# gradbyte (@gradbyte) on tiktok

- id: koinon:creator:tiktok_gradbyte
- url: https://koinonlink.com/kol/tiktok/gradbyte
- schema_version: 1.4

## Identity
- platform: tiktok
- handle: gradbyte
- platform_url: https://www.tiktok.com/@gradbyte
- website: https://linktr.ee/gradbyte
- country: Turkey
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 2079
- following: 26
- posts_observed: 1
- 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: Free ML and AI learning resources, CS fundamentals and self-study curricula, Building and releasing personal apps, Linux and terminal tools, AI-era career and degree value debates
- bio: 🐧 Tech | AI | Code | Life | Memes
📱 Software Engineer
📨 [contact removed]
🔗 IG: gradbyte.codes (60K+)

## Audience (inferred)
- status: present
- description: CS students, aspiring software engineers and junior devs looking for free ML/AI and coding resources
- roles: dev
- seniority: learner
- pain_points: Finding high-quality free alternatives to paid ML and CS courses, Deciding whether a CS degree is still worth it in the AI era, Building and shipping personal apps without clear next steps or resources, Mastering core fundamentals like linear algebra, Linux, and algorithms on their own
- posts_analysed: 40
- 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_gradbyte#a608fe8e] You don't need to pay to level up. 3 free machine learning resources worth your time: 📕TensorFlow Learn, complete developer roadmaps, math essentials, and edge-to-production pipelines. 📘fast.ai, practical, code-first machine learning and tabular modeling with Random Forests. 📙 (https://www.tiktok.com/@gradbyte)
- [tiktok_gradbyte#0aadd9d4] The Great Escape
- [tiktok_gradbyte#53fce3b5] Check out gradbyte’s video! #TikTok >
- [tiktok_gradbyte#a6c14468] Machine Learning Resources That Are Better Than Paid Courses 👾🤖📚
- [tiktok_gradbyte#6be5bba2] I love building 👨‍💻
- [tiktok_gradbyte#c803b2a9] original sound - .1ceg
- [tiktok_gradbyte#f89b72df] Sodus
- [tiktok_gradbyte#427a4232] the dev cycle

## 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=95, 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=95, 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=95, method=platform_profile

## Freshness
- profile_checked_days_ago: 95
- content_analysed_days_ago: 57
- audience_updated_days_ago: 57

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