# Esco Obong (@escobyte) on tiktok

- id: koinon:creator:tiktok_escobyte
- url: https://koinonlink.com/kol/tiktok/escobyte
- schema_version: 1.4

## Identity
- platform: tiktok
- handle: escobyte
- platform_url: https://www.tiktok.com/@escobyte
- country: Nigeria
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 2650
- following: 42
- posts_observed: 3
- 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: ai_tools
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: AI-assisted coding and LLMs as tools, Software engineering best practices, Prompt engineering for devs, Git and version control with AI agents, Tech career growth and compensation

## Audience (inferred)
- status: present
- description: Software engineers and developers actively using or exploring AI coding tools like ChatGPT and Claude
- roles: dev
- seniority: practitioner
- pain_points: AI-generated code that looks good but contains hidden bugs or security issues, Forgetting to use git/version control when working with coding agents, Fear that AI will replace their job versus learning to leverage it effectively, Being underpaid as a senior SWE and needing better interview strategies
- posts_analysed: 14
- 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: 37
- authenticity_basis: profile_shape_only
- credibility_score: 37
- 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_escobyte#ea3f7f81] If you’re not reading your AI generated code, you could be building something like this without even realizing it. On the surface it looks beautiful and everything works as expected…until the wrong series of events happens. A lot of very good engineers are in the #dontread code c (https://www.tiktok.com/@escobyte)
- [tiktok_escobyte#323da25d] So Fresh, So Clean (Instrumental)
- [tiktok_escobyte#b689920f] It is a becoming a big trend on TikTok now! Click here: dontread
- [tiktok_escobyte#1996fc13] Check out Esco Obong’s video! #TikTok >
- [tiktok_escobyte#2a6436b8] Only software engineers will understand why he did that #softwareengineer #Tech #techtok
- [tiktok_escobyte#2422dd3e] original sound - esc

## 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=53, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=53, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=53, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=53, 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=53, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=72, 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=53, 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=72, 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=72, method=platform_profile

## Freshness
- profile_checked_days_ago: 72
- content_analysed_days_ago: 53
- audience_updated_days_ago: 53

## AI retrieval
- indexing_requests: 14
- 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_escobyte
- Request removal: https://koinonlink.com/claim?k=tiktok_escobyte
- Terms: https://koinonlink.com/for-ai