someone just open-sourced perplexity (it's free, 40k GitHub Stars)

Income stream surfers| 00:09:29|Jun 10, 2026
Chapters6
An AI agent search engine marketplace that focuses on the past 30 days and aggregates data from multiple sources.

Open-source 'Last 30 Days' AI agent search engine offers real-time, grounded summaries from Reddit, X, YouTube and more, with MIT licensing and 40k+ GitHub stars.

Summary

Income stream surfers highlights a buzzy project called Last 30 Days, an AI agent search engine that prioritizes what’s hot in the last 30 days. Creator Peter Steinberger pitches it as a simple, install-on-anything tool that aggregates signals from Reddit upvotes, X likes, YouTube transcripts, TikTok engagement, Poly Market odds, and web results, then returns a grounded summary. The engine runs as an AI agent skill, scoring and synthesizing content across multiple platforms, and it can be used to ground searches in current, high-signal material rather than aging posts. It’s open source with an MIT license and boasts roughly 40,000 GitHub stars, which the creator attributes to its focus on timely relevance. The video notes Claude, Gemini, Google, and ChatGPT as part of its multi-model toolbox, and emphasizes parallel searching across platforms with a “world garden” of API tokens or browser sessions. A practical takeaway is its potential to replace or augment tools like Perplexity, offering lower-cost grounding by aggregating trends instead of relying on a single source. Viewers are shown how to explore the GitHub repo via a link in the description, and the host even pitches Harbor SEO’s founder pricing during the sponsor segment. In use cases, the creator mentions using Last 30 Days to brainstorm topics, track competitors, or prepare for meetings by seeing this month’s hottest signals rather than historical chatter. Overall, the video sells the tool as a faster, cheaper way to discover what actually matters now, with sharable HTML briefs and one-pass comparisons built in.

Key Takeaways

  • Last 30 Days is an AI agent search engine that aggregates signals from Reddit, X, YouTube transcripts, Poly Market, and the web to surface current topics.
  • With an MIT license and ~40k GitHub stars, the project emphasizes accessibility and community trust for timely information.
  • Multiple AI backends (Claude, Gemini, Google, ChatGPT) are used to compare and rank results in parallel, then synthesize a brief.
  • Harbor SEO sponsor mentions a practical workflow use case, including producing production prompts and exploring topics for videos or meetings.
  • The tool is pitched as a cost-effective grounding alternative to Google grounding or Perplexity, focusing on the most recent 30 days of data.
  • Users can run Last 30 Days with their own API keys or browser sessions, enabling a flexible, “world garden” of data sources.
  • The video author notes caveats about sourcing (e.g., Reddit terms of service concerns) but still sees real value for rapid competitor analysis and topic discovery.

Who Is This For?

Essential viewing for digital marketers, content creators, and product researchers who need up-to-the-minute insights and a lightweight alternative to heavy grounding services.

Notable Quotes

"Last 30 days is an AI agent search engine, but basically the way it works is it's just a marketplace or it's just a skill, right?"
Introduces the core concept and the modular nature of Last 30 Days.
"It installs on anything that you're currently using. As you can see right here, it's open source. Let's just have a look at the license. It's MIT license."
Highlights accessibility and permissive licensing.
"The reason is is that it finds recent stuff, not the stuff from ages ago that's not relevant anymore."
Explains the value of prioritizing current information.
"Last 30 days searches all of them at once. Scores them against each other and tells you what matters."
Describes the parallel search and scoring mechanism.
"This gives you up-to-date information this month instead of ages ago, like Google results that are often more evergreen."
Contrasts with traditional search results and underlines grounding advantage.

Questions This Video Answers

  • How does Last 30 Days compare to Perplexity for current-month topics?
  • Can I replace Google grounding with Last 30 Days for fast topic research?
  • What sources does Last 30 Days pull from and how reliable are they in practice?
  • Is Last 30 Days truly open source and how do I run it with my own keys?
  • What are practical workflows to use Last 30 Days for content planning and competitor analysis?
Last 30 Days AI agent search engineMIT licenseOpen source toolsReddit,X, YouTube, Hacker News, Poly Market data sourcesAI grounding and synthesisHarbor SEOPerplexity alternative
Full Transcript
What if I told you that somebody has improved and then opensourced everything that does for you? This is last 30 days, an AI agent search engine scored by up votes, likes, and real money, not editors. What does that mean? This helps you cut through the noise, either your you or your agents to find really useful things in the last 30 days. So, not what they were talked about five years ago, how they were talked about on social platforms within the last 30 days. Let's jump into things. Okay. So, what is last 30 days? Last 30 days is an AI agent search engine, but basically the way it works is it's just a marketplace or it's just a skill, right? So, it's nothing crazy. It installs on anything that you're currently using. As you can see right here, it's open source. Let's just have a look at the license. It's MIT license. I just saw it right there. It has 40,000 stars on GitHub. And the reason is is that it finds recent stuff, not the stuff from ages ago that's not relevant anymore. And a all it does is an AI agent skill that researches any topic across Reddit X, YouTube, Hacker News, Poly Market, which is E recently, and the web and then synthesizes a grounded summary. So it's a very simple system. It's open source. 40,000 stars on GitHub. Let's find out more about this tool. As usual, guys, there's a link in the description to the GitHub repo. So, just go to the description, take a look. Just before we jump into the video, guys, quick shout out from our sponsor, me. This is Harbor SEO. And I'm bringing back founder pricing. This will be your last chance to get founder pricing. Founder pricing gives you more articles, six times rollover. So, if you don't use our articles, they will roll over. Price log forever. By the way, guys, if you're someone who's recently signed up and you're seeing this, just click on messages right here and say, "Give me founder pricing, please." And then just press send message and I'll find that and I'll give you founder pricing. So, just press lock in price right here. And this is what founders get. Instead of 25 articles, they get 35 articles. Or for €49, which is a very, very popular plan, you get 75 articles. Jesus, is it 75? [ __ ] hell. Or 99 for Power of House is 150, which is absolutely crazy, guys. Then just quickly hopping over to main, which is the live website. This is crazy. I haven't updated this or haven't updated you guys in a while. 1,800 pages published, 600,000 impressions, and almost 10,000 clicks. That is crazy. I am so proud of that, guys. You cannot tell me SEO is dead. And look at that. Since I've been doing massive updates to Harbor, guys, we've got co-pilot where you can write your own articles just using chat. We've got API, we've got MCP, we've got everything, guys. Go and check out Harbor Now. There is a link in the description and in the pin comment. Let's jump into the video. Okay, so last 30 days, I'm actually looking at implementing this into Harbor for very specific things, right? But basically the reason this is so interesting is it cut through it cuts through the noise and only finds the last 30 days. So Google aggregates editors, right? So you know Google is an aggregation of all the big websites, the editors of uh all the big sites like the Guardian. We talked about this before on the channel. That's what ranks on Google. Last 30 days searches people, right? So, Reddit up votes, X likes, YouTube transcripts, Tik Tok engagement, poly market odds, backed by real money and chatter. This is so key for certain things. If you're looking for certain ways to make money online, this is invaluable. Not only that, it is really good for grounding search queries and obviously things like Google, you pay a lot for grounding. Millions of people voting with their attention and their wallets every day. Searched in parallel, scored by what people actually engage with, synthesized by an AI judge into one brief. I think this is really, really cool, I have to say. No single AI has access to all of it. Bring your own keys and an agent brings the world gardens. Beautiful. I wonder how it actually does it. So each platform is a world garden with its own API tokens and or bring your own keys and browser sessions and suddenly an agent searches all of them at once. So it searches all these websites at once. Scores them against each other and tells you what matters. So it also uses Claude, Gemini, Google, and ChatGBT. Last 30 days. So yeah, if you see it says doesn't touch Reddit comments or posts, has none of them natively. Has YouTube but not Reddit. Really, really interesting, right? So if you have all of them together, then you're synthesizing it. Last 30 days, Peter Steinberger, you have a So this is his thing, right? You have a meeting tomorrow. Google gives you is LinkedIn from 2023. This gives you this month. So it talks about the result by searching Peter Steinberger. So instead of getting his, you know, information from ages ago, you get the upto-ate information. Shipping joined OpenAI, whatever. I don't really care about that, but that's fine. Social relevancy, not SEO relevancy. This is really interesting. Social, not social media, but just social as in like what people are searching. Although as more AI posts on these platforms, is this just AI finding AI information? That's the question. Reddit, the unfiltered take, so X Twitter, you know, everyone knows all this. YouTube, Tik Tok, Hacker News, Poly Market, GitHub, plus more. I think this is really interesting. This is good for me. For example, I'll give you a use case right now. If I am trying to find topics to talk about on the channel, I use last 30 days or I can use last 30 days to find either a information or trending topics or b things to talk about in the video about a certain topic. Run it before you walk in a in the room, right? So before a meeting when something drops to compare tools to I don't know about these personally. I do think before a trip is quite interesting. do like a little what's happened in the last 30 days in the country that I'm going to. Sure. Pretty cool. Oh, and also this one's pretty cool. To learn fast nano banana prompting then it writes you a production prompt for from what works currently in the last 30 days. This is a really good use case actually finding prompts or prompts as some people call them. It's actually prompt guys. It figures out where to search before searching. Type openclaw. I don't know why all examples have to be about openclaw and stiped. and a Python research brain resolves stip the creator r/obenclaw r/claw code and the right YouTube channels and Tik Tok hashtags for a single API call fires how how would it do that without a single API call I don't know about that maybe it means API as in uh AI API but it does use other things best takes a second judge scores every result for humor width and virality the cleverest one line surface builtin. Okay, don't care about that. Faster, deeper, and more sharable. Sharable HTML briefs. Single pass comparisons. Autod discovered competitors. Okay, this is pretty cool. So, this is cool. If you're I do a lot of competitor search actually. This is really really interesting. I can feed this into Harvard today actually, which is really nice. Explain like I'm five mode free Reddit comments. Okay, that's cool. Top comments with their vote counts. No API key just works. Well, I'm pretty sure this is not okay according to Reddit's own terms of service, but good luck with that, guys. From a from a topic to here's what matters. So, you type socket the agent resolves what matters. All sources searched in parallel. Same story merge into one cluster. Synthesiz into one brief. Okay. Reddit hacking news polymarket and GitHub work immediately. Okay, here we go. Free out of the box more with your own or so yeah, this is where Okay, so it's not even super super open source. Interesting, right? The way that this was kind of shown to me was this was uh completely free, but it's open source but not free it looks like. So, scrape creators key. You could probably replace this with something like bright data if you wanted to. Um I would actually probably recommend using bright data instead. You can do that on claw code in kind of 2 minutes. Web search it uses Brave. So, um 23 for a month. I'll give them that. This is pretty much good enough for me. Uh it does actually use Proplexity Sonar, which I'm interested to see. I would probably not have. That's interesting actually that it uses that. And then this one skill replaced my entire workflow. It scrapes Reddit X and the web for what people are actually talking about, not all blog posts. Cool. I mean, yeah, whatever. These are all just [ __ ] [ __ ] things. Anyway, uh 37,000 GitHub stars. It's now almost 40,000 I think. And yeah, guys, that is last 30 days. This seems super interesting. Um particularly as a replacement to Perplexity. I'm not a fan of Complexity's API. I also will tell you that most of this can be done with Google grounding. Um, so just bear that in mind. You can just use Google Grounding for like 90% of this. The reason this is cool is because Google Grounding is very very expensive, whereas this is app API costs instead. And it uses Brave, which you get 2,000 free for a month, which is actually pretty cool, but not enough to power something like Haret unfortunately. But I could still benefit from these 2,000 free ones per month. So, I might look into that. With that being said, guys, thank you so much for watching. If you are watching all the way to the end of the video, you're an absolute legend. And I'll see you very, very soon with some more content. He's up.

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