Real systems, real production numbers
Deep dives into platforms we designed, built and run — the architecture decisions, the trade-offs, and the metrics they produce in production.
- Production systems
- Metrics, not marketing
- Full-stack builds
The numbers behind these builds
How we build, in detail
Each study covers the challenge, the architecture we chose and the measured results of the shipped system.
High-Throughput Data Enrichment Pipeline — 12M+ Records
Internal ProjectNeeded to process millions of raw domain records into enriched, scored, and classified business profiles. Required high throughput with fault tolerance, AI-powered industry classification across thousands of categories, and a database capable of handling 21GB+ of structured data.
Enterprise CRM Platform — 40+ Data Models, Event-Driven Architecture
Internal ProjectNeeded a full-featured CRM system without depending on third-party SaaS platforms like Salesforce or HubSpot. Required multi-tenancy, complex data relationships across contacts/leads/deals/accounts, real-time workflow automation, and AI-powered email integration.
CutMaster — Industrial Machine Management with 79/79 Tests Passing
Dener USA (Demo)Needed a comprehensive machine management dashboard for Dener industrial equipment covering 13 machine types. Required full lifecycle management: job scheduling, preventive maintenance, customer tracking, service tickets, spare parts inventory, and operational reporting — all with a clean, responsive UI.
Email Campaign Engine — 50K/Day with AI Classification
Internal ProjectNeeded an end-to-end email campaign system capable of composing, sending at scale, tracking deliveries, and intelligently classifying replies. Required multi-domain sender rotation, rate limiting to avoid deliverability issues, and AI-powered reply analysis to identify hot leads automatically.
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