Shoppinlyst Earns a 35 Proof of Usefulness Score by Building an Advanced Grocery List System

Written by mateo_87 | Published 2026/02/09
Tech Story Tags: proof-of-usefulness-hackathon | hackernoon-hackathon | software-development | shoppinlyst | smart-grocery-lists | consumer-utility-apps | consumer-mobile-apps | digital-grocery-lists

TLDRShoppinlyst is a native iOS grocery app that merges smart list-building with local store discovery and has earned a 35 Proof of Usefulness score for its practical, everyday utility.via the TL;DR App

Welcome to the Proof of Usefulness Hackathon spotlight, curated by HackerNoon’s editors to showcase noteworthy tech solutions to real-world problems. Whether you’re a solopreneur, part of an early-stage startup, or a developer building something that truly matters, the Proof of Usefulness Hackathon is your chance to test your product’s utility, get featured on HackerNoon, and compete for $150k+ in prizes. Submit your project to get started!


In this interview, we talk with Mateo Fernando Osorio Delhonte, the creator of Shoppinlyst. Shoppinlyst is a mobile-first utility designed to streamline the grocery shopping experience by combining list creation with local store discovery.

What does Shoppinlyst do? And why is now the time for it to exist?

Shoppinlyst is a full-stack iOS app for iPhone and iPad that helps users find nearby grocery stores, access their websites or apps, and build smart, customizable grocery lists. While designed for shopping, its list-building system can be used for almost any purpose.


Now is a good time for Shoppinlyst to exist because it brings together a fragmented shopping experience—discovering stores, checking availability online, and juggling paper lists—into a single, cohesive mobile workflow.

What is your traction to date? How many people does Shoppinlyst reach?

222 users/per month

Who does your Shoppinlyst serve? What’s exciting about your users and customers?

The app targets busy, mobile-first shoppers such as students, young professionals(20-30), and families who want a faster, more organized way to plan grocery shopping. These users value convenience and rely on their phones to make lists, find nearby grocery stores, and access store websites or apps. The app helps reduce time, stress, and app-switching by bringing grocery lists and local store access into one simple platform.

What technologies were used in the making of Shoppinlyst? And why did you choose ones most essential to your techstack?

Shoppinlyst leverages the native iOS ecosystem to ensure a smooth user experience on iPhone and iPad. The tech stack relies heavily on Swift and standard Apple APIs to handle location services and user interface elements, while XML is utilized for data structuring. This native approach ensures performance and seamless integration with the device's capabilities.

What is traction to date for Shoppinlyst? Around the web, who’s been noticing?

Early interest is bubbling up on social channels. The project maintains an active presence on Instagram, and the founder has shared development updates on LinkedIn to gather feedback from professional connections. While currently serving a small cohort, these platforms are serving as the initial feedback loops for the app's development.

Shoppinlyst scored a 35 proof of usefulness score (https://proofofusefulness.com/reports/shoppinlyst)

What excites you about this Shoppinlyst's potential usefulness?

As a founder, I’m excited about this project because it solves a real, everyday problem that almost everyone experiences—making grocery shopping easier and less stressful. The idea of combining smart list-making with location-based store discovery and direct access to store websites or apps feels genuinely useful and practical. I’m motivated by the potential to save people time, reduce frustration, and simplify a routine task, while creating a tool that can easily become part of users’ daily lives. Additionally, it has a lot of market opportunity, such as charging a subscription for shared list, or recipes options in the app.


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Published by HackerNoon on 2026/02/09