# Joe Haslam ☘ 🇪🇺 (@joehas) on x

- id: koinon:creator:x_joehas
- url: https://koinonlink.com/kol/x/joehas
- schema_version: 1.4

## Identity
- platform: x
- handle: joehas
- platform_url: https://twitter.com/joehas
- website: https://www.ie.edu/business-school/faculty-and-research/faculty/joe-haslam/
- country: EU
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 12226
- following: 12651
- posts_total: 190797
- posts_observed: 22
- posts_per_day: 27.664
- account_age_days: 6897
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.0009
- best_post_interactions: 11
- 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: Intercom创始人故事与早期历史, SaaS公司pivot到AI的案例, SME规模化策略
- bio: Professor @IEuniversity & @AUBOSB @LeadershipQUB. I research & teach how SMEs scale. Alum @UCC. Forza @RCDeportivo. Labhair Gaeilge liom. Speaking @CSA_Global.

## Audience (inferred)
- status: present
- description: SME founders, startup executives and business students interested in tech/SaaS scaling case studies
- roles: none
- seniority: decision_maker
- pain_points: 缺乏真实SaaS公司从初创到规模化的案例参考, 面对产品pivot和AI转型时决策困难, 需要了解创始人真实经历和团队动态
- posts_analysed: 3
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.7
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 50
- authenticity_basis: engagement_observed
- credibility_score: 65
- 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_joehas#c7f68f83] How The Pivot to @fin_ai Saved a Dying @intercom (https://twitter.com/joehas/status/2068387146793140518)
- [x_joehas#dbb37dc7] "Back in August 2011, @ciaran_lee  and @eoghan  McCabe shared a beer in a dive bar called Club 93 in the South of Market neighbourhood in San Francisco. Along with two other friends, @destraynor  and David Barrett, they’d just incorporated a new company together.
- [x_joehas#9a45f419] At 30, Lee was the oldest of the four founders. A former Irish international skier,

## 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=79, 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=79, 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=79, 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: 79
- audience_updated_days_ago: 67

## AI retrieval
- indexing_requests: 7
- 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_joehas
- Request removal: https://koinonlink.com/claim?k=x_joehas
- Terms: https://koinonlink.com/for-ai