# Arthur Spalanzani (@arthursbuilds) on x

- id: koinon:creator:x_arthursbuilds
- url: https://koinonlink.com/kol/x/arthursbuilds
- schema_version: 1.4

## Identity
- platform: x
- handle: arthursbuilds
- platform_url: https://twitter.com/arthursbuilds
- website: https://tap-and-swipe.com
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 1423
- following: 33
- posts_total: 356
- posts_observed: 6
- posts_per_day: 1.262
- account_age_days: 282
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.0506
- best_post_interactions: 72
- 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: app
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: Apple Ads performance tracking, App monetization strategies, Postback analytics integration, User journey funnel visualization, Indie app building journey
- bio: 🔎 https://t.co/jlbIKBTwLE: get more downloads + revenuemaxxing for Apple Ads

## Audience (inferred)
- status: present
- description: Apple Ads advertisers and indie app builders focused on monetization and analytics
- roles: ads
- seniority: practitioner
- pain_points: Struggling to track actual revenue after refunds, Lacking visibility into user journey funnels for optimization, Difficulty in attributing app installs and user behavior to Apple Ads, Not having deep analytics integrated directly into their apps
- posts_analysed: 5
- confidence: 0.4

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

## Quality signals
- authenticity_score: 60
- authenticity_basis: engagement_observed
- credibility_score: 60
- 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_arthursbuilds#214e6df6] Started YouTube just for fun. Never expected it to motivate other builders This genuinely makes my day (https://twitter.com/arthursbuilds/status/2071569814649250173)
- [x_arthursbuilds#7b39baa0] Refunds are now tracked in https://t.co/fudXO2iE6l You can see gross revenue, refunds, and what you actually kept. https://t.co/FycVDZ1pfR
- [x_arthursbuilds#f843355b] I've often felt pretty alone while building. It's hard to explain why I care so much about product, or why I'll spend hours obsessing over tiny details. Meeting builders who immediately get it is amazing. Really enjoyed this call. It's also a big reason I started my community.
- [x_arthursbuilds#ffcb210e] After I shared my user journey funnel, a lot of people asked how I built it. So I shipped it as a feature in Postback. You can now see exactly how many users reach each step and where they drop off. https://t.co/FkVPEESEDe
- [x_arthursbuilds#68c39bb1] Added Postback to both apps I’m working on and sent the updates to App Review. App 1: deeper analytics + Apple Ads data. App 2: attribution ready i

## 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=20, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=20, 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=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=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=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: 80
- audience_updated_days_ago: 20

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