entertainment / fintech
Buzz9ja
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LitreGre Prediction
Product: Sports Prediction Platform
Data-Driven Sports Predictions, Accessible Everywhere
LitreGre Prediction is a subscription-based sports prediction platform providing football and sports insights through both web and low-bandwidth telecom channels.
Next.jsReact NativeGolang API
At a Glance
INDUSTRY
SportsEntertainment
TECHNOLOGY
Next.js
Python API
USSD/SMS Gateway
PRIMARY USERS
Sport Fans
Predicition
SERVICES
PredictionsAccount TrackingMatch PreviewsVIP ContentSMS AlertsResponsible Gaming
STATUS
Live
PLATFORM
USSD
SMS
Web
Behind the Product
Context
High-speed internet and smartphones cannot be assumed for every sports fan. LitreGre was created around the need to make professional-grade sports insights available through channels that remain accessible even when data connectivity is limited.
Business Context
The business opportunity was to combine a data-driven prediction experience with a subscription model that could operate through USSD and SMS while providing a richer web experience for users who had internet access.
Target Users
- Sports fans
- Prediction subscribers
The Challenge
01
Limited reliable tenant verification
02
Informal screening processes
03
Difficulty assessing creditworthiness
04
Multiple verification requirements
05
Property inspection coordination
06
Complex administrative responsibilities
The Solution
Maekandex implemented a hybrid prediction ecosystem combining a web platform with USSD and SMS.
Prediction Engine
Generates and distributes daily sports predictions.
Accuracy Dashboard
Makes prediction performance visible by tracking overall accuracy, leagues, and prediction types.
Match Preview
Provides additional context through team form and head-to-head information.
VIP Predictions
Provides gated premium content such as Accumulator Tips and Bet of the Day.
Responsible Gaming
Includes an 18+ gate and self-exclusion mechanisms.
SMS/Web Handoff
A secure tokenized flow connects users moving from telecom channels to the web.
Solution Analysis
The central architectural challenge was bridging sophisticated prediction logic with low-bandwidth interfaces. The hybrid model allows algorithms and richer processing to operate through the web/backend environment while the USSD/SMS layer delivers concise information to users who may have limited or no data connectivity.
Product Overview
01
Daily Predictions
Users access predictions covering major European leagues and the Nations Cup.
02
Accuracy Tracking
Prediction performance is tracked and displayed transparently across leagues and bet types.
03
Match Preview
Users can examine supporting match information before making decisions.
04
VIP Content
Premium subscribers receive additional prediction products like Accumulator Tips.
05
SMS Alerts
Subscribers can receive relevant updates directly through telecom channels.
How it Works
01
Dial USSD
The subscriber begins through the USSD service.
02
Select League / Prediction
The user navigates the available sports and prediction categories.
03
Receive Tip
Relevant prediction information is delivered through SMS.
04
Continue on Web
Where richer information is required, the user can transition to the web experience.
05
Track Accuracy
Prediction performance can be reviewed through the web dashboard.
Results That Matter
Hybrid USSD/SMS/Web prediction platform operational
Transparent accuracy tracking across leagues
Sports predictions accessible without internet
Premium VIP subscription model established
Responsible gaming features integrated
Built With
Website
Next.js
Backend
Python API
Telecom
USSD GatewaySMS Gateway
Infrastructure
Cloud HostingCDN
Why Partner With Maekandex Communications Limited.
Telecom-Web Bridging
Maekandex combines traditional telecom channels with modern web experiences.
Accessibility Engineering
Complex information can be delivered through simple, low-bandwidth interfaces.
Transparent Product Architecture
Performance tracking was treated as part of the product experience rather than hidden operational data.
Responsible Product Design
Age-gating and self-exclusion were incorporated into the experience.
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