title: @mvanhorn:
I run it on a company before a sales call. On a person before a meeting. On ...
author: mvanhorn
content_type: twitter_article
published: 2026-03-04T18:57:35+00:00
source_url: https://x.com/mvanhorn/status/2029270046401331447
word_count: 2230
I run it on a company before a sales call. On a person before a meeting. On a product the day it
I run it on a company before a sales call. On a person before a meeting. On a product the day it drops. On a tool before I learn it. On a technology before I build with it.
It's called /last30days . It has 3.4K stars on GitHub. It runs in Claude Code and Open Claw. And it has changed how I prepare for meetings, scout trends, learn new tools, and make technical decisions.
Here's what it does: it searches Reddit, X, YouTube, TikTok, Instagram Reels, Hacker News, Polymarket, and the web in parallel. Eight platforms, about a few minutes. But that's not the magic. The magic is what happens after.
Every result gets scored by social signal. Reddit upvotes. X likes. YouTube views. TikTok engagement. Instagram reach. Polymarket odds backed by real money. Then an LLM synthesizes the highest-signal content across all eight sources into one brief. It's not just searching. It's judging what matters based on what real people are actually engaging with.
The difference between this and Perplexity or ChatGPT search: those tools search the web. /last30days searches the web too, but the web is just one of eight signals. The other seven are where real people are actually talking. The most powerful signal isn't what ranks on Google. It's what's getting upvoted, liked, viewed, and bet on right now.
Social relevancy, not SEO relevancy.
My friend Dave Morin (OpenClaw Foundation board member, Offline Ventures founder, my old boss at Path and Apple) told me the name is a challenge. "It doesn't feel like a deep research tool," he said. "It's the social deep research tool." He's right. And he still asked me for the best use cases. Here are seven real ones from this week, starting with Dave himself.
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1. Run It on a Person Before You Meet Them
You have a meeting with someone. You want to know what they're doing right now, not their LinkedIn bio.
I ran /last30days Dave Morin on Dave. In a few minutes I had a complete picture of what he's been up to this month.
The biggest story: he's a founding board member of the OpenClaw Foundation, stepping in to ensure the project (247K GitHub stars, 47.7K forks) survives sustainably after creator Peter Steinberger joined OpenAI. He just appeared on Jason Calacanis's TWiST podcast (E2257, dropped March 3) to break down the Foundation's governance structure. And he co-organized ClawCon on February 5 at Frontier Tower. Over 700 people showed up.
His most interesting posts this month: "AI is the new UI." "Everything is energy. Do you even need the best model if you can just give a decent model more thinking budget? Whoever has abundant cheap energy wins." And "Agentic engineer by day, vibecoder by night."
That's not stuff you Google. That's scattered across X posts, podcast episodes, and community threads. /last30days found all of it.
2. Run It on a Company Before a Sales Call
You have a meeting coming up. You run /last30days on the company first.
Use case with Walmart. Ran /last30days Walmart before the meeting. In a few minutes I knew things their own sales team probably hadn't processed yet.
Amazon just dethroned them as #1 on the Fortune 500, ending a 13-year reign. Their CEO of 12 years just retired. E-commerce was up 27%. And on TikTok, #walmartfinds creators were going massively viral with spring fashion hauls getting millions of views. @4staypaid 's $20 gym shoes got 3.6M views. @cowgirlsosa was raving about Walmart fashion "popping off" at 530K views. @emileelupisella_ on TikTok: "whoever is designing your clothes right now needs a raise."
None of this was on Google News in any useful way. All of it was useful in the meeting. This is the kind of juice you want in your CRM before you walk in.
What I walked into that meeting knowing: Walmart is winning the culture war on TikTok. E-commerce is up 27% for the 15th straight quarter. The Amazon rivalry just shifted. And Polymarket gives them 4% odds of acquiring TikTok.
3. Someone's Buzzing and You Want the Full Picture
You hear a name and want to know what's happening with them right now.
Ran /last30days Jared Leto because Masters of the Universe was trending. In one brief I got the complete picture:
He's playing Skeletor in the Amazon MGM film dropping June 5. The director called it "the embodiment of toxic masculinity." 30 Seconds to Mars is pushing a 20th anniversary reissue of A Beautiful Lie, and the anniversary show TikTok from @30secondstomars pulled 6.3M views and 460K likes. Sony killed the entire Spider-Man Universe ("the community isn't exactly mourning"). And a comedian dropped a special segment called "Something is up with Jared Leto" on Instagram getting 8.4K views.
Imagine having all of this before a meeting with Leto's team. Or before writing about him. Or just because you're curious and want the real picture, not a Wikipedia summary.
4. Something's Hot on X and You Want to Go Deeper
You see a debate on X and want to understand the full landscape, not just one timeline.
Saw people arguing about "MCP is dead, long live the CLI." Ran /last30days CLI vs MCP and got the full picture across every platform simultaneously.
The post that started it: 439 points on HN, 284 comments. The core claim: a single MCP server dumps 55K tokens into context, while using a CLI directly costs 200 tokens. A 94% reduction. A Reddit user in r/mcp demonstrated it live, sparking cross-platform discussion. TikTok and Instagram creators were already making tutorials about it. Japanese dev Twitter was debating it in real time. And the emerging consensus: MCP wins for IDE integrations and enterprise auth, CLI wins for agents on desktop.
5. New Product Drops. You Want the Real Reaction, Not Press Releases.
A product launches and you want to know what people actually think, not what the press release says.
Ran /last30days Apple M5 Pro the day it launched.
The real story wasn't speed. Apple went chiplet for the first time. "Fusion Architecture" fusing two 3nm TSMC dies into one SoC. r/hardware called it "confirmed fusion (glue) design." @9chaku on X called it "quietly the most interesting silicon architecture move Apple has made." 30% CPU gain on the same process node.
HN's top thread had 825 points and 899 comments, and the vibe was mostly: "let's wait for real benchmarks." Meanwhile TikTok creators were already unboxing and Instagram Reels had 715K views worth of first impressions. Polymarket gave Apple only 4% chance of being the largest company by market cap end of March. NVIDIA at 94%.
That's the kind of multi-platform signal you can't get from a single search engine.
6. Learn a New Tool Before You Use It
You want to get good at something fast. You want what the community actually knows, not the docs.
I've been using Nano Banana Pro for AI image generation in Gemini. Ran /last30days Nano Banana Pro prompting to learn what actually works.
The biggest insight across Reddit, X, and every web guide: the "plastic AI look" is a prompting problem, not a model problem. The highest-signal Reddit thread (130 upvotes on r/aiArt) showed that switching from keyword-style prompts to structured briefs with real camera specs and lighting physics eliminates the fake look entirely. @NanoBanana 's official account (1,239 likes) demonstrated building detail incrementally with short additive sentences instead of walls of text.
TikTok creator @ifkjourney had 77K views showing multi-panel cinematic angles from a single generation. Instagram creators were posting UGC-style ad generation tutorials. And Nano Banana 2 had just dropped on Feb 26 with near-Pro quality at 2-5x the speed, free tier, and legible text rendering.
And then it ends with: "I'm now an expert on Nano Banana Pro prompting. What do you want to make? Just describe your vision and I'll write a prompt you can paste straight into Gemini."
That's part of the magic. It doesn't just dump research on you. It absorbs everything it found across all eight sources and then offers to apply it for you. I'm not an expert at AI image prompting. But after one /last30days run, my Claude session is. I described what I wanted and it wrote me a production prompt using the exact structured brief format that r/aiArt said eliminates the plastic look, with the real camera specs and lighting physics the community swears by. Copy, paste, done.
7. Research Before You Build
Before you start a coding workflow, you brief yourself on the current state of the art.
I was building email functionality into an OpenClaw agent and needed to pick an email provider. Ran /last30days AgentMail before writing a single line of code.
Found out they just shipped x402 crypto payments (671 likes on X), have an MCP server that works with Stagehand for browser agents, and are now in Google's ADK ecosystem. A Reddit user on r/openclaw described getting their agent's Gmail account banned after 48 hours and switching to AgentMail as the workaround. The founder shared on r/AI_Agents how validating the idea on that subreddit helped them get into YC S25. And a security concern from @warpalicious_ on X: their agent signed up for Notion and could join shared workspaces, so they opted for a self-hosted mail server instead.
That's the kind of context that changes how you architect something. I fed the /last30days output directly into my next Claude Code workflow. It's like giving your AI pair programmer a current events briefing before you start building. Instead of coding based on six-month-old training data, you're building with the latest community consensus, real tradeoffs, and the problems people are actually hitting right now.
Why This Works
Every one of those examples took a few minutes. Eight sources running in parallel. Reddit gives you the unfiltered community reaction. X gives you the hot takes and the experts. YouTube gives you the longform analysis. TikTok gives you the creators reaching millions of people with takes you'll never find on Google. Instagram Reels gives you the influencer perspective with spoken-word transcripts. Hacker News gives you the technical depth. Polymarket gives you where real money is being bet. And the web fills in the editorial coverage.
No single source gives you the full picture. The magic is in the intersection. And then the LLM judges it all, weighted by social signal. A Reddit thread with 1,500 upvotes matters more than a blog post nobody read. A TikTok with 3.6M views is a stronger signal than a press release. The synthesis isn't just "here's what I found." It's "here's what matters, ranked by what real people actually engaged with."
When @cowgirlsosa on TikTok is saying Walmart fashion is "popping off" to 530K viewers and r/walmart is simultaneously debating self-checkout removal and Polymarket is pricing Walmart's TikTok acquisition odds at 4%, that's a level of signal that no search engine or news aggregator can replicate. Because they don't look where real people are talking.
This is what I used to use Google News for. Except Google News never pulled up TikTok creators with 3.6M views or Polymarket odds or Reddit threads with 900 comments.
Bonus: I Used /last30days to Write This Headline
I wasn't sure what to title this article. So I ran /last30days x article headline titles to go viral and let it research the current state of viral headline strategy across every platform.
Here's what it found: 73% of analyzed viral tweets contain three elements: a hook in the first 7 words, a personal story or data point, and a clear takeaway. Readers absorb the first 3 and last 3 words of any headline, making 6 words the sweet spot. Per Buffer and Tweet Archivist.
The formulas that actually work right now, per r/marketing and r/copywriting:
Bold contrarian:
"[Thing everyone does] is overrated. Here's what works instead."
Curiosity gap:
"I spent $50K learning X. Here's everything I learned."
News hijack:
"[News Event] just happened. Here's why this changes everything."
Specific numbers:
"Cut hiring time by 40%" beats "Improve hiring efficiency"
Second-person "you/your"
language dramatically increases engagement
And one big anti-pattern: headline/article mismatch. A huge thread on X right now is people angry about misleading headlines. @tleehumphrey called out @nationalpost for a headline that didn't match the article. The lesson: viral headlines that deliver on their promise get shares. Clickbait that doesn't deliver gets ratio'd.
@journalismdecoded on TikTok nails the key distinction: a headline sells the click, a title describes content. On X Articles, your headline IS your tweet preview. It has to stop the scroll on its own.
So I applied the research to itself. Hook in the first 7 words: "I Built a Research Tool." Personal story: "Changed How I Do Almost Everything." And every example in this article delivers on the headline's promise.
That's the whole point. Run one command, become informed enough to act. Whether that's walking into a meeting, learning a tool, building something, or writing a headline for the article about the tool that wrote the headline.
/last30days v2.8 is open source. Eight sources. TikTok and Instagram both powered by ScrapeCreators API.
@slashlast30days · github.com/mvanhorn/last30days-skill