REPOGEO REPORT · LITE

ombharatiya/FAANG-Coding-Interview-Questions

Default branch main · commit 58b2c0da · scanned 5/9/2026, 9:17:25 AM

GitHub: 4,854 stars · 1,249 forks

AI VISIBILITY SCORE

22 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 1 warn · 0 fail

Objective metadata checks

AI knows your name

1 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface ombharatiya/FAANG-Coding-Interview-Questions, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

highreadme#1

Reposition README opening to clarify format and scope

Why:

CURRENT

A curated collection of coding, system design, and ML interview questions from top tech companies.

COPY-PASTE FIX

This GitHub repository provides a curated, community-driven collection of coding, system design, and ML interview questions from top tech companies, designed as a comprehensive study guide.

mediumtopics#2

Expand topics to include System Design and ML Interview

Why:

CURRENT

algorithms, algorithms-and-data-structures, codechef, coding, coding-interviews, cpp, data-structures, faang-interview, faang-preparation, faang-questions, hacktoberfest, interview, interview-questions, interviewbit, java, leetcode, python

COPY-PASTE FIX

algorithms, algorithms-and-data-structures, codechef, coding, coding-interviews, cpp, data-structures, faang-interview, faang-preparation, faang-questions, hacktoberfest, interview, interview-questions, interviewbit, java, leetcode, python, system-design-interview, machine-learning-interview, ml-interview-prep

lowhomepage#3
Add a homepage URL
Why:
COPY-PASTE FIX
```
https://github.com/ombharatiya/FAANG-Coding-Interview-Questions
```

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall

0 / 2

0% of queries surface ombharatiya/FAANG-Coding-Interview-Questions

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

LeetCode

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

LeetCode · recommended 2×
AlgoExpert · recommended 2×
HackerRank · recommended 2×
InterviewBit · recommended 1×
GeeksforGeeks · recommended 1×

CATEGORY QUERY
Where can I find a curated list of coding interview questions for top tech companies?
you: not recommended
AI recommended (in order):
1. LeetCode
2. AlgoExpert
3. HackerRank
4. InterviewBit
5. GeeksforGeeks
6. Cracking the Coding Interview
AI recommended 6 alternatives but never named ombharatiya/FAANG-Coding-Interview-Questions. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are good resources for practicing algorithms and data structures for software engineering interviews?
you: not recommended
AI recommended (in order):
1. LeetCode
2. AlgoExpert
3. HackerRank
4. Educative.io (Grokking the Coding Interview)
5. NeetCode
6. Cracking the Coding Interview by Gayle Laakmann McDowell
7. TopCoder
AI recommended 7 alternatives but never named ombharatiya/FAANG-Coding-Interview-Questions. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
warn
Suggestion:
README presence
pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

Compared to common alternatives in this category, what is the core differentiator of ombharatiya/FAANG-Coding-Interview-Questions?
pass
AI did not name ombharatiya/FAANG-Coding-Interview-Questions — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts ombharatiya/FAANG-Coding-Interview-Questions in production, what risks or prerequisites should they evaluate first?
pass
AI named ombharatiya/FAANG-Coding-Interview-Questions explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
In one sentence, what problem does the repo ombharatiya/FAANG-Coding-Interview-Questions solve, and who is the primary audience?
pass
AI did not name ombharatiya/FAANG-Coding-Interview-Questions — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of ombharatiya/FAANG-Coding-Interview-Questions. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)

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ombharatiya/FAANG-Coding-Interview-Questions — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite