# Mike Gannotti (@MichaelGannotti) on x

- id: koinon:creator:x_michaelgannotti
- url: https://koinonlink.com/kol/x/MichaelGannotti
- schema_version: 1.4

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

## Reach
- followers: 51271
- following: 43199
- posts_total: 152234
- posts_observed: 34
- posts_per_day: 21.487
- account_age_days: 7085
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00037
- best_post_interactions: 19
- 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: 0.95
- category_source: derived_from_recent_content
- topics: FLUX.3 Video technical benchmarks, AI video generation comparisons, Generative AI model launches and testing, AI-assisted book illustration workflows
- bio: 💻 Michael Gannotti, North Carolina, Founder the SMF Works Project, Principal AI Solutions Engineer Microsoft. Army Vet, 🚫NO DMs! Opinions=MY OWN

## Audience (inferred)
- status: present
- description: AI engineers and technical practitioners focused on generative video/image models like FLUX
- roles: dev
- seniority: practitioner
- pain_points: Benchmarking new AI video models for resolution, duration and moderation, Comparing output quality across tools like FLUX vs MiniMax, Scaling AI-generated illustrations for books or content projects efficiently
- posts_analysed: 3
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.7
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 41
- authenticity_basis: engagement_observed
- credibility_score: 76
- flagged_for_review: false
- koinon_bd_grade: C — 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_michaelgannotti#1f2f9591] Basketball slam dunk in 2K. Generated with @MiniMax_AI H3. Compare the detail to the FLUX 3 version. #AIvideo To learn more follow @MichaelGannotti on X https://t.co/lbgkWkvG1p (https://twitter.com/MichaelGannotti)
- [x_michaelgannotti#6c1f0a79] 18 Figures at Gold: How We Brought 280 Illustrated Booklets to WisdomForge in One Day In a single session we took 10 thin text-only philosopher booklets and 6 theologian booklets with no art at all, generated 280 unique chapter images via FAL FLUX 2 Klein, drafted 40 illustrated 
- [x_michaelgannotti#9c4f6dd8] FLUX.3 Video Launch Day Deep-Dive: Moderation Map, Resolution Scaling, and Duration Benchmarks FLUX.3 Video launched August 4, 2026. Within 24 hours, we tested 15 video generation requests across a 10-step moderation spectrum, two resolutions (720p/1080p), and three durations (5s

## 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=76, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=76, 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=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=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=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: 78
- audience_updated_days_ago: 76

## AI retrieval
- indexing_requests: 13
- 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_michaelgannotti
- Request removal: https://koinonlink.com/claim?k=x_michaelgannotti
- Terms: https://koinonlink.com/for-ai