SwipeSense

Inspiration

Many people already understand credit card rewards, points and cashback systems. The real problem isn’t awareness - it’s execution. In real life, optimizing every purchase means remembering categories, caps, rotating offers and edge cases, which quickly becomes messy and unrealistic. SwipeSense was inspired by this gap between knowing the system and actually maximizing it.

What it does

SwipeSense helps reward-savvy users make better decisions at the moment of spend. Instead of mentally calculating reward rules, users swipe through spending scenarios and instantly see which option gives them the highest return in points or cashback. The goal is simple: reduce friction and stop value from slipping away in everyday transactions.

How we built it

We built SwipeSense as an interactive, swipe-based experience backed by structured reward logic. Reward rules are modeled as data, mapped against spending categories and user inputs. The system evaluates options dynamically and surfaces the most rewarding choice in real time. The swipe interface keeps the interaction fast, intuitive and focused on decision-making rather than explanation.

Challenges we faced

One of the biggest challenges was balancing complexity and simplicity - reward systems are inherently complex but the user experience needed to feel effortless. Designing logic that stayed accurate while remaining easy to interact with was a constant trade-off. Another challenge was avoiding “education mode” and instead building something genuinely useful for users who already know the game.

What we learned

We learned that small inefficiencies compound quickly and that good tools aren’t about adding more information - they’re about reducing mental load. By focusing on execution rather than explanation, SwipeSense shows how thoughtful design and data can meaningfully improve everyday financial decisions.

Built With

• api
• css
• html
• javascript
• nextjs