# Michael Rumiantsau (@MicRum) on x

- id: koinon:creator:x_micrum
- url: https://koinonlink.com/kol/x/MicRum
- schema_version: 1.4

## Identity
- platform: x
- handle: MicRum
- platform_url: https://twitter.com/MicRum
- website: https://www.micrum.me/
- country: United States
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 1490
- following: 630
- posts_total: 4048
- posts_observed: 13
- posts_per_day: 0.819
- account_age_days: 4940
- verified: false
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00134
- best_post_interactions: 2
- 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: 0.9
- category_source: derived_from_recent_content
- topics: Semantic layers for LLMs, Agentic analytics workflows, LLM reliability in data tasks, AI-powered data product development, Building production-grade AI agents for data
- bio: Founder, Investor, Product Leader

## Audience (inferred)
- status: present
- description: Product leaders, data engineers, and AI-driven analytics builders who are implementing or evaluating semantic layers and agentic workflows in data products
- roles: data
- seniority: practitioner
- pain_points: Struggling with inconsistent or unreliable LLM-generated analytics due to poor context handling, Finding it hard to integrate LLMs into production workflows without robust data structuring, Needing to build reliable agentic systems for data tasks but lacking proven patterns or benchmarks
- posts_analysed: 5
- 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: 49
- authenticity_basis: engagement_observed
- credibility_score: 49
- 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_micrum#49f5595c] Published a new study/benchmark on how semantic layers make LLM analytics reliable. A simple 4 KB markdown file in the prompt improved accuracy by 17-23 percentage points across every model https://t.co/vtSuVSZjH9 https://t.co/QtUCaj2r9B (https://twitter.com/MicRum/status/1818351024178086014)
- [x_micrum#edacb877] Speaking at the Agentic Analytics Summit tomorrow on how semantic layers make LLM analytics reliable. Releasing the research, the benchmark, and the dataset: all open. https://t.co/fuUS8zurGf https://t.co/sec4pZ3VbJ
- [x_micrum#5f989844] Me watching ChatGPT (Agent Mode) trying to type a date into a date picker control https://t.co/DNrCMpf6C6
- [x_micrum#ce57d51f] One year later, that day finally came! AI logs startup pitches into a spreadsheet, pulls the decks, and writes short analyst-style reviews. Workspace Studio works like a charm! Native in Gmail, no Mac mini needed. Now I’m just hoping Google doesn’t randomly kill it. https://t.co/
- [x_micrum#61c846b1] This is the "Cursor" moment for data an

## 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: 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_micrum
- Request removal: https://koinonlink.com/claim?k=x_micrum
- Terms: https://koinonlink.com/for-ai