Sequoia Capital
Social Media Metric Analysis
About
On a contract with Sequoia's early-stage scouting division, I led a project to surface promising startups from live Instagram and Twitter data.
The job was to turn scraped social data into investment signals the scouting team could act on before a startup showed up in standard deal flow.
Process
Data sourcing and structuring
Worked with Sequoia's data team to clean and structure scraped social data for accuracy and recency.
Signal mapping
Designed a framework that separated real traction from noise using activity levels, engagement patterns, and audience growth.
Use case development
Built scouting use cases around company growth markers to filter outreach and portfolio candidates.
Reporting
Delivered reports and dashboards showing which startups were gaining ground and why.
Outcome
The scouting team used the signals to reach founders earlier in the cycle, ahead of their appearance in standard deal flow.