScript, Reactivity Without the Framework


value: carsmith

value:
Hi HN,
I built a SaaS for employees at tech companies that run referral bonus programs.
The problem
In many companies, the public job description is incomplete. There are always “hidden” requirements that aren’t written down (e.g. frontend: must be strong with SvelteKit; ML: must know ONNX Runtime).
Today, if you’re an employee trying to refer someone, the workflow is painful:
Open the resume, read through it.
If it looks somewhat promising, copy their email.
Write a custom message asking about those unwritten requirements.
Wait hours or days for a reply.
Finally decide if you’ll forward the candidate to HR.
This is repetitive and slow.
Why I built it
A few months ago, my department suddenly needed to hire 50 people in just six months. To encourage referrals, they offered a bonus after each hire stayed for three months.
Motivated by the chance to earn as many bonuses as possible, I started hustling: posting on every social media channel I had access to, reaching out to dozens of candidates daily. But soon the nightmare began—I had to spend 2 hours every workday sending the same set of repetitive questions to 50–100 candidates (e.g. details about their past tech stack).
You might ask: why not just update the official job description? Well, that wasn’t an option. The company’s HR team controlled a set of standardized templates used across the whole organization. Each business unit had its own specific needs, but HR, for system and compliance reasons, didn’t allow us to change the public job postings. So we were stuck.
After months of this grind, I snapped. I decided to build a web tool to automate the process. The idea was simple: combine AI, batch task tracking, and Gmail API into a workflow that takes the drudgery out of referrals. That prototype eventually evolved into the product I’m sharing today.
The solution
With my tool, you first create a role and enter both the official job requirements and your company’s unspoken requirements. Then you can upload a batch of resumes:
Candidates who clearly don’t meet the basics are filtered out automatically.
For the rest, the system generates a short, personalized form covering those hidden requirements.
Candidates receive the form via your Gmail/Google Workspace Mail, and you can track their progress in one place.
At the end, you get a ranked shortlist that’s ready to send to HR.
Why try it
Automates the tedious Q&A loop.
Makes referrals faster and more accurate.
Helps you maximize your chances of earning the referral bonus.
Product link: https://talentlumia.com
I’d love feedback, especially from people who have actually done referrals at their company. Does this workflow save you time?
Thanks!

value: Show HN: Automating hidden-requirement checks for employee referral programs

author: carsmith


value: Show HN: Leafie – An AI-powered plant care and identification app


value: kstrauser

value: Show HN: Little Fluffy Clouds: Combine a bunch of small adjacent networks

author: kstrauser


value: Show HN: A 2D platformer (multiplayer) I built with my own C++/SFML-SDL2 engine


value: UltraZartrex

value:
Hi HN, I'm an independent security researcher and wanted to share a new vulnerability I've discovered.
My account is too new to submit the direct link, so I'm making a text post instead.
The technique is called "Thought Forgery" (CoT Injection). It works by forging the AI's internal monologue, which acts as a universal amplifier for other jailbreaks. I've confirmed it works on the latest models from Google, Anthropic, OpenAI, etc.
I'd be happy to share the link to the full technical write-up on GitHub in the comments if anyone is interested.

value: Show HN: Thought Forgery, a new technique for jailbreaking LLMs

author: UltraZartrex


value: puzzle-games

value: A web application that calculates antipodal points (exact opposite locations) on Earth using geographic coordinates. Features include a 3D rotating Earth visualization built with Three.js, interactive Leaflet maps, real-time coordinate conversion, and support for both city names and precise lat/lng input. The tool shows distance calculations, nearby landmarks, and supports multiple languages. Built with Next.js, TypeScript, and modern web technologies.

value: Show HN: Antipode Calculator with 3D Earth and Real-Time Mapping

author: puzzle-games


value:
I built a local AI chat interface that I'm planning to enhance with capabilities like web search and file processing.
Demo: https://youtu.be/g14zgT6INoA
This was my first real project (mostly vibe coded while learning), but it's functional and I'm excited about the roadmap. The goal is to create a more capable local AI experience that goes beyond basic chat.
Current: Clean local AI interface, complete privacy, self-hosted
Planned: Internet search integration, file upload/processing, custom tools
Built with Node.js. Completely open source.
Looking for feedback and feature suggestions from the community!
GitHub: https://github.com/mylocalaichat/mylocalai

value: Show HN: MyLocalAI – Enhanced local AI chat interface


value: unhappychoice

value:
I’ve been building GitType, a CLI typing game that generates problems directly from GitHub repositories.
Instead of practicing on random text or predefined exercises, you type through real-world code.
The latest release (v0.7.0) includes:
- Problem generation improved: several times more challenges from the same repository
- Faster startup with caching
- `gittype repo` play to instantly replay repositories you’ve already tried
- In-game help screen with scoring and ranking information
- Various bug fixes and UI improvements
You can find the project here: https://github.com/unhappychoice/gittype
How high can you score? Can you break 10000 points?

value: Show HN: GitType – A typing game that turns GitHub repos into challenges

author: unhappychoice


value: jfess

value: Show HN: Personalized Triathlon Pace Calculator with 150 Events

author: jfess


value: Hey HN, I built this because I was tired of staring at a blank page every time I needed a drip campaign. With Lumora, you just drop in your landing page link, and it instantly generates a ready-to-send 14-day email sequence.<p>It’s aimed at founders, marketers, and freelancers who want to launch faster without spending days writing copy. I’d love your feedback what would make this more useful for you?

value: Show HN: Turn any landing page into a 14-day email drip sequence


value: Show HN: Hamsterbase Tasks – Open-Source, Cross-Platform, Self-Hostable Task App


value: customragbot

value:
Just dropped an SDK for devs.
First version we've launched, its free with unlimited queries if you're using HubSpot or Database connections, and has a free tier for embedding too.
Would love to get some feedback, please give me starts if its useful to you.
pip install yardee
https://github.com/findmyoptions/yardee-python-sdk
http://customragbot.com/customragbot-api/
Thanks for looking.

value: Show HN: Dropping SDK for Free Hybrid Search RAG Database

author: customragbot


value: MKuykendall

value: Show HN: Rustchain – Rust toolchain AI agent framework universal transpilation

author: MKuykendall


value: leandrobon

value:
I built WAFlow to prototype WhatsApp-style chatbots locally with plain webhooks.
Repo: https://github.com/leandrobon/WaFlow
Docker up → chat in browser → simulator posts a webhook to your bot → bot replies via API → export/import transcripts.
Stack: .NET 8 + Blazor.
MVP: Polling UI, single user, text-only. Would love feedback on what’s missing for your workflow.

value: Show HN: WaFlow – Local sandbox to prototype WhatsApp-style bots

author: leandrobon


value: rishran

value: DeepMind recently introduced DataRater, a meta-learning approach that rates the value of training data points using meta-gradients. It promises more efficient training by filtering/re-weighting low-value data instead of relying on heuristics.<p>Sharing an implementation of the DataRater where I tried to reproduce the results on MNIST!

value: Show HN: An Implementation of DataRater: Meta-Learned Dataset Curation

author: rishran


value: ChadNauseam

value:
I don't know who all here is interested in language learning, but I thought I'd share something I've been working on. I was frustrated by the inefficiency of Duolingo, and while the rational choice might have been to try some other apps, I decided to just make my own. You can use it here: https://yap.town/ - btw it's totally free and I don't intend on changing that.
It's based on pedagogy principles like spaced repetition and the testing effect. I genuinely think it's probably the most efficient language learning app out there, though it's less polished since I only work on it in my spare time. (And because I haven't tried every language learning app out there, I can't really conclusively make that determination, but I still think it's the best for reasons I'll get into.)
By the way, the frontend is mostly Rust compiled to WASM, which enabled performance optimizations that would've been tough in JavaScript. One other thing: the app is local-first and has cross-device sync based on CRDTs, which I figure should be a hit here. Honestly, that was pretty much as much work as the entire rest of the app combined. The source code is here: https://github.com/anchpop/yap
----
Building this taught me a lot about spaced repetition. The core idea with Yap is that it tests you with sentences that contain words you need to practice. But this gets tricky because words have multiple uses. If you mistranslate a word used one way, practicing it in a different context isn't helpful.
My solution uses NLP (using spaCy) to annotate words with their parts of speech and lemmas, which distinguishes different uses and conjugations of the same word. I also maintain a database of "multi-word terms", because many phrases (such as "a lot") need to be learned as units.
For spaced repetition, the scheduler is FSRS, which is state of the art.
For users with prior language exposure, I automatically adjust difficulty by analyzing word frequency against what they seem to find easy, helping me show them the most common words they don't yet know.
Using the app feels odd at first - after learning just a few words, you can already form sentences like "Why did you do this to me?" These sound complex but use only common words. Unlike Duolingo teaching you "apple" early on, learning the most frequent words first lets you grasp sentence structure immediately, then figure out remaining words from context.
No app is a complete language learning system, this included, but I hope it's a useful supplement to whatever else you're doing to learn a language. One useful supplement to my app is the Pimsleur method, which I have been using as well and having a lot of success with.
----
on Apple platforms, the app requires the latest version of Safari because I use some APIs that were only recently implemented on Apple platforms. Desktop users are always fine with Chrome of course, regardless of platform. I've considered fixing this, but it would kind of be a pain, and because I'm primarily making the app for myself I haven't put too much effort into things that would not benefit me.

value: Show HN: I made a spaced-repetition-based language learning app

author: ChadNauseam


value: coryli

value: Show HN: StripeMeter v0.4.0 – Open-Source Usage Metering for Stripe

author: coryli


value: BBEK

value:
Hi HN,
Theoria is my answer to doomscrolling. Instead of mindlessly scrolling, I wanted an engaging way to keep up with new preprints without the hassle of copy-pasting papers into an AI. It's for anyone who wants to stay current in their field or just explore new scientific ideas. I like how Theoria turned to out to be a consumer product and use it constantly myself and I'm curious if other people like it aswell.
Here’s what it does:
Personalized Feed: Create your own daily preprint feed from topics you love (any STEM topic atm), like Artificial Intelligence, Cosmology, or Genomics, or simply browse all fields.
Personalized Podcasts: Turn your favorite articles into a short, natural-sounding podcast episode where two hosts discuss the papers.
Instant Analysis: Grasp key points in seconds with AI tools that show a paper's "Deep Insights," "Technology Readiness Level," potential "Real-World Impact," and an "AI Peer Review."
Chat with Albert: Ask our AI assistant, "Professor Albert," to explain complex topics from any paper in simple terms.
It's built on a TypeScript/React/Node.js stack.
You can try it out here for free: https://theoria-ai.com/
I'd love to get your feedback!

value: Show HN: Explore & understand research papers with Theoria, an AI-powered app

author: BBEK


value: tonyabracadabra

value:
We’re launching a platform that lets you turn any scenario—your basement, your city, your office—into an interactive POV horror video, powered by a state-of-the-art real-time video generation model (think LTXV, Sora, or whatever the AI gods just dropped on arXiv). You type a prompt, upload a photo, and seconds later you’re watching (and shaping) your own nightmare unfold.
It’s not just a video generator. It’s an experience: dynamic, interactive, and game-like. Tweak the fear level, swap images, change the story on the fly. Export to TikTok, share, remix, collaborate. All runs are saved for further play.
Launching October 2025. Waitlist: https://scarystories.live
Ask me anything about the stack, the SOTA model, or how close we got to making AI horror actually scary.

value: Show HN: ScaryStories.Live – Real-Time AI Horror Video Generator

author: tonyabracadabra


value: botirk

value:
Adaptive is a drop-in replacement for Claude Code that cuts AI costs by 60-80% with zero code changes. Just swap the API endpoint and you're done.
How it works: We extract features from prompts (complexity, tool usage, context length) and route them using a DeBERTa classifier trained on model evaluations. Simple tasks → cheaper models, complex reasoning → premium models. The routing adds ~2ms latency but saves orders of magnitude in API costs.
Same Claude Code experience, same quality, much cheaper.

value: Show HN: Model Routing for Claude Code – same experience, just cheaper

author: botirk


value: codebude

value:
I built a small side project called takeCode, a web-based viewer for massCode snippet databases.
massCode is a great snippet manager, but it only runs as a desktop application. I often wanted to quickly browse my snippets remotely (e.g. when working on another machine), so I wrote a simple web viewer:
Read-only access to existing massCode snippet database files (no risk of corrupting them)
Self-hostable, intended to be run via Docker (docker-compose.yml
 included)
Provides a lightweight web UI to navigate your snippets
Demo available here: https://demo.take-code.dev/
This started as a private project for myself, but I thought it might be useful to others, so I’m sharing it now. It’s still early and not highly polished, but functional.
Feedback and ideas are very welcome!

value: Show HN: TakeCode – Self-hosted web viewer for massCode snippets

author: codebude


value: dibrale

value: The output was... Aesthetic? Really, this was just for fun. No objective benchmarks or anything.

value: Show HN: I simulated the human Default Mode Network using Regions

author: dibrale


value: Show HN: Cursor for Calorie Counting – Raspberry