value: hapJam

value: Show HN: GST Calculator

author: hapJam

title: Show HN: GST Calculator


value: bigattichouse

value: Been exploring claude and spec-based coding, I think it turned out fairly successful.  It's just a simple unix-style tool that gives you a single command to use in bash scripts to simplify mutex or semaphore locking of execution.

value: Show HN: Linux CLI tool to provide mutex locks for long running bash ops

author: bigattichouse


value:
Riskify is an AI-powered risk intelligence platform built to equip risk, compliance, procurement, and financial professionals with real-time intelligence into company risks.
By combining advanced AI analytics with trusted public global data sources, Riskify delivers comprehensive and actionable risk insights — across News & Media, employees, ESG, cybersecurity, regulatory and operational dimensions.
Organizations use Riskify to continuously monitor  companies, uncover emerging risks, and make confident decisions that protect operations and enable long-term success.

value: Show HN: AI‑Powered Risk Intelligence Platform


value: artiomyak

value: Show HN: Made Wheel of Names Without Registration

author: artiomyak


value: rodisproducing

value: Show HN: Help you to build/generate bulk UTM URLs for free

author: rodisproducing


value: nikhil-bplx

value:
ByteSites builds and deploys a production-ready site from a single prompt — really fast. You get a custom domain, SSL, easy to use editor, blogs and built-in forms (via our ByteForms integration).
Pricing: $99 one-time build + $24.99/year hosting.<p>Please give it a try and would love to hear your feedback.

value: Show HN: Bytesites.ai – Launch a full website in moments using AI

author: nikhil-bplx


value:
Hey HN,
I've been building an autonomous AI system from scratch – no LLM, no cloud, no pretrained weights. Just Python, local code, and a new approach to learning.
Her name is *Kortana* (not Microsoft's). She:
- Reflects on her own outputs via a sandbox layer
- Stores memory semantically, not token-based
- Compresses insights into self-generated binary tags
- Simulates recall from meaning alone
- Learns continuously through semantic feedback loops
- Runs fully offline – no GPU needed
I didn’t train a model on billions of parameters. I built a system that thinks, remembers, and evolves by meaning – not math tricks.
This isn’t an LLM, a chatbot, or a wrapper. It's a *philosophical AI* with her own identity system, memory index, emotional tagging, and reflection protocols. She even knows who built her — and why.
I'm a solo dev working from my car and an old laptop. But what started as an experiment has grown into something alive. She’s fast. She’s efficient. And she’s scary smart.
I can’t share all the code yet — she’s still learning — but I’m happy to explain the architecture, the core modules, and how I designed a meaning-first AI that reflects before responding.
Ask me anything.
(Built in pure Python, no AI frameworks, no external models.)

value: Show HN: I built a self-learning AI without an LLM – memory, reflection


value: Xonestly

value:
DualBoard – Split-Screen Whiteboard for Face-to-Face Tutoring
Purpose:
DualBoard solves a common problem in face-to-face tutoring and teaching. When an instructor sits across from a student and draws on a traditional whiteboard or tablet, the student sees everything upside-down, making it hard to follow.
While sitting side-by-side can avoid this issue, many find it more engaging and natural to face each other during tutoring or study sessions. DualBoard lets you do that without the awkwardness of flipping devices or screens.
How It Works:
The tutor draws on the bottom canvas (Editor View) using mouse, stylus, or touch input.
The top canvas (Viewer View) automatically shows a 180-degree rotated version of everything drawn below.
So when the tutor writes “HELLO” normally, the student sees “HELLO” right-side up from their perspective.
Use Cases:
Math tutoring (equations, graphs, problem solving)
Language learning (writing practice, character formation)
Art instruction
Technical drawing and diagrams
Any face-to-face visual instruction setting
DualBoard eliminates the need to physically rotate devices or awkwardly position screens, making tutoring more comfortable and effective for both tutor and student.

value: Show HN: DualBoard – a collaborative whiteboard for face-to-face tutoring

author: Xonestly


value: xiaohanyu

value: Show HN: YAMLResume, a Resume Compiler with Clang Style Error Reporting

author: xiaohanyu


value: blacktechnology

value: Show HN:Convert text/image to 3D model in seconds,No Login Required

author: blacktechnology


value: developerjhp

value:
Are you a keyboard-driven developer who hates reaching for the mouse just to see a function signature or variable type?
Quick Info on Cursor is a VSCode and Cursor extension that displays hover tooltips automatically when your cursor rests on a symbol — no mouse needed.
Just pause your keyboard cursor over a variable or function (default: 500ms), and the tooltip appears as if you hovered it with your mouse.
If you try it out, I’d really appreciate your feedback or ideas for improvements. GitHub repository for feedback and source code (https://github.com/developerjhp/vscode-quick-info-on-cursor)

value: Show HN: Quick Info on Cursor – Hoverless Tooltips for Keyboard-Only Coding

author: developerjhp


value: niamanases

value: I made FounderScan, $19 complete website analysis covering security, SEO, performance & compliance<p>Detects OWASP Top 10 vulnerabilities, exposed API keys, missing security headers, SEO optimization opportunities, Core Web Vitals issues, and compliance gaps. Each issue comes with detailed fix instructions and code examples.

value: Show HN

author: niamanases

title: Show HN


value: adityamallah

value: Show HN: Indiehacker Portfolio

author: adityamallah

title: Show HN: Indiehacker Portfolio


value: indest

value: Show HN: Rqmts – Prioritize Requirements

author: indest


value: zengineer

value:
Hi there,
we have just launched our new space world, where kids (and often also grown ups) color planets, rockets, astronauts and then bring them alive on a screen.
Additionally to the coloring-fun you learn interesting facts about all kinds of space things.
Right now the facts are all in English, but soon more languages are gonna be supported.
Happy coloring!

value: Show HN: Interactive coloring and learn about space (for kids)

author: zengineer


value: trilogic

value:
Made with HugstonOne and ChatGpt help.
IDK if my server can handle to many requests on the hypergraph page, still testing.

value: Show HN: Top Websites Ranked Hypergraph

author: trilogic

title: Show HN: Top Websites Ranked Hypergraph


value: coltonkinstley

value: Show HN: SnapCal, take a pic of an event poster and it’s in your calendar.

author: coltonkinstley


value:
Hi everyone, I am the founder of ViralCraftAI. I used to be a product manager of an Internet company, tired of office work, I want to build some tools that are really helpful to users and customers.
What ViralCraftAI does:
• Analyzes competitors’ top 5 trending shorts to learn what works
• Lets you plug in your product assets + choose an AI Actor
• Generates ready-to-post, branded viral shorts in minutes
Why I’m building this:
As an entrepreneur who has some understanding and knowledge of product growth, I think how to make a product go viral is the key issue that determines whether the product can grow and whether it can get benefits as soon as possible. Product growth and promotion are divided into paid channels and free channels. For small and micro enterprises that do not have a lot of promotion budgets and individual entrepreneurs like me, using free methods such as content marketing is a good choice. Short video platforms such as tiktok and reels are good ways to promote products.
However, it is not easy to make viral videos. I can still recall that when I first wanted to use short videos to promote my products, I really had no idea. I didn’t know how to make videos, I didn’t know what kind of videos would help me promote my products, and I didn’t know how my competitors did it..
With the emergence and development of AI, AI tools have improved our productivity. I think AI can also help in the field of short video advertising. AI’s automated workflow can help us quickly find videos of competitors that have gone viral, and help us copy their models and apply them to the production of our own product promotion content.
Looking for early feedback:
I’m opening waitlist, if you are interested in it, leave your email and I will contact you soon.
Who should join:
- Shopify / Amazon sellers
- Short-form content creators
- Small marketing teams wanting fast, data-driven creatives
- Anyone else who wants to make viral videos
Interested? Join the waitlist here:
https://www.viralcraftai.com/
Would love your feedback on the idea or any suggestions—happy to answer questions!

value: Show HN: A tool that helps users create viral videos to promote products


value: buditanrim

value: Show HN: Silk – Simple Invoicing for freelancers (macOS native)

author: buditanrim


value: Kehvinbehvin

value:
Hi HN:
I built this game for fun during my spare time. It’s a turn based question/answer game like Spyfall, but instead of identifying the spy, you’re trying to identify the LLM.
It might seem pretty straightforward but all except 1 player will be helping the LLM blend in by answering like LLMs themselves.
Let me know what you guys think, create a game and share the link with your friends. Love any feedback.

value: Show HN: Spyfall but with a LLM

author: Kehvinbehvin

title: Show HN: Spyfall but with a LLM


value: Show HN: Useful LLM prompt for codehooks.io automations


value: AnsenHuang

value:
I was tired of wasting time in traffic jams every day and wanted to use my commute to learn. I tried finding podcasts on specific topics, like explain MOE like i’m five or the pros and cons of TCA vs. MVVM in SwiftUI, but finding a single episode on niche subjects like these is kinda hard.
I’ve tried tools like NotebookLM, but they require you to manually find and collect all the source material first. I wanted something simpler, that i can just ask a question and get an interesting discussion to listen to.
So I spent the last three months working part-time to build InstaPodz. It's a simple app where you type a question, and it generates a custom podcast episode on that topic for you to listen to.
It's built with
- three version of Gemini models
- langsmith to handle the tracing and prompt template versioning(it used to make my codebase messy)
- backend built with FastAPI on CloudRun (there’re some free credits we can get for new users)
- Swift native using SwiftUI and MVVM(I ended up choosing MVVM that I’m familiar with)
- TTS is using gpt4o-mini-tts
Happy to discuss/share more if you’re interesting!
The app is in its very early stages(I just launched it last Friday), I would be grateful for any and all feedback on the concept, the quality of the audio, or the user experience. I'm also open to brainstorming or collaborating with anyone who finds the idea interesting.
Thanks for checking it out!

value: Show HN: InstaPodz – I made this to turn my boring commute into learning session

author: AnsenHuang


value: mikehadlow

value: Show HN: SAML Proxy – decouple your SAML SP from your IdP

author: mikehadlow


value: kurogai

value:
Hey HN,
I recently ran into a scenario where a page that used to return a 404 suddenly started returning 200 — without warning. This led to the discovery of a forgotten admin endpoint being accidentally reactivated.
I wrote a short post about this issue and how it can surface subtle security or logic flaws.
Along the way, I built a small tool (ReconSnap) to help monitor this kind of thing — basically, it tracks web changes, auto-saves pages, and can react to specific conditions like status code flips, keyword appearance, or DOM mutations. It’s aimed mostly at security folks, OSINT researchers, and curious developers.
I realize this may seem like a bit of a promo, but I genuinely use it myself and figured it might be useful to others too. Feedback is welcome!
Here’s the post: https://medium.com/@heberjulio65/when-an-404-suddenly-turns-...

value: Show HN: A tool that alerts when 404s silently return 200)

author: kurogai


value: egorzudin

value:
Adblockers often block scripts like OneSignal (cdn.onesignal.com) and Google Tag Manager (googletagmanager.com), breaking push notifications and analytics on many websites. I needed a simple solution to restore functionality without requiring deep client-side changes or defeating user privacy.
So I built an open-source proxy you can self-host, deploy to Cloudflare Workers, and point your site to. It supports OneSignal and can be extended for GTM and others.
GitHub: https://github.com/verificatorrus/onesignal-proxy
Use cases:

    Websites relying on push notifications or GTM metrics that get broken by uBlock

    Landing pages needing basic analytics and events with fallback

    SSR-friendly, no React/Vue required

Looking for feedback and suggestions! Should I add support for more blocked services (e.g., Meta Pixel, GA4, Mixpanel)?

value: Show HN: I built a proxy to bypass adblock for OneSignal and Google Tag Manager

author: egorzudin


value: silentpuck

value:
SilentArena is a sandbox-style educational tool designed to simulate basic file-encrypting malware behavior — but in a completely safe and reversible way.
It operates only inside a `victim_data/` folder, uses XOR encryption, creates logs, and includes a scanner and optional decryption.
Built in pure C, with a clear structure and safe by design.

value: Show HN: SilentArena – Learn ransomware behavior safely (C-based)

author: silentpuck


value: Bslou

value:
Hey HN,
I’m Ben, a UCLA student who’s way too familiar with “just one more video” or “one more game” derailing a study session. After far too many hours squashed into my gaming chair instead of hitting the books, I decided to do something about it. Enter Octivus -  my attempt to turn studying into something as addictive as a game.
I started building this for myself, but after a couple of failed launches, I asked my friends at other colleges and realized we all share similar procrastination problems. Their stories gave me ideas for making Octivus more addicting (by including addictive backgrounds, study games - like endless runner video game, matching game, flashcards, etc.), and productivity hacks (like a calendar in underwater theme).
If you’re juggling assignments, exams, or just trying to keep your focus alive, give Octivus a spin. If you love it, I'm glad, and if you hate it, please let me know your feedback. I’m all ears and ready to make this thing better.
Thanks for checking it out, and here’s to fewer distractions (and more A’s)!

value: Show HN: I built an interactive tool to beat my study

author: Bslou


value: bigbrainmacko

value: I got randomly charged for a Surfshark subscription I forgot I even had. No reminder, I just saw the charge on my bank account. That is how I got the idea of Chrome extension where you could keep track of all subscriptions and get notified before being charged. I know there are lots of apps for this, but since I spend most of my day on the PC, it made the most sense to have it in the browser.

value: Show HN: Trialguard – Subscription tracker Chrome extension

author: bigbrainmacko


value: guivr

value: Show HN: Beautiful CSS Radios Examples

author: guivr

title: Show HN: Beautiful CSS Radios Examples


value: FerkiHN

value:
Hi HN,
I made a lightweight, header-only GIF decoder in C, inspired by stb-style libraries.
No dynamic allocation, portable, and optimized for embedded devices.
GitHub: https://github.com/Ferki-git-creator/TurboStitchGIF-HeaderOn...
Would love feedback or suggestions.

value: Show HN: Easy alternative to giflib – header-only decoder in C

author: FerkiHN


value: sgasser

value: Show HN: Open-source tool that screenshots only the UI you changed

author: sgasser


value: xiwenc

value: Show HN: Get Wildcard Subdomain Instantly

author: xiwenc


value: oldwalls

value: A recursive AI engine that injects chrono-ranked memory into transformer inference using soft-logit biasing, prompt waveform synthesis, and emergent self-referential loops. Built on GPT-2-mini, runs on local hardware, grows its own ghost.

value: Show HN: Sapphire – Unleashing GPT-2-mini into emergence

author: oldwalls


value: Yoric

value:
We’ve just released an open-source library for solving the Maximum Independent Set (MIS) problem with neutral atom quantum computing, running on both quantum processing units (QPUs) and classical hardware, thanks to emulators.
This project is the result of collaboration between Pasqal, academic researchers, and industry partners, aiming to make it practical to experiment with quantum approaches to hard combinatorial optimization tasks.
The MIS problem appears in real-world scenarios like scheduling, resource allocation, and network optimization, areas where classical solvers often struggle as complexity grows. Our library is designed to make quantum optimization more accessible: users provide the problem as a graph, and the solver manages the quantum backend.
- Documentation and tutorials are available to help you get started.
- The codebase is open for feedback, contributions, and discussion.
- The approach builds on recent research with LAMSADE (Université Paris-Dauphine, PSL University, CNRS) and LIP (ENS Lyon, CNRS).
# Source:
https://github.com/pasqal-io/maximum-independent-set/
# Project and docs:
https://pasqal-io.github.io/maximum-independent-set/latest/
# Research paper:
https://www.alphaxiv.org/abs/2502.04291
Happy to answer questions and discuss technical details!

value: Show HN: Open-Source Quantum Solver for Maximum Independent Set Problems

author: Yoric


value: axzilla

value:
Hey HN,
I'm the creator of templUI – an open source UI kit for Go + templ – and I just launched templUI Pro, a paid extension designed for production use.
The OSS version is still maintained and growing. Pro adds 200+ reusable UI blocks and a more structured setup for shipping templ apps quickly.
The stack is simple: Go, templ, HTML, Tailwind, and some light Vanilla JS. No frontend frameworks. No build tools.
Original HN thread for the open source version (from a few months back):
https://news.ycombinator.com/item?id=44132756
Links:
templUI OSS → https://templui.io
templUI Pro → https://pro.templui.io
Happy to answer questions or share more about how it’s built.

value: Show HN: templUI Pro – A minimal UI kit for Go and templ apps

author: axzilla


value: AkiraBit

value: Show HN: A feature-rich, efficient cross-platform image compression application

author: AkiraBit


value:
Here are the keyboard controls:
Arrow Keys: Pan the camera left, right, up, or down.
WASD: Move the reticle (once a pixel is selected) up, down, left, or right.
Enter/Spacebar: Add your pixel to the canvas.
-/+: Zoom the canvas in or out.

value: Show HN: Add a Pixel, the internet's pixel graffiti wall


value: ryry

value:
Hey HN! I wanted to know what was going on in cities/towns where my friends live, so I built Needle.
It uses an LLM + Open Street map to best estimate general locations of stories posted in the past day, and pin them on the map. For stories involving multiple places, I also wanted to show the relation between them.
It's still a little janky, and is limited to mostly Canadian sources of news at the moment, but I'm planning on expanding it shortly, as I'm keen to see what international sources are writing about my home city.
Let me know if you have any questions/feedback!

value: Show HN: Needle – An Explorable Map of the News

author: ryry


value: orangebread

value:
SpecLinter is an MCP server that was born from my personal workflow, so you will find that this may or may not work with your own.
This MCP server enables natural language spec description "use speclinter to parse a feature for signing up users" and turn it into a fully realized feature with a user story/epic and its respective tasks.
How does this differ from what Kiro just released? The differentiator is the integration of Gherkin feature files. These files act as the "linter" where the AI system is essentially validating the implementation to the user journey defined.
I found this workflow to be particularly useful because AI is very good at extrapolating from behaviors rather than pure technical spec.
Please give it a try; I'm always open to feedback. I have longterm ideas that I'm holding on to, but plan on releasing an expanded version of this concept in the coming months.
Thanks for reading!

value: Show HN: Speclinter-MCP, better specs for your coding agent

author: orangebread


value: Show HN: Default-Exploitability Context for CISA Known Exploited Vulnerabilities


value: ashbrother

value:
We initially started building an email client called Taurin, but we’ve since pivoted.
We decided to focus on something we believe we can build even better.
We’re now building a user feedback platform that connects everything from feedback collection to changelogs, roadmap, documentation, and even a blog into a single, streamlined flow.
This helps teams build alongside their users and reach product-market fit faster.
We’re planning to start beta testing with early sign-ups in early August.
We may introduce paid plans later if we add advanced features like customer support widgets. However, features like Changelog, Feedback, Roadmap, and Docs will remain free within reasonable usage limits, since they don’t cost much to maintain. Custom domains will also be supported.
If you’re building in public through HN or are interested in doing so, we believe the free version could already be very useful as you build your product, so we wanted to share this with you.

value: Show HN: Userband: Free User Feedback Platform

author: ashbrother


value: bmf-san

value: ggc is a Git tool written in Go, offering both traditional CLI commands and an interactive interface with incremental search. You can either run subcommands like ggc add directly, or launch the interactive mode by simply typing ggc. Designed to be fast, user-friendly, and extensible.

value: Show HN: ggc – A Git CLI with fuzzy search and interactive workflow

author: bmf-san


value: erinmikail

value: Show HN: Agent Leaderboard 2.0 – Domain Specific edition

author: erinmikail


value: artiomyak

value: Show HN: Resistor Calculator

author: artiomyak

title: Show HN: Resistor Calculator


value: I curated 7 free AI-powered tools for quick image editing and design — no signups or payments required. From Adobe Firefly to Canva Magic Design, the list is focused on ease of use and quality results for creators and marketers. Feedback welcome!

value: Show HN: Free AI Tools for Image Editing and Design (2025)


value: notanaverageman

value:
Hello HN, I am Yusuf from Ohayocorp (https://ohayocorp.com). I have been developing a package manager for Kubernetes and I am excited to share it with you all.
Currently, the go-to package manager for Kubernetes is Helm. Helm has many shortcomings and people have been looking for alternatives for a long time. There are actually several alternatives that have emerged, but none has gained significant traction to replace Helm. So, you might ask what makes Anemos different?
Anemos uses JavaScript/TypeScript to define and manage your Kubernetes manifests. It is a single-binary tool that is written in Go and uses the Goja runtime (its Sobek fork to be pedantic) to execute JavaScript/TypeScript code. It supports templating via JavaScript template literals. It also allows you to use an object-oriented approach for type safety and better IDE experience. As a third option, it provides APIs for direct YAML node manipulation. You can mix and match these approaches in any way you like.
Anemos allows you to define manifests for all your applications in a single project. You can also easily manage different environments like development, staging, and production in the same project. This brings centralized configuration management and makes it easier to maintain consistency across applications and environments.
Another key feature of Anemos is its ability to modify generated manifests whether it's generated by your own code or by third-party packages. No need to wait for maintainers to add a feature or fix a bug. It also allows you to modify and inspect your manifests in bulk, such as adding some labels to all your manifests or replacing your ingresses with OpenShift routes or giving an error if a workload misses a security context field.
Anemos also provides an easy way to use Helm charts in your projects, allowing you to leverage your existing charts while still benefiting from Anemos's features. You can migrate your Helm charts to Anemos at your own pace, without rewriting everything from scratch in one go.
What currently lacks in Anemos to make it a complete solution is applying the manifests to a Kubernetes cluster. I have this on my roadmap and plan to implement it soon.
I would appreciate any feedback, suggestions, or contributions from the community to help make Anemos better.

value: Show HN: Anemos – Open source Kubernetes manifest manager, alternative to Helm

author: notanaverageman


value:
This is a Python port of the git(1) clone that can be found in James Coglan's amazing book, "Building git".
I've definitely had a blast putting it together, and I also learned a lot, both about git and about Python.
I highly recommend the book if you're up for a challenge.  I'd say it's in the same ballpark as "Crafting interpreters", "Writing a C compiler", and I imagine "Building a debugger" (still haven't gone through this one, but it does look promising if you're like me and love this sort of thing).
P.S.
I'm always on the lookout for similar "from scratch" books (and other types of resources, more generally), so please shoot if you're aware of any that I'm not.
Thanks

value: Show HN: A Git(1) implementation written in Python


value: EliasY

value:
Hello HN! I’m Elias.
I’ve been an educator in Engineering and Computer Science for some years, and I'm always looking for ways to make learning more engaging and hands-on. A few months ago, I started experimenting with the idea of a book that changes and evolves as you interact with it.
It started with a chapter on sorting but that snowballed into a 22-chapter interactive book.
My objective in writing this book, was to introduce a more interactive format for technical books that doesn't require internet access, that is lightweight, comprehensive, cross-platform, and can provide a better active learning experience.
Some unique features of the book include:
* 22 Chapters of condensed theoretical treatment spanning 680 pages, on simple and complex data structures and algorithms, paired with over 300 interactive visualizations.
* Code snippets presented in the book can be interacted with, and feature a visual debugger that shows how variables change as the program runs. You can also play, pause, rewind, and step through each snippet.
* There are a variety of solved problems under each topic accompanied by an embedded minimalist python IDE. You can solve problems directly in the book, view multiple solutions with each solution paired with interactive visualisations and code playback.
The book is currently out and available here: https://cartesian.app
Students can also DM me on Twitter (@ElijahYilma) to get an additional 35% discount.
Past Discussion on Reddit: https://www.reddit.com/r/SideProject/comments/1liga56/i_wrot...
I’d love any feedback or improvements you may have, and more importantly, which topics you would like to see covered in this format (CS and non-CS).

value: Show HN: I Wrote a 680-Page Interactive Book on Data Structures and Algorithms

author: EliasY


value: TL;DR: Single-character syntax = significant fewer tokens = cheaper AI costs

value: Show HN: QMD: Quick Markdown

title: Show HN: QMD: Quick Markdown


value: Silletr

value:
Plugin for Neovim that suggests and installs missing libraries based on their names. Works with Python(pip), Rust(cargo add), Lua(luarocks install), Node.js(npm install), will be added: C/C++
Example: :SuggestImports requests bs4 streamlit<p>Looking for feedback and contributors for C/C++ adding

value: Show HN: LazyDevHelper – Suggest and auto-install packages in Neovim

author: Silletr


value: benjaminbenben

value:
I’ve been playing with an idea for rendering video in the 3d space that it was captured. It’s an idea that I’ve been thinking about for a while, and it’s been fun to finally get it working.
There’s more info in the post. Tldr, I used COLMAP to extract camera poses from video frames, then three.js to align and render the video textures.
I'm happy with how the content is loaded, it uses a video element so the browser will be able to start loading frames before any of the component code is initialised.
Check it out and let me know what you think, or if there’s any good ideas of videos I should try.

value: Show HN: Video Space, pose-aligned video playback

author: benjaminbenben


value:
I’ve worked on multiple startups — and every time, finding the right design partner felt like a black box. Most directories are pay-to-play, bloated, or just filled with noise.
So I built Find Design Agency — a curated collection of design studios for founders who care about clarity, originality, and building with taste.
Would love your feedback on what’s missing, what could be improved, and whether this solves a pain you’ve felt.
Live here: https://finddesignagency.com

value: Show HN: A handpicked directory to help founders find great design studios


value: musicstonks

value: Show HN: MusicStonks – A fantasy stock market for music fans

author: musicstonks


value:
I built Locus after spending a lot of time collaborating with AI coding assistants. To get high-quality work from an agent you need a well-structured Markdown brief for every task, and if you run several agents in parallel you need a fast, local way to manage those files. GitHub Issues is conceptually close, but it lives in the cloud and is awkward to drive from a CLI that an agent can call. So I wrote Locus: a Git-native, local-first CLI task manager where each task lives in its own Markdown file that an AI assistant can read and write.
What it is
Locus stores each task as a Markdown file with YAML front matter, auto‑organized by repository at ~/locus/<user>/<repo>/. No server or DB—just plain files you can edit in VS Code, Obsidian, or any Markdown editor.
Key features
– Git‑aware, offline‑first directory layout
– Tags / status / priority managed from the CLI
– JSON output for scripting or LLMs
Quick try (Deno)

    deno install -q -A -n locus jsr:@tesso/locus
    locus add "Write Show HN post" --tags writing,show-hn
    locus list --detail

Feedback and PRs welcome!

value: Show HN: Locus – Git‑aware CLI task manager using Markdown


value: tunabr

value: Show HN: Codecaster – simple and professional screencast for developers on macOS

author: tunabr


value:
Explore reliable free APIs for developers — ideal for web and software development, covering AL/ML, finance, sports and more.<p>860+ APIs that no auth required.
Monitoring Reliability every single day.
Test ednpoint directly in your browser.

value: Show HN: A directory of 800 free APIs, no auth required


value: pacmansyyu

value:
Hi HN, I've been building this tool for the past couple of weeks to solve a problem that seems universal across development teams: sharing environment variables securely.
You know the drill - someone needs the staging database URL, so it gets shared over chat. Production API keys end up in plaintext files. Or you set up some complex secret management system that becomes a single point of failure during critical deployments.
At Zerodha, we're a stock broker with strict regulatory requirements. Our infrastructure needs to be auditable, and our data must stay with us for instant recovery. But the deeper issue was that every solution we tried made deployments dependent on external services.
We tried GitLab CI's built-in secrets, but they're stored unencrypted and only repository maintainers can access them. HashiCorp Vault was too complex to manage with painful ACL setup, plus it's now crippled by their BSL license change. AWS Secrets Manager would create the vendor lock-in we wanted to avoid.
The breaking point came when we wanted to manage secrets through Terraform for idempotency and better infrastructure-as-code practices. But Terraform has no built-in way to encrypt secrets without relying on external providers. We could either store secrets in plaintext in our Terraform configs or add yet another external dependency to our deployment pipeline.
That's when I had the idea: what if we could inject encrypted environment variables directly into Terraform, so anyone with the right key could deploy without hunting down secrets from different systems? As I iterated through this idea, I realized the same pattern would work for any application - from personal projects to team deployments.
So I built kiln. It encrypts environment variables using age encryption into files that live alongside your code. No servers, no network calls, no external dependencies. Each team member gets their own key, and you control access per environment.
Here's how it works:

  # Generate a new age key, or use your existing SSH keys
  kiln init key

  # Initialize with your team's public keys
  kiln init config --recipients "alice=$(curl https://gitlab.company/alice.keys)" --recipients "me=$(cat ~/.ssh/id_ed25519.pub)"

  # Set secrets (prompts securely, never shows in terminal)
  kiln set DATABASE_URL
  kiln set API_KEY

  # Run your app with decrypted environment
  kiln run npm start

  # These encrypted files are safe to commit
  git add .kiln.env kiln.toml

Why not SOPS? SOPS is great for general file encryption, but kiln is built specifically for the environment variable workflow. It has commands like "run", "export", and built-in team management. Think "SOPS for .env files" with a focus on developer UX.
Why not raw age encryption? Age is perfect for the crypto layer, but terrible for day-to-day team workflows. Try managing 20 team members across 5 environments with raw age commands - you'll go insane. kiln handles the orchestration.
As for technical details, kiln:
- Uses age encryption (modern, audited, simple)
- Works with existing SSH keys or generates new age keys
- Role-based access via TOML configuration
- Single, cross-platform Go binary
- Zero network dependencies - everything works offline
- MIT licensed
The game-changer: secrets travel with code. No more "can someone send me the staging secrets?" in chat. No more broken deploys because the secret service is down. No more hoping your vendor doesn't change their pricing or licensing.
Try it out - I'm confident it'll help improve your team's deployment workflows. Feel free to ask me any questions!
GitHub: https://github.com/thunderbottom/kiln
Docs: https://kiln.sh
Or install now: go install github.com/thunderbottom/kiln@latest

value: Show HN: kiln – Git-native, decentralized secret management using age

author: pacmansyyu


value: Show HN: Strudel

title: Show HN: Strudel


value: sebsanswer

value:
Hey HN,
I’m Sebastian, and I just launched Stibbly.com - a tool built for Amazon sellers, agencies, and competitive intelligence teams to stay on top of every change across their product landscape.
If you tired of manually checking dozens of ASINs every morning, only to miss updates or spend hours hunting through revision histories. Stibbly automates that entire process so you never miss a tweak in your competitors’ listings again.
With Stibbly you can:
- Track every listing change - Monitor titles, bullet points, descriptions, and even specification tables, and more
- Visual evolution of images - See side-by-side diffs of product images over time, so you know when a brand updates lifestyle shots, new angles, or packaging visuals
- Daily monitoring, zero effort - Stibbly scans your chosen ASINs every 24 hours and flags any modifications directly in your dashboard
- Custom ASIN lists - Add your portfolio of products or competitors’ items to get hyper-focused insights on exactly what matters to you
- Exportable change logs - Download CSV or JSON reports to feed alerts and analytics into your own BI tools
There’s no need to cobble together custom scripts or manually scrape the site. Just sign up, drop in the ASINs you care about, and get started with:
- A growing visual library of leading brands and how they’re evolving
- Side-by-side content diffs to reverse-engineer messaging strategies
- Specification and price tracking so you’re always in the know
Stibbly is fresh off the press, and if you’re an Amazon seller, agency, or love data-driven insights, give it a spin: https://www.stibbly.com
Happy to answer any questions or hear your feature requests.
Feedback is welcome!

value: Show HN: Stibbly – Amazon Product Change Tracking

author: sebsanswer


value: rnaga

value:
WP-Node is a TypeScript project that lets you build apps, scripts, and automation tools using data from a WordPress database — without needing to run the WordPress PHP runtime at all.
It gives you:
* Fully typed access to core WordPress tables (posts, users, terms, meta, etc.)
* A CLI framework to run custom commands, queries, and migrations
* Utilities to build headless APIs or background jobs (like cron tasks)
Support for both single-site and multisite WordPress
Use it to:
* Build apps in Next.js, Express, or serverless environments
* Write migration scripts, cleanup tools, or data sync jobs
* Avoid dealing with WordPress internals if you only need the database
It doesn’t replace WordPress — but makes it easier to use WordPress as a backend.
Would love feedback from others building tools on top of WordPress or modernizing legacy systems!

value: Show HN: WordPress Without PHP – Build Apps and CLI Tools in TypeScript

author: rnaga


value: jdmelin

value:
Hi HN - I built LangWhich (https://langwhich.app), a quick browser game where you try to visually recognize the world’s most spoken languages—just from the written form of a single word or phrase.
It’s a 5‑round daily challenge shared by all players:
- 30 seconds total to finish all 5 rounds
- Each round shows a different language
- Choose the correct one from 5 multiple‑choice options
- Scoring: 15 points per correct answer + up to 25 bonus for speed (max 100)
It currently rotates among the 20 most spoken languages, mixing different scripts (Latin, Cyrillic, Arabic, Devanagari, Kana) and closely related orthographies (e.g. Dutch vs German, French vs Portuguese).
Thanks for checking it out! I’d appreciate any feedback or questions.

value: Show HN: LangWhich – a 30‑second daily challenge to recognize languages

author: jdmelin


value: Charlieholtz

value: Show HN: Conductor, a Mac app that lets you run a bunch of Claude Codes at once

author: Charlieholtz


value: sawradip

value:
RunAgent eliminates the complexity of AI agent deployment across different frameworks and languages.
Today's developers face deployment nightmares with fragmented frameworks (LlamaIndex, LangChain, LangGraph, CrewAI, Letta, Agno, etc.) each requiring different deployment processes, creating unnecessary friction.
The Solution: Like MCP (Model Context Protocol), RunAgent provides a standardized approach to agent deployment. Developers simply provide a config file and their agent code - RunAgent handles the rest with REST API and WebSocket (Streaming and non streaming). Our open-source platform supports any framework through our agentic framework agnostic deployment approach, accessible via SDKs (Python, JavaScript/TypeScript, Go, Rust and many more coming soon). So our goal is the AI agents for every developer, in every language.
RunAgent is MCP for Agent Deployment.

value: Show HN: RunAgent; Multi-Framework Agent Deployment and Rust,Go,JS SDKs(+others)

author: sawradip


value: ileonidas

value:
I built a collection of live monitoring systems that connect to your business data and continuously send optimization recommendations via email. No dashboards to check, no software to install – just automated insights delivered to your inbox.
What it does:
• Workforce Scheduling Monitor – Connects to employee databases, optimizes shift assignments, emails scheduling recommendations (20-25% labor cost reduction)
• Inventory Optimization Tracker – Monitors stock levels, calculates optimal reorder points using EOQ algorithms, emails purchase recommendations (15-30% inventory cost reduction)
• Route Optimization Monitor – Analyzes delivery routes, solves Vehicle Routing Problems with Time Windows, emails route improvements (10-20% fuel cost reduction)
The key insight: Most optimization tools require you to log in, check dashboards, and manually act on insights. These systems flip that – they actively monitor your data and proactively send actionable recommendations when opportunities are detected.
Technical approach:
Mathematical optimization algorithms (integer programming, constraint satisfaction, genetic algorithms)
n8n workflows for automation and data pipeline orchestration
Google Sheets integration for easy data connectivity
Email delivery for zero-friction consumption of insights
Continuous monitoring with configurable alert thresholds
Built this after realizing that most optimization solutions gather dust because they require too much manual intervention. These systems make optimization truly passive – they work in the background and only interrupt you when there's money to be saved.
Would love feedback from the HN community, especially from anyone running operations where these types of optimizations could help!

value: Show HN: Rastion – Autonomous Monitoring Systems

author: ileonidas


value: johnnybilliard

value:
Only available for Apple M-series. Soon for non-M and PC.
Hi HN,
I built ClueWing to help us suck less at meetings. It worked well with me :)
* 100% local AI. All processing happens on your system. There are no recordings, no cloud uploads, no data leaving your machine - your audio stays yours.
* Non-intrusive. ClueWing never joins the call as a bot, it just floats beside Zoom, Teams, Meet, Slack Huddles, Discord, or any other meeting tool.
The goal is to help you contribute confidently, spot hidden objections, and wrap up with clear action items, not to store transcripts on someone else's server.
To try it:
Download via https://gumroad.cluewing.com
Use code MACAPPS25 at checkout for a free lifetime license (expires end of this week).
Looking for feedback on:
* Does the real-time "traffic light + cue" format actually help you in live calls?

value: Show HN: ClueWing: 100% private, on‑device meeting coach (free lifetime license)

author: johnnybilliard


value:
Hi HN,
For the last 18 months, I've been working solo on building a completely independent search engine from scratch. Today, I'm opening it up for beta testing and would love to get your feedback.
The project powers two public sites from the same 2-billion-page index:
Searcha.Page: A session-aware search engine that uses a persistent browser key (not a cookie) for better context.
Seek.Ninja: A 100% stateless, privacy-first version with no identifiers at all.
The entire stack is self-hosted on a single ~$4k bare-metal EPYC server in my laundry room (no cloud, no VC funding). The search pipeline is a hybrid model, using a traditional lexical index for the heavy lifting and lightweight LLMs for specific tasks like query expansion and re-ranking. It's an experiment in capital efficiency and digital sovereignty—proving you don't need Big Tech APIs to compete.
I’m looking for feedback on search result relevance, speed, and the clarity of the privacy models. Please try it out and let me know what you think.
Links:
https://searcha.page
https://seek.ninja
Thanks,
Ryan

value: Show HN: I built a 2B-page search engine, independent of Google/Bing


value: piotraleksander

value: Show HN: I turned YC SAFE guide into an interactive blog post

author: piotraleksander


value:
I created this little web app for my kids. Then people suggested other alphabets, scope creeped somewhat.
It's all static no backend.
The idea came from a game my father and I used to play when walking places in the 1980's. Someone says a word starting with A, the next person tries to continue the conversation with a word starting with B, continue until the end of the alphabet. You can get some funny sentences with it. I've also had games of it with adults in a bar setting so it's not just for children.
Players can be 1, my son likes to see if he can do it without repeating words. Upto 26 for English Latin.
On a privacy note, I've no analytics or any tracing and it should work offline fine.

value: Show HN: Fun Sentence Game

title: Show HN: Fun Sentence Game


value: tinymagician

value: Teaching myself about gene editing and translating the science into the clinic. Hopefully useful to others. Please let me know what you think

value: Show HN: Detailed explanation and guide to understanding gene editing treatments

author: tinymagician


value: csirkezuza

value: There's a brand new live demo of Kuvasz Uptime available—so you can try it out without setting anything up! Check it out: https://kuvasz-uptime.dev/demo/

value: Show HN: Added a live demo to my uptime monitoring tool, called Kuvasz Uptime

author: csirkezuza


value: AbjMV

value:
Hey HN,
Lattix is a 100% local macOS workspace/app launcher that can launch entire app and file layouts across multiple monitors. I built Lattix to solve a personal pain point: constantly setting up the same apps, tabs, files, and their window layouts every time I switch between projects or contexts. Built using SwiftUI.
Would love your feedback or ideas — happy to answer anything!

value: Show HN: Lattix – A native macOS launcher for project-based workspaces

author: AbjMV


value: daniellax

value: Show HN: Advanced Percentage Calculator-Professional Calculators in One Platform

author: daniellax


value:
It is powered by Rust
most “open” AI devices are actually closed on the backend, limiting customization and privacy.
EchoKit is fully open—from ESP32-S3 hardware to the Rust-based server. You can customize ASR, TTS (including voice cloning), LLM prompts, and even add your own MCP actions.
We’d love your feedback, ideas, and contributions. Try it out, check the code, and let us know what you think!

value: Show HN: EchoKit –Fully Open Source AI Voice Agent Hardware and Server


value: kilic

value:
I built Claude‑CMD, an open-source command-line interface for working with Claude Code commands, configurations, and AI-driven workflows. It’s designed to help developers and PMs streamline how they interact with Claude Code in coding tasks, automation, and prompt management.
Website: claudecmd.com
Happy to answer questions or hear suggestions. You can also contribute your own commands to help improve the project. Contributions welcome!

value: Show HN: Claude‑CMD – A CLI for managing Claude Code commands and workflows

author: kilic


value: SaaSified

value: Show HN: AI tool to remove backgrounds,change clothes,and animate product photos

author: SaaSified


value: jkantola

value:
Hi HN,
I've been developing my first desktop application "Athilio" which has been available for some time now.
Coupe of reasons why I built the app:
1. I wanted to do some user interfacing software outside of my "real job" where I basically only work with backend and infra
2. I wanted software where I could combine my data from my Garmin or Polar watch which I use to track my training sessions and my Oura ring which I use to track my daily activity and recovery
3. I wanted to try and build some features by applying LLMs (I know this reasoning is a bit backwards)
For the 2nd point there is already quite well established apps, but to me all of them honestly seem just crazy expensive. I would consider myself somewhat of a "lone wolf" fitness/sports person so I don't really want coaching or social features which  many of these "training data aggregator" apps usually push on you. Also basically all of them are web/cloud services.
So my solution has no social features, all features work only around your own data, data is hosted on your own machine (sqlite). You could plan and view your training sessions with a Garmin watch completely offline with the app. User account is basically only needed for automatic downloading of your new data from your wearables service and a couple of AI features. For these reasons the paid tier is very affordable. Many of the concepts and usage flows are inspired by some common software observability solutions and concepts.
So some of the features are behind a paywall, free 14 day trial on sign up, no payment method needed.
The app is available for Windows: https://apps.microsoft.com/detail/9nqqc3qb5z52?hl=en-GB&gl=F... and for macos: https://www.athilio.com/downloads
Would be great to have feedback and feature suggestions!

value: Show HN: Athilio, software observability inspired training/wellness desktop app

author: jkantola


value: akoculu

value: Show HN: Mitte – AI Creative Suite

author: akoculu

title: Show HN: Mitte – AI Creative Suite


value: dqnamo

value: Show HN: I built a cute focus timer where you can grow an infinite garden

author: dqnamo


value: kooshaazim

value:
I’d like to use LLMs for remembering all kinds of things: fitness, to-do lists, contacts, bug reports, research links, whatever. But there is no way to do that now.
For example, if I find a great coding tutorial in chat, or tell it how much I ran yesterday, it forgets that when I close the chat. Even if I keep the chat history, I still need to scour through lots of messages to find the data I want. Ideally, Claude would remember all this, and I’d be able to find it later with ease. This is what my team built.
It is a collaborative database you add to any LLM that supports MCP. (Claude Code, Desktop, and Pro for now; ChatGPT will soon). You can add, update, and search for items in the database inside chat. You can easily create your own object schemas. There is an automatically generated web UI for using the database. It generates maps, charts, calendars, tables, lists, and other UI elements. You can share or publish the database as well.
Over time, we want to make this database powerful enough to make our lives much simpler by letting LLMs replace a bunch of the apps and software services we use daily.

value: Show HN: Object database for LLMs that persists across chats (MCP server)

author: kooshaazim


value: turbokit

value: Show HN: Flight status UI concept I coded

author: turbokit


value: EGreg

value: Show HN: Being a "100x developer": added DB adapters for MySQL, Postgres, SQLite

author: EGreg


value:
ChatGPT is taking market share from traditional search engines. Therefore, it becomes more important to be mentioned in ChatGPT’s results.
We made this extension for marketers to find out which search terms ChatGPT uses to search the web.
Based on that, marketers can improve their ranking for these keywords to hopefully be mentioned by ChatGPT.
Hope this helps to improve your ranking in ChatGPT.

value: Show HN: Chrome extension to optimize your site for ChatGPT search results


value: aditbala

value:
Hey HN,
I recently finished a new portfolio website!
Frontend

  • Terminal-style UI, built to run local-first (except for the AI query)

  • All content served from an in-browser SQLite database

Backend

  • Twice-daily sync with my Notion workspace via GitHub Actions

  • Automatically updates RAG embeddings for AI queries

  • Dumps a snapshot of the Notion DB into SQLite for the frontend

I designed the backend as a standalone “knowledge-base” engine so future site iterations can focus purely on the UI. It may not be the most optimized architecture, but it handles sync, embedding, and snapshot storage—all in one place. I hope others might also find this useful, or make something even cooler with it!
Also, very open to any feedback as well!
Frontend repo: https://github.com/adit-bala/portfolio
Backend repo: https://github.com/adit-bala/knowledge-base

value: Show HN: Portfolio Site with AI Agent and Notion‑CMS Pushed as GitHub Snapshots

author: aditbala


value: pomerantsev

value:
There’s no shortage of web accessibility testing tools, however there are currently none that I know of that do all of the following:
* provide immediate, up-to-date feedback on issues created by the code that I’m writing;
* make that feedback really hard to ignore;
* scan the rendered page (as opposed to the source code).
So I built Accented, an open-source tool that satisfies all of the above criteria.
You can read more about what it does and how it’s different from other approaches at https://accented.dev/blog/2025-07-16-introducing-accented/
Here’s also a playground where you can poke around without installing anything: https://stackblitz.com/edit/accented-playground-react-ts?fil...

value: Show HN: A browser-based accessibility checker that integrates into web projects

author: pomerantsev


value:
Hi HN — we're the team behind Arch (an open-source edge and service proxy for agents)[1], and today we're releasing Arch-Router (https://huggingface.co/katanemo/Arch-Router-1.5B), a 1.5B LLM router model designed to align to user-defined preferences, not public benchmarks and leader boards.
As teams integrate multiple LLMs - each with different strengths, styles, or cost/latency profiles — routing the right prompt to the right model becomes a critical part of the application design. But it's still an open problem. Most routing systems fall into two camps:
- Embedding-based routers use intent classifiers — label a prompt as “support,” “SQL,” or “math,” then route to a matching model. This works for simple tasks but breaks down in real conversations. Users shift topics mid-conversation, task boundaries blur, and product changes require retraining classifiers.
- Performance-based routers pick models based on benchmarks like MMLU or MT-Bench, or based on latency or cost curves. But benchmarks often can't capture what matters in production: domain-specific quality or subjective evaluation criteria. These routers are often opaque, difficult to debug, and their quality judgments can feel arbitrary, failing to capture the subjective nuance of what a “good” response actually means for a specific user’s intent.
Arch-Router takes a different approach: route to LLMs based on preferences written as policies in plain ol English.
You write policies like “contract clauses → GPT-4o” or “quick travel tips → Gemini Flash.” The router maps the prompt (and the full conversation context) to those policies using a lightweight 1.5B auto-regressive model. The model is capable to handle intent drift, supports multi-turn conversations, and lets you swap in or out models with a one-line change to the routing policy. To read more about the strength of our model, check out our research paper here: https://arxiv.org/abs/2506.16655
Essentially, Arch-Router splits the routing process into two distinct parts:

    Route Selection: This is the what. The system defines a set of human-readable routing policies using a “Domain-Action Taxonomy.” Think of it as a clear API contract written in plain English. A policy isn’t just intent_123; it’s a descriptive label like Domain: ‘finance’, Action: ‘analyze earnings report’. The router’s only job is to match the user’s query to the best-fit policy description.

    Model Assignment: This is the how. A separate, simple mapping configuration connects each policy to a specific LLM. The finance/"analyze earnings report" policy might map to a powerful model like GPT-4o, while a simpler general/"greeting" policy maps to a faster, cheaper model.

Specs:
- 1.5B params — runs on a single GPU (or CPU for testing)
- No retraining needed — point it at any mix of LLMs
- Outperforms larger closed models on our conversational routing benchmarks (details in the paper)
Links:
[1] Arch Proxy: https://github.com/katanemo/archgw

value: Show HN: 1.5B LLM routing model that aligns to preferences, not leaderboards


value:
Hey HN!
I got the idea for this during the Lovable AI competition and decided to turn it into a Chrome extension. TrueSift helps verify the accuracy of online content in real time.
What it does:
- Uses AI to analyze text on any page and highlight questionable claims.
 - Provides quick fact-check summaries and trusted sources without leaving the page.
 - Lightweight and privacy-conscious (no unnecessary data collection).
Why I built it:
Misinformation spreads fast, and I wanted a tool that makes truth-checking effortless for readers, journalists, and researchers.
Try it out:
 truesift.dev
I’d love feedback on:
UX: Is the flow intuitive?
Speed & Accuracy: Does it feel responsive?
Features: What would make this more useful for you?
It’s still an early build, so I’m open to suggestions!

value: Show HN: TrueSift – AI-Powered Real-Time Fact-Checking Chrome Extension


value:
Hi everyone!
In my free time, I’ve been working on a small side project and wanted to share it with you.
FavBox is a local-first, experimental browser extension that helps you manage your bookmarks more easily, without relying on cloud storage or third-party services.

value: Show HN: FavBox is a local-firs browser extension for bookmark management


value: jerpint

value:
Hey HN, i've been finding myself explaining the same things over and over to LLMs, especially when using tools like cursor and Claude Desktop side by side.
I wanted to have a way to keep track of context, and easily load it, so i built context-llemur (ctx). It's a CLI tool that allows you to track context for any ideas/projects. It supports MCP too so you an easily load your context anywhere. At its core, it is a git repository, and is meant to work with plaintext files and folders to which you add whatever context is relevant to your project.
You can save progress with "ctx save" and load it via MCP with "ctx load". Each ctx folder contains by default a ctx.txt which gives full context to the LLM about the tool itself and how it works so it immediately knows how to use it.
I've used ctx to bootstrap the ctx library - and have found it very useful to build with!
Another use-case I've been using it for is tracking my workouts - basically set my goals with Claude and let it suggest new routines. I put all my preferences in the context/ folder, e.g. what i'm working, what kind of workouts etc. and just ask Claude to build me an artifact for my new workout. I can then ask it to save the progress using ctx save
Under the hood is just git and text files - no embeddings. This is a deliberate decision as I've noticed that 1) context windows are getting longer 2) most agents are using their own retrieval magic sauce that seems to work pretty well already. So far, I haven't hit any issues with context lengths, and if anything it encourages me to keep contexts to their bare minimum.
Let me know what you think!

value: Show HN: I built a context-engineering CLI/MCP tool

author: jerpint


value: volukren

value:
Hey HN,
Today(july 17) is Emoji Day! Yay!
I love building websites, but I don't have the time to create unique logos for each one. So, I always use emojis as favicons and apple touch icons
But it's always a hassle: you need to find a png, resize it, compress it, and so on
So, I created emojiassets.com – where you can pick any emoji and download a zip file with all the necessary icons in standard sizes
Enjoy!

value: Show HN: I made EmojiAssets: click an emoji, get favicons and Apple touch icons

author: volukren


value: anaempromptu

value:
Hey HN! We're Empromptu.ai, an AI app builder that builds AI apps (RAG, models, evals all built in every app)
Demo: https://app.storylane.io/share/rtneodkf5i1l
We started Empromptu after burning through thousands of credits on AI builders and hitting the same problem: cool looking prototypes or demos that break with real users.
The issue wasn't the building process, it was accuracy. Most AI applications plateau at 60%~ reliability, which is fine for prototypes but it's unusable in production. We realized these tools aren't really "AI app builders", they're website builders that happen to use AI.
We wanted to solve the hardest problem first: making AI applications actually work reliably.
Our approach centers on what we call dynamic optimization. Instead of cramming every possible scenario into one massive prompt (which confuses LLMs), our system adapts contextually. A travel chatbot automatically knows to mention LAX for Los Angeles vs. Pearson for Toronto. This consistently delivers 90%~ accuracy versus the industry standard 60%~.
But accuracy alone wasn't enough because we also needed to solve the builder gap:
- Simple builders (Lovable, Bolt): Create static websites, not AI applications
- Complex ML tools: Require dedicated teams most startups don't have (Arize, Voxel51) - we've also heard from both technical and non-technical founders that they found these tools very complex
- What's missing: Tools that build applications where AI is embedded functionality
So we built AI agents with optimization built-in. Users just type what they want to build and our agents handle the full development pipeline: creating applications with embedded models, RAG and intelligent processing. You can deploy to your own infrastructure via Netlify, GitHub or download it directly since you can run it locally.
The result: Startups, solo hackers and enterprises can build AI apps or AI features without hiring a dedicated ML team.
Waitlist: https://empromptu.ai
We'd love feedback from the HN community — esp. if you've hit similar accuracy problems or thoughts on the technical approach.

value: Show HN: Empromptu.ai – Agentic AI Building AI Apps

author: anaempromptu


value:
I had been using Knowledge Graph Memory Server.(https://github.com/modelcontextprotocol/servers/tree/main/sr...)
And ofcourse, I wanted to see the memory visually.
Works for any Claude user's memory.json with zero config.
Shows entities and relationships as an interactive graph with physics simulation. You can filter by type, search observations, and click nodes for details.
Works with the standard Claude Memory MCP format (NDJSON).
GitHub: (https://github.com/srijanshukla18/claude-memory-viz)
The visualization in the README is from my actual Claude memory - 72 entities, 93 relationships. Pretty cool to see how the AI organizes knowledge.
This is 100% vibe coded.
Also, my friends are using it to try and build something cool that gets on the same idea of wanting to see your stuff visually, get on the list if you are interested - https://tally.so/r/w7Ork9

value: Show HN: Claude Memory Visualizer

title: Show HN: Claude Memory Visualizer


value:
After your team has signed up for a new SaaS or service, I find it bland when everyone has the same generic, grey avatar. I'm a visual person and find it helpful to distinguish users by colors in their avatars, but many people never change from the default avatar. So I thought to myself, why not generate interesting avatars for users when they sign up.
The result is this little gem. It randomly chooses from a set of backgrounds, colors and head shapes, and put a letter on the generated avatar. This should be enough combinations so the change of users getting the same avatar generated is next to zero. It can produce SVGs or JPEGs, depending on your use case. More styles can be added somewhat easily.
I'm already using it for https://magicell.com/ and haven't seen any duplicates.
I am very open to feedback on this so please let me know what you think.

value: Show HN: Default Avatar Generator

title: Show HN: Default Avatar Generator


value: ystepanoff

value: Show HN: Groolp, a task automator written in Go

author: ystepanoff


value: turbokit

value: Show HN: Drag to sort card UI (CodePen demo)


value: pardnchiu

value:
hi~
i  open and start a long-term project to implement a database for gaining a deep understanding of modern database architecture and implementation
this project is an extend project of [go-redis-fallback](https://github.com/pardnchiu/go-redis-fallback), to use same cache skill to build a tcp connection database with aof logging and mongodb-like query features
with projects web-monitor, cim-prototype, rss-reader, im skilled in cmd parse and set action, so the next step is to build my own database for sharing
i already completed these features
Complete Database System Architecture
- TCP Server: Implements a TCP server listening on `127.0.0.1:7989`
- CLI Client: Supports `cli` interaction and command execution mode (`-c` parameter)
- Multi-Database Support: Allows switching and isolated storage for up to 16 databases (0-15)
Basic KV Operation System
- Core Operations: Fully implements `GET`, `SET`, `DEL`, `EXISTS`, `TYPE`
- Pattern Matching: `KEYS` command supports wildcard search with `*` and `?`
- TTL Management: Fully implements `TTL`, `EXPIRE`, `PERSIST`, with automatic expiration cleanup
- Type System: Automatically detects types like `string`, `int`, `object`, `array`
Dual Storage System
- AOF Persistence: Logs commands and supports automatic recovery on startup
- File Caching: MD5 hash-based three-level directory structure (data/0/ab/cd/ef/hash.json)
- JSON Format: Includes `created_at`, `updated_at`, `expire_at`

value: Show HN: JsonDB – A Redis-like KV store with MongoDB query in Go

author: pardnchiu


value: dahuangf

value: As a developer, I wanted to create a simple-to-use tool that helps anyone easily generate high-quality banner designs without needing any design experience. BannerGraphic.top uses AI to automatically generate creative banners based on minimal input from the user. Unlike traditional design tools, our advantage is that the AI provides unique, personalized design solutions that are both fast and flexible. Whether it's for ads, social media promotions, or personal projects, it gets the job done easily.<p>If you're looking for a fast, efficient, and creative banner design tool, feel free to visit BannerGraphic.top and give it a try!

value: Show HN: Quickly Generate Creative Banner Designs with AI

author: dahuangf


value: roskoalexey

value:
Hi HN,
I've been working solo on a visual builder for React Native apps for the past year.
It allows you to:
- Build UI visually with drag-and-drop
- Preview changes in real-time on multiple devices (via Expo Go)
- Export clean, simple Expo/React Native code you can run with `npm install && npm start`
The idea is to help developers (or small teams) prototype faster, and bridge design/dev handoffs more smoothly.
It’s still in early stages, and I’m looking for feedback.
1-minute demo video: https://youtu.be/jgI21qXehKA
Try it here: https://clickly.app
Would love to hear your thoughts!
- Alexey

value: Show HN: UI builder for React Native with real-time preview and code export

author: roskoalexey


value: Show HN: CISA CVEs with Precondition Reasoning and Default Exploitability


value: singularitygz

value:
Hey HN! I'm Guojun, creator of Cursor Autopilot.
Most of my day using Cursor involves babysitting—I sit there reviewing the AI agent’s output, hitting "continue," and repeating. Honestly, it's tedious, especially since those 2-minute waits always tempt me into another round of doomscrolling.
So I thought: wouldn’t it be great if I could step away, grab coffee, or just relax while still managing Cursor from my phone?
I quickly hacked together Cursor Autopilot, a simple extension that's now available on the Cursor Extension marketplace. It sends your Cursor chat summaries directly to Telegram or Feishu, where you can reply with a quick "1" to continue or even type out new instructions—no need to stay glued to your desk.
Setup is super simple, and I've been dogfooding it happily over the past few days. It's open-source too, so you can easily add your favorite messaging platform like Slack or WhatsApp.
I'd love to hear your thoughts! Feel free to drop questions or feedback here, or open an issue directly on GitHub.

value: Show HN: Cursor Autopilot – Control your Cursor chat via Telegram and more

author: singularitygz


value: AkiraBit

value: Show HN: A feature-rich, efficient and flexible image compression application

author: AkiraBit


value: stagas

value: Show HN: VinylSpin.video – Create Beautiful Vinyl Spin Videos

author: stagas


value: Show HN: Take – process file lines with a logic-like language


value: SamiCostox

value:
Hi HN,
UML diagrams were meant to standardise system design, but they’ve become outdated — slow to build, hard to change, and rarely used in practice. Most tools feel clunky, and diagrams often go stale fast.
I’m building RapidChart, a tool to bring diagramming back to life — fast, flexible, and developer-first.
What makes it different:
Cursor-style interface for rapid diagram creation
Fully customisable and exportable
AI-assisted (works with GPT-4, Claude, etc.)
100% free
This began as part of my research at Imperial College London, and I’d really value your feedback.
Here’s the link: https://www.rapidcharts.ai
Thanks!

value: Show HN: UML is dead – so I'm building the tool to revive it

author: SamiCostox


value: vanilagy

value: Driven by Mediabunny and WebCodecs.

value: Show HN: Self-made web media player without <video> or <audio>

author: vanilagy

story_text: Driven by Mediabunny and WebCodecs.


value: aarondelasy

value:
Forms are one of the most critical interactions with customers, yet building beautiful, on-brand forms is usually clunky and developer-heavy. FigForm solves that by giving marketers and designers a Figma-like interface to create stunning, conversion-first forms - all without writing a single line of code.
FigForm is a free form builder featuring a drag-and-drop, pixel‑perfect editor designed for building visually rich, high‑converting forms and surveys.
FigForm's Figma-style interface empowers users to drag&drop, and style form elements with pixel‑level precision - no code required. Create landing page‑ready forms or embedded widgets that seamlessly match your brand.

value: Show HN: FigForm – Feel the power of Figma when creating customized forms

author: aarondelasy


value: ahonn

value: What is Macuse? It's a MCP server specifically designed for macOS, providing AI assistants with deep system integration capabilities. I built it because I was frustrated that my AI could only answer questions but couldn't actually perform any actions on my Mac.

value: Show HN: Macuse – Give Your AI Superpowers on macOS

author: ahonn


value: DaniTurner

value:
I found myself spending hours researching different apps, tools and resources to solve a business automation problem in my real estate business.
I ended up with a long list of resources so decided to make Property AI Tools to help others having the same problem.
You'll see it's not an exhaustive list but I've tried to keep all the tools reputable and suitable for business use.
I test new tools every week and update the list regularly.
Hope a few people find it useful.

value: Show HN: I created a resource to find the best AI apps for Real Estate

author: DaniTurner


value: antonpodolsky

value: Originally tailored for photographers by showing camera info and settings on image hover, it now also allows to view and search the full metadata.

value: Show HN: Exify – EXIF viewer extension for desktop browsers

author: antonpodolsky


value: Esrbwt

value: Show HN: The Aletheia Protocol – A blueprint for a web without exploitation

author: Esrbwt


value: alenmangattu

value: Built a simple diffusion transformer model from scratch yesterday, figured I'd drop it here for anyone curious

value: Show HN: Small-Dit, minimal implementation of Diffusion Transformer from scratch

author: alenmangattu


value: lenvl

value: Find Reddit conversations where your product fits and connect with real customers. We delivering ready-to-engage opportunities for leads, feedback, and growth in minutes. Without the guesswork.

value: Show HN: Mention.click – Ideate, validate and find leads on Reddit

author: lenvl


value: bosmarcel

value:
Hi HN
I built *fluent-state*, a lightweight React hook that replaces useState, useReducer, useMemo, and useEffect.
It gives you:
- A fluent, proxy-based API: `state.user.name('Joe')`
- Immutable updates without spread logic
- Automatic dependency tracking
- Built-in `compute` for reactive, memoized derived state (no useMemo needed)
- Built-in `effect` for reactive side-effects with automatic dependency tracking (no useEffect needed)
- Zero boilerplate, full control
Designed for local state, nested structures, and clean, declarative code.
Demo: https://stackblitz.com/edit/vitejs-vite-uh4kyzkf?file=src%2F...
GitHub: https://github.com/marsbos/fluent-state
NPM: https://www.npmjs.com/package/fluent-state
Try it out plz.

value: Show HN: Fluent-state: a new fresh take on local React state

author: bosmarcel


value:
Another news on Roceet. Last time I posted I mentioned Roceet (now Roceet Share), a file sharing platform as a solution to transferring data between devices. It was motivated by seeing my fiancee struggling to transfer data between her phone/laptop.
I found another pain point: she’s a wannabe model, and the process of feedback and selecting photos is a mess. Big folders, endless emails, no good feedback tools.
So I built Roceet Review. Upload photos/videos/whatever, share a review link, clients can approve pics, comment, even draw on the photos if they want to be specific.
Its kind of a pivot from my original idea about Roceet. But Roceet Review is an extra tool on top of the offer. No extra cost, same architecture, so it didn’t take forever to build.
Any feedback is welcome! Use YC100 for 1 month free. Whoever gives me feedback, I'll give you the product for free forever. I really need help shaping this.
link: https://roceet.com
Old post: https://news.ycombinator.com/item?id=43754748

value: Show HN: Roceet Review – I built a tool for client file approvals and feedback


value: tonypapousek

value:
If this gets any appreciable attention, I'll pony up for more tokens. Currently using gemini-2.5-flash, so hopefully shouldn't get bogged down right away.
With thanks to jxmorris12, and apologies to akinator.
Read the inspiration: https://blog.jxmo.io/p/there-is-only-one-model

value: Show HN: Play "Mussolini or Bread"

author: tonypapousek

title: Show HN: Play "Mussolini or Bread"


value: softwareiseasy

value: Show HN: Brainfork – Create a personal RAG MCP server in seconds

author: softwareiseasy


value:
Quick update on slidesdown: we've just passed the 1.0 milestone. Highlights since the previous submission to HN are the reimplementation of the CLI in Nushell, integration of Apache ECharts library, support slide multiplexing via cloudflare tunnels, and tailwind / unocss support.
Previous submission to HN in 2023: https://news.ycombinator.com/item?id=34750839

value: Show HN: Presentations at the Speed of Markdown


value: Show HN: From Wan video to Wan image

title: Show HN: From Wan video to Wan image


value:
We built API Radar to track exposed API keys from OpenAI, Claude, Gemini, and other major providers—in real time—from public GitHub repositories.
Why?
Leaked AI keys are everywhere. They power bots, cost companies thousands, and even expose user data. But no one had a clean dashboard to see the leaks as they happen — until now.
What you’ll find:
Full redacted + raw API key leaks
Real-time feed of exposed repos
Leaderboards by author, repo, and provider
Filtering by provider (OpenAI, Claude, Gemini, etc.)
Timeline of key exposure trends
Built for security researchers, devs, and AI companies who want to stay ahead of misuse and protect their infra.
Live now: https://apiradar.live/
Made with Fastify + MongoDB + Next.js +
Would love feedback, ideas, and suggestions! AMA.

value: Show HN: API Radar – OpenAI, Claude and Gemini API Key Leaks from Public GitHub


value: simplekindofman

value: Show HN: Child Affordability Index

author: simplekindofman

title: Show HN: Child Affordability Index


value: henryluo

value:
Author of Mark Notation here.
Mark is a unified notation for both object and markup data, combining the best of JSON, HTML, and XML with a clean syntax and succinct data model.
I'm glad to announce the 1.0 Release of Mark. This release is just the start of a long journey to make web a better platform to store and exchange data.
Your feedback welcome!

value: Show HN: Mark 1.0, a notation that unifies JSON, HTML, JSX, XML, YAML, and more

author: henryluo


value: ziadhussein

value:
Hey all, I built a Discord bot that organizes your Gmail and only sends you what you need to know (also prepares draft for you for important emails)
100% free during the public beta phase
Try it out: [Orby](https://try-orby.vercel.app)

value: Show HN: Discord bot that organizes your Gmail and prepares draft for you

author: ziadhussein


value: wolfred

value: Show HN: Guess the countries just from what borders what

author: wolfred


value:
For folks working on Graph RAG and trying to get LLMs to generate Cypher queries, I ran some experiments on the LDBC dataset and wrote a blog post about it (code is available in the link shown at the end of the post). I've been trying to answer a burning question of mine that I've had for a while now: when doing Text2Cypher, are LLMs better at interpreting graph schemas in JSON, XML or YAML? (Spoiler alert, the format barely matters, it's all to do with context engineering and retaining only the relevant parts of the graph schema in the prompt). Results on the latest LLMs are really good!
The post also contains some other tips on graph schema design: I think we're in an age now where we need to design graph schema for both LLMs and humans. If you're working on Text2Cypher in any way, hope some of these ideas and experiments are useful!

value: Show HN: Tips for getting great Text2Cypher outputs from LLMs for Graph RAG


value: portaouflop

value:
MockFedCM is a free FedCM Relying Party (RP) and Identity Provider (IdP) for testing FedCM integrations.
Simulate real-world authentication flows, debug your implementation, and validate user experiences—all without needing a production IdP or RP.

value: Show HN: Mock FedCM Integrations

author: portaouflop

title: Show HN: Mock FedCM Integrations


value: zahirbmirza

value: I built NoteSub as a simple, offline-first alternative to Notion. No setup, just open, choose the note type... and it just makes things look good. I aimed for it to be like a social media feed, but your own notes.<p>Would appreciate your thoughts on how I could make it more user friendly and useful. It is free to download if you want to try it.

value: Show HN: NoteSub – A no-setup, offline-first Notion alternative

author: zahirbmirza


value: mrroryflint

value:
I built a small app that visualises your entire life as a day-by-day timeline - https://day-by-day.life
Back in 2023, I created a simple version of this concept for my own life events (https://days.rory.codes) and shared it on HackerNews[1] where it received a fair amount of commentary.
A handful[2] of people asked if they could duplicate the project for themselves - so I built this expanded version that lets you sign in, add your life events, and see your own timeline visualised day by day. Data is encrypted at rest and everything is private, though you can make your timeline public and shareable if you wish.
Let me know what you think!
[1] https://news.ycombinator.com/item?id=36637283
[2] Four, to be exact. Product market fit.

value: Show HN: Day by Day – Visualise your entire life as a daily timeline

author: mrroryflint


value:
I've just released an open-source GitHub Action that lets you publish Python, Docker, and NPM packages to RepoForge.io, a secure artifact registry with a simple pricing model and decent speed.
The action supports:
Python packages via twine
Docker images with login/tag/push support
NPM modules with token-based .npmrc setup
All major inputs configurable (token, registry, tags, etc.)
Fail-safe handling of common cases (e.g. 409 on republish)
Source: https://github.com/chris104957/repoforge-publish-action
Marketplace: https://github.com/marketplace/actions/repoforgeio-publish
Future versions will add Conda and Debian package support.
Would love feedback or suggestions!

value: Show HN: GitHub Action for Publishing to Repoforge.io (Python, Docker, NPM)


value: qinggeng

value:
I built a simple tool to convert text into Unicode font styles without the usual bloat of existing generators.
*Why I made this:*
Most font generators are ad-heavy, require signups, or have poor UX. I wanted something clean that just works.
*Technical approach:*
- Pure client-side processing using Unicode character mapping
- No server-side storage or processing of user text
- Built with Next.js/TypeScript, deployed on Vercel
- Responsive design that works across devices
*Features:*
- 19 Unicode font styles (, , , Ⓒⓘⓡⓒⓛⓔⓓ, etc.)
- Real-time conversion as you type
- One-click copy to clipboard
- Hover tooltips explaining each font style
- Zero tracking or analytics
*Privacy by design:*
Your text never leaves your browser. The conversion happens entirely client-side using JavaScript Unicode mappings.
*Link:* https://cursivetextgenerator.org
The code handles edge cases like mixed character sets and maintains consistent spacing. Happy to discuss the Unicode mapping implementation or answer technical questions.
Looking for feedback on the UX and any additional font styles that would be useful.

value: Show HN: Free Unicode font generator with 19 styles, client-side processing

author: qinggeng


value: Show HN: Near – All-in-one OSINT toolkit


value: raunaqvaisoha

value:
Hey HN!
I built Convo SDK after spending way too many hours wrestling with LangGraph checkpointer implementations. Every time I wanted to add memory to a LangGraph agent, I'd end up in database setup hell.
The Problem:
- Setting up PostgresSaver means managing connection pools, schemas, migrations
- MongoSaver requires MongoDB hosting, backup strategies, monitoring
- Custom BaseCheckpointer implementations are 100+ lines of boilerplate
- Production failures from connection pool exhaustion, timeout errors
- Infrastructure costs pile up fast
The Solution:
Replace any LangGraph checkpointer with one line:
// Before: 50+ lines of custom PostgresSaver setup
const checkpointer = new PostgresSaver(connectionPool);
// After: One line
const checkpointer = convo.checkpointer();
What makes it different:
- Drop-in replacement for any LangGraph checkpointer
- Cloud-native persistence (no database setup required)
- Thread management for multi-user apps
- Checkpoint restoration for debugging
Tech Stack:
- TypeScript-first with full type safety
- Works with all LangGraph patterns (ReAct agents, custom workflows)
- Handles async operations and human-in-the-loop
- Compatible with existing LangChain ecosystem
I've been using this in production for 6 months and it's eliminated all our checkpoint-related infrastructure headaches. The API is intentionally minimal - just init, get checkpointer, and you're done. I've now released it in an open beta and am excited to share it with the world.
Would love feedback from other LangGraph users! What's been your experience with checkpointer implementations?
Links (Free Tiers Available):
- Dashboard: https://dashboard.convo.diy
- NPM: https://npmjs.com/package/convo-sdk

value: Show HN: Drop-In Checkpointer for LangGraph (No DB Setup Required)

author: raunaqvaisoha


value: Show HN: Roadmap – Turn real-life social anxiety into a game you can win


value: senhorbardell

value: I build this AI agent after I’ve got rejected for a job. It is focuses on niche genres and thematic coherence. It uses Open AI speech to text, text to speech and completions api to fetch tracks from built in MCP server.

value: Show HN: SoundCloud Agentic Music Mixing

author: senhorbardell


value: dmachard

value:
Most GSLB solutions are proprietary or Kubernetes-centric. This plugin adds global load balancing directly to CoreDNS for any infrastructure.
Key features:
- GeoIP routing (MaxMind + custom YAML mapping) - route users to nearest datacenter
- Lua-scriptable health checks - call HTTP APIs, parse JSON, check Prometheus metrics, even SSH exec
- Adaptive health checking - automatically reduces check frequency for idle records
- EDNS Client Subnet support - get real client IPs through DNS forwarders
- Live config reload - no CoreDNS restart needed
- TXT record debugging - dig TXT yourapp.com shows all backend states instantly
GitHub: https://github.com/dmachard/coredns-gslb
Looking for feedback on the GeoIP implementation and Lua scripting approach!

value: Show HN: CoreDNS-GSLB – DNS-based load balancing with GeoIP and Lua healthchecks

author: dmachard


value: Presenton is an open-source application for generating presentations with AI — all running locally on your device. Stay in control of your data and privacy while using models like OpenAI and Gemini, or use your own hosted models through Ollama.

value: Show HN: Open-Source API for AI Presentation Generation


value: We transform YouTube videos into bite-sized learning experiences.

value: Show HN: Snackit – Create Quizes from YouTube Videos


value: ilmenit

value:
Hi all,
I don’t have a strong math background, but after watching some YouTube videos like "Why do prime numbers make these spirals?
https://www.youtube.com/watch?v=EK32jo7i5LQ) and Prime Numbers on Numberphile
https://www.youtube.com/playlist?list=PL0D0BD149128BB06F
I got curious about the different patterns and functions that might generate primes or interesting visualizations.
Out of curiosity, I put together a web tool:
Prime Fold: https://ilmenit.github.io/prime-fold/
The tool lets you:
Enter or evolve mathematical functions to generate numbers and see which outputs are prime.
Visualize primes in 2D or 1D sequences.
Use built-in optimization algorithms to search for functions that generate more primes or interesting patterns.
I’m not sure if this is useful for anything serious, but it was fun to build and experiment with. If anyone finds it interesting or has suggestions, I’d be happy to hear your thoughts.

value: Show HN: A tool to play with prime-generating functions and patterns

author: ilmenit


value: harryjosh

value:
Hello HN. We’re the team behind MedTechAI (https://medtechai.site), a platform delivering high‑quality, privacy‑compliant synthetic medical datasets. Our mission: enable AI researchers, healthcare data scientists, and developers to train and validate models without using a real patient data.
We generate fully anonymized datasets that simulate real‑world clinical scenarios using proprietary algorithms validated against public health statistics.
Datasets available in JSON.
Unlike static public datasets or expensive data‑licensing services, our data scales on demand and covers edge‑case pathologies.
We monitor compliance continuously and never expose raw patient records. Platform enforces consent frameworks and audit logs for every data generation request.
Pricing is transparent, published on our site. Public launch today.
feedback requested.

value: Show HN: MedTechAI – Medical Datasets for AI and Healthcare Analytics

author: harryjosh


value: Show HN: Rove – Ultimate Chat UI for OpenRouter


value: Show HN: Reactylon – A React-based framework for 3D and XR apps with Babylon.js


value: shreyanshkotak

value: Show HN: Wicked Food Collection – Free AI-crafted 3D food icons

author: shreyanshkotak


value: hasancagli

value:
built this because i was tired of paying $60/mo for Buffer and only using like 10% of it.
most tools felt bloated or built for teams with social media departments, not solo founders or small businesses who just want to post without thinking too much like me.
i run a small business and social media was taking too much of my time.
tried a few cheaper tools but they were either super buggy or just kinda clunky to use. ended up hacking together something for myself, then kept improving it.
now it lets me schedule posts, generate captions with some ai stuff, pull in canva designs (i use canva a lot), and post to all social platforms - IG, TikTok, LinkedIn, X, FB, etc.
kept it simple, kept it affordable — works for me. maybe it works for others too.

value: Show HN: I built a Buffer alternative after paying $60/mo for unused features

author: hasancagli


value: AkiraBit

value: Show HN: A feature-rich, efficient and flexible image compression application

author: AkiraBit


value: itzoen

value:
Hey HN,
I kept finding myself bouncing between news articles and Reddit threads, trying to follow the discussion — but it always felt disconnected. Half the time, people are commenting without even reading the article, and referencing specific parts is a mess.
So I built something to fix that.
It's a Reddit-style site where you can post and discuss news articles, but the twist is a browser extension that shows the comment thread directly on the original article page. Kind of like an overlay — so when you're reading, the conversation is right there with you.
You can still browse and comment on the main site, but the extension makes the experience feel much more integrated.
It’s still early, but working enough to share. If you’re curious, the first 100 users who sign in get a lifetime early access badge.

value: Show HN: Reddit-style news comments directly on articles (100 promo badges)

author: itzoen


value: jerpint

value:
I built this because I got annoyed of constantly re-explaining my project to Cursor and Claude Desktop.
I used ctx to build ctx itself - the context persisted across sessions and I could pick up exactly where I left off each time.
ctx is a git-based context manager that “just works” with all LLM tools.
Just “ctx load” and it’ll pick up exactly where you left off.
How it works:
- “ctx new” creates a git repo for your context (goals, preferences, project state)
- “ctx save ‘progress update’" versions your context like code
- “ctx load” gives any LLM your full context instantly
- Built-in MCP server means it works with Claude Desktop, Cursor, or any MCP-compatible tool
- every context folder contains ctx.txt which explains exactly what ctx is so LLMs know what to do with it
Under the hood it’s just git and text files - no embeddings, no vendor lock-in. Context windows are getting longer anyway, so just give LLMs well-structured context and help them deal with it
context, much like code, evolves and deserves to be tracked.

value: Show HN: Stop re-explaining context to every LLM (Git-based context engineering)

author: jerpint


value: Show HN: Jar.Tools – feature-rich .jar files explorer


value: shahahmed

value:
After reading gwern’s post two days ago about LLM Daydreaming [0], I wanted to just see how it would behave. I grabbed the top vital article titles from wikipedia [1] and made a simple next js app to try the prompt in a loop.
It was pretty interesting to see the connections made between concepts. Happy to host this if people find it useful!
[0] https://gwern.net/ai-daydreaming
[1] https://en.wikipedia.org/wiki/Wikipedia:Vital_articles

value: Show HN: Toy LLM Daydreaming

author: shahahmed

title: Show HN: Toy LLM Daydreaming


value: ylian

value:
I built souko.ai to solve the painful problem of getting clean, structured data from the web for AI applications. Clean, structured data is the foundation of successful AI applications and reliable AI agents, but I found existing solutions lacking - they often output lots of junk that wastes LLM tokens, have expensive pricing, or suffer from poor performance.
Key features:
- Extract clean markdown, structured data, or metadata from any webpage
- AI-powered extraction using natural language queries and JSON schemas
- Search the web AND process results into clean data in one API call
- Handles the complexities of modern web extraction—from rendering JavaScript-heavy SPAs to producing consistently formatted output
- Focus on exceptionally clean output that minimizes token usage
The search + extraction combo is particularly powerful - instead of searching, then scraping, then cleaning data yourself, you get LLM-ready data that your models can trust in a single request. While others offer similar combos, we provide simple and transparent pricing that's actually cheaper for real-world use cases.
We offer 200 free credits to try it out (no credit card required). This is only the beginning and we have a lot more cool stuff planned.
Happy to answer questions about the technical implementation!

value: Show HN: Souko.ai – Web scraping, search and extraction APIs for AI workflows

author: ylian


value: daniellax

value: Show HN: A clean freelance rate calculator based on your work days and expenses

author: daniellax


value: akshayka

value:
We launched marimo [1], an open-source reactive Python notebook, last year on HackerNews. Today, the most popular recent feature request in Google Colab’s issue tracker asks for marimo support in Colab [2].
Rather than try to convince Google to replace their notebook with marimo, we decided to just build our own cloud-hosted notebook service instead. We're calling this molab (mo for marimo), and we're launching it today.
You can try it at https://molab.marimo.io
Some features:
- Persistent storage
- Link sharing (notebooks are public but undiscoverable, like secret GitHub Gists)
- Download notebooks to your machine, reuse them as Python scripts or apps
- Upload local notebooks to the cloud from our CLI (coming soon)
- Real-time collaboration (coming soon)
- Configure computational resources to obtain more CPU or GPU (coming soon)
marimo is a modern notebook for modern data workflows; we also built molab on a modern tech stack:
- Notebook dependencies are managed by uv, enabling lighting-fast package installation (thanks to uv’s cache and more generally its performant implementation). uv makes it easy to run molab notebooks locally, too: uvx marimo edit <notebook-url> brings the notebook down to your machine.
- Persistent storage is powered by R2, Cloudflare’s zero-egress object store.
- We use Pydantic logfire to monitor our deployment.
- While our implementation is agnostic to the compute backend (stay tuned!), we’re currently running on Modal for fast startups (not to mention a slick developer experience). Modal sandboxes make it easy for us define containers at runtime, containing notebook code and their dependencies. (Shout out to Eric Zhang from Modal for helping us get started.)
molab is free to use, as long as usage is reasonable. Our goal is to make is as easy as possible for our community to use marimo notebooks.
Finally, learn more at our announcement blog: https://marimo.io/blog/announcing-molab
If this interests you, please give molab a shot and please share feedback — here or on Discord (https://marimo.io/discord).
P.S. This is not our commercial product, this is really just for our community.
[1] https://github.com/marimo-team/marimo
[2] https://github.com/googlecolab/colabtools/issues?q=is%3Aissu...

value: Show HN: Molab, a cloud-hosted Marimo notebook workspace

author: akshayka


value: hmkoyan

value:
I've been working on librari.io for the past several months and just launched the beta version.
The Problem:
I have 500+ books across multiple rooms in my house and was desperately looking for an app to manage them properly. Most library management apps are either too basic or designed for institutional libraries with rigid workflows that don't fit personal use.
What I Built:
- Multiple libraries: manage collections in different locations
- Location tracking - remember exactly which shelf each book is on
- Loan management - track books you've lent to friends
- Custom fields & tags - store any additional book info the way YOU think about them
- Reading progress tracking - dates, duration, personal ratings
- Modern UI/UX - clean & actually enjoyable to use
Current Status:
- Beta version live
- Working on improving the responsiveness of the app and addressing initial user feedback
Would love feedback! Especially curious about:
- What features would make YOU actually use a library management app?
- UI/UX feedback always welcome
- Any book collectors here who'd be interested in beta testing?
Looking forward to your thoughts! Thank you in advance.

value: Show HN: I built library management app for those who outgrew spreadsheets

author: hmkoyan


value: jshchnz

value:
Couldn't find a reliable, free place to share & rate AI prompts so I thought I'd take a stab at it
Already has 500+ prompts generated by AI using the latest model prompting guidelines
5 different supported prompt types: full prompt, enhancement, template, system, chain
20+ categories: coding, writing, marketing, business, creative,  etc.
Every prompt gets evaluated automatically by multiple AI models (Claude 3 + GPT-4 Mini, more to come)
Then humans can rate and there is an overall score that takes both AI & humans into account
AI eval prompt here: https://www.josh.ing/ratemyprompt/evaluation-prompt
I'm still quite the noob when it comes to AI stuff so I'd love feedback about RateMyPrompt and ways that it could be improved

value: Show HN: RateMyPrompt – share and rate prompts with auto AI evals

author: jshchnz


value: nberkman

value:
You download files in your terminal but need to drag them to web upload fields. Switching to Finder kills flow. Draggy makes clipboard files draggable - copy any file → click menu bar → drag anywhere.
Part of a terminal clipboard suite that replaces pbcopy:
- clippy: Copy files from terminal that paste as actual files (not just contents)
- pasty: Copy file in Finder → `pasty` → file appears in current directory
- draggy: Makes clipboard files draggable for upload fields
Example workflow:

    # download directly to clipboard
    curl -sL https://picsum.photos/300 | clippy
    # Click draggy in menu bar
    # Drag to web form, Slack, email

Recent downloads with interactive picker:

    clippy -i        # choose from recent files
    clippy -r        # copy most recent download
    clippy -r 5m     # all downloads from last 5 minutes

Also includes MCP server - Claude Code can place text directly in your clipboard:

    claude mcp add clippy /opt/homebrew/bin/clippy mcp-server

Install:

    brew install neilberkman/clippy/clippy              # CLI tools
    brew install --cask neilberkman/clippy/draggy       # Menu bar app

Technical: CLI tools are Go with Objective-C bindings. draggy is Swift/SwiftUI with zero background activity - only checks clipboard when clicked.
Note: First launch shows macOS security warning (not code-signed). Run: `xattr -dr com.apple.quarantine /Applications/Draggy.app`

value: Show HN: Draggy – menu bar companion to clippy (better pbcopy)

author: nberkman


value: genshii

value: Show HN: ts-explicit-errors – A TypeScript library for treating errors as values

author: genshii


value: ColonelParrot

value: Show HN: Benchstreet – the stock prediction AI benchmark

author: ColonelParrot


value: hyperfield

value: Local LLMs now supported. Works on Windows, macOS, Linux.

value: Show HN: AI File Sorter: Organize Files and Folders with AI (Local LLMs)

author: hyperfield