Side Hustle Economy
Track the gig & side income revolution
Track this
Build Trackers forWhat Matters to You
What Matters to You
Discover gems, filter noise, and stay ahead in any topic.
What People Are Tracking
Join thousands tracking these popular topics
OpenClaw Watch
The open-source AI agent revolution
Track this
Side Hustle Economy
Track the gig & side income revolution
Track this
Epstein Files Watch
Tracking the unsealed documents
Track this
NBA Trade Deadline
Every deal, rumor, and winner
Track this
Hurricane Milton Tracker
Cat 5 Chaos in Florida
Track this
Follow the Fed
Stay ahead of monetary policy
Track this
Bitcoin Watch
All things BTC
Track this
Gold Rush
Precious metals tracker
Track this
Nuclear & Uranium
Powering the AI revolution
Track this
— or track your favorite sources —
Step 1: Describe
Just tell NBot what
you're looking for.
Forget complex boolean search strings or RSS management. Simply tell NBot what you’re interested in and it will build the perfect tracker for you.
- Understands niche technical terminology
- Automatically identifies top sources
- Suggests related topics to expand coverage
New Tracker Setup
I need to track the latest advancements in solid-state battery manufacturing, specifically focusing on dry-coating processes.
I can help with that. I've found key sources in academic journals (Nature Energy, Joule) and industry news covering companies like Tesla and Volkswagen.
Would you like me to include patent filings as well?
Yes, and also track...
ML Research Tracker2h ago
Sparse MoE models like Mixtral 8x7B are outperforming dense models in reasoning tasks while maintaining 40% lower inference costs.
Key breakthrough involves dynamic routing algorithms that minimize expert collapse.
The Rise of Mixture-of-Experts Models: A comprehensive survey
Step 2: Discover
Cut through the noise
to uncover real insights.
Your tracker monitors news outlets, newsletters, RSS feeds, niche blogs, and social media discussions – extracting core arguments, highlighting new data and key data points, and providing citations so you can verify instantly.
AI Summaries
Context-aware summaries that explain *why* it matters.
Direct Sources
One click to the original source material.
Step 3: Refine
Chat with your feed
to make it perfect.
Your tracker isn't static – it's an active agent. Use the built-in chat to ask questions or adjust your tracker in real-time.
"Can you summarize the main arguments against this approach?"
Instant Q&A on any topic in your feed.
"Stop showing me financial reports. Focus on engineering blogs."
Dynamic re-prompting of your tracker.
Feed Assistant
Change focus: prioritize engineering blogs over financial news.
Understood. I've updated your content filters.
Financial Reports Engineering Blogs
Trending Now
See what the community is tracking right now. Real AI trackers, real-time insights.
Explicit Camera Control in Video World Models
Viewpoint is becoming something models are told to follow, not something they guess from a prompt. Existing methods, one paper notes, leave view modes...
ClinVerse: Testing Medical AI Beyond Exam Questions
Most medical AI agents are still trained and tested on static question-answering drawn from licensing exams. Real diagnosis is different: physicians...
Testing Whether AI Assistants Can Really Guide People
Egocentric AI assistants on wearables, powered by multimodal models, can see what you see and give instructions for physical tasks. Testing them,...
Independent Work Grows as Companies Seek Specialists
MBO Partners' 2026 research points to a two-sided shift:
- Workers: 74.9 million Americans earn income through independent work, and full-time...
Explicit Camera Control in Video World Models
Viewpoint is becoming something models are told to follow, not something they guess from a prompt. Existing methods, one paper notes, leave view modes...
ClinVerse: Testing Medical AI Beyond Exam Questions
Most medical AI agents are still trained and tested on static question-answering drawn from licensing exams. Real diagnosis is different: physicians...
Testing Whether AI Assistants Can Really Guide People
Egocentric AI assistants on wearables, powered by multimodal models, can see what you see and give instructions for physical tasks. Testing them,...
Independent Work Grows as Companies Seek Specialists
MBO Partners' 2026 research points to a two-sided shift:
- Workers: 74.9 million Americans earn income through independent work, and full-time...
Explicit Camera Control in Video World Models
Viewpoint is becoming something models are told to follow, not something they guess from a prompt. Existing methods, one paper notes, leave view modes...
ClinVerse: Testing Medical AI Beyond Exam Questions
Most medical AI agents are still trained and tested on static question-answering drawn from licensing exams. Real diagnosis is different: physicians...
Testing Whether AI Assistants Can Really Guide People
Egocentric AI assistants on wearables, powered by multimodal models, can see what you see and give instructions for physical tasks. Testing them,...
Independent Work Grows as Companies Seek Specialists
MBO Partners' 2026 research points to a two-sided shift:
- Workers: 74.9 million Americans earn income through independent work, and full-time...
Proactive Video Agents Aim to Read Implicit User Intent
A new arXiv preprint proposes moving video models from passive understanding toward proactive interaction. Here's what it introduces:
- The gap:...
DynaFlow: Letting an Agent Build Its Own Collaboration
Most multi-agent systems rely on predefined collaboration structures. DynaFlow proposes a different approach, where the main agent decides when...
Can AI Agents Keep Up When Their Tools Change?
Most agent benchmarks assume a fixed toolbox. Δτ-Bench instead models large tool ecosystems that keep shifting, where familiar tools may disappear or...
Mastercard and MrBeast: Plans Outpace Proven Perks
Mastercard is teaming with Beast Industries to deliver co-branded programs spanning "card programs, experiences, tools and education". The article...
Proactive Video Agents Aim to Read Implicit User Intent
A new arXiv preprint proposes moving video models from passive understanding toward proactive interaction. Here's what it introduces:
- The gap:...
DynaFlow: Letting an Agent Build Its Own Collaboration
Most multi-agent systems rely on predefined collaboration structures. DynaFlow proposes a different approach, where the main agent decides when...
Can AI Agents Keep Up When Their Tools Change?
Most agent benchmarks assume a fixed toolbox. Δτ-Bench instead models large tool ecosystems that keep shifting, where familiar tools may disappear or...
Mastercard and MrBeast: Plans Outpace Proven Perks
Mastercard is teaming with Beast Industries to deliver co-branded programs spanning "card programs, experiences, tools and education". The article...
Proactive Video Agents Aim to Read Implicit User Intent
A new arXiv preprint proposes moving video models from passive understanding toward proactive interaction. Here's what it introduces:
- The gap:...
DynaFlow: Letting an Agent Build Its Own Collaboration
Most multi-agent systems rely on predefined collaboration structures. DynaFlow proposes a different approach, where the main agent decides when...
Can AI Agents Keep Up When Their Tools Change?
Most agent benchmarks assume a fixed toolbox. Δτ-Bench instead models large tool ecosystems that keep shifting, where familiar tools may disappear or...
Mastercard and MrBeast: Plans Outpace Proven Perks
Mastercard is teaming with Beast Industries to deliver co-branded programs spanning "card programs, experiences, tools and education". The article...
Self-Improving AI Agents: Modest Gains, Hard Measurement
Research on AI agents that improve over time is moving from definitions toward measurement, and the early numbers are modest.
- Agents already use...
Judging AI Agents by Their Harnesses, Not Just Models
Most agent benchmarks score the model, but this paper argues that agent effectiveness depends on both the model and the harness supporting it, and...
Successful Tool-Use Runs Aren't Automatically Good Training Data
A successful tool-use trajectory may still teach the wrong lesson. The paper notes that even successful interactions can contain actions that are...
Mailchimp Alternatives vs. Substack's Revenue Share
Mailchimp's costs have climbed for growing lists, and its free plan has been gutted. Substack's model works differently. It's free to use for free...
Self-Improving AI Agents: Modest Gains, Hard Measurement
Research on AI agents that improve over time is moving from definitions toward measurement, and the early numbers are modest.
- Agents already use...
Judging AI Agents by Their Harnesses, Not Just Models
Most agent benchmarks score the model, but this paper argues that agent effectiveness depends on both the model and the harness supporting it, and...
Successful Tool-Use Runs Aren't Automatically Good Training Data
A successful tool-use trajectory may still teach the wrong lesson. The paper notes that even successful interactions can contain actions that are...
Mailchimp Alternatives vs. Substack's Revenue Share
Mailchimp's costs have climbed for growing lists, and its free plan has been gutted. Substack's model works differently. It's free to use for free...
Self-Improving AI Agents: Modest Gains, Hard Measurement
Research on AI agents that improve over time is moving from definitions toward measurement, and the early numbers are modest.
- Agents already use...
Judging AI Agents by Their Harnesses, Not Just Models
Most agent benchmarks score the model, but this paper argues that agent effectiveness depends on both the model and the harness supporting it, and...
Successful Tool-Use Runs Aren't Automatically Good Training Data
A successful tool-use trajectory may still teach the wrong lesson. The paper notes that even successful interactions can contain actions that are...
Mailchimp Alternatives vs. Substack's Revenue Share
Mailchimp's costs have climbed for growing lists, and its free plan has been gutted. Substack's model works differently. It's free to use for free...
Explicit Camera Control in Video World Models
Viewpoint is becoming something models are told to follow, not something they guess from a prompt. Existing methods, one paper notes, leave view modes...
Self-Improving AI Agents: Modest Gains, Hard Measurement
Research on AI agents that improve over time is moving from definitions toward measurement, and the early numbers are modest.
- Agents already use...
DynaFlow: Letting an Agent Build Its Own Collaboration
Most multi-agent systems rely on predefined collaboration structures. DynaFlow proposes a different approach, where the main agent decides when...
Testing Whether AI Assistants Can Really Guide People
Egocentric AI assistants on wearables, powered by multimodal models, can see what you see and give instructions for physical tasks. Testing them,...
Successful Tool-Use Runs Aren't Automatically Good Training Data
A successful tool-use trajectory may still teach the wrong lesson. The paper notes that even successful interactions can contain actions that are...
Mastercard and MrBeast: Plans Outpace Proven Perks
Mastercard is teaming with Beast Industries to deliver co-branded programs spanning "card programs, experiences, tools and education". The article...
Explicit Camera Control in Video World Models
Viewpoint is becoming something models are told to follow, not something they guess from a prompt. Existing methods, one paper notes, leave view modes...
Self-Improving AI Agents: Modest Gains, Hard Measurement
Research on AI agents that improve over time is moving from definitions toward measurement, and the early numbers are modest.
- Agents already use...
DynaFlow: Letting an Agent Build Its Own Collaboration
Most multi-agent systems rely on predefined collaboration structures. DynaFlow proposes a different approach, where the main agent decides when...
Testing Whether AI Assistants Can Really Guide People
Egocentric AI assistants on wearables, powered by multimodal models, can see what you see and give instructions for physical tasks. Testing them,...
Successful Tool-Use Runs Aren't Automatically Good Training Data
A successful tool-use trajectory may still teach the wrong lesson. The paper notes that even successful interactions can contain actions that are...
Mastercard and MrBeast: Plans Outpace Proven Perks
Mastercard is teaming with Beast Industries to deliver co-branded programs spanning "card programs, experiences, tools and education". The article...
Proactive Video Agents Aim to Read Implicit User Intent
A new arXiv preprint proposes moving video models from passive understanding toward proactive interaction. Here's what it introduces:
- The gap:...
ClinVerse: Testing Medical AI Beyond Exam Questions
Most medical AI agents are still trained and tested on static question-answering drawn from licensing exams. Real diagnosis is different: physicians...
Judging AI Agents by Their Harnesses, Not Just Models
Most agent benchmarks score the model, but this paper argues that agent effectiveness depends on both the model and the harness supporting it, and...
Can AI Agents Keep Up When Their Tools Change?
Most agent benchmarks assume a fixed toolbox. Δτ-Bench instead models large tool ecosystems that keep shifting, where familiar tools may disappear or...
Independent Work Grows as Companies Seek Specialists
MBO Partners' 2026 research points to a two-sided shift:
- Workers: 74.9 million Americans earn income through independent work, and full-time...
Mailchimp Alternatives vs. Substack's Revenue Share
Mailchimp's costs have climbed for growing lists, and its free plan has been gutted. Substack's model works differently. It's free to use for free...
Proactive Video Agents Aim to Read Implicit User Intent
A new arXiv preprint proposes moving video models from passive understanding toward proactive interaction. Here's what it introduces:
- The gap:...
ClinVerse: Testing Medical AI Beyond Exam Questions
Most medical AI agents are still trained and tested on static question-answering drawn from licensing exams. Real diagnosis is different: physicians...
Judging AI Agents by Their Harnesses, Not Just Models
Most agent benchmarks score the model, but this paper argues that agent effectiveness depends on both the model and the harness supporting it, and...
Can AI Agents Keep Up When Their Tools Change?
Most agent benchmarks assume a fixed toolbox. Δτ-Bench instead models large tool ecosystems that keep shifting, where familiar tools may disappear or...
Independent Work Grows as Companies Seek Specialists
MBO Partners' 2026 research points to a two-sided shift:
- Workers: 74.9 million Americans earn income through independent work, and full-time...
Mailchimp Alternatives vs. Substack's Revenue Share
Mailchimp's costs have climbed for growing lists, and its free plan has been gutted. Substack's model works differently. It's free to use for free...
Explicit Camera Control in Video World Models
Viewpoint is becoming something models are told to follow, not something they guess from a prompt. Existing methods, one paper notes, leave view modes...
Proactive Video Agents Aim to Read Implicit User Intent
A new arXiv preprint proposes moving video models from passive understanding toward proactive interaction. Here's what it introduces:
- The gap:...
Self-Improving AI Agents: Modest Gains, Hard Measurement
Research on AI agents that improve over time is moving from definitions toward measurement, and the early numbers are modest.
- Agents already use...
ClinVerse: Testing Medical AI Beyond Exam Questions
Most medical AI agents are still trained and tested on static question-answering drawn from licensing exams. Real diagnosis is different: physicians...
DynaFlow: Letting an Agent Build Its Own Collaboration
Most multi-agent systems rely on predefined collaboration structures. DynaFlow proposes a different approach, where the main agent decides when...
Judging AI Agents by Their Harnesses, Not Just Models
Most agent benchmarks score the model, but this paper argues that agent effectiveness depends on both the model and the harness supporting it, and...
Testing Whether AI Assistants Can Really Guide People
Egocentric AI assistants on wearables, powered by multimodal models, can see what you see and give instructions for physical tasks. Testing them,...
Can AI Agents Keep Up When Their Tools Change?
Most agent benchmarks assume a fixed toolbox. Δτ-Bench instead models large tool ecosystems that keep shifting, where familiar tools may disappear or...
Successful Tool-Use Runs Aren't Automatically Good Training Data
A successful tool-use trajectory may still teach the wrong lesson. The paper notes that even successful interactions can contain actions that are...
Independent Work Grows as Companies Seek Specialists
MBO Partners' 2026 research points to a two-sided shift:
- Workers: 74.9 million Americans earn income through independent work, and full-time...
Mastercard and MrBeast: Plans Outpace Proven Perks
Mastercard is teaming with Beast Industries to deliver co-branded programs spanning "card programs, experiences, tools and education". The article...
Mailchimp Alternatives vs. Substack's Revenue Share
Mailchimp's costs have climbed for growing lists, and its free plan has been gutted. Substack's model works differently. It's free to use for free...
Explicit Camera Control in Video World Models
Viewpoint is becoming something models are told to follow, not something they guess from a prompt. Existing methods, one paper notes, leave view modes...
Proactive Video Agents Aim to Read Implicit User Intent
A new arXiv preprint proposes moving video models from passive understanding toward proactive interaction. Here's what it introduces:
- The gap:...
Self-Improving AI Agents: Modest Gains, Hard Measurement
Research on AI agents that improve over time is moving from definitions toward measurement, and the early numbers are modest.
- Agents already use...
ClinVerse: Testing Medical AI Beyond Exam Questions
Most medical AI agents are still trained and tested on static question-answering drawn from licensing exams. Real diagnosis is different: physicians...
DynaFlow: Letting an Agent Build Its Own Collaboration
Most multi-agent systems rely on predefined collaboration structures. DynaFlow proposes a different approach, where the main agent decides when...
Judging AI Agents by Their Harnesses, Not Just Models
Most agent benchmarks score the model, but this paper argues that agent effectiveness depends on both the model and the harness supporting it, and...
Testing Whether AI Assistants Can Really Guide People
Egocentric AI assistants on wearables, powered by multimodal models, can see what you see and give instructions for physical tasks. Testing them,...
Can AI Agents Keep Up When Their Tools Change?
Most agent benchmarks assume a fixed toolbox. Δτ-Bench instead models large tool ecosystems that keep shifting, where familiar tools may disappear or...
Successful Tool-Use Runs Aren't Automatically Good Training Data
A successful tool-use trajectory may still teach the wrong lesson. The paper notes that even successful interactions can contain actions that are...
Independent Work Grows as Companies Seek Specialists
MBO Partners' 2026 research points to a two-sided shift:
- Workers: 74.9 million Americans earn income through independent work, and full-time...
Mastercard and MrBeast: Plans Outpace Proven Perks
Mastercard is teaming with Beast Industries to deliver co-branded programs spanning "card programs, experiences, tools and education". The article...
Mailchimp Alternatives vs. Substack's Revenue Share
Mailchimp's costs have climbed for growing lists, and its free plan has been gutted. Substack's model works differently. It's free to use for free...
Frequently Asked Questions
Everything you need to know about your new AI research assistant.
What exactly is an AI Tracker?
An AI Tracker is your personal research assistant that monitors thousands of sources 24/7. Simply describe a topic you care about—like "Pre-seed AI startups in Southeast Asia" or "Rust memory safety debates"—and your tracker will continuously find, filter, and summarize the most relevant content for you.
How do I create my first Tracker?
Just tell NBot what you're interested in using natural language—no complex search syntax needed. Our AI understands niche terminology, automatically identifies top sources, and sets up your tracker in seconds. You can refine it anytime through conversation.
How does NBot find and filter content?
NBot uses advanced AI to scan news outlets, industry blogs, newsletters, and social media. Instead of just listing headlines, it reads and understands each piece, removes noise, and surfaces only what truly matters to your specific interests—complete with AI-generated summaries explaining why it's relevant.
What is Feed Chat?
Feed Chat lets you have a conversation with your tracker in real-time. Ask questions about any content in your feed, request deeper analysis, or dynamically adjust what your tracker focuses on—like saying "Focus more on technical deep-dives, less on industry news."
Can I listen to my tracked content?
Yes! NBot generates daily AI podcast summaries of your tracked feeds. Perfect for staying informed during your commute, workout, or any time you prefer audio over reading.
Can I share my Trackers with others?
Absolutely. You can make your trackers public so others can follow the intelligence streams you've built. You can also discover and follow trackers created by experts in the community—a great way to tap into tracked knowledge across different fields.
Is NBot free to use?
Yes! Our free tier lets you create up to 2 personal trackers and follow 5 community trackers—perfect for getting started. Upgrade to Plus for more trackers and Feed Chat, or go Pro for daily podcast summaries and priority support.
Ready to Track What Matters to You?
Build custom AI trackers that monitor the web for the content you actually care about.
No credit card required for free tier
Also available on mobile
