value: piaxar

value:
Hi HN,
I built a simple tool that shows what an LLM (OpenAI model) thinks about any product — both based on its internal knowledge and web search. It also shows which sources the model relied on. You can download the analysis as a JSON file or share it via link.
I’m using:
- openai/gpt-4.1-mini for queries that require search
- openai/gpt-4.1-nano for those that don’t
Since the product is completely free, I’m sticking with the cheaper models. I do have a cost cap :)
Tech-wise, it’s a Python backend with FastAPI and some Node.js. I’m tracking analytics with PostHog: mainly unique users and search queries.
Next steps I’m considering:
- Open-sourcing it and letting users provide their own OpenAI API keys
- Adding smarter models, deeper analysis, and customizable categories behind a paywall
Would be great to hear where you see this being useful.

value: Show HN: LLM Opinion – discover what sources an LLM relies on

author: piaxar


value: mrunix

value: Show HN: my WIP operating system

author: mrunix

title: Show HN: my WIP operating system


value:
WebNami is a lightweight blogging tool for developers who care about performance and SEO. Built using 11ty, it delivers instant page loads while automatically handling the technical SEO details that most developers skip.
Key features:
- Perfect Core Web Vitals: 100/100 scores out of the box
- Built-in SEO audit: Catches on-page SEO errors during build time
- Zero-config SEO: Auto-generates sitemaps, RSS feeds, robots.txt, and json-ld structured data
- Complete meta management: Canonical links, Open Graph tags, and rich snippets included
- Modern UX: Dark/light theme toggle with system preference detection
- Developer-friendly: Syntax highlighting and clean, responsive design
- No plugins needed, no complex configuration. Just focus on writing while WebNami handles the performance and discoverability.
Just run `npx create-webnami-blog my-blog-name` to get started
Excited to hear your feedback!

value: Show HN: Blogs shouldn't be slow or bloated – I built a lightweight alternative


value: pyckle

value:
I built a tool in Java that reads, sorts, and writes flat Parquet files faster than DuckDB, using a new Java Parquet driver called ParquetForge.
Performance is achieved through column-wise reordering and parallel algorithms. Sort order is computed using fastutil’s parallel radix or quicksorts, and columns are reordered in parallel as well. Parquet-Sort outperforms DuckDB when sorting a 59M-row Parquet file generated by TPC-H by about 25% when compiled by graalvm native-image and about 12% faster when run with the latest Corretto 24 JVM.
More details, benchmarks, and source code are available here: https://github.com/Earnix/parquet-sort
All code is under the Apache 2.0 license.
Would love feedback, ideas, or contributions.

value: Show HN: Read Sort and Write Parquet Faster Than DuckDB in Java

author: pyckle


value: aanthonymax

value:
Hi HN! Together with contributors, we've been making a small template language for a year now, which, in our opinion, can replace HTMX and Alpine.js. It is a mix between EJS and Handlebars, that is, you can make a request with a familiar syntax to the server in HTML right in the markup.
Requests are made via fetch and are configured via javascript almost entirely, which is what is needed today to work with the server.
The very essence of the template language comes down to minimizing the size of the bundle of the original web application by moving the components to the server and then storing them there. Thus, on the client we get a framework, where we insert components from the server brick by brick.
We showed this template language a long time ago, but it was not so mature then, so people had a lot of questions: https://news.ycombinator.com/item?id=41204552
Thank you very much to everyone for your attention! Please tell me what you think about the project? It will be interesting to know!

value: Show HN: HMPL – Small Template Language for Rendering UI from Server to Client

author: aanthonymax


value: subpixelsoft

value:
PyJig can generate jigsaw puzzle cuts and full sets from an input image you provide.
It is from a puzzle app that I started a while back and shelved. It was stuck in a broken state due to some external dependencies, which I recently cleaned up.
Pretty niche, but maybe someone will find some use for it while I look for the motivation to pick up my original project idea.

value: Show HN: PyJig – an open-source digital jigsaw puzzle factory

author: subpixelsoft


value: kokau

value:
Hey HN! We just launched Brandolia, an AI-first branding platform designed for founders, indie-makers, designers, and creators.
What it does:
Enter your brand name + industry
Instantly get:
 A professional 4K logo
 A coherent color palette + typography
 A compelling slogan, storytelling, and brand vision
 A tailored marketing strategy
Coming soon: business cards, banners, websites, integrations…
I built Brandolia because so many of us lose days stuck in naming/branding before even starting to build. Brand building shouldn’t slow you down.
Would love to hear feedback, feature suggestions, or questions. Thanks!
– Corentin, solo founder of Brandolia

value: Show HN: Brandolia – Build your brand in under 1 minute with AI

author: kokau


value: brunohaid

value: Pretty straightforward: we index about 200 social media feeds into typesense, present them via Flask and a vanilla js client, by media type and descending timestamp, use feedgen to provide a RSS feed, and drive traffic to the original content creators.

value: Show HN: Strictly chronological social media feed

author: brunohaid


value:
Hi HN,
I’ve built and sold startups in healthcare, edtech, and supply chain — and across all of them, the same problem kept coming up:
People wasting hours pulling messy data out of PDFs, spreadsheets, websites, emails, and even videos… just to clean it up and re-enter it into CRMs, ERPs, or web forms.
Most tools in this space are built for enterprise teams or a specific vertical — they assume fixed formats, API integrations, and engineering support.
AutoForm isn’t that.
It’s an AI data entry agent built for real-world chaos and individual users:
Extracts from unstructured sources (PDFs, spreadsheets, sites, video)
Lets you tag, clean, and reformat data using plain language
Auto-fills online forms, pushes to your existing apps, or outputs to CSV/Excel
No APIs. No templates. No setup.
Just drop in messy inputs and get back usable output — even if every file looks different.
We’re opening up a waitlist now and would love feedback from the HN crowd:
What’s the worst data wrangling loop you’ve had to build?
Where have existing tools broken for you?
What kinds of sources or output targets do you deal with?
Happy to answer anything technical or edge-case-related in the comments.

value: Show HN: AutoForm – The AI data entry agent – stop copy-pasting


value:
I built a minimal, header-only ASCII font renderer for embedded systems and microcontrollers. It requires zero dependencies, supports monochrome and RGB565 displays, and uses an 8×8 pixel ASCII font (chars 32–126).
Useful for low-power devices, debug UIs, console demos, or any resource-constrained environments.
Single header (embedded_ascii.h)
Callback-based & buffer-based rendering
No heap allocation, <800B font footprint
Includes basic text measurement & demo mode
GitHub: https://github.com/Ferki-git-creator/ascii-render

value: Show HN: Header-only ASCII font renderer for embedded/SDL/terminal


value:
I built this after struggling to consistently create content for my own projects without being on camera or hiring creators.
With Adcraftify, you can:
Create a consistent faceless influencer for your brand
Generate UGC-style videos with multiple avatars (we’re adding new ones daily)
Make and refine static ads until you're happy with them
Export short-form videos for TikTok, Reels, and Shorts — no editing needed
It’s ideal for indie founders, solo marketers, or brands that need content but don’t want to deal with filming, freelancers, or agencies.
Would love your feedback or questions! Happy to share how it works under the hood too.

value: Show HN: I made a tool to create faceless influencers and UGC videos


value: akash-bilung

value:
I built ContactConverter.app, a simple, privacy-first tool to convert .vcf contact files to .csv format.
Upload your VCF contact file and instantly convert it to CSV. Perfect for importing into Excel, Google Sheets, or any spreadsheet app.
Also includes:
- Contact deduplication
- Data cleanup
- vCard QR Code Generator
- Contact Formatter
All feedback welcome!
 https://contactconverter.app

value: Show HN: Free VCF to CSV Converter – No Uploads, No Signup, 100% Local

author: akash-bilung


value: Udo

value: I made this to get into the habit of putting out little fun weekend projects again. I had so much fun playing around with it, maybe someone else will, too. It's a very, very simple tool that statistically and procedurally recreates an image.

value: Show HN: Mechanical Wonderbrush (Not AI)

author: Udo


value: chdavid

value:
Hey HN, I'm David, one of the creators of Shipper. My brother and I made this tool that builds full-stack software from a few prompts, so it's like talking to ChatGPT. Its purpose is to help you go from idea to product without starting from scratch. There are other no-code builders out there but they either require a technical background or become unreliable for long term projects (e.g. they lose context and break your project). Shipper writes code for you and asks for technical knowledge only if you're comfortable with it.
Technical details: I think you could also call it a vibe coding tool for beginners. It's built on Next.js + React, with an AI agent (via Inngest) that connects backend, frontend, database etc. That code is secure through E2B - we’ll soon build a Stripe integration for those who want to monetize.
Current challenges: 1. Getting AI to understand shorter prompts and ship the right product from the first prompt(s) 2. Managing app state + file structure after multiple edits 3. Keeping deploys editable without breaking past progress 4. Balancing the interface for devs and non-devs
Where this is going: We’re exploring version control support, prompt suggestions, an assistant for debugging + helping you around, and coming up with templates or themes for people to remix. There are other features we’re intrigued about, but we wanted to put this out early and hear what others would actually need.
If you’ve got ideas or feedback, I’m here for it!

value: Show HN: This builds fullstack apps by itself

author: chdavid


value: kashishkumawat

value:
Hi HN,
I’m Kashish, one of the co-founders of SpeedVitals, a platform for testing & monitoring website performance with a major emphasis on Core Web Vitals.
Until now, our platform has only focused on Synthetic/Lab testing, such as Lighthouse tests and TTFB tests. But now, we have developed a Real-User Monitoring platform that doubles up as a Web Analytics tool.
One major feature we have that most RUM tools lack is Performance Audits. Just like Lighthouse audits work on Lab test data, our audits work across all the real-user visits and gives suggestions on what task to prioritize first.
Just like our Lighthouse test, we also store a request waterfall for every page visit. This makes it possible to track different resources and 3rd-Parties that might be slowing down your website.
Our Web Analytics is privacy-friendly and doesn’t store cookies or any personally identifying information (PII).
Here’s the Demo of our Dashboard: https://rum-demo.speedvitals.com/
I’m looking forward to hearing your thoughts and feedback!

value: Show HN: SpeedVitals RUM – Real-User Monitoring and Analytics Built for Privacy

author: kashishkumawat


value:
I built Magic Sandbox, an AI app platform where your AI assistant can directly interact with Magic Sandbox apps published by the community.
Check out the demo video to see it in action: https://www.loom.com/share/4a1d4aee83a5485197898f537e1cb397
Or head to https://magicsandbox.ai to go through the onboarding tutorial.
Originally I set out to build a monetized version of OpenAI’s custom GPTs, where developers would earn money when users used their custom GPT. Eventually this evolved into a platform for AI powered apps, which expose not only context and capabilities to an LLM but also a UI to a human user.
Magic Sandbox apps execute in a strictly sandboxed iframe and communicate via postMessage to request to persist data or hit backend endpoints (what I call Functions), among other capabilities. Because Magic Sandbox provides the AI assistant and handles auth, persisting data, and payments, building apps is super easy - it’s a great platform for publishing (and monetizing!) your vibe coded apps.
Apps can expose a context function which is called when the user chats with their AI assistant with the app open - the context function returns a string which is added to the LLM’s prompt. Apps can also expose an API of functions that the assistant can call to fulfill the user’s request, or the assistant can generate arbitrary code to execute in the app’s sandbox.
I’d love to hear your thoughts and feedback - thanks in advance!
Kevin

value: Show HN: Magic Sandbox – An AI app platform


value: bimals

value:
I've been job hunting for a while and have been finding the process of updating CVs somewhat frustrating.
So I decided to build something that tries to improve the overall experience of CV management.
Taking inspiration from several existing platforms, I put this together over the past week.
Thanks for checking it out!

value: Show HN: Lebenslauf – A CV builder with Markdown, templates, and local storage

author: bimals


value: nkorai

value:
TLDR; what the title says: AWS CodePipeline events via MQTT, optionally with Tailscale support, vended as a CDK construct.
I've recently been working on a couple of side projects in AWS that are all CI/CD-ed via AWS CodePipelines and I ran into a problem: my PC is in my office on the 3rd floor but I hang out with my wife and dogs on the 1st floor between code sessions. When I push code out I have to wait for the deployment to flow through the pipeline so I'll head downstairs to burn that time while getting some quality time in with the family.
However! Sometimes I'll push something that breaks the pipeline, defeating the whole purpose of pushing and leaving. This then led to me getting paranoid/fixated and logging in via the AWS app on mobile a bunch to check in on the pipeline statuses -  a huge pain if you've ever done the following dance: log in via SSO through the app -> open authenticator for TOTP -> pick the correct account -> navigate back because it's not the correct account -> click through to code pipelines -> open the internal app browser since CodePipelines is not a natively supported view in the app.
Now yes - I could just hook up email notifications and if you are happy with that, that is completely fine. But I had it in my head that I wanted to be able to just glance up and take a look and get a quick status of: is something still running in the pipeline, was there a successful deployment in the last hour or so and also did the pipeline execution fail. So there's a future project here to build a little LED status indicator thing as an MQTT client of this MQTT broker solution that receives the various different pipeline statuses from various different accounts in a centralized place. This let's me side step having to set up AWS credentials for all of the different AWS accounts by just leveraging the Tailscale <-> local LAN networking.
This will certainly fall into an extremely monumentally tiny niche but thank you if you made it this far and sorry there was no mention of AI in this post (I joke I joke).

value: Show HN: AWS CodePipeline events via MQTT – with Tailscale support

author: nkorai


value: takigon

value:
Hi HN! I've been working on BookWith, an open-source e-book reader that integrates AI as your reading companion.
The problem: Traditional e-readers are passive. When you encounter something unclear, you have to context-switch to search for it. Your highlights and notes remain isolated, and you can't easily connect ideas across different books.
My solution: BookWith embeds an AI that maintains full context of what you're reading. It features:
- Context-aware AI chat: Ask questions about the current page/chapter and get instant answers
- AI podcast generation: Automatically converts book content into conversational podcasts using Google Cloud TTS
- Multi-layer memory system: Short-term (last 5 conversations), mid-term (summarized every 20), and long-term (vector search) memory that maintains continuity across reading sessions
- Smart annotations: 5-color highlighting system that AI can reference and analyze
Technical stack: Built as a fork of Flow (epub reader), with added LLM integration and vector database for semantic search. Supports multiple LLMs and languages (EN/JA/ZH).

value: Show HN: An open-source e-book reader for conversational reading with an LLM

author: takigon


value: snipo

value:
I was tired of sending videos one by one, so I've built a Chrome extension to send video notes from YouTube to NotebookLM in one click.
Here's how it works:
Open any channel, playlist, search result, or video on YouTube.
Click on the NotebookLM button and choose an existing notebook or create a new one.
The extension sends all available videos to NotebookLM up to the limit.
It is free to use and available for Chrome. I would love to hear your feedback!

value: Show HN: YouTube to NotebookLM – Send YouTube channels to chat with content

author: snipo


value: ColeMCP

value:
Hi HN,
We’ve launched Storm MCP: a secure discovery and access hub for Model Context Protocol (MCP) servers. Instead of hosting your own, connect to verified MCP servers through customizable gateways.
What’s special:
- Fast search for trusted MCP servers
- Custom API gateways: expose only the tools you want from each server (improves LLM tool selection, reduces token usage, and expands effective context window)
- Secure OAuth-based access and token authentication
- Full usage logs, rate limiting, and detailed monitoring
- Intuitive UI for technical and non-technical users
Built for AI agent devs, workflow builders, and indie hackers—anyone needing secure, focused access to external context, without managing server infrastructure.
We’re live at stormmcp.ai and eager for feedback. What pain points, features, or new MCP servers should we focus on next?

value: Show HN: Storm MCP – Custom Gateways for Verified MCP Servers

author: ColeMCP


value: Cyruskandilat

value: My friend and i built this because we were trying to just learn things in a more fun and interactive way. We think there's a community we could build around this? And there's definitely a lot of work to do. Super curious to see what you guys think, and where we can make the learning experience better.

value: Show HN: An AI tutor that can draw diagrams and explain concepts on a canvas

author: Cyruskandilat


value: Show HN: Milo, an AI podcast host dedicated to personal narrative


value: OsmanDKitay

value:
Hi,
I've been watching the rise of AI agents with a mix of excitement and dread. We're building incredible tools that can browse the web, but we're forcing them to navigate a world built for human eyes. They scrape screens and parse fragile DOMs.
We're trying to tame them to act like humans. I believe this is fundamentally wrong. The goal isn't to make AI operate at a human level, but to unlock its super-human potential.
The current path is dangerous. When agents from OpenAI, Google, and others start browsing at scale and speed, concepts like UI/UX will lose meaning for them. The entire model of the web is threatened. Website owners are losing control over how their sites are used, and no one is offering a real solution. The W3C is thinking about it. I decided to build it.
That's why I created AURA (Agent-Usable Resource Assertion).
It's an open protocol with a simple, powerful idea: let website owners declare what an AI can and cannot do. Instead of letting an agent guess, the site provides a simple aura.json manifest.
This gives control back to the site owner. It's a shift from letting AIs scrape data to being granted capabilities. We get to define the rules of engagement. This allows us to increase what AIs can do, not by letting them run wild, but by giving them clear, structured paths to follow.
A confession: I'm not a hardcore programmer; I consider myself more of a systems thinker. I actually used AI extensively to help me write the reference implementation for AURA. It felt fitting to use the tool to build its own guardrails.
The core of the protocol, a reference server, and a client are all open source on GitHub. You can see it work in 5 minutes:
Clone & Install: git clone https://github.com/osmandkitay/aura.git && cd aura && pnpm install
Run the Server: pnpm --filter aura-reference-server dev
Run the Agent: (in a new terminal) pnpm --filter aura-reference-client agent -- http://localhost:3000 "list all the blog posts"
You'll see the agent execute the task directly, no scraping or DOM parsing involved.
The GitHub repo is here: https://github.com/osmandkitay/aura
I don't know if AURA will become the standard, but I believe it's my duty to raise this issue and start the conversation. This is a foundational problem for the future of the web. It needs to be a community effort.
The project is MIT licensed. I'm here all day to answer questions and listen to your feedback—especially the critical kind. Let's discuss it.

value: Show HN: Aura – Like robots.txt, but for AI actions

author: OsmanDKitay


value: CeresBroker

value: Show HN: CRMs made me insane so I built one that doesn't suck for startups

author: CeresBroker


value:
Hey folks. Hope you're all doing well.
We released should a few weeks ago. It's a lightweight assertion library for Go with zero dependencies and expressive error messages. It was made to make debugging test failures easier, with a very simple and straightforward API.
We’re keeping things lean, focusing on practical asserts and a smooth developer experience. The current version (v0.1.0) is stable and ready for real-world use while we continue to improve it based on feedback.
Take a look at the docs and let us know what you think. Appreciate any feedback or suggestions.
Repo: https://github.com/Kairum-Labs/should

value: Show HN: Should – Expressive Assertions for Go


value: FeepingCreature

value:
Show upcoming opportunities for bridge days - periods where a small investment of days taken off can result in a large bounty of consecutive holidays.
Vibecoded in about two and a half hours with Claude 4 Sonnet- or rather, coded by Sonnet after my increasingly annoying requests. I have literally not even looked at the code.
After brückentage.info died, we didn't really have a good tool for this that also handled short workweeks.
Primary credit goes to the OpenHolidays API, who did all the annoying parts of this task for free.

value: Show HN: Bridge Days Calculator SPA

author: FeepingCreature

title: Show HN: Bridge Days Calculator SPA


value: calcsam

value:
Hi, I’m Sam, the cofounder/CEO of Mastra, the Typescript agent framework. I wrote a book on building agents and wanted to share it with HN.
The book is called Principles of Building AI Agents. Right now it has 34 chapters and 148 pages covering LLMs, prompting, agents, workflows, RAG, evals, multi-agent, tracing, deployment, MCP, tool use, and a few other topics.
The backstory here is that last October when we started working on Mastra we knew very little about AI engineering, and had to learn as we were building.
In January, we started going to local AI meetups. We met a lot of people who were where we’d been. Somehow, we turned from students to teachers. Whenever an explanation seemed to stick we’d go home and put it in our docs or blog.
One day my cofounder Shane turned to me and was like, what if you wrote a book on this stuff?
I was initially skeptical, but I tried writing an outline and it was pretty natural. So I spent the next couple weekends trying to hammer our posts into book form, and fill in the gaps. Surprisingly it worked. The initial version was 92 pages, in 27 very short chapters.
We were going to call it Principles of AI Engineering but a founder author friend convinced me to use the word Agents instead, so Principles of Building AI Agents it was.
The first reaction we got was surprise. We handed it out at the same meetups we’d gone to earlier.
We started seeing people post book reviews on social media. A couple founder friends told us the book changed their agent architecture or their interface design. An engineer turned videographer came to our office and shot a mini-documentary.
People asked us a lot how we’d keep the book up to date. We didn’t really know. Then MCP and Studio Ghibli happened, and we knew we needed to update it.
I sat down in May to write for another weekend. I ended up with another 50 pages. In addition to MCP and image gen, there was a lot of stuff to write about web browsing, workflow streaming, code gen, agentic RAG. We republished the book as the 2nd edition.
The single thing that people comment on the most is a page where I give a partial excerpt from the leaked Bolt.new system prompt. It’s the first time many people have read a production-grade prompt.
The book has become pretty popular recently. We've given out thousands of copies at AI meetups and conferences, and it's even gone viral on LinkedIn (of all places).
In terms of actual mechanics, I wrote the book in Notion, then pasted it into a desktop app called Vellum, which spits out ePubs and PDFs. Amazon’s KDP lets you upload those and publish your book (they’ll print it for you). Having a nice CI/CD helped, as did having docs and blog posts as sort of intermediate artifacts in a content pipeline. It meant that when I was writing I could pull from a warm cache. The process felt O(n) rather than O(n log n).
Enjoy reading, and please let me know what you think! (You probably just want to download the book and read it in your favorite reader, rather than use Github's PDF reader)
I’ll be starting on a third edition soon, and I want to know what topics feel like they’re missing, if anything feels outdated, and so on.

value: Show HN: Principles of Building AI Agents book [pdf]

author: calcsam


value: Show HN: I developed the logging, notification back end for your app


value: secularchapel

value:
What's up HN!
I built a TypeScript Language Service plugin that adds native support for importing .yaml and .yml files with full type inference and autocomplete in TypeScript 5.
I made this because I wanted to store LLM prompt templates outside of my source code, but JSON was impractical due to the need to escape every newline and quote, which reduces readability for large texts. I wanted to use YAML, but TypeScript doesn't provide intellisense for YAML files by default. This plugin solves that issue.
Happy to hear your feedback or suggestions! The project is open source (MIT) and open to contributions.

value: Show HN: TypeScript YAML Plugin – Typed .yaml imports with autocomplete

author: secularchapel


value: AppMaestro

value:
After getting tired of spending 20+ minutes writing one email, I spent 7 days building a Chrome extension that helps me draft clear, confident emails in under 30 seconds — powered by Gemini 2.5 Pro.
I call it Email Draft Accelerator. It's a lightweight Chrome extension with a simple popup interface (popup.html, style.css, popup.js) and uses manifest v3.
It’s AI-powered by Gemini 2.5 Pro, but also supports Gemini 2.5 Flash, Flash-Lite Preview, and even the older 2.0 and 1.5 Pro versions (via API calls). No server—just local front-end + Gemini API.
Here’s how I use it daily:
I type a few ideas → it expands them into a full, personalized email.
I choose a tone (professional, casual, persuasive).
I tell it who I’m writing to → the AI adapts the message for them.
It helps me move fast, sound confident, and stop overthinking. Total game-changer for solo builders like me.
I’d love feedback from other developers who write lots of emails but hate the drag. You can try it here:https://chromewebstore.google.com/detail/email-draft-acceler...

value: Show HN: I Built an Extension That Writes Emails in Seconds Using Gemini 2.5 Pro

author: AppMaestro


value: I built a small project showing how to build an agentic PC builder in Golang using the Agno framework and RunAgent. The agent takes a user’s budget and performance needs, pulls real-time pricing data, and streams personalized build recommendations—live as it thinks.<p>The cool part? You can write your AI logic in Python and consume it natively in Go with full streaming support. It is a great example of cross-language agent interoperability.

value: Show HN: Built an Agentic Gaming PC Builder


value: hendricius

value: Show HN: I open-sourced my framework for debugging sourdough

author: hendricius


value: trendschau

value:
Hey Show HN, what started as a small weekend project turned into 2,000 lines of code.
I know there are browser plugins and Python scripts out there to turn your ChatGPT archive into something useful. But if you’re looking for an all-in-one solution, this might be interesting for you.

value: Show HN: I built a plugin to create a ChatGPT archive with Typemill CMS

author: trendschau


value: ricokahler

value: Show HN: Type-safe, structured communication between workers and parents

author: ricokahler


value: AndBoh

value: Show HN: Indicatix – Crypto Market Analysis and Trading Signals

author: AndBoh


value:
Over the past few months I kept switching between pgvector in production and SQLite-VSS / DuckDB in notebooks. Every swap meant spending time in the syntax land.
Vectorwrap hides those differences behind one tiny Python adaptor: create a collection, upsert, query — then change only the connection string when you switch databases.
Here, I have tried to solve my direct pain point, so curious if this has application beyond my usecase.
What’s inside
Backends: Postgres 16 + pgvector, MySQL 8.2 (Vector Store), SQLite VSS, DuckDB VSS
Same filter dict syntax on every engine (SQLite uses adaptive oversampling internally)
Repo
https://github.com/mihirahuja1/vectorwrap
I’d love some feedback on API design, missing edge cases, or reasons you wouldn’t adopt something like this. Thanks for taking a look!

value: Show HN: Vectorwrap: one line vector search for Postgres, MySQL, SQLite, DuckDB


value: coinfused

value: Show HN: Belgian parliamentary data, scraped and published

author: coinfused


value: kuberwastaken

value:
Just upload a panoramic image and this tool splits it into multiple 3:4 1080x1440 parts
Note: It is a fork, the original broke it down into 4:5 (1080x1350) - Older Instagram post size and improved the UI :)
Code is licensed under GNU General Public License v3.0
and is at: github.com/Kuberwastaken/panosplitter

value: Show HN: Panosplitter – a web app that turns panorama pics to insta post size

author: kuberwastaken


value: eschluntz

value: I was frustrated with the existing caltrain websites / apps, so I made a super minimalist one to answer the actual question I have: how long until the next train?<p>If you're in SF it grabs the next southbound trains, otherwise, the next northbound.

value: Show HN: When is the next Caltrain? (minimal webapp)

author: eschluntz


value: khasanov

value:
Hey HN, Today I’d like to show what I’ve recently built with my 2 friends.
We’ve called it Nova.
The idea is to built all-purpose AI Voice Assistant, which is able to interact with mail,  to-do apps, messengers and socials, task trackers, apps like UberEats, Notion and some other daily apps.
How we decided to work on it: We’ve recently read YC Request for startups Summer25 and were inspired by the idea of AI Voice Assistant for Mail by YC partner Tyler Bosmeny.
What we’ve got: We’ve gone a bit further than Assistant for mail only and connected Gmail, Todoist, Google Calendar, and HackerNews(other integrations including X, Reddit, Whatsapp, UberEats are in progress).
Lots of things must be tested and fixed, but we already released the first version of our Voice Assistant for Web and we plan to build an IOS and Android apps.
You can try it here: https://novavoice.app
You can read more about Nova and watch the demo video here: https://landing.novavoice.app/
Appreciate your time and thoughts — curious to hear your reactions and feedback. Thanks!

value: Show HN: Nova – AI-agent for voice-control over daily apps

author: khasanov


value:
Hey HN,
I’ve been working on a tool called MCPJungle - an open-source, self-hosted MCP Registry + Gateway that helps MCP clients (like Claude, Cursor, custom AI agents) connect to multiple MCP servers through a single endpoint.
MCP (Model Context Protocol) is gaining adoption as a standard for tool-calling in LLMs, but managing multiple servers (auth, tool discovery, ACLs, observability) is still a nightmare - especially across teams in an org.
MCPJungle tries to fix that:
- Expose all your MCP servers behind a single `/mcp` endpoint
- Use ACLs to control which clients can view & call which MCP tools
- Keep track of all your MCP clients & servers from one central place.
Individuals can run it locally for maximum privacy. Orgs deploy it as a shared gateway for all their AI agents.
It’s written in Go & distributed a single binary.
You can run it via Homebrew or Docker. No auth or config needed by default - it’s meant to be friction-less for developers.
Still early, but the current version is stable and being used by a few early devs.
Would love to hear feedback, critiques, or ideas. Happy to answer any questions here too.
Thanks!

value: Show HN: MCPJungle – self-hosted Gateway for connecting AI Agents to MCP tools


value: dominis

value:
Most site blockers work by blacklisting distractions. That never worked for me, the internet is too big, and there’s always something new to waste time on.
I wanted the opposite: allowlist‑only browsing. Block everything by default, and explicitly allow only what I need.
So I built Sinkzone: a local DNS forwarder with two modes:
Monitor mode: lets all traffic through, but logs every domain so you can decide what to allow.
Focus mode: only allowlisted domains resolve; everything else is blocked (NXDOMAIN).
It’s open source, written in Go, and runs locally on macOS, Linux, and Windows. Works a bit like Pi‑hole, but instead of blocking ads, it blocks everything unless you say otherwise.
I’m curious if this would be useful in your workflow. If you try it, please let me know what breaks, what works well, and what you’d improve.

value: Show HN: Sinkzone DNS – Forwarder that blocks everything except your allowlist

author: dominis


value:
Hi HN,
I built XRAY MCP after discovering that AI assistants were scanning my projects with plain grep and guessing. I tried direct tree-sitter integration and language servers; both felt heavy for a lightweight tool.
ast-grep hit a sweet spot: syntax-aware search in a single binary. XRAY MCP wraps it behind three endpoints—map, find, impact—so a model (or human) can answer questions like “what breaks if I change this function?” on demand.
It’s stateless, supports Python/JS/TS/Go, and installs quickly.
Repo: https://github.com/srijanshukla18/xray
Would love to know your thoughts!

value: Show HN: XRAY MCP – AST-grep wrapped in a tiny server for code-aware AI


value:
I've made an open-source microframework for creating command-line (CLI) applications in the Zig programming language.
It's called Chilli, and it currently provides the following features:
- A declarative API for defining nested commands, flags, and positional arguments.
- Type-safe parsing of arguments from the command line and environment variables.
- Automatic generation of formatted `--help` and `--version` output.
- Support for command aliases, persistent flags, and other common CLI patterns.
You can find the project on GitHub: https://github.com/habedi/chilli

value: Show HN: Chilli – A lightweight microframework for CLIs in Zig


value: dawidpereira

value:
I built Quetty - a fast, terminal-based Azure Service Bus manager in Rust.
Frustrated with switching to Azure Portal for simple queue operations, I wanted something that lives in my terminal. It supports peek/send/receive/delete operations, handles dead letter queues, and runs everywhere including ARM devices.
Tech: Rust + tokio + ratatui
GitHub: https://github.com/dawidpereira/quetty
Demo: https://github.com/user-attachments/assets/f52fb894-47a5-428...
I would kindly appreciate all feedback.

value: Show HN: Quetty – Cross-Platform Azure Service Bus Terminal Manager in Rust

author: dawidpereira


value: rokbenko

value: Show HN: Tool that helps you launch your startup 10x cheaper and 1,000x faster

author: rokbenko


value: Show HN: A Fair Trade Calculator for Grow a Garden (Roblox) Players


value: akhayam

value:
Hello HackerNews. Fawad (@fawadkhaliq) and I are co-founders at Chkk (https://www.chkk.io/). We built a tool to make upgrades of Kubernetes and open-source projects (like Istio, Kafka, Postgres, Keycloak, Vault, …) safer and less painful by generating a machine-verified plan before you touch dev, staging or prod. If you've ever delayed upgrades because the unknowns felt too risky or coordination felt too heavy, Chkk is built to help with that.
Upgrades get delayed across teams, not from fear of work but because the work never lands. Feature deadlines win. No one wants to risk prod. Dependencies on app teams introduce friction. Even known steps turn into risky, slow, custom toil.
We don’t believe Kubernetes LTS (https://news.ycombinator.com/item?id=38516717) is the answer, as AWS, GCP and AKS are charging 6x more for extended / long-term support of clusters not upgraded in time. Forced upgrades are also being threatened, with GKE even enforcing them.
We built Chkk so platform teams can upgrade safely and each team doesn’t have to repeat the same toil over and over again.
Chkk talks to your cluster via a CLI and generates an Upgrade Assessment, which flags outdated versions, deprecated APIs, misconfigured PDBs, what you need to upgrade, and recommends the next version that your open-source projects should upgrade to.
From that it creates a tailored Upgrade Plan - a safe, ordered workflow combining breaking changes, CRD diffs, Helm values changes and readiness checks.
We cover EKS, GKE, AKS, and on-prem Kubernetes flavors and also have coverage for 100s of open-source projects. We’ve been working with customers for more than a year and have seen Chkk tangibly reduce upgrade toil and catch real issues (https://www.chkk.io/blog/case-study-dexcom, https://www.chkk.io/blog/case-study-yoti).  We’ve also helped customers that were years behind on their upgrades because a complex open-source component got orphaned when its owner left the company.
We have a free tier which you can try here: https://cli.chkk.io/
You can read more here: https://docs.chkk.io/overview/understanding‑chkk
We’ve worked hard to make it easy to get started. Just download our CLI and run: `chkk start`.
This command walks you through login, cluster registration, then requests an Upgrade Assessment. It runs locally, no elevated permissions, free to use.
We’d love feedback, especially from people running multi‑cluster stacks and juggling upgrades under time or cost pressure.
We’ll be in the thread all day—ask us anything.

value: Show HN: Chkk – Safer Upgrades for Kubernetes and Open-Source Projects

author: akhayam


value: badlogic

value:
Claude Code has a high release cadence. With that come changes to the system prompt and tools. This often noticably changes the model's behaviour in established workflows.
I wanted to get easy insight into those changes, so I can potentially counter steer. cchistory is what came out of this effort.
Dev log here:
https://mariozechner.at/posts/2025-08-03-cchistory/

value: Show HN: Cchistory – track Claude Code prompt and tool changes

author: badlogic


value: NinoMuna

value:
As Ops Manager I got super frustrated about team members who never marked tasks as completed, no matter where I assigned them - so I always had to text and check. Almost every team has a parallel WhatsApp group or discusses on chats, and that's why I launched Done-Copilot - and understandably, these people are always on the go, without a laptop and without the time to click and select fields.
Done-Copilot is the first task manager that runs completely on WhatsApp, through a dedicated Chatbot, where you can manage all your tasks and teams directly in a chat.
It avoids additional apps needed and long onboarding time, it's already in almost everyone's phone and completely removes the friction of use. Just register and start chatting.
It can be used
- For personal tasks
as it has reminders, agenda, to-dos and notification logic (working on integrating Calendar to manage events too).
- For Team Management
you can create and assign tasks to specific members, areas, teams and with really complex logics (E.g. All the Ops Managers in DC needs to perform task x) - each of them will receive a task, and as soon as they say that's completed, you are being notified.
You can also access to a web dashboard to review flows, tasks, teams and performances, but almost everything can be done just through a message.
I'm releasing it because tests went really well, it can be used in a lot of situation and I hope it can help people on a daily basis, removing friction and the need to use 10 different apps.

value: Show HN: Manage all your tasks and teams directly from WhatsApp

author: NinoMuna


value: yiyingzhang

value:
We've made gpt-oss and Claude-Opus-4.1 available to use for free on Gensee! https://gensee.ai With Gensee, you can seamlessly upgrade your AI agents to stay current:
- One-click swap your current models with these new models (or any other supported models).
- Automatically discover the optimal combination of models for your AI agents based on your preferred metrics, whether it's cost, speed, or quality.
Also, some quick experience with a Grade-7 math problem that most previous models fail to get the correct answer. Opus-4. gets it partially right (the correct answer is A, Opus-4.1 says not sure between A and D).
"Some birds, including Ha, Long, Nha, and Trang, are perching on four parallel wires. There are 10 birds perched above Ha. There are 25 birds perched above Long. There are five birds perched below Nha. There are two birds perched below Trang. The number of birds perched above Trang is a multiple of the number of birds perched below her. How many birds in total are perched on the four wires? (A) 27 (B) 30 (C) 32 (D) 37 (E) 40"

value: Show HN: Free access and one-click swap to GPT-OSS and Claude-Opus-4.1 on Gensee

author: yiyingzhang


value: Mesterniz

value: Show HN: Why Personalization Is the Next Big Thing in AI

author: Mesterniz


value: kunalphogat

value:
Hey HN
I’m Kunal, co-founder of Aspyriz. We just launched an AI-powered platform that helps founders go from idea to MVP in seconds — without writing code or managing multiple tools.
Key features:
-  Sili Sense: Validate ideas, generate names & positioning
-  Sili Sandbox: Build full-stack MVPs with live preview in under 30 seconds
-  Sili Canvas: Auto-generate landing pages, UI, decks, avatars & images
-  AspyrCheck: Startup health scanner to identify early-stage blind spots
-  Built-in voice/video chat and a private founder community
Every output is fully customized to the user's startup — no generic templates, no copy-paste fluff.
Would love your thoughts, feedback, and ideas on how we can improve!
Link: https://aspyriz.com

value: Show HN: Aspyriz – Build your MVP in seconds with AI (no-code founder platform)

author: kunalphogat


value: vunderba

value:
Glyphshift is a browser extension that randomly replaces words with their phonetic or symbolic equivalents based on user-selected writing systems and frequency settings.
So far it supports ASL, braille, katakana, hiragana, morse code, hexadecimal, roman numerals, rhyming slang, and most importantly vorticon. You're also welcome to submit pull requests for additional ones.
Now you too can have the world's most useless superpower, the ability to read braille VISUALLY. The demo page also has an interactive feature so you can see it in action without having to install it first.
It's also fully open-source and on the Firefox / Chrome stores.
https://github.com/scpedicini/glyph-shift

value: Show HN: Glyphshift – A Browser Extension to Learn Phonetic Systems

author: vunderba


value:
I created faKeTime, a small Kotlin library to make testing time-dependent code easier and more reliable.
Time-dependent tests often cause flaky failures. With faKeTime, you can:
Freeze time at a fixed instant (FakeDateTime.fixed(...))
Auto-advance time on each call (coming soon)
Manually adjust time (coming soon)
Currently JVM-only. Kotlin Multiplatform support is in the works.
Source and docs: https://github.com/matcha4smiley/faKeTime
I’m happy to hear feedback or contributions.

value: Show HN: FaKeTime – A Kotlin library for easy fake time control in tests


value: theelderwand

value: I have been wanting to build an analysis tool to compare stocks with Dividend Reinvestment enabled. I was able to accomplish with zero code all through Claude Sonnet 4 and VS Code.

value: Show HN: Stock Compare with Dividend Reinvestment

author: theelderwand


value: ducksbunny

value: I have recently added a section for fraction addition, subtraction, multiplication, and division.<p>Please check it out and let me know what you think. Thank you!

value: Show HN: QuickMaffs – Practice Fraction Addition

author: ducksbunny


value: spineight

value:
After spending 2-3 hours daily on LinkedIn job searches and missing opportunities due to slow alerts (4+ hour delays), I built a monitoring system that checks frequently and sends instant Telegram notifications.
The key insight: timing matters more than perfect applications. Getting notified quickly after posting vs hours later is the difference between being applicant #5 vs #89.
Setup is dead simple - describe what you want in plain English ("Senior Python dev, fintech, remote OK") and AI handles the filtering. No complex keyword forms.
6+ months of real usage results:
- Found current role within 2 hours of posting
- 90% reduction in daily search time
- Zero irrelevant notifications
- Enhanced intelligence: competition data, posting timestamps, repost detection
Tech stack: Python, database layer, Telegram Bot API, AI integration
The system covers major software development roles and has been stable for 6+ months. Made it available for others since it solved a real problem.
Try it: Search "JobsPulseLatestBot" on Telegram
Looking forward to hearing about others' job search automation experiences.

value: Show HN: AI-powered job search automation that saved me 90% search time

author: spineight


value: Show HN: Text Symbols

title: Show HN: Text Symbols


value: Jonovono

value:
Been using Cursor and Claude Code to build a pretty involved electron browser.
Wanted a little UI for Claude Code. Found I would always go to tiktok or instagram while waiting for the agent to complete my code. Wanted to play around with that idea a bit further so I decided to fork my electron app and make a little environment for vibe coding, that provides activities to do while you are waiting for the ai to code. Listen to music, browse HN, watch tbpn and play a massive multiplayer game.
At any rate, if you are building an electron app, I can confidently say it's the best starter template to go off. Using Drizzle, effect ts to give strongly typed ipc bridge. On github: https://github.com/longtail-labs/slide.code
This uses the claude code sdk for typescript, which doesn't support everything the cli does so it may feel a bit limited if you are a CC power user.
Anyways, open to any feedback and any PRs!

value: Show HN: Graphical Vibe Coding Environment (VCE) for Claude Code

author: Jonovono


value: tscepo

value: I've been working on getting AI to consistently produce clean, good-looking apps and sites. It's available over email now—no signup needed. Just email (see title) and get design variations in your inbox. Let me know what you think!

value: Show HN: Email design@trylayout.com to generate UI

author: tscepo


value: Fr-e-d

value:
I use Claude, Gemini and Kimi daily in Cursor to build real software. But I kept hitting the same limits:
– The AI forgets everything between steps
– Architectural decisions get lost
– Same regressions, over and over
So I stopped trying to write better prompts, and started building structure.
The result is a lightweight, markdown-based framework that turns your LLM into a reliable, context-aware assistant. It includes:
– A codified rule system (project constraints, architecture, best practices)
– A development workflow from PRD to retrospectives
– Memory that evolves over time
– Human-in-the-loop validation at each step
It’s completely open source and model-agnostic. I use it daily, and it changed how I collaborate with AI.
Happy to share use cases or technical details. Feedback very welcome.

value: Show HN: Framework to structure LLM dev workflows with Markdown-based protocol

author: Fr-e-d


value: uaghazade

value:
as a solo builder i was struggling to create docs for all my saas projects. there aren’t many good options out there. open-source ones and mintlify all require code, and that takes too much time. i tried doing it in notion but it never looked like proper docs and didn’t feel professional. gitbook is the only one left and like mintlify, its pro plans are too expensive for a solo maker.
so i built NoDocs.io . its nocode docs builder. you can create docs for your saas or project even with a free plan using the built-in nodocs subdomain. it only shows a small nodocs branding for reach more people.
other plans includes unlimited projects, pages, custom domain, and searchable docs.
you can try it free and if you have feedback i’d love to hear.

value: Show HN: I Built No-Code Documentation Builder

author: uaghazade


value: gargigupta

value:
Hey HN! We built a multi-agent Real Estate team that provides detailed property listings, market insights, and investment analysis all in one interface without you having to search multiple websites.
It has 3 agents working sequentially:
1. Property Search Agent finds properties using direct Firecrawl integration
2. Market Analysis Agent gives concise market trends and neighborhood insights
3. Property Valuation Agent gives brief property valuations and investment analysis
Features:
1. Searches across Zillow, Realtor.com, Trulia, and Homes.com simultaneously.
2. Extracts detailed property information including address, price, bedrooms, bathrooms, square footage, and listing URLs.
3. Get current market conditions, price trends, neighborhood analysis, and investment potential assessments.
4. Two Deployment Options: Cloud version with Gemini 2.5 Flash or local version with gpt-ss 20B via Ollama
Open-source code: https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/a...
Step-by-step tutorial with demo: https://www.theunwindai.com/p/build-an-ai-real-estate-agent-...
Would love you all to try it out, give feedback, explore more projects in the Awesome LLM Apps repo (https://github.com/Shubhamsaboo/awesome-llm-apps) and Unwind AI (https://www.theunwindai.com/), and star us on GitHub if you like it

value: Show HN: AI Real Estate Agent Team (100% Open-Source with Free Tutorial)

author: gargigupta


value:
We built George because we loved handling day-to-day work in Slack, but wanted a little bit of structure without any of the overhead of a ticketing system.
George is a lightweight assistant that lives in Slack. It tracks topics, gives visibility on who's on what, and steps in before topics drift.<p>Still early and refining, would especially love to hear from teams who use Slack as their main work hub.

value: Show HN: George, a Slack-native assistant for teams that hate ticketing


value: heysound

value: Looking for early users: we ship same-day on feature requests and can adapt the tool to your workflow fast. Try it and let us know what’s missing. Happy to make it work for your team. Curious what HN thinks about the UX, install friction, or any must-have features before ditching the daily standup.

value: Show HN: AsyncStatus CLI – post status updates from your terminal (open-source)

author: heysound


value: PraiseAsuquo

value:
*Sylvio AI* is an intelligent, all-in-one developer companion app that brings together powerful AI tools to streamline software development, content creation, debugging, documentation, and learning—all in one place. Whether you're a solo indie hacker, student, or experienced developer, Sylvio AI helps you ideate, build, and polish your projects faster and smarter with zero setup or cost.
---
##   1. *Who is the App For?*
* *Developers* (from beginners to experienced engineers)
* *Students* learning programming and computer science
* *Startup founders / indie hackers*
* *Technical writers / educators*
* *Freelancers / dev content creators*
* *Product managers & DevOps professionals* (for planning and documenting)
---
##  2. *What Are Its Benefits?*
* Saves *time* by automating repetitive dev tasks
* Helps you *learn* and understand concepts (e.g., regex, errors, snippets)
* Boosts *productivity* through centralized tools
* Improves *code quality* and project documentation
* Simplifies *project planning and communication*
* Offers *one-click generation* for common dev tasks like README.md, changelogs, boilerplate, etc.
* 100% *free and ready-to-use*
---
##  3. *What Problem Does It Solve, and How?*
###  Problem:
Developers constantly jump between ChatGPT, Stack Overflow, GitHub, code snippet sites, name generators, planning boards, and more—fragmented workflows slow down productivity and creativity.
###  Solution:
Sylvio AI *centralizes all essential developer tools in one smart platform*, giving you focused, pre-built tools tailored specifically for developer workflows.
Examples:
* Instead of prompting ChatGPT 10 different times, generate a README, app name, changelog, and boilerplate instantly from your project description.
* Copy-paste an error message, and Sylvio explains it and offers real-time fixes.
* Convert code across languages (e.g., JS → Python) with one click.
* Create flashcards and summaries from tech docs to study or teach.
---
##  4. *Why Not Just Use ChatGPT Instead?*
Using ChatGPT is flexible, but:
| ChatGPT                      | Sylvio AI                                                                |
| ---------------------------- | ------------------------------------------------------------------------ |
| Requires prompting skill     | Comes with structured tools/templates                                    |
| General-purpose              | Built specifically for devs                                              |
| No memory or project context | Organizes tools per project                                              |
| Manual formatting            | Auto-generates docs/boilerplate in clean formats                         |
| No bundling                  | Combines tools into workflows (e.g., App Planner → README → Boilerplate) |
*Sylvio AI* offers *context-aware*, plug-and-play tools that eliminate the need to engineer prompts or babysit the model—everything is *purpose-built* and fast.

value: Show HN: Sylvio AI – Your Smartest Quiet Teammate

author: PraiseAsuquo


value: usman-m

value:
We built Claudespace to avoid conflicts when running Claude Code alongside our dev flow. It uses git worktrees, remapped ports, and env isolation to spin up multiple local instances.
Blog post: https://operator.xyz/blog/claudespace

value: Show HN: Claudespace – Run isolated Claude Code instances locally

author: usman-m


value:
I just launched LessonQuill, an AI-powered tool that helps teachers and content creators generate structured, curriculum-aligned lesson notes in minutes.
Built entirely solo and fully bootstrapped, LessonQuill is designed to make lesson planning smarter, faster, and less stressful — especially for educators in high-pressure or time-constrained environments.
Key Features:
Input your topic, class level, and duration — get a full lesson instantly
Smart curriculum alignment (built with teachers in mind)
Voice + video explanations (coming soon!)
Built for speed, clarity, and ease-of-use
I made this after seeing how much time teachers (myself included) spend planning lessons, especially under standardized systems like New Horizon. The goal is to free up their time to actually teach, not just prepare.
Would love feedback, especially from educators, founders, and indie hackers.
Let me know what you'd improve, change, or kill.
https://lessonsquill.com

value: Show HN: LessonQuill – AI-powered lesson note generator for teachers and writers


value: mikhaeel

value: Just describe what you're building (or enter your website) and Tapbam will find the right product knowledge from the smartest product people to help you with your project.

value: Show HN: Tapbam – The smartest product people work for you

author: mikhaeel


value: fazkan

value:
Hey HN,
I built ChangelogHub (https://changeloghub.com) to automate something that is always last on my list for every release: writing clean and human-readable changelogs. Human-readable being the key phrase here.
Writing changelogs manually is tedious, especially for backend/infrastructure changes that users never see but matter a lot. I wanted something that didn’t just rephrase commit messages, but actually understood the code diffs.
HOW IT WORKS:
- Analyzes diffs from PRs or direct commits
- Summarizes the changes using OpenAI (code-diffs+custom prompt + heuristics)
- Organizes entries by date or tag
- Hosts a live changelog page (e.g. https://magemaker.changeloghub.com, an example changelog for one of my open-source project)
- Rebuilds automatically on every push or merge
VIDEO DEMO of it in action: https://youtu.be/bntgkZGncZ4
TECH STACK:
- Frontend: Next.js
- Backend: Node.js, GitHub App (REST + Webhooks), custom worker to spinup a page. Cloudflare for domain routing
- Diff analysis: git CLI + a few heuristics to split changes across files and summarize them meaningfully
- LLMs: Currently uses OpenAI AI, with batching and retry logic to reduce latency + cost
Some use cases:
- Solo builders who forget what they shipped, or write too technically (me )
- Teams with frequent infra work that doesn’t show up in traditional release notes
- OSS maintainers who want hosted changelogs without managing Markdown files or changelog bots
I’d love feedback from other devs:
- What would make this more useful for your team?
- How should I improve the diff-to-summary heuristics?
- Should I support other hosts (GitLab, Bitbucket)?
It’s free for one closed-source repo and multiple open-source repos, and I’m planning to keep it indie-friendly.
I also plan to send weekly newsletter, similar to launchweek, to highlight the latest releases of projects. So the projects get free eyeballs/marketing.
Thanks in advance for checking it out

value: Show HN: Changeloghub – Automatically create beautiful changelogpages (beta)

author: fazkan


value: Uplyt

value:
I'm a solo founder and I've been building Uplyt.io : a tool that connects to your Google Analytics, Google Ads, Meta Ads, and Search Console, then turns all that data into clear, actionable insights. No setup, no dashboard overload, just clarity.
Why I built it:
After years helping SMBs and marketing teams, I saw the same problem over and over: GA4 and ad platforms are too complex for 95% of people. Most users don’t need more data — they need direction. Uplyt is my take on solving that.
Once connected, Uplyt gives you:
– Insights like "your SEO conversions dropped -22% on mobile last week – here's why"
– Smart dashboards (traffic, ROAS, landing pages, anomalies, etc.)
– Actionable missions (optimize this page, fix this campaign, etc.)
– Team collaboration (share insights, assign tasks, track KPIs)
I just launched the public version after ranking #1 on Product Hunt. It’s early, still bootstrapped, and evolving fast — I'd love your honest thoughts:
Does this solve a pain you’ve experienced?
What would make it indispensable to you?
Would you pay for it — and if not, what’s missing?
Thanks in advance for your feedback. I'm here and reading everything.
— Julien

value: Show HN: AI reads your GA4, SEO, Ads data and gives you weekly missions

author: Uplyt


value: ybeerisha

value: Before You Buy is your personal AI shopping assistant. Get instant insights into any product — from pros & cons and honest review summaries to alternative stores and live price tracking. We help you decide before you buy.

value: Show HN: Before You Buy: An AI Assistant That Makes Shopping Less Risky

author: ybeerisha


value: arifliftos

value: Show HN: CSV Mail Sender – Send personalized email campaigns from a CSV

author: arifliftos


value: nijfranck

value:
I’ve been working solo on an AI sales outreach agent that handles the entire cold outreach process — from finding leads to writing and sending emails, to following up until there’s a reply.
The problem I wanted to solve: I was spending hours crafting personalized cold emails and still seeing mediocre results. I knew the process could be broken down into repeatable patterns — targeting, messaging, timing — and optimized with data.
What GoAgentic does:
- Finds and qualifies leads based on your criteria
- Generates highly personalized emails that don’t read like AI spam
- Sends and tracks them with deliverability safeguards
- Lets you experiment with messaging and timing to find what works
- Stops when there’s a reply (so you only step in when it matters)
Would love feedback from HN on:
- How to make this more valuable for technical founders who hate doing sales
- The biggest red flags you see with AI-driven outreach tools
- Whether you’d prefer a “set it and forget it” model or more manual control over the AI’s actions
Link: https://www.goagentic.com/ - it's free to try it out!

value: Show HN: GoAgentic – AI that does cold outreach better than I ever could

author: nijfranck


value: Show HN: Quiz Builder GPT

title: Show HN: Quiz Builder GPT


value: hugs

value: Show HN: 3D Chess

author: hugs

title: Show HN: 3D Chess


value:
Hey HN!
I've been building a little web-based word game in my free time and would really appreciate your feedback!
Right now I have a demo of the core functionality built out for folks to play. I want to gauge whether people are interested and what would make it more fun to play. (For example, should I do daily challenges? Or provide a fixed set of challenges?)
I'd really appreciate your feedback! Thanks!
P.S. I put together a little survey with specific questions but any and all feedback is appreciated: https://docs.google.com/forms/d/1mv8p0ctr5QOpC0iJSB6XHnGYF9K...
Thanks!

value: Show HN: A game where you rebuild crosswords from tiles (Demo)


value: muslimgauzer

value: Show HN: Adding 3D Visualization to a Web NES Emulator

author: muslimgauzer


value: Get image dimensions, resize, compress, and view image stats all in the terminal. There's no feature bloat or complicated commands.

value: Show HN: Built an image processing CLI to optimize images for the web


value: himalayangiant

value:
Title: I Built Economic Safety Mechanisms for AI - Seeking Feedback
I have implemented the Reputation Circulation Standard (RCS), which uses exponential decay (like radioactive decay) to make harmful AI behavior economically irrational.
The key insight: instead of trying to control AI, create environments where beneficial behavior is the only stable strategy. Power accumulation becomes mathematically impossible.
Technical details:
- Smart contracts for reputation circulation
- Consensus algorithms for detecting divergence
- <5% performance overhead
- Scales with intelligence level
Nassim Taleb endorsed the approach. Already implemented a simpler version for onchain recording of reputation for Animoca Brands - Moca chain.
Now raising funds to deploy at AI labs before GPT-5: https://manifund.org/projects/preventing-ai-catastrophe-thro...
Paper: [SSRN coming] https://deepthinker.xyz has paper.
Demo available under NDA.
Would love technical feedback from this community.

value: Show HN: I Built Economic Safety Mechanisms for AI

author: himalayangiant


value:
I've recently created a UI for my open-source project called insta-infra so now you can run any service with one click. This has been part of my journey of making it as simple as possible to run any service in my local laptop.
Github repo: https://github.com/data-catering/insta-infra
Demo of the UI: https://data-catering.github.io/insta-infra/demo/ui/

value: Show HN: Insta-infra – One click start any service


value: devxiyang

value:
Hi HN!
I built CropImages.co, a super simple, privacy-friendly image cropping tool designed for speed and usability. It’s made for anyone who just wants to crop an image without installing anything or uploading to slow/overloaded editors.
Why I made it
Most online image editors are overloaded with features, slow to load, or require uploading your image to the cloud. I just wanted a tool to crop an image quickly, in-browser, and move on. So I made CropImages.co.
Features
 •  Crop any image in your browser (no upload required)
 •  Super fast – loads instantly
 •  Privacy-first – everything runs locally
 •  Pixel-precise cropping and drag handles
 •  Output: download as PNG or JPG
Tech stack
 • Built with TypeScript + HTML Canvas
 • Lightweight, mobile-friendly
 • No dependencies or tracking scripts
Try it here: https://cropimages.co
It’s open to feedback – I’d love to hear what you think or what features you’d want next!
Thanks for checking it out

value: Show HN: CropImages – A Minimal, Fast Image Cropping Tool for Web

author: devxiyang


value:
Hi HN!
I made CircleCropPhoto.com, a simple and fast tool to crop any image into a circle—ideal for profile pictures, social avatars, or design use. No signups, no bloat, just clean cropping.
Why I built it
I needed a quick way to turn rectangular images into perfect circles for social media profiles and app designs. Most tools made it harder than it needed to be—or required uploading to a slow server. So I built a fast, privacy-friendly alternative.
Features
 •  Instant circle crop – just upload and drag
 •  Preview + transparent or solid background options
 •  100% client-side – image never leaves your browser
 •  Export as PNG with one click
 •  Loads fast, works on mobile and desktop
Tech stack
 • TypeScript + Canvas
 • Pure client-side, no server, no analytics
 • Lightweight & mobile responsive
Try it out: https://circlecropphoto.com
Let me know what you think, and I’m happy to hear suggestions for improvements or features you’d like to see!
Thanks for reading!

value: Show HN: CircleCropPhoto – Instantly Crop Images into Perfect Circles


value: jlemee

value: Show HN: I built a political quiz that maps ideologies in 3D using 39 dimensions

author: jlemee


value: qwikhost

value: ChatGPT Library Exporter - Save HD images & videos from ChatGPT with metadata. Fast, secure, and easy to organize.

value: Show HN: ChatGPT Exporter – Download ChatGPT Library Images and Videos

author: qwikhost


value: andreupifarre

value:
I’ve been experimenting with ultra-fast UI builds. This time, I challenged myself to clone the ChatGPT page using React (Vite) and Tailwind CSS—start to be shown just three minutes.
The goal was pixel-accuracy, based on a custom Figma layout inspired by OpenAI’s ChatGPT design. I recorded the process as a 3-minute speed-run video.
– GitHub: https://github.com/andreupifarre/chatgpt-clone
– Video: https://www.youtube.com/watch?v=XTOBF-r4zKY
The original ChatGPT page features clean typography, smooth section transitions, and a minimalist aesthetic. I reproduced the layout and interactions with Tailwind’s utility classes and a few lightweight custom components.
I’d love to hear feedback from fellow builders—what would you improve, or how would you tackle this challenge?

value: Show HN: ChatGPT Page Rebuilt in React and Tailwind (3‑min speed‑run video)

author: andreupifarre


value: spr-alex

value:
Linux bitchat client using the bluer library. Vibes also came from bitchat_tui (https://github.com/vaibhav-mattoo/bitchat-tui)
Bluez is the better choice for publishing GATT serivces and avoids the pairing popups with other rust BT libraries.
- Supports BitChat Noise messages for e2e  & peer verification

value: Show HN: Vibed Linux Rust BitChat Client Using Bluez

author: spr-alex


value: john-doherty

value:
Hello HN. I built OrcaCam, a Flappy Bird style game where you control an orca and dodge columns while learning surprising facts about innovations that came out of Cambridge, UK (DNA, IVF, the webcam etc). The top score is visible in a shopping center in Cambridge City center for the next few months.
I’m using pure JS (ES5), no frameworks. It’s a fully offline-capable PWA, using a service worker. I’ve not written a game in years, so was a fun way to learn what’s possible on the web today using the latest standards. The hardest part was a consistent level of gameplay on different resolutions.
Anyway, it’s playable on desktop, mobile and even a Tesla dash -> https://orcascan.com/game - let me know what you think
PS: where is the best place to publish a PWA?

value: Show HN: OrcaCam – A Flappy Bird-style game celebrating Cambridge innovation

author: john-doherty


value: arthurcolle

value: Show HN: Self-contained MLX implementation of GPT-OSS models

author: arthurcolle


value: reimisdev

value:
Alternative to magic.h and infer.
Zero dependencies. Fully extensible.
Works in no_std, async, and embedded contexts.

value: Show HN: Rust framework for advanced file recognition and identification

author: reimisdev


value: rohaquinlop

value: This is a python CLI and library that calculates the cognitive complexity of Python files. Cognitive complexity is a metric that defines how easy (or hard) is a code, this is a metric focused on devs and AI agents.<p>I've developed complexipy to be fast and to help to keep projects easy to maintain.

value: Show HN: Complexipy, calculate the cognitive complexity of Python

author: rohaquinlop


value: doppelgunner

value: Show HN: Don't settle for a waitlist. Create a VIP list that drives conversions

author: doppelgunner


value: qwikhost

value: Pinterest Videos Downloader - Instantly download videos & images from Pinterest. Easy, fast tool for creators & content savers.

value: Show HN: Pinterest Videos Downloader

title: Show HN: Pinterest Videos Downloader


value: modinfo

value:
I built a comprehensive key-value store management application that combines the simplicity of file-based storage with a modern web interface. It's like having your own lightweight database with a VS Code-like editor built right in.
Demo: https://kv.sekor.eu.org/ (admin@example.com / adminadmin)
Manager: https://github.com/skorotkiewicz/kvstore-manager
Client: https://github.com/skorotkiewicz/kvstore-client
The interesting part is how it handles user isolation - each user gets their own directory structure under database/{user-id}/{database-name}/{store-name}.json.
It's perfect for prototyping, small applications, or when you need a simple key-value store without the overhead of Redis or similar.
The frontend includes a dashboard for managing databases/stores, Monaco editor for advanced editing, and comprehensive API docs.
Backend is built with Hono.js (faster than Express) with token auth and rate limiting.
What do you think? Would this be useful for your projects?

value: Show HN: KV Store Manager – Full-stack key-value database with web UI and API

author: modinfo


value: someONEgit

value:
Hey HN,
I built CodeKeg – a developer network to share tools, code, and documentation. It’s also got blog posts, dev news links, and a community section where contributors can add their own proects via GitHub.
Why? I was tired of endlessly searching for dev tools and wanted a lightweight hub for people to host their dev tools to keep it easily accessible. It’s open-source and ready for contributors at any time (subject to change).
Would love feedback or suggestions! Or submit your own project if you’ve got something cool!
site (in case not seen): https://www.codekeg.dev

value: Show HN: CodeKeg, Site for Developers

author: someONEgit

title: Show HN: CodeKeg, Site for Developers


value:
It’s a calorie and macro tracker, yes. but not the kind that makes you feel bad about eating a sandwich or forgets you're a human being.
iOS:
I built it because I’ve tried most of the popular trackers, and while they’re powerful, they tend to be clunky, overcomplicated, or oddly guilt-inducing. Macro Meals is my attempt to build something simple, helpful, and user-friendly for regular people who just want to eat better and not obsess over it.
Some features:
Photo-based meal logging (uses image recognition to estimate macros)
Macro-aware meal suggestions from restaurants near you
Daily macro feedback that adjusts based on what you’ve already eaten
Give it a try, would love to hear some feedback!
Android: https://play.google.com/store/apps/details?id=com.macromeals...
iOS:
https://apps.apple.com/gh/app/macro-meals/id6747797496

value: Show HN: Macro Meals – Not Your Regular a Calorie and Macro Tracker


value: thillainathan

value: DigiLabs, a virtual IT training lab platform powered by IBM, has expanded rapidly across Tamil Nadu.<p>Since its start in 2023, it’s now live in 200+ schools and colleges, offering cloud-based virtual lab solutions. With a vision for nationwide impact, that the planning of sivakumar kuppannan they are already conducted a hackathon on August 20 with 20+ colleges and giving awards for students. Now major hackathon by 2028 and aim to deliver virtual IT training across India.

value: Show HN: Digilabs Grown Since Launch in 2023 more over 200 colleges

author: thillainathan


value: AustinLikesAI

value:
There's a huge disconnect in many life sciences labs. There are computational teams building complex models and wet lab scientists doing research at the bench. These two worlds don't always mix. This means the scientists who run experiments often get stuck with tedious, manual digital work, tasks that feel like they should have been automated a decade ago. They rely on machines for data but often lack the programming background to build the custom tools they desperately need.
A concrete example from mRNA therapeutics is selecting the right gene variant for drug screening. Before a new drug can be synthesized, a researcher must choose the correct variant of a target gene (isoforms). TP53 for example has 12. Picking the wrong one can mean targeting the wrong tissue or expressing a non-functional protein, leading to false negatives that can kill a promising therapeutic before it even gets a shot.
The manual workflow followed to get relevant data for any target follows a process I imagine many recognize,  even if the science is different:
1. Navigate through several database websites that look like they were designed in 1999.
2. Click through menus to locate the correct string of letters buried in a sea of plain text.
3. Manually copy-paste a long sequence of text into a spreadsheet.
4. Ask a colleague to double check this for however many targets you have. They will then, reproduce (or pretend to reproduce) the same mind-numbing steps as you.
The whole process is slow, incredibly error-prone, and a small oversight can derail weeks of research. The scientific choice also carries real consequences, especially when a researcher is selecting between multiple isoforms of a single gene. Yet the process often relies on vague, unstated heuristics; for example, “just pick the longest one” when a dozen transcript variants are returned. Hundreds, if not thousands, of hours are wasted in similar manual ways every year across research teams in the U.S.
However, vibe coding is proving to be one of the greatest gifts to experimental scientists who are curious enough to try. Emerging systems make it possible for anyone to write quick, bespoke, good-enough scripts that save hours of repetitive work. For example, I used this approach to build a simple pipeline that automates this entire tedious process.
The repo with the case study is here:  Repo
Substack article is here: Vibe Coding, mRNA, and a Very Conflicted AI Claude
 When I read discussions from software engineers who are skeptical of vibe coding, I can’t help but think they’re blinded by their own experience. They either can’t fathom , or have long forgotten, the tremendous acceleration and excitement that occurs when you leap from a manual standstill to modest automation. My suspicion is that domains with a natural tolerance for “shooting fast and from the hip” will gain the most from the lightweight automation these tools now make possible.
github repo here: https://github.com/gvmfhy/constitutional-seq
substack post here: https://austinpatrick.substack.com/p/rapid-mrna-drug-design-...

value: Show HN: Automating a manual step in RNA design (With a Conflicted Claude Opus)

author: AustinLikesAI


value: Show HN: Building a Godot‑powered 3D browser (open‑source, feedback welcome)


value:
PECU is a single-shell utility that automates GPU passthrough on Proxmox VE 9 and lets you roll back safely.
New in 3.0
• Release Selector script – choose any Stable/Beta/Nightly build
• YAML templates to spin up Windows-gaming or Linux-workstation VMs in one command
• Full NVIDIA / AMD / Intel support with auto-detect and rollback
## Quick demo – try the Release Selector
```
bash <(curl -sL <a href="https://raw.githubusercontent.com/Danilop95/Proxmox-Enhanced-Configuration-Utility/refs/heads/main/scripts/pecu_release_selector.sh" rel="nofollow">https://raw.githubusercontent.com/Danilop95/Proxmox-Enhanced...</a>)
```
Pick option 3) v2025.08.06 (Stable) and PECU will self-update and launch.
The core stays GPL-3; a Premium tier (advanced monitoring & cloud integration) is planned for 2026.

value: Show HN: PECU 3.0 – GPU passthrough and one-command VM templates for Proxmox 9


value:
Hey HN
I recently built Cityphoria — a platform for reviewing entire cities based on real experiences.
The idea came from frustration while planning a move. I could find plenty of reviews for restaurants and attractions, but almost nothing about the cities themselves — no clear way to know what it’s actually like to live or work there.
Cityphoria lets anyone:
- Rate cities on things like walkability, safety, cost of living and more.
- Read reviews from people who’ve lived or traveled there.
- Compare cities to get a clear picture of which one's the best for you.
I’d love for you to check it out and leave a review for any city you’ve lived in or visited. Your input could really help someone planning a move or trip.
Happy to get some feedback, or suggestions! Thanks a lot for your time.

value: Show HN: Cityphoria – Honest, crowdsourced city reviews


value: boburumurzokov

value:
Hi Everyone,
I’ve been working on an open-source project called Memori — it’s a memory layer for AI agents.
Memori is designed to give agents a persistent memory layer that supports both:
Short-term “conscious” memory (like working memory in humans)
Long-term retrieval using SQL full-text search (not vector stores)
It’s built around a multi-agent architecture (memory agent, conscious agent, retrieval agent), with structured storage and zero config to get started. It supports SQLite, Postgres, and MySQL.
Would love to hear what you think — all critique welcome.
Happy to answer questions or hear if you’ve solved this differently.

value: Show HN: Memori – Dual-Mode Memory Layer for AI Agents

author: boburumurzokov


value: benedictowusu

value: Show HN: I gamified the way we learn

author: benedictowusu

title: Show HN: I gamified the way we learn


value: yllberisha

value:
I've been working on a side project called BeforeYouBuy – a tool that helps you make smarter shopping decisions using AI.
The idea is simple: before buying something online, you paste the product link into BeforeYouBuy, and it gives you:
A short summary of what the product does (no fluff).
Key pros and cons pulled from real user reviews.
Any red flags you should know about (fake reviews, pricing tricks, better alternatives).
Alerts if the price recently dropped or spiked.

value: Show HN: Show HN: BeforeYouBuy – Your AI Companion for Shopping

author: yllberisha


value: hpbyte

value:
Quick update to my previous post about h‑codex – a semantic code search tool for cross-repo context retrieval, built for AI-assisted software development.
-  Python support
-  Fallback recursive chunking for other non-programming files such as markdowns, css etc.
Background:
I’ve been frustrated trying to get the right context when working across multiple repos in AI assisted software development.
So, I built h‑codex – a tool that can pull context from scattered repos into Cursor / Claude Code (integrated via MCP); ensuring that they’ve got the full picture when doing the plans/implementation.
Check it out: https://github.com/hpbyte/h-codex

value: Show HN: H‑codex update – Now supports Python and more file types

author: hpbyte


value: Mattykry

value: SHOW HN: SleepLive – ASMR custom audio and video requests platform

author: Mattykry


value: bittermandel

value: We're happy to announce an early version of https://github.com/molnett/neon-operator, a Kubernetes operator that allows you to self-host Neon on your own infrastructure. This is the culmination of our efforts to understand the internal details of Neon, and we're excited to share our findings with the community!

value: Show HN: Kubernetes Operator for Neon Postgres

author: bittermandel


value: qutek

value:
Hi HN,
I built Screenbites, a small desktop app that lets you share just a cropped portion of your screen along with a spotlight cursor and live annotation tools.
I use an ultrawide monitor, and screen sharing during meetings was always painful. Everything looks tiny to viewers, and sharing a single window isn’t ideal when switching between apps. So I made a tool that solves that:
- Crop and share any part of your screen
- Spotlight your cursor
- Draw or highlight live during calls
- Whiteboard-style canvas mode
- Works with Zoom, Teams, Meet, etc.
- Available for Mac and Windows
It’s free to use with basic features, and there’s a one-time upgrade option.
Would love your thoughts or feedback, especially from anyone who shares screens often or teaches online.

value: Show HN: Screenbites – Share only part of your screen

author: qutek


value: stonecharioteer

value: Show HN: goforgo – Rustlings but for Learning Go

author: stonecharioteer


value: jakobhautop

value: I love palette generators like Coolors.co and Adobe Color Wheel. But they zoom in on the palette generation which can make it hard to judge “how would this look on code/docs?”. So I built a small playground to help myself on a different project. The tooling rn is premature to say the least but I am showing this to get some early feedback on the idea itself. Is this something you would use when deciding on colors/fonts for your docs or would you do something else?

value: Show HN: Code Palettes – Free color theme generator for code and docs

author: jakobhautop


value: FEAX is a compact, high-performance finite element analysis engine built on JAX. It provides an API for solving partial differential equations with automatic differentiation, JIT compilation, and GPU acceleration.

value: Show HN: Finite Element Analysis with JAX


value: lnkrr

value: Cent is a systems programming language that aims to be simple and readable. Currently it's at a very early stage with partial generics support.

value: Show HN: Cent programming language (I turned 16 three days ago)

author: lnkrr


value:
Just open-sourced a small terminal tool I’ve been working on. The idea came from wondering how useful it’d be if you could just describe the kind of dataset you need, and it would go out, do the deep research, and return something structured and usable.
You give it a description, and it pulls relevant info from across the web, suggests a schema based on what it finds, and generates a clean dataset. The schema is editable, and it also adds a short explanation of what the dataset covers. In some cases, it even asks follow-up questions to make the structure more useful.
Started off as a quick experiment, but a few people found it interesting, so I figured I’d release this first version. It’s simple, fast, runs in the terminal, and is fully open source.
Repo is here: https://github.com/Datalore-ai/datalore-deep-research-cli, do give a star if u like it.
Also been playing around with the idea of local deep research, where it works offline or on top of your own files or saved pages. Might explore that more soon.
Would love to hear what you think or how you'd improve it if you give it a try.

value: Show HN: Generate Fine-tunning dataset using deep research in terminal


value:
Hi HN,
I built Tasklyst (https://tasklyst.app), a minimalist, offline-first productivity app for Windows and Linux. I made it for myself after getting tired of bloated or cloud-dependent tools that didn’t work well on Linux.
Tasklyst is cross-platform (built with Flutter), lightweight, and private. No accounts, no cloud — just a fast native task manager that runs locally.
Key features:
- Offline-first, no forced login or sync
- Native cross-platform UI
- Light and dark themes
- Custom task types and tags
- Priorities, due/start times, completion tracking
- Configurable task table (columns, sorting)
- Tray icon + autostart at boot
- Backup and restore support
- Auto-updates
What’s new:
I just added a feature voting system using the user_oriented Flutter package. Users can now propose and vote on new features directly inside the app.
Plans:
- Always free version
- PRO version (optional) to support continued development
- Mobile, shared lists, reminders, local AI task entry (llama.cpp), and optional sync in the future
It's not open source right now — my main goal is to get people using it and make the PRO version sustainable.
You can try it here (no signup needed): https://tasklyst.app
Would love to hear your feedback, ideas, and whether this is something you'd use!

value: Show HN: Tasklyst – A minimalist offline-first multiplatform productivity app


value:
Hi HN,
I've been spending nights wrestling with Cursor/Cline/Windsurf on anything larger than a toy repo:
- the LLM cheerfully deletes my hand-written files
- integration bugs that surface only after three merged PRs
- no shared mental model between me and the agent
So I built Blueprint, a tiny desktop tool that lets humans and AIs agree on a plan before anyone touches code.
How it works
- Shared plan.md – human & LLM edit one file.
- Auto-generated graph.yaml – turns the plan into boxes & arrows.
- Per-component agents – each LLM only sees its slice; lock any file you want protected.
100 % local (Svelte + Tauri + Rust) and MIT-licensed. Alpha quality—expect sharp edges—but the core loop (plan → graph → generate) is functional.
I dog-food it on a toy collaborative editor I’m writing in C. First time I handed the repo back to the LLM without Blueprint it trashed my hand-rolled CRDT. With Blueprint it only touched the component I asked it to, left my locked files alone, and the diff actually compiled.
Would love brutal feedback or war stories from anyone else trying to get LLMs to play nicely on real projects.

value: Show HN: Blueprint, a desktop app to guard against rogue LLMs


value: stasher-dev

value:
Stasher is a tiny CLI tool that lets you share encrypted secrets that burn after reading — no accounts, no logins, no servers to trust.
I built it because I just wanted to share a password. Not spin up infra. Not register for some "secure" web app. Not trust Slack threads. Just send a secret.
Secrets are encrypted client-side with AES-256-GCM. You get a `uuid:key` token to share. Once someone reads it, it's gone. If they don't read it in 10 minutes, it expires and deleted.
Everything is verifiable. Every release is signed, SLSA-attested, SBOM-included, and logged in the Rekor transparency log. Every line of code is public.
There's also a browser-based companion: https://app.stasher.dev — works in a sandboxed popup using the same encrypted model. Share from the terminal, pick up in the browser.
No data stored unencrypted. No metadata. No logs. No surveillance.
---
GitHub (CLI): https://github.com/stasher-dev/stasher-cli
GitHub (App): https://github.com/stasher-dev/stasher-app
API (Cloudflare Worker): https://github.com/stasher-dev/stasher-api
CI/CD (Open): https://github.com/stasher-dev/stasher-ci
NPM: https://www.npmjs.com/package/stasher-cli
Website: https://stasher.dev
Browser App: https://app.stasher.dev (runs in sandbox from https://dev.stasher)
Built with Cloudflare Workers, KV, and Durable Objects. All code open, auditable, and signed.
Try it:
```bash
npx enstash "vault code is 1234#"
npx destash "uuid:base64key"
thanks for reading

value: Show HN: Stasher – Burn-after-read secrets from the CLI, no server, no trust

author: stasher-dev


value: harperhuang

value: Sometimes the words we most need to say are the hardest to speak out loud. "I'm sorry," "I love you," "I'm scared" – these simple phrases can feel impossible when we're face-to-face with someone who matters.<p>I built "I Want to Say" (iwanttosay.online) as a place where people can practice vulnerability through anonymous writing. No accounts, no tracking – just a safe space to put your feelings into words. Many users find that writing it down first gives them the courage to eventually say it in real life.

value: Show HN: Saying what's in your heart anonymously can heal yourself

author: harperhuang


value: vcarrico

value:
Hey HN,
Any fellow BJJ folks around? o/
So, last week I registered for my first BJJ competition, and while reading the IBJJF rulebook, I realized I’m not as familiar with it as I thought. So, I decided to “vibe-code” this app to generate quizzes based on different rulesets (IBJJF, ADCC, AJP).
It’s very simple:
1. You choose the ruleset (example: IBJJF)
2. Pick the topics you want to focus on (Points Scoring, Advantages)
3. Select the number of questions
4. That’s it — it gives you a quick quiz with multiple-choice questions pulled from the official rulebook.
If you try it out, I’d love to hear some honest opinions. Just letting me know if you find it useful.
Some technical details:
* All the questions are pre-generated by AI, not created on the fly. I’ll probably keep adding more and maybe focus on situational type of questions.
* I completely vibe-coded this using vscode and copilot in agent mode with Claude Sonnet 4. It’s impressive how fast it could prototype and make it grow until the point I was almost lost in my own project!
[]s

value: Show HN: Knowthemat.com a free site I vibe-coded to help you learn BJJ rules

author: vcarrico


value: Show HN: Premium Photo Effects Studio – Apply 23 artistic effects in‑browser


value: visualstackk

value:
I often listen to Spotify or YouTube while working, but every time I joined a quick Slack call or used voice dictation, I had to scramble to pause my music and then remember to resume it afterwards (this is made worse by headphones on OSX switching to Bluetooth audio profiles when the mic is in use - if you know you know )
I built AutoPause to remove that step. It’s a small macOS menu bar app that detects when your microphone is in use and automatically pauses your music or video, resuming when the mic is free.
Features:
- Works with Spotify, Apple Music, YouTube, Netflix, and more.
- Browser media support via a companion Chrome extension.
- Local-only: the macOS app and Chrome extension communicate via WebSockets on localhost; nothing leaves your machine.
App Store link: https://apps.apple.com/us/app/autopause/id6747332615?ct=hn-s...
I’ve been a software engineer for 15 years or so, but I fully vibe-coded this as a trial (and then had to undo most of it at least once lol).
Built in Swift (AppKit) with a lightweight Chrome extension that handles browser media control.
Happy to answer questions or hear thoughts on use cases I might’ve missed.

value: Show HN: AutoPause – macOS utility that auto-pauses media when mic is in use

author: visualstackk


value: protontypes

value: Show HN: MapYourGrid

author: protontypes

title: Show HN: MapYourGrid


value: tujuit

value:
I love the idea of white noise or frequencies for relaxation. Personally many times been going to sleep with rain sounds.
This is a bit of an augmented concept. Adding vibration patters that "match" the audio frequencies –as much as possible– makes it a very different but pleasant exeperience.
I'd love to see what you think about it.

value: Show HN: Feelquency – Mixing calming frequencies with soothing vibrations

author: tujuit


value: Show HN: Talk to Train Agents that talk on your behalf


value: joecarpenter

value: VectorOps Know is an extensible code-intelligence helper library. It scans your repository, builds a language-aware graph of files / packages / symbols and exposes high-level tooling for search, summarisation, ranking and graph analysis to LLMs.

value: Show HN: VectorOps Know

author: joecarpenter

title: Show HN: VectorOps Know


value: maxbene

value:
After 40 years of coding (starting with 8-bit assembly in the 80s), I decided to test the "vibe coding" paradigm everyone's talking about. I spent 2 weeks developing a Python project entirely through conversation with AI assistants - no direct code writing, just English instructions to Claude, GPT-4, and Gemini.
Yes, the 10x productivity claims have some truth - but with serious caveats. The AI assistants made both brilliant architectural decisions and bizarre errors. They proved theorems for me in 30 seconds that would've taken me hours, yet also confused left with right in a simple data structure.
Still: this isn't the death of programming, nor the advent of English-as-a-6th-generation-programming-language, but IMO a shift in how we handle uncertainty and ambiguity in software development. Instead of a rigid human-to-machine dialogue, it's now a probabilistic collaboration where the fuzziness moves from your head into the conversation itself.
I documented everything - all 300+ exchanges, the errors, the wins, and what this means for developers with different experience levels. Including from a psychological and emotional point of view.
So if you're curious about what "English as a programming language" actually looks like in practice, here is my full article (10k words):
https://marcobenedetti.substack.com/p/vibe-coding-as-a-codin...
Code repository: https://github.com/mabene/vibe
Happy to answer questions about the experience. For context, I hold a (pre-LLM) PhD in AI and currently work as a research advisor for the AI team of a large organization, so I've been watching this evolution from both practical and theoretical angles.

value: Show HN: I spent 40 hours vibe coding after 40 years of traditional programming

author: maxbene


value: yiyiyayo

value: Show HN: Grow a Garden Cooking Recipes

author: yiyiyayo

title: Show HN: Grow a Garden Cooking Recipes


value: AppMaestro

value: After one long week fighting email overload, I built an AI Chrome extension that drafts replies for me. I was spending way too much time just trying to find the right words. So, I hacked together a little tool. It looks at the email and, using the smarts of gemini-2.5-pro, writes a draft. The basic bits are in popup.js ,manifest.json and popup.html for the simple interface. It’s surprisingly good at getting the tone right and saves me a bunch of time every day. I’ve been using it myself and it's cut my email time by maybe 20-30% already. Would love to hear what you think and if it helps anyone else drowning in their inbox.

value: Show HN: I Built a Gemini 2.5 Pro Chrome Extension for Effortless Email Drafting

author: AppMaestro


value: tabpref

value:
Hey HN!
We just launched TabPref — a social platform built for the people who make the hospitality and nightlife world run: bartenders, servers, barbacks, vendors, and venue owners.
TabPref supports:
Multi-profile switching (for pros juggling multiple roles)
Vendor discovery and listings
A networking feed designed for industry needs
Consumer profiles, too — not just for professionals
It’s a fresh take on professional networking — think LinkedIn meets nightlife.
We’re in public beta now — no NDA required.
Open to feedback, testers, and potential partners.
https://tabpref.com

value: Show HN: TabPref – A social network for the service and hospitality industry

author: tabpref


value:
About a year ago I introduced Trayce to HN as the "network tab for docker containers". Now I have released a new version which adds an HTTP client. The idea is to combine network monitoring with an HTTP client to help developers interact with and debug web application servers.
Think "Burp Suite for developers".
Trayce stores requests as local files using the .bru file format. The UI is based on Flutter which means it offers a super-fast and modern desktop GUI with a total download size of 13MB (on Linux). I am still adding features to it so would love feedback. Currently the new features in the pipeline are: OAuth2, GRPC, and scripting. It is open source and free to use but a perpetual license must be purchased for continued use. The license model is similar to that of Sublime Text.
Thank you!

value: Show HN: Trayce – Burp Suite for developers


value: neudo

value: Show HN: Hector Analytics – GDPR-first web analytics with <1KB script

author: neudo


value: Show HN: ChaCha12-BLAKE3: Secure and Fast committing AEAD Encryption for Any CPU