RRepoGEO

REPOGEO REPORT · LITE

e2b-dev/fragments

Default branch main · commit b5e627dc · scanned 5/23/2026, 8:32:52 AM

GitHub: 6,296 stars · 866 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
40 /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
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 e2b-dev/fragments, 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 clearly state its purpose as a web application template

    Why:

    CURRENT
    # Fragments by E2B

This is an open-source version of apps like Anthropic's Claude Artifacts, Vercel v0, or GPT Engineer.
    COPY-PASTE FIX
    # Fragments by E2B: An Open-Source Next.js Template for AI-Powered Web Applications

Fragments is an open-source Next.js template designed for building AI-powered web applications that generate and securely execute code. It's an open-source version of apps like Anthropic's Claude Artifacts, Vercel v0, or GPT Engineer.
  • mediumtopics#2
    Add more specific topics related to web application templates and interactive coding environments

    Why:

    CURRENT
    ai, ai-code-generation, anthropic, claude, claude-ai, code-interpreter, e2b, javascript, llm, nextjs, react, sandbox, typescript
    COPY-PASTE FIX
    ai, ai-code-generation, anthropic, claude, claude-ai, code-interpreter, e2b, javascript, llm, nextjs, react, sandbox, typescript, web-application, ai-template, interactive-coding, code-execution
  • mediumreadme#3
    Add a dedicated 'Comparison' or 'Why Fragments?' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section, e.g., '## Why Fragments? (Compared to X, Y, Z)' or '## What makes Fragments unique?'. This section should explicitly compare Fragments to the types of tools AI is recommending (IDEs, container runtimes, raw LLM models) and highlight its unique value as a *template for building AI-powered web apps*.

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 e2b-dev/fragments
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
moby/moby
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. moby/moby · recommended 2×
  2. google/gvisor · recommended 2×
  3. OpenAI Codex · recommended 1×
  4. GPT-3 · recommended 1×
  5. GPT-4 · recommended 1×
  • CATEGORY QUERY
    How to build a web application that generates and securely executes code using an AI model?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Codex
    2. GPT-3
    3. GPT-4
    4. Hugging Face Transformers (huggingface/transformers)
    5. CodeGen
    6. InCoder
    7. PolyCoder
    8. PaLM 2
    9. Gemini
    10. Django (django/django)
    11. Flask (pallets/flask)
    12. Node.js (nodejs/node)
    13. Express.js (expressjs/express)
    14. React (facebook/react)
    15. Vue.js (vuejs/core)
    16. Angular (angular/angular)
    17. Docker (moby/moby)
    18. Firecracker (firecracker-microvm/firecracker)
    19. gVisor (google/gvisor)
    20. Jailer
    21. Sandbox
    22. PostgreSQL
    23. MongoDB (mongodb/mongo)
    24. AWS
    25. Google Cloud Platform
    26. Microsoft Azure

    AI recommended 26 alternatives but never named e2b-dev/fragments. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an open-source template for creating AI-driven interactive coding environments with secure execution.
    you: not recommended
    AI recommended (in order):
    1. Theia IDE (eclipse-theia/theia)
    2. JupyterHub (jupyterhub/jupyterhub)
    3. JupyterLab (jupyterlab/jupyterlab)
    4. Code-OSS (microsoft/vscode)
    5. Codiad (Codiad/Codiad)
    6. Cloud9
    7. Docker (moby/moby)
    8. Podman (containers/podman)
    9. Kubernetes (kubernetes/kubernetes)
    10. Firejail (netblue30/firejail)
    11. gVisor (google/gvisor)
    12. Kata Containers (kata-containers/kata-containers)
    13. execjs (sstephenson/execjs)
    14. RestrictedPython (zopefoundation/RestrictedPython)

    AI recommended 14 alternatives but never named e2b-dev/fragments. 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 e2b-dev/fragments?
    pass
    AI named e2b-dev/fragments explicitly

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

  • If a team adopts e2b-dev/fragments in production, what risks or prerequisites should they evaluate first?
    pass
    AI named e2b-dev/fragments 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 e2b-dev/fragments solve, and who is the primary audience?
    pass
    AI named e2b-dev/fragments explicitly

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

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e2b-dev/fragments — 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