Creator Intelligence Platform
PLAYLAB is a creator-intelligence data and software platform. We run our own crawling and enrichment pipeline to turn a proprietary dataset of 1,300,000+ global TikTok creators into structured attributes and performance signals — and the software that helps brands find the right creators at scale.
The Platform
Most brand-creator decisions still run on manual sourcing and static spreadsheets. PLAYLAB replaces that with a data platform: a proprietary, continuously refreshed dataset of 1,300,000+ global TikTok creators — from nano to mega tier — resolved into queryable attributes and observed performance, with software on top to search, match, track, and report. Brands discover creators, run and track campaigns, and report on outcomes in the product, with matching driven by structured attributes and real performance metrics rather than guesswork.
1,300,000+ global TikTok creators, nano to mega tier, collected and enriched by our own crawling and data pipeline — not a bought static list.
Every creator is resolved into queryable fields: country, follower tier, content category, skin type, skin tone, contact channel, and performance metrics.
Brands are matched to creators on structured attributes and observed performance signals, so the right fit is found by query, not by intuition.
Creator discovery and search, a campaign tracking dashboard, automated content-upload tracking, performance reporting, and attribute analytics in one stack.
The Product
PLAYLAB ships software on top of the data layer. Brands discover creators, run and track campaigns, monitor content uploads automatically, and report on outcomes in one product surface — all powered by the structured dataset underneath.
A live dashboard to run and track campaigns across creators, with status, placements, and progress in one view.
Automated content-upload tracking rolls into performance reports — views and engagement across multiple time windows, no manual collection.
Search and analyze the 1,300,000+ creator dataset by structured attributes — country, follower tier, category, skin type and tone, and contact channel.
Data & Coverage
Our moat is the data layer. We operate a continuous crawling and enrichment pipeline that builds and refreshes a proprietary dataset of 1,300,000+ global TikTok creators across 14 markets — US, UK, Japan, Korea, Singapore, Indonesia, Malaysia, Philippines, India, Taiwan, Hong Kong, Spain, Croatia, and Canada. Every creator is structured into queryable attributes — country, follower tier, content category, skin type, skin tone, and contact channel — and scored on performance metrics across multiple time windows (views and engagement over 15-, 30-, 60-, and 90-day windows), so the population is searchable and comparable rather than a frozen list.
Global TikTok creators in our proprietary dataset
Markets covered, from the US and UK to Japan, Korea, and SEA
Performance windows tracked per creator
1,300,000+ creators
across 14 markets worldwide
How It Works
Our own pipeline continuously crawls TikTok to discover and collect global creators from nano to mega tier — the dataset grows and refreshes continuously, rather than relying on bought static lists.
Each creator is resolved into queryable attributes — country, follower tier, content category, skin type, skin tone, contact channel — and scored on views and engagement across 15/30/60/90-day windows.
Brands are matched to creators on those structured attributes and observed performance signals, so selection is data-driven — not manual sourcing.
The software runs the rest: campaign tracking, automated content-upload tracking, and performance reporting close the loop and feed fresh signal back into the dataset.
On our roadmap — why Google Cloud
We are building large-scale qualitative video-content analysis on Google Cloud Video AI / Vertex AI, plus ML models for creator-brand matching and campaign-performance prediction — layered on the structured signals we already collect today.
Matched Creators
A look at creators discovered and matched through the platform — across tiers and markets, selected on structured attributes and performance signals.
Creators matched on the platform:
Traction
Global TikTok creators indexed in our proprietary dataset across 14 markets
Amazon sales growth over 3 months during a brand's North America launch
A proprietary dataset of 1,300,000+ global TikTok creators across 14 markets, continuously crawled and structured into queryable attributes and multi-window performance signals.
"During a PLAYLAB campaign, one brand's North America launch saw +1400% Amazon sales growth over three months.
"Brands we've partnered with
+ more...
Team
PLAYLAB was founded in 2025 in Seoul, South Korea, and is developed within Korea University's Startup Station program. We are a small, bootstrapped team that has built the dataset, the crawling pipeline, and the software entirely on our own data and engineering — with no external or venture funding to date. Everyone here spans data, product, and operations.
Founder & CEO
Product direction, brand partnerships, and overall strategy.
Data & ML Engineering
Builds the crawling and enrichment pipeline, the structured creator dataset, and the data-driven matching that powers the platform.
Product & Creator Growth
Leads product experience, creator and brand growth, and the content strategy that turns platform data into outcomes.
About
PLAYLAB (brand playxlab) is a digital-native creator-intelligence company founded in 2025 in Seoul, South Korea, and developed within Korea University's Startup Station program. We built a proprietary, continuously crawled dataset of 1,300,000+ global TikTok creators and the software that turns it into data-driven brand-to-creator matching. The platform is bootstrapped and shipping — built to date with no external or venture funding. On our roadmap, and the reason we are building toward Google Cloud: large-scale qualitative video-content analysis using Google Cloud Video AI / Vertex AI, and ML models for creator-brand matching and campaign-performance prediction, layered on the structured signals we already collect.
Explore the 1,300,000+ creator dataset, the discovery and analytics surfaces, and how data-driven matching works — book a live walkthrough or reach out and we'll share an overview.
