End-to-end software built and scaled around your product, from architecture to launch and beyond.
Geekbot
Geekbot is a 200,000+ user meeting automation platform that streamlines standups, retrospectives, and surveys in Slack and Microsoft Teams.
Project overview
With over 200,000 users worldwide, Geekbot brings async standups, retrospectives, and surveys straight into Slack and Microsoft Teams, helping distributed teams share updates, improve workflows, and stay attuned to morale without interrupting their day.
traffic spikes handled
10×
Client Context
Domain: Internet & AI
Location: Greece
Timeline: January 2020 – September 2022
Team: Project Manager, Senior Node.js Developer, Middle Node.js Developer
Challenges
- Scalable backend infrastructure – Support rapid growth to 200,000+ users without sacrificing reliability or performance.
- Feature velocity – Enable fast rollout of new survey and meeting tools to keep pace with evolving team needs.
- Seamless integration – Ensure robust, secure, and smooth communication with Slack and Microsoft Teams APIs.
- Data privacy & analytics – Handle sensitive responses (like anonymous surveys) with secure processing while enabling rich insights.
Tech stack
Database
Backend
Cache
Integrations & Infrastructure
Delivery Approach
Intobi joined an established product, not a blank page, so the work was strengthening Geekbot’s backend without disrupting 200,000+ active users. We rebuilt it in Node.js around microservices, secure integrations, and real-time reporting.
Assessment & planning
We looked at where the existing backend strained under growth, then prioritized the changes that would protect reliability as usage climbed.
O
Oleksandr
Project Manager
Scalable architecture
Node.js microservices replaced bottlenecks, so high-volume events process reliably and traffic spikes don’t degrade performance.
D
Danylo
Senior Node.js Developer
Secure integrations
Slack and Microsoft Teams API connections were hardened to handle complex workflows, permissions, and sensitive or anonymous responses safely.
A
Andrii
Middle Node.js Developer
Real-time reporting
Data pipelines were built to generate reports fast while respecting privacy, cutting report generation time sharply.
S
Sviatoslav
Middle Node.js Developer
Monitoring & delivery
Monitoring and alerting were wired in to catch issues before users feel them, keeping releases fast and safe across the platform.
R
Rostyslav
Senior Node.js Developer
Ready to scale your backend?
Contact usKey features
Unified meeting automation platform
Geekbot brings the entire suite of team communication tools into a single, intuitive workspace: asynchronous stand-up meetings, retrospectives, anonymous surveys, private 1-on-1 preparation, meeting notes generation, team happiness reports, and Q&A search — delivering a smoother, interruption-free workflow for distributed teams of any size.
Expanded feature set for better teamwork
Intobi enhanced the backend to support Geekbot’s rich feature set: asynchronous stand-ups that let users share daily updates at their own pace, retrospectives that help teams capture actionable insights after every sprint, anonymous surveys enabling honest private feedback, private 1-on-1s that surface important topics before meetings, meeting notes that automatically summarize discussions and decisions, and team happiness reports that track morale and engagement with intelligent analytics. Each tool ships on the same backend, so new survey and meeting types roll out fast.
Improved backend architecture
Intobi strengthened the system behind Geekbot to support large-scale adoption: Node.js microservices for a scalable, maintainable backend that processes high-volume events reliably; secure API integrations with Slack and Microsoft Teams that support complex workflows and permissions; real-time reporting data pipelines that respect data privacy; and monitoring and alerting that catch issues before they impact users.
Results
The rebuilt backend delivered gains in scale, speed, and reporting, while Slack and Teams integrations stayed secure and smooth for all 200,000+ users, including sensitive and anonymous responses.
traffic spikes handled
10×
shorter development cycle
50%
faster report generation
70%
Related Services
Did Intobi build Geekbot from scratch?
The source frames this engagement as backend development work on an established product already serving 200,000+ users, focused on scalability and feature velocity rather than an initial build.
Which platforms does Geekbot integrate with?
The case names Slack and Microsoft Teams, with dedicated secure API integrations for both.
What does Geekbot's backend run on?
The case lists Node.js, Express.js, PostgreSQL, Redis, Docker, and AWS, alongside the Slack API and Microsoft Teams API for platform integration.
How does Geekbot keep anonymous survey responses private at scale?
Sensitive and anonymous responses run through secure processing in the data pipeline, so teams still get rich morale and engagement analytics without exposing who said what.