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teja2495
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teja2495/quick-search

Universal search app for Android which can search apps, shortcuts, contacts, files, calendar events, notes, settings and the internet.

Kotlin ◇ developer-tools MIT
★554STARS
⑂44FORKS
!3ISSUES
🏆#5,357GLOBAL RANK
🔥4DAYS TRENDING
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Momentum

+14

STARS · LAST 30 DAYS

1

PER DAY

#199

MOST-STARRED Kotlin

Window7 days30 days90 days
Stars gained+7+14+90
Per day111
Forks gained+1+3+10

quick-search gained 14 stars in the last 30 days, about 1 a day, and now has 554. It is about 1 year old and has averaged roughly 554 stars a year. It ranks #199 among Kotlin repositories and #5,357 across all languages on GitHubRepo.

Trending Record

quick-search has maintained a continuous presence across global trending indexes, peaking at #4066. Below is the 30-day activity profile:

💡 Overview

quick-search is an open-source project written in Kotlin: Universal search app for Android which can search apps, shortcuts, contacts, files, calendar events, notes, settings and the internet.

Engineered for speed, consistency, and developer ease, it solves common hurdles in Kotlin. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Kotlin for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ git clone https://github.com/teja2495/quick-search.git
cd quick-search

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

JDK 17+, Kotlin compiler >= 1.9

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

quick-search coordinates its core functionality through a modular Kotlin pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Production System Integration

Embed quick-search into Kotlin backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open MIT license.

🚀 Getting Started

1

Install quick-search using your package manager: `git clone https://github.com/teja2495/quick-search.git`

2

Initialize your project workspace or configuration file for quick-search.

3

Import quick-search into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `quick-search --help` to verify successful setup.

👍 Strengths

Active community backing with 554 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Kotlin for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Kotlin and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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AirPods liberated from Apple's ecosystem.

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square/leakcanary ★ 30K Kotlin

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👥 Who Should Use This

Developers and engineering teams building with Kotlin, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

teja2495/quick-search is currently ranked #5,357 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#5,348 maplibre/maplibre-tile-spec Rust ★ 556 Compare ↗
#5,348 sourcentis/mercator PHP ★ 556 Compare ↗
#5,354 HyperionGameTech/HyperionEngine C++ ★ 555 Compare ↗
#5,354 kedacore/http-add-on Go ★ 555 Compare ↗
#5,354 shanliuling/dsh-image-gen TypeScript ★ 555 Compare ↗
#5,357 teja2495/quick-search This Project Kotlin ★ 554
#5,357 tommy0103/obelisk JavaScript ★ 554 Compare ↗
#5,357 Dstack-TEE/dstack Rust ★ 554 Compare ↗
#5,360 bcoles/kasld C ★ 553 Compare ↗
#5,360 SimonCropp/WinDebloat C# ★ 553 Compare ↗
#5,360 levelsio/superlevels JavaScript ★ 553 Compare ↗

Frequently Asked Questions

What does quick-search do? +

Universal search app for Android which can search apps, shortcuts, contacts, files, calendar events, notes, settings and the internet.

What language is quick-search written in? +

The primary language is Kotlin. Topics include: software.

Is quick-search actively maintained? +

Yes, the last recorded push was on Sep 29, 2026 with 3 open issues being tracked.

How many stars does quick-search have? +

quick-search has 554 stars and 44 forks on GitHub.

How does quick-search rank among GitHub repositories? +

With 554 stars, teja2495/quick-search is ranked #5,357 globally across all repositories tracked on GitHubRepo and #199 among Kotlin projects.

What license is quick-search distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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