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Jumbl

A consumer-facing referral platform helping job seekers connect with referrers through mobile and web.

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Jumbl
Role

Co-Founder & CTO

Year

2024 – Present

Stack

React Native, React, Node.js, Express, MongoDB, AWS

Link
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01. The Challenge

The job referral space was fragmented and inefficient. Job seekers struggled to find genuine connections at their target companies, while employees with referral bonuses had no easy way to discover qualified candidates. We needed to build a platform that could bridge this gap at scale.

The core challenge was creating a trust-based system where both parties could verify each other's authenticity while maintaining privacy until a meaningful connection was established.

02. The Process

Jumbl

We started with extensive user research, interviewing both job seekers and employees across various industries. This led to our dual-app architecture—a mobile app for job seekers and a web dashboard for referrers—each optimized for their specific workflows and usage patterns.

Engineering

Building the matching algorithm that connects job seekers with the right referrers based on skills, company, and role compatibility.

// Referral Matching Engine const findMatches = async (seeker) => { const candidates = await Referrer.aggregate([ { $match: { company: seeker.targetCompany } }, { $addFields: { score: { $add: [ { $cond: [{ $in: [seeker.role, "$openRoles"] }, 50, 0] }, { $multiply: ["$successRate", 30] }, { $size: { $setIntersection: ["$skills", seeker.skills] } } ] } }}, { $sort: { score: -1 } }, { $limit: 10 } ]); return candidates.filter(c => c.score > MATCH_THRESHOLD); };

03. The Result

Jumbl

500+

Users

1000+

Referrals