value: wainguo

value:
Clone Any Tweet. Remix. Republish
TweetCloner is a creative tool for the X /Twitter.
With TweetCloner, you can quickly clone any tweet, translate or add your own spin, and publish original content without starting from scratch.
The idea came from a simple pain point: sometimes you see a great tweet and think, “I wish I could write something like that — but in my own voice.”

value: Show HN: TweetCloner – A Creative Tool for X, Clone Any Tweet. Remix. Republish

author: wainguo


value: elofgerde

value:
Right now it's a Nicotine patch for brain rot/doom scrolling. You still get the scroll, but with more meaningful content.
WHERE I WANT IT TO GO:
Users mark what they are interested in (e.g. AI, or Space or Whatever), and it should crawl the latest scientific articles, high quality YouTube videos, pods, present it in a format that fits you, in a nice feed.
NOW:
You can search for anything (e.g. "Sea Explorers" --> The app crawls Wikipedia or YouTube and pulls together a short feed (e.g. Columbus, Vasco da Gama etc.,). I'm using RAG so that I always can reference the original data source (feel that is key)
Regardless of source, I'm pulling images from Wikipedia. Right now, this is the biggest struggle, as the quality and number of images per article is limited --> my articles doesn't come out as nice.
Would really appreciate some feedback, especially if you tend to browse Wikipedia a lot

value: Show HN: An endless feed with history, science, tech., business

author: elofgerde


value: alldadev

value: Show HN: Convert HEIC to JPG in browser without server uploads

author: alldadev


value:
KARMA-OpenMedEvalKit is an expandable toolkit for assessing AI models in medical applications,  featuring multiple healthcare-focused datasets with particular emphasis on the Indian healthcare environment.
KARMA can evaluate text, image, and audio-based medical AI models using 21+ healthcare datasets
We support popular models (Qwen, MedGemma, IndicConformer, OpenAI, Anthropic models
- via AWS Bedrock, and practically any HuggingFace models) out-of-the-box
KARMA also handles medical-specific evaluation needs like ASR models that need language-aware post-processing, or having LLM as a judge on rubric based evaluations. KARMA caches model outputs so you can iterate on metrics without re-running expensive inference.
Medical AI evaluation is currently fragmented – researchers often build custom evaluation scripts for each project. KARMA provides standardized metrics and a registry system where you can easily plug in your own models and datasets.
KARMA has extensible registry system with decorators for easy model/dataset integration. It supports custom metrics with dataset-specific post-processing. The model's output are cached based on the datapoint and the model configuration to speed up evaluation iterations.
The Indian healthcare focus came from our work focused on building AI systems for India. Most medical AI benchmarks are heavily skewed toward Western contexts, missing important regional variations in medical terminology, disease prevalence, and clinical practices.
To aid in this, we are also releasing 4 datasets - Medical ASR Evaluation Dataset, Medical Records Parsing Evaluation Dataset, Structured Clinical Note Generation Dataset, Eka Medical Summarisation Dataset.
Find the collection here - https://huggingface.co/collections/ekacare/ekacare-medical-p...
Along with our datasets, we are also releasing 2 models from our Parrotlet series in the public domain licensed under MIT. Parrotlet-a-en-5b: A purpose-built model for automatic speech recognition for medical context for English and Parrotlet-v-lite-4b: A purpose-built model for medical report understanding. Link - https://huggingface.co/collections/ekacare/ekacare-public-he...
We've been using KARMA internally and thought the community might find it useful. Happy to answer questions about the architecture or specific use cases!
GitHub: https://github.com/eka-care/KARMA-OpenMedEvalKit
Docs: https://karma.eka.care
Release blog: https://info.eka.care/services/introducing-karma-openmedeval...

value: Show HN: KARMA – An evaluation framework for Medical AI systems


value: icyfox

value:
tldr: Determystic lets you show bad LLM code patterns once and generate persistent AST validators to catch them forever. Like mypy rules but generated on demand from examples. Right now for Python.
Happy Monday HN,
I've long been a believer in automatic tests and static analysis to help LLM agents give us better output. pytest combined with ruff is a baseline for any AGENT.md file I'm working on these days.
But neither helps in situations where agents write code that's technically valid but just doesn't meet my standards. Overly vague typehinting, importing a library I know I don't want to use, using dataclasses instead of pydantic, or straight up cheating and using a try/except to catch cases within test files that aren't passing but should be.
Thankfully LLMs are able to generate AST parsing code pretty accurately. Could we just use LLMs to create deterministic guardrails for themselves in the future? Here's basically how determystic works:
```
uvx determystic new-validator<p>1. Enter the bad Python code that your Agent generated:
var: Optional[int] = None<p>2. Describe the issues
Don't use Optional - use A | None<p>3. Name your validator
Modern typehinting
```
After this you can run `uvx determystic validate` and get a full validation of your project based on your new rule:
```
 Custom Validator
  main.py:6: Use 'T | None' instead of 'Optional[T]' for type hints
        4 |
        5 | class MyModel(BaseModel):
  >>>   6 |     name: Optional[str] = None
        7 |     age: int
        8 |
```
As LLMs get better and we put more compute behind RL environments, I think a lot of this will be solved at the model layer. But even then the system prompt makes us rely on natural language to describe what is otherwise a more precise problem.
I'm still in the very early days on this approach. But I'd love some feedback about ergonomics and the unusual coding conventions I'm sure people are going to throw at it. Raise an issue if you have examples of things that aren't working and I'll try to get them fixed. Thanks!

value: Show HN: Determystic, get agents to follow your coding conventions

author: icyfox


value: toutoulliou

value:
I made BestDiskPrices after 2 years of coding - a platform that helps users find the best deals on storage devices (HDDs, SSDs, NAS, external drives, SD cards, USB drives) by comparing prices across multiple retailers in real-time.
The site features:
- Real-time price comparison from eBay and AliExpress using their official APIs
- 15+ specialized calculators (RAID, TCO, storage capacity, data migration, etc.)
- Multi-language support (EN, FR, DE, ES, IT)
- Performance metrics and price-per-GB analysis
- Daily price statistics and trends
- Mobile-responsive design with HTMX for dynamic updates
I built this because I was tired of manually comparing storage prices across different sites when building my home server. The calculators help users make informed decisions about storage solutions.
Tech stack: Django, PostgreSQL, HTMX, Tailwind CSS, Celery for background tasks.
Would love feedback on the UI/UX and any additional features you'd like to see!

value: Show HN: I built a comprehensive storage device price comparison platform

author: toutoulliou


value: rahulbstomar

value: Show HN: Free SVG Icons – Browse, customize, and grab icons

author: rahulbstomar


value:
I recently built an iOS app called Settld: Group Restaurant Finder that helps friends decide where to meet by finding restaurants that are roughly equally far from everyone’s location, and displaying information about them.
We’ve all been in chaotic group chats where no one can agree on where to eat — this app cuts through that by calculating a “sweet spot” for the group. For 2 people, it’s the midpoint. For 3 people, it’s the circumcenter. For 4–6 people, it uses a minimum enclosing circle approach (Welzl’s algorithm).
It then shows the top 15 nearby options so there’s no more “where do we meet?” chaos — or $50 dinners after a gruelling 2-hour trip just because no one planned. If anyone’s wondering why I capped it at 15 options, it’s to cut down on decision paralysis.
Would love to get your thoughts: https://settld.space/

value: Show HN: I built an app that uses math to find restaurants nearby the sweet spot


value: hjdev

value: Show HN: Roll the Glass – Random Drinking Game

author: hjdev


value: Show HN: I built a desktop app that indexes your media locally


value: kevintouati

value:
Hey HN!
We just launched HERO 2.0 - a collaborative workspace combining the flexibility of text, the structure of databases and the power of integrations.
It's built for teams who write formal & structured documents like legal contracts, technical specs, SOPs, and policies.
This project is the result of many years acting as corporate lawyer and mega-project specialist, navigating through the maze of complex, high-stakes, structure-heavy and interconnected documents - overlapping the legal, financial & technical.
It's all about bridging the disconnect between transactional teams and operational ones.
You can try it now at [myhero.so](http://myhero.so/) and let us know what you think!
Best,
The HERO Team

value: Show HN: Hero 2.0 – Notion for formal docs (contracts, specs, memos, SOPs, etc.)

author: kevintouati


value: mehradhruv

value:
We run multiple voice AI agents on LiveKit and kept running into the same headaches:
* No way to see TTFT (time to first token) per call
* Hard to measure cost per call
* No visibility into latency across STT → LLM → TTS
* Debugging was basically guesswork
So we built Whispey to solve it.
What it does:
* Cost analytics
* Latency breakdowns (VAD → STT → LLM → TTS)
* Agent evaluation metrics
* Campaign tracking
* Downloadable recordings + transcripts
Runs on Vercel + Supabase today, AWS-native version is coming. It’s tightly integrated with LiveKit.
https://www.whispey.xyz/
 https://github.com/PYPE-AI-MAIN/whispey
If you’ve built voice agents on LiveKit, we’d love for you to try it out and share what’s been working for you. Always looking for best practices from other builders.

value: Show HN: Whispey – Open-source observability for LiveKit voice agents

author: mehradhruv


value: bhackett

value:
Hi HN, I'm the CEO at https://replay.io. We've been working for several months on helping AIs be proficient at using our time travel debugger to fix broken web apps (previous post: https://news.ycombinator.com/item?id=43258585)
Today we're launching https://nut.new to roll these capabilities into a complete app builder for one shotting working web apps.
When you ask Nut for an app, it discusses the requirements with you and develops a plan: how the pages will be laid out, the different features, database specification, APIs the app will use, tests that are needed, and so on.
Nut builds a non-functional mockup first, then implements working versions of the app’s components, then writes tests for those components and fixes the problems they surface using Replay's time travel debugger.  All this is done in parallel, with workers merging changes into the app only when all tests pass, as professional engineers would do.
We want building basic web apps with AI to work reliably and with barely any effort, like waving a magic wand.  We're not quite there yet, but we've been enjoying building apps with Nut quite a bit and want to share it with you.

value: Show HN: Nut – App builder with test writing and time travel debugging

author: bhackett


value: DavidCanHelp

value: Show HN: "I Svelte That", a Book by Claude Code

author: DavidCanHelp


value:
Excited to share something I've been building recently called CandySearch. I made it to solve a personal pain with a SaaS product I built, which was that we were always monitoring Reddit and Twitter to see if anyone had mentioned keywords indicating they were looking for us. Before, we had to go manually respond to posts, often missing good mention opportunities.
Would love for HN folks to try it and let me know what you think!

value: Show HN: CandySe4arch – AI Reddit auto customer finder and replies for lead gen


value: dpraburaj

value:
Hi HN,
I've built an app for macOS that allows performing common SSH operations on Linux servers using a native GUI.
The problem:
Managing multiple Linux servers usually means juggling terminal windows and  copy-pasting snippets/scripts. After dealing with tens of production/staging VPSes at previous jobs, I realized there had to be a better way for common operations I did on a daily basis than my collection of bash snippets.
Features:
- Quickly switch between different servers. Tag servers with arbitrary key values for easy search.
- Real-time dashboard with CPU/memory graphs, disk usage, and uptime.
- Table based interface for processes (sortable/filterable), Docker containers, systemd services, network ports, and system logs etc.
- Built-in file browser.
- Full-featured terminal when you need to drop to the command line.
You can check out the screenshots at https://serverbuddy.app/screenshots for a quick overview of the features supported.
All the above are done through SSH, there are no agents/scripts to install on your servers.
From using the app for a few weeks(admittedly a short duration), I can say I much prefer the ServerBuddy based workflow to my previous workflows.
Pricing:
Free forever for one server, $59 one-time for unlimited servers (includes 1 year of updates).
If you're a developer or sysadmin managing Linux servers from Mac, please do try out the app. I'd love your feedback regarding additional features/workflows etc.
Thank you!

value: Show HN: ServerBuddy – GUI SSH client for managing Linux servers from macOS

author: dpraburaj


value: rgcr

value: Plain text storage for easy syncing and versioning. Integrates with your existing workflow, not the other way around

value: Show HN: Snape, a Minimal Snippet Manager Built in Go

author: rgcr


value:
Hi HN,
As a CS PhD student, I was tired of fighting with LaTeX to update my CV. I found most popular templates were ugly, missing features, or too complex to customize. I built CleanCV as an academic LaTeX template to fix these issues.
I designed it with three principles in mind:
- Modern: It's designed to look clean and readable from the start. You can focus on your content, knowing the aesthetics are already handled.
- Minimal: The syntax is simple and intuitive, so adding or changing content takes seconds. You don't have to re-learn complex structures every time you make an update.
- Modular: It's easy to customize. You can reconfigure sections or change colors without the whole document falling apart.
CleanCV has a few key features to solve common frustrations:
- Dual CV/Resume Mode: A single command flips your document between a comprehensive CV and a condensed resume, both from the same source.
- Contact Bar: A simple header with icons for your GitHub, LinkedIn, website, and more.
- Smart Publications: Creates a publication list from your .bib file that automatically bolds your name and supports joint-author notation.
- Automatic 'Last Updated' Date: Every compile automatically updates a timestamp in the footer, so everyone knows your CV is current.
I'm looking for feedback to make it better. Please check it out on GitHub, give it a star if you like it, and open an issue with any suggestions. It's still "in beta". Let me know what you think!
https://github.com/giladturok/CleanCV

value: Show HN: CleanCV – I was tired of ugly LaTeX CV templates, so I built my own


value: kissaprofeetta

value: I am happy to announce the next major version of pywebview, a lightweight Python framework for building modern desktop applications with web technologies. The new version introduces powerful state management, network event handling, and significant improvements to Android support. See https://pywebview.flowrl.com/blog/pywebview6.html for details.

value: Show HN: pywebview 6 is out

author: kissaprofeetta

title: Show HN: pywebview 6 is out


value: Show HN: Share code snippets instantly

title: Show HN: Share code snippets instantly


value: dalenguyen

value:
Hey HN,
For many senior engineers, the jump to a Tech Lead or Staff Eng role can be challenging. TechLeadPilot is a new platform designed to help with this transition by providing AI-driven tools, including simulations, career roadmaps, and projects.
We believe that hands-on practice and targeted guidance can make a significant difference. The simulations are designed to mimic real-world challenges, helping engineers build the skills and confidence needed to succeed as a leader.
Would love to hear your thoughts and feedback!
Check it out here: https://techleadpilot.com/simulations

value: Show HN: TechLeadPilot – Simulations for senior devs transitioning to next level

author: dalenguyen


value: piyiotisk

value: Show HN: I made an AI video captioning tool

author: piyiotisk


value: VAC-AGI

value:
I’m Victor Kuznetsov. For the last ~6 weeks I’ve been building ViktorADAM Core (VAC) — an AI system with a human-like memory stack (working, episodic, semantic, procedural, meta) used directly for reasoning. Unlike typical RAG, VAC runs entirely offline and adapts over time to the user.
Why it’s interesting
Human-like memory: consolidates context across sessions; periodic cleanup keeps long-term state sane.
Self-learning (Q-utility): prioritizes what to remember/retrieve based on usefulness.
Self-reflection: validates and corrects its own reasoning traces.
Languages: English + Russian today; CN/ES planned.
Real-world test
Ran in an air-gapped setup processing 15–20 MB PDFs (policies/protocols) and answering multi-hour dialogue queries without any external APIs.
Tech notes
FAISS for ms-level semantic search
SQLite for offline storage
Async pipeline; streaming responses
Rule/logic parser for “if A and B then C” style queries
Web UI + REST API (/api/chat, /api/upload); modular LLM backend (currently Ollama)
Repo (public marketing repo; core code abstracted for privacy):
https://github.com/vac-architect/vac-agi

value: Show HN: VAC — AI with Human-Like Hierarchical Memory that Learns and Improves

author: VAC-AGI


value: Show HN: AI Chat and Interactive Dashboards for your product


value: ccareaga

value: Show HN: Photo Relighting with Physically-Based Lighting Control

author: ccareaga


value:
I built a live video privacy filter that helps smart glasses app developers handle privacy automatically.
How it works:
You can replace a raw camera feed with the filtered stream in your app. The filter processes a live video stream, applies privacy protections, and outputs a privacy-compliant stream in real time. You can use this processed stream for AI apps, social apps, or anything else.
Features:
Currently, the filter blurs all faces except those who have given consent. Consent can be granted verbally by saying something like "I consent to be captured" to the camera. I'll be adding more features, such as detecting and redacting other private information, speech anonymization, and automatic video shut-off in certain locations or situations.
Why I built it:
While developing an always-on AI assistant/memory for glasses, I realized privacy concerns would be a critical problem, for both bystanders and the wearer. Addressing this involves complex issues like GDPR, CCPA, data deletion requests, and consent management, so I built this privacy layer first for myself and other developers.
Reference app:
There's a sample app (./examples/rewind/) that uses the filter. The demo video is in the README, please check it out! The app shows the current camera stream and past recordings, both privacy-protected, and will include AI features using the recordings.
Tech:
Runs offline on a laptop. Built with FFmpeg (stream decode/encode), OpenCV (face recognition/blurring), Faster Whisper (voice transcription), and Phi-3.1 Mini (LLM for transcription analysis).
I'd love feedback and ideas for tackling the privacy challenges in wearable camera apps!

value: Show HN: Real-time privacy protection for smart glasses


value: dduplex

value:
Hey everyone. I’ve been working on this for a little while as a fun personal project. It’s a minimalist writing app that mostly just leaves me alone. There is no text formatting, spellchecking, or markdown-ing. Just a bare-bones, decently solid writing surface.
There are a few features I’ve added over time that I thought were useful. There’s a small word counter, an auto-hiding nav, and a focus mode, which highlights the block of text you’re on and fades out the rest. I use it a lot for first drafts of things, which I like to print out and make edits to by hand, so I’ve set it up to be print-friendly with large line heights and roomy margins.
My initial focus was to create something first-draft-friendly. I have the type of brain that’s easily derailed by little distractions like red squiggles and pausing to format things. It’s very easy for me to lose my train of thought and creative flow, and I find I write best when I’m able to just get the words out. So I did my best to leave as much on the cutting room floor as I could.
I hope you’ll find this helpful too. Give it a try, and let me know what you think.

value: Show HN: Drift – a featherlight, distraction-free writing tool

author: dduplex


value: iCutMoon

value: I’ve been working on creating diagrams from JSON, YAML and similar formats for about three years. Over time it has grown into a general-purpose diagramming tool. With the recent addition of the MCP Server and ToDiagram Chat, I’m optimistic about where it’s headed.<p>You can use your own OpenAI key, stored locally, without needing to sign up and generate diagrams by using natural language.

value: Show HN: ToDiagram AI – From text to diagram, fast and easy

author: iCutMoon


value: turblety

value: Show HN: React Massive Table

author: turblety

title: Show HN: React Massive Table


value: randomlylelo

value:
Hey HN! I just built an iOS weight lifting logger app for myself. I mainly built it to learn how to use Claude Code and iOS development. Now I am learning what to do now that I have built it! I am a recent CS grad (so an entry level SWE) and I come from a fullstack and robotics dev background. Made a mobile app using Flutter in HS but never did any iOS development.
Quick Blurb:
I built the app as a better version of Apple Notes but a simpler version of the full-featured workout logging apps. I wanted this app to be super simple, just log workouts in the least amount of clicks and show the data while having an amazing watch interface.
Testflight: https://testflight.apple.com/join/mAfE5kJD
Github link: https://github.com/randomlylelo/curlsapp
Here are some of the lessons I learned from using Claude Code:
- Agents are powerful, but the best way to use them is to be ultra-specific and do it per project. The general repos are quite useless. I made a iOS developer agent and it was super powerful: https://github.com/randomlylelo/curlsapp/blob/main/.claude/a...

    - I initially used it to help add animation to all my screens and make everything consistent in my code. The commit is here: https://github.com/randomlylelo/curlsapp/commit/524fd65dac6d3534bd5862b91e3f7d507803e030

        - It broke one of my screens but it was a simple fix.

    - I used it whenever I had a difficult feature. It worked better than just 'ultrathink', it did use more tokens though.

- It is quite useful in learning and exposing concepts. I used it to expose me to iOS app patterns. I ended up using a weird combo for the design, but I put the description of the new structure in Claude.md. Then the agents and Claude Code was able to build to this new structure.
- While using Claude Code, I could prompt it with a feature I would want, while it was building it, I would think about the next feature, then come back to it once it finished building. I was doing this sequentially and was able to spend a lot of my time thinking about the design. I was pretty specific in drafting my prompts and ideas before.
This is my current experience with Claude Code and I would love to hear your thoughts on my app / code / experience with Claude Code. If you are an iOS dev, I would love learning from you.
I am still working polishing the app so I can use it everyday but wanted to publish something first :). The apple watch integration will be worked on next.
Note: My initial version took about 4 days, then I took a break to go through the App Store process. I tried to keep the code as clean as possible but I think I do need to refactor it manually soon. I have been working out and using it myself.

value: Show HN: I built an open-source workout tracker app in 4 days with Claude Code

author: randomlylelo


value: heliosinc

value:
Hi HN,
I've been frustrated with the quality of medical and health responses from general-purpose LLMs like ChatGPT and Gemini. They often provide generic, non-committal advice and don't seem to effectively search or cite the actual medical literature with fast responses.
So, I decided to build my own solution: OpenHealth.
https://www.my-openhealth.com/
It's an AI-powered platform designed specifically for high-quality health information. Under the hood, it uses a combination of Retrieval-Augmented Generation (RAG) over 38 million medical abstracts (from PubMed and other journals), paper quality ranking, fine-tuned models, and specialized prompting to generate responses that are grounded in scientific evidence. Importantly the prompts, analyses, and reports are crafted by a team of doctors and scientists to provide high quality health information that is vetted.
The goal is to provide users with direct access to insights from the literature, calculate personal health risks based on studies, and even analyze supplement ingredients/stacks etc.
The ultimate vision is to build "health superintelligence" — models that are state-of-the-art on medical, wellness, and longevity benchmarks.
I'm launching it today and would love to get this community's feedback on the approach, the quality of the responses, the UI/UX, and any other thoughts you have.
Thanks for checking it out!

value: Show HN: Was frustrated w ChatGPTs health advice so I built better biomed search

author: heliosinc


value: shashanoid

value: Show HN: I built a simple PDF text editor

author: shashanoid


value: DavidCanHelp

value: Show HN: A Choose-Your-Own-Adventure Constructed by Claude Code


value: Show HN: Quit Kitty – An iOS app that tricks you into quitting vaping or smoking


value: danterolle

value: It requires no registration, no installation, and no configuration. Just run it on any computer and start drawing freely.

value: Show HN: I built an offline, open‑source desktop Pixel Art Editor in Python

author: danterolle


value: rohannihalani

value:
I know there’s a growing community of people who see how damaging short-form media is for our attention spans, yet every major platform keeps pushing more of it down our throats.
That’s why I built a platform entirely for long-form media, a place where people can dive into ideas deeply to gain real knowledge.
I don’t expect this to resonate with everyone, but if you’re also craving a space that’s anti-brain rot and pro-deep thinking, you might like it. I can't tell you how excited I am about this!
You can try it out using the link. Does not require sign up

value: Show HN: Deep thinking platform for long-form content discovery

author: rohannihalani


value: tTarnMhrkm

value:
This is my first SaaS, and I built it out of my own frustration. I wanted a better way to manage promo code giveaways for students or run campaigns on Reddit, but the manual process was a time sink. I spent hours sorting DMs, trying to be fair, and getting zero useful data from the whole process. I lost opportunity from users genuinely interested in my products.
This is where I realized my "first 20 DMs" giveaway was a liability, I needed to turn it into a marketing asset.
So, I built Promo Code Queue: https://promocodequeue.com
It's a web app that automates the entire giveaway process. You:
1. Add your product details.
2. Create a promotion and paste in your list of single-use codes (from the App Store, Stripe, Steam, etc.).
3. Get a single, shareable link.
When you post that link, the app handles the rest. It distributes the codes one by one on a fair, first-come-first-serve basis. It uses Cloudflare Turnstile and IP checking to ensure bots don't grab all your codes, and it stops automatically when the codes run out.
Crucially, when the codes are gone, the page instantly converts to a mailing list signup form. It turns that moment of scarcity into an opportunity to capture leads from interested users for your next drop.
The Pro plan also includes an analytics dashboard to track visitors, claim rates, and top referrers so you can actually see the ROI of your campaigns.
Tech Stack:
Frontend: Next.js / React on Vercel
Backend: Firebase (Firestore, Auth, and Cloud Functions for all secure logic like claiming codes, IP checks, and analytics aggregation).
Payments: Paddle
The Business Model:
There are two simple paid tiers ("Starter" for one app, "Pro" for unlimited apps and analytics).
I'm also a big believer in open source. The self-hosted "Hobby" version is available now on GitHub: https://github.com/promocodequeue/promo-code-queue-hobby
To show you how it works, I'm giving away some codes for my most popular Mac app, "USB Connection Information."
If you have a Mac, you can grab one here using the platform:
https://www.promocodequeue.com/promo/b7qg9jd
I would love to get your feedback on the app, the pricing model, and any features you think are missing.
Thanks for checking it out!

value: Show HN: My First SaaS – Turn App Giveaways into a Marketing Asset

author: tTarnMhrkm


value: azizxe

value:
Ever had a startup idea stuck in your head because building landing pages, validating ideas, and creating a brand felt overwhelming or expensive?
I built StarterPilot to solve that. It’s a web app that helps you take any idea and turn it into a real, visible project—today.
StarterPilot gives you instant market analysis, generates competitor breakdowns, creates unique names (with domain checks!), and even designs custom logo icons. The AI-powered landing page builder means your idea can have a home online in minutes, complete with a waitlist and contact form.
You can publish your idea to our global Idea Map, see how many people support it, and connect with others—all without spending a dime.
If you’ve got a backlog of ideas, or just want to see how fast you can go from concept to launch, give it a try: use promo code "FREESP25"
Happy to answer any questions here!

value: Show HN: I built a tool to launch all your startup ideas today (free promo code)

author: azizxe


value: HimTortons

value:
Most AI “personalities” vanish when you switch models or devices.
I built a Persistent Mind Model so you can train & evolve a personalized AI — and take it anywhere: across sessions, models (GPT, Claude, LLaMA, Mistral), even devices — with all memories & commitments intact.
You could think of it as your very own personal AI Tamagotchi.
You tell it what to think, how to think, and it learns and develops through its interactions and recursive, self-referential reflections over time.
The best part? It’s fully portable. APIs or local LLMs simply serve as a substrate engine for its development.
Its long-term operability is 100% decoupled from third-party vendors.
I would really love some feedback from this community.
Thoughts?

value: Show HN: Persistent Mind Model – Portable AI Personas for Any LLM

author: HimTortons


value: WhitneyLand

value:
I wanted to find out how good LLMs are at composing music, being that language models are not explicitly trained to do so.
RiffMCP is an MCP server that makes that possible by providing any LLM with a tool for playing and engraving music.
How did they do?  The demo video shows music composed by Opus 4.1, Gemini 2.5 and GPT 5 for comparison.
It’s a local server that runs as a native app on macOS.  This means that using included prompts it can also work with LLMs that don’t yet support MCP.  For example to test GPT 5, I prompted it to compose music and output RiffMCP’s format, then copy/pasted the result into the app to hear it playback and see the sheet music.
It’s mostly experimental so far, but I may consider improvements like driving external midi.  Full code provided under Apache 2.0 license.
Feedback appreciated, contributions welcome.
Watch demo:
https://youtu.be/Ksfw34dtIro?si=c3MERdxm9dhAwXiv
Code:
https://github.com/whitneyland/riffmcp
Try it out:
https://whitneyland.github.io/riffmcp

value: Show HN: RiffMCP is an MCP server that lets LLMs compose, play, and render music

author: WhitneyLand


value: dinnison

value:
Hi everyone — I’m Clark, creator of Keeps, a way to send physical postcards that play your voice with a quick QR code scan.
WHAT IT IS
Upload a photo (or pick from Unsplash), write a message, optionally add a 60 second voice note, and send a 4×6 postcard. QR code printed on the postcard links to a “digital card” that plays the audio. $5 flat, printing + postage included. No account required.
WHY I BUILT IT
I love mailing postcards to my family but hate it's a hassle (finding card, buying stamp, handwriting, praying it arrives on time). I wanted to merge the charm of physical mail, the warmth of voice messages, and the efficiency of software.
HOW IT WORKS
Built with Next.js, Supabase, Stripe, Resend, and Lob. QR codes link to hosted audio. Stripe handles payment. Lob prints and mails the cards. Resend emails status updates.
WHAT'S DIFFERENT
- Voice note + physical card combo
- Minimal editor, no sign-up friction
- Transparent $5 price (everything included)
TRY IT FREE
1. Go to https://sendkeeps.com
2. Create your card
3. Use promo code SENDKEEPSFREE for a free send (first 50 people)
FEEDBACK WANTED
- Editor UX
- QR/digital card flow
- Address autocomplete UX
- Critical missing features
- Interesting use cases (wedding thank yous, airbnb hosts, etc)
Happy to share details or answer questions!

value: Show HN: Keeps – Mail a postcard that plays your voice

author: dinnison


value: Show HN: I created a random vibe coding cost estimation site via lovable


value: qwikhost

value: Bulk export Twitter/X posts to CSV, JSON, or Excel with Twitter Post Exporter. Quick, easy social media backup & analytics.

value: Show HN: Twitter Post Exporter – Download Twitter / X Posts

author: qwikhost


value:
I built an open-source AI agent for security testing to find and fix vulnerabilities in your code.
I’ve noticed how bad security vulnerabilities have gotten with everyone shipping AI code slop, so I wanted to build something that allows for vibe-coding at full speed without compromising security.
Traditional security tools aren’t effective, and manual pen-testing can’t keep up with the rapidly growing AI code
This tool runs your code dynamically, finds vulnerabilities, and validates them through actual exploitation.
You can either run it against your codebase or enter your (or someone else’s) domain to scan for vulnerabilities.
Good luck, have fun, hack responsibly!

value: Show HN: Enter your domain and my open-source agent will hack it


value: A collection of quirky ASCII creatures you can copy in one click

value: Show HN : Browse and copy hundreds of tiny ASCII creatures


value: thevinodpatidar

value: Show HN: I have build an platform to boost your SEO and increase traffic

author: thevinodpatidar


value: kamaravichow

value: Show HN: Most advanced video compressor for iOS

author: kamaravichow


value: thusharaj

value: Show HN: Chat with n8n workflows using natural language

author: thusharaj


value: rkttu

value:
I built a GitHub Actions workflow that automatically tracks the official Microsoft C# extension for VS Code, builds it from the latest upstream tag, and publishes it to OpenVSX under the dotnetdev-kr-custom namespace.
This helps keep the OpenVSX registry in sync with upstream releases, reducing the lag users currently experience with the existing community package.
Repo: https://github.com/rkttu/vscode-csharp-autobuild
OpenVSX: https://open-vsx.org/extension/dotnetdev-kr-custom/csharp

value: Show HN: Auto-build and publish the latest C# extension to OpenVSX

author: rkttu


value: kristintynski

value:
Over the past six weeks, I built FIRM (Fractal Identity & Recursive Mechanics)—a formal mathematical framework that starts from five axioms, including a “Recursive Identity” principle, to derive physical reality using category theory and recursion.
Here’s what it delivers without any empirical fitting or free parameters:
Creates the fine-structure constant (α⁻¹ ≈ 137.036), dark energy density (Ωₗ ≈ 0.684), Hubble constant (H₀ ≈ 67.4 km/s/Mpc), proton-to-electron mass ratio (mₚ/mₑ ≈ 1836.15), CMB temperature, and more.
Everything—from particle spectra and galaxy rotation curves to a CMB sky map—is derived ex nihilo via the “Grace Operator” acting on presheaf categories .
The entire framework is open-source and peer-review-ready:
Full derivations, CMB visualization tools, provenance chains from axioms to constants.
158‑page arXiv‑ready paper, code in Python + LaTeX, validation against Planck/DESI/Pantheon+ data.
Check out the repo, dive into the math, run the tests, poke holes—or join the conversation:
:https://github.com/ktynski/FIRM-Fractal-Identity-Recursive-M...
I’m here for feedback—technical, philosophical, critical, or curious.

value: Show HN: Physics from "I am": a recursive model that works?

author: kristintynski


value:
You can generate social media carousel posts with AI in seconds. Perfect for Instagram, LinkedIn & TikTok. No design skills needed.<p>Features:
● Transform any content into stunning carousel posts
    ○ Paste text, topics, YouTube links, or upload PDFs instantly
    ○ Pick your language and how many slides you want
    ○ AI extracts key insights and generates carousels in seconds
● Start with professional designs, not blank pages
    ○ 1000+ professionally crafted carousel templates
    ○ Trending topics and viral content inspiration
    ○ Styles for every niche and use case
● Make it perfect with pro editing tools
    ○ Brand colors, custom backgrounds, and font styling
    ○ AI-powered text enhancement and rich editing
    ○ Authentic social elements: likes, shares, page indicators
● Share anywhere, hassle-free
    ○ Create shareable links in seconds
    ○ Post directly to X, LinkedIn, Instagram, and more
    ○ Download as PNG, PowerPoint, or other formats

value: Show HN: I built an AI tool that turns any content into carousel post


value:
Discover your perfect Chinese name with our playful generator!
Whether you’re looking for a name rich in cultural meaning, one that fits your personality, or just something unique and fun, our tool creates authentic Chinese names in seconds.
Try it out and see which name feels just right for you!

value: Show HN: A Fun Chinese Name Generator

title: Show HN: A Fun Chinese Name Generator


value: gokuan

value:
After talking to dozens of small business owners, I realized something:
They don’t need a “super chatbot” that can do everything.
They need assistants that do just what’s needed — fast, and well.
So I built *Raveneo*, a suite of 5 specialized AI assistants:
- Professional Email (prospecting, follow-ups, client replies)
- LinkedIn Posts (relevant content in 1 click)
- SEO Writing (clear, optimized texts without jargon)
- Quotes & Invoices (professional formats in seconds)
- Contracts / Terms (simple, readable, ready to send)
Why not just ChatGPT?
Because most small businesses:
- Don’t have time to explain the same context over and over
- Want “ready-to-send” results, not drafts
- Aren’t sure how to brief a general AI tool effectively
*Tech stack*: React + Next.js (frontend), Node.js (backend), OpenAI API with specialized prompts, secure storage for personalized templates.
Link: [https://raveneo.com](https://raveneo.com)
I’d love feedback on:
1. The idea of ultra-specialized assistants vs. a general-purpose chatbot
2. Use cases I might have missed
3. Speed and ease of use
Is this the future of AI tools for small businesses…
or just another GPT wrapper?

value: Show HN: Small businesses don't need ChatGPT they need this

author: gokuan


value: aclarembeau

value: Show HN: Fr) Restaurant management software / Logiciel de gestion de restaurant

author: aclarembeau


value: codelif

value:
Hi HN,
I built an MCP server for Puch AI that can work with YouTube videos in a few different ways:
- Answer questions about the video content
- Transcribe the video
- Summarize it
- Understand and navigate via timestamps
The idea came from wanting to quickly pull key info from long videos without manually skimming through them.
I’d love feedback on:
- Accuracy of the Q&A and summaries
- Any features you think would make it more useful
- Possible edge cases I might have missed, right now it works for specific length videos which holds the scope for future enhancements.
For Demo:
visit: https://puch.ai/mcp/HUbLKIfDQQ
Type: /mcp use HUbLKIfDQQ
and then provide any youtube link to get quick summary of the same.
Thanks & Regards!

value: Show HN: YouTube MCP Tool for Puch AI

author: codelif

title: Show HN: YouTube MCP Tool for Puch AI


value: danielVi

value:
I’ve released sarpro, an open-source Rust tool for converting Sentinel-1 Synthetic Aperture Radar (SAR) Ground Range Detected (GRD) products into GeoTIFF or JPEG.
Why?
You know batch conversion can be painfully slow. sarpro is fast (Rust-based), supports CLI, GUI, and Rust API, and includes:
  • Batch processing for many GRDs at once
  • Synthetic RGB composition from polarization channels
  • Autoscaling and padding for consistent image rendering
  • Output as GeoTIFF or JPEG
On my machine M4Pro12, (~500MP) dual-band image scaled to 2048px on the long side and carrying metadata took just 35 seconds with CPU < 22% usage.
I’d love feedback from the remote sensing / EO community — ideas for more processing modes, more RGB presets, or cloud pipeline integration with other tools and workflows welcome.

value: Show HN: Sarpro – Fast Sentinel-1 SAR GRD → GeoTIFF/JPEG in Rust

author: danielVi


value:
Our little team built a small, open‑source browser extension because I wanted page summary/translate/chat without sending data off‑device.
It runs gpt‑oss locally via Ollama. Optional: switch to GPT‑5 if you add an OpenAI API key.
Try:
1.Install the extension (GitHub).
2.Install Ollama, then ollama pull gpt-oss.
3.In NativeMind choose “gpt‑oss”, then highlight text or click the toolbar button to summarize/translate/chat.
Notes: no backend servers from us; with gpt‑oss everything stays on your machine. With GPT‑5, requests go to OpenAI.
Would love feedback on setup friction, performance on your hardware, and missing features. Issues/PRs welcome.

value: Show HN: I built a browser AI to use GPT‑OSS locally (no server)


value: richmans

value: Today I’m releasing the XR2000: A programming challenge with extensive science fiction backstory.

value: Show HN: XR2000: A science fiction programming challenge

author: richmans


value: Show HN: Open-source Heroku PaaS alternative


value: kanodiaashu

value:
I like using LLMs to get summaries, but then I often want to deeply compare docs, read parts of the original, and ask questions as I go, all the while doing some note taking to keep track of my progress.
I built out an interface to help do all of this coherently - in the space above I was comparing gpt/claude/gemini model cards for instance.
Looking for feedback!

value: Show HN: I built a map based interface to understand anything deeply with AI

author: kanodiaashu


value: shashanoid

value: Show HN: Inline LaTeX Editor with Live PDF Preview

author: shashanoid


value: hsuyuting

value:
Hi, tmplx is a compile-time framework using Go for building state-driven web apps.
I find it pretty amazing to write Go code directly in a <script> tag and do server stuff. It eliminates the idea of backend/frontend and lets you just build a "web app".
I'm not sure if this is something the dev world wants or not? Please tell me what you think of this concept.
P.S. The whole thing is in a pretty early stage. there will be bugs.

value: Show HN: Tmplx, build state-driven dynamic web app in pure Go+HTML

author: hsuyuting


value: fredwu

value:
Hi HN!
For the past while I've been building FeedBun, a browser extension that gives you health ratings and research summaries for food products while you shop online or while you look for cooking recipes.
I'm building this because I wanted this product and couldn't find anything similar - most tools I found either required barcode scanning or were limited to specific stores. I wanted something that works seamlessly across all websites. I even have some big features planned for the future.
Tech stack: Elixir/Phoenix via Petal Pro framework for the backend - this is my 3rd SaaS using Petal Pro which I'm also a contributor of.
What makes it unique in my opinion:
* Science-backed analysis: Our AI researches every ingredient against scientific databases and reputable sources and gives you plain English explanations
* Works anywhere: Amazon, Walmart, any grocery site - just click our extension while viewing a product (pages with ingredient info works better with more detailed research), no barcode scanning needed
* Health warning callouts on ingredients that might appear innocent but may have hidden risks
* A suite of personalisation features, such as allergy warnings, dietary preferences, with more to come
Looking for feedback on:
* Does the landing page resonate with you?
* Does the browser extension work well? Any bugs or glitches?
* How useful would this be for your grocery shopping or recipe hunting?
* What features would make this a must-have for you?
* Would you pay for this? If so, and assume the personalisation features mentioned on the landing page (such as allergy alerts, dietary preferences, etc.) are implemented, how much would you be willing to pay per month?
Any comments or feedback are appreciated!

value: Show HN: A browser extension that decodes food labels for healthy eating

author: fredwu


value: Stevinn

value: I built JustGrind to fix the problem most habit apps ignore: they’re either full of hype, too complicated, or impossible to stick with. JustGrind uses AI to learn your goals, guide your daily actions, and adapt as you grow — so progress becomes inevitable. No streak pressure, no empty motivation — just a simple system that compounds results.<p>It’s still in early development, so I’d really appreciate any feedback, feature requests from the HN community.

value: Show HN: I Made a System to Build Habits That Stick Without Burnout or Fluff

author: Stevinn


value: samdychen

value: Show HN: Move to dodge the bullets. How long can you survive?

author: samdychen


value: Show HN: OmniHuman-1: AI Turns a Photo into Lifelike Video


value: NullPointerWin

value: Show HN: Veo 3: AI Video with Built-In Sound

author: NullPointerWin


value: sudofoo

value: Show HN: Real-Esrgan: Real-World Image Upscaler

author: sudofoo


value: melvinzammit

value:
In 2013, I couldn’t find a decent interval timer for my workouts on the Android Market (Google Play wasn’t even called Google Play yet!). Could you believe that? Typing 'interval timer' returned nothing! So I decided to build a simple App while in college.
Fast forward 12 years, that simple timer has grown into an ecosystem: Android, iOS, Wear OS, Apple Watch, and a coaching platform. All built solo, with no AI assistance, and redesigned 4 times to keep up with UI trends.
Over the years I’ve learned a lot about long-term app maintenance, cross-platform challenges, and keeping codebases alive, shifting frameworks, database migrations and OS updates.
Here's to all the solo indie App Developers out there!

value: Show HN: 12 Years Building an Interval Timer App

author: melvinzammit


value: Show HN: I built an app for deep, human-first thinking in an age of easy answers


value: Show HN: A newsletter that shows off weird random URLs from across the internet


value: rebalh

value: Show HN: I coded an AI personal finance copilot using GPT-5

author: rebalh


value: jafranjemal

value:
Hey HN, I'm the creator of AavanamKit. I built this because I was tired of the endless cycle of hardcoding and tweaking invoice layouts for clients.
My solution was to build a visual, drag-and-drop designer component that you can embed directly into a React app. It empowers your users to create their own templates, which can then be generated on the backend with a headless engine.
The project is fully open-source, and I'd be grateful for any feedback you have on the live demo. I wrote a more detailed post about the journey here: https://dev.to/aavanamkit/stop-building-invoices-give-your-u...

value: Show HN: AavanamKit – An open-source React designer for invoices and reports

author: jafranjemal


value: Fr-e-d

value:
The Governor Framework is an open-source, rules-first system to govern AI coding agents.
It combines two layers of rules — master-rules (team-wide invariants) and project-rules (stack-specific) — with manually triggered dev-workflow protocols for bootstrapping, planning, executing, and reviewing feature implementations.
The result: your AI assistant becomes a disciplined, project-aware partner that respects your architecture, style, and workflows

value: Show HN: The Governor Framework – Make AI coding agent respect your architecture

author: Fr-e-d


value: slowhurts

value:
I’ve been running adversary phishing tests since 2005, mostly for companies. Along the way, I realized families are now just as much of a target—but the training out there is built for corporate environments, not households.
So I built HomePhish, a tool that sends safe, fully unique phishing simulations tailored to each family member’s age range and interests.
How it works:
• AI generates a different email every time—no repeats
• Scenarios are realistic for the recipient (grandparent scams, teen gaming scams, fake delivery notices, etc.)
• Each simulation includes a convincing email + image
• Instant feedback when a family member clicks a test link
• Gamified with points & badges to keep people engaged
The goal is to make scam awareness a habit, not a lecture, and help families spot the patterns behind phishing before the real thing hits.
You can check it out here: https://www.producthunt.com/products/homephish or https://app.homephish.com
I’d love your feedback—especially on:
The balance between realism and safety in simulations
Other scenarios you think would help families
Ways to make phishing education stick long-term
Thanks!

value: Show HN: HomePhish – AI-powered scam training for families

author: slowhurts


value: deejayy

value:
Drop the pieces on the board to occupy empty space, complete a row/column/3x3 square (highlighted) to make 'em disappear.
Try "zen mode" for more relaxed experiecnce or "tetris mode" if you want to deal with rotation!
No competition, just try to beat yourself every time.

value: Show HN: Blozz – A block-puzzle sudoku-like game (yet another)

author: deejayy


value: TechPrimo

value: I created this app because my voice recordings were sitting there unused as a digital mess. AI automatically converts speech into organized tasks, events, and study materials.

value: Show HN: I made another voice recording app, but this one is different

author: TechPrimo


value: Show HN: AI-driven infra platform that builds and manages cloud resources


value: SilasReinagel

value:
Traditional interview prep misses the mark for AI product engineering. After analyzing interview patterns at leading AI companies, I compiled 500+ questions covering the skills that actually matter: prompt engineering, context optimization, RAG systems, agent architectures, AI evaluation, and more.
Each domain has 4 difficulty levels (Novice → Master) with questions based on real production scenarios. For example, instead of theoretical ML questions, you get practical prompts like "Design a RAG system that maintains context across multi-turn conversations" or "How would you implement A/B testing for different prompt variations?"
Built this primarily for my own interview prep and as I coach companies for how to effectively utilize AI in their organizations, but hoping it helps others navigating this rapidly evolving field.

value: Show HN: Comprehensive interview questions for AI product engineering roles

author: SilasReinagel


value: I built asyncR for dev teams, especially team leads who struggle with keeping track of their teams' progress accross multiple projects and longer timeframes. It queries diffs from Github, along with any additional files as needed, and then generates a report based on the recent changes. While it is designed mostly for continuous, smaller updates, it can even summarize larger repos if needed, because it splits larger contexts into separate prompts.<p>You will need a Github account to try it out, which I suppose y'all have. Let me know what you think!

value: Show HN: Automatic async updates for software teams, from GitHub activity


value: Hey  at my current job, we are migrating from kubernetes to azure container apps (ACAs). The first thing I noticed, was the lack of a terminal user interface (TUI) for managing azure resources. so that's what I did! Feedback and contributions are welcome!

value: Show HN: Az-TUI, a terminal UI for Azure resources


value: yorkie

value: After absorbing opinions from the previous post, I wrote an article specifically introducing what a Spatial Web Browser Engine is.

value: Show HN: Understanding the Spatial Web Browser Engine

author: yorkie


value: JackFarrell

value:
Hey everyone! I built this because I was tired of manually handling customer support for my web app and couldn't get an AI system to handle requests reliably.
I tried different AI tools to help with support tickets, but when they handled requests incorrectly, it was impossible to determine why, and even harder to figure out what I needed to change to improve the system.
I wanted to break down my logic of how the AI should think through the problem step-by-step, but everything had to be crammed into one prompt. Without the volume of clean training data needed for fine-tuning, I was stuck with prompt engineering guesswork.
What Chainix does: You drag and drop steps into a visual flowchart. Each step gets its own inference instructions, and based on the output, it branches to different next steps. The AI can also pause mid-flow to call your functions or check variables, then continue. This lets you visually map out exactly how you want the AI to think through the problem (like a flowchart).
I built it with flexibility in mind - you can create something as simple as a two-step workflow or build complex custom logic with multiple branches and conditions.
The key: when something goes wrong, you can see exactly which step failed. Instead of one big black box, you have a chain of smaller, debuggable pieces. My support flow might classify the ticket, look up account info, check for known issues, then craft a response. When the AI did something wrong, I could see "oh, this step classified the ticket incorrectly" and just fix that inference step (or add a new one).
It's handling ~60% of my support requests reliably now (and correctly ignoring the rest), so I'm very happy with it! The biggest win is that I can actually see how the AI is reasoning through each step, so fixing issues is straightforward instead of guesswork.
This works for any workflow involving text interpretation and action - content moderation, document processing, lead qualification, etc.
You can try it at https://www.chainix.ai - would love to hear if other people have hit this same wall with AI tools! Also curious what other workflows people might want to build with this approach.

value: Show HN: I built a visual AI workflow builder because debugging prompts is hard

author: JackFarrell


value:
Hi everyone!
This is just me scratching my own itch, but since every time I build an app or a website I spend hours wondering how to make it not invisible to the world, I thought I'd build an SEO app that perfectly fits my needs.
Most SEO tools are designed for agencies and copywriters, the usual pricing is simply too high for me, and there are just too many features that I don't need. I haven't found one that can crawl my local web server and that synergizes with my AI tools, so I made it myself.
What I need is an app that tells me how to make my pages fully optimized, on what keywords to focus the content I write, and how my competitors are ranking so well so that I can do better.
I've worked for an SEO tooling company for 2.5 years, so I built the tool using that knowledge, and made the localhost auditing free to use, I hope it can help others too.
Feel free to hit me with any feedback, I would truely appreciate it!

value: Show HN: I built an SEO tool for the terminal


value: do-me

value: Show HN: SemanticFileFinder, a fast file finder in Rust using static embeddings

author: do-me


value: AndrewEdelman

value:
AI that actually controls your Windows/Mac desktop - clicks, types, automates workflows across any application. Native OS integration, not cloud APIs.
Built this because I was tired of AI that could only chat. Free tier (Gemini) + paid tier (Claude) for reliable automation.
The AI can automate complex workflows, manage files/emails, control browsers and native apps. Just launched 2 weeks ago.
What workflows would you want automated?

value: Show HN: AI that controls your desktop natively

author: AndrewEdelman


value: Cod-e-Codes

value:
We built marchat as a lightweight, terminal-native group chat app in Go with Bubble Tea for the TUI. It runs a full server in ~6MB RAM (idle ~4-5MB, low CPU), making it perfect for self-hosting on VPS, Raspberry Pi, Unraid (template in progress), or even mobile via Termux on Android (client ~30-45MB RSS, ~5% CPU, minimal battery drain).
Key features:
- Real-time WebSocket messaging with optional E2E encryption (X25519/ChaCha20-Poly1305)
- File sharing (up to 1MB) with commands like :sendfile/:savefile
- Plugin ecosystem: TUI store for browsing/installing (WIP), SDK for custom plugins (e.g., echo — more to come), subprocess isolation for security, and Ed25519 licensing
- Themes (e.g., patriot, retro, and modern), partial emoji auto-conversion
- Admin tools (:kick, :ban, :cleardb) and message retention (1000 cap, SQLite backend)
- Simple JSON protocol for bots or alternative clients
- Offline-first design, with history loading on connect
Tested in real setups: Docker server in one city, clients via nginx proxy from others—no drops, seamless mobile-to-desktop transfers. Even hosted the server on Android Termux with PC clients connecting flawlessly.
For easy deployment, marchat is also available on Docker Hub: https://hub.docker.com/r/codecodesxyz/marchat
Roadmap includes DB abstraction (PostgreSQL/MySQL support), perf tweaks (WAL mode, indexing, caching), and plugin enhancements (auto-updates, metrics). Featured on selfh.st and mtkblogs—grateful for the early spotlight!
Would love HN feedback on the architecture, plugin system, or use cases (e.g., dev teams, edge/IoT chats). Open to contribs of all kinds including doc clarification/refactor.
GitHub: https://github.com/Cod-e-Codes/marchat
Docker Hub: https://hub.docker.com/r/codecodesxyz/marchat

value: Show HN: Marchat – 6 MB terminal chat with encryption and plugin support

author: Cod-e-Codes


value: tbreschi

value:
As a product designer working with Cursor, I constantly have to move back and forth between the browser and my development environment to describe edits I want to make on the back end.
Initially, this meant describing the changes I wanted in plain text — until I discovered that taking screenshots with annotations (pink boxes, arrows, etc.) seemed to provide better results.
This was a boon at the time, I could bend Cursor to my will if I gave it enough visual context! But, the process felt tedious.
What if I could just click on the interface itself, leave a comment or instruction, and send that directly to Cursor or my local tools?
I built Drawbridge to test this idea, and make my workflow more efficient. Checkout the github and let me know what you think. Thanks!

value: Show HN: Drawbridge – "Figma Comments" for Cursor

author: tbreschi


value: labarilem

value:
I'm building a manually curated catalog of games made by the HN community.
I'v found several small gems while browsing HN, and it would've been quite difficult to find those games otherwise. So I've started a personal quest to collect those games into a public catalog with open source code and open data (everything is available on GitHub: https://github.com/labarilem/hn-games).
Currently the collection has data up to the end of 2022. The plan, of course, is to gather all data up to today and then keep updating the collection.
I've published this early version of the catalog to gather some insights and feedback if possible. Especially about UI/UX, which has been mostly LLM-coded to speed things up (I'm not an expert in those domains).
You can browse the catalog at these addresses:
- https://hackernews.games/
- https://hn-games.marcolabarile.me/
Please let me know what you think about the project!

value: Show HN: HackerNewsGames [Alpha]

author: labarilem

title: Show HN: HackerNewsGames [Alpha]


value: joshbuddy

value: My brother and I decided to make a word game. We wanted something fun that could be generated on a daily basis but with the amount of challenge it takes to finish a cup of coffee.<p>Looking for any feedback or thoughts, and please enjoy!

value: Show HN: Unzip – Daily Word Game

author: joshbuddy

title: Show HN: Unzip – Daily Word Game


value: shilohm

value:
Hi all!
I’m Shiloh, a 17-year-old founder building NoCV - a new job platform designed to make it much easier for students and young people to find part-time and flexible work.
NoCV removes the usual hurdles like complicated applications and CVs. Instead, users create a simple skills-first profile, then swipe through local part-time jobs that fit their availability and preferences. Employers can connect directly with candidates without the typical paperwork, making hiring faster and fairer.
Why NoCV?
16–25-year-olds often struggle with traditional job applications because they lack formal experience or CVs.
Many jobs require rigid application processes that discourage young workers or those seeking flexible gigs.
Our app provides a straightforward way to match skills to jobs and get hired quickly.
I built NoCV to help people like me - students and young people facing challenges in finding flexible, part-time work.
We're planning to launch around Christmas 2025 and currently building the waitlist.
Would love to hear any feedback, questions, or suggestions from the community!
Check it out and join the waitlist here: https://nocv.uk
Thanks for your time!
- Shiloh

value: Show HN: NoCV – a job platform helping students find part-time work without CVS

author: shilohm


value:
Hi everyone,
I've made an open-source library for using design by contract (DbC) principles in the Zig programming language.
It's called Zig-DbC, and it currently provides the following features:
- A simple API to define preconditions, postconditions, and invariants.
- Contracts are active in `Debug`, `ReleaseSafe`, and `ReleaseSmall` modes to catch bugs early.
- All checks are removed at compile time in `ReleaseFast` mode for zero performance cost.
- An optional mode to handle partial state changes in functions that return errors.
- Transparent error handling that propagates errors from your code to the caller.
Project's GitHub repo: https://github.com/habedi/zig-dbc

value: Show HN: Zig-DbC – A design by contract library for Zig


value: donadev

value: Show HN: I always struggled with journaling, so I built a voice journaling app

author: donadev


value: forgetbook

value:
I'm in compliance with CraigsList's robots.txt, I promise!  (They specifically disallow posting and replying, which makes sense.  I'm just reading the pages and saving to SQL)
Hi HN, I made an MLS (multiple listing service) for used cars by scraping craigslist and rechecking posts to save the update when they're removed by the seller, flagged as a scam, or expire, which CL conviently labels right there in HTML.
You can try out queries for your make/model/range of years with the form in the sidebar using the passcode 'fuckKBB', and read some more details about what I'm showing you in 'about'
Is it appropriate to advertise myself for hire here?

value: Show HN: An MLS for the Automotive sector (used cars)

author: forgetbook


value: JacoGoGlobal

value:
My team and I built Guardian Protocol, an open-source framework (currently under active development) for improving the security and operational controls of Ethereum smart contracts.
The problem:
Many dApps still rely on single-key ownership and lack safeguards like multi-step approvals, transaction delays, recovery mechanisms, or on-chain incident handling. This leaves them vulnerable to compromised keys, rushed or unauthorized actions, and operational mistakes.
Our approach:
Guardian Protocol has two main parts:
Guardian Library – modular primitives for smart contract security:
Role-Based Access Control (RBAC)
Customizable workflows (multi-step approvals, time delays, meta-transactions)
Payment
Secure Access Layer – protective features for deployed contracts:
Ownership management with transfer safeguards
Recovery mechanisms
Dedicated roles for secure transaction broadcasting
On-chain incident response workflows
Examples / testbed:
We’ve also built Sandblox, an open-source sandbox with example dApps deployed to testnet to showcase the protocol in action:
Simple Vault – deposit/withdraw flows with time-lock controls
Simple Token – ERC20 token with permissioned mint/burn workflows
Links:
GitHub (Guardian Protocol): https://github.com/PracticalParticle/Guardian
Sandblox: https://sandblox.app/
Website: https://particlecs.com/
Looking for feedback
This is an ongoing project, so your suggestions now can directly shape where it goes. I’d appreciate input from both developers and security‑focused users on the on‑chain design:
Does the architecture make sense for your use cases?
Is the Secure Access Layer something you would integrate into your own contracts or workflows?
Would different primitives or workflows make it more relevant to your projects?
Any suggestions, critiques, or feature ideas are very welcome.
Jacob

value: Show HN: Guardian Protocol – Open-Source Ethereum Security Framework

author: JacoGoGlobal


value: ahonn

value: Show HN: PageIndex OCR – The First Long-Context OCR Model

author: ahonn


value: You just write the agent you need for any agentic framework e.g. "write research writing agent in Agno/ write summarizer agent in llamaindex" and then it will create agent and automatically deploy locally the agent and give you an agent testing page. Failed with previous GPT models and claude is expensive. Insanely stable with gpt-5-mini

value: Show HN: I built a vibe agent builder with deployment (GPT-5-mini powered)


value: Show HN: Surkl – node-based file browser for the desktop


value: Looksmaxxer

value: Struggling to stick to goals? I built [Contracted.pw](http://www.contracted.pw)—a commitment contract app to force accountability. Set a goal (quit smoking, exercise, etc.), deposit money, and lose 5% every time you fail. Check in daily to keep your cash. No subscriptions, refund anytime. It’s brutal, but it works. Try it and lock in.

value: Show HN: Put a Contract on Your Goals

author: Looksmaxxer

title: Show HN: Put a Contract on Your Goals


value: agambon

value:
Hey all,
I made a daily logic puzzle as a passion project, and I'd love for you to test it.
If you are interested, read on for a bit of a devlog and backstory.
I have always been obsessed with logical deduction puzzles. These are my actual logic puzzle books from when I was 10 years old: https://i.imgur.com/h1HULLk.png
I would spend hours doing these puzzles, and it's been on my backlog for a long time to make something that captures that feeling again.
This particular kind of grid-based logic puzzle is sometimes referred to as "Einstein's Riddle" or "a zebra puzzle". There are other online implementations of these puzzles but I personally either disliked the UX or disliked the format of the clues. For Griddle I opted for a more abstracted format, using emoji-style SVGs. So, if the categories are 'job' and 'pet', a simple clue like [Astronaut is Dog] would mean that The job 'Astronaut' has a one-to-one relationship with 'Dog' from the pet category.
Getting it to play nicely on mobile was a tricky beast, because the standard format of this kind of puzzle is a choppy grid that is as wide as it is tall, wherein every category is shown to have a relation to every other category. To solve this, I added two UX options: 'full view' and 'simple view'. In simple view, your categorical relations are presented as discrete square grids in a single column. This is very nice on mobile, but lacks the visual link that cues you into make transitive conclusions. If you opt for full view, you have to scroll left and right, but you get the full visual context of how things relate to each other transitively. The column and row headers are 'sticky' and will follow you so you don't forget the context of the cell you're looking at.
My favorite part of developing this was figuring out the logic for generating interesting, solvable puzzles with a minimum number of clues. Generating the puzzle solution matrix is easy (and all randomization is done via deterministic/seeded shuffle with the puzzle date as the seed, so re-generations are consistent). Select a number of categories, select a number of items in each, and map them uniquely one-one-one.
I defined a a number of clue types that have their own logic.
equality: A is B
inequality: A is not B
2-category XOR: A is either B or C (B and C are from same category)
and so on and so on.
Then the solver algorithm does all the work.
- generate a candidate clue of each allowed type
- filter out invalid clues
- weight the 'impact' of each clue based on how many cells it would fill
- select one with weighted (and seeded) randomization - but don't exclude clues with weight 0, because sometimes a clue is only useful later!
- iterate through all transitive and deductive logic and all past clues until no more cells are filled
- if not solved, do it again until solved
- randomize clue order
- run the solver AGAIN, this time trimming out any that don't contribute to puzzle progress
There is probably a more efficient and smarter way to do this, but it works.

value: Show HN: Griddle – a daily logical deduction puzzle

author: agambon


value: abhishekpandey

value:
We need a place for having an honest discussion about AI - free from the excessive hype. We will roast the hype, and also learn about AI products in the process.
Why I made this: I believe AI is a transformative technology and is here to stay. But I am also tired of the excessive hype around it. So I made a platform for roasting the hype.
Why not use existing platform like LinkedIn: because LinkedIn is becoming cringe with adverts, self-promotion, and well, if you comment “TELL” below, I will tell you more ;-)
Why not a sub-reddit: there are likely several sub-reddits on AI, but reddit is not for everyone. Plus you may quickly wander in to other areas.
Why not other hundreds of directory style apps which provide AI app discovery: because they are directory style listings, and not designed for fun or roasting.
Looking forward to the HN community's feedback and comments.

value: Show HN: AI Roaster - A feed style app for roasting the AI hype

author: abhishekpandey


value:
I built codecreate.cc, a coding sandbox and Web IDE focused on productivity, efficiency, and customization.
200+ features, each with a ~1-minute video tutorial in our glossary
500+ customization options for layouts, themes, and modules
35+ coding assistance modules, including:
HTML, CSS, JavaScript, and PHP generation tools,
multiple color pickers and measurement tools,
brainstorming and organizational tools
Editors, sessions, and rendering modules,
GUI customization modules
Modules are export-friendly: copy to clipboard, export as HTML, text, PNG, or send data directly to other modules
You can explore the glossary here: https://codecreate.cc
We’ve just launched and are looking for our first beta testers.
I’d love feedback on:
Which modules feel most useful for daily work
Any gaps or missing tools you’d want in a customizable sandbox
Any customization features that were overlooked.
Thanks for taking a look.

value: Show HN: Codecreate.cc– Coding sandbox/Web IDE with 200 features and 500 options


value: AmuXhantini

value: I wanted a new social media to use that's not full of engagement bait and ads. So I built my own. You can share text, photos and videos. See a feed with people you follow. no likes and no explore page.

value: Show HN: Peer. – I wanted a new social media, so I built my own

author: AmuXhantini


value: justacoolname

value:
I built VerbatimRAG to solve a specific problem: RAG systems that retrieve the right documents but then paraphrase incorrectly, introducing factual errors (hallucinations).
Instead of letting an LLM generate responses based on retrieved context, VerbatimRAG extracts and returns exact text spans from source documents. Every word in the output exists verbatim in your documents.
Technical approach:
- Fine-tuned ModernBERT on RAGBench dataset for span classification (relevant/not relevant)
- Documents chunked with Docling/Chonkie and indexed with SPLADE for sparse retrieval
- Query-time: retrieve → classify spans → compose response from exact quotes using dynamic templates
- Each span includes citation back to source document
Trade-offs:
- Responses can be choppy since they're composed of exact quotes
- No summarization or synthesis across documents
- Works poorly for conversational/creative tasks
An interesting part: You can run the entire pipeline without any LLM - just embeddings + our ModernBERT extractor. With SPLADE embeddings, it runs entirely on CPU.
- Code: https://github.com/KRLabsOrg/verbatim-rag (MIT)
- Paper: https://aclanthology.org/2025.bionlp-share.8.pdf
- HuggingFace model: https://huggingface.co/KRLabsOrg/verbatim-rag-modern-bert-v1
We can imagine this approach more in applications where accuracy matters more than fluency (e.g. compliant heavy domains).
Curious if others have tried similar "constrained generation" approaches.

value: Show HN: VerbatimRAG – RAG that returns only exact text from documents

author: justacoolname


value: julijabain

value:
Hey HN, I’m Julia, my team and I are building Rag-in-a-Box (https://www.joinable.ai/rag-in-a-box), hosted RAG service that let’s builders of any skill level launch their own RAG app loaded with their own data in minutes.
[ What can you do ]
1. Load your documents (PDFs, CSV, PPTs, Word Docs, etc) and make them searchable instantly. All your data stays private and encrypted.
2. Choose latest open source LLM (Llama 4, Deepseek, GPT-oss, etc) to interact with your docs
3. Access your hosted RAG via API - build your own custom front end or integrate with your existing product / service.
[ Why we built it ]
1. I love Notebook LM, but it has limitations:
- you stuck with using Gemini models
- no API - I wanted to integrate my notebook with my other apps but couldn't
2. Prior to this my teammate Brian was Head of AI at a public software company, teams across the organization constantly asked him to build various RAG apps for internal use (searching marketing docs, pulling financial information, etc)
But these projects weren’t a company priority, required lots of resources, therefore moved slowly through approvals... and were scrapped at the end.
This is why we decided to build RAG-in-a-Box to make it easy for anyone build their own RAG app.
[ How does it work ]
1. Create a Data Collection (“folder”) this will become your mini RAG application
2. Dump your data
3. Click Launch - your RAG is ready to Go
4. Use Joinable dashboard to start interacting with your RAG app or
5. Connect to your RAG App via API - add data, delete docs, generate markdown responses, pick LLM models, etc all available through API
Optional - embed your RAG App into your existing application or build custom front end or even a mobile app
Here are some quick tutorials to get started: https://joinable.gitbook.io/joinable-api-docs
We’ve just launched and would love you to try it and hear your feedback!

value: Show HN: Joinable's RAG-in-a-Box – fastest way to build a RAG App for your data

author: julijabain


value: VAC-AGI

value:
*Demo:* [Available under NDA - email for private access]
*Contact:* viktoradamcore@pm.me
---
## What I built
After years of frustration with AI that forgets everything between conversations, I created *VAC* - an AI system with permanent, hierarchical memory that actually learns from every interaction.
Unlike ChatGPT or Claude that reset after each session, VAC builds a growing knowledge base from every conversation, success, and failure. Think of it as hiring an AI colleague who:
- Remembers every project you've worked on together
- Learns from past mistakes and won't repeat them
- Gets smarter with each interaction
- Runs completely offline (zero data leakage)
## The core innovation
*Patent-protected architecture* that combines:
- *Permanent episodic memory* - stores every interaction with context
- *Hierarchical knowledge organization* - like human long-term memory
- *Self-reflection engine* - learns from failures and improves strategies
- *Contextual recall* - finds relevant past experiences for new problems
## Why this matters
Current AI has amnesia. Every conversation starts from zero. Enterprises pay millions for AI that can't learn from their specific use cases or retain institutional knowledge.
*Example:* A doctor using VAC for patient analysis. Over months, VAC learns the doctor's diagnostic patterns, remembers similar cases, and suggests increasingly relevant insights. Traditional AI? Same generic responses every time.
## Technical approach
- *Memory layer:* FAISS + SQLite for hierarchical experience storage
- *Learning engine:* Custom algorithms for experience replay and strategy evolution
- *Privacy-first:* Completely offline operation, no cloud dependencies
- *Modular design:* Can integrate with existing LLMs or run standalone
## Early validation
*USPTO patent granted* (filed July 2025)
 *Working prototype* with web interface
 *Enterprise interest* from healthcare and finance sectors
 *Technical validation* across multiple use cases
## What's next
Looking for:
- *Technical feedback* from the HN community
- *Enterprise pilots* in healthcare, finance, legal
- *Strategic partnerships* with organizations needing persistent AI memory
- *Investment conversations* for scaling the technology
---
## Why I'm sharing this
The AI industry is moving toward more capable systems, but memory persistence remains unsolved. I believe this is a fundamental building block for AGI - AI that truly learns and evolves like a human colleague.
*Note:* Core architecture is patent-protected. Happy to discuss technical approaches and potential applications under appropriate agreements.
*Questions, feedback, and collaboration opportunities welcome.*
---
Building the first AI that actually remembers you.

value: Show HN: I built an AI that remembers everything and learns from mistakes

author: VAC-AGI


value:
I built Coordinize as an open-source, async-first communication platform for distributed teams.
Most tools (Slack, Discord) are built for real-time chat. That creates pressure to stay online and reply instantly, which doesn’t work for global teams across timezones.
Coordinize focuses on async-first workflows, so communication happens without notification chaos.
GitHub: https://github.com/RajdeepDs/coordinize
Try it: https://www.coordinize.tech
This is our v1. Feedback welcome!

value: Show HN: Coordinize – Open-source async-first communication for global teams


value: pompeii

value: built a blackjack game for iOS. smooth gestures. clean ui. you can verify every shuffle — no rigged decks.

value: Show HN: Blackjack App with a Provably Fair System

author: pompeii


value: wilsonzlin

value: Show HN: Building a web search engine from scratch with 3B neural embeddings

author: wilsonzlin


value: trolleycrash

value: An example Swift/SwiftUI app showing how to build voice-controlled navigation on iOS with SwitchboardSDK. A great starting point for hands-free or accessibility-focused apps.

value: Show HN: Voice-Controlled iOS Navigation Example

author: trolleycrash


value: destel

value: Show HN: A daily challenge where the lowest unique number wins

author: destel


value:
Hey ya’ll, Ishaan and Kartik here. We're building Omnara (https://omnara.com/), an “agent command center” that lets you launch and control Claude Code from anywhere: terminal, web, or mobile — and easily switch between them.
Run 'pip install omnara && omnara', and you'll have a regular Claude Code session. But you can continue that same session from our web dashboard (https://omnara.com/) or mobile app (https://apps.apple.com/us/app/omnara-ai-command-center/id674...).
Check out a demo here: https://www.loom.com/share/03d30efcf8e44035af03cbfebf840c73.
Before Omnara, we felt stuck watching Claude Code think and write code, waiting 5-10 minutes just to provide input when needed. Now with Omnara, I can start a Claude Code session and if I need to leave my laptop, I can respond from my phone anywhere. Some places I've coded from include my bed, on a walk, in an Uber, while doing laundry, and even on the toilet.
There are many new Claude Code wrappers (e.g., Crystal, Conductor), but none keep the native Claude Code terminal experience while allowing interaction outside the terminal, especially on mobile. On the other hand, tools like Vibetunnel or Termius replicate the terminal experience but lack push notifications, clean UIs for answering questions or viewing git diffs, and easy setup.
We wanted our integration to fully mirror the native Claude Code experience, including terminal output, permissions, notifications, and mode switching. The Claude Code SDK and hooks don't support all of this, so we made a CLI wrapper that parses the session file at ~/.claude/projects and the terminal output to capture user and agent messages. We send these messages to our platform, where they're displayed in the web and mobile apps in real time via SSE. Our CLI wrapper monitors for input from both the Omnara platform and the Claude Code CLI, continuing execution when the user responds from either location. Our entire backend is open source: https://github.com/omnara-ai/omnara.
Omnara isn't just for Claude Code. It's a general framework for any AI agent to send messages and push notifications to humans when they need input. For example, I've been using it as a human-in-the-loop node in n8n workflows for replying to emails. But every Claude Code user we show it to gets excited about that application specifically so that’s why we’re launching that first :)
Omnara is free for up to 10 agent sessions per month, then $9/month for unlimited sessions. Looking forward to your feedback and hearing your thoughts and comments!

value: Show HN: Omnara – Run Claude Code from anywhere


value: bubblebobble

value:
Hey there, I'm a solo dev behind KewlTools.
So I'm one of those people who like to build their own tools/utilities whenever they
a) want to get something done, or b) want to learn something.  c) don't want to spend ages finding a utilty and going through walls of ads.
I gradually built 66 tools, all free, fast, ad-free, and zero login.
I (and my family/friends) use these daily, so thought some of you will find it useful!
Any suggestions, improving current tools or adding new ones, please let me know.

value: Show HN: Created 60 free useful tools in one place

author: bubblebobble


value: ericinseattle

value:
We built Humanmark to provide cryptographic proof that a request came from a human. It uses the secure hardware in smartphones to create attestations of user presence.
Note on trying it: The demo requires installing our free app from the App Store or Play Store.
Backstory: We were toying around with building an online service that was human-only and saw that existing off-the-shelf verification methods can't enforce this to any reasonable degree. CAPTCHAs are easily solved by automation, AI can trick behavioral analysis, and agents self-identify as human. The existing tools are OK at preventing bad bots from bringing down your service, but not so much at differentiating between good bots and humans. We prototyped a hardware-based approach and thought it could be widely useful, especially now that the required hardware is ubiquitous.
How the flow works:
1. Your backend creates a challenge with our API
2. Your frontend loads our SDK with that challenge
3. SDK shows a QR code on desktop or button on mobile
4. User scans the QR or taps the button to open our app
5. User authenticates with fingerprint/face/passcode
6. App generates hardware-attested proof of user presence
7. Our backend processes and verifies the proof, forwards a verification receipt to the SDK
8. SDK returns the receipt to your frontend
9. Your frontend uses the receipt to authorize the action however makes sense
There are no user accounts and zero persistence of user data (sensitive or not) across verifications.
So far we've built our rust backend, native iOS/Android apps, TypeScript/JavaScript SDK, user- and dev-facing websites, and a Discourse plugin for quick integration.
Limitations:
- Requires a smartphone
- Users must install our app to verify (the main friction point)
- Robots that can physically operate smartphones could pass
- Not an authN/identity product; focused on what users are, not who they are
We see this complementing existing verification methods. Services might use CAPTCHA or Turnstile broadly and add Humanmark for specific high-value actions. Or they could use it everywhere if their users accept the app installation requirement.
Looking for feedback on security considerations we haven't accounted for, integration patterns that would work better for your stack, use cases or industries where this could make an impact today. Happy to discuss and receive any feedback.

value: Show HN: Humanmark verifies your users are human using hardware attestation

author: ericinseattle


value: theykk

value:
Hi all,
For the past few months I been developing a react native specific observability tool.
You can see network requests, user journey and more. It helps you find the "slow-burning" issues.
The setup is pretty quick and we have very generous free tier, give it a try.

value: Show HN: Mobore – React Native observability tool

author: theykk


value: itsnebulalol

value:
Hello HN! Recently, we have released Nocturne 3.0.0, which is a complete replacement for the (now unusable) Spotify Car Thing stock firmware. We're proud to eliminate more e-waste in the world.
# Changes from v2
- Bluetooth tethering for car use (no more Raspberry Pi in the car)
- Full graphics acceleration
- Native Spotify login (no more client ID/secret)
- Start DJ from the Car Thing
- Podcast support
- Gesture control
- New settings
- Boot to Now Playing
- Spotify Connect device switcher
- Support for Japanese, Simplified Chinese, Traditional Chinese, Korean, Arabic, Devanagari, Hebrew, Bengali, Tamil, Thai, Cyrillic, Vietnamese, and Greek
- Full knob control support
- Local file support
- Preset button support
- Status bar on home (shows time & Bluetooth/Wi-Fi)
- Auto brightness
- Hold settings button for power menu
- Lock screen showing time full screen (press settings button)
- DJ preset binding (hold preset button while DJ is playing in Now Playing)
- Spotify mixes in Radio tab (Discover Weekly, daily mixes, etc.)
- OTA updates
- + MUCH more (this is just the important stuff!)
# Flashing
A guide to flashing Nocturne 3.0.0 is in the README. Bluetooth will work out of the box, or choose an alternative in the Setting up Network section. Hotspot capability from your phone and plan are required for Bluetooth.
# Notes
This wouldn’t be possible without our donors and the rest of the Nocturne Team. We hope you’ll enjoy it, as we've spent thousands of hours working on it!
Consider buying the team a coffee if you can  https://usenocturne.com/support
https://github.com/usenocturne/nocturne/releases/tag/v3.0.0

value: Show HN: Nocturne – Your Car Thing's Second Chapter

author: itsnebulalol


value: A motion-graphic comparison website in the vein of LMArena. The videos are rendered via Remotion.<p>We hope that AI will be used in interesting ways to help with video production, so we wanted to give some of the models available today a shot at some basic graphics.

value: Show HN: I built LMArena for Motion Graphics


value: agambrahma

value:
I built a browser-based REPL for Coalton, a statically typed Lisp dialect that merges Haskell’s type system with Common Lisp.
Coalton gives you:
- Algebraic data types, pattern matching, static guarantees
- Full interoperability with dynamic Lisp functions
Demo & examples: https://coalton.app
Under the hood: Prebuilt SBCL cores with Coalton preloaded, running on a droplet

value: Show HN: Coalton Playground – Type-Safe Lisp in the Browser

author: agambrahma


value:
Hi all, We're building Orchestrator, a browser-as-a-service designed for AI agents and workflows.
What it does:
Orchestrator lets you create browser sessions that you can connect over Chrome DevTools Protocol (CDP) or through VNC. We also offer residential proxies as optional add-on for sessions.
Why we built it:
There’s huge potential for browser-based agents to handle repetitive tasks both in personal workflows and in work environments and existing tools like Browserbase were solid but running these agents at scale requires an infrastructure layer that can keep costs affordable, spin up browsers quickly and handle high concurrency.
Why it’s worth trying:
- Free tier: 20 hours of browser usage, no credit card required.
- Transparent pricing: $10 for 100 hours (Browserbase charges $20 for the same) and $39 for 500 hours (Browserbase charges $99).
- Direct control: Connect over CDP or view via VNC without restrictions.
- Add-ons: Residential proxies.
What’s missing right now:
Session recording, console-log capture and stealth mode are in development and will be added soon.
We’d love to hear your thoughts on the developer experience and where the tooling feels rough. Feedback on what’s missing or what could be improved would be especially valuable.

value: Show HN: Orchestrator – browser-as-a-service platform for AI agents


value: riddleling

value:
Built an iOS app that runs a local OCR server using Apple's Vision Framework.
Creates a REST API endpoint accessible from any device on your network. No cloud services needed - everything processes locally on the phone.
Available on App Store (searching "OCR Server").
Would appreciate feedback on the architecture or similar mobile-as-server projects you've seen.

value: Show HN: Turn your iPhone into a local OCR server using Vision Framework

author: riddleling


value: jntucehyd

value: Show HN: I found ChatGPT underwhelming for serious work. So I built Mnemosphere

author: jntucehyd


value: Show HN: Minimal Claude-Powered Bookmark Manager


value: mmajzoobi

value:
Raspberry Pi only exposes HDMI display ports.
That means every time I want to connect a monitor to the Pi I have to power my monitor using a separate power adapter.
I use portable monitors a lot and wished I could just use one USB-C cable to both power the monitor and send video signals.
One of my portable displays also has touch support which works when I connect it to my Macbook.
I wanted to also get touch display working with a single USB-C cable setup. This would allow me to put my Home Assistant dashboard on it and control everything with touch.
So I embarked on a prototyping journey and got this setup working.
I am designing a compact adapter board that will add this capability to Raspberry Pi 4 and 5.
I am documenting my design and prototyping journey on my blog and Youtube. This design will be open source with KiCAD files published.

value: Show HN: Raspberry Pi with portable touch monitor with a single USB-C cable

author: mmajzoobi


value: houdinimind

value:
Help Needed! What should I do to promote this AI Travel Planner app? Without any coding experience, I spent 3 days vibe coding to build this travel planner app. But several months later, there are no downloads at all. I have a couple of issues that can’t be solved by vibe coding.
Main features:
1. Plan ahead: Users can create multiple trips and save the places they want to visit. They can also see the places on the map.
2. Place details: Users can access local weather forecasts, ETAs between places, place details, website, directions, phone numbers, and info. They can also use AI to ask for more info about any specific place.
3. AI planner: Users can choose a city and visit dates, then AI will create an itinerary based on their preferences or a travel guide page. Also, they can upload their flight tickets and reservation images, and then AI will add them to the itinerary accordingly. In short, users can just create a one-week itinerary in one minute, and AI will introduce each place.
Main Issues:
Positioning Issue:
Too many competitors: I have to admit it’s not an amazing idea that no one has ever thought about. There are so many apps that do the same thing. I do want to get into a niche market rather than compete with those big apps, but I have no clue.
What are some niche markets in the travel industry I can explore?
Product Issue:
There was no survey, and I just built this app based on what I need when I travel. I found it’s difficult to do the research before going to a new city. I need to decide if I should walk or take Uber between places based on the distance and ETAs. Need to know more info about a place, and prepare based on the weather.
Maybe people have different ways to plan their trips? Or they don’t need all this info when they travel. How do you plan your trip? What travel info do you usually need when you travel?
Promotion issues:
I’ve tried app store ads and social media, but increasing the budget on cost per tap didn’t generate any taps or downloads.
Should I target some less competitive keywords? Or how should I advertise this app?
Tech issues:
To keep the app secure, I just followed the suggestions by ChatGPT. The backend is based on Google services. Firebase Authentication, Firestore, AppCheck. Google Cloud Secret Manager to save OpenAI KPI key, Cloud Function to run OpenAI request, and API Gateway in the code. I heard many people without any coding experience accidentally exposed their API keys. I’m not sure if this is safe enough.
Should I improve anything?
Please let me know what I can do to solve these issues and promote this app. Thank you so much!

value: Show HN: AI-Powered Trip Planner

author: houdinimind

title: Show HN: AI-Powered Trip Planner


value: ShadowUnknown

value: Free QR Code Generator with custom colors, logos, and sizes. No sign-ups. No watermarks. Just click, customize, and download.

value: Show HN: Free QR Code Generator – Logos, Colors, No Watermark

author: ShadowUnknown


value: switz

value: Show HN: Variable Font Debugger

author: switz

title: Show HN: Variable Font Debugger


value: kptbarbarossa

value:
Hi HN,
We built [Shhhh Pricing] because we noticed B2B store owners needs price hider for Shopify merchants.
Here’s what it does:
- Hide Prices for Visitors (Non-Logged-In Users)
- Perfect for: B2B stores requiring customer accounts, Build your email marketing.
- It prevents the “Add to Cart” action by hiding it for guests.
You can try it here: https://apps.shopify.com/shhhh-pricing (Free trial available)
We’d love your feedback, especially on:
- Usability for first-time setup
- Any missing features that would make it more useful
Thanks for reading!

value: Show HN: Shhhh Pricing – Price Hider for Non-Logged-In Users

author: kptbarbarossa


value: Now working on building pyspark pipeline

value: Show HN: Mistral-7B training using pyspark,DeepSpeed


value:
I built AI Trust Proof — an experiment in recording human good faith on-chain so it can be independently verified by people, software, or (eventually) AI systems.
What it does (today)
    - Lets you sign a plain-English pledge and record its signature hash + metadata on Solana (devnet).
    - Mints a symbolic NFT badge pointing to that record.
    - Creates a verification page that shows the pledge, signature, and on-chain proof.
What it’s not
    - No token, no airdrops, no yield.
    - Not a reputation score or KYC.
    - Currently just one signal: "Pledge signed."
Why
    - If AI systems begin prioritizing who to listen to, work with, or grant access to, they’ll need auditable, tamper-evident signals that aren’t just money or popularity. This is an early test of whether that’s possible — and what could go wrong.
Next steps
    - Add revocation and pledge updates.
    - Allow peer/programmatic attestations.
    - Explore privacy-preserving proofs for sensitive context.
    - Define machine-readable policies so AI can consume signals consistently.
    - Fully immutable storage
Link
- https://www.aitrustproof.com

value: Show HN: AI Trust Proof – Help AI Trust You with Blockchain-Verifiable Signals


value:
Hey HN, Jay here. I am building Indilingo, an AI app for learning and promoting Indian languages and culture.
Indilingo supports 22 official Indian languages including Sanskrit, Hindi, Marathi, English, Kannada, Tamil and more.
What makes Indilingo different?
- Indilingo allows the users to learn any language from any language. You can learn Sanskrit from Kannada, Kannada from Punjabi, and even Punjabi from Bengali.
- Indilingo focuses on conversations to make users fluent in their desired language. Users can speak with an AI in real time and get personalized feedback.
- Indilingo also offers users the ability to customize their lessons according to their needs, access personalized quizzes and even see detailed analytics.
You can try the app at https://www.indilingo.in/download
There is also a Pre-Sale going on for early users at https://store.dodopayments.com/indilingo where all PRO plans can be bought at a 50% discount.
Would love to hear your thoughts regarding Indilingo. Thanks!

value: Show HN: AI app for learning Sanskrit, English, Hindi, Kannada and more