6 Startup Products, 6 Stacks: What Divtechnosoft Learned Building MVPs

Divyesh Savaliya — Wed, 14 Oct 2026 10:50:11 +0000

There's no single "best stack" for a startup. There's only the best stack for this product, this team and this timeline.

At Divtechnosoft, a product and AI development agency in Ahmedabad, India, we build MVPs, SaaS platforms and mobile apps for founders around the world. After working with 50+ founders, one pattern stands out: the products that succeed are the ones where the technology choices match the problem, not the ones on the trendiest stack.

Here are six products we've shipped, the stack behind each, and the lesson each one taught us.

1. Summon: digital valet parking

What it is: A QR-based, paperless valet platform for hotels, hospitals, restaurants and multi-location enterprises. Stack: Ionic, Capacitor, Firebase, Stripe

Summon grew from 100 to 450+ locations, a 4.5x scale-up in 18 months. It has issued 158K+ tickets and passed $10K+ MRR.

Lesson: When the product is about real-time coordination between guests, attendants and managers, a managed real-time backend lets you ship fast and scale without rebuilding.

2. Ringlyn: voice AI for business calls

What it is: A human-like voice AI that handles business calls, qualifies leads and books appointments. Stack: Next.js, Supabase, Twilio, OpenAI

Ringlyn went to production in 19 weeks and handles 10,000 automated calls a month.

Lesson: AI products live or die on integration. The model is one piece. Telephony, data and workflows around it are what make it useful.

3. Unyted: multi-role EdTech

What it is: An education platform for students, parents and instructors, with live classes, a video library and progress tracking. Stack: Expo, Next.js, Socket.io

Lesson: When three different user roles share one product, design each role's experience separately, then build on shared foundations. Real-time features like live classes need real-time infrastructure from day one.

4. Mendo: civic data analytics

What it is: A platform that tracks footfall, turnover and sector performance for Norwegian municipalities. Stack: Laravel, Vue.js, MySQL

Mendo serves 20+ municipalities and made reporting 60% faster.

Lesson: Not everything needs the newest framework. For data-heavy, reporting-focused products, a proven, stable stack is often the smartest choice.

5. Momentum One: gym management SaaS

What it is: A multi-tenant SaaS that manages facilities, trainers, schedules and member access. Stack: Next.js, Supabase, Expo

Lesson: If you're building SaaS for many businesses, design for multi-tenancy from the start. Retrofitting tenant separation later is one of the most expensive mistakes in SaaS.

6. BrokerBuddy: real estate CRM

What it is: A multi-tenant CRM for listings, automatic lead matching and team management, on both web and mobile. Stack: Next.js, React Native, Supabase

BrokerBuddy was built in 16 weeks.

Lesson: Pairing Next.js on the web with React Native on mobile lets teams share knowledge and logic across platforms. It's a big advantage when a small team has to ship both.

The patterns across all six

Looking back across these builds, a few principles keep repeating:

Match the stack to the problem. Ionic and Firebase suited real-time valet. Laravel and Vue suited civic reporting. Next.js and Supabase suited multi-tenant SaaS. Different problems, different tools.

Managed backends speed up MVPs. Firebase and Supabase appear again and again because they remove weeks of backend setup.

Plan for scale in the structure, not the infrastructure. Multi-tenancy, roles and permissions belong in the design from day one. Heavy infrastructure can wait.

Real timelines are measured in weeks. Our case studies show 16 weeks for BrokerBuddy and 19 weeks to production for Ringlyn. A focused MVP should take months, not years.

Founders should own their code. At Divtechnosoft, code ownership transfers on milestone payment, with an NDA from day one. Whoever you build with, make sure you're never locked in.

Wrapping up

The right stack is the one that gets a real product in front of real users quickly, and keeps working as the business grows. That's what we aim for with every founder we work with.

If you're planning an MVP, SaaS platform, mobile app or AI product, you can see more of our work at Divtechnosoft.

Which stack would you have picked for any of these six? Tell us in the comments.

How Divtechnosoft Built a Valet App for 450+ Locations

Divyesh Savaliya — Wed, 14 Oct 2026 09:27:43 +0000

Paper valet tickets fail in predictable ways. Stubs get lost, runners can't tell which request came first, and managers have no live view of the cars on site.

At Divtechnosoft, a custom software engineering agency that builds web apps, mobile apps and SaaS products for startups and scale-ups, we replaced that paper system for Summon, a digital valet platform. It now runs at 450+ locations, including hotels, restaurants, malls, hospitals, stadiums and large events, on infrastructure that costs under $40/month. The full project is covered in our digital valet management platform case study.

Here's how we approached it, and what other teams can take from it.

Three apps, one codebase

A valet product is really three surfaces:

Guest experience: guests get an SMS with a digital ticket link. They can request their car, pay by Apple Pay or card, and add extras like a car wash or EV charging.
Operator app: attendants log vehicles, record their condition, assign parking spaces and receive retrieval requests.
Operator portal: managers use a web dashboard to track driveways, shifts, tickets and revenue across locations.

We built all three with Ionic and Angular, sharing models and services across them. Capacitor ships the operator app to iOS and Android. Firebase handles data and backend functions, and Stripe handles payments.

The ticket is the core

Every car gets one digital ticket, and each ticket moves through a simple set of statuses: parked, requested, en route, delivered. Every screen in the system reads from that ticket, so guests, runners and managers all see the same state.

Each ticket also carries its location. That one decision makes it easy to show staff only their own venue and to report on each location separately.

A live, priority-sorted queue

The runner's screen is a live list of cars waiting to be retrieved. It updates the moment a guest taps "request my car", without anyone refreshing.

The list is sorted by priority, worked out from three things:

Scheduled pickup time: a guest who booked a 7:30 pickup moves up as 7:30 approaches.
VIP status: set by the venue.
Wait time: among equal requests, whoever has waited longest goes first.

Because the priority is calculated once and saved on the ticket, every device shows the same order.

Staff only see their locations

Operators often run several venues. Each staff account is assigned to specific locations, and Firebase security rules enforce it, so an attendant at one hotel can't see tickets from another site.

Payments handled on the server

The guest's phone never calculates the price. The backend works out the total from the parking fee and any add-ons, then creates a Stripe payment. Apple Pay appears automatically on supported devices, and payment is only marked complete once Stripe confirms it.

How we kept infra under $40/month

Track only active tickets live. Delivered tickets drop out of real-time updates.
One live connection per screen, not one per car.
No polling. Real-time updates only send what has changed.
Archive old tickets automatically, so the live database stays small.
Backend functions scale to zero when idle.
Compress vehicle photos on the device before upload.

Key takeaways

Build around one clear object, here the ticket, with a few well-defined statuses.
Make the queue real-time and sort it the same way on every device.
Lock data to locations from day one if the product will serve many sites.
Keep pricing and payment confirmation on the server.
Design for low running costs early. It's much harder to fix later.

For the full story, including features, outcomes and the client's feedback, see the Summon case study by Divtechnosoft.

Have you built a real-time queue for a service business? We'd like to hear how you handled priority. Share it in the comments.

DEV Community: Divyesh Savaliya