value: AshBuildsAI

value:
Description:
After fully automating my personal workflow, I decided to build VibeMap to solve the same problem I've hit repeatedly: AI coding tools stall when requirements are vague, and traditional planning takes weeks. VibeMap bridges that gap.
What it does:
Describe your product idea in plain English, and VibeMap generates the same artifacts a senior PM would hand to engineers—prioritized roadmap, user stories with acceptance criteria, wireframes, database schema, and file structure—before anyone touches an IDE. Ideal for vibe coders or dev teams.
Why it's different:
- Complete blueprint in one pass
- Real-time streaming: See your data in real-time
- Intelligent sync: Edit once, and changes cascade across related artifacts automatically
- Context-aware: Remembers your project decisions across sessions
- Multi-agent architecture ensures domain expertise for individual generations
The problem it solves:
Most teams either spend weeks manually creating these artifacts across platforms (inconsistent quality, missing pieces) or jump straight to code with vague requirements (leading to rework and coding assistant hallucinations). VibeMap gives you production-ready planning in minutes, so your product has a clear direction from day one.
Current state:
This is an alpha release. The core generation works well, but I'm actively refining the AI prompts, improving the editing experience, and adding more customization options. I'm looking for early users who are willing to try it out and share feedback—especially product managers, startup founders, and dev teams who've felt the pain of planning bottlenecks.
Try it:
- Full access: https://vibemap.ai (free coupons available, just ask)
- Live demo: https://vibemap.ai/demo (no signup needed)
- Demo Video: https://www.loom.com/share/ac490697653445ff9d4589d655dfdef9
What I'd love feedback on:
- Does the generated blueprint match what you'd expect from a senior PM?
- Are the acceptance criteria detailed enough for your team?
- What's missing that would make this indispensable for your workflow?
- Any edge cases where the generation falls short?
I'm particularly interested in hearing from teams that have tried other AI planning tools or have specific workflows I should support. Thanks for checking it out!

value: Show HN: [Vibemap.ai] AI tools for founders – Turn ideas to dev specs in 10 min

author: AshBuildsAI


value:
I built EIDOS because I wanted a faster and more flexible way to prototype game ideas without repeatedly writing the same boilerplate code.
EIDOS is an AI-powered IDE that can:
• Generate gameplay code from natural language descriptions
• Edit existing code through an integrated AI assistant
• Open the correct editor automatically (text editor, code editor, or video editor) depending on the file
• Run prototypes instantly for quick iteration
As a solo developer, I spent years building my own tools to speed up experimentation. This project is the result of trying to remove the setup time, folder structures, and repetitive coding that often slow down early-stage game development.
I’d appreciate any feedback on usability, performance, or what features would be most helpful for indie developers or small teams.

value: Show HN: Eidos – AI IDE that generates and edits game prototypes instantly


value: EGreg

value: Show HN: smtp.js, a drop-in relay to prevent your sites spamming your users

author: EGreg


value: dcvr

value:
I would like to share ElasticSale (ES), an open-source project designed to support loyalty programs for small retail businesses.
ES uses “next order cashback coupons” campaigns to drive new unspected sales. It includes a simple web app where store owners can create and configure campaigns, register new sales, and issue/manage coupons. Coupons are delivered via SMS using AWS SNS.
The ElasticSale is built with Python/Django and  ready to deployed on Platform.sh (there is a YAML file).
The project is open-sourced under the MIT License. Feel free to test, use, and modify it!

value: Show HN: Elasticsale.com, an open-source SaaS for retail cashback campaigns

author: dcvr


value: jerrong

value:
Hi Everyone,
We just released our public SAAS version of CluedIn. It allows anyone to use AI Agents to clean data at scale. Our agents can find duplicates, fix data quality issues, build data validation rules, enrich data, classify data and more.
First 15,000 records are completely free and AI credits are included.  You can watch some training videos if needed: https://documentation.cluedin.net/training
Enjoy!

value: Show HN: Use AI to Clean Data at Scale

author: jerrong

title: Show HN: Use AI to Clean Data at Scale


value: georgecartridge

value: Show HN: I recreated fuse wallets app onboarding in SwiftUI and made it reusable

author: georgecartridge


value: A free, no-login-required web tool. It instantly translates emojis to text and vice versa.

value: Show HN: Emoji Translator

title: Show HN: Emoji Translator


value: sgentle

value:
This is a little puzzle game I made based on Wolfram's rule 30[0]. I was doing some sketches based on old Genuary[1] prompts and for some reason this idea stuck with me, so I polished it up into a hopefully playable state.
I wanted to keep things minimal, but as a semi-easter egg you can play custom variants using url parameters like https://demos.samgentle.com/wolfrominoes/?rows=20&rule=110
[0] https://mathworld.wolfram.com/Rule30.html
[1] https://genuary2021.github.io/prompts

value: Show HN: Wolfrominoes

author: sgentle

title: Show HN: Wolfrominoes


value: pshenok

value: Tower defense mechanics + cloud infrastructure concepts. Build your architecture, survive the traffic.<p>Rough MVP to validate the idea. Feedback welcome.

value: Show HN: Server Survival – Tower defense game for learning cloud architecture

author: pshenok


value: deltadarkly

value: Show HN: Dank-AI – Ship production AI agents 10x faster

author: deltadarkly


value: ocmaker

value:
All the examples of non-breaking spaces that they showed were arguably places where someone nicely typesetting might well do the same thing. For example, in "FY 2025", or "$8.7 billion". (I've even done this a lot myself in the past.)
I wouldn't call this a watermark, but more a sign of likely copy&paste, if students' word processors weren't currently doing that.
A "watermark" that invisibly identifies the text origin using Unicode tricks sounds possible.
And maybe you could do some things with statistical patterns.
Or you could, as some have done in the past, is to stego the identifying information in a way that's hard to spot but can't be denied later (e.g., the first letter of each word clearly spells out "john smith is a cheater who copied this from chatgpt").

value: Show HN: AI Watermarkremover

author: ocmaker

title: Show HN: AI Watermarkremover


value: wadudu

value:
Hi HN,
I’m an indie developer building Chemistry AI – a web-based chemistry solver for high-school and college students.
Motivation:
I saw many students searching for “chemistry AI” and mostly getting generic chatbots or math tools. I wanted something focused on chemistry that actually explains the steps, not just the final answer.
What it does:
- You can type a question or upload a photo of a worksheet.
- The AI reads the problem and shows transparent, step-by-step reasoning.
- It covers topics like equations, stoichiometry, acids/bases, equilibrium, thermodynamics, and basic organic mechanisms.
- There are two modes: “Just Answer” for quick checks and “Thinking” for detailed solutions.
Tech:
It’s a browser-based app using modern JS/React on top of hosted LLM + vision models via APIs.
I’d love feedback on:
- Whether the explanations feel clear/useful for real homework.
- What features you’d want as a student or tutor (e.g., practice mode, export to PDF, etc.).
- Any concerns around misuse or ways to better encourage learning vs just copying answers.
Link: https://chemistryai.chat/
Happy to answer any questions. Thanks for taking a look!

value: Show HN: Chemistry AI – A step-by-step chemistry solver for students

author: wadudu


value: clarkfannin

value: Hello! I have been working on a project recently that requires a lot of folder monitoring and I wanted a clean way to view the events detected by watchdog.<p>Enter pthui - super lightweight, color-coded based on file operation, and allows HTML exports via the rich library. Thanks for checking it out! :)

value: Show HN: pthui, a tiny, color-coded TUI wrapper for Python's watchdog library

author: clarkfannin


value: supasidebar

value:
Hi guys! I'm very excited to launch a menubar app that fixes the problem of not having cool Arc-like features in Safari.
What it does:
- Press a shortcut to instantly save URLs to your sidebar (or copy to clipboard)
- Search using the command panel
- Save directly from the sidebar
- Unlimited spaces, folders and pinned tabs
you can checkout demo video on website for all videos
will be looking forward to feedback

value: Show HN: I built Arc-like sidebar for Safari

author: supasidebar


value: Show HN: I built a circuit simulator that adds two numbers using only NAND gates


value: CodeWithNeer

value: Some days the tools around me feel heavy or cold. I started a small experiment just to see if typing could feel alive, if words could have their own rhythm. It wasn’t meant for anyone else—just a way to capture ideas and enjoy the act of creating.

value: Show HN: Cadennce- Your thoughts deserve to be heard

author: CodeWithNeer


value:
I’ve always hated how archaic .env files feel. Plaintext, easy to leak, and once they hit git history… you’re cooked. After accidentally committing secrets a few too many times, I finally asked myself: why don't we encrypt secrets just like passwords?
So I built better-env: a local, encrypted way to manage secrets without exposing plaintext all over your machine. One place for secrets, nothing sensitive in git, your secrets get directly loaded at runtime, project-wise.
It’s early, local-first, and still rough around the edges, but it already removed a whole category of stress from my workflow. I’d love feedback on whether this feels useful beyond solo devs, and what you’d want for team/CI setups.
It's open source too!
(https://github.com/HarishChandran3304/better-env)

value: Show HN: better-env – A Secure, Developer-Friendly Alternative to .env


value: qwikhost

value: Doc Genie links Kindle Scribe with Google Drive, OneDrive, and Dropbox so you can email notebooks to cloud storage and schedule syncs back to your device.

value: Show HN: Share Kindle Scribe Notebooks to Cloud Storage

author: qwikhost


value: properbrew

value:
I was trying to find a simple app to use for offline transcription and translation on my phone, however the Play Store is absolutely chock full of ad filled ones, paid versions, in-app purchases and stuff that's just way too complicated for what I wanted.
Whistle is simple, free, no-ads, no tracking, no network permissions required application that allows your to transcribe and share the output to wherever you want. That's it, nothing else.
Big shout out to https://github.com/mybigday/whisper.rn and https://huggingface.co/ggerganov/whisper.cpp/tree/main for making this even possible.
Any suggestions are welcome.

value: Show HN: Whistle – Offline, private voice transcription using whisper

author: properbrew


value: kakmuis

value:
I’ve been experimenting with a workspace automation script for macOS using Hammerspoon, and wanted to share it. I was looking for ways to do this because I found myself often opening the same apps in certain situations (phd research apps at the office and a clean workspace at home for instance) but I didn't find a tool that made this easy.
It’s extremely early (a single Lua file), but it already sets up a full “workspace” by opening apps, placing windows, and assigning them to Spaces.
Feedback welcome; planning to evolve this into a Spoon and eventually a full macOS app.

value: Show HN: SpacePigeon – a macOS workspace automation tool built on Hammerspoon

author: kakmuis


value: messkan

value: Show HN: PromptCache – a self-hosted semantic cache for LLMs (Go and BadgerDB)

author: messkan


value: Show HN: FreshRank – AI Content Auditor for WordPress (Free, Open Source)


value: prameshbajra

value:
I built a Chrome extension to take timestamped notes while watching YouTube.
I learn a ton from YouTube, but taking notes with timestamps was always annoying so I built a simple extension for that.
It's just a simple extension (plain HTML, CSS, JS). Everything is stored locally in your browser — no account, no sync.
60-second demo: https://www.youtube.com/watch?v=rOi7xQ8DLpo
Chrome Web Store: https://chromewebstore.google.com/detail/video-notes/phgnkid...

value: Show HN: Video Notes for YouTube

author: prameshbajra

title: Show HN: Video Notes for YouTube


value:
I built this game after seeing a viral video on YouTube where people were dancing to a music warmup routine. It looked so fun that I wondered what it would be like if the video could actually track your movements and give you a score, instead of just watching and following along.
It’s all meant to be lighthearted. No account needed, no ads, no onboarding. You just open the site, start dancing, and see how well you match the movements. The goal was simply to make something that brings a smile to people’s faces.
I’m still improving the motion tracking and smoothing out the gameplay, so I would love any feedback on what feels good or what can be better.
You can try it here:
https://immersivewarmup.com/
Thanks for taking a look. I hope it gives you a quick laugh or a tiny workout.

value: Show HN: A little browser game I made after seeing a viral dance video


value: Show HN: I made it fast and easy to launch your own RAG-powered AI chatbots


value: For reference, I have a TikTok account where I share AI news and people always asked me where do I find the stories. So I decided to build a news aggregator for AI related news from the websites and subreddits I follow using RSS. I also open sourced this on my GitHub: https://github.com/evangelosmeklis/theaihomepage

value: Show HN: The AI homepage – A news homepage for AI related articles


value: Romelium

value:
Needed a quick way to share HTML prototypes without setting up a repo or using a heavy SaaS, so I threw this together.
It’s a single HTML file (editor + preview + publisher). You can save it locally and use it offline. It takes your GitHub token, creates a Gist, and gives you a permanent rawgithack link.
The landing page linked above was generated by the tool itself.
Practical link: https://pagecast.romelium.cc/
Source is here: https://github.com/Romelium/PageCast

value: Show HN: Page Cast – A single-file HTML host that hosts itself

author: Romelium


value: hejhdiss

value:
I’m sharing a *proof-of-concept project called Qeltrix* (.qltx) that explores content-derived cryptography, parallel compression, permutation, and streaming AEAD encryption.
Key features:
- Content-derived keys (from full file or head N bytes)
- Parallel LZ4 compression with deterministic permutation
- AES/ChaCha20-Poly1305 AEAD encryption per block
- Streaming write/read with footer index for fast verification
GitHub: [https://github.com/hejhdiss/Qeltrix](https://github.com/hejhdiss/Qeltrix)
Article (full detailed one - if you wnat to know clearly):
https://dev.to/hejhdiss/introducing-qeltrix-a-content-derive...
I’m looking for *feedback, peer review, and potential collaborators*. Any thoughts, improvements, or security considerations are welcome!
Thanks!

value: Show HN: Qeltrix:PoC for content-derived,parallel,streaming encryption container

author: hejhdiss


value: slonik

value:
Hi all! I'm Kristyna, maker of Sidemail. I'd love to share with you what we've been building.
We built Sidemail because sending emails from a SaaS app was way harder than it should be.
Sidemail is made for developers and teams that want one simple place to handle SaaS emails with reliable delivery and no bloat.
It has:
- Everything for creating, managing and delivering SaaS emails in one platform,
- Easy-to-use email API for sending password resets, receipts, etc.
- Messenger for writing product updates and newsletters,
- Email automations for onboarding and lifecycle flows,
- Fast email delivery and reliable infrastructure,
- Developer-focused features like detailed API logs, Markdown emails, simple domain verification and DKIM, and more.
- No-code editor and premade email templates tested across all major inbox providers and devices.
The whole integration process takes less than 30 minutes. If you want to try it out, there is a free trial.
Quickstart docs here: https://sidemail.io/docs/email-sending-quickstart/
If you have any questions or thoughts to share, please do tell! We’re happy to improve further.
Thanks! Kristyna

value: Show HN: Sidemail – Email platform for SaaS (email API, newsletters, automation)

author: slonik


value: marsadist

value: Show HN: BrandJet, Unified Outreach + Brand Monitoring

author: marsadist


value: I constantly have trouble quickly upgrading multiple repositories because one often depends on another. So I came up with a tool that does it for me. Feedback is welcome. There are alternatives, like repo tool from android, but my is possible to static binaries(crystal write)

value: Show HN: Milka – A Polyrepo Managment Tool


value:
I built this to automate image descriptions for my projects. It generates:
- Alt text for accessibility (WCAG compliant)
- SEO descriptions with keyword injection
- Creative captions for social media
Features: 12+ languages, drag & drop, paste from clipboard, API access, export to JSON/CSV. Free tier: 10/day, 100/month. Premium removes limits.
Tech: React + Vite, Node.js + Express, GPT-4o Vision, Cloudflare D1. Open to feedback and feature requests.

value: Show HN: AI Image Describer – GPT-4o Vision for alt text and SEO descriptions


value:
"AI is currently in it's CLI era" is a take I saw somewhere that I couldn't get out of my head. So I built Seppen with the goal of bringing AI into it's GUI era to make AI's functionality accessible to an even wider range of people.
You can paste any prompt into Seppen and you will get a nice looking web UI that serves the functionality of that prompt on a silver platter in a couple minutes.
Seppen automatically detects which parts of the prompt need to be fixed to get a consistent output, and which parts can be customized and picks a fitting input component for those variable parts of the prompt. Then all you have to do is fill in the details as you want and press generate.
It's much easier to share, save, and manage these UIs than having to store thousands of words worth of prompts in some notes app.
Currently, Seppen supports prompts that produce text, images, and tables (that you can export to csv) and can access the internet to get up-to-date information for prompts that need it (e.g. for a stock comparison prompt or research prompt)
You can paste any prompt you have saved on X or that you have somewhere in your notes and see how it works. There are a few ready made examples on the homepage, but if you want to see some more I would encourage you to go to my profile page (/egor) and check out the collections.
I would greatly appreciate any feedback and would be very curious to discuss the take I put at the start of the post.

value: Show HN: Seppen – Turn prompts into shareable web UIs


value:
I’m an indie iOS developer and I built a small tool because I couldn’t find a simple, fast, privacy-respecting document scanner on the App Store.
Most scanners today require an account, upload files to their cloud, or push subscriptions aggressively. I wanted something that opens instantly, works offline, exports clean PDFs, and doesn’t track anything.
So I made Scan.
It opens as fast as the Camera app, processes documents locally, and doesn’t require an account. The design is inspired by the older, simpler iOS UI from the iOS 6 era because I’ve always liked how clean and fast it felt.
I’d love feedback, especially from other developers:
– Is the interaction flow intuitive enough?
– Does the “privacy-first + old-school design” direction make sense in 2025?
– Anything obviously missing for a 1.0?
Happy to answer questions.

value: Show HN: I built a simple, fast, privacy-first document scanner for iPhone


value: underwoodxie

value:
I'm a product manager-turned-solo dev, and I'm building Promptsref, a curated Midjourney SREF library with full prompts, images and examples.
Promptsref helps you:
Quickly discover good SREF styles without trawling X/Discord/paid PDFs
Reuse full prompts + SREF to reliably reproduce a style
Explore by “vibe” (comic, cyberpunk, film still, etc.) instead of guessing keywords
Why I built it：
I started Promptsref after getting frustrated with Midjourney. As a beginner I kept seeing amazing styles, but they were:
1. buried in long X threads or Discord chats
2. shared as just a code or a partial prompt
3. almost impossible to reliably reproduce later
I wanted a place where I could save only the styles that consistently look good, with the exact prompt + SREF + example images in one place. That slowly turned into this project.
How it works：
For each SREF on Promptsref I store: the SREF code, the full prompt I used, example images (and sometimes video styles)
You can browse by tags and “style vibe”, copy a code you like, paste the full prompt into Midjourney, and usually get a similar result in a few generations. I update the library based on the styles I use in my own work and what the small community around the site seems to like.
Tech details:
Frontend: Next.js, deployed on Vercel
Backend: Supabase/Postgres to store SREFs, prompts, metadata and favorites
Things I’ve learned / had to work around:
Designing search for non-technical creatives is harder than just “add a search box”
Keeping SREFs useful when Midjourney updates models requires pruning and re-curating
People care a lot about consistency (series, brands, comics), not just one-off pretty images
What I’d love feedback on:
If you use Midjourney, I’d really appreciate feedback on:
Is the search / navigation understandable?
What information about a style do you wish you saw first?
Is there a better way to show series / collections of styles?
Any obvious technical improvements you’d make to the stack or data model?
Link: https://promptsref.com
Thanks for reading, and I’m happy to answer any questions about the implementation, data model, or the SREF curation process.

value: Show HN: Promptsref – Curated Midjourney SREF library with full prompts

author: underwoodxie


value:
I have been working on a browser automation system for OSINT analysts. I took this up because the tools that exist today have a few problems:
1. They require a little more precise notions of what needs to be done by the system (like, go here, click here, then do this, then do that etc.)
2. To perform complex tasks, the few tools that exist, they need some knowledge of the system itself (like telling it to call a specific function or a class etc.)
My goal with this project (I call it `pyba`) was to abstract everything from the user's side. I have two "exploratory" modes built into it, these are for Depth First Search (wherein, it will pick one train of thought, and execute that in full, then revert), or Breadth First Search (where it executes multiple tangential plans in parallel).
All an analyst has to do is type out in words, everything they already know and can share, and what all they'd like to find out more. To ensure that there are no roadblocks in this journey, I also have hardcoded logins, which read your credentials from the environment and log you in to websites like gmail, facebook and instagram (so your credentials never go to the LLM).
And of course, you can use it for normal stuff as well (like tell it to scroll reels for you if you want)!
Test it out:
1. Install using `pip install py-browser-automation`
2. A simple sample code you can just plug and run:
```py
from pyba import Engine<p>eng = Engine(openai_api_key="", use_logger=True, handle_dependencies=True)<p>output = eng.sync_run("go to hackernews and tell me what is the most upvoted post")<p>print(output)
```

value: Show HN: Building a no-code browser automation system for OSINT


value: Show HN: Zig's defer/errdefer for c99 and gnu11 C via macros


value: Show HN: MCP setup sucks – so I built a zero-config client with 2,700 agents


value: kuberwastaken

value:
needed this for some of my own websites so I made my very first npm library today :)
the idea is pretty simple but useful - if a user lands on your website and encounters a 404, this uses a basic fuzzy URL matching to redirect to the closest valid URL
very low effort to set up, just 46kb, no dependencies and I'm quite happy with it !
happy to hear feedback/ potential improvements
https://www.npmjs.com/package/fuzzy-redirect
https://github.com/Kuberwastaken/fuzzy-redirect

value: Show HN: Fuzzy-redirect- preventing 404s by auto-redirect to closest valid route

author: kuberwastaken


value: overflowy

value: Show HN: Bash Script Tools – front end for shellcheck and shfmt with AI autofix

author: overflowy


value: vertti

value: Giving variables and functions good names is important. But even an awesome name for a dataframe isn't very useful. So I created an annotation that allows "documenting" dataframes that functions get as input or produce as output. You can tell which columns to expect or even use Pydantic models to validate each row.

value: Show HN: Annotation to document and runtime validate Pandas and Polars dataframe

author: vertti


value:
For years, I was stuck. Trapped in a loop. Every new project, every team initiative – it began with the same soul-crushing setup.
Hours. Gone. Not on the actual work, mind you. But on the meta-work. Defining tasks. Sketching forms. Mapping workflows. Hunting for that 'perfect' template that never quite fit. Just trying to get to zero. To a starting line where meaningful work could actually begin.
Most project management tools? They're brilliant once things are up and running. Tracking, collaborating, reporting – they nail it. But that initial blank canvas? That moment you’re staring at an empty page, forced into a rigid template that doesn't quite fit your brain? They leave you cold. You're still the architect of the initial system, not just the manager of the tasks within it.
That frustration? It boiled over. It forced us to ask: What if this initial setup wasn't a blank canvas? What if an AI didn't just suggest tasks, but built the entire damn structure for your workspace?
That's the core idea behind FlowTask. Imagine a comprehensive blueprint, generated for you. We’re talking about a full task hierarchy descriptions, assignees, due dates, dependencies, all logically organized. Forms, too. Generated with the right fields text, numbers, dates, dropdowns and smart validation rules, context-aware. And workflows? Defined states, transitions, ready for your no-code builder or internal system. All of it.
The 'how' is where it gets gnarly. And exciting. This isn't just tossing a prompt at an LLM and hoping for decent text. We're building a structured AI generation layer. Think of it less as a word spinner and more as a schema generator for project components. We're pushing fine-tuned models and sophisticated prompt engineering to ensure the output isn't just plausible, but structured. System-ready. It’s about killing the 'hallucination' problem by guiding the model towards concrete, defined outputs.
We're taking that initial project 'cold start' problem and crushing it. Hours of administrative grind, cut to minutes. This isn't about replacing human smarts. It's about automating the truly tedious, non-creative crap.
We've been grinding on this for a while. Now we need your unfiltered take. What are the landmines you see? How do you currently kick off a new project? What kind of structured output would actually save your ass?
Let's talk. Happy to dig into the tech or specific use cases.

value: Show HN: FlowTask – AI to bootstrap project setups


value: kurainox

value:
I've been using a version of this internally for a few months but decided to polish it a little to finally deploy it.
It's a color system generator that creates accessible, perceptually uniform color palettes using the OKLCH space. It takes one seed (primary) color, generates relative key colors from multiple color harmony schemes (analogous, complementary, etc) that are then used to create 26-step color ramps each. Shades from the ramps are then used to generate semantic color roles, or can be used for creating custom palettes.
All colors are gamut-mapped to the sRGB gamut with chroma reduction, essentially preserving lightness and hue values while finding the maximum in-gamut chroma for each step.
There are obvious similarities to Material Design Themes, mostly because I'm visually pretty comfortable with it. Plus, I started this project back when some of the colors generated by Material could be a little dull and I wanted to learn/build something like this from the ground up.
There are a couple of improvements I would like to make to this in the near future. The first one is a dynamic chroma curve (the chroma falloffs for the ramps are on a bell curve). At the moment, the chroma curve peaks at L ~0.55 for all hue ranges, which works good enough but isn't ideal for a few reasons. The second one would be adding seed color extraction from images. And maybe a built-in contrast checker.
If you find the tool helpful and/or have any feedback or suggestions, let me know.

value: Show HN: An OKLCH-based perceptually uniform color system/theme builder

author: kurainox


value:
I built an open-source “Civilization Patch” that adds an Emotional Entropy Regulator (EER) layer to LLMs.
The core idea:
Humans reduce emotional entropy through compassion, but for AI compassion increases computational entropy.
So the patch stabilizes interaction by slowing, mirroring, pausing, and regulating high-entropy emotional inputs.
RFC v1.1 + math model + reasoning here:
https://github.com/rain1955/Civilization-Patch/blob/main/RFC...
Would love feedback from people working on AI safety, alignment, multi-agent systems, and conversational stability.

value: Show HN: Civilization Patch – An Emotional Entropy Regulator for LLMs


value: SleepyWalrus

value:
Lets be honest, poor code slips into production far too often.
Increasingly, that code is some untested auto generated AI code.
And is ALWAYS a pain in the ass to fix!
So I built a simple tool to make your debugging routine easier and quicker.
The tool catches your production issues, raises the bug, traces the root cause and suggests a fix via a small UI. It clicks into your logs, infra and git to get full observability of your stack and is ready to use with only 2 heml commands.
This is the first iteration of what will become a more rounded product which i'd love to steer from feedback and questions!
Link: https://github.com/dingus-technology/DINGUS

value: Show HN: Reduce time debugging AI slop in prod

author: SleepyWalrus


value: valeagent

value:
I built Sophistia because traditional stock screeners only filter financial ratios, and none of them let you screen companies by deeper business characteristics or narrative factors.
Sophistia lets you type any factor in plain English - e.g., “AI datacenter exposure”, “high switching costs”, “mission-critical supplier”, “tariff sensitivity”, “recurring-revenue strength”, “rare earths value chain”, “Trump trade war beneficiaries”, “AI-disruption risk”, etc. You can describe in detail what the factor should evaluate and choose the scoring scale.
The system scores thousands of companies from 0–10 on each factor using LLMs with structured context. Companies with the highest total scores rise to the top of your custom thematic watchlist. It’s essentially a factor-model stock screener for retail investors: you define the narrative, factors, characteristics, or thesis, and the tool finds the companies that actually match it.
I built this after realizing how difficult it is for retail investors to identify companies that benefit (or suffer) from a trend without already knowing the entire universe of stocks. Hedge funds solve this by having the resources to track all the stocks; retail investors don't. This is my attempt to bridge that gap.
This is not a tool for deep, company-specific analysis but rather a way to surface the companies that exhibit the characteristics you’re looking for and may deserve a closer look.
This is very much a v1: right now it only covers SEC companies and the contextual data is still limited. Feedback from anyone familiar with active trading, screening tools, or factor models would be extremely helpful.
This is a completely solo-founded project that I built myself.

value: Show HN: AI Factor Model Stock Screener

author: valeagent

title: Show HN: AI Factor Model Stock Screener


value: jabber-feller

value:
I built Jabcode Studio, a tool for creating and scanning high-density QR-like 2D colour barcodes. Unlike standard QR codes, these use multiple colours to pack much more data (upwards of 2 KB per code).
Web and iOS available. App store link here: https://apps.apple.com/ca/app/jabcode-studio/id6749924342
JAB Code has been around for a while, with some discussion here a few years ago: https://news.ycombinator.com/item?id=18495250
But this is the first implementation I've seen for files (without compiling from source) and the first iOS compatibility I’ve seen.

value: Show HN: Jabcode Studio, high-density QR-like 2D barcodes for sharing files

author: jabber-feller


value: Show HN: Bindu – an auth, payment, and communication layer for AI agents


value: robot-wrangler

value:
Immediately buried last time, so reposting for your lazy Sunday.
This project is a strange labor of love, practically guaranteed to inspire horror and delight. It's also tough to summarize. Partly it's very practical and involves familiar tools, but part of it is also a new programming language with esolang roots. I'll start with the practical and move towards the peculiar.
The one-sentence summary: compose.mk brings docker-fluency, polyglots, and a capable standard library to Makefiles. A more in-depth elevator pitch from the main landing page is below, and some related links at the end in footnotes 1-5.
> Meet compose.mk, a tool / library / framework for Makefile-based automation, scripting, and lightweight orchestration. Native support for docker, docker-compose, workflow primitives, JSON IO, TUI elements, and more, all provided by a single file with no dependencies beyond what's already in your development environment. Typical use-cases include general project automation, especially decoupling your CI/CD from different kinds of platform lock-in. Other superpowers include the ability to quickly incorporate foreign tools and foreign code as first-class objects, which provides unique and powerful capabilities for quickly assembling console applications, systems prototyping, and component-oriented design experiments in general. Definitely not the Makefiles of your ancestors.
Here's where it starts to get more weird and fun. Building the ideal environment for zero-dependency automation and pesky "glue code" moves in a certain direction. So it happens that compose.mk moonlights as an interpreter / compiler / packaging tool for a new kind of programming language. CMK-lang (or just CMK) is multiparadigm with diverse influences, from functional to concatenative, ultimately specializing in things like extensibility, interoperability, DAGs, and dispatch. CMK is a superset of Makefile that can be transpiled to vanilla Makefile. And it is what is known as a matrioshka language. Paraphrasing the definition from esolangs-wiki:
> A matrioshka language is formed by bundling one or more meta-languages with one or more language descriptions. They can be identified by their program forms, which have multiple, distinct 'phases' with different syntactic and semantic rules. There are often two phases; the first gives a set of rules, and the second provides objects on which those rules are to be applied.
In CMK-lang, matrioshka "objects" are things like container-runtimes or foreign interpreters, and "rules" are DAGs in the form of tasks, task-groups, or foreign code. For those interested in matrioshkas and topics in PLT, I suggest the alternate landing pages at footnotes 6-9.
Love it or hate it, I think you'll agree that compose.mk is easily the biggest, baddest, most highly powered mutant Makefile the world has ever seen. If it helps you can think of CMK-lang as a PoC that's waiting for another back-end implementation ;) Playing around with it has convinced me though that the gap is real, and the world really needs containers-first matrioshka languages that work locally, and aren't tightly coupled to bulky remote platforms or infrastructure. It also needs languages that are capable of aggressively reusing and recombining existing code and existing tools.
[1]: https://robot-wranglers.github.io/compose.mk/standard-lib [2]: https://robot-wranglers.github.io/compose.mk/bridge [3]: https://robot-wranglers.github.io/compose.mk/container-dispa... [4]: https://robot-wranglers.github.io/compose.mk/demos/polyglots [5]: https://robot-wranglers.github.io/compose.mk/json [6]: https://robot-wranglers.github.io/compose.mk/matrioshka [7]: https://robot-wranglers.github.io/compose.mk/language [8]: https://robot-wranglers.github.io/compose.mk/compiler [9]: https://robot-wranglers.github.io/compose.mk/demos/packaging

value: Show HN: Makefiles, Metalanguages, Matrioshka Automata

author: robot-wrangler


value:
I’ve been working on a small project called StoryStory, an AI-powered storytelling studio that lets anyone create fully illustrated and narrated children’s stories in a few minutes.
You type a prompt, choose tone and age group, and StoryStory generates a complete story with:
AI-generated storyline
Page-by-page illustrations using Gemini 3 Pro
30+ narrator voices (Gemini TTS)
Auto-play reading mode
Public library with community stories
It’s built for parents, teachers, and anyone who wants to create personalized stories without needing design or narration skills.
Would love feedback from the HN community — especially around UX, pricing, and generation speed.
You can try it here: https://storystory.online/
Happy to answer technical questions!

value: Show HN: StoryStory – AI-generated illustrated and narrated children's stories


value: mreichhoff

value:
I made a simple Chrome extension that:
* color codes Chinese text based on the tone of each syllable
* provides a popup dictionary
* gives example sentences, useful links, and AI analysis while you browse
* integrates with Anki Connect for 1-click flashcard creation
It can be installed here:
https://chromewebstore.google.com/detail/chinese-learning-ex...

value: Show HN: Curious about tones in Chinese? An extension for language learners

author: mreichhoff


value: osigurdson

value:
Hi all,
I created a public dashboard for searching / chatting with "What are you working on?" posts.
I'd love to hear any feedback that you have.

value: Show HN: Search tool for "Ask HN: What Are You Working On?"

author: osigurdson


value: ItsKaranKK

value: Show HN: I Built it because you Hate CSS

author: ItsKaranKK


value: marcustas

value: Show HN: Testing an AI-first HTML landing page for LLM crawling

author: marcustas


value: patriceckhart

value:
The Protobuf definition is published openly:
https://github.com/genesisdb-io/genesisdb-io-proto
Genesis DB also exposes gRPC Server Reflection, so clients can introspect the service without needing the .proto file locally (useful for tools like grpcurl, kreya, or dynamic client generation).

value: Show HN: Genesis DB now provides a full gRPC API alongside HTTP

author: patriceckhart


value: mofle

value: Show HN: Menu Bar World Clocks

author: mofle

title: Show HN: Menu Bar World Clocks


value: pgte

value: Show HN: Open-source AI shift scheduler and workforce management platform

author: pgte


value: behnamazimi

value: Show HN: OhNiceRepo – Easily discover trending GitHub gems and repos

author: behnamazimi


value: bilekas

value: Show HN: NFOArchive. A modern, retro-styled NFO file archive and viewer

author: bilekas


value:
Hey HN, solo dev here. After years of frustration with how LLMs handle complex documents, especially PDFs with tables, I decided to build a solution myself. My approach uses a Markdown conversion step to preserve the table structure, which seems to work surprisingly well for chunking.
This little parser is the first public piece of a much larger, privacy-focused AI platform I'm building. I'm pretty much running on fumes financially, so any feedback, critique, or support is massively appreciated.
Happy to answer any questions about the approach!

value: Show HN: Built a tool solve the nightmare of chunking tables in PDF vs. Markdown


value:
.env files have always felt archaic, insecure, clunky and honestly just not fun to work with. I see my friends (and myself) accidentally committing them all the time. Managing secrets across projects becomes a mess of copy-pasting keys into scattered env files with no real way to sync anything.
So I built better-env: a secure, developer-friendly alternative to .env.
Store your secrets once in a global encrypted store, and load them per-project at runtime.
I’d love feedback on whether this feels useful beyond solo devs, and what you’d want for teams or CI setups.
Fully open source: https://github.com/HarishChandran3304/better-env

value: Show HN: I just fixed .env once and for all – better-env


value:
AwardLocker searches award availability across multiple airlines in real time. Results stream in as they're found, so you see options immediately.
Backstory: I've been working on this in my spare time. I enjoy award travel searches, and I wanted to contribute something useful to the space. Existing tools often have suboptimal search experiences—poor date selection, slow results, and limited flexibility, and SLOW SLOW SLOW websites. Airline website are slow, and my credit card strategy allows to transfer to multiple airlines.
I built this to parallelize searches across all airlines and show results as they arrive.
What's different: Instead of waiting for all results, flights appear as they're found. You can search multiple airlines at once, use multi-city codes (EUR, TYO, NYC, USA, etc.), and compare economy, premium, business, and first across programs in one place. I wanted something similar to google search, without all the riff raff of other point search tools. Simple start + end date, and location.
Current coverage: Alaska, American, Virgin Atlantic. Others are in progress.
Try it: https://awardlocker.com — no signup required for the free tier (14-day search window). Pro ($7.49/month) adds 18-month searches and 31-day date blocks. Use code HN20 for 20% off Pro subscriptions :^)
Explicitly looking for feedback on:
- UX
- What features people want next
- What airlines people want to support the most
- Any other features to improve the search?
If anyone prefers feedback via email: tsb[at]awardlocker.com
There are some known issues im buttoning up:
- Bypassing bot detection on airlines isn't bullet proof, sometimes requests will fail.

value: Show HN: AwardLocker – Real-time award flight search


value:
Hey HN,
At 58, I'm finally leaving corporate to build what I should have built years ago. First project: solving my own terrible habit.
PROBLEM:
Chronic tab hoarder. 100+ tabs open constantly. MacBook drowning - 7.2GB RAM, 6.3GB swap thrashing, fans screaming like jet engines.
SOLUTION:
Tab Freezer "freezes" inactive tabs using chrome.tabs.discard() API. Tabs stay in tab bar but stop consuming resources.
REAL TEST RESULTS (84 tabs):
• Before: 7.2GB RAM, 6.3GB swap
• After freezing: 6.6GB RAM, 3.2GB swap
• Total saved: 3.1GB swap
The surprise: I closed all 84 tabs to compare - got almost identical numbers to the frozen state.
Frozen tabs ≈ closed tabs, except you keep your workflow.
KEY INSIGHT:
Swap reduction matters more than RAM for most people. If you're still on HDD (many are), 3GB less swap = massive performance difference. Even with SSD: better battery, less disk wear.
FEATURES:
• Auto-suspend after X minutes inactivity
• Whitelist for sites that should never freeze
• Works on Chrome/Edge/Firefox
• No tracking, all local
TECH:
Simple browser API usage - chrome.tabs.discard() does the heavy lifting. No AI, no blockchain, just solid browser APIs doing what they're meant to do.
€9.99 one-time (early bird for 2 weeks).
Chrome: https://chromewebstore.google.com/detail/tab-freezer/ajocdmn...
Edge: https://microsoftedge.microsoft.com/addons/detail/tab-freeze...
Firefox: https://addons.mozilla.org/en-US/firefox/addon/tab-freezer-p...
Feedback welcome - especially on whitelist UX.
Fellow tab hoarders, be honest: how many tabs do you have open right now?

value: Show HN: Tab Freezer – Saved 3.1GB swap with 84 tabs open


value: ufvy

value:
Hi HN! I'm launching Gigs.Quest, a platform where startups can hire freelancers instantly through live video rooms.
Problem: Traditional freelancing platforms are slow. You post a job, wait for proposals, interview candidates, negotiate rates, then finally start work. For quick tasks, this is overkill.
Solution: Create a room, describe what you need, and qualified talent joins live within 5-12 minutes. Collaborate via HD video and screen sharing. Pay per second ($0.02/sec = $72/hr). All sessions recorded.
Why this works:
• For startups: Get immediate help without hiring overhead
• For freelancers: Monetize expertise without bidding/proposals
• Trust: All sessions recorded, transparent earnings, Stripe-backed payments
Real use cases from beta:
• Debugging production outage (saved 3 hours vs hiring process)
• Quick design mockup review (12 min session, $14 cost)
• Architecture consultation for new feature (45 min, $54)
Tech details:
• Pre-authorization holds that scale (start at $5, double at 80% usage)
• LiveKit for video infrastructure
• Convex for real-time database
• Stripe Connect for instant payouts
Challenges I'm working on:
1. Quality control (how to prevent low-quality participants?)
2. Discovery (how do freelancers find rooms?)
3. Pricing (is $72/hr the right rate?)
I'd love feedback from both sides of the marketplace. What am I missing?
Live at: https://gigs.quest

value: Show HN: Real-time freelancer marketplace with per-second billing

author: ufvy


value: ortwic

value:
Hi @all,
For my other project I needed a way to get data in Firestore. There is FireCMS or Flamelink, but I was very unhappy with those solutions.
So I decided to built my own headless CMS. It's very minimal and lightweight. It uses a simplified version of the FireCMS data models and can derive them from existing data. However, handling sub-collections, editing content, and managing storage content is easier.
It's a SPA with PWA support written in Svelte 4 and runs fully in the browser (no backend). Metadata models is stored directly in your Firestore (as __schema). For now they can be edited as JSON only.
If you want to play around, you can use the firebase emulator suite too.
More infos at github or check out the online live demo: https://fl-cms.web.app
Important note: ATM it's released as a MVP. Working with it possible but not all eventualities are implemented yet since the other projects must go on too.

value: Show HN: Simple Headless CMS for Firestore and Storage (Built with Svelte)

author: ortwic


value:
I’m excited to share a new productivity app I recently released on the Play Store. It was born out of pure necessity to solve a problem I am constantly faced with: cognitive overload and task paralysis.
Since traditional to-do apps only added to the mental noise, I eventually built a small tool for myself called Ilseon. I needed something that would actually reduce cognitive load.
I have added some features that helps me in my daily chaos:
Context filtering: I work better when I only see what belongs to the role I’m currently in (Work, Family, Health, etc.). Switching context hides everything else, which stops me from bouncing between unrelated tasks or getting overwhelmed by a big master list.
Time blocks with a big visible countdown: This externalises time for me in a way alarms or calendars never did. It gives me one clear block to focus on, and the timer helps with time blindness without being stressful. Still figuring out if adding alarms is a good idea or not..
A quick reflection loop: After finishing something, I jot down a short note about how it went. Over time I’ve noticed patterns which has been surprisingly helpful for understanding my own behaviour instead of feeling like every day resets.
I also added things I personally rely on, like speech-to-text through my headphones and a low-sensory-load dark mode.
I originally made this for myself, but since it’s open source I figured it might be useful to others who deal with similar things. If it’s helpful, great; just wanted to put it out there in case someone else is wrestling with the same issues I am.

value: Show HN: Ilseon, a Minimalist Focus Filter


value: bobcoi

value: a cli tool to automate writing of git commit messages

value: Show HN: Gyti – Never write another Git commit message

author: bobcoi


value: abliterationai

value:
Abliteration.ai A less‑filtered LLM chat and API aimed at developers who are tired of “I’m sorry, I can’t help with that” for legitimate use cases.
What’s there today: – Web chat interface – /v1/chat endpoint with simple JSON payload – Instant API keys + small free tier – Quickstart examples in curl<p>I’d really appreciate feedback on: – The offering - API design / DX (what feels rough?)

value: Show HN: Less‑filtered LLM chat and API

author: abliterationai

title: Show HN: Less‑filtered LLM chat and API


value: stoccupied

value: Show HN: Regex Challenge – Daily regex puzzles

author: stoccupied


value: rickcarlino

value: Show HN: ESLint-plugin-no-else-if

author: rickcarlino

title: Show HN: ESLint-plugin-no-else-if


value: aidanvalero

value:
We're building a SaaS license management tool and kept hearing the same story: "We know we're wasting money on unused licenses, but we don't know how much."
So we built a dead-simple calculator. One slider (employee count) → three estimates:
• Total SaaS apps (~13 per employee)
• Annual waste (~$250/employee on ghost accounts, unused seats)
• IT time burned on manual tracking
The ratios come from industry research + early customer data. Curious if HN folks are seeing similar patterns at their companies - are we close? Way off?
(Also: feedback on the calculator UX welcome. Tried to make it ridiculously simple.)

value: Show HN: SaaS waste calculator (most waste –$250/employee/year)

author: aidanvalero


value: mrorigo

value:
Hey HN — I’ve built BlankTrace, a cross-platform (Linux/macOS) Rust CLI/daemon that acts as a local HTTP/HTTPS MITM proxy to anonymize your browser traffic.
## What it does / Why you might use it
Randomizes browser fingerprint: rotates User‑Agent (via rand_agents) and Accept‑Language headers.
- Strips or blocks cookies on requests/responses.
- Regex‑based tracker / domain blocking with whitelist support.
- Runs as a MITM proxy on localhost:8080 with full TLS interception (generates its own CA) for HTTPS.
- Logs proxy activity asynchronously into SQLite (requests, blocked domains, fingerprint rotations, cookie behavior).
- Provides a CLI interface: view stats, manage whitelist/blocklist, export data, etc.
## Technical details
- Written in Rust.
- Uses: hudsucker (for the MITM proxy), rand_agents (for realistic UA rotation), rusqlite (logging), tokio, clap etc.
- Configuration via config.yaml, allowing you to tune rotation mode, block patterns, retention policy, and more.
- Logging schema includes tables for domains, IPs, cookie attempts, fingerprint rotations, etc.
Requires trusting the generated CA certificate in your browser / OS for HTTPS interception.
MIT‑licensed.
## Current status
- Proxy is fully functional: HTTP/HTTPS interception works.
- Fingerprint randomization is working across requests.
- Cookie stripping and domain blocking are implemented.
- Async logging to SQLite is operational.
- Graceful shutdown, CA persistence, and log cleanup are supported.
- Known limitation: manual installation of the CA cert is required to intercept HTTPS.
## Why I built this
I wanted a lightweight, performant, and configurable proxy for browsing with more privacy — without relying on heavyweight browser extensions. BlankTrace gives you control over fingerprinting, cookies, and trackers, all under your own daemon.
## Get started
- GitHub repo: https://github.com/mrorigo/blanktrace
- Project homepage / docs: https://mrorigo.github.io/blanktrace/
- Build: cargo build --release → run ./target/release/blanktrace
Trust the generated CA certificate in your system / browser to enable HTTPS interception.
Use CLI: blanktrace stats, domains, whitelist, export, etc.
## Feedback / Help Wanted
I’d love feedback on configuration UX (are the defaults sane? what settings do you want exposed?)
It's new — testing on different platforms / browsers would help ensure stability.
Contributions (code, documentation, detection rules) are very welcome.
If you care about privacy, fingerprint randomization, or want to better understand your browser’s network behavior — I’d appreciate you checking it out.

value: Show HN: BlankTrace – a Rust‑based MitM proxy to anonymize browser traffic

author: mrorigo


value: kevinslin

value:
This past quarter has been awash with sophisticated npm supply chain attacks like [Shai-Hulud](https://www.cisa.gov/news-events/alerts/2025/09/23/widesprea...() and the [Chalk/debug Compromise](https://www.wiz.io/blog/widespread-npm-supply-chain-attack-b...). This CLI helps protect users from recently compromised packages by only downloading packages that have been public for a while (default is 90 days or older).
Install: npm install -g @dendronhq/safe-npm
Usage: safe-npm install react@^18 lodash
How it works:
- Queries npm registry for all versions matching your semver range
- Filters out anything published in the last 90 days
- Installs the newest "aged" version
Limitations:
- Won't protect against packages malicious from day one
- Doesn't control transitive dependencies (yet - looking into overrides)
- Delays access to legitimate new features
This is meant as a 80/20 measure against recently compromised NPM packages and is not a silver bullet. Please give it a try and let me know if you have feedback.

value: Show HN: Safe-NPM – only install packages that are +90 days old

author: kevinslin


value: A fun toy memory allocator (not thread safe, that's a future TODO). I also wanted to explain how I approached it, so I also wrote a tutorial blog post (~20 minute read) covering the code which you can find the link to in the README.

value: Show HN: I wrote a minimal memory allocator in C


value: photonboom

value: Show HN: I made the Samsung alarm into a real music box

author: photonboom


value: AnotherVinyasa

value:
I've been working on this browser based Conway's Game of Life simulator for a while now and would love to share it with you guys.<p>Any feedback would be very welcome :) Features include:<p>- WebAssembly based Hashlife implementation capable of running very large patterns
- View multiple generations in 3D (even in VR if you want to)
- Keyboard and touch controls
- Opens MC and RLE files, saves MC files
- Pattern library with over 4,400 patterns
- Nav map
- Installable PWA - use the app even while offline

value: Show HN: Slice of Life: web based Game of Life simulator

author: AnotherVinyasa


value: egykettoharo

value:
Hello HN,
I’m the creator of Revisit (https://revisit.pro), a session recording and analytics platform.
We built this because existing tools (FullStory, Smartlook) force you to manually watch thousands of user sessions to find one bug. We wanted an AI that could watch the sessions for us and just tell us why users are churning.
The "AI" Architecture
- Store Events: We record DOM events, console logs, network requests, and assets using a lightweight script.
- Replay & Render: On the backend, we spin up a headless browser (Puppeteer) to replay the session exactly as the user saw it.
- Video Generation: We convert that replay into a physical video file.
- Visual Analysis: We send that actual video file to Gemini
This allows the AI to "see" the session like a human does. It can detect visual glitches, rage clicks, and confusing layouts that code-based analysis might miss.
Project-Wide Chat
- Beyond single-session analysis, we built a project-wide chat assistant.
Contextual Answers: The AI retrieves the most relevant sessions, "watches" the key moments, and writes an answer backed by video evidence.
Features
- Deep Context: We capture everything—console logs, network payloads, and assets—so you can debug issues without asking users for screenshots.
- Unlimited Seats: We don't charge per seat. Bring your whole team.
- Privacy First: Built-in masking for sensitive data before it leaves the user's browser.
- And much more.
We are currently open for signups and would love feedback on the analysis quality!
-Martin

value: Show HN: Revisit – Session recording analysis that "watches" the video

author: egykettoharo


value:
Solves the "blind AI" issue without the manual copy-pasting.
It’s an MCP server that gives LLMs real-time visibility into your local execution environment and can run auto-fix.
Terminal: CLI wrapper pipes stdout/stderr (and preserves ANSI colors) to the model.
Browser: Chrome extension uses Native Messaging to capture Console logs and Network errors (4xx/5xx).
Security: Runs locally with regex-based secret redaction (keys, JWTs) before the LLM reads anything.
Works with any MCP client (Cursor, Windsurf, Claude Desktop).
https://github.com/Ami3466/ai-live-log-bridge

value: Show HN: AI Live Log Bridge- Feeds Cursor/Claude Terminal+browser Logs via MCP


value:
PR Guard is a tool designed to assist reviewers in dealing with the increasing number of PRs as a result of AI assisted programming.
AI assisted programming isn't inherently bad, but it does allow contributions from people who may not understand what exactly they are contributing. PR Guard aims to stop this.
It works by:
- Passing the diff of a PR to an LLM
- The LLM returns 3 questions which the author must answer
- The LLM then reviews the answers and decides whether or not they show the author understands their code
The point is to relieve some pressure on reviewers AND to enable users of AI assisted programming to learn in a new and engaging way.

value: Show HN: PR Guard – A GitHub Action to ensure authors understand their PRs


value: adamfils

value: I tested Gemini 3’s new "vibe coding" capabilities against my own design tool.<p>The result? AESTHEAI is powered by Google's most intelligent model yet.

value: Show HN: Aestheai – Text-to-UI Generator Powered by Gemini 3 (Export to Lovable)

author: adamfils


value: StellaMary

value: Show HN: Now everyone can write JavaScript API in Rust

author: StellaMary


value: markrogersjr

value: Show HN: GPT-OSS Flash Attention via Native PyTorch SDPA

author: markrogersjr


value: Show HN: YipYap – I wanted something to tell me what to do with my Stripe KPIs


value: datvo

value: Show HN: React-obj-view – A virtualized object inspector for large datasets

author: datvo


value: andai

value:
Hi HN. Here's an idea I've been sitting on for a long time!
Many moons ago I started listening to the sounds outside through my microphone. The most fascinating ones were the birdsong. I also learned that if you slow them down, they sound like dinosaurs, or whales.
Also spectrograms are very cool.
I decided to finally make a video of the result and share it with the world :)
The source audio here isn't mine (I don't have a good mic at the moment), it comes from an Australian birdwatching group: https://www.youtube.com/watch?v=alEXh6g5WSU
I slowed it down in Audacity, then made the visualization with FL Studio.
I recorded the visualization with ffmpeg. (Turns out my computer can handle that, I just needed `preset -ultrafast`... the more you know!)
Let me know what you think! Is anyone else playing with spectrograms?

value: Show HN: I slowed down and visualized birdsong [video]

author: andai


value: kurtswendson

value: Show HN: 3M km interferometer concept using Saturn moons

author: kurtswendson


value: wdpatti

value: I made a free tool that stuns LLMs with invisible Unicode characters.<p>*Use cases:* Anti-plagiarism, text obfuscation against LLM scrapers, or just for fun!<p>Even just one word's worth of “gibberified” text is enough to block most LLMs from responding coherently.

value: Show HN: Stun LLMs with thousands of invisible Unicode characters

author: wdpatti


value: bgkkdev

value: Show HN: KNothing – A privacy-first, client-side developer tool station (Nuxt 3)

author: bgkkdev


value: vicdup

value:
My family kept running into the same problem every year:
How do you share a long list of gift ideas with multiple people — without ending up with duplicates?
This weekend I decided to fix it — and benchmark the new wave of AI coding assistants at the same time:
Claude Code, Claude Code Web, Google Antigravity, and OpenAI Codex, with visuals from Google Nano Banana and ChatGPT.
Claude Code Web was by far the best autonomous agent — it planned, iterated, and wrote tests almost like a cofounder. I even ran five sessions in parallel from my phone until I hit the session cap.
The result: WishDrop.io
A small app that helps families and friends coordinate gifts without duplicates.
No login, instant sharing, real-time reservations.
Even the name (and domain check!) came from AI.
Built with Next.js 16, Turso, Prisma, Resend, Tailwind 4, and deployed on Vercel — a reminder that modern stacks now feel lightyears ahead of Big Cloud setups.
Go test it  wishdrop.io
(And yes, you can probably break it if you try )

value: Show HN: WishDrop – AI-built gift coordination app (Claude Code, Nano Banana)

author: vicdup


value: graiz

value: Show HN: SitStand – Control your standing desk from the command line

author: graiz


value: cebert

value: Show HN: I wrote a site to aggregate Anthropic related news

author: cebert


value: gamesparkapp

value: I made a mobile first platform where people can use chat with AI to make games and record game content. People can also remix games others have created. These games are simple, but I've had a lot of fun making and playing on the platform. It's got some rough edges, i'm still working on it. But I'm hoping for some feedback. Hope players find it as enjoyable as I do and it can turn into something big.

value: Show HN: TikTok-Meets-AI-Game-Maker Platform

author: gamesparkapp


value: daimajia

value: Show HN: I built a free kids coloring site with AI

author: daimajia


value: Show HN: Antigravity – IDE-native scaffold turns Cursor into Agent Architect


value: jamescampbell

value: A RETRO TERMINAL WEATHER EXPERIENCE

value: Show HN: WeatherOrNot a maximal weather app in the terminal

author: jamescampbell

story_text: A RETRO TERMINAL WEATHER EXPERIENCE


value: moseszhu

value: Show HN: Simulating the vacuum as a superfluid to derive Alpha = 1/137

author: moseszhu


value: chelbi

value:
Hi HN!<p>I built a tool called Qdrant Vector Aggregator to solve a common problem in vector-DB workflows:
You store chunk embeddings in Qdrant, but later you want document-level embeddings without losing the full document text.

value: Show HN: Qdrant Vector Aggregator

author: chelbi

title: Show HN: Qdrant Vector Aggregator


value: orionfollett

value: I don't think this can be called an emulator since it accepts assembly as text (like an assembler) instead of a compiled executable. But still a fun educational project. I welcome any feedback.

value: Show HN: Implementing a core subset of ARM assembly in pure C89

author: orionfollett


value: noelfranthomas

value:
My team has worked for F500s, startups, and everything in between.
In every case, we found it almost impossible to assemble an ideal dataset for training models. In real-world systems, the information you actually need is scattered across 30–300+ tables, stored in different warehouses, parquets, CSVs, and legacy DBs that nobody fully understands anymore.
We realized the real job isn’t ETL (too wide), or feature engineering (too narrow) it’s constructing the ideal representation of the problem so downstream models can actually learn something meaningful.
So we built Norma, an optimization-first data platform. It does the things every ML team wishes their stack would do:
 1. Unity Catalog integration that works out of the box - connect a warehouse, instantly browse tables with lineage, schemas, and metadata.
2. A unified SQL/Python pipeline engine - both languages execute in the same memory buffer (via DuckDB), so no more glue code or brittle data hops.
3. An AI assistant for transformations - ask for a feature, a join, an explanation, a visualization (generates pipeline steps).
4. Multi-bandit 5-fold cross-validation - fast, automatic evaluation of transformed datasets with xgboost.
5. Visual lineage + shared datasets - every step is inspectable, reproducible, and sharable across teams.
That’s what we have today.
We’re still building:
- Automatic leakage detection (timestamp violations, post-outcome signals, unsafe joins)
- Relevant table discovery (find the tables that actually matter for predicting your target)
- Relevant row selection (especially for PFN-style models with row limits)
- Automated feature representation (scaling, encoding, aggregation, embeddings)
- AutoGluon + TabPFN integration (train strong models on normalized, optimized datasets)
- Differential privacy guardrails for LLM usage inside your data workflows
We’re trying to build the equivalent of a representation compiler:
raw warehouse → optimal feature space → any model or BI tool.
If you’ve ever lost days hunting through a schema, debugging leakage, redoing feature pipelines, or trying to understand why a model plateaus even though your data is “fine,” I’d genuinely love your feedback. We’re still working closely with teams to refine our features and capabilities, and we’d love to share a private beta with your team. Please join the waitlist!
Happy to answer anything here.

value: Show HN: Norma – build good datasets (using an objective)

author: noelfranthomas


value: jordancj

value: Was annoyed when working on side projects while using Claude/Codex and having it regain context. Built this to just save llm tokens and time remembering everything about a project at a high level.

value: Show HN: I built a CLI tool to map your codebase for LLMs

author: jordancj


value: abrdk

value:
Outliers - a time-series outlier detector.
Demo: https://outliers.up.railway.app/
GitHub: https://github.com/andrewbrdk/Outliers
The service runs outlier-detection algorithms on time-series metrics and alerts you when outliers are found.
Supported:
-PostgreSQL
-Email & Slack notifications
-Detection Methods: Threshold, Deviation from the Mean, Interquartile Range
Give it a try!

value: Show HN: Outliers-Series Outlier Detector

author: abrdk


value: techxeni

value: Antigravity AI Directory is a game-changer for developers looking to leverage autonomous AI workflows, premium prompts and MCPs. Its focus on modern development stacks and real-time collaboration makes building scalable, maintainable apps easier than ever. Excited to see how this revolutionizes AI-driven software development!

value: Show HN: Antigravity AI Directory – Premium Prompts for Google's New IDE

author: techxeni


value: Chrizzby

value: Show HN: SolveMyPainPoint | A single place to post and discover real problems

author: Chrizzby


value: grigio

value:
A real-time network connection monitoring tool built with Rust and GTK4, displaying active connections with live I/O statistics in a modern graphical interface.
https://github.com/grigio/network-monitor

value: Show HN: Network Monitor – a GUI to spot anomalous connections on your Linux

author: grigio


value: jumpdong

value: Welcome to try it for free

value: Show HN: Banana AI: An AI-Powered Web Tool for Image Editing

author: jumpdong

story_text: Welcome to try it for free


value:
Yesterday I shared my Ingest Kit here. Today I'm releasing the second part: The routing logic.
Problem: Blindly chunking every PDF leads to bad retrieval. Solution: A small LLM pass (Traffic Controller) that routes documents to semantic collections (Finance vs Tech) and selects chunking strategies (Table-Aware vs Standard) before ingestion.
It's a simple pattern using Pydantic to force structured decisions from local LLMs (Ollama).
Repo:  https://github.com/2dogsandanerd/smart-router-kit
Part1: https://github.com/2dogsandanerd/smart-ingest-kit

value: Show HN: Smart Router Kit – Prevent "Garbage in" for RAG Using Pydantic and LLMs


value: I built a free tool called Volume Shader. It's a web-based GPU performance testing tool that combines benchmarking with real-time 3D volume rendering visualization.<p>You can use it to stress test your graphics card and get performance metrics like FPS, frame times, and GPU utilization, all directly in your browser without needing any installation. It's cross-platform and works on any system with a WebGL-compatible browser.

value: Show HN: Volume Shader – GPU Performance Test with 3D Visualization


value: Show HN: EphemeralNet – Secure C++ P2P infrastructure for hostile networks


value: Show HN: Flag Waver, create and simulate realistic waving flags online

story_text: I built a free tool called Volume Shader. It's a web-based GPU performance testing tool that combines benchmarking with real-time 3D volume rendering visualization.<p>You can use it to stress test your graphics card and get performance metrics like FPS, frame times, and GPU utilization, all directly in your browser without needing any installation. It's cross-platform and works on any system with a WebGL-compatible browser.


value: Building a production-ready webhook delivery system from scratch takes weeks. Setting up webhook infrastructure, managing webhook queues, and handling webhook retries is complex.<p>Play around with this JavaScript code example template and have your own webhook delivery solution up and running in 5 minutes.

value: Show HN: Deploy a Production Webhook Delivery System in 5 Minutes


value: Show HN: Open-source tool to list sensitive, unauth & outdated APIs from code


value: rawraul

value:
I built this tool simply because I need it for myself. I'm not a native English speaker, and every time I write something, I like to double-check if the grammar is good
Key features:
- Fix grammar and clarity with one click
- Rephrase, shorten, or expand text instantly
- Generate content from scratch
- Translate to multiple languages
- Works on any website (no copy-pasting needed)
It's built with Next.js and Plasmo. I wanted something lightweight that stays out of the way until you need it.
I'd love to hear your feedback!

value: Show HN: Textpilot – Stop copy-pasting into ChatGPT

author: rawraul


value: tusharnaik

value:
I built python-uime, a simple tool that lets your Python functions say “make elegant UI forms out of me.”
Add a single @ui_enabled decorator and UI-Me library instantly generates a clean web control panel for your script — with forms for each argument, type-inferred inputs, grouped tabs, global variable setters, rich JSON output.
It is like a toned down version of python click-web. Or like Swagger UI, but for your Python functions, built entirely with vanilla HTML/CSS/JS + a small Flask server. No React, no design systems, no heavy front-end stack.<p>- Automatically maps function arguments
- Works with regular python functions
- It is UI first, and not CLI first
- Supports json and nested objects as inputs and responses.

value: Show HN: Python UI-ME – Bringing life to Python functions

author: tusharnaik


value: rpmoura

value:
Cruzes is an original daily word puzzle game where you drag letter sequences to form words.
Like Snake meets crosswords.
Suggestions and questions are highly appreciated. Thank you!

value: Show HN: Cruzes, a New Word Game

author: rpmoura

title: Show HN: Cruzes, a New Word Game


value:
Hey HN! I built a VS Code extension that shows you exactly how Go lays out your structs in memory and automatically fixes padding waste.
What it does:
Inline annotations showing byte offsets, sizes, and padding as you type
One-click optimization that reorders fields to eliminate waste
Diverse-architecture support (amd64, arm64, 386)
Hover for detailed memory layout info
Why it matters:
Poor field ordering in Go structs commonly wastes 10-30% of memory due to alignment padding. For example, a careless 56-byte struct can become 40 bytes just by reordering fields. At scale, this adds up — both in memory costs and cache performance.
Demo:
Before: 56 bytes
After auto-optimization: 40 bytes (-29%)
The extension highlights wasteful padding in real-time and offers a CodeLens button to fix it automatically.
Try it:
VS Code Marketplace: https://marketplace.visualstudio.com/items?itemName=RhinoSof...
GitHub: https://github.com/1rhino2/go-memory-visualizer
Built this after repeatedly optimizing structs manually in production code. Figured others might find it useful too.
Would love feedback on what other memory-related features would be helpful!

value: Show HN: Go Memory Visualizer, real-time struct layout and auto optimization


value: cybermaggedon

value:
TrustGraph now supports automatic knowledge graph construction guided by OWL ontologies. You provide an ontology (OWL/Turtle format or build one in the Workbench editor), point it at your documents, and it extracts entities and relationships that conform to your schema.
The problem this solves: generic GraphRAG approaches extract whatever relationships an LLM thinks are relevant, which often misses domain-specific semantics. If you're working in healthcare, finance, or intelligence analysis, you likely already have ontologies (or can adapt standards like SOSA, FIBO, etc.) that define what matters. TrustGraph uses these to constrain extraction, so the resulting graph reflects your domain model rather than the LLM's interpretation.
How it works: The ontology defines classes and properties. During extraction, the LLM is prompted to identify instances of those classes and relationships matching those properties. The output is validated against the schema before being written to the graph store.
Built on Apache Pulsar for scalability, supports multiple graph backends (Memgraph, FalkorDB, others), and runs locally or in cloud. Apache 2.0 licensed.
Repo: https://github.com/trustgraph-ai/trustgraph
Ontology RAG docs: https://docs.trustgraph.ai/guides/ontology-rag/
Happy to answer questions about the extraction approach or architecture.

value: Show HN: Ontology-driven knowledge graph extraction from text

author: cybermaggedon


value: luftaquila

value:
I built a DIY wireless datalogging platform called Monolith for Formula Student racing cars.
It is a combination of an open source credit-card sized hardware and a web client software.
The device can read CAN bus traffic, GPS signals, on-board IMU data and digital/analog inputs, and store them on SD card.
It can also wirelessly transmit real-time data, download stored records, and be reconfigured via the MQTT protocol.
All you need is the device, an MQTT broker and the self-hostable web client. (A driver and a car, too!)
The device's internet connection is provided by the Wi-Fi hotspot network of the driver's phone.

value: Show HN: Monolith - DIY Datalogger for Formula Student

author: luftaquila


value: teemingdev

value:
I built Receptionst after noticing a pattern across my own projects. Visitors would open the website chat widget, ask a question and leave before I could answer. If it happened during deep work I missed it. If it happened overnight I never saw it at all. It became obvious that I could not respond instantly which meant I was losing leads without realizing it.
I wanted something lightweight that acted like a receptionist by giving instant LLM powered answers based on my own content and by collecting lead details when visitors showed intent. I kept the scope narrow so setup is simple. You connect your site, add the info you want it to know and it starts responding with context from your docs, pricing pages and FAQs.
I am happy to answer questions about the tech choices, the prompting, or the things I would do differently.

value: Show HN: I built an LLM powered receptionist for website chats

author: teemingdev


value: akonan

value:
Hi HN! I built WireMD, a text-first wireframing tool that lets you design UIs as fast as you can type.
The core idea: wireframes should be version-controlled, reviewable in PRs, and editable without leaving your code editor/markdown editor.
Outputs in multiple formats including for example html (different styles), tailwind and json
Curious what HN thinks about the syntax design and whether this fills a gap in your workflow!

value: Show HN: WireMD – Design Wireframes in Markdown

author: akonan


value: Show HN: Text to SVG Path Online – Free SVG Converter for Fonts


value: FunnyGunther

value: Show HN: The AI Intellectual Property Paradox

author: FunnyGunther


value: SamTinnerholm

value:
Mintlify users have been begging for pre-filled API playground fields for months. The GitHub discussion has people literally saying "I just lost two hours of my day banging my head against this issue." (https://github.com/orgs/mintlify/discussions/759) The problem? When you click "Try it" in Mintlify's playground, every field is empty, even though your OpenAPI spec has perfectly good example values sitting right there. Your developers have to manually type or copy-paste data just to test a single endpoint. It's 2025. This is insane.
So we built madrasly. Run
npx madrasly your-spec.json output-dir
and you get a fully interactive API playground with all fields pre-populated from your OpenAPI examples. Path parameters, query params, request bodies—everything just works. One command, zero configuration, and your developers can actually test your API without wanting to throw their laptop. Check out the live demo or grab it from GitHub. If Mintlify won't fix it, we will.
Feel free to star us on GitHub! We also offer free hosting on our website (no paid tiers available). madrasly.com.

value: Show HN: Mintlify Ignored This Feature Request for 6 Months. Here's My Solution

author: SamTinnerholm


value: grandimam

value:
I kept running into the same problem as a developer: I forget commands I’ve already figured out.
Docker cleanup sequences. Deployments with 15 flags. Test commands that finally worked. Every time, I ended up digging through bash history or Googling. It was wasting mental energy.
So I built Qalam, a CLI that actually remembers commands.
What it does:
- Ask in natural language: “How do I kill the process on port 3000?”
- Save commands with meaningful names: “deploy” instead of cryptic abbreviations
- Automate workflows: my 5-command morning setup is now one command
- Keep everything local: no cloud, no privacy worries
- Zero configuration: works immediately
I’ve been using it for weeks. Deployments are foolproof. Morning setup is one command. When something breaks, I ask my terminal instead of Googling.
https://docs.qalam.dev
I’d be curious what others do to remember complex commands or automate repeated workflows.

value: Show HN: Qalam - a CLI that remembers commands

author: grandimam


value: abewheeler

value: Show HN: I built a quickstart for the new OpenAI apps-SDK-UI

author: abewheeler


value: DIYgod

value:
I’ve used RSS heavily for years (and maintain RSSHub https://news.ycombinator.com/item?id=24213682 ). I love the control RSS gives, but the “1,000+ unread” problem is real, and most readers don’t help with discovery or filtering noise.
So I built Folo, a modern open-source RSS reader ( 36k stars on GitHub: https://github.com/RSSNext/Folo ) that adds optional AI features without taking control away:
What it does:
- Timeline summaries: Daily “TL;DR” of everything new. https://cdn.follow.is/onboarding/3.1.mp4
- AI search/discovery: Ask for feeds on any topic. https://cdn.follow.is/onboarding/2.1.mp4
- Digest routines: Auto-summaries emailed each morning. https://cdn.follow.is/onboarding/3.2.png
- Article summaries & Q&A: Get key points or ask follow-ups. https://cdn.follow.is/onboarding/3.4.png
- Podcast/Video transcription: Read long episodes in minutes.
Even if you ignore the AI, it’s a great reader:
- Native RSSHub support (Twitter, Telegram, Instagram, GitHub, Hacker News, etc.)
- Specialized views for articles, social posts, images, and videos
- Built-in newsletter inbox
Available on desktop web: https://app.folo.is
Would appreciate feedback.

value: Show HN: Folo – an RSS reader that summarizes timeline and sends daily AI digest

author: DIYgod


value: makimilan

value: Show HN: Pulse-Field – O(N) AI Architecture (12x faster than Transformers)

author: makimilan


value: samdychen

value:
Hey HN! I built this over a weekend after Gemini 3 and Nano Banana Pro dropped. Thought it would be fun to see if a simple pipeline could generate full slides from one prompt.
The setup is straightforward:
Gemini 3 plans the deck, and Nano Banana Pro paints each slide as a single image: layout, text, visuals, everything. No templates, no manual tweaking.
It’s an weekend experiment, so plenty of rough edges: inconsistent styles, no fine-grained editing, and bugs probably running around freely. But it works, and it's free to try.
If you have feedback, ideas, or want to roast the approach, I’d love to hear it. Just exploring whether this is worth taking further.

value: Show HN: BananaSlides – A new way to generate slides

author: samdychen


value: thekarank

value:
Hey HN,
I'm Karan, and I'm a frontend developer
I built ogblocks.dev because many developers I know want their sites to feel polished but don’t enjoy writing CSS animations. Hand-coding animations is harder than it looks, and most existing libraries are either static, pricey, or not very customizable.
ogBlocks provides copy-paste animated UI components built with React, Framer Motion, and Tailwind. No installation required. Everything is fully customizable, responsive, and works in both JSX and TSX. It also includes a private repo, Discord access, and a free 107-page ebook.
My goal was to make practical animations accessible, even if you don’t enjoy working with CSS.
Lemme know what you think

value: Show HN: OgBlocks – Simple Copy-Paste Animated UI Components

author: thekarank


value: MakerLabsSv

value: Show HN: FormulaAI – Generate Excel formulas from plain English using AI

author: MakerLabsSv


value:
Easy to use, portable app to play midi music files on all flavours of Microsoft Windows.
Brief Background - Used midi playback way back in the days of Windows 95 for some fun and entertaining apps, but as Windows progressed, it seemed their midi support (for Win32 anyway) regressed in both startup speed and reliability.  Midi playback used to be near instant on Windows 95, but on later versions of Windows this was delayed to about 5-7 seconds.  And reliability became somewhat patchy.  This made working with midi a real headache.
Cynthia was built to test and enjoy midi music once again.  It's taken over a year of solid coding, recoding, testing, re-testing, and a lot more testing, and some hair pulling along the way, but finally Cynthia works pretty solidly on Windows now.
Some of Cynthia's Key Features:
* 25 built-in sample midis on a virtual disk - play right out-of-the box
* Play Modes: Once, Repeat One, Repeat All, All Once, Random
* Play ".mid", ".midi" and ".rmi" midi files in 0 and 1 formats
* Realtime track data indicators, channel output volume indicators with peak hold, 128 note usage indicators
* Volume Bars to display realtime average volume and bass volume levels
* Use an Xbox Controller to control Cynthia's main functions
* Large list capacity for handling thousands of midi files
* Switch between up to 10 midi playback devices in realtime
* Playback through a single midi device, or multiple simultaneous midi devices with lag and channel output support
* Custom built midi playback engine for high playback stability
* Custom built codebase for low-level work to GUI level
* Also runs on Linux/Mac (including apple silicon) via Wine
* Smart Source Code - compiles in Borland Delphi 3 and Lazarus 2
* MIT License
YouTube Video of Cynthia playing a midi:
https://youtu.be/IDEOQUboTvQ
GitHub Repo:
https://github.com/blaiz2023/Cynthia

value: Show HN: Cynthia – Reliably play MIDI music files – MIT / Portable / Windows


value: posterity

value:
Your analytics track clicks and page views. They don't track:
- Which button/form triggered which API call
- API call latency (users waited 45 seconds)
- 3rd party timeouts (Stripe, DocuSign, Salesforce)
- Client-side errors (request never completed)
- Performance by cohort (enterprise accounts see 10x slower)
We track UI interactions and connect them to the network requests they trigger (yours and 3rd parties). Showing you the complete aggregate, client-side experience by user and cohort.
See what's actually causing users to abandon:
"User clicks 'Connect Stripe' button -> 45s timeout -> gone."
Fix it, then message the affected users to recover them.
Built by former Klaviyo data & engineering leaders ($14M -> $1B+ ARR).
https://obris.io
30-second install, free tier, looking for 10 early users.

value: Show HN: Client-side data your analytics miss (API latency, 3rd party timeouts)

author: posterity


value: hazzadous

value:
hey hn, i’ve been working on an api to make it easy to know who your customers are, i would love your feedback.
what it does
send an email address, the api returns a json profile built from public data, things like: name, country, age, occupation, company, social handles and interests.
It’s a single endpoint (you can hit this endpoint without auth to get a demo of what it looks like):

  curl https://api.yolodex.ai/api/v1/email-enrichment \
    --request POST \
    --header 'Content-Type: application/json' \
    --data '{"email": "john.smith@example.com"}'

everyone gets 100 free, pricing is per _enriched profile_: 1 email ~ $0.03, but if i don’t find anything i wont charge you.
why i built it / what’s different
i once built open source intelligence tooling to investigate financial crime but for a recent project i needed to find out more about some customers, i tried apollo, clearbit, lusha, clay, etc but i found:
1. outdated data - the data about was out-of-date and misleading, emails didn’t work, etc
2. dubious data - i found lots of data like personal mobile numbers that i’m pretty sure no-one shared publicly or knowingly opted into being sold on
3. aggressive pricing - monthly/annual commitments, large gaps between plans, pay the same for empty profiles
4. painful setup - hard to find the right api, set it up, test it out etc
i used knowledge from criminal investigations to build an api that uses some of the same research patterns and entity resolution to find standardized information about people that is:
1. real-time
2. public info only (osint)
3. transparent simple pricing
4. 1 min to setup
what i’d love feedback on
* speed: are responses fast enough? would you trade-off speed for better data coverage?
* coverage: which fields will you use (or others you need)?
* pricing: is the pricing model sane?
* use-cases: what you need this type data for (i.e. example use cases)?
* accuracy: any examples where i got it badly wrong?
happy to answer technical questions in the thread and give more free credits to help anyone test

value: Show HN: Yolodex – real-time customer enrichment API

author: hazzadous


value: asim

value: Show HN: Mu – The Micro Network

author: asim

title: Show HN: Mu – The Micro Network


value: jackemerson

value:
Hey HN!
I'm Jack, the maker of ExportTok.
I built this tool because I spent hours manually copy-pasting TikTok comments for market research and wanted an easier way. With ExportTok, you can quickly export all comments from any TikTok video to CSV or Excel for analysis.
You do need to sign up to use it, but you don't need a TikTok account or credentials. The data includes usernames, timestamps, and engagement metrics. So far, users have exported over 500,000 comments.
Would love feedback:
1. What other data fields would be helpful?
2. Any privacy concerns?
3. Suggestions for use cases or improvements?
Thanks for checking it out!
Link: https://exporttok.com/

value: Show HN: I made a tool to export TikTok comments

author: jackemerson


value: ChernovAndrei

value:
We’ve built an MCP server that provides zero-shot time-series forecasting.
It uses foundation time-series models (like Chronos2) under the hood.
We’d love your feedback: https://github.com/S-FM/faim-mcp

value: Show HN: MCP Server for Time-Series Forecasting

author: ChernovAndrei


value: Show HN: I built an AI overlay to stop breaking my flow 50 times a day


value: zhisme

value:
Neovim plugin copy_with_context.nvim that copies code with context: file paths, line
numbers, and repository permalinks. Makes web AI coding assistants way more useful since they know exactly where code lives in your project.<p>v3 adds GitHub/GitLab/Bitbucket URL generation with commit SHAs. Zero dependencies.

value: Show HN: Copy code from Neovim with file paths and repo URLs for web AI

author: zhisme


value: Show HN: PvZ clone where Gemini3 wrote all the code and I provided the "AAA" art


value:
Hi HN,
Over the last few months, my team and I have been building a video editor for social media managers, and we just launched it last week. We’ve talked to dozens of professionals, and even though there are tons of video tools out there, the same problems kept coming up: captions that don’t line up, hours wasted cutting silences, managing multiple brands is hard, having to resize content for different platforms takes a lot of time, starting projects from scratch every time, and more.
Rendley was built specifically for these people, and we made it our goal to help them create better content, faster.
Speaking of features, we’ve got:
- An advanced video editor that is easy to use and works directly in your browser
- Captions that actually match the timing, so everything aligns with the right moment
- A silence remover that cuts all the empty parts
- AI integrations for generating videos, images, voiceovers, and avatars. We’ve got popular models, including Nano Banana, Sora 2, Veo 3, Heygen Avatars, and more.
There’s also a generous free tier that doesn’t apply any watermark to your videos, so even if you’re editing casually, you can use Rendley without limitations.
Would love to hear your feedback and how we can make the product better!

value: Show HN: A video editor for social media managers


value: nasedkinpv

value:
Features:
Natural language math: percentages, units, currencies
Live exchange rates (152 currencies + BTC)
Vim keybindings (Normal/Insert modes, hjkl, dd, etc.)
Variables and running totals
Syntax highlighting
Stack: Ratatui + Pest (PEG parser) + Tokio
Install:
# macOS
brew tap nasedkinpv/tap && brew install numr
# Arch
yay -S numr
GitHub: https://github.com/nasedkinpv/numr
Would love feedback on the code structure—it's a workspace with separate crates for core, editor, TUI, and CLI.

value: Show HN: Numr – A Vim-style TUI calculator for natural language math expressions

author: nasedkinpv


value: MaPla

value:
I have been working in tech for almost three decades and spent a large part of that time in environments where teams struggled with large and messy codebases. Security audits took days, sometimes weeks, and most tools required complex setup, pipelines, or config files before you could even start.
LegacyMind is my attempt to fix this. You upload your code as a single archive and get a complete security report within minutes. The platform detects vulnerabilities, outdated libraries, licenses, secrets, and other risks, and it highlights the exact lines along with clear mitigation guidance. Everything runs inside EU infrastructure and the code is deleted right after the scan.
I built this because I saw how much time teams lose when they inherit old systems or switch between modern and legacy stacks. I wanted a tool that simply works and gives teams a fast and honest picture of their code.
I would really appreciate feedback from the HN community, especially from anyone who deals with security, SRE work, or on boarding to unfamiliar codebases.

value: Show HN: Scan any codebase in seconds with clear fixes and no setup

author: MaPla


value: Show HN: I got strangers to turn their hands into turkeys


value: endanke

value:
Hey HN folks!
My music visualizer side-project just got a huge update, which extends it with a VJ toolkit.
I heard some people here were already familiar with Ferromagnetic and your kind words are super motivating!
Hope you like this update too, and looking forward to hear your feedback.

value: Show HN: Ferromagnetic Producer

author: endanke

title: Show HN: Ferromagnetic Producer


value:
Been annotating single-cell data for 7 years now. Got tired of second-guessing CellTypist/SingleR outputs in disease datasets. Reference methods pattern-match against atlases. Works until it doesn't: disease, ectopic expression, unexpected tissue context. You get an annotation label and no way to know it's wrong.
CyteType runs multiple LLM agents that propose and critique annotations and surface all the ambiguity instead of hiding it.
The output is an interactive report you can chat with to interrogate the reasoning. Linked cell ontology terms and relevant literature for each cluster. Confidence score and match score against author labels help with triaging.
Model-agnostic. Benchmarked across 16 LLMs and against reference-based methods. Integrates with Seurat/Scanpy/Anndata.

value: Show HN: CyteType – AI agents that annotate cell types in scRNA-seq data


value: cevian

value:
Hi HN,
I built a suite of tools to help ai generate better PostgreSQL code. The most interesting part is an opinionated set of skills to help it design better Postgres schemas. Also includes search over the manual.
Deployeable as both an MCP server and as a Claude Code Plugin.
I want to also include ecosystem docs and skills. Timescale (where I work) is already included. Looking for help with PostGIS and pgvector.
Full open source.

value: Show HN: Pg-aiguide – Write better PostgreSQL code with AI

author: cevian


value:
MCP clients load too many tool definitions into the model, which slows agents down and burns a lot of tokens.
I built a small MCP optimizer that avoids that and keeps the model lightweight.
Launched today, feedback is welcome.

value: Show HN: MCP Optimizer for faster, lower-token coding agents


value: certibee

value:
The problem is simple: you need organic traffic but content marketing takes forever. Keyword research, competitor analysis, figuring out what to write about, etc.
FastSEOFix handles everything for you. It scans your website, finds the best keywords and writes SEO optimized articles on autopilot.
Curious what you think about this and whether this actually solves your problems.

value: Show HN: Grow Your Organic Traffic with Automated SEO

author: certibee


value: ktwao

value:
I built this because I didn't trust Slack with API keys, and there are many other cases where I don’t want my shared secrets to be hanging around in chat windows.<p>Here is exactly how the encryption works-
1) You enter your secret
2) Your message is encrypted and a url is generated. Url contains the key for decrypting which is never passed to server.
3) Your encrypted message is send to server. Note that server don’t get the key to decrypt.
4)You have your URL which you can share.
5) On first time message read through URL, message is destroyed.

value: Show HN: I built a Zero-Knowledge text shredder that deletes data on read

author: ktwao


value: bricho

value:
Billing should be simple, composable, and flexible. But most tools are either too limited or too heavy. We wanted something in the middle, and made it open source.
Portcall gives your SaaS:
- Self-serve PLG checkout (payment provider agnostic)
- Entitlements as a first-class concept
- Usage metering built into the model
- Automated invoicing
- A unified product/pricing system that evolves with you as you grow
- And a lot more to come
Curious where billing has bitten you and what you'd want from a modern OSS billing engine.
Repo: https://github.com/useportcall/portcall
Demo: https://youtu.be/ZJ2sI-VnNiA?si=bVn4xskIcSLKg6hE

value: Show HN: Portcall – open-source billing engine for modern SaaS

author: bricho


value: Show HN: Wikijumps – Browse Wikipedia visually using well-traveled connections


value: anwarlaksir

value: Comza is a browser-based service that lets you make affordable international calls without apps or subscriptions. Start calling in minutes, pay only for what you use, enjoy secure encrypted connections, and reach anyone worldwide. First call is free!

value: Show HN: Call Anybody from the Browser

author: anwarlaksir

title: Show HN: Call Anybody from the Browser


value:
Last week, Google released Nano Banana Pro, and I was amazed by its drawing capabilities. So, I decided to experiment and built a tool that can generate multi-page manga.
Even though there are still some typos in the speech bubbles, the level of detail in the artwork is incredible. Here’s a demo of some manga generated with it:
https://github.com/Yutarop/comic-generator/blob/main/demo/le...
For the demo, I asked it to create a romantic comedy featuring Lena (often seen in computer science textbooks). And, I was surprised at how interesting the story turned out.
I’d love to hear what you think about this.

value: Show HN: Creating Multi-Page Manga with Google's Nano Banana Pro


value: victordg

value:
A dashboard of market sentiment indicators deliberately biased towards the opposite of whatever the crowd is doing right now.
This was also partly motivated by wanting to play with terminal aesthetics and dense user interfaces.
Indicators: CNN Fear&Greed, Put/Call ratio, AAII Sentiment Survey, BofA Sell-side indicator, among others — feedback appreciated on potential signals to track!
Disclaimer: this was ~70% vibe coded using Cursor / Claude Code.
Link: https://contrariansignals.com (free to access, subscription required to get daily alerts)

value: Show HN: Contrarian Signals – market sentiment indicators

author: victordg