value: probablyrobert

value: Show HN: Glide, an extensible, keyboard-focused web browser

author: probablyrobert


value: qflop

value:
Try it for yourself here: https://edugen.fly.dev/
Access the demo here: https://edugen.fly.dev/s/j6hw2r5t2w
Let me know what yall think, feedback is appreciated :)

value: Show HN: AI powered text editor with commands that let you create anything [video]

author: qflop


value:
Hi folks,
Attempting a new GitOps focused Open Source tool after Featurevisor (https://featurevisor.com), and this time about analytics events.
To highly summarize, Eventvisor is:
- A centralized governance tool for your analytics events
- Remotely controlling how tracked events flow from your apps
- Including filtering, transforming, and sampling them
- Without having to redeploy your apps
- Integrating with multiple first or third-party analytics services
The bigger your product engineering org is, the more likely you will appreciate the workflow it establishes. Depending on where you sit in the hierarchy, the benefits are:
- Product Managers having clarity and influence over analytics events
- Engineering teams made accountable if they are tracking wrong data
- Engineering managers having clear ownership and boundary
- Principal/Staff engineers debugging cross-team apps without redeploying
- Marketing team’s requirements brought into same workflow (think pixels)
- VPs positioning strategically to migrate to/from vendors with ease
- CTOs pushing for ingestion cost savings via filtering and sampling
- Execs having reports they can rely on from Data teams
- Data & analytics teams recovering their receding hairlines (!)
It's very early now, and my focus was just to express the idea I had in my mind as a working solution end to end. It will evolve and get better by the time it reaches v1.0 stable. No ETA for that yet.
Looking forward to hearing your feedback, and use cases where you think it might be useful. Thanks!

value: Show HN: Eventvisor – govern, transform, filter tracked events via remote config


value: wordart is a fun script I created that takes a word and year and creates commits on the right dates so your GitHub commit activity chart shows the word: e.g: Haskell

value: Show HN: Paint any word on your GitHub Commit Activity Chart


value: kanodiaayush

value: I feel like LLMs can help me understand anything. However, jumping between ChatGPT, tabs, and docs gets in the way of building real understanding beyond isolated summaries and questions. This is my attempt at fixing that — for lifelong learners, researchers, professionals and students.<p>Would love your thoughts on the interface, and whether this would be useful in your own work or otherwise.

value: Show HN: A visual AI interface for deep research/deep dives

author: kanodiaayush


value: Show HN: An AI-powered software directory


value: benbridle

value:
Hey everyone,
Cobalt is a program for painting textural and expressive pixel-art on Windows, Linux, Nintendo DS, and in-browser. The same 46KB core executable runs on all platforms, with a thin emulator layer sitting on top to handle differences in inputs and filesystem access (which makes it easy to port between systems). It's built on Bedrock[0], an 8-bit virtual computer system I posted about here in July.
I created Cobalt because I wanted to draw messy, gritty pixel art without smooth gradients, and the smaller colour palette helped with making bolder colour choices. Images can be moved back and forth between platforms, so you can copy works-in-progress to the DS to keep working away on the bus or train. It's like a 2004-era vision of the future.
There's a live demo on the linked page that runs in the browser, and there are downloadable demos for every platform here[1]. Let me know if you try it out or have any questions!
[0] https://benbridle.com/bedrock
[1] https://derelict-engineering.itch.io/cobalt

value: Show HN: Cobalt – a pixel-art painting studio for the Nintendo DS

author: benbridle


value: everyseccounts

value:
I subscribe to dozens of newsletters and didn’t want to miss key insights, so I built an AI that reads them all and lets me ask questions about the content. I originally built it for myself, but decided to open it up in case others find it useful.
Forward your newsletters to FomoRobo, and the AI will summarize the important points. Ask it questions like "What are the key facts from my newsletters today?" or "Write a blog post based on today's newsletters."
The tricky part was making email parsing reliable and keeping conversation context across newsletters.
It’s already processing 100+ newsletters a day. Would love feedback, especially on the UX and on what other newsletter-related pain points you would want solved.
https://www.fomorobo.com
Thanks!

value: Show HN: FomoRobo – AI that reads your newsletters so you don't have to

author: everyseccounts


value:
hey everyone,
I've been working on JPDB is a GDB like debugger for waveforms. if you give JPDB a waveform* and some other information, then you can step through the program that was executed when that waveform was created.
i say GDB-like because JPDB has it's own GDB client (its called shucks), that implements the client side logic of the GDB protocol faithfully, but doesnt have all of the GDB niceties (like python integration, etc). this allows the project to be specialized on debugging waveforms specifically, when compared to another approach like connecting to a gdb client
JPDB integrates with the waveform viewer surfer (https://surfer-project.org/), so you can look at other signals there. this is still ongoing because the underlying protocol (WCP) is a little Fresh
if you're developing your own CPU, give it a shot. Superscalar designs arent supported yet but it would be pretty straightforward, just give me your waves ( i am touching my fingers together villainously as i type this) and i will make it happen
also if you want to use system with a "normal" gdb client, the dang library presents a gdbstub server, so you can run that and connect to it.
here's a demo but it should work on your local machine if you follow the readme:
https://www.youtube.com/watch?v=EOo1aG_wcJg

value: Show HN: JPDB, GDB for Your Waveforms

title: Show HN: JPDB, GDB for Your Waveforms


value: Show HN: InfiniteGpu, An open-source AI computational network


value: stanko

value:
Hey HN,
I love using native web elements, but with <dialog> there are a bunch of small quirks and cross browser differences. I decided to make a tiny library (850 bytes gzipped) around the dialog element so solve these.
NanoModal is accessible, has animations and it is easy to customize using CSS. I already started using it on my projects.
Please let me know what you think and if you find any issues with it, thank you!

value: Show HN: NanoModal – a tiny accessible modal library

author: stanko


value: fromwilliam

value: I created a wiki which is intended to be a culinary encyclopedia. The idea came to me when I wanted to know about the culinary properties of rosemary–how it should be used, what culinary heritage it originates from, etc. The Wikipedia page for rosemary is too generic and not tailored towards culinary info. I was surprised that something like CulinaryWiki didn’t already exist.<p>There is basically nothing here yet (except the Rosemary page). I wanted to show HN to see if other cooking enthusiasts wanted to contribute some pages.

value: Show HN: CulinaryWiki, a Wiki for Culinary Knowledge

author: fromwilliam


value: legitcoders

value: Show HN: LLMs Central – Centralized Repository for Llms.txt Files

author: legitcoders


value: radulucut

value: Show HN: A command-line tool to share your commit stats

author: radulucut


value:
I built a tool to help identify programs that are phoning home, normally to check for updates and the like.
It uses a BPF program running in the kernel to monitor traffic which is later analysed in a Java user space program.
You simply setup a WiFi hotspot on a machine that has this installed and allow the devices you want to monitor to connect to it.  Leave it for a while and check for any patterns it has identified.
This project is ready to use as is but I do intend to keep adding to it.  Please let me know if you find something interesting!

value: Show HN: Phone Home Detector

title: Show HN: Phone Home Detector


value: czmilo

value:
Hi HN,
I built SoraApp.org to showcase the best AI-generated videos from models like Sora 2, Veo 3, Genie 2, and Seedream.
The AI video space is moving fast, but it's hard to find and compare quality outputs from different models. This site curates the most impressive videos in one place, organized by model and style.
Check it out at https://soraapp.org/
Would love your feedback!

value: Show HN: Soraapp.org – AI video showcase from Sora, Veo, Genie 2

author: czmilo


value: techyKerala

value: For fun and convenience. I spend a lot of time in the terminal, and generating UUIDs, ULIDs, converting Unix to UTC etc.. directly from the command line is super handy no need to open a clunky browser or search page.<p>Have an idea for a fun DNS service? I'd love to see it! Feel free to contribute any creative utilities you need—just open a PR

value: Show HN: A playful DNS server with useful utilities and services

author: techyKerala


value: jackhyyy

value: Hi HN! I built TransDo, a simple and intuitive translation app. It supports text input, voice input, and photo translation, and also integrates AI chat. I wanted something faster and more minimal than Google Translate, with history and notes included. The iOS version is live now, and an Android version is coming soon. Would love your feedback on UX and feature set! iOS: https://apps.apple.com/us/app/transdo/id6746675000 (Android coming soon)

value: Show HN: TransDo – Translate text, speech, and photos with AI support

author: jackhyyy


value: Antalicia

value: Show HN: Designed for who want personalized portraits without writing prompts

author: Antalicia


value: whatcha

value: I wanted a web based meditation timer that just worked without any unnecessary stuff so I built one. I hope all my meditating friends enjoy

value: Show HN: Simple Meditation Timer

author: whatcha

title: Show HN: Simple Meditation Timer


value: Show HN: AiWanAnimate – A new AI tool to create animated videos


value: vrathee

value: Show HN: JSON formatter for API response debugging

author: vrathee


value: chernishev

value:
Desbordante, an open-source, high-performance data profiler designed to discover and validate complex patterns in data, has released version 2.4.0. This update introduces several key features, including support for validation tasks for four different patterns and a discovery task for graph functional dependencies. Additionally, it includes serialization of the identified patterns and provides Colab notebooks with examples, allowing users to quickly familiarize themselves with the profiler and select the most suitable pattern for their needs.
The detailed release notes are here: https://github.com/Desbordante/desbordante-core/releases/tag...

value: Show HN: A new version of the complex pattern discovery tool is now available

author: chernishev


value: Show HN: Open-source project – HTTP cache and reverse proxy


value: egretfx

value: Dedicated to the brave men and women who gave their lives so we could begin again.

value: Show HN: I made an open-source web engine for relativistic simulations

author: egretfx


value: pekingzcc

value: Make a website to provide sora2 api, might still have some issues

value: Show HN: Sora 2 API

author: pekingzcc

title: Show HN: Sora 2 API


value: juancarlosmaker

value:
Hi HN,
I built Kora - a mobile app where you can have conversations with historical philosophers like Socrates and Marcus Aurelius.
The idea is to make philosophy more interactive and accessible. Instead of only reading quotes, you can ask questions and explore ideas in dialogue. Current features include:
• Text and lifelike voice chats with philosophers
• Daily wisdom notifications + discussion with Marcus Aurelius
• Essay critique (get feedback on your writing from different philosophers)
Stack
• Frontend: Bravo Studio (no-code mobile builder)
• Backend: Xano (APIs, user data)
• AI: OpenAI
• Subscriptions/paywall: RevenueCat
We launched last week on iOS (Android coming soon) and already have early paying subscribers.
I would love feedback from the HN community - on the idea itself, the tech stack, and what you think could make this more valuable. I am especially curious whether you see potential beyond casual curiosity (students, lifelong learners, philosophy lovers).
Happy to answer questions. Thanks for reading!

value: Show HN: Kora – Chat with philosophers in lifelike voice

author: juancarlosmaker


value:
I built Comexp RVS – a browser extension and platform for searching and analyzing video by video. Links:
Extension: https://chromewebstore.google.com/detail/comexp-rvs/dnpncabg...
Widget/API: https://tape.comexp.net/tools
It solves four core video problems:
Find any movie or series: Paste or upload a short clip, get the original full movie/episode, even with noisy footage. No training, just real matching.
Live TV monitoring: Track when and where a story aired across hundreds of live TV channels and archives.
Smart no-repeat viewing: Filter out repeated content in compilations and playlists, so you don’t rewatch duplicate clips.
Video summarization: Watch just the most important parts—auto-summary generation for long videos.
What’s different:
Unlike reverse image search or “AI” clip detectors, Comexp RVS matches dynamic video in real time using our own TAPe technology, not ML or neural nets. It works with millions of videos, runs on a single server, and doesn’t require training sets or GPU clusters.
Why I built it:
Everyone consumes video, but search and analysis tools haven’t caught up. I wanted to solve “what movie is this?”, track TV facts, and let people watch smarter—not just more.
Works now in Chrome. Demo/explanation and source tech docs on the site. Happy to answer questions and discuss tech details.
Thanks for checking it out!

value: Show HN: Comexp RVS–First real-time video-to-video search,TV monitoring and more


value: letmetweakit

value:
Hi HN,
I've made a Chrome extension that only allows a single tab in a browser window in an attempt
to regain my focus when browsing the web and more generally, when sitting behind my computer (which is a lot).
What it does:
-Opening a new tab with the '+' button or keyboard shortcut will not work.
-Opening a link in a new tab will open the link in the current tab instead.
I have tested this on Chrome and Brave.
Writing browser extensions is not my forte, I have made this using Claude Code. It will contain bugs, feel free to submit a PR at https://github.com/MathieuBordere/onetabman
Try it out and let me know what you think!

value: Show HN: OneTabMan

author: letmetweakit

title: Show HN: OneTabMan


value: hirokiyn

value:
I built Epismo because I was tired of leaving meetings thinking: “Wait, who’s actually doing this?” Too often, teams (mine included) lost sight of the goal while tasks got scattered and momentum stalled.
This is my first step as a founder, and I’d love your thoughts.
I just launched on Product Hunt. Would love your thoughts & feedback!
 https://www.producthunt.com/products/epismo

value: Show HN: AI Project Manager

author: hirokiyn

title: Show HN: AI Project Manager


value: legitcoders

value: Show HN: ShowsWatched – Ad-free for TV shows and movies (fast sync, no crashes)


value: volfpeter

value:
It's very early days for the project, but I wanted to share it to see if there is interest.
It is the final piece of the FastAPI server-side rendering stack I started building with FastHX and htmy (the two dependencies of this project besides FastAPI).
Think of it as a more powerful and convenient alternative to tools like FastHTML, powered by FastAPI (without any modifications). I hope you'll like it.

value: Show HN: Next.js-like Python web framework, built for Htmx with FastAPI

author: volfpeter


value: DRYTRIX

value:
Hi HN,
I built *[TimeTracker](https://github.com/DRYTRIX/TimeTracker)*, an open-source, self-hosted time tracking app for freelancers and small teams who want full control of their data.
Most time trackers I tried either:
* lose your running timer if the browser closes, or
* lock you into cloud services.
I wanted something simple, reliable, and offline-friendly — so I built TimeTracker.
### Key Features
* *Persistent timers* (server-side, survive browser closes/reboots)
* *Team support* (multi-user, roles, projects/clients, billing)
* *Reporting & exports* (project/user breakdowns, CSV)
* *Self-hosted* (Docker, Raspberry Pi friendly)
* *Responsive interface* (Flask + HTMX + WebSockets for live updates)
### What’s New in the Latest Release
* Improved reporting and exports
* Cleaner UI/UX, faster navigation
* Optimized performance & stability
* Better Docker configs and documentation
### Try It
```bash
git clone <a href="https://github.com/DRYTRIX/TimeTracker.git" rel="nofollow">https://github.com/DRYTRIX/TimeTracker.git</a>
cd TimeTracker
cp .env.example .env
docker-compose up -d
```
Then visit `http://localhost:8080` and start tracking.
### Who It’s For
* Freelancers who want full control of billable hours
* Small teams who prefer LAN or Pi-based solutions
* Anyone who wants to own their data without SaaS dependency
### What’s Next
Mobile apps, integrations (Zapier, Slack), richer analytics, and internationalization.
I’d love feedback from the HN community — especially around usability, reporting, and team workflows.
Repo: [https://github.com/DRYTRIX/TimeTracker](https://github.com/DRYTRIX/TimeTracker)

value: Show HN: TimeTracker – A self-hosted, time tracker with timers and billing

author: DRYTRIX


value: weyxie

value:
Over the past year, we’ve been frustrated with how clunky it is to manage research papers. So we built Ontosyn, a modern research paper reader, with clean ui, better in paper navigation (bookmarks, jumping back up after clicking on a reference), an integrated ai chat with useful tools such as recommending relevant papers that you can directly add to your library, and, of course, library functionality to keep everything organized.
We launched a closed alpha last week, and our first users are quite pleased with it. One user asked for author-based search for paper recommendations yesterday, and we shipped it within an hour.
Our goal is to make it easy to stay up to date with relevant research and enjoy engaging with it.
We have lots of cool features planned, we’re still very early, and we’d love to iterate with feedback from the HN community.
You can try it at ontosyn.com

value: Show HN: We built a modern research paper reader

author: weyxie


value: lightofshadow

value: I have built this Python script that uses OpenRazer drivers to play a game of Snake on a user's keyboard. I have only tested it on my Razer Ornata Chroma. If anyone tries it on other keyboards, feel free to reach out to report any problems or compatibility issues.

value: Show HN: Play snake on your razer keybard on Linux

author: lightofshadow


value: anjandutta

value:
Hi HN,
I built a spaced repetition system for Leetcode after realizing I'd "solved" 150+ problems but couldn't recall the patterns when faced with new questions in actual interviews.
The problem: Solving problems once creates the illusion of learning without actual retention. Your brain discards solutions as "one-time knowledge" unless you review them at spaced intervals.
What it does:
- Automatically schedules problem reviews (1 day → 3 days → 1 week → 2 weeks → 1 month, etc.)
- Adjusts intervals based on difficulty (easy problems reviewed less frequently)
- Highlights overdue problems that need attention
- Tracks your actual retention with notes/flashcards
Key insight: It's better to master 50 problems through 3-5 reviews each than solve 200 problems once and forget them all.
Demo: https://dsaprep.dev/tracker
I've been using this for couple of months and the difference in pattern recognition is significant. Problems that used to feel "new" now trigger automatic recognition of which approach to use.
Tech stack: React, Node.js, Express, MongoDB
Would love feedback on:
- The revision interval algorithm
- UI/UX for the review workflow
- Pricing strategy
- Whether this scratches an itch for others
Built this as a side project to solve my own problem. Happy to answer questions!

value: Show HN: Spaced Repetition for LeetCode – Stop Forgetting Problems You've Solved

author: anjandutta


value: pipsgame

value:
I’ve been a long-time Sudoku player and recently discovered  NYT game Pips —I tried a few puzzles and got hooked, but online options were limited, so I built this site:
https://www.pipsgamefree.online
Core gameplay works, but I’m stuck on some UI/interaction details that feel off without a clear fix; I’d love feedback on whether onboarding explains the rules within ~30 seconds, whether input feels comfortable on desktop/mobile with minimal mis-taps, whether the visual hierarchy/readability is instantly clear, and whether the “editor” page has well-designed function buttons; please include your device/browser info and the issues you ran into with expected improvements.

value: Show HN: A Pips game website – my first game

author: pipsgame


value: Show HN: Build AI prompts 10x faster with drag-and-drop blocks


value: whatcha

value: Show HN: AI Meal Plan Generator

title: Show HN: AI Meal Plan Generator


value: mythz

value: Show HN: llms.py – Local ChatGPT-Like UI and OpenAI Chat Server

author: mythz


value: adamthehorse

value:
Hey I'm Adam, I built GitSage because I wanted an easy way to browse code and developers I was unfamiliar with.
I had a question about react, and wanted to look into their repo directly, but I wasn't very fluent in JS, and the library is large and complex, how would I know where to start? Or who to ask?
That's why I built GitSage, I wanted to be able to ask an AI Agent about a library or project like React, about its technical details, and that the current development looks like.
It's still in the early stages, with plans to add GitHub MCP servers within the week. The product is entirely free to use. Would love your feedback! Thanks!

value: Show HN: GitSage – Breakdown Developers, Projects and Code, with AI

author: adamthehorse


value: saasnap

value: Ever wanted to see yourself as a character in an epic sci-fi movie? A brooding fashion model? A sleek professional? The world of AI image generation is your oyster – but getting it to capture you with style and flair can feel like a secret language, until now.<p>Welcome to The Aesthetic Female: 41 Posing Prompts for Scroll-Stopping Photos, a game-changing collection of 41 premium prompts crafted exclusively for women. This isn't just a list; it's your personal stylist and photography director for the AI era. We empower you to easily transform your personal photos into a gallery of stunning, trendsetting AI images.

value: Show HN: Female scroll stopping AI image prompts (nano banana)

author: saasnap


value:
Last year we launched ChartDB OSS (https://news.ycombinator.com/item?id=44972238) - an open-source tool that generates ER diagrams from your database (via query/sql/dbml) without needing direct DB access.
Now we’re launching the ChartDB Agent.
It helps you design databases from scratch or make schema changes with natural language.
You can:
- Generate schemas by simply describing them in plain English
- Brainstorm new tables, columns, and relationships with AI
- Iterate visually in a diagram (ERD)
- Deterministically export SQL script
Try it out here - https://chartdb.io/ai - no signup required.
Or sign up and use it on your own database
Would love to get your feedback :)

value: Show HN: ChartDB Agent – Cursor for DB schema design


value:
Hi everyone, I'm currently a DevOps/SRE engineer.
Why build this?
When using the AWS CLI, I sometimes need to switch between multiple profiles. It's easy to forget a profile name, which means I have to spend extra time searching.
So, I needed a tool that not only integrated AWS profile management and quick switching capabilities, but also allowed me to execute AWS CLI commands directly within it. Furthermore, I wanted to be able to directly call AWS Q to perform tasks or ask questions.
If you encounter any issues or have features you'd like to see, please feel free to let me know and I'll try to make improvements and fixes as soon as possible.
GitHub Repo: https://github.com/junminhong/awsui
I hope this helps others facing the same challenges, thanks!

value: Show HN: Awsui – A Modern Textual-Powered AWS CLI TUI


value: IOZ

value: Show HN: From100k – a job board for IT roles starting at $100k+

author: IOZ


value:
Big news: NeuroPilot is now *PageLM*
PageLM is the open-source alternative to NotebookLM — a study companion that turns your documents into:
 Quizzes
 Flashcards with spaced repetition
 Structured notes
 Podcast-style audio lessons
 Exam simulations (ExamLab)
 AI-powered homework planning
Built with *LangChain + LangGraph*, free forever and community-driven.
https://github.com/CaviraOSS/pagelm

value: Show HN: PageLM – OSS Alternative to NotebookLM


value: Show HN: Resterm – A terminal-based REST/GraphQL and gRPC client


value:
Hi HN,
Back in 2020 I built a startup where people in movie theaters could compete with each other on the big screen and earn points in real time. It was all about interaction and shared experiences. Then COVID hit, cinemas shut down, and the project died.
After that, I wanted to apply the interactive mechanic to a global problem, not just entertainment. One of the biggest pain points I kept hearing from teachers, trainers, and business teams was how much time it takes to prepare presentations (often 2–3 hours) and how hard it is to keep audiences engaged. That’s where the idea for Oina came from.
What Oina does:
- Enter a topic (or upload a doc), pick the number of slides and tone of voice.
- AI generates a full presentation outline in 65+ languages.
- Add interactive slides (quizzes, polls, open questions, ratings).
- When presenting, the audience joins via QR code (no app required) and interacts live.
- After the session, you get analytics (who joined, answers, engagement per slide).
New: web search integration so the AI can pull in fresh information (recent stats, case studies, current events).
What’s different:
Most AI slide tools stop at static slides. Oina integrates real-time audience interaction, analytics, and web search — so the content isn’t only well-structured but also up-to-date. It’s built for teachers, trainers, and teams that need feedback during presentations, not after.
There’s a free tier (200 credits ≈ 2 presentations) and then subscription plans. It’s live here: https://oina.ai
I’d love feedback on:
- UX: is it easy enough to try without guidance?
- Web search: is this useful for your use cases, or would you expect more depth?
- Technical thoughts: scalability of handling 100+ live connections per session.
- Happy to answer questions about the tech stack, business model, or early traction. Thanks!

value: Show HN: Generate interactive slides with AI (65 languages, live feedback)


value: sreenathmenon

value:
I kept seeing developers (including myself) struggle with the same problem: "I need multiple second brains for different aspects of my life, but AI keeps forgetting context between sessions."
So I built llmswap v5.1.0 with a workspace system that gives you persistent, per-project AI memory.
How it works:

  - cd ~/work/api-platform → AI loads enterprise patterns, team conventions

  - cd ~/learning/rust → AI loads your learning journey, where you struggled

  - cd ~/personal/side-project → AI loads personal preferences, experiments

Each workspace has independent memory (context.md, learnings.md, decisions.md) that persists across sessions. Your AI mentor actually remembers what you learned yesterday, last week, last month.
Key features:

  • Auto-learning journals (AI extracts key learnings from every conversation)

  • 6 teaching personas (rotate between Guru, Socrates, Coach for different perspectives)

  • Works with ANY provider (Claude Sonnet 4.5, IBM Watsonx, GPT-4 o1, Gemini, Groq, Ollama)

  • Python SDK + CLI in one tool

  • Zero vendor lock-in

Think of it as "cURL for LLMs" - universal, simple, powerful.
The workspace system is what makes this different. No competitor (Claude Code, Cursor, Continue.dev) has per-project persistent memory with auto-learning tracking.
Built for developers who:

  - Manage multiple projects and lose context switching

  - Are tired of re-explaining their tech stack every session

  - Want AI that builds on previous learnings, not starts from zero

  - Need different "modes" for work/learning/side projects

Open to feedback! Especially interested in:

  1. What other workspace features would be useful?

  2. How do you currently manage AI context across projects?

  3. Would you use auto-learning journals?

GitHub: https://github.com/sreenathmmenon/llmswap
PyPI: pip install llmswap==5.1.0
Docs: https://llmswap.org

value: Show HN: Llmswap – Solving "Multiple Second Brains" with Per-Project AI Memory

author: sreenathmenon


value: ftchd

value:
I became a full on data hoarder recently, but even before I was juggling multiple buckets for backups, stock assets, etc.
I settled some long time ago, but always forgot some flag, and while I do love a CLI for some endeavors, for this one I felt like a UI would make me move faster (if done right).
Some of my favorite features:
- Remote Defaults (set default flags for a remote, they are applied as initial flags to every operation where that remote is selected, like a pre-fill)
- Templates (a group of flags for an operation, eg. Move, that you can apply. they’re useful when you run the same operation more than once and you don’t want to remember all the flags) (regardless of remote)
- Cron Jobs (templates that run periodically)
- Multiple Configs (switch between different rclone config files)
- Integrated Docs (hover over any flag to see what it does, without leaving the app)
It seen decent usage in recent months, both by companies and random dudes like me, and it has also been starred by NCW, the creator of rclone — an honor.
Here’s the link: https://github.com/rclone-ui/rclone-ui
Happy to share it here with everyone and take your feedback!

value: Show HN: Rclone UI – GUI Storage Manager

author: ftchd


value: eigenqwertz

value: Show HN: Rag

author: eigenqwertz

title: Show HN: Rag


value: impoppy

value:
Hello HN! I made this library because there doesn't seem to be one good way to manage database connections in Python. Functions provided by SQLAlchemy and database drivers are either very bare-bone or outdated ux (dx?) wise.
I used to really love databases[1], but its code is a mess[2], adding new backends is difficult and now it's archived. I wanted to have a similarly simple API and ability to create force rollback connections for tests so you don't have to call your DB clean-up callbacks in each test that uses a database connection, everything will be done in a transaction that will then be cancelled.
[1] - https://github.com/encode/databases
[2] - I think the a reason why its code is so bad is mypy. Use type hints, provide them where they help, but don't go overboard.

value: Show HN: An asynchronous database connection manager for Python

author: impoppy


value: lyogavin

value:
I built this 2D Spine Animation AI for Game.
Upload a game character image, it directly generate 2D spine animation for your character that can directly apply 2k+ animations.
What it does:
- Auto rigging, auto bone structure generation
- Apply 2k+ animations in a click
- Layered image output
- export directly to spine animation to edit
- export to all game engines like Unity and Godots
- 10x easier, 10x cheaper for game development

value: Show HN: 2D Spine Animation AI for Game

author: lyogavin

title: Show HN: 2D Spine Animation AI for Game


value:
Hi HN,
After building kexa.io, the open-source solution to scan your clouds for misconfigurations, we’re excited to announce the premium version, powered by AI for remediation assistance.
When we first launched Kexa, our goal was to give developers and security teams a simple, unified, and Infrastructure-as-Code native tool to automate compliance and security checks across AWS, GCP, Azure, and more.
Thanks for the feedback we got on our last post on HN !
One piece of feedback stood out: while developers loved the IaC approach, many teams wanted a way to visualize their security posture, manage rules, and track remediation without diving into config files.
That’s why we built the premium version.
We added a web interface to:

  Visualize your entire multi-cloud security posture from a single web interface.
  Manage your rules through UI & edit with our no-code rule builder.
  AI Remediation assistance with clear insights based on CIS benchmarks and Kexa rules.

We’d love for you to check it out at https://www.4urcloud.eu/
Please support us by giving a star to the kexa.io open source project on Github !
Happy to answer any questions. What do you all think? How are you currently handling multi-cloud compliance and misconfiguration scanning at scale?
contact@kexa.io

value: Show HN: Kexa.io – Open-Source IT Security Compliance (Now Premium UI and AI)


value: MyGrid

value: Show HN: Plug-in 1.5kWh home battery and app (dynamic pricing, VPP)

author: MyGrid


value: joshcsimmons

value:
Hey all, I built this. It’s not trying to capture every autistic experience (that’d be impossible). It’s based on my own lived experience as well as that of friends on the spectrum.
I'm trying to give people a feel for what masking, decision fatigue, and burnout can look like day-to-day. That’s hard to explain in words, but easier to show through choices and stats. I'm not trying to "define autism".
I’ve gotten good feedback here about resilience, meds, and difficulty tuning. I’ll keep tweaking it. If even a few people walk away thinking, "ah, maybe that’s why my coworker struggles in those situations," then it’s worth it.
Appreciate everyone who’s tried it and shared thoughts.

value: Show HN: Autism Simulator

author: joshcsimmons

title: Show HN: Autism Simulator


value: mnadel

value:
I'm Mike, Head of Eng/Product at Alloy Automation.
We built MCP by Alloy Automation to give your AI agents structured access to business-critical systems without the integration headache. We've built MCP servers covering thousands of tools across platforms like Quickbooks, Xero, Notion, HubSpot, and Salesforce. Pick the tools you need, provision a server, and ship faster.
Need more control? Our Connectivity API gives you programmatic access to all the same tools for custom integrations beyond MCP.
Everything runs with scoped auth utilizing our battle-tested credential management system that independently manages your secrets.
Login for free and try it out here: https://ai.runalloy.com/
We'd love your feedback: what would make this usable in your stack? Happy to dive into any of the details!

value: Show HN: Alloy Automation MCP – Connectivity for business-critical systems

author: mnadel


value: Show HN: Ocrisp, One-Click RAG Implementation, Simple and Portable


value: rocknrollisdev

value:
Hey, HN!
I’ve been working on an AI-powered search engine for DIY & home improvement. Think Perplexity, but tuned for building, fixing, and making things.
We just pushed a big upgrade: it’s faster, better at understanding DIY questions, and sharper at surfacing the right tutorials and guides.
I’d love your feedback:
- Does it feel useful for DIY compared to Perplexity or Google?
- Where does it break or give irrelevant stuff?
- What would make it your go-to when building or repairing?
Try it out: https://patio.so/ask — no signup required.

value: Show HN: Perplexity for Makers

author: rocknrollisdev

title: Show HN: Perplexity for Makers


value: letmetweakit

value:
Hi HN,
I've made a Chrome extension that only allows a single tab in a browser window in an attempt
to regain my focus when browsing the web and more generally, when sitting behind my computer (which is a lot).
What it does:
-Opening a new tab with the '+' button or keyboard shortcut will not work.
-Opening a link in a new tab will open the link in the current tab instead.
I have tested this on Chrome and Brave.
Writing browser extensions is not my forte, I have made this using Claude Code. It will contain bugs, feel free to submit a PR.
Try it out and let me know what you think!

value: Show HN: OneTabMan

author: letmetweakit

title: Show HN: OneTabMan


value: Show HN: Infera – A DuckDB extension for in-database inference, written in Rust


value: Show HN: I built a prompt library for AI video generation, including Sora2


value: irqlevel

value:
I built a privacy-first Retrieval-Augmented Generation (RAG) app for macOS. It lets you search, index, and chat with your local documents directly on your Mac. Everything runs fully offline — no cloud, no tracking.
The app is currently in beta and supports PDF files only.
The only time an internet connection is needed is during the initial LLM model download at setup.
Any feedback is very much appreciated, and contributions are welcome!

value: Show HN: Privacy-First AI Document Chat for macOS (Offline RAG)

author: irqlevel


value: seiflotfy

value:
Here is a Go implementation of FSST, a fast static symbol table compression. It comes with training, encode/decode helpers, and examples. It’s great for logs and JSON data.
Reference implementation: https://github.com/cwida/fsst
Paper: https://www.vldb.org/pvldb/vol13/p2649-boncz.pdf
Benchmarks and tests are in the repo - feedback welcome.
P.S. Assisted by AI.

value: Show HN: FSST – Fast Static Symbol Table Compression Library in Go

author: seiflotfy


value: adilhafeez

value:
Hi HN — we’ve been working on a small project that routes between different LLMs based on user-defined preferences rather than just benchmarks or latency. The earlier version (Arch-Router [1]) was a 1.5B model that matched queries to domains (e.g., travel, creative writing) or action types (e.g., editing).
We’ve now applied the same idea to coding workflows, packaged into a CLI agent via Arch Gateway [2]. The tool gives:
Unified model access — use Claude Code, Grok, Mistral, Gemini, DeepSeek, GPT, or local Ollama models from the same interface.
Task-specific routing — assign different models for tasks like code generation, reviews, debugging, or system design.
Instead of relying on public benchmarks (MMLU, MT-Bench, etc.), routing is guided by user-defined criteria. This helps capture subjective quality, task relevance, and individual developer preferences that generic metrics often miss.
Links:
[1] https://huggingface.co/katanemo/Arch-Router-1.5B
[2] https://github.com/katanemo/archgw

value: Show HN: Claude Code 2.0 router – preference-aligned routing to multiple LLMs

author: adilhafeez


value: korale

value:
Hi all, this is a project I've been working on for some time. It started as a personal AI to help manage growing amounts of data - bookmarks, photos, documents, notes, etc. Most of that data was sitting in the Apple ecosystem and their AI was not doing much to help... The idea was to have a self-hosted box that collects all the data and runs AI models locally, keeping everything private.
Once the data gets added to the system, it gets processed including fetching bookmarks, tagging, classification, image analysis, text extraction / ocr, and more. And then the AI is able to work with those assets to perform search, answer questions, create new items, etc. You can also create scheduled / recurring tasks to assign to the AI.
Through the use of Apple Shortcuts, it's easy to share data with the system through share sheet or global keyboard shortcut on Mac.
- Demo: https://eclaire.co/#demo
- Code: https://github.com/eclaire-labs/eclaire
It’s still early and there's a lot of work to be done but would love to hear feedback.
Happy to answer any questions!

value: Show HN: Eclaire – Open-source, privacy-focused AI assistant for your data

author: korale


value: reclusive-sky

value: I spent the last few months creating an LLM app built on conflict-free replicated data types (CRDTs) and embedded jupyter notebooks. I don't believe there's a one-size-fits-all approach to tools/RAG/memory and I wanted a chat app that just yields control to the end-user/developer. The CRDTs are to keep data in sync across devices (collaborative editing + distributed use cases) and they also provide message delivery guarantees so prompts never get eaten by networking issues.<p>I'm pretty happy with how it turned out and I hope other developers will find it useful for working with tool-calling LLMs!

value: Show HN: Local LLM app with real-time sync (CRDT) and inline tool calls

author: reclusive-sky


value: zonayedpca

value:
Hey everyone,
I’ve been working on a project called ToolMateX, a growing collection of small, utility-based tools that run directly in your browser. No logins, no tracking, no sending your data to my server. Everything happens on-device, in your browser.
I built this because I often needed quick tools (formatters, converters, validators, image utilities, etc.) and got tired of ad-filled, slow, or shady sites. So instead of jumping between random sites, I wanted a single, fast, clean, and secure place.
Some of the tools live today:
- JSON, HTML, CSS, JS, SQL formatters
- Base converters (binary, decimal, hex, etc.)
- Color pickers, gradient/palette generators
- Image optimizers, favicon/icon generators
- Password & hash generators
- QR code, Lorem Ipsum, Regex testers
- Validators (HTML, CSS, JSON, Email, URL…)

  ...and more.

All of them are free and will always remain free on the website. The collection is growing week by week based on what’s genuinely useful.
Website: https://toolmatex.com
I’d love feedback on:
- Are these tools actually useful to you in daily work?
- Any tools you wish existed but haven’t found a decent version of online?
- Thoughts on the UX, is it simple enough or needs tweaking?
This is just the beginning, I’m also building a desktop app version (privacy-first, Rust backend, offline-first, with an installable tool store). But for now, I’d love your thoughts on the web version.
Thanks for reading, and even more if you give it a try...

value: Show HN: ToolMateX – Free Privacy-First Web Tools for Devs, Designers and Makers

author: zonayedpca


value: mcadenhe

value:
Any songwriter who uses the iOS Notes app to write their lyrics has a mess of New Recording 142 voice memos in their Voice Memos app. I made Spit Notes as basically the Notes app but with a built-in voice recorder that keeps your audio files neatly organized on the same line as your lyrics. Now you can quickly capture your song ideas while driving or when you wake up in the middle of the night without worrying about losing them in your pile of untitled voice memos.
While you can attach audio to notes with other apps, adding and recording audio has a lot of friction, and often the layout of the audio elements in those apps are too pronounced to keep the text flowing seamlessly. This is not the case with Spit Notes.
I've wanted this app to exist for years but I put off making it myself because I knew it would take me a lot of time to build manually without knowing Swift. In recent years I've been writing AI-assisted code, but with AI coding agents getting better and better, 3 months ago I decided to see if I could vibe code a full product.
The code for this project was not AI-assisted, but human-assisted, with me providing the vision and feel of the app, while the AI agent takes that, makes a pass at the code base, and then I QA it, letting the AI know what worked/didn't work, and iterating.
I started with paying for Cursor and using Opus 4 but after getting insanely good initial results with Opus 4 and seeing my cursor costs start to rise, I remembered this post https://news.ycombinator.com/item?id=44167412 and took the plunge with Claude Code max $200 plan. This turned out to be an incredible value because it allowed me to use claude basically without limit. However, Gemini still had the biggest context window and as the project grew I had to use Gemini to create plans for big features and find deep bugs across all of the AI-generated modules.
Pro tip: create broad reference files for you and the AI, like an ARCHITECTURE.md where you keep a human-readable version of the technical big picture. You can then reference that for the AI so it stays aligned with your current progression.
Once the Codex CLI became available on homebrew it was a wrap. I cancelled my claude code max plan and have been happily coding without ever hitting any rate limits (other than when they made that update that accidentally reduced rate limits instead of increase them). Today, I pay for for chatgpt plus and gemini $20 plan and am able to clear most obstacles on the first or second prompt. I haven't tried opus 4.5 but since I am not really getting stuck with codex, for now I'll stick with that.

value: Show HN: Spit Notes – A songwriting app that keeps lyrics and audio together

author: mcadenhe


value: DISCURSIVE

value: Show HN: Flotilla, the Distributed Engine for Multimodal Pipelines

author: DISCURSIVE


value: coryli

value: Show HN: StripeMeter v0.5.0 – Open-Source Usage Metering for Stripe

author: coryli


value: bitpilot

value:
I built gitsafe-cli, a Python CLI that lets you transparently encrypt files in a git repo based on patterns (like `.gitattributes`). It supports both symmetric encryption and GPG keyfiles for teams.
Why: I wanted something simpler than git-crypt, with flexible pattern matching, easy setup via `pip install`, and modern crypto defaults.
How: after `gitsafe init`, any files matching your patterns are automatically encrypted in commits and decrypted in your working tree.
Repo/PyPI: https://pypi.org/project/gitsafe-cli/
I’d love feedback on usability, team workflows, and missing features. Collaboration welcome!

value: Show HN: Gitsafe-CLI – Transparent file encryption for Git repos

author: bitpilot


value: Show HN: Kani TTS – Open-source fast TTS with just 370M params


value: Dearth

value:
Devs on my team kept forgetting to add i18n translations. It was boring manual labor that killed flow, so I built a CLI in Go to automate 90% of it.
Now when someone wants to add new translations, they just run a one line script (we've set up a script in our `package.json` to just run `npm run translate`) and it handles all the locales automatically.
What mattered to us when building this:
- No vendor lock-in. If this tool disappears tomorrow, you still have all your translations
- Fast enough that it doesn't break your flow
- One command to run, that's it
- Accurate enough (around 80%) that review doesn't take forever
- Glossary support so established terminology stays consistent
Works with JSON locale files in any frontend project. It uses your provider of choice (bring your own API key for DeepL, Claude, OpenAI, etc.) and has built-in memory so it doesn't retranslate the same strings.
Happy to answer questions
npm: https://www.npmjs.com/package/dire

value: Show HN: Dire - CLI that automates i18n translations

author: Dearth


value: vjv

value: This project came into existence because I got tired of looking for template repositories, creating and configuring projects from scratch, setting up directory structures and monorepos and configuring linting and code style each time I started a new project.

value: Show HN: TypeScript Project Generator

author: vjv

title: Show HN: TypeScript Project Generator


value: CameronBanga

value: Greetings all,<p>Wanted to share a new iOS app released today called Freezy Transcribe. It uses iOS 26's new Apple Intelligence frameworks to transcribe MP3s, videos, and microphone recordings. An in-app podcast lookup can transcribe the latest episode of your favorite podcast. You can also connect to a Broadcastify account and transcribe first-responder audio feeds. Would appreciate any feedback!

value: Show HN: Freezy Transcribe – Transcribe podcasts, first responder feeds and more

author: CameronBanga


value: edunteman

value:
Hi HN, Erik here. Today we launch Butter, an OpenAI-compatible API proxy that caches LLM generations and serves them deterministically on revisit.
Since April, we’ve been working on this concept of “muscle memory,” or deterministic replay, for agent systems performing automations. You may recall our first post in May, launching a python package called Muscle Mem:
https://news.ycombinator.com/item?id=43988381
Since then, the product has evolved entirely, now taking the form of an LLM Proxy. For a deep dive into this process, check out:
https://blog.butter.dev/muscle-mem-as-a-proxy
The proxy’s killer feature is being template-aware, meaning it can reuse cache entries across structurally similar requests. Inducing variable structure from context windows is no easy task, which we cover in a technical writeup here:
https://blog.butter.dev/template-aware-caching
The proxy is currently open-access and free to use so we can quickly discover and work through a slew of edge cases and template-induction errors. There’s much work to be done before it’s technically sound, but we’d love to see you take Butter for a spin and share how it went, where it breaks, if it’s helpful, if we're going down a dead end, etc.
Cheers!

value: Show HN: Butter, a muscle memory cache for LLMs

author: edunteman


value: traceopt-ai

value: Show HN: TraceML, a tool to trace live memory usage in PyTorch training

author: traceopt-ai


value: oathly-dev

value:
VoiceNXT is a lightweight bot that runs inside WhatsApp and Telegram. It helps turn voice notes, meeting recordings, and YouTube links into structured summaries and calendar events, without switching apps or dumping raw transcripts.
Instead of full-text output, VoiceNXT distills audio into concise summaries called Pacts, designed to capture decisions, agreements, and key points.
What it does
- Transcribes voice notes and meetings into formatted summaries
- Extracts audio from YouTube links and generates TLDW recaps
- Creates calendar events from spoken reminders
How it works
- Supabase edge functions (TypeScript/Deno)
- Transcription via DeepGram (primary) and Google STT (fallback)
- Summarisation with Gemini, tuned for clarity and decision-making
- Direct integration with WhatsApp Business API and Telegram Bot API
Why it matters
- Works inside the chat apps people already use
- Focuses on clarity and action, not raw transcripts
- Enables calendar creation from voice without leaving chat
- Private by default, no uploads, no leaks
Limitations
- YouTube videos capped at about 40 minutes
- Currently English only
Links
- voicenxt.com
- WhatsApp: wa.me/447830673201?text=help
- Telegram: t.me/VoiceNXT_bot
Looking for feedback: especially around use cases, clarity, and whether this feels more useful than traditional transcription bots.

value: Show HN: Summarise voice notes and YouTube links inside WhatsApp and Telegram

author: oathly-dev


value: Locrin

value: Show HN: I over engineered changing Azure tags?

author: Locrin


value:
Hey HN,
A friend runs a small clothing brand. Every drop he’d shoot 100+ photos and waste hours debating which one would make people stop scrolling.
I thought: maybe AI could help.
So I built Aisthetix for 2 reasons:
Predict which photos grab attention so creators can publish faster.
Replace painful gut picks with a data-driven score.
Upload your pics → AI ranks them by “stop scroll” potential → optional captions.
It started as a weekend hack for him, now I’m testing it with more creators.
Would love your feedback

value: Show HN: I built a StopScrolling Predictor 4 creators and brands to help friend


value: iamvaar-dev

value: Standalone Android AI Agent built with Flutter & Kotlin - Complete on-device automation, No computer needed after setup!

value: Show HN: A Standalone Android AI Automation Agent

author: iamvaar-dev


value: unbalancedparen

value: Show HN: Fuzz Forge, vulnerability discovery with AI and fuzzing

author: unbalancedparen


value: wayy

value:
Hey HN,
I'm learning Chinese and grew tired of rote memorization and the contrived examples found in many language-learning apps. I wanted to learn in a more natural context by reading content I was already interested in, such as articles on Hacker News.
So I built a tool that takes any article and partially translates it based on your self-reported HSK (Chinese Proficiency Test) level. The goal is for you to be able to read and understand the article while actively using the Chinese you already know.
If you forget a character, simply double-click or select it to get an instant definition. After finishing an article, click "done reading" and the tool tracks the words you knew and those you needed to look up over time.
My aim is to make language learning feel less like a chore and more like a natural extension of your existing reading habits.
I have plans to develop this into a Chrome extension for automatic translations as you browse. I also intend to introduce smarter vocabulary progression, for example, by sprinkling in HSK 4 words once you are comfortable with HSK 3.
The project is still in its early stages, so any feedback or questions would be greatly appreciated.
You can try it out here: https://trylinden.com/chinese/

value: Show HN: Learn Chinese by partially translating things you'd normally read

author: wayy


value: dailyanchovy

value: Modern macOS versions open folders in seemingly random positions and sizes. This set of scripts restores the behaviour known to classic macOS, where:<p>- folders remember where they were on the screen<p>- folders remember how big they were<p>This enables you to utilise the brain's superb spatial memory for file management.

value: Show HN: Re-Implementing the macOS Spatial Finder

author: dailyanchovy


value: makosst

value:
Hi HN!
I am Konstantin, building Manta (https://github.com/manta-ide/manta) alongside my co-founder Yehor. It is a graph-based IDE with natural-language nodes, that lets you index your codebase and work by creating and connecting nodes.
I always loved how Miro works - you can describe software in a few different ways, and make it clear how you think it should work on technical or product level.
I tried several solutions that let you build software by using nodes, but all those are forcing you to use the nodes they created, with strict connectors, and instead of making it easier, it becomes visual programming which is just harder to maintain than plain code.
That's why we build this solution, that is not restrictive of which nodes and connections you want to make.
We use a coding agent (your local Claude Code) underneath, and it is smart enough to understand what did you mean by the nodes you created.
This has a few interesting effects: - You can describe software on different levels of abstraction - You can choose to work with features, user flow, architecture diagram, timeline, or any other way you want - Node properties are now chosen by you, so you can decide which configuration (or no at all) you need for some component.
We are also working on more features for describing your software - edge and node types, comments on the canvas, supporting multiple graphs for a single solution.
On the technical level, it is a graph described in XML, that is editable on the screen. There are 2 states of the graph - "base" that is already implemented, and "current" which you are editing, and you see which nodes are modified.
Once you are ready to build it into code, you click a "build" button and the agent sees the difference between current and previous version, and can build out the changes and iteratively "fill in" the base graph with implemented changes.
For the property system we tried generating properties directly in code as a configuration, but it required to change the code while indexing a codebase. So while it worked well, it might introduce new bugs, and we switched off to graph-only properties. So the properties only exist on the graph, and once you modify them you need to "build" with the AI agent to see the changes. The AI agent just sees the direct commands of implementing some specific change in some node.
To make the coding agent's work easier we added metadata to the node, and it can specify which files were modified during creation of the node. While editing it next time he can go directly to the right files.
You can also use the chat to ask the agent directly for some fix, to index the codebase or to do some graph changes to automate some of the work. I personally either ask it to index on some level of abstraction/projection or if I know the codebase already - I just create the rough outline of how the architecture looks, and ask it to index in, to expand the descriptions and fill in the properties for nodes.
Would love to hear your feedback!

value: Show HN: Manta – graph-based extension for Claude Code

author: makosst


value:
A public instance is available at https://rostra.me/.
It will default to showing the interface from the perspective of my own identity, in a read-only mode. Click "Logout" and then "Random" to generate your own identity to play with.

value: Show HN: Rostra is a P2P (f2f) social network


value: mfdupuis

value:
Hey, I'm Marc one of the co-founders of Fabi!
We've all seen the "chat with your data" or the "AI-as-an-assistant" when building reports, but we felt like this wasn't quite right.
So we decided to build a system that allowed users to:
* Connect any data source to the AI
* Purely chat with the AI and their data (so we show the output right in the chat before you even apply the changes)
* Convert that chat to a repeatable analysis with a data app or workflow
* Toggle back to chat mode without missing a beat
Basically this means that if you're a data person, you don't have to go through these loops of Ask AI -> Apply the code to your report -> Look at the results -> Revert or ask for updates. You can just stay in the chat interface and ask questions until you get the result you want then "Save" it to your report.
Sharing here, because making this work required some pretty cool and difficult handling of variables between the AI chat and the report.
For example, if you have a dataframe "df1" in your report, you want the AI to be able to access that dataframe and create new ones, says "df2". But you don't want df2 available in your report until you've accepted the change from the AI, otherwise the AI would be creating tons of variables that would cause a mess.
Happy to answer any questions!

value: Show HN: AI analyst agent – Seamlessly switch between chat and build mode

author: mfdupuis


value: blcksearcher

value:
the new wave of online gambling caused me to think about the aspects of these games that people enjoy. a lot of it is the thrill of gambling itself of course. but a particular game i've seen people play stood out to me: livestreamed "real" blackjack tables. human dealers are employed somewhere not in the US to deal you cards and react to your play / comments. this is ~fine but it makes the game slower and the UI clunky. I'm also not sure what the ethics there are. I figured we can now combine the best of both worlds:
1. have a seamless UI much like the regular one -- you can even play from your phone
2. have AI powered dealers that react to your play and you can chat with
this means the game can be much more seamless and quicker, while maintaining the fun of having someone to chat with while you play. plus you still have the thrill of the game since you're playing with Solana! just connect your wallet, deposit some SOL, and cash out at any time! the backend itself is just a smart contract and the funds are non-custodial.
lots of things to polish here regarding latency etc. but figured this is still a fun little demo some people might enjoy.
any feedback is much appreciated.
good luck!

value: Show HN: Blackjack with AI Powered Dealers

author: blcksearcher


value: nimabanai

value:
Hi HN friends, we're Nima (nimabanai) and Craig (cbschind) from Assemble Labs (https://assemblelabs.co) building the hardware context layer for AI to help you write better firmware faster. We’ve built an MCP server that plugs into any AI tool you’re using (Cursor, Claude Code, Gemini, etc.) and brings complete hardware context (schematics, datasheets, etc.) to your existing environment (new app fatigue is real...) with accuracy and in real time. Our goal is to make writing and debugging firmware on custom hardware faster and easier.
Try out the free beta release: https://app.assemblelabs.co  and email me (nima@assemblelabs.co) or Craig (craig@assemblelabs.co) for any bugs, issues, suggestions, or anything else. Feedback is the most important thing for us right now and we’re only announcing this on HN. So only the free beta tier is available at the moment with no MCP call cap, please ignore the cap text on the website.
We've spent our careers building hardware and consistently faced the same limitations with any AI tool we tried:

  - Generic answers: they lack knowledge of our specific board designs and hallucinate when there’s a knowledge gap.
  - Limited context: Windows max out after just a few datasheets, app notes, or SDK docs.
  - Poor technical comprehension: OCR fails on tables/diagrams, causing inconsistent answers which is unacceptable for complex board bring-up.

We need a persistent hardware knowledge base that any agent, editor, or CLI can query for fast, accurate, repeatable answers.
Our MCP ingests your schematics (must be KiCad for now, we’re working on native Altium and Cadence), datasheets for primary BOM components, and any additional documents (app notes, user manuals, etc.), then provides an MCP key you can plug into any AI tool.
To be upfront about our free beta limitations:

  - KiCad only for native schematic parsing. Other EDA tool support coming soon. No firmware repo integration yet.
  - FastMCP backend (https://github.com/jlowin/fastmcp) with manual upload to AWS S3. On-prem/air-gapped/local/your-cloud options coming. Zero training on uploaded docs, even in beta.
  - No SOC 2/ISO27001 yet. In progress.

We're building in public and want the community’s feedback on features, roadmap, and concerns so we can iterate quickly. Our long-term goal is to enable electrical engineers to write low-level firmware, and for software engineers to debug hardware issues. We want to be useful at the hardware-software interface: generating firmware→deploying it on board→running tests→debugging results→regenerating firmware.
What do you guys think? Feedback, suggestions, concerns, harsh criticisms, feature requests, everything is welcome! For the firmware application of our tool:

  - What chipsets do you want to see supported? What peripherals are giving you headaches in bring-up?
  - What other functions should the MCP expose in addition to the ones we’ve built in?
  - Do you see other applications of our “hardware brain” outside of firmware development that seem interesting?

We're shipping early and building this with you out in the open. Help us make the tool you actually want.

value: Show HN: Assemble Labs – Hardware Brain for LLMs/IDEs

author: nimabanai


value:
Like many of us, I struggle with staying focused and avoiding distractions while browsing the web. I’ve tried all the website blockers out there – Blocksite, Freedom, you name it. Most of these tools failed for one of two reasons: they were too strict, so I ended up disabling them permanently, or they were too lenient, so I would quickly find a way around them.
To solve this for myself, I built DecayBlock, a browser extension based on the principle of adaptive friction. The mechanism is simple:
1. When you visit a site on your distraction list, a brief timeout is applied before the page loads.
2. This timeout accumulates with each visit, so repeated or habitual access becomes progressively more difficult.
3. Over time, the accumulated timeout decays with a configurable half-life when you stay away from those sites.
The goal isn't to enforce a ban (although you can permanently block websites if you choose), but to introduce a small, increasing cost to the act of procrastination. That brief pause is often enough to break the subconscious loop of opening a distracting tab, without ever fully locking you out. You can configure the timeout growth rate and decay half-life to match your own habits.
I've been using this system daily for several months, and it has been significantly more effective for me than any other tool.
DecayBlock is available now on both the Chrome and Firefox web extension stores. Currently it’s only on desktop but I’m hoping to release a mobile version at some point in the future.
Chrome: https://chromewebstore.google.com/detail/decayblock/lpljcnal...
Firefox: https://addons.mozilla.org/en-GB/firefox/addon/decayblock/
I'm here to answer any questions and would love any feedback!

value: Show HN: An extension similar to Blocksite, but with a dynamic timeout


value: modinfo

value: Show HN: A modern PostgreSQL database client built with Tauri and Preact

author: modinfo


value: Show HN: Agent Message Transfer Protocol


value: wastu

value:
Hey all, I made simple note app for quick note-taking with AI text completion (just like GitHub Copilot) to get contextual writing suggestions that match the tone and voice.
I skip words or sentences often when I brainstorm. They're on the tip of my tongue but won't come out, and by the time I find them, I've lost my train of thought. So I made Notestorm where I can continue writing without breaking the flow.
Features:
- Clean, markdown editor with VSCode keybindings
- AI autocomplete that mirrors your writing style
- Local-first. Notes saved in IndexedDB, no servers, no accounts
- Works offline. nothing leaves your machine unless you use your own API key.
I use it for:
- Brainstorming ideas before they're ready for my "real" notes
- Drafting emails/messages quickly (then copy to Gmail)
- Any temporary writing that I'll delete after copying elsewhere
Try demo (GPT OSS 20B 128k) or use your own key (OpenAI/Anthropic/Google/Groq).
https://notestorm.wastu.net/
Feedback are welcome, appreciate to anyone who gives it a try!

value: Show HN: Notestorm – a privacy-first AI scratchpad I made for quick idea dumps

author: wastu


value: marcuspat

value: Advanced Agentic Development Environment

value: Show HN: Turbo-Flow Claude v1.0.1 Alpha

author: marcuspat

title: Show HN: Turbo-Flow Claude v1.0.1 Alpha


value:
Hi HN,
I use ChatGPT a lot for my code. But it's very annoying to give it my whole project context. Copying files one by one is slow, and zip files don't work.
So I made a small tool for myself: project2txt.
You just drag your project folder into the browser. It reads all the files and puts them into one big .txt file.
The most important thing for me: it's 100% private. All the work happens inside your browser. Your code is never uploaded anywhere. No server, no data collected.
It automatically ignores junk folders like node_modules and .git.
You can select which folders and file types you want.
The output text has file paths, so the AI knows your project structure.
No signup needed. Just use it.
I built this with Next.js. It's my first time trying something like this, so maybe there are bugs.
Here is the link: https://project2txt.com
Let me know what you think. Is it useful? Any feedback is welcome.
Thanks.

value: Show HN: Project2txt – Export your codebase to a single text file for LLMs


value: qwikhost

value: Show HN: Photo AI Editor – Edit, Transform and Enhance Photos with Text Prompt

author: qwikhost


value: g-savitha

value:
Hi HN!
I built Bookmark GPT Pro to solve my own problem: I had hundreds of bookmarks but Chrome's search only does keyword matching.
What it does:
- Full-content search - searches titles, headings, descriptions, and full page text (not just titles)
- AI chat interface to ask questions about your bookmark collection
- Example: search "performance" and find "Making React Apps Faster" even if "performance" is only in the page content
Technical approach:
- Weighted keyword search (title=50pts, headings=25pts, content=10pts)
- AI chat powered by OpenAI or Ollama
- Ollama support means you can run completely local/offline
- No server-side storage - privacy-first design
Why this matters:
Traditional folder organization breaks down at scale. Chrome only searches bookmark titles. Full-content search finds bookmarks based on what's actually on the page.
Privacy:
With Ollama, everything runs on your machine. For cloud models, we only transmit encrypted queries - no bookmark storage.
Chrome Web Store: https://chromewebstore.google.com/detail/bookmark-gpt-pro/de...
Troubleshooting Guide: https://g-savitha.github.io/bookmarkgptpro-info/troubleshoot...
Built this over a few months of weekends. Would love HN's feedback on the approach and implementation!

value: Show HN: Bookmark GPT Pro – Full-content search and AI chat for Chrome bookmarks

author: g-savitha


value: fathersimi

value:
I built Silobase
, an open-source backend-as-a-service packaged as an npm module.<p>With just a package.json and a .env file, you can deploy a REST API on top of your own database.

value: Show HN: Silobase – Firebase/Supabase alternative as NPM package

author: fathersimi


value: Leewlms

value:
Hey HN, I’m Lee.
I’ve always felt that most learning apps miss the point. They push you to memorize facts, but they don’t really help you understand things from the ground up.
I built StudyBlocks as a way to counteract this by breaking down your topic of interest into first-principles.
How it works:
1. Pick a topic and break it into fundamentals
2. Take notes, highlight, and ask questions as you go
3. Test yourself with personalized quizzes and flashcards
It’s designed to be lightweight with no endless feeds or fluff, just tools to help you learn.
I’d love honest feedback (good or bad). Be as blunt as you’d like :)

value: Show HN: I made a website that converts topics into first-principles

author: Leewlms


value: byx

value: Show HN: Relation Explorer – A powerful mathematical graphing software

author: byx


value:
Like many of us, I struggle with staying focused and avoiding distractions while browsing the web. I’ve tried all the website blockers out there – Blocksite, Freedom, you name it. Most of these tools failed for one of two reasons: they were too strict, so I ended up disabling them permanently, or they were too lenient, so I would quickly find a way around them.
To solve this for myself, I built DecayBlock, a browser extension based on the principle of adaptive friction. The mechanism is simple:
1. When you visit a site on your distraction list, a brief timeout is applied before the page loads.
2. This timeout accumulates with each visit, so repeated or habitual access becomes progressively more difficult.
3. Over time, the accumulated timeout decays with a configurable half-life when you stay away from those sites.
The goal isn't to enforce a ban (although you can permanently block websites if you choose), but to introduce a small, increasing cost to the act of procrastination. That brief pause is often enough to break the subconscious loop of opening a distracting tab, without ever fully locking you out. You can configure the timeout growth rate and decay half-life to match your own habits.
I've been using this system daily for several months, and it has been significantly more effective for me than any other tool.
DecayBlock is available now on both the Chrome and Firefox web extension stores. Currently it’s only on desktop but I’m hoping to release a mobile version at some point in the future.
Chrome: https://chromewebstore.google.com/detail/decayblock/lpljcnal...
Firefox: https://addons.mozilla.org/en-GB/firefox/addon/decayblock/
I'm here to answer any questions and would love any feedback!

value: Show HN: A website blocker for improving focus that actually works


value: We saw that the existing solutions have a learning curve and restrictions. So we thought to assemble one that can make things easy. Let me know your thoughts on this.

value: Show HN: PDF Generator API Based on React and Tailwind


value: Made a simple SVG converter with a friend. Under the hood, it uses vtrace for tracing and some image optimizations to make the trace cleaner. All feedback is welcome :)

value: Show HN: Built a free online SVG converter


value:
Hi HN,
I built Valoris Research to solve a problem I kept running into: there’s a flood of brilliant AI research on arXiv every day, but very little of it makes the jump into real, venture-backable startup ideas.
Valoris Research is a daily feed that:
- Scans the latest arXiv AI papers
- Evaluates them for market potential, customer pain points, and venture readiness
- Publishes concise, human-readable venture ideas inspired by the most promising works
Think of it as a bridge between emerging academic research and practical innovation — built for founders, investors, and technologists looking for their next big idea.
I launched this as a side project a few weeks ago and have been shipping daily. I’d love feedback from the HN community — especially around:
- Usefulness of the venture idea format
- Gaps or improvements you’d want as a founder or investor
- Whether there are other research domains I should cover beyond AI
Happy to answer questions about how I evaluate research, pick ideas, or scale the pipeline.
— Sumit

value: Show HN: Valoris Research sifts AI papers to surface venture-grade startup ideas


value: sitmo

value:
I've been working on a compact Python library called cgmm for regression modelling with Conditional Gaussian Mixture Models. It allows flexible, data-driven regression beyond Gaussian and linear assumptions.
It integrates with scikit-learn, comes with documentation and examples, and is available on PyPI.
Key features:
* model non-Gaussian conditional distributions
* capture non-linear dependencies
* handle heteroscedastic noise (variance that changes with inputs)
* provide full predictive distributions, not just point estimates
The current release added:
* Mixture of Experts (MoE): Softmax-gated experts with linear mean functions (Jordan & Jacobs, “Hierarchical Mixtures of Experts and the EM Algorithm”, Neural Computation, 1994)
* Direct conditional likelihood optimization: implementing EM from Jaakkola & Haussler, “Expectation-Maximization Algorithms for Conditional Likelihoods”, ICML 2000
Examples now cover a range of applications:
* ViX volatility Monte Carlo simulation (non-linear, non-Gaussian SDEs)
* Multivariate seasonal forecasts (temperature, windspeed, light intensity)
* Iris dataset + scikit-learn benchmarks
*  Generative modelling of handwritten digits
Links:
Docs: https://cgmm.readthedocs.io/en/latest/
GitHub: https://github.com/sitmo/cgmm
PyPI: https://pypi.org/project/cgmm/
I'd love to get feedback from the community, especially on use cases where people model non-Gaussian, non-linear data.

value: Show HN: OS Library for Conditional Gaussian Mixture Modelling in Python

author: sitmo


value: cookiengineer

value: Show HN: Gooey – Opinionated Go WebASM Framework

author: cookiengineer


value: customall

value:
Hi HN,
We built Persify, a SaaS app to help Etsy and Amazon sellers handle personalized orders more efficiently.
The pain point: personalization usually means manually reading customer notes, editing artwork, and generating print files—slow, error-prone, and hard to scale.
With Persify, sellers can:
Safely sync orders from Etsy & Amazon
Use AI to extract personalization details from customer notes
Automatically generate print-ready files
Send files directly to fulfillment partners (currently Printway, Dreamship, more to come)
We’d love feedback from this community on:
How we can improve the AI extraction workflow
What integrations or features would be most useful for sellers
Any advice for scaling SaaS in the e-commerce tools space
We’re early but excited to learn from your thoughts!

value: Show HN: Persify–AI-powered personalization order workflow for marketplace

author: customall


value: emiliano

value:
Open source tool to analyze Instagram followers/following. Zero server-side data: all processing happens in your browser (localStorage).
What it does:
- Upload Instagram JSON exports
- See who doesn't follow you back and vice versa
- Track trends over time with multiple snapshots
- Export/backup your data
Stack: Next.js 15 + TypeScript + shadcn/ui + Recharts
Why I built it: Instagram doesn't give visibility into this data and existing apps always require account access or send data to their servers. This is fully client-side.
Limitations:
- Manual Instagram data export required each time
- I have few followers, so haven't tested with large datasets (10k+ followers). would appreciate feedback on performance if you try it
Open to feedback on UX and missing features

value: Show HN: InstaTrack: open-source, privacy-first Instagram analytics (local)

author: emiliano


value: tamnd

value: Show HN: The Little Book of C

author: tamnd

title: Show HN: The Little Book of C


value: lforster

value:
Hi HN, I'm Louis. I did ML research (SOTA on lowlight video denoising) and now I'm solo building Treyspace.
I built this because I was sick of copy-pasting scattered notes from Obsidian, Mural, and text files into ChatGPT, and having to re-explain the project context each time. The relationships between information were lost, resulting in generic / hallucinated responses.
Treyspace is an AI-native canvas that turns your brainstorming, diagramming, and note-taking builds a knowledge graph for Retrieval Augmented Generation (RAG).
Unlike most canvases that just store the raw data, Treyspace has a graph-based storage engine that stores the spatial relationships, connections, and groups. It can traverse this graph to get the relevant elements and context.
For example, "Using our brand principles, draft an apology tweet", and get relevant answers with the referenced sources highlighted. The idea is to provide the LLM with the most precise and accurate context.
Use cases:
- Get AI answers grounded in your own notes instead of the LLM training data.
- Ideate and plan future product features with your whole startup in the context window.
- Onboard teammates by letting them query the canvas instead of interrupting you.
It's free to use during our open beta. The canvas is a fork of Excalidraw, extended with this knowledge-graph layer.
Roadmap: I am currently rebuilding the core RAG engine to cut response time to ~10s and improve retrieval accuracy.
Try it out: https://app.treyspace.app/
Would love feedback. Does this resonate with how you work? What's the hardest part of getting LLMs to understand your projects?

value: Show HN: Treyspace – A canvas that gives your LLM spatial awareness

author: lforster


value: Show HN: Unicode symbols that make numbers look cool anywhere


value: dayaya

value: Show HN: Ultra-realistic, highly controllable AI images for e-commerce brands

author: dayaya


value: mythz

value: Show HN: Llms.py – Local ChatGPT-Like UI and OpenAI Chat Server

author: mythz


value: NabilChiheb

value:
A client once sent me a React project where a single component was 1,800 lines long. It came out of an LLM code generator, and it was basically unmaintainable.
That pain led me to build React Code Splitter an open-source CLI that takes those monster files and helps you break them down into smaller, meaningful components. It uses ASTs under the hood, detects props automatically, and has an interactive mode so you can actually name things properly:
? Extract this component? Yes
? Component name: PaymentSummary
If you’ve ever opened a huge React file and thought “no human should have to read this”, this tool might help.
https://github.com/chihebnabil/react-code-splitter

value: Show HN: Tool that splits your Big React component into clean subcomponents

author: NabilChiheb


value:
Hi HN, We are excited to present you InsForge AI. We quit Databricks, Meta, and Amazon to build *an agent-friendly Supabase alternative*.
Why? Because current tools like Supabase make it painful for agents and developers:
1. *RLS enabled by default* → queries fail without policies
2. *Verbose Postgres policies* that are error-prone to write and maintain
3. *Secrets and auth setup* require lots of manual wiring
InsForge is an open source project and we provide hosted versions with API access as well. (Website: https://insforge.dev/ , Github: https://github.com/InsForge/InsForge)
With InsForge, APIs ship with sane defaults via MCP servers — security rules are applied automatically so developers get safe behavior out of the box, without manual intervention. Both client and server code are fully open source.
For a quick start in the hosted version, login to our website and create a project. Then start connecting with your coding agent and start calling our APIs directly. You can find more details in our docs. https://docs.insforge.dev/quickstart
This is still an early release and we’d appreciate feedback from the community. What are your pain points when interacting with BaaS platforms? We’ll be around in the comments to answer questions. Thanks for reading!

value: Show HN: InsForge AI, Open-Source Agent Friendly Alternative to Supabase


value: indreklasn

value: Hey, I'm Trevor. I'm currently building skillcraft.ai. Skillcraft.ai is a knowledge engine tailored for learning - we're reimagining how people discover and choose programming education.<p>Instead of searching platform by platform or wading through Google's mixed results, you get one intelligent search across the entire landscape of coding education.

value: Show HN: Knowledge Engine Tailored for Learning

author: indreklasn


value: pyoner

value:
Hi, everyone!
I built a TimeLock NPM Registry to prevent supply chain attack. I was inspired by minimumReleaseAge of the pnpm, but I'm using bun for my projects.
TimeLock NPM Registry is an alternative npm package registry focused on supply chain security.
Its core feature is introducing a time lock before new package versions become available for installation. This protects developers from compromised releases: while packages are “on hold,” the community and security tools have time to detect and block malicious code.
Why it matters
 Reduces the risk of installing malicious packages.
 Lets you “wait out” 24 hours or more before updating.
 Increases trust in dependencies and builds.
How it works
A package author publishes a new version.
TimeLock NPM Registry places it into a pending state for a set duration (e.g., 24 hours).
Only after the timer expires does the package become available for installation.
Tech stack — Cloudflare Workers, Honojs.

value: Show HN: TimeLock NPM Registry

author: pyoner

title: Show HN: TimeLock NPM Registry


value: griffinkelly

value:
I’ve been working with @artf (creator of GrapesJS) on Grapes Studio, an HTML-first editor with an LLM assistant on top of GrapesJS.
We’re approaching this differently than the new wave of AI app/site builders which are typically generating full React applications, which we think is overkill for simple websites. From talking to people using these tools, we’ve seen a lot of issues with build errors and overly complicated pages.
With our approach you can:
- Edit visually via the no-code editor (drag/drop) or ask the LLM to make scoped changes (like “add a section” or “add a new page”).
- Build with straight HTML/CSS
- Ask AI to import your current site and start building from there instead of total rebuild.
We think there’s a lot of benefit using drag and drop editor functionality with LLMs, or you can jump straight into the code in the editor if you choose.
- Do you see value in this hybrid model (AI + visual + code editing)?
- What are the biggest blockers you’ve run into with AI-only builders?
Let us know what you think.

value: Show HN: Grapes Studio – HTML-first WYSIWYG website editor with LLM assistant

author: griffinkelly


value: Adithya-Kolavi

value:
Hey HN,
I built Gitvizz to make it easier to understand large nested codebases + completely open source
Instead of scrolling endlessly through files or grepping around, you can just point Gitvizz at a repo and it’ll give you an interactive graph: modules, files, functions, imports — all wired up so you can see how things connect. You can zoom into sub-graphs, follow dependency chains, and even export snapshots or plain-text summaries.
It works with most common stacks (JS/TS, Python) new language support coming soon
Why I made this
Whenever I joined a big project or inherited code I didn’t write, I’d always wonder: “What depends on what? How messy is this part really?” Metrics and lists helped a bit, but they never gave me a clear map. So I built Gitvizz to give that “big picture view” at a glance.
Some details
-Graph layout is a mix of force-directed + hierarchical (so it’s not just spaghetti)
-Under the hood it builds an AST + call/import graph
-All rendering is client-side; backend just parses into JSON
-Still early — some languages and edge cases (dynamic imports, codegen) are rough
Try it : gitvizz.com
Codebase : https://git.new/GitVizz
What’s next
- Works best under ~100k LOC right now
- Planning better filtering + clustering
- More language support
- Opening up the backend so plugins can extend it
Would love feedback:
-What kind of graph views/layouts would actually be useful to you?
-Any repos it totally breaks on?
-Features you’d want (like “find all paths from A to B”)?
Thanks for checking it out!

value: Show HN: Gitvizz – visualize your codebase as interactive dependency graphs

author: Adithya-Kolavi


value: jbarrow

value: Show HN: CommonForms – open models to auto-detect PDF form fields

author: jbarrow


value: WilcoKruijer

value:
Hi HN, I’ve been building 'Fragno', a toolkit for building full-stack TypeScript libraries that work seamlessly across frameworks like Next.js and SvelteKit.
Traditional libraries are built to integrate on either the frontend or backend. Glue code ends up being re-implemented for every project: API routes, documentation (OpenAPI), client-side integration, etc.
With Fragno, you can write libraries that include API routes and client-side hooks/logic. Users can integrate a Fragno library into their application with just a couple of lines of code. This embeds the API routes and lets them immediately use the library’s functionality from the frontend.
A Fragno library integrates end-to-end: type-safe from reactive hook to backend logic. It supports React, Vue, Svelte, Next.js, React Router, Nuxt, SvelteKit, and more.
The need for a full-stack library came up as I was building Recivo (my last Show HN). I wanted to integrate a simple AI/LLM chatbot that could help navigate the dashboard and fill in forms. I wanted to build it so it could integrate not only with my React Router-based app but also with apps built with different full-stack frameworks.
I believe this all could be useful for API-first companies wanting to onboard users quickly, or building frameworks such as Better Auth (which was an inspiration in building this).
It’s early days. I’d love to hear what use cases people come up with. Let me know what you think!
Code is at https://github.com/rejot-dev/fragno

value: Show HN: Fragno – Toolkit for building full-stack libraries

author: WilcoKruijer


value:
Story time: 13 years ago (gasp, I'm old), I had a nice and minimal (and skeuomorphic!) metronome app on the App Store. I'm a designer with limited coding skills, so it was design exercise first, until I hired a brilliant developer to build and eventually release it. Huge milestone for 24-year-old me.
Well, I could not maintain the app in the long run and it faded.
Every 3-5 days I thought about how to resurrect it myself. I started Swift tutorials, gave up, started again, gave up again. Just couldn't do it. But also couldn't shake it.
Today, I'm reading every discussion about the pros and cons of vibe coding. I watch the hype and am somewhat going through the AI disillusionment phase myself.
But then, AI coding now enabled me to actually rebuild the app exactly as I imagined it in a whole new design, but with the same minimalistic principles. This use of AI is still a wonder to me.
I honestly built this for myself, like a bespoke app for my guitar practice.
There are some good apps out there, but they weren't exactly as I needed. I'm sure some of you know this particular form of suffering where an app is perfectly fine for everyone else but you notice every tiny thing that could be better. Classic designer/developer curse.
Most importantly I wanted an app that has:
- no ads, no popups or nags
- no signup or trials
- just works almost like a hardware tool that sits there and plays when you press the button
Happy to share it now for free with everybody who might find it useful. I went for an optional in-app purchase to a.) find out how that works and learn, and b.) maybe earn money, come on let me dream.
Bonus experiment: There's an ad- and tracking-free web version I'm thinking could be a nice gateway to the iOS app:
https://www.verygoodmetronome.com
Landing Page:
https://www.verygoodmetronome.com/app/
And the app itself:
https://apple.co/3WllSby
Any feedback or thoughts are welcome!
My first HN post and I'm not even a hacker... please be kind?

value: Show HN: Very Good Metronome – Minimal iOS metronome, resurrected after 13 years


value: dugjason

value: Show HN: CraftCX – Start measuring your AI-driven support

author: dugjason


value: terrynce

value:
Most AI failures aren’t mysterious; they’re unobserved. This ships a tiny, open receipt per run—κ for stress, Δhol for drift—so you can diff, audit, and keep the path, not just the answer. It’s just JSON; drop it in CI. Looking for feedback on setup friction and where the signals break.
Links to run it
COLE (Coherence Layer Engine): github.com/terryncew/COLE-Coherence-Layer-Engine-
OpenLine Core: github.com/terryncew/openline-core
Small receipts. Big accountability.

value: Show HN: Receipts for AI runs – κ (stress) + Δhol (drift), stdlib-only

author: terrynce


value: opuslabs

value: Show HN: A portfolio exploring identity through design and technology

author: opuslabs


value:
Hey HN, I’ve been helping small SaaS teams get through SOC 2 / ISO 27001. Every “policy builder” I tried (10+ of them) spat out generic stuff that auditors basically shrugged at (same as if you asked ChatGPT).
So I ended up building my own tool. Nothing magical — just a lot of research, plus layering in the right context (implementation controls, company specifics, testing conditions, etc.).
The outcome: three companies I worked with recently passed SOC 2 Type 2, and the auditors actually called out the policies as well-structured and clear.
You can also try and generate any policies in ~60 seconds
Curious if you’ve run into the same issue and would love your feedback if you give it a spin.
Thank you!

value: Show HN: I built a SOC2 policy generator after auditors hated the existing ones


value: Show HN: Visual EE Builder – Build Ansible Execution Environments in One Click


value: jackchuka

value: Show HN: Gh-dep – TUI to batch review/merge Dependabot/Renovate PRs across repos

author: jackchuka


value:
TL;DR
mdchat lets you chat with LLMs directly with your Markdown files on your terminal. You can ask, edit, summarize, and generate inline without leaving your text workflow.
What is mdchat?
mdchat is a cli tool that lets you collaborate with LLMs directly to write markdown files. You can issue prompts, generate content, edit, summarize — all inline, in your Markdown files via terminal sessions. The idea is to bring LLM interaction into your writing workflow!
Motivation:
I write a bunch of markdown files for taking notes, summarizing bunch of notes that I have written, editing, etc and most of the time, I interact with ChatGPT to make it better~ since back and forth was getting to me a bit, I thought it would be great to have this!
Future Roadmap:
1. Conversation memory
2. Smarter API usage
3. Better reasoning for Markdown content
4.Context management across multiple files
Feedback and contributions are welcome!

value: Show HN: Mdchat – Markdown-first terminal / CLI tool for LLM collaboration


value: viewmodifier

value: Show HN: Swift Interpreter and WASM - Write and Run Swift in Browser

author: viewmodifier


value: upperhalfplane

value:
Hi there! We're Andrew and Clément and we decided to make a game to understand better how LLM process and compress information. So we made a sort of reverse prompting game with constraints: try to find a prefix to a given story, and see how many bits of cross-entropy (xent) are removed from a text with that prefix (as seen by GPT 2). This leads to cool and creative solutions!
It's also interesting to find how high the scores can go and to see the solutions of other users.<p>Enjoy!

value: Show HN: Xent Game: help GPT2 minimize its surprise

author: upperhalfplane


value:
The resulting assembler code runs on standard Go movable stacks. This is another way how to avoid the cost of CGo Go<->C context switch. However, as no silver bullets exist, the cost of running on movable stacks is not gone in full. It have shifted to the additional handling of goroutine-local allocations for addressable local variables.
The purpose of this experiment is to compare the modernc.org/ccgo/v4 and qbecc approaches with respect to resulting performance differences, if any.
The proof of concept has reached v0.1.0.

value: Show HN: Qbecc is a C compiler producing Go(Golang) ABI0 assembler


value: galenmarchetti

value:
Hi,
I’m a cofounder of AstroBee and I wanted to share our work with the community.
AstroBee is an automatic semantic layer generator for your business. It brings data together from different locations, storing it either in your data warehouse or in one we host. Then, AstroBee scans your data and models it to create an integrated source of truth (we call it an ontology because it’s structured like Palantir’s ontology). Once you have your source of truth, you can either build applications on top of it, or chat with directly to answer analytics questions.
If you don’t like AstroBee’s original suggestions, you can provide your own context and define your semantic layer as you wish. Then, AstroBee will hydrate your semantic layer definition your data.
We imagine AstroBee can become the data layer for AI-generated internal applications. While it’s easier than ever to spin up light internal apps with “vibe-coding” tools, getting an integrated and reliable data layer to service those applications is more complicated.
You can try it out on demo data or upload your own if you want. Would love your thoughts and feedback if you’re willing to try it out!

value: Show HN: AstroBee – AI-Generated Semantic Layers

author: galenmarchetti


value: emanueledpt

value:
Hi HN,
3 months ago I built indiedevs.me as a simple way for developers to showcase projects, track engagement, and claim a personal portfolio page (like indiedevs.me/username).
It grew from a side project into something 90+ devs started using to posting their projects, getting seen, and engage with others.
Why I built it: existing “link-in-bio” tools felt generic. I wanted something developer-first: project showcases, visit counts, click metrics, a project feed and a place where developers are discoverable based on skills.
Basically, a lightweight hub where devs could share what they’re building and see real feedback.
What’s new in 2.0 This update goes beyond portfolios into more of a developer community. Highlights:
* Skills & discovery – Add structured skills (TypeScript, React, Python, etc.) so employers/collaborators can find you
* Feed redesign – better project discovery and search
* CV integration – upload/manage your resume alongside your profile
* Email & repo showcase – integrated communication + cleaner GitHub project display
* Analytics improvements – clearer profile performance
* Golden badge system – recognition for early adopters
* (Soon) profile backgrounds – light customization
Where it’s heading Next up:
* Project upvoting
* Follow/following dynamics between developers
* Simple posts to share updates
The long-term vision is to build “the next indie developer community” – part portfolio, part social layer, designed for devs who want to showcase, connect, and collaborate without drowning in noise.
Would love feedback from HN:
* Is this something you’d actually use as a dev?
* What features matter most for you in a developer-focused community?
 https://indiedevs.me

value: Show HN: IndieDevs 2.0 – Developer community and Portfolio Builder

author: emanueledpt


value: Codegres

value: Made an attempt to List 132600+ Flash Games from across the Internet. Gave Support for Flash native rendering via Ruffle.<p>May take 5-10 seconds to load

value: Show HN: 132600 Flash Games Archive

author: Codegres

title: Show HN: 132600 Flash Games Archive


value: sumanthchary

value:
I built LegalDeep AI after spending $800 on legal review for a simple partnership agreement. The lawyer found 3 risky clauses in 2 hours that my AI now identifies in 12 minutes.
What it does:
Scans contracts and legal documents for risks
Identifies problematic clauses with 95% accuracy
Provides plain-English explanations of legal risks
Suggests safer alternative language
Works completely offline (no sensitive data uploaded)
Technical details:
Built with React/Node.js + Python AI backend
Trained on 10K+ legal contracts and case law
Uses fine-tuned language models + legal knowledge graphs
SOC 2 compliant infrastructure
Processes PDFs, Word docs, and plain text
Why this matters:
Legal review costs $200-500/hour. Small businesses either skip it (risky) or pay thousands (painful). This makes legal protection accessible to everyone.
Current traction:
127 legal professionals in beta testing
$2.1K MRR after 6 weeks
Average time savings: 91% vs manual review
Works with contracts, NDAs, employment agreements, leases
Try it: https://legaldeepai.netlify.app (free during beta, no signup required)
The most surprising finding: 70% of users aren't lawyers - they're entrepreneurs and small business owners who couldn't afford proper legal review before.
Looking for feedback on:
What legal documents cause you the most headaches?
What would make you trust an AI with legal analysis?
How do you currently handle contract review?
Happy to answer questions about the tech stack, training data, or legal accuracy validation.

value: Show HN: AI that reviews legal contracts in 12 minutes instead of 2 hours

author: sumanthchary


value: uaghazade

value: Show HN: I built SupaRedd, Reddit marketing with power of human-like AI

author: uaghazade