27 Nerds

Portfolio / Dropem — Esports Content Aggregation & Gamified Engagement Platform

Dropem — Esports Content Aggregation & GamifiedEngagement Platform

Company
Dropem
Duration
6 months
Team
5 members
Product Domain
Live streaming engagement system

Quick project snapshot

We built Dropem as a unified esports content and engagement platform that aggregates streams from Twitch and YouTube and layers a full gamification system on top — turning passive viewing into continuous user participation.

Unified Twitch + YouTube content feed
01
Watch-to-earn XP and reward economy
02
Quests, drops, and sponsor campaigns system
03
Clan-based social engagement mechanics
04
Personalized esports content discovery layer
05

What needed fixing

Esports audiences were highly engaged but structurally fragmented:

[ PROBLEM ]

  1. Content fragmentation

    Spread across Twitch, YouTube, and tournament platforms

  2. No unified discovery

    Lack of personalization or centralized viewing experience

  3. Weak retention mechanics

    No incentive beyond individual streams

  4. No loyalty system

    Missing rewards for ongoing engagement

  5. Limited sponsor interaction tools

    Weak mechanisms for active engagement

  6. No social or competitive layer

    Absence of community structure

  7. Event-only engagement

    Spikes during live events, no sustained retention

Attention was high, but not sustained or monetized long-term.

secondary image

What we aimed for

[ GOAL ]

  • Unified content feed

    aggregate esports content into a personalized stream

  • Watch-to-earn mechanics

    reward all user activity with XP

  • Real-value reward system

    enable meaningful redemption of earnings

  • Sponsor-driven engagement

    support quests, drops, and campaigns

  • Social competition layer

    introduce clans and retention loops

How we solved it

We built Dropem around two core layers: content and engagement.

[ Key principles ]
  • [ 01 ]

    Unified content feed

    merged Twitch and YouTube into a personalized, preference-driven experience

  • [ 02 ]

    XP-based engagement economy

    turned viewing and actions into redeemable value

  • [ 03 ]

    Sponsor activation system

    transformed quests, drops, and giveaways into behavior-based campaigns

  • [ 04 ]

    Social competition layer

    introduced clans with XP multipliers to drive retention

  • [ 05 ]

    Scalable engagement framework

    designed a system for sustained growth, rewards, and monetization

What we built

[ SOLUTION ]

  1. Content Aggregation Layer

    Content Aggregation Layer
    • Unified feed pulling streams and highlights from Twitch and YouTube
    • Personalized ranking based on user tags and preferences
    • Continuous esports content discovery system
    RESULT

    Single entry point for all esports viewing

  2. Watch-to-Earn XP System

    Watch-to-Earn XP System
    • XP earned from viewing time and platform activity
    • Redeemable reward catalog (digital + physical goods)
    • Persistent user progression system
    RESULT

    Transformed passive watching into measurable value

  3. Quests, Drops & Campaign Engine

    Quests, Drops & Campaign Engine
    • Sponsor-driven engagement campaigns (quests, drops, giveaways)
    • Behavior-based targeting and timing controls
    • Configurable engagement mechanics per campaign
    RESULT

    Direct interaction channel between sponsors and audiences

  4. Clan System

    Clan System
    • Seven competitive clans with identity and progression mechanics
    • XP multipliers from 1.1x to 2x based on clan participation
    • Social competition and ranking structure
    RESULT

    Long-term retention through group-based motivation

  5. Authentication & Rewards Ecosystem

    Authentication & Rewards Ecosystem
    • Unified user profiles with XP, clan, and reward history
    • Persistent login-based engagement layer
    • Full progression tracking across platform activity
    RESULT

    Continuous user identity and retention loop

Results

Business impact

01

Established a retention layer beyond live esports events

02

Enabled sponsor-driven engagement campaigns instead of passive ads

03

Increased repeat usage through clan competition mechanics

04

Created habitual engagement through XP accumulation and rewards

05

Built scalable foundation for esports community monetization

[ Technical results ]

  • Unified content aggregation pipeline across Twitch and YouTube
  • Fully operational XP economy (earn, track, redeem flows)
  • Clan system supporting 7 groups with multiplier mechanics
  • Campaign system for quests, drops, and giveaways
  • Personalized feed engine based on user preferences

Team and tools

[ TEAM & TECH ]

Delivered by our internal team — product, engineering, and design working together to validate the concept and ship a fully functional platform.

  1. Ruby on Rails

Related work

[ FEATURED CASES ]

  1. Campaign & Data-Driven Platform Development

    GG.BET - Campaign & Data-Driven Platform Development

    Built a system for managing large-scale streamer campaigns and sponsor integrations - turning fragmented processes into a scalable product.

    • Centralized campaign management across multiple streamers
    • Integrated real-time data and reporting systems
    • Automated sponsor banner rotation and delivery
    • Reduced manual operations and improved scalability
    • Enabled consistent execution of multi-streamer campaigns
  2. CS.BET

    Skin Lootbox Platform

    CS.BET - Sportsbook Product Redesign

    Full lootbox platform for the CS:GO skin economy — Steam bot infrastructure, real-time inventory management, and a unique X-ray mechanic.

    • Steam bot infrastructure for real-time item management and player transfers
    • Admin tooling for lootbox creation and drop rate configuration
    • X-ray feature to preview box contents — boosting purchase confidence and revenue
    • Third-party payment integration and automated inventory replenishment
  3. Automated Game Prediction System

    goPredict - Automated Game Prediction System

    Built a real-time prediction system for streamers — generating interactive viewer challenges automatically from live game events, with zero interruption to gameplay.

    • Automated prediction generation triggered by real-time in-game events
    • Live data integration for instant resolution and outcome tracking
    • Voice activation and zero-click interaction keeping streamers in the game
    • Cross-platform architecture built for Twitch, YouTube Gaming, and Kick
See all case studies

Start with an AI prototype

See how your feature, flow, or idea works in practice — with real logic, data, and interaction.

Turn your idea into a working product concept in 2–3 days — validate logic, features, and user flows before investing in full development.

  1. Align on product structure and scope
  2. Test core ideas with real interactions
  3. Validate before committing budget