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.
I’d like to sync my reading history from other apps into nbot’s learning model.
NBot
@bynanbell That’s a brilliant idea. Do you have a few specific apps in mind? We’d love to explore how we could import reading history into nbot.
BrainyAI
Overall, this feels like an intelligent layer on top of news and feeds.
NBot
@aiden_ai Thanks so much! That’s exactly what we’re aiming for - less noise, more signal. We want to help users turn that constant stream of info into actual insights they can act on.
Congrats on the launch! Love how this turns internet chaos into a clean, actionable signal—huge time saver.
NBot
@rachit_nigam Thank you so much! We’d love to hear your feedback once you’ve had a chance to use it - we take every piece of user feedback seriously.
Congratulations on the launch. This is interesting and necessary use case. I was trying to figure out a way to tune perplexity to do that without much success.
NBot
@prashkom Thanks so much! We’re actively working to make nbot better, and we’d really welcome your feedback as you try it. We take user input seriously!
Dirac
What's Nbot's biggest strenght compared against say, Chatgpt Pulse
NBot
@peterz_shu They’re definitely similar in spirit. Our focus with Nbot is to go deeper on content-specific optimization - long-running topic tracking, multi-source ingestion, and continuous curation rather than being a general add-on to chat. We’re also aiming to keep pricing very competitive so this kind of workflow is accessible to more people.
Dirac
@yuanhao1 Sounds amazing, great path
Personalized content curation is underrated. How does it learn preferences - explicit training or usage patterns? RSS integration?
NBot
@lakitu001 We already support RSS as a delivery channel and will soon support RSS as an input channel. User can talk to the curators to train them, and we also provide thumb up/down buttons.
Congrats on the launch and this is something solving a real pain point, especially with the crazy amount of content available and generated now. Well done!
How do you deal with copyright issues on the content you are scrapping?
Can your users leverage what the radar is extracting and use that content
Thanks!!