I built a Bloomberg Terminal for culture. Not because I am an engineer -- I am not. I am a strategy director from the advertising world. But I spent years watching cultural intelligence get scattered across dozens of tabs, newsletters, group chats, and gut instinct. So I built the thing I wished existed.
This is how CultureTerminal works, why it is built the way it is, and what I learned making it.
The Problem
If your job touches culture -- brand strategy, advertising, design, media, creative direction -- you already know the problem. Cultural intelligence is everywhere and nowhere at the same time.
To genuinely understand what is happening right now, you would need to check Business of Fashion, Dezeen, Wired, Highsnobiety, Fast Company, It's Nice That, The Verge, Wallpaper, Creative Review, and maybe fifty more sources. Every day. Then you would need to figure out which stories actually matter, which ones are noise, and which ones connect to something bigger.
Nobody has time for that. So most people rely on vibes. They check two or three sources they trust, scroll Twitter for a bit, and hope they are not missing anything important. Sometimes that works. Often it does not.
The signal gets lost in the noise. And in a world where brands live or die by cultural relevance, that is a real problem.
The Architecture
CultureTerminal is not complicated in concept. It does three things: it collects, it scores, and it interprets. But each of those steps is designed to solve a specific problem that I kept running into when trying to stay on top of culture.
Collect: 100+ RSS Feeds, Updated Every 2 Hours
The platform monitors over 100 RSS feeds from the publications and sources that define cultural conversation. Fashion, brands, design, architecture, music, art, technology, lifestyle, food -- every vertical that matters. Every two hours, the system pulls in new articles, deduplicates them, and prepares them for scoring. This is not a firehose approach. Every source was hand-selected because it consistently produces content that advances cultural understanding. No aggregator spam. No content farms. No filler.
Score: The Culture Index (0-100)
Every article that enters the system gets scored out of 100 across five dimensions. The Culture Index is not a quality judgement -- it is a measure of cultural relevance. How much does this article matter to someone trying to understand what is happening in culture right now? The score is algorithmic, consistent, and transparent. No editorial bias. No subjective favouritism. Just a clear, repeatable system for separating signal from noise.
Interpret: The Signal
Raw data without interpretation is just a spreadsheet. The Signal is CultureTerminal's AI-generated editorial layer. It looks across the day's highest-scored articles and picks out the one insight that matters -- the pattern, the convergence, the shift that connects disparate stories into something meaningful. It is the "so what?" that turns data into intelligence.
Connect: Story Clustering and Brand Momentum
When three different publications cover the same story from different angles, that is not a coincidence. That is convergence -- a signal that something real is happening. CultureTerminal clusters related stories together so you can see when a topic is building momentum across the cultural landscape. Similarly, brand momentum tracking shows which names are rising and falling across all coverage. Not stock prices. Cultural presence.
The Five Dimensions of the Culture Index
The scoring system is the engine of the whole platform. Each article is evaluated across five dimensions, each worth up to 25 points, adding up to a total score out of 100. Here is what they measure and why I chose them.
Relevance (up to 25 points) -- How many cultural categories does this article touch? A story about Jony Ive designing a hotel lobby hits design, architecture, brand strategy, and hospitality simultaneously. A story that only touches one category scores lower. The logic is simple: the most culturally significant stories are the ones that sit at intersections. When fashion meets technology meets sustainability, that is where real shifts happen.
Freshness (up to 25 points) -- How new is this? Articles published within the last six hours get full marks. The score decays from there. Anything older than 72 hours scores zero. CultureTerminal is about what is happening now, not last week's takes repackaged. This dimension alone filters out an enormous amount of noise.
Authority (up to 25 points) -- Not all publications carry the same weight. Business of Fashion, Fast Company, and Wired consistently produce original reporting and deep analysis -- they score highest. Sources like Dezeen, The Verge, and Forbes are strong but sit a tier below. Niche but valuable outlets earn fewer points. This is not snobbery. It is a recognition that original reporting has more signal value than aggregated content.
Brand Signal (up to 25 points) -- Does the article reference specific brands? A story about LVMH's restructuring that mentions Louis Vuitton, Dior, and Celine scores higher than an abstract industry think piece. Brand mentions indicate that real commercial forces are in play -- that this is not theoretical but actually happening in the market.
Depth (up to 25 points) -- Is this a 200-word news brief or a 3,000-word investigation? Longer, more analytical pieces score higher. Not because length equals quality, but because depth tends to correlate with insight. A deep feature is more likely to contain the kind of analysis that changes how you think about a topic.
A score of 80 or above means the article hits hard across most dimensions -- it is fresh, from a strong source, touches multiple cultural categories, references real brands, and goes deep. That is rare. Most articles land between 40 and 65. Anything above 70 is worth your attention. Anything above 85 is a piece you should read immediately.
The Signal: Data Without Interpretation Is Just Noise
The Culture Index gives you the scores. The Signal gives you the meaning.
Every day, CultureTerminal's AI editorial layer analyses the highest-scoring content and produces a synthesis -- a single insight that connects the dots. It is not a summary. It is not a round-up. It is interpretation. The kind of thing a very well-read strategy director might say if they had read every important article published that day and had ten minutes to tell you what matters.
This is the part that matters most to me, honestly. Anyone can build an aggregator. The hard part is making sense of what it all means. That is what The Signal tries to do -- and it is where the strategy brain comes in. I spent fifteen years decoding brand briefs, consumer research, and cultural trends for a living. The scoring algorithm and The Signal are just that same pattern recognition, automated.
What I Learned Building This
I am not an engineer. I have never worked at a tech company. I built CultureTerminal using AI tools -- specifically Claude Code -- without writing code in the traditional sense. I directed the build the way a creative director directs a campaign: with a clear vision of the outcome, strong opinions about the details, and an understanding of the audience.
Here is what surprised me: the skills transfer almost perfectly.
Pattern recognition is pattern recognition. Whether you are reading a brand brief and spotting the tension that will become a creative strategy, or designing a scoring algorithm that separates culturally relevant articles from noise, you are doing the same thing. You are looking at a mess of inputs and finding the signal.
Audience intuition works the same way too. In advertising, the best strategists instinctively know who something is for and what they need before the research confirms it. Building a product uses exactly the same instinct. Who is this for? What do they actually need? What will they use and what will they ignore?
The technical side -- the feeds, the scoring logic, the deployment pipeline, the automated updates -- all of that is solvable. The hard part is taste. Knowing which sources to include. Knowing how to weight the scoring so it produces results that feel right. Knowing when the AI-generated editorial voice sounds insightful versus when it sounds like marketing copy. That is not engineering. That is the same judgement call a strategy director makes every day.
If you have spent years understanding how culture works -- how trends move, how brands gain and lose relevance, how signals emerge before they become obvious -- you already have the most important skill set for building something like this. The code is the easy part. The taste is what makes it work.
What Is Next
CultureTerminal is live and updating every two hours. But it is still early.
The newsletter -- The Cultural Interface -- delivers a weekly briefing with the top-scored articles and one prediction about where culture is heading. That is the most accessible way to use the platform right now.
Beyond that, I am exploring deeper analysis tools: sector-specific views that let you drill into just fashion, or just design, or just brand strategy. Historical trend lines that show how cultural attention shifts over weeks and months. And possibly an API for teams that want to plug cultural intelligence into their own workflows.
The ambition is simple. If Bloomberg is where you go to understand what is happening in markets, CultureTerminal is where you go to understand what is happening in culture. One screen. Everything scored. The signal already separated from the noise.
Try It
If you work in brand strategy, advertising, design, media, or any field where understanding cultural momentum matters -- this was built for you. The CultureTerminal dashboard updates throughout the day. The Today view shows you what scored highest in the last 24 hours. And the newsletter gives you the weekly summary.
If you want to know what is happening in culture before everyone else, this is where to start.