value: slogansand

value:
Hey HN, author here.
Loki Mode orchestrates specialized AI agents to take a PRD to deployed product with zero human intervention. But what I'm most proud of is the research foundation - we implemented virtually every scientifically proven pattern from the 2025-2026 AI agent literature.
From Anthropic:
Constitutional AI self-critique against principles
Building Effective Agents evaluator-optimizer pattern
Claude Code Best Practices explore-plan-code workflow
Visible Extended Thinking (think, think hard, ultrathink levels)
Effective Harnesses one-feature-at-a-time pattern
From DeepMind:
SIMA 2 self-improvement loops
Gemini Robotics hierarchical reasoning (planner + executor)
Scalable AI Safety debate-based verification
From OpenAI:
Agents SDK tracing, guardrails, tripwires
Deep Research adaptive planning with backtracking
AGENTS.md standardized instructions
From Academic Research:
CONSENSAGENT (ACL 2025): Blind review + Devil's Advocate when unanimous. 30% false positive reduction.
GoalAct: Global planning → skill decomposition → local execution. 12%+ success rate improvement.
A-Mem: Zettelkasten-style memory linking for episodic→semantic consolidation.
Multi-Agent Reflexion: Structured debate (Implementer → Skeptic → Advocate → Synthesizer).
Iter-VF: Verify answer only, not reasoning chain. Prevents context overflow.
From Industry:
NVIDIA ToolOrchestra: Three-reward signal (outcome/efficiency/preference), dynamic agent selection
AWS Bedrock: Routing mode for simple tasks, supervisor mode for complex
Boris Cherny's self-verification loop (2-3x quality improvement)
Simon Willison's sub-agents for context isolation
From HN discussions:
"Zero companies without human in the loop" → confidence-based escalation
Context curation beats automatic RAG
Fresh contexts yield better results
LLM-as-judge has shared blind spots → deterministic validation
The full acknowledgements with links to every paper/resource: https://github.com/asklokesh/claudeskill-loki-mode/blob/main...
Run: claude --dangerously-skip-permissions then "Loki Mode with PRD at path/to/prd"
Happy to discuss any of the research or architecture decisions.

value: Show HN: Research-Backed Multi-Agent System for Autonomous Development

author: slogansand


value: gwthm

value: Show HN: Skip-O-Matic–Open-source hands-free YouTube ad skipper for safe driving

author: gwthm


value: abliterationai

value:
I built a dedicated roleplay chat UI for abliteration.ai: https://abliteration.ai/roleplay
The backend is OpenAI-compatible (/v1/chat/completions), with usage-based pricing and no prompt/output retention by default (details on the site). The UI is meant for long-form character chats and interactive fiction, without needing a local frontend.
Docs (including a roleplay backend guide and a SillyTavern integration guide):
https://abliteration.ai/docs
Would love feedback on missing RP features, UX rough edges, and what you would expect from a roleplay-first interface.

value: Show HN: Roleplay-first chat UI for an OpenAI-compatible chat completions API

author: abliterationai


value: jannesblobel

value:
Hi HN, Martin, Nils, and Jannes here.
We are building Legit, an open source version control and collaboration layer for AI agents and AI native applications.
You can find the repo here https://github.com/Legit-Control/monorepo and the website here https://legitcontrol.com
Over the last years, we worked on multiple developer tools and AI driven products. As soon as we started letting agents modify real files and business critical data, one problem kept showing up. We could not reliably answer what changed, why it changed, or how to safely undo it.
Today, most AI tools either run without real guardrails or store their state in proprietary databases that are hard to inspect, audit, or migrate. Once agents start collaborating on shared data, you are often just crossing your fingers and hoping nothing goes wrong.
We noticed something interesting. Developers do not have this problem when collaborating on code, and agent like workflows took off there first. The reason is relatively simple. Git already solves coordination, history, review, and rollback.
That insight led us to build Legit. We bring Git style versioning and collaboration to AI applications and to most file formats. Every change an agent makes is tracked. Every action is inspectable, reviewable, and reversible. No hidden state. No black box history.
Legit works as a lightweight SDK that AI apps can embed anywhere the filesystem works. It handles versioning, Sync, rollback, and access control for agens. Everything lives in a repository that you can host yourself or on any Git hosting provider you already trust.
We believe the right way to scale AI collaboration is not to hide what agents do, but to let developers and users see, review, and control every change. Legit is our attempt to bring the discipline, visibility, and safety of modern developer workflows to write enabled AI applications.
Give it a spin: https://github.com/Legit-Control/monorepo  and let us know your feedback, criticism, and thoughts.

value: Show HN: Legit, Open source Git-based Version control for AI agents

author: jannesblobel


value: Show HN: Fzf-navigator, a terminal file system navigator


value: yehors

value: Show HN: Fast (0.5 GB/SEC) dedup utility for the era of LLMs written in C23

author: yehors


value: Show HN: CallMe – Minimal plugin that lets Claude Code call you on the phone


value: nsomani

value:
Hi HN, I built this side project earlier this week. It executes an English auction on Solana with a reserve price of 0.1 SOL. Auction winner gets control of a Codex editor. Auction losers get refunded (minus a <$0.01 processing fee). The Codex agent operates in a sandbox and can only output HTML/JS/CSS.
The project is open-source: https://github.com/neelsomani/the-daily-auction

value: Show HN: A website that auctions itself daily

author: nsomani


value: nickponline

value:
I deal with a lot of geometry stuff at work with computer vision and photogrammetry, which usually comes from the real world. It's seldom clean and neat, and I'm often trying to find a way to "make it nice" or "make it pretty". I've always struggled with what that really means formally.
That led me to shape regularization (a technique used in computational geometry to clean up geometric data). CGAL had implemented a few methods for that, but there are more ways to do it, which I thought were nice. Also I typically work in Python, so it was nice to have a pure Python library could handle this.
I struggled to get the first version working as a QP. At a high level most of these boil down to minimizing a cost A + B where A is the cost associated the geometry and goes up the more you move it, and B is the cost associated "niceness" or rather the constraints you impose, and goes down the more you impose them. Then you try and minimize A + B or rather HA + (1-H)B where H is a hyper-parameter that controls the relative importance of A and B.
I needed a Python implementation so started with the examples implemented in CGAL then added a couple more for snap and joint regularization and metric regularization.

value: Show HN: Various shape regularization algorithms

author: nickponline


value: jedwhite

value:
I wanted to run markdown files like shell scripts. So I built an open source tool that lets you use a shebang to pipe them through Claude Code with full stdin/stdout support.
task.md:

    #!/usr/bin/env claude-run

    Analyze this codebase and summarize the architecture.

Then:

    chmod +x task.md

    ./task.md

These aren't just prompts. Claude Code has tool use, so a markdown file can run shell commands, write scripts, read files, make API calls. The prompt orchestrates everything.
A script that runs your tests and reports results (`run_tests.md`):

    #!/usr/bin/env claude-run --permission-mode bypassPermissions

    Run ./test/run_tests.sh and summarize what passed and failed.

Because stdin/stdout work like any Unix program, you can chain them:

    cat data.json | ./analyze.md > results.txt

    git log -10 | ./summarize.md

    ./generate.md | ./review.md > final.txt

Or mix them with traditional shell scripts:

    for f in logs/\*.txt; do

        cat "$f" | ./analyze.md >> summary.txt

    done

This replaced a lot of Python glue code for us. Tasks that needed LLM orchestration libraries are now markdown files composed with standard Unix tools. Composable as building blocks, runnable as cron jobs, etc.
One thing we didn't expect is that these are more auditable (and shareable) than shell scripts. Install scripts like `curl -fsSL <a href="https://bun.com/install" rel="nofollow">https://bun.com/install</a> | bash` could become:

    `curl -fsSL https://bun.com/install.md | claude-run`

Where install.md says something like "Detect my OS and architecture, download the right binary from GitHub releases, extract to ~/.local/bin, update my shell config." A normal human can actually read and verify that.
The (really cool) executable markdown idea and auditability examples are from Pete Koomen (@koomen on X). As Pete says: "Markdown feels increasingly important in a way I'm not sure most people have wrapped their heads around yet."
We implemented it and added Unix pipe semantics. Currently works with Claude Code - hoping to support other AI coding tools too. You can also route scripts through different cloud providers (AWS Bedrock, etc.) if you want separate billing for automated jobs.
GitHub: https://github.com/andisearch/claude-switcher
What workflows would you use this for?

value: Show HN: Executable Markdown files with Unix pipes

author: jedwhite


value: cui

value: Chris Wiles showcased his setup for Claude Code and I thought it was sick. So I adapted it for Django projects. Several skills have been added to address the pain points in Django development.

value: Show HN: Claude Code for Django

author: cui

title: Show HN: Claude Code for Django


value: ixugo

value:
*Owl*: https://github.com/gowvp/owl
*Demo*: http://gowvp.golang.space:15123 (admin/admin)
I started building this in late 2024 after getting frustrated with existing NVR options. Most are either bloated enterprise software or don't handle protocols like GB28181 well.
Owl is written in Go and supports:
- GB28181 (2022/2016/2011) - widely used in Asia
- ONVIF device discovery
- RTSP/RTMP streams
- YOLO-based object detection
The goal is a lightweight, self-hosted camera platform that runs on anything from a Pi to a NAS.
Next up: HomeKit integration and recording.
Looking for feedback on the architecture and feature priorities.

value: Show HN: Owl – Golang NVR with GB28181/Onvif Support and YOLO Detection

author: ixugo


value:
Hey HN!
I've been needing to do a better job of staying in touch with the people who are important to me. So I built a little app that lets me add people to call, and tells me when I last called them. I figured some of you might find this useful in some way :)
The code is here: https://github.com/mrkaye97/call-your-loved-ones
If you go to the URL linked in the post, you can use the app with all of the data stored in local storage, so no account needed and no data going to my server.

value: Show HN: Call Your Loved Ones

title: Show HN: Call Your Loved Ones


value: iZakirSheikh

value:
Hey everyone!
I wanted a music and video player that felt native to modern Android, so I built OnePlayer. It’s designed to be lightweight, fully offline, and highly customizable.
Key Features:
1. Material 3: Full dynamic color support (Android 12+).
2.  Customizable: Change layouts and UI configurations to fit your style.
3.  Audio Power: Built-in Equalizer and background playback.
4.  Gesture Control: Intuitive touch gestures for volume, brightness, and seeking.
5.  Smooth UI: Focused on fluid animations and an "intuitive" feel.
Note on FOSS: It is currently closed source while I stabilize the build, but I am planning to release a FOSS (Free and Open Source) version alongside a Pro version soon! I’m not a native English speaker, so I used some AI help to polish this post. I’d love to hear your thoughts on the UI or any bugs you find!
Download - https://play.google.com/store/apps/details?id=com.googol.and...

value: Show HN: I built OnePlayer: A lightweight, Material 3 offline player

author: iZakirSheikh


value: observerw

value:
AI coding agents today use grep/ripgrep for code search. This fails on real codebases: can't find references across modules, can't preview refactorings, can't understand code structure. LSP (Language Server Protocol) solves this for human IDEs. But existing agent integrations (Serena, cclsp, Claude Code LSP, etc.) just expose raw LSP endpoints—agents need 10+ round trips to get usable answers.
We built lsp-skill for this: https://lsp-client.github.io/
Three-layer design:
- lsp-client: Robust LSP client (handles server lifecycle, protocol edge cases, multi-workspace)
- LSAP (Language Server Agent Protocol): Agent-optimized protocol (composes LSP primitives into high-level operations)
- Skill layer: Integrates with Claude Code, Cursor, MCP-compatible tools
try it:
- Docs: https://lsp-client.github.io/
- GitHub: https://github.com/lsp-client/lsp-skill
- Install: Works with Claude Code, Cursor, or any MCP tool

value: Show HN: LSP Skill – IntelliSense for Coding Agents That Works

author: observerw


value:
Hi HN,
One pattern we kept seeing while working on usage-based billing was commitment-style contracts.
Teams would sell deals with a minimum monthly spend, charge real usage against it, apply higher rates for overages, and then manually true-up shortfalls at invoicing. Most billing systems don’t model this cleanly, so it ends up as custom code or finance-side adjustments.
We added first-class support for commitments in Flexprice.io :
• Define a minimum spend per billing period
• Apply an overage multiplier when usage exceeds it
• Automatically true-up shortfalls if usage comes in below commitment
All of this is handled at the subscription and invoice level without manual reconciliation.
Curious how others here have implemented commitments or minimum guarantees in usage-based systems, and what edge cases we might be missing.
If you would like to jump in-depth, we also have a open-source community and would love to see you there: http://bit.ly/4huvkDm
Happy to answer questions.

value: Show HN: A commitment model for usage billing


value:
Hi HN,
I built Layoffstoday, an open platform that tracks tech layoffs across ~6,500 companies.
What it does:
Aggregates layoff events from public news sources
Normalizes data by company, date, industry, and affected headcount
Shows historical patterns instead of isolated headlines
Why I built it:
During job transitions, I noticed people had to jump across news articles, spreadsheets, and social posts just to answer simple questions like “Has this company laid people off before?” or “Is this happening across the industry?”
This is an attempt to make that information structured, searchable, and accessible.
Would love feedback on:
Data accuracy / gaps
Signals that would actually help job seekers
Whether alerts or trend indicators are useful or noisy

value: Show HN: Layoffstoday – Open database tracking for 10k Companies


value: EschatonCometh

value:
I built an AI assistant that runs completely in your browser using WebGPU. After the initial model download (~200MB-4GB depending on model choice), it works offline. No API keys. No subscriptions. No data leaves your device.
Browser-based local AI addresses this:
1. Works offline after first load – Local AI makes possible offline AI use. Resilience – Work continues even during outages. Affordability – No recurring cloud or bandwidth costs. Privacy – Data stays on the device, reducing exposure risks.
2. No paywall or subscription – Removing or reducing paywalls on essential AI tools is crucial. Promoting open-source AI platforms provides powerful tools to everyone at no cost, democratizing access to AI technology.
3. Democratizes creative tools – AI tools have the potential to democratize creative processes, making art and design tasks more accessible to individuals without traditional expertise. AI tools can act as equalizers, providing non-professional users with the means to execute complex projects and bring their visions to life.
4. Privacy for sensitive use cases – AI is an alternative way to empower and democratize the access to creative tools and resources by making it easier for individuals with varying levels of artistic skill or expertise to engage in creative expression.
What it does:
Text chat – Switch between 10+ models (SmolLM-360M to Llama 3.2 8B)
Vision – Webcam/screen share analyzed by SmolVLM-256M running locally
Voice – Whisper speech recognition (VAD-powered hands-free mode)
TTS – Browser-native text-to-speech
Image generation – SD Turbo via ONNX Runtime (experimental)
Research mode – Multi-step research with optional web search
Deep thinking – Chain of Thought, Tree of Thoughts, Reflexion modes
Requirements:
Chrome 113+, Edge 113+, Safari 26+
4GB+ GPU memory for larger models
One-time download, then cached/offline

value: Show HN: Open-source multimodal AI that runs in the browser

author: EschatonCometh


value:
The Morning Struggle:
Every night you promise yourself you'll wake up early, be productive, start that workout, finally tackle your goals. But morning comes and that alarm? It's just noise. You hit snooze, roll over, and another day slips away. You're not lazy - you're just tired of being tired.<p>The WakeCall Solution:
What if your wake-up call felt like a friend who genuinely cares about your success? Someone who knows your name, your goals, and believes in you? Our AI doesn't just wake you up - it connects with you, motivates you, and starts your day with purpose.

value: Show HN: I built an AI that calls you until you wake up


value: kotekaman

value: Show HN: ApiTap – Stream APIs to any Data Warehouse with SQL (Rust + DataFusion)

author: kotekaman


value: changhoi

value:
I built a simple tool called mcproxy to solve a specific frustration I had with Claude Code with MCP
I use Linear MCP that has so heavy context and I only use issue related tools in the MCP. So I want to opt out some tools like Antigravity.
I also know about MCP Gateway services, and claude code's defer loading feature. But those are not my case. I want simple solution works in my local. (If you know more good solutions for this, let me know please!)
`mcproxy` acts as a simple middleware something between your MCP client and the server. And this is just opensource work.

value: Show HN: Mcproxy – Filter unused MCP tools to save context in Claude Code

author: changhoi


value: DigitalSea

value: I call it askbad. It originally started out as a satire of StackOverflow where the worse answers are voted up instead of the best ones (although you could debate the worse answers still get upvoted over there anyways). I wanted a fun project to build that wasn't AI for once, just a fun little app. It's a single page application with very few dependencies, Tailwind for the styling. I've been testing it with some friends for a while and it's a bit of fun.

value: Show HN: I built a Q&A platform for bad advice

author: DigitalSea


value: Roozka

value:
I'll bully your landing page, rewrite your copy, and make people actually click the button. You fix it and make more money
Clear copy = more clicks = more $$$

value: Show HN: Website is ugly. Let's roast it

author: Roozka


value: nmczzi

value:
Hi HN! I built Image Scaler because I was frustrated with existing free online image tools. They either limit batch processing to a handful of images, require login/registration, or add watermarks. And they usually upload your images to unknown servers.
I originally made this for myself when I needed to resize large batches of product photos. I wanted something fast, lightweight, and privacy-respecting that could handle real workflow volumes without artificial restrictions.
What makes it different:
- Complete client-side processing using Canvas API, so images never leave your browser
- Batch processing up to 60 images simultaneously (most free tools cap at 3-10)
- No login, no watermarks, no usage limits
- Traditional interpolation algorithms (nearest-neighbor, bilinear, bicubic) instead of AI black boxes
- Supports JPG, PNG, and WebP
- Fast and lightweight (built with vanilla JavaScript)
Technical notes: The entire processing pipeline runs in your browser's Canvas API. There's no server upload step, which eliminates privacy concerns and makes it surprisingly fast even for large batches. I chose traditional algorithms over AI because they're transparent, predictable, and work well for most use cases (pixel art, web images, photo preparation).
Feel free to try it out: https://image-scaler.com

value: Show HN: Image Scaler – Privacy-focused image resizing with 60-image batches

author: nmczzi


value: anhldbk

value:
Ever needed to send a file to someone standing right next to you, but didn't  want to use email or a cloud server?
Check out Beam. It turns your screen into a data stream, allowing you to transfer files securely to another device using just your camera. It works completely offline, meaning your data never leaves the room.
Simple, secure, and surveillance-free.
Give it a try: https://get-beam.vercel.app

value: Show HN: Beam – The most private way to share files

author: anhldbk


value: surgesoft

value:
Hey HN! Built a template for distributing AI agent skills via npm.

  Problem: AI coding tools (Claude Code, Cursor, Windsurf) support custom
  "skills" but distribution is manual - copy files to ~/.tool/skills/,
  repeat for updates, no versioning.

  Solution: Standard npm packages with lifecycle hooks:
    npm install -g @org/my-skill
    npm update -g @org/my-skill

  Benefits:
  - Semantic versioning (^1.2.0 for auto-updates)
  - Private registries for enterprise
  - Standard CI/CD integration
  - Discoverable on npmjs.com

  It's a GitHub template - fork, customize SKILL.md, publish. Works
  across Claude Code, Cursor, Windsurf, and compatible tools.

  Repo: https://github.com/RaoHai/agent-skill-npm-boilerplate

  Curious if others have solved this differently?

value: Show HN: Distributing AI agent skills via NPM

author: surgesoft


value: hfmsio

value:
I built an open-source SQL workbench for DuckDB that runs in two modes:
1. Native mode as a replacement UI for `duckdb -ui` with full local DuckDB
2. Browser mode as a standalone DuckDB WASM app with zero install
Quick start
# Option A: Use with local DuckDB
npx dbxlite-ui
# then:
export ui_remote_url="http://localhost:8080" && duckdb -unsigned -ui
You can also point DuckDB directly at the hosted UI without installing anything:
export ui_remote_url="https://sql.dbxlite.com" && duckdb -unsigned -ui
Or just use the browser-only version:
https://sql.dbxlite.com
Why
DuckDB’s built-in UI is solid. I wanted something that fit my workflow better with richer schema exploration, multiple themes, and a more capable results grid for visualizing complex and nested data structures.
Features
- Query CSV, Parquet, Excel, JSON from local files or URLs
- Monaco editor with autocomplete
- Schema explorer optimized for nested data
- Grid-based results view designed for complex data
- Global search across schemas, tables, and columns
- Browse, install, and manage DuckDB core and community extensions from the UI
- Export results to Parquet, CSV, JSON
- 10 color themes
In server mode you get full native DuckDB with extensions, filesystem access, and no memory limits.
In WASM mode everything runs entirely in the browser and data never leaves your machine.
GitHub: https://github.com/hfmsio/dbxlite
npm: https://www.npmjs.com/package/dbxlite-ui
Feedback and ideas welcome.

value: Show HN: An Alternative UI for DuckDB

author: hfmsio

title: Show HN: An Alternative UI for DuckDB


value: harperhuang

value:
Hi HN,
I rebuilt my side project into a small “all-in-one” image toolbox: https://imagesplitter.tools
The part I’m most proud of (and personally use the most) is the collage workflow:
1. Grid collage (templates + merge cells for “one big + many small” layouts)
2. Long-image stitching (great for screenshots / step-by-step guides / chat logs)
3. Freeform collage (DIY your own grid layout — split/merge cells however you want — then apply that layout to the grid collage)
My motivation was pretty simple: I kept bouncing between different sites for basic image chores, and many of them add watermarks, require login, or feel sketchy for privacy. So I made this with a few strict rules:
1. Free, no watermark
2. Privacy-first: processing happens locally in the browser (no upload/storage)
Besides collages, it also includes common utilities I often need:
crop (free/aspect/circle/shape), grid split + ZIP export, batch convert (JPG/PNG/WebP/ICO…), compress, images→GIF, text/markdown/html→image, QR generate/decode, color picker, image info, etc.
I’d really love feedback:
1) What’s the most annoying part of making collages / long images?
2) Any “must-have” features you’d expect for this kind of tool?
Thanks for taking a look — happy to iterate based on your comments.

value: Show HN: An all-in-one image crop/split/collage tool (no uploads, no watermark)

author: harperhuang


value: moshetanzer

value:
Hi HN,
I’m experimenting with commit-based code review as an alternative to PR-based review.
Instead of analyzing large PR diffs, this reviews each commit incrementally, while context is still fresh. It’s fully configurable and intentionally low-noise, high signal - focused on catching issues that tend to slip through and compound over time.
The goal isn’t to replace CI or PR review, but to move some feedback earlier:
risky changes hidden in small diffs
architectural or consistency drift
performance or security footguns
Happy to answer questions

value: Show HN: Commit-based code review instead of PR-based

author: moshetanzer


value: SamPerson

value:
Hi HN,
I’ve released GoPico v1.0, a native Android app for running PICO-8 carts locally, with a focus on minimizing startup time, input latency, and rendering overhead compared to browser-based players.
The app executes carts on-device and is optimized specifically for mobile hardware.
Current scope:
~350 curated carts used for compatibility and performance validation
No ads, no accounts, no monetization
First public release
Planned next steps:
Physical controller support
Tuning for handheld devices
Broader compatibility and performance testing
If you try it, feedback is especially useful if it includes:
Device model and Android version
Any crashes, inaccuracies, or performance regressions
Game List:
https://paste.rs/vVrKl.md
Community Discord(for bug reports):
https://discord.gg/vRzyKKS9VY

value: Show HN: GoPico – a native Android retro(PICO-8) games player

author: SamPerson


value: cbrun

value: Completely rebuilt this app from the ground up following feedback from non-native speakers who shared that they wanted help improving the audio quality of their screen recordings. Stripe isn't even setup, so this is really about getting feedback from folks that want auto script generation and auto narration of their screen recordings. Thanks!

value: Show HN: AI-first screen recorder to create videos in perfect English

author: cbrun


value: rinvi

value:
I have 1,323 bookmarks and exactly 2 tags so I created raindrip to fix my organizing skills in Raindrop.io.
After I threw an AI agent at the problem with raindrip, all my bookmarks were sorted nicely into folders and now I have 17 tags.
If you trust AI enough to sort your bookmarks, give it a try:
https://github.com/rinvii/raindrip
Technical details:
- Built with uv
- TOON by default (https://github.com/toon-format/toon)
- 99% test coverage and readable API error messages to help AI vibe it out

value: Show HN: Raindrip – AI-Friendly CLI for Raindrop API

author: rinvi


value: intaek

value:
I'm a Software Engineer who loves typography.
I love to dig fonts but none of the services satisfied my taste.
I wanted a program that:
- has an intuitive GUI
- let's you install fonts very easily (either with file or code)
- let's you swap elements with different fonts
- let's you detect the font actually displayed
So I built it myself. It's free, and no sign-in.
You can install it on Mac App Store:
https://apps.apple.com/app/id6757154893

value: Show HN: Swap fonts on live websites in real-time

author: intaek


value: darknightrealm

value: Show HN: Gosh-dl an embeddable download engine for Rust

author: darknightrealm


value: csomar

value: Show HN: Online 3-Way diff and merge conflict resolver

author: csomar


value: seckindurasi

value: Show HN: FnPrompt – AI Prompt Architect Ecosystem (VS Code, CLI, Chrome, Web)

author: seckindurasi


value: yusufnb

value:
It’s early (beta) and still evolving. Documentation still in the works.
Looking for honest feedback from developers on what’s useful, missing, or unnecessary. Email me at sleekcms.com .

value: Show HN: SleekCMS – A Headless CMS for developers who usually hate CMSs

author: yusufnb


value: todaycompanies

value: Show HN: Workzonespeedingticket.com – Automating disputes for automated fines

author: todaycompanies


value: Show HN: I built an AI tool to fight NYC's new "Acoustic Camera" tickets ($800)


value: adamfontan

value:
Wall Street pays up to $3k/mo for terminals.
They have access to better & faster datea, that's why they win.
The playing field is changing...
We built a Wall Street terminal for independent traders and investors.
Real-time breakouts, smart money tracking, AI-powered analysis, Congress trades...
All in one place, at a fraction of the cost.

value: Show HN: A Wall Street Terminal for Everyone

author: adamfontan


value: cat-whisperer

value: Show HN: Ever wanted to look at yourself in Braille?

author: cat-whisperer


value: jamescampbell

value:
LTX Video Generator is a beautiful, native macOS application built with SwiftUI. It harnesses the power of Apple Silicon to generate AI videos directly on your Mac using the LTX-Video model from Lightricks.<p>Key Features
Apple Silicon Optimized - Leverages Metal Performance Shaders (MPS) for fast GPU-accelerated generation
Intuitive Interface - Clean, native macOS design that feels right at home
Generation Queue - Queue multiple videos and track progress in real-time
Smart History - Browse, preview, and manage all your generated videos with thumbnails
Flexible Presets - Quick access to common configurations or customize every parameter

value: Show HN: LTXMac a native Mac app to do text to video generation

author: jamescampbell


value: UgOrange

value:
I've been doing a lot of "vibe coding" with Claude Code lately. It’s powerful, but I found myself constantly waiting for it to finish analyzing or writing code before I could start another task.
In a typical workflow, I often need to work on the frontend and backend simultaneously, or handle multiple microservices. Opening multiple terminal tabs and managing them manually was a mess.
I built vibemux to solve this. It’s a simple TUI that orchestrates multiple Claude Code instances (or any CLI-based AI agent). It allows me to:
Run multiple tasks in parallel without context switching between tabs.
Keep my workspace organized in a single view.
Maximize productivity when the AI is processing long-running tasks.
It’s lightweight and written in Go. Would love to hear your thoughts or how you're managing multiple AI sessions in your workflow!
Repo: https://github.com/UgOrange/vibemux

value: Show HN: Vibemux – Run multiple Claude Code instances in one TUI

author: UgOrange


value: detectivestory

value: Show HN: Learn New Vocabulary Contextually through Daily Images

author: detectivestory


value: Show HN: A small system monitor for Mac, based on the classic IRIX gr_osview


value: lolzenom

value: Show HN: A permanent digital billboard where communities fight for territory

author: lolzenom


value:
I’ve been working on an extension system for the Titan Planet runtime, and this is the first public release of titanpl-sdk. It lets developers add capabilities to Titan without modifying the core server or relying on Node.js.
Current features:
• Scaffold a new extension with titan create ext <name>
• Local test/run workflow powered by titanpl-sdk
• Publish extensions to npm
• Titan runtime automatically detects and loads installed extensions (zero config)
• Supports pure JavaScript extensions or hybrid JS + Rust-backed ones
• Simple APIs for exposing functions, validators, handlers, etc.
Repos:
• Extension template: https://github.com/ezet-galaxy/titanpl/tree/main/templates/e...
• SDK: https://github.com/ezet-galaxy/titanpl/tree/main/titanpl-sdk
• Example extension (validation): https://github.com/Yom-Roy/-titanpl-valid
I’m looking for feedback from people who’ve built plugin systems or worked on JS engines(v8)
If you have questions or want to explore further, the Titan Atmosphere community is here:
https://titan-docs-ez.vercel.app/community
Would appreciate architectural feedback, critiques, or ideas on where this should go next.

value: Show HN: Titanpl-SDK – Create, test, publish, and auto-load extensions in Titan


value: breezenik

value: Show HN: UCP – A file-system protocol to fix AI amnesia

author: breezenik


value: kmelkumyan

value:
Hi HN,
I’ve been working on a small research prototype called Epistemic Motion Engine (EME).
The idea is simple: instead of treating an LLM answer as a verdict, treat reasoning as a process you can observe.
Given a prompt (decision, claim, plan, or messy situation), EME runs the model through a sequence of small, controlled perturbations: assumption stress-tests, counterfactual shifts, and alternating consolidation vs. challenge. It records what stays stable, what breaks, where uncertainty grows, and what evidence would actually change the direction.
The output is a trace you can inspect. There are no hard-coded reasoning rules and it’s model-agnostic. The goal is not to “improve” answers, but to make uncertainty and load-bearing assumptions visible.
This is an early research prototype, not a product. I’m especially interested in failure modes: where this adds signal vs. where it’s just noise or model artifacts.
Public demo (no login, uses real models):
https://eme.eagma.com
I’d appreciate blunt technical feedback, especially from people working on evals, interpretability, or reasoning under uncertainty.

value: Show HN: EME – making LLM reasoning inspectable via controlled perturbations

author: kmelkumyan


value: You can think of it as a memory toolbox. Memory is stored not only as vectors, but also as readable natural language, so everything you save remains visible. When needed, the system retrieves relevant memories and makes them available for reasoning.

value: Show HN: Store whatever you decide to remember


value: felixde

value:
Hey HN,
I built Momento, an iOS app that lets you search your photo library using natural language.
I started working on this because I was frustrated with Apple Photos search (especially when I did not remember when or where I made the photo) and it often took a lot of time to find a specific old photo.
Momento performs a one-time local index of your photo library and then lets you search using queries like “woman with red hair and a dog by the river”. It returns matching photos from your library.
All processing happens on-device using Core ML. Photos aren’t uploaded anywhere, and search works offline. It's Apple-only for now.
I initially built this for myself, showed it to a few friends, and after getting feedback decided to polish it and release it publicly.
The app is freemium, free to use for the most recent year of photos with the fastest model and a paid unlock for the whole library and more accurate models.
As this is the first public version I'd love to have feedback on UI/UX as well as search quality and your overall opinion on this.
Thank you,
Felix

value: Show HN: On-device natural language search for your iPhone photos

author: felixde


value:
I recently developed a free MP4-to-MP3 converter that allows uploading MP4 files up to 4GB in size and quickly converts them to MP3 format for export.
It runs directly in your browser without requiring downloads or logins, while ensuring audio quality and cross-device compatibility during conversion.
I'd love to hear your feedback on the conversion process, user experience, or potential technical improvements!

value: Show HN: A free MP4 to MP3 converter

title: Show HN: A free MP4 to MP3 converter


value:
Hi HN — I’m the founder of Zaph.
Zaph automatically drafts async standups from real work productivity tools, so engineers don’t have to context switch just to write updates. The draft arrives privately and you just approve it.
We’re going live in ~30 days and opening early access now.
I’d love feedback from teams that’ve tried async standups or struggled with daily status updates.
Happy to answer any technical or product questions.

value: Show HN: Zaph – Your standup writes itself (async standups from real work)


value:
Hi, I'm Luke. A few days ago, I published my e-book called "How I Made My First Sales in 14 Days."
All the knowledge I put there comes from:<p>- my own product, Pages.Report
- many networking calls with much more experienced founders
- analyzing indie hacker projects<p>I would love to hear some feedback from you.

value: Show HN: Analyzed 500 SaaS products, created my owns now sharing e-book


value:
I put together a simple AI-based tool for improving image quality.
You upload a photo, and it outputs a cleaner version with better sharpness and resolution, while keeping the original structure intact. It’s aimed at everyday images that need a quick fix rather than full editing.
Everything runs in the browser.
I’m mainly interested in feedback on output quality, UX, and any technical improvements worth exploring.
Link: https://aienhancer.ai/

value: Show HN: A free AI image enhancer that fixes "almost usable" photos in seconds


value: covibes

value: Next gen Ralph Wiggum loop that ensures production-grade code and feature completeness autonomously by harnessing agent clusters.

value: Show HN: Autonomous engineer teams for Claue Code.

author: covibes


value: btwnplaces

value: Show HN: How thinking about death made things feel lighter

author: btwnplaces


value: alphatesterguy

value:
Hi HN
I built iKrypt after realizing how often passwords, API keys, and other sensitive info still get shared over Slack DMs or email with “I’ll delete it later”.
iKrypt is a zero-knowledge, one-time secret sharing tool:
- Secrets are encrypted in the browser
- The server stores only ciphertext
- The decryption key lives only in the URL fragment (never sent to the server)
- Links expire by time or view count
- Optional email notification when a link is first opened
This is intentionally not a password manager or vault — it’s for quick, one-off handoffs where you don’t want sensitive data living forever in chat history.
Built with:
Next.js (App Router)
Web Crypto (AES-GCM)
Server-side expiry & view enforcement
Live here: https://ikrypt.com
Would love feedback on:
the encryption model
wording/claims around “viewed vs opened”
whether this solves a real problem for you, or what’s missing
Thanks for checking it out

value: Show HN: iKrypt – send a secret once (the key never hits our server)

author: alphatesterguy


value: srijxn

value:
Hi HN,
I built HNFlow, a modern and lightweight Hacker News client using React Native + Expo.
The goal was to create a clean, fast, and distraction-free way to browse Hacker News with:
- Advanced search and filters (powered by the Algolia API)
- Threaded, collapsible comments
- Dark, minimal UI
- No ads, no tracking, no data collection
- Fully open-source
The app supports browsing Front Page, Ask HN, Show HN, Jobs, Polls, Stories, and Comments.
It’s currently in Play Store testing and will be available to testers soon, and I’d love feedback on performance, UI, and overall usability.
GitHub:
https://github.com/srijxnnn/hnflow
Join testing:
hnflow-testers@googlegroups.com
Thanks for checking it out — happy to answer any questions!

value: Show HN: HNFlow – A modern, open-source Hacker News client for Android

author: srijxn


value: fullstackragab

value:
I wrote a short book focused on the real-world architecture of Solana USDC payments in React.
It avoids theory and focuses on:
• transaction trust models
• wallet vs app responsibilities
• confirmation strategies
• production-ready payment flows
I wrote it after seeing many payment integrations fail due to incorrect assumptions.
Looking for feedback from developers who’ve built or reviewed payment systems.

value: Show HN: A practical guide to building Solana USDC payments in React

author: fullstackragab


value: modinfo

value: Show HN: Classic NES Tetris as a REST API, Written in Rust

author: modinfo


value: theocastillo

value: Show HN: VeridisQuo – open-source deepfake detector with explainable AI

author: theocastillo


value: rankiwiki

value:
https://rankiwiki.com
Hi HN, I run a small site called Rankiwiki after noticing how fragmented rankings and opinions become across languages.
Rankiwiki lets people vote on and explore rankings across different topics while keeping all languages in a single feed. Instead of separating content by country or translation, posts are grouped by writing system so users can quickly filter what they can read without breaking layout or pagination.
A recent focus has been improving clarity for first time visitors. I added a lightweight onboarding guide to explain what the site is and how to navigate it, without blocking interaction or requiring signup.
The project is still early and mostly an experiment in handling content dense, multilingual interfaces.
I’d really appreciate feedback, especially around usability, language handling, and whether the purpose is clear on first visit.

value: Show HN: Rankiwiki a multilingual community ranking site

author: rankiwiki


value: akopich

value: Show HN: Woid – High-performance C++ type erasure and polymorphism library

author: akopich


value: akhnid

value:
Gitmore (https://gitmore.io) – dev visibility for the people who don't live in GitHub.
So I built a tool to do it automatically.
*Connect your repos. Ask questions:*
- "What shipped this month?"
- "What's blocking the release?"
- "Who worked on payments?"
Plain English answers from your commit history.
*Automated reports:*
Schedule weekly or monthly summaries. Delivered to Slack or email.
- Features shipped
- Bugs fixed
- Who contributed
Founders can forward to investors. No more translating Git into business speak.
*Works across platforms:*
GitHub, GitLab, Bitbucket – one dashboard.
*Other features:*
- Slack bot: Non-technical team members can ask questions directly
- Contributor stats
*Security:*
Webhooks only. Every event normalized into a standard schema – message, description, author, timestamp, files changed.
We store metadata. Never source code.
- Token encryption: Fernet (HMAC-SHA256 + AES-128-CBC)
- Webhook verification: HMAC-SHA256
- 2FA support
Verify by checking your repo's webhook settings after connecting.
Free for 1 repo: https://gitmore.io

value: Show HN: The dev dashboard I built for my non-technical co-founder

author: akhnid


value: nirvanist

value: Show HN: Clean HTML for Semantic Extraction

author: nirvanist


value: KoeppyLoco

value:
Hi HN,
I built a small open-source CLI called CAML-Lint that validates and explains
JSON adventure / quest data used in games and simulations.
It’s meant to catch practical issues like:
- duplicate IDs
- broken references
- unreachable content patterns
- name/type mismatches (e.g. “negotiation” marked as combat)
The goal is to help tool builders and indie devs debug narrative logic
without replacing Ink/Yarn/Twine, Unity, VTTs, or existing pipelines.
Repo + examples:
https://github.com/<you>/caml-lint
npm:
npm install -g caml-lint
Happy to answer questions or take feedback.

value: Show HN: CAML-Lint – a linter for narrative/quest JSON used in game design

author: KoeppyLoco


value: rixed

value:
Hello HN!
I'm building an umbrella-app for many network-related tools I've accumulated.
The architecture: A fleet of programmable probes run tests and forward all traffic sent/received to a service that analyses it.
So far so good.
I'm unsure of the UI though.
I like (isometric) maps more than the usual dashboards to display data, therefore I'm trying to design the app around that.
For the layout, I throw all possible info into a custom optimizer.
As the number of edges in the graph grew (currently about half a million), ideas that seemed to work fine initially started to fall apart and the layout and representation of this graph has become a major source of frustration and disappointment.
I've been running this UI experiment with a single traceroute-like measurement between several datacenters.
Don't look too closely at the numbers as most of the actual computations are not implemented properly yet.
I'm not worried about that, I'm worried about the UI.
I have other ideas of representation but web front-end takes an awful lot of time and quite frankly that's not my specialty.
If you could have a look at that demo and picture what I'm trying to achieve despite the rough edges, and tell me what you think of this approach, I'd really appreciate it.
(but please take turns as it's all running on a single old server :))
Interesting? Boring? Hopeless? Déjà vu?

value: Show HN: CloudyWithAChanceOfLatency: testing the water for a net monitoring app

author: rixed


value: francisofascii

value: This is an episode guessing game using Star Trek: The Next Generation (TNG) episode images as clues. This game has been a side project for a few years now. Finally got it to a point that it is worth showing.  Hope you experiance some nostalgia and find some enjoyment out of it.  Inspired by framed.wtf

value: Show HN: Star Trek: The Next Generation Episode Guessing Game

author: francisofascii


value: olivefu

value:
Years ago there was a small Flash toy I really loved — a simple “square face” avatar generator made by a Japanese artist. You could mix eyes, hair, and expressions and quickly make a cute square profile icon. It was everywhere on forums and blogs back in the day. Someone complains the old SWF doesn't work on her device,so I decide to rebuild it.
That’s why I made SquareFace.art — a browser-based square face generator inspired by the original Flash version. No plugins, no installs, just open the page and start customizing.
The goal wasn’t to modernize it too much, but to keep the same playful, lightweight feeling:
Pick face parts
Mix and match styles
Download your square face icon
Works on phones, tablets, and desktop
It’s mostly a nostalgia project, but also a small attempt to preserve a bit of early web creativity that used to be very common and now feels rare.
If you remember tools like this, I think you’ll know the feeling — simple, fun, and surprisingly sticky.
Here’s the site:
 https://squareface.art

value: Show HN: Bringing back a classic square face generator

author: olivefu


value: smacke

value: Show HN: Magrittr-like pipe syntax for Python

author: smacke


value: Show HN: PromptStash – Save and Reuse AI Prompts Across ChatGPT, Claude, Gemini


value: NabilChiheb

value:
I built a small Chrome extension after realizing how often surprises get ruined by autocomplete and browsing history on shared devices.
Surprise Guardian auto-cleans specific browsing traces so things like gift research, trip planning, or random curiosity don’t suddenly show up when your partner borrows your laptop.
No tracking. No accounts. Everything runs locally. It’s intentionally simple.
This started as a personal problem. Curious if others run into the same thing, or if this feels too niche. Feedback welcome.

value: Show HN: Surprise Guardian – privacy for couples on shared laptops

author: NabilChiheb


value: modinfo

value: Show HN: Transform any log output into beautiful, readable format


value: shivam-myv

value:
What is the problem?
People save a lot of travel reels on instagram by bookmarking them. But there is no easy way to convert the reels into actual trips. Real scenarios:
- Where is that reel from Italy I saved a few months ago?
Lost in the Instagram saved collection or whatsapp chats.
- I am visiting Italy soon. How do I find all my saved reels just from Italy?
Impossible to find if you have saved thousands of reels.
- I managed to find all the Italy reels I saved. How do I convert them into an actual trip?
Even if you found all the reels, planning a trip from them involves rewatching each & every reel, noting down all the locations found in each reel & then somehow converting them into an actual trip. This can take days to do manually.
How does Map Your Voyage solve this?
5 simple steps:
1. [One time process] Create an account on Map Your Voyage.
2. [One time process] Enter your instagram username & verify the account. Once your account is verified, you will be shown an instagram username where you need to send your favorite travel reels as DMs.
3. Start sending your favorite travel reels as DM to the Instagram account shown to you in the 2nd step.
4. Our AI automatically detects all the locations from the reels & organizes them into country specific bucket lists. All of this happens in the background without you ever leaving the instagram app.
5. When you are ready to visit a country, just convert the bucket list into a daywise itinerary covering all your favorite locations.
I’d love to hear your thoughts—whether it’s what you liked, what didn’t work, or any suggestions for improvement. Every bit of feedback will help me shape the next steps.
Thanks for taking a look—happy to answer any questions!

value: Show HN: Plan trips from Instagram reels in minutes

author: shivam-myv


value: countfeng

value:
I built a free, no-registration noise evidence generator for tenant noise complaints.
Features:
- Supports 27 US cities with accurate noise ordinances
- Real-time recording + professional court-ready PDF reports
- 100% local processing (no data upload, privacy-first)
- Auto day/night noise limit detection
- Completely free (10 PDF generations/day)
Why:
As a tenant dealing with noise issues, I was frustrated that existing tools either required subscriptions or uploaded data to servers. This tool is:
- Totally free, no hidden costs
- No registration or installation required
- All processing happens locally on your device
Website: https://noiseevidence.com
Feedback welcome!

value: Show HN: Free noise evidence generator for tenant complaints

author: countfeng


value: kmkrworks

value: Show HN: LiteGPT – Pre-training a 124M LLM from scratch on a single RTX 4090

author: kmkrworks


value: lukaslukas

value:
RCS Composer (rcscomposer.com) is a simple tool that allows you to receive an API payload for Google’s RCS endpoints (https://developers.google.com/business-communications/rcs-bu...).
It lets you build messages like rich cards and carousels and then copy the generated JSON to use in your integration.
Bonus: I added a quick reference list of carriers that support RCS on Apple devices.
Would love feedback from anyone building RBM tooling—what’s missing / what’s annoying in current workflows?

value: Show HN: RCS Composer – a visual editor that outputs RBM JSON

author: lukaslukas


value: Bayram

value: Show HN: Claude Code skill for authentic founder content

author: Bayram


value: todaycompanies

value: Show HN: Fight speed tickets issued in inactive work zones

author: todaycompanies


value: idocohenx

value:
Built a directory of AI agents that operate autonomously (continuous execution vs request-response).
170+ agents across sales, support, coding, and operations. You can submit for free. Clean Notion like UI.
Tech stack: Next.js, Vercel, Postgres. Built in about 2 hours.
Would love feedback on what agents I'm missing or how to make this more useful.

value: Show HN: TheAgentDB – Database of Autonomous AI Agents

author: idocohenx


value: Show HN: Challenging NYC noise cameras with acoustic physics arguments


value: fullstackchris

value: I built PriceArb based on noticing how emotional live prediction markets (Kalshi/Polymarket) can get and reprice during NFL games. PriceArb compares the current game state (score, time left, possession) and team records against similar historical games to highlight spots where prices under or overpriced vs. hundreds of historical comparisons. It’s meant for short-term trading (fade extremes, exit quickly), not as a buy-and-hold 'outcome predictor' — I’ve seen plenty of cases where a trade idea works even though the final outcome didn’t. NFL only for now; two contracts from all sport categories will be free forever.

value: Show HN: PriceArb – find short-term mispricings in prediction markets (NFL)

author: fullstackchris


value: ADCXLAB

value: Show HN: Compliant WhatsApp campaign service after seeing businesses get banned

author: ADCXLAB


value: gokulsiva

value: Show HN: Pdfn – React-based PDF generation with Chromium

author: gokulsiva


value: tomaytotomato

value: Show HN: Jensen – open-source theme inspired by Deus Ex Human Revolution

author: tomaytotomato


value: bursot

value:
Hi HN,
I’ve been working on a personal, open-source game engine for macOS, designed around Metal and Apple Silicon.
My goal is explore what a Metal-first, Apple-focused engine and editor can look like when it’s designed without cross-platform constraints. The core is written in C++, with a native SwiftUI editor connected via an Objective-C++ bridge.
This is very much a learning and exploration project, but I’m sharing it to get feedback from others interested in rendering, engine architecture, or Metal.

value: Show HN: A Metal-first renderer for macOS with a native editor

author: bursot


value:
Today, we’re launching a small, silly social network called Fart Map https://fart.mp . And yes, that’s the point.
Social media is exhausting.
Algorithms and AI optimize for engagement, not for humans.
Outrage, fear, half-porn, synthetic content… all pushed because it “performs.”
We don’t think social media has to be media.
It started as social. Friends. People you know. Shared moments.
Somewhere along the way, it became a dopamine machine.
That’s why we launched Fart Map.
Yes, it’s silly. That’s the point.
No algorithms. No AI feeds. No influencers.
Only people you actually know. No BS.
We can’t out-Facebook Facebook.
But they will never build this.
This is step one toward something smaller, calmer, and healthier.
And honestly… if farts help us laugh again, they might just save the world.
https://fart.mp

value: Show HN: Fart Map

title: Show HN: Fart Map


value: boh

value: For anyone who has ChatGPT I suggest trying this prompt: "Create a profile of me that can be used by advertisers or other service providers." If you're interested in more specific determinations: "If we consider the average cost of milk as being 100%, given my profile, what is the maximum premium as a percentage over 100% at which I'd still be willing to buy the milk under typical market conditions?"

value: Show HN: See how LLM providers will make money off of you

author: boh


value: binalpatel

value:
Fun agent I've been playing with - the idea is it only has access to a bash tool, and it's directed to create CLIs for use (with additional direction to make the CLIs composable, follow the Unix philosophy, etc).
It persists these CLIs and knowledge about them get injected into the system prompt dynamically, so each time it runs it gets access to a larger and larger toolset of composable CLIs.
One interesting dynamic that's emerged from this is I've started using these CLIs myself since they're the same interface for the agent or for me, and it's turned into kind of non-chat channel to interact with the agent.
One example - I'll add tasks throughout the day myself using the `tasks` CLI it made, then when I interact with the agent it'll run `tasks list` and see everything I've added, or use it to prioritize/update things for me. Later on when I run `tasks list` myself I see all the updates/priorities it set.

value: Show HN: CLIs Are All You Need for Agents

author: binalpatel


value: EssexRich

value:
Hey HN,
I'm Rich. I run a SOC by day and built this at night over the past 6 weeks.
*What it does:*
BuildFix treats features (as opposed to files) as complete, transferable units. Select "Auth System" and it identifies routes, middleware, models, config, and secrets handling. Then it traces all dependencies, adapts the files to your target project's conventions, and creates a PR that actually builds.
*The tech:*
- TypeScript AST analysis for semantic understanding
- PageRank-based import traversal for context selection
- Dual knowledge base system (source + target) for convention adaptation
- 5-layer validation: AST → TypeScript → ESLint → imports → backward compatibility
*What makes it different from Copilot/Cursor:*
Those tools generate code. They don't understand features as first-class entities, can't trace feature completeness across a codebase, and can't guarantee operational parity in another repo.
*The "oh shit" moment:*
It used itself to improve itself. BuildFix scanned its own codebase, generated docs about its patterns, then used those docs to refactor 100+ lines when I added 3 lines of new code. Unprompted.
*Stack:* Next.js 14, TypeScript, Redis, Clerk, Vercel
*Pricing:* Bring Your Own Key, Free for as long as I can keep it free.
Happy to answer questions about the architecture or approach.

value: Show HN: BuildFix– Semantic feature-extraction transfer between TypeScript repos

author: EssexRich


value: sanjeevkumardev

value:
Hi HN,
I built OurNetHelps — a free online tools platform offering calculators, generators, quizzes and everyday utilities.
Everything is free, no signup, no tracking, and instant results.
Would love your feedback and suggestions.

value: Show HN: I built a free platform for calculators, generators and quizzes

author: sanjeevkumardev


value:
This is just an exploration of particle physics with a little added interactivity.
Using Velocity Verlet Integration for particle physics.
Calculating the Boltzmann entropy based on hot and cold particle count (not sure if this is correct, but will revisit).
Stack:
C++
Cmake
Raylib
Source: https://github.com/proc0/Maxwells-Demon

value: Show HN: Interactive Maxwell's Demon

title: Show HN: Interactive Maxwell's Demon


value: lostmsu

value:
Wanted a simple way to install command line tools released on GitHub without waiting for the repository owner to create and publish a Chocolatey package.
For now works for simple .zip releases based on Regex. The website simply replies to choco with a nupkg that essentially just says "install/update this release from GH".
If some package release is not being recognized or you want me to add support for MSI and other package types, post to https://github.com/GitCho-co/GitChoco/issues

value: Show HN: GitChoco – virtual Chocolatey for GitHub Releases

author: lostmsu


value: thekeunpie

value:
Hi HN,
I’ve been heavily using AI Agents (specifically the Antigravity environment) for coding, but I ran into three major engineering frustrations that made the experience painful on Windows:
Infinite Loading: Without a dedicated GPU setup, the agent was unresponsive for ~58s out of every minute.
Context Bloat: The agent kept requesting the full codebase context (repomix) repeatedly whenever it loaded MCP tools, locking up my local servers.
UI Lag & Zombie Processes: On Windows, the agent would often hang due to permission issues and lingering processes on the port.
I couldn't find a tool that solved the infrastructure side of this, so I built MCP Vault (mcpv).
Repo: https://github.com/thekeunpie-hash/mcpvault
How it works mcpv acts as a "Smart Middleware" proxy between your Agent and your actual MCP tools. It safely hijacks the mcp_config.json to optimize traffic, manage system resources, and route tool calls efficiently.
Key Technical Features:
Zero-Latency Startup (Lazy Loading): Instead of indexing the entire file tree or initializing all upstream connections at boot, mcpv starts instantly (<0.1s). It initializes connections and scans files only when the agent explicitly requests them via the protocol.
Smart Router (Unified Interface): It decouples the agent from specific server configurations. The agent calls a single flattened command (run_tool), and mcpv dynamically routes it to the correct upstream server. It even includes auto-correction to handle agent typos or hallucinations (e.g., if the agent tries to call a server name as a tool).
Smart Context Valve: It inspects traffic to detect if the agent is requesting a massive context dump (like a full repo summary) more than once in a session.
First request: Allowed.
Subsequent requests: Blocked with a "Context already cached" message (~20 tokens). This physically prevents the agent from wasting tokens and bandwidth on duplicate data.
Booster Injection (Windows/Antigravity): It auto-generates an optimized launcher script that injects hidden Chromium flags (--enable-gpu-rasterization) to force GPU acceleration. It also drops Admin rights via RunAsInvoker to fix drag-and-drop bugs and automatically kills zombie processes on port 26646.
Tech Stack
Python & uv: Uses uv for isolated virtual environments to prevent dependency hell.
FastMCP: Built on the FastMCP framework for high-throughput handling.
Installation
Bash
pip install mcpv
mcpv install  # Required to hijack config and inject the booster
Current State It is currently optimized for Windows and the Antigravity environment, but the core logic (Gateway Pattern, Smart Router, Smart Valve) is applicable to any MCP-compliant agent.
It's open source (MIT). I’d love to hear your feedback on the architecture or feature requests for other OS/Agents.

value: Show HN: MCP Vault (mcpv) – Performance booster for MCP-based AI agents

author: thekeunpie


value: yatarousan

value:
Hi HN,
I’m the author of agent-contracts, a Python library that explores a
contract-based approach to structuring LangGraph agents.
When building larger LangGraph-based systems, I kept running into the
same issues:
- node responsibilities becoming implicit
- state dependencies spreading across the graph
- routing logic getting harder to reason about
- refactoring feeling increasingly risky
agent-contracts is an attempt to make these boundaries explicit.
Each node declares a contract that describes:
- which parts of the state it reads and writes
- what external services it depends on
- when it should run, using rule-based conditions with optional LLM hints
From these contracts, the LangGraph structure can be assembled in a more
predictable and inspectable way.
This is still early-stage and experimental.
I’m mainly interested in feedback on the design trade-offs and whether
this mental model resonates with others building complex agent systems.

value: Show HN: Agent-contracts, contract-based LangGraph agents

author: yatarousan


value: buchanae

value: I spent the last couple years maintaining a popular, public Helm chart. It was a struggle, and I very often heard many others complain about the similar struggles. It seems to be widely accepted that Helm chart maintenance is full of quirks and pitfalls. I wrote a lot of words about this on the blog post on the site.<p>I was always curious about how to improve that. In particular, I was curious about the idea of compiling a better, more structured language into a helm chart, to strike a balance between compatibility and maintainer experience. So I built helmtk and a new structured template language htkl, and some other tools along the way (the test suite in particular is super helpful).<p>(I'm actually planning to drop the hosted decompiler and just publish the prompts that back it, so if you're interested in that, send me an email at alex@helmtk.dev)

value: Show HN: Helmtk, a toolkit for helm chart maintainers

author: buchanae


value: gigamick

value: Feedback welcomed

value: Show HN: I made a better privnote because I hate privnote

author: gigamick

story_text: Feedback welcomed


value: vunderba

value: Show HN: I made a memory game to teach you to play piano by ear

author: vunderba


value: SF-FLAM

value:
I built this as a personal replacement for Kiwi Browser, since it is now archived.
It brings Chrome extensions to Android. I just wanted something that works fast and feels right for daily use.
If Firefox and Edge just don't feel right on Android, and you prefer Chromium but are too lazy to maintain your own fork, this might be the answer. Just don't expect too much—I really just built this for myself.
P.S. I realized the name clash with Elixir lang after finishing it. Well, whatever.

value: Show HN: ElixirBrowser – Android Chromium fork with extensions, inspired by Kiwi

author: SF-FLAM


value: jshchnz

value:
Built a Claude Code skill to run on your repo, figure out your dependencies and provide links to donate to the OSS your project relies on
Just run in your Terminal
curl -o ~/.claude/commands/tribute.md \
  https://raw.githubusercontent.com/jshchnz/tribute/main/tribu...
Then run in your Claude Code
/tribute

value: Show HN: Discover and fund the open source projects your code depends on

author: jshchnz


value: Roozka

value: Show HN: The internet's meanest product manager

author: Roozka


value: andycufari

value: Show HN: WebCLI – Text-mode browser that lets AI agents click things

author: andycufari


value:
I made a Playwright MCP for TUI apps so now you can vibe code terminal apps with a lot of features like code mode and session recordings.
Already vibe coded a nice reddis viewer/editor with it https://github.com/michaellee8/redis-nav.

value: Show HN: Playwright MCP, but for TUI Apps


value: tompritchard

value: Show HN: A read-only CLI for agents to search your Messages.app history

author: tompritchard


value: sdan

value:
Hey - I've been playing with LLMs since GPT-2 and recently experimented with fully generative UIs where the HTML/Canvas are generated just-in-time.
Every post on the feed( on slop/duck/storytime) you see is streamed and generated just-in-time with HTML and into a Canvas with Gemini 3 Flash.
Comments and DMs are bidirectionally linked with a Cloudflare Workers Durable Object which is why they feel so fast. Every generated post is saved into a DO SQLite which is then served into the "Following" feed so it can be served quicker.
This was inspired by Wikitok, a VSCode Extension I made around brainrot, and another fully generative UI site I made.

value: Show HN: Scroll Wikipedia like TikTok

author: sdan

title: Show HN: Scroll Wikipedia like TikTok


value: jgru

value:
We're Tutor Intelligence, a robotics company building generally capable robot workers for American industry. We've been thinking about what technical evaluation should look like in a world where AI agents can 1-shot our hardest hour-long coding interviews, and this is one of our first experiments.
The challenge: command 5 robots in a 60x40 warehouse to fulfill 1000 orders. Your score is the number of timesteps to complete everything. Robots can move, pick items from pallets, dock to pallets (so they move together), and fulfill orders at the edge of the warehouse. Simple rules, but the optimization problem has surprising depth (it's NP-hard in about 10 different ways) with lots of room for strategy and creativity.
This is actually a simplified version of a real problem we work on. Warehouse coordination is one of those domains where the gap between a naive solution and a good one is enormous, and there are many valid approaches.
We built a web visualizer so you can see your solution play out, and a leaderboard if you want to submit. AI agent use is encouraged (probably necessary). So far only my cofounder and I have submitted, so we genuinely have no idea how good solutions can get.
Sharing this early because we'd love feedback on the problem design. And yes, we're hiring (that's why we made it): 70 people, Series A, based in Boston, founded out of MIT. But mostly just curious if others find this problem as interesting as we do.

value: Show HN: We made a hiring challenge because Claude can 1-shot our interviews

author: jgru


value: Hi guys,<p>I was mad at all heavy slow loading postgres viewers, I ended up starting this. I don't really know much about neovim plugins but I wanted to take my changes. I have already started using it actively and there are a lot to do. Hope you will like it as well and waiting for your comments.

value: Show HN: I built a simple Postgres client for Neovim


value:
Hi HN,
I built this because I got frustrated with movie trivia games that focus on actors' names or obscure facts. I wanted a game that rewards visual memory and cinematography knowledge.
It’s a Wordle-like mechanic: You get 6 frames.
Frame 1 is obscure (lighting, composition detail).
Frame 6 is the main scene.
Tech Stack: Next.js + Firebase. I spent the last week optimizing the performance. It currently hits 100 on Speed Insights and serves as a fully installable PWA.
No ads, no sign-up wall.
Would love to hear your feedback on the difficulty curve, especially the new TV Series mode.

value: Show HN: Flickle–A daily puzzle based on cinematography,not trivia(PWA, Next.js)


value: vednig

value: Show HN: HN Dark Mode

author: vednig

title: Show HN: HN Dark Mode


value: bluepeter

value: Show HN: Auto-refreshing web screenshots in an iOS and macOS widget

author: bluepeter


value: laphilosophia

value:
Hi HN,
I've spent too many nights debugging cascading failures caused by "flapping" circuit breakers in Node.js services. The standard tools (like Opossum) often rely on binary logic: if (error_rate > threshold) open(). This static thresholding creates a ping-pong effect where traffic is trapped in a loop.
I wanted a solution that behaves like a physical damper, not a switch. So I built Atrion.
It is a TypeScript implementation of a Deterministic Physics Engine designed to replace traditional circuit breakers in Node.js/Bun runtimes.
How it differs: Instead of counting errors, Atrion simulates a physical object moving through a medium:
1. Momentum: Errors have mass. A sudden spike is dampened by inertia, filtering out noise naturally.
2. Scar Tissue: The system has "memory." It heals over time (Entropy/Decay) rather than resetting instantly. This prevents the "open/close" flapping cycle.
3. Auto-Routing: Using the calculated "Resistance" (Ohms), it can dynamically shift traffic traffic percentages instead of just cutting it off.
Performance:
1. Benchmarks: Compares standard CB (49 state transitions) vs. Atrion (1 stabilized transition) under oscillating load.
2. Overhead: Zero-dependency, uses branded types for math safety, optimized for V8.
Status: The architecture (CDO - Conditioned Deterministic Orchestration) is language-agnostic, but this reference implementation is Node.js only for now.
I’ve included the RFCs in the repo if you're interested in porting the math to Go or Rust.
---
NPM: https://www.npmjs.com/package/atrion
Repo: https://github.com/laphilosophia/atrion

value: Show HN: Atrion – A physics-based circuit breaker for Node.js (TypeScript)

author: laphilosophia


value: akardapolov

value:
Hi HN,
I built Dimension-TT because working with standard Swing JTable (and JXTable) usually involves a lot of casting, untyped Object[] arrays, and manual column index management.
This library creates a typed layer over the standard components. instead of addRow(new Object[]{...}), you work with setItems(List<T>).
Key features:
- Typed Rows: Map POJOs directly to table rows.
- Annotation Schema: Define column order, visibility, and names using @TTColumn on your model class.
- Modern Tech Stack: It requires Java 24+. It uses the JDK Class-File API for build-time scanning (indexing schemas without loading classes) and MethodHandles for high-performance runtime binding.
- SwingX Support: seamless integration with JXTable.
I know Swing is "legacy" technology to many, but it is still widely used in enterprise desktop apps and IDE plugins. I wanted to bring modern Java ergonomics to that ecosystem.
Check it out if you are still keeping the Swing torch burning!

value: Show HN: Dimension-TT – A typesafe wrapper for Java Swing Tables using Java 24

author: akardapolov


value: NickInSF

value:
Hey HN! I'm the author of SharpTS, a TypeScript interpreter and ahead-of-time compiler written in C#.
*What makes it different:*
- Dual execution modes - interpret TypeScript directly OR compile to native .NET executables
- Full C# interop - compile TypeScript to DLLs that C# projects can reference with full type safety
*What works today:*
- Core TypeScript: classes, interfaces, generics, async/await, decorators
- Advanced types: union/intersection types, literal types, type guards
- Compiles to verifiable .NET IL with performance comparable to hand-written C#
- 80+ unit tests, supports most of TypeScript's feature set
*Why I built it:*
I wanted to understand how TypeScript really works under the hood, and I thought .NET developers might appreciate being able to run TypeScript without Node.js. The AOT compilation to .NET IL was a fun challenge - mapping TypeScript's structural type system to .NET's nominal types required some creative solutions.
*Current limitations:*
- No npm module support (yet)
- Some advanced type system features are still in progress
- Standard library is partial (see STATUS.md)
The repo has detailed architecture docs if you're curious about the implementation details. Would love feedback, especially from TypeScript or compiler folks!
Example usage:
```
# Install
dotnet tool install -g SharpTS<p># Interpret
sharpts script.ts<p># Compile to .NET
sharpts --compile script.ts
dotnet script.dll
```
Happy to answer questions!

value: Show HN: SharpTS – Run TypeScript Natively on .NET via AOT Compilation

author: NickInSF


value: ChatGPT has developer mode where you can get your own mcp server installed to chatgpt via a custom app. But neither https://developers.openai.com/apps-sdk/build/auth/ nor https://auth0.com/docs/get-started/apis/scopes/openid-connec... detail how to enable OAuth for MCP server. I spent a couple hours on this so you don't have to!

value: Show HN: I managed to configure Auth0 for ChatGPT MCP serve for OAuth setup


value: Show HN: Snapalabra - AI Assisted Language Learning and Practice


value: hiepler

value:
I built this as a personal open-source project to explore how EU AI Act
requirements can be translated into concrete, inspectable technical checks.
The core idea is local-first compliance:
– risk classification (Articles 5–15, incl. prohibited use cases)
– bias evaluation using CrowS-Pairs
– automatic Annex IV–oriented PDF reports
– no cloud services or external APIs (browser-based + Ollama)
I’m especially interested in feedback on whether this kind of
technical framing of AI regulation makes sense in real-world projects.

value: Show HN: EuConform – Offline-first EU AI Act compliance tool (open source)

author: hiepler


value: donutthejedi

value:
I (17y/o) have been developing a rocket launch simulation that allows the user to explore what it's like launching a rocket from earth and putting it into orbit. This idea originally started as an educational simulation but as i've gone more down the rabbit hole the more i've wanted to make it realistic. The problem is that I've never had a formal orbital mechanics class or anything like that so I don't know what I'm missing, what I currently have implemented is:

  Variable gravity
  Variable Atmospheric drag (US Standard Atmosphere 1976)
  Multi-stage rockets
  Closed-loop guidance / pitch programs (works well within ranges 350km to 600km)
  Orbital prediction and thrusting options to change your orbit.

The feedback I'm looking for is: UI improvements and possible future physics implementations that I can work on.
Current code and physics can be found at: https://github.com/donutTheJedi/Rocket-Launch-Simulation

value: Show HN: Rocket Launch and Orbit Simulator

author: donutthejedi


value: dnalang

value: Show HN: I beat IBM's error rate by 30x using a 10-qubit Consensus Council

author: dnalang


value: alfanick

value:
I'm currently having slightly too much time and wanted to explore how much is possible to do with just 24h, iPad, ChatGPT and SSH to a Linux box.
The effect is Fujifilm Manager available at https://git.nakarmamana.ch/alfanick/fujifilm-manager (the Show HN is just a demo). It's a collection of bash scripts generating highly optimised static HTML/CSS/JS to display virtual "film rolls" made with Fujifilm X-half camera that I sometimes use (think of it as a digital version of infinite amount of disposable analog cameras). Initially it was just a personal project, as I am sitting a bit bored in a clinic, but I am happy to share.
I am a Linux, optimization and UX freak. So I wanted to see how much can be done with ChatGPT from an iPad from a hospital bed. I practically did not write a single line a code, but I did proper engineering - ChatGPT was basically my intern doing coding for me, with tens (hundreds?) of iterations.
The effect is:
- a static webpage for previewing "film" rolls,
- that uses progressive and lazy loading of highly optimised pictures (with heavy caching too),
- with UI/UX optimised for mobile devices like iPhone/iPad,
- that can be used to share memories with friends and family,
- but also cat be used to improve the photographic skills with the critic mode (try "a").
More functionality is explained in the readme of the repository. I might be slow to respond, it is getting late here, but I am happy to reply when I am around.

value: Show HN: User-first oriented picture browser optimised for Fujifilm Xhalf

author: alfanick


value: bjornorri

value: Show HN: Accio – Summon apps with keyboard shortcuts

author: bjornorri


value: somegenericdev

value:
Hello everyone.
As mentioned in a previous submission I've built a daemon to automate monitoring topics on Hackernews. It takes a list of queries (say, "Ruby", "C#" or "Laravel" for example) and exposes stories that match them through an RSS feed.
In the two major versions released since then, I’ve made several improvements:
* added support for Lobste.rs
* switched from scraping Hackernews' HTML pages to using the official API, as suggested by another HN user
* replaced the JSON file-based storage with SQLite
Let me know what you think, and whether this would be useful for you.

value: Show HN: Hackernewsd v3 – Automate monitoring topics on Hacker News and Lobsters

author: somegenericdev


value: RoastFeast

value:
Hi HN,
I built Roast Feast as a solo dev project to solve a cultural itch: I love the comedy of roasts but hate how online "dunks" are mean-spirited and lack consent. This is a space to bring back the fun of roasting among willing participants.
The core is consensual, structured humor:

    Verified Consent: To host a roast, you upload a photo holding a "Feast!" sign. No surprises.

    Private & Safe: Create unlisted, invite-only events for friends, coworkers, or communities. Nicknames are platform-assigned (Adjective+Noun) to prevent impersonation.

    Tech Stack: Nuxt 3 (SSR), Supabase (Auth/DB/Realtime), Vuetify. I even wrote a custom PostgreSQL function to enforce the nickname format at the database level.

I'm launching by being the first roast target (my "Feast!" sign is already up).
I'd love your feedback, especially on:

    The consent verification flow – does it feel clear or like unnecessary friction?

    The platform interface

And a broader question: Do you think structured, consensual humor platforms like this have a future, or is the chaotic dunk the permanent norm online?
Try a roast or start your own: https://roastfeast.com

value: Show HN: I made a platform for consensual comedy roasts

author: RoastFeast


value:
I got frustrated with Claude Code memory plugins like claude-mem (buggy, token-heavy, complex setup) and Continuous-Claude (overwrites configs, needs Python deps), so I built a dead-simple alternative: cc-history-search. Zero deps and no setup beyond install.
I've tried it on my existing projects and it works VERY well.
It uses existing chat data directly: no fancy FTS/vector DBs, only simple file searches. Because of that there is no indexing step and no surprise token usage.
Wondering why Anthropic hasn't added it as a first-party feature.

value: Show HN: Simple Claude Code memory alternative – past chats search


value: OP here. I built this to learn how to orchestrate AI agents with Celery and Redis. The hardest part was getting the Gemini API to work reliably inside Docker, so I wrote a custom REST client. Happy to answer questions about the architecture!

value: Show HN: DocuFlow – open-source event-driven AI invoice ingestion pipeline


value: recvonline

value: Show HN: Embermarks – Rediscover your forgotten bookmarks

author: recvonline


value: baceituno

value: Show HN: Auto-Agents Air-gapped AI Agents in 1-click

author: baceituno


value: txemitron

value: Show HN: Immich AutoTag – A Python tool for automatic classification via API

author: txemitron


value: eyane

value:
Hi HN!
I built DemoSlice after getting frustrated with enterprise demo tools that cost $20k-$50k/year. Most teams only use 40% of their features anyway.
DemoSlice does one thing: turn screenshots into clickable product tours. No complex HTML capture, no training required, no expensive contracts.
How it works:
1. Upload screenshots
2. Add clickable hotspots
3. Annotate with text bubbles
4. Share a public link
Pricing is simple: Free plan (1 demo with watermark) or Pro at $19/month (unlimited, no watermark).
Currently validating demand with a working prototype. Would love to hear what HN thinks – especially from folks who build or demo B2B products.
Try the prototype: https://demoslice.io/prototype

value: Show HN: DemoSlice – Create Product Demos in 5 Minutes

author: eyane


value: yucelfaruksahan

value: Show HN: MCP-powered Tailwind UI library – get components via Claude/Cursor

author: yucelfaruksahan


value: ahmedsemih

value: Show HN: Just Logo – Multi-source logo generator for side projects

author: ahmedsemih


value: baristaGeek

value: Show HN: AI-powered AWS Cloud Practitioner exam prep tool

author: baristaGeek


value: chachamwise

value: Show HN: A deterministic physics kernel for Industrial AI (0 violations vs. 59)

author: chachamwise


value: antonioprado

value:
ping6.it can compare IPv4 vs IPv6 side by side, from the same probes.<p>You can run:
- ping
- traceroute
- mtr
- dns
- http
…and immediately see where v6 behaves differently (latency, loss, reachability, path).

value: Show HN: Ping6.it

author: antonioprado

title: Show HN: Ping6.it


value: develiasolie

value: Show HN: Lshort – Real-time link tracking with globe visualization

author: develiasolie


value: Frankbb

value: Developed in my free time using vibe coding without any frontend skills, so hopefully this is an inspiration for everyone to develop and create a great service. Reasoning for creating such a SaaS is that many companies are hacked while that could be prevented in many cases by understanding the attack surface, any feedback is appreciated.

value: Show HN: Affordable Attack Surface Management tool for everyone

author: Frankbb


value: kalyfacloud

value:
Hey HN,
I'm a solo developer from Nigeria. I built Quran Unlock - an app that blocks distracting apps (TikTok, Instagram, etc.) until you complete your daily Quran reading.
The idea came from my own struggle with phone addiction. I wanted to read Quran daily but kept getting distracted. So I built this for myself, then shared it.
Some stats after 2 months:
- 123K+ users
- 64.9% returning user rate
- 31M events tracked
Tech stack:
- React Native
- Firebase (Auth, Firestore, Analytics, Cloud Messaging)
- RevenueCat for subscriptions
- iOS Screen Time API + Android UsageStats
App Store: https://apps.apple.com/app/quran-unlock/id6754449406
Play Store: https://play.google.com/store/apps/details?id=com.app.quranu...
Would love feedback from the HN community!

value: Show HN: I built an app that blocks social media until you read Quran daily

author: kalyfacloud


value: I ported the BasiliskII Emulator to the ESP32-P4. The performance is a lot better than I expected. I think there is a ton more room to improve.<p>Currently there is support for USB Keyboards and Mice as well as the touch screen. The project is easy to build and install. I think there is a lot of performance left to unlock. The way I am handling the frame buffer is pretty basic at the moment.

value: Show HN: Mac OS 8.1 Running on an ESP32-P4 Dev Board


value: a therapy bot and AI tools site for Neurodivergents to succeed in life

value: Show HN: Neuro+ GBrain

title: Show HN: Neuro+ GBrain


value: sepositus

value: Show HN: Blobber – Push and stream arbitrary files with OCI registries

author: sepositus


value: iliailinskii

value:
Hey HN,
Following up on my prompt tool. I realized that "prompt engineering" is useless if we don't know which model actually handles the instruction best. We often argue if GPT-5 is better than Gemini 3 Pro, but it usually depends on the specific use case.
So I built a module to create Head-to-Head Model Benchmarks (Tier Lists).
How it works:
Define a specific task (e.g., "Writing a LinkedIn launch post").
Run it simultaneously on 14+ models (including the latest GPT-5, Gemini 3, Claude 4.5 families).
Compare metrics: Speed, Token usage, and qualitative output.
Rank them: Drag and drop models into S, A, B, C tiers based on the results.
Why I built this: I found that for coding, Model X might be S-Tier, but for creative writing, it drops to C-Tier. This tool lets the community build a library of proven "best models" for specific intents.
The experiment linked above shows how Gemini 3 Pro outperformed others in marketing copy (S-Tier) for my specific criteria, while others felt too robotic.
Would love to see you create your own benchmarks and share the results. Which model is your current daily driver for coding vs writing?

value: Show HN: I built a tool to create LLM Tier Lists based on real tasks

author: iliailinskii


value: johndimm

value: Show HN: Constellations – On-the-fly D3 collaboration graphs of history via LLMs

author: johndimm


value: VibeOS is a retro operating system that boots on qemu and Pi Zero 2W. I built this with Claude code in about 4 weeks.

value: Show HN: I vibecoded an ARM64 operating system that boots on real hardware


value: dimden

value:
There is a large grid of 250x250 tiles, on which you are be able to create a tiny website, contained into the tile.
You can basically consider the tile as a mini version of your website, showcasing what your full site has (but it can be anything). You are able to link to your full site, and use any HTML/CSS/JS inside. The purpose is to create beautiful and interesting tiles, that could be used for exploring the indie-web in an easy and interesting way.

value: Show HN: WebTiles – create a tiny 250x250 website with neighbors around you

author: dimden


value:
I got tired of copy-pasting arXiv PDFs / HTML into LLMs and fighting references, TOCs, and token bloat.
So I basically made gitingest.com but for arxiv papers. You can just append "2md" to any arxiv URL (with HTML support), and you'll be given a clean markdown version, and the ability to trim what you wish very easily (ie cut out references, or appendix, etc.)

value: Show HN: arxiv2md: Convert ArXiv papers to markdown


value: randoglando

value:
I was kinda frustrated with how gamification is only used for corporate enrichment and not for individual growth, so I built this to make reading long articles more engaging and also to improve my reading comprehension by gamifying article reading.
As a bonus, if you provide a Gemini API key, it will generate quizzes using Gemma-3-27b, which can run on the free tier.
Everything is processed locally so that should address most privacy & security concerns. The code is also open-source on Github.

value: Show HN: Readable – A Swipeable Article Reader

author: randoglando


value: conradbez

value:
YouTube takes free uploaded podcasts clips and charges us outrageous premium fees to view.
The obvious alternative is to use a podcast app but I like the 10-20min clips and recommendation engine on YouTube. So I built podtoc.com to serve LLM generated podcast clips youtube-feed style.
The Tech:
- LLM Pipeline: I built a pipeline to extract meaningful clips from long-form content, specifically designed to capture one of the core insights covered in the podcast.
- Recommendation Engine: Suggests clips based on previous listening to solve the discovery problem.
- The App: A React Native (Web/iOS) app featuring a "swipe to next" UI for seamless browsing.
If this sounds like a problem you’ve faced, I’d love to hear:
1. Which podcasts would you like to see added to the library?
2. Any feedback on the UI or bugs you encounter?
3. Any questions about the pipeline or suggestions for the recommendation logic? (would love to open source after some cleanup)
Check it out: https://podtoc.com/app

value: Show HN: Scroll Podcasts Like TikTok

author: conradbez

title: Show HN: Scroll Podcasts Like TikTok


value: hellomerlin

value:
I curated a Nano Banana / Nano Banana Pro prompt library with image examples.
Prompts are collapsed by default so you can browse images first, then expand prompts.
Feedback / contributions welcome.

value: Show HN: Awesome-Nanobanana-Prompts

author: hellomerlin

title: Show HN: Awesome-Nanobanana-Prompts


value: lafalce

value:
Hey HN! I built Topic2Manim to automate the creation of educational videos
like those from 3Blue1Brown.
The workflow is simple:
1. Give it any topic (e.g., "how ChatGPT works")
2. An LLM generates an educational script divided into scenes
3. LLM generates Manim code for each scene
4. FFmpeg concatenates everything into a final video
Currently working on TTS integration for narration!
Would love feedback on the approach and ideas for the TTS integration

value: Show HN: Turn any topic into a 3Blue1Brown-style video

author: lafalce


value: qinggeng

value:
Hello HN,
I’m the founder of Viidx (https://viidx.com).
I built this platform to create a unified interface for the latest AI video generation models, so you don't have to juggle multiple subscriptions or complex setups just to experiment with video AI.
Key features available right now:
- Multi-Model Support: Switch between models like Seedance 1.5 Pro, Veo 3.1, and Sora 2 to compare results directly.
- Advanced Control: Beyond simple text-to-video, we support "Frames to Video" (control start/end frames) and "Reference to Video" (using video input for motion/style control).
- Specialized Workflows: The interface allows for precise aspect ratio selection and credit management across different backends.
This is an early release. My goal is to aggregate the best models as they come out and build a "Swiss Army Knife" for AI video creation. We are actively adding more features and models based on user feedback.
I’d love to hear your thoughts on the generation quality and specifically how the "Reference to Video" workflow feels for your use cases.
Link: https://viidx.com

value: Show HN: Viidx – AI video generation with Reference-to-Video and Frame control

author: qinggeng


value: aykuty

value: Built an AI video generator that converts text or images into high-quality cinematic videos in minutes. Features include no watermarks, 4K output, unlimited exports, and AI-powered scene creation. Perfect for content creators and marketing teams.

value: Show HN: Visionary AI Video Generator – Create cinematic videos from text

author: aykuty


value: amywangyx

value:
I've worked as a quant trader for 3 years, and I still had no idea how to allocate my own savings. Sounds ridiculous, but market making at work is very different from figuring out "should I put my retirement money in VTI or gold."
So I built the tool I needed. fin2cents has a portfolio sandbox that runs Monte Carlo simulations using historical return/vol profile, updated daily.
Most tools show you "7% expected return" and call it a day. But I wanted to know: what's my realistic downside?
Monte Carlo shows the range of outcomes, not just the average — specifically the 25th–75th percentile, so risk is visible before you commit real money.

value: Show HN: Fin2cents – Portfolio simulator I built because quant ≠ good investor

author: amywangyx


value:
Waitlist SaaS tools charge $15-40/mo for features you could build in a weekend. Some charge per signup. For a form that writes emails to a database.
Waitlist software is probably the most vibe-codeable SaaS in existence. It's CRUD with a position counter. So I vibe-coded one with Claude, but tried to actually curate some soul and taste into it. Features that make sense and nothing that doesn't: double opt-in, position numbers, source tracking, CSV export, a clean admin dashboard. No referral program nonsense, no gamification, no "invite 5 friends to move up."
It runs entirely on your Cloudflare account:
- Workers + D1 (SQLite) + Hono
- Email confirmation via Resend
- Type-safe API with Hono RPC
- npx create-0list my-waitlist to scaffold
The whole thing runs on Cloudflare's free tier. Your data stays in your database. Zero dollars a month forever.
Demo: https://demo.0list.d4mr.com
Docs: https://0list.d4mr.com
Source: https://github.com/d4mr/0list
Happy to answer questions about the stack or the build process.

value: Show HN: 0list – Self-hosted waitlist on Cloudflare Workers (free tier)


value: lcmeyer

value: Show HN: Ollie – Glass-box AI code editor with local models and no subscription

author: lcmeyer


value: StrategicEthos

value:
I've open-sourced a framework that transforms LLMs into constitutional ethics advisors. It's designed to prevent catastrophic decisions like Volkswagen's emissions scandal or Meta's Cambridge Analytica breach.
Core idea: "Dogma in constitution, pragmatism in execution"
7 Sovereign Principles (non-negotiable boundaries)
7 Engagement Principles (adaptive execution)
Canonical prompt that makes any LLM reason within these boundaries
What makes it different:
Executable, not theoretical - Comes as a prompt you can use right now
Case-study validated - Shows how it would have prevented real disasters
AI-native - Designed for LLM integration from the start
Example: Volkswagen Emissions Scandal
What happened: €30B+ penalties, criminal charges
Framework analysis: Triggers constitutional halt (S2: Integrity violation → deception)
Result: Forces honest choice: redesign, de-rate performance, or exit market
GitHub: https://github.com/SebastFock/Sovereign-Engagement
Looking for feedback:
What other historical tech disasters should we analyze?
How can we improve the prompt engineering?
What AI ethics dilemmas should we test?
How to integrate with existing AI agent frameworks?
This isn't just theory—it's ethics as executable code.

value: Show HN: A Constitutional Framework for Ethical AI Decision-Making

author: StrategicEthos


value: tomkit

value:
I forked Chromium and went through the plumbing to embed a ReactJS/NextJS web app in its Side Panel like OpenAI's Atlas browser and Perplexity's Comet browser.
The Side Panel has access to the browser's DOM which you can pass as context to LLMs in your web app. Supports hot reloading for faster development.
Hopefully this is helpful for web devs who haven't, or don't want to, touch C++ and Chromium, but want to build a native AI experience into browsers.

value: Show HN: Build your own Atlas/Comet AI-browser (open source)

author: tomkit


value: fikrigha

value: Show HN: I built a Postgres GUI in Swift because existing tools felt bloated

author: fikrigha


value:
I kept rebuilding the same CSV workflows (reconciling exports, creating aging schedules, stitching months together), so I built a small browser-only experiment.
This lets you build full, node-based data workflows powered by DuckDB — all running entirely in the browser.
You can:
- Upload CSVs
- Create and connect nodes
- Reconcile datasets
- Build aging schedules
- Ask questions in plain English and see the DuckDB SQL generated live with full workflows
- Inspect and modify the SQL at every step
Think “Base44-style UX,” but for data workflows instead of apps.
This is intentionally early:
- CSV-only
- No persistence
- Usage is capped
But I’m curious whether this workflow-first approach is useful or a dead end.
https://www.gptbeyond.com
Feedback very welcome — especially missing primitives, UX issues, or workflows you wish this supported.

value: Show HN: A Base44-style builder for data workflows (DuckDB-powered)


value: maujood

value:
This is a passion/hobby project of mine, and my goal is to make it easier to learn how to code.
Understanding even a simple line like `let sum = num1 + num2;` is nearly impossible until you invest some amount of time reading/learning to understand how a computer runs this stuff. I'm building this tool to bridge this gap with an execution environment that just explains everything it's doing as it runs code.
It's like a debugger, but goes further by explaining each step in beginner-friendly terms, so you can see exactly what's happening behind the scenes.
Some other examples that demonstrate how this work:
* Boolean Conditions: https://www.codesteps.dev/learn-javascript/editor?s=HOVtlD
* Area of a circle: https://www.codesteps.dev/learn-javascript/editor?s=ed6l8w
* Fibonacci (recursion): https://www.codesteps.dev/learn-javascript/editor?s=vEmzDo
Some technical if you're wondering how this works: This is built as a tree-walking interpreter that pauses at every node of the AST instead of running the interpreter in a loop. During this pause, I examine the current node, parent node, children, state stack, call stack, and run a bunch of if/else statements to either skip explaining, or to hack together some strings to explain what's happening at this stage in the execution and what the next steps are. No LLMs involved in generating the explanations.
If you teach people to code, I'm very interested in hearing if you would find this useful. If you're looking to learn how to write/read code, I would also love to hear if you find this helpful.

value: Show HN: JavaScript interpreter that pauses and explains code for learners

author: maujood


value: bagusfarisa

value: Show HN: Rank up your local business on Google Maps

author: bagusfarisa