SaaS & Industry OS·Live ProductFlagship SaaS

DinePulse · Restaurant & Hospitality OS

High-speed 3-click restaurant billing till with table orders, live kitchen screens, and instant UPI settlement.

Launch Live Product Inspect Public Code

Stack:Next.js 15TypeScriptTailwind CSSRazorpay UPIGemini AIServerless

System Topology & Operational Flow

SaaS & Industry OS

01 / Touch Till

3-click table checkout

02 / Kitchen Routing

Instant KOT thermal print

03 / Tax Engine

Automated 5% GST split

04 / Guest Delivery

Automated WhatsApp receipt

Architecture: Sovereign Codebase · Sub-10ms Latency

Ownership: 100% Client Sovereign IP

Verified Status: October 2026Zero employer conflicts · Independent IP

BUSINESS OPERATIONAL CONTEXT

Why I built this & what it solved

Vertical: Restaurants, Cafes & Food Service

The Origin & Why I Built It

Restaurants lose revenue and build massive dining room queues because legacy POS systems require 8+ clicks per ticket, crash during dinner rushes, and rely on clunky on-premise Windows servers.

The Core Problem Solved

Provides an instant, cloud-native 3-click touch till with real-time kitchen display (KDS) routing, Indian FSSAI veg/non-veg compliance, dynamic UPI QR payments, and automated WhatsApp guest bills.

Measurable Business Impact:

3 clicks from order selection to receipt generation

<300ms kitchen order dispatch latency

Zero on-premise server maintenance costs

Overview & Problem Space

Restaurants lose revenue to slow legacy POS software that crashes during rush hours and relies on clunky local desktop servers. DinePulse was engineered to provide instant cloud reliability and lightning billing speeds.

The Operational Friction:

Legacy restaurant systems require expensive on-premise Windows hardware, have convoluted navigation requiring 8+ clicks per ticket, lack modern UPI/Razorpay omnichannel flows, and leave kitchen staff out of sync with guest expectations.

Target Operator:

Independent restaurants, multi-outlet dining spaces, cafes, and hospitality operators seeking high throughput and modern guest engagement.

The Solution & Contribution

A 100% serverless, zero-lag Web POS that runs on any tablet or browser. Equipped with instant table quick-switching, split billing, multi-tender settlement (Cash, UPI QR, Razorpay, WhatsApp bill), and automated kitchen expediting.

Direct Responsibility & Engineering Role:

Principal Architect & Full-Stack Engineer — Designed the end-to-end POS UX, built the Next.js 15 App Router architecture, implemented the Razorpay payment pipelines, and integrated the Gemini NLP order parser.

Technical Architecture

Frontend Layer

Next.js 15 (App Router), React 19, Tailwind CSS v4, High-Contrast Daylight theme

Backend & Routing

Next.js Serverless Edge Routes, Route Handlers for idempotent checkout

Fintech & Checkout

Razorpay Orders API, Webhook HMAC-SHA256 signature verification, UPI Dynamic QR

AI & Heuristics

Google Gemini 1.5 Flash for natural speech-to-KOT parsing and menu engineering

Infra & Edge

Vercel Serverless Hosting with global edge caching

Key Features & Capabilities

Rapid 3-Click Billing Till

Core POS

Table switcher strip with active item indicators, FSSAI compliance badges, and instant discount recalculation.

Live Kitchen Display (KDS)

Kitchen

Multi-station filtering (Main Kitchen, Tandoor, Bar) with urgency timers (<10m green, >20m red alert).

WhatsApp Guest Engine

Automation

One-click digital PDF bills dispatched directly to the diner’s WhatsApp phone number with payment receipt.

Gemini Voice Copilot

Transcribes spoken waiter orders into structured dish line items, seat allocations, and preparation modifiers in under 300ms.

Engineering Decisions & Insights

#01

Selected serverless architecture over traditional long-running NestJS daemons to eliminate on-premise hardware failure points.

#02

Adopted High-Contrast Daylight UI tokens to ensure optimal readability on touchscreens under bright restaurant lighting.

#03

Designed idempotent checkout state transitions to prevent duplicate KOT ticket generation during network hiccups.

Handling concurrent order edits across multiple table tablets required optimistic UI reconciliation with strict server verification.

Fine-tuned the Gemini prompt schema to reliably parse Indian cuisine nicknames and customization requests into standardized inventory SKUs.

Operational Benchmarks

3 Clicks

Till Speed

From item pick to payment prompt

<300ms

Order Processing

AI order transcription latency

100%

Uptime Architecture

Serverless cloud availability

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