value:
Hey HN,
I tend to use printf-style debugging as my primary troubleshooting method and only resort to gdb as a last resort.
While I like its ease of use printf debugging isn't without its annoyances, namely removing the print statements once you're done.
I used to use trace-level logging from proper logging libraries but adding trace calls in every corner quickly gets out of control and results in an overwhelming amount of output.
To scratch my own itch I created dlg - a minimal debugging library that disappears completely from production builds.
Its API exposes just a single function, Printf [1].
dlg is optimized for performance in debug builds and, most importantly, when compiled without the dlg build tag, all calls are eliminated by the Go linker as if dlg was never imported.
For debug builds it adds optional stack trace generation configurable via environment variables or linker flags.
GitHub: https://github.com/vvvvv/dlg
Any feedback is much appreciated.
[1]: Actually two functions - there's also SetOutput.

value: Show HN: Dlg – Zero-cost printf-style debugging for Go


value: mandarwagh

value:
Hi HN!
We’re building Omnicode at @leftlabs_ – a developer tool that lets you create complete Next.js, Vite, or Expo projects with just a single natural language prompt.
The idea is simple: skip boilerplate, setup, and config. Just describe what you want – e.g., “a blog with dark mode, markdown support, and a responsive navbar” – and Omnicode spins up the whole codebase in minutes.
Key Features:
Supports Next.js, Vite, and React Native (Expo)
Instant project scaffolding via prompt
Minimal, clean code output
Built for solo devs, hackathon MVPs, and fast prototyping
We’re inspired by tools like @lovable_dev and wanted to build something India-native, optimized for speed and simplicity.
We’d love your feedback, ideas, and brutal honesty.
Try it here
 We’re also open to collabs, integrations, or helping open-source builders.
Thanks!
– Mandar (@leftlabs_)

value: Show HN: Omnicode – Generate Next.js, Vite, or Expo projects from single prompt

author: mandarwagh


value: gabigrin

value:
Hi HN!
I'm excited to share Flyde 1.0. A big update to the open-source visual programming tool I launched here in March of last year (https://news.ycombinator.com/item?id=39628285).
Since Flyde’s launch, there's been a huge rise in demand for visual builders, especially for AI-heavy workflows. Visual-programming shines with async and concurrency-heavy logic, which describes most LLM chains perfectly.
A few months ago, I tried to capitalize on this trend by launching a commercial version of Flyde called Flowcode (https://news.ycombinator.com/item?id=43830193). It didn't go well. I learned the hard way that Flyde’s strength wasn't just about flexibility or performance compared to tools like n8n.
The real value was always how Flyde fits inside your existing codebase. The launch also helped me understand that there's still a big gap: no tool really covers the full lifecycle, from rapid prototyping to deep integration, evaluation, and iteration inside your own projects.
So, over the last few months, I worked hard to polish Flyde:
- Cleaned up and simplified the nodes API
- Made it possible to fork any node for maximum flexibility
- Launched a new online playground for quick experimenting and sharing (https://www.flyde.dev/playground)
- Created a new CLI tool to speed up development and setup
- Fixed a ton of bugs
- Simplified the UI/UX to make it smoother and less confusing
There’s still a lot of missing stuff. Better templates, docs, and nodes, but I think it’s finally stable and useful enough to give it another shot.
My plan is to first make sure that Flyde is usable and valuable as an OS project, and then try to provide additional value via “Flyde Studio” - a SaaS that will help non-engineers iterate on Flyde flows from a web-app. Changes become a PR in the host repo.
I'd really love some honest feedback and hear whether Flyde resonates with an existing pain/problem.
Check it out here:
Playground: https://www.flyde.dev/playground
GitHub: https://github.com/flydelabs/flyde
Looking forward to hearing your thoughts!
- Gabriel

value: Show HN: Flyde 1.0 – Like n8n, but in your codebase

author: gabigrin


value: kvthweatt

value: Show HN: Flux, a mid-level systems OOP language

author: kvthweatt


value: Easy to use interface to edit, generate images and videos with AI

value: Show HN: ImageGPT – Image Editor – RIP Photoshop


value: SupremumLimit

value:
Hey HN! When I started looking into LLMs and agents for software development and introducing them at work, I quickly realised that a person new to the topic faces a real barrage:
- all the hype (AGI, engineers getting replaced by AI etc.)
- conflicting opinions in virtually every discussion—for every person saying they’ve 10x-ed their productivity, there is a comment decrying LLMs as an utter failure
- a lot of jargon (MoE, MCP, RAG, distillation, quantisation etc. etc.)
- a profusion of models, IDEs/IDE extensions, CLI agents, other tools etc.
Sorting through all of this can be quite tricky for somebody coming in fresh! HN users have been discussing LLM tools for a long time of course, but many programmers I know still haven’t _really_ tried anything other than an LLM web UI and haven't been following the progress of tools much.
So my goal for this project was to provide a balanced overview of the topic, point people to substantive resources on eg. context management and productivity effects, and cover the concerns and risks as well (from prompt injection to shady training data sourcing). I hope it's useful!

value: Show HN: No Hype AI – get oriented in using LLM tools for software engineering

author: SupremumLimit


value: NeuralNotwork

value: Show HN: ui-mcp-server, let your AI generate UI specs

author: NeuralNotwork


value: revskill

value: Show HN: Hacker News SPA Mode

author: revskill

title: Show HN: Hacker News SPA Mode


value: kocial

value: Show HN: Showcase what you are building [ProductHunt Alternative]

author: kocial


value: mmajzoobi

value:
I have realized that a lot of people nowadays self-host services and set up home labs with mini racks.
One major pain point I have come across personally is to quickly get health status from self-hosted services and machines, and have the ability to headlessly control my Raspberry Pi inside a mini rack.
So It got me thinking about building a built-in GUI that users can easily add to their Raspberry Pi nodes in their (mini or full) racks or elsewhere.
I have previously designed this GUI for an open source project I have been working on (called Ubo pod: github.com/ubopod) and decided to detach/decouple the GUI into its own standalone module for this use case.
The GUI allows headless control of your Raspberry Pi, monitoring of system resources, and application status.
I am designing a new PCB and enclosure as part of this re-design to allow for a new form factor that mounts on server racks.
I am recording my journey of re-designing this and I would love to get early feedback from users to better understand what they may need or require from such a solution, specially on the hardware side.
The software behind the GUI is quite mature (https://github.com/ubopod/ubo_app) and you can actually try it right now without the hardware inside the web browser as shown in the video:
https://www.youtube.com/watch?v=9Ob_HDO66_8
All PCB designs are available here:
https://github.com/ubopod/ubo-pcb

value: Show HN: Open-source physical rack-mounted GUI for home lab

author: mmajzoobi


value: sdotdev

value:
The first time I tried to get a part time job I was surprised by the difficulty in getting a yes. But it was inevitably because my resume was empty. Then one day I had the though: "why don't I just lie, who would know". It didn't work instantly as I was too ambitious and when they asked for references, I lost everything.
But then I took a step back and decided to say I had worked at a niche charity shop near me and boom, got the first job I applied to. I thought, I have to let other people know this is the best method, as employers are far more unfair than this.
Any feedback on the site or service, even the landing page would be greatly appreciated, thank you!

value: Show HN: Lie on your resume – Applie-AI

author: sdotdev

title: Show HN: Lie on your resume – Applie-AI


value: HeeKAIT

value: Show HN: An IDE for stateful AI agents you can own, not just rent

author: HeeKAIT


value: willahmad

value:
Hey HN,
I'm building Aiko, an AI tools marketplace that solves the headaches of managing MCP (Model Context Protocol) configurations and credentials.
After working with and building many MCP servers, I kept running into the same frustrating issues:
- Managing multiple environments (production vs development) meant either duplicate server configs or constantly updating API keys
- Too many enabled tools either hit context limits or caused LLMs to hallucinate when choosing the right tool
- MCP servers often expose dozens of tools, but I only wanted a subset and had to configure this separately for Claude, Cursor, and every other AI assistant
- Most MCP aggregators are third-party hosted, which meant sharing sensitive credentials with external services
Aiko addresses these problems by providing a centralized way to manage your MCP configurations, credentials, and tool selections. You can easily switch between environments (profile management), selectively enable/disable tools globally, and all your credentials are encrypted (with MacOS Keychain) and stored locally.
I've also added some interesting MCP servers as part of this marketplace, including one that converts any OpenAPI v3 spec into an MCP server with full authentication support ().
The platform is still in beta, and I'm actively working on expanding the tool marketplace. Some features like Gmail and Calendar integrations are currently under security assessment but you can see them in action in the demo video.
Would love to get feedback from the HN community, especially from others who've been wrestling with MCP management!
- Demo (Google Calendar + Gmail + Memory working together): https://www.youtube.com/watch?v=ZgEy6Y1kfn4
- Website: https://getaiko.app
- OpenAPI to MCP - weather example: https://x.com/getaikoapp/status/1945278307496235482

value: Show HN: Aiko – Easiest way to manage MCP configurations and credentials (Beta)

author: willahmad


value: mujasoft

value:
As I worked on my personal projects, I kept running into the same problem:
There wasn’t a simple, local way to convert screen recordings into GIFs that look clean in a README.md.
Recordings don’t render inline on GitHub READMEs, and I didn’t want to rely on bulky video editors or upload my files to some sketchy ad-filled site. So, I wrote a small script.
I found myself using it so often that I turned it into a proper tool: minimal, local, and built for developers who care about good documentation.
I’m not some elite hacker — just a dev who wanted a better way to share demos. Thought others might find it useful too.

value: Show HN: Vid2gif – Convert .mp4/.mov to optimized GIFs locally using FFmpeg

author: mujasoft


value:
I am a commercial real estate executive who has no business posting to HN, yet I love this community and why not show off a project?
Working in finance often gets you the question "What should I invest in?"...which is kinda like going to a friend and saying what should I eat?
So over the years I've collected hundreds of types of investments across many categories and they lived in an excel sheet. And now I've brought it to life to share with you all!
Also added a fun little "allocations" page which shows how major investors allocate to these categories.
Have fun finding weird and wonderful things to invest in and let me know what is wrong or missing.

value: Show HN: Investment Catalog

title: Show HN: Investment Catalog


value:
I've been meaning to learn the basics of Rust, build my first desktop application ever and replace with it the only 2 desktop reminder apps I've known to fulfill my requirements, as both are 15 years+ old at this point.
It's still a work in progress, but after weeks of development I feel I've achieved an acceptable state for a first release.
My main use case for this is reminding myself of things which I would definitely ignore if I used Google Calendar or similar push/browser notification based apps (e.g. meetings coming up, bills to pay, etc.). I do have ADHD, how did you know?

value: Show HN: I built a desktop reminder app using Rust and Vue.js


value: Finch is a lightweight reverse proxy that inspects TLS and HTTP traffic to extract JA3, JA4, JA4H and Akamai HTTP/2 fingerprints. It uses hot-reloadable HCL rules to evaluate requests and can allow, deny, route, or even deceive attackers with LLM-generated responses!<p>Finch outsmarts bad traffic—blocking noise with high-fidelity fingerprints, tarpitting scanners, and dynamically deceiving attackers.

value: Show HN: Finch – a fingerprint-aware TLS reverse proxy


value: docdyhr

value:
Hi HN,
I built a WordPress MCP Server that connects Claude Desktop to any WordPress site using the Model Context Protocol (MCP). It's designed for developers who want to work with WordPress content directly from their editor, assisted by AI.
You can interact with posts, plugins, and themes through Claude — for example:
Browse and edit content contextually
Debug and develop plugins with AI help
Automate repetitive WordPress tasks
 It’s fully open-source and self-hosted:
 https://github.com/docdyhr/mcp-wordpress
I’m looking for feedback from developers interested in AI-assisted workflows, WordPress tooling, and protocol-based app integration.
Happy to answer any questions — and open to contributors!
– Thomas

value: Show HN: A WordPress MCP Server – Connect Claude Desktop to WordPress via AI

author: docdyhr


value: johnnymaroney

value: Show HN: I made a website that makes you cry

author: johnnymaroney


value: Show HN: I vibe coded a FREE Crunchbase alternative


value: jamesponddotco

value: Show HN: Taskemon, CLI tool to print task tickets with a thermal printer

author: jamesponddotco


value: Show HN: OpenUX – a free and open alternative to Mobbin


value: lunarcave

value: Show HN: Token-efficient zod-like schema definition library for LLMs

author: lunarcave


value: jsathianathen

value:
I used to message users manually with email to get their feedback
I know how important it is to get user feedback and iterate on it, so I was trying to find a better way.
Canny was too expensive. So I built a better version.
You can collect user feedback easily, create roadmaps to keep users updated.
And changelog that connects with Github so it updates on auto-pilot and keeps users up to date

value: Show HN: I built a user feedback and roadmapping tool to build in public

author: jsathianathen


value: We built Vested, a website to aggregate information around the internet to give retail investors more informed understanding of the companies they are investing in. Currently, we generate our reports with information from SEC and current news, but we plan to expand this in the near future to include job listings, social media, papers, and more.<p>Our goal is to make institutional-grade research accessible to everyone. We'd love feedback and features you'd would like to see.

value: Show HN: Vested – A financial analyst for retail investors


value: ampedcast

value: Show HN: Showcase Your Web and Mobile Apps

author: ampedcast


value: hpbyte

value:
I’ve been frustrated trying to get the right context when working across multiple repos in AI assisted software development.
So over a weekend, I built h‑codex – a tool that can pull context from scattered repos into Cursor / Claude Code (integrated via MCP); ensuring that they’ve got the full picture when doing the plans/implementation.
How it works:
- Indexes the repos
- Chunks code with AST for optimal chunk boundaries
- Generates embeddings and stores them in pgvector for fast semantic search
Check it out:
https://github.com/hpbyte/h-codex

value: Show HN: A semantic code search tool for cross-repo context retrieval

author: hpbyte


value: Show HN: The Hand Rolled Assembly Machine


value: vadepaysa

value:
Hello HN!
I built OpenCodeSpace https://github.com/ngramai/opencodespace — a CLI tool that lets you launch disposable, self-hosted VS Code environments in one command.
It’s like a self-hosted Code Spaces, but:
- Works locally with Docker or remotely on Fly.io (AWS, GCE coming soon)
- Auto-configured with Claude Code, OpenAI, Gemini CLI
- Designed for YOLO mode development: temporary, parallel, throwaway sessions
As Claude Code and Gemini CLI became core to my dev workflow, I kept needing a way to run them in parallel, in clean, isolated environments in full YOLO mode (`--dangerously-skip-permissions`) without worrying about its effects on my computer.
I tired devcontainers, but not all repos have them configured and remote devcontainer setup is a pain. I also tried git work tree + multi window local VSCode, but I felt all the branching and folder replication on my local desktop a bit messy.
I wanted something simpler, so I built this.
How it works:
* Run `opencodespace .` in any folder
* It checks for `.opencodespace` (or initializes one)
* You choose: run locally with Docker or remotely on Fly.io
* Browser-based VS Code opens up with everything ready
Install:
pip install opencodespace
Code:
https://github.com/ngramai/opencodespace
It’s still early days, but I love using this. I often spin up a few of these on Fly to let Claude code automatically chug away on bugs while I focus on heavier tasks in my local IDE.
Would love your feedback and ideas!

value: Show HN: OpenCodeSpace – Disposable Containers for Claude Code in YOLO Mode

author: vadepaysa


value: guptadeepak

value:
Open-sourced a collection of Customer Identity and Access Management (CIAM) resources after realizing how scattered good CIAM info can be when you're adding authentication to your product.
The repo includes:
- Open source CIAM tools and solutions
- Implementation guides and best practices
- Protocols, Security standards and compliance frameworks
- Research papers, books, and case studies
- Vendor comparisons and evaluation criteria
I've seeded it with resources that would have saved me months of research, but the community definitely has more knowledge to share.
If you've worked with customer auth or identity management, I'd love your contributions! Whether it's a useful tool, paper, or just fixing my categorization.
GitHub: https://github.com/guptadeepak/awesome-customer-iam
It is just the start, let me know anything else you want to add. thanks!

value: Show HN: CIAM – A curated list of CIAM resources for anyone adding auth

author: guptadeepak


value: FicPeter

value:
Hey HN,
I’ve been exploring how people relate to AI not just as a tool, but as a mirror, partner or friend — depending on their mindset and needs.
This project is called *AI Equalizer*: a conceptual interface where you set fixed “personality levels” of your AI assistant – such as empathy, rationality, mental culture (regional worldviews), depth, directness, or motivation.
Core idea:
– Imagine sliders like on a sound equalizer
– You fix attributes (e.g. empathy at 40%, strictness at 70%) for 7 days
– AI behaves consistently, like a friend with stable values
– It’s not about mood-based tweaking – it’s about *forming character and will*, for both AI and user
Why?
Most AI chatbots adapt too easily to user whims, which breaks long-term trust. This explores a new model – what if AI resisted you just enough to help you grow?
Currently testing as a concept (no public app yet), early version visualized here:
[LinkedIn post with visuals](https://www.linkedin.com/pulse/ai-equalizer-peter-fic-jbsee)
(no signup required)
Looking for:
– Feedback on idea clarity and feasibility
– Collaborators, UI/UX thinkers, skeptics, minimalists
– And if you ever felt your AI assistant was too obedient, I’d love your thoughts!
Thanks
Peter F.

value: Show HN: AI Equalizer – Personality sliders for building a better AI friend

author: FicPeter


value:
Hi HN,
I built AllEars, an Android app that listens for real-world sounds — like snoring, coughing, barking, alarms, glass breaking, and more — and lets you automate actions on your phone using simple IF–THEN flows.
It runs fully on-device, with no cloud, no mic streaming, and no internet requirement. Your phone detects sound events locally using TensorFlow Lite (YAMNet) and executes your defined actions.
Examples:
IF snoring AND coughing THEN vibrate + log timestamp
IF glass break THEN trigger webhook
IF dog bark OR doorbell THEN send notification
Each flow uses flat AND/OR logic, supports multiple actions, and can include time filters. The app runs as a low-power background service with a persistent notification for transparency.
Available actions:
- Play a sound
- Vibrate
- Send a notification
- Log a timestamp
- Trigger a webhook
Why I built it:
I wanted user-programmable automation driven by ambient sound — without sending any audio to the cloud.
Think of it as IFTTT for offline sound events.
Try it on Play Store:
https://play.google.com/store/apps/details?id=com.cliqueraft... — no signup needed. Free plan includes 3 flows.
Looking for feedback on:
1. What sounds would you want to detect and respond to?
2. What other actions/triggers would make this genuinely useful (keeping things offline and safe)?
3. Any UI feedback on the flow builder logic?
Thanks! Happy to dive into anything technical

value: Show HN: AllEars – Automate Your Phone Based on Sounds (Offline, No Cloud)


value: Show HN: Memory Bank Templates – Cure AI Context Reset Problems


value: freakynit

value:
https://gist.github.com/freakynit/1f472c92e01f7e77287c727c6d...
GitHub issues for popular projects are often flooded with "+1”, "Me too”, and other unhelpful comments, making real discussions hard to track. This is a simple Google Apps Script (taking reference from https://github.com/cline/cline/discussions/581#discussioncom...), which scans your Gmail inbox for emails triggered by these "noisy” comments and automatically trashes them.
Also accompanying (as comment below the script) is browser console script to dim or hide these comments from issue discussions.
---
See the spam condition on this thread: https://github.com/cline/cline/discussions/581

value: Show HN: Stop the '+1' Spam: Automatically Filter GitHub Comment Noise

author: freakynit


value: zdkaster

value:
Just want to share my weekend project,
named rm-safely.
It's just a simple shell alias, that can help prevent from accidental rm command (either both running by yourself or ai agent)
Tested on zsh 5.9 and bash 5.3
Might be useful for some people.
Also, happy to hear any feedback.

value: Show HN: Rm-safely – a safety net for rm command

author: zdkaster


value: olllo

value:
We just released Data.olllo AI, a lightweight desktop app that helps you understand and work with your data using natural language.
 • Runs locally on your machine (Python 3.13)
 • Works with CSV, Excel, and more
 • Beginner-friendly — just ask, and the AI generates the code and answers
Try it here  [https://olllo.top/data.olllo]
Feedback is welcome!

value: Show HN: Data.olllo AI – A simple, local AI-powered tool to explore your data

author: olllo


value: Show HN: Free Email List Cleaner

title: Show HN: Free Email List Cleaner


value: yz-yu

value: Show HN: Reverse Engineering Claude Code in a better way

author: yz-yu


value: jakemanger

value:
Hi HN!
I wanted to make some photomosaics for an anniversary gift, but I ended up building this tool and turning it into a website that anyone can use.
For those who don’t know, a photomosaic is an image made up of many smaller tile images, arranged in a way that forms a larger, recognisable picture.
The best part? Everything runs directly in your browser. No files are uploaded, and there’s no sign-up required.

value: Show HN: I made a tool to generate photomosaics with your pictures

author: jakemanger


value: Show HN: BrowseAnything – Free ChatGPT Agent and Comet Alternative


value: guadman

value:
Hi HN,
We built Coegil - dev tools + frontend/backend infra for vibe coders.
You can vibe code a frontend in minutes — but you hit the wall when you need a real backend.
So we built the OS we wanted - cloud-grade infra, minus the DevOps:
- Self-serve access control, data storage, and versioning
- Scalable compute sessions for your favorite vibe coder + libraries
- Multi-step job pipelines with logs + monitoring
- GenAI agent & endpoint hosting with logic + memory
- Build dashboards + traditional ML models
- Ready-made auth + payments
- Multi-cloud + on-prem connectivity
- 99.999% uptime
No config setup. No stitching tools. Just build full-stack apps fast.
We used a version of this at Bridgewater Associates — and realized the rest of the world needed it too.
* Signup: https://coegil.com/signup-hn
* Check us out: https://coegil.com
Would love feedback from vibe coders trying to go from prototype to prod.

value: Show HN: Coegil – Ship enterprise-grade, full-stack AI apps with Claude Code

author: guadman


value: diogosm

value: Show HN: I made an easy website that RSVP avoiding intruders in your event

author: diogosm


value: rane

value: Show HN: MCP server that lets Claude Code consult other LLMs

author: rane


value: Aryagm

value:
Hi everyone. Designing neural network architectures is inherently a visual process. Every time I train a new model, I find myself sketching it out on paper before translating it into code (and still running into shape mismatches no matter how many networks I've built).
So I built BlockDL: a free and open-source tool to design neural networks visually in your browser. It updates live Python/Keras code as you build, and automatically checks for shape and connectivity errors in real time.
It supports:
- Most common layer types (Conv2D, Dense, LSTM, etc.)
- Multiple input/output networks
- Skip connections
- Real-time parameter and shape validation
In addition to the tool itself, BlockDL includes an interactive learning section with five free beginner-to-intermediate courses. These focus specifically on the architecture design process which is a gap I've noticed in most theory or code-heavy ML courses. Lessons are interactive and visual, with guided builds and optimization challenges.
The tool is fully free, and donations help fund my college tuition.
Would love to get some feedback.
Try it here: https://blockdl.com
GitHub (core engine): https://github.com/aryagm/blockdl

value: Show HN: BlockDL – A FOSS neural net sketchpad with shape checking and live code

author: Aryagm


value: silentpuck

value:
I built SilentGPT as a fully terminal-based ChatGPT client written in C.
Why? I needed something minimal that respects my privacy and runs anywhere — even airgapped or offline shells.
Features:
- Written in C, single portable binary
- AES-256-GCM encryption for chat history and API keys
- Supports multiple tokens via `--token`
- Optional password protection via `--secure`
- No OpenAI logging – pure curl + OpenSSL
- Export, list, delete, rename chats — all from CLI
This is my first real C tool at this scale — happy to hear your feedback or critiques.
Silent and precise.

value: Show HN: SilentGPT – Terminal ChatGPT Client in C (AES-256, No Telemetry)

author: silentpuck


value:
When I (re)play some games, I like to clear the Steam achievements so I can earn them again and have a fuller, more complete experience when playing. Examples include The Witcher 3 and Subnautica.
In the past I used to do that using Steam Achievement Manager (SAM), but since then I have switched to using Linux. I couldn't get SAM to work on Linux, so I looked inside to see how it works and decided to make my own small tool to do what I needed.
I first tried some things with C, C++, and Go but while I achieved a little progress I couldn't get the whole thing right. In the end with some help from Claude I was able to make this tiny C application which does exactly what I need.
It loads the libsteam_api.so library and executes some calls, pretending to be the actual game from the Steam perspective. Funny thing is that your friends will even see that you are in-game while the application is running. While there does not seem to be any security or checks around this "hack", and I've used Steam Achievement Manager for many years now, there are claims and warnings online that you might get VAC (Valve Anti-Cheat) banned when you use tools like this with on-line games.
While possible, I currently don't have any intention to build a complete Steam Achievement Manager clone for Linux.
Any feedback is welcome.

value: Show HN: A tiny Linux tool for clearing Steam achievements


value: cpetersen

value: I've been working on Red Candle, a Ruby gem that runs LLMs (Llama, Mistral, Gemma, Phi) directly in your Ruby process through Rust bindings (based on the candle crate from Hugging Face). No Python, no servers - just FFI with Metal/CUDA acceleration.<p>It's been useful for adding AI features to Rails apps without the complexity of managing separate services. Would love feedback from anyone working with LLMs in Ruby.

value: Show HN: Red Candle – Run LLMs Natively in Ruby with Rust

author: cpetersen


value:
Hey HN,
I built Wordless because I kept wishing Wordle would let me binge past the daily word. It’s a single HTML file (~42 KB gzipped) that:
- Lets you pick word length 3–8
- Generates a new target word on refresh (no server calls after load)
- Stores only your current game state in localStorage
- Works offline once cached
Code is MIT at https://github.com/win-wiz/wordless
Live demo: https://wordless.online
Fun bits under the hood
- Entire dictionary (275 k words) is compressed with a simple trie + base-2048 encoding, fits in one fetch.
- Color palette passes WCAG AAA; my color-blind friend can finally beat me.
- No analytics, no ads, one optional “buy me a coffee” link.
I’d love brutal feedback on the dictionary choices (American-only feels limiting) and any clever compression tricks I missed. Thanks for looking!

value: Show HN: Wordless – open-source Wordle clone with infinite 3-8 letter puzzles


value:
Hi HN! Solo founder here. Built PayRankJobs (https://payrankjobs.com) after my (tech writer) wife kept getting spammed with $55K job "opportunities" when she's already making $200K.
What it does:
  - Upload your resume.

  - Set your minimum salary requirement (optional).

  - Get an email with personalized job matches that actually pay well.

  - Includes AI-researched salary data (base + equity) and company ratings

Technical stack:
  - Serverless on Cloudflare Workers

  - LLM for resume parsing

  - LLM for embeddings/matching

  - PostgreSQL + pgvector for similarity search

  - Dynamic job fetching via Google.

Key differentiator: Instead of browsing endless job boards, the system finds YOU the highest-paying roles. No more wasting time on jobs that don't meet your salary requirements.
Currently works for all english speaking countries (not just US) and provides salaries in local currency.
I haven't figured out monetization yet - currently burning through my own money on API costs. Would love ideas on this. Some thoughts:

  - Charge job seekers after X matches?

  - Recruiting/sourcing tool for companies?

  - Premium features (more frequent updates, salary negotiation tips)?

I'd love feedback on:

  - The onboarding experience

  - Email format/content

  - What other features would be valuable?

Happy to answer any questions about the implementation.

value: Show HN: PayRankJobs – AI matches your resume with the highest-paying jobs


value: Mignet

value:
Hi HN!
I recently launched a prototype of *ClearDoc*, an AI-powered tool to extract structured data from unstructured documents like invoices, bills of lading, certificates, etc.
It uses *OCR (PaddleOCR)* and *LLMs* to detect and align key fields — even for complex documents with tables, nested fields, or in different languages.
It doesn't require templates and can be *self-hosted* (demo runs on my own GPU).
Live demo (no sign-up): http://cleardoc.v5ent.com/
 Demo video: https://www.youtube.com/watch?v=u83T6iewfNs
Right now:
- Fields are auto-aligned visually on the document
- Works with PDFs, images, scans
- No custom field design/editing in the demo yet
Would love feedback on:
- Which use cases matter most to you?
- What would make this valuable enough to adopt?
Thanks!

value: Show HN: ClearDoc – Extract fields from any document using OCR and LLM

author: Mignet


value: shhdharmen

value:
Rapid Angular UI Development - With Pre-built Blocks & Powerful CLI
Preview blocks in your browser and copy the code with a single click. OR Install, add, and update blocks effortlessly with our command-line interface.
We designed the blocks you always wanted for building dashboards, applications, and more. From forms to billing pages, bring your next project to life swiftly.
Our MCP server provides superior AI-assisted development. Enhance your IDE with direct access to all Angular Material Blocks for smarter code generation.

value: Show HN: Angular Material Blocks – Powered by Angular Material & Tailwind CSS

author: shhdharmen


value: hugodutka

value: Show HN: Wush Action – SSH into GitHub Actions

author: hugodutka


value: handsometong

value: Transform your iPhone HEIC photos to PNG format with our lightning-fast online tool. Zero installations, complete privacy, unlimited conversions.

value: Show HN: HEIC to PNG Converter – Transform iPhone Photos Instantly

author: handsometong


value: coolhanhim

value: Show HN: Whisper at 1.58 bits with custom kernels for edge inference

author: coolhanhim


value: llagerlof

value:
Hi HN,
I made a browser addon called Website Table Exporter for Firefox and Chrome. It lets you export any HTML table on a page to CSV, JSON and Markdown, straight to your clipboard with one click.
Why?
Because copying tables from websites is surprisingly annoying. I kept running into mangled formatting or weird extra markup when trying to grab data for research or personal use. So I built something small, open, and fully client-side. No tracking, no network calls, no nonsense.
Features:
- Export any HTML table to CSV, JSON or Markdown.
- One-click export via a small button in the first cell of each table.
- Automatically strips inner HTML tags.
- Warns if the table has merged cells (which can mess up the output).
- 100% local, no telemetry, no ads.
How to use it:
Install the addon, visit any page with a table, and click the little button that appears in the top-left cell. You can toggle the export buttons visibility clicking the addon button on browser's top bar.
Links:
- Source on GitHub: https://github.com/llagerlof/websitetableexporter
- Firefox Add-on: https://addons.mozilla.org/firefox/addon/website-table-expor...
Would love any feedback, ideas, or bug reports. Thanks!

value: Show HN: A browser extension to export tables to CSV, JSON and Markdown

author: llagerlof


value: WasimBhai

value: Show HN: Gistpod: Between 1991-2007, 0.4M jobs in US were lost to robots

author: WasimBhai


value: sawradip

value:
Built an AI code reviewer using Letta (Python) that I can call natively from Rust applications.
The interesting part: real-time streaming works perfectly across the language boundary with zero hassle using RunAgent.
The agent runs in Python with persistent memory, leverages the best in house agentic memory management with Letta (Pythonic AI agent framework), and my rust code just uses it (kinda) natively, though Letta has no Rust bindings. And, streaming works like magic.
No FFI, no complex bridges - just native async/streaming that feels like calling any Rust librar, but without writing a single line of websocket code.
The AI agent remembers coding patterns and learns from previous reviews, but the deployment abstraction is what made this possible.
Code: https://github.com/runagent-dev/runagent/tree/main/examples/...

value: Show HN: AI code reviewer with Python agent called from Rust, streaming works

author: sawradip


value: ebrizzzz

value: Show HN: An interactive map for 120k+games,books,movies by story time & location

author: ebrizzzz


value: cyberpanda

value:
Side Reader is a Chrome extension that lets you read and interact with PDFs directly on ChatGPT, Claude, and DeepSeek websites.
I built Side Reader because I got tired of the constant tab-switching between PDF readers and AI chat - copying text, switching tabs, pasting, repeat. It was driving me crazy.
Over time, I added more features like custom highlight buttons, screenshot functionality, and local storage.

value: Show HN: Side Reader – Better PDF Chat Experience for ChatGPT and Claude

author: cyberpanda


value: sreeragnandan

value:
Hey HN
I deployed one of projects: *FocoDo.Work* — a minimal, distraction-free focus timer and to-do list app.
I built this to help myself stay focused without the clutter of most productivity tools, and thought others might find it useful too. It’s privacy-first, super simple, and works right in the browser.
Features:
 Add tasks and track time with a built-in timer
 See the total time you spent working on each task
 All data is stored locally on your device — no sign-up needed
 Share your tasks with a quick link across devices or with friends/colleagues
 Keep the timer visible in a floating picture-in-picture window
 Full-screen mode for deep work
Would love to hear your feedback or suggestions. I’m planning to keep iterating on it!
Try it out here: https://focodo.work

value: Show HN: FocoDo.Work – A distraction-free focus timer and to-do app

author: sreeragnandan


value: pardnchiu

value: Show HN: (NEW update v1.1.0) A lightweight Go Cron package

author: pardnchiu


value: ebod

value: Show HN: Git Quick Stats via VSCode

author: ebod

title: Show HN: Git Quick Stats via VSCode


value: alexandergekov

value:
As a kid I played Little Alchemy - a combination game where you start with 4 basic elements and can combine them to create new ones.
The combinations were ~600 in total, so I asked myself why can't we have infinite amount. That's how I built this project.
You can prompt and combine anything. Whether it's a "Rust Developer" and a "Girlfriend" - that works too I guess :)
How to play:
Start with 2 random elements
Drag & drop to mix and discover
Combine your way to new ideas
GitHub: https://github.com/alexander-gekov/infinite-alchemy

value: Show HN: I made a LittleAlchemy clone but with infinite combinations

author: alexandergekov


value:
hi HN!
I managed my bucket list (things to do before I die) in the .md file but I've found it not quite effective, so I built the website.
I want to deliver high quality and yet collaborative catalog of ideas to have.
Traditional todo lists lacks several things in the context of the bucket list -> these are not public / social, there is no catalog to inspire, there's no catalog to inspire you, lack of gamification, etc.
Also, would be nice to have a lifetime visual history of personal achievements.
All feedback is welcome.

value: Show HN: Bucketly – visual history of personal achievements


value: kbrisso

value:
Hello everyone,
To learn more about MCPs, I decided to build a server to run Llama.cpp locally. Currently, it functions as an inference server. I thought others who are interested in learning how this works might find it useful. I didn't find anything similar on the web.
I used this SDK to build it: https://github.com/metoro-io/mcp-golang
Thanks!
Kevin

value: Show HN: I made a MCP server in Go that runs Llama.cpp local

author: kbrisso


value:
Built an AI Guitar Teacher over the weekend!
Code here: https://github.com/tekaratzas/GuitarGPT
Uses Gemini 2.5 Flash to analyze video of you playing, Highlights segments then pumps out a personalized practice routine.
Been using it to get unstuck on some more difficult passages. Pretty insane how good it is given this is just the start.

value: Show HN: AI Analyzes Your Guitar Playing from Video – Built with Gemini 2.5


value: marcobambini

value: Show HN: SQLite-vector – Vector search extension for SQLite (no index, 30MB RAM)

author: marcobambini


value: NeelDas

value:
In my 15+ years as a developer, one of the most frustrating problems I've seen across teams is outdated documentation. I’ll be honest, I skip it myself. You ship a feature and move on. Then a month later, someone is onboarding or debugging and runs into stale docs that no longer reflect the code.
I tried fixing this with tools like Swagger and Sphinx-autodoc, but they only work for narrow use cases like OpenAPI or annotations. They don’t help with the high-level stuff like onboarding tutorials, SDK guides, or user-facing examples. You still have to keep things like docstrings in sync, and it’s a manual burden.
LLMs helped a bit. Tools like Cursor and Copilot let you prompt for doc updates, and they work to some extent. But you have to remember to prompt after every change, figure out the right context manually, and hope your teammates don’t overwrite things in their own AI sessions. And if you're not careful, the updated docs lose their original structure or style.
So I built DeepDocs — a GitHub-native AI app that keeps your documentation in sync with your codebase automatically. Once installed, it listens to your commits, detects doc drift, and opens a clean branch with suggested updates. No prompting. No context setup. No forgetting.
DeepDocs understands both your code and your docs in full context. It updates only what’s necessary and leaves your formatting intact. You can also trigger a full Deep Scan to fix outdated docs across your entire repo in one go. It works with monorepos, external docs repos, integrates easily with popular doc generators like Docusaurus or MkDocs, and fits naturally into your existing GitHub flow.
What I’m most proud of is that it works like CI for documentation. You don’t need to change your habits. Just commit your code and let DeepDocs handle the rest.

value: Show HN: Fix your outdated GitHub docs on autopilot

author: NeelDas


value: zenape

value:
edit typo:
www.ripekiwis.com
Made a simple guided self inquiry tool.
Self inquiry is a technique to realize your true self from the delusion of thoughts made popular by the great teacher Maharshi.
https://en.wikipedia.org/wiki/Self-enquiry_(Ramana_Maharshi)
If you're suffering or have the burning desire to find out who you are, give it a go.

value: Show HN: RipeKiwis – Self Inquiry for the serious meditator

author: zenape


value: abdulrahman-mh

value: Show HN: Get Proxy – Fast tool to collect free proxies from custom sources

author: abdulrahman-mh


value: justref

value: Show HN: JustRef – AI Referee for Sports

author: justref


value: OneWithTech

value:
Hey HN,
I built AnthroShield to verify that users are human — without relying on CAPTCHA, ID uploads, or annoying email loops. It’s real-time, frictionless, and works anywhere with a webcam.
The tech runs at the edge using Cloudflare Workers, React/TS, and encrypted facial capture. Designed for login flows, checkouts, admin panels—anywhere human presence matters.
I come from a background in physical security (access control, alarms, surveillance) and shifted into AI to solve digital problems with the same mindset: don’t trust — verify.
Live demo: [https://demo.AnthroShield.com](https://demo.AnthroShield.com)
UN: ASFaceVerifyDemo
PW: .fAcE!420@ASai
Would love your thoughts on the flow, use cases, or what you'd want in a system like this.

value: Show HN: AnthroShield – AI Human Verification Without Captcha or ID

author: OneWithTech


value:
Hi HN!
I built TrackJ – a cross-platform tool to help you track, organize, and analyze your job applications.
What is TrackJ?
TrackJ is a job application tracker made of:
• A web app where you can manage and analyze all your job applications
• A Chrome extension that detects job offers on major job boards and lets you save them in one click
• A mobile app (coming soon) to complete the on-the-go experience and quickly choose which work application best suits your profile.
Why did I build this?
I made it for myself, frustrated with spreadsheets and scattered notes while applying for jobs. It started as a small script but grew into something I now use daily.
What I find most helpful:
• being able to save applications with one click directly from the job site,
• seeing time gaps between interviews or applications,
• understanding what kinds of jobs I have the most success with,
• keeping everything in sync across devices.
What makes it different?
TrackJ is intentionally simple.
It focuses only on helping you track your job applications, without overwhelming you with dozens of fields, resume scores, or AI suggestions.
It’s just a clean, minimal tracker that works across web, browser, and soon mobile—so you can stay organized without extra noise.
Can I try it?
Yes! The website is public and you can browse it without signing up. If you want to save applications or sync across devices, you can register with email or Google.
If you have any questions, please comment below or contact me at support@track-j.com.

value: Show HN: TrackJ – Track your job applications via web, Chrome extension and App


value: hikerell

value:
Hi HN,
I’ve been collecting and analyzing expired domains for years — especially those about to drop. Every day, tens of thousands expire. Most are junk, but a few still have traffic, backlinks, SEO value, or just great names. Finding them used to take hours.
Last week I put my internal tools online:
 https://pendingdelete.domains
 No login, no paywall
 Updated daily
 Combines domain history, traffic, SEO data and AI-driven insights to identify valuable expirations
The goal: help spot valuable domains quickly and skip the noise.
Still a work-in-progress — would love feedback:
Is this useful?
What signals or filters would you add?
Any UI or speed improvements?
Thanks!

value: Show HN: I built a free tool to find valuable expired domains using AI

author: hikerell


value: yz-yu

value: Show HN: I Built a Tool to Visualize Claude Code's LLM Interactions

author: yz-yu


value:
Hey everyone!
A couple of weeks ago I was exploring how to integrate multiple LLMs into one project, and I had this idea: what if I could leverage AI to interact with APIs in natural language?
After chatting with my cofounder, we were both intrigued. So I opened up Cursor and hacked together a prototype.
After a few iterations, we had a working alpha: by dropping an OpenAPI file, we were able to get an AI Agent that understands it and can call those APIs using natural language.
The Agent understood every prompt, made the right API calls and even auto-corrected bad payloads.
For internal APIs, auth is always tricky, so we added a system that supports API keys and credentials client-side only. Tokens are never stored on our backend. We also integrated it with Postman, so you can easily import your collections.
We imagine different use-cases and plan to add integrations (Stripe, Slack, CRMs, etc) and allow users to embed it where they want (for example on their platforms, so that their end-users can chat with the APIs and perform actions).
Looking for early users and feedbacks.

value: Show HN: I built a tool that turns OpenAPI specs into an agent


value: orangepush

value:
With App Center CodePush now sunset, many teams are looking for a secure, enterprise-grade solution for managing over-the-air (OTA) updates in React Native apps.
Appcircle CodePush is a fully managed, modern alternative built into Appcircle’s end-to-end mobile CI/CD platform.
Why Appcircle CodePush?
- No app store resubmissions: Instantly deliver updates to users while keeping your security and compliance standards.
- Enterprise-ready:
Self-hosted or cloud deployment options
Role-based access control, SSO/LDAP support
Code signing, package diff, code obfuscation support, and end-to-end encryption
Detailed audit logs and compliance reporting
- Flexible usage:
Manage OTA updates through the Appcircle dashboard, with the CLI, or by adding Appcircle CodePush as a workflow step in your CI pipeline, depending on what fits your process best.
- End-to-end management:
Centralized dashboard for updates, rollbacks, and channel management
Automated workflows, built-in testing, update history
Fast and scalable delivery with secure CDN support
- Transparent and trackable:
Monitor all updates, rollbacks, and usage from a single dashboard
Access compliance-ready reports and full audit trails
- Get started:
Docs & quickstart: https://docs.appcircle.io/code-push
Happy to answer any questions or feedback!

value: Show HN: Appcircle CodePush – Secure Alternative of App Center CodePush

author: orangepush


value: jtanderson

value:
Hi HN! I’m super excited to share with you my first completely self-developed app: SitzProbe[1].
This is an application that came from a simple (yet unfilled) need I had. When sitting down to practice music, I had trouble keeping track of all the different pieces I knew and which ones I have or haven’t played recently. But I wanted to make sure I kept practicing the old ones mixed in with the new, so ended up with a mess of lists and notes on my phone.
I’ve also always been fascinated by the theories of spaced repetition[2], but they’ve always been geared toward very atomic bits of learning (languages, technical vocabulary, etc.).
So I decided to combine the two into a slightly fancier todo list: one where your tasks will never be “done”, but if you do them well, you do them less often; and if you don’t do so well, it will prompt you to repeat them more often until you do them better.  As far as I could find, this sort of thing wasn’t available, so I made one.
Any feedback, comments, critiques, are appreciated. There are certainly bits of the app that aren’t finished (what software is ever complete?) but would also love suggestions on extra things I might consider adding in the future.
[1]: https://sitzprobe.app/
[2]: https://en.wikipedia.org/wiki/Spaced_repetition

value: Show HN: SitzProbe.app – Spaced Repetition for Performances and Complex Tasks

author: jtanderson


value: claviska

value:
I work at Font Awesome (YC 2015) and we recently launched Font Awesome 7, including hundreds of new icons, a fresh visual redesign, and better perf.
Fun fact: Font Awesome icons are viewed 6–8 TRILLION times per month, so we have a pretty good idea which ones are used the most! Armed with this knowledge, we added seven entirely new icon packs, each with 200+ of the most frequently used icons in their own unique designs.
What's new in v7:
- 300+ new icons
- Redesigned core icons for better visual consistency, clearer shapes, and smoother outlines
- The Icon Wizard now supports over 40 modifiers and can instantly convert modified icons into Duotone
- Better rendering and file loading
- Seven new Pro+ icon packs: Chisel, Etch, Jelly, Notdog, Slab, Thumbprint, Whiteboard, and more on the way
Head to https://fontawesome.com/ to browse all of the new icons and styles.
We love feedback and I'm happy to answer any questions about the release, the tech behind it, or icon design in general! (Note that I primarily work on a sister product called Web Awesome, so it might take me a little time to reply if I have to ping a colleague about a specific question!)

value: Show HN: Font Awesome 7 launches with new icon packs

author: claviska


value: yorkie

value:
Hi HN, author here.
I've been working on JSAR, a new open-source spatial browser engine. Our latest work was to render a stereo 3D photo using just a simple HTML tag (<img spatial="stereo">), without needing WebGL or shaders.
The interesting part is how I built it. I paired with GitHub's Coding Agent for the entire process. It was fascinating to see it suggest entire C/C++ functions for parsing attributes and calculating UV coordinates for the renderer. The whole implementation is in a single commit: https://github.com/M-CreativeLab/jsar-runtime/commit/ff8e291...
I wrote this post detailing the technical breakdown. The goal is to make spatial web development as easy as traditional web dev.
Happy to answer questions about the engine's architecture, C/C++, or what it's like to pair-program with an AI.

value: Show HN: Added stereo photo rendering to Our Browser Engine – With Copilot

author: yorkie


value: sarahslr

value:
Hi! It’s Sarah and Laurent from Elkar, we built an AI Agent Analyst for Excel and Google Sheets.
Instead of spending hours on VLOOKUP formulas or manual data cleanup, you just type "analyze Q3 revenue trends and forecast for Q4" and it handles everything.
It helps with tasks like writing formulas, creating graphs, building financial models (DCF, Montecarlo simulation, forecasting models...), spotting errors, and even importing and formatting data from PDFs, all from a single prompt.
We just launched and we would love your feedback, especially from finance teams and analysts who live in spreadsheets all day!
It’s free to try, it’s an Excel add-in or Google Sheets extension.
Happy to answer questions!

value: Show HN: Elkar, AI Agent for Excel and Google Sheets

author: sarahslr


value: benesing

value:
I didn't know how absurdly large the Edinburgh Fringe was until I performed there. In roughly three weeks, there are about 3800 shows and more than 50,000 performances of those shows.
That inspired me to start a SaaS for festival schedules, and this is my new site for navigating the Fringe as well as the other festivals in Edinburgh (as if it wasn't big enough already).
The site is using embeddings for semantic search, so "comedy duo about fruit" has some surprisingly relevant results. The assistant has MCP tools for the same search as well as geo coordinates, and it's been making very good suggestions, schedules, and conversations.
A big thanks to Festivals Edinburgh for making the data available.
Happy to answer questions about it!
Tech stack: FreeBSD, PostgreSQL, GraphQL, Node, Remix, React
AI by Anthropic and Voyage

value: Show HN: Edifest.fyi – browse the Edinburgh Fringe with embeddings and MCP chat

author: benesing


value: meehanto

value:
Hey HN,
We’re excited to share preq ("preek"), an Apache‑2 licensed, community‑powered tool that scans your logs and configs to flag issues before they become incidents. It’s driven by Common Reliability Enumerations (CREs)—a growing library of community‑curated rules that describe real‑world failure patterns.
The project was inspired by the frustrations we experienced monitoring applications at leading companies:
* slow, manually incident investigations
* noisy telemetry and alerts
* missed warning signs that caused incidents
We believe engineering teams should be able to detect open source bugs, misconfigurations, and developer anti-patterns without hours of manual effort
We recently open-sourced preq which features:
* Auto‑updating rules: always stay in sync with the latest CREs from https://github.com/prequel-dev/cre
* Lightweight & cross‑platform: runs on Linux, macOS, Windows
* Native Kubernetes support: kubectl support via a Krew plugin
* Notifications: Slack integration and native kubectl support via a Krew plugin
* 100% open source: contributors welcome
We recently shipped v0.1.31 which adds:
* Embedded runbook expressions for guided remediation
* CLI parity tests & coverage reporting
* Improved auth timeout handling and bug fixes
* A slew of new unit tests across the engine, UX, and rule
packages
* Welcoming many first‑time contributors: @samgaw, @amanycodes, @ramin, @kris‑gaudel, @Harsh9485
If this sounds useful, please leave us a  on GitHub and drop any feedback or feature requests below. Huge thanks to everyone who’s helped shape this release—what should we tackle next?
Looking forward to your thoughts!
Full docs are here: https://docs.prequel.dev/

value: Show HN: Preq – Community powered detection of hidden reliability problems

author: meehanto


value: weijunext

value:
The Next.js SaaS boilerplate market is saturated, but there's still room if you solve real developer pain points. I believe I've done exactly that – 70+ customers in just 90 days proves there's genuine demand for what Nexty offers.
Hi, I'm Jude Wei, a software engineer obsessed with understanding what developers actually need. 90 days ago, I started building what I thought would be just another personal Next.js template. But as features evolved, I realized I was creating something that could genuinely help fellow developers ship faster. That's when Nexty.dev was born.
Thanks to incredible feedback from early users, Nexty has become one of the top 3 Next.js SaaS boilerplates. Here's what makes it different:
1. Perfect Landing Pages: Universal structure design – just swap text and images to get a beautiful product landing page
2. Multi-language Support: Launch globally from day one with built-in internationalization
3. Flexible Authentication: Social + email login via Supabase Auth, easily extensible for more providers
4. Complete Email Solution: Domain email setup + ready-to-use newsletter system for instant user engagement
5. SEO-Optimized: Optimized page structure and comprehensive meta handling to get search engines' attention fast
6.  Visual Pricing Management (Nexty Exclusive): No more complex JSON configs! Manage pricing plans through a visual dashboard, sync with Stripe, and auto-translate to multiple languages
7. AI Testing Playground (Nexty Exclusive): Not just API wrappers – a complete testing environment that teaches you AI development. Other boilerplates give you templates; Nexty gives you understanding.
8.  Advanced CMS (Most Comprehensive): Beyond blogging – build paid content platforms with access control and multi-language support. Features no other boilerplate offers.
Nexty's Tech Stack: Next.js, TailwindCSS, Shadcn, Supabase, Stripe, Resend, Upstash, AI SDK, OpenRouter, Replicate.
Deploy Anywhere: Vercel, Dokploy, or VPS.
What I'm most proud of? The testimonials from real users. Great products need great support, and I'm confident Nexty delivers both – top 3 boilerplate, top 1 customer service.

value: Show HN: I built Nexty.dev – 90 days since launch, 70 paid customers

author: weijunext


value: ipogrjegiorejkf

value: Some of the other discord server directories were expensive to promote your server on. We even have a free forever tier to bump your server (just copy the link in your settings).

value: Show HN: Discord Server Directory

author: ipogrjegiorejkf

title: Show HN: Discord Server Directory


value: iryndin

value: This site provides lists with 305M of domain names across 1570 domain zones in the entire Internet. You can download these lists from the website or via API. Domain lists for majority of zones are updated daily.

value: Show HN: Allzonefiles.io – get lists of all registered domains in the Internet

author: iryndin


value: krewl

value:
Hey HN,
Last weekend I built a small web app called ClipVault to solve a personal itch — cleaning up my Kindle highlights from the My Clippings.txt file. Nothing fancy, straight to the point.
The app runs locally in your browser (nothing gets uploaded), and lets you:
- Import your Kindle’s My Clippings.txt via drag & drop
- Easily remove duplicates, headers, and unwanted clutter
- View your highlights sorted by book
- Export them to Obsidian (Markdown), Evernote (.enex), or CSV
It's completely free, private, and requires no login. Just open the page and get to work.
I’m not trying to monetize this or anything — I just figured others might find it useful too. If you use Obsidian, Evernote, or just like keeping your reading notes tidy, I’d love to know what you think.
Please let me know if you I missed anything or you encounter issues while trying it.
Cheers

value: Show HN: I built a free tool to clean up and export your Kindle highlights

author: krewl


value: Mbauro

value:
Hey HN,
I built a lightweight, open source Planning Poker tool that runs entirely in the terminal (CLI-only) — no browser, just raw TCP connections. It’s ideal for everyone who love keeping things minimal and fast.
Why I made it:
I found most planning poker tools either overkill, slow, or locked behind paywalls. I wanted something:
- Simple and fast
- Cross-platform (just a binary)
- Usable in remote teams, via terminal sharing or remote sessions
Here is the GitHub link: https://github.com/Mbauro/party-goker
It’s still evolving, so I’d love to get your feedback.
Feel free to try it out, or open an issue/pull request if you want to contribute

value: Show HN: Party Goker – A minimal CLI planning poker tool for Scrum

author: Mbauro


value: pardnchiu

value:
C²hat is an end-to-end encrypted chat extension that protects your private communications.<p>Features:
- End-to-end encrypted messaging
- Secure instant messaging
- Clean and user-friendly interface
- No account registration required

value: Show HN: C2hat – Cross-Domain Chat

author: pardnchiu

title: Show HN: C2hat – Cross-Domain Chat


value: fahimulhaq

value: Show HN: Mock Interviews for Software Engineers

author: fahimulhaq


value: wentin

value: Show HN: Typogram Studio – like Figma but for typography

author: wentin


value: Riphyak

value:
Hey Hackers,
My co-founder and I built an AI bot that reads the natural-language context from email or Slack chat and traces availability links (Calendly, cal.com, etc), then compares the other person availability with yours to find the optimal time. It also drafts email responses and re-schedules meetings. Demo: https://www.youtube.com/watch?v=YAJBARVWf1w
Thanks very much in advance for your feedback!

value: Show HN: I built an AI agent that schedules meetings from Gmail and Slack

author: Riphyak


value:
Hi HN,
I’ve been working on a side project called SocialKit, a simple API for scraping structured data from public social media posts (YouTube, Shorts, more coming soon).
It's designed for dev, no-code users, and marketers who want to extract things like summaries, transcripts, details, and more from YouTube.
I sold two previous side projects (LectureKit and CaptureKit), and this is my latest attempt at building something useful and focused. I would love to get any feedback :)
Happy to answer any questions, and thanks for checking it out!
Jonathan

value: Show HN: I built an API for extracting YouTube summaries, transcripts and stats


value: ieuanking

value: Would love your feedback <3<p>live now @ ubik.studio

value: Show HN:We built an AI agent that can highlight PDFs like a human

author: ieuanking


value: scosman

value:
I noticed there weren't boilerplates for AI projects like there were for web apps, so I built one. Same idea - everything you need to get a project up and running quickly. However, instead of web-framework/CSS/DB, it's tools for AI projects: evals, synthetic data gen, fine-tuning, and more.
Kiln is a free, open tool that gives you everything most AI projects need in one integrated package:
- Eval system: including LLM-as-judge evals, eval data generation, human baselines
- Fine-tuning: proxy to many fine-tuning providers like Fireworks/Together/OpenAI/Unsloth
- Synthetic data generation: deeply integrated into evals and fine-tuning
- Model routing: 12 providers including Ollama, OpenRouter, and more
- Git-based collaboration: projects are designed to be synced through your own git server
The key insight is that these tools work much better when they're integrated. For example, the synthetic data generator knows whether you're creating data for evals vs. fine-tuning (which have very different data needs), and evals can automatically test different prompt/model/fine-tune combinations.
It runs entirely locally - your project data stays in local files, and you control your own git repos. No external services required (though it integrates with them if you want).
Main project GitHub: https://github.com/Kiln-AI/Kiln
Demo GitHub where I use it to build a 'natural language to ffmpeg command' demo with evals, fine-tunes, and synthetic data (including demo video): https://github.com/Kiln-AI/demos/blob/main/end_to_end_projec...

value: Show HN: Kiln – AI Boilerplate with Evals, Fine-Tuning, Synthetic Data, and Git

author: scosman


value: Show HN: Pure CUDA C Inference for Qwen3 0.6B in One File, No Dependencies


value: jdjdgaming

value: Show HN: Tectonic Game Engine

author: jdjdgaming

title: Show HN: Tectonic Game Engine


value:
A Wordle-inspired daily challenge where you crack a 4-digit code in 10 attempts. Each guess reveals how many digits exist in the code and how many are in the correct position.
Same code for everyone daily, plus a practice mode for unlimited attempts. Clean design with dark mode and result sharing.
Built with Svelte + Tailwind. Try it: https://krackthekode.pyrrho.dev

value: Show HN: KrackTheKode – Daily number code-breaking game


value: cryptoz

value:
I've built a whole new UX and platform where you can quickly make LLM-backed webapps and when people use them, you earn on each AI API call. I've been working on this for 2 years! What do you think?
Here's how it works:
1) You make a Project, which means we run a docker container for you that has python/flask and an optional sqlite database.
2) You provide a project name and description
3) The LLM makes tickets and runs through them to complete your webapp.
4) You get a preview iframe served from your docker, and access to server logs and error messages.
5) When your webapp is ready, you can Publish it to a subdomain on our site. During the publish process you can choose to require users to log in via Code+=AI, which enables you to earn on the token margins used. We charge 2x the token costs of OpenAI - that's where your margin comes in. I'll pay OpenAI the 1x cost, then of the remaining amount you will earn 80% and I'll keep 20%.
The goal: You can validate your simple-to-medium LLM-powered webapp idea much easier than ever before.
Some fun technical details: Behind the scenes, we do code modifications via AST transformations rather than using diffs or a full-file replace. I wrote a blog post with details about how this works: https://codeplusequalsai.com/static/blog/prompting_llms_to_m...
Would love some feedback! What do you think?

value: Show HN: New way to validate your LLM webapp idea and earn on token margins

author: cryptoz


value: bharatgel

value: Building on asyncmcp, a library for custom transport layers for Model Context Protocol (MCP), I added a custom transport for webhook support that lets MCP server tools respond asynchronously via webhook. When async marked tools are called, the result gets sent to the registered endpoint instead of blocking the connection.<p>This is still experimental but provides a way to add webhook support to MCP. You can clone the repo and try the streamable_http_webhook examples.

value: Show HN: I added webhook response support for MCP tool calls in asyncmcp

author: bharatgel


value: bettercalljohn

value:
Hi HN,
A few months ago, I shared Talanoa here — my attempt to rethink the inbox around people, not threads or timelines. The feedback was amazing and really helped shape the next steps.
Today, I’m back with a big update: multi-account support is now live.
You can now connect multiple Gmail and Outlook inboxes in one interface — no more switching tabs or losing context across accounts.
For those who missed the first post: I’m a fullstack indie dev who was frustrated with the traditional inbox. I didn’t want another "Inbox Zero" tool — I wanted something more human. Conversations, not chaos. Threads grouped by people, not time. A clear view of who I need to respond to, and nothing more.
Since launch, I’ve onboarded early users one by one, watched how they use it, and kept improving. Multi-account was the most requested feature — and honestly, something I needed for myself too.
Talanoa is still a lightweight, local-first desktop app (Electron + Vue). No servers, no backend, just your data and your inbox. It works offline, boots fast, and doesn’t try to be clever with AI (yet). Privacy and simplicity first.
This journey’s been incredibly fun and humbling. If you use multiple inboxes and want to try a different way of working through email, give it a spin. I’d love your thoughts and feedback.
Thanks again,
John

value: Show HN: Talanoa – An email client that thinks like you (now with multi-account)

author: bettercalljohn


value: Show HN: 1Server – Simplify Your Project Setup


value: Show HN: Rollback netplay for Game Boy emulator


value:
Hi HN -
I made a site that takes a UK postcode, grabs the local MP's information and generates an AI mockup of what their ID might look like.
It's a small, silly protest at the stupidity of the Online Safety Act that just came into force.
edit - My open AI credits got hugged to death, please use a known postcode (like one from Kier Starmer's constituency, WC2B6NH) in the meantime.

value: Show HN: Use Their ID – Use your local UK MP’s ID for the Online Safety Act


value: mackenziebowes

value:
I made a free local private kanban and published the source code.
I also made a video with more details on usage, inspiration, why it exists, what to do with it, etc.
https://www.youtube.com/watch?v=6qJYg3OuOx4
I made this to support me while working on another project, and I did the thing where I got all mad about paying $20 a month for a SaaS kanban, but actually got the thing done in 2 days as predicted because I have a sick component library.
Cool different things about this:
- Uses a popular Japanese mobile -> desktop progressive enhancement pattern not seen often in America
- Uses gfm-md so you can dump ChatGPT/Claude/Gemini etc tickets
- Uses sqlite for local storage
- You can `bun dev --host` bc solid and use it on your phone while puttering around your office
- It has prebuilt hooks (db schemas + routes) for adding auth so you can easily wire it up for deployment and use it wherever ($12 akamai box < $20 SaaS sub)
Use bun as the runtime for this.
Enjoy your extra $96 - $240 a year :3

value: Show HN: Yet Another Kanban – FOSS, local, private proj. mgmt

author: mackenziebowes


value: tommihip

value:
We just open-sourced reDB: a distributed, policy-driven data mesh that provides real-time access, replication, and migration across databases — including relational, NoSQL, graph, vector, and more.
It’s designed for AI systems, developers, and ops teams working in complex, multi-database environments.
Highlights:
- Unified schema model across database types
- Built-in schema version control
- Zero-downtime migration and replication
- Quantum-safe encryption and data obfuscation
- AI agent integration via Model Context Protocol (MCP)
GitHub: https://github.com/redbco/redb-open

value: Show HN: ReDB – Distributed data mesh for seamless DB replication and access

author: tommihip


value: tensorblock

value:
We recently built something useful if you want to run Claude Code with any LLMs.
Forge is an open-source API layer that lets you mix Claude Code with any model – OpenAI, Gemini, Qwen, Moonshot, etc. Full flexibility without changing your app logic.
You can mix-and-match models however you’d like.
Our demo runs:
Gemini 2.5 Flash as the fast, lightweight model
Qwen3-Coder-480B as the more powerful planner and code generator
But you can configure whatever combo works best for your use case.
Forge offers better performance, lower costs, and full control with self-hosting options.
You can find our quickstart repo here: https://github.com/TensorBlock/claude-code-forge
Would love to hear your thoughts on this!

value: Show HN: Running Claude Code using any LLMs? Here's an open-source tool for it

author: tensorblock


value: michaelphi

value:
We're living in this weird asymmetry where companies use AI to talk to us, but we're still manually dialing them. Companies everywhere are adopting AI voice agents lately. Big retail, family dentist clinics, local pharmacy. This year, I've been in a few calls where it's super natural sounding AI, which has been pretty cool to experience. But then it got me thinking - why are we, the consumers, still the ones making calls if they're using robots for theirs?
So I built Piper: basically AI that makes phone calls for you. You tell it what you need (book appointment, check on an order, dispute some charge, whatever), and it handles the entire conversation while you do actual work. Right now it's a web app, Chrome extension is pending approval but soon you'll be able to click any phone number anywhere and just let Piper handle it.
Technical stuff that was harder than expected:
Latency - every millisecond counts in conversation, had to optimize around kv cache, got it down to ~1000ms to first word over PSTN for telephony, which feels pretty natural
Keeping the voice agents on track - built custom context engineering logic that constantly updates the agent's situational awareness, so it knows when it's been transferred, when it's on hold, etc
Done ~50 successful calls with early testers so far. Main failures are when they need complex verification or documents. Also had to take down our IVR navigation temporarily :/, found some edge cases that were causing unnecessary transfers but working on fixing that.
I really think we're heading toward this world where AI talks to AI for most routine things, and phone calls might be the first real example of this happening at scale!
you can check out the a voice demo on our website. https://pipervoice.com

value: Show HN: Companies use AI to take your calls. I built AI to make them for you

author: michaelphi


value: niklasdev

value:
Hello HN
After building numerous FastAPI backends, I consistently found myself repeating the same configuration, including auth, email, payments, migrations, etc.
In order to handle all the boilerplate, I developed FastLaunchAPI, a production-ready startup package.
Included are:

    JWT authentication with social login and email

    Webhooks and Stripe billing together

    Alembic, PostgreSQL, and SQLAlchemy

    Background work for celebrities

    SMTP email that includes templates

    Integration of LangChain and OpenAI

    Setup for Pytest + API documents

It is designed to bring you to production in less than half an hour and is modular.
There is a comprehensive documentation, which can be viewed before pruchase.
I would be happy to hear any comments or inquiries!

value: Show HN: FastLaunchAPI – A production-ready FastAPI template batteries included

author: niklasdev


value: cyw

value:
tl;dr: Like Vercel, but for stateful AI agents. Deploy your container and instantly get an agent with persistent memory, auto-recovery, and a live API endpoint—zero infrastructure work required.
Hey HN, I’m Cyw, the founder of Agentainer (https://agentainer.io/), a platform designed to deploy and manage long-running AI agents with zero DevOps. We just launched the first open source version of Agentainer: Agentainer Lab (https://github.com/oso95/Agentainer-lab) on GitHub.
Little bit of background: most infrastructure today is built for short-lived, stateless workloads—Lambda, Cloud Run, or even Kubernetes pods. But AI agents aren’t like that. They’re long-running processes with memory, history, and evolving state. Running them reliably in production usually means gluing together a bunch of services (volume mounts, retry queues, crash recovery, gateways, etc.) just to approximate what a simple web app gets out of the box.
To make my life easier when deploying agents for projects (both personal and work-related), I started designing an infrastructure layer that could treat agents as durable services from day one. No YAML. No juggling services. Just give it a Docker image or Dockerfile, and Agentainer handles the rest. Basically, a Vercel-like solution.
Each agent runs in its own isolated container, with persistent volume mounts, crash recovery, and queued request replay. If an agent crashes mid-task, it restarts and picks up where it left off. Agentainer gives every agent a clean proxy endpoint by default, so you don’t have to worry about port management or network config. Oh, if you’ve ever built long-running agents, you know how important checkpoints are—I got it taken care of already. (Check out: https://github.com/oso95/Agentainer-lab/blob/main/docs/RESIL...)
Everything is CLI-first and API-accessible. In fact, I originally built this so my own coding agent could manage infrastructure without burning tokens repeating shell commands lol. You can deploy, restart, or remove agents programmatically—and the same flow works in dev and prod.
I did some math, and for the right workloads like agentic backends with frequent requests or persistent state, this architecture could reduce cloud costs significantly, even by 30~40%, by replacing per-request billing and minimizing infra sprawl. We’re still early, but excited to see what others build on top of it.
Anyway, right now Agentainer Lab is focused on local dev and self-hosting. The bigger Agentainer.io roadmap includes observability, audit logs, backup/restore, and full auto-scaling to unlock the full experience. If you’re interested, you can sign up for early access on our website, we’ll only send you one email when the production version launches, and then your email will be deleted from our database.
GitHub: https://github.com/oso95/Agentainer-lab
Platform: https://agentainer.io
Would love to hear feedback from others working on LLM agents or trying to run stateful workloads in production. What’s your current setup? Do you think this can help you?

value: Show HN: I Built "Vercel for Stateful AI Agents" – open-source, cost-efficient

author: cyw


value: dckimGUY

value:
This program seeks to tackle the problem of there being no drafting solution for HTML. None, Nada, Zilch. Every other type of document has a drafting software that is available, and is open source... Not so with HTML, and I am asking, "Why not?".
I wrote this project initially just for my own reasons... I needed to build a better quality website, and I was sick of writing all of the HTML from a text-editor, constantly guessing about where things are going to end up, and what the final result will 'really look like'. It's a constant guessing game.
From using it to write HTML, I had already become familiar with that old text editor called VI. That program is really a great one, and that's why I have followed it by copying a lot of it's features, and keyboard action. So, my program ended up with HJKL being a standard. That's how parts are moved around, etc. in the program. The other thing that I have essentially 'ripped-off' was the idea of having all of the letter characters work as registers. Only with my program you must use 'f' to pull from the register.
It was challenging to draw up such an extensive program as this, and among the greatest and most difficult of the challenges that I have faced has been that the entire program works offline and inside of the browser.
When I say 'offline' I mean fully offline... No contact with the outside world. Electricity but, no internet. No external APIs. Just written from scratch on a minimum of what Javascript already has.
The real battle wasn't against the programming language or anything like that but, it was against myself. I constantly need to guess what the browser would do, because sometimes it seems to be your greatest enemy, shutting your programming out where you least expect it.
Chat GPT told me that I should write a more in depth post to replace the one that HN revoked somehow. I guess new people are trash around here.
This program, however, is not trash, but is a gem in the rough. There is no GUI menu system yet, and everything is controlled by the keyboard and mouse... mainly the keyboard.
Give it a shot, and see if anything feels familiar. The spacebar give a quick preview method for your finished HTML.
All of my BASH scripts for assembling the program are included, a pretty good package.
I just wonder who will notice this monster first, the online people, or the community down on Yonge Street in North York (Toronto) where I posted physical signs for advertisment of a free open source project?
Is that weird to do? I have already done all the work of writing up the program, why stop at that? I'm going to advertise this thing until the cows come home...
Joke's on you, it was free forever.
Open Source Lives On.

value: Show HN: My Open Source HTML Drafting Program

author: dckimGUY


value: Show HN: Approve merge requests with your eyes closed


value: booper

value: Show HN: Curated Library of Expert AI Prompts for Claude/GPT/Gemini/Grok

author: booper


value: stephanfebs

value:
I created a Dart port of the LibP2P stack. I wanted a native Dart implementation, and in the absence of a native QUIC library, I also created  my own UDP transport implementation called Dart-UDX.
You can find GossipSub, DHT and UDX implementations alongside this one in my github account.

value: Show HN: Dart implementation of the libp2p networking stack

author: stephanfebs


value:
I put together a directory of agentic coding tools & things like autonomous app builders, CLI agents, VSCode copilots, and multi-agent dev platforms.
Most of these tools can plan, scaffold, and write code with minimal input. Some are polished, some experimental. I wanted a way to compare them all in one place.
You can filter by autonomy level, LLMs used, pricing, open source, etc. It’s a compact UI—works on mobile, has dark mode, and no signups or fluff.
Would love feedback:
Are there tools I’ve missed?
Anything that should be organized differently?
Info you wish was included?
Cheers.

value: Show HN: Agentic Coding Tools – Directory for AI agents and vibe coders


value: kdautaj

value:
Hi HN,
I built *StoxGPT*, a TradingView-powered chart where you control everything by chat.
Example:
> *You*: add RSI
> *Chart*: (RSI indicator appears)
> *You*: change ticker to AMZN
> *Chart*: (switches symbols)
No menus, no hotkeys—just natural language mapped to the TradingView JS API.
---
### Why?
I got tired of drilling through panels to add indicators or tweak settings. A chatbot front-end felt faster, so I wired GPT-3.5-Turbo to TradingView’s `widget.activeChart()` calls.
---
### How it works
* *React + Next.js* front-end
* *Dummy OHLCV generator* (open-source) for this demo
* Simple command grammar → LLM → function-calling layer → TradingView injection
* Hosted on Vercel; cold start ~ 400 ms
---
### What I’m exploring next
* *Plaid auth* → live Robinhood balances & fundamentals
* Back-testing via OpenAI function calls
* Sharing indicator “recipes” between users
---
### Looking for feedback
* Would live data make this a daily driver?
* Any killer feature missing?
* Is the chat modality actually faster for you?
Thanks in advance—happy to answer anything!

value: Show HN: StoxGPT – type "add RSI" and the indicator appears on the chart

author: kdautaj


value: Built a Claude Intern to help with day-to-day work. Basically, you can point it to one or more Jira tickets(either by task key or JQL), and it will run an implementation feasibility assessment check and post notes whether it needs further clarification or can be actioned. If the ticket can be actioned, it will run Claude Code to try to implement the feature and create a PR. You can review the PR later, if one-shotting succeeded, good - you've completed work in a fraction of time, if not, the attempt may still be valuable as you can take over and finish the PR yourself, while spending less time on it.<p>You need to run it from your project repo folder(all dependencies should be installed, claude.md present in the repo - optional, but helps), so it can run tests, typechecks, etc while working on the task.

value: Show HN: Claude Intern – turn Jira tasks into working PRs


value: thebox

value:
Hi HN,
Over the past few months, I’ve been building 4KFilmDb, the first (and independent) 4K movie database to track and compare streaming quality (HDR, bitrates, Atmos audio) across platforms (Netflix, Prime Video, Disney+, etc).
Key features:
• HDR & Atmos analyzers
• Smart filters (Presets) with built-in options to suggest 4K titles or ready-made lists
• Fake HDR titles tracker (spot poor HDR grades easily)
Currently in beta, so feedback is very welcome.

value: Show HN: 4KFilmDb – A tool to track and analyze 4K movies (HDR, Dolby Atmos)

author: thebox


value: natewww

value:
Just sharing my simple one page image resizing and cropping tool, love webdev and single page apps, so it was a fun one to work on.
The code is not obfuscated so you can inspect it and see how it works - for uploaded image files, the work is done entirely by your browser!
Only the filename of the uploaded file and a log of buttons pressed goes to the server for analytics, so text only. The URL goes to the server to do the resize/crop if you submit an image by URL (URL is sent via proxy, has to work this way because of CORS.)
Made with love for the fun of it, no ads, no paid anything, it's totally free, any feedback would be awesome too.

value: Show HN: A Fast, Single Page Image Resizer and Cropper

author: natewww


value: SidDaigavane

value: Turn your AirPods into a real-time posture coach.

value: Show HN: Fix Your Damn Posture!

author: SidDaigavane

title: Show HN: Fix Your Damn Posture!


value: thomasfromcdnjs

value: Show HN: LLM-benchmark – Make LLMs fight for fastest ops/SEC on your code

author: thomasfromcdnjs


value: hallak

value:
Made this website as an exercise in vibe-coding and GCP. It was posted about a few times around the internet, on sites like Morning Brew (https://www.morningbrew.com/issues/business-buzzkill), MetaFilter (https://www.metafilter.com/209703/Draw-A-Fish), boingboing.net, etc. I think it's cute!
I built a basic CNN trained against penises and swastikas, and then anything that doesn't hit the 63% confidence score gets sent to a mod queue, a vibe-coded fish-tinder (https://bsky.app/profile/bigass.bsky.social/post/3luvikxn3f2...).
Was a fun exercise, spent about a month on it. Frontend is HTML5 hosted on github pages, backend is Node.JS on GCP.

value: Show HN: Draw a fish and watch it swim with the others

author: hallak


value: Catay

value:
Hi HN,
I'm Catay, the creator of elimination.pictures.
I've always been frustrated with how difficult it is to remove unwanted objects or people from photos without using complex software like Photoshop. I wanted a simple, web-based tool that could do this with just one click. Since I couldn't find one that was both easy to use and high-quality, I decided to build it myself.
elimination.pictures uses AI to let you brush over anything you don't want in an image, and it intelligently fills in the background. It's great for cleaning up travel photos, product shots, or just having fun.
New users get 5 free credits to try it out.
I'd love to hear your feedback and answer any questions!

value: Show HN: I made an AI tool to erase anything from a photo

author: Catay


value: pelex

value:
Built face recognition that runs entirely on STM32's new N6 chip - no cloud, no external processing. The chip istelf is smaller than a thumbnail and uses minimal power (on full operation ~0.25W), but the documentation is practically non-existent since it just launched.
Performance numbers:
Face detection: 9ms
Face recognition: 130ms per person
Multi-face tracking that actually works
Runs locally with zero data transmission (with an option to stream feed to PC, but it's entirely up to you)
The hardest part wasn't the AI - it was figuring out how to make anything work on hardware so new that most examples don't compile. With examples that don't cover the whole span of what developer need in the real world. Spent months reverse-engineering and debugging cryptic NPU errors, hacked and slashed my way untill things worked - ST might learn new things about their own hardware from how I abused some of it.
Includes full source code, build pipeline, model conversion scripts, and documentation written by someone who actually used it. No enterprise sales pitches - just working code for embedded AI. Have fun and :)

value: Show HN: Real-time face recognition on low power microcontroller

author: pelex


value: sreeragnandan

value:
Hey HN
I deployed one of projects: FocoDo.Work — a minimal, distraction-free focus timer and to-do list app.
I built this to help myself stay focused without the clutter of most productivity tools, and thought others might find it useful too. It’s privacy-first, super simple, and works right in the browser.
Features:
Add tasks and track time with a built-in timer
See the total time you spent working on each task
All data is stored locally on your device — no sign-up needed
Share your tasks with a quick link across devices or with friends/colleagues
Keep the timer visible in a floating picture-in-picture window
Full-screen mode for deep work
Would love to hear your feedback or suggestions. I’m planning to keep iterating on it!
Try it out here: https://focodo.work

value: Show HN: Launched Productivity App: distraction-free to-do list and focus timer

author: sreeragnandan


value: merodia

value: I had to submit WhatsApp chat exports as evidence for a legal dispute and I was surprised at how bad the export format is for actual context, so I created a tool to help convert WhatsApp chat exports to a more structured PDF format for consumption for attorney's and courts.

value: Show HN: I needed to submit WhatsApp chat exports for evidence

author: merodia


value: scpowers

value:
Hey all! Long time lurker, first time poster.
I found this rocket landing trajectory optimization paper cool, but it took me a while to wrap my head around it and implement it. I wrote up an expanded version of the paper including details that would have helped me understand it the first time through, with the idea being that it might make the content more approachable for others with similar interests. The source code is also linked in the document.
I'm open to feedback, I'm always trying to get better across the board.

value: Show HN: Walk-through of rocket landing optimization paper [pdf]

author: scpowers


value: marypilar

value: Show HN: Tech team. 0 sales background. Booking 7 meetings per week per member.

author: marypilar


value: ishqdehlvi

value:
Hi HN,
A quick update on our WTMF (What's The Matter, Friend?) beta launch from 2 days ago. We've been incredibly encouraged by the response, with 115 early users signing up to experience an AI companion focused on genuine emotional understanding.
We've been listening closely to the initial feedback and are excited to continue building an AI that truly feels like a supportive friend, offering a space to feel heard without judgment.
If you're curious about an AI that goes beyond productivity and aims for real emotional presence, you can learn more and join the waitlist here: https://wtmf.ai
Thanks for the support and insightful discussions, HN! We appreciate you being part of this early stage.

value: Show HN: WTMF Beta Update – 115 Early Users in 48 Hours

author: ishqdehlvi


value:
Hi HN,
I'm a solo dev and student, and I recently built API Radar — a real-time tool that monitors public GitHub commits for leaked API keys (OpenAI, Google Gemini, Anthropic Claude, and more).
What it does:
Scans public GitHub commits in real time
Detects API keys using pattern matching and validation heuristics
Redacts most of the key, but allows copying for verified leaks (for security teams)
Leaderboards by leaky repositories and exposed providers
Built to promote developer hygiene and security awareness
Stack:
Backend: Node.js (Fastify), MongoDB, Redis, custom TruffleHog-like scanner
Frontend: Next.js 14, TailwindCSS, shadcn/ui
Infra: VPS, NGINX + SSL, background worker farm, rate-limit handling
Current stats (soft launch):
210 active users
208 new users
2.6K total events
53s average engagement time
Built fully solo — from design to deployment, analytics to queue resilience. My goal was to ship something fast, security-aware, and production-grade.
Would love feedback on:
Improving UX for security teams
Ethics around redaction and disclosure
Ideas to scale this into an OSS tool or API service
Thanks for reading!
https://apiradar.live
— Zaim

value: Show HN: API Radar – Real-time GitHub scanner for exposed API keys


value: cle-b

value:
Hi,
The aim of this Python library is to let you define (or override) DNS resolution directly in your code. No need to modify the hosts file or use an external DNS resolver.
I created this library as a toy project a few years ago, mainly to learn how to use GitHub Actions (not really for what the library itself does).
I never really shared it before because I don't use it myself, but since a few people have used it, I thought: why not share it with more people if it might be useful to someone, probably for testing purposes?
I'd be happy if it can be helpful to any of you.
cle.

value: Show HN: Hookdns (for Python devs)- Because /etc./hosts is not always an option

author: cle-b


value:
Hi HN,
I made a small physics-based platformer called Plonky – you can play it directly at https://plonky.cc.
It’s a browser-based HTML5 ragdoll game where you control a wobbly character navigating traps, levers, carts, crushers, spinning blades, and spikes.
The goal was to make something fun, fast, and distraction-free:
No login, no installation – just click and play
Works on desktop and mobile (Chrome, Firefox, Safari, Edge, etc.)
Simple keyboard or touch controls
50+ handcrafted levels, each with unique mechanics
No ads, minimal UI, loads in under 3 seconds even on mobile
I’d love feedback on:
Gameplay feel and difficulty progression
Any level ideas or trap mechanics you'd like to see
Whether the overall design fits casual play, demos, or educational use
Thanks for playing and testing it out!

value: Show HN: Plonky – A physics-based browser game, no login or download needed


value: harperhuang

value:
Hi HN!
I'd like to share a tool I built to solve a daily frustration of mine: *Smart Reply* – an AI-powered email assistant that handles multilingual communication seamlessly.
The Problem
As someone who frequently communicates with international vendors and users via email, I found myself stuck in an inefficient workflow:
1. Copy incoming email content
2. Paste into translator to understand the message in my native language
3. Draft a reply in my native language
4. Translate the reply back to the sender's language
5. Send the email
This process was time-consuming and became particularly painful when dealing with multiple emails daily. I figured others might share this pain point.
The Solution
Smart Reply streamlines this entire workflow into just a few clicks:
1. *Paste email content* – Simply paste the original email
2. *One-click translation* – Instantly understand the content in your native language
3. *Choose reply style* – Select from various communication styles (professional, friendly, diplomatic, etc.)
4. *Add custom requirements* – Optionally specify additional context or requirements
5. *Generate bilingual response* – Get a polished reply in both languages side-by-side
6. *Copy and send* – Review and send directly
Key Features
1. *Instant translation* to help you understand incoming emails
2. *Multiple reply styles* – from formal business to casual friendly
3. *Bilingual output* – see both your native language and the target language
4. *Custom context* – add specific requirements or background info
5. *20+ languages supported*
Early Feedback
I initially shared this with friends who deal with international communication, and the feedback has been encouraging. They found it significantly more efficient than the traditional copy-paste-translate workflow.
The tool is live and free to use. If you also struggle with multilingual email communication, I'd love for you to try Smart Reply and share your thoughts.
Link: https://smartreply.cc/
Would appreciate any feedback from the HN community – both on the concept and execution!

value: Show HN: Smart Reply – Break Language Barriers, Make Email Communication Simple

author: harperhuang


value: weixei

value:
Hi HN,
I created [CityVois](https://www.cityvois.com) as an AI-powered travel assistant for solo travelers and cultural explorers.
It detects your current location and nearby landmarks, and shares cultural and historical stories in both voice and text. It also allows users to recognize landmarks via photos – we currently support over 18,000 globally.
For now, we've curated citywalk routes in cities across China and Japan, designed to help users explore hidden stories around them without relying on traditional guidebooks.
Technically, the app is built with Flutter, uses Firebase for backend services, and combines GPS with image recognition  for real-time landmark detection.
Would love any feedback, thoughts, or suggestions – especially around UX for solo travelers and improving performance.
Thanks!

value: Show HN: CityVois – AI travel guide that tells stories and spots landmarks

author: weixei


value: gxjoe

value:
The Elasticsearch Handbook (https://news.ycombinator.com/item?id=26583478) and the Google Maps Handbook (https://news.ycombinator.com/item?id=36290109) are now part of Spatialized.io.
I migrated them from Next.js Notion Paywall (https://news.ycombinator.com/item?id=30886958) to an Astro-powered stack.
What do you guys think?

value: Show HN: Migration of Elasticsearch and Google Maps Handbooks

author: gxjoe


value: debba

value: Show HN: Rewindtty – Record and replay terminal sessions as structured JSON

author: debba