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Building a Reddit-Native Social Intelligence Tool for PROSPOR

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Building a Reddit-Native Social Intelligence Tool for PROSPOR

About The Project.

PROSPOR is a Reddit-focused social listening and engagement platform designed to help brands tap into insightful data sources of authentic user conversations.

Reddit offers unmatched insight into real user sentiment, but its unstructured nature makes it difficult for brands to track brand mentions, identify relevant discussions, extract keyword insights to improve brand positioning, and respond at scale. PROSPOR aimed to bridge this gap by transforming raw Reddit data into actionable insights for marketing, growth, and customer success teams.

PROSPOR approached us to design and develop a custom dashboard-driven web application that could sit on top of an existing AI-powered backend and make Reddit intelligence accessible to both technical and non-technical users.

Client
Hospitality
Year
2024
Industry
SaaS
Target Market
North America and Europe
Project
UI/UX Design and Development of an AI Social Listening Tool
Services
Ideation, Design, Development, and Deployment
2114+

Organic Clicks (Jan–Jun 2026)

21%

Reduce in administrative overheads

100%

Eliminated manual processing

Problem Statement.

Despite having a capable AI engine, the client faced major usability and operational gaps.
Some of the key challenges include:

01

No centralized interface to manage brand monitoring projects

02

Complex workflows for defining keywords, competitors, and subreddits

03

No clear visualization of Reddit replies, mentions, or engagement trends

04

Manual effort required to assign and track responses across threads

05

Fragmented tooling that limited adoption by marketing and CX teams

06

Difficulty scaling usage beyond internal or technical users

07

Lack of role-based access for managing multiple users and projects

How We Solved The Problems.

We designed and developed a full-featured Reddit social listening platform with a strong emphasis on usability, performance, and scalability.

[01]

Built a unified lead dashboard with filters for stage, tags, and activity, fully integrated with the production MongoDB database

[02]

Developed an automated tag-to-stage mapping to move leads seamlessly from Cold, Warm, and Hot, based on engagement

[03]

Created detailed lead profile views, including student details, parent contacts, purchase history, and referrals

[04]

Developed an automated task dashboard where follow-up tasks are triggered by lead actions and stage changes

[05]

Introduced role-based access control for Admins, Leads Managers, and Operators using secure JWT authentication

[06]

Designed a responsive Next.js frontend backed by a Django API for fast, reliable performance

[07]

Built an “Add New Lead” workflow enabling structured, complete data capture from the start

[08]

Implemented a multi-tag priority system that surfaces the most critical lead signal at a glance

[09]

Containerized the entire system using Docker to support scalability and deployment consistency

[10]

Added a PostgreSQL secondary database for transactional records and scheduling logic

Detailed Design Process Over Guesswork.

Discovery & Requirement Mapping

What we achieved.

The new platform delivered measurable improvements across usability, engagement, and operational efficiency.

  • 01

    More than 42% increase in engagement rates in niche subreddits such as r/CRM, r/smallbusiness, and r/Notion

  • 02

    70% reduction in project setup time by removing the need for coordination between multiple teams and allowing new projects to be launched in under 5 minutes via a no-code project builder

  • 03

    Improved brand sentiment through consistent, context-aware replies that aligned better with Reddit community norms

  • 04

    Enabled clearer conversion tracking by linking replies to tone, CTA, subreddit, and project

  • 05

    Established a scalable SaaS foundation capable of supporting more brands, users, and monitoring projects without added operational effort

What Our Clients Say About Our Work?

Ibrahim Musa

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Ibrahim Musa

Director, Direct Ear Care

Building It Right.

Tech Stack Used

Next.Js
Django
Reddit API
Stripe

Looking to Build A Social Listening or AI-Driven Platform?

Whether you’re building a Reddit monitoring tool, a brand intelligence dashboard, or an AI-powered engagement platform, Quixta helps turn complex data into products people actually use.

Book a Free Consultation

A few things people usually ask before reaching out.

The platform helps brands monitor Reddit conversations in real time, identify relevant threads, engage with high-intent discussions, and extract actionable keyword and sentiment insights from niche subreddits.

It automates subreddit discovery, keyword filtering, thread tagging, and draft reply generation, allowing teams to focus on review and engagement instead of manual searching and analysis.

Yes. Users can switch between automated and manual reply modes, define tone and CTA per project, and fine-tune AI behavior through a dedicated instruction panel.

Yes. The interface is designed for both technical and non-technical users, with no-code project setup, visual dashboards, and clear workflows for monitoring and engagement.

Absolutely. It supports multiple projects, subreddits, competitors, and users with role-based access, making it suitable for agencies, SaaS companies, and growing marketing teams.

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