
ai-14all — ai-creed
Desktop app for running multiple AI coding agents in parallel across git worktrees
vuphanse
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Desktop app for running multiple AI coding agents in parallel across git worktrees
vuphanse

Plan, produce, review, and publish creator content all in one workspace.
@DaiwikShashi · X
Building Scribur — the operating system for in-house UGC teams. We help in-house teams manage campaigns, content ideas, scripts, submissions, revisions, approvals, creator communication, and performance tracking all in one place.

Analyze Hacker News profiles with your own LLM API key, fully client-side.
Topfi · HN
Like everyone on HN, I love nothing more than to (re)read my own comments. Getting my intuition that I am among the smartest, most humble, highest quality commenters on here confirmed by an LLM so capable that the US government had to temporarily export restrict it [0] seemed only natural. Having had my perfection confirmed, I decided to share this joy with you as I had a few percent usage left before a reset. I took a few prompts, then did a review of the output which resulted in Selbstbild, a BYOK (Anthropic / OpenRouter) web app that gives you a summary and assessment of your public comments by one of our machine Gods, including Fable 5 (provided your can afford that luxury at API pricing). In all seriousness, I have, for a long time, used my own comments on social media (including HN) as part of a personal needle-in-haystack test, simply because I do know my somewhat peculiar style and what I tend to write, but also because I can sometimes write in a slightly confusing manner, ma

API for text-to-image generation and editing with 11 AI models.
u/texo_optimo · Reddit
I got tired of leaving claude code for image assets so I made Img-Forge - a remote txt2img MCP, API SoloDev here (doing this outside of my 9-5); I've decided to start shipping instead of remaining in a state of perpetual build. I'm shipping the tool I use most in my own work: Img-forge. Link is here but I have a Product Hunt listing for it here. There is a small free tier to check it out. Stackbilder.com is the platform UI; but Easiest way to get your agent working with it is via mcp

Share context across AI agents so they remember your codebase and task history.
@dorikuio · X
AI agents have amnesia — Claude Code figures out the codebase, an hour later Codex starts from zero. So I built a shared memory + task board for every MCP agent — Claude Code, Codex, Cursor, Gemini CLI: Is this just my problem? Help me find out.

Generate HD webtoons and comics from text stories with AI, with multiple art styles and 4K export options.
StarVeil AI - 星河入梦 — 使用AI生成连续漫画的网站

Devthropology – Better Insights for GitHub Repos
dpc94 · HN
Devthropology – Better Insights for GitHub Repos

Automate load testing for modern teams without complex setup or manual scripting.
@GorodkovVi85373 · X
- load testing made easy even without enginnering team. Faster, cheaper, distributional

Document product decisions and reasoning in one shared layer for team collaboration.
@TimEngng · X
Stop losing the "why" behind product decisions -

AI agent that automatically deploys applications across multiple platforms.
Aarav03790 · HN
I made AI agent that deploys your thing on diff plats automaticaly

AI agent that generates, builds, runs, and deploys complete projects from text prompts.
@liquidated0x · X
building an AI coding agent that ships full projects from a prompt — if you're if you're curious

Embeddable visual workflow builder for web apps with optional AI assistance.
tahazsh · HN
Hi! I’m Taha. In many agentic products that support workflows (including one I worked on), I noticed they either don’t support node-based editors, or use React Flow and go through the difficult work of integrating it into their product to run it and work with their existing logic. So I thought about creating a tool that could help with this by closing the gap between the editor and the runtime. That’s why I created Wayflow. The basic architecture is simple: you just need to create a graph (which is a JSON object) that the runtime knows how to run. The runtime doesn’t care where that graph is coming from, it just needs the right schema. And with the help of the editor, you can create the graph, and then export it or directly save it on your backend in your database. And then when you want to execute it, you just hand it to the runtime. The runtime can either stream the execution (which is useful for the editor), or give you the final result. How you execute the graph is up to you: t