Pioneering AI in Sports Betting
One Week to 80% Accuracy and 10K Users
- Live product:
- betsense.ai (opens in a new tab)
- Technology:
- Webflow | React & Next JS | Open AI
- Industry:
- SPORTSBOOK

Untapped Market Potential
Mid 2024, along with the growing popularity of Chat GPT and other AI models, the TDSOFT team identified a critical gap in the AI application in the sports prediction market - existing prediction platforms were built on the specialized and narrow knowledge of professional bettors and analysts. The results were only good in a narrow group of interests and too expensive for everyday betting enthusiasts.
Our Strategic Decision: Build the platform we wished existed in the market - combining professional-grade AI analytics with an intuitive user experience, delivered at accessible pricing.

Limited AI Integration
Most competitors used basic statistical models

Poor User Experience
Complex interfaces are deterring casual users

Single-Source Data
Limited accuracy from narrow data sets

Slow Data Updates
Updates are insufficient for live betting

Expensive Enterprise Solutions
Pricing out mid-market professionals
Rapid Innovation using No-Code & AI
We applied our signature development methodology to create BetSense.ai, demonstrating the power of strategic no-code integration with custom architecture and AI models.


No-Code Marketing Foundation
Webflow promotional site: Professional presence live in 8 hours
- Brand-aligned design: Establishing market credibility immediately thanks to rapid branding creation.
- SEO-optimized structure: A simple structure that delivered organic traffic from day one, thanks to a huge number of AI-related search queries.

Hybrid Platform Development
Strategic tool selection: No-code where speed matters, custom where performance counts
- Rapid prototyping: Validating core concepts in days, not months
- Iterative development: Real user feedback integrated continuously

Data Processing Architecture
Data Integration
Sports data source
Apify Scrapers
Automated scraping based on a schedule
Make.com Webhooks
Automatic trigger after scraping is completed
Airtable
Central database with team mapping

Ai Processing Pipeline
Automated processing every 30 minutes
api/src/b2c/b2c.scheduler.ts

Airtable Data Load
The BetSense API fetches the latest records

ChatGPT API Integration
Data analysis and generation of AI insights

B2C Content Generation
- Predictions
- Insights
- Forecasts
Market Validation of Our Approach
Rapid Development:
- Rapid market entry in days instead of months
- 70% cost reduction through strategic tool selection
- Professional quality without dev time penalties
AI-Powered Platforms:
- Enterprise-grade AI integration bringing real advantage, without complexity
- Multi-source data orchestration for superior insights
- Real-time processing handling demanding performance requirements
Market Success:
- User-validated functionality from day one
- Scalable architecture growing with your success
- Competitive differentiation through technical superiority

