Let AI search the entire web for you—I recommend you give this little tool a try.

So, there’s this project on GitHub that’s been blowing up in the AI community lately—Agent-Reach. It’s already got 37k stars and 3k forks, and they’re pushing updates almost daily.

What does it do? Basically, it gives your AI a pair of eyes so it can browse the web on its own. The devs put it like this: “Give your AI agent eyes to see the entire internet. Read and search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu—just one CLI command, zero API costs.”

No need to pay for API keys. One command and you’re querying dozens of platforms.

The first thing that popped into my head? Auto-scraping government bidding notices. My use case is pretty simple: I check a few procurement sites every day for keywords like “IT infrastructure” or “server room upgrades,” and compile any new listings. Used to take me about 20 minutes a day—opening the browser, crawling through each site, copying, pasting… you know the drill.

After setting up Agent-Reach, I just plug in the sites and keywords, tell it what fields to pull (title, date, budget), and schedule it to run every morning. Once it’s done, it spits out a neat table with all that info. I literally just go grab a coffee while it runs in the background. By the time I’m back, it’s done.

Went from 20 minutes down to like 30 seconds. If there’s something new, I forward it to my boss. If not, I just move on.

It supports a ton of platforms out of the box: RSS feeds, Xiaohongshu (Little Red Book), Bilibili, GitHub, YouTube, Twitter/X, Reddit, V2EX, podcast apps like XiaoZhouBo, Xueqiu stocks, LinkedIn… and honestly, just about any random webpage you point it at.

Plus, it’s open-source and completely free. No API subscriptions, no writing custom scrapers. Set it up once, leave it alone, and let it run on autopilot.

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