Shai Goldman (@shaig) on X (Twitter)

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Shai Goldman is a creator on X (Twitter) in the 40K–50K follower range, publishing for VC analysts, startup founders, and investors who use AI tools to research and rank venture capital firms with PitchBook data, based in United States. Profile last checked 2026-07-07.

Observed facts (from the public profile):

What this creator posts about, and who reads it (AI-inferred)

Recurring topics: Claude AI prompts with data connectors, PitchBook-sourced VC research, Venture capital firm qualification and ranking

Audience: VC analysts, startup founders, and investors who use AI tools to research and rank venture capital firms with PitchBook data

Provenance: inferred by AI from public content, not stated by the creator — confidence 0.40 · read from 3 recent posts · updated 60 days ago.

Audience read from this creator’s own recent posts, not from platform-declared categories. It is our reading, and it can be wrong.

Recent content samples (what the inference above was drawn from)

here is the exact prompt that I used in Claude Cowork and leveraging the Pitchbook connector: "Build me a Word report (with a PDF copy) ranking the best venture capital firms in the world, using PitchBook as the…

See the original post on X (Twitter)

Where this creator sits among comparable accounts

Compared with the 1,257 accounts in the same group (x · koc · software):

This is a position, not a verdict. A percentile says where this account falls among comparable accounts on signals we can measure — it does not say this creator is a better fit for your campaign. We ran a blind benchmark and measured no reliable advantage in selection quality, and do not claim one.

Koinon Link indexes X (Twitter) creators in Software with grade, authenticity and contactability broken down — see the X (Twitter) × Software breakdown, or the Creator Index Report for the whole index.

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Creators next to this one by follower tier in the same slice. Each link opens that creator’s public profile — what they post about and who reads it, with no contact details.

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Machine-readable representations

Structured twins of this page for AI and agents — every inferred field carries its source, confidence and freshness.

• /kol/x/shaig.json
• /kol/x/shaig.md

AI retrieval activity

What AI systems have actually done with this page. The two kinds are counted separately: being indexed is not the same as being used.