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.
NBot
👋 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:
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 🙌
Curatora
@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.
MultiDrive
@yuanhao1 It looks interesting! Congrats on your launch!
NBot
@tetianai Thanks!
This resonates. For solo founders, the real bottleneck isn’t access to information, it’s deciding what’s actually worth acting on with limited time. Curious how builders end up shaping their filters once they move from exploration into execution. Congrats on the launch.
NBot
@yaneyba Thanks so much for the support! Once you move past the initial exploration stage, you can curate your own collection of sources so your feed is purely customized to your specific interests. For the execution part, empowering users to take that next step and act on their insights is also on our roadmap. Stay tuned for updates on that front!
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
NBot
@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.
NBot
@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.
Congrats on the launch! 🙌🏻
Love the “1% that matters” approach. How does NBot decide what makes it into that 1%?
NBot
@npmitaart Thank you! Right now, NBot decides what makes it into that 1% by combining your stated intent with the curator’s accumulated memory from past curation. That intent-plus-memory loop is core to how NBot works, and we’re still actively improving it.
AND.CO
@NBot I've been really impressed by your team - high speed, high standards, and smart decisions. This is what an AI-first content curator should be. Congratulations on the launch! 🎉
NBot
@e_reder Thank you so much! It’s incredibly rewarding to hear that you see exactly what we’re aiming for-an AI-first approach to curation. I’m immensely proud of the team’s dedication to keeping standards high and moving fast. Cheers to building the future of content together! 🚀
NBot
@anishsharma Thank you! We’re still actively improving nbot’s curation algorithms and would really appreciate your feedback as you try it out.