How to use Buzzberg

Buzzberg collects public statements made by market participants on YouTube, X, Reddit, Substack and other sources, and structures them by authors, tickers, ideas and theses. Every idea is linked to its original source. This guide walks through the workflow: find authors, set up your Feed, review ideas and notable tickers, then check the overall market mood. If you already know the author or ticker you need, start with search.

Step 1

Find interesting authors

The Speakers section has a leaderboard of the authors Buzzberg tracks — it is a convenient place to start. For every author you can see their specialization, current focus, expressed positions, recent activity and how their views have evolved. Sorting and metrics help narrow the list down to the markets, sectors or assets you care about. Authors you like can be added to your Feed right away.

Step 2

Build your feed

Once you have picked interesting authors, set up your Feed for the task at hand. A Voice Feed combines selected authors and sources, while a Ticker Feed follows selected tickers. For example, you can separately track a few macro authors, semiconductor sources, or the assets of a single sector. Telegram notifications are configured per collection and can be delivered to a private chat, a group or a channel.

Step 3

Review ideas and tickers

Ideas collects concrete ideas extracted from authors' publications: each one has a ticker, a direction, a thesis and a link to the original source. Here you can filter ideas by the parameters you need, compare different authors' positions on the same ticker and save what matters to Saved. When you want to step beyond individual positions and see the overall activity around tickers, open Market Radar. It condenses many ideas into a single picture and highlights the assets where strong authors' views converge or where discussion is most concentrated. Top Calls completes the picture with performance, showing the ideas with the strongest results over the selected period.

Step 4

Gauge the market mood

Sentiment shifts the focus from individual ideas and ticker activity to the structure of the overall mood. The section shows which way the tracked authors lean and how their opinions are distributed across themes, sectors and tickers. This makes it clear whether a specific position is part of a broader mood or stands alone. Mindshare complements this view by showing how attention is distributed.

Step 5

Connect Buzzberg to an AI assistant

With MCP you can continue working with Buzzberg data outside the site — in Claude, Codex, Cursor and other compatible AI clients. Once connected, the assistant gets access to the platform's structured data collected from YouTube, X, Reddit, Substack and other sources: it can find ideas and authors, compare positions on a ticker, build market summaries and run your own monitoring scenarios. MCP access is activated by code for registered users; your personal key and connection instructions live in your account on the MCP page.

Sections

Speakers — authors, their specialization, current focus, expressed positions, activity and the evolution of their views. The section includes a leaderboard ranked by Alpha Score.

Feed — the section where you configure your own content streams: by authors and sources in a Voice Feed, by selected tickers in a Ticker Feed.

Ideas — ideas extracted from authors' publications: ticker, direction, thesis and a link to the original source; here you can filter, compare positions and open individual ticker pages.

Market Radar — two ticker views: Alpha Signals weighs idea directions, authors' positions in the Speakers ranking and the number of independent authors; Most Buzzed shows the tickers with the broadest author attention.

Top Calls — ideas with the strongest positive or negative result over the selected period.

Sentiment — the distribution of tracked authors' opinions and moods across themes, sectors and tickers. The Mindshare mode shows how attention is distributed.

Callfolio — a compact view of AI interpretations of publicly expressed ideas, grouped by authors and tickers. It lets you see the positions and theses linked to a specific author or asset in one place.

Strategy Lab — Buzzberg's daily AI portfolio: positions, allocation, theses and performance over time.

MCP — connects Buzzberg data to Claude, Codex, Cursor and other compatible AI clients. Through it an assistant can find ideas and authors, compare positions on tickers, build market summaries and run custom monitoring scenarios. Access is activated by code; your personal key and instructions live in your account.

Frequently asked questions

What is Alpha Score?

A comparative score from 0 to 100: it ranks authors by the results of their evaluated ideas and accounts for how much data has accumulated per author. It is a reference for comparing authors, not a forecast.

How is Feed different from Ideas?

Feed shows the original materials from your selected sources. Ideas shows the directional ideas and theses extracted from those materials. One material may yield several ideas or none.

What does confidence mean?

Buzzberg's confidence that a directional idea by the author was recognized in the material. The Score filter works on this value.

What is First Call?

A filter that shows only the first-ever mention of a ticker by an author, or a change of the author's direction on that ticker. Useful for separating the new from repeats.

How do I get MCP access?

MCP access is activated by code for registered users. After activation, your personal key and connection instructions are available in your account on the MCP page.

How do notifications work?

Notifications are enabled per collection and arrive in Telegram — in a private chat, a group or a channel. For author/source collections you can limit them to materials with ideas, or to first mentions and position changes.