# Gap | Suby (@gaspardlezin) on x

- id: koinon:creator:x_gaspardlezin
- url: https://koinonlink.com/kol/x/gaspardlezin
- schema_version: 1.4

## Identity
- platform: x
- handle: gaspardlezin
- platform_url: https://twitter.com/gaspardlezin
- website: https://gap.suby.fi/
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 5646
- following: 536
- posts_total: 8712
- posts_observed: 2
- posts_per_day: 4.605
- account_age_days: 1892
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00372
- best_post_interactions: 21
- 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: fintech
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: Merchant of record options beyond Paddle, Tax and legal liability when selling globally, Differences between payment processors and merchants of reco
- bio: Co-founder @subyhq | Helping online businesses get paid & pay out anywhere in the world | Ex-crypto @LouisVuitton

## Audience (inferred)
- status: present
- description: Founders and operators of online/SaaS businesses handling international payments, taxes, and merchant-of-record selection
- roles: ecom_ops
- seniority: decision_maker
- pain_points: Picking the wrong merchant of record creates unexpected tax liability in multiple countries, Confusion between payment processors (Stripe etc.) and merchants of record leads to poor setup choices, Lack of awareness of the 14+ alternatives to Paddle that may fit better
- posts_analysed: 4
- 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: 80
- authenticity_basis: engagement_observed
- credibility_score: 80
- 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_gaspardlezin#74284a50] Everyone knows Paddle. Almost nobody can name the 14 other merchants of record that might fit them better. (https://twitter.com/gaspardlezin/status/2073104543089635447)
- [x_gaspardlezin#b3d57364] And that gap is expensive. Because the merchant of record you pick decides who's legally liable for tax in every country you sell to, not a detail you want to default into.
- [x_gaspardlezin#511f57bf] Quick reset, since most founders confuse the two:
- [x_gaspardlezin#43b9e7ea] A payment processor (Stripe, Nuvei, Adyen) just moves money from th

## 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=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=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=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: 79
- audience_updated_days_ago: 67

## AI retrieval
- indexing_requests: 11
- 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_gaspardlezin
- Request removal: https://koinonlink.com/claim?k=x_gaspardlezin
- Terms: https://koinonlink.com/for-ai