These are meant to be copied directly into your AI agent. Buzzberg provides
the source data; the agent writes the read.
24h Twitter/X
Top-speaker market TLDR
Use Buzzberg to summarize the last 24h of top-50 speaker tweets.
What are the main themes, crowded trades, new tickers, and disagreements?
Quote examples.
Useful for finding what high-signal market accounts are suddenly talking about.
YouTube transcripts
First and second-order effects
Use Buzzberg to read YouTube transcripts from the last 24h.
Find first-order and second-order effects from today's market discussion.
Which tickers benefit directly, which suppliers or competitors are second-order plays,
and what risks are speakers worried about?
Good after earnings, macro prints, or big AI-infrastructure moves.
Newsletters
Substack thesis extraction
Use Buzzberg to read public Substack/newsletter text from the last 24h.
Give me a market TLDR, strongest ticker narratives, key evidence, and weak claims.
Separate hard data from vibes. Quote examples.
Turns long-form writing into a fast thesis map.
Ticker deep dive
Narrative quality check
Use Buzzberg to analyze NOK.
Who mentioned it recently? What is the bull thesis?
What are the risks or missing bear arguments?
Is this early discovery or already crowded?
Best for deciding whether a ticker has real narrative momentum or just noise.
Leaderboards
Most buzzed tickers
Use Buzzberg to find the most mentioned tickers in the last 24h and 7d.
Which names are newly accelerating, which are already crowded,
and which have strong sentiment but low attention?
Useful for watchlist generation before the market opens.
Charts
Sentiment vs price
Use Buzzberg to build a 30d sentiment vs price read for NVDA.
Compare daily mentions, average sentiment, and price.
Does sentiment lead price, confirm the move, or lag after the move?
Good for spotting attention spikes, exhaustion, and narrative ignition.
Contrarian scan
Where smart speakers disagree
Use Buzzberg to scan for tickers with the biggest sentiment disagreement this week.
Show the bull camp, bear camp, strongest quotes, and what would prove each side wrong.
Finds volatile setups where the argument matters more than the headline.
Keyword mining
Repeated words and hidden themes
Use Buzzberg Twitter data from top-50 speakers.
How many times did they mention "bottleneck", "power", "AI capex", and "memory"?
Quote examples and map each theme to tickers.
Useful when the trade is in the vocabulary before it is in the price.