RRepoGEO

REPOGEO REPORT · LITE

nishant-Tiwari24/skills-for-hackathon

Default branch main · commit cee147be · scanned 6/5/2026, 7:23:22 AM

GitHub: 679 stars · 84 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
2 / 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 nishant-Tiwari24/skills-for-hackathon, 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

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

OVERALL DIRECTION
  • highreadme#1
    Reposition README opening to emphasize hackathon guide purpose

    Why:

    CURRENT
    Here are some resources and roadmaps to help you learn React, Python, Generative AI (Gen AI), Retrieval-Augmented Generation (RAG), and Augmented Reality (AR):
    COPY-PASTE FIX
    This repository is your comprehensive guide to hackathons, offering valuable insights and resources for both beginners and experienced participants. It covers essentials like finding events, selecting the right one, and detailed preparation strategies, including roadmaps for key technologies. Here are some of the learning resources and roadmaps included:

### 1. **ReactRoadmap**:
  • mediumlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Choose and add a standard open-source license file (e.g., MIT, Apache-2.0) to the repository root.

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 nishant-Tiwari24/skills-for-hackathon
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Udemy
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Udemy · recommended 2×
  2. Coursera · recommended 2×
  3. Major League Hacking (MLH) · recommended 1×
  4. Devpost · recommended 1×
  5. freeCodeCamp · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive guide for preparing for hackathons and learning essential skills?
    you: not recommended
    AI recommended (in order):
    1. Major League Hacking (MLH)
    2. Devpost
    3. freeCodeCamp
    4. HackerRank
    5. LeetCode
    6. GitHub Learning Lab
    7. Udemy
    8. Coursera
    9. TechCrunch Disrupt

    AI recommended 9 alternatives but never named nishant-Tiwari24/skills-for-hackathon. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best learning roadmaps for modern technologies like Gen AI, RAG, and AR for projects?
    you: not recommended
    AI recommended (in order):
    1. DeepLearning.AI
    2. Coursera
    3. Google Cloud Skills Boost
    4. Qwiklabs
    5. Udemy
    6. edX
    7. Unity
    8. AR Foundation
    9. Unity Learn
    10. ARKit
    11. ARCore
    12. Hugging Face
    13. Transformers
    14. Datasets
    15. Hugging Face Spaces
    16. Microsoft Learn
    17. Azure
    18. Azure OpenAI Service
    19. Fast.ai

    AI recommended 19 alternatives but never named nishant-Tiwari24/skills-for-hackathon. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 nishant-Tiwari24/skills-for-hackathon?
    pass
    AI did not name nishant-Tiwari24/skills-for-hackathon — 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 nishant-Tiwari24/skills-for-hackathon in production, what risks or prerequisites should they evaluate first?
    pass
    AI named nishant-Tiwari24/skills-for-hackathon 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 nishant-Tiwari24/skills-for-hackathon solve, and who is the primary audience?
    pass
    AI named nishant-Tiwari24/skills-for-hackathon explicitly

    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 nishant-Tiwari24/skills-for-hackathon. 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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nishant-Tiwari24/skills-for-hackathon — 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