# harrylbuilds (@harrylbuilds) on tiktok

- id: koinon:creator:tiktok_harrylbuilds
- url: https://koinonlink.com/kol/tiktok/harrylbuilds
- schema_version: 1.4

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

## Reach
- followers: 2017
- following: 26
- posts_observed: 31
- 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: 0.85
- category_source: derived_from_recent_content
- topics: vibecoding and brain-dead simple AI app building, diversity and inclusion in beginner coding/tech, building apps with no code knowledge, keystackz and API key management tools, building in public as a non-coder
- bio: i help people start their shipping apps with ai👇

## Audience (inferred)
- status: present
- description: Absolute beginners and non-coders trying to build and ship AI apps, especially those seeking a more diverse and less toxic entry into tech
- roles: automation
- seniority: learner
- pain_points: Intimidated by negative tech bros and superiority complexes in coding communities, Zero coding knowledge making it hard to start building apps, Hassle of managing multiple API keys and tools when trying to ship something, Feeling excluded from traditional tech spaces and wanting more diversity
- posts_analysed: 34
- confidence: 0.75

## 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: 35
- authenticity_basis: profile_shape_only
- credibility_score: 35
- 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_harrylbuilds#c473ac58] lets keep changing the space (https://www.tiktok.com/@harrylbuilds)
- [tiktok_harrylbuilds#8bdcc470] original sound - harrylbuilds
- [tiktok_harrylbuilds#3dfd2765] Check out harrylbuilds’s video! #TikTok >
- [tiktok_harrylbuilds#c1f6a38b] comment keys to get started
- [tiktok_harrylbuilds#dbca0572] more diversity in the space less negative men
- [tiktok_harrylbuilds#d641ef94] commenting ai slop makes u $0
- [tiktok_harrylbuilds#0812c6cf] whiney insecure men in coding lmao
- [tiktok_harrylbuilds#b289c5bd] app is to diversify the space

## 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=57, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=57, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=57, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=57, 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=57, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=71, 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=57, 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=71, 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=71, method=platform_profile

## Freshness
- profile_checked_days_ago: 71
- content_analysed_days_ago: 57
- audience_updated_days_ago: 57

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