# Ishan Haque (@ishanhaq) on x

- id: koinon:creator:x_ishanhaq
- url: https://koinonlink.com/kol/x/ishanhaq
- schema_version: 1.4

## Identity
- platform: x
- handle: ishanhaq
- platform_url: https://twitter.com/ishanhaq
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 7299
- following: 615
- posts_total: 1733
- posts_observed: 5
- posts_per_day: 0.38
- account_age_days: 4558
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00521
- best_post_interactions: 38
- 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: 0.8
- category_source: derived_from_recent_content
- topics: VC hypocrisy in gambling, Wealth and success mindsets, Crypto/gambling business, AI in media
- bio: CEO @betorigami and $SHFL maxi | prev @shufflecom

## Audience (inferred)
- status: present
- description: Crypto/gambling industry entrepreneurs and investors focused on VC dynamics and controversial business topics
- roles: none
- seniority: decision_maker
- pain_points: VC bias against gambling despite their own involvement, Navigating funding in stigmatized industries, Distinguishing real insights from average high-net-worth individuals
- posts_analysed: 6
- confidence: 0.4

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

## Quality signals
- authenticity_score: 83
- authenticity_basis: engagement_observed
- credibility_score: 83
- 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_ishanhaq#25df8fbd] I've met countless people worth 8/9 figs. Most of them are the same as you and me: average... https://t.co/edRnMPkIFC (https://twitter.com/ishanhaq/status/2029406910798234106)
- [x_ishanhaq#5a259cad] VCs on gambling companies: “Team will burn in hell. Disgusting, sinful, would never touch it.” VCs on their gambling companies: “The remarkable team is executing exceptionally well with a simple mission to democratize access to financial instruments by abstracting away complexity
- [x_ishanhaq#e4e3f198] Fun times! https://t.co/DiT1I9Ba9q
- [x_ishanhaq#6e61f1f0] https://t.co/qhbgtSsLXS
- [x_ishanhaq#68b64cca] If you watch this and don't understand what he's saying, I'm afraid you're going to be stuck in the permanent underclass https://t.co/AB2ByH3VlT
- [x_ishanhaq#5ef87d24] Studios want to make movies that make money. I don't think anyone, including those who side with AI, wants to watch slop. So if a movie is objectively less appealing because AI was used, studios won't use it. You get to vote with your eyeballs and wallet. But my bet is you won't 

## 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=78, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=78, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=78, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=78, 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=78, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=110, 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=78, 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=110, 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=110, method=platform_profile

## Freshness
- profile_checked_days_ago: 110
- content_analysed_days_ago: 78
- audience_updated_days_ago: 78

## AI retrieval
- indexing_requests: 9
- 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_ishanhaq
- Request removal: https://koinonlink.com/claim?k=x_ishanhaq
- Terms: https://koinonlink.com/for-ai