PROJECT_002

DeepReach SaaS Platform

A large-scale social intelligence system that analyzes accounts, reels, trends, and audience signals to deliver real actionable analytics for growth.

Client: Clipping Startup
Duration: 4 months
Status: Online

// PROJECT OVERVIEW

We built DeepReach SaaS Platform to solve one problem: finding real growth signals from social media at scale. Manual research is slow, inconsistent, and based on guesses. Influencers, brands, and creators spend hours scrolling without any real direction.

DeepReach automates the entire process. It analyzes thousands of accounts , reels, posts, and engagement profiles, and converts them into structured insights. It detects trends early, evaluates view patterns, and reveals which content formats, hooks, and creators actually drive performance

The system runs continuously and updates datasets in real time. Teams get reliable analytics instead of assumptions, and can plan content, reach, and distribution with confidence.

1,00,000+
Profiles analyzed per day
5,00,000+
Reels processed per week
95%
Data accuracy on analyzed metadata
24/7
Automated analysis and analytics

KEY FEATURES

Large-scale account analysis

Processes thousands of profiles to detect patterns in growth, content style, and audience behavior.

Reel performance breakdown

Evaluates views, saves, shares, and retention to identify what actually drives engagement.

Trend detection engine

Tracks emerging hooks, sounds, and topics before they peak, giving early advantage.

Competitor mapping

Finds competitors' strongest content and reveals why it performs better.

Niche discovery

Identifies micro-communities with high engagement and low competition for targeted growth.

Viral format identification

Detects recurring video structures that consistently produce above-average results.

TECH STACK

Python
AWS
FastAPI
Next.js
HTML5
CSS3
JavaScript
Python
AWS
FastAPI
Next.js
HTML5
CSS3
JavaScript

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