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CFDB
Chilean football data, ready for AI agents
CFDB (Chilean Football Database) connects AI agents with structured, verified data about Chilean football. Explore historical and current matches, standings, teams, competitions and head-to-head records through natural-language questions. Built for fans, journalists, analysts and developers who want to compare campaigns, uncover trends and automate reports in Spanish.
Hi Product Hunt! 👋
CFDB was born from a simple problem: reliable information about Chilean football is scattered across websites, historical archives and incomplete sources, making it difficult for AI agents to answer detailed questions accurately.
CFDB (Chilean Football Database) transforms that information into structured, verified data that AI can actually work with. It covers Chilean Primera División from 1933, Copa Chile from 1958 and other national competitions, alongside current results.
With CFDB, an AI agent can answer questions such as:
• How do Colo-Colo’s 1991 and 1998 campaigns compare?
• Does Universidad de Chile perform better at home or away?
• How has a rivalry changed across different decades?
• What is a team’s recent form ahead of its next match?
CFDB goes beyond answering individual questions. It also supports comparisons, historical analysis and automated reporting for fans, journalists, analysts and developers.
The project is currently free and still growing. We’d especially appreciate your feedback on the usefulness of the data, the questions you would ask and the integrations you would like to see next.
Thanks for checking out CFDB! ⚽
About CFDB on Product Hunt
“Chilean football data, ready for AI agents”
CFDB was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #142 on the daily leaderboard. CFDB (Chilean Football Database) connects AI agents with structured, verified data about Chilean football. Explore historical and current matches, standings, teams, competitions and head-to-head records through natural-language questions. Built for fans, journalists, analysts and developers who want to compare campaigns, uncover trends and automate reports in Spanish.
On the analytics side, CFDB competes within Sports, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how CFDB performed against the three products that launched closest to it on the same day.
Who hunted CFDB?
CFDB was hunted by Ignacio. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of CFDB including community comment highlights and product details, visit the product overview.
Ignacio