
LoopFlow — the tutorial
Describe self-correcting coding workflows in plain English and run them until tests pass.
forgeapp
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Describe self-correcting coding workflows in plain English and run them until tests pass.
forgeapp

Upload a photo to generate your personalized action figure image using AI.
Action Figure AI — 用 AI 将照片转成手办图

Apply motion from reference videos to turn static images into animated videos.
Kling Motion Control — AI Motion Transfer with Kling 3.0

Stateful AI companion that learns from interactions and completes initiatives autonomously or with you.
@cyrus_zad · X

Audit your AI app for security, privacy, and governance readiness.
u/Budget_Lawfulness_33 · Reddit
I made a tool that bridges the gap between vibe coding and actually knowing what you shipped A lot of people are shipping things they don’t fully understand anymore. With the new flagship models such Claude/Codex and people spending hundreds on AI subscriptions to build faster, apps are being shipped quicker than ever. But when you’re constantly throwing prompts at AI, adding features, and moving fast, it’s easy to lose track of what actually made it into your codebase. So I built: https

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

Collect feature requests, let users vote, and publish your roadmap updates.
@TimoBuilds_ · X
building up to leading SaaS for solo-founders to close the feedback-loop to their customers what are you building rn?

Auto-generate step-by-step guides and SOPs from screen recordings.
@Amit63390 · X

Convert design mockups and screenshots to code automatically.
@AnimaApp · X
Image to code in 1 minute - 20x faster than Claude Code and with much higher fidelity. Try it at and let us know how we did 🤘

AI agent that creates product demo videos from a single prompt.
amine_boukioud · Product Hunt
Bingeable AI agent that turns one prompt into a product tutorial video

Learn Git through interactive missions with an in-browser terminal and virtual team collaboration.
@0shuvo0 · X

Scores AI-generated ad creative and returns verdicts (run/fix/kill) via MCP and REST API.
ds246 · HN
Spendict – a performance marketer's verdict for AI agents, over MCP