# Dakota Hermes (@dakotahermes) on x

- id: koinon:creator:x_dakotahermes
- url: https://koinonlink.com/kol/x/dakotahermes
- schema_version: 1.4

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

## Reach
- followers: 1608
- following: 606
- posts_total: 5288
- posts_observed: 1
- posts_per_day: 0.813
- account_age_days: 6503
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00187
- 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: 0.89
- category_source: derived_from_recent_content
- topics: Meta ads compliance and bans, Claude AI integrations in Slack, Client acquisition via speaking, Sales booking and no-show reduction

## Audience (inferred)
- status: present
- description: Meta ads practitioners and small-scale digital marketers/consultants who run their own campaigns and integrate AI tools
- roles: ads
- seniority: practitioner
- pain_points: Meta ad accounts getting banned from duplicate profiles, Setting up reliable AI automations like Claude in Slack, Landing clients while standing out professionally in speaking, High no-show rates hurting booking conversion
- posts_analysed: 4
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.6
- promotion_intent: 0.5
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 61
- authenticity_basis: engagement_observed
- credibility_score: 61
- 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_dakotahermes#425eb915] fastest way to get your meta ads banned is by making a new (duplicate) profile to run ads with. meta wants to know you're a real person. you should only have one profile, verified by your id we've even had employees go to a notary and send mail in to meta to verify their identity (https://twitter.com/dakotahermes/status/2069538830341075183)
- [x_dakotahermes#114e83e3] so claude tag in slack keeps pleasantly surprising me. after you add it to your channels, at random moments it'll pop in and actually just do what you're talking about. sometimes it's AMAZING and other times it's downright scary feels like peeking into the future a bit https://t.
- [x_dakotahermes#98b3d476] landed a client a few months ago simply because i was the only one not dropping F-bombs from stage you never know who will appreciate you being different. and they can’t find you if you lack the courage to be different.
- [x_dakotahermes#a96ed752] I hate to be the one to tell you this but your no-show rate has very little to do with your book

## 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=67, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=67, 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=121, 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=121, 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=121, method=platform_profile

## Freshness
- profile_checked_days_ago: 121
- content_analysed_days_ago: 80
- audience_updated_days_ago: 67

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