2025年10月16日 の Show HN

Thought I would post in celebration of 1 year of my website being online. I've been working on it on and off and currently the website allows users to play Hex, Tumbleweed, Amazons, and Connect 6 against friends or against practice bots. I've been a long time player of some of these games and I felt for a long time that the world could use a few more popular abstract strategy games compared to Chess or Go.

If you try it, let me know what you think. I'm always looking for new games or new features to add :)

I've invented a new alternative to forking / vendoring / monkey-patching packages in Python.

It's a bit like OverlayFS for Python modules - it allows you write modifications for a target module (lower) in a new module (upper), and have these combined in a new virtual module (mount).

It works by rewriting imports using AST transformations, then running both the lower and upper module's code in the new Python module.

This prevents polluting the global namespace when monkey-patching, and means if you want to make changes to a third-party package, you don't have to take on the maintenance burden of forking, you can package and distribute just your changes.

Hi HN! I'm Nick from Inkeep. We built an agent builder with true 2-way sync between code and a drag-and-drop visual editor, so devs and non-devs can collaborate on the same agents. Here’s a demo video: https://go.inkeep.com/video.

As a developer, the flow is: 1) Build AI Chat Assistants or AI Workflows with the TypeScript SDK 2) Run `inkeep push` from your CLI to publish 3)Edit agents in the visual builder (or hand off to non-technical teams) 4) Run `inkeep pull to edit in code again.

We built this because we wanted the accessibility of no-code workflow builders (n8n, Zapier), but the flexibility and devex of code-based agent frameworks (LangGraph, Mastra). We also wanted first-class support for chat assistants with interactive UIs, not just workflows. OpenAI got close, but you can only do a one-time export from visual builder to code and there’s vendor lock-in.

How I've used it: I bootstrapped a few agents for our marketing and sales teams, then was able to hand off so they can maintain and create their own agents. This has enabled us to adopt agents across technical and non-technical roles in our company on a single platform.

To try it, here’s the quickstart: https://go.inkeep.com/quickstart.

We leaned on open protocols to make it easy to use agents anywhere: An MCP endpoint, so agents can be used from Cursor/Claude/ChatGPT A Chat UI library with interactive elements you can customize in React An API endpoint compatible with the Vercel AI SDK `useChat` hook Support for Agent2Agent (A2A) so they work with other agent ecosystems

We made some practical templates like a customer_support, deep_research, and docs_assistant. Deployment is easy with Vercel/Docker with a fair-code license and there's a traces UI and OTEL logs for observability.

Under the hood, we went all-in on a multi-agent architecture. Agents are made up of LLMs, MCPs, and agent-to-agent relationships. We’ve found this approach to be easier to maintain and more flexible than traditional “if/else” approaches for complex workflows.

The interoperability works because the SDK and visual builder share a common underlying representation, and the Inkeep CLI bridges it with a mix of LLMs and TypeScript syntactic sugar. Details in our docs: https://docs.inkeep.com.

We’re open to ideas and contributions! And would love to hear about your experience building agents - what works, hasn’t worked, what’s promising?

We built this to answer "am I a fit for this role?"

after noticing how hard it is to get honest feedback when applying to a YC startup or something else entirely.

It's a custom 5-minute challenge that roasts you after.

Added a leaderboard for those who want to see how they stack up.

Roast us below.

Hey HN! Arky is a markdown editor with a twist — instead of linear documents, you work on a 2D canvas where you can:

• Place ideas anywhere spatially

• Organize into hierarchy with drag & drop

• See the full document structure at a glance

• AI writes contextually — drag & drop responses anywhere on canvas

More info: https://arky.so/

Try it: https://app.arky.so/ (Access codes are in the comment below!)

Quick demo(60s): https://youtu.be/Nxsr5Ag2vEM?si=g6nKheRWWNuaLTe8

Would love to hear your thoughts.

Hi HN, this is Miguel, and I built a simulation of what the tech industry will look like in 2027. We hear a lot about job loss, AI literacy, and in general the fear of the future... and I wanted to capture these feelings through an immersive experience. Check it out here: https://marbleos.com

Sam Altman says that there will be mass layoffs, but many “new jobs” will be created, and when asked they say “AI literacy”... but no one has a clear picture of what this would actually look like?

I saw a recent government article titled "AMERICA’S TALENT STRATEGY: BUILDING THE WORKFORCE FOR THE GOLDEN AGE" written by the U.S. Department of Labor, and I wanted to explore what it could look like when the government intervenes in this bleak future. It discusses “work-based learning models” in partnership with corporations, government-assisted “Registered Apprenticeships” for upskilling, not sending people to college again, etc.

The simulation was built from scratch using React, JS, CSS, and HTML. I hope this project gives a feeling of reflection, motivation for growth, and empowerment.

An early version was shown before, and now it works even better.

Enjoy！

A simple app that helps you prepare for technical interviews and verify your IT knowledge.

The latest version adds 5,000+ interactive quizzes and 2,100+ real interview questions across major tech topics like JavaScript, Java, Python, PHP, HTML, Databases, and DevOps.

https://www.itflashcards.com

Apple only!

Hi! I've been creating dance parties in my local town, and wanted a way to turn the music into lighting in a way that left me hands fee to enjoy the party

It's open source, and as well as lighting also does VJ (select videos from a folder and apply effects based on the music)

I'd love to see it get used more, happy to help you get it working

I built VO3-1ai (vo3-1ai.com), an AI-powered tool that transforms text or images into cinema-quality video clips—complete with native audio, perfect lip-sync, realistic motion, and lifelike human features—without any manual sound design. It leverages Google’s Veo 3.1 model plus extra advanced layers for unmatched realism.

Secure Code Review with Real Scanners and LLM.

A GitHub App that scans PR changes using security scanners and suggests AI Fixes using GPT-5.

Free for open-source and individual projects.

I’ve been working on a tool called Coordable, which helps analyze and improve geocoding results.

If you’ve ever dealt with geocoding at scale, you’ve probably hit two recurring problems:

Garbage in = garbage out. Addresses are often messy (“2nd floor”, “/”, abbreviations, multiple addresses in one line…). Most geocoders will fail or return incorrect matches if the input isn’t perfectly normalized.

A result isn’t always a correct result. Many providers return something even if it’s wrong — e.g. shifting a house number, or confusing similar street names. Assessing whether a geocoded result is actually right is surprisingly hard to automate.

Coordable tries to address both issues with AI and analytics:

Uses an LLM-based cleaner to normalize messy addresses (multi-country support).

Automatically evaluates geocoding accuracy by comparing input and output like a human would.

Lets you benchmark multiple providers (Google, HERE, Mapbox, Census, BAN, etc.) side by side.

Includes a dashboard to visualize results, quality metrics, and exports.

It’s not a new geocoder — it wraps existing APIs and focuses on data quality, comparison, and automation.

It’s currently in beta with free credits. If you work with geocoding or address data, I’d love to hear how you handle these challenges and what kind of analytics would be most useful to you.

Most security tools are either free-but-limited (SSL Labs) or enterprise-priced ($200+/month).

Nothing existed for freelancers and small agencies managing multiple sites affordably.

So I built it. It scans all your domains in ~30 seconds, shows you a simple security score, flags issues, and generates professional PDFs you can send to clients. No complex setup, no security expertise required. Currently $27/month for 10 domains with unlimited scans.

The MVP is live and working well, but I want real feedback before pushing hard on growth. Looking for beta users—especially freelancers or small agency owners managing 5+ client sites.

If you're interested, I'd love to hear what works and what doesn't:

https://achilleus.so

Happy to answer questions in the comments.

Dashboard link: https://claude-vs-codex-dashboard.vercel.app/

I built a dashboard analyzing the sentiment between Claude Code and Codex on Reddit comments. The analysis searched for comments comparing Claude Code vs Code then used Claude Haiku to analyze the sentiment, and which model was preferred. It also lets you filter by various categories such as speed, workflows, problem-solving, and code quality. You can also weight by upvotes to make the comparison by upvotes rather than raw comment numbers.

Takeaways:

* Codex wins on sentiment (65% of comments prefer Codex, 79.9% of upvotes prefer Codex).

* Claude Code dominates discussion (4× the comment volume).

* GLM (a newer Chinese player) is quietly sneaking into the conversation, especially in terms of cost

* On specific categories, Claude Code wins on speed and workflows. Codex won the rest of the categories: pricing, performance, reliability, usage limits, code generation, problem solving, and code quality.

Hi HN, We’ve been working on Veo 3.1, an AI video model that turns text or image prompts into cinematic video clips with built-in audio and scene control. It’s the next step after Veo 3, focused on longer storytelling and directing flexibility.

Veo 3.1 builds on transformer-based video diffusion with improved temporal consistency and sound integration.

Key features:

Extended 30-Second Clips: Generate longer cinematic scenes with natural pacing and narrative flow.

1080p & Vertical Format: Outputs in full HD and native 9:16 for social or professional use.

Stronger Scene Consistency: Improved lighting, framing, and character stability across shots.

Multi-Shot Orchestration: Create multi-shot sequences with transitions and camera motion control.

Built-In Audio & Lip-Sync: Automatically syncs dialogue and ambient sound for cinematic realism.

Why we built this: We wanted to move beyond short clips toward full cinematic storytelling — where a single prompt can define a sequence of shots, pacing, and sound without external tools.

We’d love your feedback on:

What kinds of projects longer 30-second clips could unlock

How you’d like to control multi-shot sequencing or camera motion

What integrations (APIs, plug-ins, etc.) would make Veo 3.1 easier to build with

Hey HN! I built shōmei, a super simple CLI tool that mirrors your corporate Git commits to your personal GitHub profile. It only sends commit timestamps via GitHub's API, zero code or IP.

I know that the contribution graph does not define you as a dev, but I made this for the devs who want to have it all in one place. Would love to hear your thoughts, especially around: -> Security/privacy concerns you might have -> Whether you'd use it -> Other git platforms (GitLab/Bitbucket) worth supporting

Try it out and let me know what you think!