value: datechdad

value: Built a small open-source protocol that makes GPT-4 reply with curated image memes, using Python image rendering and prompt sentiment. Lightweight, zero plugins.

value: Show HN: GPT-4 responds with memes based on emotional triggers (ILL Protocol)

author: datechdad


value: GainTrains

value:
Hey HN,
I built HealthBuddy because I was overwhelmed by conflicting advice on how to lose weight and get healthy. Between influencers, TikToks, and Reddit threads, it felt like more noise than clarity.
So I created an AI-powered site where you can ask questions like:
“How do I actually lose fat sustainably?”
“What’s a beginner gym plan?”
“What’s a decent meal plan for bulking?”
“How do I stop late-night snacking?”
“How much sleep do I need if I’m training?”
It's built using GPT-4 with prompts tuned specifically for health, nutrition, fitness, and sleep. Answers are structured to be clear, science-backed, and actionable — no fluff or one-size-fits-all replies.
A few extra features:
Search bar for common health topics (e.g. bulking, meal timing, hydration)
Saved chat history (after first use)
Lightweight UI, mobile-friendly
No login required
Would love any feedback from you all, especially around UI, accuracy, and feature ideas.
Try it here: https://healthpalai.netlify.app
Thanks for reading!

value: Show HN: I built an AI to answer health, diet, and fitness questions

author: GainTrains


value: madebywelch

value: I built an app that matches users to exclusive Discord communities based on a 25-question personality quiz. Inspired by HEXACO but with a novel fuzzy-clustering twist, it creates a "harmony genome" to gate access, ensuring tight-knit tribes (e.g., wellness or creative niches). Think Reddit but curated via psych. Launched to test the idea—feedback on algo, niches, or scaling?

value: Show HN: VibeKin – Gated Discord Tribes via Personality Matching

author: madebywelch


value: yeeyang

value: Show HN: AI Dognames Generator is built all by Claude Code in 24hrs without code

author: yeeyang


value: speakguru

value:
I’ve built a Streamlit-based MVP that helps recover value from damaged or rejected goods using a structured platform for:
Goods intake & Assisted valuation
Logistics services (warehousing, packaging, trucking)
Supply Chain Finance decision engine
The idea came from observing how exporters discard or abandon goods after rejection. We saw an opportunity to add value using technology, logistics coordination, and finance.
Right now it’s an MVP, not fully polished, but it showcases the full flow from damaged goods to finance and potential resale.
Would love feedback.
How we’ve approached valuation and logistics
Any ideas to make the auction or credit system better
Whether this has use beyond shipping ports (e.g., FMCG, agri, electronics)
I'm not a developer. I'm a functional person. Built the tool with the help of AI.
Live demo: https://dge-complete-module.streamlit.app

value: Show HN: MVP for International Trade

author: speakguru

title: Show HN: MVP for International Trade


value: awormuth

value:
Hey HN, I’m Alex, a triathlete, dad, and software engineer.
I’ve been building Transition — an app for triathletes that creates adaptive training plans based on your goals, schedule, and workout data (Garmin, Strava, etc).
Most plans are static, which never really worked for me as a parent and someone with an unpredictable schedule. Transition adjusts every week using your actual workouts and progress, so the plan changes when you miss a session, set a new PR, or need to shift your priorities.
I built this because nothing else was flexible enough for my life, and I’m curious if others have the same problem.
It’s in beta and free to try. I’d love feedback from the HN crowd — especially around the training logic, onboarding, or any ways to make it more useful for real athletes.
Website: https://www.transition.fun/

value: Show HN: Transition – AI Triathlon Coach

author: awormuth


value: jmmv

value:
Hello all!
A month ago, I announced of a "little box" I've been working on to run EndBASIC, similar to the machines we played with in the 1980s. The box was briefly discussed in https://news.ycombinator.com/item?id=44253065 and I wasn't quite ready to properly launch it.
Today, I'm still not ready to actually build and ship this box myself as I was previously thinking (and I'm not sure I'll even try to embark on that journey!), but I have finished preparing DIY instructions to build your own little machine.
AND, as part of this, I've released the disk image with the tailored OS for the Raspberry Pi to run a BASIC system right at boot. In case you are curious, the OS is, essentially, a minimal NetBSD system customized with a build of the EndBASIC interpreter that leverages NetBSD APIs directly, bypassing the need for X11 to offer you a console very early in the boot.
Links for the downloads in the instructions page!
Hope you enjoy it.

value: Show HN: EndBOX DIY Kit – A Basic Microcomputer

author: jmmv


value: artiomyak

value: Show HN: Decode Base 64

author: artiomyak

title: Show HN: Decode Base 64


value: mlboy

value:
EdgeLLM is a Swift Package that embeds Qwen‑0.6 B, Gemma‑2 B and
Phi‑3.5‑Mini into a single 300 MB XCFramework.
One line in Package.swift, no runtime download, works in Airplane
Mode. Benchmarks: 32/18/15 tok/s on iPhone 15 Pro.
Apache‑2.0, BYOM supported. Roadmap includes 10 MB runtime + Android.
Happy to answer questions!

value: Show HN: EdgeLLM – 3 offline LLMs for iOS in one SwiftPM line

author: mlboy


value: ProgrammerByDay

value: A suite of dev tools (YAML, JSON, Markdown, regex, csv, etc.) that run entirely in-browser – no tracking, all private.

value: Show HN: DigitalToolPad – privacy-first, locally-run developer tool suite

author: ProgrammerByDay


value:
Hi everyone!
I'm excited to share OS Yamato, a minimalist experimental operating system I've been developing solo over the past 3 months, inspired by the Japanese philosophy of wabi-sabi (simplicity, impermanence, quiet beauty).
Unlike typical operating systems that focus on endless storage and engagement, OS Yamato is designed as a "digital garden" — data blooms and fades, and everything eventually returns to the wind if left untouched (auto-deletes after 365 days).
Key concepts
- Data fades if left untouched (notes, photos, contacts, chats)
- Seasonal and poetic animations for each interaction
- No ads, no infinite scroll — designed to let you breathe
Tech stack
- Frontend: Vue 3 + Vite
- Backend: AWS Amplify (Cognito, AppSync, DynamoDB, S3)
Anyone can try it directly
Website (live demo): https://hanaco875.com
I’m also continuously adding features (like ad-free AI search).
I’d love feedback or thoughts from fellow builders and wanderers!
Thanks for reading!

value: Show HN: OS Yamato – A gentle digital OS inspired by wabi-sabi


value: alexreysa

value:
Hi HN,
I'm Alejandro. For the past year, I've been building [PodFlyy.com](https://podflyy.com), an audio-focused alternative to Google's NotebookLM with simplicity, speed, and a better learning experience at its core.
I started PodFlyy long before NotebookLM was a thing, but now I'm hitting some tough realities. API costs, especially for text-to-speech, have grown significantly. Being an iOS app, I won't get paid until after Apple's 45-day payout period, creating a large cash flow gap. I've bootstrapped up to this point and currently have zero budget left.
My original vision was to empower anyone to instantly create audio content they'd love to listen to themselves, without setup or friction. Along the way, though, I've added several education-focused features like mindmaps, quizzes, and synchronized transcripts, which now complicate how I position the app clearly.
Here's what's unique about Podflyy at this point:
1. Single voice hosting No awkward multi-character interactions. Similar to a clear, natural audiobook or solo podcast.
2. Very fast audio generation Generates up to 60 minutes of content in roughly 60 seconds.
3. Zero setup required Just tell PodFlyy what you want to learn about, and it takes care of the rest. No need to upload or input documents.
4. Designed for effective learning Episodes include quizzes, mindmaps, and (soon) personalized audio tutors to help information retention.
5. Community-powered content discovery Episodes are categorized and searchable through a public community library, making it easy to discover topics others are exploring.
6. Visual storytelling Automatically generated visuals to supplement audio episodes, ideal for visual learners and easy content sharing.
7. Multilingual at its core The entire content creation process is natively multilingual. Ask something in Spanish, and PodFlyy researches, plans, and produces it entirely in Spanish. Same goes for French, German, Portuguese, and others.
8. Word-level synchronized audio transcripts (initially built for language learners) Text syncs word-by-word with audio playback, making pronunciation practice and learning new languages easier.
Despite all this progress, I'm currently feeling overwhelmed and unsure about next steps. I'd appreciate the community's candid perspective:
- Am I onto something promising here, or am I missing the mark? I feel strongly about PodFlyy's potential, but I struggle to effectively position and communicate it.
- How can I best overcome the cash flow challenge? Should I consider actively seeking investment, or continue bootstrapping somehow?
- Am I just losing time by trying to compete against NotebookLM? Google can afford to offer their version for free—I can't directly compete on pricing for long.
- Should I simplify messaging and fully embrace the education angle, given the educational features I've built (quizzes, mindmaps, language support)? Or should I stick closer to the original vision of user-created, instant audio storytelling?
Honest insights and advice would be massively helpful. Thank you!

value: Show HN: Built Podflyy.com, a NoteBookLM Alternative

author: alexreysa


value: RohitPModani

value:
I built xutil.in, a growing collection of simple, fast, and ad-free developer utilities—all bundled into a single site. It started as a weekend project when I got tired of juggling multiple tools from random websites with slow UIs or annoying popups.
Currently includes tools like:
JSON/XML/YAML converters
JWT decoder
Hash generators (SHA-256, etc.)
Base64/ROT13 encoders
QR code generator
Timezone converter
LeetSpeak & Pig Latin translators
...and more than 25 others
Everything works client-side. No login required. No tracking. No dark patterns.
Would love feedback, feature suggestions, or tool requests. This is my attempt at a “Swiss Army knife” for devs and students who just want stuff to work.
Thanks!

value: Show HN: XUtil – 40+ fast, privacy-friendly developer tools (no ads, no fluff)

author: RohitPModani


value: rahulbstomar

value:
I built a simple tool to help YouTube creators quickly generate relevant tags based on their video title or topic. No login required, no ads, no clutter — just a clean UI that gives you SEO-friendly tags with one click.
Why it might be useful:
Helps improve video discoverability
Saves time manually researching tags
One-click copy to clipboard
Works on desktop and mobile
Completely free
Would love feedback, suggestions, or any edge cases I might’ve missed.
Tool URL - https://goonlinetools.com/youtube-tag-generator/

value: Show HN: Free YouTube Tag Generator to Improve Video SEO

author: rahulbstomar


value: Show HN: A simple old school news website


value: jawwadjamiu

value:
Hi Hacker News
I’ve been working on Sage-AI and am excited to share it with the community.
What is Sage-AI?
Sage-AI: Is an AI-driven writing assistant designed to help creators, marketers, and students write better, faster, and smarter. It adapts to your writing style, remembers your brand voice, and generates high-quality content in seconds.
Features of Sage-AI:
AI-generated writing templates for blog posts, emails, social media, and more.
Multilingual support for global content creation.
Brand voice memory that adjusts to your tone over time.
Team collaboration for group projects, assignments, or business teams.
Long-form content generation — not just short snippets.
Automatic segmentation for targeted email campaigns.
Why did I build it?
I started Sage-AI out of frustration with existing tools. As a student/entrepreneur/content creator, I wanted a tool that would save me time while still helping me maintain high-quality output. Traditional tools didn’t cut it, so I built Sage-AI to be smarter, easier to use, and affordable for all users.
Current Status:
Beta launch
Collecting feedback and feature requests from early users
Join the waitlist [https://sage-ai-waitlist.vercel.app]
Feedback:
I’d love to hear any feedback, suggestions, or thoughts on how we can improve.
If you’re looking to boost your writing productivity or supercharge your email marketing, feel free to join the waitlist for early access to Sage-AI.
[https://sage-ai-waitlist.vercel.app]

value: Show HN: Sage-AI – AI-Powered Writing Assistant

author: jawwadjamiu


value:
Hi Hacker News
I’ve been working on MailTion and am excited to share it with the community.
What is MailTion ?
MailTion is an AI-powered email marketing tool built to help small businesses, students, and entrepreneurs create, automate, and optimize email campaigns quickly. It offers real-time collaboration, AI-generated content, and advanced segmentation for improved engagement.
Features of MailTion:
AI-generated writing templates for emails.
Multilingual support for global content creation.
Brand voice memory that adjusts to your tone over time.
Team collaboration for group projects, assignments, or business teams.
Long-form content generation — not just short snippets.
Automatic segmentation for targeted email campaigns.
Why did I build it?
I started MailTion out of frustration with existing tools. As a student/entrepreneur/content creator, I wanted a tool that would save me time while still helping me maintain high-quality output. Traditional tools didn’t cut it, so I built MailTion to be smarter, easier to use, and affordable for all users.
Current Status:
Beta launch
Collecting feedback and feature requests from early users
Join the waitlist [https://mailtion-waitlist.vercel.app]
I’d love to hear any feedback, suggestions, or thoughts on how we can improve.
If you’re looking to boost your writing productivity or supercharge your email marketing, feel free to join the waitlist for early access to MailTion.
[https://mailtion-waitlist.vercel.app]

value: Show HN: MailTion – AI-Powered Email Marketing for Businesses


value: Show HN: Microsoft official MCP for documentation and more


value: Show HN: Reviving a 20 year old OS X App


value: getToTheChopin

value:
I'm creating a fitness game on the web, where you do exercises to save pets
Here's a live demo (camera access required): https://www.funwithcomputervision.com/chinup/
I've added push-up mode as well, and you can choose whether you want to rescue cats or dogs :)
Tech stack: mediapipe computer vision (body pose tracking model), threejs, tonejs
I'm actively working on this, so please let me know your feedback / other exercises you want added!

value: Show HN: I made a game which forces me to workout (do a chin-up, save a cat)

author: getToTheChopin


value: patrikstarck

value: SejHey was born out of frustration with overpriced localization tools like Phrase, Lokalise, and Crowdin. We built a faster, smarter, and way more affordable platform — packed with all the features developers need, without the bloat or investor pressure. No middlemen, just pure dev-driven focus.

value: Show HN: SejHey – I built a complete localization platform

author: patrikstarck


value: NikoNaskida

value:
Hey HN, I’m Niko.
I’ve built ThumbnailPilot - a platform for creating, editing and previewing viral thumbnails and titles.
The idea is simple: You import reference images or upload your face, and we create thumbnails for you.
After that you can go edit it with out AI powered image editor, or create titles for it.
What's more you can preview it in real-time youtube feed to make sure it stands out and outperforms competitor thumbnails!
Check out the examples landing page!

value: Show HN: I built this AI tool to replace my thumbnail guy and save hours of work

author: NikoNaskida


value: Show HN: Run your venture capital fund on Claude via Taghash MCP Server


value: freakynit

value: Show HN: Private browser based vector similarity search tool

author: freakynit


value:
Title:
HardView – Cross-platform Python module for hardware info (120+ fields, native performance)
Post Text:
I've been building a hardware/system information module in Python called HardView, and just released version 3.0.0. It’s designed to offer detailed, structured, and high-performance access to hardware data — kind of like lshw, dmidecode, or Windows WMI queries — but from Python and in a consistent cross-platform API.
It supports both Linux and Windows, extracting over 120 hardware and performance metrics (BIOS, CPU, RAM, Disks, SMART, Network, etc.). You can get the data either as JSON strings or Python objects.
Some highlights:
Detailed Data: CPU architecture, disk SMART attributes, RAM modules, partitions, baseboard, and more.
Native Performance: Core parts are written in C for speed.
Live Monitoring: Real-time CPU and RAM usage over time.
Pure Python API: Easy to plug into existing apps and scripts.

value: Show HN: HardView – Cross-platform Python module for detailed hardware info


value: ardakaan

value: Show HN: A clean popup tool to nudge users without annoying them – now free

author: ardakaan


value: cogencyai

value:
Yesterday I built something that probably shouldn’t exist yet. In 9 hours, I created a cognitive architecture demonstrating emergent reasoning.
It follows a 5-step loop: Plan → Reason → Act → Reflect → Respond. Adding a WebSearchTool to test extensibility, the agent initially failed its first search, reflected on poor results, adapted its query, and then succeeded. This behavior wasn’t programmed; it emerged naturally from the architecture.
Five hours later, I integrated a FileManagerTool — it worked on the first try. Like code compiling first time, except this was intelligence composing zero-config.
Key insight: separating cognitive operations from tool orchestration enables true composability. Most frameworks conflate these, resulting in brittle, unpredictable agents.
Commit timeline: https://github.com/iteebz/cogency
It’s pip-installable (pip install cogency) with production-ready components. Currently dogfooding across projects.
Seeking feedback from the community on the approach and implementation.

value: Show HN: Cogency – Cognitive Architecture for AI Agents

author: cogencyai


value: devadityb

value: Wondering if Anyrouter.top is legit? In this hands-on review, we test their $110 free Claude API credits, evaluate security concerns, and show how to use them with Claude Code CLI and Windsurf.

value: Show HN: Is Anyrouter.top Legit? Testing Free Claude API Credits for Developers

author: devadityb


value: How I built a private messaging platform using GitHub commits and why your team conversations belong in your repository

value: Show HN: Gitwhisper: An app to convert GitHub into a private messaging app


value:
I’ve been using AI to generate some repetitive frontend (guilty), and while most outputs felt vibe-coded, some results were surprisingly good. So I cleaned it up and made a ranking game out of it with friends, and you can check it out here: https://www.designarena.ai/vote
/vote: Your prompt will be answered by four random, anonymous models. You pick the one you prefer and crown the winner, tournament-style.
/leaderboard: See the current winning models, as dictated by voter preferences.
/play: Iterate quickly by seeing four models respond to the same input and pressing space to regenerate the results you don’t lock-in.
We were especially impressed with the quality of DeepSeek and Grok, and variance between categories (To judge by the results so far, OpenAI is very good for game dev, but seems to suck everywhere else).
We’ve learned a lot, and are curious to hear your comments and questions. Excited to make this better!

value: Show HN: DesignArena – crowdsourced benchmark for AI-generated UI/UX


value: mateovalle

value:
So I've been working on this thing called Obelis AI. Basically, I got tired of seeing startups (including my own previous ones) completely ignore infrastructure until it becomes a pain later.<p>What if you could get that same "just works" experience but on your own AWS account? That's what we're trying to build. AI handles the DevOps headaches, you keep control of your stuff.
Still pretty early (beta stage), but I'd love to hear what you think. Especially if you think it's a terrible idea - those are usually the most helpful comments.

value: Show HN: AI-powered DevOps for early-stage teams

author: mateovalle


value: Built with Claude Code. Could've take few days without Claude. But done in couple of hours.

value: Show HN: Simple habit tracker with Claude Code


value: Show HN: Manage your small business with this simple ERP


value: defcc

value:
I built PregnancyDue.date — a clean, fast, and mobile-friendly set of tools to help people calculate pregnancy-related milestones.
Features include:
- Due Date Calculator
- Week-by-Week Pregnancy Info
- Ovulation & Fertile Days Tools
- Pregnancy Test Timing Helper
It's entirely free, no signup needed, and privacy-focused (no tracking, no ads).
I made this because most similar tools are either full of ads or overly complicated. I'd love feedback from you!
Thanks!

value: Show HN: PregnancyDue.date – Simple tools for pregnancy due date calculation

author: defcc


value: ilamparithi

value:
Hi HN,
As a non-native speaker, I improved my vocabulary by reading English novels. At the time, it felt like a clever hack. It was hard and sometimes took me hours to read a single page(because I had to constantly look up words), but I pushed through because I enjoyed reading, especially fiction. I would never have put in the same effort to create flashcards or word lists and then memorize words. Learning works for me when it becomes a side effect of something engaging. Even now, if I want to learn a new programming language or framework, I skim the basics, pick a small project, and learn while building it rather than going through elaborate tutorials.
Coming back to vocabulary, while reading books worked well for me, I realize it doesn't work for everyone. Many people don’t enjoy reading even in their native language. When they see a wall of text, they instantly switch to TLDR mode. I've always been interested in novel ways of learning instead of rote memorization. I especially wanted to help vocabulary learners because the method I used truly worked for me. Also, the ability to read English effortlessly opened many doors for me.
My idea was to help users learn words in real context, focusing on the context first rather than on individual words like flashcards do. But instead of longer texts or books, the context should be bite-sized and engaging. I had tried to build small apps and prototypes around this idea in the past, but they didn’t work well enough. The arrival of LLMs changed everything. If they are good at one thing, it’s generating text. I experimented a bit, the results were promising, and I finally developed this app.
The idea is simple. Users read a short passage and try to understand it. When they encounter unfamiliar words, they can guess their meanings. Below the passage, users can check whether their guesses were right. Irrespective of whether they get it right or not, they get a memorable context that makes the word stick far better than flashcard-based memorization. As they read more passages, the same words show up in different contexts, which helps the words stick without the need for forced spaced repetition.
There is an option to pick specific categories and learn words related to topics like Architecture, Legal Terminology, Test Prep (GRE,TOEFL,GMAT,IELTS,SAT) and many others. There is also an advanced mode for slightly more complex passages. By default, the content is beginner-friendly.
Use cases:
Language learners who want to improve their vocabulary,
Hobbyists who enjoy learning new words,
Students preparing for exams like GRE/GMAT/IELTS,
Writers looking to build topic-specific vocabulary,
Anyone wanting to improve reading skills through regular practice
Flashcards seem to work for a lot of people(at least in the short term), which is why those apps are so popular. But if you haven’t had much success with traditional methods, you might find this app useful. Just reading a few passages every day could make a difference. There’s a nice side effect too: if you’re into trivia, you’ll pick up lots of interesting facts along the way.
I also came across this recently (after building the app): https://www.reddit.com/media?url=https%3A%2F%2Fi.redd.it%2Fc.... It felt like validation for the method I discovered on my own.
Quick Note: I understand that requiring an account to try the app is a bit of a hurdle. Since LLM credits are involved and I’m running this on a tight budget, I couldn’t provide a public demo. You can use any non-existent email address to register and try it out if you're concerned about privacy.
Would love to hear your thoughts if you give it a try.
- Ilamparithi

value: Show HN: GrokVocab – I Built a Vocabulary App Without Flashcards or Memorization

author: ilamparithi


value: alessandro-a

value:
Hi HN!
I’m the developer of Elara, a tool that automatically scans your code for security issues like misconfigurations, secrets, and risky packages, so you can focus on building without stressing about all this stuff. It’s designed to be simple and fast.
I see so many people launching products online without even knowing what security risks they might have.
If you’re a developer or into tech, you know how hard it is to keep systems safe. Yet shockingly it feels like nobody really cares.
I want to help folks catch these issues early, before they get burned.
Elara runs multiple security scanners simultaneously, aggregates the results into a single interface, and gives you an actionable to-do list to fix the problems.
It’s super simple to try, just log in with GitHub and see for yourself.
Would really appreciate your feedback!

value: Show HN: I automated code security to help vibe coders from getting busted

author: alessandro-a


value: Ported this in an evening because the policy finally kicked the bucket in my Chrome install. It works reasonably well and I haven't found any issues with stability or importing external rules yet.

value: Show HN: uBlock-Mv3 – Port of Full Manifest V2 uBlock Origin to Manifest V3


value: garmiter

value:
I built a simple daily horoscope site as a side project. Most sites I tried felt heavy and cluttered, so I wanted to see how lightweight and fast I could make one.
It’s designed to be minimal:
Loads under 1 second, even on slow connections
Mobile-first UI
Horoscope data pre-generated daily and served as static JSON
Stack: Next.js (frontend), Tailwind CSS, Cloudflare Workers (API proxy + caching), and hosted on Vercel. A cron job updates the data daily.
I’m curious:
Is it too minimal, or does it work as intended?
Would you find value in weekly/monthly readings?
Any ideas to improve performance or UX?

value: Show HN: A fast, minimal daily horoscope site built with Next.js

author: garmiter


value:
Hi HN,
I’m a recent CS graduate.
During the past few months I wrote BinaryRPC, an open-source RPC framework in modern C++20 focused on low-latency, binary WebSocket messaging.
Why I built it
* Wanted first-class session support, pluggable QoS levels and a simple middleware chain (global, specific, multi handler) without extra JSON/XML parsing.
* Easy developer experience
A quick feature list
* Binary WebSocket frames – minimal overhead
* Built-in session layer (login / reconnect / heartbeat)
* QoS1 / QoS2 with automatic ACK & retry
* Plugin system – rooms, msgpack, etc. can be added in one line
* Thread-safe core: RAII + folly
Still early (solo project), so any feedback on design, concurrency model or missing must-have features would help a lot.
Thanks for reading!
also see "Chat Server in 5 Minutes with BinaryRPC": https://medium.com/@efecanerdem0907/building-a-chat-server-i...

value: Show HN: BinaryRPC – Lightweight WebSocket-based RPC framework in modern C++


value: lappa

value: Show HN: Train Block Diffusion Models on Consumer Hardware (RTX 4090) in Hours

author: lappa


value: eugenegusarov

value:
I built this out of frustration as I lead the development of AI features at Yola.com.
Prompt testing should be simple and straightforward. All I wanted was a simple way to test prompts with variables and jinja2 templates across different models, ideally somthing I could open during a call, run few tests, and share results with my team. But every tool I tried hit me with a clunky UI, required login and API keys, or forced a lengthy setup process.
And that's not all.
Then came the pricing. The last quote I got for one of the tools on the market was $6,000/year for a team of 16 people in a use-it-or-loose-it way. For a tool we use maybe 2–3 times per sprint. That’s just ridiculous!
IMO, it should be something more like JSFiddle. A simple prompt playground that does not require you to signup, does not require API keys, and let's experiment instantly, i.e. you just enter a browser URL and start working. Like JSFiddle has. And mainly, something that costs me nothing if I'm or my team is not using it.
Eventually I gave up looking for solution and decided to build it by myself.
Here it is: https://langfa.st
Help me find what's wrong or missing or does not work from you perspctive.
P.S. I did not put any limits or restrictions yet, so test it wisely. Don't make me broke, please.

value: Show HN: I made a JSFiddle-style playground to test and share prompts fast

author: eugenegusarov


value: jaidenlee

value:
Hi HN,
I'm Jaiden, a rising 3rd-year CS student at GT.
I was previously working on an idea called Projectile, which was an AI agent that integrates with Jira (think like taking meeting recordings and auto updating Jira, refining existing tickets, and cleaning up stale tickets).
However, I ran into constant friction trying to get the Jira integration to work, so I built Juncture, a project dedicated to make working with Jira's API and Jira integrations easier.
Juncture consists of an express backend (handling authorization and common integration flows), a TypeScript SDK (to interface with the backend), and a small frontend (for verifying a Jira connection after it's been created).
I would love to hear any feedback or suggestions, or if this is something anyone would genuinely find useful (since this is pretty niche I'd say).
Thanks for reading!

value: Show HN: Juncture – Simplify building Jira integrations

author: jaidenlee


value: almendili

value: Show HN: Telescope – Discover the best recommendations from the best curators

author: almendili


value: goodpanda

value: I have been tinkering with this simple lib to just separate prompts from code. no extra deps. should work in any node backend. let me know if you try it.

value: Show HN: dotpmt – Manage Prompts Better

author: goodpanda

title: Show HN: dotpmt – Manage Prompts Better


value: iboshidev

value: Show HN: Noggn AI – like TikTok but educational

author: iboshidev


value: omneity

value: Show HN: BorgLLM, Zero-config LangChain Client, key rotation and rate limit mgmt

author: omneity


value: eiskalt

value: Show HN: An educational Local Qwen3 LLM Inference project written in Rust

author: eiskalt


value: nistuley

value: Show HN: Build web forms in rich text

author: nistuley

title: Show HN: Build web forms in rich text


value: kingvyn

value:
Hi HN!
I recently built a simple, rechargeable wall lamp that doesn't require any tools, wires, or drilling. It sticks to surfaces using adhesive pads, rotates 360°, and charges via USB-C. The goal was to make lighting *super minimal, renter-friendly, and easy to install*.
The idea came from personal frustration — I live in a rented apartment where I can’t drill holes, and I wanted a modern-looking light I could reposition easily.
I know this isn’t a software product, but I figured some of you might appreciate the problem-solving side of it — designing minimal hardware that’s useful, elegant, and simple. Would love feedback on the product or the landing page:
Happy to answer any questions about the design, battery, lighting specs, remote control logic, etc.
Thanks!

value: Show HN: I Built a Stick-On Wireless Lamp That Installs in 30 Seconds

author: kingvyn


value: getToTheChopin

value:
This uses mediapipe AI vision to detect when the player has proper plank form (knees-hips-shoulders in a horizontal line, elbows low)
Also using threejs for visuals and tonejs for audio
It runs in real-time in the browser, using a regular laptop + webcam
Live demo: https://www.funwithcomputervision.com/chinup/
You can track chin-ups, push-ups, or planks. I will continue to add more exercises into the game
Any feedback would be appreciated!

value: Show HN: Planking for penguins, a real-time exercise tracking game

author: getToTheChopin


value: anaempromptu

value:
Hey HN! We're Empromptu.ai, an AI app builder that builds AI apps (RAG, models, evals all built in every app) Demo: https://www.youtube.com/watch?v=w25XhUaPfls
We started Empromptu after burning through thousands of credits on AI builders and hitting the same problem: cool looking prototypes or demos that break with real users.
The issue wasn't the building process, it was accuracy. Most AI applications plateau at 60%~ reliability, which is fine for prototypes but it's unusable in production. We realized these tools aren't really "AI app builders", they're website builders that happen to use AI.
We wanted to solve the hardest problem first: making AI applications actually work reliably.
Our approach centers on what we call dynamic optimization. Instead of cramming every possible scenario into one massive prompt (which confuses LLMs), our system adapts contextually. A travel chatbot automatically knows to mention LAX for Los Angeles vs. Pearson for Toronto. This consistently delivers 90%~ accuracy versus the industry standard 60%~.
But accuracy alone wasn't enough because we also needed to solve the builder gap:
- Simple builders (Lovable, Bolt): Create static websites, not AI applications
- Complex ML tools: Require dedicated teams most startups don't have (Arize, Voxel51) - we've also heard from both technical and non-technical founders that they found these tools very complex
- What's missing: Tools that build applications where AI is embedded functionality
So we built AI agents with optimization built-in. Users just type what they want to build and our agents handle the full development pipeline: creating applications with embedded models, RAG and intelligent processing. You can deploy to your own infrastructure via Netlify, GitHub or download it directly since you can run it locally.
The result: Startups, solo hackers and enterprises can build production-ready AI apps without hiring a dedicated ML team.
Waitlist: https://empromptu.ai
We'd love feedback from the HN community — esp. if you've hit similar accuracy problems or thoughts on the technical approach.

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

author: anaempromptu


value:
Hey HN,
I’m Kanika, and I started GoStudio.ai in Jan’25 from a tiny rented house in Chandigarh (tier-3 city in India). No funding. No team. No CS degree. Just one girl, one laptop, bad internet, and a lot of crying.
What it does:
GoStudio.ai generates professional-looking AI headshots from selfies. For LinkedIn, resumes, bios — without needing a fancy DSLR, good lighting, or being in a big city. You upload 10-15 selfies. It gives you 60+ stunning, realistic portraits.
Why I built this:
I was jobless after 2 unpaid internships. Sent 30+ resumes a day, no replies. Couldn’t relocate due to family. Companies said no to remote. One day, I noticed people judging based on profile photos. I had no money for a shoot, so I learned AI and built my own thing.
In 6 months, we’ve crossed ~$1500 MRR. All cold DMs. All organic. No ads.
Tech stack:
Next.js, FastAPI
Supabase, Vercel Blob, Bunny CDN
Astria API for training models
Built entirely by me — solo — while taking care of home, cooking, family stuff.
What’s next:
Better poses, outfits, backgrounds
Group / couple packs
More affordable pricing for small countries
Just wanted to share this. If you're building from a small place, with small money, and still trying to dream big — I'm with you.
Happy to answer anything.

value: Show HN: Brand Photography Images what present you in 10 mins with AI


value: vrianta

value:
Hey HN,
I’ve been building something quietly over the past few months, mostly to scratch an itch I kept running into while working on personal projects.
It’s called AGAI — a small but growing web framework in Go.
I love Go for its simplicity, but when it came to web dev, I kept bouncing between ultra-minimal router libraries and overly abstract frameworks. I just wanted something that gave me:
Structure without ceremony
Templating that’s flexible but not verbose
Simple data components I can store in JSON or sync to DB
A way to just run the damn thing without a tangle of middleware
So I built this.
Why AGAI?
AGAI gives you:
Model-driven development — define models, auto-sync schemas
A component system — think "JSON configs as database records"
Session support — works in-memory or on disk
PHP-style templates — yes, really. It parses them into Go templates
CLI-friendly: --migrate-model, --start-server, --help, etc.
It’s built for devs who like control but don’t want to reinvent the wheel for every new project. Not trying to replace Echo or Fiber or Gin — just offering another path for those of us who want fewer black boxes.
Still early — but usable
It's currently at v0.2.1. I'm using it on a few small tools and sites of my own. Would love feedback from the HN crowd on the design decisions, especially:
The model/component system
The PHP-style templating syntax (good idea or bad nostalgia?)
What I’m missing that would make it useful in the real world
GitHub: https://github.com/vrianta/agai
 Docs are in the repo (clean + updated)
Thanks for reading — happy to answer questions or hear where I’ve gone totally off the rails.

value: Show HN: AGAI – A minimal, model-driven Go web framework

author: vrianta


value: vincor-qc

value:
I've been playing around with building specialized programming agents recently, and found that there weren't many useful libraries that provided a solid backend for out of the box development.
So I built a general purpose backend for building coding agents here: https://github.com/vincent-qc/cellular-engine
The project is built on top of the gemini-cli, and exposes its backend as an express integration. We provide engine() and stream(), which abstracts exposing the gemini agent, and streaming it across an API, respectively.
Would love your feedback and questions!

value: Show HN: Cellular-engine – ready-to-use backend for building coding agents

author: vincor-qc


value: hedayet

value: I created a simulation based on Paul Graham's legendary Do Things That Don't Scale essay.<p>Any feedback is welcome!

value: Show HN: Do Things That Don't Scale Simulation

author: hedayet


value: omarisbuilding

value:
Hi,
I built this iOS App that would let parents create profiles for my children, plan their meals, put their meal preferences, recipes, lunchboxes, export the plan to their calendar, and share links to the timetable with others, and of course an AI helping with the plan and recipe . For now it has a free plan and also paid plan. Initially i built this as a web app but then after feedbacks from close people i developed this iOS app. I would really appreciate your feedback.

value: Show HN: I build an iOS App for parents to plan meal, create recipes, lunchboxes

author: omarisbuilding


value:
Hey HN!
This is Adil, Salman and Jose and and we’re behind archgw [1]. An intelligent proxy server designed as an edge and AI gateway for agents - one that natively know how to handle prompts, not just network traffic. We’ve made several sweeping changes so sharing the project again.
A bit of background on why we’ve built this project. Building AI agent demos is easy, but to create something production-ready there is a lot of repeat low-level plumbing work that everyone is doing. You’re applying guardrails to make sure unsafe or off-topic requests don’t get through. You’re clarifying vague input so agents don’t make mistakes. You’re routing prompts to the right expert agent based on context or task type. You’re writing integration code to quickly and safely add support for new LLMs. And every time a new framework hits the market or is updated, you’re validating or re-implementing that same logic—again and again.
Putting all the low-level plumbing code in a framework gets messy to manage, harder to update and scale. Low-level work isn't business logic. That’s why we built archgw - an intelligent proxy server that handles prompts during ingress and egress and offers several related capabilities from a single software service. It lives outside your app runtime, so you can keep your business logic clean and focus on what matters. Think of it like a service mesh, but for AI agents.
Prior to building archgw, the team spent time building Envoy [2] at Lyft, API Gateway at AWS, specialized NLP models at Microsoft Research and worked on safety at Meta. archgw was born out of the belief that rule-based, single-purpose tools that handle the work around resiliency, processing and routing prompts should move into a dedicated infrastructure layer for agents, but built on the battle-tested foundational of Envoy Proxy.
The intelligence in archgw comes from our fast Task-specific LLMs [3] that can handle things like agent routing and hand off, guardrails and preference-based intelligent LLM calling. Here are some additional details about the open source project. archgw is written in rust, and the request path has three main parts:
* Listener subsystem which handles downstream (ingress) and upstream (egress) request processing.
* Prompt handler subsystem. This is where archgw makes decisions on the safety of the incoming request via its prompt_guard hooks and identifies where to forward the conversation to via its prompt_target primitive.
* Model serving subsystem is the interface that hosts all the lightweight LLMs engineered in archgw and offers a framework for things like hallucination detection of our these models
We loved building this open source project, and our belief is that this infra primitive would help developers build faster, safer and more personalized agents without all the manual prompt engineering and systems integration work needed to get there. We hope to invite other developers to use and improve Arch. Please give it a shot and leave feedback here, or at our discord channel [4]
Also here is a quick demo of the project in action [5]. You can check out our public docs here at [6]. Our models are also available here [7].
[1] https://github.com/katanemo/archgw
[2] https://www.envoyproxy.io/
[3] https://huggingface.co/collections/katanemo/arch-function-66...
[4] https://discord.com/channels/1292630766827737088/12926307682...
[5] https://www.youtube.com/watch?v=I4Lbhr-NNXk
[6] https://docs.archgw.com/
[7] https://huggingface.co/katanemo

value: Show HN: ArchGW – An intelligent edge and service proxy for agents


value: Tomomasa

value:
We present RBFleX-NAS, a training-free neural architecture search (NAS) framework that leverages an RBF kernel-based scoring mechanism to rank neural networks without training. Unlike traditional NAS methods that consume significant GPU resources, RBFleX-NAS can find high-performing architectures in seconds.
Key Applications:
• Edge AI Deployment: Efficient model search for Raspberry Pi, Jetson, and mobile platforms
• AutoML Integration: Lightweight NAS module suitable for AutoML systems
• Cross-domain Transfer: Supports both vision and NLP tasks (e.g., TransNAS-Bench)
How it works:
Instead of training each candidate network, we score architectures using a Radial Basis Function (RBF) kernel that captures both activation patterns and structural features.
Demo Video:
https://youtu.be/QZz8s95x9xw?si=fqVs7T6no66zz_d5
Code on GitHub:
https://github.com/tomomasayamasaki/RBFleX-NAS
Paper
https://ieeexplore.ieee.org/document/10959729/metrics

value: Show HN: Energy-Efficient NAS via RBF Kernel Scoring (No GPU Training Needed)

author: Tomomasa


value: amulya

value:
Hi HN! We're building Novaflow to help life scientists analyze their experimental data without needing to code.
Life science researchers produce massive amounts of data, but analyzing it typically requires advanced coding skills, specialized knowledge, and heavy computational resources - all of which are in limited supply. The bottlenecks we've seen are striking: small labs spend over $100K/year per analyst while large labs spend millions, yet still outsource analysis due to sheer data volume. Most labs have a 5:1 ratio of experimentalists to analysts, creating constant backlogs.
The core issue is that analyzing biological data requires both extensive coding knowledge and deep understanding of biological context. Most researchers have one or the other, rarely both. Making matters worse, existing tools are often custom-built, poorly maintained, and not scalable. Many researchers are stuck using analysis tools that are 15+ years old.
We built Novaflow to put analysis capabilities directly back in researchers' hands. Here's how it works: researchers upload their raw data files (CSVs, FASTQs, HDF5s), ask questions in plain English like "What genes are most differentially expressed in this file?", and get instant, publication-ready plots. Behind the scenes, we use LLM-powered pipelines that generate and run the appropriate bioinformatics workflows.
The technical challenge is ensuring scientific accuracy. We've built extensive validation systems to ensure the generated code produces reliable results. Every analysis comes with exportable Jupyter notebooks and reproducible Python code, so researchers can verify and modify our approach.
What makes this different from general data analysis tools is the domain-specific understanding. When a researcher asks about differential expression, the system knows to apply appropriate statistical methods, normalizations, and generate the right visualizations - things that would require extensive configuration in generic tools.
We're focusing on life scientists blocked by slow or missing bioinformatics support - academic labs doing genomics, transcriptomics, and proteomics work, biotech companies trying to accelerate R&D cycles with leaner teams, and clinical groups using high-throughput technologies.
We'd love to hear from anyone who's dealt with similar bottlenecks in scientific computing.

value: Show HN: Novaflow (YC S25) – AI Data Analyst for Life Science Researchers

author: amulya


value: oopismcgoopis

value: OopisOS is not a website; it's a complete operating system simulation that runs entirely on your machine. There is no backend server. Every file you create, every user you add, every command you run is processed and stored locally. Your world is yours alone, governed by a robust security model that you control.<p>This project began as a question: Can a complex, stateful, multi-user system be built with nothing but the native tools of the web? The answer is a resounding yes. OopisOS is a living demonstration of what's possible when modern browser capabilities are wielded with disciplined, framework-free architecture.

value: Show HN: I made a private, portable, virtual LLM OS with JavaScript and Gemini

author: oopismcgoopis


value: qwikhost

value: Save Amazon product photos, variant images, and videos. Export image and videos URLs to CSV for easy bulk downloads.

value: Show HN: Amazon Images Downloader – Amazon Image and Video Downloader

author: qwikhost


value: n8n AI Assistant is your AI-powered partner for building, editing, and troubleshooting workflows—all using natural language. Whether you’re a seasoned automation pro, a developer, or brand new to no-code tools, this extension makes working with n8n faster and smarter.

value: Show HN: N8n AI Assistant – N8n Workflow Generator


value: Wayve

value:
We needed a speaker diarization solution that could run every few seconds alongside transcription on iOS and macOS. But native Swift support was either limited or locked behind paid licenses. Since diarization is a common need in speech-to-text workflows, we decided to open source our work and give back to the community.
We initially tried sherpa-onnx, which works, but running both diarization and transcription models slowed down older devices. CPU-only inference just isn’t ideal for near real-time workloads, so we wanted the option to offload segmentation and speaker embedding to the GPU or ANE. Supporting M1 Macs in particular meant pushing more of the workload to the ANE.
Instead of shoehorning the ONNX model into CoreML with C++, we converted the original PyTorch models directly to CoreML. This approach required some monkey-patching in the PyTorch and pyannote code, but the initial benchmarks look promising.
We’d love feedback! We're currently working on adding VAD and integrating Parakeet for transcription, but still wrestling with CoreML model conversion.

value: Show HN: FluidAudio – Swift Speaker Diarization on CoreML

author: Wayve


value: qinggeng

value:
As someone who spends a lot of time on world-building and TTRPGs, I've always found a gap in the tools available. Existing name generators are great at combining syllables based on rules, but they can't capture a feeling or a vibe. You can't ask them for a name that sounds like "an ancient, sunken kingdom."
Nomenus is my attempt to solve this. It's an AI-powered tool built around a single prompt, allowing you to describe the name you want in plain, natural language.
For example, you can ask it for names for "a grumpy but loyal dwarven blacksmith with a secret love for poetry," and it will generate results based on that specific context, often with a bit of lore attached.
The site you see is the first MVP. It's built with Next.js (App Router), Supabase, and runs on Cloudflare Workers.
I'm launching it here on HN to get honest feedback from a community that appreciates how products are built. I'm particularly curious about:
Is the core concept genuinely more useful than traditional generators?
Any thoughts on the UI/UX?
What features or generator types should I prioritize next?
It's completely free to use. Looking forward to hearing what you think!

value: Show HN: A modern alternative to traditional fantasy name generators

author: qinggeng


value: theden

value: Show HN: 0xDEAD//TYPE – A fast-paced typing shooter with retro vibes

author: theden


value:
We've just released what might be the most comprehensive documentation of AI data quality evaluation metrics available. This covers everything from pre-training data assessment to multimodal evaluation.
What's included:
50+ evaluation metrics across text, image, and multimodal data
Academic citations for every metric (RedPajama, CLIP, NIMA, etc.)
Rule-based and LLM-based evaluation approaches
Practical usage examples and API documentation
Key categories:
Text Quality: Completeness, Fluency, Relevance, Effectiveness
Image Quality: Clarity, Similarity, Validity
Security: Political sensitivity, prohibited content, harmful information
Classification: Topic categorization, content classification
This is particularly useful for:
Data scientists working on model training
Researchers needing standardized evaluation frameworks
Anyone dealing with large-scale data quality assessment
The documentation includes detailed academic references and practical implementation examples. All open source and ready to use.
Metrics Link: https://github.com/MigoXLab/dingo/blob/dev/docs/metrics.md

value: Show HN: A Comprehensive AI Data Quality Evaluation Tool


value: jamsays

value: Show HN: An app that tracks when you sleep by detecting your phone inactivity

author: jamsays


value: dahuangf

value:
Hi HN! I built PDF Resume AI (https://pdfresumeai.online/) to help job seekers optimize their resumes for Applicant Tracking Systems (ATS).
The tool analyzes your PDF resume and suggests improvements to increase your chances of passing ATS screening - things like keyword optimization, format adjustments, and content restructuring based on job descriptions.
Key features:
Upload PDF resume and get instant AI analysis
ATS compatibility scoring
Keyword optimization suggestions
Format and structure recommendations
No signup required - just upload and get feedback
I created this after seeing too many qualified candidates get filtered out by ATS before human reviewers even see their resumes. The AI analyzes common ATS pain points and provides actionable suggestions.
You can try it out directly at the link above. I'd love to hear your feedback on the analysis quality and any features you think would be useful!

value: Show HN: PDF Resume AI – AI-powered resume optimizer to beat ATS systems

author: dahuangf


value: Show HN: A 100% Workaround to MV3

title: Show HN: A 100% Workaround to MV3


value: AtomicByte

value: I created a small little discord plugin to search for messages across discord through a reverse-engineered API route

value: Show HN: I made a vencord plugin to search for messages across discord

author: AtomicByte


value: arelive

value: I created a utility that monitors battery charge level, CPU, memory and disk usage, external device connections and disconnections, etc., and sends customizable notifications (e.g. via dunst) based on rules defined in a config file.

value: Show HN: Alertify

author: arelive

title: Show HN: Alertify


value: jblopez

value:
Hi HN,
I built MailDropHQ – a disposable email generator designed for quick use, no signup, and maximum privacy.
No login or tracking
 Inboxes expire in 10 minutes
 Built with Mail.tm API
 Fully responsive and minimal
 No cookies, no analytics, no accounts
Use cases: quick app testing, avoiding spam, signups, burner accounts.
Site: https://maildrophq.com
Code feedback and privacy thoughts welcome.

value: Show HN: MailDropHQ – Free Disposable Email Without Signup

author: jblopez


value:
Hi HN
I built Smart Guardian, a free and open-source Chrome extension that helps families protect children online. It works 100% offline (no data leaves the device) and scans webpages based on customizable keywords (e.g., violence, porn, drugs) and blocks access when needed.
I live in Iran and due to US sanctions, I can’t pay the $5 Chrome Web Store developer fee, so I’m sharing it via GitHub for now.
The extension is lightweight, private, and designed with parents in mind. All feedback and contributions are welcome.
GitHub: https://github.com/RezaeiSaber/Smart-Guardian
release page are available on the repo.
Thank you!

value: Show HN: Smart Guardian – a privacy-first Chrome extension to protect kids


value:
I built InvoiceSplitter to help accountants and bookkeepers save time.
People get those huge PDFs with 50+ invoices in one big PDF, it is annoying to split and rename them manually.
My tool uses AI to detect where each invoice starts and ends, then splits and renames it with custom format (like VendorName_Invoice#_Date.pdf).
What used to take 30–40 minutes now takes 30–40 seconds.
Do let your Accountant and Bookkeepers Friends know about this. It would really help me a lot.
And if you have any feedback, please do share it.

value: Show HN: Invoicesplitter – Split and Rename invoices in seconds


value: yaKashif

value:
I've been frustrated by so many blogging platforms. Last I used Ghost. I thought it was expensive and I hated that www I had to prefix on custom domain.
So, I built https://lykhari.com just for myself and then opened for public.
If you want something simple do try. It became profitable and hence self sustaining!

value: Show HN: I built a entire blogging platform just for myself lol

author: yaKashif


value:
Hey HN,
We built AutoAI – an AI tool that tells you what's wrong with your car in plain English.
Just enter:
Your car’s make/model/year
The OBD2 error codes (optional) (like P0420, P0171, etc.)
Any symptoms you're noticing (e.g. “rough idle” or “weird sound when starting”)
And we’ll tell you:
The most likely issue
How to verify it yourself
Whether it’s a DIY fix or shop-worthy
No more endless Googling or forum-hopping.
 Built for car owners, tinkerers, and pros who want fast, reliable answers.
 Powered by a repair-trained AI using real-world automotive data.
We’re trying to make diagnostics smarter, not replace your mechanic – just make you way more informed before spending money.
Would love feedback or crazy edge-case inputs to improve it.

value: Show HN: We developed an AI tool to diagnose car problems


value: TXTOS

value:
Hi HN,
I'm excited to share TXT OS — an open-source AI reasoning engine that runs entirely inside a single `.txt` file.
- No installs, no signup, no hidden code — just copy-paste the file into any LLM chat window (GPT, Claude, Gemini, etc.).
- +22.4% semantic accuracy, +42.1% reasoning success, and 3.6× more stability (benchmarked on GSM8K and Truthful-QA).
- Features Semantic Tree Memory, Hallucination Shield, and fully exportable logic.
- MIT Licensed, zero tracking, zero ads.
Why did I build this?
I wanted to prove that advanced reasoning and memory could be made open, portable, and accessible to anyone — just with pure text, no software or setup.
A note:
I'm from China, and English is not my first language. This post and the docs were partly assisted by AI, but I personally reviewed and approved every line of content. All ideas, design, and code are my own work. If anything is unclear or could be improved, I really welcome your feedback!
I'm the author, and happy to answer any questions or suggestions here!

value: Show HN: TXT OS – Open-Source AI Reasoning, One Plain-Text File at a Time

author: TXTOS


value: Galorious

value:
HNping lets you set a reminder for a HN post. You get a web push browser notification when it's time, and clicking it takes you back to the post. That's it.
I built HNping because I kept stumbling on HN posts where the discussion still had to get going. Wanted to revisit, but didn't want to create even more bookmarks/etc I'll just forget about. So I created a 'remind me later' tool (like the reddit bot) to fix this for myself.
To use it: go to hnping.com, enable notifications, and drag the bookmarklet to your bookmarks bar. Then click it on any HN post to set a reminder (5 minutes to 1 week). No personal info needed - you just get a UUID that serves as your account.
I tried to make it as simple as possible.
It's built on a Cloudflare Worker with D1 for data storage and uses Firebase Cloud Messaging for push notifications.

value: Show HN: HNping 'remind me later' for HN via web push

author: Galorious


value: RyukuLogos

value: Show HN: Euler and Fourier = Cognition?

author: RyukuLogos

title: Show HN: Euler and Fourier = Cognition?


value: hexomancer

value: This is a spiritual adaptation of oil.nvim for vscode. The main idea is you edit the filesystem by editing the current directory listing's text buffer. For example, if I want to rename a file, I just rename it in the listing file. This is extremely powerful because it translates all of your text-editing skills immediately into file editing capabilities.<p>Some features:<p>* Create/rename/move/delete files by editing the current directory listing's textbuffer<p>* Filter using glob pattern<p>* Trash and undo support<p>* Works even in remote-ssh workspaces<p>* Works across multiple vscode windows

value: Show HN: VS Code extension to edit the filesystem like a text buffer

author: hexomancer


value: lukaslukas

value: Show HN: I built a Typeform-for-WhatsApp in a weekend in 7 languages

author: lukaslukas


value:
Hi HN
I’ve built Dyan, a self-hosted platform where you can visually create, test, and export REST APIs backed by your own database. It's open source and developer-friendly.
Key features:
Visual builder for endpoints (GET, POST, etc.)
Sandbox execution with JS/Python logic
Instant test interface with live request/response
Rust code generation (planned)
No backend boilerplate needed
Stack: React, Tailwind, NestJS, Prisma, vm2
Repo: https://github.com/dyan-dev/dyan
Demo (coming soon): https://dyan.live
Discord (for contributors): https://discord.gg/ZQ4pKRA7
We're actively looking for contributors. A bunch of “good first issues” are available. Feedback and PRs are very welcome!

value: Show HN: Dyan – A Self-Hosted Visual REST API Builder (React and NestJS)


value:
Hello everyone!
This project is about achieving more than 96 % top1 accuracy on modelnet40 test dataset with light weighted 3d custome models. projecting 3d pointcloud dataset(with gaussian splatting method) into 2d.image and putting them into clip vit-16

value: Show HN: I achieved over 10% improvement on 3D vision PointCLIP


value: mrnaif

value:
So recently I was updating my uv lockfile via uv sync -U, and it had more than 70 dependency updates. Usually I check the changelogs of all updated packages just to be sure that nothing is broken (because semver is semver, but well, not always followed) So instead of googling a package name's github, finding a changelog, which is sometimes in github releases, sometimes in CHANGELOG sometimes in docs/release-notes.rst, sometimes no changelog at all, it takes a lot of time
This tool can parse uv sync -U output, extract dependency updates/additions/deletions, and then automatically find github for each project and a changelog via github releases/searching files in the repo, and output it in a nice format So you can just view changelogs of those 70 updates in one terminal, also with markdown and rst rendered right in your terminal!
I made it mostly extensible so support for new package managers can be added.

value: Show HN: Changelog Checker – Aggregate and Inspect Your Dependency Changelogs

author: mrnaif


value: dekockjohan

value:
AI has made it possible for anyone to copy almost anyone. Code can be rebuilt, UIs cloned and even writing styles mimicked. Speed and product alone are no longer strong moats.
I believe trust is one of the last real moats. People buy from those they know and trust, even if someone else builds something similar.
But sharing your journey online takes time and energy many builders do not have.
I built SparkYard to help founders and builders share authentically without the time sink.
Here is how it works:
1. Speak or jot down real thoughts about what happened in your week. Wins, mistakes, insights. No performance required.
2. SparkYard’s AI asks clarifying questions and suggests different ways to frame your story.
3. It drafts posts or threads in your voice and tone, ready to edit or publish.
SparkYard helps turn your daily work into content only you could write. The goal is to build trust and an audience that cannot easily be copied.
It is in beta and free to try. Feedback very welcome.
[https://sparkyard.io](https://sparkyard.io/)

value: Show HN: SparkYard – Your personal brand is the one asset AI can't replace

author: dekockjohan


value:
I'm lost between ChatGPT vs Claude vs Gemini... which subscriptions to take? With Cursor and all these specific AI tools, I just wanted one simple chat app where I can use any model and pay only when I use it.
Couldn't find one, so I built one.
Pay only for what you use. Your prompts and docs, knowledge bases work with every model - no more copy-pasting between apps.
Started as a personal project, but thought someone else might benefit from this too.
https://prismharmony.com/chat
What do you think?

value: Show HN: I built an LLM chat app because we shouldn't need 10 AI subscriptions


value: mttspss

value:
Hey HN,
I'm a solo founder building 12 startups in 12 months.
I had a lot of problems with tracking my finances and store them all in one place.
I kept noticing one thing: personal finance tools are either bloated or boring, nothing simple, fast, and actually useful.
So I built Easybudget, a simple budgeting app to actually track where your money goes.
Why I built it:
I wanted a way to manage spending without spreadsheets.
Most apps are overkill for 90% of people — I wanted fast, clean, focused.
I wanted to ship real products fast and learn in public.
Would love your feedback or ideas for what to improve next!
- Matteo (@creatorLLM)

value: Show HN: The easiest way to track your finances in just one view, with an app

author: mttspss


value:
Try 5 content generations free!
We built Writfy.ai as a sas, our goal is to empower small content creators, writers, freelancers, SEO experts, marketing teams, and small businesses who seek to optimize their online presence, even without deep SEO expertise.
We are your intelligent assistant for article creation. Simply give us a title and a brief description, and our AI will generate a complete, relevant, and SEO-optimized article, ready to capture your audience's attention and search engines.

value: Show HN: Try Free 5 SEO-Ready Articles Generated, You Make Them Unique


value: monsharen

value:
Hi HN,
Some friends and I have been working on and off on a service called GetSize (https://www.getsize.shoes) since 2019 and feel we finally have enough pieces in place to take it somewhere. We’re however uncertain about quality and would love your feedback on any and all aspects of it.
The core insight is that pretty much everyone has returned shoes they bought online that didn’t fit well. There are 3d scanners in stores which are cool but that won’t help you at home, and AI photo apps are generally in a pretty sad state still. Consumers do however have multiple shoes with a preferred fit at home, and when applied at scale it’s a simple data problem:
If I have 5 shoes that fit me well, and you have 5 shoes that fit you well, and we have a shoe in common; then I can buy all the same models and sizes that you have.
We are now building a dataset for this purpose, and to do it we’ve simplified the size chart tango that all retailer sites offer today. We’ve ingested a bunch of brand specific size charts so that you no longer need to look at excel sheets essentially. Just a simple recommendation based on what you already own. And whatever shoes you add will contribute to creating a dataset that makes size charts obsolete.
So why does this matter?
- Around 20-30% of shoes bought online are returned, half of that is due to poor sizing.
- Retailers usually solve this in isolation or not at all. There are some great solutions, but isolated to specific sites because of their business model.
- Size charts alone aren’t enough. They differ across brands and in many cases across models. And due to this, larger retailers can’t even map the correct chart to all of their models (See Europe’s largest online retailer Zalando as an example). They often use generic size charts.
The website design is a bit… developer-flavored. Our priority so far has been getting the backend, data collection, and recommendation engine working, and the texts are tailored for SEO to build organic traffic. Kind of hate that part personally but I guess it’s a necessity. Or is it?
I have written a first draft of our remote MCP server where the true value lies, but it’s not yet live. I hope it will put less emphasis on the need for a web frontend.
Regardless, would love to hear your thoughts and appreciate any feedback I can get.
Best regards,
Thomas

value: Show HN: I hate buying shoes online so I built a service to fix that

author: monsharen


value:
I'm in my 4th year living in Denmark as an expat, and I finally decided it’s time to properly learn Danish. I do have a Danish girlfriend, after all. One way I’ve been practicing is by trying to text only in Danish, but I often find myself stuck. I start my message in Danish, then hit a wall because I don’t know a word or how to fit something naturally into the sentence.
Especially in those cases, I used to give up and translate the entire message from English, which kind of defeats the purpose and interrupts the learning process.
So I started prompting GPT. I’d write my message with wildcards or notes for the parts I didn’t know, and it would return a corrected version. That worked well, but reusing the prompt each time became tedious.
So I built a wrapper around it.
Now I can type in the target language, mark unclear parts with curly braces {like this}, and get an instant corrected version with explanations. I also added a history feature so I can review what I got wrong, and I plan to build more on that soon (eg. summary of areas or words to review).
This app is for language learners who want to practice writing without feeling insecure about mistakes or breaking their flow by switching to a translator.
I hope you find it useful!

value: Show HN: I built this to talk Danish to my girlfriend – works with any language


value: jrlee

value:
Hey HN,
I love creating, and I've been fascinated by AI audio tools. But as a creator, trying to actually use them felt like a trap.
First, wrestling with raw TTS APIs to create something that doesn't sound like a robot reading a phone book is an art form in itself. It takes forever to get the pacing and tone right.
Second, and this was the real deal-breaker: even if you create a masterpiece, platforms like YouTube feel like they're just waiting to demonetize you or slap a restriction on your work because it's "AI-generated." It feels like you're building on someone else's land, and they can change the rules overnight. It's soul-crushing.
I wanted a sanctuary for audio creators. A place that’s more like a recording studio in your pocket than a frustrating API wrapper. A platform where you can focus on your story, not on fighting the tools or the distribution algorithm.
So, I built Sohri (https://sohri.ai).
Sohri is designed to turn your short stories into polished, binge-able audio episodes, handling the boring parts so you can be the director. During testing, I was surprised to find that for many shorter pieces, the AI narration actually felt more engaging than my own quick recordings because it never gets tired or stumbles.
It’s free to use, and the core features will always be free. My goal is to build a place where creators can experiment, share their work, and eventually earn a living without fear.
I’m here all day to answer any questions. I'd be incredibly grateful for your feedback—try listening to a story or creating your own and let me know what you think.

value: Show HN: Sohri – Turn short stories into binge-able audio episodes

author: jrlee


value: NetRunnerSu

value: Show HN: The Future of LLM Explainability

author: NetRunnerSu


value: kuberwastaken

value: I call my Portfolio Website "The Best Terminal-Inspired Portfolio Website on The Internet™"<p>As one of the games, I decided to play around and add this - just use "gameoflife" as the command and try it out, I'd love to hear thoughts :)

value: Show HN: I added Game of Life to my Portfolio Website and it's so cool

author: kuberwastaken


value: amedvednikov

value: It provides zero-dependency, memory-safe  operations for working with torrent files, bencode data, and magnet  links.

value: Show HN: Magnetar, a high-perf BitTorrent parsing and manipulation library

author: amedvednikov


value: keyvank

value: Show HN: A Scarce Cryptoasset Rooted in Private ETH Destruction

author: keyvank


value: jwally

value:
I wanted a way to limit what channels on youtube my kids could watch, so I built this over the weekend with Claude.
Whats nice is it still works even though we're blocking youtube and youtube-kids through PiHole.<p>No idea what I'm going to do with it from here, but thought it was worth a share. Thanks!

value: Show HN: Couchtime.click – my YouTube whitelist app

author: jwally


value: exler

value:
As an avid traveler and player of "map painting games" like Crusader Kings or Europa Universalis, I always wanted to paint the world map with my travels.
This small app lets you track and visualize what countries you have already visited. Hopefully it brings a smile to your face once you complete your map!
It's also open-source: https://github.com/exler/placemarker
What do you think?

value: Show HN: I built an app to track what countries you visited

author: exler


value: Scofieldfee

value:
Hi HN!
I built [BGRemovePro](https://www.bgremovepro.com), a super simple and fast background remover tool designed especially for AI-generated or stylized images, where traditional background removers often fail.
As someone building and using AI image generation tools, I constantly ran into issues where auto background removal (especially on complex or artistic images) produced jagged results or deleted parts of the subject. BGRemovePro is optimized to handle these kinds of images better using a custom image matting pipeline.
Some key features:
- One-click background removal, no login required
- Fast inference (< 2s per image)
- Handles illustrations, AI portraits, and artistic styles more accurately than generic removers
- Free to use while it's in early stage
I built this as a standalone micro-tool to integrate into other image workflows. It’s still in early MVP, and I’d love to hear your thoughts — especially if you’ve used similar tools or have tricky image cases it should support.
Thanks for checking it out!

value: Show HN: BGRemovePro – A fast background remover for AI-generated images

author: Scofieldfee


value: thindenimguy

value:
After nearly 3 decades in SEO (yes, really), I built QueryBurst, a tool that connects directly to your Google Search Console account and gives you actual insights, without the usual mess of keyword scraping, competitor spying, or bloated dashboards.
Why I built it
I got tired of the usual workflow:
- Exporting GSC data into spreadsheets or Looker Studio
- Merging with crawl data or running manual audits
- Writing prompts by hand for LLMs
- Fighting the API’s limits, sampling, and UI quirks
- Trying to keep a simple story straight across thousands of keywords
So I built something that:
- Uses only your own verified Search Console data (privacy-first)
- Runs a structured audit pipeline using Gemini (chosen for its massive context window)
- Makes it easy to find the “needle in a haystack” keywords with advanced filtering
- Classifies search intent using a trained Sentence Transformers model
- Parses massive HTML pages (up to 250K tokens)
- Surfaces clear, actionable content insights without fluff
- Focuses on modern SEO best practices (search intent, EEAT, helpful content)
What’s under the hood
Stack: React (frontend), Django (backend), Celery (async), Google OAuth (auth)
Metrics engine: 6-part dashboard (SEO, EEAT, Content, Intent, Gaps, Speed)
LLM pipeline: Config-driven audit engine using Gemini (with Google Search grounding for reputation checks)
Search intent: In-house Sentence Transformers classifier (retrainable via user feedback)
Affiliate-friendly: 30% recurring commission + first-month discount code
Technical challenges
Gemini’s JSON output can get buggy with large HTML input (250K+ tokens). We found it far more reliable to return structured markdown, which we then parse into clean JSON on our side.
“Just a ChatGPT wrapper”?
Nope (we use Gemini ), but more seriously:
While LLMs power some audits, the audit pipeline is model-agnostic — we could swap in Claude, OpenAI, or an open-source model. Prompts are system-tuned to deliver actionable, critical feedback in a structured format that mirrors how I do real SEO audits.
Sure, you could copy/paste your HTML into AI Studio, craft a prompt, and manually parse the result. But:
- You'll hit token limits
- You'll get inconsistent outputs
- You’ll have to do that every time
Or you could just use QueryBurst and get the insight without the overhead.
Privacy-first by design
You can only see data from properties you’ve verified in your own GSC account. We don’t build a global keyword database, don’t allow competitor lookups, and don’t store user passwords.
Data is stored for reporting, but deletions are real (not just “hidden” flags). And again — your data is your data. Nobody else sees it.
Search Intent (and plans to open source)
We classify keyword intent using a fine-tuned Sentence Transformers model. If a classification is off, users can correct it — and we plan to retrain periodically on this anonymized feedback.
We’re also considering open sourcing the training microservice (Dockerized) that handles this, to give others a fast way to train their own classifier on internal data.
Not open source, but fully transparent
You do need to connect your GSC account to use it (since that's where your data lives). But you can watch a 1-hour walkthrough video before signing up — see exactly how it works and what to expect at https://queryburst.com
There’s a free version (with limited data), and paid plans start at $45/month.
Would love your feedback
Especially from devs or SEOs frustrated with the way GSC presents data — or anyone curious about building LLM-based tools that go beyond wrapping an API.
Happy to answer any technical, SEO, or LLM questions in the comments.

value: Show HN: QueryBurst – SEO audits from your own GSC data (no scraping, no spying)

author: thindenimguy


value: YuvalFishbine

value:
I wanted a “ChatGPT Wrapped” but there was nothing like it.
So I built GPTRecap, upload your data and see stats, patterns, and unlock fun achievements.
Free version runs fully in browser.
Built with Vite, Supabase, Stripe, OpenAI, and DataFast.

value: Show HN: I gamified ChatGPT usage to unlock achievements and track fun stats

author: YuvalFishbine


value: segit

value:
Hey HN geniuses ,
We just launched FansBond – a crypto-native platform that helps creators fully own their monetization.
What you can do on FansBond:
1) Create your own MemeCoin (fully on-chain, no code required)
2) Offer 1:1 private paid chats
3) Sell exclusive content (videos, guides, courses, livestreams)
4) Accept crypto payments (ETH, BTC, USDT, SOL, etc.)
5) Use a free Link-in-Bio with full analytics + token integration
6) No fees. You keep 100% of earnings.
7) Privacy-first: payments can be anonymous and are direct to your wallet.
We built this for creators who want to break free from platforms that take cuts or limit content types. Everything is non-custodial and designed to be frictionless.
Would love your thoughts on UX, crypto integration, scalability ideas, or just brutal feedback.
https://www.fansbond.com
Thanks for checking it out!
Happy to answer any questions below.

value: Show HN: FansBond: Create Tokens, Crypto Payments, and Private Chats and Content

author: segit


value: Exorust

value: Show HN: Learn LLMs LeetCode Style

author: Exorust

title: Show HN: Learn LLMs LeetCode Style


value: srkdaniel

value:
Hey HN
I kept seeing early-stage products with a killer idea but… the logo, slide deck, hero image, Twitter banner were all random. As a dev, I’ve felt that pain myself—hiring a designer for a cohesive brand system costs $3–10 k and weeks of back-and-forth. Cheap logo generators solve 5 % of the problem and leave you with mismatched colors + fonts.
So I built Brandiseer: paste your project name + business description → get a 16-asset brand kit in about ten minutes:
- multi-variant logo set (dark / light / mono)
- color palette + HEX/RGB sheet
- headline/body font pairing (Google Fonts)
- PDF style-guide (spacing rules, do’s / don’ts)
- website hero header, social launch graphic, app icon
- business card front/back, basic merch/mock-ups
- PNGs today; SVG/Figma export on the roadmap
Why it’s different
- Generates a system, not a single graphic—the palette / typography feed every asset.
- Ships a style-guide PDF so whoever designs your next slide deck has guard-rails.
- A “brand DNA” layer means we can add editing & re-generation without breaking consistency.
What’s next
- Re-edit flow (credit based)
- Brand “memory” so you can chat “make a holiday version of our hero image” and stay on-brand
Ask HN
- Does the kit cover what you would need for a launch? Anything missing?
- Thoughts on a pay-once vs SaaS tier? (I’m leaning pay-once for V1, then optional Pro tools.)
- Anyone interested in contributing template packs / prompt flows?
Live demo + sample kits: https://brandiseer.com
Appreciate any feedback, roasting, or “this already exists, here’s why” comments—thanks!

value: Show HN: Brandiseer – From Idea to Full Brand Identity in Minutes

author: srkdaniel


value: ufuayk

value: I made a small CLI tool called `c0admin`. Runs locally using your own Gemini API key. No signup, no server, no tracking.<p>You just run `c0admin` in your terminal, and it gives you suggestions interactively.

value: Show HN: c0admin – A terminal-based AI assistant for Linux sysadmins

author: ufuayk


value: pepperonipboy

value: Show HN: I made a free tool to sync Strava activities with your calendar

author: pepperonipboy


value: We wanted to know how well LLMs can predict what you think and put them to the test in a game of codenmaes! Grab a friend and play in two teams, each consisting of one human and one LLM.<p>Do you think LLMs can grok your clues?

value: Show HN: Clu3 – Team up with GPTs in a 2v2 game of codenames


value: samsquared

value:
I built a real-time, competitive writing platform where players collaborate on stories by writing in turns. Each chapter is scored by an AI system (based on coherence, style, and originality), and players climb rankings like in a MOBA game.
Modes include Classic (just writing) and Ranked (writing + scoring), with turn timers of 1 or 12 hours.
The idea came from trying to merge my love for writing and online games. I’ve been working solo for 8 months to bring it to life.
It’s free-to-play and fully online. Built with Node.js, Express, PostgreSQL, WebSockets (Socket.io), and OpenAI APIs.
I built a real-time, competitive writing platform where players collaborate on stories by writing in turns. Each chapter is scored by an AI system based on coherence, style, rhythm, and originality — and players climb rankings like in a MOBA game.
There are two main modes:
- *Classic* – Just writing, no scores.
- *Ranked* – Writing + scoring and leaderboard progression.
Turn timers are either 1 hour or 12 hours per chapter.
The idea came from trying to combine my love for creative writing and competitive online games. I’ve been working solo for the last 8 months to bring it to life.
Tech stack:
- Node.js + Express
- PostgreSQL
- WebSockets (Socket.io)
- OpenAI APIs for AI-based scoring
It’s not just a game: stories get published, shared, and commented. You can follow writers, track stats, receive real-time notifications, and explore the full story library.
It’s free to play and currently in closed beta — sign-up is required to access the platform.
Site: [https://www.wordrops.com](https://www.wordrops.com)
Would love your thoughts — feedback on concept, UX, flow, mechanics, anything that could be improved.
Site: https://www.wordrops.com
Happy to answer questions!

value: Show HN: Wordrops – A competitive writing platform inspired by League of Legends

author: samsquared


value: wingscape

value:
Hey HN Community,
I just released an open-source project on GitHub called "Urban Data Pipeline: A Hands-On Guide to Real-World Data Engineering", a practical project designed to simulate challenges you’d encounter building centralized data systems in the wild. If you're into urban development, traffic insights, or air quality monitoring this one's for you.
The project takes you through ingesting live data (like traffic, air quality, and urban zoning), cleaning and enriching it using Python, dbt, and Airflow, storing it in Snowflake, and visualizing everything through Tableau.
Everything’s containerized and orchestrated using Docker. You can use this pipeline to simulate how smart cities manage and analyze data or just learn how to connect multiple tools into a cohesive, modern data stack.
I started this project as a learning journey to centralize and analyze real-world urban data across Jakarta. It's been a great playground for experimenting, which make the modern data stack feel lighter and more approachable.
Here’s also my medium article if you want look into it:
https://medium.com/data-science-collective/end-to-end-urban-...
Would love feedback, contributions, or thoughts on improve this.
Cheers!

value: Show HN: Urban Pipeline for Citywide Insights

author: wingscape


value: Show HN: Super Launch, a clean and minimal product launch platform


value: artiomyak

value: Show HN: Make Led Scroller Message

author: artiomyak

title: Show HN: Make Led Scroller Message


value: Show HN: An open-source, Android app for discovering privacy-respecting software


value: gavinray

value:
Hey all, wanted to share a project I've been working on over the past several weekends.
There were 2 reasons I had for building this:
1. I wanted to genuinely evaluate MCP as a protocol. Verdict: I think it's unnecessary complexity. Could have used OpenAPI or GraphQL, but here we are...
2. Lots of people probably want to run queries on data. Apache Calcite is an under-utilized tool for this, because of how much leverage you get for relatively little implementation code.
Also, my dayjob work is on a product that does a similar sort of thing, and I wanted to get a feel for how the quality of a naive implementation would be in comparison.

value: Show HN: I built an MCP tool to query anything with SQL (Apache Calcite)

author: gavinray


value: bwm

value: Show HN: The simplest way to use MCP. local-first. 100% open source

author: bwm


value: anakali

value: Show HN: Another LLM Chat App to avoid having 10 different subscriptions and MCP

author: anakali


value: dangoodmanUT

value:
Hey HN! I got nerd-sniped by Bloom Filters this weekend, specifically for searching datasets with high "cardinality" (number of unique items).
They're an _amazing_ data structure that, at a fixed size, tracks potential set membership. That means unlike normal b-tree indexes, they don't grow with the number of unique items in the dataset.
This makes them great for "needle in a haystack" search (logs, document) as implementations like VictoriaMetrics and Bing's BitFunnel show.
I've used them in the past, but they've never been center-stage in my projects.
I wanted high cardinality keyword search for ANOTHER project... and, well, down the yak-shaving rabbit hole we go!
BloomSearch brings this into an extensible Go package:
- Very memory efficient via bloom filters and streaming row scans
- DataStore and MetaStore interfaces for any backend (can be same or separate)
- Hierarchical pruning via partitions, minmax indexes, and of course bloom filters
- Search by field, token, or field:token with complex combinators
- Disaggregated storage and compute for unbound ingest and query throughput
And of course, you know I had to make a custom file format ^-^ (FILE_FORMAT.MD)
BloomSearch is optimized for massive concurrency, arbitrary cardinality and dataset size, and super low memory usage.
There's still a lot on the table too in terms of size and performance optimizations, but I'm already super pleased with it. With distributed query processing I'm targeting >100B rows/s over large datasets.
I'm also excited to replace our big logging bill ~$0.003/GB for log storage with infinite retention and guilt-free querying :P

value: Show HN: BloomSearch – Keyword search with hierarchical Bloom filters

author: dangoodmanUT


value: rahulbstomar

value:
Hi HN!
I built a simple and fast online Text Compare tool that helps you quickly find differences between two blocks of text, side by side.
Features:
Instant difference detection (no page reloads)
Smart diff highlighting (line-by-line)
Mobile-friendly and lightweight
No login, no tracking, totally free
Why I built it:
I often needed a quick way to compare logs, code snippets, or data, without downloading heavy software or using bloated web tools. So I made this tool to solve that for myself and others like me.
Try it here  https://goonlinetools.com/text-compare/
Would love your feedback, bug reports, or suggestions!

value: Show HN: Free Online Text Compare – Instantly Spot Differences Between Two Texts

author: rahulbstomar


value: mattismegevand

value: Show HN: CMS-like editing for Markdown with contenteditable and 100 lines of JS

author: mattismegevand


value: hackerAman

value:
Hey HN,
We just launched Ethically — a simple, anonymous app that gives you 5 moral dilemmas every day.
You pick between two (usually difficult) options. No login, no tracking — just raw choices. Once you vote, you see how others voted, and how AI voted too (including its reasoning : coming soon).
It’s designed to spark thought, tension, and sometimes regret.
Built fast as part of our 12 startups in 12 months journey.
Would love feedback from the HN crowd.
https://pickethically.com

value: Show HN: Ethically – Daily moral dilemmas answered by you and AI

author: hackerAman


value: ByteAtATime

value:
Hey HN!
I'm a huge fan of Raycast, but as a Linux user, I was always disappointed it wasn't available on my main OS. This summer, I decided to just build it myself. This project has the goal of being interoperable with Raycast itself, including a majority of the extensions.
It's built with Tauri and Rust on the backend, with a Svelte frontend. The biggest challenge was getting it to run existing Raycast extensions, which required building a custom React renderer as well as making a custom API.
I also wrote a quick post, which I hope to expand on in the future, about this project. You can find it here: https://byteatatime.dev/posts/recreating-raycast
The project is still very rough, but I'm sharing it now to get any feedback you may have!

value: Show HN: A Raycast-compatible launcher for Linux

author: ByteAtATime


value: Quikfolioz is a curated collection of inspiration, ideas, and ready-to-use portfolio templates designed for developers who want to quickly establish their online presence.

value: Show HN: Quikfolioz – Vibe-Coded Portfolios, Crafted Fast for Devs on the Go!


value:
The reason why I got into programming like many other people was because I feel in love
with video games. Zelda, and Mario on the N64 were some of my favorite. But I also
started watching adult content (pron) at a very early age.
I was able to navigate the web more naturally than other people. And so my brain was
hooked.
It's been more than a decade carrying this unwanted habit. After my long term girlfriend
almost ended things with me about my use I decided it was time to quit.
I tried other apps to quit. Their attempt was honest and at times good. But they just
felt short of what I was actually looking for. What ended up working for me was: having
a notecard on my desk and a checkbox for every day, that I look at daily.
It's actually comically simple. But it worked for me. So I decided to build a native iOS
app. Partly because I didn't want the notecards to pile up and make a mess.
But also to learn Swift, SwiftUI, and SwiftData.
I had fun making the app for myself. I've been using it for about 8 months now on my
development Xcode build ... I finally got around to making it available for others.
Check it out if you're interested. thanks for reading.
app store link: https://apps.apple.com/us/app/zenstreak-quit-porn-tracker/id...
website: http://zenstreak.app

value: Show HN: ZenStreak - I built an iOS app to help me quit...


value: vednig

value: Show HN: CNDY – AI-First IRL Dating

author: vednig

title: Show HN: CNDY – AI-First IRL Dating


value: xmorse

value: Show HN: Self-Healing-CI: Use Claude to automatically open a PR when CI fails

author: xmorse


value: Airyisland

value: Show HN: I built a Tier List Maker

author: Airyisland

title: Show HN: I built a Tier List Maker


value: sebastianvoelkl

value: Prompt: "Create a system model of an F-35"

value: Show HN: Using AI to create models of complex hardware systems

author: sebastianvoelkl


value: joexbayer

value:
SynactJS came out of frustration with wanting reactive components on static or server-rendered pages, without needing a whole Node build pipeline and server just to get dynamic content.
I know this project is very similar to Preact currently (and even React can technically run in the browser without a build step), but I wanted to build something myself with a more "browser native" approach. Easier to use with traditional server-rendered apps like Rails or Django.
The goal is to expand this and make it more unique now that the base is set.
Currently writing the documentation page using SynactJS, although far from complete:
https://joexbayer.github.io/SynactJS/

value: Show HN: SynactJS – A minimal React/Preact-inspired UI library

author: joexbayer


value: alexanderdean

value: Show HN: Satellite Sonnet, a Shakespearean sonnet about NASA's daily image

author: alexanderdean


value:
I built Oxidiko because I was tired of seeing companies lose millions of passwords to sloppy authentication systems that were never designed for privacy or modern threats. I’m Jonathan, a 17-year-old developer and security enthusiast, and I wanted to create a simpler, more secure, and privacy-first way to log in.
Oxidiko reduces the attack surface by eliminating central password storage, encrypting all vault data locally, and making the user’s identity portable — so even if your server is breached, there’s nothing meaningful to steal.
It uses WebAuthn (passkeys) combined with a PIN fallback to generate a unique oxidiko_id — like a passport you actually have to prove you own. The vault is encrypted with keys derived from both, and either can unlock it securely.
No more giant plaintext databases, no more vendor lock-in. Just fast, open-source, zero-knowledge authentication that puts users back in control.
(Docs)[https://www.oxidiko.com/docs]
(Github)[https://github.com/Oxidiko/Oxidiko]
(Link)[https://www.oxidiko.com]
(Demo)[https://github.com/Oxidiko/Oxidiko/blob/main/video/oxidiko_d...]

value: Show HN: I built an open-source and serverless authentication system


value: virgildotcodes

value:
Just decided to whip this up for myself as I've been going a little hard lately and wanted to take a break for my health.
It's super simple - add any substance, set the time your sobriety started, and it'll start a timer. If you'd like, you can show it in your menu bar just to keep a reminder if your progress.
Totally free, private, no data leaves your computer.
https://quititapp.com/

value: Show HN: I made a free, simple Mac app for tracking your sobriety

author: virgildotcodes


value: tcsenpai

value: Hello everybody! I recently created this small tool that converts any Obsidian knowledge base to a proper Epub, formatted and with subchapters based on subfolders :) While I did it mainly for myself, I thought this could be useful to other info hoarders! is also available on pypi so feel free to test it :)

value: Show HN: Obsipub – convert Obsidian vaults to ePub

author: tcsenpai


value: lamroger

value:
A proof of concept stitching together Claude, MCP, and faker to generate synthetic LLM fine tuning data.
The idea came from Apple Foundation Model's adaptor training example. They provide a toy dataset with data on short script generation. Wanted to see how one might stitch together Claude and MCP with tools to generate data.
A little finic-y but if you really were to try to generate hundreds or thousands of examples, you could throw in a loop or loosen the formatting constraints and post-process into the ideal format.

value: Show HN: Shepherd – Generating Synthetic Data with Claude and MCP

author: lamroger


value: elitan

value: Show HN: Type-safe PostgreSQL helpers for Kysely – arrays, JSONB, and vector ops

author: elitan


value: kyotalab

value:
I built this because I was tired of scrolling through hundreds of lines of AWS CLI JSON output just to find instance status. hawk brings pandas-like operations (select, group_by, aggregations) to CLI with unified syntax across JSON/YAML/CSV.
Key features:
- Instant data structure overview with `| info`
- Same query syntax for all formats
- Built in Rust for speed and single-binary distribution
Would love feedback from the community!

value: Show HN: Hawk – Pandas-like data analysis for JSON/YAML/CSV in CLI

author: kyotalab


value: RaulOnRails

value:
A simple, free invoice generator for payments received from clients built with plain HTML, CSS, and JavaScript.
This project was born out of frustration with having to manually create invoices for Stripe payments and not wanting to pay give 0.4% to Stripe or pay for external services so I built it myself. It's inspired by @levelsio's Stripe invoice generator.
Since it's just plain HTML, CSS, and JS, once you clone the repo, it can run completely offline. Not that you'll ever need to, but you're ever on a plane with no internet and forgot to do some bookkeeping, you can do it with this simple app that runs in your browser.

value: Show HN: I made a free, simple open-source Stripe invoice generator

author: RaulOnRails


value:
I built a symbolic dream interpretation engine that runs fully in the browser no AI, no backend, no cloud. Just vanilla JavaScript and a hand-mapped keyword system.
It scans dream text, matches symbolic keywords to over 300 custom meanings, using deterministic logic. All data stays in localStorage no tracking, no server.
Try it here:
https://dino-nuggies45.github.io/Dream-Interpreter/
Built to explore subconscious patterns and emotional systems without machine learning. Feedback welcome!

value: Show HN: A Browser-Only Dream Interpreter Using Symbol Logic and JavaScript