How to Solve Tweet Counts Per Frequency Leetcode Problem - Interview Coder Guide
Get Monthly InterviewCoder for $99 $25!
First 100 customers only
24
:
00
:
00
Used by 87,000+ developers who passed their interviews

How to Solve Tweet Counts Per Frequency Problem

Master the Tweet Counts Per Frequency LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.

Interview Coder generates complete solutions and debugging hints that you can use while explaining your approach, so you stay calm and in control.

undetectable
real-time
works on major platforms
Medium#1470
LeetCode Problem

Tweet Counts Per Frequency

A social media company is trying to monitor activity on their site by analyzing the number of tweets that occur in select periods of time. These periods can be partitioned into smaller time chunks bas...

Hash TableBinary SearchDesign+2 more

Interview Coder will help you solve this problem in real-time during your interview

✨ Get instant solutions, explanations, and code generation

Problem Breakdown

Understanding the Tweet Counts Per Frequency Problem

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

Problem Statement

A social media company is trying to monitor activity on their site by analyzing the number of tweets that occur in select periods of time. These periods can be partitioned into smaller time chunks based on a certain frequency (every minute, hour, or day). For example, the period [10, 10000] (in seconds) would be partitioned into the following time chunks with these frequencies: Every minute (60-second chunks): [10,69], [70,129], [130,189], ..., [9970,10000] Every hour (3600-second chunks): [10,3609], [3610,7209], [7210,10000] Every day (86400-second chunks): [10,10000] Notice that the last chunk may be shorter than the specified frequency's chunk size and will always end with the end time of the period (10000 in the above example). Design and implement an API to help the company with their analysis. Implement the TweetCounts class: TweetCounts() Initializes the TweetCounts object. void recordTweet(String tweetName, int time) Stores the tweetName at the recorded time (in seconds). List<Integer> getTweetCountsPerFrequency(String freq, String tweetName, int startTime, int endTime) Returns a list of integers representing the number of tweets with tweetName in each time chunk for the given period of time [startTime, endTime] (in seconds) and frequency freq. freq is one of "minute", "hour", or "day" representing a frequency of every minute, hour, or day respectively.

MediumProblem #1470
LeetCode

Tweet Counts Per Frequency

Related Topics
Hash TableBinary SearchDesignSortingOrdered Set
How Interview Coder Helps

Get real-time assistance for Tweet Counts Per Frequency problems during coding interviews. Interview Coder provides instant solutions and explanations.

Examples

Example 1
INPUT
Example input
OUTPUT
Example output
Example 2
INPUT
Example input 2
OUTPUT
Example output 2

Constraints

How Interview Coder Helps with Leetcode Problems

Trust anchors reduce friction for conversion. Reinforce undetectability claims, platform compatibility, user counts, and the free trial to remove perceived risk.

87,000+
developers use Interview Coder
and early launch metrics showed rapid adoption
95%
success rate
of users pass their interviews
100%
undetectable
native desktop architecture
Real-time
assistance
instant solutions during interviews

See Interview Coder in Action

Watch how Interview Coder helps solve LeetCode problems during live interviews

Play

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

More than 87,000 developers use Interview Coder and early launch metrics showed rapid adoption. 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 during live interviews.

Platform compatibility and limitations

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

Frequently Asked Questions

Common questions about solving Tweet Counts Per Frequency and using Interview Coder during coding interviews.

Interview Coder generates complete solutions instantly with proper complexity analysis, letting you focus on explaining your approach and demonstrating problem-solving skills rather than getting stuck on implementation details during high-pressure situations.

Interview Coder - AI Interview Assistant Logo

Ready to Get Started?

Download Interview Coder now and join thousands of developers who have aced their coding interviews