# StartUpSep | AI Squads (@startupsep) on tiktok

- id: koinon:creator:tiktok_startupsep
- url: https://koinonlink.com/kol/tiktok/startupsep
- schema_version: 1.4

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

## Reach
- followers: 5914
- following: 561
- posts_total: 172
- posts_observed: 4
- 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: 0.9
- category_source: derived_from_recent_content
- topics: Claude model updates and features, Vibe coding and AI agents for building, AI education programs and cohorts for students, Startup building with AI tools, Tech careers, layoffs, and internships
- bio: Faculty Lecturer @ UC Berkeley 🐻 
Prev ML @ Coinbase, Tesla
30 Day AI Launch Program ⬇️

## Audience (inferred)
- status: present
- description: Students, teens, and young aspiring developers or solo founders learning AI tools like Claude for coding and startups
- roles: none
- seniority: learner
- pain_points: Keeping up with frequent Claude and LLM releases, Finding affordable/free ways to access and learn advanced AI coding tools, Building real AI projects or businesses as beginners without big budgets, Navigating college, internships, and early tech career steps
- posts_analysed: 77
- confidence: 0.9

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.9
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 49
- authenticity_basis: profile_shape_only
- credibility_score: 49
- 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_startupsep#63152085] I feel like I hit green on roulette 10 times in a row #simonsquibb #ai #startup #education (https://www.tiktok.com/@startupsep)
- [tiktok_startupsep#2985c9b0] original sound - startupsep
- [tiktok_startupsep#914c00a7] Rune Scimitar (Medium Version) - Instrumental
- [tiktok_startupsep#0c7c410f] It is a becoming a big trend on TikTok now! Click here: simonsquibb
- [tiktok_startupsep#8325ba45] Check out StartUpSep | AI Squads’s video! #TikTok >
- [tiktok_startupsep#8e348c5f] The first cohort launching this month is completely free sponsored by Devin.AI. We also have $2000 up for prizes 😎 #ai #education #learnai #aiscouts #vibecoding
- [tiktok_startupsep#496f7b65] Part 2 on my profile #startup #techtok #interviews
- [tiktok_startupsep#23cd07e0] We already have some big guests lined up 👀 #ai #ucberkeley

## 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=58, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.9, freshness_days=58, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.9, freshness_days=58, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=58, 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=58, 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=58, 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: 58
- audience_updated_days_ago: 58

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