Case Study: Shivani Shah builds a LinkedIn command center with Buffer's API

A Buffer Case Study

Preview of the Shivani Shah Case Study

Shivani Shah builds 2 weekly LinkedIn tools with Buffer's API

Shivani Shah, a freelancer, sought to automate her LinkedIn content strategy and create a searchable archive of her posts. Her challenge was manually tracking her posting activity and being unable to easily search her past content for insights. She turned to Buffer and its API, using it alongside AI assistants to build custom tools.

The solution involved using Buffer's API to build two tools: a Slack bot that delivers a weekly recap of her LinkedIn posting activity and a personal content library app. This gave Shivani automated accountability and a powerful, searchable archive of her work. The result was a fully automated system she uses weekly, eliminating manual tracking and providing valuable analytics, all built without prior coding experience thanks to Buffer's API.


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