# A Pragmatic Engineer 👨‍💻 (@glich.stream) on tiktok

- id: koinon:creator:tiktok_glich.stream
- url: https://koinonlink.com/kol/tiktok/glich.stream
- schema_version: 1.3

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

## Reach
- followers: 73361
- following: 13
- posts_observed: 17
- verified: false
- size_tier: koc

## 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: 0.95
- category_source: derived_from_recent_content
- topics: Software engineering career advice and best practices, AI impact on coding and developer workflows, Kubernetes, distributed systems, and infrastructure, Tools and hardware for engineers (keyboards, 3D printing, ho, Learning fundamentals and avoiding hype-driven shortcuts

## Audience (inferred)
- status: present
- description: Software engineers and developers focused on practical skills, career growth, and modern tooling in tech
- roles: dev
- seniority: practitioner
- pain_points: Struggling to learn complex systems like Kubernetes without oversimplified explanations, Navigating career plateaus, burnout, and perception management as engineers, Adapting to AI tools while maintaining deep technical understanding and avoiding skill atrophy, Dealing with job market uncertainty and deciding where to invest learning time
- posts_analysed: 80
- confidence: 0.9

## 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: 55
- authenticity_basis: profile_shape_only
- credibility_score: 55
- flagged_for_review: false
- koinon_bd_grade: B — 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_glich.stream#0b490b52] The genius behind dialup modems! It’s so fascinating to see & understand what’s happening behind that iconic sound of connecting to the internet. #programming #coding #softwareengineering (https://www.tiktok.com/@glich.stream)
- [tiktok_glich.stream#1227e8a9] original sound - glich.stream
- [tiktok_glich.stream#0f2056af] It is a becoming a big trend on TikTok now! Click here: programming
- [tiktok_glich.stream#3260ae95] Check out A Pragmatic Engineer 👨‍💻’s video! #TikTok >
- [tiktok_glich.stream#3e2fc8cb] Kubernetes doesn’t have to be complicated. Let me explain to you the history if how we got to it and trust me you’ll understand it better than ever! #kubernetes #programming #coding #devops #softwareengineering
- [tiktok_glich.stream#cf60f4a6] Disposable TUIs with Opus 4.5 as short term utilities?! Also, none of the data shown is real, it’s all fake data generated by the LLM for testing purposes #programming #coding #softwareengineering
- [tiktok_glich.stream#65bff042] UI changes at the scale of GitHub are

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

- audience.description: source_type=ai_inferred, confidence=0.9, freshness_days=28, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.9, freshness_days=28, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.9, freshness_days=28, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=0, 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=0, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=2, 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=0, 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=2, 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=2, method=platform_profile

## Freshness
- profile_checked_days_ago: 2
- content_analysed_days_ago: 0
- audience_updated_days_ago: 28

## AI retrieval
- indexing_requests: 1
- 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_glich.stream
- Request removal: https://koinonlink.com/claim?k=tiktok_glich.stream
- Terms: https://koinonlink.com/for-ai