RRepoGEO

REPOGEO REPORT · LITE

easychen/openai-gpt-dev-notes-for-cn-developer

Default branch master · commit 4d97b2d1 · scanned 6/30/2026, 7:13:58 PM

GitHub: 1,541 stars · 104 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)

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

AI VISIBILITY SCORE
10 /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
0 / 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 easychen/openai-gpt-dev-notes-for-cn-developer, 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
  • highlicense#1
    Add a license file to the repository

    Why:

    COPY-PASTE FIX
    Add a standard open-source license file (e.g., MIT or Apache-2.0) to the repository root.
  • highreadme#2
    Reposition the README's opening paragraphs

    Why:

    CURRENT
    在写了一堆应用以后，我们打算众筹一个GPT课程。之前我以为现在GPT应用已经是红海了，但实际测试下来发现，GPT应用其实可以是非标准品。独有的提示词、独有的知识库、独有的工作流都可以做出独一无二的GPT体验。

在课程中我们将讲解如何设计、搭建和开发一个与众不同的商业GPT应用。<https://subdeer.cn/product/3>

# 如何快速开发一个OpenAI/GPT应用

> 一个国内开发者的OpenAI/GPT的笔记
    COPY-PASTE FIX
    # 如何快速开发一个OpenAI/GPT应用

> 一个国内开发者的OpenAI/GPT的笔记

最近都在问，于是写个文档。本文希望用尽可能少的内容，讲清楚开发一个OpenAI/GPT应用必然用到的知识，内容主要聚焦在免费应用开发，商业化方案可以看看这篇文章：《十分钟，给你开发的免费GPT应用加上收费功能》

欢迎PR补充。

---

**关于我们的GPT课程：**
在写了一堆应用以后，我们打算众筹一个GPT课程。之前我以为现在GPT应用已经是红海了，但实际测试下来发现，GPT应用其实可以是非标准品。独有的提示词、独有的知识库、独有的工作流都可以做出独一无二的GPT体验。

在课程中我们将讲解如何设计、搭建和开发一个与众不同的商业GPT应用。<https://subdeer.cn/product/3>

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 easychen/openai-gpt-dev-notes-for-cn-developer
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 2×
  2. Azure OpenAI Service · recommended 2×
  3. Google Cloud Vertex AI · recommended 2×
  4. Hugging Face · recommended 1×
  5. transformers library · recommended 1×
  • CATEGORY QUERY
    How to quickly develop large language model applications overcoming regional access restrictions?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Azure OpenAI Service
    3. Hugging Face
    4. transformers library
    5. Google Cloud Vertex AI
    6. Gemini API
    7. AWS Bedrock
    8. Replicate
    9. LocalAI
    10. Ollama

    AI recommended 10 alternatives but never named easychen/openai-gpt-dev-notes-for-cn-developer. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the essential steps and common pitfalls for building custom GPT applications?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Azure OpenAI Service
    3. Hugging Face Transformers
    4. Llama 2
    5. Mistral
    6. Google Cloud Vertex AI
    7. PaLM 2
    8. Gemini
    9. Anthropic Claude API
    10. OpenAI's Function Calling
    11. LangChain
    12. React
    13. Vue
    14. Next.js
    15. Flask
    16. Django
    17. Botpress
    18. Rasa
    19. Microsoft Bot Framework
    20. React Native
    21. Flutter
    22. AWS
    23. Google Cloud
    24. Azure
    25. Docker
    26. Kubernetes
    27. AWS Lambda
    28. Azure Functions
    29. Google Cloud Functions
    30. Datadog
    31. Prometheus
    32. OpenAI Fine-tuning API

    AI recommended 32 alternatives but never named easychen/openai-gpt-dev-notes-for-cn-developer. 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 easychen/openai-gpt-dev-notes-for-cn-developer?
    pass
    AI did not name easychen/openai-gpt-dev-notes-for-cn-developer — 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 easychen/openai-gpt-dev-notes-for-cn-developer in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name easychen/openai-gpt-dev-notes-for-cn-developer — 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?

  • In one sentence, what problem does the repo easychen/openai-gpt-dev-notes-for-cn-developer solve, and who is the primary audience?
    pass
    AI did not name easychen/openai-gpt-dev-notes-for-cn-developer — 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

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