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HomeLeetCode ProblemsSequentially Ordinal Rank Tracker
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How to Solve Sequentially Ordinal Rank Tracker Problem

Master the Sequentially Ordinal Rank Tracker LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.

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Hard#2102
LeetCode Problem

Sequentially Ordinal Rank Tracker

A scenic location is represented by its name and attractiveness score, where name is a unique string among all locations and score is an integer. Locations can be ranked from the best to the worst. The higher the score, the better the location. If the scores of two locations are equal, then the location with the lexicographically smaller name is better. You are building a system that tracks the ranking of locations with the system initially starting with no locations. It supports: Note that the test data are generated so that at any time, the number of queries does not exceed the number of locations added to the system. Implement the SORTracker class:

DesignHeap (Priority Queue)Data StreamOrdered Set

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Problem Breakdown

Understanding the Sequentially Ordinal Rank Tracker Problem

Let's break down this LeetCode problem and understand what makes it challenging in interview settings.

Problem Statement

A scenic location is represented by its name and attractiveness score, where name is a unique string among all locations and score is an integer. Locations can be ranked from the best to the worst. The higher the score, the better the location. If the scores of two locations are equal, then the location with the lexicographically smaller name is better. You are building a system that tracks the ranking of locations with the system initially starting with no locations. It supports: Note that the test data are generated so that at any time, the number of queries does not exceed the number of locations added to the system. Implement the SORTracker class:

HardProblem #2102
LeetCode

Sequentially Ordinal Rank Tracker

Related Topics

DesignHeap (Priority Queue)Data StreamOrdered Set

How PhantomCodeAI Helps

Get real-time assistance for Sequentially Ordinal Rank Tracker problems during coding interviews. PhantomCodeAI provides instant solutions and explanations.

Examples

# Example 1

Input
—
Output
—

Constraints

name consists of lowercase English letters, and is unique among all locations.
1 <= name.length <= 10
1 <= score <= 105
At any time, the number of calls to get does not exceed the number of calls to add.
At most 4 * 104 calls in total will be made to add and get.

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Solve Sequentially Ordinal Rank Tracker — A scenic location is represented by its name and attractiveness score, where nam...

Here's the optimal approach using Design:

def solve(input):
# Optimal O(n) solution
return result

Time: O(n)  |  Space: O(n)

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Undetectability Checklist

Run compatibility test before interviews
Use recommended Zoom version settings
Enable advanced screen capture options
Verify native desktop architecture
Test with screen recording software

Platform Compatibility

Zoom
Supported
Google Meet
Supported
HackerRank
Supported
CodeSignal
Supported
CoderPad
Supported
Teams
Supported

User results and traction

Thousands of developers use PhantomCodeAI. Social proof signals that this approach helps real candidates land offers across a range of companies.

Undetectability and technical details

Our native desktop architecture avoids common detection vectors used by browser extensions. We provide a clear checklist so you can run basic checks and confirm the app will be invisible.

Platform compatibility and limitations

We work with Zoom, HackerRank, CodeSignal, CoderPad and other web-based platforms. Check the compatibility note and request a browser link if a specific desktop app is unsupported.

Frequently Asked Questions

Common questions about solving Sequentially Ordinal Rank Tracker and using PhantomCodeAI during coding interviews.

How does PhantomCodeAI help with LeetCode problems during a coding interview?
PhantomCodeAI reads the problem from a screenshot or listens to it via audio, then generates a complete solution with a step-by-step approach and time/space complexity, so you can focus on explaining your reasoning rather than getting stuck on implementation.
Which programming languages does PhantomCodeAI support?
11 languages including Python, Java, C++, JavaScript, TypeScript, Go, Rust, Ruby, Swift, Kotlin, and C#. Set a preferred language to get idiomatic solutions.
Does PhantomCodeAI work with HackerRank, CodeSignal, and CoderPad?
Yes — it works alongside LeetCode, HackerRank, CodeSignal, CoderPad, and HackerEarth, plus any browser-based coding environment.
Can PhantomCodeAI handle follow-up questions and modifications?
Yes. Capture the modified problem by screenshot or audio and get an updated solution within seconds, including new edge cases and optimizations.
Is PhantomCodeAI detectable during live interviews?
PhantomCodeAI runs as a native desktop overlay that does not appear in screen shares, recordings, or proctoring software, and works with Zoom, Google Meet, Microsoft Teams, and major coding platforms.
Should I still practice these problems on my own first?
Yes. The most durable preparation is solving problems unaided first, then using AI afterward to review your approach, complexity, and missed edge cases — use it to debrief and learn, not to skip the reps.

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