ColdBind
The unified AI outbound engine consolidating prospecting, multi-inbox rotation, and CRM pipeline
Role
Full-Stack Product Engineer
Timeline
3-4 Weeks SaaS Sprint (2026)
Key Outcome
Multi-inbox AI sales pipeline
Live Product
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01 / Challenge
B2B growth teams and agency founders typically navigate a messy stack of 4-5 disconnected tools for lead scraping, contact enrichment, inbox warmup, sequence automation, and deal management. This creates high recurring SaaS costs, data silos, and severe email deliverability blindspots.
02 / Strategic Approach
Engineered a unified outbound ecosystem featuring autonomous AI SDR agents, live B2B lead enrichment waterfalls, intelligent multi-inbox deliverability rotation, a unified reply inbox (Unibox) with automated objection handling, and an integrated founder deal pipeline CRM.
03 / UI & UX Design
Designed an enterprise-grade dark SaaS workspace with real-time campaign telemetry, interactive AI agent sandboxes, visual deliverability health gauges, and drag-and-drop Kanban pipeline boards.
04 / Development & Tech
Built using Nest.js for modular microservices, an authentication engine engineered from scratch with Passport.js, PostgreSQL for relational campaign and lead state management, Redis for BullMQ outbound sending queues and deliverability throttling, Resend for high-throughput messaging, Docker for containerization, and Vercel AI SDK powered by Gemini and DeepSeek for lead research and automated reply synthesis.
05 / Key Results
06 / Lessons Learned
High-volume email outreach demands strict queue orchestration and domain reputation protection. Building isolated Redis warmup queues and automatic spam-trigger monitors prevents deliverability degradation across rotating domains.
07 / Visual Interface Walkthrough
12 Production Screens
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