value: xmasterdev

value:
I built an app to stop that mini heart attack you get when you realize you’ve lost code. It's called Vibe Backup, and it's made just for us.
It automatically saves versions of your Vibe Coding projects in the background. Think of it as a simple time machine for your code. It works great with Git—saving a snapshot after each commit—and has a hotkey for those "hold my beer" moments before a big refactor. Restoring is just a click.
Key features:
Trigger backups instantly with KEYBOARD SHORTCUTS — without leaving your IDE.
Set it and FORGET IT — Schedule backups on a flexible timer or automatically trigger them after every Git commit
Your project's Time Machine
Restore to any Version in Seconds
Securely encrypted and syncs to iCloud Drive, Dropbox, Google Drive, or OneDrive automatically

value: Show HN: Vibe Backup – A time machine for your Vibe Coding projects

author: xmasterdev


value: altuzar

value:
Hi HN,
I built FounderAI after watching too many great startup ideas die in notebooks (including several of my own). The problem isn't lack of good ideas – it's the overwhelming journey from concept to execution.
FounderAI gives you:
- Weekly personalized roadmaps based on your specific idea and market
- AI-powered market analysis and idea validation before you build
- Progress tracking and a community of founders facing similar challenges with ala-Github calendar
- Step-by-step guidance instead of generic business advice
It's not another "business plan generator." Think of it as an AI co-founder that keeps you moving forward when you'd normally get stuck or give up.
I've been testing this with a small group of founders for the past few weeks. The feedback has been encouraging – people are actually shipping products instead of just planning them.
Would love your thoughts, especially from anyone who's been through the early startup grind.
Live at: https://founderaiapp.com/
Also launching on Product Hunt: https://www.producthunt.com/products/founderai
Happy to answer any questions about the tech stack (it was RN+expo first, then moved to Swift and Claude Code coz dont talk Swift haha), approach, or anything else!

value: Show HN: FounderAI AI-powered startup roadmaps and validation tools

author: altuzar


value: Hey, HN, this was inspired by Borges’ fictional encyclopaedias and the idea (Brian Eno’s I think) that the flaws of a system/tool (hallucinations and LLMs here) are what we come to value over time. Hope you find it interesting and/or fun

value: Show HN: PossibleWorldWikis – LLM-based fictional world wiki generator


value: slimbuck

value:
It's annoying having so many ML and GS training tools rely exclusively on cuda/nvidia .
So for our open-source command-line gaussian splat converter/compressor, we decided to try WebGPU instead.
It's working well so far and a single codebase runs on Linux, MacOS and Windows without too much fuss. This is mostly thanks to Google's dawn project <3.
Eventually some of this could also run directly in the browser.

value: Show HN: WebGPU FTW with Splat-Transform

author: slimbuck


value: rkotzy

value:
I just released an iOS app that lets you start a new Claude Code instance from your phone.
There are a lot of apps to transfer or resume Claude sessions from laptop -> phone but I wanted something that worked 100% from my phone and wasn't dependent on a connection to my laptop.
How it works: spins up a virtual machine for each user (on fly.io), clones a GitHub repo, and spins up a Claude Code instance. The VM spins down after 2hrs of inactivity.
I've been using it to open small PRs for new ideas or ask questions about my codebase when ideas pop into my head on the go. lmk what you think!

value: Show HN: iOS Client for Claude Code SDK

author: rkotzy

title: Show HN: iOS Client for Claude Code SDK


value: Show HN: Dreamtap – Make your AI more creative


value: Paralus

value: Show HN: Melange - pegging AI inference to the cost of the most expensive model

author: Paralus


value: sachou

value: I built a super minimal YouTube to MP3 converter focused on speed and a clean flow and fine UI

value: Show HN: Minimal YouTube to MP3 tool with clean UI and no sign up

author: sachou


value: mwsherman

value:
I’ve learned that my intuitions about where an allocation is coming from aren’t always correct. One tracks it down by creating a -memprofile then go tool pprof, and then some searching. It’s all fine, but tedious.
So, I’ve put that process into a VS Code sidebar, where one simply clicks a benchmark and gets a list of allocations, with a link to the source line.
Hope you’ll try it and give feedback. Marketplace link is above, you can also search for it in your Extensions sidebar, and the source is here: https://github.com/clipperhouse/go-allocations-vsix

value: Show HN: Go Allocations Explorer for VS Code

author: mwsherman


value: ajoshu

value: Something I am working on, trying to get validation on the idea before I fully complete development.

value: Show HN: Trying to get app idea validation

author: ajoshu


value: markolo

value: I made a macOS app called Convo that listens to your conversation and shows a live summary + suggested actions on your screen. Just launched in public beta!

value: Show HN: I built an app that tells you what to say in meetings

author: markolo


value: guomengtao

value:
I built DevToolsHub as a simple, curated directory of free developer tools.
The idea is to save developers time by collecting useful resources in one place, instead of searching across the web.
It’s lightweight, free, and I’m continuously expanding the list.
Feedback and suggestions are welcome!

value: Show HN: DevToolsHub – A curated directory of free developer tools

author: guomengtao


value: autotune

value: Wondering if I can get some opinions on it. Already aware the icons could use some work. Built with AWS S3 and AWS Amplify hosting so it stays super cheap as all assets are static for the time being. Built using Claude AI. Kept having to re-explain at times to avoid bugs. Very interesting what you can do with Claude AI prompt engineering with just an idea.

value: Show HN: I built a website to visualize Terraform code using Claude AI

author: autotune


value: goloroden

value: Show HN: A Modern Event Sourcing Database – Meet EventSourcingDB

author: goloroden


value: joewebber

value:
There we were, like every other Friday night. I was finishing my glass of wine while pushing away my plate, and out pops the dreaded question.
“What should we watch tonight?” She asks.
I saw it coming. In fact, I always see it coming. Do I have an answer? Never. But I know how our night will go.
We'll sit on the couch, open up the first streaming app, and start the dreaded doom scroll.
“This one?” I'd ask.
“No, we already watched it.”
“How about this?”
“I’m not into it.”
And so it goes through the apps one by one until we run out of time and settle for a re-run of Sex and the City or The Office. Typical. But this time, I did something different.
I pulled out my phone, opened an app I was working on   that treats movie selection like a conversation instead of category browsing, and held my breath. What happened next was better than I ever could have imagined.
“Sweetheart, what kind of movie are you in the mood for?”
“Well, what about something that’s a mix of Top Gun, The English, Amsterdam, Ted Lasso, The Family Stone?”
Right. Let’s see how this goes.
I entered the prompt, hit return, and out popped 10 suggestions. The Shawshank Redemption, The Green Mile, The Departed, A Beautiful Mind, The Prestige... Whoa. These are all great movies. But I didn’t stop there.
The 10 were great, but I wanted something newer. So, I refined the search. “Show me more that were released within the last 5 years.” Bingo.
Among the next 10 was a little gem named “The Marriage Story”. Movie night was a hit.
And so will yours. Not convinced?
Try it for free: watchnowai.com

value: Show HN: I solved my movie night headache

author: joewebber


value: danywander

value: Show HN: Die Carz – a home for a Hot Wheels collectors

author: danywander


value: davasny

value:
I worked as DevOps Engineer at multiple companies of different sizes and almost everywhere at some point I had to work with CI/CD optimizations to make developers life better. The key problem I had was tracking down which pipeline was the problematic one and how could I see if my changes worked long-term.
Some time ago I built first version of Pipetrics based on typescript, github action cron job and mongodb used as datasource in Grafana. This approach had a lot of limitations, especially in Grafana integration, thus I decided to rework the project and make it available to everyone as SaaS platform.
Pipetrics in the form that I wanted to share with you today, is a first step in my new story. Today the platform is able to gather new and archival workflows from github and show it in the web app and Grafana dashboard. My plan for the next weeks is to implement advanced cost analysis with AI driven suggestions of optimizations (like using the cache or fixing its key).

value: Show HN: Pipetrics – platform for GitHub Actions performance tracking

author: davasny


value: lococococo

value:
I made FingerprinterJS, a small library with no dependencies that creates browser fingerprints from signals like canvas, WebGL, audio, fonts, userAgent, and screen info.
It’s written in TypeScript, lets you enable/disable collectors, add custom data, and includes a simple suspicious-activity score.
Would love feedback.

value: Show HN: FingerprinterJS – A tiny JavaScript library for browser fingerprints

author: lococococo


value: Fraaaank

value:
We built Pablo, a Photoshop plugin that lets you use Nano Banana (aka Gemini Flash 2.5 image) directly inside Photoshop
There’s been a lot of chatter online that, because of AI, “Photoshop is dead.” We disagree. It's true that AI editing makes photo editing more accessible, however, we believe these tools are most powerful when used by professionals inside professional workflows. Pablo is our way of bridging that gap.
There's a demo video on trypablo.com. We’ll be adding support for new models in the coming days, but we wanted to share early and get feedback from the HN community!

value: Show HN: Pablo, Use Nano Banana in Photoshop

author: Fraaaank


value: anerli

value:
Hey HN - Anders and Tom here. We made a browser MCP using the same vision-first scaffolding as our SOTA (94% WebVoyager) browser agent Magnitude. This approach is more flexible and robust than DOM-based interactions and avoids all the associated edge cases. It works particularly well with Claude Code, since Claude is already trained for computer-use tasks and can interact with browser elements precisely using vision alone. It's 100% open source.
The setup is very simple if you want to try it:
```
npm i -g magnitude-mcp@latest
claude mcp add magnitude -- npx magnitude-mcp
```
Then spin up Claude Code and ask it to do something in the browser.
The MCP allows Claude Code (or any coding agent) to:
- Open a browser with a persistent profile
- Click, type, drag, etc. using pixel-based coordinates
- Automatically stay aware of current state with a screenshot after each interaction
- Coordinate multiple actions at once for efficiency
We made this MCP because we realized it would be really helpful in our own engineering workloads. We are building a massive number of first-party integrations for Sagekit (our workflow automation platform), and to do so we need to give Claude Code as many tools as possible to act with a high degree of autonomy, including a browser it can use reliably.
The only downside is that only certain models can use the MCP effectively, because not all models can pinpoint exact pixel coordinates based on a screenshot. These models roughly include Claude (Sonnet 3.7, Sonnet 4, Opus 4), Qwen 2.5 VL-based models (Qwen 2.5 VL 72B, UI TARS, etc.), and a few others specifically trained for it. Given that we personally use Claude for all our coding anyway, this seemed acceptable.
After using Claude Code to build 15+ integrations in a week, it became obvious that certain tools are necessary to take us out of the dev loop more often and produce high quality code autonomously. A browser was an obvious place to start, and we already had a browser agent we could repurpose.
So far, this is what we've personally found it useful for:
- Seeing and interacting with web apps as it builds features or fixes issues
- Configuring dummy data that can't be accessed programmatically
- Browsing documentation on sites where fetch doesn't work
- Improvised frontend testing
Anyway, we thought we would share in case other engineers find it useful in their workloads. It can also be used in non-engineering work (like booking a flight!!) if you so desire.

value: Show HN: Magnitude MCP – vision-first browser interaction for Claude Code

author: anerli


value: kriztle

value: Show HN: Build no-code internal tools using AI

author: kriztle


value: irishmanlondon

value: Show HN: Petition against national id in U.K

author: irishmanlondon


value: solumos

value: I've been looking for new fonts to use for a new project, but there weren't any great tools for seeing how a particular serif font for headers would look with another sans font for paragraph text, so I built a tool that lets you compare, adjust, and tinker with the way you'd use a font in your specific project before downloading it/setting it up.<p>This is only using the free Google fonts for now. If there are other open-source fonts I should add, let me know and I'll add them!

value: Show HN: Font Tester – Preview fonts on custom content

author: solumos


value: Show HN: Giraffocus – iOS app blocker with a mindful pause


value: akumpf

value: Show HN: Palm Bread – Open method to scale up home baking (100 loaves/day)

author: akumpf


value: matebajusz

value:
Hi HN,
I've been hosting my side project on AWS, like any developer who is also a hustler would. I was paying an okay price for not managing infrastructure at all. I moved everything to AWS Ligthsail after my startup credits run out. My project was not making me much money, so I financed it all by myself. Then one day, after some ignored  spam AWS emails, I got a huge bill. 700% increase from previous period. WTF?? I said to myself while I logged into the dashboard to look at what the issue is. No DDOS, misconfiguration, nothing unusual. I log into the root account to look at the billing page, and I see it: RDS PostgreSQLl legacy fee ~200 EUR because I was running Postgres 13 in 2025. I was baffled. I paid monthly 25 eur (with 27% tax) for the smallest RDS instance, then I see this monster fee for something I think should cost maybe 2 EUR. I mean AWS just has to run it in a different environment. For 200 I could buy them a new server to run it for me. I thought to myself, I have a spare Raspberry Pi 3, I will just host it on that. Then my journey on self hosting started, I decided to cut ties with AWS or any cloud provider. I faced many challenges, particularly due to resource constraints with the tiny 1GB ram and slow storage. Then to solve my own problems I made Beacon, and I'm sharing it now to help others who face similar challenges.
Beacon solves a problem for self-hosters (or if you host on bare metal), IoT homelab users. It's an open-source agent that makes it easy to deploy apps and monitor devices (like Raspberry Pi) without the overhead of traditional tooling. Forget bloated stacks like Jenkins, Opensearch, Grafana, or Datadog. Beacon is a single ~15 MB Go binary that:
* Automatically deploys new releases from Git tags
* Monitors endpoints, ports, and system metrics with custom commands
* Forwards logs from files, Docker, and commands
Note: Beacon is currently in Beta development — APIs, configs, and features may change as it evolves. Feedback and contributions are welcome!

value: Show HN: Beacon – Lightweight deployment and monitoring for self hosters

author: matebajusz


value: abdulmuminyqn

value:
Hey folks,
I was frustrated by how static and passive most AI-generated educational content is. A perfect explanation is great, but it doesn't guarantee "learning".
To fix this, I built a system to dynamically inject and render interactive elements into the LLM's response, turning what would rather be walls of just text into a live learning environment.
An example of it in action is this super cool explanation on the rules of basketball - https://thirdpen.app/article/FN3IbjLa/lens
Or a simple DSA question of how bubble sort algorithm works: https://thirdpen.app/article/QRV7MYmu/lens
We are able to see in this examples that "learning" with AI does not have to be just about text.
I would love to confirm whether or not we're innovating in the right direction with this.
you can try it here: https://thirdpen.app

value: Show HN: Embeddable Interactive Components in AI Responses for Enhanced Learning

author: abdulmuminyqn


value: wayy

value:
Justin and Avichal here. We’re building Linden (http://trylinden.com), a tool for maintaining browser automations at scale.
Avichal lived this problem at a dental insurance startup, where he spent time fixing brittle Selenium scripts that broke on minor website updates. He was pulling data from dozens of legacy portals and the constant maintenance was a drain on engineering time.
The new AI browser tools had their own issues. We found them to be mostly black boxes, lacking the observability and control needed for business-critical pipelines.
We're building Linden with a different approach: AI isn't responsible for the core execution; instead it simply creates and maintains Playwright scripts for you. This makes the entire workflow transparent and robust.
Here's how it works:
1. Record the First Run: To start, the task is performed just once by our AI agent (or manually). As the task runs, we record the sequence of raw, deterministic actions, like click(selector) and fill(selector, value).
2. Export a Workflow: This action trace is saved as a clean Playwright script. You also get the raw steps in JSON, giving you a fully transparent workflow you can read, edit, and run yourself.
3. Execute the Script: All future runs execute this script directly. It’s cheaper, faster, and more stable than having an AI agent re-evaluate the page from scratch every time.
4. Self-Heal on Failure: When a step in the workflow fails (e.g., a selector becomes stale), an AI agent is invoked with a narrow scope: to fix only that one broken step. It then patches the workflow, and the updated script is saved for all future runs.
We’re still super early and we’d love your feedback. Also interested to hear about how people are currently dealing with browser automations at any scale.

value: Show HN: Linden – Self-healing Playwright scripts at scale

author: wayy


value: Show HN: Curated N8n Workflows to Automate Marketing, CRM and Business Tasks


value: jsattler

value: I built a simple Firefox extension that blocks distracting websites when you need to get things done. It's privacy focused and ships with useful presets to block social media, entertainment and news sites, so you don't need spend time on configuration. I hope you find it useful and get back to focus on the important stuff!

value: Show HN: A Firefox extension to stay focused

author: jsattler


value: kelvinquee

value:
Hi HN! I built a simple chess game so that my son in Singapore can play chess with his grandfather in China.
Why? There is currently no service or open source software that has all of the following:
* All processing and assets on a single server (Critical to workaround a firewall)
* No email account required (Chinese Internet services typically login via WeChat)
* Works on Android browser
* Simple to install and config
I built it, together with Claude Code, using simple and boring technologies (Django + Client-side JS). I hope that when you use it, you will find it simple to understand (everything is done server-side), deploy, play, and maybe even hack.  :)
Live demo: https://family-chess.quee.org (Please be gentle, it's a tiny 2GB VPS!)

value: Show HN: Family Chess: Play across firewalls and Internet cultures

author: kelvinquee


value: kieojk

value:
Hi everyone,
I’m an indie developer learning Next.js and a big fan of the NYT game Pips. Inspired by it, I built https://pipsgamer.com — a responsive web version of Pips with smooth gameplay on both desktop and mobile.
What makes this project different from NYT’s version is that you can play it infinitely under three difficulty levels: Easy / Medium / Hard.
This is the first time I’ve built a game. Along the way I ran into many difficulties: implementing the game logic, configuring the UI, matching layouts for small and large screens, etc. I spent many lonely nights and sometimes even doubted whether I could complete the whole project. After 24 days of persistent effort, the project is finally finished.
No signup required — just go and play. If you try it out I’d really appreciate your feedback: what you like, what bugs you see, what could be improved.
Thanks!

value: Show HN: A web version of Pips game (NYT domino game)

author: kieojk


value: jsbroks

value: Show HN: Portway – Built a "Heroku Killer" for Docker Compose

author: jsbroks


value: modinfo

value: Show HN: Yay Custom PKGBUILD Repositories Support local/Git/HTTP

author: modinfo


value:
I’ve often wished for a better brain that shares my vision—because I know I won’t always be wise or brilliant. So I built a tool to help me think, the way we use cars to go faster.
 1. It’s currently an open demo. Anyone can use it as easily as chatting with GPT. When you hover over chat results or select text, a brain-shaped button appears. Click it to train your own small model. That model then becomes a concept you can leverage in the LLM’s inputs and outputs.
 2. Double-click the ink character at the top of the screen to view and manage the data you’ve trained. To reflect its semantic state, the system visualizes a graph-style database.<p>Feedback is always appreciated.

value: Show HN: Think Engine for Thinkers

title: Show HN: Think Engine for Thinkers


value: aldimiri

value:
Hi HN,
All my life, I’ve been split between two passions: medicine and building things. Before becoming a clinician, I was fascinated by coding. I’ve always felt that coding is like being a chef, an engineer, and an artist all at once, using raw tools to create something that has never existed before.
When I entered clinical practice, I discovered the other side of the story: the daily struggles of physicians, nurses, and consultants dealing with healthcare IT. For more than 20 years I’ve seen colleagues spending endless hours fighting with documentation systems. Electronic health records were introduced with good intentions, and they did bring benefits in safety and compliance. But the reality is that their biggest payoff has been for billing and cost capture. For the clinicians actually using them, the burden is enormous. We’ve tried for decades to make EHRs tolerable, and adoption is there, but satisfaction is not. Everyone knows the pain.
I believe this moment is different. AI offers the chance to finally flip the balance to create tools that serve clinicians instead of weighing them down. That belief led me to start EternaAI Health.
EternaAI is an ambient AI assistant built to reduce the burden of documentation. It listens during the clinical workflow, creates real-time transcripts, and turns voice or text into structured outputs like notes, summaries, and forms. Today, the early version includes:
Scribe: generate, regenerate, and edit structured clinical notes.
Ambient Workflow: listen in real time and produce summaries from transcripts.
Form Filling: use AI to complete forms with templates and preferences.
Quick Notes: capture short observations or reminders instantly.
This is very early access. It’s meant for testing and feedback only; no real patient data should be entered at this stage. But even as a proof, it demonstrates how AI can reshape workflows.
If you’d like to try it, you can sign up at eternaaihealth.com
 and use the promo code EARLYACCESS to unlock one free month of our Professional Tier.
The app has a built-in feedback function (simple thumbs up/down and comment capture). I’d love to know what works, what breaks, what’s confusing, and what you’d expect from a tool like this.
This is just the first step. Long-term, I see opportunities far beyond documentation: strengthening the patient-clinician connection, reducing risks where gaps exist, supporting education and pre-visit preparation, and exploring new use cases we haven’t yet imagined.
I’d really appreciate your thoughts, critiques, and suggestions. Thanks for reading, and for helping me explore how ambient AI might finally bring healthcare IT to a better place.
The EternaAI Team

value: Show HN: EternaAI Ambient AI assistant for clinical documentation (early access)

author: aldimiri


value: It says You’re Absolutely Right

value: Show HN: Vibecoder tee calmed my nerves

story_text: It says You’re Absolutely Right

title: Show HN: Vibecoder tee calmed my nerves


value: LCHK

value:
"Ah, how I enjoy refreshing my old blog posts" has no one said - EVER.
With Wilde AI the days of tedious content refreshes are over.
Here's how Wilde works:
Step 1: Provide it with the URL of your old blog post.
Step 2: Wait.
Step 3: Done.
Wilde turns your old blog posts into fresh conversion opportunities by automatically adding:
1. A TL;DR summary,
2. Smart CTAs,
3. Internal links,
4. Relevant content,
5. A visual summary of your blog post, and
6. FAQs.
Compatible with WordPress, Wix, Squarespace or any other content management system, Wilde AI produces clean, maintainable blog posts in HTML and CSS, 100% publication ready.
We're in public beta now, and would love to hear everyone's feedback!  Thanks in advance for checking us out!

value: Show HN: Wilde AI – Turn Stale Blog Posts into SEO and Geo-Friendly Content

author: LCHK


value:
Proxmox‑GitOps implements a self‑contained CI/CD control plane for Proxmox VE that bootstraps from a single repository and manages itself recursively within the LXC containers under management
Repository: https://github.com/stevius10/Proxmox-GitOps
Demo (1min+): https://youtu.be/2oXDgbvFCWY?si=gSSACmVi0mO6v8xx
Architecture
- A local bootstrap (`./local/run.sh`) seeds a Gitea instance and runner, initializes the pipeline, and creates an initial PR. Merging this PR transitions the system into self-management; subsequent commits converge the desired state across Proxmox LXC containers.
- The system uses a self-contained monorepo with reusable container libraries. Ansible handles provisioning against Proxmox, while Cinc (Chef) performs desired-state convergence and cross-layer orchestration where declarative modeling is insufficient.
Concept
- Recursive self-management: the control plane executes within the managed containers to maximize reproducibility and minimize drift.
- Git as current desired state: operations map to standard Git workflows (commit, merge, rollback) in a stateless management model.
- Convention-based extensibility: add a service by copying a container definition from libs, adding a minimal cookbook and `config.env`; the pipeline handles provisioning, configuration, and validation.
- Loose coupling: containers remain independently replaceable and continue to function without manual follow-up.
Environment
- Proxmox VE 8.4–9.0, Debian 13 LXC per default.
- Local bootstrap via Docker; further actions are repository-driven.
Install
- Configure Proxmox credentials in `./local/config.json`.
- Run `./local/run.sh` to seed the environment.
- Accept the initial PR in the seeded Gitea instance at `localhost:8080/main/config`.
- Push changes to trigger provisioning, convergence, and validation on Proxmox VE.
Trade-Offs
- The recursive bootstrap increases complexity to preserve rebuild‑from‑repo semantics and deterministic behavior.
- On Proxmox 9, stricter token privileges limit certain operations; automation uses root‑context API access where tokens are insufficient.

value: Show HN: Proxmox‑GitOps: Self-Hosted GitOps (demo incl., recursive Monorepo IaC)


value: goldenerfish

value:
Hi HN,
I host my own mail infrastructure and don't rely on third-party tools to send my mails. But in a microservice architecture, managing all the SMTP configs quickly becomes tiresome. After a while I'd always have my credentials and settings scattered in application-properties, bash scripts and environment files.
So I've build Brieferl, an app where you can add your SMTP servers and send emails through a single API with a simple JSON payload. You also get logs of when/where emails were sent and HTML previews of messages.
I am interested in what you guys think about this. You can create a free account with just your email, add a SMTP server + API key and start sending. (There is no upsell, or paid plan yet)
This is super early, it works and I made it actually just for myself but a friend told me he‘d also love to use this, so I thought why not ask other developers what they think.
Is this something you’d use? Are there some features that would it more valuable for you? Or is this something only I’ve felt?

value: Show HN: One API for all your SMTPs

author: goldenerfish

title: Show HN: One API for all your SMTPs


value: mermaidonline.live is an online platform designed to make working with Mermaid diagrams more accessible, efficient, and user-friendly. Mermaid itself is an open-source JavaScript-based tool that allows users to create diagrams and visualizations using plain text syntax. Instead of manually drawing flowcharts, sequence diagrams, or Gantt charts, users can simply write text in Mermaid’s simple Markdown-like syntax, and the tool automatically generates the visual output. While Mermaid is widely used by developers, technical writers, and project managers, it often requires either local setup or integration with third-party tools. This is where mermaidonline.live comes in: it offers a browser-based environment that eliminates the need for installation and provides an instant, interactive editing and visualization experience.

value: Show HN: Mermaid Editor

title: Show HN: Mermaid Editor


value: I wanted to use YouTube ,reddit etc.while using productivity apps but they block entire domains. So I built something that blocks distracting content based on my goals.Feedback would be really appreciated

value: Show HN: Dpwrk – Smarter than a blocker: filters distractions, not sites


value:
I made a website to make able to open suspicious links safely,
You can open the "suspicious link" by putting it on the website, and behind the scenes on the server, there is a VM (Virtual Machine) that contains Chromium, and an API that will receive your "suspicious link" and open it in a thread using Chromium.
What result will I receive ?:
You get the downloaded files that are downloaded when you open the link. Also, it takes a screenshot of the page behind that link to be able to see what it looks like, and it will give you the requests made by that link when it was opened.
https://linksray.com/
Try it and tell me your feedback .

value: Show HN: You Can Open Suspicious Links Safely


value: maghfoor

value: Show HN: I spent 4 months building Duolingo but for your life

author: maghfoor


value: qwikhost

value: It's ready to use. Hopefully it's useful to you. Any contribution is welcome.

value: Show HN: I curated a collection of Nana Banana prompt examples

author: qwikhost


value: irqlevel

value: Show HN: Privacy-First Voice-to-Text for macOS

author: irqlevel


value: yarlinghe

value: Show HN: Free Online Font Generator – Bold, Stylish Text Converter

author: yarlinghe


value: slonik

value:
Hi HN – Kristyna here.
I built this free, online email validator and would love to share it with you.
What it checks:
- Syntax – Confirms correct proper email format.
- Domain & DNS – Verifies the domain exists and resolves.
- MX records – Verifies the domain can receive mail.
- SMTP handshake (optional) – Checks the mail server accepts the recipient (no message is sent).
- Disposable domains – Flags temporary inbox providers that can hurt deliverability lists.
- Common typos – Catches mistakes and suggests fixes.
How it works:
Paste an email > click Validate > get a clear result with reasons. You can copy the result and validate more if you'd like.
I built it because most validators hide behind signups or credits. I wanted a no-signup, in-browser checker you can use fast. It’s free and online.
Thank you for taking a look. Let me know what do you think!

value: Show HN: Free Email Validator – Verify emails in the browser (no signup)

author: slonik


value: LabhTark

value: We have created a Web Based Tool which gathers high impact news which are related to stock market and it swiftly guides you to the companies which these news are affecting. If you are interested try my tool and let me know your review

value: Show HN: Stock Market News and Its Impact

author: LabhTark


value: roversx

value:
An open sourced version of Launchpad that I enhanced, you can import from old system Launchpad (just one click), and most of things look same. There are also a lot of functions, like adjust / display / hide icon size and title, localize icons, game controller support, i18n, voice over, etc.
Still updating, open an issue if there are any problems. Hope this could help if someone updated to MacOS26 and not happy with new Launchpad :)
Thank you.

value: Show HN: An open source Launchpad for macOS 26

author: roversx


value: lexokoh

value: Show HN: Free builds stuck by bad caches

author: lexokoh


value: gkoos

value:
A TypeScript/ESM library for injecting latency, failures, and other network chaos into fetch requests. It supports flexible middleware and can be combined with chaos-proxy for advanced testing scenarios.
npm: https://www.npmjs.com/package/@fetchkit/chaos-fetch
GitHub: https://github.com/fetch-kit/chaos-fetch

value: Show HN: Chaos-fetch – TS library for simulating network chaos in fetch requests

author: gkoos


value: Show HN: Open-Source Semantic AI Chat Search – 100% Locally


value: aytuakarlar

value:
Hey HN,
I've been obsessed with a problem: raw LLMs are powerful but unsafe for high-stakes decisions. I've spent the last few months building a hybrid architecture to make them more rational and disciplined.
To test it, I built an AI Colosseum.
The architecture is Neuro-Symbolic-Causal:
* Neuro (GPT-4o): The creative strategist that proposes actions.
* Symbolic (Guardian): A hard-coded, formally verified (TLA+) rule engine. It's the safety layer that says "no" to bad ideas.
* Causal (Oracle): An `econml` model trained on historical data to predict the long-term value of any given action.
The Colosseum is a Streamlit app where these agents compete. One of the first things I saw was the full Chimera agent choosing to hold cash to successfully survive a simulated market crash, while a simpler "LLM-only" agent lost heavily. It proved that sometimes the smartest move is not to play.
It's an early closed beta launching on Oct 7th. I'm looking for feedback from technical folks. If you're interested, starring the repo is the best way to get on the list for an invite.
Code for early access: Spartacus
Repo: https://github.com/akarlaraytu/Project-Chimera
Tech stack: Python, Streamlit, LangChain, econml, pandas_ta, TLA+.
I'll be in the comments all day to answer questions. Appreciate any thoughts or critiques.

value: Show HN: I built an AI Colosseum to battle-test different agent architectures

author: aytuakarlar


value:
Hey HN, I've been tinkering with self-hosting LLMs and got frustrated with bloated setups needing a dozen API keys for chat, search, OCR, and more. So I built llumen: a dead-simple, full-stack chat web app that gets you chatting with models out-of-the-box.
Why it might interest you:
- <b>Effortless Start</b>: Drop in a single OpenRouter API key—no juggling endpoints. Docker image or binaries ready for Linux/Windows (prebuilts on release).
- <b>Blazing Fast & Tiny</b>: Boots in under 1s, <100MB disk.
- <b>Smart Features</b>: Markdown with code/math rendering, normal chat mode, web-search integration and WIP agentic/deep-research modes.
- <b>Opensource</b>: MPL 2.0 licensed. Screenshots and a quick demo GIF in the README to see it in action.
Quick Docker spin-up:
<pre><code>docker run -it --rm -e API_KEY="your-key" -p 80:80 -v $(pwd)/data:/data ghcr.io/pinkfuwa/llumen:latest</code></pre>
Default login: admin / P@88w0rd.

value: Show HN: Llumen – Lightweight LLM chat app that runs in <1s with OpenRouter


value: DavidCanHelp

value: Show HN: Ferrix, a Terminal Multiplexer in Rust

author: DavidCanHelp


value:
I’ve just deployed the official documentation site for NextMin → https://nextmin.gscodes.dev/
NextMin is a developer toolkit designed to make schema-driven development fast and transparent. Some key features:
Dynamic Schema System – instantly generate CRUD APIs from JSON schemas
Admin Panel – React + Tailwind, live schema updates
API Router – flexible, with JWT + API key authentication
File Storage – S3-compatible upload support
Hot Reloading – backend and frontend reload without restarts
Monorepo Ready – plug-and-play with private npm packages
New: you can try it directly in the NextMin Playground here: https://nextmin-playground.gscodes.dev/
I built this because I believe dev tools should be fast, adaptable, and not locked behind walls. Would love feedback from the community.

value: Show HN: NextMin – Schema-Driven APIs with Hot Reloading


value: BrunoScaglione

value:
It’s a free, open-source, non-profit knowledge base for STEM (Science, Technology, Engineering and Mathematics).
Think of it as an "awesome repo" on steroids.
Ideal for going deep into STEM topics, after ChatGPT/Google gives you an overview.
- 60+ GB of resources
- 10k+ PDFs
- 6k+ subtopics
Note: this is our first MVP release. Many improvements are planned — check out our roadmap (inside README.md)

value: Show HN: LunchSTEM (probably) the best STEM knowledge base in the world

author: BrunoScaglione


value: alastairr

value:
I indexed a lot of blogs and posts for another project so thought I'd put together a way to make them searchable and surf-able.
Some things you can do with blognerd
- search blogs and posts
- surf blogs that are similar to other blogs
- find posts similar to other posts
- export RSS feeds as OPML, CSV
It's rough around the edges and sometimes a bit janky, but would love feedback / ideas to make it (more) useful!  Thanks!

value: Show HN: Blognerd – search posts, blogs and export OPML

author: alastairr


value: amsaleque

value:
Hi HN,
I built ConvertFast, a desktop tool for file conversion and utilities that works entirely offline.
The motivation came from being frustrated with online converters — they upload files to unknown servers, have unclear privacy policies, impose file size limits, and are slow when handling multiple files. I wanted something private, fast, and unlimited.
What it does:
Converts files locally, no uploads or internet required
Supports 2,500+ formats (PDFs, images, audio, video, etc.)
Batch processing: convert dozens or hundreds of files at once
PDF toolkit: merge, split, compress, extract pages
Image tools: batch editing, watermarks, EXIF management
Audio/video utilities: trimming, speed control, audio extraction
It’s cross-platform and works on Windows, macOS, and Linux.
I’d love feedback on the idea, the implementation, and features that might be missing. Thanks for taking a look!

value: Show HN: I build a desktop tool to convert files & edit PDFs/audio/video offline

author: amsaleque


value: samesense

value: I compared iTerm2 and Neovim color themes by extracting their palettes from theme files and computing a similarity score. Theme pairings are recommended for users who want a consistent look across their terminal and editor, since their palettes are perceptually similar according to CIELAB-based distance metrics.

value: Show HN: Comparing iTerm2 and Neovim Theme Similarity

author: samesense


value: joshdavham

value: Show HN: Interactive Forgetting Curve

author: joshdavham

title: Show HN: Interactive Forgetting Curve


value: abdulmuminyqn

value:
Hey folks,
I was frustrated by how static and passive most AI-generated educational content is. A perfect explanation is great, but it doesn't guarantee "learning".
To fix this, I built a system to dynamically inject and render interactive elements into the LLM's response, turning what would rather be walls of just text into a live learning environment.
An example of it in action is this super cool explanation on the rules of basketball - https://thirdpen.app/article/FN3IbjLa/lens
Or a simple DSA question of how bubble sort algorithm works: https://thirdpen.app/article/QRV7MYmu/lens
We are able to see in this examples that "learning" with AI does not have to be just about text.
I would love to confirm whether or not we're innovating in the right direction with this.
you can try it here: https://thirdpen.app

value: Show HN: We're Fixing "Learning" with AI

author: abdulmuminyqn


value: Show HN: A Minimalist Portfolio Template


value: alvinunreal

value: Show HN: Free Subreddit Analytics Tool

author: alvinunreal

title: Show HN: Free Subreddit Analytics Tool


value: I’m testing a new way to explain QuickIntro (turns referrals into meetings without the awkward ask). Instead of slides or a video, I built a 60-second “AhaTree” you can click through, no signup required.<p>Would love feedback: is this format clearer than the usual demos?

value: Show HN: AhaTree, a 60-second interactive demo


value: adityamallah

value: SUPER CHAT – Privacy-first AI chat with local storage & multi-provider

value: Show HN: Super CHAT – Privacy-first AI chat with local storage and more

author: adityamallah


value: explosion-s

value: Hi everyone! I have been working for a long time on a Mac OS dictation app that supports multiple backends like whisper, vosk, Mac native Apple speech API, as well as cloud providers like Mistral or Gemini. The goal of Whisper Mac is to be a drop-in replacement for your keyboard whenever possible. It supports customizable actions replacements, AI post-processing, and can be as local or as cloud-based as you want or need it to be. Check it out and give it a star!!

value: Show HN: macOS Local AI Dictation Software

author: explosion-s


value: ewantindale

value:
This is a tool for anyone building accounts or doing marketing on TikTok.
It helps you create slideshows (image carousels) using AI to generate the captions and images.
I built this because I had been posting TikTok slideshows to market my apps, and I was just using ChatGPT for both the scripts and the image generation, which took multiple prompts, and was quite tedious.
This app combines all that so that you can just enter one prompt and create the whole slideshow.
Then there's an editor to tweak/fix anything that isn't quite right before downloading/exporting to TikTok.
You can also use your own images or any of the image collections in the app to fit your niche (motivation, gym, sunsets, mindfulness, running, etc)
There are a ton of features I haven't built yet because I've been trying to nail the core functionality of the app first and make it as simple as possible to use.
I'd welcome any feedback, thanks :)

value: Show HN: A Slideshow Generator for TikTok

author: ewantindale


value: jacquesm

value: Show HN: The Unite real time operating system

author: jacquesm


value: incendies

value:
Hi HN,
I’ve been exploring AI video generation and recently built an iOS app that lets you create short videos from text prompts or photos. My goal was to make video creation as simple as possible — no editing skills needed, just type an idea or upload a photo.
The app currently supports multiple AI video models (e.g. Veo3, Kling, Pixverse, Wan, etc.), outputs in 1080p, and allows choosing different aspect ratios and durations. It’s still early, so I’m very curious about your feedback.
What do you think about AI video creation on mobile? Do you see it as a useful tool for creators/educators/marketers, or more of a novelty at this stage? Any suggestions are highly appreciated!

value: Show HN: AI Video Generator app for iOS (looking for feedback)

author: incendies


value: Moowool

value:
C doesn't come with dynamic data structures like vectors or hashmaps, so developers have to either develop their own on top of arrays and structs, or use an external library.
One of the most popular data structure libraries is stb_ds.h. It's a very easy to use single-header library that feels almost like Javascript arrays, but I was getting frustrated with its design.
First, iteration relies on index calculations, which is a slower technique than pointer comparison (that's what std::vector uses).
Second, the structure hides its array header behind the data pointer. This is done to allow for the square brackets syntax [ ], but it turns debugging into a horrible experience since we can't easily access the header, and this technique relies on undefined behavior which is unreliable, especially when using less popular compilers on different systems.
Third, stb_ds.h doesn't do bounds checking, so it silently corrupts memory out-of-bounds access. This is the worst possible way to manage errors, but C is limited on that department.
Fourth, stb_ds.h isn't fully type-safe. It relies on sizeof (a) for type-checking, but it's possible to pass different pointer types (char, double), different primitives of the same size (int, float), or different structs of the same size (struct { node next; }, struct { float x; float y; }) to violate the type contract. The user must enforce type-safety themselves.
Fifth, I personally do not like its licensing because MIT forbids re-licensing, and public domain is ambiguous internationally.
So I decided to make my own single-header vector library to fix all of those issues.
My vector library (vector.h) uses the same iteration technique as std::vector (3 pointers, one for the beginning of the array/elements, one for past the last element, and one past the last valid memory index). This results in faster iteration (which is the most common array usage), clearer debugging with all values being in the struct, and no undefined behavior surprises.
vector.h also panics on errors instead of silently corrupting memory. This may seem like a bad design decision, but lots of popular languages crash on out-of-bounds access (Rust, Go, GDScript, etc.). It's almost always a severe bug, and it's best to let the developer know by failing fast. But for those who cannot afford a crash, I implemented the flag VECTOR_NO_PANIC_ON_OOB that turns out-of-bounds access into no-ops.
The type-safety requirement was the trickiest to solve, but I landed on macro-generated functions. This is similar to what the Linux kernel sometimes uses like `list.h`, but Linux compiles with gnu89 which includes typeof(), while my vector is strict c89 ISO compliant, which doesn't have typeof().
Finally, for licensing, I chose the BSD Zero-Clause license which allows for re-licensing, is internationally unambiguous, and doesn't require attribution.
To make my library production ready, I included a robust test routine.
I'd love feedback from C developers who've struggled with similar issues. Code and benchmarks at https://github.com/RolandMarchand/vector.h

value: Show HN: I built type-safe dynamic arrays for C after struggling with stb_ds.h

author: Moowool


value: vaneyckseme

value: Show HN: Create process, data and component diagrams from natural language

author: vaneyckseme


value: nottherealsanta

value:
a web app where fashion designers can sketch, remix, and iterate with AI on an infinite canvas.
Upload your own images or pick from starters, Drag them around like polaroids, connect them with edges, and branch off new designs.
Edit with prompts or quick sketches → AI generates variations right on the canvas.
It’s like a moodboard + AI lab for fashion.

value: Show HN: FashionCanvas – an infinite AI canvas for fashion design

author: nottherealsanta


value: spacebound

value: The Lizard Button Clicker is the most authentic recreation of the viral Lizard Button meme. This addictive clicking game features the original Lizard Button sounds and mechanics, allowing you to experience the hypnotic Lizard Button phenomenon while tracking your clicks per second and earning points.

value: Show HN: Lizard Button Clicker Game

author: spacebound

title: Show HN: Lizard Button Clicker Game


value: pekingzcc

value: I make a tool to transform protrait to Y2K Style Portrait, also there are many image tools to use.

value: Show HN: AI Y2K Style Portrait Generator

author: pekingzcc


value:
Hi HN,
I'm Divy, former CTO at Branch and previously led engineering teams at Credit Karma and NexHealth. Over the past decade in fintech and healthtech, I've watched too many founders get blindsided by privacy compliance.
The Problem: 80% of startups are unaware of privacy laws affecting their business. The choice between expensive attorneys ($5,000+) and risky generic templates is getting worse as regulations expand. Generic privacy policies fail because they make promises your business can't keep – I've seen this tank funding rounds and trigger regulatory investigations.
My Personal Pain: At Branch, we spent weeks and over $5K just to get basic privacy compliance docs. Our attorneys charged hundreds per hour to essentially fill out forms about our data practices. The kicker? The policy didn't even cover our specific use cases properly, and we had to redo everything when new regulations kicked in.
The Solution: PrivacyForge.ai generates legally compliant privacy documentation using AI trained on current regulations. Instead of generic templates, it creates documents based on your actual business practices – what data you collect, how you process it, where you store it, and which jurisdictions apply to you.
Technical Approach: We built this on Google Cloud with Vertex AI, using Claude Sonnet and Gemini 2.5 for document generation. The system maintains separate knowledge bases for GDPR, CCPA, CPRA, PIPEDA, COPPA, and CalOPPA. Each document gets validated against jurisdiction-specific requirements before delivery. We're continuously expanding the regulations we support.
Different from existing tools: Most privacy generators use static templates with basic fill-in-the-blanks. We analyze your specific data flows and generate custom language. No per-site pricing that kills agencies – just one-time payments with included updates when regulations change.
Current status: We're live with paying customers who've saved thousands in legal fees. Generated documents have passed compliance reviews at companies going through Series A due diligence.
Try it at privacyforge.ai – would love feedback from the HN community, especially if you're dealing with privacy compliance headaches at your company.
What privacy compliance nightmares have you faced? Always curious to hear war stories from fellow builders.

value: Show HN: Privacyforge.ai – AI privacy compliance documents that work


value: antoineross

value:
Supacrawler is open source web scraping api built in Go for performance and concurrency. Playwright-Go for JS rendering, Redis for caching and queuing. Also easy to self-host (clone + docker-compose) or use hosted version.
What Supacrawler supports:
- v1/scrape — fetch content (HTML, js rendered) from a URL
- v1/crawl — follow links to crawl entire sites or sections
- v1/screenshots — capture visual renderings of pages (full page, element, etc.)
- v1/watch — monitor pages for changes over time
- v1/parse — the new endpoint: you submit a URL + a schema or desired format (JSON, CSV, YAML, Markdown), and it returns structured data without needing custom scraper logic
Repo: https://github.com/supacrawler/supacrawler
Cloud: https://supacrawler.com
Let me know what would make this a tool you’d rely on in production! Thanks for checking this out :)

value: Show HN: Supacrawler – lightweight web scraping API in Go

author: antoineross


value: aquarin

value:
This project originated from my need for a constraint solver in a cutting optimization project.
After evaluating existing solvers, which were primarily bindings to large C/C++ libraries with numerous dependencies,
I decided to develop my own solution. Over several years, I experimented with various approaches,
resulting in a self-contained implementation.
The solver handles constraints with integer, float, and boolean domains,
supporting arithmetic, logical, and several global constraints (alldiff, element, count, table).
While performance continues to improve, it is not intended to compete with large commercial solvers.

value: Show HN: Selen – Constraint Satisfaction Solver in Rust

author: aquarin


value: snipextt

value:
Hi HN,
I'm building Wacht (https://wacht.dev/ | https://github.com/wacht-platform/) after years of freelancing on enterprise SaaS products and getting tired of cobbling together tools that don't actually work together.
(Note: the landing page has a waitlist signup - jump straight to the demo below to actually try it)
The problem I had was:
There's no cohesive ecosystem for building SaaS apps. I don't want to spend half my time on integration gymnastics instead of solving actual problems. Every project becomes "how do I sync data from one product to this other product and then another one”
What I built instead:
A unified platform which deploys infrastructure for:
- CIAM suite
- API Keys & Distributed Rate Limiting
- Real-time in App Notifications
- Webhook and analytics
- AI Agents
And an SDK to consume all of this infrastructure + white label support
My primary motivation is I want all of this working from day one instead of forcing integration of other desperate tools.
This has been promising so far, I took it to a previous client, they integrated it and saw faster development on their AI agents offering. They are considering paying for it as well.
Try it out:
I've deployed a demo of the CIAM suite: https://demo-9kg.pages.dev/
You'll need to sign up (I recommend social login with Google - it's faster and I'm hitting email sending limits for verification, though it does work). I don't actually need your real details for the demo.
While making the CIAM suite, my reference was Clerk because of the DX but it was expensive and not as “comprehensive” as they advertise it to be, extending anything related to it and I felt like I hit a wall.
Fair warning: Still actively building some features and cleaning up AI-generated code that I'm not happy with. The core works, but expect rough edges.
Two questions for HN:
- Best way to open source this: I want to earn from this but at the same time I don’t want to lock people in, hence I will have all the source code and deployment instructions open but at the same time I don’t want somebody to just copy it and then compete, will not be the best experience. What license works best here?
- Extensibility: I want this to be easily extendable so developers don't hit the walls I did with existing tools. What patterns have you found work best for this?

value: Show HN: Wacht – Complete SaaS Toolkit

author: snipextt

title: Show HN: Wacht – Complete SaaS Toolkit


value:
I often write Google Apps Script (GAS) projects that rely on XmlService, but I found it hard to test them locally.
So I created @yoshi389111/fake-xmlservice, an npm package that implements XmlService in Node.js.
- Works with Jest (e.g., put it in `setupFilesAfterEnv`)
- Allows local unit tests for GAS code using XmlService
- Supports parsing and serializing XML (partially complete, not 100%)
- API is designed to be a drop-in replacement for GAS's XmlService
Repo: <https://github.com/yoshi389111/fake-xmlservice>
Package: <https://www.npmjs.com/package/@yoshi389111/fake-xmlservice>
It's not fully complete yet, but it already works for my use cases.
I'd love feedback on:
- What features you'd expect in a testing library for GAS XmlService
- Any edge cases you ran into with XmlService in your projects
Thanks!

value: Show HN: Fake-xmlservice – Local XmlService implementation for GAS testing


value: Justineo

value: - ECharts 6 support<p>- Slot API for tooltip and dataView<p>- Improved style injection<p>- Brand new demo site

value: Show HN: Vue ECharts 8.0 is out

author: Justineo

title: Show HN: Vue ECharts 8.0 is out


value: lymanli

value: I recently launched a small project that turns your photos into pixel art portraits. You just upload a picture, pick a style (retro, anime, chibi, etc.), and it generates a pixel version of you in seconds. Unlike the usual one-click pixel filters, this one lets you customize details and add accessories so the result feels more like a proper avatar. It’s meant for people who want a fun profile picture for games, social media, or just something playful.

value: Show HN: I built an AI pixel portrait generator

author: lymanli


value: pundo

value:
Hi HN,
I launched an AI tool a few months back to help with product management interviews. It's Leetcode-style prep, but you can verbally respond to questions and receive feedback.
I originally started it as a side project, but it blew up on Linkedin and we're nearing 5-figure ARR. I would be grateful for some honest feedback and advice on both the growth and engineering side. I'm particularly interested in:
- What's one feature you feel is glaringly missing?
- How did similar educational consumer apps (7sage, Leetcode) scale beyond just ads?
- Should I implement a landing page? I wanted to give users the least friction when signing up, but every other consumer app has one.
Any other thoughts would be appreciated, thanks!

value: Show HN: Mocked – AI-powered mock interview tool for PMs

author: pundo


value: davidsilvestre

value:
I built a comprehensive environment setup tool that automatically configures a complete development environment on macOS. Features include AI tools (Ollama, LM Studio), modern terminals, complete dotfiles, and intelligent parallel processing.
The tool has zero ShellCheck errors/warnings and is production-ready. It's particularly useful for new Mac setups, team onboarding, or anyone wanting a modern development environment without the manual configuration hassle.
Key features:
- 10 preset configurations (minimal to everything)
- AI tools with local LLM support
- Modern terminals (Warp, iTerm2, Alacritty, WezTerm, Kitty)
- Complete dotfiles (Shell, Git, SSH, editors)
- Zero ShellCheck errors - production quality code
- Intelligent CPU detection and parallel processing
Quick start:
```bash
git clone <a href="https://github.com/davidsilvestrehenao-hub/env-setup.git" rel="nofollow">https://github.com/davidsilvestrehenao-hub/env-setup.git</a>
cd env-setup
./setup-env.sh install --config configs/webdev.yaml
```
Available configs: minimal (~20 packages), webdev (~50), ai (~60), devops (~80), everything (113+ packages).
GitHub: https://github.com/davidsilvestrehenao-hub/env-setup
What do you think? Any features you'd like to see added?

value: Show HN: Production-ready macOS dev environment setup with 10 preset configs

author: davidsilvestre


value: jpgerek

value:
I asked this same question last week in the r/dataengineering subreddit and got some interesting answers:
- Unit/Integration testing is often dropped because of tight deadlines and low perceived business impact.
- It helps, but they're not a full solution for data quality.
- Many Data Engineers don't have a Software Engineering background, so common practices like testing often aren't applied.
- Creating multiple input/output tables with realistic synthetic data is complicated.
- Tooling and frameworks for testing data transformations are still pretty limited.
I'd like to hear Hacker News's perspective on this.
I also built an open-source toolkit/framework called Pybujia to help with some of these pains: https://github.com/jpgerek/pybujia/

value: Show HN: Why Don't Data Engineers Write Tests?

author: jpgerek


value: Cyao

value: It also has a 2+ month battery life!

value: Show HN: Leptosis – A 7.5mm split wireless keyboard

author: Cyao

story_text: It also has a 2+ month battery life!


value: Voycawojka

value: Show HN: Curated gamedev specific search engine

author: Voycawojka


value: ryjo

value:
Hey, HN!
CLIPSQLite is a library for working with SQLite databases within CLIPS rules engines. It provides the basics like opening and closing connections, as well as more advanced ones like binding named variables to prepared statements and returning results as Facts and Instances.
Aside from being a lot of fun to create, my goal in making this is to open up the possibilities of using CLIPS in real world systems. Give it a look, and let me know what features you'd like to see added next!

value: Show HN: CLIPSQLite – A SQLite Library for Clips Resources Readme

author: ryjo


value: txthinking

value: Show HN: I created an app that can be used to download old versions of iOS apps [video]

author: txthinking


value: Fyradev

value:
Want to try it? I give it for free to the first 20 merchat, just get in touch with me:
support@getfyra.com

value: Show HN: I built a Shopify app that make discounts easy, even on markets

author: Fyradev


value: Show HN: Swapple, a little daily puzzle on linear reversible circuit synthesis


value: shouldbeshippin

value:
I built a "bring-your-own-storage" gallery tool you can use with your Google Drive. Just plug in your Drive and create polished galleries with likes, downloads, password protection, expiring links, etc. without paying for hosted storage.
Here is an example gallery (images load directly from Google Drive): https://elliecooper.picspot.co/wedding-rebellion-workshop
Mostly businesses (like photographers and visual artists) use it to deliver work to clients in a "white-label" way, but I also know people who found Google Drive UI to be unintuitive when sending photos to family so they use PicSpot :)
The tech stack:
– Vue.js frontend
– Hono backend
– Google Drive API
- Cloudflare infra (pages, workers, D1 database and KV storage).
I'm rolling out watermark support and Dropbox integration soon, plus probably integrate multi drive support.
Curious to see what you think!

value: Show HN: Create Photo Galleries from Google Drive Folders

author: shouldbeshippin


value: sirbraavos

value: Demofy is a macOS app that makes it effortless to showcase your iOS apps. Record from the Xcode Simulator on macOS, frame your video, trim, and export all in one app.

value: Show HN: Demofy, iOS App Mockup and Demo Generator

author: sirbraavos


value:
Mix is a  multimodal agents SDK. It comes with a GUI playground for testing and debugging SDK workflows.<p>•  Built for multimodal workflows instead of code based workflows
•  The GUI playground is built from the typescript SDK
•  All project data is stored plain text and native media files - absolutely no lock-in.
•   The backend is an HTTP server, check out our python and typescript SDK's

value: Show HN: We Built Mix, a Multimodal Agents SDK


value: blackmamoth

value:
I built *Envyron* to simplify setting up environment variables and generating boilerplate code for new projects.
- Define service templates with their environment variables
- Combine services into project templates
- Generate `.env` files and ready-to-use code snippets (TypeScript, Python, Go)
- Mark variables as required or optional for validation
It’s *not a secrets manager*, so don’t store production secrets here, it’s just for templates and boilerplate.
I’m curious if this way of managing env var templates and generating code snippets makes sense. Any thoughts on how this could be improved or made more intuitive?
Try it: https://envyron.vercel.app
Github: https://github.com/blackmamoth/envyron

value: Show HN: Envyron – reusable env var templates and code snippets

author: blackmamoth


value: fabrotich

value: Show HN: I built Easy Scribe to automate documentation from screen recordings

author: fabrotich


value: exploraz

value: Show HN: Web server does not exist

author: exploraz

title: Show HN: Web server does not exist


value: Show HN: Control Theory Puzzles

title: Show HN: Control Theory Puzzles


value: vibhorpravin

value: Simple puzzle game to solve for prime numbers

value: Show HN: Find Your Prime

author: vibhorpravin

title: Show HN: Find Your Prime


value: JannikJung

value:
Hi HN,
I built Dictly, a macOS app that turns your voice into styled text in near real-time (~200ms latency). Unlike most dictation tools, everything runs 100% on-device: no cloud, no servers, no internet required.
Main features:
 •  Instant streaming transcription — words appear as you speak
 •  Privacy-first — all processing happens locally on Apple Silicon
 • ⌨ Quick Capture anywhere — press a hotkey and dictate into any text field, system-wide
 •  Custom dictionaries — teach Dictly your jargon, names, or code
 •  Customizable post-processing pipelines — remove fillers, auto-format lists, adjust tone, or apply regex rules in real time
It’s available now on TestFlight with the official release pending on Apple's approval!.
I’d love feedback — especially from developers, writers, and productivity nerds. I’m particularly curious how people feel about the pipeline customization (per-word, sentence, or full transcript).
Link: https://dictly.app
Thanks!
Best regards,
Jannik

value: Show HN: Dictly – Real-time dictation. Styled, in place

author: JannikJung


value: andreisergo

value:
I got tired of fighting through spammy tool sites just to do something simple, so I made Toolbrew in a few hours on Replit. Just a bunch of free little tools in one place. Text converters, SEO checks, video downloaders, that kind of stuff. No signups, no ads.
If there is a tool you wish existed, you can request it on the site and I will build it. Do your worst. Seriously, ANY tool.
Maybe it helps, maybe not. Enjoy!

value: Show HN: Toolbrew – Free little tools without signups or ads

author: andreisergo


value: Show HN: French Poule Web is forking

title: Show HN: French Poule Web is forking


value: JoeCortopassi

value:
It's always a bit confusing trying to understand what each companies offer actually means for your total comp each year. I made a simple tool that lets you input the relevant info and gives you a visual breakdown of your total comp over the years. Static site, no backend slurping up data
Best part is the url updates in real time, so you can copy the url (or "Share this offer" button) to show someone else what an offer represents.
- If you're a recruiter, this is an easy tool to help a candidate understand your offer
- If you're asking a friend/mentor/spouse for advice, this is an easy way to give them context
Hope it's helpful!

value: Show HN: Engineering Offer Breakdown

author: JoeCortopassi

title: Show HN: Engineering Offer Breakdown


value: dinodanci

value:
Hi everyone,
I built a CLI tool called *diny* that generates Git commit messages directly from your staged changes.
- It runs `git diff` and filters out noise like lockfiles, build artifacts, and binaries.
- From the cleaned diff it suggests a clear commit message.
- You can confirm or refine the message before committing.
Key points:
- No setup or API keys required.
- Lightweight, local-first workflow.
- Supports different lengths and styles (short, normal, long; conventional or simple).
- Built in Go with Cobra for a familiar CLI experience.
Repo: https://github.com/dinoDanic/diny

value: Show HN: Diny – Git diff commit messages

author: dinodanci


value: jmcodes

value:
Read this article by Cloudflare this morning https://blog.cloudflare.com/code-mode/ the main argument being that LLMs are much better at writing typescript code than tool calls because they've seen typescript code many more times.
HN Discussion: https://news.ycombinator.com/item?id=45399204
https://news.ycombinator.com/item?id=45386248
Deno provides a great sandbox environment for Typescript code execution because of its permissions system which made it easy to spin up code that only has access to fetch and network calls.
Stick an MCP proxy on top of that and you've got "CodeMode" (code intermixed with MCP tool calls) for more advanced workflow orchestration.
https://github.com/jx-codes/codemode-mcp
There's a lot of things that can be improved here. Like a virtual file system for the agent to actually build up its solution instead of being forced to one shot the solution but the bones are there.

value: Show HN: I built an MCP server using Cloudflare's code mode pattern

author: jmcodes


value: pekingzcc

value: Show HN: Scream AI: Ransform Your Selfies into Cinematic Y2K Horror Photos

author: pekingzcc


value: jsattler

value: Show HN: A Firefox extension to avoid distractions

author: jsattler


value: markznyc

value:
Just release this app using Vibe Coding, it took me 2 weeks from idea to release in store, 1 week for building, 1 week to fix 3 apple review rejections. Here is what I learn:
1, I didn't write single line of code, Cursor+Xcode handle 90% of the work, but I still need to fix some weird issues and bugs myself.
2, You don't need revenueCat or Adapty for in app purchase, apple's new store kit2 handle all the cases including server side receipt validation, I didn't even use cocoapods which make things faster
3, Your main role is product manager that test each new features AI added, so remember to use many git push and branches to save work
4, Building the app is easy now, but the harder part is marketing and how to grow it into real business, which I am still learning
5, I got the app name from AI, even the main ICON is generated by AI, but I did spent $240 on upwork for App Store marketing design
6, sometime the cursor can't fix a compiler issue, I copy paste the code to chatgpt for 2nd opinion which is working.
Here is the app link, feel free to check out:
https://apps.apple.com/us/app/pinmapper/id6752612645

value: Show HN: Vibe coding an iOS app from idea to release, here is what I learn

author: markznyc


value: marxism

value:
Hey HN! I built this Rust CLI tool to scratch my own itch in about 3 hours using AI coding (Claude Code + Cursor) and wanted to share it as a concrete example to support the "AI makes you more productive" camp. I know that people talk about being more productive, but then catch flak with "so what did you ship".
What it does: This tool solves my problem: You have a JSON file that changes regularly, and you want to track its history without storing dozens of full copies.
json-archive creates a .json.archive file next to your original JSON file. Each time you run the tool, it calculates only what changed and appends those deltas to the archive. You get complete history with minimal storage overhead.
The archive format is human-readable JSONL (not binary), designed to be hackable and easy to inspect, debug, and pipe into other scripts or web visualizations.

  Repo: https://github.com/PeoplesGrocers/json-archive (AGPL so maybe don't look at it on work computers)

Why I'm posting: People keep saying AI coding makes them productive, but there aren't many concrete examples to study. So here's mine:

  - Bunch of working Rust with documenation
  - Working tool with proper error handling, testing, and real examples
  - Yes, some docs have that "AI feel" and the code takes a bit of a brute force approach.
  - But I'm happy with the file format and the API it came up with
  - It works and I only had to read/understand code rather than write everything from scratch

My question for HN: I have all the Claude Code and Cursor session transcripts that went into building this but I don't know a good way share them so you all can judge whether I'm using these tools effectively or like a noob
Is there something out there? I'm looking for a way to publish these transcripts and maybe leave comments?
If you're curious about AI-assisted development or want concrete examples before adopting it yourself, I think this could be a useful data point. And if you know how I should share these sessions, I'd love to hear suggestions!

value: Show HN: My first vibecoded Rust project, how do I share the AI sessions?

author: marxism


value:
I built Data-Cent because I often need to explore CSVs quickly without firing up pandas or writing custom code.
It’s a Streamlit-based web app where you can: • Upload CSV files (no setup) • Auto-filter and explore the data • Create interactive charts (line, bar, scatter, etc.) • Run quick stats (mean, median, std) • Download a PDF/HTML report of your analysis
Live demo: https://data-cent.streamlit.app/ Source: https://github.com/data-centt/Data-Analytics
Would love feedback on performance and UI/UX — especially from folks who explore data often or build Streamlit apps.
If you find it interesting please help me star the repo. TY

value: Show HN: Data-Cent – Quick and free data analysis


value:
AI Dojo is an open source project for practicing the fundamentals of working with LLMs.
It's an extensible repo with sample exercises that focus on core skills like adding context to prompts, refining outputs iteratively, and problem solving through guided conversations.
Repo: https://github.com/at1as/AI-Dojo
More background: https://www.jasonwillems.com/ai/llm/2025/09/28/Introducing-A...

value: Show HN: AI Dojo – open-source LeetCode-style trainer for AI prompts


value: bilater

value: Show HN: NickelJoke: Premium Comedy for a Nickel

author: bilater


value: I wrote this small utility to be able to select software versions that I want to test my app on when running CI workflows. For example, let's say I am developing a certain plugin of a platform, and I want to always make sure my plugin is compatible with the three latest versions. The query language uses lua syntax.

value: Show HN: CLI tool to query software semantic versions data


value: Show HN: Due Diligence – AI uncovers red flags for email/company using AI search


value: I think code mode is a game changer. You can compose multiple tool calls in a single LLM step.<p>I just built it as a plug-and-play wrapper of vercel's ai sdk.

value: Show HN: "Code Mode" for Vercel AI SDK

title: Show HN: "Code Mode" for Vercel AI SDK


value: tmwalaszek

value: I've my own Go Module proxy that uses SQlite3 and weak cache https://github.com/tmwalaszek/weakcache.

value: Show HN: Go Module proxy – sqlite3 storage

author: tmwalaszek


value: karnoldf

value:
I built *The Point Poker* (https://www.thepointpoker.com/), a free web app to make estimating efforts in Agile teams more engaging.
It takes the standard planning poker method (Fibonacci) and adds *gamification*:
* Teams can use custom cards with unique animations and styles.
* Users gain experience and level up as they participate in sessions.
* Provides real-time collaboration for up to 8 participants per room.
The app is entirely free, currently in beta, and open for testing. I'm looking for feedback on the real-time experience and the gamified elements.
The current limits for free accounts are 1-3 sessions per day and a maximum of 8 participants.
Feel free to jump in and start a session with your team!

value: Show HN: The Point Poker – A Free, Gamified Online Planning Poker Tool

author: karnoldf


value: sauercrowd

value:
We've spent a lot of time iterating our agents with end-users for different use-cases, and ended up re-building the same components over and over.
Things like feedback collection, internal UIs, and hosting infrastructure, instead of spending time on what matters.
So we've decided to build platform that closes the iteration loop and let data scientists focus on building the agent.
Give it a try! Looking forward to hear your thoughts - let us know if this resonates with you

value: Show HN: Run agents locally, share them globally, collect feedback instantly

author: sauercrowd


value:
Major update to MyLocalAI: added Google Search integration for real-time web information access while keeping conversations completely local.
Demo: https://youtu.be/i6pzHbdh0nE
Architecture approach:
- AI processing: 100% local (Ollama, etc.)
- Conversations: Never leave your machine
- Web search: Only when needed, direct API calls
- Privacy: Your data stays local, only search queries go online
This was the first feature on my roadmap after launching the basic version. The hybrid approach gives you the privacy benefits of local AI while solving the "knowledge cutoff" problem.
Built with Node.js. Started as a learning project but turning into something useful.
Since everything runs locally with no analytics, I'd love to connect on LinkedIn to hear feedback and discuss the technical approach with the community.
GitHub: https://github.com/mylocalaichat/mylocalai
LinkedIn: https://www.linkedin.com/in/raviramadoss/ (Connect to discuss technical ideas!)

value: Show HN: MyLocalAI now has Google Search – Local AI with web access


value: raazique

value:
We built Faeb to solve a simple but frustrating problem: most businesses struggle to get a professional website without running into trust issues, hidden pricing, or inconsistent quality.
Agencies often overcharge, freelancers sometimes compromise on delivery, and DIY platforms like Wix/Squarespace leave many gaps.
Faeb offers standardized website development packages that are SEO-ready, mobile-first, and conversion-focused. Every project comes with:
A client dashboard for real-time project tracking (no endless back-and-forth)
Transparent, standardized pricing with no hidden surprises
Delivery in as little as 5 days
An in-house affiliate system so consultants and firms can earn by referring clients
We launched in January 2025, and we’re now doing around ₹2 lakh (~$24K ARR) monthly revenue. Still early, but growing.
Would love feedback from the HN community on:
What pain points do you think are most critical for SMBs in website development?
Any thoughts on how we could improve our dashboard or affiliate system?
You can check us out at https://faeb.in.

value: Show HN: Faeb – Standardized Website Development Packages with Client Dashboard

author: raazique


value: junetic

value:
If you've ever tried dumping a bunch of transcripts or surveys to chatGPT for nuanced quoted tags and themes to extract qualitative insights and patterns—you likely know the results are not great.
We built a tool that makes qualitative and thematic analysis way much more nuanced and accurate than chatGPT while 10x faster than manual tagging.
Try it out and let us know what you think.

value: Show HN: AI Qualitative Analysis Better Than ChatGPT

author: junetic


value: jiffydiffy

value:
I kept missing appointments and meetings because calendar notifications are too easy to ignore. Alarms, on the other hand, always break through silent mode/DND and force you to acknowledge them — but setting them manually every day was another chore.
With iOS 26’s new AlarmKit, I built Beacon: it automatically syncs with your Apple Calendar and converts important events into real iOS alarms. You can define simple rules (like “only events with ‘Interview’ in the title” or “meetings with 3+ attendees”), and Beacon sets the alarms for you — no extra work required.
Would love feedback!

value: Show HN: Automatically set real iOS alarms for calendar events

author: jiffydiffy


value: romanpodpriatov

value:
Hey HN! After watching my mom pay $17 to get a passport photo at CVS (literally just a white background photo), and seeing “visa agents” charge $150+ for DV lottery applications (which are FREE), I went down a rabbit hole.
Turns out there are 952+ different photo specifications across various documents worldwide. US passport wants 2x2 inches. DV lottery needs 600x600px. Schengen visa requires 35x45mm. Japanese visa needs specific head-to-photo ratio. It’s insane.
What makes this different from competitors:
 Multi-Model AI Pipeline:
 •GFPGAN - Fixes low quality photos, enhances faces (your 2015 phone photo? Fixed)
 •BiRefNet - Removes backgrounds WITH accurate hair detection (curly hair nightmare solved)
 •MediaPipe - Validates face angle, eye level, head position in real-time
 •RealESRGAN - Upscales potato quality images to HD
Most competitors use basic OpenCV or one model. I chain 4 models for accuracy.
 Real-time Compliance Validation:
Instead of “upload and pray”, you get instant feedback:
 •Head too tilted?  Shows angle needed
 •Shadow on face?  Highlights problem area
 •Wrong dimensions?  Auto-fixes
 •Background not uniform?  AI replaces it
This catches issues BEFORE you waste money printing/submitting.
 Photo Vault System:
Nobody talks about this problem: families need photos for multiple documents over time. Built a vault system where you can:
 •Store original + processed versions
 •Generate for different documents from same source
 •Share vault with family (one photo session for all kids)
 •Import from previous orders
Perfect for immigrant families dealing with constant paperwork.
 Privacy Architecture:
 •Photos process → deliver → DELETE immediately
 •No training on user photos
 •No permanent storage unless you explicitly use vault
 •Client-side processing where possible
 •2FA + OAuth available
Technical details:
 •Frontend: Next.js + React
 •AI Pipeline: Python + FastAPI
 •Models: Hosted on CPU instances (low price)
 •Database: PostgreSQL for specs, Redis , Celery for queues
 •Payment: Stripe (no crypto bs)
Pricing:
$3.99 single photo, $2.49/photo in bundles. Intentionally undercut everyone because $50 for a cropped photo is criminal.
The boring numbers:
 •30k+ photos processed
 •15 second average processing time
 •99.7% acceptance rate at government offices
 •Supporting 172 countries
Why I built this:
The visa/immigration photo industry is built on information asymmetry. People don’t know requirements → panic → overpay for “professional” help. It’s a $2B industry built on cropping photos to specific pixels.
My goal: Make it so cheap and easy that the predatory “visa consultants” go extinct.
Ask me anything about the AI pipeline, compliance validation logic, or why passport photo requirements are stuck in 1990!
P.S. Yes, it handles the infamous “no smiling” requirement. The AI actually detects smiles and warns you. Because apparently showing happiness is a security threat

value: Show HN: 4-model AI pipeline that handles 952 photo specs across 172 countries

author: romanpodpriatov


value: pyxru

value:
Hello everyone, I am was a big fan of browsers games and I was dream to create something by my self.
I was build small RPG fighting game as mix of my favourite one from childhood. If you want to try: https://t.me/pathofhero_bot

value: Show HN: Step-by-step RPG game on Telegram

author: pyxru


value: Isaac-Westaway

value:
Hey Everyone, been working on a note-taking app called janta (Just Another Note Taking App) the past few months.
You can try it out at app.janta.dev (you will be redirected to app.janta.dev/canvas/temporary, which is the locally-stored whiteboard you can access)
I felt limited with OneNote, Excalidraw, and other infinite-canvas style apps, so I built an alternative. You have access to code-editors, Desmos graphs, and rich text editors (SlateJS). This is because the canvas is designed in a way that allows web components to exist on the same layer as pen-strokes, so you can annotate code, circle points-of-inflection, and programmatically generate graphs using matplotlib.pyplot!
This is a beta release, and feedback would be awesome!

value: Show HN: Free developer-first OneNote alternative

author: Isaac-Westaway


value: abilafredkb

value:
What if AI could solve loneliness by creating authentic friendships across cultural boundaries?
Eintercon connects strangers from 200+ countries for 48-hour "friendship experiments." The twist: participants commit to genuine vulnerability within this time window.
We're seeing remarkable transformation stories – people forming lasting bonds despite language barriers and distance. Some connections evolve into business partnerships or lifelong friendships.
The 48-hour constraint creates urgency that cuts through small talk. Users report deeper conversations than they've had with people they've known for years.
Key questions:
• Can algorithmic matching create more meaningful connections than organic discovery?
• Does time scarcity enhance relationship depth?
• What happens when we remove physical proximity from friendship formation?
Early data suggests we might be witnessing a new social paradigm – meaningful relationships that transcend geographic and cultural constraints.
Curious about your thoughts on the future of digital friendship and whether AI can genuinely address human connection needs.

value: Show HN: Eintercon – AI friendship experiments across 200 countries

author: abilafredkb


value:
Over the past few months, I've been fascinated watching Eintercon evolve from a simple idea into something genuinely remarkable: an AI-powered experiment in authentic human connection that spans 200 countries.
The concept is beautifully simple yet profound: you get paired with a complete stranger anywhere in the world for exactly 48 hours. No profiles, no algorithms based on your data – just two humans curious enough to reach out across digital space and cultural boundaries.
What's struck me most are the stories emerging from these connections. People finding mentors in unexpected places, discovering shared passions across continents, and forming friendships that outlast the initial 48-hour window. There's something refreshing about connections that start without the usual social media baggage.
The AI acts as a thoughtful facilitator rather than a replacement for human judgment – helping break the ice while preserving the authenticity of the interaction. It's an interesting approach to solving the paradox of our hyper-connected yet often lonely digital age.
I'm curious what the HN community thinks: Is this the direction we should be heading with social technology? Can we build platforms that prioritize meaningful connection over engagement metrics? And what safeguards matter most when connecting strangers globally?
Would love to hear your thoughts on the future of authentic digital friendship and whether experiments like this represent a meaningful shift in how we think about online community building.

value: Show HN: Eintercon – Global AI friendship experiment


value: samesense

value:
I made a list of Neovim/iTerm theme pairings that look cohesive when used together. Instead of picking by eye, I scored them by color palette similarity (nearest-neighbor matching) and balance across backgrounds, highlights, and syntax colors.
Top 10 Pairings:
• Everblush × nightly.nvim
• Tomorrow Night × rusty
• Rose Pine × Sakura.nvim
• Challenger Deep × DarkScene.vim
• Atom One Dark × onepro
• Black Metal (Marduk) × nolife.nvim
• Mellow × oldtale.nvim
• Nvim Dark × monoglow.nvim
• Gruvbox Dark × gruvsquirrel.nvim
• Cursor Dark × nordic.nvim
Links:
Video gallery: https://youtube.com/shorts/4803KinmpVw?si=QcoMprBlrDFWVq83
Theme list (TSV with scores): https://github.com/samesense/colors/blob/main/data/end/top10...
Methods: https://rpubs.com/samesense/theme_colors
Screenshots: https://github.com/samesense/colors/tree/main/data/end/scree...
Note: Obvious one-to-one matches (Catppuccin→Catppuccin, Nord→Nord) aren’t included.

value: Show HN: Top Neovim/iTerm theme pairings (color compatibility scoring)

author: samesense


value: PhysicalDevice

value:
I built BlueApex, an app that lets you drop pins and create custom maps based on places. Great for sharing personal recommendations or planning a trip.
I'd love any feedback especially on usability or features you think would be interesting and useful.
To try it out both username and password are guest

value: Show HN: BlueApex – easiest way to share and create maps

author: PhysicalDevice


value:
Built this to give AI assistants native Reddit access. No more copy-pasting links.
You can ask things like "what's the sentiment on TypeScript vs JavaScript in r/webdev" or "analyze the top posts about GPT-5 today" and get instant analysis.
Technical: TypeScript, 3-tier rate limiting (anonymous works fine for most), LRU cache under 50MB. Works with any MCP client, not just Claude.
Someone used it to track reactions to H-1B changes across different country subreddits in real-time - that was pretty cool to see.
Open to feature requests and contributions welcome! Would love to hear how you might use this or any Reddit API patterns you've found useful.

value: Show HN: Reddit browser for MCP clients – works with any AI assistant


value: WolfOliver

value: Show HN: I've build a platform for writing technical/scientific documents

author: WolfOliver


value: justinyokota

value:
Came across HPC-AI.COM, a platform that lets you easily run Qwen-3 VL on high-performance GPUs without managing hardware.<p>- Two versions available: 235B-A22B-Instruct (general multimodal tasks) and 235B-A22B-Thinking (complex reasoning, math, and 2D/3D understanding)
- Preconfigured 8× H200 GPU cluster, optimized CUDA environment
- Launch in minutes, pay-as-you-go, repeat experiments freely<p>A convenient way to experiment with cutting-edge multimodal AI.

value: Show HN: Easily Run Qwen-3 VL on HPC-AI.com

author: justinyokota


value: linkedlistisbad

value: Show HN: I'm creating a stock market visualisation software

author: linkedlistisbad


value: Show HN: New Pomodoro Timer

title: Show HN: New Pomodoro Timer


value: axaysharma

value:
Hi HN
I built BurnShot
, a free image sharing tool designed for privacy-first communication.
Upload an image → share a link → the image burns after a set number of views or a time limit.
No accounts, no personal data, no lingering files.
Inspired by how people share sensitive info but don’t really trust WhatsApp/Instagram’s “disappearing” feature.
This is the beta version — would love to hear feedback from the HN community! What would you improve, and what use cases do you see?
Link: https://burnshot.vercel.app/

value: Show HN: BurnShot – Privacy-focused image sharing with auto-burn after views

author: axaysharma


value: HenryYWF

value:
Hi HN. I built AirSend for digital nomads abroad who prefer to hold their earnings in USD.
What it is
Simple invoicing and payouts. Clients pay a link in fiat. We settle to stablecoins behind the scenes. You can spend from a card or off ramp to local rails. No crypto know how needed.
How it works
1. Create an invoice
2. Send the pay link
3. Client pays by card or bank transfer
4. Funds settle to a wallet, then spend or off ramp
Looking for feedback:
Is the pay flow obvious?
Which countries and off ramps should be next?
I will be in the thread to answer questions and ship fixes.

value: Show HN: AirSend – beta for digital nomads to get paid in USD and spend in USDC

author: HenryYWF


value: patriceckhart

value: I've developed Genesis DB, an event-sourcing database. It's already production-ready, with features like hash chaining, CloudEvents-native design, and built-in GDPR erasure support.<p>I'm thinking about releasing a Community Edition that's free and unlimited, but with a slightly reduced feature set. It could lower the entry barrier for indie developers.

value: Show HN: Genesis DB: GDPR-ready event-sourcing database (say hello to CE soon)

author: patriceckhart


value:
Eigenarc is a chrome extension that makes learning with ChatGPT structured.
You can use the extension to create a step by step learning plan for your goal. The extension seamlessly integrates with ChatGPT to create learning materials for each step.
Please try out and let us know your feedback.
Here is a demo that shows how it works: https://youtu.be/YvL65pdc16U
Relevant previous posts:
https://news.ycombinator.com/item?id=45354754 - Demo video
https://news.ycombinator.com/item?id=45190134 - launch of Eigenarc

value: Show HN: Eigenarc – A Chrome extension that turns ChatGPT into study coach


value: Judy-witch

value:
Hi HN,
I built a small open-source email assistant out of pure laziness.
My inbox is full of noisy notifications, handover chains, and long threads that make it hard to find the real intent of an email.
So I hacked together a system using Node-RED (for event-driven orchestration) and DeepSeek (for analysis).
It turned into a tiny full-stack hack: Node-RED orchestrates the flows, DeepSeek does the analysis, and a lightweight frontend shows the results.
New emails trigger a Node-RED flow automatically
A two-layer LLM setup: first generates ultra-short summaries (one glance readable), then ensures valid JSON output
Frontend parses the JSON to show key intent, info, and suggested reply
Supports separate Chinese and English flows from the prompt level
For my email volume, the AI API cost is minimal (roughly $0.2/day).
It turned my inbox chaos into something manageable, Save me much time, and I thought others might find it useful too.
npm: node-red-contrib-email-analysis-deepseek
Node-RED Flow Library: https://flows.nodered.org/flow/ad230f600644964156ffb18db2f16...
GitHub: https://github.com/witch-Judy/email-analysis-deepseek
Would love feedback from the community.

value: Show HN: Event-Driven Email Assistant with Node-Red and DeepSeek AI

author: Judy-witch


value: PranaFlux

value:
This nifty tool plots the traceroute results and shows you the RTT as well as the distance travelled by the packets!
Supports MTR, flyingroutes and of course, traceroute.
The existing solutions were too limited so I made that.
Let me know if you have any feedback

value: Show HN: Traceroute Visualizer

author: PranaFlux

title: Show HN: Traceroute Visualizer


value:
ZenScript is an Android app that automatically redirects social media apps to your chosen reading material when you hit your daily time limits. Instead of showing a "blocked" screen, it seamlessly opens your ebook or textbook.
Built this after my wife and I kept getting distracted from German exam prep by endless scrolling. We tried every app blocker, but they all had friction - you'd see "blocked" and then manually have to open your study materials, which often broke our motivation.
The key insight: replace the habit rather than just block it. When you tap Instagram after your 30-minute limit, ZenScript intercepts the launch and opens your focus book instead. No friction, just automatic redirection from scrolling to learning.
https://www.zenscript.app/

value: Show HN: When you open Instagram, your textbook opens instead – ZenScript App


value: i-e-b

value:
A combination of Reed-Solomon forward-error-correction codes, and a binary-to-text encoding that allows common human-input errors to be detected and possibly corrected.
This results in a highly resilient code which is very likely to work.
Use for recovery codes, coupons, user account IDs, document tracking, or anywhere else you really want the user to be successful even if they've written it down incorrectly or made a mistake in typing.
It's 4 bits per character, so the same density as hex, plus RS codes.

value: Show HN: Data Encoding for Human Input

author: i-e-b

title: Show HN: Data Encoding for Human Input


value: JasonKui

value:
Hi HN, I’m Jason
While building subscription apps over the past few years, I noticed a recurring problem: paywall design often decides the difference between making a living and making nothing.
 • Two apps in the same category can see 3× different conversion rates just because of how the paywall is designed.
 • Yet most developers lack real data or examples to guide their decisions.
That’s why I built PaywallPro. It helps developers, PMs, and designers:
 •  Explore 46,000+ iOS paywall screenshots across categories.
 •  Track historical versions to see how competitors iterate on pricing, design, and copy.
 •  Benchmark with revenue metrics (ARPU, RPD, etc.).
 •  Watch 2,600+ onboarding flow videos to study the full funnel.
Try it here: https://paywallpro.app
I’d love to hear your feedback, suggestions, or feature requests. I’ll be around in the comments to answer questions.

value: Show HN: PaywallPro – Analyze and optimize app subscription paywalls

author: JasonKui


value: tksii

value:
Bibfixer is a Python tool to automatically clean and standardize BibTeX files.
It often takes hours to make the bib file very clean and consistent. For example, we often have to check if each arXiv paper has been accepted to a conference or journal. The conference names are messed up and not consistent: NeurIPS vs NIPS vs Neural Information Processing Systems vs Neural Information Processing Systems (NeurIPS). The title of the paper is not capitalized properly, e.g., "llm"/"ai" instead of "LLM"/"AI". Some authors may be missing. The list goes on.
With LLMs and recent web search tools, this tedious work no longer needs to be manual. Bibfixer will do this for us: it completes entries with accurate metadata via LLM + web search capabilities, but also enforces a consistent style based on your preferences. Of course, we should check the final output since LLMs can also make mistakes, but this is much easier than doing this fully manually.

value: Show HN: Bibfixer – AI-powered BibTeX cleaner

author: tksii


value: Viaya

value:
I’ve been following both Veo3 and Wan 2.5 closely, and the differences are starting to feel interesting. Veo3 has been the benchmark for cinematic AI video, especially with its stability and audio-video sync.
Wan 2.5, though, takes a different route. It’s built on a native multimodal setup, meaning text, images, and audio are processed together instead of stitched from separate models. That allows smoother lip-sync, more natural background sounds, and videos that don’t feel like patchwork. The workflow is quick: input text or an image, optionally add audio, and you get a preview in minutes.
The question is: does this make Wan 2.5 a true alternative to Veo3, or just another contender? Curious to hear from others who’ve tested both.

value: Show HN: Wan 2.5 vs. Veo3 Who Deserves the AI Video Throne?

author: Viaya


value: Show HN: Before vibe coding-vibe defien and design


value: Thomalloc

value: Show HN: Nihondex Learn Japanese Fast

author: Thomalloc

title: Show HN: Nihondex Learn Japanese Fast


value: MotiBanana

value: Show HN: GCP Emulator UI – A web UI for managing GCP emulator services

author: MotiBanana