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1. Two SumEasy
👍 58.2K👎 1.9KCompaniesHint

Given an array of integers nums and an integer target, return indices of the two numbers such that they add up to target.

You may assume that each input would have exactly one solution, and you may not use the same element twice.

Example 1:

Input: nums = [2,7,11,15], target = 9

Output: [0,1]

Explanation: nums[0] + nums[1] == 9

Constraints:

  • 2 ≤ nums.length ≤ 10⁴
  • -10⁹ ≤ nums[i] ≤ 10⁹
  • Only one valid answer exists.
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class Solution:
def twoSum(self, nums: List[int], target: int) -> List[int]:
seen = {}
for i, num in enumerate(nums):
complement = target - num
if complement in seen:
return [seen[complement], i]
seen[num] = i
return []
1. Two SumEasy
👍 58.2K👎 1.9KCompaniesHint

Given an array of integers nums and an integer target, return indices of the two numbers such that they add up to target.

You may assume that each input would have exactly one solution, and you may not use the same element twice.

Example 1:

Input: nums = [2,7,11,15], target = 9

Output: [0,1]

Explanation: nums[0] + nums[1] == 9

Constraints:

  • 2 ≤ nums.length ≤ 10⁴
  • -10⁹ ≤ nums[i] ≤ 10⁹
  • Only one valid answer exists.
1
2
3
4
5
6
7
8
9
10
11
class Solution:
def twoSum(self, nums: List[int], target: int) -> List[int]:
seen = {}
for i, num in enumerate(nums):
complement = target - num
if complement in seen:
return [seen[complement], i]
seen[num] = i
return []
Interview Sidekick
Live
Optimal Approach
1.

Store num → index

2.

Check complement

3.

Return indices

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Real-Time Coding Help During Live Interviews

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problem.py
def solve(nums, target):
# Your solution here
for i in range(len(nums)):
|
Listening to problem...
AI Copilot
SUGGESTION
Use HashMap for O(n) time complexity

Instant Code Suggestions

  • AI listens to the problem
  • Understands constraints
  • Suggests optimal approaches
Algorithm BreakdownO(n)
Approach
1. Create hashmap
2. Loop through array
3. Check complement
4. Return indices
Complexity
Time
O(n)
Space
O(n)
Edge Cases
✓ Empty array
✓ No solution
✓ Duplicates
✓ Negatives

Step-by-Step Logic

  • Pseudocode & edge cases
  • Time & space complexity
  • Clean explanations to verbalize

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Live Transcription
"Find two numbers that sum to target..."
AI analyzing...
Use HashMap → O(n) time complexity
2

Get Real-Time Guidance

AI understands the question and context as it's asked.

solution.py
def twoSum(nums, target):
# HashMap approach
seen = {}
for i, n in enumerate(nums):
if target-n in seen:
return [seen[target-n], i]
TALKING POINTS
Single pass solution
O(n) time & space
Check complement
3

Explain & Implement

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Works with your favorite languages

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JavaScript
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Frequently Asked Questions

No. Our Stealth Mode makes Interview Sidekick completely invisible to screen recording and sharing software. It won't show up on Zoom, Google Meet, Microsoft Teams, or any other platform. Your interviewers will never know you're using it.

Yes! Interview Sidekick works with all major coding interview platforms including CoderPad, HackerRank, LeetCode, CodeSignal, and more. It runs separately from your browser so there's no extension to detect.

Interview Sidekick is a preparation and assistance tool. How you use it is your choice. We designed it to help candidates who struggle with interview anxiety perform closer to their true abilities.

We support all major languages including Python, Java, JavaScript, TypeScript, C++, Go, Rust, C#, Ruby, and Swift. The AI adapts its suggestions to match your preferred language.

No. Interview Sidekick is most effective when combined with solid preparation. Think of it as a safety net that helps you perform your best when nerves kick in, not a replacement for understanding data structures and algorithms.

Our AI generates suggestions in under 2 seconds. You'll receive helpful hints while the interviewer is still explaining the problem, giving you time to formulate your approach.

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David

David

Software Engineer

Hired at Amazon

The real-time assistant was a game-changer during my technical interview. When I got stuck on a dynamic programming problem, it quietly suggested the right approach. I stayed calm, worked through it, and got the offer.

Sarah

Sarah

Product Manager

Hired at Google

The real-time feedback pointed out that my answers lacked metrics. Once I started adding specific numbers and outcomes, my practice scores jumped and so did my confidence.

Emily

Emily

Data Analyst

Hired at Meta

SQL and case study prep were my weak spots. After a week of daily practice sessions, I walked into my Meta interview feeling like I'd already done it before. Got the offer two days later!

David

David

Software Engineer

Hired at Amazon

The real-time assistant was a game-changer during my technical interview. When I got stuck on a dynamic programming problem, it quietly suggested the right approach. I stayed calm, worked through it, and got the offer.

Sarah

Sarah

Product Manager

Hired at Google

The real-time feedback pointed out that my answers lacked metrics. Once I started adding specific numbers and outcomes, my practice scores jumped and so did my confidence.

Emily

Emily

Data Analyst

Hired at Meta

SQL and case study prep were my weak spots. After a week of daily practice sessions, I walked into my Meta interview feeling like I'd already done it before. Got the offer two days later!

David

David

Software Engineer

Hired at Amazon

The real-time assistant was a game-changer during my technical interview. When I got stuck on a dynamic programming problem, it quietly suggested the right approach. I stayed calm, worked through it, and got the offer.

Sarah

Sarah

Product Manager

Hired at Google

The real-time feedback pointed out that my answers lacked metrics. Once I started adding specific numbers and outcomes, my practice scores jumped and so did my confidence.

Emily

Emily

Data Analyst

Hired at Meta

SQL and case study prep were my weak spots. After a week of daily practice sessions, I walked into my Meta interview feeling like I'd already done it before. Got the offer two days later!

Jessica

Jessica

UX Designer

Hired at Apple

Portfolio presentations always made me ramble. The AI helped me tighten my case study walkthrough from 20 minutes to 8 minutes of clear, impactful storytelling.

Marcus

Marcus

Account Executive

Hired at Salesforce

Practiced my pitch and objection handling until it felt natural. When they threw curveball scenarios at me in the final round, I handled them smoothly. Couldn't have done it without this prep.

Rachel

Rachel

Marketing Manager

Hired at Netflix

The culture fit questions were spot-on for Netflix. I practiced articulating my creative process and decision-making style, which came up word-for-word in my actual interview.

Jessica

Jessica

UX Designer

Hired at Apple

Portfolio presentations always made me ramble. The AI helped me tighten my case study walkthrough from 20 minutes to 8 minutes of clear, impactful storytelling.

Marcus

Marcus

Account Executive

Hired at Salesforce

Practiced my pitch and objection handling until it felt natural. When they threw curveball scenarios at me in the final round, I handled them smoothly. Couldn't have done it without this prep.

Rachel

Rachel

Marketing Manager

Hired at Netflix

The culture fit questions were spot-on for Netflix. I practiced articulating my creative process and decision-making style, which came up word-for-word in my actual interview.

Jessica

Jessica

UX Designer

Hired at Apple

Portfolio presentations always made me ramble. The AI helped me tighten my case study walkthrough from 20 minutes to 8 minutes of clear, impactful storytelling.

Marcus

Marcus

Account Executive

Hired at Salesforce

Practiced my pitch and objection handling until it felt natural. When they threw curveball scenarios at me in the final round, I handled them smoothly. Couldn't have done it without this prep.

Rachel

Rachel

Marketing Manager

Hired at Netflix

The culture fit questions were spot-on for Netflix. I practiced articulating my creative process and decision-making style, which came up word-for-word in my actual interview.

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