# Ivan Kirigin (@ikirigin) on x

- id: koinon:creator:x_ikirigin
- url: https://koinonlink.com/kol/x/ikirigin
- schema_version: 1.4

## Identity
- platform: x
- handle: ikirigin
- platform_url: https://twitter.com/ikirigin
- website: https://www.tango.vc/
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 8820
- following: 1056
- posts_total: 43253
- posts_observed: 15
- posts_per_day: 6.055
- account_age_days: 7143
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00034
- best_post_interactions: 3
- 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: software
- subcategory: ai_tools
- category_confidence: 0.3
- category_source: derived_from_discovery_path
- topics: AI/robotics, machine learning history, personal life
- bio: Investing in AI, ML, automation, and robotics at https://t.co/6Dn4dylKF3. 

No tech: @tekno_Ivan

## Audience (inferred)
- status: present
- description: Content is sparse and mixes personal life with scattered tech topics, making it hard to accurately identify the audience
- roles: none
- seniority: practitioner
- posts_analysed: 8
- 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: 65
- authenticity_basis: engagement_observed
- credibility_score: 80
- 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_ikirigin#55ceae90] Lowkey great format for wheeled legged humanoids https://t.co/LcykoJ6b0B (https://twitter.com/ikirigin/status/2026396718422745499)
- [x_ikirigin#f6ea15e7] So my in laws have a business selling rare books. They have a warehouse with 1M of them. Is this something worth pursuing with LLM providers?
- [x_ikirigin#17df2a85] A visual comparison of the age of this thread https://t.co/wwOQNevFbB
- [x_ikirigin#11977f11] I was telling my kid about this legendary HN exchange. It was 19 years ago! https://t.co/UXZ1SACPCF
- [x_ikirigin#b12329d9] It’s pretty wild to consider the period in machine learning when predicting what people want to watch on Netflix was a popular challenge. Two strong reflections: 1. This was the frontier?! 2. Who gives a shit
- [x_ikirigin#014941af] My wife is a ridiculously good designer. She just painted and redid this nook. https://t.co/DUFp1G0X0n
- [x_ikirigin#0d9273ac] I'm in this photo from 16 years ago. Good times. Have fun today at Chase Stadium! https://t.co/xyZInxOjDE
- [x_ikirigin#a1892ab1] If this were Trump, people would point out how crazy it is for the host city of 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=85, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=85, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=85, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=85, 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=85, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=117, 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=85, 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=117, 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=117, method=platform_profile

## Freshness
- profile_checked_days_ago: 117
- content_analysed_days_ago: 85
- audience_updated_days_ago: 85

## AI retrieval
- indexing_requests: 7
- 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_ikirigin
- Request removal: https://koinonlink.com/claim?k=x_ikirigin
- Terms: https://koinonlink.com/for-ai