Zapyt - AI Soccer Accumulator SaaS | Code Bridge Agency Case Study 
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AI SaaS Founder-built MVP Dev · Security Audit · AI Integration

Zapyt

AI-powered accumulator recommendations built for real soccer bettors. Shipped as a full subscription SaaS with 12 security vulnerabilities resolved before a single user signed up.

12
vulnerabilities resolved pre-launch
Live
full SaaS in production
2026
World Cup marketing window targeted
Zapyt AI soccer accumulator SaaS

The situation

A founder with a clear edge in a noisy market. The product had to be better than gut instinct. Provably.

Accumulator betting is saturated with low-quality tips and gut-feel predictions. The founder of Zapyt saw a genuine gap: AI-generated recommendations grounded in real match data, probability weighting, and historical accuracy — not opinion.

The idea was strong. The execution challenge was substantial. A product like this had to ingest live match data reliably, generate recommendations users could actually trust, and operate as a full subscription SaaS from day one. There was no room for a soft launch with rough edges.

With the World Cup 2026 as a marketing anchor, the timeline was fixed. We had to build the whole thing — correctly.

The problem

Financial-adjacent data. No margin for security shortcuts.

When users are making financial decisions based on your platform’s recommendations, security isn’t a checkbox — it’s a foundation. A vulnerability that leaks prediction logic or user data doesn’t just create legal exposure. It destroys the product’s core value proposition: trustworthy data.

We ran a full OWASP-aligned security audit before launch. We found 12 vulnerabilities. We fixed all of them. The platform launched clean.

Project details

Industry
AI SaaS / Sports tech
Tech stack
Laravel React Python PostgreSQL Stripe
Services delivered
MVP Dev Security Audit AI Integration

What we built

Data pipeline, AI layer, subscription SaaS, and a clean security audit. End to end.

01

Live match data pipeline

Reliable ingestion of live match data from multiple sources. Deduplication, normalisation, and storage designed for fast read access from the AI layer during high-traffic periods.

02

AI recommendation engine

Python-based prediction layer with probability-weighted accumulator recommendations. Historical accuracy tracking feeds back into the model. Users see performance data alongside each recommendation.

03

Subscriber SaaS application

Daily recommendations, accuracy history, and subscription management in a clean React frontend. Stripe integration for recurring billing. Free tier to acquisition path designed for low-friction conversion.

04

OWASP security audit

Full pre-launch audit covering injection, authentication, access control, data exposure, and configuration. 12 vulnerabilities identified and resolved. Platform launched with a clean bill of health.

The result

A full SaaS in production. Secure from day one. Timed for the biggest window in the market.

12 fixed
Every vulnerability found in the pre-launch audit was resolved before the platform went live. No deferred security debt.
Live SaaS
Full AI-powered subscription product in production. Real users. Real daily recommendations. Real revenue from day one of launch.
World Cup
Platform is live and positioned ahead of the World Cup 2026 marketing window — the highest-traffic moment in the product’s target market.


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