AI / SaaS Case Study

Building an AI Video Platform That Secured €2.5M in Funding.

€2.5M
Funding Secured
10k+
Beta Users
50ms
Call Latency
8wk
MVP to Launch

Also Partnered With:

BlinkIn logo
Blookery logo
LiveEasy logo
BlinkIn AI platform for building and sharing agentic apps with drag-and-drop interface

The Challenge

BlinkIn needed to go from concept to a fundable product in record time. The vision was an AI-powered video call platform with real-time annotation, integrated chat, and file sharing — features that typically take months to build and stabilize.

The technical challenge was immense: video streaming with sub-100ms latency, real-time collaborative annotation overlays, and a chat system that seamlessly integrates with the call experience — all while maintaining a polished, investor-ready UI.

The Founder-Led Solution

Applying my ‘Zero-Delegation’ engineering philosophy, I led the entire frontend architecture, building a production-ready platform that impressed both users and investors.

  • Architected a modular UI with real-time video streaming, annotation canvas, and synchronized chat — all running without frame drops.
  • Implemented WebRTC-based video with intelligent quality adaptation and fallback mechanisms for unreliable networks.
  • Built the collaborative file sharing system with drag-and-drop upload, in-call preview, and version tracking.

Concrete Business Impact

The platform's technical quality and polish directly contributed to BlinkIn's successful funding round.

01. Funding
€2.5M

Secured in seed funding, with investors citing product quality as a key differentiator.

02. Adoption
10k+

Beta users onboarded within the first quarter after public launch.

03. Performance
50ms

Average call latency achieved through optimized WebRTC implementation.

Manish didn't just build our frontend — he architected a product that investors wanted to fund. His technical execution and product sensibility gave us the credibility to close our seed round.
Josef Pur

Josef Pur

BlinkIn

How We Built It

1

Product Strategy & Architecture

Defined the technical architecture for real-time video, annotation, and chat — prioritizing features that would demonstrate product viability to investors.

2

Core Platform Build

Built the video call engine with WebRTC, real-time annotation canvas using Canvas API, and integrated chat with WebSocket messaging.

3

Polish & Investor-Ready Launch

Refined the UI to investor-demo quality, optimized performance metrics, and deployed a stable platform ready for pitch meetings.

Technology Stack

ReactReact
WebRTC
Canvas API
WebSocketsWebSockets
Node.jsNode.js
AWSAWS

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