0xTria (@0xTria) on X (Twitter)

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0xTria is a creator on X (Twitter) in the 4K–5K follower range, publishing for Data analysts, AI researchers and practitioners tracking real-world AI applications in e-commerce product testing and sports analytics. Profile last checked 2026-07-06.

Observed facts (from the public profile):

Profile bio

Researcher / Data Analyst founder @predictsguru

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

Recurring topics: AI product rendering and pre-launch testing, Computer vision for sports performance analysis, Chinese developers monetizing AI tools, Data-driven edge creation in niche markets

Audience: Data analysts, AI researchers and practitioners tracking real-world AI applications in e-commerce product testing and sports analytics

Provenance: inferred by AI from public content, not stated by the creator — confidence 0.40 · read from 2 recent posts · updated 76 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)

🚨CHINESE SELLERS ARE NOW TESTING PRODUCTS BEFORE THEY EVEN EXIST one ugly handbag sketch 5 seconds later: luxury product render before this, testing a bag meant: > designer > factory sample > product photoshoot > ad…

🚨 A Chinese dev just turned match footage into a $10k/month sports edge playbook. One badminton video in. Skeleton on the player. Smash. Forehand. Backhand. Serve — tagged live. 100% local. Zero APIs. Zero sensors. →…

See the original post on X (Twitter)

Where this creator sits among comparable accounts

Compared with the 592 accounts in the same group (x · nano · ecommerce):

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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/0xTria.json
• /kol/x/0xTria.md

AI retrieval activity

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