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TubeScience Tech Stack

Performance-driven video production studio with real-time data optimization

Advertising Services Los Angeles, California 201–500 employees Founded 2016 Privately Held
tubescience.com LinkedIn

TubeScience is a vertically integrated video studio that produces short-form content for DTC brands on a pure performance-pay model—meaning zero production fees unless videos outperform client benchmarks. The stack (PostgreSQL, MongoDB, Redis, Kubernetes, ffmpeg, Python) and active projects (LLM infrastructure, data platform, real-time creative optimization, AI-powered media buying) reveal a company transitioning from a production-first model toward a data and automation-first one. The hiring mix (marketing and design dominate; engineering and product are minimal) suggests they're scaling production and ops capacity while building internal tooling to reduce manual creative workflow bottlenecks.

Tech Stack 74 technologies

Core StackPostgreSQL MongoDB Redis Docker Kubernetes Terraform Pulumi Python Vercel Adobe Premiere Pro Adobe Creative Cloud Adobe Illustrator Monday.com After Effects Looker Vite TypeScript ffmpeg Railway Adobe After Effects Midjourney RunwayML Firefly Photoshop Pinterest Meta Ads Manager TikTok Ads Manager Snapchat CapCut Supermetrics+37 more

What TubeScience Is Building

◆Challenges

  • Scaling video production
  • Manual coordination bottlenecks
  • Optimizing media at scale
  • Legacy media buying practices
  • Operational infrastructure gaps
  • Scaling infrastructure for rapid growth
  • Rapid team scaling
  • Optimizing video performance
  • Reducing turnaround time
  • Complex optimization challenges

▲Active Projects

  • Short-form ad production
  • Short-form ads for tiktok, meta, youtube shorts
  • Real-time data-driven creative optimization
  • Ai-powered media buying product
  • Unifying verticals into one product
  • Llm infrastructure layer
  • Data platform
  • Build integrations and automation for creative ops workflow
  • Media ingestion platform
  • Shoot 5–10 pieces per week across dtc brands

Hiring Activity

Accelerating40 roles · 30 in 30d

Department

Marketing
15
Design
13
Ops
6
Engineering
3
Product
3

Seniority

Mid
19
Director
8
Senior
6
Junior
3
Lead
3
Manager
1

Notable leadership hires: Director, Creative Strategy Lead

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About TubeScience

TubeScience runs a pay-for-performance video advertising studio based in Los Angeles. The core business is producing short-form ads for platforms like TikTok, Meta, and YouTube Shorts, then optimizing them in real time using performance data. Rather than charge upfront production fees, they charge only when their videos outperform the client's existing creative—a model that ties revenue directly to measurable outcomes. The operation is structured around rapid iteration: concepts developed in the morning, shot and edited in the afternoon, launched the same evening, and refined based on live performance data the next day. The company has accumulated a library of IP around visual communication and consumer behavior from running 2,000+ video experiments per week at scale.

HeadquartersLos Angeles, California
Company Size201–500 employees
Founded2016
Hiring MarketsPoland, United States, Brazil, Mexico, Singapore, China, Argentina, Philippines

Frequently Asked Questions

What is TubeScience's business model?

Pure pay-for-performance: TubeScience produces short-form video ads at zero upfront cost and charges only when the videos outperform the client's internal benchmarks. Revenue is tied entirely to measurable performance.

What platforms does TubeScience create ads for?

TubeScience specializes in short-form ad production for TikTok, Meta, YouTube Shorts, and Snapchat. The core focus is DTC brands running rapid-iteration campaigns.

How this profile is built

TubeScience's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.