# Mike Strives (@mikestrives) on x

- id: koinon:creator:x_mikestrives
- url: https://koinonlink.com/kol/x/mikestrives
- schema_version: 1.4

## Identity
- platform: x
- handle: mikestrives
- platform_url: https://twitter.com/mikestrives
- website: https://mikestrives.com/learn
- entity_type: creator
- person_id: koinon:person:tiktok_mikestrives

## Reach
- followers: 28269
- following: 643
- posts_total: 13991
- posts_observed: 2
- posts_per_day: 2.379
- account_age_days: 5881
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00057
- best_post_interactions: 16
- 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: B2B SaaS growth hacking, Cold email outreach, Lead generation via data scraping, Domain warming and email deliverability, Scaling early-stage SaaS products
- bio: I scale software products with AI

## Audience (inferred)
- status: present
- description: B2B SaaS founders and growth hackers scaling early-stage products with cold email and outbound strategies
- roles: ads
- seniority: practitioner
- pain_points: Struggling to get traction with low-impact marketing tactics like just posting on Product Hunt, Having trouble setting up effective cold email campaigns due to poor domain setup and deliverability issues, Not knowing how to systematically source and validate target customer emails at scale, Lacking a repeatable outbound playbook to scale from $0 to $10k/month
- posts_analysed: 9
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.85
- promotion_intent: 0.9
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 74
- authenticity_basis: engagement_observed
- credibility_score: 89
- 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_mikestrives#2431a0ff] If your whole marketing strategy is "post on Product Hunt" (https://twitter.com/mikestrives/status/2072651987007496304)
- [x_mikestrives#b1ca8ad6] I'm gonna need you to sit down
- [x_mikestrives#bd8967e4] Here's the actual b2b playbook that scaled my products to $10k/month
- [x_mikestrives#2d5de7e2] Every single time
- [x_mikestrives#71bb48e2] Scrape every target customer's email from Apollo, BuiltWith, etc
- [x_mikestrives#89fe148c] Register separate sending domains for cold email
- [x_mikestrives#bba2fff5] Not your main site domain!
- [x_mikestrives#7d18fcdb] (pick smthng like getproduct@, tryproduct@, learnproduct@, etc)

## 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=21, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=21, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=21, 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=111, 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=111, 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=111, method=platform_profile

## Freshness
- profile_checked_days_ago: 111
- content_analysed_days_ago: 80
- audience_updated_days_ago: 21

## AI retrieval
- indexing_requests: 10
- 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_mikestrives
- Request removal: https://koinonlink.com/claim?k=x_mikestrives
- Terms: https://koinonlink.com/for-ai