Low on code, high on miles: S’porean uses AI to create tool to maximise credit card rewards
So far, it tracks around 50 credit cards and over 3,300 merchants across Singapore.
Singaporean Hosan Swee, founder of AI community The AI Burrow, has developed KiasuMiles, an AI-powered tool designed to help users maximize credit card rewards. Managing a dozen credit cards to optimize frequent flier miles was a tedious task for Swee and his wife, as each card offered different rewards for various spending categories.
To address this issue, Swee utilized AI coding tools to create KiasuMiles, which quickly identifies the best credit card for a given purchase. The tool queries a database containing credit card minimum spending thresholds, monthly miles caps, and eligible spending categories, which are compiled by AI scanning bank and merchant websites.
With KiasuMiles, users can ask questions like "Best card for GrabFood in-app purchases?" or "Card to use at Cold Storage with Apple Pay?" The tool then returns the most suitable card and any necessary conditions, such as minimum monthly spending and transaction requirements. KiasuMiles' knowledge base also categorizes merchants based on spending categories, as major credit cards in Singapore offer bonus rewards in various sectors, including dining, groceries, retail, travel, and transport.
By leveraging AI coding tools, Swee was able to build KiasuMiles without any prior programming experience, relying on AI to generate the necessary code from plain English prompts.
Written by urgent.news from Straits Times's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
