value:
Posting on behalf of my friend, I'm spreading the word, and I find it quite useful, so I thought I'd share it with y'all
Hi HN!
Built gtime, a Python command-line utility to look up, compare, and convert time across global cities. It supports fuzzy search, favorites, meeting time conversion, and a live/watch mode — all with colorful terminal output via Rich.
Created this tool because existing CLI options felt too limited or clunky. gtime aims to make working with global times fast and pleasant, especially for remote teams or frequent schedulers.
Try it:
$ pip install gtime
GitHub: https://github.com/savitojs/gtime
Feedback, feature requests, and issues are welcome!

value: Show HN: Gtime – A colorful CLI tool to compare and convert time zones


value: anand-tan

value:
Tansive is an open-source platform to help teams securely integrate AI agents into real workflows.
I posted Tansive this morning on Show HN to no response. So here I shamelessly ride on recent story since that's the reason I built Tansive.
I've been impressed with what AI agents can do, especially in routine tasks where the human toil is real and probability of human error is higher.  But there are problems taking them to production.
For example:
- How do you prevent an agent or tools from leaking your data?
- How do you audit what an agent actually did when something goes wrong?
- When a workflow achieves an undesirable outcome, was it a bug in the tool, an incorrect prompt, a runaway agent, or a prompt injection attack?
- How do you verifiably make sure the agent didn't access Alice's records when responding to Bob's health question?
- How do you integrate agents with existing security policies and compliance requirements?
While DevOps scenarios gone wrong make for dramatic examples, most business processes that are automated need controls and guardrails.
I built Tansive to address these problems.
Here’s what Tansive enables:
- Runtime focus – Instead of focusing on building agents, Tansive focuses on their runtime execution - what they access, which tools they call, actions they take, and who triggered them.
- Declarative Catalog – A repository of agents, tools, their context and resources partitioned by environment, and segmented by namespaces, so policy rules can be defined over them.  Written in yaml (GitOps friendly)
- Runtime policy enforcement – For example, “this agent can restart pods, but only in dev.” or "a finance agent that can only reconcile certain accounts"
- Session pinning – Transform or restrict sensitive data via user-defined functions (e.g., "Bob's session cannot access Alice's data", or "if feature flag X is set, then inject a WHERE clause into all SQL queries the agent makes")
- Tamper-evident, hash-linked logs
- Write tools in any language - whatever your team uses - to integrate agent workflows in to your system.
Demo video: https://vimeo.com/1099257866?share=copy - a real example of policy enforcement and session pinning in action.
(Agent can restart pods in dev but not in prod;  A Health Bot pinned to one patient's ID cannot access another patient's record)
I also spent time thinking about how to get teams to adopt AI based automation. The biggest blocker I had faced was that every tool had to be written in Python using specific SDKs. This was a non-starter for teams already using different languages.
I realized that a generic agent that handles LLMs and tool calls, with functionality in language-agnostic tools, would work much better. Teams can write tools in whatever they already use - Go or Java for services, JavaScript for support, bash for ops.  And this will fit well in to any of today's popular agent frameworks.
Transforms came from asking 'How do I use my existing scripts, but adapt the LLM's input into a format my scripts can understand?'
Why this matters:
AI Agents are amazing, but the boring stuff around security boundaries, compliance, and predictable behavior are important for their adoption.  Tansive seeks to address that gap.
Tansive is in early alpha (v0.1.0) - intended for preview, but functional enough to try in real workflows in non-prod.
This field is nascent and my goal is to go after the easy, but the most pressing problems first, and build from there.
And I'd love feedback from anyone in infra or exploring AI agent security, integration, and compliance - or just curious to kick the tires.
Happy to answer questions and hear what you think!
GitHub: https://github.com/tansive/tansive
Docs: https://docs.tansive.io

value: Show HN: Did that MCP Server leak your database?

author: anand-tan


value: sirbraavos

value: Show HN: Mednotegen, medical synthetic note generator

author: sirbraavos


value: sirbread

value:
When I was younger, about 10, I remember constantly going into %AppData% in Windows and taking "snapshots" of my Minecraft worlds by copying them into a folder and putting a timestamp on them. Admittedly, it got pretty annoying.
A couple days ago, I saw my brother doing the exact same thing, but instead of .mcworld files, he was "backing up" image files by making copies of them and chucking them into a folder. He's a digital artist, and when I asked him to learn Git, he said, in these exact words, "What in the hacker crap is this?!"
Then I got an idea - if Git's a thing, but it's not too user-friendly for non-power users, what if I implement a GUI-based version manager? After all, I've seen my classmates in high school fiddle around with Google Docs' version history plenty; maybe this might be useful.
So, I spent the last few days building this. I call it "be kind, please rewind." You know, those stickers from Blockbuster cassettes.
It's a simple, local-only versioning tool that runs in the system tray. You point it at a file or a folder, and it automatically saves a snapshot every time a file changes (or on a timer if you prefer). There's no command line, no staging, no commits, no pushes. It's designed to be a simple safety net that you set once and forget about.
For my brother, I added a preview pane for images. For text files, it has a side-by-side diff viewer. You can add notes to each snapshot, and even give them custom names like "first draft" or "before i tried the new thing," so you're not just looking at a list of timestamps.
It's not meant to replace Git, but rather to be that simple "single-player" use case for designers, writers, students, and even beginner devs working on a single file who just want a simple undo history without the complexity of a full vcs.
It's built with Python and PyQt5. I'd be grateful if you'd take a look.
Source: https://github.com/sirbread/be-kind-please-rewind
Binary: https://github.com/sirbread/be-kind-please-rewind/releases/t...

value: Show HN: Git for Normies

author: sirbread

title: Show HN: Git for Normies


value: kemyd

value:
Hi!
We noticed that our users extensively use Shuffle (a visual editor for developers) in conjunction with Cursor. That's why we built the Shuffle CLI, a lightweight tool that creates a seamless bridge between Shuffle and Cursor.
With this CLI, you can:
* Sync your visual components from Shuffle directly into Cursor projects
* Automatically generate clean, editable code from your designs
* Keep your design and dev workflows tightly integrated without copy-pasting or re-exporting
We built this to reduce the friction between prototyping and production. If you're using Cursor as your IDE and Shuffle for layout and styling, this tool may be a good fit for you.
Here's how to test it quickly:
mkdir website
cd website
npx @shuffle-dev/cli get example-project .shuffle --rules=cursor
The project will be saved in the .shuffle directory so you can, for example, ask Cursor:
"Create a next.js app from the .shuffle directory"
In a real project, you can modify it in Shuffle and sync it after changes:
npx @shuffle-dev/cli sync <project_id>
And ask Cursor again: "Add new pages from .shuffle to my next.js app"
We haven't used MCP yet. We've tested it, but the CLI is better at maintaining consistency in format.

value: Show HN: Visual Editor for Cursor

author: kemyd

title: Show HN: Visual Editor for Cursor


value: fraco

value:
Hey HN!
We are Francesco and Lorenzo. After getting tired of having 42 tabs open, copying and pasting prompts around, and losing responses in random notes. We wanted a single place to do our job.
We built Necto Spaces with the intention of simplifying our own life. But we would love to expand our product to become the single place to do vibe working.
What Necto is: A customizable workspace made up of color-coded blocks, where each block serves a different purpose (chat, notes, bookmarks, and more). All your blocks work together, creating a shared context that any AI model can instantly access and use.
Would love your feedback and ideas
Thanks!

value: Show HN: Necto – A Unified AI Workspace

author: fraco

title: Show HN: Necto – A Unified AI Workspace


value: ZeeeTH

value:
I built ColdCopy because I was spending way too much time writing cold emails that still sounded generic.
The tool generates personalized outreach messages using AI. You fill out a form with your details + recipient info, pick your tone (professional/friendly/direct), and get a tailored email in 30 seconds.
Built with Next.js 14, TypeScript, and OpenAI API. Took about 3 days from idea to launch.
The hardest part was prompt engineering - getting the AI to generate emails that sound human rather than corporate template garbage. I created different prompts for each message type and tone combination.
Currently free to try (3 generations per day) while I gather feedback.
https://coldcopy.xyz
Happy to answer any questions about the build process or get feedback on the approach!

value: Show HN: ColdCopy – Generate personalized cold emails with AI

author: ZeeeTH


value:
Hey HN,
I made Mirror Real Estate (https://mirrorrealestate.com/), a side project I've been working on.
The goal was to create a clean, fast, global real estate listing site.
Today, I'm launching a new feature I've been working on for the past few months: a free, instant property valuation tool.
Why I built this: Most online home valuation tools (AVMs) are either simple lead-gen forms for real estate agents, are locked behind paywalls, or only work for a single country (like the US). I wanted to create a tool that was free, respected user privacy (no email required), and could provide a ballpark estimate for properties in multiple countries.
How it works (the fun part):
The valuation is generated by an Automated Valuation Model I built. Under the hood, it's a gradient boosting model (using XGBoost) that's been trained on a dataset of property features from recent sales and active listings. Key features include square footage, beds/baths, property type, and of course, location (lat/long).
The biggest technical challenge by far has been data wrangling—cleaning and normalizing property data from different countries, each with its own unique formatting and available fields, has been a monumental task.
The model is still evolving, and its accuracy is heavily dependent on the density of data available in a specific area. It's by no means a replacement for a formal appraisal from a certified professional, but it aims to be a useful starting point for homeowners or potential buyers.
I'd love to get the HN community's feedback.
If you feel comfortable, try it on a property you know. How does the estimate compare to reality?
What's your impression of the user experience?
What key features or data points do you think would most improve the model's accuracy?
Thanks for taking a look.

value: Show HN: I built a free property valuation tool for global real estate


value: lerax

value: Show HN: A Truth Table Generator Written in Common Lisp

author: lerax


value: airpaulg

value: I just launched Piplo on the iOS App Store tonight. Piplo helps you stay in touch with the people who matter to you. It provides smart reminders, flexible scheduling, and a simple design to make relationships feel natural again.<p>I hope that Piplo will serve you well. Please download and don't hesitate to use the feedback link in the app! Piplo will remain 100% free (i.e. no ads, in-app purchases) and, if you really insist on showing your appreciation, I added a link in the app settings to a Doctors Without Borders fundraiser.

value: Show HN: Piplo helps you stay in touch with the people who matter

author: airpaulg


value: artiomyak

value: Show HN: Remove water from speaker using specific frequency

author: artiomyak


value: jvanveen

value: Show HN: Expressio – Internationalization for humans, through AI

author: jvanveen


value: hadat

value:
Hey Hacker News,
I'm a long-time lurker and wanted to share a project I just finished building.
Like many React Native developers, I needed to add marker clustering to a map in my app. The most popular library for this, react-native-maps-clustering, was fantastic in its day but has become outdated and no longer works with modern versions of Expo, React Native, and their dependencies.
After hitting a wall of compatibility issues, I decided to take on the challenge of rewriting it from the ground up, focusing on a modern toolchain and a better developer experience.
The journey was a lot more challenging than I anticipated. It turned into a deep dive into solving dependency hell with different versions of @types/react, wrestling with build tool configurations for pnpm, bob, and ESLint, and ensuring everything was strictly typed with TypeScript. It felt like a classic case of yak shaving, but I was determined to create a solution that "just works" for developers today.
The result is RN Super Cluster, a performant, fully-typed, and easy-to-use clustering library for react-native-maps.
What it does:
It provides a <ClusteredMapView /> component that you can use as a drop-in replacement for the standard <MapView />. Any <Marker /> components you place inside will be automatically clustered.
Key Features:

    Modern & Maintained: Built with a modern toolchain and designed to be actively maintained.

    Fully-Typed: Written entirely in TypeScript to prevent common errors and improve autocompletion.

    High-Performance: Uses supercluster under the hood for extremely fast geospatial clustering.

    Spiderfier: At the maximum zoom level, overlapping markers automatically "spiderfy" (spread out on a spiral) so they can be individually tapped.

    Customizable: You can provide your own custom components for rendering clusters, and callbacks for handling press events.

This was a passion project born out of necessity, and I hope it can save other React Native developers the headaches I went through.
I would love to get your feedback, and contributions are more than welcome!
GitHub: https://github.com/suwi-lanji/rn-maps-clustering
NPM: https://www.npmjs.com/package/rn-maps-clustering
Thanks for checking it out!

value: Show HN: I rewrote an outdated React Native map clustering library

author: hadat


value: Show HN: Multi-session Claude Code manager with async workflow


value: mrborgen

value:
Hey HN,
I'm Per from Scrimba (YC S20), the code-learning platform.
There's been a lot of talk lately about whether AI tools are causing skill atrophy amongst developers. We get a front-row seat to this, and we see more and more students struggle with basic concepts, and building apps on their own. This is almost always a consequence of relying too much on ChatGPT and vibe coding tools.
So we built a small side project:
 https://devatrophy.com
It's a test of your core web dev knowledge — no handholding, no back rubs, no AI autocomplete. Just you, your brain, and 10 questions. There are three levels (Noobie, Le Chad, Hardcore), and the questions cover HTML, CSS, JavaScript, databases, and Node.
You’ll get a score at the end, plus a downloadable certificate for bragging rights (or public shaming).
Would love for you to try it and tell us what you think. And would be curious to hear if you're feeling any signs of "dev atrophy" yourself, or in your team?
PS: Ironically we decided to produce it by vibe coding on V0. Oh the irony.

value: Show HN: Dev atrophy test – Can you still code without AI?

author: mrborgen


value: Show HN: Personalized book recommendations with Lorekeep AI


value: skyzouw

value:
Hi HN,
I built StopAddict, a simple app to help people quit addictions by turning the process into a game. Each day you resist your addiction, you earn XP and level up, building a visible streak to keep you motivated.
I created this because I noticed that tracking progress and visualizing small wins helps maintain discipline, especially in the first weeks of quitting. The app is lightweight, distraction-free, and designed to give a clear sense of progress without social features or ads.
You can try it here: https://www.stopaddict.net/
Feedback is welcome, especially on features you would find useful while trying to quit an addiction or improve your discipline.
Thanks.

value: Show HN: StopAddict – Track and beat your addictions by gaining XP

author: skyzouw


value: Show HN: Fli – a go based CLI tool for AWS VPC Flow Logs analysis


value:
me and my friend built leaves, an obsidian plugin that automatically archives notes unless you actively tend to them (by editing or linking).
we thought of it after reading this article https://medium.com/westenberg/i-deleted-my-second-brain-b7a6.... most of our "second brain" content is just digital hoarding. notes without context or connections die after a set time, making space for what actually matters.
do you think artificial scarcity/decay could improve pkm systems? have you tried similar approaches to combat information overload in your own workflows?

value: Show HN: An obsidian plugin inspired by the 'I deleted my second brain' article


value: ddfourtwo

value: I made an attempt at making an agent first mcp server manager. I was inspired how cline does this, I found the UX of asking an agent to maintain its own mcp servers to be nice. But I didn’t like that it almost always ends in keys being exposed to the agent conversation (even if there are other safeties in place). This solution tries to maintain that the agent first UX while making efforts at security and ease of use. Feedback and contributions please.

value: Show HN: Agentic MCP Server Manager

author: ddfourtwo

title: Show HN: Agentic MCP Server Manager


value: soapdog

value: This is a little tool I made that can generate a website and an epub from a set of markdown/textile/asciidoctor files plus some control toml for configuration. It all happens client-side which is neat and private. It is a no-build application, so all the source code on the repo is exactly what is executed.

value: Show HN: Client-side ePub generation tool

author: soapdog


value: Show HN: A tool to receive the notifications you want, where you want


value: getToTheChopin

value:
I made a game that forces me to work out
Do a chin-up, save a cat!
Created with mediapipe AI vision (for body tracking) and threejs (for visuals and animations)
It runs in real-time in the browser
As next steps I want to:
* improve layout on mobile
* add a global scoreboard
* allow people to upload their own cat pictures to use in the game for extra motivation :)
please let me know of any feedback or ideas!
Live demo here (please help me save some cats, I am exhausted): https://www.funwithcomputervision.com/chinup/

value: Show HN: Do a chin-up, save a cat (mediapipe and threejs real-time browser game)

author: getToTheChopin


value:
I've built a production-ready Rust SDK for OpenRouter.ai that makes it trivial to work with 100+ LLMs (Claude 3, GPT-4, Mistral, etc.). Key features:
Zero-Cost LLM Orchestration – Automatic request batching and model fallback
Multi-Modal First – Clean API for text+image prompts (e.g., GPT-4 Vision)
Streaming Done Right – Tokio-based async with backpressure support
Why Rust? After wrestling with Python's GIL in production, we needed:
Memory safety for long-running inference servers
Easy WASM compilation for edge deployments
Fearless concurrency for parallel model queries

value: Show HN: OpenRouter-SDK – A Type-Safe Rust Client for OpenRouter AI APIs


value: FerkiHN

value:
After 1 months of development, I’ve built an open source privacy-focused search engine designed for ultra-low bandwidth usage. It loads in ~200ms even on 2G networks.
Key features:
24KB initial load (DDG Lite is ~45KB)
Fully static, runs on GitHub Pages (zero-cost hosting)
Uses DuckDuckGo API with local fallback
Text-only mode (saves ~90% of traffic)
Works offline (via Service Workers)
Technical highlights:
Adaptive low-data mode (EDGE support)
Hybrid client-side caching
Category-based traffic optimization
100% client-side, no server dependencies
Would love feedback on:
Bugs or rendering issues
UI/UX suggestions or feature ideas
Additional search APIs worth integrating
Live demo: https://ferki-git-creator.github.io/bytewise-search/
GitHub: https://github.com/Ferki-git-creator/bytewise-search
Thanks for checking it out!

value: Show HN: ByteWise Search: 90% Lighter than DDG Lite – open-source Privacy Search

author: FerkiHN


value: seeyebe

value:
built snub, a fast and lightweight recursive file search tool for Windows, written in modern C (C17). File Explorer and PowerShell often crawl on large codebases — so I wrote something that doesn’t.
snub is:
 - Fully multithreaded
 - Avoids indexing entirely
 - Supports globbing, size/date filters, result limiting, and JSON output
 - Packaged as a single small executable
No dependencies. Just raw C and the WinAPI.
GitHub: https://github.com/seeyebe/snub
Would love feedback on C idioms, WinAPI practices, or ideas for portability and better build flow.

value: Show HN: Snub – A fast, lightweight file search CLI for Windows (written in C)

author: seeyebe


value: Saloc

value:
Built this Python package because I wanted to run hardware controlling ML stuff and other control algorithms directly connected to industrial I/O hardware without jumping into annoying PLC toolchains (Windows only, licensing hassle, no editor choice, proprietary version control - you name it). For sure its not for ms‑cycle loops, or uptime critical production stuff, but in applications with relaxed timing it allows for fast iteration on the setup - making prototyping a pleasure. Its easy to use, has no dependencies beside Python, its fully type annotated and MIT licensed. Internal it uses ModBus/TCP for hardware communication, the implementation is exposed, so it co-serves as ModBus/TCP client library.
I'd love to hear your use cases, feature ideas and PLC toolchain stories ;)
Docs: https://nonannet.github.io/pyhoff

value: Show HN: Pyhoff – Connect Python ML Models to Beckhoff/WAGO IO Hardware

author: Saloc


value: raunaqvaisoha

value:
I’ve been hacking on a project called Bookshelf (https://www.bookshelf.diy/). It lets you take an archive — say, your Substack export, a bunch of PDFs, or even saved HTML files — and turn that into a retrieval-backed GPT that your readers can query.
The idea is: instead of scrolling archives, they just ask questions. Answers are pulled only from your original content, with citations.
It’s aimed at writers and researchers who want their work to be more discoverable — but without spinning up vector infra or fiddling with RAG pipelines.
For context: I’ve always gone back to Paul Graham’s essays for startup advice. But there’s no good way to search them semantically or contextually. So I tried indexing a few with Bookshelf.
Asked:
“How does PG think about evaluating founders?”
and got a clean answer sourced from Do Things That Don’t Scale and a couple other essays — citations included. It was surprisingly useful.
So far, one early test case is AnthropoceneGPT (https://sammatey.substack.com/p/introducing-anthropocenegpt) for Sam Matey’s newsletter. It’s seen ~100+ queries. Readers say it works like a smart librarian. He says it gives him ideas for what to write next.
Rough implementation:
Input: HTML/PDF exports
Chunks + embeds via OpenAI (or local)
Stored in a vector DB
Retrieval API is called by the custom GPT
GPT is instructed to only use retrieved chunks and cite them
Auth Option: for tracking on queries to give writers some telemetry
Here’s a demo GPT trained on Paul Graham’s archive:
 Paul Graham GPT (https://tinyurl.com/paul-graham-gpt)
Would love thoughts on:
What would make this better for writers or readers?
Any UX nits on the GPT side?
Has anyone tried doing something similar in-house?

value: Show HN: Turn Newsletters into Interactive GPTs

author: raunaqvaisoha


value: taiseiue

value:
Ever wanted to use Discord authentication with your existing OIDC-compatible applications? discord-oidc-proxy is a serverless solution that converts Discord's OAuth2 into a standards-compliant OpenID Connect (OIDC) provider. Runs on Cloudflare Workers.
(Should I make it work with Docker too? I'm waiting for your opinion.)
I've implemented DI (Dependency Injection) in my programming project!<p>Features:
- Use Discord authentication through standard OIDC flows<p>- Serverless design running on Cloudflare Workers<p>- Lightweight implementation built with Hono framework<p>- Full OIDC Discovery support (/.well-known/openid-configuration)

value: Show HN: Discord-oidc-proxy: Convert Discord to an OIDC provider

author: taiseiue


value: Show HN: I built a daily word game that combines Wordle, Scrabble and Crosswords


value: toutoulliou

value:
After 6 months of coding and data processing, I created a comprehensive directory for French cities and local businesses. The site aggregates data from OpenStreetMap and government sources to provide detailed information about local services, shops, and administrative offices across all French communes.
Key features:
- Search by city name or postal code with geolocation
- Detailed business listings with opening hours, contact info, and accessibility
- Interactive maps showing local services
- Categorized browsing (shops, restaurants, public services, etc.)
- Real-time search with autocomplete
-Mobile-responsive design
The platform currently covers over 35,000 French communes with verified business information. All data is sourced from open government datasets and OpenStreetMap, ensuring accuracy and regular updates.
I built this to solve the problem of finding reliable local business information in France, where many existing directories are outdated or incomplete. The goal is to provide a single, comprehensive resource for local information.
Tech stack: Django, PostgreSQL, OpenStreetMap API, government data APIs, and modern frontend with HTMX for dynamic interactions.
Would love feedback on the user experience and suggestions for additional features!

value: Show HN: I built a comprehensive French city directory

author: toutoulliou


value: martianmanhunt

value:
We are developing agents for doing ESG analysis at scale. For this prototype, we looked at the use case of finding GHG emissions numbers for companies from their corporate websites, which takes a long time due to the large size of the documents when done manually.
Please try a few companies and keen to get some response. You can also click on the numbers and see where the information came from, down to the page of the docs.
Some things we are working on:
1. Robust downloads from companies who actively prevent downloads like Tesla and Saudi Aramco
2. Expanding this to be more general purpose where the user can specify which metrics they want to extract.
Thanks!
@MartianMan

value: Show HN: AI Agent for ESG analysis

author: martianmanhunt

title: Show HN: AI Agent for ESG analysis


value: lapomascheri

value:
Hey HN,
We’re a small team of three from Italy, Gabriele Dalla Costa (founder of Eneox), Luca Rossit (marketing + UX), and myself, Lapo Mascheri (product & R&D). We’re young, a bit obsessed with building, and have been working between H-Farm College (Italy’s first innovation hub) and a LinkedIn agency we helped grow from scratch.
Here’s the story:
For the last 6+ months, we’ve been building a tool called GrowIn. It started with a simple question we couldn’t shake off:
“Why is building a strong LinkedIn presence so time-consuming, even for the people who know what they’re doing?”
We saw it with our clients, with freelancers, and even with ourselves. You get excited, post a few times, maybe see results. Then things change. You shift focus, your goals evolve, and suddenly LinkedIn becomes another source of pressure. What to post? What’s working? Should I even be doing this?
So we built GrowIn, not as another “scheduler” or “post generator,” but as a real AI assistant for personal branding. Something that understands your goals, your tone of voice, your context, and helps you keep growing, even when your direction shifts.
GrowIn is part strategist, part writer, part analyst:
• It learns your voice through a simple onboarding • It suggests what to talk about (based on your goals + real-time trends) • It writes and formats your posts in your tone • It helps schedule and manage them • It tracks your progress, engagement, and even competitors • It gives you insight on what’s working and what’s not, without overwhelming you with dashboards
We’ve been testing GrowIn with a few hundred people, but today we’re opening it up to this community because we know what HN brings:
direct, honest, no-bullshit feedback from people who build, question, and think.
We’d love to know:
• Does this solve a real problem for you? • What’s useful, and what just adds noise? • Would you trust a tool like this with your voice? • What would you build next on top of it?
You can try it now , fully open: https://growin-staging-54fbd516bc2d.herokuapp.com/
Here also an introduttive and onboarding video: https://public.3.basecamp.com/p/U5bXrWMZUHRQoZ2PjX396H6Q
If you like what you see, or even

value: Show HN: GrowIn – AI assistant to automate your LinkedIn content and growth

author: lapomascheri


value: sagering

value:
Hi HN,
I've built my dream Chrome screenshot extension, "Schnippi," a combination of features I couldn't find in any other extension.
Features include:
- Optimized for Speed: Reduce the number of key presses or clicks to capture and export (download/copy) a screenshot. With one key press and one click, you'll have a screenshot in your clipboard or download folder.
- Flexible Capture and Selection: Capture any visible HTML element and cycle through the element hierarchy to refine your selection. You can also capture a free-form rectangle or the full viewport.
- Source URL Inclusion: Export your screenshot with the source URL of the captured page.
- Multiple Export Options: Copy to clipboard or download in various formats.
- Zoom-Friendly: Works well with "zoomed-in" pages.
- Privacy-Focused: No server uploads of your screenshots or any data collection.
- Clean UI: Neutral and minimal graphical user interface.
It's completely free! You can try it out here: https://chromewebstore.google.com/detail/schnippi-screenshot...
Why Screenshots Are Great:
- Speed: Unless it's raw text, taking a screenshot is often the fastest way to capture information or data from a website.
- Context: Screenshots can provide essential context around the captured data.
- Universal Format: Most word processors, note-taking apps, email clients, LLM chats, and search engines support image input.
A Problem Schnippi Solves:
An issue with just a PNG file of a screenshot is that an important piece of information is lost: the URL of the captured page. It's like a citation without a source. A screenshot without the page URL is often not very valuable, as you can't easily get back to the page to verify information or learn more about the context.
To fix this, Schnippi allows you to "Copy as HTML," which includes both the URL of the captured page and the image PNG. Many apps support this format, including Google Docs, Gmail, Apple Notes, Pages, Microsoft OneNote, and Word, among others.
How I Use Schnippi:
- For any kind of research or collecting visual inspiration for a project.
- Taking a screenshot of a data graph to share with a colleague. With "Copy as HTML" I don't need to copy the link to the page separately.
- Capture and copy a screenshot from the clipboard to a search engine / llm chat.
- Note down a piece of information including the source URL.
What's next:
I am planning to add the option to annotate the screenshot with text and shapes like arrows, rectangle or circles.
I'd be happy to hear your feedback!
Thanks!

value: Show HN: I built "Schnippi", my dream screenshot Chrome extension

author: sagering


value: Tecolino

value: This small web app allows playing around with consensus-based optimization, which is a gradient-free particle-based algorithm.

value: Show HN: Consensus-Based Optimization Visualized

author: Tecolino


value: sipsofchai

value: As an xkcd fanboy, I always wanted to find out what peoples' favourite xkcd comic was. So, inspired by the Tom Scott video where he "finds out what the best thing is", here is my attempt to find the "best" comic using a 1v1 battle format.<p>Pairings are completely randomised, and it uses the Elo rating system to calculate the leaderboard.

value: Show HN: XKCD comic battle! (ELO rating)

author: sipsofchai


value: aleksam

value:
I’ve been working on Dealmayker, a pattern recognition engine that turns raw, unstructured web data into real-time buying signals for B2B sales teams.
Most tools rely on static firmographic data. But in practice, the strongest indicators of intent are buried in job postings, company websites, press releases, and social media activity.
Dealmayker analyzes multiple sources simultaneously and looks for implicit signals like hiring velocity, tech stack shifts, leadership changes, and growth momentum. The goal is to help reps understand not just who a company is, but what it's becoming - in seconds, not hours.
Would love feedback on the engine, the signal quality, or ideas on other data sources that might be valuable.
Aleksa

value: Show HN: Pattern recognition engine, buying signals from unstructured web data

author: aleksam


value: illiana

value:
Hey HN, we're the co-founders of camelAI (https://camelai.com). We're building an embeddable AI data analyst that lets developers add natural language data exploration to their apps in minutes. Our API handles the complexity of AI-powered analytics, so you can focus on your core product. Here's a demo: https://camelai.com/docs/dev_api/introduction
With AI becoming table stakes for SaaS, every company wants "chat with your data" features. But building this properly is harder than it looks. Many developers think they can just pipe user questions through GPT to generate SQL and call it done. Turns out that's nowhere near sufficient for production use.
Real data analysis requires iterative exploration, consistent metric definitions, proper visualizations, and handling of complex schemas. Without these, users get frustrated with wrong answers, inconsistent results, and raw data dumps instead of insights. Teams end up spending months building what should be a solved problem.
We solve this by using an agentic approach where the AI explores your data iteratively, maintains context across queries, and automatically generates interactive visualizations.
camelAI connects directly to your database (Postgres, MySQL, Snowflake, BigQuery, ClickHouse, Supabase, and more). You teach it your metrics through reference queries and knowledge base entries. We handle row-level security through session variables, so each user only sees their data. Everything is delivered through a customizable iframe - no backend work required.
We created a playground using the entire Hacker News dataset so you can see what the embed looks like (no signup needed): https://camelai.com/hackernews/. Try asking things like "What are the most discussed AI companies this year?" or "Show me posting patterns for Show HN posts".
We're currently in beta and it's free while we gather feedback. Our planned pricing will be usage-based at 25% markup on tokens used, plus a monthly fee for iframe embed. Setup takes about 5 minutes with our quickstart guide: https://docs.camelai.com/dev_api/camel-api-quickstart
Early customers include fintech and retail analytics platforms who use us to handle ad-hoc data requests from their users.
We're excited to see what the HN community builds with this and would love feedback on the agent's performance and what features you'd need!

value: Show HN: CamelAI – Embeddable AI data analyst for your SaaS

author: illiana


value: jrhatigan

value: Show HN: Ego – A PaaS API for stateful AI personas

author: jrhatigan


value: uuxdecodeking

value: Show HN: Ace Step AI Music Generator

author: uuxdecodeking

title: Show HN: Ace Step AI Music Generator


value: wek

value:
Hi HN! I'm Karl one of the co-founders of Stravu. (https://stravu.com) Using AI for work 24x7, we realized that four things would make AI more useful for us and a lot of other power users and teams:
Editable output: AI gives output that is half right and our only option was to either keep chatting laboriously or copy it to a Google Doc. We made Stravu so you can edit what the AI says in chat or in an attached notebook. Everything editable.
Approve AI changes: When AI makes a change to some text, you can't tell what changes. We put Red/Green diffs that you can approve into Stravu.
Unify text, tables, diagrams: We were jumping between tools to work with AI on text, tables, diagrams, etc.. Just because Microsoft did that 30 years ago, doesn't mean it makes sense now. We made Stravu so you can work with AI across text, tables, diagrams, (and 2x2s, formulas, more soon) and have them inform each other.
Actual multi-player team collab with AI: We couldn't collaborate as a team in AI (even with the ChatGPT Teams plan). We wanted to be able to chat with AI together  as a team or see the changes AI was making in the canvas/notebook together and edit together. So we made Stravu support multi-player collaboration in every aspect... chats, notebooks, text, tables, diagrams..etc.
Some of the use cases of our current Beta customers include: scrum teams doing feature/customer/competitive research and feature definition, account teams building vertical/geo/account plans, consultants and investment teams working on market/company analysis.
We are currently in beta and actively iterating based on user feedback. Please try it out at: https://stravu.com  We highly value your feedback!

value: Show HN: Stravu – Editable, multi-player AI notebooks with text, tables, diagram

author: wek


value: FilipPanoski

value:
I built a tool that scans Reddit 24/7 for high-intent leads that are interested in buying your product.
I built this because there are lots of people on Reddit constantly asking about tools or describing problems that your tool solves, so instead of having to manually spend time on Reddit finding posts like these, my tool does this for you.
When it finds a good post, it sends you a notification so you can check it out and engage.
I've been using it to grow my tool, and already got 50+ sign ups and 2 customers.
Let me know what you think! Would love to get your feedback!

value: Show HN: I made a tool that gets you customers from Reddit

author: FilipPanoski


value: doraby

value:
We created a tool that helps discover “stars” within a team: match a business task to the team skills, spot those who can handle it better, and create a training program for the missing knowledge.
How it works — https://nordstars.ai/
You can also play around with it and test it with your team (no login required):
Add team members and their skills.
 Enter the business goal.
 Generate a program for the skills your team is missing or needs to improve to handle the task.

value: Show HN: Nordstars shows a team's missing skills for different business goals

author: doraby


value:
Most wearables collect data and hand you a dashboard.
Pulse goes a step further: it helps you run experiments with your own habits, and actually shows you what makes a difference.
No subscriptions. No locked features. Just tools to test what improves your sleep, focus, or energy.

value: Show HN: Pulse – the wearable for n=1 habit experiments


value: martianmanhunt

value: I made this app which tests your vocabulary. You have to name a word for every letter of the current word, and the last word becomes your new word. It's in beta.

value: Show HN: Chain-The-Words game that tests your vocab


value:
Hey HN,
I built Kinic (https://www.kinic.io), a simple but powerful way to create, own, and share your AI Memory. Think of it as “Plaid for AI Memory” or a personal knowledge base for your AI agents that you control.
It uses cryptography and WebAuthn with a WASM based vector DB for memory context. Own your own 'AI memory silo' - is one way I talk about it.
Right now, most AI tools forget everything when the chat ends or lock your memory in their black boxes (company owned server silo). Also there is some data I would never want to feed to big LLM providers, personal, health related etc — that could still be very useful with AI.
With Kinic, you can:
1. Build portable AI memory stores on any topic (local knowledge, hobbies, niche expertise). Good for research .
2. You will be able to share or rent your memories to others while proving their quality or relevance without revealing sensitive data (using ZK proofs).
*I may want to rent a curated list from a trusted expert or friend. Or date night planning and such as a use-case where two people may scroll and absorb info into their AI memory and then want them to collab in an LLM setting.
3. A more distant goal is to power personal AI agents that actually “remember” across time and devices.
We’re still in early stages but already have:
- A recently launched browser extension (absorb rather than bookmark - beat digital amnesia).
- A way to deploy these memory as user controlled smart contracts onto WASM based blockchain. If users hate blockchain they could run the memory store locally and prove traits about it to others with ZKP.
- SoTa for zero knowledge machine learning - which we will open source in the coming months.
TODO: connect more local LLM and MCP providers so that users can use their AI memories in more places.
I’d love feedback & ideas and any conversation on what you would do with a portable, personal, privacy preserving, AI Memory.
You can check it out here: https://www.kinic.io
Thank you!

value: Show HN: Kinic – A Portable AI Memory Store You Own (Farewell AI Amnesia)


value:
Hi! I’m Jules ESNAULT, a student and developper. I built RemoveMD a free, privacy-focused web tool that lets you strip hidden metadata (like EXIF from photos or document properties) without keeping your files to a server.
Why I Built This
Most people don’t realize how much sensitive data hides in their files:
Photos → GPS location, camera model, timestamps
Documents → Author details, edit history, hidden comments
Many online tools claim to remove metadata but store your files. I wanted something fast and privacy-focused.
How RemoveMD Works
You uploads, I don't store – Your files are processed and directly sent back to you without being saved in server-side
Supports common formats – JPEG, PNG, PDF and many more.
Instant results – Drag, drop, download. Done.
Who’s It For?
Privacy-conscious users – Remove hidden data before sharing files online.
Journalists/Researchers – Sanitize documents securely.
Anyone using social media – Post photos without leaking location or device info.
Future Plans
This started as a learning project, but I’m exploring:
Expanding file support (MP3, MP4, Office files).
A lightweight API for developers.
More privacy tools – Maybe checksum generators or encryption helpers?
Blog content – Guides on metadata risks and digital hygiene.
Open Source? Maybe.
The code isn’t public yet, but I’m considering it and I would like in the future publish the majority of the source code.
Why Free?
I do this to learn and solve a problem. If it is useful, users can purchase pro features, as the free limitation is very high, it guarantees free use for everyone. For now, just happy to help!
Try it and let me know what you think!
 https://www.removemd.com
P.S. Feedback welcome! I’m especially curious what formats/tools would help you most.

value: Show HN: Remove metadata from images and documents online


value: braden-w

value: Show HN: Whispering – An open-source alternative to Superwhisper

author: braden-w


value: juecd

value:
Hey HN,
We’ve been building on top of our browser-unikernel repo [0] and wanted to replace the noVNC remote GUI with something much faster. NoVNC is okay but it’s super laggy with any JS-heavy website (basically anything besides Hacker News…). We added remote GUI support using WebRTC, which supports:
- low latency read/write live view into the sandboxed browser (scrolling, clicking, typing feel way more responsive)
- can launch directly as a Docker container or on Unikraft unikernels
- process real-time streams with a fast boot up time (<20ms) if you’re using unikernels
WebRTC is powerful (supports all types of media and data transmission) but not trivial to implement. We adapted the Neko [1] library to play nicely with our base Chromium image. We also tailored the frontend to our use case.
Would love any thoughts/feedback from folks who’ve worked on streaming projects before.
[0] https://news.ycombinator.com/item?id=43705144
[1] Adapted from: https://github.com/m1k1o/neko
* Note: we've started working on adding video replays, so there's some source code for that already in our repo too.

value: Show HN: Live streaming for CUA models using WebRTC (OSS, Apache 2.0)

author: juecd


value: rejah

value: Show HN: Beagle Security – AI driven pentesting for web apps and APIs

author: rejah


value: evrmgzm

value: Show HN: Combine Minesweeper and Nanogram Game

author: evrmgzm


value: feynmanquest

value: Show HN: PromptDrifter – Catch LLM prompt drift before it breaks prod

author: feynmanquest


value: Looksmaxxer

value:
Level up your Looks.
Tools to maximize your appearance, confidence, and social skills
Try it now
Height Coach
Estimate height, potential, odds, and maximize them
Dashboard Preview
Rizz Coach
Practice your game with AI, get real-time feedback, and test your rizz before using it in real life.
Dashboard Preview
Your Looksmaxxing Toolkit
Powerful AI tools designed to transform you from average to extraordinary

value: Show HN: Mogg

author: Looksmaxxer

title: Show HN: Mogg


value: Show HN: PastelPaste – A Minimal and Modern Pastebin Written in Rust


value: ddoemonn

value: Show HN: CreateMyBanner – AI-generated banners for social media

author: ddoemonn


value: donovanOng

value:
Hi HN,
We built something new! It is an AI agent that can:
- iterate through up to a dozen sources (web or GDrive)
- reason between hops in natural language (exposed in the trace)
- generate structured JSON so downstream code can consume results deterministically
It not only delivers state-of-the-art performance on both SimpleQA and Reka Research-Eval, but also shatters the notion that cutting-edge AI must come at a premium, being significantly more affordable than alternatives.
Tech stack highlights
- Base model: Reka Flash 3.1 (trained from scratch, post-trained with RL on verifiable rewards)
- Flat pricing: $0.025/query (no extra token usage cost)
- Public REST API (OpenAI-style), plus on-prem / VPC options for enterprises
Product Page: https://reka.ai/products/research
Documentation: https://docs.reka.ai/research

value: Show HN: Reka Research – A SOTA research agent

author: donovanOng


value: arowe

value:
Hi HN,
I’ve always had more show and movie ideas than I had time (or energy) to turn into full scripts. Some were pretty fleshed out — loglines, character breakdowns, even season arcs — but without a clear path to share them or get feedback, they just sat in folders.
So I built something I wish had existed earlier:
https://thenextgreatshow.com
It’s a free, in-beta platform where writers can post and browse fully-formed TV/film concepts — no finished script required. Think pitch decks, not PDFs.
Built with:
 • Laravel (API + auth)
 • Vue 3 + Vite (frontend)
 • Tailwind CSS
 • Docker (for local + production consistency)
You can:
 • Post loglines, characters, episode/season breakdowns
 • Browse other people’s concepts for inspiration
 • Share your project easily with feedback links or version history
It started as a personal tool, but I’ve opened it to anyone. Hoping it can help other writers (or developers who love story structure) get their ideas out of limbo.
Feedback very welcome — on the concept, the tech, or the UX.
Thanks,
Aaron

value: Show HN: The Next Great Show – Discover the next generation of television

author: arowe


value:
Hi HN!
I recently built Kaiden — a simple chat-based health assistant that helps you log meals, track activity, and get personalized wellness tips through conversation.
It works like a messaging app, but instead of tapping through forms, you just say things like:
- “I had eggs and toast for breakfast.”
- “How many calories did I eat today?”
- “Remind me to drink water every morning.”
Kaiden replies like a coach, tracks your habits, and even sends you morning and evening messages. Everything is currently 100% free, no credit card needed.
---
# Why I built this
I’ve always found health and food tracking apps tedious — they ask for too much, and give too little back. I wanted something frictionless and more helpful. So I built Kaiden around a conversation model, using AI to make logging and feedback feel natural and lightweight.
# What I’m looking for
Does the chat feel useful or gimmicky?
Is this something you'd actually use for your own health?
What would make this a tool you return to every day?
You can try it here: https://kaiden.chat
Would love your honest feedback — and I’m happy to share more under-the-hood details if anyone’s curious.
Thanks!

value: Show HN: Kaiden – A chat-based health assistant you can talk to


value: alasarmas

value:
I did this entire project on my phone,  using the Replit app and the github web interface. This should be pretty close to the functionality of the J incunabulum:
https://www.jsoftware.com/ioj/iojATW.htm
I ended up telling the agent to use Rust, partially because I thought that JavaScript / TypeScript was its comfort zone and I didn’t want to have it pulling in a bunch of stuff I didn’t understand, and partially because I’ve heard that LLMs are pretty bad at Rust and I wanted to see if it could actually do it.
I don’t know Rust too well, so I can’t judge the code, but my suspicion is that it’s quite bad. I’d be interested to hear that confirmed.

value: Show HN: Mini J Interpreter in Rust, vibe coded

author: alasarmas


value: An interactive computer vision game where you burst floating balloons using real-time hand tracking via your laptop camera. Designed as a fun educational project for AI + game development practice.

value: Show HN:I made a AI-Powered Balloon Burst Game Using Mediapipe Pygame and OpenCV


value: artiomyak

value: Show HN: Cool Symbols

author: artiomyak

title: Show HN: Cool Symbols


value: rhodey

value:
Happy to share something I have been trying for awhile and finalized over the long weekend: IPFS-boot. This source code demonstrates a pattern for IPFS deployed webapps *which require user consent* to update
IPFS I think tried to solve this how-to-update-an-ipfs-website issue with "IPNS" and the thing just does not involve end-user consent
Hoping a collaborator is out there to make the bootloader %pretty%
Hoping you may consider this over Electron (for some things)
Cheers

value: Show HN: Publish IPFS webapps which require user consent to update

author: rhodey


value: KreshSiva

value:
I have always wanted to find quick and easy components that I use to build sites using React.
So i got working on it. Currently i provide 11 components such as:
1. Simple Portfolio Generator
2. QR Code + Link Shortener
3. Regex Tester with Save Feature
and many more.

value: Show HN: I made simple components to get your coding journey started easily

author: KreshSiva


value: evanletz

value:
Hey HN! This week I released Blunderless, a board vision trainer for chess.
I’ve been playing nonstop lately, and too often I’m still making stupid mistakes like moving the only defender of my piece and leaving it hanging, walking into stalemate, or not seeing forks.
So I built a super simple and fast exercise site to help train my eyes and prevent these silly mistakes. Simpler than chess(.)com’s puzzles, track your win/loss on each exercise, no sign up required.
I definitely want to continue adding exercises, so if you have suggestions let me know!

value: Show HN: Blunderless, a chess board vision trainer

author: evanletz


value: rahulbstomar

value:
I just launched a free tool to help marketers, designers, and content creators quickly find up-to-date image and video specs for all major social platforms (Facebook, Instagram, YouTube, Twitter, LinkedIn, etc.).
Key features:
Searchable and filterable by platform and formats
Copy direct links to individual specs (great for sharing with teams/clients)
Downloadable templates with safe zones (image sizes, ad dimensions)
Lightweight, fast UI – no login or signup required
It was built to eliminate the need to constantly Google or guess spec sizes. Would love feedback or suggestions for platforms/types to add!
Try it here: https://goonlinetools.com/social-media-specs/

value: Show HN: Social Media and Ad Specs Tool – Filter, Share and Download Templates

author: rahulbstomar


value: nthacker

value:
Hi HN,
I am building Torsor -  AI assistants that create fully formatted Microsoft Word documents for teams & businesses.
Many industries and teams create MS Word documents as essential artifacts of business outcomes - think insurance claims, real estate contracts, legal letters etc. For over 30 years these teams have dealt with copy paste hell or complex workflows.
No more! With Torsor you can hire an AI assistant and train it on your business in 5 mins for $0. Then generate documents instantly forever.
Please watch our < 2 min demo - https://youtu.be/9wHDG0CtzNI?si=LnPjXxtHu9_BCIsI
Or visit us at https://torsor.com

value: Show HN: Torsor- AI Assistants that generate documents for customers instantly

author: nthacker


value: trknhr

value:
I just started building Awesome AI Friendly Toolchain — a curated list of developer tools for building with AI (not just another list of AI-powered apps).
It focuses on utilities like:
- Prompt engineering tools
- Context management helpers
- LLM usage/cost tracking
- Dev tools that make AI coding smoother
It's a list for anyone who wants to do some vibecoding with LLMs.
If you know any cool tools in this space, feel free to share — or PRs are very welcome!

value: Show HN: AI-Friendly Toolchain – Dev Tools for Working with LLMs

author: trknhr


value: logicalangel

value:
Hi HN!
We’ve built RecomPal, a no-code AI chatbot designed specifically for Shopify stores. It helps merchants increase conversion rates and average order value by assisting shoppers in real-time—just like a human sales rep.
Key features:
Plug & play installation (2 minutes)
Understands customer intent and recommends products
No scripting or flow-building required
Privacy-first: no data sharing with third parties
We’ve seen up to 30% sales increase in early tests with small-to-medium stores.
We’d love your feedback, feature suggestions, or ideas on how we can improve.
Try it out: https://recompal.com
Thanks!
– Team RecomPal

value: Show HN: RecomPal – A no-code AI chatbot to increase Shopify sales

author: logicalangel


value: cfievet

value:
I built a conceptual art project using machine-generated prompts and images to question authorship, intent, and meaning in the AI era.
Everything — the images, titles, prompts — is generated via a semi-random but curated pipeline, with minimal human input (no description of images to generate). The result is a gallery of unique image/text pairs (most importantly a generated "artist intent") that invite visitors to decide (by voting): is this art or not?
The website itself is part of the experience: minimalist, continuous horizontal scroll, no traditional navigation. It’s built from scratch with Node.js, vanilla JS, a bit of PHP, and API calls (OpenAI, Replicate). No CMS, no frameworks — just flat files, counters, and dynamic generation.
I built the whole thing in iterative sessions with ChatGPT ("vibe-coding" of some sort) over several months. It was a first for me, and genuinely collaborative, in a strange way. The LLM often felt like lead programmer, co-designer, and sometimes even motivational coach :)
New images are added weekly. Still polishing a few details, but feedback on the concept, UX, or future evolutions is welcome!
[https://thisisnot.art](https://thisisnot.art)

value: Show HN: Not .ART – A conceptual AI art project with no artist

author: cfievet


value: adam-pavlat

value: Hi HN, I just launched Todo2 – an AI-powered project management extension for the Cursor AI editor. I built Todo2 after getting frustrated with leaving my IDE to plan tasks in ChatGPT/Perplexity. It lets you create todos by simply prompting, auto-researches latest best practices, and keeps everything inside Cursor. It’s free with 14-days trial on the Cursor Marketplace. Would love your feedback or questions! Thank you - https://todo2.pro

value: Show HN: Todo2 – AI Project Manager Inside Cursor

author: adam-pavlat


value: iraton

value: Show HN: FlopperZiro – A DIY open-source Flipper Zero clone

author: iraton


value: Agundur

value: KCast is a KDE Plasma 6 widget that lets you cast video files or youtube URLs to a Chromecast devices in your local network.

value: Show HN: KCast

author: Agundur

title: Show HN: KCast


value: ronstark

value: Show HN: AI-powered simulations to practice real-life decisions (free sample)

author: ronstark


value: yeahimjt

value: I built a website for users to browse developer portfolios for inspirations.<p>Users can upload their own portfolio for free to get more exposure, and see how well their portfolio is performing on the platform.

value: Show HN: Browse Developer Portfolios

author: yeahimjt

title: Show HN: Browse Developer Portfolios


value: DedFishy

value: Show HN: Program for Framework 16 LED Matrix

author: DedFishy


value: unddoch

value: Show HN: A Nextflow ↔ Python Integration Plugin

author: unddoch


value: pierogitus

value: Show HN: DBUF

author: pierogitus

title: Show HN: DBUF


value: eflay

value:
Hey everyone,
BL1NG — it’s a deliberately absurd web platform where users spend real money to show off how much they’ve spent. No utility. Just vanity. There is a leaderboard to flex also.
Which marketing strategy do you advice ? Do you think meme-based promotion on X, Reddit, or Hacker News comments could be effective? Has anyone here had success with a shitpost-style growth strategy?
Thanks for your help ^^

value: Show HN: Is there a way to market BL1NG – where people pay to flex?

author: eflay


value: vicamelnikova

value:
Evil Martians went full detective mode on Recraft, Sameday, Plane, Koyeb, Dynaboard (acq. Figma), Dust, Cline, Linear, Mintlify, Circle, Vercel, Supabase and dozens of other devtools that developers love and VCs fund.
We found patterns that work and wrote a comprehensive article breaking it all down. All landing pages are carefully screenshotted and organized into a single folder. Take it and use it.
We built a free open-source landing page template based on these winning patterns. Deploy it in minutes, then get back to building features that matter.

value: Show HN: Reverse-engineering 100 devtool landing pages

author: vicamelnikova


value:
A few years ago, I took the popular "Learning How to Learn" course, which introduced me to spaced repetition and active recall. It completely changed how I approached mastering technical concepts and coding problems.
But I struggled to apply it consistently: I could save LeetCode problems, articles, and docs in bookmarks, but I rarely reviewed them at the right time — and ended up forgetting most of them.
So I built ReviLearn, a free Chrome extension that lets you:
- Save any web page or coding problem
- Rate its difficulty (1–4), so it knows when to remind you
- See a calendar of upcoming revisions
- View an analytics dashboard with streaks and mastery breakdown
- Get daily notifications to keep up your routine
- Categorize topics (e.g., "DP", "System Design", "JavaScript")
- Export everything to CSV if needed
I just redesigned the UI to make it much more modern and motivating. I kept it completely free — no paywalls.
I’d love feedback from the HN community: What features would help you actually stick to reviewing? How do you currently manage your learning revisions?
Link: [https://chromewebstore.google.com/detail/revilearn/dnmbfpofk...]
Thanks!

value: Show HN: ReviLearn – Remember what you read online


value:
I built ChartFromText.com to solve a simple but recurring annoyance of mine. I often need a quick chart for a README file, a Slack message, or a simple presentation, and firing up Google Sheets or Excel always felt like overkill.
The goal was to create the absolute fastest path from raw data to a usable chart. You just paste text like Apples: 50, Bananas: 80, and the chart appears instantly.
What it does:
Parses simple key-value text (colons, commas, or newlines).
Instantly generates Pie, Bar, and Line charts.
Renders data labels directly on the chart for readability.
Lets you download the chart as a PNG with a clean, white background, ready for use anywhere.
The Tech Stack:
I intentionally kept it as simple as possible. It's a single HTML file with:
Vanilla JavaScript for all the logic. No frameworks.
Chart.js and the chartjs-plugin-datalabels for the heavy lifting on the charting side. They are fantastic libraries.
TailwindCSS via the CDN for styling. It allowed me to build a clean UI very quickly without a build step.
The entire thing is client-side, so your data never leaves your browser, which was a key principle for me.
I've tried to build a tool that I would love to use: fast, free, private, and does one thing well.
I would genuinely love to get your feedback. Is the UI intuitive? Are there any obvious features missing that you'd expect? Does it render correctly on your device?
Thanks for checking it out!

value: Show HN: I built a tool to generate charts from text


value: pablovelagomez

value:
Introducing EgoExo Forge - built on top of Rerun, Gradio and Huggingface Hub (I’ll be in San Francisco July 21–29 — if you’re into robotics, egocentric AI, large-scale data collection, or just want to chat, email me at pablovela5620@gmail.com!)
In my opinion, large-scale, diverse, and high-quality data is still the largest bottleneck for generalized robotics deployment. I believe that some version of imitation learning from human examples will be the most scalable + clean way to train humanoid robots  (similar to what Tesla did for Full Self driving). Teleop is too expensive to collect a large enough dataset in a reasonable manner, so passive collection via egocentric (and in certain cases, exocentric) views feels like the right bet.
Over the past few months, I've been trying to build out the scaffolding for this and using Rerun as my underlying infrastructure. Data being collected needs to be easily inspectable + time series and rerun provides the right tooling for this.
My goal is to first build out a ground truth representative dataset from already existing open source data, generate some reasonable baselines, and then go out and collect my own data that adheres to the defined schema.
Starting with open-source datasets
1. EgoDex from Apple
2. HOCap from Nvidia and the University of Texas at Dallas
3. Assembly101 from Meta
All these different datasets have different sensor configurations + annotations, so my goal with egoexo-forge is to have one consistent labeling scheme + data layout. I built a data pipeline that aligns all of the different datasets in one general schema assuming the COCO133 keypoint layout that allows for exo+ego, ego only, or exo only
Since the scaffolding is already there, it becomes MUCH easier to add other datasets. So the next ones that I'll be including are HD-EPIC kitchens dataset, HOT3D, and finally my own personal iPhone + insta360 go collection method.
Once I have a diverse variety of datasets, I'll double down on what I believe to be the key algorithms required to make useful data for imitation learning
1. Camera Pose estimation via SLAM/SFM for ego perspective (and automatic calibration for exo)
2. Human pose estimation for both egocentric + exocentric views
3. Metric 3D reconstruction + object tracking
I'll be setting up reasonable open-source baselines for each of these to validate that these datasets work, and then finally try to use the generated datasets for some imitation learning via the pi0-lerobot repo I've been working on.
I plan on making a blog post + providing more info on all of this in the near future so stay tuned

value: Show HN: EgoExo Forge: Data and Utilities Needed for Ego and Exo Human Data

author: pablovelagomez


value: I like VIM. I like LLMs. I like to work offline. I don't like to pay LLM providers for every line of code I write, and I like to have total control of the context. So, I wrote a plugin for vim that lets me use local LLMs (quantized deepseek coder is surprisingly useful and fast), have total control of the context, and integrate with my normal vimming flow. This one doesn't do tab completion or FIM (see https://github.com/ggml-org/llama.vim if you want a good local solution for that). Instead It's centered around building context through conversation and instruction, having the model answer questions and rewrite whole blocks or files of code. Simple keybindings and auto-copying to the numbered registers makes it easy to integrate with macros and (at least my) normal editing flow.

value: Show HN: LLviM – A conversational coding plugin for Vim and Local LLMs


value: konrad-g

value: Neudesk.com is a modern B2B services marketplace designed to connect businesses with service providers.

value: Show HN: Neudesk – Marketplace for Finding Business Services

author: konrad-g


value: jamsey

value:
Hey HN,
I built Cold Craft because I suck at cold outreach. I was tired of rewriting the same intros and follow-ups over and over, only to sound stiff and generic. As a dev, I figured I could automate it in a way that actually helps. It's not built to build the complete email ready to send, but its certainly good to get you going
What it does:
Generates cold outreach emails that sound natural, not AI spam
Rewrites existing drafts to be clearer, warmer, or more persuasive
Lets you choose recipient type, purpose, and tone for each message
Adds reminder functionality so you can follow up at the right time
Works directly from a Chrome extension (no switching tabs)
Saves your outreach history for quick reuse and edits
I made this for myself at first, but friends started asking for access, so I thought it might be useful to others here. Would love any feedback, feature suggestions, or brutal honesty on whether this solves a real pain point for you.
Thanks!

value: Show HN: Cold Craft – AI-Powered Outreach That Doesn't Sound Robotic

author: jamsey


value: iosifache

value:
I was looking around for an MCP server that could connect Anna's Archive to Claude Desktop, as I wanted to be able to search and download books directly through the interface.
I couldn't find any public implementations, so ended up building one myself.
What it does?
- It searches Anna's Archive by keywords.
- It downloads books from search results.
- It works directly in Claude Desktop through MCP.
Check out the repository's README for detailed installation and configuration instructions.
The code is fully open source and builds run on GitHub Actions for transparency.
I figured I'd share, since I couldn't be the only one wanting this functionality!

value: Show HN: MCP server for searching and downloading documents from Anna's Archive

author: iosifache


value: tzvipi

value:
Hey all!
I built a chrome extension that automatically adds timestamps to your messages sent.
Test it out yourself:
User: yc@chatchain.chat
pw: 1a3g5b7g
ChatGPT is smart enough to pick up on it, and it can actually respond to things like "What did we talk about yesterday at 2PM?", or "Summarize everything we discussed since 4PM"
Enjoy! Please leave a review, it means a lot to me!

value: Show HN: I made ChatChain, a chrome extension, auto adds timestamps to ChatGPT

author: tzvipi


value: AIHiredMe

value:
Hi HN,
7 months ago I shared Interactive CV here https://news.ycombinator.com/item?id=42361479 as a React learning project during paternity leave. Thanks to your feedback, it's evolved significantly.
The biggest change: rebuilt the editor for real-time editing. Had to switch from standard PDF libraries to react-pdf-renderer, which gave me plenty of headaches until I got live preview working smoothly. Worth it though.
Major updates since v1:
- Real-time CV editor (no more clunky forms)
- Six new ATS‑friendly templates
- Improved AI job matching algorithm
- Completely redesigned UX
The app now has usage limits (though you can try everything for free), but there's still a full demo on the landing page so you can test it without signing up.
Still solving the same problem: I got tired of spending hours tweaking my resume for different job applications. The workflow is much smoother now.
What would make this actually useful for your job search process?

value: Show HN: Interactive CV – Real-time resume editor with ATS-optimized templates

author: AIHiredMe


value: kushalpandya

value: I have a large collection of music files gathered over the years, so I was sorely missing a decent offline music player that can serve as a frontend for the collection. I tried several Mac apps over the years, but since streaming music is mainstream now, there aren't good offline music players that meet my needs. So I spent the last 3 months building Petrichor! The idea is to solve my problem and learn Swift UI development along the way, while giving back to the community with this open-source project! Here's a list of features it has, with more getting added in future;<p>- Everything you'd expect from an offline music player!<p>- Map your music folders and browse your library in an organised view.<p>- Create playlists and manage the play queue interactively.<p>- Browse music using folder view when needed.<p>- Pin anything (almost!) to the sidebar for quick access to your favourite music.<p>- Navigate easily: right-click a track to go to its album, artist, year, etc.<p>- Native macOS integration with menubar and dock playback controls, plus dark mode support.<p>- Search quickly through large libraries containing thousands of songs.<p>The app is still in alpha, so things may look unpolished, but I've been testing the alpha builds for the past few weeks and fixing issues as I find them for v1 release. I welcome any feedback (and contributions!) on GitHub repo. Please give it a try and let me know what you think!

value: Show HN: Petrichor – a free, open-source, offline music player for macOS

author: kushalpandya


value: ZeeeTH

value:
I built ColdCopy (coldcopy.xyz) a few days ago to solve my own cold email writing struggles. Initially it just generated one personalized email, but I kept wondering "should this be more direct or more friendly?"
So I added A/B testing - now it generates 3 versions (Professional, Friendly, Direct) side-by-side so you can compare and pick the best approach.
Early users seem to like having options, but I'm curious if this is genuinely useful or just feature bloat. Does having multiple versions actually help with cold outreach, or does it create decision paralysis?
The technical implementation was straightforward - same form data, three API calls with different prompt variations, display in a responsive grid. But I'm more interested in whether it solves a real problem.
Built with Next.js 14 + OpenAI API. Currently free with daily limits.
What do you think - is A/B testing for cold emails useful, or am I overthinking this?

value: Show HN: I added A/B testing to my cold email generator – does this add value?

author: ZeeeTH


value: drakochack

value:
Hi HN,
I just launched YUPE, an iOS app that helps travelers understand and order from restaurant menus—even when they can’t read the local language.
Why I built it

  Food is one of the best ways to experience a culture, but language barriers often make it hard to know what you’re ordering.

  I wanted a way to explore any country’s gastronomy confidently—even if I couldn’t read the menu or speak the language.

What it does

  - Scan a menu

  - Chat with it — Ask questions like “Is this spicy?” or “Which dishes are dairy-free?”

  - Get personalized suggestions — Based on your preferences and allergies

  - One-tap order — Generates a polite, localized message you can show to the waiter

Currently supports 150+ languages. Designed for travelers, digital nomads, and curious foodies.
Privacy

  - No sign-up required for core features

  - Your food preferences are stored anonymously to personalize responses

Links

  - Website: https://yupe.app

  - App Store: https://apps.apple.com/us/app/yupe-dine-anywhere/id6743195643

Would love feedback from the HN community!

value: Show HN: YUPE – AI-powered app that removes language barriers from restaurants

author: drakochack


value: meghan

value: Show HN: Authorization in LLM Applications

author: meghan


value: optinghost

value:
Hi HN
I recently built and launched Upvoicy — a simple, focused alternative to Canny for collecting and managing user feedback.
The idea was born from frustration with tools that are either too complex or too expensive for small teams. With Upvoicy, users can:
* Submit new feedback quickly
* Upvote ideas from others
* Track what’s planned, in progress, or shipped
No clutter, no distractions — just a clean workflow to help you stay close to your users and make better product decisions.
It’s best for indie makers, startups, or anyone who wants to listen to customers without the overhead.
Would love to hear what you think!

value: Show HN: I made a Canny alternative for indie founders and solo devs

author: optinghost


value: ericlmtn

value:
Much like how servers used to render HTML, LMUI is a protocol that guides LLM apps/clients to render specified components.
I'm not sure if anyone's already built an existing protocol, but I really think pure text is killing the potential of LLM clients, especially with how much more interactivity MCP's have brought for us to play with existing services. Improving the UI/UX should be a next step in LLM applications.
PR/feedback is very welcome.

value: Show HN: A protocol for LLM client to render UI components

author: ericlmtn


value: atallahw

value:
MakoGenerate is an AI agent that takes any PyTorch code as input, and writes CUDA kernels for it.
You can choose a sample problem or enter in your own PyTorch. It generates CUDA, compiles and validates the results, then uses all of this as feedback into the next generation attempt. If the generated kernel didn’t work, it tries to fix it. If it did work, it tries to make it faster.
You can configure the agent with a model/hardware/compute budget. The optional custom prompt section gives you the opportunity to add more context to the agent. You can include specific documentation, tutorials, or examples. You can also identify specific optimization techniques that you would like to see applied. Prompts can be as short as one line, or even multiple pages long.
Let me know what you think.

value: Show HN: A CUDA-Generating AI Agent

author: atallahw

title: Show HN: A CUDA-Generating AI Agent


value: orcasaga

value: Show HN: OrcaUI, A zero-dependency UI framework built with Web Components

author: orcasaga


value: bitlatte

value: Show HN: Evoke: A Powerful Little Static Site Generator

author: bitlatte


value: Dflowers

value:
I built Access Terminal to help people write with the clarity and precision of intelligence operatives.
It’s a minimalist web app that trains you to communicate using spy-style writing techniques—like BLUF (Bottom Line Up Front), consequence-driven phrasing, and ruthless clarity.
Why? Because most startup communication is bloated and vague. Spy agencies train operatives to write in a way that’s fast, decisive, and sharp. I wanted to bring that same style to founders, teams, and professionals—without the friction of courses or logins.
Key features:
– No sign-up required
– Quick, repeatable writing drills
– Teaches high-impact habits like trimming fluff, writing for outcomes, and structuring for decision-making
– Free to use now — will switch to a subscription model soon
If you run a startup or manage a team, this can save time, improve clarity, and reduce decision friction across the board.
Would love feedback from this community—especially around use cases, UX, or expansion ideas. Thinking about adding team features next.
Try it here: https://access-terminal.replit.app

value: Show HN: Access Terminal – A site that trains you to write like a spy

author: Dflowers


value: DesaiAshu

value:
Hey folks!
I've spent the last 8 months building a VST plugin called "The Infinite Crate" on top of Magenta's Lyria RealTime music model on the Gemini API. Doug Eck's research group has been building MusicLM and variants since 2017 (https://www.youtube.com/watch?v=yz-fHidp1M8)
I bridged a JUCE/C++ audio processing foundation with a React/Typescript UI, using Zustand to sync state. The plugin streams down generated audio from the Lyria RealTime model in the Gemini API via websockets
You can try it as a VST3 on Mac/Windows or AU/Standalone on Mac. It works in Ableton, Logic, and possibly other DAWs or video production software like DaVinci Resolve
The plugin allows you to type in prompts, adjust generation parameters like topk, temperature, bpm, key, and various mutes
Please try it out and give us some feedback :)
https://magenta.withgoogle.com/infinite-crate

value: Show HN: A generative audio VST plugin using Gemini API, JUCE, and React

author: DesaiAshu


value: Zephyrion

value:
Hi HN,
After spending some time with the new `flux kontext dev` model, I realized its most powerful capabilities aren't immediately obvious. Many people might miss its true potential by just scratching the surface.
I went deep and curated a collection of what I think are its most interesting use cases – things like targeted text removal, subtle photo restoration, and creative style transfers.
I felt that simply writing about them wasn't enough. The best way to understand the value is to see it and try it for yourself.
That's why I built FluxKontextLab (https://fluxkontextlab.com).
On the site, I've presented these curated examples with before-and-after comparisons. More importantly, there's an interactive playground right there, so you can immediately test these ideas or your own prompts on your own images.
My goal is to share what this model is capable of beyond the basics.
It's still an early project. I'd love for you to take a look and share your thoughts or any cool results you generate.

value: Show HN: I built a playground to showcase what Flux Kontext is good at

author: Zephyrion


value:
Hi HN,
I built a tool called ColorConJ: https://colorconj.com
It helps Spanish speakers explore color names by letter — like “color con A” or “color con B”.
Most color name tools are either in English or not searchable by letter. ColorConJ supports:
- Alphabetical color exploration
- HEX and RGB code display
- One-click copy
- Clean, mobile-friendly UI
It’s built with Astro and Tailwind. Would love feedback on UX, SEO, or anything else.
Thanks!

value: Show HN: ColorConJ – Explore Spanish color names by letter


value: Airyisland

value:
This afternoon, I used Claude Code to quickly build a tool for browsing Hacker News Show HN projects. The UI and database came together in one go, with some final tweaks and mobile optimization. From start to deployment, it took about 30 minutes.
Planning to add product analytics features soon.
Hope you find it useful!
https://buzz0.com

value: Show HN: Buzz0.com – Daily curated Show HN posts

author: Airyisland


value: serkanh

value:
I built a conversational AI that maintains long-term memory across sessions using Google's Agent Development Kit with recently introduced Vertex AI Memory Bank.<p>- Interview practice bots that remember your weak areas and track improvement
- Infrastructure troubleshooting assistants that recall past outage patterns
- Code review helpers that learn your team's standards over time
- Personal learning assistants that adapt based on what explanations work for you

value: Show HN: Google ADK and Vertex AI Memory Bank for Persistent Conversational AI

author: serkanh


value: CodeAndExile

value:
Hey HN,
I spent 30 years writing CAD plugins in C++, mostly in Visual C++ 6.0. Then the industry collapsed. And I lost an intellectual lawsuit, my income dried up, and my marriage ended.
Now I live alone in a trailer in rural Canada — still writing code, still surviving, trying to crawl back.
This is a short video I made (50 seconds), documenting a quiet moment from this strange life. If you’ve ever hit rock bottom and kept going, you might relate.
https://youtube.com/shorts/dDLSd3pfIYI?feature=share
Thanks for watching. Just sharing — not selling anything.

value: Show HN: Still coding in VC++ 6.0 after losing everything, living in a trailer

author: CodeAndExile


value: envilo

value:
Hello HN,
Stripe’s invoicing fees sneak up on you—0.4% per transaction (up to $2 per invoice)—and the real cost comes from the manual work of customizing invoices every time a client requests changes.
That’s why I built https://envilo.app : Automated Stripe invoicing (for one-time payments and subscriptions) with self-service editing. Your customers can preview, edit, and download their invoices—eliminating back-and-forth while saving you time and Stripe fees.
Why keep overpaying for billing?
- No per-invoice fees
- No manual edits or code required
- Customers handle their own changes
Try it free for 7 days—no credit card needed → https://envilo.app
For fellow Stripe users: What’s the one thing you wish invoicing did better? Let’s discuss!

value: Show HN: I built Envilo.app to automate editable Stripe invoicing

author: envilo


value: parthomal

value:
I built [Shortly](https://shortly.streamlab.in), a modern URL shortener focused on privacy and clean UX. Unlike many existing tools, it doesn’t track users.
It supports:
- Custom short links
- Analytics dashboard (click count, browser info, etc.)
- Built with Next.js (frontend) and Go (backend)
I made this as a personal project to learn full-stack dev and solve my own pain points with bloated shorteners. Would love feedback on how it performs or how I could improve it.
Live site: https://shortly.streamlab.in

value: Show HN: Shortly – A privacy-focused URL shortener with analytics

author: parthomal


value:
I got sick of sketchy online converter sites that phone home and may keep your files and walking non-technical friends through brew/apt/choco installs every time they need ffmpeg or imagemagick and telling them what command to run.
So I built Toolbox, a 100% open source site that compiles my most-used command-line tools to WebAssembly and runs them fully client-side:
- FFmpeg (video + audio)
- ExifTool (metadata)
- 7-Zip (archive/zip/rar/7z)
- ImageMagick
- Pandoc
Roadmap:
- Batch mode
- Shareable presets. Complex commands can be saved as URLs so you can send a one-click recipe to a friend, inspired by cyberchef
- GPU acceleration via WebGPU someday? (mostly looking at ffmpeg, maybe with WebCodec)
Source: https://github.com/akshetpandey/toolbox (MIT licensed)
I’d love feedback, bug reports, and requests for other tools. If it helps you ditch shady sites or long install docs, mission accomplished.

value: Show HN: Toolbox: Run FFmpeg, Imagemagick, 7Zip and Friends in the Browser


value: Drop, match, and blast colorful blocks in this satisfying sand puzzle game.

value: Show HN: Sand Blast Block Puzzle Game

title: Show HN: Sand Blast Block Puzzle Game


value: harperhuang

value: Hello everyone! I'm excited to share that my game collection has recently been updated with two new classic games - Pac-Man and Tank Battle. I'd love for you to try them out when you have some free time! Feel free to bookmark the website so you can enjoy these games while waiting for the bus, standing in line, or during your break time. Hope they help make those moments a bit more fun!

value: Show HN: What Games Play? Pacman and Battle City

author: harperhuang


value: artiomyak

value: Show HN: Coin Flipper

author: artiomyak

title: Show HN: Coin Flipper


value:
Voice Activity Detection (VAD) is a crucial component for Voice AI, enabling more natural and efficient interactions. TEN VAD is an open-source solution designed to supercharge your Voice AI Agents with lightning-fast, human-like conversations!
TEN VAD offers some key advantages:
ONNX Support: Deploy on virtually any platform or hardware architecture! This means greater flexibility and easier integration into your existing systems. Superior Detection Accuracy: Experience noticeable improvements in voice detection, leading to fewer errors and more reliable performance. Smaller & Faster: Enjoy a 32% reduction in Real-Time Factor (RTF) and an 86% size reduction compared to Silero VAD! This translates to lower resource consumption and faster processing.
Get the code: https://github.com/ten-framework/ten-vad

value: Show HN: Boost Your Voice AI Agents with Open-Source Ten VAD


value: Scofieldfee

value:
Hi HN!
I built [LaunchVault](https://www.launchvault.dev) as a simple launch platform to help indie hackers, developers, and small startups share their projects and get early visibility and feedback.
As an indie maker myself, I noticed that many amazing tools go unnoticed — either because they’re not a fit for Product Hunt, or because they launch quietly on X/Twitter and fade out quickly. LaunchVault is designed to give those projects a dedicated home with:
- A clean public launch page
- Optional waitlist or call-to-action
- Curated discovery based on what’s actually being built
- No algorithm, no follower count, no noise
Everything is free and still very early (I just launched the MVP last week), so I’d love your feedback on the idea, UX, or anything else that could make it more useful to fellow builders.
Thanks!

value: Show HN: LaunchVault – A launch platform for indie hackers

author: Scofieldfee


value: Show HN: Kioshun – Fast, sharded in-memory cache for Go


value: wingtw

value:
Backstory:
I have a keen interest in security from multiple viewpoints, and analysing a unknown firmware file format has been a topic which has popped up every once in a while but I have not found a tool which would be
a) FREE and/or
b) worked the way my brain does.
So when thinking of a use case to test an AI coding capabilities with, a "but what if...?" moment came.
So BinRev came to be as a test/review project for an AI particular coding agent, but since the initial code, I have used multiple different tools & models to polish it (see the readme in the repo for particulars).
What is it?
I envision BinRev to be a tool which can be used to visually analyse the format of a known or unknown binary, build the understanding of the structure step by step and at any given moment export it in a machine readable format for further processing. It can already build a pretty complicated formats, but all testing and any input or collaboration is highly valued and welcome.
More details?
- written in Typescript
- running locally in browser (should be able to work without any connection, but its not tested)
- no data is sent anywhere
- nothing is analysed but the binary
- no registration or signup
- quite certainly contains plethora of bugs (although I have done my best to iron some out)
- completely free
BinRev is open source, GPLv3, contributions are warmly welcomed.
Source: https://github.com/dmonizer/binrev

value: Show HN: BinRev - Free, no registration web based (un)known binary analysis tool

author: wingtw


value: skyzouw

value:
I built StopAddict, a minimalist tool that helps people quit addictions by turning the process into a game.
Each day you resist your addiction, you earn XP and build a visible streak, helping you track small wins that add up over time. The idea came from struggling to quit bad habits myself and realizing that seeing progress, even in a simple form, made it easier to stay consistent.
The app is distraction-free and focused on giving users a clear sense of progress. It’s currently live, and I’m looking to get feedback on:
– Whether XP/streak systems actually help you stay consistent
– Pricing strategies for this kind of tool
– Any ideas on channels to reach people who need this
You can try it here: https://www.stopaddict.net
I’d love your honest thoughts, whether it’s on the concept, UX, or ways to improve so it truly helps people quit.
Thanks for your time!

value: Show HN: StopAddict – Quit addictions using XP and streaks

author: skyzouw


value:
Hey HN,
I'm a solopreneur and run a web design agency.
I create open-source apps, but I also work as a freelancer and designer. I was accepting any new freelance project via forms on my agency website.
I was using Typeform, but as time went by and more people submitted forms, it got more and more expensive. That time, I thought to use Google Form, but it was way too blocky and looked very unprofessional on my agency website.
So I thought to build my own forms for my own usage, and it turns out it almost doubled form submissions and inquiry calls.
I was happy, so I thought to build it for everyone and make it open-source.
I added AI functionalities using Vercel AISDK. I can generate forms almost instantly using AI and also added analytics AI so that users can talk with their forms—more like talk with their analytics data.
I've been building this publicly, sharing updates on my X account (preetsuthar17)
I hope this product will be as helpful to you as it was for me. Would love your feedback pls
Preet

value: Show HN: Typeform was too expensive so I built my own forms


value: nesh-html

value:
I opened my first stock account back in high school and went down the technical analysis rabbit hole — RSI, MACD, VWAP — stacking every indicator I could find. I thought I was cooking, but it mostly came down to “buy the dip.”
Fast forward to now: AI is everywhere. So we thought — why not build a system that actually thinks alongside traders?
We built Wolflux — a real-time AI-powered platform for stock insights. It gives clear Buy/Sell/Hold signals (with confidence scores), technical indicators, sentiment analysis, and Monte Carlo risk modeling — all without the clutter.
Under the hood, we use a hybrid of machine learning models (LSTM, KNN, SVM, logistic regression) combined with traditional analysis. Everything runs live, with 24/7 data feeds.
We just launched a Watchlist feature too. There’s a free tier (no card required), and we’d love feedback from the HN community.

value: Show HN: Wolflux – AI Predicts Stocks in Realtime

author: nesh-html


value: fariraimasocha

value:
I made a tool to make LinkedIn posting feel less like a chore.
it’s called Linkgenie, and I just opened it up for early users.
Using Claude for generating post and get for hooks its saves you time.
I’d love if you gave it a try + told me what’s missing, what slaps, and what needs a glow-up.

value: Show HN: I made a tool to make LinkedIn posting feel less like a chore

author: fariraimasocha


value: mcvanhassel

value: Show HN: Built a desktop app to organize photos locally with duplicate detection

author: mcvanhassel


value:
We built Cartlink to help creators earn money from their existing content—without needing to change how or what they post.
Cartlink automatically detects products in influencer content (video, photo, text), matches them to purchase links, and monetizes them with affiliate revenue—no brand deals, promo codes, or extra effort required.
Feedback welcome!

value: Show HN: Cartlink – Monetize Influencer Content Without Changing a Thing


value: AGINestedCorp

value:
Hey HN,
I'm a radiologist, and I built AI Card Genius to make it easier to create flashcards for work.
Writing cards manually was time-consuming, so I built a small app that uses AI to help generate them quickly and cleanly. The idea is to save time and still keep the learning efficient.
Would love feedback on the app itself and what could be improved—from the UX to the card generation flow.
Thanks!
https://apps.apple.com/gr/app/ai-card-genius/id6746345518

value: Show HN: AI Card Genius(iOS) – Instantly Create Flashcards with AI

author: AGINestedCorp


value: wonderfuly

value: Show HN: NotebookLM Web Importer

author: wonderfuly

title: Show HN: NotebookLM Web Importer


value: guiolmar

value: Show HN: Supadex – Mobile Dashboard for Supabase

author: guiolmar


value: VincentCordobes

value:
I used to transcribe drum parts in my text editor (vim) using plain-text drum tabs.
It worked, but it was far from ideal — every edit risked breaking the text grid. Also how could I be sure the rhythm was accurate? Or share it with others who prefer traditional sheet music?<p>So I built drumtabs.app — an online text-based drum tab editor that works like a step sequencer, with audio playback, sheet music rendering, and more.

value: Show HN: Drumtabs – Online drum tablature editor

author: VincentCordobes


value: FerkiHN

value:
I often work in the terminal (both Linux and Termux on Android), and I’ve always missed a simple way to view images without launching any GUI.
Most tools rely on ASCII-art renderers or require large dependencies.
So I built PIT — a minimal C-based utility that displays real images (PNG/JPG) inside the terminal, using ANSI colors.
No ASCII tricks — you actually see the image.
Highlights:
No GUI needed
No dependencies (just raw C + ANSI output)
Works on Linux, Termux (Android), and even Windows
Renders up to 600×600 images, even on older terminals
Demo screenshots:
https://github.com/Ferki-git-creator/phono-in-terminal-image...
GitHub:
https://github.com/Ferki-git-creator/phono-in-terminal-image...
I’d love to hear your thoughts, ideas for improvements, or feature requests. Thanks!

value: Show HN: Pit – View PNG/JPG images directly in the terminal (no ASCII art)

author: FerkiHN


value: importnil

value:
Hey HN,
I've poured months of daily effort into something that, in my opinion, works better than native Apple Intelligence. My life & work include two foreign languages besides my native one. I wanted a handy tool that instantly translates or improves text I select, in any app. That's how the idea to build a fluid, fast "smart panel" was born.
What does Fluent offer?
- Most Wanted: Fluent can enable you to instantly fix, improve, and replace formatted content in Chrome-based apps (Chrome itself, Slack, Notion, etc.) with a single shortcut.
- In general, a Spotlight-like Smart Panel that is fast & fluid, as it's a native Swift app.
- Allows you to create actions with customizable shortcuts.
- Supports any OpenAI-compatible provider. Allows you to add custom providers easily.
- Local models: MLX, Ollama, LM Studio.
- BYOK (Bring Your Own Key). No subscriptions. No "1-year updates," etc. Just a lifetime license.
- A freemium version is available to test out the features.
I presented Fluent on Reddit a few weeks ago and used the incredible feedback to improve my tool at least twice from what it was at that time. Now I'm happy to introduce it to you as well. Hope to get some constructive feedback!
Regards,
Vadim

value: Show HN: I Built Fluent – macOS AI Writing Assistant

author: importnil


value: vagmour

value:
Hey HN,
I'm an offensive security engineer (OSCE3) who's been frustrated for years with how broken cybersecurity hiring is. Companies struggle to evaluate real skills, and great hackers often get overlooked because they don't "interview well."
So we have bootstrapped Crowdcruit: a hiring platform purpose-built for cybersecurity, combining verified technical achievements (CVEs, bug bounties, HTB/THM scores, certifications) with a smart matching system.
Key Features:
+ Smart Matching: Candidates are matched to roles based on real-world skills — not just keywords.
+ Bug Bounty & CVE Recognition: We parse Hackthebox, HackerOne, Bugcrowd and CVE records into candidate profiles.
+ Anti-Cheat Video Interviews: Our in-browser interviews detect suspicious behavior and verify authenticity.
+ Certifications Integration: Support for Accredible, Credly, and others.
+ Privacy-first: No direct database access to companies, no mass scraping. GDPR-compliant by design.
+ Zero-hassle profile creation: No manual input of your past experiences. It just works!
We're trying to give both companies and cybersecurity specialists a better way to find each other — no gatekeeping, no unnecessary processes.
- Live link: https://crowdcruit.com (Free to join; profiles required for full access.)
Would love feedback from the community. Also, please tell me what other integrations you would like us to have.
Demo public profile for your reference: https://crowdcruit.com/user/john-doe
Thanks!
— Evangelos
Founder, Crowdcruit

value: Show HN: Crowdcruit – A Crowd-Sourced Cybersecurity Hiring Platform

author: vagmour


value: gadgetoid

value:
I was tired of looking in two places when referring to the datasheet for pin functions and locations.
This simple one-page website brings the RP2350A's pins, alt functions and notes together into a single table.
You can click pin functions to mark the ones you're using in a design and view them on the QFN-60 minimap- useful for routing or finding the right pins to scope.
I have more features planned- such as JSON export (so you can run your own code-gen or symbol gen tools on pin configurations) and minimap rotation.
This is basically pico2.pinout.xyz for engineers.

value: Show HN: An interactive QFN-60 pinout for the RP2350A

author: gadgetoid


value: arcari

value:
I just released [OpenAudit](https://www.npmjs.com/package/@arcari/open-audit) — a Node.js auditing library that works out of the box with popular databases like PostgreSQL, MySQL, MongoDB, SQLite, and even flat files.
Features:
- Pluggable adapter system (write your own!)
- Built-in support for: PostgreSQL, MySQL2, MongoDB, SQLite, File
- Easy to use: `logEvent(actor, action, entity, metadata)`
- Fully typed with TypeScript
- Vitest-tested with unit + integration coverage
- CLI and example project included
NPM: [@arcari/open-audit](https://www.npmjs.com/package/@arcari/open-audit)
 GitHub: [github.com/tomaslachmann/open-audit](https://github.com/tomaslachmann/open-audit)
 Example project: `/example` folder in the repo
 Works great with Vitest, Docker, and TypeORM or Prisma
Looking for feedback or feature ideas! I’d love to hear if this is useful for your backend or compliance needs.

value: Show HN: OpenAudit – Add auditing to your Node.js app with pluggable adapters

author: arcari