RRepoGEO

REPOGEO REPORT · LITE

LetheSec/HuggingFace-Download-Accelerator

Default branch main · commit 20ff3ce1 · scanned 5/20/2026, 5:18:29 PM

GitHub: 1,336 stars · 118 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
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 LetheSec/HuggingFace-Download-Accelerator, 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 intro to clarify download method and disclaim `aria2c`

    Why:

    CURRENT
    利用 HuggingFace 官方的下载工具 huggingface-cli 和 hf_transfer 从 HuggingFace 镜像站上对模型和数据集进行高速下载。
    COPY-PASTE FIX
    This script provides a wrapper for HuggingFace's *official* `huggingface-cli` and `hf_transfer` tools, enabling accelerated downloads of models and datasets from *mirror sites* specifically for users in China. It does *not* use `aria2c` or other generic download managers.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).

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 LetheSec/HuggingFace-Download-Accelerator
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Alibaba Cloud
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Alibaba Cloud · recommended 1×
  2. Tencent Cloud · recommended 1×
  3. Alibaba Cloud's OSS · recommended 1×
  4. Tencent Cloud's COS · recommended 1×
  5. huggingface/huggingface_hub · recommended 1×
  • CATEGORY QUERY
    Experiencing slow HuggingFace model downloads; need a tool for faster access, especially internationally.
    you: not recommended
    AI recommended (in order):
    1. Alibaba Cloud
    2. Tencent Cloud
    3. Alibaba Cloud's OSS
    4. Tencent Cloud's COS
    5. huggingface_hub (huggingface/huggingface_hub)
    6. git-lfs (git-lfs/git-lfs)
    7. GitLab
    8. Gitea (go-gitea/gitea)
    9. AWS S3
    10. Google Cloud Storage
    11. Azure Blob Storage
    12. aws-cli (aws/aws-cli)
    13. gsutil (GoogleCloudPlatform/gsutil)
    14. Azure CLI (Azure/azure-cli)
    15. aria2c (aria2/aria2)
    16. wget
    17. Cloudflare CDN
    18. Akamai
    19. Fastly

    AI recommended 19 alternatives but never named LetheSec/HuggingFace-Download-Accelerator. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a utility to speed up HuggingFace model and dataset downloads using optimized methods.
    you: not recommended
    AI recommended (in order):
    1. HuggingFace Hub Client
    2. aria2c
    3. Axel
    4. Wget
    5. requests
    6. concurrent.futures

    AI recommended 6 alternatives but never named LetheSec/HuggingFace-Download-Accelerator. 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 LetheSec/HuggingFace-Download-Accelerator?
    pass
    AI did not name LetheSec/HuggingFace-Download-Accelerator — 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 LetheSec/HuggingFace-Download-Accelerator in production, what risks or prerequisites should they evaluate first?
    pass
    AI named LetheSec/HuggingFace-Download-Accelerator 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 LetheSec/HuggingFace-Download-Accelerator solve, and who is the primary audience?
    pass
    AI named LetheSec/HuggingFace-Download-Accelerator explicitly

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

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LetheSec/HuggingFace-Download-Accelerator — 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