# Nathan Geckler (@NathanGeckler) on x

- id: koinon:creator:x_nathangeckler
- url: https://koinonlink.com/kol/x/NathanGeckler
- schema_version: 1.4

## Identity
- platform: x
- handle: NathanGeckler
- platform_url: https://twitter.com/NathanGeckler
- website: https://apps.apple.com/us/app/pillpets-pill-reminders/id6755966131
- country: United States
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 5757
- following: 738
- posts_total: 8007
- posts_observed: 3
- posts_per_day: 4.623
- account_age_days: 1732
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00087
- best_post_interactions: 5
- 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: devtools
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: iOS App开发与功能迭代, 通知与位置服务实现, Figma设计App Store素材, YouTube直播构建过程, RevenueCat与Shipathon参与
- bio: 19 | building mobile apps | vibe coder @anything

## Audience (inferred)
- status: present
- description: Young independent iOS developers and app builders, primarily from small teams or solo developers
- roles: dev
- seniority: practitioner
- pain_points: Dealing with over-notification and poor user experience caused by location-triggered alerts, Quickly designing App Store screenshots and visual assets for their first app release, Live-streaming or documenting their development journey in real time to build early user engagement and gather feedback, Integrating monetization tools like RevenueCat and completing Shipathon-style challenges
- posts_analysed: 5
- 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: 63
- authenticity_basis: engagement_observed
- credibility_score: 78
- 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_nathangeckler#861bd5ff] designed these App Store screenshots in Figma they could definitely be improved, but for the first version they'll be just fine another thing checked off for my @RevenueCat #Shipaton app https://t.co/fb8tR8ji2H (https://twitter.com/NathanGeckler/status/2070502781639639444)
- [x_nathangeckler#9fc67a7e] update: had to add notification cooldowns 😂 turns out driving past a bunch of fast food places in 2 minutes makes your phone absolutely blow up with notifications
- [x_nathangeckler#5e31801c] just got called out by my own app 😭 used @SuperAppIOS to build a feature that sends users a notification whenever they get too close to a fast food restaurant safe to say… it works building this app for the @RevenueCat #Shipaton btw https://t.co/KtoNHXN5Zc
- [x_nathangeckler#ab529549] been live streaming on YouTube every day to document building my app for the @RevenueCat #Shipaton already starting to get quite a few people hanging out in every stream gonna keep showing up every day https://t.co/6Y84TzPyEE
- [x_nathangeckler#e6fdabd8] realized i should probably have

## 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=77, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=77, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=77, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=77, 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=77, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=112, 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=77, 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=112, 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=112, method=platform_profile

## Freshness
- profile_checked_days_ago: 112
- content_analysed_days_ago: 77
- audience_updated_days_ago: 77

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