The Problem with Screenshots Isn't Storage. It's Memory.

Nikunj Maheshwari — Wed, 05 Aug 2026 18:27:26 +0000

Estimated reading time: 4 min

Your Screenshots Aren't Memories. They're Forgotten.

Every day, we take screenshots.

A coding trick we might need later. A recipe someone shared. A travel itinerary. A tweet with an interesting opinion. A meme. An interview question. A reminder.

At that moment, every screenshot feels important.

So we save it.

And then... we almost never look at it again.

After a few months, our gallery contains hundreds or even thousands of screenshots. We know the information is somewhere, but finding it is often harder than searching the internet again.

That made me think about something.

The problem isn't that we take too many screenshots.

The problem is that we keep saving information, but almost never come back to it.

Why Existing Solutions Don't Really Solve It

Most gallery apps already provide folders, albums, search, and sometimes even OCR.

Those features are useful, but they still expect us to remember what we're looking for.

For example, suppose I remember saving a screenshot that explained a neat BFS trick.

I probably don't remember:

when I saved it,
what file name it has,
whether "BFS" even appears in the image,
or which folder it belongs to.

I only remember the idea.

Current search systems aren't designed for that kind of memory.

Screenshots Are More Than Images

When I looked through my own screenshots, I noticed they weren't random images.

They were things my past self thought were worth remembering.

Some contained programming notes.
Some were university notices.
Some were life hacks.
Some were recipes.
Some were reminders I forgot existed.

In other words, screenshots are becoming a personal knowledge base—but one that nobody can actually use efficiently.

What If Screenshots Behaved Like a Second Brain?

Instead of treating screenshots as images, what if we treated them as knowledge?

What if every screenshot could be understood instead of simply stored?

What if I could ask questions like:

"Show me the screenshot where I saved the BFS trick."
"Find that paneer recipe I saved a few months ago."
"What screenshots do I have about operating systems?"

Instead of searching by keywords, I would simply search by memory.

That idea eventually became a project I'm calling Breadcrumb.

The name comes from a simple thought: every screenshot is a breadcrumb your past self left behind, hoping your future self would find it again.

The Goal

I'm not trying to build another gallery app.

I'm trying to build a system that understands screenshots, organizes them automatically, retrieves them intelligently, and eventually turns them into something that's actually useful instead of forgotten.

This is going to be a long-term project, and I'll be documenting the entire journey—from the initial idea to the architecture, implementation, technical challenges, and everything I learn along the way.

This article is just the beginning.

The next article will focus on how I'm planning to design the system and why I think today's approach to screenshot search isn't enough.

If you've ever taken a screenshot thinking, "I'll definitely need this later," only to never find it again, I'd love to hear your experience.

I suspect I'm not the only one with this problem.

Follow the Journey

I'm documenting this project from idea to implementation. If you'd like to follow along, you can find me here:

GitHub – Source code and development progress

https://github.com/markstone111
LinkedIn – Project updates and milestones

https://www.linkedin.com/in/nikunjm111
Portfolio – Final case study and project showcase (coming soon)

https://nikunjmaheshwari.vercel.app

Building Breadcrumb
Part 1 — The Problem

📚 Should I Bunk?

Nikunj Maheshwari — Sun, 12 Oct 2025 21:39:35 +0000

An intelligent mobile app that helps students decide whether to skip class. It uses a machine learning model to provide a prediction based on factors like current attendance, professor's strictness, and upcoming tests.

✨ Features

AI-Powered Predictions: Uses a logistic regression model to give a "Bunk" or "Don't Bunk" recommendation.
Cross-Platform: Built with React Native (Expo), it runs on both iOS and Android from a single codebase.
Simple Interface: Clean and intuitive UI to quickly input data and get a result.
Deployable Backend: The Python Flask API is configured for easy deployment on Render.

GitHub

DEV Community: Nikunj Maheshwari