Work/Lead management · VertixOP Labs
Proprietary product · Under development
LeadCRM
VertixOP India Pvt Ltd Labs
Modern B2B Lead Management CRM featuring Google OAuth 2.0, high-speed multi-file CSV dataset ingestion, dynamic schema matching, instant column filtering, inline cell edits, and real-time workspace tabs.
Business context
Sales teams and outbound revenue teams struggle with messy, unstandardized CSV lead exports from multiple disparate vendors, leading to duplicate records, mismatched columns, slow manual data scrubbing, and high bounce rates on outreach campaigns.
Product direction
Intelligent Lead Management & Dataset Ingestion
50k+ Rows/sec · Automated Schema Alignment
Under Development · VertixOP Labs
+220% Pipeline Efficiency
The solution
VertixOP India Pvt Ltd engineered LeadCRM (Prism), a high-speed SaaS lead intelligence platform with automated header normalization, live workspace tabs, instant client-side filtering, column visibility controls, inline editing, and one-click sanitized CSV exports.
- Multi-tab lead workspace supporting simultaneous dataset imports and independent filter states
- Interactive data cleaner with inline-edit buffers, undo history, and batch mutation controls
- Lead library repository with pre-curated industry datasets and role-based access moderation
Selected interfaces
Architecture
- Decoupled Node.js REST API with Google OAuth 2.0 JWT session security and PostgreSQL relational storage for persistent workspace datasets
- High-performance React 19 SPA powered by Vite, virtualized table rendering, and client-side web workers for sub-30ms filtering across 50,000+ lead records
- Deterministic schema alignment algorithm normalizing arbitrary vendor CSV headers into standardized sales pipeline structures
Technology
- React 19
- TypeScript
- Node.js
- PostgreSQL
- Tailwind CSS
- Vite
- Google OAuth
What the build had to solve
- 01Vendor CSV headers rarely match, so column alignment has to be explicit.
- 02Sign-in uses Google OAuth, with the workspace stored for the signed-in team.
- 03Filtering and edits have to stay responsive once a list is large.
Recorded with the project
Figures carried from the project record. They are not an independent audit.
- Ingestion Speed
- 50k+ Rows/s
- Filter Latency
- <30ms
- Schema Alignment
- 100% Auto
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