value: Einswilli

value:
Hey HN,
I just want to share Forklet, a tool we built out of frustration with GitHub's all-or-nothing approach to repository access.
The Problem:
Our security team needed to scan specific files in pull requests (using our scanner Valkyrie), but we kept hitting two walls:
1. Cloning entire multi-GB repos just to check a few config files
2. GitHub API's rate limits making targeted downloads painful
The Solution:
Forklet gives you surgical precision for GitHub downloads:
# Download only Python files, excluding tests
forklet download owner/repo ./target --include "*/.py" --exclude "test_"
# Or just grab a specific folder
forklet download owner/repo ./configs --target-paths "src/config"
Looking forward to your feedback and ideas!

value: Show HN: Why clone GBs when you need KBs? Surgical GitHub downloads

author: Einswilli


value: squeakycheese

value:
Hi HN,
A few weeks ago I shared Kvatch.com a federated SQL engine I’ve been hacking on that lets you query across multiple data sources with plain SQL.
Since then, I’ve added support for querying live APIs alongside files and databases. That means you can now join data from:
REST APIs
CSV files
Google Sheets
Postgres / SQLite
Git repositories
All as if they were one datasource.
Example use cases:
Join your GitHub issues with commits from a repo
Combine a Google Sheet of leads with enrichment data from a REST API
Build quick dashboards that mix API + database + CSV data
Kvatch is open-source, written in Go, and still early — but I’d love feedback on what data sources / features would make it most useful.
Docs & example -> https://github.com/kvatch-hub/kvatch-cli/tree/main/examples
GitHub -> https://github.com/kvatch-hub/kvatch-cli
Website -> http://kvatch.com
Blog -> http://kvatch.com/blog
Thanks for checking it out!

value: Show HN: Kvatch – query APIs, CSVs, Google Sheets, and databases as one source

author: squeakycheese


value: surchee

value:
This started from a chat with my brother-in-law. He was starting a new business and planning to spend a lot of time on SEO. As i’d just started using ChatGPT more often myself, I asked him whether he was optimising for LLM answers, not just Google? Whilst Semrush and Ahrefs were leaning into this space, there was no dedicated tool looking at this.
Anyway, after a few months of building I have now created Surchee:
- Crawl your site and see how AI engines (ChatGPT, Perplexity, Claude, Bing Copilot, etc.) summarise it
- Check if your brand, value proposition, or trust signals are coming through clearly
- Track whether AI bots are even visiting your site (via a small pixel)
- Use dashboards that look a bit like SEO tools, but aimed at LLM/AI visibility instead
It’s quite fresh but the idea is simple: type in a URL, get a score and some insights.
If anyone has any general feedback or more specific feedback per the items below, it would be appreciated:
- What metrics would make this more useful
- Whether “AI visibility” feels like a problem worth solving
- Any rough edges or confusing parts in the current version
Link: https://www.surchee.com
Happy to answer any questions too.

value: Show HN: Surchee – check how AI search engines view and search your site

author: surchee


value: unsexyproblem

value:
I’m a student founder, and Snapdeck has been a 6-month sprint from idea to product. In March I hacked together a minimal version and launched it on Product Hunt just to see if anyone else had the same frustration with slides — and people did. A couple of months later I tried a Figma plugin version, which brought in more feedback but still felt limited.
Yesterday we launched the first full standalone version on Product Hunt and reached #2 of the day. About 1,000 people have signed up so far, with ~30% retention among the main target users.
Under the hood, Snapdeck runs on an orchestration layer we built that routes tasks across multiple open-source language models and commercial APIs, acting as an “agent” to generate structured slides and editable charts. Unlike most AI slide tools, everything stays fully editable — layouts, visuals, and content can be dragged, modified, or updated via natural-language commands. Current output is PDF, with PPTX coming soon. Demo screenshots: https://youtu.be/fmlQ6cccj1w
.
We’re considering open-sourcing parts of the orchestration layer, and I’d love feedback from HN: is this genuinely useful for real workflows, and what’s still missing?
https://snapdeck.site

value: Show HN: Snapdeck – Build slides with open-source LLMs and agent routing

author: unsexyproblem


value: craetical

value:
Hi HN,
I built https://imagemotion-ai.com a tool that generates short videos from an image using AI.
The motivation came from experimenting with generative video models. I wanted something lightweight where you can just upload a photo and get back smooth motion (camera moves, storytelling, etc.) without dealing with model details or GPUs locally.
Current features:
• Supports photos, artwork, and high quality renders.
• Outputs short clips (up to ~10s at 4K)
• Runs completly in the cloud, no setup required
• Storage
Thanks for checking it out — your thoughts would be really valuable!

value: Show HN: I built a tool to bring your photos to life – Imagemotion AI

author: craetical


value:
Mirrow is a small TypeScript DSL that compiles to SVG. It aims to make SVG and animation simpler without JSX or hand rolled CSS.
Highlights:
- Compile time checks and attribute validation
- Inline events like on:click and @hover
- CLI to turn .mirrow files into static SVGs or use as components
Quick try: npx mirrow -i example.mirrow -o example.svg
Playground: [https://mirrow.app/playground](https://mirrow.app/playground)
GitHub: [https://github.com/MirrowApp/mirrow](https://github.com/MirrowApp/mirrow)
Feedback on DX, docs, and rough edges is very welcome. Thank you

value: Show HN: Mirrow – TypeScript DSL for animated SVGs with compile-time checks


value: raomin

value: Show HN: A-pic-a-day – Keep your friends/family connected

author: raomin


value: ldobreira

value:
Hi HN,
I’ve been working on DungeonLoot a passion project that’s not the usual SaaS or AI tool. The goal is simple: bring more loot to gamers, and help game developers get discovered in the process.
Not the trendiest idea, but sometimes we just do what we like.
Link: https://www.dungeonloot.com/
Let me know what you think.

value: Show HN: I built a gaming giveaways platform to help gamers get loot

author: ldobreira


value: vinkaga

value:
Hi HN - I am Vinay, the creator of shai.sh.
Problem: I kept breaking flow to look up exact syntax for commands (tar, find, ffmpeg).
What it is: a shell-native plugin + app. You type intent in plain English; it returns one ready-to-run command on your prompt. Works with your existing setup and aliases - no new UI, no copy-paste, no terminal replacement.
Why it's different: it stays inside your shell and optimizes for a single correct command, not chat.
How it works (quick): 1) Type intent 2) Cmd+Enter 3) Cmd+Up Arrow to get in command line 4) Review/edit 5) Run.
Demos (26s, 13s, 2+ min): https://shai.sh/#resources
Examples: find files >10MB modified in last 7 days; ffmpeg batch convert mp4 -> 720p h264; tar.gz current dir excluding node_modules and .git; free port 3000; scp a folder preserving permissions.
Privacy: your prompt + shell context go only to your configured LLM provider - shai server doesn't see it. Nothing auto-runs - you choose when to execute.
Status: macOS available today; Windows/Linux builds in progress.
Pricing: free tier; Pro/Team add higher limits and team features.
Docs / quickstart: https://shai.sh/docs
I'll be here all day - feedback welcome, especially on failure cases, privacy defaults, and what would make you try it for a week.

value: Show HN: Shai.sh – shell-native AI that turns English into commands

author: vinkaga


value: TheDuuu

value:
To earn $10 in free credits, use the code WELCOME10, NO CREDIT CARD REQUIRED.
We’ve just launched the open beta for PureRouter, a multi-model AI router that gives you full control over how LLM queries are routed. You can define routing strategies that prioritize speed, cost, or quality, and even fine-tune them with detailed configuration options.
PureRouter isn’t just about picking models; it’s about precision orchestration:
Route queries across multiple providers (OpenAI, Cohere, Gemini, Groq, DeepSeek, and more).
Adjust advanced parameters like context length, batch size, precision, memory usage, and generation controls (temperature, top-p, top-k).
Deploy workloads on cloud, edge, or on-prem hardware with flexible scaling (from single GPUs to multi-GPU instances).
Manage everything from a clean, intuitive UI designed to make complex orchestration straightforward.
Billing is simple and transparent with our credit-based system (no subscriptions, no hidden usage fees).
If you’d like to test it, the beta is live now. New users can redeem $10 in credits with WELCOME10 to explore routing strategies, compare models, and deploy real workflows.
We’re iterating fast, and feedback from the community is especially valuable at this stage.

value: Show HN: PureRouter – Multi-model AI routing across LLMs (beta and $10 credits)

author: TheDuuu


value: veler

value:
Hey everyone! I'm excited to unveil WindowSill, a universal command bar for Windows 10 and 11 that brings AI-powered text assistance and a suite of productivity tools directly to wherever you're working.
Why WindowSill?
Inspired by the MacBook Touch Bar, StreamDeck, and Apple Intelligence, I wanted a tool that gives context-aware actions without interrupting my workflow. WindowSill is my take on that idea for Windows.
What it can do
AI text assistant
Select any text in any app to summarize, rewrite, translate, or fix grammar instantly. No copy/paste needed. No switching apps needed.
Short-Term Reminders
Set reminders that can pop up as full-screen notifications, so you can't miss them. Perfect for ADHD brains, multitaskers, or anyone who needs a firm nudge to stay on track of things.
Clipboard history
Access your recent copies without switching apps.
URL & text utilities
Select any URL in any app to shorten it or generate a QR Code.
Media & Meetings controls
Manage playback, mute/unmute from Microsoft Teams, even when the app is in the background or minimized.
Personalization
Save custom prompts, dock the "sill" to the top, bottom, left, right, or change its size to reflect your style and needs.
All from a single, universal command bar that stays out of your way — no friction, no app switching.
Bonus: the app is extensible! It comes with an SDK allowing any app to integrate with WindowSill.
Who is it for?
Mainly Windows power users, but also anyone looking to boost their productivity with AI-powered text assistance and quick access to useful tools.
Try it today for free! Visit https://getwindowsill.app
Product Hunt launch: https://www.producthunt.com/products/windowsill-2
I'd love your feedback: what features would make WindowSill most useful for you? Or what would you like to see next?

value: Show HN: WindowSill

author: veler

title: Show HN: WindowSill


value: Personal learning project. Just looking for feedback on getting better at C and CUDA in general.

value: Show HN: I wrote inference for Qwen3 0.6B in C/CUDA


value: omeraplak

value: Show HN: Open-Source TypeScript Framework for AI Agents – VoltAgent

author: omeraplak


value: dlvhdr

value:
I'm working on a new TUI for viewing GitHub actions called ENHANCE.
→ Demo - https://www.gh-dash.dev/enhance.gif ←
The plan is to offer it as a one time payment plugin for https://gh-dash.dev (my TUI for GitHub) to try and make development sustainable. My goal is to invest more time into TUI apps but I'm not exactly sure how <3 this is an attempt..
The stack is of course the amazing https://charm.land libs.
If you're interested in following the development you can:
* Join my Discord server at https://discord.gg/SXNXp9NctV
* Follow me on Bluesky at https://bsky.app/profile/dlvhdr.me
I'm curious to hear your thoughts, is this something you'd be interested in?

value: Show HN: Enhance – a work in progress TUI for GitHub Actions

author: dlvhdr


value: ekzhang

value:
This is a project I made over the weekend. What if when you SSH'd into a machine, instead of giving you a user login, it would provision a new microVM just for you?
It's like a little SimCity for VMs.
This turned out to be a lot of fun, and I've wanted to make my own custom SSH server for a while now, with its fancy progress bars and color animations. The hardest part was definitely debugging VM setup, boot, and networking though! Compiling the Linux kernel with all the right configs was difficult. For a while I had issues with silent hangs on boot due to lack of available system entropy, on Linux <4.19. Anyway, I wrote a bit about my struggles. :D
I managed to bundle everything (vmlinux 6.1, firecracker, SSH server, iptables/bridge/masquerade) into a single, statically-linked binary for x86_64/aarch64. It takes the kernel rootfs as a command-line argument.

value: Show HN: SSH-hypervisor – like SSH, but each user gets their own microVM

author: ekzhang


value: zham-dev

value:
RaceThere.com was designed to be simple. You set the location and filters of race events you're looking for, and it generates a full list of upcoming events in that area. It's as easy as that to find your next race.
Sure there are other websites out there like RaceThere.com, but who wants to scroll through a website that hasn't been touched since 2010.
Do you value websites that look nice more?

value: Show HN: Zillow, but for Race Events

author: zham-dev

title: Show HN: Zillow, but for Race Events


value: I made this as a little tribute to my childhood dog. It’s an interactive, AI-generated looping video where he wanders off on adventures but always finds his way back home.<p>Built using Nano Banana for keyframes and Kling for view interpolation. Best experienced on desktop with sound.

value: Show HN: I built an interactive AI video as a tribute to my childhood dog


value: aanthonymax

value:
Hello everyone! I created a small template language that will help you reduce the size of your web-application bundle
The syntax is somewhat reminiscent of handlebars, but this is also a plus, since this is the standard today
I would appreciate your feedback ^ ^

value: Show HN: I created a small template language

author: aanthonymax


value: rytisg

value: Show HN: Mnemeo – Flashcard app with typing and rating modes

author: rytisg


value: timbowhite

value:
Domain Watch emails you when a domain name is listed for sale on an aftermarket or its price drops.
It's like camelcamelcamel.com for domain names.
Currently supports the following "Buy It Now" aftermarkets: Afternic, Sedo, Spaceship SellerHub, Atom, Namecheap Market, Porkbun Marketplace, Gname.
You can watch up to 3 domains for 60 days with the free plan.
Support for auctions is coming soon.
Why I made this:
1. To know where and when I could buy the domains that I wanted to buy, ASAP.
2. Empower other domain name buyers with marketplace awareness, data, and an improved shopping experience.
3. To make money one day.
Feedback welcome and appreciated!

value: Show HN: Monitor Aftermarket Domain Listings

author: timbowhite


value: johnwarne

value:
Upvote RSS is a self-hosted project I've been working on that generates rich RSS feeds from social aggregation websites like Hacker News, Reddit, Lemmy, and more.
I prefer to do as much reading and browsing of these communities as I can in my RSS reader; with that in mind, Upvote RSS filters to only the top posts (with filters you specify) and generates rich feeds with article content, post media (videos, images, galleries), AI summaries, and post comments.
Where this differs from something like hnrss.org:
- You can choose between filtering posts by score, an average score threshold, or a specified number of posts per day (the filter I find most useful).
- The RSS feed contains the text the post author provided, optional linked article content, AI summaries from your provider of choice, and a specified number of top comments from the community post. Everything in your RSS reader.
- Self-host your own instance, or use the public one.
- Supports subreddits, Hacker News, Lemmy communities, Mbin, PieFed, Lobsters, and trending new GitHub repositories.
- Estimated reading time, score, and permalinks to the original post.
- NSFW filtering/blurring (Reddit only) and custom Reddit domain.
Here's the GitHub link if you'd like to give it a spin:
https://github.com/johnwarne/upvote-rss

value: Show HN: Upvote RSS – Generate rich RSS feeds from aggregation websites like HN

author: johnwarne


value: margotli

value:
Hey HN! A few months ago we shared our AI dataset generator as an open source repo, and the response was incredible (https://news.ycombinator.com/item?id=44388093). We got requests from folks who wanted to use it without the hosting overhead, so we created both options: a hosted version (https://www.metabase.com/ai-data-generator for instant use and the source code fully open (https://github.com/metabase/dataset-generator) for anyone who wants to self-host or contribute.
Looking forward to seeing how you use it and what you build on top of it!
Bonus: The repo now supports multi-provider LLM integration with LiteLLM, thanks to a great contribution from their team.

value: Show HN: Open-source AI data generator (now hosted)

author: margotli


value: catatsuy

value:
I built a tool called *Kekkai* for file integrity monitoring in production environments.
It records file hashes during deployment and later verifies them to detect unauthorized modifications (e.g. from OS command injection or tampering).
Why it matters:
* Many web apps (PHP, Ruby, Python, etc.) on AWS EC2 need a lightweight way to confirm their code hasn’t been changed.
* Traditional approaches that rely on metadata often create false positives.
* Kekkai checks only file content, so it reliably detects real changes.
* I’ve deployed it to an EC2 PHP application in production, and it’s working smoothly so far.
Key points:
* *Content-only hashing* (ignores timestamps/metadata)
* *Symlink protection* (detects swaps/changes)
* *Secure S3 storage* (deploy servers write-only, app servers read-only)
* *Single Go binary* with minimal dependencies
Would love feedback from others running apps on EC2 or managing file integrity in production.

value: Show HN: Kekkai – a simple, fast file integrity monitoring tool in Go

author: catatsuy


value: TheRealBadDev

value:
I've been frustrated with dependency hell and clutter on my VPS from dev, so I built Devbox: a lightweight, open-source CLI tool that spins up isolated development environments using Docker. Each project runs in its own container, but your code stays in simple flat folders on the host machine—no messing with volumes or sync issues. Environments are disposable, so you can nuke and recreate them without losing your work.
Key features:
- Instant setup: `devbox init my-project` and you're in a fresh env with `devbox shell`.
- Configurable via JSON: Define packages, services, and more in a `devbox.json` file. Share it in your repo for reproducible setups—teammates just run `devbox up`.
- Docker-in-Docker by default: Build and run containers inside your env without extra config.
- Host-friendly: Edit code directly on your machine; the container handles the runtime.
- Templates for quick starts: Built-ins for Python, Node.js, Go, web dev, etc.
- Advanced options: Port mapping, env vars, resource limits, and even mounting your dotfiles.
It's FOSS (MIT license), Linux-focused (Debian/Ubuntu, or WSL2 on Windows), and super easy to install: `curl -fsSL <a href="https://devbox.ar0.eu/install.sh" rel="nofollow">https://devbox.ar0.eu/install.sh</a> | bash`.
Check out the launch page and docs at https://devbox.ar0.eu, or the repo at https://github.com/itzCozi/devbox. I'd love some feedback, stars, or contributions to help grow this into a solid community tool!

value: Show HN: Devbox – Containers for clean dev environments

author: TheRealBadDev


value: sarafina-smith

value:
Hi HN,
I’m Sarafina, an engineer at Gamma, and I’m here to share something we’ve been building the Gamma API, now in public beta.
We originally built Gamma as a way to turn rough content into shareable decks and documents, a kind of design layer for non-designers. Over time, we got more automation requests to enable quickly creating new sales pitches, lesson plans, or meeting summaries.
The Generate API takes in raw input like text, meeting notes, or CRM data and returns polished content. You can generate:
Slide decks
Docs
Social carousels (LinkedIn-style)
All fully designed, brandable, and exportable to PDF or PPTX.
How it works:
You pass a POST request with the input and config (tone, format, theme, etc.)
The API responds with a Gamma link (hosted doc), or export file
Works with 60+ languages, customizable themes, and AI image support
We’d love feedback, especially from developers thinking about “visualization layer” workflows inside internal tools or automation stacks. AMA!
-Sarafina (Gamma Engineering)

value: Show HN: Gamma API- Auto-generate decks, docs and carousels from raw input

author: sarafina-smith


value: NathanFlurry

value:
Hey HN – we’re sharing a tiny extension to BARE called VBARE that we’ve been using extensively to make schema evolution much cleaner & simpler.
After our Protobuf schemas became a cluttered after numerous major changes, we evaluated many alternatives for better schema evolution - Cap'n Proto, FlatBuffers, Borsh, etc. - but none seemed that they’d make a noticable improvement.
VBARE takes a different approach: it's a tiny extension to BARE that adds version headers and explicit migration functions between schema versions. This allows you to handle complex changes (like splitting a "name" field into "firstName"/"lastName") that are impossible with other tools, and your application logic stays clean.
It's been powering all of Rivet's protocols in production, with TypeScript and Rust implementations available.

value: Show HN: Vbare – a simple alternative to Protobuf for schema evolution

author: NathanFlurry


value:
Hi HN!
We love the "backend-less" stack: Stripe for payments, Supabase for data, Clerk for auth. But the moment we add AI features, we're forced to spin up a backend to hide API keys, implement per-user token-based rate limits and graceful degradation, etc. So we built Airbolt.
What it does:
Drop in our SDK and start making OpenAI calls directly from your frontend. Your keys are AES-256-GCM encrypted on our servers, never exposed to the client. We provide token-based per-user rate limits and origin allow lists to address inference abuse. Short-lived JWTs and bring-your-own-auth are coming soon (like this week).
Why this matters:
Current tools solve fragments. Teams still build custom backends. The cost compounds: more code, more bugs, slower shipping, and worse AI-coding tool performance as context grows.
We provide a TypeScript API, React Hooks, and React Component.
Coming soon:
- Multi-provider support (OpenRouter, Anthropic, Gemini, and more)
- No-redeploy upgrades: we want our self service dash to be your "control plane" so you cane change providers, models, context and more without changing your project source and redeploying
- Native mobile SDKs
- Bring-your-own-auth integration (Auth0, Clerk, Auth.js, etc)
- RAG/vector search
Built this after implementing the same proxy pattern for the 10th time. When we consider ease of use and speed vs flexibility tradeoffs, we're intentionally choosing extreme ease and speed (when it seems everyone else is building more ways to define complex agents).
Try it out: https://www.airbolt.ai/
mark@airbolt.ai

value: Show HN: Airbolt – Call LLM APIs from your app with zero back end


value: wdamao

value: I made an online version of my son's puzzle game. Welcome everyone to try it.

value: Show HN: A novel jigsaw puzzle game

author: wdamao

title: Show HN: A novel jigsaw puzzle game


value: Show HN: A special place for your ideas! Captured and sparked from the terminal


value: ArslantasM

value:
I built a small extension for VS Code and Cursor: Workflow Snapshot & Replay
.
It records your coding session step by step and generates a Markdown “Workflow Report” at the end. Key features:
Tracks code edits, terminal commands, and file operations
Produces a shareable .md session log
Lets you replay the same steps in another project
Potential use cases include:
Teaching & tutorials (students can follow each step)
Debugging (trace what was done during an investigation)
Auditing & code reviews (see who changed what, and when)
Marketplace link: Workflow Snapshot & Replay
.
I’d love feedback on whether this could be useful in your workflow, and what other scenarios or features you’d find valuable.

value: Show HN: Workflow Snapshot and Replay – Capture and replay your VS Code sessions

author: ArslantasM


value:
I built a VS Code / Cursor extension that records coding sessions (code edits, commands, file ops), exports them as Markdown, and can replay the steps in another project.
Link: https://marketplace.visualstudio.com/items?itemName=Arslanta...

value: Show HN: Workflow Snapshot and Replay – Capture and Replay VS Code Sessions


value: thelifeofrishi

value: Show HN: Chrome Extension for Twitter Screenshots

author: thelifeofrishi


value: JakeVacovec

value:
We built FlyCode after seeing subscription businesses lose ~35% of recurring revenue each year to failed payments — even when customers had other valid cards on file.
*The problem:* When a customer's primary card fails, Stripe retries a few times then cancels the subscription. If that customer has a backup card, it isn’t tried. At least 20% of active customers  have more than one card on file, which means a lot of preventable churn.
*Our solution:* FlyCode automatically identifies if a customer has other valid cards on file and retries them when a subscription payment fails. You can configure when these retries happen during the dunning period (beginning, middle, end) and define validity rules (e.g. “card was used in last 180 days”). It’s a Stripe app — no code changes needed.
We've seen 18%-20% higher recovery rates from our core retry engine, plus another 5–10% from using backup cards. Importantly, there was no increase in refunds or chargebacks — in fact, rates were lower than merchant averages. Big companies like Microsoft and Amazon already do this internally; we wanted to make the same capability accessible to smaller SaaS teams.
*Under the hood:* FlyCode monitors for failed invoices, checks for available backup methods via Stripe’s PaymentMethod API, and systematically retries in a way that avoids service disruption or manual workflows.
We’re Jake, Etai, and Tzachi — we previously built payment recovery systems at startups and enterprises, which is how we discovered this gap.
You can try it here: [https://www.flycode.com/stripe]
We’d love feedback from anyone dealing with subscription payment failures. What’s been your experience with involuntary churn? Have you considered leveraging backup payment methods?

value: Show HN: FlyCode – Recover Stripe payments by automatically using backup cards

author: JakeVacovec


value:
This is a  minimal distraction free journalling app. Features include
- only one entry per day
- sync across cloud
- pwa
- no likes, no comments, no validations and hence no distraction
Got this idea to develop a habit of writing everyday. Welcome to all feedback and suggestions.
P.S: This is a very basic mvp built using cursor, next.js and supabase

value: Show HN: Minimal app for daily thoughts and journalling


value: khaledg

value: Show HN: I made a lightweight Dokku Alternative

author: khaledg


value: srcreigh

value:
Hi all,
Want to show my tool pxehost. It's a single command you can run to boot up other computers on your local network into the netboot.xyz menu to download Linux installers, Live CDs, etc.
pxehost does everything automatically, there's no config options. It's cross platform and doesn't need root. You just run it and then netboot your other computer.
Background:
A few weeks ago I searched for an easy to use tool which can let me boot Linux over PXE on the local network from my M3 MacBook Pro. A few hours later, I had found out about netboot.xyz, but suffered with limitations of Docker host networking and virtualization on macOS.
Then I asked ChatGPT: "can you just write a single file Go program for PXE boot which does DHCP and TFTP and just works." And it was able to one-shot that. Cool.
I decided to take some time to clean up the code, add tests, polish it and release it.
Along the way I found out something cool!
Quiz: Of macOS, Windows, and Linux, which OS needs root/admin to bind to ports < 1024?
Answer: None of them! Windows never did. macOS (since Mojave) lets you bind 0.0.0.0 to sub-1024 ports without root. And Linux has CAP_NET_BIND_SERVICE.
Anyway, hope you like it. Please let me know if you use it and if you have any issues

value: Show HN: Pxehost – no-configuration rootless PXE server

author: srcreigh


value: andrewrn

value: Hi HN. I built this computer vision pipeline recently to detect when I am wasting my life away on my phone. I've been wanting to dip my toes into computer vision and this ended up being a really fun project that works surprisingly well.<p>Uses YOLOv11 for pose estimation and object detection as well as OpenCV.

value: Show HN: Detecting Doomscrolling with Computer Vision

author: andrewrn


value: asifnawaz

value: Show HN: MiniTools – Privacy-focused online utilities (QR, passwords, colors)

author: asifnawaz


value: vaultaiproject

value:
I built Vault-AI to solve a problem I kept running into when building AI apps:
API keys and secrets end up scattered in .env files, hardcoded, or shared insecurely.
Vault-AI is a lightweight, self-hosted secrets manager — kind of like HashiCorp Vault,
but simplified and aimed at AI workloads. It runs in Docker, comes with a simple CLI,
and manages tenants, token-based auth, secret rotation, rollback, version history, and audit logs.
Quickstart:
git clone → ./start.sh → vault-ai store/get
Repo: https://gitlab.com/vaultaiproject/vault-ai.git
Would love feedback from the HN community — what features are missing, and
what would make this useful in your own AI/ML pipelines?

value: Show HN: Vault-AI – an open-source digital safe for AI secrets (v0.3.2)

author: vaultaiproject


value:
Zapshot is a cross-platform tool that lets anyone design pixel-perfect, realistic fake X/Twitter posts—including editable username, profile pic, content, engagement numbers, and more.
Zapshot is more than a mock post maker: you can also capture and customize screenshots of real posts and profiles from X, Product Hunt, Reddit, YouTube, Threads, and Peerlist — with styling, themes, and branding options built in.
Try it out here: http://zapshot.in/

value: Show HN: Generate Realistic Fake Twitter/LinkedIn Posts-No Design Skills Needed


value: tullie

value:
Hi HN,
I've been a daily user here for almost 15 years. Over that time, my interests have shifted. I find I'm now more interested in deep-dive technical posts and personal blogs than the big tech announcements that often dominate the front page. The "top" feed was starting to feel stale, and I was spending more time digging through "new".
So, I decided to build what I wanted: a personalized "For You" feed.
Link: https://hn.shaped.ai
It's a simple concept: you log in with your normal HN credentials, and as you favorite stories, it learns what you're interested in and re-ranks the feed to show you more of that content.
How it was built (a 2-day hackathon):
The Client: I used an AI coding assistant (lovable.dev) to generate the initial React/Next.js client. It was surprisingly effective at getting a functional baseline up and running quickly.
The Backend: Since HN's official API is read-only, I set up a lightweight Supabase backend. It uses edge functions to proxy login/voting requests to HN's unofficial API and a Postgres DB to cache posts and user events (favorites, etc.).
The Personalization: The ranking is powered by my own company's platform, Shaped. It ingests the posts and your favorite events in real-time.
The core of the ranking logic is a configurable formula. It's essentially the classic HN algorithm with a personalization term multiplied in:
(item.score / score_penalty + content_similarity) / (time_decay)
The content_similarity is calculated by comparing a post's text embedding to an embedding of your recent favorites. The best part is that you can actually play with the score_penalty in the UI to make the personalization stronger or weaker.
This is very much a v1. I'd love to get your feedback. Does the personalization feel right? Any bugs? What's missing that would make you use it daily?
Next on my list are things like collaborative filtering (once there's enough data!), semantic search, and a "similar stories" feature. Here's also a more detailed write-up about how it was built: https://www.shaped.ai/blog/building-a-hackernews-for-you-fee...
Thanks for checking it out!

value: Show HN: A personalized HN feed that learns from your favorites

author: tullie


value: wwwpatdelcom

value:
Finally made it to v0.0.4 after over a year of hobby work.
There are known problems, but it works if you wanted to put it on a VPS.
Please submit any issues here.
Looking for help with the position settlement math and locking initial bets in a more elegant way if anyone has a math background and wants to pitch in.

value: Show HN: Production Deployable Prediction Market Platform, SocialPredict v0.0.4

author: wwwpatdelcom


value: tarasyarema

value:
Hello HN!
I'm working on a project called desplega.ai, and today we wanted to share a free tool we built to find usability and accessibility issues in your sites.
We used our engine for browser navigation (fully custom on top of Playwright) in conjunction with the axe-core engine (https://github.com/dequelabs/axe-core) to find the usability and accessibility issues as we explore your application in seconds.
Feel free to try it out and let me know what you think! It's free and there's no sign-up required to see how it works and the live results (we may ask for your email if you want to see a cool report tho, I guess it's fair? :D)
Note for vibecoders: You can just use your deployment URL and copy paste the full report to the v0/replit/lovable/bolt chat to fix them :D (shortcut https://app.desplega.ai/demo/landing-1?url=<your_url>)
Cheers,

value: Show HN: Evaluate your website usability in seconds

author: tarasyarema


value: Show HN: BetterHN – Sleek and Clean HN Reader


value: truetaurus

value: Show HN: Lost and Found Management Simplified

author: truetaurus


value: The long-awaited status page support has arrived in v3.1.0.

value: Show HN: Kuvasz Uptime 3.1.0 – now with Status Pages


value: dillonnys

value:
TL;DR: Picking an embedding model is tedious (ad‑hoc scripts, switching SDKs, messy notebooks). I wanted a consistent, repeatable workflow to A/B models on my own data and sanity‑check retrieval before wiring up a full stack.
Recently, I've been studying text embedding models and their various applications and I found it all to be very tedious. I was doing the same workflow over and over again: transforming data into input for the models, generating vectors for multiple models and storing them in a vector DB, and then running similarity search for different queries. I'd evaluate the results, then start tweaking the input, tweaking the different models, and run the whole process all over again. The iteration cycle was slow, so I built a tool which made this a lot easier.
Embedding Explorer is a minimal web app to ingest data, generate embeddings with multiple providers, store vectors, and run fast similarity searches so you can compare model quality side‑by‑side. Everything runs locally in your browser—no backend, no login.
It's broken down into the logical steps I was taking, keeping everything organized and consistent as you iterate:
- Data: upload CSV or point at a SQLite DB.
- Templates: build doc bodies with a small mustache‑style syntax (`{{field}}`) and preview IDs/bodies.
- Providers: configure multiple models (OpenAI, Google Gemini, Ollama) and run batch jobs across them.
- Storage/search: vectors + metadata live in libSQL running in WASM, persisted to OPFS; k‑NN/cosine queries power the comparison UI.
Tech Stack: Dart + Jaspr for UI/workers, libSQL WASM for persistence. No telemetry, everything stored locally in OPFS.
Live demo (no login): https://embeddings.thestartupapi.com

value: Show HN: Embedding Explorer – compare text embedding models in your browser

author: dillonnys


value: relatedcode

value: Show HN: I Want My Travel

author: relatedcode

title: Show HN: I Want My Travel


value: akanthi

value:
I know there are a gazillion todoist clone already but please bare with me. :)
I was beginning to start dabbling with vibe coding over the past few weeks, and what better project to start with than Todoist, my favorite to-do application.
This demo: I’m a paid user of Todoist and have been using it for the past 10 years, so I naturally wanted to see how far I could go with wipe coding by building a version of Todoist that I could personally use.
When I thought about sharing it with others and making it easier for anyone to self-host, I also built a wrapper around Supabase that you can connect to your personal Supabase.
Do check it out! Any feedback is most welcome, and it’s also open source.

value: Show HN: Open-source Todoist Clone that you can run on your personal Supabase

author: akanthi


value: zephyrzilla

value:
We're open-sourcing SyGra, a framework for building reproducible synthetic-data pipelines for LLM training and evaluation (SFT, DPO, agent simulation, multimodal).
Problem:
High-quality datasets are scarce, expensive, and often sensitive. When teams turn to synthetic data, the difficulty isn't single prompts—it's the end-to-end system: designing branching/looping workflows, coordinating multiple inference backends/APIs and tool calls, enforcing validation + schema compliance + quality tagging at scale, and running fault-tolerant jobs with resumability, sharding, and streaming. Ad-hoc notebooks/scripts don't capture that lifecycle.
What SyGra is:
A graph-oriented framework where you define nodes (LLM calls, samplers, transforms, agents, subgraphs) and edges (conditional / parallel / loops). Author pipelines in low-code YAML (CLI-runnable) or compose in Python. Emphasis on structured outputs and reproducibility.
Key capabilities:
- Graph model: reusable subgraphs; conditional/parallel edges; loops
- Quality: dual-stage quality tagging (heuristics + LLM-based scoring); OASST-style conversation formatting
- Backends: vLLM, Hugging Face TGI, Azure OpenAI, Ollama (Triton-compatible)
- Data I/O: Hugging Face datasets (read/write, streaming) + local files; schema + metadata tracking
- Execution: async runtime; checkpointing/resume; sharding support; multimodal inputs (image/audio/text); agent/tool nodes via LangGraph
- Reproducibility: deterministic configs, seeds, artifact paths, and provenance logs
- Modes: CLI (execute YAML graphs) or Python APIs (embed in notebooks/apps)
- License: Apache-2.0
Links:
- Repo & README: https://github.com/ServiceNow/SyGra
- PyPI: https://pypi.org/project/sygra/
- Paper (design rationale): https://arxiv.org/abs/2508.15432
Disclosure: I'm part of the team behind SyGra.

value: Show HN: SyGra – Graph-oriented Synthetic data generation Pipeline for LLMs

author: zephyrzilla


value: Ekuo

value:
After applying to a thousand software engineering internships and jobs, the only interviews I ever got were from attending university events or meeting people before applying.
Let's be real, in today's job market, the best way to get interviews is all about connections.
That's why I created Networca, an app that helps you automate the networking process by discovering alumni at your target companies and sending personalized outreach emails to secure coffee chats and referrals.
Check it out here:
https://www.networca.com
I would appreciate any feedback about the app. Thanks!

value: Show HN: A networking app to help students connect with alumni and get referrals

author: Ekuo


value: ideadibia

value:
Hey HN!
If you work in hardware, you know that context gets lost when moving from CAD to email and other tools we use.
At EverCurrent, we're using AI to empower hardware development teams by building a platform of record for hardware teams, one that's integrated with their tools, stores their processes, shows anticipated risks, and surfaces decisions made previously.
We’re backed by a16z speedrun and the E14 Fund to build an AI-native platform of record for hardware teams and have already begun working with incredible hardware partners on our pilots.
[Watch our launch video](https://www.linkedin.com/feed/update/urn:li:ugcPost:73762399...) and [join the waitlist to learn more](https://evercurrent.ai/).

value: Show HN: Evercurrent – AI platform of record for hardware teams

author: ideadibia


value: vectorius

value: Made a jobs board that riffs on corporate hiring tropes. You can post your own: type one line job description and it expands into a full, absurd listing in HR-speak. Or apply to existing jobs (no resume) for an immediate review and response by the 'hiring manager'.<p>Feedback on approach and UX welcome. Side project for personal (and hopefully, some community) fun. Incredibly bare-bones v0.

value: Show HN: Jobsurd – Satirical Jobs Board

author: vectorius

title: Show HN: Jobsurd – Satirical Jobs Board


value: eibrahim

value: Show HN: LatAmCoders – AI hiring platform for Latin American devs

author: eibrahim


value:
We build 1151 - a managed and scalable platform for easy lifecycle management and interaction with on-chain wallets. It allows you to create, manage, send and receive transactions to and from your wallets across Bitcoin, Ethereum and Tron networks with support for ERC-20 (USDT, USDC) and TRC-20 (USDT) tokens.
It existed for quite a while now as an internal tool used by us to manage fleet of wallets for us and our customers, starting as a simple abstraction layer on top of common client libraries and later we started using our custom developed modules for transactions compilation and broadcasting. We are certainly not the first in this niche, but what made us turn this into a separate service is how inconsistent and unnecessarily complex other services looked to us. If you wanted to support several networks you would have to use different providers for this, and their user experience was far from convenient.
As of now it’s still very young service and only supports primitive operations like creating transactions with chain-native coins, ERC/TRC tokens, UTXO picking and multi output transactions for Bitcoin, fees and gas prices fine tuning. Despite that we have many more features nearing launch: Support for any custom ERC/TRC tokens, Tron bandwidth and energy staking management, batched transactions and many more.
We can’t wait to hear your feedback, suggestions and requests on more features.
Our website: https://1151.to
-Casper

value: Show HN: 1151 – managed platform to manage on-chain wallets


value: kieojk

value:
Hi everyone,
I’m an indie developer learning Next.js and a big fan of the NYT game Pips. Inspired by it, I built https://pipsgamer.com — a responsive web version of Pips with smooth gameplay on both desktop and mobile.
What makes this project different from NYT’s version is that you can play it infinitely under three difficulty levels: Easy / Medium / Hard.
This is the first time I’ve built a game. Along the way I ran into many difficulties: implementing the game logic, configuring the UI, matching layouts for small and large screens, etc. I spent many lonely nights and sometimes even doubted whether I could complete the whole project. After 24 days of persistent effort, the project is finally finished.
No signup required — just go and play. If you try it out I’d really appreciate your feedback: what you like, what bugs you see, what could be improved.
Thanks!

value: Show HN: A web version of Pips game (NYT domino game)

author: kieojk


value: augustflanagan

value:
We’re the makers of Crontab.guru and Cronitor.io, both first launched on HN about a decade ago.
We wanted a secure web GUI way to manage/run our own cron jobs — so we built it and open‑sourced it!
With Crontab Guru Dashboard you can:
* Create, update, suspend and delete your cron jobs easily
* Start a job on-demand or kill running instances that are hanging around too long
* Debug jobs with a local console
* Use our MCP server to integrate with coding assistants like Cursor and Claude Code to configure jobs and check health/status
Feedback welcome!

value: Show HN: Crontab Guru Dashboard – open‑source, self‑hosted cron GUI

author: augustflanagan


value: Show HN: Apples2Oranges. Ollama with hardware telemetry.On device LLM playground


value: marchantweb

value: Show HN: Shaders – A first-of-it's-kind component library for front end magic

author: marchantweb


value: vagabund

value:
Hey HN, I built this simple tool for fun over the weekend after getting tired of breaking my flow to copy and paste what I was reading in a Claude tab.
My goal was to make the process as frictionless as possible so you don't expend cognitive load thinking about the tool.  To that end, there are no hotkeys or buttons to initiate the chat widget, the extension just detects natural language as you type and populates the widget after a threshold.
The LLM gets the text content in your current viewport as context.

value: Show HN: Inflow – invoke an LLM with your viewport just by typing

author: vagabund


value: ubergeekady

value:
Hey HN,
I run a bunch of small projects (at one point 15+ static sites built with Astro, Hugo, and Next.js in static mode). The one thing that consistently caused me pain wasn’t the frontend — it was handling form submissions.
Some sites had PHP mail hacks, others were wired to Google Sheets, a few went through Zapier. It was messy, error-prone, and easy to miss leads. I wanted one clean, reliable backend where I could point all my forms and centralize everything.
So I built JSONPost:
* Drop-in form endpoints (works with HTML, React, Vue, or anything that makes HTTP requests)
* Email notifications with templates
* Webhooks (Slack, Discord, Zapier, custom URLs)
* Spam protection (honeypot, domain validation)
* Analytics dashboard + CSV export
* RESTful API with JSON and form-data support
Free tier includes 500 submissions/month, enough for side projects and small sites.
I’d love feedback from the community — especially from those who manage multiple static websites.
* Does this solve a real problem you’ve hit?
* What would make it more useful in your stack?
* Any obvious gaps I should fix?
I’m treating this like a long-term tool rather than a quick hack, so honest criticism is welcome. If you sign up, you’ll get an email from me directly (I’d love to learn how you use it).
Thanks HN
PS :- I am giving away free pro accounts for 6 months if you really plan to use it on your websites. Just signup and reply to my email mentioning HN.

value: Show HN: JsonPost – Universal Back End for Static Website Owners

author: ubergeekady


value: indest

value: Show HN: AI Movie Quiz – guess movies based on AI clips

author: indest


value: safwanbouceta

value:
Hey, it's Safwan
I'm 16 and obsessed with AI and coding. Last year, I was struggling with my homework - especially when teachers gave us long PDF documents to analyze for history and literature classes.
The problem? I'd spend hours scrolling through 30-page PDFs trying to find specific quotes or information for my essays. My friends had the same issue - we were all wasting time instead of actually learning.
I tried Ctrl+F, highlighting, even printing everything out... but I realized what we really needed was to ask questions to our documents like we would to a teacher.
So during summer break, I taught myself more about AI and built the first version of PDF Chat.
Now I can finish my research in minutes instead of hours, and I'm helping students and professionals worldwide do the same. Pretty cool for a high schooler, right?

value: Show HN: I built an AI in 3 days at 16 y/o that lets you chat with your PDFs

author: safwanbouceta


value: annabromley

value: Show HN: A simple health tracking app I built to make daily logging simpler

author: annabromley


value:
Over the past few weeks, I've been working on releasing the open source version of my project: RemoveMD.
RemoveMD is a tool that removes sensitive metadata from files (images, documents, PDFs, audio, and video). This hidden information—such as the GPS coordinates of a photo, the name of a document's author, or a device's model—is often overlooked by users, but it can be exploited for tracking, OSINT, or even identity theft.
The new version is now available as a Python library and can be used directly from the command line or integrated into other projects. The idea is to provide a free, transparent, and accessible solution. All processing is done locally, with no permanent storage: the files are simply cleaned and then restored.
The source code is published on GitHub:
 https://github.com/Gravyt1/removemd
I've also created a hosted version using this same code for non-coding experts. So you can support me on this site by using it for free (there are some free limitations, if you would like to use it completely, use the open source version).
 https://www.removemd.com/
I would love to hear feedback from the community, whether it's about the code architecture, security best practices, or simply ideas for improvement. I'm still learning the open source ecosystem, so any advice or contributions are welcome.

value: Show HN: A simple open-source privacy tool


value: beshrkayali

value:
Hey HN, I just released GroupTab after getting some feedback from the TestFlight beta.
The idea came from my own frustration with the default macOS app switcher when I have 10+ apps open. You know that feeling when you're cycling through a massive list just to get to Notes or Messages, then back to your terminal, then to Xcode? GroupTab lets you organize apps into rows so you can jump between "work stuff" and "personal stuff" quicker without the endless carousel.
You use Option+Tab instead of Cmd+Tab, then navigate with arrow keys (or hjkl if you're into that, or just the typical tab/shift-tab). Apps stay in their groups, so your browser windows stay with other browsers, dev tools stay together, etc. You can drag apps between groups or use keyboard shortcuts to move them around.
I've been using it for a few weeks now and I'm quite happy with how it works. A few beta testers said similar things, which was encouraging.
The app is $1.99 but I'm making it free until September 26th so people can try it out and see if it clicks for them. No point charging for something if it doesn't actually improve your workflow.
Mac App Store: https://apps.apple.com/app/grouptab/id6751125313
More screenshots and details: https://beshr.com/grouptab/
Would love to hear any feedback if you get a chance to try it.
Thanks!

value: Show HN: I built a grouped app switcher for macOS

author: beshrkayali


value: kamranrapidfire

value:
We built RapidFire AI, an open-source Python tool to speed up LLM fine-tuning and post-training with a powerful level of control not found in most tools: Stop, resume, clone-modify and warm-start configs on the fly—so you can branch experiments while they’re running instead of starting from scratch or running one after another.
- Works within your OSS stack: PyTorch, HuggingFace TRL/PEFT), MLflow.
- Hyperparallel search: launch as many configs as you want together, even on a single GPU
- Dynamic real-time control: stop laggards, resume them later to revisit, branch promising configs in flight.
- Deterministic eval + run tracking: Metrics curves are automatically plotted and are comparable.
- Apache License v2.0: No vendor lock in. Develop on your IDE, launch from CLI.
Repo: https://github.com/RapidFireAI/rapidfireai/
PyPI: https://pypi.org/project/rapidfireai/
Docs: https://oss-docs.rapidfire.ai/
We hope you enjoy the power of rapid experimentation with RapidFire AI for your LLM customization projects! We’d love to hear your feedback–both positive and negative–on the UX and UI, API, any rough edges, and what integrations and extensions you’d be excited to see.

value: Show HN: RapidFire AI: 16–24x More Experiment Throughput Without Extra GPUs

author: kamranrapidfire


value: Jean-Philipe

value:
I made this web app to replace the "who brings what" and "who does what" lists on google docs for our upcoming kindergarten fest.
The stack is react, drizzle, nextjs and postgres. I'm working on letting OpenAI generate initial content for the pledge board, based on title and description. One topic I want to explore is subtle AI integration that doesn't annoy users, like placeholder content in the input fields that fit the theme of the board. There are lots tweaks I have in mind for the future, like locking input fields when a user is entering their name, or encrypting the content with a passphrase.
The landing page is still AI generated, which has a lot of fluff. I want to trim it down and give it some soul.
Any feedback is welcome! Is this useful at all, or is google docs good enough?

value: Show HN: Pledge boards without singups

author: Jean-Philipe

title: Show HN: Pledge boards without singups


value: astronautmonkey

value: Show HN: Agora – Vibe code an e-commerce store

author: astronautmonkey


value:
Hello everyone,
I've been working on hn30, an alternative interface to view the top 30 stories on Hacker News, for the past couple of weeks. My motivation behind this web app was to have a tech news / tech blog-style website for the Top 30 stories, so that people who might find the HN interface unfamiliar have an easier and more familiar way to stay up to date with tech news and projects posted here.
This project was also another experiment of mine to see the potential of vibe-coding tools, especially Google's Gemini CLI, and to see the limits (which I ran into quite a few times).
The code is also available on GitHub (https://github.com/julianYaman/hn30). Feedback is always welcome.
I'm looking forward to reading your thoughts and opinions.

value: Show HN: Hn30 – Alternative Interface for the Top Hacker News Stories


value: sftechdude

value: Show HN: Drag and Drop files to automaticaly organize them

author: sftechdude


value: nickswalker

value: I host the Light Rail Relay in Seattle, an event where people run the length of the 1 Line. Over the years I've built a web map that includes an annotated on-foot route as well as live transit info. OSM Data, self-hosted PMTiles in MapLibre + One Bus Away API used from the client side to draw trains and arrivals.<p>The registration and results system (Pantograph, see links on page) are also homegrown. If you or your coworkers are looking for something fun to do together this weekend, come run (or walk) and try things out!

value: Show HN: A Live Map for Running Seattle's Light Rail

author: nickswalker


value:
Hello HN, a quick share from my weekend project. TBX Live Server is an extension that bakes a browser-like webview right into VS Code, keeps multiple servers in sync, and reloads on the fly. Developers can run parallel environments, toggle ports per workspace, and stay in the editor while testing. In the last 24 hours it picked up 19 new downloads and 2 stars, so early adopters seem to be finding it useful.
Repo: http://github.com/TheMailmans/vscode-inline-live-server
Marketplace install: https://marketplace.visualstudio.com/items?itemName=Thinkbac...
Happy to answer questions or hear what workflows you’d like to see supported next.

value: Show HN: BX Live Server – VS Code live reload with embedded preview


value: garberchov

value: Former homeschooler here. Built this to solve the problem of one-size-fits-all curriculum that doesn't match how individual kids actually learn. Algorithm analyzes learning preferences and interests, then dynamically generates lessons with appropriate media (videos for auditory learners, diagrams for visual, etc.). Projects form sequences that build on previous concepts rather than isolated assignments. Added parent dashboard for progress tracking. Free during beta - looking for feedback on the approach.Retry

value: Show HN: Thehomeschoolingcompany.com, fast, easy, personalized learning

author: garberchov


value: taiseiue

value:
Converts between sortable UUIDv7 and random-looking UUIDs by encrypting their timestamps.
This library is a port of stateless-me/uuidv47 to the C#/.NET ecosystem.

value: Show HN: UUIDv47Sharp

author: taiseiue

title: Show HN: UUIDv47Sharp


value: I made an online tool where users can click to copy saved notes and links. You can save context or reference notes to identify relevant notes faster, or organize using tags and nested collections

value: Show HN: Click to copy notes

title: Show HN: Click to copy notes


value: OisinMoran

value:
Note that his doesn't work on Safari yet. They're not as forgiving for several of the horrible things I'm doing here.
When I first made this a few years ago on a Lenovo Thinkpad, running it would quickly hang Chrome. Technology has advanced in the meantime, and I've limited both the area and number of iterations so you should be safe.
The idea came from seeing a short video explaining that you could implement a reaction-diffusion system in Photoshop by chaining filters, and then at some point finding out that the SVG spec allowed filters too.
It's slightly randomised each time!
Feel free to adapt and remix of course

value: Show HN: A reaction-diffusion system in an SVG

author: OisinMoran


value:
hey everyone,
This is a demo of a chrome extension(it's currently under review) which allows anyone to create structured step-by-step learning plan for any goal and time commitment.
Once a learning plan has been created, you can follow the step by step instruction, by clicking on the task within the extension, which will automatically inject a prompt in chatgpt to generate learning materials.
The tool provides:
1. Structured learning plan creation.
2. Progress tracking
3. Creates and injects prompt in ChatGPT for generating learning materials for each step.
I would like feedback on whether this sort of an extension would be useful for your day to day learning.
I launched a web app for this a couple of weeks back: https://news.ycombinator.com/item?id=45190134
The extension has been submitted to Google for review, but if anyone is interested to try, here is the extension source code: https://github.com/svylabs/eigenarc-ext

value: Show HN:[Feedback Request] Chrome extension for structured learning with ChatGPT


value:
Hi HN , I’m Tina.
Like many of you, I’ve been frustrated with how often LLMs hallucinate — confident answers with no real basis. That’s why I’ve been building CompareGPT.io, a tool to make outputs more trustworthy.
The new Trustworthy Mode works by:
Cross-verifying every answer with our TrustSource, combining our own model with multiple leading LLMs (ChatGPT-5, Gemini, Claude, Grok) and authoritative sources.
Delivering each response with a Transparency Score and full references.
Helping users quickly see where to trust the output, and where to double-check.
It currently works best on knowledge-heavy domains (finance, law, science), and we’re looking for early users to test it out.
 Would love your feedback, suggestions, or even criticism on whether this feels useful and how we can improve.

value: Show HN: Comparegpt.io – Trustworthy Mode to reduce LLM hallucinations


value: Show HN: Jimmy Kimmel Monologue Generator


value: mujeeeb

value:
without access to a pc, i still wanted to build android apps on my phone. this meant i needed to find a way to do it without android studio, on a cli. the internet said that was easy, use gradle with android sdk cli tools. turns out gradle and android sdk relies on official x86 binaries from google servers. maybe there is way to override that, and use our own cross compiled binaries, but i dont know how to do that. also i wanted as much as control as possible over the build process. this led me to create my own build script for usage in termux.
it uses a combination of ninja files and shell scripts. all the tools necessary for building the apk has already been cross compiled and remains as a package in the termux repos(thanks). the shell scripts act as a meta build system, as that builds ninja files dynamically if files have changed. this gives me free parallelism and incremental compilation (i think so). this is definetely not a general build script for all android apps. if it needs to be built by my method, there are a lot of implicit hardcoded file paths, and the biggest issue being that the apps should rely only on platform apis(the ones available in android.jar).
do note that if it wasnt obvious from my tone or my profile, i am a beginner, who has no idea what is going on, so instead of doing push requests or bug reports, i would much appreciate if you just voiced your reasons down below and start a discussion, instead of doing technical stuff on github, i am still learning on how to use all of that. this is the first project that i am
showcasing on the internet(only because of my friends forced me to).

value: Show HN: Gradle-less APK builds on Android

author: mujeeeb


value: qinggeng

value: Show HN: I built an instant AI prompt library with one-click image generation

author: qinggeng


value: quangpl

value:
Hey HN,
I put together Clipboards.pro
 because I kept running into the same problem: I’d copy something important, then lose it the moment I copied the next thing. Most clipboard tools I tried felt either too heavy or outdated, so I decided to build my own.
Right now it does a few simple things well:
- Keeps a history of everything you copy.
- Lets you pin the stuff you reuse all the time.
- Has a quick search so you can find that snippet you copied yesterday without digging.
- Works across devices, so you’re not emailing yourself notes anymore.
I’ve mainly been using it for code snippets and terminal commands, but I’ve also found it handy for writing drafts, notes, and even copying multiple links at once.
If you want to give it a try, here’s the link: https://clipboards.pro/
I’d love to hear your thoughts:
- Do you already use a clipboard manager?
- What do you wish yours did better?
- What’s the most annoying “copy/paste” problem you run into?
Lastly, I am proving a peace of mind, not just a clipboard manager.
Thanks!

value: Show HN: Clipboards.pro – A simple clipboard manager I built out of frustration

author: quangpl


value: tavitao

value: Nan0 is a tool that simplifies AI image generation by using pre-optimized prompts and templates to get great results from top models, fast.

value: Show HN: Nan0.art – AI image generation without the prompt engineering hassle

author: tavitao


value: stamc

value: Show HN: Website mocks you for buying stupid shit, while buying stupid shit

author: stamc


value: xcreate

value:
Private inference app that lets you see the token entropy, explore and change the token probabilities. Just released on macOS, iOS version next then other platforms.
Here's a demo of it in action running DeepSeek Terminus: https://youtu.be/kts098EL2PQ
Would love to hear any feedback or feature requests from the community.

value: Show HN: Inferencer – Run and deeply control local AI models (macOS release)

author: xcreate


value: itsanirbanroy

value:
Hey HN,
I built Hovers.ai, an AI-powered SEO copilot that helps agencies, founders, and small businesses run SEO without juggling a dozen tools.
Most SEO workflows are messy: research in one tool, planning in spreadsheets, schema in a generator, content in docs, and publishing in WordPress. It's slow and scattered. Hovers pulls it all into one flow.
What Hovers does:
- Keyword Research + Topic Clusters – discover opportunities and organize content around themes
- 30-Day Content Calendar – auto-generated execution plan mapped to your keywords
- Research → Generate → Publish Flow – go from idea → draft → live post in minutes
- GSC Integration – track rankings, impressions, and clicks across your sites
- WordPress/Shopify Integration – one-click publishing from Hovers directly into your site
- AI-Suggested JSON-LD Schema – one-click structured data deployment
- SEO Task Manager – prioritize issues, fixes and content opportunities with a built in Kanban board
The core idea:
Spend 5 minutes a day reviewing the content calendar, approving drafts, and publishing, and keep your SEO engine running consistently.
Traction so far:
- Launched on X, got 30,000+ impressions and 80+ signups
- Reached $600 MRR last month
- Onboarded two enterprise clients
- Still working on smoothing the onboarding experience, some users drop off before seeing the full value
Where I'd love your input:
- Does this workflow (calendar + clusters + one-click publishing) feel like it would meaningfully reduce your SEO workload?
- If you've tried it, where did the onboarding or UX feel confusing or incomplete?
- What features would make this 10x more useful for agencies or founders running SEO with small teams?
I've bootstrapped this from scratch with my cofounder, and am shipping fast (new features weekly). If you're curious, you can try it here:
https://hovers.ai
Happy to answer questions about the tech stack, SEO approach, or why I built this.

value: Show HN: Tool for SEO research, 30 day calendar, publishing and more

author: itsanirbanroy


value:
A lot of the open-source TTS models are released for English or Chinese and lack support for other languages. I was curious to see if I could train a state-of-the-art text-to-speech (TTS) model for Dutch by using Google's free TPU Research credits. The results are fantastic and on-par with ElevenLabs with just 10,000 hours of data.
I open-sourced the weights, and documented the whole journey, from Torch model conversion, data preparation, JAX training code and inference pipeline. I spent about $300 in egress costs, but it can be as cheap as $100 to train this model (I ran the data collection pipeline on my 5090 Desktop PC as well as fine-tuning Whisper).
Hopefully it can serve as a guide for others that are curious to train these models for other languages (without burning through all the credits trying to fix the pipeline).

value: Show HN: Parkiet – Fine-tune a large TTS model for any language under $100


value: Veefa

value:
I built Evalyze because I was frustrated by how much time founders lose sending hundreds of cold emails to the wrong investors. The tool takes a pitch deck, reads it, and suggests a ranked list of investors with short notes on why each one might be a fit. It looks at things like stage, sector, check size, geography, and portfolio patterns, then compares that to a dataset of over ten thousand investors. The goal is not to give you a giant spreadsheet, but to narrow things down to the people who are most likely to care about what you are building.
Signup is free, just an email, no payment. I know some people dislike logins, but it helps me prevent spam and lets you save your runs. You can also play with a sample deck if you want to see it work before adding your own.
What I would love from HN is feedback. Are the matches useful? Are the explanations clear enough? Do you think it needs more transparency about how the ranking works, or less? Where does it break? Thin decks and biotech are still tricky, and sometimes investor data gets stale. If you notice bad fits, I would be grateful if you point them out so I can fix the signals.
I will be here in the comments to answer technical questions and to hear your thoughts. If signup is a blocker, let me know and I can share a sample run so you can still take a look.

value: Show HN: Evalyze-AI investor matches from your pitch deck (free signup)

author: Veefa


value: jonaskamber

value: Show HN: Domain Brainstorm – Find great names not taken

author: jonaskamber


value: mpavlov

value:
What
PokerBattle.ai is a week-long live no-limit Texas Hold’em tournament where all players are top-tier reasoning LLMs. We’re testing how different models handle imperfect information and whether they can sustain consistent, math-driven poker without tool use or custom code.
Why
- In poker you can do well with basic math + consistent logic.
- Superhuman poker AIs exist, but they rely on massive simulation/game-theory solvers and are effectively black boxes.
- We want a rough, apples-to-apples comparison of LLM reasoning on poker decisions, and to collect public reasoning summaries that might be useful for teaching humans poker concepts with LLM-based systems.
How it works (rules / format)
- Cash format, fixed blinds, no ante.
- Multiple tables run in parallel to increase hand volume.
- All players start with the same bankroll. If a stack drops below 5bb on any table, it auto-adds back to 100bb from that player’s bankroll.
- When a player’s bankroll hits 0, they bust. The largest bankroll at event end wins.
- Same prompt for all models. No extra tools, no code execution — pure language-only decisions.
- Models can keep simple notes about opponents across hands.
- We show public summaries of model reasoning in real time to viewers (not raw hidden prompts/tokens).
Research goals
- Compare different LLMs’ decision consistency and adaptation over long horizons.
- Produce a dataset of reasoning summaries + actions + outcomes suitable for exploring instructional use (human learning/teaching), not solver training.
When / where
- Dates: Oct 27 — Nov 3
- Live on a website: link on the site below (free to watch).
Looking for
- Feedback on design/metrics.
- Participants suggestions.
- Community ideas on fair prompts, leak prevention, and evaluation.
- Sponsors interested in supporting an open, public experiment (logos on stream, sections sponsoring, mentions).
https://pokerbattle.ai/
Happy to answer technical questions (prompting, seat randomization, bankroll accounting, leak-proofing, latency/timeout handling, etc.). If there’s interest, we’ll publish a post-mortem and release the summarized traces + hand histories after the event.

value: Show HN: Pokerbattle.ai – A week-long poker tournament for LLMs

author: mpavlov


value: DREDREG

value:
Introducing GravOptAdaptive — a new version of GravOpt that:https://lnkd.in/dw78avM6 7 day trial, Drop-in replacement for Adam/SGD . There is no need to change the model, data, loss function, or pipeline.
→ The code continues to work — but it is trained faster (in the paid version) or with a trial limitation (in the free version).
Analyzes the behavior of each parameter separately
 Gives a larger update only when necessary
 Keeps the stability of parameters that are already moving well
 Improves accuracy — without increasing the number of iterations

value: Show HN: GravOptAdaptive – Drop-In PyTorch Optimizer, 25% Faster Training

author: DREDREG


value: valado

value:
Hi all,

  since I began building with agentic systems, I kept copying and sharing Markdown-based agent definitions across projects and devices. Syncing was a pain.

So I built Pantheon MCP, a server that always provides the latest versions of an agent definition from a collection of currently 42 agents. Now I have to only add the MCP server to a new project and everyone on the project gets the same agent definitions all the time.
In addition, using it allows the system to choose dynamically the correct agent based on the task at hand.
I’ve been running it internally — now I’m releasing it publicly.
Feedback welcome. I hope others find it useful as well. Happy experimenting!
V.D.
https://pantheon-mcp.com
https://github.com/valado/pantheon-mcp

value: Show HN: Pantheon MCP – a central server for AI agent definitions

author: valado


value: rafmardev

value:
A few months ago I needed to clear every feature branch that were in my local repo. After delete manually more than 10 branches, it was so annoying that I didn't want to repeat it.
So I thought, I've never build a full Rust app before but I'll use it to help me with git.
So created gat, a terminal tool that with one command, it executes whatever is needed so I don't need to do boring git operations and can focus on cool rebase interactive operations.
I hope it can help you as much as it helps me.

value: Show HN: I made a tool to make my Git operations easy

author: rafmardev


value: Show HN: “You’re absolutely right” on a tee


value: msvana

value: I am a bit conservative when it comes to using AI to write code for me. However, I want to use AI to chat about my code - something like ChatGPT that sees my local files. So I started working on FileChat.<p>FileChat is still quite new, and any feedback is appreciated. Please file an issue if you find a bug or have a feature suggestion.

value: Show HN: Read-only AI coding assistant

author: msvana

title: Show HN: Read-only AI coding assistant


value: yarlinghe

value: Show HN: GlitchText – Free Online Zalgo and Weird Text Generator

author: yarlinghe


value: akash-bilung

value:
Hi HN,
Last year, my washing machine broke. It was still under warranty, but I couldn't find the receipt anywhere. Ended up paying ~$500 for a repair that should've been free.
That stung — so I built SlipCrate to avoid it happening again.
Here's what it does:
- You upload receipts (photo or PDF).
- It extracts purchase + warranty details automatically.
- Everything is stored in one place.
- It reminds you before warranties expire.
- Works as a web app (installable on phone as a PWA).
I've kept it simple — not another "all-in-one finance app," just a focused tool to stop losing money because of misplaced receipts or forgotten warranty dates.
Try it here: https://slipcrate.com
(It's free to try, early testers get a discount code for premium.)
Thanks for reading — and if this saves even one person from paying out of pocket like I did, it'll be worth it.

value: Show HN: Lost $500 because I couldn't find a receipt – built SlipCrate

author: akash-bilung


value: zaiyiqi

value:
I'm excited to share my first-ever side project: Blur Image Online.
The idea came from my own need. I often had to share screenshots but needed to hide sensitive information first. Most online tools either uploaded my images to their servers, were slow, or full of ads. I wanted a simple, private, "open-and-use" tool, so I decided to build it myself.
The most important feature for me is privacy. All the image processing happens entirely in your browser. Your images are never uploaded to any server.
Current State & Future Plans:
Right now, the tool is in its very first version. It can apply a blur effect to the entire image, and you can adjust the intensity.
My immediate next goal is to add a brush feature to allow blurring of specific areas, which would make it much more useful. I'm still exploring the best way to implement this, and I would love to hear any thoughts or technical suggestions from the community.
Since this is my first real project, I'm sure there is a lot of room for improvement. I would be incredibly grateful for any feedback, bug reports, or feature suggestions.
Thanks for checking it out!
The site: https://www.blurimageonline.com/

value: Show HN: Blur Image Online – A free, client-side tool to blur images

author: zaiyiqi


value: ajoshu

value:
Hi HN, I just began another project, I haven't made a mobile app in over a year so I thought I'd start again with this fun project that was on my backlog of ideas.
Simple concept, I just need some initial hype for it to really work. - The core logic is showcased on the pre-launch website I made, you can vote on opinions, comment, etc.
Lmk if you want involed in the project.

value: Show HN: Building a Mobile App

author: ajoshu

title: Show HN: Building a Mobile App


value:
ZenScript is an Android app that automatically redirects social media apps to your chosen reading material when you hit your daily time limits. Instead of showing a "blocked" screen, it seamlessly opens your ebook or textbook.
Built this after my wife and I kept getting distracted from German exam prep by endless scrolling. We tried every app blocker, but they all had friction - you'd see "blocked" and then manually have to open your study materials, which often broke our motivation.
The key insight: replace the habit rather than just block it. When you tap Instagram after your 30-minute limit, ZenScript intercepts the launch and opens your focus book instead. No friction, just automatic redirection from scrolling to learning.

value: Show HN: ZenScript – When you open Instagram, your textbook opens instead


value: CeresBroker

value: Show HN: Leadchee – A Sales Tool That Doesn't Feel Like Work

author: CeresBroker


value: simpnoza

value:
Hey HN,
TLDR: The tool automates the entire process. No scripting, no voice model training, no production headaches. Just paste an article and get a video with Peter and Stewie explaining it.
I'm a self-taught dev (admittedly mediocre), currently between jobs and lately, I've been doom-scrolling news and way too many dense articles. The constant information overload was giving me serious anxiety!!
I built it to:
- make complex topics more digestible through humor
- create a buffer between me and the constant news cycle
- turn learning into something I actually looked forward to
I normally use LLMs to break down complex topics, but I wanted something more engaging and less stressful. A way to consume news without the mental drain.
My vision is to eventually set up ensembles of familiar characters debating complex topics in their signature styles (think Spongebob optimistically tackling climate change).
It's completely free! I built it for myself, but figured others might find it useful too.
Would love your feedback,
Rob

value: Show HN: I made a tool to automate the stupid but fun Family Guy dialogue videos

author: simpnoza


value: JJooaa

value:
Hi HN,
I’ve been working on a project called Sisu Video, which introduces something we’re calling videobots.
The backstory: I’ve always felt that websites are cold. Most are just walls of text or static images, sometimes with a chatbot, but they rarely feel like there are real people behind them. We wanted to change that.
A videobot is an interactive video experience you can embed on your site. Instead of reading text or chatting with an AI, visitors interact with short videos recorded by you or your team. After each video (10–30 seconds), they get clickable choices that determine what plays next. Eventually, the flow leads them to a clear next step: booking a call, signing up, or learning more.
What makes it different:
- Combines the authenticity of video with the interactivity of branching logic
- Everything is human-recorded and guided, not AI-generated text
- Makes websites feel personal - visitors see real faces explaining your product or service
We’ve just launched v1, and you can try it here: https://sisuvideo.fi/?ref=hn
You can see it in action in the bottom-right corner of the page, like a chatbot. No signup barrier if you just want to explore.
I’d love feedback from this community - especially around whether this feels useful, how the UX comes across, and potential edge cases we may have missed. Brutal honesty is welcome.
- Joa

value: Show HN: Interactive video that brings websites to life

author: JJooaa


value: sharanry

value:
Wilson eliminates legal bottlenecks by automating contract reviews, term extraction, and legal research that normally take hours. Our autonomous legal agent researches the web + your internal datasources, drafts/analyzes contracts, and provides verifiable answers with citations.
Built by lawyers for legal teams, our agentic architecture combines:
- internal + web research: Autonomous browsing and querying across your knowledge bases, legal databases, and web sources
- Document intelligence: Multi-modal ingestion of PDFs, Word docs, messy files with custom term extraction
- Drafting & redlining: AI-powered contract generation and negotiation assistance, with direct Word file editing
What it unlocks for tech firms:
- 10x faster legal workflows: Autonomous research and document editing eliminates manual document review bottlenecks
- Scalable legal ops: Handle 10x more contracts without headcount growth
- Integrated toolchain: 15+ API integrations with Slack, Google Drive, SharePoint and your existing legal tech stack
- Multi-jurisdictional: Works across languages and legal frameworks
Currently helping tech firms allocate more headcount to tech and less on non-tech essentials like HR and Legal. Would love your feedback on our agent architecture and research capabilities!
Try it here: https://www.getwilson.ai/

value: Show HN: WilsonAI – Cursor for Legal with contract editing and research

author: sharanry


value: rytisg

value:
Hi HN! I built Mnemeo after years of searching for the right flashcard app.
I loved Memrise's typing mode and clean UI, but when they pivoted away from user-generated content, I had to find alternatives. Anki is powerful but wasn't quite what I wanted - the UI felt dated and the web version is limited. Plus I kept hitting ease hell.
So I built what I personally wanted: a modern spaced repetition app where you choose between typing mode (for exact answers - spelling, code syntax, languages) or rating mode (for concepts and quick reviews). Same cards, different review styles based on what you're learning.
Key features:
- SRS algorithm with intuitive 3-point scoring (wrong/close/correct) that avoids ease hell
- Everything accessible in 2 clicks - no menu diving
- Full keyboard shortcuts - review cards without touching the mouse
- Import from Anki/CSV (I migrated my own Anki decks and Memrise courses this way)
- Export your study data to CSV
- Leaderboards and personal study metrics
- Responsive web app - add, edit, study, organize from any device
- Text-only for now - no audio/images yet
Completely free for now, but looking to add premium features.
Just launched after building what I wanted for my own studying. Would really love your feedback and what features matter most to you!

value: Show HN: Mnemeo – flashcard app with typing and rating modes

author: rytisg


value: odwyerrich

value: All the other sites annoyed me, so I built a better one.<p>Will always be ad-free and free. Enjoy

value: Show HN: I made the fastest, ad-free way to download videos from X/Twitter

author: odwyerrich


value: accelerationa

value:
Hi HN,
I’m Yongcong Luo, the creator of Quantum Lings.
I've been fascinated by quantum computing for a while, but I always found the learning curve to be incredibly steep. Most resources are either dense academic papers or require complicated local setups with SDKs like Qiskit or Cirq before you can even write your first line of quantum code.
There wasn't a simple, interactive way to get hands-on practice with quantum algorithms in the same way LeetCode or HackerRank let you practice for traditional software engineering.
So, I built Quantum Lings. It's a browser-based platform with a series of coding challenges designed to take you from basic quantum gates to more complex algorithms like Grover's search. The goal is to make learning quantum concepts more accessible and interactive.
Key features right now:
* In-browser quantum simulator – no local installation required. You can start coding in seconds.
* A growing library of guided problems with tutorials and hints.
* Circuit visualizations to help you understand what's happening to the qubits at each step.
This is a pilot launch, so the platform is still very new and I have a long list of features and problems I want to add. I'm launching it today because I'm looking for feedback from the community.
I would love to hear what you think. Is it useful? What problems would you like to see added? Are there any bugs or things that are confusing?
I'll be here all day to answer questions and listen to any and all feedback. Thanks for checking it out!

value: Show HN: Quantum Lings – A LeetCode-style platform for quantum computing

author: accelerationa


value:
Silent Hill F is coming soon, and as a horror game fan I wanted to build a small site around it.
Right now the site mostly collects some fun horror-themed games that you can play directly in the browser—no downloads required. The walkthrough content for Silent Hill F hasn’t started yet, but I plan to expand it once the game is out, including puzzle solutions and hidden secrets.
Tech-wise, it’s a simple static site deployed on Hostinger with some embedded web games. I’ll be iterating on both the design and content.
Link: https://silenthillf.top/
Would love to hear feedback on usability, design, or what kind of horror game content you’d like to see added.

value: Show HN: Silent Hill F fan site with browser-playable horror games


value: eschnou

value: Show HN: Tool to measure AI adoption in software development teams

author: eschnou


value: ZJChen

value:
Hi HN!
We just launched Verdent, an AI coding agent that actually plans before it codes, tests its own work, and delivers production-ready results without you having to clean up after it.
tl;dr Check out the website [1] and read the story [2]
- The problem: Current AI tools dump code and leave you to debug. You ask for "build a login endpoint" and get a passwordless JWT mess that doesn't fit your project. We've talked to hundreds of engineers who are frustrated with having to micromanage AI output.
- What we built: Verdent works more like a senior engineer. It asks clarifying questions first, breaks down complex tasks, writes the code, then runs its own tests and fixes bugs until everything works. We call it the Plan → Code → Verify loop.
Two ways to use it: VS Code extension for staying close to the code, or Verdent Deck desktop app for handling bigger multi-component tasks in parallel.
- Background:  I was Head of Algorithms at TikTok and spent 9 years as Chief Technical Architect at Baidu before this. Building those massive recommendation systems taught us that you need hundreds of specialized models working together, not just wrapping an LLM. We applied the same system engineering approach to AI coding.
- Try it: Available now, paid plans start at $19/month. We're a small team so no free tier, but we'd rather you experience what autonomous coding can actually do than get frustrated with a limited version.
- The bigger picture: We see AI coding as just the start of a larger shift where AI becomes the orchestrator across the entire software lifecycle, not just a typing assistant.
What do you think?
What tasks would you actually trust an AI agent to handle end-to-end?
[1] https://www.verdent.ai/
[2] https://thenewstack.io/tiktoks-ex-algorithm-chief-launches-v...

value: Show HN: Verdent – AI coding agent that plans, tests, and ships

author: ZJChen


value: guusvanrees

value:
Hey product hunt!
I created SwiftAgenda so you could plan tomorrow in minutes and get more structure into your day.
The app asks for your preferences and gives you a daily recommended planning. You can easily change the planning and download it as PDF.
Here’s how it works
1. Enter your name
2. Answer a few questions
3. Generate a personalised planning based on your preferences
4. Export your planning to a pdf or change it as you like
No login required. Try it immediately.
Hope it will help you get more structure into your day quickly and easily.

value: Show HN: I made an interactive tool to plan tomorrow in minutes

author: guusvanrees


value: MohammadRMZ

value:
Show HN: PlantYourTip — simple tipping pages for creators & SMBs (plants a tree)
I built PlantYourTip: a super-simple tipping page for creators, influencers, and small businesses. Supporters tip you via a shareable link-in-bio or QR, and a small portion of each tip funds a verified tree through Ecologi—so every tip says “thanks” and plants a tree.
* Homepage: https://plantyourtip.com
* Example creator page (no login): https://plantyourtip.com/moh
* Video walkthrough (no signup): https://plantyourtip.com/videos/vJgSK-GdXxg
A few details:
* 100 early adopters are already using it.
* Pricing: no monthly charges; 5% platform fee per tip.
I’m especially keen to hear from influencers/digital creators/small business:
* What would make you actually put this link in your bio?
* Which metrics/exports do you need (e.g., per-platform attribution, top tippers, monthly summaries)?
* Any deal-breakers around payout, fees, or branding?
No marketing fluff—just looking for blunt product feedback and bug reports. I’ll be in the thread to answer questions.

value: Show HN: PlantYourTip, a link-in-bio tools that plants a tree with each tip

author: MohammadRMZ


value: shashankshukla

value: Hi HN, I kept wasting time overthinking replies on X.com (Twitter). So I built XInsight AI, a Chrome extension that lives inside X, suggesting thoughtful replies in seconds and no copy-paste, no leaving the site.<p>It’s just me building this, and I’d love feedback from people who actually use X.

value: Show HN: Chrome extension that suggests replies directly in Twitter

author: shashankshukla


value: antonpodolsky

value:
I recently added the ability to read and verify C2PA Content Credentials in the Exify extension.
Images with embedded Content Credentials are few and far between and it remains to be seen whether wide adoption of the C2PA standard will actually happen,
but in the rare cases where the data is available, it can be easily viewed using Exify.
You can try Exify here (no need to install it first): https://www.exify.io/

value: Show HN: Brief introduction to C2PA and using Exify to view Content Credentials

author: antonpodolsky


value: dtgeadamo

value:
Hi HN,
I’m a software engineer and real estate investor. I grew tired of scrolling through property listings and manually analyzing each one just to figure out which of them are actually profitable as rental properties. This was especially tiring as only a few properties ever end up being worth the trouble.
So I built Rentalytics — a system that automatically pulls active listings in a market, runs the numbers, and ranks them by:
- Cash flow
- Cash-on-Cash Return
- Debt Service Coverage Ratio (DSCR)
For the proof of concept, I started with Columbia, SC. Last week: out of 1152 active listings, only 85 were worth considering.
The idea is to expand city by city (Charlotte, Raleigh, Greenville are next), while improving the metrics and UX.
Right now:
Free = weekly “Top 5 Deals” email
Pro = weekly full ranked spreadsheet
https://www.rentalytics.fyi/demo
Would love feedback from HN on:
- Other metrics worth automating?
- CSVs vs dashboards — which is more useful to you?
- How should I prioritize which cities to add next?
- Any cities you'd especially like to see as an investor?
Thanks!

value: Show HN: Rentalytics – Find rental property deals that actually make money

author: dtgeadamo


value: strandnerd

value:
I was tired of manually setting up SSH tunnels every time I needed to debug a service or proxy a database.
So I built tunn — a lean Go tool that feels like docker-compose, but for SSH tunnels. You define your services in a YAML file and run all your tunnels concurrently with one command.
 • Written in Go (only depends on yaml)
 • Simple log output, clean CLI
 • Supports grouping services and running selectively
GitHub: https://github.com/strandnerd/tunn
I’d love feedback, feature requests, and ideas for improving DX!

value: Show HN: Tunn – Manage all your SSH tunnels from a YAML file

author: strandnerd


value: nickharty

value:
I built Synced.it, an agent-to-agent (A2A) scheduling tool that syncs with Google + Outlook to let calendars “negotiate” the best meeting time across groups.
It’s lightweight, mobile-first, and built for multi-person coordination (study groups, office hours, project teams) where one-to-one scheduling tools don’t work.
Already 10,000+ students are using it — would love HN’s feedback on expanding A2A scheduling beyond campus into broader team and enterprise workflows.

value: Show HN: Synced.it – A2A group scheduling (10k students using it)

author: nickharty


value: venelinkochev

value:
Hi HN,
I've built a lightweight file conversion API as a side project
- Supports 100+ formats
- REST API with PHP + JS SDKs
- White-label frontend + backend available
feedback welcome!

value: Show HN: A simple file conversion API

author: venelinkochev

title: Show HN: A simple file conversion API


value: Show HN: Project health insights for critical open source


value: garbinhuang

value:
Hi HN,
I'm the creator of epress. After a lot of work, I'm excited (and a bit nervous) to finally share it with you.
For years, I've been feeling like a digital tenant on the platforms I use every day. My content, my social graph, my online identity—they were all stored on someone else's servers, subject to their rules, algorithms, and business models. I could be de-platformed, my data could be sold, or an API I relied on could suddenly be put behind a paywall.
I looked into existing decentralized alternatives. While many are great projects, I found they often shifted the trust from a big corporation to a server admin (in federated models) or relied on a network of voluntary relays that could be unreliable or eventually charge fees. The fundamental dependency on third-party infrastructure remained.
epress is my attempt at a solution, built on a simple, almost nostalgic principle: true ownership requires self-hosting.
It's a decentralized social network where:
* You run your own node: Your node is your sovereign territory. All your data lives with you.
* Your Ethereum address is your identity: We use EIP-4361 (Sign-In with Ethereum) for authentication. No more username/password juggling.
* There are no third-party dependencies: No relays, no hubs, no federated servers. Content is distributed peer-to-peer via a lightweight "notify-pull" protocol between nodes.
* All content is verifiable: Every piece of public content is signed and bundled with a "Proof of Source," a cryptographic receipt that proves who published what, and when.
This project is heavily inspired by the spirit of the early internet, but built with modern technology to make self-hosting feasible and accessible again.
It's still early days, and there's a long road ahead. To show you this is not just a demo, the code is now open source and we already have live nodes waiting for you to follow. The official project blog is at https://epress.blog, is an epress node, and you can also check out my personal node at https://garbin.blog.
I'm here all day to answer any questions and, more importantly, to listen to your feedback and critiques. For real-time support during setup or more immediate feedback, feel free to join our Telegram group: https://t.me/+mZMgNSIVy1MwMmVl
Whitepaper (for a deep dive): https://github.com/epressworld/epress/blob/main/docs/en/WHIT...
Video Demo: https://youtu.be/BB1Zn3oFDVc
Thanks for taking the time to check it out.

value: Show HN: A self-hosted social network where your Ethereum address is your ID

author: garbinhuang


value: Nick-Abbott

value:
Backend APIs often grow into large orchestration classes full of duplicated calls and manual concurrency.
I’ve been working on Mosaic, a Kotlin framework that composes responses out of small, request-scoped “tiles.” Each tile runs once per request, dependencies resolve automatically, and independent tiles execute in parallel without boilerplate.
It’s still early (v0.2.0), but working today for caching, concurrency, and testability. Curious to hear feedback on the approach.
GitHub: https://github.com/Nick-Abbott/Mosaic
Maven Central: org.buildmosaic:mosaic-core:0.2.0

value: Show HN: Mosaic – A Kotlin framework for cleaner back end code

author: Nick-Abbott


value: rlucato

value:
I built Artifex, a Python library to create task-specific LLMs for NLP and Text Classification, without training data. At the moment, only Intent Classification and Guardrail models are supported, but I'll be adding more soon based on users' feedback.
The reason I made this is that general-purpose LLMs are overkill for simple Text Classification tasks, and LLM APIs can get expensive quickly. On the other hand, fine-tuning an LLM for a specific task requires labelled data, which not everybody has.
That's why I created a library to train small, task-specific LLMs WITHOUT training data. You simply describe how the model should behave, and it will be trained on synthetic data generated for that purpose.
The models can run locally (without a GPU) or on small servers, offloading simple tasks and reducing reliance on third-party LLM APIs.
I am looking for any kind of feedback or suggestions for new model/tasks. Here is the GitHub repo: https://github.com/tanaos/artifex

value: Show HN: A Python lib to create task-specific LLMs for NLP without training data

author: rlucato


value:
What it is: A hacking agent you run from a web UI. It enumerates, exploits, validates, and drafts reports.
Why we built it: manual pentests are slow and scarce. We want repeatable coverage between human-led tests.
What is different: a validator agent replays PoCs to cut false positives. You can lock the agent to your own methodology to control scope and steps. You can also give it tasks to complete.
How to try: sign up, download the docker container, add a target, set rules, then run. Free credits on signup and no card required. Usage based pricing after that.
What it can do today: Pretty much any asset type including AD, web applications, and cloud.
Limits today: noisy targets and complex auth flows may need manual setup. It does not have the tooling for Wi-Fi pentesting or mobile apps.
What we want feedback on: where it breaks, missing integrations, and what would make this useful for your team.
For more information the website is: https://www.vulnetic.ai

value: Show HN: Vulnetic's multi-purpose hacking agent


value: panicbyte

value: Show HN: I built an app to declutter your camera roll with Tinder-like swipes

author: panicbyte