RRepoGEO

REPOGEO REPORT · LITE

sahibzada-allahyar/YC-Killer

Default branch main · commit b1baf9cd · scanned 6/26/2026, 10:37:59 PM

GitHub: 2,778 stars · 125 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
35 /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
3 / 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 sahibzada-allahyar/YC-Killer, 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 core function

    Why:

    CURRENT
    The current README starts with '# 🌟 Star the Repo To Apply for the Job Posting' and then '🌟 Join Our Mission: We're systematically open-sourcing enterprise-grade AI agents to kill every YC company, one by one.'
    COPY-PASTE FIX
    # YC-Killer: Open-Source Enterprise-Grade AI Agents

A library of enterprise-grade AI agents designed to democratize artificial intelligence and provide free, open-source alternatives to overvalued Y Combinator startups. Our mission is to make advanced AI technology accessible to everyone, not just well-funded companies.

> 🌟 **Join Our Mission**: We're systematically open-sourcing enterprise-grade AI agents to kill every YC company, one by one. If you have a stellar academic background and are excited about democratizing AI access, please star this repository and apply to join our team.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • mediumtopics#3
    Refine repository topics to focus on AI agents

    Why:

    CURRENT
    agora, astrophysics, bayesian-inference, cosmology, fastapi, lean, lean4, mcp, openxr, photon, physics, proof-assistant, quantum, ready-player-me, reinforcement-learning, reproducibility, unity, vr-office, wolfram-alpha, xri
    COPY-PASTE FIX
    ai-agents, open-source-ai, enterprise-ai, ai-framework, democratizing-ai, machine-learning, artificial-intelligence, langchain-alternative, llamaindex-alternative, autogen-alternative, crewai-alternative, python, fastapi, reinforcement-learning

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 sahibzada-allahyar/YC-Killer
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. Haystack · recommended 1×
  4. AutoGen · recommended 1×
  5. CrewAI · recommended 1×
  • CATEGORY QUERY
    Looking for open-source, enterprise-grade AI agent frameworks to build production-ready solutions.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGen
    5. CrewAI
    6. Open Interpreter

    AI recommended 6 alternatives but never named sahibzada-allahyar/YC-Killer. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking free, open-source AI tools to democratize advanced artificial intelligence access.
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers (huggingface/transformers)
    2. TensorFlow (tensorflow/tensorflow)
    3. PyTorch (pytorch/pytorch)
    4. Keras (keras-team/keras)
    5. scikit-learn (scikit-learn/scikit-learn)
    6. OpenCV (opencv/opencv)
    7. Gradio (gradio-app/gradio)

    AI recommended 7 alternatives but never named sahibzada-allahyar/YC-Killer. 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 sahibzada-allahyar/YC-Killer?
    pass
    AI named sahibzada-allahyar/YC-Killer explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts sahibzada-allahyar/YC-Killer in production, what risks or prerequisites should they evaluate first?
    pass
    AI named sahibzada-allahyar/YC-Killer 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 sahibzada-allahyar/YC-Killer solve, and who is the primary audience?
    pass
    AI named sahibzada-allahyar/YC-Killer explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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sahibzada-allahyar/YC-Killer — 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