Traditional search is broken for anyone who needs to know what's happening now. Google is a finely tuned engine for surfacing established, SEO-optimized content, not the messy, real-time pulse of human conversation. By the time a topic is on a well-ranked blog, the real experts on X and Reddit have already moved on. /last30days is the antidote. It’s not another search engine; it’s an intelligence-gathering agent that outsources its ranking algorithm to millions of people voting with their time, attention, and money.
The Core Unlock: Searching People, Not Pages
The fundamental premise of /last30days is that a Reddit thread with 1,500 upvotes is a stronger signal of relevance than a corporate blog post nobody read. A TikTok with 3.6 million views says more about cultural momentum than a press release. This tool operationalizes that idea by scraping a vast array of social and technical platforms—Reddit, X, Hacker News, YouTube, GitHub, and even niche sources like Polymarket for financial odds—and then lets an AI agent synthesize the findings. The final report is weighted by what real people found interesting enough to engage with.
The technical magic that makes this possible is the "bring your own keys" model. Centralized services like ChatGPT or Gemini are limited by whatever official data partnerships they can strike. /last30days sidesteps this entirely. It runs locally as a skill for your AI agent (like in Claude Code or a terminal) and uses your personal API keys and browser sessions to access data. This is a clever and pragmatic solution to the walled-garden problem, turning a dozen disconnected platforms into a single, searchable firehose.
The list of sources is exhaustive and continues to grow, covering everything from developer consensus on Hacker News and GitHub to creator conversations on TikTok and Threads, and even academic pre-prints on arXiv. This breadth ensures you get a multi-faceted view of a topic that no single platform can provide.
In Practice: A Situational Awareness Superpower
The project’s README gives a killer example: /last30days Peter Steinberger. A Google search gets you a LinkedIn profile from 2023. This tool tells you what he’s doing this month: joining OpenAI, his recent GitHub commit velocity, a project he's building called "LobsterOS," and the sentiment about him in a 569-upvote Reddit thread. This is the kind of deep, timely context that wins meetings and informs strategy. It's not just data; it's actionable intelligence.
The tool’s versatility is another strength. The --hiring-signals flag turns it into a competitive analysis tool, inferring a company's strategic direction from its job postings. You can ask it broad, exploratory questions like /last30days what's exploding in AI agents? to get a synthesized trend report. Because it's designed as a skill for existing agents, it integrates directly into the workflow of anyone already using tools like Claude Code or command-line LLMs. It’s not another app to open; it’s a capability you add to your existing toolkit.
Rough Edges and Reality Check
For all its power, /last30days isn't without its caveats. The project's greatest strength—its reliance on a dozen external APIs—is also its greatest weakness. Social media platforms are notorious for changing or restricting their APIs, and when they do, parts of this tool will inevitably break. The high release velocity (v3.18.4 was released just last week) is a positive sign that the maintainer is actively fighting this battle, but users should expect occasional fragility.
Furthermore, while social engagement is a powerful signal, it's not a proxy for truth. Popularity can be driven by controversy, misinformation, or coordinated campaigns just as easily as by genuine insight. The quality of the final synthesis depends heavily on the AI agent's ability to discern signal from noise, a process that is largely a black box to the end-user. You're getting a snapshot of what's popular, which requires an additional layer of critical thinking.
Finally, the setup, while simple to start, requires effort to maximize. The one-line installer gets you running with public sources, but to unlock the full spectrum, you need to go on a scavenger hunt for your own API keys and tokens. The README's "30 seconds" claim for the setup wizard feels optimistic for anyone who doesn't already have their developer keys handy.
Community and The Verdict
With over 57,000 stars and a history of hitting #1 on GitHub Trending, this project has found a massive audience. The community is clearly active, and the rapid development pace shows a commitment to maintaining this complex web of integrations. The 94 open issues are a healthy, manageable number for a project this popular.
Ultimately, /last30days is a game-changer for information power users. It's a tool built for the chaotic, high-signal world we actually live in, not the sanitized, slow-moving world of traditional search. It trades the illusion of algorithmic authority for the raw, messy, but far more relevant signal of collective human interest. For the right professional, it's less of a tool and more of a personal intelligence agency.