NBot

NBot

Personalized curators that surface what you care about

5.0
1 review

604 followers

NBot reads the entire internet for you - news, niche blogs, social media, forums - then kills 99% of the noise and surfaces the 1% that actually matters. It restructures chaos into clean, actionable feeds and briefings so you save hours, stay ahead of emerging signals, and make faster, sharper decisions.
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What do you think? …

Yuanhao
Maker
📌

👋 Hi Product Hunt! Thanks for checking out nbot - excited (and a bit nervous) to share this with you.

Before building nbot, our team worked on a large-scale information product with millions of users. We had a strong recommendation system and high engagement, but there was one thing we couldn’t ignore:

Every day, we received a huge amount of negative feedback about content.

Not because users didn’t want information - but because they felt they were still reading things they didn’t truly care about, or content that wasn’t valuable for them personally.

That made us step back and ask a simple question:

What if users could decide what is worth tracking - and let AI do the rest?

That question led us to build nbot.

What is nbot?

nbot is a personal AI radar that helps you continuously track the topics you care about, cut through noise, and turn scattered information into something actually useful.

With nbot, you can:

  • 🔍 Create a Curator for any topic you care about - a company, trend, policy, market, or niche interest

  • 🌐 Automatically track content across multiple sources (articles, social posts, images, videos, etc.)

  • 🧠 Build long-term topic memory - nbot remembers what matters and what doesn’t over time

  • 💬 Ask questions and explore your curated knowledge conversationally, not just read feeds

  • 🎧 Listen to updates as podcasts, so you can stay informed even when you’re busy

Instead of chasing feeds, nbot works for you in the background and delivers signal, not noise.

We believe the future of information isn’t more recommendations -
it’s intent-driven, AI-native curation built around what you actually want to understand.

We’d love your feedback:

  • What topic would you track first?

  • Where does today’s information experience feel most broken for you?

Thanks for stopping by — and happy to answer any questions 🙌

Imtiyaz

@yuanhao1 This really resonates. The problem you’re describing isn’t lack of content. It’s lack of relevance at a personal level.

The shift from recommendation-driven feeds to intent-driven tracking feels like the right direction. Letting users define what matters first, then having AI continuously filter and build memory around that intent, is a big unlock. The long-term topic memory part is especially interesting. Most tools reset context every day, which is exactly why people still feel overwhelmed.

If I had to track one thing first, it would probably be competitors and adjacent market signals. Not just announcements, but patterns over time. Hiring trends, recurring themes in blog posts, shifts in messaging. That is where real insight usually hides.

Where things feel most broken today is the fragmentation. News in one place, niche blogs in another, social chatter somewhere else, and none of it talks to each other. You end up doing the synthesis yourself.

We’re tackling a similar problem from the content discovery side with Curatora, where the goal is to cut noise and surface genuinely share-worthy signals across categories. Different angle, same pain point.

Congrats on the launch. This feels like a thoughtful take on a very real problem. Curious to see how users shape their curators over time.

Tetiana

@yuanhao1 It looks interesting! Congrats on your launch!

Yuanhao

@tetianai Thanks!

Zepeng She

Congrats on launching nbot on Product Hunt! 🎉

As an AI Product Lead, I’m super impressed by your team’s pivot from a large-scale product to solving real pain points—information overload is such a headache! The “AI radar” concept is genius, and features like multi-source tracking and podcast updates make it a lifesaver for busy folks. 😊

One tweak: consider adding a browser extension for quick content saving, so users can build curators seamlessly while browsing.

What’s your vision for expanding source integrations? Would love to hear more! 👏

Yuanhao

@rocsheh Thank you so much 🙏
Information overload is exactly the problem we’re focused on solving.
Great call on the browser extension. It’s on our roadmap. We’re also actively expanding source coverage across web, social, and long-tail content.
Would love to hear how you’d use nbot in your own workflow!

Pavel Tseluyko

Congrats on the launch!

How would I know I haven't missed anything?
Imagine you could see logs of what has been filtered and pick a % of how hard you want the algorithm to be... like "advanced configuration" with a pro plan. @yuanhao1

Yuanhao

@pasha_tseluyko You’re absolutely right. We’re actively working on making the AI’s filtering more transparent - including letting users see what was filtered out and recover anything that was mistakenly dropped. The goal is to give users more control and let them teach the AI over time.

Van de Vouchy
Hey Yuanhao, that line about users still reading things they didn’t truly care about, despite a strong recommendation system ,that’s a real insight. Was there a specific piece of feedback that hit hardest?
Yuanhao

@vouchy There were many moments like that. One that stood out was realizing how differently people feel about the same topic, even when it looks identical on the surface. Traditional recommendation systems are great at predicting popularity, but much worse at understanding individual preference and intent.

YANHAIZHU

Are curator topics additive or do they overwrite context?

Yuanhao

@jayzhu Thanks for your question. Each curator has its own isolated, accumulative context and memory. When you refine or add topics, the system builds on what it has already learned instead of resetting it. This allows curators to get more accurate and personalized over time, rather than starting from scratch after each update.

xWang

It’s great that I can share a curated thread directly with my team.

Yuanhao

@zephyrlink_i Exactly! We’re excited to see how teams end up sharing and collaborating around curators.

Bethany Gong

@zephyrlink_i That’s great to hear. Helping insights move from “interesting” to “shared” was a big reason we built this!

yuanchen wang

👋 Just tried nbot and I’m seriously impressed!
As someone drowning in newsletters, Twitter threads, and “must-read” lists, the idea of an AI that learns what actually matters to me—not just what’s trending—is a breath of fresh air.

I created a Curator for “AI regulation in the EU” and within minutes, it pulled together relevant articles, policy updates, and even niche forum discussions I’d never have found on my own. The fact that it builds long-term memory around my interests—and lets me ask questions like “What changed this week?”—feels like having a research assistant who actually gets me.

Biggest win? Listening to my daily update as a podcast while making coffee ☕️. Genius!

My first tracked topic: open-source AI infrastructure.
Where info feels most broken today? Too much noise, zero context.

Excited to see where you take this—thanks for building nbot! 🙌

Yuanhao

@yuanchen_wang Thanks so much for trying nbot. This really means a lot to us 🙏

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