Introducing Bird SQL, a Twitter search interface that is powered by Perplexity’s structured search engine. It uses OpenAI Codex to translate natural language into SQL, giving everyone the ability to navigate large datasets like Twitter.
www.perplexity.ai/sql

With Bird SQL, you can quickly find information on Twitter that would have been impossible to find with conventional search engines or web browsing:
"most liked tweets about #worldcup"
www.perplexity.ai/sql?uuid=9b03e6ac-1899-4877-a180-88d76d1eb4ef

Search through top content:
"most liked tweets of all time"
www.perplexity.ai/sql?uuid=05f6bdd6-07b7-43ec-ad5f-20f82064faae

Find new users to follow:
"top astrophysicists"
www.perplexity.ai/sql?uuid=1492d123-dc05-4ea3-bedf-9aea8a918749

Filter down to content you’re curious about:
"tweets about chatGPT liked by Elon Musk"
www.perplexity.ai/sql?uuid=0a67588c-2ecb-4696-88cf-4aa321cf3a96

Search your favorite topics:
"top posts about ChatGPT"
www.perplexity.ai/sql?uuid=ea707337-e136-42d8-8980-d3be58f644da

Analyze social graphs:
"People followed by Jeff Bezos who don’t follow him back"
www.perplexity.ai/sql?uuid=b37ef4da-c58a-4b4e-98fa-ad6e1b0f8b96

Analyze how people engage:
"people Sam Altman engages with the most"
www.perplexity.ai/sql?uuid=d46003a6-9c5d-4c7c-96fe-e47b18733d85

If you are interested in using our search engine on your structured or unstructured data, contact us at support@perplexity.ai, our Discord server, or via Twitter. Join our Discord to learn more about search and large language models: discord.com/invite/kWJZsxPDuX

This is a demo, not a commercial product. There are limitations to our Twitter data, database performance, and the expressiveness of SQL. Bird SQL does not interpret the content of tweets. For unstructured search, try Perplexity Ask.