Skip to main content
Loading DataNest BD…
Live sites & system architecture

A portfolio with a pulse.

Explore the websites currently published through our Hostinger workspace, then go deeper into the reference architectures behind our WhatsApp, SaaS and AI workflow work. Live builds and illustrative systems are labelled clearly so you can see what shipped and how we think.

Live deployment index

Built, shipped, and out in the world.

A moving index of the custom domains currently published through our Hostinger workspace. Open any project's live domain to explore the full, interactive experience.

From live builds to system thinking

The systems behind the surface.

Alongside the published sites, these reference architectures show how we think through workflows before implementation.

WhatsApp Infrastructure

High-Volume WhatsApp Support & Qualification Hub

Sample Workflow Architecture

High-Volume WhatsApp Support & Qualification Hub

WhatsApp Message
WhatChimp Routing
Agent Assignment
CRM Record
Escalation

Business Problem

A growing retailer may struggle to assign WhatsApp questions when several people share one unstructured inbox. Replies can be duplicated, customer context can be missed, and the team may have no consistent way to pass a qualified inquiry to its CRM.

Solution Architecture

The proposed workflow connects WhatsApp Business API to a WhatChimp shared inbox. Incoming events are validated and matched to a conversation before assignment. Agreed qualification fields are passed to the CRM, while failed or duplicate events need explicit handling. Templates support permitted notifications and a person remains available for escalation.

Key Technical Components

  • Official Meta WhatsApp Business Cloud API
  • WhatChimp Partner Engine with multi-agent routing
  • Webhook ingestion pipeline to internal lead database
  • Categorized template submission system for shipping & utility updates
Illustrative reference architecture. No named client deployment or measured results are claimed.Detailed Specification
Full-Stack SaaS

Enterprise Operational Portal & Analytics Dashboard

Sample Workflow Architecture

Enterprise Operational Portal & Analytics Dashboard

User Sign-In
Role Check
Tenant Query
Report Build
Dashboard

Business Problem

An operations team may use separate spreadsheets for work assignments, status updates and reports. Without a shared record and clear permissions, managers can struggle to identify the current version and staff may repeat the same data entry.

Solution Architecture

The proposed portal uses Next.js interfaces and a PostgreSQL data model to connect records, permissions and reporting. Roles define who can view or change each record. Validated updates feed reporting queries and exports. Tenant isolation, backup recovery and query performance need testing against the actual workload before launch.

Key Technical Components

  • Next.js App Router with TypeScript and Tailwind CSS
  • PostgreSQL multi-tenant schema with parameterized queries
  • Server-side data aggregation with workload-specific performance testing
  • Role-based permissions (Admin, Manager, Field Agent)
Illustrative SaaS reference architecture; dashboard figures are examples, not customer results.Detailed Specification
AI Workflow Automation

Grounded Lead Triage & Automated CRM Ingestion Pipeline

Sample Workflow Architecture

Grounded Lead Triage & Automated CRM Ingestion Pipeline

Inquiry Text
Field Extraction
Schema Validation
CRM Record
Human Review

Business Problem

A sales team may receive inquiries with different formats and incomplete details. Manually identifying the service, urgency and next action can delay follow-up. The first design step is to define qualification criteria and collect representative examples for evaluation.

Solution Architecture

The proposed pipeline extracts agreed fields from inquiry text, validates the output and creates or updates a CRM record. Rule checks determine which actions are allowed. Missing, contradictory or sensitive information routes to a person rather than being silently guessed. Logs, duplicate handling and retry rules support investigation when an integration fails.

Key Technical Components

  • Server-side schema validation via Zod
  • Structured entity extraction with strict output boundaries
  • Escalation queue alerting key account executives via WhatsApp & Slack
  • Durable outbox retry worker preventing dropped submissions
Illustrative AI workflow. Accuracy and time savings must be evaluated with representative business data.Detailed Specification

Need a similar system for your business?

Discuss your requirements with our engineering team in Dhaka. We review workflows and provide candid technical feedback.