# Eliana Jordan (@eliana_codes) on tiktok

- id: koinon:creator:tiktok_eliana_codes
- url: https://koinonlink.com/kol/tiktok/eliana_codes
- schema_version: 1.4

## Identity
- platform: tiktok
- handle: eliana_codes
- platform_url: https://www.tiktok.com/@eliana_codes
- website: https://youtube.com/@eliana_jordan
- country: United States
- entity_type: creator
- person_id: koinon:person:tiktok_eliana_codes

## Reach
- followers: 3870
- following: 117
- posts_observed: 6
- verified: false
- size_tier: nano

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- 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: 0.85
- category_source: derived_from_recent_content
- topics: coding humor and memes, women in tech / STEM, quitting job to build apps, TypeScript and web dev basics, AI coding tools like Cursor
- bio: Just a dive instructor who learned to code

## Audience (inferred)
- status: present
- description: Young women and beginners interested in learning to code, building apps, and consuming tech memes
- roles: none
- seniority: learner
- pain_points: Debugging frustrating code errors without clear help, Balancing a non-tech job while trying to learn coding, Finding relatable community as women entering tech, Staying motivated to ship apps instead of just consuming content
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.6
- promotion_intent: 0.4
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 39
- authenticity_basis: profile_shape_only
- credibility_score: 39
- flagged_for_review: false
- koinon_bd_grade: C — 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
- [tiktok_eliana_codes#916f3a32] Sure, take the keyboard #codinghumor #codingjokes #programmer #programmingmemes #webdevelopment (https://www.tiktok.com/@eliana_codes)
- [tiktok_eliana_codes#95db31b8] original sound - brodevs
- [tiktok_eliana_codes#cf0c609e] It is a becoming a big trend on TikTok now! Click here: codinghumor
- [tiktok_eliana_codes#bedbfeae] Check out Eliana Jordan’s video! #TikTok >
- [tiktok_eliana_codes#7e13b6e8] In your 20s, you’ll get an app idea. Learn to code, quit your job, build it. #founder #womeninbusiness #girlswhocode #techgirl #webdeveloper
- [tiktok_eliana_codes#a070d864] original sound - luvkacchan
- [tiktok_eliana_codes#bdcfd017] Silver Springs (2004 Remaster)
- [tiktok_eliana_codes#6b7e645e] Search:

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.75, freshness_days=55, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=55, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=55, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=55, 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=55, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=79, 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=0.25, freshness_days=55, 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=79, 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=79, method=platform_profile

## Freshness
- profile_checked_days_ago: 79
- content_analysed_days_ago: 55
- audience_updated_days_ago: 55

## AI retrieval
- indexing_requests: 8
- 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=tiktok_eliana_codes
- Request removal: https://koinonlink.com/claim?k=tiktok_eliana_codes
- Terms: https://koinonlink.com/for-ai