# Anthony sistilli (@anthonysistilli) on tiktok

- id: koinon:creator:tiktok_anthonysistilli
- url: https://koinonlink.com/kol/tiktok/anthonysistilli
- schema_version: 1.4

## Identity
- platform: tiktok
- handle: anthonysistilli
- platform_url: https://www.tiktok.com/@anthonysistilli
- website: links.sistilli.dev
- country: Canada
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 202984
- following: 1649
- posts_observed: 1
- verified: false
- size_tier: kol

## 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: Software engineering workplace memes, AI coding tools and agents, Corporate tech culture and bureaucracy, Developer career stories and humor, Industry trends like Claude and Anthropic
- bio: 📌 Toronto
👾 Sr SWE
✉️ [contact removed]

## Audience (inferred)
- status: present
- description: Software engineers and developers, mainly mid-to-senior practitioners in tech companies dealing with corporate workflows and AI tools
- roles: dev
- seniority: practitioner
- pain_points: Broken dev environments and debugging nightmares, Annoying corporate processes like Slack messages, Jira, and pointless standups, Hype vs reality around AI coding agents and tools, Recruiting biases and junior hiring challenges
- posts_analysed: 74
- confidence: 0.9

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.4
- open_to_collaboration: true
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 58
- authenticity_basis: profile_shape_only
- credibility_score: 58
- 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_anthonysistilli#4cfe3115] We had it all in 2020 then we lost it #softwareengineer #coding #workplacehumor (https://www.tiktok.com/@anthonysistilli)
- [tiktok_anthonysistilli#07016d86] original sound - anthonysistilli
- [tiktok_anthonysistilli#f14ac946] It is a becoming a big trend on TikTok now! Click here: softwareengineer
- [tiktok_anthonysistilli#1ebde2da] Check out Anthony sistilli’s video! #TikTok >
- [tiktok_anthonysistilli#958beeb7] Should Jared get 3000 NVidia GPUs?? #workmemes #techtok #softwareengineer
- [tiktok_anthonysistilli#e789e7f9] #techtok #softwareengineer
- [tiktok_anthonysistilli#628ec166] Join the #TechTok Post Contest and post videos sharing your best tech reviews, knowledge and learnings. From March 27th until April 24th, sign up and post for a chance to win up to $5000 in cash! Click link for official contest rules and how to enter: https://vt.tiktok.com/ZMBDJD
- [tiktok_anthonysistilli#ceba29bf] Dr Albust Dongledore ..??

## 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=73, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.9, freshness_days=73, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.9, freshness_days=73, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=73, 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=73, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=73, 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=73, 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=73, 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=73, method=platform_profile

## Freshness
- profile_checked_days_ago: 73
- content_analysed_days_ago: 73
- audience_updated_days_ago: 73

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