Algorithm-driven workforce scheduling platform that optimizes labor costs.
Overview
Staffjoy was an automated workforce management and scheduling application designed for small teams within the service, hospitality, and retail sectors. Built around predictive scheduling research, the platform compiled worker availability and business rules to dynamically generate optimal shifts without manual intervention. It enabled seamless communication by letting managers publish timetables online and notify workers via automatic text messages. Following its commercial operations, the entire system architecture was completely open-sourced under permissive MIT licenses.
Founded year:2015
Founder:Philip Thomas, Andrew Clayton Hess
Team size:2-10
Popularity:A pioneer in automated scheduling algorithms, celebrated within open-source communities and tech circles as an educational infrastructure blueprint.
HQ:San Francisco, California, United States
Status:Inactive
Funding status:Acquired
Revenue source:Free
Customer type:B2B
Funding:Raised $1.7M over early-stage venture rounds, including backing from Y Combinator's inaugural Fellowship cohort.
Integrations:GitHub, Twilio SMS API, Slack, Google Calendar
Founder story
Staffjoy was co-founded in May 2015 by systems engineering and physics graduates Philip Thomas and Andrew Clayton Hess in San Francisco, California. Stemming from university algorithmic workforce allocation research, they realized retail operators wasted hours drafting manual shift rosters. The company raised institutional capital and scaled its automated scheduling tools before eventually shutting down commercial operations in 2017, choosing to release their complete software repository freely to the global developer community.
What it does
• Automates shift scheduling for hourly and frontline workers
• Tracks employee availability and manages time-off requests digitally
• Uses algorithms to optimize labor costs and ensure adequate coverage
• Sends instant SMS notifications to staff regarding schedule changes.
Who it's for
Retail Store Managers
Restaurant Operations Leads
Warehouse Floor Supervisors
Customer Support Teams
Why it works
Utilizes automated mathematical algorithm models to construct schedules in seconds
Collects shifting worker availability details dynamically across separate profiles
Dispatches instant automated text message notifications when schedules are published
Lowers total retail labor expenditures by reducing un-optimized shifts
Offers a completely open source framework with zero lock-in protocols
Growth strategies
Participating in the inaugural Y Combinator Fellowship incubation loop