Cover - Last 30 Days

I genuinely recommend that you try this AI skill called Last 30 Days, a lightweight AI research tool designed to help you quickly understand what’s happening right now in any topic.

At first glance, it looks like nothing more than a small plugin for :contentReference[oaicite:0]{index=0}, but in practice, Last 30 Days works as a real-time trend analysis engine. It scans discussions from the past 30 days across X, Reddit, and the web, then turns that information into structured context that AI can actually use.

Whether you’re working on product design, writing cold emails, researching competitors, or simply trying to keep up with the fast-moving world of AI tools, this skill gives you a serious edge.

In short, Last 30 Days helps you understand what’s currently happening in any topic—not months ago, not last year, but right now.


What Exactly Does “Last 30 Days” Do?

The idea is simple but powerful.

Last 30 Days automatically searches discussions from the past 30 days across platforms like X, Reddit, and the broader web. It then organizes those conversations into a structured research report that Claude Code can understand and use.

You don’t need to scroll through endless threads.
You don’t need to open dozens of links.
You don’t even need to read the research report yourself.

During a demo, Matt (the creator) typed in extremely short prompts—things like:

  • “Most popular rap songs right now”
  • “Cold email frameworks that are performing well recently”

From there, Last 30 Days did all the work:

  • It scanned Reddit discussions to see what people were actually talking about.
  • It checked X to find posts with high engagement.
  • It pulled fresh data from recent web content.

The surprising part?

Matt often doesn’t even read the research output. He simply lets Claude Code generate content based on it.

As Matt put it: AI tools and online conversations evolve faster than humans can keep up.


Why This Matters More Than Ever

You might be using a prompt template today that was considered “best practice” just yesterday—but someone on X has already shared a better one this morning.

You might finish researching a product, only to find out that it shipped three major updates the following week.

The speed and density of information have exceeded what any individual can manually track.

Last 30 Days exists to solve exactly this problem.

It gives you a snapshot of the current state of reality, based on real user discussions and feedback—not outdated tutorials or generic blog posts.


A Practical Example: Cold Emails That Actually Work

In one demo, Matt described his situation very simply:

“I used to work on smart ovens. Now I’m building AI tools. I want to get invited onto Greg Eisenberg’s podcast.”

That was it.

Last 30 Days analyzed the best-performing cold email frameworks from the past month and surfaced patterns like:

  • The 3P framework
  • AIDA
  • Intent-data-triggered outreach

Claude Code then used those frameworks to generate three distinct cold emails—each with a different tone and strategy.

They didn’t feel like mass-sent templates.
They felt personal, relevant, and worth replying to.

The key insight?

Matt never studied these frameworks himself. He even admitted he had never read the underlying theories. The tool learned them for him—and immediately applied them.


From Research to Execution (Not Just Information)

Last 30 Days doesn’t stop at information gathering.

In another example, Matt explored the idea of building an enterprise alternative to Moltbot—an open-source tool that lacks features like multi-tenancy, access control, and audit logs.

He asked Last 30 Days to analyze recent discussions and use cases around Moltbot. Then he passed that research into another tool called Compound Engineering.

Within minutes, he had:

  • A complete technical architecture proposal
  • A clear plan ready for implementation

From zero idea to a build-ready document—in under 15 minutes.


The same workflow applies to design.

Matt asked a simple question:

“What web design styles are trending right now?”

Last 30 Days identified popular examples like Shopify’s Winter Edition page and Y Combinator’s new landing page.

From there, it generated:

  • A Figma-ready design prompt
  • Image-generation prompts compatible with tools like Nano Banana

It feels like standing on the shoulders of the internet’s collective intelligence—rather than starting from scratch every time.


The Real Advantage: Eliminating Information Gaps

After using many AI tools for both product development and content creation, one thing has become very clear to me:

Information asymmetry is the biggest barrier.

Some people know the latest prompt techniques. Others are stuck with methods from three months ago.
Some people are aware of recent tool updates. Others follow outdated tutorials.

That gap directly affects output quality.

Last 30 Days helps close that gap by turning fresh, real-world discussions into immediately usable knowledge.

Not something to read.
Something to use.


Why Matt Built This in the First Place

Matt’s original motivation was simple:
He wanted to keep up with how fast the AI space was moving.

New tools launch every day. New workflows are shared constantly. You could spend all day scrolling X and still miss the important stuff.

With Last 30 Days, you can capture the signal in minutes—and start building right away.

It’s not quite The Matrix moment where you instantly learn kung fu, but honestly, it’s not that far off.


How to Try It Yourself

Matt recommends:

  1. Subscribing to Claude Code
  2. Installing the Last 30 Days skill
  3. Typing /last 30 days inside Claude Code and asking about any topic you want to research

For best results, he suggests pairing it with Compound Engineering to turn research directly into project plans.

And when things break—as they inevitably do—keep a ChatGPT window open on the side. Screenshot errors, ask questions, iterate fast. That’s exactly how Matt built it himself.


The Bigger Picture

What’s truly impressive isn’t just the tool—it’s how Matt built it.

He’s not an engineer. He simply identified a problem he had and used existing AI tools to solve it. He wrote very little code. Most of the work was conversation, experimentation, and iteration with AI.

That’s the defining feature of this era:

  • Tool barriers are dropping fast
  • The real advantage is asking better questions
  • Combining tools creatively
  • Iterating faster than others

If you build products, create content, or work in any field where staying current matters, Last 30 Days is absolutely worth trying.

It won’t magically turn you into an expert overnight—but when you need to operate at the frontier, it puts you there fast.

And today, that ability may be more valuable than any single skill.