How I Stay Current Without a Research Budget
Most of the paid research tools I’ve seen charge for things that are available free if you know where to look. What follows is the actual stack I use, the specific tools I return to when I need to understand what’s shifting, whether my content is reaching the right people, and what the technology I write about actually does.
I track what is trending
A researcher needs to balance what they know with what the world wants to know. That’s why it’s always a good idea to balance your own material with what’s currently trending.
I use Feedly as a filtered RSS layer for trending topics and publications.
TrendRecon sits alongside Feedly as an early-signal resource, collecting topics before they become saturated.
Qwoted is a platform where journalists are looking for expert commentary on specific topics. Reading the requests tells you what stories are being written this week. You don’t have to respond to every one. Just reading the feed is its own kind of trend monitoring.
Once a year, I read the Reuters Institute Journalism, Media and Technology Trends and Predictions report. The report is produced by Oxford and based on surveying editors, journalists, and platform executives across dozens of countries. It tells me what’s actually changing in how content gets produced and consumed, which informs everything else I do at the strategic level.
I get my content in front of the right people
Writing well is only part of the problem. Distribution is a system, and two tools help me understand and manage mine.
LinkedIn keeps an “inferences” file on you. Most people don’t know it exists. It shows how LinkedIn has tagged you, namely your job, interests, traits, and what the platform thinks you’re good at. To get it: Settings → Data Privacy → Get a copy of your data → select “Inferences.”
LinkedIn distributes your posts partly based on who it thinks you are. If it has mislabeled you, your writing lands in the wrong feeds regardless of how strong the post is. Download the file, compare it to how you actually want to be known, and fix what doesn’t match.
HubSpot’s AEO Grader tests whether your name or company shows up when AI tools answer questions in your domain. You enter your name or brand alongside the industry you work in, and it shows you how visible you are in AI-generated answers. As more people start their research inside ChatGPT or Perplexity rather than Google, this is the distribution channel most people aren’t tracking yet.
I stay fluent in what I write about
I write about AI and customer service operations. Both move fast. The only way to write credibly about technology is to keep tracking and learning it.
My main asset is an AI agent I built with Claude Code. It tracks what companies release in customer service software and agentic solutions, including public product events and conferences where they demonstrate new functionality and share real data.
Every month, it creates a report and sends it to my Slack. Once I approve the content, it gets pushed automatically to my Notion knowledge base.
When I write, I work with market data I’ve collected and filtered myself, rather than whatever happens to surface in a web search. I decide which companies are worth tracking, which developments matter, and how they change my understanding of the market.
Apify lets me collect recent public LinkedIn posts on a specific topic, along with their engagement data. I use it to understand what people in my industry think about a subject and how others respond to their ideas. The comments tell me more than the reactions do. They show where people agree, disagree, challenge assumptions, or bring up problems that deserve more attention.
Anthropic’s free courses cover AI fundamentals, prompt engineering, and how large language models actually work.
After every major NVIDIA GTC conference, NVIDIA publishes the session recordings for free. The talks by Jensen Huang and the research teams are the primary source for where compute, inference economics, and AI infrastructure are heading. There’s no cleaner information on where the industry’s foundational layer is going.
DataCamp runs free workshops on emerging technologies, including specific tools, specific methods, usually connected to something that just launched or just became relevant. This is my lifetime learning platform where I learn the nuances of n8n, ClaudeCode, OpenClaw, vibecoding ,etc.
Curious Refuge maintains a comparison of AI tools for visual arts. I love crafting compelling visual narratives for some of my writing, and that’s the page where I get the latest updates on which tool to choose.
If you’d like me to build a similar automated system for you or your business, reach out to kateryna@rigel.studio.