RRepoGEO

REPOGEO REPORT · LITE

deeplethe/forkd

Default branch main · commit 2f1255c0 · scanned 6/1/2026, 2:12:28 PM

GitHub: 1,146 stars · 83 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 deeplethe/forkd, 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 to explicitly clarify the project's domain

    Why:

    CURRENT
    The current README's first prose paragraph starts with "A microVM sandbox runtime for **AI agent fan-out**."
    COPY-PASTE FIX
    Modify the first prose paragraph of the README to start with: "deeplethe/forkd is a high-performance `fork(2)`-like runtime for KVM microVMs, designed for AI agent fan-out. It is *not* a tool for managing GitHub repository forks. Children fork from a warmed parent snapshot..."
  • highhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/deeplethe/forkd
  • mediumtopics#3
    Add a topic to highlight the specific AI agent use case

    Why:

    CURRENT
    ai-agents, copy-on-write, kvm, microvm, rust, sandbox, snapshot
    COPY-PASTE FIX
    ai-agents, copy-on-write, kvm, microvm, rust, sandbox, snapshot, ai-agent-fanout

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 deeplethe/forkd
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Kata Containers
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Kata Containers · recommended 2×
  2. QEMU/KVM · recommended 2×
  3. Firecracker · recommended 1×
  4. Cloud Hypervisor · recommended 1×
  5. Alpine Linux · recommended 1×
  • CATEGORY QUERY
    How to rapidly provision isolated microVMs for concurrent AI agent execution?
    you: not recommended
    AI recommended (in order):
    1. Firecracker
    2. Kata Containers
    3. Cloud Hypervisor
    4. QEMU/KVM
    5. Alpine Linux
    6. Buildroot
    7. CrosVM

    AI recommended 7 alternatives but never named deeplethe/forkd. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a solution for fast VM cloning with copy-on-write memory for AI inference.
    you: not recommended
    AI recommended (in order):
    1. NVIDIA MIG
    2. VMware vSphere with Instant Clone
    3. KubeVirt
    4. OpenStack
    5. QEMU/KVM
    6. Kata Containers

    AI recommended 6 alternatives but never named deeplethe/forkd. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    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 deeplethe/forkd?
    pass
    AI named deeplethe/forkd explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of deeplethe/forkd. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/deeplethe/forkd.svg)](https://repogeo.com/en/r/deeplethe/forkd)
HTML
<a href="https://repogeo.com/en/r/deeplethe/forkd"><img src="https://repogeo.com/badge/deeplethe/forkd.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

deeplethe/forkd — 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