DEV Community: piyush das

DocScan Pro

piyush das — Sat, 11 Apr 2026 16:29:34 +0000

This is a submission for the DEV April Fools Challenge

What I Built

DocScan Pro is a "high-end" document conversion suite. It features a custom camera viewfinder with a scanning laser to "digitize" your documents. It supports conversions from PDF to DOCX, PPTX, and more. The catch? After a grueling 30-second "rendering" process, every single file you download is just a giant "APRIL FOOLS" message.

Demo

https://piyushdas1624.github.io/DocScan/

Code

https://github.com/Piyushdas1624/DocScan

How I Built It

The goal here was psychological warfare. I architected a multi-stage loading sequence to build "Sunk Cost" in the user. I used the HTML5 Camera API with facingMode: environment for a true mobile experience. For the downloads, I utilized the Blob API to generate fake files on the fly. I originally architected a file-padding system to match the exact byte size of the uploaded file, but pivoted to a "High-End Configuration" joke when the performance of opening 2MB text files became its own (unintentional) prank.

Prize Category

Community Favorite. It targets the universal experience of waiting for slow enterprise software, only to be disappointed by the result.

Volex (Volume by Exercise)

piyush das — Sat, 11 Apr 2026 16:26:44 +0000

This is a submission for the DEV April Fools Challenge

What I Built

Volex (Volume Exercise) is a video player where the volume slider is replaced by physical labor. Want to hear the music better? Do a jumping jack. Want to turn it down? Do another one. It uses your webcam to ensure you're actually sweating for your entertainment.

Demo

https://piyushdas1624.github.io/volex/

Code

https://github.com/Piyushdas1624/volex

How I Built It

This was the most technically complex build. I used Google's MediaPipe Pose Landmarker to track 33 body points in real-time. The breakthrough was implementing a State Machine logic: the app monitors the vertical relationship between the wrists and shoulders. To prevent accidental volume changes, I architected a "Neutral Zone" (Safe Spot) that the user must return to between reps. I managed the AI to implement this state-tracking logic to ensure the app works even on low-quality webcams.

Prize Category

Best Google AI Usage. It pushes MediaPipe beyond simple tracking and turns it into a functional (albeit annoying) hardware controller.

Someday (The Evasive To-Do List)

piyush das — Sat, 11 Apr 2026 16:21:42 +0000

This is a submission for the DEV April Fools Challenge

What I Built

Someday is the world’s first "Procrastination-First" task manager. It looks like a minimalist productivity tool, but the checkboxes are sentient and terrified of commitment. Every time you try to check off a task, the box calculates the vector of your cursor and flees in the opposite direction.

Demo

https://piyushdas1624.github.io/someday/

Code

https://github.com/Piyushdas1624/someday

How I Built It

I wanted to explore the boundaries of user frustration through DOM manipulation. The logic uses a mousemove listener that calculates the distance between the cursor and the checkbox using the Pythagorean theorem. If the cursor enters the "danger zone," the AI-generated logic triggers a CSS transform: translate() to move the box. I architected it so that the "Delete" button works perfectly, proving it's always easier to give up than to get things done.

Prize Category

Community Favorite. Because everyone who has ever looked at a growing to-do list will feel the "vibe" of this project.

Hindsight-Forecast

piyush das — Sat, 11 Apr 2026 16:14:36 +0000

This is a submission for the DEV April Fools Challenge

What I Built

Hindsight-Forecast is a premium-grade weather dashboard that provides 100% accurate, hyper-local weather data... for exactly 24 hours ago. It’s designed for those who live in the past and want to know exactly why they got wet walking to work yesterday. It features "Brutal" sarcasm levels and helpful hindsight insights like "You should have worn a jacket."

Demo

https://piyushdas1624.github.io/Hindsight-Forecast/

Code

https://github.com/Piyushdas1624/Hindsight-Forecast

How I Built It

As an AI Administrator, I architected this app to bridge the gap between "Premium UI" and "Useless Logic." I utilized the Open-Meteo Historical Weather API to fetch data based on the user's IP-detected coordinates. The core challenge was synchronizing timezones to ensure the "Current" weather displayed was the exact hourly match from the previous day. I guided the AI to build a sleek, responsive dashboard using Vanilla JS, focusing on a "Hindsight" user experience.

Prize Category

Best Ode to Larry Masinter. This project captures the spirit of the "418 I'm a Teapot" error—a technically perfect implementation of something that refuses to do what you actually need it to do.