# Kiiim (@cryptohouse0x) on x

- id: koinon:creator:x_cryptohouse0x
- url: https://koinonlink.com/kol/x/cryptohouse0x
- schema_version: 1.4

## Identity
- platform: x
- handle: cryptohouse0x
- platform_url: https://twitter.com/cryptohouse0x
- website: https://t.me/CryptoHouse365
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 17027
- following: 12403
- posts_total: 22602
- posts_observed: 1
- posts_per_day: 29.014
- account_age_days: 779
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00135
- best_post_interactions: 23
- measurement_source: x_post_interactions
- measurement_formula: interactions on one post — likes, or likes + reposts + replies depending on the discovery path (the two are not distinguishable in the stored data)
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: finance
- subcategory: crypto
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: Web3 projects built on substance, Quantum-classical hybrid testnets, Quantum-ready security for ETH/SOL/BTC, Node operator compute utilization
- bio: Crypto Enthusiast | Binance Alpha Program | Airdrop Hunter | Web3 | DeFi | Trading | Always Early

## Audience (inferred)
- status: present
- description: Crypto enthusiasts, Web3 investors, and airdrop hunters interested in quantum-blockchain intersections
- roles: none
- seniority: consumer
- pain_points: Distinguishing real substance from hype in Web3 projects, Understanding quantum computing applications in crypto security, Finding early testnet opportunities with tangible compute rewards, Preparing assets against future quantum threats to major chains
- posts_analysed: 4
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.8
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 63
- authenticity_basis: engagement_observed
- credibility_score: 63
- flagged_for_review: false
- koinon_bd_grade: A — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [x_cryptohouse0x#6b6ad812] The deeper I get into Web3, the more I value projects built on substance, not hype. (https://twitter.com/cryptohouse0x/status/2072996420320403663)
- [x_cryptohouse0x#2df23424] @quipnetwork stands out for exactly that reason.
- [x_cryptohouse0x#f05023a0] Their public testnet already supports optimization workloads across both classical and quantum hardware letting node operators put their compute to work and earn rewards in the process.
- [x_cryptohouse0x#e867927b] Even more impressive: quantum-ready security for Ethereum, Solana, and Bitcoin

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=79, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=79, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=111, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.5, freshness_days=79, method=Profile-shape heuristic from a single snapshot (follower count, following ratio, account age, posting volume, verification), reduced for engagement red flags where post engagement was collected. Where only a follower count is available the score saturates at 58. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=111, method=llm_partner_fit_classifier + fit_score >= 0.6 AND authenticity >= 60 => A; fit_score >= 0.4 AND authenticity >= 45 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=111, method=platform_profile

## Freshness
- profile_checked_days_ago: 111
- content_analysed_days_ago: 79
- audience_updated_days_ago: 67

## AI retrieval
- indexing_requests: 10
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=x_cryptohouse0x
- Request removal: https://koinonlink.com/claim?k=x_cryptohouse0x
- Terms: https://koinonlink.com/for-ai