Powrbot: Scalable B2B Company Data & Enrichment SaaS Platform
How OctSpace engineered an enterprise-grade automated company discovery engine capable of processing over 100,000 asynchronous data enrichment tasks daily without bottlenecking server memory.
Project Overview & Objective
Powrbot required an intelligent B2B company discovery and intelligence dashboard that centralizes operational workflows, enriches incomplete business data, and visualizes real-time efficiency metrics. The primary engineering challenge lay in scaling the batch scraping and data parsing pipeline without locking up the primary web application threads.
The Engineering Challenge
Traditional synchronous requests crashed under the weight of thousands of simultaneous company lookups and external API verifications. Furthermore, subscription tier gating needed to dynamically control API limits, concurrency threads, and monthly credit balances in real time with zero latency.
Our Architectural Solution
- Asynchronous Celery & Redis Queues: Engineered multi-worker Celery task queues backed by Redis to decouple heavy background scraping and data enrichment from the Django HTTP server.
- PostgreSQL Indexing & Partitioning: Optimized database query execution times from seconds to sub-50 milliseconds by structuring JSONB data indices and relational foreign keys cleanly.
- Stripe Webhook RBAC Billing Engine: Built an automated subscription management system triggered by Stripe webhooks, instantly updating user credit quotas upon plan upgrades or renewals.
- Interactive Data Grid UI: Designed custom data export filters and instant CSV/Excel batch generation tools for enterprise sales teams.
Technologies Used
Key Results
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