New stories

I’ve been a fandom writer for a long time and also a very deep Tumblr user (like… headcanons, incorrect quotes, character analysis at 2am kinda deep). Writing has always been how I have fun w/ characters and stories I love.

I’m also a dev, and at some point I noticed smth pretty obvious: I love writing, but inspo doesn’t always show up when I want it to. Sometimes I really wanna write headcanons or relationship stuff, but my brain just goes empty lol.

So I ended up building a small tool for myself.

It’s an AI headcanon generator — you give it a few prompts, and it can generate character headcanons, relationship dynamics, random moments, or incorrect quotes. It’s not meant to replace writing or anything, more like a brainstorming buddy when you’re stuck or just wanna mess around.

I’m sharing it here bc it actually helped me get unstuck and made writing feel fun again, and I figured other fandom writers / Tumblr ppl might enjoy it too.

If anyone wants to check it out, here’s the link: https://aiheadcanongenerator.org/

Would love feedback, ideas, or feature requests — esp from ppl who live in fandom spaces.

Show HN: Kuta – Treadmill interval training for iOS

https://getkuta.com

I kept losing count of reps during treadmill intervals. Tried paper notes, tried the big running apps – none of them are really built for treadmill use.

Kuta guides you through workouts with large visual cues (designed for sweaty hands on a bouncing treadmill), calculates distance from pace × time instead of the treadmill sensor, and syncs to Strava via Apple Health.

SwiftUI, iOS 17+. 22 free preset workouts. Custom workouts are a one-time $2.90 unlock. No subscription.

This is my first app. Got rejected by Apple twice before approval. Happy to talk about the build or the process.

I cannot connect from the app nor from the browser. I don’t even know if this is where I should be asking but I guess I will find out.

TimeDB is an open-source time series database that provides efficient storage and retrieval of time-series data. The project aims to offer a scalable and highly performant solution for managing large volumes of time-series data, making it suitable for applications such as monitoring, IoT, and data analytics.

This article discusses a Mastodon engagement viewer, a tool that allows users to visualize their activity and engagement on the Mastodon social network platform, including detailed insights into their followers, following, and post interactions.

The article describes the author's experience in building an AI agent that trades cryptocurrency. The agent uses machine learning techniques to analyze market data and make trading decisions, aiming to generate profits through automated trading.

Hello Everyone,

I built vim-claude-code, a lightweight Vim plugin that lets you interact with Claude directly inside Vim through a split window.

The goal was to avoid leaving the editor to ask questions, refactor snippets, or generate code. I wanted something that feels native to Vim instead of context-switching to a browser or separate app.

What it does:

Opens a split window for Claude's responses

Sends selected code or custom prompts

Displays responses directly in Vim

Supports normal Vim navigation and scrolling

Minimal setup with no heavy UI layer

It’s still early and intentionally simple. I’d really appreciate feedback from Vim users, especially around workflow, keybindings, and split behavior. Happy to discuss tradeoffs and improvements.

GitHub: https://github.com/rishi-opensource/vim-claude-code

Thanks!

Hello,

This is my game, it's a tiny dungeon crawler played in the Windows file explorer. Your player character is a folder that you drag and drop into other folders to move, items are equipped by dropping them into your equipment folder, some items are used by deleting them, and monsters can be looted for their files.

I got the idea to do something in the file explorer after I saw this version of Flappy Bird in the Mac finder: https://github.com/nolenroyalty/flappy-dird

It was fairly straight forward to make, using just a file watcher, shortcuts, and (optionally) Window's explorer API to detect whether the player folder is open in an explorer window (to delay renaming the folder until it's not used). It only uses files and folders it creates itself, and doesn't look outside of its executable's folder.

The project lent itself very well to TDD, especially since there are a lot of interactions that are quite tedious to manually test again and again.

It's also available on Itch (no account required): https://juhrjuhr.itch.io/directory-dungeon

I read Cloudflare's "Markdown for Agents" article and thought this would be really powerful if it could support internal websites, JSON content and dynamic Javascript sites.

I built this on my 35-minute BART ride to SF using my phone as the IDE (and a couple of hours of feature creep/testing). It's a combination MCP server + HTTP proxy that converts web content to markdown on-the-fly.

Key features:

* HTTP/HTTPS proxy with automatic HTML to markdown conversion * Token counting and caching to stay efficient * Content negotiation (only converts when Accept: text/markdown) * MCP server * JavaScript rendering for dynamic sites

Let me know what you think!

The MasterAI RankWriter plugin for WordPress allows users to automatically generate high-quality, SEO-optimized content for their websites. The plugin uses advanced natural language processing and machine learning algorithms to create unique, engaging articles based on user-provided keywords and topics.

I've been using DigitalOcean's App Platform as an alternative. As other mentoned, it's not exactly identical, but it's really close with the git-base deployments and etc. Anyone else can share their thoughts too.

Spotify is updating its developer access and platform security policies to enhance user privacy and platform integrity. The changes include new requirements for app developers, increased authentication measures, and expanded data restrictions to ensure a secure and trustworthy experience for Spotify users.

This article explores the benefits of Skill Test Driven Development (STDD), a methodology that focuses on developing and testing specific skills rather than building complete applications. The author discusses how STDD can help developers improve their skills, increase efficiency, and deliver better software solutions.

The article explores the concept of metaprogramming, focusing on how Mojos, a programming framework, makes it more explicit and accessible. It discusses how Mojos allows developers to extend and customize their programming languages, empowering them to create powerful and flexible applications.

Cloud PBX for small business

The decimal-java project is an open-source Java library that provides a high-precision decimal data type for use in financial and scientific applications where precise calculations are required, addressing the limitations of the built-in Java BigDecimal class.

Pinhead.ink is a website that allows users to create and share custom short links, enabling them to track click data and manage their links effectively. The platform offers features such as link customization, analytics, and link expiration options.

The article discusses Gyroidos, a virtualization solution that aims to enhance the security of embedded devices and simplify the cybersecurity certification process. The system leverages virtualization to isolate critical components and provide a secure execution environment, potentially improving the overall security and compliance of embedded systems.

OpenLegion.ai is an AI-powered platform that provides businesses with access to a network of specialized AI developers and engineers, enabling them to build and deploy custom AI solutions tailored to their specific needs.

The article discusses the Renovate bot's approach to automatically updating dependencies in software projects, including its ability to handle multiple dependency managers and its support for monorepo configurations.

This article provides a primer on large language models (LLMs) and machine learning models for classification and prediction (MCPs), explaining their capabilities, limitations, and potential applications in various industries.

The article discusses quadtrees, a hierarchical data structure used for spatial partitioning and indexing. It explains the basic concept, how quadtrees are constructed, and their applications in areas like computer graphics, image processing, and geographic information systems.

Hey HN. I've spent 10 years doing IT work, mostly infrastructure and scripting, the stuff nobody writes blog posts about. No CS degree. This is my first startup and I have no idea if I'm doing it right. Here's the problem that bugged me: every AI agent setup I looked at just blasts everything through GPT-4 or whatever the biggest model is. That's insane for 80% of tasks. You don't need a $0.03/1k token model to parse a CSV. So I built two things. Rhelm is a web app for organizing AI work visually, boards and tasks, kind of like Linear but for agent workflows. goClaw is a companion mobile app (coming to App Store and Play Store) that lets you talk to your agents from your phone. Text or voice. "Hey, spin up the data cleaning job" and it figures out which model to route it to based on what the task actually needs. The routing is the part I care about most. Task comes in, system looks at complexity, picks the cheapest model that can handle it. Sometimes that's a local model, sometimes it's an API call, sometimes it's "this actually needs a human." I built the core loop in about 4 days. I've been breaking and fixing it since. I'm not going to pretend I have everything figured out. I definitely don't. But I'm mass rounding off the rough edges and I'd rather ship something and learn from people smarter than me than sit on it forever. https://rhelm.io (waitlist is open) What am I missing? What would make you actually use something like this?

Built this as an experiment in giving LLMs embodied musical experience. It's an MCP server with 120 MIDI songs across 12 genres. Each genre has one fully annotated exemplar the model studies first. The rest are raw MIDI waiting to be learned.

The model can read sheet music, play songs through your speakers, view an SVG piano roll it can read back to verify what it played, and write to a practice journal that persists across sessions. Learning compounds over time.