RRepoGEO

REPOGEO REPORT · LITE

miantiao-me/hacker-podcast

Default branch main · commit a596031a · scanned 5/19/2026, 7:07:49 PM

GitHub: 2,530 stars · 232 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
27 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 miantiao-me/hacker-podcast, 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 the README's H1 and opening paragraph to emphasize automated podcast generation

    Why:

    CURRENT
    # Agili 的 Hacker Podcast

一个基于 AI 的 Hacker News 中文播客项目，每天自动抓取 Hacker News 热门文章，通过 AI 生成中文总结并转换为播客内容。
    COPY-PASTE FIX
    # Hacker Podcast: AI 驱动的 Hacker News 自动化播客生成器

Hacker Podcast 是一个开源项目，它每天自动抓取 Hacker News 热门文章，利用 AI 生成中文总结，并将其转换为可订阅的播客内容，为技术爱好者提供便捷的中文新闻播报。
  • mediumtopics#2
    Add more descriptive, solution-oriented topics

    Why:

    CURRENT
    ai, ai-agent, ai-workflow, cloudflare, cloudflare-workers, cloudflare-workflows, hacker-news, nextjs
    COPY-PASTE FIX
    ai, ai-agent, ai-workflow, cloudflare, cloudflare-workers, cloudflare-workflows, hacker-news, nextjs, podcast-automation, ai-summarization, content-generation, news-to-podcast, edge-computing-workflow
  • lowreadme#3
    Add a 'Why Hacker Podcast?' or 'Core Differentiators' section to the README

    Why:

    COPY-PASTE FIX
    ## 为什么选择 Hacker Podcast？

与手动制作播客或简单的内容聚合器不同，Hacker Podcast 提供了一个完整的自动化工作流：从每日抓取 Hacker News 热门文章，到利用 AI 进行中文总结，再到通过 TTS 生成播客音频，并部署在 Cloudflare Workers 边缘平台。它专注于为中文技术社区提供高质量、自动更新的 Hacker News 播报。

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 miantiao-me/hacker-podcast
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Feedly
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Feedly · recommended 1×
  2. NewsAPI.org · recommended 1×
  3. beautifulsoup4/beautifulsoup4 · recommended 1×
  4. scrapy/scrapy · recommended 1×
  5. OpenAI GPT-3.5 · recommended 1×
  • CATEGORY QUERY
    How to create an automated daily podcast from news articles using AI summarization?
    you: not recommended
    AI recommended (in order):
    1. Feedly
    2. NewsAPI.org
    3. Beautiful Soup (beautifulsoup4/beautifulsoup4)
    4. Scrapy (scrapy/scrapy)
    5. OpenAI GPT-3.5
    6. GPT-4
    7. Anthropic Claude
    8. Hugging Face Transformers (huggingface/transformers)
    9. BART
    10. T5
    11. ElevenLabs
    12. Google Cloud Text-to-Speech
    13. Amazon Polly
    14. Anchor
    15. Libsyn
    16. Buzzsprout
    17. Zapier
    18. Make
    19. pydub (jiaaro/pydub)
    20. FFmpeg (FFmpeg/FFmpeg)

    AI recommended 20 alternatives but never named miantiao-me/hacker-podcast. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking examples of AI-powered content automation workflows deployed on edge platforms.
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Jetson
    2. YOLO
    3. TensorFlow Lite (tensorflow/tensorflow)
    4. PyTorch Mobile (pytorch/pytorch)
    5. Intel Movidius Myriad X
    6. OpenVINO (openvinotoolkit/openvino)
    7. Google Coral Edge TPU
    8. AWS IoT Greengrass
    9. Azure IoT Edge (Azure/iotedge)
    10. ONNX Runtime (microsoft/onnxruntime)
    11. TensorRT (NVIDIA/TensorRT)
    12. Qualcomm Snapdragon
    13. Raspberry Pi
    14. OpenCV (opencv/opencv)
    15. DeepFace (serengil/deepface)

    AI recommended 15 alternatives but never named miantiao-me/hacker-podcast. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 miantiao-me/hacker-podcast?
    pass
    AI did not name miantiao-me/hacker-podcast — 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 miantiao-me/hacker-podcast in production, what risks or prerequisites should they evaluate first?
    pass
    AI named miantiao-me/hacker-podcast 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 miantiao-me/hacker-podcast solve, and who is the primary audience?
    pass
    AI did not name miantiao-me/hacker-podcast — 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?

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miantiao-me/hacker-podcast — 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