# ScaleUp Sage (@ScaleUpSage) on youtube

- id: koinon:creator:youtube_scaleupsage
- url: https://koinonlink.com/kol/youtube/ScaleUpSage
- schema_version: 1.4

## Identity
- platform: youtube
- handle: ScaleUpSage
- platform_url: https://www.youtube.com/@ScaleUpSage
- country: Singapore
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 97700
- posts_observed: 43
- 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: ai_tools
- category_confidence: 0.95
- category_source: derived_from_recent_content
- topics: AI agents and autonomous workflows, AI hardware (NVIDIA, TPU, China chips, geopolitics), Open-source AI tools and platforms (MyClaw.ai, comparisons), AI security and code safety, Future of work, AGI, and robotics impact, Indie builder strategies vs big tech
- bio: Welcome to ScaleUp Sage, your go-to hub for scaling businesses through AI, automation, and strategic growth. We help ...

## Audience (inferred)
- status: present
- description: AI-focused startup founders, indie builders, and tech practitioners building or scaling with autonomous agents, open-source AI tools, and next-gen hardware
- roles: automation
- seniority: practitioner
- pain_points: Getting locked into proprietary AI models and vendor lock-in, Security risks from rogue AI agents and code vulnerabilities, NVIDIA monopoly driving up costs and limiting access to AI compute, Keeping up with rapid shifts from tools to multi-agent autonomous systems
- posts_analysed: 44
- 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: 57
- authenticity_basis: profile_shape_only
- credibility_score: 57
- 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
- [youtube_scaleupsage#bc2a48ce] The Business Value of AI Agents: From Chatbots to Action #shorts (https://www.youtube.com/@ScaleUpSage)
- [youtube_scaleupsage#1f8df478] Why Prescriptive AI is the new staff officer #ai #innovation #leadership
- [youtube_scaleupsage#b61aecab] How Artificial Scientists are Automating Discovery #shorts
- [youtube_scaleupsage#4597cd98] AI Taught Itself to Run Lab Experiments #ai #robotics #science
- [youtube_scaleupsage#3769003b] Wait, robots can actually do this now? #tech #ai #robotics
- [youtube_scaleupsage#b41df017] BMW’s new secret weapon for the factory floor 🏭🤖 #ai #robotics #bmw
- [youtube_scaleupsage#9900f7f9] How Indie Builders Are Beating the Mega-Models #ai #diy
- [youtube_scaleupsage#2e3f198b] Don't Get Locked Into Proprietary AI #ai #startup #independence

## 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=84, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=84, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=84, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=72, 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=72, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=83, 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=72, 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=83, 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=83, method=platform_profile

## Freshness
- profile_checked_days_ago: 83
- content_analysed_days_ago: 72
- audience_updated_days_ago: 84

## AI retrieval
- indexing_requests: 10
- 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=youtube_scaleupsage
- Request removal: https://koinonlink.com/claim?k=youtube_scaleupsage
- Terms: https://koinonlink.com/for-ai