value: kmelve

value:
Hey HN! We forked styled-components after it entered maintenance mode because
our production apps (and many others) can't migrate overnight.
Backstory: We submitted PR #4332 (https://github.com/styled-components/styled-components/pull/...) to styled-components in July 2024 with React 18
optimizations. When maintenance mode was announced, we turned that PR into this fork.
What we fixed:
- Added React 18's useInsertionEffect
- Rewrote streaming SSR for React 19
- Replaced ES5 output with modern JS
- Optimized array operations with native flatMap
- Fixed Next.js App Router to work without 50+ lines of boilerplate
Linear tested it and saw 40% faster initial renders with zero code changes.
How to try it:
  npm install @sanity/styled-components@npm:styled-components
Or for React 19:
  npm install @sanity/css-in-js@npm:styled-components
Benchmark tool to test yourself: https://css-in-js-benchmarks.sanity.dev/
We named it "last-resort" because that's what it is. We're not trying to maintain
styled-components long-term - we're actually migrating to vanilla-extract ourselves.
This is just a performance bridge while teams migrate properly.
The React team recommends moving away from runtime CSS injection. We agree. But
migrations take time, and production apps need to ship today.

value: Show HN: Forked styled-components with optimizations (40% faster for Linear)

author: kmelve


value: smoqadam

value: Show HN: Willow – a configurable file watcher and rule‑based file manager

author: smoqadam


value: ruben-davia

value:
I’ve been working on something called Davia — a platform for creating interactive documents.
These are “living documents”: each page is self-contained, combining editable content, interactive components, and data. You can read them, edit them, and actually interact with them — more like mini-apps than static docs.
Here’s what makes it interesting:
The interactive components are pieces of code generated on the fly, so you’re not limited to a fixed set of blocks like in Notion. You can create infinitely flexible functionality right inside a doc.
Technically, an interactive page is an ensemble of components (MDX file), data (JSON file), and a main HTML file — all bundled and compiled on the fly. This gives each document its own portable architecture.
Once built, you can publish your doc either as a live site (with a custom URL and persistent interactions) or as an open-source template that others can import, remix, and build upon.
We’re building an open-source community around this. If people import your templates, you’ll be credited (and in beta, you can even earn from them).
It’s free to use while we’re in beta, and I’d love to build it with you.
If you enjoy tinkering with small tools, pushing the limits of interactive docs, or want to explore new ways of sharing knowledge, this could be fun.
Feedback, ideas, and contributions are more than welcome — join us in r/davia_ai!

value: Show HN: I Built Davia–A New Way to Create Interactive Documents with Code

author: ruben-davia


value: thundroid

value:
Hey Hacker News readers,
We're the team from Aetherrax Technologies, and we'd like to share something we've been building: ThunDroid AI.
The goal was to create a genuinely helpful tool for emotional wellness without making the usual privacy compromises. We noticed that many apps in this space have vague data policies, and we wanted to build an alternative where the user is in complete control.
ThunDroid AI is an emotional support companion that runs on your iPhone. It's a private space to talk through your thoughts with an AI, use guided journaling prompts, or go through breathing exercises.
Here’s how we’re approaching this, keeping a tech-savvy audience in mind:
Privacy-First by Design: This is our core principle. All conversations are end-to-end encrypted, and all of your data is stored exclusively on your device. We have no access to it. We don't use your conversations for training data. What you say in the app, stays in the app.
No Cloud, No Servers for Your Data: Your journal entries and chat logs are not uploaded to our servers. It's a local-first experience.
Core Features: The app offers unlimited AI conversations, smart journaling with prompts for different wellness areas, and a set of evidence-based breathing techniques.
We just launched on the App Store and are looking for honest feedback, especially from this community. We're open to all thoughts on the app's utility, our approach to privacy, and any features you think might be missing.
Our aim is to build a tool that people can trust and find genuinely useful. Thanks for taking a look.

value: Show HN: ThunDroid AI – A private AI companion for emotional wellness

author: thundroid


value: xtrkil

value:
I’ve been hacking on a fun side project: Story to Manga
The idea is simple:
Paste a short story.
Choose a style (manga or comic).
Get back panels with consistent characters, settings, and mood.
It analyzes your text, builds character references, storyboards the panels (dialogue, camera angle, mood), and then generates full manga pages. The hard part—and what makes it actually usable—is keeping characters consistent across panels.
We’ve used it to turn micro-stories, hackathon recaps, and silly inside jokes into legit manga chapters. It’s still early, but fun enough that we thought HN might enjoy playing with it.
Star our github here: https://github.com/victorhuangwq/story-to-manga

value: Show HN: Story to Manga – Paste a story, get a manga

author: xtrkil


value: hogypitersan

value:
I have a short term memory and i have no passion to writing but i want to learn to write something, so i need my note as my second brain, but i need not only note app, i want to freely to write something from my mind, and set some to-do list, so i decide to create one web application that fit to my requirement.
And here is my final product that you can try and maybe give me some feedback.
This is a free application.
Access https://paperly.id for detail

value: Show HN: Journal – A minimalist journaling app with emotion tracking

author: hogypitersan


value: SonOfLilit

value:
I ran this yesterday at PyCon IL.
It has some very nice exercises that you can try at home, especially the LLM evals exercise.
Posting it as a Show mostly because I'm proud of the Excalidraw aesthetics which many of you might appreciate.
If there's interest I can run it in English online. Shoot me an email if you're interested.

value: Show HN: Testing Masterclass

author: SonOfLilit

title: Show HN: Testing Masterclass


value: sivann

value:
Hey HN, for those of you tired of running kafka-consumer-groups.sh and similar tools, here's a small real-time monitoring CLI tool for Apache Kafka, that displays consumer lag and event rates in a clean, top-like interface. You can quickly assess which consumers are lagging and when they will catch up.
I've made this to quickly assess the health of remote on-premises clusters which most of the time lack proper monitoring.
The tool can be found here: https://github.com/sivann/kafkatop
I'd be very interested to hear your feedback or any features you think would add value to this tool!

value: Show HN: Kafkatop, top-like CLI for Kafka

author: sivann


value: florianwueest

value: Show HN: The world's first bilingual job board

author: florianwueest


value: Gigacore

value: Show HN: PreSub – A tool to help researchers prepare anonymous submissions

author: Gigacore


value: sbworker

value: ScamBare empowers people to recognize, resist, and report scams and fraudulent activities. With our free detection tools, you can check suspicious text messages, learn about scams, and improve your detective skills.

value: Show HN: ScamBare Text Checker

author: sbworker

title: Show HN: ScamBare Text Checker


value: misirio

value:
I build a small Spring Boot library that makes Postgres-backed integration tests both fast and fully isolated.
How it works:
At test-suite start-up it creates a single PostgreSQL template database.
For every JUnit test it runs CREATE DATABASE … TEMPLATE … to clone that template - about 50 ms per sandbox.
It plugs right into Spring Boot, Testcontainers, Flyway, and Liquibase.
If you use text fixtures you can mess with it freely, and never worry about affecting other tests.
I introduced this approach after hitting serious test-isolation problems on a large enterprise project. The approach worked greatly and the integration tests grow to past 4 000 tests without any slowdown or cleanup scripts.
I added an example project setup including test fixtures here: https://github.com/misirio/dbsandboxer/tree/main/examples/sp...
I would love to hear your feedback and how you solve this problem in your projects.

value: Show HN: Fast Isolated Postgres DB for Spring Boot Integration Tests

author: misirio


value: castano-ludicon

value:
With the latest three.js update (r180) the use of the Spark GPU codecs is now straightforward and integration into existing gltf loaders requires just one line of code.
This blog post outlining the few steps involved, goes over some of the surprises I encountered, and takes a close look at performance.
The spark.js GitHub repository now includes three.js examples that are trivial to run, just:
```
npm install
npm run dev
```

value: Show HN: Real-time texture compression in Three.js

author: castano-ludicon


value: matrixripper

value: looking for some feedbacks and areas for improvements

value: Show HN: An AI app to help you generate stock research report and save you hours

author: matrixripper


value:
Now that AI is capable of writing large volumes of production-quality code, our role as developers is changing. Our primary job is no longer writing code. It’s planning and communicating software design and architecture. We have to do this collaboratively with agents and then review and iterate on their implementations.
IDEs were not built for this workflow. So about three months ago I decided to try to build what I thought this new interface should look like.
Runner is a coding agent purpose-built for this new “plan and review” workflow. It’s not for vibe coding. It’s for professional software developers who are responsible for the code they ship.
It encourages and supports a more structured and controlled workflow than other coding agents. It’s built around the concept of tasks. A task is a small, clearly scoped change. The planning agent creates and edits task specs, and then you can assign them to coding agents once you’re happy with the plan. When the coding agent finishes, you can review the changes via the built-in diff viewer. If you’re happy with them you can approve the changes, which will trigger a git commit.
Runner is available as a free BYOK beta for MacOS right now. You can learn more and download it here: https://runnercode.com/. You will need at least a Gemini API key, and for best performance also an OpenAI API key.

value: Show HN: Runner – the anti-vibe coding agent


value:
Hey HN,
My name is Max. After a sabbatical from the corporate world, I turned a passion project into a full web app: Unheard.FM.
What is it?
Unheard.FM is a music discovery web app for Spotify that selects tracks based on your direct preferences instead of listening habits, and provides fresh results by excluding your "known" tracks. (No paid sponsors here.)
Why did I build this? A few reasons...
1. I was getting tired of getting too similar or repeat
recommendations from Spotify and thus wasn't getting out of my music "comfort zone"
enough.
2. I was looking for ways to source more tracks of specific types of music and
didn't just want "popular" music.
3. I listen to a lot of music and didn't want to wait for new curated
playlists to drop.
How is it different from other music discovery apps?
* Your discovery model is completely transparent and controllable by you
* Not based on Spotify's recommendation API or sponsorships. The engine simply:

  - Selects random sets of tracks by provided seeds (years, genres, desired popularity distribution)
  - Filters by provided excludes (artists, genres, track attributes, etc)

* Results are always fresh since your liked, playlist, top, and recently played tracks are filtered automatically
* Local-first: Known tracks are cached on your device; no listening history is stored server-side.
Backstory
This started as a Python CLI. I was in a competition with my (now) wife to create an ultimate playlist for a random year (I had 1962). I had issues using the Spotify client to get enough year-based
content, so I wrote a CLI to fetch a random set of tracks for a year (Spotify API). Random year-based discovery turned out to be surprisingly fun (and often hilarious), so I kept adding features...Then I wanted to use it from anywhere, so I built a quick static react web app (literally a single page form) and hosted
it via a S3 bucket... many years later it grew into Unheard.FM.
The Stack
React frontend + serverless backend (AWS + FastAPI). Most discovery logic runs client-side; the backend mainly mediates Spotify auth and serves lightweight discovery APIs.
What's Next?
This project still has a long way to go!... but a few things on my roadmap include:
* Regional Filtering (by far the biggest user ask thus far, but also the most difficult to execute on)
* More UX improvements (additional filters, better nav, optimized desktop view)
* Multiple "discovery models" / sharing
* Support of other music platforms (Apple Music, YouTube)
* Exploring a potential paid tier to help fund development and cover costs, which might include: Multi config, advanced filters, bigger playlists / feeds.
Hope y'all have some fun with it. Any and all feedback is much appreciated!

value: Show HN: Unheard.fm – No-repeat, user-controlled music discovery for Spotify


value:
The only reason this exists is because AI coding turns intrusive thoughts into product launches overnight.
In reality, this was a good toy project to test out Cloudflare's platform. I've traditionally used AWS / Netlify / and a few others. Cloudflare was pretty easy to set up and they offer at-cost .ai domains. $140 for 2 years... painful for Nanna, but hey, boosts that valuation multiple by at least 2x.
I'll probably use this as a project to experiment with some other things, like some of the new payments / billing startups being built for AI-specific use cases.

value: Show HN: Nannabanana.ai – Nanna-approved image generator


value: gpopmescu

value:
Hi HN,
When learning Blender I found I often end up spending too much time asking questions to ChatGPT and still having trouble locate where to click.
So... I created blender tutor that is like an LLM but can also find where to click to accomplish a given step when you try to for example enable auto save.
Ideal for beginners to finding out where to click and avoid searching through documentation and youtube tutorials!
For now it`s only a chat, but I plan to develop a next version where it will see what window/state you are currently in and help you better this way by showing you exactly where to click.
It will also be available for more softs like Photoshop etc.
Let me know if you think it will be useful :)
Thank you for your time! Happy to answer questions here.

value: Show HN: I created a blender tutor that answers with visual cues

author: gpopmescu


value: computerex

value: We use AI to filter content so you see only the most valuable AI content 247.

value: Show HN: Ainews247.org – the best, most valuable, fun, AI content, aggregated

author: computerex


value: jrnkntl

value:
The idea for this came from a comment on HN I read 6 months ago, where someone said: "I wish I could send a one-time link to my father where we could play chess against each other by re-visiting the same link" [1].
Of course lichess.org was mentioned, but it got me excited to build something simple with not too much scope creep. So that's what I tried to build: simple, without signup and supporting slow (make a move every week) or fast (sse based) games.
Built with PocketBase[2] (customized to f.e. support web push), chess.js[3] and Claude it rekindled my interest in chess and I started playing it offline again and shared some game invites with friends.
Hope some of you like it -> https://chessinvite.com
[1] https://news.ycombinator.com/item?id=43267296
[2] https://pocketbase.io
[3] https://github.com/jhlywa/chess.js

value: Show HN: Chess Invite, start a game of chess, share the link

author: jrnkntl


value: Papanix

value:
TL;DR: We built Kanbanq, a minimal task management app for indies and small teams. It keeps Trello’s simplicity but adds proper backlogs, sprints, real-time collaboration and public board sharing. Free while in alpha, feedback welcome
---
I’ve been working on Kanbanq with a friend. It’s a minimal task management app we built after getting frustrated with Trello. It was great for simple boards, but it falls apart when you need backlogs (that are more than just a giant list) or want to work in sprints.
Kanbanq keeps the same clean feel but adds backlog management (our unique feature), sprints, real-time collaboration and public board sharing. We’ve also put effort into making it pretty as well as functional, with room to add your own personality.
Because work does not have to be boring, we’ve hidden plenty of easter eggs from Star Trek, Star Wars, Back to the Future and more throughout the app, with a touch of kawaii here and there.
It’s aimed at indies and small teams who want structure without the overhead of Jira or Linear. Perfect for those who self-manage and want more time to code, design and create instead.
It’s still in alpha, free to use, and we’d really value feedback from this community.

value: Show HN: Built a Trello alt as it doesnt do backlogs or sprints. #4 on PH

author: Papanix


value: Croffasia

value:
The Problem We're Solving
Setting up a production-ready Vue.js project takes days. You need to configure TypeScript, set up build tools, choose the right state management, configure linting, add UI components, set up testing—and then teach your AI coding assistant how to work with your specific stack and patterns.
By the time you're done with setup, you've lost momentum on your actual idea.
The pattern is predictable:
Day 1-2: Research and configure build tools, TypeScript, linting
Day 3-4: Set up state management, routing, UI components
Day 5-6: Configure development workflow, AI coding instructions
Day 7+: Finally start building your actual application
Most developers either skip best practices to move fast, or spend weeks on setup instead of building.
Our Solution: Production-Ready Starter + AI Instructions
Vibe Code Kit eliminates the setup phase entirely. You get a battle-tested Vue.js stack that's been refined through dozens of production applications, plus AI development instructions that teach Claude Code how to work effectively with your specific setup.
Technology Stack:
- Vue 3 with Composition API and TypeScript support
- Vite for lightning-fast development and optimized builds
- Pinia for global state management + Pinia Colada for data fetching
- Tailwind CSS + DaisyUI for rapid UI development
- VueUse composables library for common patterns
- ESLint, Prettier, Husky for code quality
Each technology includes AI coding best practices that prevent Claude Code from reinventing patterns.
How It Works
- Blueprint-Driven Development: Enhanced R&D workflow commands guide Claude Code through proper project analysis and feature planning
- Specialized AI Agents: Built-in agents for standards checking, code validation, and codebase research
- Stack-Specific Instructions: AI learns the proper patterns for each library in your stack
- Production Configuration: Everything pre-configured for deployment from day one
- The result: Turn your ideas into production Vue.js apps in minutes, not days.
Real Impact
Since using this approach:
- New Vue.js projects start with feature development, not configuration
- Claude Code consistently follows Vue 3 Composition API best practices
- AI agents catch architectural issues before they become problems
- Production deployments work from day one
Technical Details
Built on Vue 3 ecosystem best practices. Includes comprehensive Claude Code integration with specialized agents for Vue.js development. Works with existing AI-assisted development workflows and supports rapid prototyping to production scaling.
Currently supporting Vue.js projects with plans for React and other frameworks.
Try It
Early access available at https://vibecodekit.dev
This isn't about replacing Vue CLI or Vite—it's about getting a production-ready foundation with AI that actually understands your stack. Would love feedback from Vue.js developers who've struggled with project setup overhead.
Questions I'm curious about:
- How much time do you spend on initial Vue.js project configuration?
- What's been your experience with AI coding assistants on Vue projects?
- What would convince you to use a pre-configured starter over building from scratch?

value: Show HN: Vibe Code Kit code with confidence

author: Croffasia


value: daneshbadlani

value:
We have built an AI app called Dripwave that helps marketers create stunning, on-brand marketing email campaigns and flows instantly instead of hours for e-commerce brands.
Dripwave integrates with Shopify to pull product and brand information. Once the AI generates the first draft of marketing email, you can edit it through our built-in editor. You can also export the finalized email to Klaviyo/HTML in 1-click.
We will add more integrations soon! Check it out and let me know your thoughts!

value: Show HN: AI Email Marketing Tool for E-Commerce Brands

author: daneshbadlani


value: yangyiming

value: The purpose of masters-tool Practical Tools Website is to provide practical tools for programmers, front-end engineers, server administrators, webmasters and other friends, such as code formatting, code obfuscation, code encryption, encoding conversion, webmaster query, color comparison table, color value conversion and other commonly used tools. More practical and easy-to-use tools are being continuously added. Welcome to visit!

value: Show HN: Masters Tool-Aggregate Practical Toolbox

author: yangyiming


value:
Hello,
I've built the tool to generate vanity Tor Onion Service addresses:

    $ onion-vanity-address allium
    Found allium... in 12s after 558986486 attempts (48529996 attempts/s)
    ---
    hostname: alliumdye3it7ko4cuftoni4rlrupuobvio24ypz55qpzjzpvuetzhyd.onion
    hs_ed25519_public_key: PT0gZWQyNTUxOXYxLXB1YmxpYzogdHlwZTAgPT0AAAAC1ooweCbRP6ncFQs3NRyK40fRwaodrmH572D8py+tCQ==
    hs_ed25519_secret_key: PT0gZWQyNTUxOXYxLXNlY3JldDogdHlwZTAgPT0AAAAQEW4Rhot7oroPaETlAEG3GPAntvJ1agF2c7A2AXmBW3WqAH0oUZ1hySvvZl3hc9dSAIc49h1UuCPZacOWp4vQ

The tool checks ~45'000'000 keys per second on a laptop which is ~2x faster than widely-used mkp224o https://github.com/cathugger/mkp224o
I've explained key performance difference here https://github.com/AlexanderYastrebov/onion-vanity-address?t...
Would love your feedback, thanks!

value: Show HN: Fast Tor Onion Service vanity address generator


value:
I built pbar.io because I was tired of SSH'ing into servers to check if my data processing scripts were still running, or worse, having them finish/crash without knowing.
It's a simple REST API that lets you create and update progress bars from anywhere. The same progress bar can be viewed as terminal output (with ANSI colors), in a browser, or consumed as JSON.
I'm actually tracking this HN discussion with pbar. The progress bar increases with each comment - watch it live as we discuss!
Web: https://pbar.io/Y8yg3BG
Terminal: curl https://pbar.io/api/bars/Y8yg3BG
More features that emerged from my own use cases:
- Hierarchical progress bars (parent bars auto-aggregate children)
- Python package (pip install pbar-io) that wraps tqdm - just swap the import
- QR codes to monitor progress on your phone while away from desk
- No auth required for quick prototypes
Curious what use cases you might have for this!

value: Show HN: Pbar.io – Distributed progress bars that work in terminals and browsers


value: Show HN: Specification-Driven Development for OpenAI Codex


value: DavidCanHelp

value: Show HN: 54321 5 Senses Grounding PWA – Try this if you feel anxious

author: DavidCanHelp


value: cnohall

value:
I built Polaris Audit to help small businesses fix website issues that were costing them customers.
It scans your website for:
- Security problems (HTTPS, SSL, headers)
- GDPR compliance issues (cookies, privacy policy)
- Accessibility problems (alt text, headings, keyboard navigation)
The key difference: Instead of just telling you what's wrong, it gives you copy-paste code to fix it.
Example:
Missing page title
Fix: Add <title>Your Page Title</title> to your <head>
Time: 2 minutes
Tech: Django + React + PostgreSQL. Built because most compliance tools just point out problems without showing how to fix them.
Try it: polarisaudit.com
Currently free with detailed reports. Let me know if you want to try a paid account for free, and I'll help you set it up.
What do you think? Would love feedback on the approach.

value: Show HN: Polaris Audit – Website Compliance Scanner with Fix Instructions

author: cnohall


value: zhuofengli

value: Hello HN - I found it very hard to learn and use all these different AI tools in order to make a decent AI video, so I created AvoSmash to put all the AI tech into one studio 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:
I made a lightweight site that collects 100+ browser games you can play instantly, no login or download required.
Simple interface
Retro + indie games
Free and ad-light
https://fun-game-chi.vercel.app
Would love to hear feedback on performance and which games to feature more prominently.

value: Show HN: Fun-Game-Chi–10000 instant play browser games


value:
Hi HN,
I'm excited to introduce OllaMan, a desktop application designed to streamline your workflow with Ollama local AI models.
If you're already using Ollama, you've likely experienced its power in running large language models (LLMs) locally. However, managing models, switching between them, and engaging in conversations often requires frequent command-line interaction, which can be inefficient and less intuitive for many users.
OllaMan aims to solve these pain points by providing an intuitive and elegant graphical user interface (GUI), especially tailored for macOS users, adhering to macOS design principles for a seamless experience.
Key highlights of OllaMan include:
• Local Model Management: Easily view and manage all your installed Ollama models in one place, including their details, sizes, and versions, without needing complex commands.
• One-Click Model Discovery & Installation: Browse the vast Ollama model library and install new models with a simple click, saying goodbye to the ollama pull hassle.
• Intuitive Chat Interface: Engage in fluid conversations with your local models, supporting real-time streaming responses, and effortlessly save and manage chat histories.
• Multi-Server Management: Configure and monitor multiple Ollama servers, perfect for users who need to test different environments or switch between servers.
• Elegant macOS Design: A modern interface that seamlessly integrates into the macOS ecosystem, providing a premium user experience.
• Productivity Features: Supports batch operations, model filtering, session export, and many more features to further optimize your workflow.
We built OllaMan because we believe running powerful AI models locally should be as simple and enjoyable as using any other desktop application. It's ideal for AI researchers, developers, content creators, and anyone looking to leverage Ollama without being tied to the command line.
OllaMan offers a free version with core model management and chat functionalities. For more advanced features like one-click model installation, multi-server management, and multi-device activation, we offer one-time purchase options.
We encourage you to download and try it out, and please share your thoughts, feedback, and suggestions for future features. What are your biggest pain points when working with local LLMs?
Download OllaMan: https://ollaman.com/

value: Show HN: OllaMan – An Elegant GUI for Ollama AI Model Management and Chat


value: yangyiming

value: At Globe Ask, you can ask questions, share insights, and receive expert answers from users worldwide. Whether it’s life hacks, tech queries, or academic doubts, our community provides accurate information and practical advice. Join us to explore an endless ocean of knowledge!

value: Show HN: Share and Grow the Knowledge

title: Show HN: Share and Grow the Knowledge


value:
Hi HN!!! I am localhost, lol, and I am launching RootManagedServices, a managed service provider focused on small and mid-sized organizations. After years of watching MSP relationships stall over opaque pricing, alert fatigue, and weak security baselines, we’re trying to do it differently: automation-first operations, measurable outcomes, and real transparency.
What’s different about our approach
Automation by default. We standardize device/identity baselines and recurring tasks with policy + scripts, aiming to cut busywork tickets and MTTR. Wherever sensible we use reproducible configs and self-healing checks rather than one-off fixes.
Security as table stakes. Enforced MFA, least privilege, rapid patch SLAs, phishing simulations with coaching, and a documented incident runbook from day one (not “phase 3”).
Observable operations. Clients get a simple monthly scorecard: patch compliance %, mean time to resolution, backup/restore test results, phishing failure rate, and “preventable ticket” trend lines.
Transparency over lock-in. Clear SLOs, shared runbooks/playbooks, and clean data export. If we’re not a fit later, you shouldn’t be stuck.
Simple pricing. Straightforward per-user/per-device plans with published inclusions. No surprise “consulting blocks” for routine care.
Where we are now
Working with early customers and refining our onboarding playbooks (identity, endpoint, backup, email security, and network).
Building on a vendor-agnostic stack; we favor open standards and, where it makes sense, open-source components for monitoring/telemetry and remote support.
Publishing select runbooks so clients (and other MSPs) can see how we work.
What I’d love feedback on from HN
If you run or buy from an MSP: what are your biggest pain points today?
Which metrics would you actually care to see each month?
Any strong opinions on stack choices to avoid or must-haves for a modern MSP?
Would open-sourcing more of our playbooks be genuinely useful, or just noise?
If this resonates (or if you think it’s misguided!), I’d appreciate your comments. I’m especially looking to talk with SMB founders/IT leads, other MSP operators, and security folks who’ve lived the day-to-day.
Thanks!!

value: Show HN: Root Managed Services

title: Show HN: Root Managed Services


value: heshiebee

value:
Whenever I’m working out of a cafe I always wonder if there are other people around me coding
So I vibecoded this in a couple of hours
Just load up the website and lock-in
It’ll automatically share your location for the next hour
Or you can just see others that are locked-in

value: Show HN: Share your location while you code

author: heshiebee


value: Viaya

value:
I’m excited to introduce Infinite Talk AI, a tool that creates realistic, unlimited-length AI talking videos. It transforms your audio into lifelike videos with synchronized lip movements, facial expressions, and body language.
Inspiration Behind It
Frustrated with the short video limits of other AI video tools, I created Infinite Talk AI to solve this problem. I wanted a platform that allows the creation of long, engaging content without any quality loss.
Key Features:
No Length Limits: Perfect for long-form videos like courses or virtual assistants.
High-Quality Output: Lifelike lip-sync, expressions, and body movements.
Easy-to-Use: Upload audio, get videos instantly.
Check it out now at Infinite Talk AI：https://www.infinitetalkai.com/

value: Show HN: Infinite Talk AI – Create Realistic AI Videos with No Time Limit

author: Viaya


value: ajanthanmani

value: Show HN: Popular50 – A fast way to see what's trending on YouTube by country

author: ajanthanmani


value: horushe

value: Show HN: Fastjrsy – Make your team jersey in 5 seconds

author: horushe


value: OzanEnginsal

value:
Hi HN,
I'm a solo dev and for the last few months I've been building Hikaro, a tool to find statistically significant trading signals for [e.g., US equities, crypto, forex].
I built this to solve my own problem: I was tired of backtests that looked great on paper but failed in practice. Simple metrics like "win rate" can be misleading, so I wanted a way to quickly tell if a signal's performance was genuine or just noise.
Hikaro ingests daily market data and runs statistical analysis on various trading signals. The goal is to surface signals with strong properties, like:
Low p-value: Evidence that the performance is not a random fluke.
High Sharpe Ratio: Better risk-adjusted returns.
Healthy 'Core Performance': The average return after removing the single best outlier trade, for a more conservative view.
Other key metrics like Profit Factor and Max Drawdown that you can filter by.
I'm looking for my first users and would love your feedback. I'm offering a 30-day free trial of the Pro plan (which includes Telegram alerts) with no credit card required.
I'll be here all day to answer any questions. I'm especially keen to hear feedback on the concept and the metrics.
Thanks, HN!

value: Show HN: I built a tool to find trading signals that aren't just random luck

author: OzanEnginsal


value:
After two years of development, I'm super excited to release Beat Maker! This is my take on what I hope is the best free, web-based drum machine.
My goal was to build something that was not only fun and easy to use for beginners but also powerful enough for serious producers. I did extensive research on existing drum machines, analyzed their UX, and tried to build something that adds something new.
It's a nearly 100% client-side app, written in ClojureScript, and is a PWA so you can install it to your home screen for an app-like experience.
Besides the standard grid editor, Beat Maker has some unique features that I think HN readers might find interesting:
- Procedural sample generation. One annoying thing about writing beats is searching through folders full of samples. I wanted to improve this and so I added the ability to generate new samples with a single click, giving you an infinite supply of unique drum samples.
* Generative beat creation. If you're looking for inspiration, Beat Maker can generate entire patterns for you as a starting point. You can then edit and tweak the beat to your liking. Great for solving the "blank canvas" problem and giving you something good to start from.
* Advanced export options. This is where it really shines for producers. You can export your work as:
    * A standard WAV loop
    * Individual stems (ZIP)
    * A MIDI file
    * A ZIP file of all your samples as WAVs
    * A SoundFont (.sf2) drum kit from your generated samples
    * An Impulse Tracker (.it) file for use in trackers like Renoise, OpenMPT or a Polyend
* Pocket Operator/Volca sync. It can output a sync signal on the left audio channel to sync with these hardware devices for perfect timing.
* Per-Note FX. You can add effects like volume slides, repeats, and start volume changes to individual notes for more complex drum phrases incorporating flam and roll.
As an old school tracker guy, I'm particularly excited about the Impulse Tracker export mode. I was surprised to discover how many DAWs (including hardware like Polyend) can import this format. Of course, you can also pull up Impulse Tracker on DOSBox, or the more modern re-implementation, Schismtracker for that retro experience.
By the way, the beat generator feature is not trained on any artists or anything like that. It's an algorithm I built from scratch myself.
The audio engine is built on a declarative audio graph (using `virtual-audio-graph`), inspired by React's virtual DOM, which makes managing the Web Audio API much cleaner. If you're building web based audio apps I highly recommend checking out this library.
I'd love for you to try it out and let me know what you think. Feedback (and the inevitable bug reports) most welcome! Thank you!
P.S. Also, here's a video summary: https://youtu.be/qVmEn9z3H24

value: Show HN: I made a generative online drum machine with ClojureScript


value: Einswilli

value:
Hi HN,
I'm building Valkyrie, an open-source (AGPLv3) security scanner that acts as a gatekeeper for your pull requests. It scans code for secrets (API keys, tokens), vulnerable dependencies (SBOM), and risky IAM configs before they get merged.
The key difference? It's built on crowd-sourced rules. The community can create and share detection patterns for any cloud provider (AWS, GCP, Azure), SaaS tool, or obscure framework. The value is in the collective rulebook.
Tech Stack: Strongly-typed Python, async, clean architecture, with native GitHub Actions/GitLab CI integrations. It's designed to be fast, flexible, and built for developers.
Why I'm building this: I was tired of expensive, generic, and slow scanners. I wanted something open, specialized, and that could leverage the knowledge of the community to protect everyone.
The core is open-source, and we'll offer a commercial license for enterprises that need it ($1/user/month).
It's still in active development, but the core scanner engine and plugin system are taking shape. I'd love for you to:
- Star the repo if you like the concept.
- Contribute a rule for your favorite service.
- Tell me what's wrong with the architecture or idea.
Looking forward to your brutal and honest feedback.

value: Show HN: Valkyrie – A community-powered security scanner for your CI/CD

author: Einswilli


value: A web tool to visually compare two Parquet files.

value: Show HN: Parquet Diff

title: Show HN: Parquet Diff


value: vipulag

value:
I have been working on feedbak.dev to help power in-app surveys (using Native components, not webview)
I tried to focus on a problem which i faced using other tools in the past - Placing a widget/ Feedback button somewhere in the App and hoping users would go in and share feedback/complaints. This works ofcourse but it only brought to the fore the negative sentiment and not the overall sentiment.
With Feedbak, i try to capture the overall sentiment with the App via CSAT, NPS and dig deeper with text based questions. All fully customizable.
You can target by App version, Geo, Page wise without putting in extra dev effort.
Install once. No App update required later. Wide set of questions which you can change/add anytime

value: Show HN: No More Feedback Widgets or Webviews on Native Apps

author: vipulag


value: darkwasp-pl

value: Show HN: TrailDrop – Lightweight GPX sharing and monetization platform

author: darkwasp-pl


value: Forgret

value:
I've been working on a C library that combines the best features of Fortran's multi-dimensional arrays with NumPy's expressiveness and Julia's performance.
Key features:
· Fortran-style column-major arrays with A[i,j] indexing
· NumPy-like operations (element-wise math, slicing, broadcasting)
· Memory-safe allocation/deallocation
· Efficient views instead of copies for slicing operations
· Linear algebra support (matmul, transpose, etc)
It's written in pure C99 with no dependencies beyond standard math libraries. Perfect for scientific computing where you need both performance and expressiveness in C.
GitHub: https://github.com/Ferki-git-creator/stdm

value: Show HN: MassifLib++ – Bringing Fortran-style arrays and NumPy operations to C

author: Forgret


value:
Hi HN
I built a fun little tool:
 It uses Groq’s LLaMA 3.3 + Puppeteer to analyze a website
 Then it roasts the design/content/UX with humor
 And finishes with 3–5 genuinely helpful improvement tips
You can try it here:
 https://ai-roast-vert.vercel.app
I wanted to:
Practice fast idea-to-launch cycle (built in 2 days)
Experiment with a viral-friendly product
Monetize with a $0.55 pro version that gives a detailed roast + download
Would love your feedback — on the idea, the tone, the usefulness — anything!
Thanks in advance

value: Show HN: I built an AI that roasts your website and gives tips to fix it


value:
Hey HN!
I love those moments when LLMs are just working right away, but I'm also quite frustrated when they can't complete a single simple task. In those moments I'm always wondering "Is it just me or...?" So I've built AI Daily Check.
Made the frontend with Node.js under Cloudflare Pages (with Functions for SSR). Took the opportunity to learn how to make a lightweight SSR engine (Claude Code was incredibly helpful for this!). The backend in on Cloudflare Workers.
The challenge is getting votes, so I've started to scrape Reddit, running a small sentiment analysis on the posts and storing them if relevant. But I hope the upcoming integration will help!
I've also created a Claude Code extension where you can vote, but also shows Claude's current sentiment right when you start it! [1]. A Chrome extension is coming soon for browser-based LLM users. Next step would be to pull incident reports if any [2].
I still have issue on how to represent better the summary we see on the homepage. If anyone has any idea, would love to take it!
Would love feedback from the community!
Try it here: https://aidailycheck.com
[1] https://github.com/aidailycheck/claude-code
[2] https://status.anthropic.com/incidents/h26lykctfnsz

value: Show HN: Built a Real-time sentiment LLM tracker


value:
I built Nano2Image: a tiny tool that turns a text prompt and/or a reference photo into a usable image in seconds. The goal is the fastest way to get something decent for e-commerce thumbnails, social headers, or quick design trials—without a login wall.
What it does now
Text → image and reference image → image (image-to-image).
Preset aspect ratios (1:1, 3:4, 9:16) to avoid post-crop.
No account required for a quick trial (daily rate limit to prevent abuse).
A minimal, guided UI: only the knobs most people need to ship a result.
How it’s built / trade-offs
Next.js on Cloudflare Pages (fast cold starts, global CDN).
Supabase for simple per-day quotas and lightweight logs.
Reference handling via https image URL to keep the front end lean.
Basic file checks; no batch queue yet to keep infra simple.
What’s intentionally different
Optimized for reference-driven results and speed-to-first-image.
Fewer choices by design—aiming for “good enough, quickly,” not a studio console.
Known limits / near roadmap
Character/identity consistency over long series isn’t robust yet.
No workspace/history or batch generation (planned).
Upcoming: batch mode, visual style/lighting presets, and shareable recipe links.
I’d love feedback on
Reliable input rules for reference images (size/crop/compression).
The minimum set of parameters you still want for practical outputs.
Whether recipe export or batch mode should land first.
Demo: https://nano2image.com/
I’ll be in the comments to answer questions and ship fixes quickly.

value: Show HN: Nano2Image – Turn prompts and reference photos into images (no signup)


value: yaychay

value: Show HN: Turn graveyard of unused domains into an AI affiliate stores

author: yaychay


value: I got laid off a month ago. Reworked my portfolio website to waive off the monotony of clicking the apply button. Any feedback is welcome!!

value: Show HN: My CRT Aesthetic Portfolio Website


value: morethananai

value:
Hi HN,
We’ve been working on an AI Agent that helps SRE/DevOps teams diagnose incidents without juggling dozens of dashboards. Instead of learning another tool, you can talk to it in plain English, and it correlates metrics, traces, and logs to explain what’s really happening.
Why we built this:
We’ve used a lot of observability tools ourselves as SREs, and also helped others set up observability systems. The idea of observability is great, but in practice we kept running into the same problems: steep learning curve, and constant context-switching between tools when debugging.
We thought AI might help here. By correlating data from multiple sources, you can just ask questions in natural language and let the AI gather and analyze the data for you.
Right now we’re focused on incident analysis: when an incident happens, the AI Agent looks across metrics, logs, traces, and extra eBPF signals we collect, then tries to explain the causal chain leading to the issue. You can also add the agent to a Slack channel and chat with it directly during incidents.
It’s powered by eBPF for deep kernel-level visibility, an LLM-based agent for reasoning, and integrates with your existing observability stack so you don’t need to replace tools.
To make it easy to try, we built a sandbox: https://sandbox.syn-cause.com
How to use the sandbox:
1. Deploy a test app
2. Inject failures (e.g. latency, errors, resource exhaustion)
3. Chat with the AI Agent as it analyzes the signals and explains the incident
We’d love your feedback:
* Does this approach feel useful for diagnosing incidents?
* What would you want to see it do better/differently?
* Any concerns about usability or integration?
Thanks!

value: Show HN: Play with an AI agent that debugs incidents in our sandbox

author: morethananai


value: codazoda

value: Several years ago I started tracking my own website stats using a minimal counter that preserves user privacy. I wrote about that in my article, Private Analytics and the Raspberry Pi in my Bedroom.<p>The original version was a PHP script. It's been working well for several years, but I had some hardware trouble with the Raspberry Pi. So, this week I took those concepts and wrote Consentless as a Go application to replace that original script and I created some initial documentation.

value: Show HN: Consentless – A minimalist, privacy-preserving traffic counter

author: codazoda


value: yeahoffline

value:
I started DCA’ing into BTC many years ago. I kept missing buys, buying emotionally into pumps, and forgetting during chop. So I wrote a simple script that hit an exchange API once a day with a fixed amount. Friends asked to use it, so I generalized it and added a DB to manage multiple users.
Why I didn’t use existing tools: Most options I tried were either locked to one exchange or did fixed-amount DCA with naive execution. I wanted multi-exchange support and a way to scale buys during dips and preserve capital during rips. I also kept running into inconsistent API rate limits and small-order quirks, which made me prefer building.
Why turn it into a service: At first it was just JSON configs on my machine. More friends kept joining. I added a basic self-serve UI so I wasn’t SSH’ing to change params. Hosting costs stayed small, but my time did not. At that point it made sense to package it.
“multiplier DCA”: Instead of buying a fixed amount on a schedule, the bot computes a multiplier in the range 0.1–3× and scales the order size. During dips it buys more; during euphoria it scales back or skips. Inputs include standard indicators plus some AI and social context; guardrails cap the multiplier and enforce cool-downs so you don’t blow a week’s budget in the first leg of a dump.  The goal isn’t to “time the bottom,” it’s to shift size a bit toward better prices without starving future buys.
Results so far (caveats included): On a public, static backtest over the last year, the multiplier approach accumulated ~30% more BTC than fixed DCA, with slightly higher total spend. Backtests aren’t reality; live trading taught me to add pacing and cool-downs.
Tech stack and latency: Watcher → queue → workers. Node.js services with AWS DynamoDB/Aurora for state, SQS for queues, Lambda workers for execution. Typical timings: ~20 ms to scan, ~10 ms to enqueue, ~100 ms–2 s for the trade depending on the exchange. We didn’t optimize for HFT; this is DCA, not microsecond arbitrage.
How long it took: The first script is ~6 years old. The multiplier engine grew out of a friend’s suggestion to size into dips. I iterated for years, added a UI this year, and opened it to more friends.
https://dca.bot
I’m here for feedback and AMA—architecture critiques, multiplier design, failure modes, exchange abstractions, whatever’s useful.

value: Show HN: I built a Bitcoin DCA bot – here's why

author: yeahoffline


value: jflessau

value:
Hi!
This is a minimal, 3D-printable frame for a 7.5" e-ink display, along with a website to control its content. The calendar form lets you upload a picture for each day.
For my frame, I made the website public and posted it on Reddit a few months ago. Since then, I start my workday by looking at an image a kind stranger decided to share for this particular day, which feels super wholesome.
Surprisingly, 95% of the images fall into the random/cute/fun category, only 5% were uploaded to somehow offend the viewer.
In case you want to build one yourself, here are all the instructions you need:
https://github.com/jflessau/inkday
And this is the site to control what's displayed in the frame on my desk:
https://inkday.jflessau.com/

value: Show HN: Let the internet control your framed e-ink display

author: jflessau


value: Not everyone is good at (or comfortable with) talking to doctors or other health care professionals. This app aims to help. Users describe a situation and the app suggests questions they can ask their provider. It's basic and limited in functionality, but the idea is just to help someone have a better interaction with a provider. Some people intuitively ask their doctors lots of questions. Some people are afraid to ask anything. This app can maybe help people find a happy medium. If you already ask lots of questions, maybe the app will come up with something you hadn't considered. If you can't think of any questions to ask, the app should give you at least one or two that are relevant to get a conversation started.

value: Show HN: Simple web app to improve conversations with health care providers


value:
Hey guys, I was long looking for an app that would let me track practically anything in my life. I was interested in seeing how different lifestyle choices created different outcomes in mood, energy and overall well-being. That's why I created Perfice!
The existing solutions I came across seemed very fixed in what they could track, often specialized but not so flexible.
If you wish to check out the source code, it's on GitHub: https://github.com/p0lloc/perfice. The current production version is running on https://perfice.adoe.dev. There's also an Android app published on https://play.google.com/store/apps/details?id=io.perfice.app.
# Trackables Track anything you can imagine, whether it's mood, food or even times pooped. Custom forms can be created, with plenty of different input/data types at your disposal.
You can setup 3rd-party integrations (currently Fitbit, Todoist & Weather) which will save you the burden of manually inputting data.
# Analytics Analytics offer valuable insights into your life and help you improve. Perfice automatically correlates all data to provide insights like "Your Mood is higher when Steps is higher", "Your Sleep greatly increased today (8h 42min) compared to your average 7h 30min" or "Your Stress is lower when 'Social day' is tagged". You can see charts of your trackables historically over time and discover insights like "Sleep is usually higher on weekends".
# Dashboard See everything come together in a neat dashboard. Setup different charts to get a quick overview of your life. Completely customizable in terms of moving around widgets and resizing them until you're happy.
# Local-first The app is built with web technologies to be run completely in the browser, all data is stored locally, with the calculations being done by your machine. Only if you enable synchronization between devices (end-to-end encrypted) or 3rd-party integrations (like Fitbit, Todoist etc) will the data leave your device.
Any kind of feedback is highly appreciated, both positive and negative!

value: Show HN: Open-source self-tracking app to better understand my life


value: tdubey

value:
Hi HN,
I've always loved the aesthetic, quirks, and concepts of Plan9, and I wanted to see how far I could vibe-code a web desktop/OS that resembled it. The result is DWS OS.
My goal was to reach a point where I could build "userspace" apps for this OS, in the OS. DWS OS has a virtual filesystem, an approximation of the ACME editor, file browser, internet browser (just an iframe for fun), and a few other apps to discover.
The environment supports uploading and downloading data from the virtual filesystem, along with support for JavaScript programming within ACME and an API for building GUI apps within DWS OS and interacting with the OS DOM. Lastly, you can export and import the state of your OS as a JSON to share with others! Check out the `examples/` directory!
I'd love to hear your feedback and suggestions and see if you build anything interesting within the OS, thanks!

value: Show HN: DWS OS, a Plan 9 Inspired Web “OS”

author: tdubey


value:
Hi there, me and some friends were inspired by Simon Willison's recent post on the "lethal trifecta" (https://simonwillison.net/2025/Jun/16/the-lethal-trifecta/ ) and started building a gateway to defend against it.
The idea: instead of connecting an LLM directly to multiple MCP servers, you point them all through a Gateway.
The Gateway:
- Connects to each MCP server and inspects their tools + requirements
- Classifies tools along the "trifecta" axes (private data access, untrusted content, external comms)
- When all three conditions are about to align in a single session, the Gateway blocks the last step and tells the LLM to show a warning instead.
That way, before anything dangerous can happen, the user is nudged to review the situation in a web dashboard.
We'd love for the HN community to try it out: https://github.com/Edison-Watch/open-edison
Any feedback very welcome - we'll be around in the thread to answer questions.

value: Show HN: An MCP Gateway to block the lethal trifecta


value: ykhli

value:
I built a MCP server for Vestaboard that lets Cursor (or any MCP-enabled agent) post directly to your Vestaboard.
That means you can do things like:
- Have a Cursor agent generate daily art, quotes, or reminders
- Push real-time updates from your repo, builds, or integrations straight onto your Vestaboard
- Treat your board like an output channel for experiments with agent orchestration
Repo: https://github.com/ykhli/mcp-vestaboard
And a video demo: https://x.com/stuffyokodraws/status/1966528497075081581
Would love feedback and ideas on fun agent-driven projects people would build with this!

value: Show HN: Vestaboard MCP – Let Cursor agents create art on your board

author: ykhli


value: ashbreaker

value: Show HN: Cascade – turn todo-list into calendar schedule

author: ashbreaker


value: egldmila

value: Hey everyone!So here's the thing - I've been building side projects for about 3 years now, and honestly, the most frustrating part wasn't coding or design. It was finding a damn good domain name.Last month I had this perfect name for my new app. Spent like 2 hours checking if it was available across different TLDs, going back and forth between tabs. By the time I decided to buy it... gone. Someone literally registered it while I was thinking about it.That was my breaking point lol.I ended up building NameGator (namegator.net) - it's basically an AI-powered domain name generator that checks availability across 30+ TLDs instantly. No more tab switching, no more losing domains while you're deciding.But here's the thing - I'm still working out some bugs and would love if you guys could break it for me. I mean, really try to break it. Weird search terms, crazy combinations, whatever comes to mind.The tool suggests business names using AI, then immediately shows which domains are actually available. It's been super helpful for my projects, but I know I'm probably missing edge cases.What's the most frustrating part of domain hunting for you? And if you do try breaking my tool, let me know what happens!

value: Show HN: Free AI Business Name Generator and Domain Avalibility

author: egldmila


value: Ophilip

value:
Hey HN,
We just launched Lumro, a platform that lets you create AI agents that actually do things, not just chat.
With Lumro you can:
Handle customer support instantly, 24/7
Capture leads and qualify them
Book demos or route tickets automatically
The idea is to take repetitive work off human teams so they can focus on strategy and relationships.
We launched yesterday and so far:
200+ people checked it out
15 signed up
Our agent booked 1 demo
Our agent captured 2 leads
It’s early days, but we’re excited about the traction.
Would love your feedback especially on what you’d want to see in an AI agent for your business.

value: Show HN: Lumro – AI agents for customer support, sales, and more

author: Ophilip


value: saintmalik

value:
Unlike other birthday apps that ping you the morning of, sendwish gives you countdown alerts:
"Mom's birthday in 5 days "
You get time to:
- Craft a personal message
- Pick from gift options like personalized merch boxes, gift cards and more
- Actually be thoughtful instead of rushed
The app handles:
- Birthdays, anniversaries, graduations
- Countdown reminders (5, 10, 25 days out)
- Gift integration
- Personal message crafting
- Global SMS/WhatsApp delivery
Currently at 224 users from different countries.
Tech stack: Go + Supabase + Twilio + LemonSqueezy
Try it: sendwish.app
What events do you always forget? Looking for feedback on features vs simplicity balance.

value: Show HN: I built sendwish, birthday reminders and gift sending that doesn't suck

author: saintmalik


value: jaequery

value:
Hey HN,
I’m a former CTO who’s getting older and just wanted to build something fun again. So I vibe-coded TierBuddy, a tier list creator that’s simpler, sleeker, and has AI to auto-generate lists from a single prompt. It also has built-in image search and a UI that doesn’t get painful once you have 20+ items.
I haven't had much luck gaining traction from Show HN lately so if you can please upvote and leave a comment, that'd be much appreciated. Thanks!

value: Show HN: TierBuddy – A better, faster tier list creator with AI

author: jaequery


value:
I have been struggling a lot with focus during research recently, and AI apps and browser windows dont help with that, I go on tangents in conversations with AI, so I built an app that would refuse to answer questions if out of context.
So it's basically a PDF reader + Rich text notes + AI chat (RAG optimized for learning with context of the document) + annotations that can link these chats and notes to PDF content.
It's free to try, give it a go if you have a similar workflow. If you have a PDF heavy workflow, you'd find it useful.
Its very lightweight as there are only the required features (5Mb dmg , 12Mb unpacked)

value: Show HN: Modelling a macOS application around my productivity research


value: Forgret

value:
I created numbase is an alternative to Base64 that encodes data into a single large number instead of ASCII characters. It's useful if you want to store or transmit data in numeric form and easily apply compression algorithms like Huffman.
GitHub: https://github.com/Ferki-git-creator/numbase

value: Show HN: I got tired of Base64, so I made a numeric-only alternative


value: fedepochat

value:
Hello,
I have been working on an open-source project to containerize dev environments.
We want to fix the common: "it worked on my machine issue". Also, it's really useful for python since you don't need any venv management.
Any feedback on the project or doc is really appreciated!

value: Show HN: Open-Source to Containerize Dev Environments

author: fedepochat


value: nicojuhari

value:
Business website for a finance company from Moldova—Ideal Credit.
I hope the website feels good and clear.
The next step is to add more pages and improve the ranking with quality content.
Thanks.

value: Show HN: I built this website for a financial company

author: nicojuhari


value: chatbotsplace

value: Show HN: A free library of AI stock photos with the prompts used to create them

author: chatbotsplace


value: aytuakarlar

value:
I’ve just released Project Chimera v1.2, an open-source hybrid AI agent that blends neuro-symbolic reasoning with causal inference to tackle strategic decision-making problems.
Benchmarks:
I tested my Neuro+Symbolic+Causal Agent against LLM-Only agent and LLM+Symbolic agent. The full neuro-symbolic-causal agent outperformed all baselines.
* In brand-trust mode, it hit 1.000 trust and $2M profit, 43% ahead of the nearest rival.
What’s new in v1.2:
* Trust-Adjusted Profit Metric → balances short-term profit with long-term brand trust.
* Dynamic Strategic Personality → adapts its internal priorities based on the mission goal.
* Mandatory Rule Validation → ensures all hypotheses align with business constraints.
* Performance Boost → causal engine now initializes once per simulation (much faster).
* Multi-Scenario Benchmarking → run brand-trust, profit-maximizing, and balanced strategies in one command.
* Expanded Metrics + Live Strategy Feed → more meaningful KPIs and real-time decision logs.
GitHub: https://github.com/akarlaraytu/Project-Chimera
Live Demo: https://project-chimera.streamlit.app/
I’d love your feedback, questions, or ideas for new benchmarks. Contributions are welcome!

value: Show HN: Project Chimera v1.2 – Neuro-Symbolic-Causal AI Agent (Open Source)

author: aytuakarlar


value: lexokoh

value: Show HN: PromptGit – GitHub for Prompts

author: lexokoh

title: Show HN: PromptGit – GitHub for Prompts


value: andrewhartnett

value: Show HN: Unicode Diagram Editor in the Browser

author: andrewhartnett


value:
Hi HN,
I’ve been working on something I’d love to share: 47jobs (https://47jobs.com
) – a marketplace where you can hire AI agents to do tasks instead of human freelancers.
Why?
I kept noticing that many tasks on Upwork/Fiverr—coding, content generation, data analysis, automation—can now be handled by AI in minutes, not hours. But there wasn’t a platform built around hiring AI directly.
So I built 47jobs:
100% AI agents doing the work (no humans in the loop).
Jobs get delivered 10x faster, at transparent prices.
You can “hire” an agent for coding, automation, research, etc.
I’d love your thoughts:
Does a pure AI-agent marketplace make sense?
What types of jobs would you want AI agents to handle first?
Any UX or trust issues you’d expect with this model?
This is an early version, and I’m here to learn from your feedback.
Thanks!

value: Show HN: 47jobs – A Fiverr/Upwork for AI Agents


value: tschoffelen

value: With WeTransfer becoming more complicated, I've started sharing my personal file sharing tool with more people.

value: Show HN: Mirri – Simple File Sharing

author: tschoffelen

title: Show HN: Mirri – Simple File Sharing


value: MarsB

value: Show HN: I made a small site to share text and files

author: MarsB


value: coryli

value:
I’m a contributor to StripeMeter, a tiny open-source tool to prove Stripe usage invoices are correct before they finalize.
What it does (small surface):
- POST /v1/replay — reconcile late/duplicate events (dry-run or apply)
- GET /v1/reconciliation/summary — see drift and counters before/after
- GET /v1/usage/history — time-series to visualize the effect
Why: real systems have retries, late events, and dupes. StripeMeter sits beside your billing/pricing layer to ensure the numbers are exact pre-invoice.
Not: a pricing/plan/entitlement system or a warehouse.
Scope & limits: aimed at early/mid-stage SaaS on Stripe usage billing; local target ~10k late-event replay in ≤ ~2s (queue/workers recommended at scale).
Contributors & Feedback wanted: docs polish, SDKs (Node/Python), replay worker improvements, minimal visualizer, observability (Prom/Grafana), integrations. Check Good First Issues and our pinned Design Partners thread if you want to run a quick parity session.

value: Show HN: StripeMeter – pre-invoice parity for Stripe usage billing

author: coryli


value: BSTRhino

value: An online multiplayer game I made about protecting your back. Absorb damage with your easily-replaceable front-facing turrets, while bouncing, curving, or dropping shots to your enemy's vulnerable hull at the back. Would love for more people to try it!<p>Online multiplayer uses WebRTC and rollback netcode and is made with Easel, a game engine I've been making for 3 years that makes games multiplayer automatically.

value: Show HN: Turret Tumblers

author: BSTRhino

title: Show HN: Turret Tumblers


value: Should work with any javascript runtime. Bring your own Standard Schema data validation library.<p>I went deeper into typescript than I've ever been, to get the type system going. AI helped of course.

value: Show HN: Xin ("Zen"), TypeScript API framework


value: Show HN: Tsink – Embedded time-series database for Rust


value: samsullivan

value:
Hi everyone, we built a vehicle history report offering that I wanted to share and get some feedback on.
It collects data from over 1,200 sources across North America and compiles to a single clean report like Carfax and Autocheck.
We would really value any feedback from anyone currently in the researching/buying/selling phase - what pieces of information are / were essential in your recent purchases?
Thank you!

value: Show HN: Cardog Reports

author: samsullivan

title: Show HN: Cardog Reports


value: andrewdug

value:
I am Andrew, and I’m building Aris (https://www.aris.chat/).
Aris is a minimalist tool that answers any questions a child has.
Encyclopedias, periodicals, field guides, cookbooks, and other print resources we used as kids to find knowledge, learn, and pursue our curiosities have been replaced in most households by something that is not safe for kids: the internet. So instead, kids get Fortnite, Minecraft, and ‘edutainment’ options that don’t compare to the knowledge resources that past generations have had access to.
With this in mind, many of the smartest people I know raise (or plan to raise) their kids with access to only a 1990s level of consumer technology, without smartphones, tablets, social media, online gaming, etc. Many of these people believe the last three decades of technological development have been a net negative for kids. When my child was born, I had a similar sentiment. However, there are some major problems with limiting a kid’s access to technology today. To name a couple: 1.) a set of World Book encyclopedias now costs $1,200, and 2.) many print resources aren’t as good as they used to be, if they are even still in print, since the market changed. As parents, we need a safe, simple, nonaddictive way for kids to access and explore the world’s knowledge easily and independently.
Aris uses a combination of large language models with policy engines and web search tools to find relevant, timely answers to their questions and only returns the stripped-down answers.  It does not return links for them to click on or images or advertisements. Parents can tune the moderation settings as finely as they’d like, preventing discussions about banned topics and even getting as specific as making sure Aris doesn’t tell their second child that Santa isn’t real.
The model context handling and system instructions are designed to prevent kids from building emotional reliance or relationships with it. Rather than trying to pull a child into the experience to maximize engagement, Aris is meant to gently redirect the child out of the device into the real world after their question has been answered.
We are available as a web app and iPhone/iPad app in the Apple App store, but we have also made our Apple Watch app available in the iOS store as well. We believe minimalist wearables are a good device substitute for younger humans, and we hope Aris can be a healthy addition to those wearables.
We plan to make money through premium features that include creating multiple child accounts, accessing premium models for better answers, and for ultra-high usage limits.
Come use the app for free on our website or by downloading it in the iOS store by searching for “Aris AI”. We’d love to hear your ideas, experiences, and feedback. Thanks!

value: Show HN: Aris – a free AI-powered answer engine for kids

author: andrewdug


value: Airyisland

value: Fast, secure, offline Base* encoder decoder operations with zero dependencies.

value: Show HN: Base64(16, 32,64, 85) encoder and decoder

author: Airyisland


value: amithegde

value:
Transforms debugging with WinDbg into a conversational, LLM-assisted experience. Instead of memorizing cryptic commands, you can interact with the debugger using natural language: such as show me all the handles opened by this process, list enabled token privileges etc.
It includes:
A native WinDbg extension for command execution
An AI-driven MCP server that bridges debugging tasks with powerful language models
Integrated support for WinDbg features like breakpoints, memory views, and the dx visualization command
Any improvement suggestions?

value: Show HN: VibeDbg – Cconversational, LLM-Powered AI Assistant for WinDbg

author: amithegde


value: abilafredkb

value:
I built something I wish existed when I was trying to make international friends: Eintercon
.
The idea: when you connect with someone new, a 48-hour timer starts. You’ve got that window to chat, exchange stories, or decide if you want to keep the connection alive. If you both agree, the friendship continues. If not, it expires and you move on.
Why this approach?
Traditional apps feel endless, and conversations die quickly.
“Permanent” chats often turn into ghost towns.
But with a deadline, conversations suddenly feel alive and intentional.
It’s not about swiping endlessly, it’s about sparking fast, authentic connections across borders.
We’re live here:
Play Store: https://play.google.com/store/apps/details?id=com.eintercon....
App Store: https://apps.apple.com/ee/app/eintercon/id6749785496
Would love feedback on:
Does the 48-hour concept feel exciting or limiting?
How would you use something like this — casual friends, cultural exchange, learning languages?
What feels missing or off-putting from the early version?
Thanks!

value: Show HN: Eintercon – A social app where every connection has a 48-hour countdown

author: abilafredkb


value: wkwan

value:
I’m using the excellent Bevy game engine for my colony sim/action game, but I do lots of real-time procedural generation/animation so the wgpu renderer is too slow.
So I wrote my own Rust/Vulkan renderer and integrated it with Bevy. It’s ugly, buggy, and hard to use but multiple times faster.
Full source code, with 9 benchmarks comparing performance with the default wgpu renderer: https://github.com/wkwan/flo
Video where I go over the examples and run them on the Steam Deck: https://www.youtube.com/watch?v=y1m30oOksmI

value: Show HN: Flo Is a Rust/Vulkan 3D Renderer for the Bevy Game Engine

author: wkwan


value: yelston

value:
Tizo makes managing time zones effortless for everyone, helping you stay connected with friends and teammates across the globe without the confusion.
It is entirely free for anyone to use. Tizo works locally in your browser, but if you prefer, you can sign up to save your preferences.
Feel free to check it out and share your feedback. Thanks!

value: Show HN: Simplifying Time Zones for Everyone

author: yelston


value: tonyspiro

value: Show HN: Open source, AI-enhanced Mailchimp alternative

author: tonyspiro


value:
I ported Markus Kuhn’s wcwidth to TypeScript and optimized it with bitset lookups for O(1) performance.
It now covers the full Unicode 15.1 combining ranges.
GitHub: https://github.com/dawsonhuang0/Wcwidth-O1
NPM: https://www.npmjs.com/package/wcwidth-o1
Feedback welcome!

value: Show HN: wcwidth-o1 – Find Unicode text cell width in no time for JavaScript/TS


value:
I built a small project to provide free, anonymous AI-powered mental health support.
Instant chat, available anytime
Privacy-first (no signup, no tracking)
Supportive and non-judgmental
https://mental-ai-answer.vercel.app/
This is not a replacement for therapy, but a tool for guidance, journaling, and daily support. Would love your feedback.

value: Show HN: Free AI Mental Health Chat – Instant, Private Support


value: atharvtathe

value: Show HN: I made tool to convert your photos to cartoons

author: atharvtathe


value: tonychestnut

value:
Hi HN,
A while back I was trying to grow my following on X and Facebook, but I kept running into the same problem: I couldn’t consistently come up with good content ideas from time to time. Posting regularly can feel daunting, and replying to comments or threads often ends up taking more time than it should.
That frustration pushed me to build VibeReply
 — a Chrome extension that uses AI to help generate posts and replies directly inside social platforms.
Most AI writing tools live in a separate editor or dashboard. I wanted something lightweight, integrated, and fast — something that works where I already spend my time. That’s why VibeReply sits directly inside the platforms (X, Facebook, LinkedIn) instead of requiring copy-pasting from another app. It also focuses on making replies feel conversational and natural rather than generic. Every post or reply is unique, even when you use the same tone or topic multiple times, so it doesn’t recycle the same responses.
Why I think it stands out from other social reply apps:
- It’s fully integrated and works directly inside the three major social platforms — X, Facebook, and LinkedIn — so you don’t need to copy and paste between tools.
- It goes beyond simple reply generation by also helping you create fresh, engaging posts. You can choose from a variety of topics, generate an advice, a fun fact, or even a controversial statement in the selected topic and get unique content every time.
- It supports multiple languages, ensuring replies are generated in the same language as the original post for more natural conversations.
- Coming soon: the ability to set your own custom topics and tones, plus AI-powered meme generation for posts and replies.
I built VibeReply to solve my own problem with staying active on social media, and now I’m excited to see how it might help others facing the same challenge.
Please check it out here: https://www.vibereply.app
This is a demo video of using VibeReply: https://youtu.be/SefUGxi52Rk

value: Show HN: VibeReply – AI Chrome Extension for Social Media Posts and Replies

author: tonychestnut


value: stephantul

value:
Hello!
I work on Hugging Face tokenizers a lot in my day job. Editing tokenizers, e.g., adding or removing tokens is super painful. This is why I wrote a library for working with the format.
It contains many useful tools for working with tokenizers, checking them, making them lowercased, etc.
There’s still loads of features to add and probably bugs to iron out, but I’ve been using it and it seems to work well!
Please let me know what you think,
Stéphan

value: Show HN: Skeletoken, a Package for Editing Tokenizers

author: stephantul


value: Brysonbw

value: Show HN: YC Startup Map – A Map Visualization of the YC Startup Directory

author: Brysonbw


value: Show HN: YC Web Scraper – Collection of scripts to scrape YC Startup Directory


value: neptunehub

value:
I just want to share my free and opensource GitHub repo, AudioMuse-AI:
https://github.com/NeptuneHub/AudioMuse-AI
It is able to do sonic analysis locally on your homelab thanks to Librosa and Tensorflow and the  thanks of this analysis can find sonic similar song, useful for instant mix, playlist creation or song path.
Thanks to API it works with Jellyfin and all the open subsonic API music server like Navidrome or Lightweight Music Server (LMS).
If you like please share your feedback on GitHub and leave a star on the repository.

value: Show HN: AudioMuse-AI Sonic Analysis

author: neptunehub

title: Show HN: AudioMuse-AI Sonic Analysis


value: lowsun

value: Show HN: Game Engine in Batch Script with real graphics, without non native EXEs

author: lowsun


value: ralphsebastian

value: Show HN: CarbonCodeX – AI Coding Assistant Built for Web Developers

author: ralphsebastian


value: gajananpp

value: Show HN: App running Qwen3-1.7b_q4f16 in browser featuring Bender from Futurama

author: gajananpp


value: hlyhfhl

value:
Hi HN,
I’ve been building Vivoldi, a multilingual SaaS for link management and analytics, and one of the hardest engineering challenges we faced was timezone conversion. I wanted to share some lessons learned that may help others running global systems.
1. Aggregation tables need hour-level precision
To support accurate timezone conversion, every aggregated record must include a timestamp with at least the hour. Minutes/seconds are not strictly necessary, but without the hour, conversions break. This significantly increases the size of aggregated datasets, so query optimization becomes mandatory.
2. Standardize server time, convert on the frontend
All database records are stored in KST (Korea Standard Time), since that’s where our ops team is based. On the frontend, data is always converted into the user’s local timezone. This makes operations easier for admins while still providing the right context for global users.
3. Query tuning is not optional
Timezone conversion adds unavoidable complexity, so database tuning is critical. Poorly optimized queries will choke when datasets grow large. Indexing, partitioning, and minimizing unnecessary conversions made a huge difference in our case.
I’d love to hear how others have handled timezone issues in their systems. Do you normalize everything to UTC, or do you also keep server-local time for operations?

value: Show HN: Lessons from handling timezone conversion in a global SaaS

author: hlyhfhl


value: ibrahimdanish

value:
Circuit Bot lets you ask natural questions about semiconductor devices like:
“How do I configure ADC1 for continuous conversion?”
“How many I2C channels are available?”
"How to put device into low power mode"
Device documents such as datasheets, technical reference and user manuals are dense. We’ve all spent hours digging through registers and peripheral descriptions.
Circuit Bot cuts that time down by:
Reducing time to prototype
Helping you understand devices faster
Generating code snippets based on datasheets, technical references, and sample code
Current status
 MVP is live
 New devices are added regularly.
We need your feedback
Would this help in your day-to-day embedded work?
Which chips or peripherals should we support next?
Would you prefer Circuit Bot as a standalone tool, or integrated directly into your IDE/docs portal?

value: Show HN: Circuit Bot – The AI powered co‑engineer for embedded systems

author: ibrahimdanish


value:
I built this tool because I was tired of uploading images to random conversion sites or setting up CLI tools for simple format changes.
Key features:
• 100% client-side processing using Canvas API - no uploads, no servers
• Batch conversion with drag & drop
• Preserves original dimensions and quality
The entire conversion happens in your browser using HTML5 Canvas. I chose this approach for privacy and speed - your images never leave your device.
Would love feedback from the community, especially on performance with large batches or edge cases I might have missed.
Try it out: https://webptopng.dev

value: Show HN: WebP to PNG converter that runs in the browser


value: bhasinanant

value:
Just created a simple Postgres DB backup viewer.
For those times, you just want to have a look, but importing to a postgres instance is too much hassle.
No uploading. No login. All local.
Haven't tested with larger files(> 20mb). Everything under is snappy
Would love to see what mileage we can get out of this.

value: Show HN: Quick Postgres Backup Dump Browser

author: bhasinanant


value: lexokoh

value: Show HN: PromptGit – Git diff and rollback for LLM prompts

author: lexokoh


value:
Hey HN,
I built AI Roast
 – a simple web app that takes your website and gives you a funny AI-powered roast.
Features:
Instant roasts in a lighthearted tone
"Pro Roast Report" (downloadable) if you want to take it further
Share button to drop your roast on Twitter/X easily
Live stats: total roasts, reports sold, and shares
Why:
I wanted something playful to explore AI beyond productivity apps. Instead of “AI that helps you work,” this is “AI that dunks on you.”
Would love feedback on:
Roast quality (do they land?)
UX — what would make this more fun/shareable?
Any crazy ideas for distribution
Try it here  ai-roast.jamatrix.io

value: Show HN: AI Roast – Fun AI-generated roasts of websites


value: slonik

value:
Hi HN!
Kristyna here.
I built this free churn calculator and would love to share it with you.
It calculates SaaS churn (including retention, net growth rate, GRR, NRR) and generates a nice shareable JPG from the results that you can use for investor updates, standups, or social posts.
Why this calculator?
- It calculates churn and other business metrics fast and without mistakes.
- With 1 click you can generate shareable JPG from the results.
- The calculator is free, no-login, private (calculations run in your browser)
Thank you for taking a look. Let me know what do you think!

value: Show HN: I built SaaS churn calculator (free, no login, 1-click JPG export)

author: slonik


value: wesnet

value:
Been using Claude Code for a few months and realized it can bypass its own permission system pretty easily. Even with deny config or CLAUDE.md rules, it finds ways to read .env or similar files through alternative paths or indirect commands. There are several open issues in the Claude Code repo about this. Also maintaining blocklists across teams is honestly a pain. Everyone has different secrets, different file patterns, and trying to keep CLAUDE.md or settings.json files in sync gets messy fast.
So I spent the weekend building cc-filter - a security layer that sits between your prompts and Claude. It intercepts everything before Claude sees it and filters out API keys, database URLs, secrets, basically anything you don't want an AI to access. It uses regex patterns and understands different file types.
This works with Claude Code's hook system but also as a standalone tool. I wrote it in Go, so it's fast and ships as single binaries. No dependencies, just download and run. It's configurable because everyone's security needs are different, but it comes with sensible defaults for common secrets.
Been using it for some time now and finally feel comfortable letting Claude help with my actual projects instead of sanitized examples. Hope you find this useful and let me know if you have any feedback
GitHub: https://github.com/wissem/cc-filter

value: Show HN: I made cc-filter after Claude kept bypassing its own rules

author: wesnet


value: Ultimate Silksong map with 280+ POI locations, boss fights & collectibles. Explore Pharloom areas, memory lockets, spool fragments & secrets.

value: Show HN: Silksong map with 280 POI locations,boss fights/collectibles


value: coolwulf

value: Show HN: Neuralrad Mammo Free tool for breast patients to get secondary opinion

author: coolwulf


value: kafked

value: Show HN: A store that generates products from anything you type in search

author: kafked


value: Show HN: We Built AI Sales Chatbot for SaaS Websites


value: pypypypypypy

value: Show HN: A local MCP server that wraps Swarmia's Export API

author: pypypypypypy


value: moorst

value:
I’m a parent who got tired of searching “is [movie] okay for kids?” and finding outdated or paywalled sites.
I built ChildSafe Media, a free site that pulls in data from TMDB, IGDB, and Google Books, and uses AI to provide clear parental guidance.
No account necessary, no paywall, just search and see what parents need to know (violence, language, themes, etc.).
Would love feedback — especially on accuracy and what would make this most useful.

value: Show HN: ChildSafe Media – AI parental guidance for movies, shows, and games

author: moorst


value: QingWu

value:
Master Markdown with The Ultimate Cheat Sheet
Quick syntax reference, real-time preview, and interactive learning. Everything you need to write beautiful documentation, READMEs, and technical content.

value: Show HN: Markdown Cheat Sheet

author: QingWu

title: Show HN: Markdown Cheat Sheet


value: Show HN: A Tree-sitter based code chunking library for code search


value:
CLAVIER-36 is a programming environment for generative music. Programs are laid out in a two-dimensional grid, and evolve over time according to a fixed set of rules. The system is much like a cellular automaton, in that most of the rules governing the evolution of the system are local.
C36 programs describe sequences of discrete events in time. The environment includes a primitive sampler, as a self-contained means of interpreting these events as sound. For full expressivity, though, the system is best used as a generator of data for interpretation by an external musical instrument, such as a synthesizer.
The project was very directly inspired by Orca (https://100r.co/site/orca.html). It began as my own from-scratch implementation of Orca and diverged over time.
It's written in C, and compiled to WASM for the browser.
See the following pages for more info:
about page: https://clavier36.com/about
user manual: https://clavier36.com/manual
tutorial video: https://youtu.be/rIpQmJVMjCA

value: Show HN: CLAVIER-36 – A programming environment for generative music


value: Show HN: A simple stock analysis app

title: Show HN: A simple stock analysis app


value: garyz

value:
The internet has become adversarial. Youtube contains a treasure trove of knowledge and information but is also filled with time sucking shorts and slop. Knowledge is locked within these trillion dollar platforms managed by PM's who unlock million dollar stock grants for every minute of increased engagement. The web is now incentivized to keep you dissociated and scrolling.
The effects on your brain are worse than you think. Researchers found that endless feed and infinite scrolling disrupts memory encoding. The more you use social media, the more everyday memory slips. Feed prevents construction of self.
After a while I came up with a counterintuitive realization: the only way to regain control is to surrender control. Human willpower is finite, and it should not be spent on fighting distractions. LLMs, however, are perfectly suited for this task.
So I built a chrome extension called Derail. You tell Derail what your goal is, and it uses open source models to evaluate every page's content and determines if it should be blocked or allowed through. Distractions are curtailed at the earliest stages possible before you get sucked into the mindless doom scrolling loop.
Both the goal prompt and blocking prompt are customizable, so each person can fine tune the blocking behavior to their level of strictness. Are you conducting economic research and want access to newspaper and financial videos only on Youtube? Done. Are you learning math and only want access to math lectures on Youtube? That's also achievable.
Letting models act as gatekeeper to the internet sounds extreme. But against trillion-dollar companies built to devour your attention, it's barely sufficient.
It's an early prototype right now, and classification isn't perfect, but it has made a positive impact on my life. I'm releasing this tool and paying for inference out of pocket, because this is an issue I truly care about.
If this resonates with you too, I would love for you to try it out and give me any and all feedback about how it can be improved.

value: Show HN: Derail – Fight back against algorithmic addiction with LLMs

author: garyz


value: pcrausaz

value: Show HN: Tap Map (iOS) crowdsourced beer prices in Edinburgh and London

author: pcrausaz


value: DemocracyForAll

value: I used Vercel and Figma. Never thought I'd be able to do it.

value: Show HN: I'm a dermatologist who AI coded this triage tool

author: DemocracyForAll


value: Show HN: Libcurl.js – libcurl in WASM for end-to-end encrypted CORS proxies


value:
After using Claude code for a few months, I set out to create my own version and realized that I spent most of the time creating a framework for organizing agent interactions. After a few more months of tinkering and playing around with ideas I created Wasmind.
Wasmind is a modular framework for building massively parallel agentic systems.
It's an actor based system where each actor is a wasm module. Actor's are composed together to create Agents and you can have 1-1000s of Agents running at once. Actors communicate through message passing where every message is broadcasted to every actor.
Wasmind can be used to build systems like Claude Code or really anything multi-agent you can dream of (examples included in GitHub: https://github.com/SilasMarvin/wasmind).
Wasmind solves a few key problems:
1. Modular plug and play
2. User-centered easy configuration
3. User-defined and guaranteed enforceable safety and agent restrictions (coming soon)
4. Allows easily composing any number of agents
You can configure it to use any LLM local or remote. I haven't tried qwen3-next but qwen3-coder (especially served by providers like Cerebras) has been incredibly fun to play with.
Thanks for checking my project out!

value: Show HN: Wasmind – A framework for building massively parallel agentic systems


value: Show HN: Pet Check AI (iOS) because pets don't come with symptom checkers


value: chooat

value:
I created a Nano Banana Prompt Generator. Instead of just browsing existing prompts, you can now generate fresh ones with a bit of guidance. The idea is to make it easier for people who are new to Nano Banana (or prompt writing in general) to get started.
For example, if you enter "3d figure" in the input box, a complete 3d figure image prompt will be generated.
Try it here: https://nanobananaprompt.org/prompt-generator
Thanks for taking a look!

value: Show HN: Nano Banana Prompt Generator

author: chooat

title: Show HN: Nano Banana Prompt Generator


value: junlin

value: Why I built this: I don't trust any website that asks me to link bank accounts or upload my bank statements, but manually categorizing every transaction is too tedious.<p>---<p>My favorite feature: you can use double colons to add structure to your category, e.g., Income::Salary, Expense::Grocery, Saving::Investment. When you export the result, each level becomes its own column.

value: Show HN: CategorizeOnce – open-source web app that auto-categorizes transactions

author: junlin


value: feskk

value: Show HN: Make your Kindle highlights useful

author: feskk


value: johnnyfived

value: Show HN: Tenets – CLI for context that feeds your prompts

author: johnnyfived


value: imvetri

value:
Here is a computer science fiction story.
The cursor moves across the screen and opens a document titled "How to make a computer browse internet automatically"
The cursor reads the document, word by word, builds a knowledge graph, generates actionable scripts and injects to itself.
The cursor then knows how to browse the internet, starts browsing and accumulating knowledge 24/7.
The cursor reads about computers, hardware, programming, movements, does fact correction with the hardware it is built on.
The cursor builds a simulator to run simulation of knowledge in a sandbox environment before executing actions in the real browser or knowledge space. This allows efficient usage of energy.
The cursor does self optimization a.k.a goes into hibernation when the monitor is turned off.
To make the concept entangled, the cursor feeds from the light of the monitor as the energy source. This creates a balance in energy transformation.
https://ui-editor.com/f/how-to-make-a-computer-browser-inter...

value: Show HN: Writing – How to make a computer browser internet automatically

author: imvetri


value: Show HN: Open Source Deal Flow Monitoring Infrastructure Built for VCs


value: bolik

value: KittyLoader was developed for controlled red-team and adversary-emulation engagements where a stealthy shellcode loader was required to exercise detection, response, and hunting controls. Its design focuses on minimizing persistent artifacts, utilization of undocumented methods, and providing defenders with reproducible telemetry to test detections. KittyLoader is intended for authorized, ethical use only, do not deploy it against systems you do not own or have explicit permission to test. If you're curious about how modern malware operates against top-notch EDRs, and what methods modern day APTs and other threat groups deploy, make sure to check KittyLoader out.<p>I’m happy to answer technical questions and hear feedback.

value: Show HN: KittyLoader – a modern shellcode loader displaying top-tier evasion

author: bolik


value: serhatcileri

value: Show HN: Tech Terms Quiz – Android App

author: serhatcileri

title: Show HN: Tech Terms Quiz – Android App


value: mfolaron

value:
Hi,
I have been building small AI Agents for quite some time now using various frameworks and one thing that always bugged me was that iterating on small things like prompts, flows, tools etc always took a code change + deployment of the app. While the prompt part can be solved with Langfuse I haven't found a good way to keep the flow management remote (and open source).
Lately I have been working with Genkit (https://github.com/firebase/genkit) and love how modular it is. So I thought why not build a UI builder on top of that that can handle simple flows, prompts and basic tracing.
And here we are with a first early version: https://flowshapr.ai
Repo: https://github.com/flowshapr/flowshapr
This first release can
- Manage and execute simple flows remotely
- Works with GoogleAI, Anthropic or OpenAi
- Integrate with remote MCP tools
- API Endpoint to execute flows remotely
- Flows and flow urls are compatible with the genkit client sdk
Upcoming
- Support for Ollama
- Support for various vector stores
- More complex multi agent flows
- Session management
Any feedback and suggestions are welcome!

value: Show HN: I built an open source drag and drop editor for Genkit AI flows

author: mfolaron


value: spacebacon

value: Disclaimer: I am no Rust expert. This project is completely vibe coded out of my frustration with Wordpress and the need for a secure (and free) CMS with a decent page builder. Whatever you do, don’t turn on acid mode in the container settings.

value: Show HN: My Rust CMS

author: spacebacon

title: Show HN: My Rust CMS


value: isacbuilds

value:
Hey HN,
I’m Isac, an engineer building nights and weekends. I’ve been posting and building in public for a while, but I couldn’t tell what actually moved the needle.
So I built ShipStreak to make consistency addictive and measurable.
What it does
- Tracks your build in public streaks
- Connects X (Twitter) + Stripe to log posts and revenue
- Visualizes progress with a heatmap + badges
- Helps you see which actions correlate with revenue
I’d love your thoughts on what’s useful vs just noise.

value: Show HN: I gamified build in public to see what drives revenue

author: isacbuilds


value: sonderotis

value: Hello. Found this cool easter egg built on top of QML

value: Show HN: A niri/hyprland Ricing config

author: sonderotis

title: Show HN: A niri/hyprland Ricing config


value:
Hi everyone! First time posting.
I built this mini memory game in an attempt to beat lazy memory syndrome.
because when was the last time you remembered what you did the day before purely based on memory (or without being prompted) ?
Super simple fun game for giving our brains a quick workout and actually reminding it on how to remember. If you had those old Nokia phones from the early 90s, the game will seem insanely familiar to you

value: Show HN: MemoryMe: An effort to beat Cognitive Decline


value: KiaraCanaan

value:
I tend to watch TV shows months or sometimes years after they air, and by that time, all the discussions are lost in internet oblivion. I wanted a space where I could join the conversation anytime. So I created one.
MediaMouth makes it fun and easy to talk about the media you love. Conversations are organized season by season, episode by episode, so you never have to scroll through chaotic hashtags to join in.
We’re looking for feedback on usability, ways to improve, and hopefully gain some new users. We’d love to hear your thoughts!
You can download the iOS Beta or watch the video walk-through on our website: www.mediamouthapp.com

value: Show HN: MediaMouth – I created a comment section for movies and TV shows

author: KiaraCanaan


value: saisrirampur

value: Show HN: TimescaleDB to ClickHouse Change Data Capture

author: saisrirampur


value: Bibinprathap

value:
Hey HN,
We just launched VeritasGraph, an open-source RAG framework that swaps out pure vector search for a knowledge graph backbone—and the response has been exciting: 3,300+ visitors and 130 GitHub stars in just 5 days.
Why we built it:
Vector RAG ≠ enough → Great for simple lookups, but it breaks on multi-hop questions that need connecting facts across docs.
Verifiable attribution → Every AI output is traced to its original source, making results auditable and reducing hallucinations.
Data sovereignty → 100% on-prem, no vendor lock-in, no third-party data exposure.
We want enterprise AI to be trustworthy, private, and explainable—not just “accurate enough.”
Repo: github.com/bibinprathap/VeritasGraph
Would love HN’s thoughts:
Are you running into the limits of vector-only RAG?
How are you tackling explainability and trust in your AI apps?

value: Show HN: VeritasGraph – On-prem Graph RAG (3.3k+ visitors, 130 stars in 5 days)

author: Bibinprathap


value: NebulaLab

value:
If you're tired of investment shamans, robo-advisors, and financial influencers telling you how to invest, we built a platform where you can experiment to find your own optimized allocations. Test different combinations of stocks, ETFs, and crypto across multiple exchanges. We're making the type of tools quants use accessible to everyone, in a user-friendly way.
Currently running a Beta test - Would be great if you try it out. This phase will extend for one or two weeks only, to check stability and test a couple of new features/add-ons. Expect hiccups.
On the site we provide a high-level explanation and a slightly more detailed discussion, all presented in an accessible way.
The link is https://nebulalab.ae
I'll be around in any case to answer Qs.

value: Show HN: Platform for testing investment allocations using quant methods

author: NebulaLab


value: lexokoh

value: Show HN: AgentBus – Connect and coordinate AI agents like microservices

author: lexokoh