
Universal Prompt Designer | Build Better AI Prompts
Answer questions to generate structured AI prompts for ChatGPT, Claude, Cursor, and other AI tools.
@askjames_co · X
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Answer questions to generate structured AI prompts for ChatGPT, Claude, Cursor, and other AI tools.
@askjames_co · X

Free AI business coach for first-time founders that validates ideas and generates personalized business plans.
@AskAstonNow · X
- Ask Aston is an interactive business coach that guides you through launching your business step-by-step.

AI agent that analyzes your code repo and deploys it to production infrastructure automatically.
salsta1 · HN
Nexlayer – Paste a repo. The agent analyzes, builds and deploys it

Post your project idea and find co-founders or collaborators who want to build it.
u/SorbetLast6747 · Reddit
Introducing a new way to find co founders & partners for ur project Hey everyone, I’m Alex. A few years ago, I had this project idea I desperately wanted to build, but it was just too tough to do on my own and even AI couldn't really help back then. I wasted so much time jumping from app to app trying to find a co-founder to team up with. That frustrating experience stuck with me, so when I saw how amazing AI tools have become recently, I decided to finally build a solution for all of us. I c

Organize notes and collections, ask questions, and generate podcasts and study materials.
mistakevin · HN
I've been working on https://notebooker.ai if anyone is interested in giving some feedback. I tried to post a Show HN yesterday with details about how I built it, but was auto-flagged and not sure what rules I broke. Everything that I've built on top of open-notebook, like the plugin system for your own "creators" (aka, podcasts, infographics, etc) is at https://github.com/Notebooker-ai plus a Cloudflare Worker AI deployer to play with different models. Been working on it for about six months.

Explore and share development stories behind AI-built software projects, including decisions and tools.
u/ComfortableCheap1669 · Reddit
I built a way to see the decisions behind an AI-assisted project, not just the final repo I kept running into a weird problem with projects I built using AI. Once the project is finished, GitHub shows the result pretty well. But almost none of the process survives. The first approach that didn’t work. The bug that changed the architecture. The point where I realized I was solving the wrong problem. The AI suggestion I ignored. Why v2 looks different from v1. You

Generate AI case studies from shipped projects and automatically promote them socially.
@SeifElkady_ · X
Building — helps devs turn shipped projects into proper case studies for their portfolio. Let's connect!

Browse the actual dashboard every client receives: one competitor with all 12 sections unfolded and two more in preview. Data from a delivered project, with the names changed.
@ivanlhz · X
Competitor radar for founders and agencies: what your competition actually does, measured and sourced, in a dashboard your client can read. If you sell services, it shows what whoever keeps winning your deals is doing. Demo:

Turn any idea into a film, campaign, or project. Schedules, crew, call sheets, gear and budgets in one free workspace. Start your first project today.
@connorathomas · X
New creative ops platform

Upload your AI project code to automate development planning, deployment, and production integration.
Haven — vibe coding 部署平台,上传 ZIP 或连接 GitHub/Gitee,AI 梳理需求并补齐支付、多用户、日志安全、运维等环节,一天内交付可对外服务的产品

Create AI assistants for technical documentation that respond to user questions instantly.
@emilsnotes · X
Our customers using Claude Code move faster than we can ship features. So we stopped fighting it and leaned in. Here's why it's paying off: 👇️ Some context: powers AI agents that answer millions of technical questions per month. Those conversations are a goldmine - they tell you exactly what users struggle with and where your docs fall short. We've built a lot of analytics on top of this (Coverage Gaps, Top Questions, and more), and teams love them. But here's the honest truth: no dashboard covers every edge case for every company. Meanwhile, our sharpest customers were already exporting kapa data and throwing their coding agents at it in ways we never designed for. So instead of chasing every workflow with a UI, we took the best practices we've seen actually work and packaged them as Kapa Skills - installable in Claude Code, Cursor, or Codex: 1/ Analyze Coverage Gaps: your agent works through the topics kapa couldn't answer and writes the missing content straig

Reqify captures meetings, project documents and stakeholder knowledge, identifies what is missing, and produces review-ready project deliverables grounded in…
@reqifyai · X