Min Zhou

Trickle
Maker of 👉 https://www.trickle.so/
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Min Zhoustarted a discussion

Gemini 3 is insane, and it has landed on Trickle

This upgrade brings a new level of multimodal intelligence to the Magic Canvas. Trickle can now understand scenes, layouts, logic, interaction patterns, and even vector graphics with far more accuracy. A few lines of text are enough to generate full builds with structure, behavior, and clean UI. With Gemini 3, Trickle becomes faster at reasoning, better at handling long prompts and complex...

Min Zhouleft a comment
Supporting MeDo! This tool will empower creators to bring their ideas to life faster than ever.
MeDo by Baidu
MeDo by BaiduBuild full-stack apps with AI at a fraction of the cost
Min Zhoustarted a discussion

A prompt directory for vibe coding, made with vibe coding

I’ve been building with AI tools a lot lately, and one thing kept bothering me: I had dozens of great prompts scattered everywhere — Notion docs, chat histories, screenshots… It was chaos. So I made Prompt Directory: A clean, public-first directory where you can explore, remix, and collect prompts across design, writing, coding, and more. 🧩 What it does: • Browse a growing set of curated...

Min Zhoustarted a discussion

Kimi K2 Turbo Lands on Trickle

We have rolled out Kimi K2 Turbo, the newest large-scale model from Moonshot AI, inside Trickle. It is faster, sharper, and designed for seamless creative flow. What makes this special Trickle is the first AI agentic canvas for vibe coding, a space where you can build production-ready apps and websites using natural language, images, and context. With K2 Turbo, every generation inside Magic...

Min Zhouleft a comment
Congrats on the launch! HuHu looks promising.
HuHu AI Agent for E-Commerce
HuHu AI Agent for E-CommerceAI E-com agent that converts 5x more from just a URL
Min Zhouleft a comment
Intecular looks promising.
Leon Xue
🤔 Why hasn’t smart home tech gone mainstream?
Trickle Magic Canvas - the world’s 1st agentic canvas where you can co-create with AI, visually, to ship production-ready apps & websites. It‘s a visual space for context engineering, where the agent better understands your intentions & builds multi-page apps.
Trickle - Magic Canvas The 1st Agentic Canvas for building apps visually with AI
Min Zhouleft a comment
Congrats! Definitely will give it a go. Great job!
Twenty
TwentyThe #1 open-source CRM
Min Zhoustarted a discussion

Show Me What You’ve Built with Vibe Coding

This week I picked 4 new templates from Trickle.so that I think are worth checking out, they cover ecommerce, portfolios, and form-based sites: 1. Product Landing Page A cohesive brand look helps your audience quickly capture the value you’re delivering. 2. Minimalist Ecommerce Page Clean design puts the focus on your product. Bonus: this template comes with a built-in shopping cart. 3....

Min Zhoustarted a discussion

I have some prompt tips to share

Prompting is everything in the age of vibe coding. Knowing how to guide AI precisely and efficiently is the key to getting the results you want. Today, I’m sharing some of my favorite prompting tips, plus a handy cheatsheet I put together. Prompting Tips That Actually Work Be spatially specific. Use keywords like "left", "right", "centered", "aligned to bottom", "spaced evenly" to help the...

Min Zhoustarted a discussion

We just launched a collection of free AI tools on Trickle

We’ve recently launched a new section: a growing collection of free AI tools to help with small but essential creative and technical tasks. These are tools we originally built to help ourselves and our users move faster, whether it’s writing a quick email, testing an HTML snippet, naming a new project, or summarizing a pdf. Instead of hiding them behind onboarding or paywalls, we decided to...

FirstVersion takes you on a journey through time, recreating the first versions of today’s tech giants with AI, collaboratively refined and maintained by the community – and updated for free. You can also duplicate them for free and build your own versions.
FirstVersionRebuilding the first versions of great products with AI