# martin.devsaas (@martin.devsaas) on tiktok

- id: koinon:creator:tiktok_martin.devsaas
- url: https://koinonlink.com/kol/tiktok/martin.devsaas
- schema_version: 1.4

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

## Reach
- followers: 5270
- following: 23
- posts_total: 95
- 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: security
- category_confidence: 0.85
- category_source: derived_from_recent_content
- topics: Cybersecurity tools and exploits (Flipper Zero, relay attack, Mesh networks and decentralized communication, Algorithms and their real-world applications, Privacy technologies and data protection, Emerging tech like blockchain, quantum computing, and AI mod
- bio: Software Engineer
Je vulgarise des projets informatiques 🎱

## Audience (inferred)
- status: present
- description: French-speaking tech enthusiasts and hobbyists focused on cybersecurity, privacy tools, algorithms, and alternative/off-grid communication
- roles: dev
- seniority: practitioner
- pain_points: Protecting personal data and avoiding surveillance or data leaks, Understanding how complex algorithms power everyday tech, Finding reliable communication methods when mainstream networks fail or are restricted, Keeping up with security vulnerabilities in gadgets and systems like cars or Bluetooth
- 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: 48
- authenticity_basis: profile_shape_only
- credibility_score: 48
- 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_martin.devsaas#5cc02b37] Ce gadget est interdit au Brésil  #flipperzero #cybersécurité #onde #nfc #télécommande (https://www.tiktok.com/@martin.devsaas)
- [tiktok_martin.devsaas#1f4183c0] Everything In Its Right Place
- [tiktok_martin.devsaas#247bcffb] It is a becoming a big trend on TikTok now! Click here: flipperzero
- [tiktok_martin.devsaas#98e42d64] Check out martin.devsaas’s video! #TikTok >
- [tiktok_martin.devsaas#1f739289] Un code qui efface toutes tes données... #grapheneos #googlepixel #codepin #cybersecurité #données
- [tiktok_martin.devsaas#5d98afd0] original sound - martin.devsaas
- [tiktok_martin.devsaas#e7a4de7c] chill hip hop (90)
- [tiktok_martin.devsaas#b4e7fdd5] Ta main comme moyen de vérification #objectdetection #captcha #google #handland #model Crédits: « Vérification des gestes de la main » https://docs.cloud.google.com/recaptcha/docs/hand-gesture-verification?hl=fr « Hand landmarks detection guide » https://developers.google.com/edg

## 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=70, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=70, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=70, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=70, 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=70, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=93, 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=70, 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=93, 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=93, method=platform_profile

## Freshness
- profile_checked_days_ago: 93
- content_analysed_days_ago: 70
- audience_updated_days_ago: 70

## AI retrieval
- indexing_requests: 11
- 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_martin.devsaas
- Request removal: https://koinonlink.com/claim?k=tiktok_martin.devsaas
- Terms: https://koinonlink.com/for-ai