ApplyWizz: Turning a Manual Service into an Operating System
Converted a manual job-application workflow into an AI-supported service and operating system.
- Bootstrapping
- Operations Design
- AI-Supported Workflows
- Team Building
Ramakrishna Chanda
Chief Operating Officer | Driving Delivery, Teams & Growth at ApplyWizz at Apply Wizz
From their time as
Chief Operating Officer | Driving Delivery, Teams & Growth at ApplyWizz
Apply Wizz • 2025
Overview
Ramakrishna helped turn ApplyWizz's manual job-application service into an AI-supported operation with 14 to 15 internal tools. In its first year, the bootstrapped company grew to about 145 employees and roughly $80K to $100K MRR.
The Story
Ramakrishna joined the founding build around a workflow the team first performed manually. The service helped job seekers identify suitable roles and complete applications with AI supporting human execution.
He focused on making the model operationally repeatable. He helped move the work from spreadsheets into 14 to 15 internal tools, building several front-end workflows with low-code applications while a dedicated technology team developed.
Cash discipline shaped the staffing model. He recruited early-career employees who already had laptops, then invested substantial time in training them on the US job market and the team's changing processes.
The operating playbook continued to change as the team learned. Ramakrishna replaced weak processes, trained people through each revision, and removed two product experiments after they failed to show demand.
Within the company's first year, ApplyWizz grew to approximately 145 employees, including 120 full-time team members. Ramakrishna reports that the bootstrapped business reached roughly $80K to $100K in monthly recurring revenue during its first six months of commercial growth.
Ownership Snapshot
Broad role
Served as Chief Operating Officer across operations, team building, and growth.
Goal
Build a scalable job-application service while maintaining positive cash flow.
Direct ownership
Owned hiring, training, workflow design, internal tooling, and operating efficiency.
Team execution
Worked with the leadership and technology teams while training an early-career workforce.