RRepoGEO

REPOGEO REPORT · LITE

miantiao-me/hacker-podcast

Default branch main · commit 83692008 · scanned 7/1/2026, 4:43:18 AM

GitHub: 2,557 stars · 239 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
33 /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
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 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 opening statement to emphasize 'automated system'

    Why:

    CURRENT
    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
    Agili 的 Hacker Podcast 是一个**全自动 AI 驱动的中文播客生成系统**。它每日抓取 Hacker News 热门文章，利用 AI 智能总结并**自动转换为完整的中文播客内容**，提供从内容生成到发布的全流程解决方案。
  • mediumtopics#2
    Add more specific topics related to podcast generation and full-stack AI

    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-generation, audio-synthesis, automated-content, full-stack-ai, serverless-ai
  • mediumcomparison#3
    Add a 'What makes this different?' section to the README

    Why:

    COPY-PASTE FIX
    ## 与其他工具的区别

Hacker Podcast 是一个端到端的播客生成系统，而非单一的 API 或内容抓取工具。它整合了 AI 总结、TTS 语音合成和自动化发布，提供完整的播客制作流程，与 Feedly、Google Cloud Text-to-Speech 等工具的定位不同。我们提供的是一个开箱即用的自动化播客解决方案，而非需要自行组装的组件。

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
Google Cloud Text-to-Speech
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Text-to-Speech · recommended 2×
  2. Feedly · recommended 1×
  3. NewsAPI.org · recommended 1×
  4. GNews API · recommended 1×
  5. crummy/BeautifulSoup · recommended 1×
  • CATEGORY QUERY
    How can I automatically generate daily audio summaries of tech news using AI?
    you: not recommended
    AI recommended (in order):
    1. Feedly
    2. NewsAPI.org
    3. GNews API
    4. Beautiful Soup (crummy/BeautifulSoup)
    5. requests (psf/requests)
    6. OpenAI GPT-3.5
    7. GPT-4
    8. Anthropic Claude
    9. Hugging Face Transformers (huggingface/transformers)
    10. ElevenLabs
    11. Google Cloud Text-to-Speech
    12. Amazon Polly
    13. Python
    14. GitHub Actions
    15. cron jobs
    16. Zapier
    17. Make
    18. newspaper3k (codelucas/newspaper)
    19. Amazon S3
    20. Google Cloud Storage
    21. Telegram

    AI recommended 21 alternatives but never named miantiao-me/hacker-podcast. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good serverless options for building an AI-powered content summarization and audio generation workflow?
    you: not recommended
    AI recommended (in order):
    1. AWS Lambda
    2. AWS Step Functions
    3. Hugging Face Transformers
    4. Eleven Labs
    5. Google Cloud Text-to-Speech
    6. AWS Polly
    7. S3
    8. Google Cloud Functions
    9. Google Cloud Workflows
    10. Azure Functions
    11. Azure Logic Apps
    12. Azure AI Speech
    13. Vercel Functions
    14. Netlify Functions
    15. Redis
    16. Modal Labs
    17. Knative
    18. Kubernetes

    AI recommended 18 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 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?

  • 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