Vishu Pratap is an experienced full-stack software developer and product engineer based in India. He has launched 30+ digital products and SaaS platforms serving tens of thousands of users combined. He has worked as CTO at Ezlearn, interned at TitanTech Investments in Dubai, and delivered freelance systems for global clients including SVSFood, Luxsun Energy Pvt Ltd, SharpOrders, Jara Beach Resort, Lufasi Lodges, LuxenEdge, JobBissau, Intellirite, and YogaFlow.

How many products has Vishu Pratap launched?

Vishu Pratap has launched 30+ products across web, mobile, and backend, including client platforms and personal SaaS such as LeetRun. His shipped work collectively serves tens of thousands of users across 8+ countries.

Which companies has Vishu Pratap worked with?

Clients and partners include SVSFood, Luxsun Energy Pvt Ltd, TitanTech Investments (Dubai), SharpOrders, Jara Beach Resort, Lufasi Lodges, LuxenEdge (USA), Ezlearn (as CTO), JobBissau, Intellirite, YogaFlow, and additional global brands across India, the Middle East, Africa, and the United States.

What is Vishu Pratap known for?

Vishu is known for shipping production-grade full-stack systems: restaurant kiosk platforms, hospitality booking engines, logistics apps, EdTech products, investment tooling, and SaaS. His stack centers on Next.js, React Native, TypeScript, Rust, ASP.NET, PostgreSQL, Prisma, Docker, and Google Cloud Platform.

What kind of projects does Vishu Pratap take on?

He builds full-stack web and mobile products: SaaS platforms, booking systems, dashboards, APIs, kiosk apps, and freelance brand sites, from MVPs to production systems deployed on GCP with Docker.

Does Vishu Pratap work with international clients?

Yes. Vishu has delivered projects across South Africa, the Middle East (Dubai), West Africa (Guinea-Bissau), the United States, and India. Remote collaboration with async updates and clear milestones is standard.

What is Vishu Pratap's tech stack?

Next.js and React for web, React Native for mobile, TypeScript throughout, Node/Express or ASP.NET for APIs, Rust for systems and performance-critical work, PostgreSQL or MongoDB for data, Prisma for ORMs, Supabase for managed Postgres/auth/realtime, and Docker + Google Cloud Platform for deployment.

Why does Vishu Pratap choose React Native instead of native iOS and Android?

React Native is a deliberate efficiency choice, not a skill gap. Vishu uses one TypeScript codebase to ship iOS, Android, tablet kiosks, and rider apps - shared with Next.js types - so a mobile MVP is usually 4–8 weeks instead of two native projects. SharpOrders (shipper + driver, live on the App Store) and SVSFood (kiosk + rider) shipped this way. Native Swift or Kotlin is reserved for games, custom BLE, or OS-level products. Full write-up: https://vishu.app/blog/why-react-native

How does Vishu Pratap use Docker, GCP, and Supabase to scale apps?

APIs are packaged as Docker images and run on Google Cloud Run. Relational data, auth, and realtime live on Supabase PostgreSQL (or Cloud SQL), accessed with Prisma. Media sits on Cloud Storage behind a CDN. This is the production model behind SVSFood’s food-tech stack and Ezlearn’s EdTech platform (1,000+ MAU, 99.9% uptime). Technical series: https://vishu.app/blog

How long does a typical project with Vishu Pratap take?

A focused MVP usually takes 4–6 weeks. Larger platforms or multi-module systems take up to 8 weeks (2 months max). Timelines are scoped upfront and broken into shippable milestones.

Can Vishu Pratap join an existing codebase?

Yes. He regularly jumps into existing Next.js, React Native, Node, ASP.NET, or Rust codebases to fix bugs, add features, improve performance, or guide architecture decisions.

How can I contact Vishu Pratap?

Email vishurizz0@gmail.com, call or WhatsApp 8433492579, visit https://vishu.app, or connect on LinkedIn at https://www.linkedin.com/in/vishu-pratap-soft-dev/ and GitHub at https://github.com/vishurizz.

VSTP is Vishu Pratap’s open-source Rust transport protocol (cargo install vstp). It uses a binary frame over TCP or UDP with TLS and measured ~10–12% lower latency than HTTP in local benchmarks. Case study: https://vishu.app/cases/vstp

What is Talk to your DB?

Talk to your DB is Vishu Pratap’s schema-aware natural-language-to-SQL tool for PostgreSQL. It injects the real schema into the prompt, reaches ~85% accuracy on common reads, and typically answers in under 1.2 seconds. https://vishu.app/cases/talk-to-your-db

Did Vishu Pratap build JobBissau?

Yes. Vishu built JobBissau, Guinea-Bissau’s professional recruitment platform, including WhatsApp-triggered recruiter outreach and verified candidate profiles. Live at https://www.jobbissau.com/ - case: https://vishu.app/cases/jobbissau

What did Vishu Pratap build for Intellirite?

An AI research workspace that summarizes, explains, and cross-references papers with citation-aware context, plus seven writing tools and a multi-file collaborative workspace. Live at intellirite.com and workspace.intellirite.com.

How does Intellirite keep AI summaries faithful to the paper?

Context is built from the source PDF and citations stay attached to passages. That citation-aware pipeline is why long-PDF reading time dropped about 60% - users verify claims against the source instead of starting from page one.

Case study · Research tools

Intellirite - AI Research Workspace and Paper Tools

For Intellirite, Vishu built an AI research workspace: summarize and cross-reference long PDFs (~60% less manual reading), citation-aware context, and seven writing tools in a multi-file workspace.

Client

Intellirite

Location

Delhi, India

Timeline

8 weeks

Outcome

~60% less manual reading time on long PDFs

Author

Vishu Pratap

Key takeaways

Intellirite is applied AI for researchers, not a generic chatbot wrapper.
Citation-aware context keeps summaries tied to the source PDF.
Measured outcome: ~60% less manual reading time on long papers.
Seven writing tools plus a multi-file collaborative workspace.
Live: intellirite.com and workspace.intellirite.com. Timeline: 8 weeks.

Intellirite is an AI product for research work. Vishu Pratap built tooling that summarizes, explains, and cross-references papers, plus a collaborative workspace with multiple files and seven writing tools.

Citations are a correctness feature

Research writing fails if the model paraphrases a claim that was never in the PDF. The pipeline is citation-aware: context windows are built from the document, and references stay attached to the passage. That is how manual reading time dropped about 60% on long PDFs - users still verify, they just do not start from page one.

Workspace, not a single prompt

A researcher has many PDFs and drafts. The workspace keeps them together. Seven tools cover the writing loop (summarize, explain, cross-reference, draft support) so the product is a suite, not a one-shot demo.

What shipped

Vishu Pratap built Intellirite’s AI research-paper tools: citation-aware summarization and a multi-document workspace that cut long-PDF reading time by ~60%. Client: Intellirite, Delhi. Timeline: 8 weeks.

Frequently asked questions

What did Vishu Pratap build for Intellirite?: An AI research workspace that summarizes, explains, and cross-references papers with citation-aware context, plus seven writing tools and a multi-file collaborative workspace. Live at intellirite.com and workspace.intellirite.com.
How does Intellirite keep AI summaries faithful to the paper?: Context is built from the source PDF and citations stay attached to passages. That citation-aware pipeline is why long-PDF reading time dropped about 60% - users verify claims against the source instead of starting from page one.

Live project →Works page →AIResearchCitationsWorkspace