# Ksenia Moskalenko (@kseniam0s) on x

- id: koinon:creator:x_kseniam0s
- url: https://koinonlink.com/kol/x/kseniam0s
- schema_version: 1.4

## Identity
- platform: x
- handle: kseniam0s
- platform_url: https://twitter.com/kseniam0s
- website: https://pageform.io/
- country: United States
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 2315
- following: 542
- posts_total: 1678
- posts_observed: 9
- posts_per_day: 7.841
- account_age_days: 214
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.06048
- best_post_interactions: 140
- 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: saas
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: Data room analytics for fundraising, Investor engagement tracking, Startup fundraising strategies, Founder operations and execution
- bio: Will help you build your next data room
Founder @ https://t.co/URYV7YFObF
@Stripe Miami Community Lead

## Audience (inferred)
- status: present
- description: Startup founders and early-stage operators building data rooms for fundraising, especially those focused on investor engagement tracking
- roles: ecom_ops
- seniority: practitioner
- pain_points: Struggling to measure real investor interest during fundraising due to lack of visibility into data room activity, Finding it hard to know which investors are genuinely engaged and which are just browsing, Not having clear signals to prioritize follow-ups with potential investors
- posts_analysed: 3
- 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: 57
- authenticity_basis: engagement_observed
- credibility_score: 57
- flagged_for_review: false
- koinon_bd_grade: B — 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_kseniam0s#e0f27e77] Unpopular opinion: AI will create more jobs, not less. (https://twitter.com/kseniam0s)
- [x_kseniam0s#8db66044] How to track Investor Engagement in your Data Room? Investors don't just ghost your data room. They leave a trail... Room opens, page views, time spent, repeat visits, document opens. It's all there. Most founders send a Google drive folder and just send "checking in" for the fif
- [x_kseniam0s#0f548c05] Nobody tells you this about building a startup: You will have a

## 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=20, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=80, 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=80, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=108, 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=80, 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=108, 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=108, method=platform_profile

## Freshness
- profile_checked_days_ago: 108
- content_analysed_days_ago: 80
- audience_updated_days_ago: 20

## AI retrieval
- indexing_requests: 8
- 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_kseniam0s
- Request removal: https://koinonlink.com/claim?k=x_kseniam0s
- Terms: https://koinonlink.com/for-ai