Waymaker

— The AI cofounder that ships, not just plans. Idea → design → build → launch → grow. For non-technical founders.

[Waymaker @waymakertools]

We created a Vibe Coding Framework to solve the challenges we encountered building products with AI Assistants.
The framework is opensource and we'd love to have you use and contribute your brain too.

RANA Framework
AI can write code fast. It can also write fragile code that snaps under real users. RANA fixes that.
RANA (Rapid AI Native Architecture) is our open-source framework that ensures AI-generated code is built for production from day one. No mock data. Real error handling. Proper testing. Deployed and working.

Quality gates that prevent common AI mistakes

Works with any AI assistant or tech stack

Ships to production, not just demo

Open-source and free forever
Learn About RANA https://t.co/hijAhReY6o
Production-Quality Code with the guardrails to keep you from refactoring your solution, security gaps, feature duplication, rewriting prompts endlessly.

Check it out!

[Waymaker @waymakertools]

AI product marketing is not just better messaging.

It is translating new behavior:

agents building with us
users expecting instant prototypes
teams shipping smaller/faster
buyers needing trust, security, and control

The narrative has to connect speed with confidence.

[Rohit @heyrohitai]

🚨 Anthropic just showed a 27-minute workshop on how to actually do prompts for Claude.

Taught by the people who built it.

Free. No registration. No paywall.

I've seen $300 courses that don't cover what they teach in the first 8 minutes.

Watch it and bookmark it now.

[Elon Musk @elonmusk]

Most CEOs have no idea what’s really going on

[Min Choi @minchoi]

This guy literally shows you how to save 5+ hours a day with Claude Cowork

Steal this workflow + Starter prompt 👇

[GREG ISENBERG @gregisenberg]

So, Manus AI sold for $1-2B to Meta.

A few of my takeaways to people in silicon valley and not:

1. Manus treated distribution as a first-class expense, spending heavily on creators to win attention early

2. That spend worked because creators showed the product in use, not because they explained it

3. The product was simple enough that a demo did the selling without narration

4. Manus was the FIRST platform to really own the category of super agent. Gets you thinking... what AI word can you own??

5. Once attention was locked in, revenue followed quickly because the value showed up immediately

6. Meta probably paid 10–20× revenue for speed, momentum, team and mindshare they didn’t have to build. Not insane

7. Manus proved that owning the user relationship matters more than owning the underlying model.

8. I guess GPT wrappers aren't useless after all ;)

9. Manus' browser operator feature was an "ah-ha moment" for millions. Watching your AI actually browse the internet and take actions for you was a game changer and went SUPER viral on social

10. The team spent more time thinking about “what will people screenshot?” than “what benchmarks will we win?”

11. Manus benefited from launching before the category felt settled or named. What other categories are like this ??

12. Agent products win when they collapse effort into a single observable action

13. A lot of people in Silicon Valley/tech never used Manus, and it really didn’t matter at all

Next tweet on how I'd think about building the next Manus and sell to Meta for a few billion:

[Waymaker @waymakertools]

We created a Vibe Coding Framework to solve the challenges we encountered building products with AI Assistants.
The framework is opensource and we'd love to have you use and contribute your brain too.

RANA Framework
AI can write code fast. It can also write fragile code that snaps under real users. RANA fixes that.
RANA (Rapid AI Native Architecture) is our open-source framework that ensures AI-generated code is built for production from day one. No mock data. Real error handling. Proper testing. Deployed and working.

Quality gates that prevent common AI mistakes

Works with any AI assistant or tech stack

Ships to production, not just demo

Open-source and free forever
Learn About RANA https://t.co/hijAhReY6o
Production-Quality Code with the guardrails to keep you from refactoring your solution, security gaps, feature duplication, rewriting prompts endlessly.

Check it out!

[Elon Musk @elonmusk]

That is why

[Grace Gym🏋️‍♀️ @GraceGym_]

How to raise a genius kid through simple games 👪

[Joel Osteen @JoelOsteen]

Often, it’s not the storm that defeats us; it’s how we respond to the storm. There is collateral damage we can avoid if we don’t add to the storm by getting bitter, giving up on dreams, losing our passion. When difficulties come, be careful what you’re telling yourself.

[GREG ISENBERG @gregisenberg]

we're living in the GREATEST time in HISTORY to turn ideas into reality

claude code subagents allows you to organize AI agents like a startup team

each one living in its own markdown file with specific instructions, personality traits, and expertise areas, from frontend-developer md to tiktok-strategist md to growth-hacker md.

each markdown file becomes a complete employee profile.....your frontend-developer md knows react best practices and has a preference for clean code, your tiktok-strategist md understands gen z humor and trending sounds, your growth-hacker md obsesses over conversion rates and a/b testing everything. you can give them different communication styles, decision-making frameworks, even quirky personalities that make them feel like real team members you're managing.

people are scanning @ideabrowser for painpoints of niches on subreddits/fb groups (feature is called community signals and is brand new), getting startup ideas, spinning up landing pages with bolt or lovable

and then coordinating their AI agent "team" where the product agents prioritize features, engineering agents push code, and marketing agents create content

all working from their individual instruction files.

you can literally structure your ai workforce like a company org chart, with agents in engineering/, marketing/, design/, and operations/ folders, each with detailed prompts about how they should think and act.

we've gone from using AI as a single tool to managing entire ai organizations where each agent has a specific role, communication style, and area of focus

you can literally write down what you want built in markdown files and watch ai agents execute it while you sleep or you are at your full-time job.

claude code subagents are a game changer

it's going to be a good week.

[elvis @omarsar0]

NEW: Google announces Agent2Agent

Agent2Agent (A2A) is a new open protocol that lets AI agents securely collaborate across ecosystems regardless of framework or vendor.

Here is all you need to know:

[Aaron Levie @levie]

Google’s new Agent2Agent protocol is a key step toward a future of AI Agent interoperability. No single tool has all the data a user or business needs for most workflows, so we need Agents to be able to talk to each other.

Salesforce will have AI Agents that understand the inner workings of CRM, Workday will have AI Agents that understand HR workflows, Box has AI Agents that understand content and documents, and so on. It’s easy to conceive of a world where we have tens of thousands of these tool Agents and then billions or trillions of customized Agents that are extensions of those. So openness becomes key.

Workflows need data from multiple systems to complete the task — like a sales report that needs documents and CRM data or an HR task that needs HR policies and employee details — and that’s where A2A comes in. This protocol gives AI Agent providers a way of talking to each other and simplifying the way that Agents communicate, understand each other’s capabilities, and so on.

It’s great to see more interoperability, along with MCP, emerging in the AI space right now, as this will define the future of most IT stacks.

[Min Choi @minchoi]

This is wild.

DeepSite is like Cursor AI but in your browser, powered by DeepSeek V3 0324.

Now you can vibe code AI apps, games & landing pages.

100% free

5 wild examples (and how to try it yourself):

1. Cyber Flappy Bird clone

[Paul Couvert @itsPaulAi]

Wow Google has just released Firebase Studio

You can build any app in natural language, modify it and deploy it all in one place 🔥

Basically a free alternative to Cursor, Bolt or v0, directly in the browser.

Link and more below

[Shushant Lakhyani @shushant_l]

You + laptop + wifi + ChatGPT = 🔥

Here are 10 ChatGPT prompts you can use for problem solving: 👇

[AIForPeople @AIForPeople]

🚀 Google just dropped a game-changer!
If you’re into writing, coding, or just love AI, Gemini Canvas is about to blow your mind. Here’s why you NEED to try it 👇

[AIForPeople @AIForPeople]

🚨 BREAKING: Google just launched Firebase Studio—an AI-powered coding platform that builds full apps from a prompt. This could KILL traditional coding. 🧵👇

[Tulsi Soni @shedntcare_]

@otioai Workflows – Your AI-Powered Research Assistant!

https://t.co/cCVFc0tigW…

Say goodbye to repetitive research tasks. Otio's no-code Workflows help consultants & professionals automate their industry monitoring, so they never miss a beat.

- Save time
- Stay informed
- Automate effortlessly
https://t.co/cCVFc0tigW…