Forem: Gnanesh Balusa

BrogsCursor: Revolutionizing Workflow Automation with Precise Mouse & Keyboard Recording

Gnanesh Balusa — Fri, 09 May 2025 16:54:44 +0000

Introduction: Why I Built BrogsCursor
As a software engineer deeply immersed in the rapidly evolving landscape of AI automation, I noticed a significant gap in the market. While numerous companies offer browser automation tools, almost all require expensive API subscriptions or have limitations that hinder everyday users.

The question became clear: Why not create a free, open-source solution that puts the power of automation directly in users’ hands?

This is how BrogsCursor was born — a Python-based tool that precisely records and replays mouse movements, clicks, and keyboard inputs with pixel-perfect accuracy. No paid browser APIs, no complicated setups, just straightforward automation for everyone.

What is BrogsCursor?
BrogsCursor is an open-source Python package that enables users to record mouse and keyboard actions with high precision and replay them exactly as they were performed. Think of it as a “digital twin” for your cursor movements that can be saved, edited, and replayed at will.

Whether you’re a developer looking to automate repetitive tasks, a QA engineer creating test scenarios, or simply someone who wants to automate daily workflows, BrogsCursor offers a simple yet powerful solution.

The AI Automation Revolution
The inspiration for BrogsCursor came from observing how AI is transforming various aspects of workflow automation. While large companies develop specialized tools for browser control and automation, these solutions often:

Require expensive subscriptions
Limit the number of automation runs
Restrict customization options
Operate within closed ecosystems
By creating BrogsCursor, I wanted to democratize automation technology. The tool bridges the gap between sophisticated AI-driven workflows and accessible, user-friendly implementation.

Real-World Applications

The Development Journey
Developing BrogsCursor was both challenging and rewarding. The initial concept emerged from my frustration with existing automation tools that seemed unnecessarily complex or expensive for what they offered.

As an engineer passionate about AI and automation, I wanted to create something that would empower users to build their own automation workflows without artificial limitations. The core principles guiding development were:

Accessibility: Anyone should be able to automate repetitive tasks
Precision: Recording and replay must be pixel-perfect
Flexibility: The tool should adapt to different use cases
Openness: Free and open-source for community improvement
After several months of development, testing across different operating systems, and refining the core recording algorithm, BrogsCursor has evolved into a robust tool ready for real-world applications.

Advantages Over Commercial Solutions
When comparing BrogsCursor to similar commercial offerings, several key advantages become apparent:

Cost-Effective: Free and open-source, eliminating subscription costs
Privacy-Focused: All recordings stay local, with no data sent to external servers
Unlimited Usage: No artificial limits on recording length or replay count
Cross-Platform: Works on Windows, macOS, and Linux
Customizable: Full access to source code for modifications and extensions
Community-Driven: Benefit from and contribute to ongoing improvement

Future Roadmap
BrogsCursor is actively being developed, with exciting features planned for upcoming releases:

AI-powered pattern recognition to optimize recorded actions
Browser extension for seamless web automation
Visual editor for modifying recorded sequences
Cloud storage integration for team sharing
Expanded API for deeper integration with other tools

Conclusion
In today’s fast-paced digital environment, automation is no longer a luxury but a necessity for maintaining productivity and efficiency. BrogsCursor represents my commitment to making powerful automation tools accessible to everyone.

By providing a free, open-source solution for precise cursor and keyboard automation, I hope to empower users to reclaim valuable time and focus on the creative aspects of their work rather than repetitive tasks.

Whether you’re a developer, content creator, data analyst, or simply someone looking to streamline daily computer tasks, BrogsCursor offers a powerful yet accessible pathway to personal automation.

Gnanesh Balusa is a software engineer specializing in Python development and automation technologies. With a passion for creating accessible tools that enhance productivity, Gnanesh continues to contribute to the open-source community through projects like BrogsCursor.

For more information, visit the BrogsCursor
GitHub repository or connect with Gnanesh on LinkedIn., Pypi organization

Dhvagna-DOM: A Lightweight TypeScript DOM Ready Utility by Gnanesh Balusa

Gnanesh Balusa — Mon, 05 May 2025 13:50:40 +0000

dhvagna-dom

What makes dhvagna-dom stand out? Unlike other DOM-ready utilities, this package combines TypeScript support, minimal size (0.7KB), intelligent state detection, and cross-browser compatibility while offering features like optional timeouts and proper event cleanup. It's the smartest choice for modern web development when you need reliable DOM-ready detection without the bloat.

A lightweight utility (less than 1KB) to ensure your JavaScript code runs after the DOM is fully loaded, solving the common issue where developers face issues accessing DOM elements due to scripts running before the DOM is fully loaded.

Top Reasons to Choose dhvagna-dom

Why dhvagna-dom is the top priority choice	Advantage over similar solutions
Smallest possible footprint	5-10x smaller than alternatives like jQuery (0.7KB vs 30KB+)
Modern TypeScript implementation	Built from the ground up with TypeScript, not just type definitions added later
Smart state detection	Intelligently checks if DOM is already loaded before attaching events
Clean event handling	Properly removes event listeners after firing to prevent memory leaks
Optional timeout fallback	Unique feature not available in most alternatives
Framework-agnostic	Works with React, Vue, Angular or vanilla JavaScript without conflicts

Why Use dhvagna-dom?

Problem	Solution with dhvagna-dom
Scripts run before DOM is ready	Ensures your code executes at the perfect moment
Errors like `Cannot read property of null`	Guarantees DOM elements exist before accessing them
Complex workarounds and event handling	Simple, clean API that handles all edge cases
Performance concerns with heavy libraries	Ultra-lightweight (<1KB) with zero dependencies
Browser inconsistencies	Works reliably across all modern browsers

Unlike bulky frameworks that include DOM-ready functionality as part of a larger package, dhvagna-dom does one thing exceptionally well. It provides the most efficient and reliable way to execute JavaScript code when the DOM is fully loaded and ready for manipulation.

How It Works Internally

dhvagna-dom uses a multi-layered approach to ensure maximum reliability:

State Detection: First checks if the DOM is already loaded by examining document.readyState
Event Subscription: If not already loaded, attaches listeners to both:
- DOMContentLoaded (fires when HTML is fully parsed)
- load (fallback that fires when all resources are loaded)
Cleanup: Properly removes event listeners once triggered
Safety Timeout: Optional timeout parameter as a fallback mechanism

This approach ensures your callback runs at the earliest possible moment when the DOM is ready, but never before.

The Problem

Have you ever encountered errors like this?

// This fails because the element doesn't exist yet
const element = document.getElementById('my-element');
element.innerHTML = 'Hello World'; // TypeError: Cannot set property 'innerHTML' of null

Installation

You can install dhvagna-dom using npm, yarn, or pnpm:

# Using npm
npm install dhvagna-dom

# Using yarn
yarn add dhvagna-dom

# Using pnpm
pnpm add dhvagna-dom

You can also find the source code on GitHub:
https://github.com/gnanesh-16/dhvagna-dom

Usage

Basic Usage

import dhvagnaDom from 'dhvagna-dom';

dhvagnaDom(() => {
  // Your code here will run when the DOM is fully loaded
  const element = document.getElementById('my-element');
  element.innerHTML = 'Hello World';
});

With TypeScript

The package includes TypeScript definitions out of the box:

import { dhvagnaDom } from 'dhvagna-dom';

dhvagnaDom(() => {
  const element = document.getElementById('my-element') as HTMLElement;
  element.innerHTML = 'Hello World';
});

With Timeout Option

You can specify a timeout as a safety measure:

import dhvagnaDom from 'dhvagna-dom';

dhvagnaDom(
  () => {
    // Your code here
    console.log('DOM is ready or timeout reached');
  }, 
  { timeout: 3000 } // Will execute after 3 seconds even if DOM isn't ready yet
);

In Browser via CDN

<script src="https://unpkg.com/dhvagna-dom/dist/dhvagna-dom.min.js"></script>
<script>
  window.dhvagnaDom(() => {
    // Your code here
    console.log('DOM is ready!');
  });
</script>

Key Features

Tiny Footprint: Less than 1KB minified and gzipped (0.7KB to be exact)
Zero Dependencies: No external libraries required
TypeScript Support: Built with TypeScript for better developer experience
Framework Agnostic: Works with any JavaScript framework or vanilla JS
Smart Detection: Checks if DOM is already loaded before attaching listeners
Multiple Listeners: Can be called multiple times without conflicts
Universal Browser Support: Works in all modern browsers and IE11+

Performance Metrics

Metric	Value
Size (minified)	~0.9KB
Size (minified + gzipped)	~0.7KB
Execution time	<1ms in most cases
Memory footprint	Negligible
Browser support	All modern browsers + IE11

Technical Comparison

Feature	dhvagna-dom	jQuery	Plain `DOMContentLoaded`	`defer` attribute
Size	0.7KB	30KB+	0KB (built-in)	0KB (HTML attribute)
Handles all edge cases	✅	✅	❌	❌
Works if added after DOM ready	✅	✅	❌	N/A
No dependencies	✅	❌	✅	✅
TypeScript support	✅	Requires @types	✅	N/A
Optional timeout	✅	❌	❌	❌

Browser Compatibility

Browser	Supported Versions
Chrome	9+
Firefox	4+
Safari	5+
Edge	All versions
Opera	10+
IE	11+
iOS Safari	5+
Android Browser	4+

Similar Libraries

Some alternatives to dhvagna-dom include:

domready: The original DOM ready utility
jquery.ready: jQuery's DOM ready functionality
document-ready: Another small DOM ready utility

The main advantage of dhvagna-dom over these alternatives is its extremely small size, TypeScript support, and modern implementation.

License

MIT

Dhvagna-NPI: Lightweight English Speech Transcription for Developers like me Who Demand Simplicity and Speed

Gnanesh Balusa — Wed, 30 Apr 2025 15:03:33 +0000

🎙The Best Voice-to-Text Tool in 2025 You’re Not Using Yet If you’re searching for “voice to text Python”, “speech recognition offline”, or “fast transcription without cloud” — meet Dhvagna-NPI: the sleekest, fastest English speech-to-text tool in the Python ecosystem. Built with simplicity in mind, Dhvagna-NPI works straight out of the box — no heavy model downloads, no cloud APIs, no complex setup.

Gnanesh Balusa After 120+ trials and countless hours of research, I’ve finally created what developers have been asking for: a completely free, unlimited speech-to-text solution that works right out of the box

## The Journey Behind Dhvagna-NPI: When Necessity Drives Innovation
My journey began at the Xplore Hackathon , I was challenged to build a voice-enabled application. What seemed straightforward quickly revealed a significant gap in the market: every speech recognition API required expensive subscriptions or had severe usage limitations.

This challenge evolved into my Major Capstone Project, where I delved deeper into voice recognition technology. My research culminated in an academic paper titled “Analysis of TIMNET Emotional Modeling Approach in Noisy Environment,” where I explored the nuances of accurate speech recognition in less-than-ideal acoustic conditions.

But academic exploration wasn’t enough. I wanted to create a practical solution that would remove barriers for developers everywhere

The Problem That No One Was Solving

After testing over 120 different speech recognition solutions, I discovered a universal frustration among developers:

There was no free speech-to-text API available for lifetime use in applications, websites, and other digital products with minimal code

Every viable solution came with significant limitations:

Usage quotas that quickly escalated to paid tiers
Accuracy problems with non-English languages
Privacy concerns with cloud-based processing
Complex implementation requiring extensive code

Introducing Dhvagna-NPI: The Free Solution Everyone Needed

After months of development, I’m proud to introduce Dhvagna-NPI, a Python package that delivers what developers have been requesting for years: a completely free, privacy-focused speech recognition tool with no usage limits.

The most remarkable part? You can implement it with just few lines of code:

Why Dhvagna-NPI Is Transforming Speech Recognition

1. Completely Free With No Limitations
Unlike commercial APIs that start charging after minimal usage, Dhvagna-NPI is genuinely free for life — whether you’re building a personal project or enterprise-scale application.

2. Your Data Never Leaves Your Device
In a world of increasing privacy concerns, Dhvagna-NPI processes all voice data locally on your device. No data is sent to external servers, making it ideal for sensitive applications in healthcare, legal, and financial sectors.

3. Multilingual Support Without Extra Cost
While most platforms charge premium rates for additional languages, Dhvagna-NPI includes support for:

English (US/UK)
Telugu
French
German
Chinese (Mandarin)
Hindi
Spanish
More being added monthly

4. Developer-First Design Philosophy
Every aspect of Dhvagna-NPI was built with the developer experience in mind:

)

How You Can Start Using It Today

For those wanting to dive deeper, the command-line interface offers both quick and interactive modes:

What’s Next for Dhvagna-NPI?

This is just the beginning. The roadmap includes:

Expanding language support to 20+ languages
Adding specialized vocabulary modules for medical, legal, and technical fields
Developing direct integration with popular frameworks like Flask and Django
Creating pre-built UI components for web application

Join the Voice Recognition Revolution

After 120+ trials and extensive research, I’ve created what I believe is an essential tool for modern development. Dhvagna-NPI represents not just a technical achievement, but a step toward making voice technology universally accessible.

I invite you to:

Try Dhvagna-NPI in your next project
Star the GitHub repository
Share your use cases and feedback
https://www.linkedin.com/pulse/dhvagna-npi-lightweight-english-speech-transcription-who-balusa-albkc/?trackingId=ndJqw6VPTkapPGWBZW10xg%3D%3D
Contribute to this open-source initiative

What would you build if speech recognition was completely free? Share your ideas in the comments!

🔗 Dive In Now

GitHub: dhvagna-npi
PyPI: pip install dhvagna-npi
Read Article on Linkedin/dhvagna-npi python package

If you’re building a transcription feature for an app, bot, assistant, or automation — Dhvagna-npi is your fastest path to accurate voice recognition in English.#AIAccessibility #DeveloperTools #FreeTech #Innovation #Dhvagna-npi

About the Author: Gnanesh is the creator of Dhvagna-NPI and researcher in speech recognition technologies, with published work on emotional modeling in voice recognition systems. This marks his technical article, focused on making advanced technology accessible to all developers.