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Developer Utility Suite

All the small dev tools you keep rebuilding, in one clean workspace.

Fast, browser-only utilities for formatting, decoding, visualizing CS concepts, and building web assets. No uploads, no sign-ups, no distractions.

Popular:
Browser-onlyNo sign-upInstant resultsWorks offline (PWA)Non-intrusive ads

Popular tools

All tools (49+)

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All categories (9)

Interactive Visualizers

Master Computer Science & Version Control Visually

Step through real-time operational animations for data structures, algorithms, Big O complexity, and Git branch workflows.

DSA & Coding Patterns

Master Algorithmic Logic & Coding Interviews

Deep-dive multi-approach breakdowns, underlying mental models, asymptotic Big-O bounds, and clean code across 5 languages.

EasySliding Window
Visualizer

Best Time to Buy and Sell Stock

Determine the maximum single-transaction profit from daily stock prices. A classic demonstration of how tracking a running minimum transforms an O(n²) pair search into an O(n) single pass.

Time: O(n)•Space: O(1)
Python · Java · C++ · JSSolve Problem
EasyArrays & Hashing
Visualizer

Two Sum

Find the two numbers in an array that sum up to a target value. The quintessential problem for learning how to trade memory for speed using a Hash Map.

Time: O(n)•Space: O(n)
Python · Java · C++ · JSSolve Problem
EasyLinked List
Visualizer

Reverse Linked List

Reverse the directional arrows of a singly linked list in-place. The classic test of reference manipulation and memory pointer management.

Time: O(n)•Space: O(1)
Python · Java · C++ · JSSolve Problem
EasyStack
Visualizer

Valid Parentheses

Verify that code brackets (), {}, and [] are properly closed and nested in order. This is the exact algorithm compilers, linters, and IDEs use to detect syntax errors in real-time.

Time: O(n)•Space: O(n)
Python · Java · C++ · JSSolve Problem
EasyBinary Search
Visualizer

Binary Search

Locate a target value in a sorted array in O(log n) logarithmic time. Like opening a dictionary in the middle, each comparison eliminates half the remaining items.

Time: O(log n)•Space: O(1)
Python · Java · C++ · JSSolve Problem
EasyDynamic Programming
Visualizer

Climbing Stairs

Count the distinct ways to reach the top of an n-step staircase when hopping 1 or 2 steps at a time. The premier gentle introduction to Dynamic Programming and state transition.

Time: O(n)•Space: O(1)
Python · Java · C++ · JSSolve Problem
49+Developer Tools
4Project Builders
53+Visualizer Topics
31+DSA Problems
100%Browser-Based
PWAWorks Offline

About

Why We Built ToolMight

As developers, we constantly paste sensitive data—API keys, JWT tokens, JSON payloads, config files—into random online tools. Most of them silently upload your input to remote servers. That's a real security risk.

Every tool, builder, and visualizer on ToolMight runs 100% inside your browser. Nothing is uploaded, logged, or transmitted. It's as private as running software on your own machine.

Is my data secure?

All processing runs locally via client-side JavaScript. No server, database, or cloud service ever sees your input—not even ToolMight's.

Does it work offline?

Yes. ToolMight is a PWA. Once loaded, the entire suite is cached in your browser and works without an internet connection.

Why is it free?

No backend servers means near-zero operating costs. We cover them with non-intrusive ads and pass the savings to you.

Are my settings saved?

Yes. Editor themes, layout preferences, and slider positions persist in localStorage across sessions with no account required.

Explore 49+ tools, 4 builders, 53+ visualizers & 31+ DSA problems

New tools and interactive modules added regularly — 100% free, client-side, and private.

Browse full suite