Depot vs Oda Studio

Side-by-side comparison of AI visibility scores, market position, and capabilities

Depot

EmergingInfrastructure

Cloud Services

Remote Docker build cache service turning 10-minute CI builds into 2-minute builds; shared persistent layer cache across CI runners competing with Docker Build Cloud for container build acceleration.

AI VisibilityBeta
Overall Score
C40
Category Rank
#31 of 85
AI Consensus
52%
Trend
stable
Per Platform
ChatGPT
31
Perplexity
38
Gemini
31

About

Depot is a remote Docker build cache and layer storage service that dramatically accelerates Docker image builds in CI/CD pipelines — providing a shared, persistent build cache that allows consecutive builds to reuse unchanged layers across different machines and parallel runners, turning 10-minute Docker builds into 2-minute builds. Founded in 2022 and headquartered in the United States, Depot targets engineering teams running Docker-based CI/CD on GitHub Actions, CircleCI, or other cloud CI platforms where each build starts from scratch without access to previous build cache.\n\nDepot's shared remote cache stores Docker build layers in cloud infrastructure and makes them available to all CI runners across a team — when a build starts, it checks Depot's cache for previously built layers and only rebuilds what has changed. This is particularly impactful for large monorepos and multi-stage Dockerfiles where base dependency layers (npm install, pip install, Maven dependencies) represent significant build time but rarely change between commits. Depot also provides native ARM build support (building ARM64 images without slow emulation).\n\nIn 2025, Depot competes with Docker's own Build Cloud, Buildkite Depot, and engineering teams' self-managed BuildKit caching solutions for CI Docker build optimization. The Docker build performance market has grown as teams running microservices in containers experience significant CI cost and time from slow Docker builds. Depot's managed service eliminates the infrastructure management burden of self-hosted build cache. The 2025 strategy focuses on expanding GitHub Actions integration (native action available in GitHub Marketplace), growing ARM native build adoption as teams adopt Apple Silicon development, and building build analytics that help teams identify slow Dockerfile patterns.

Full profile

Oda Studio

EmergingReal Estate & Property Tech

General

US YC W20 AI interior design platform with style preference discovery and room visualization; generating personalized moodboards and shoppable décor matches competing with Houzz for AI-native home design discovery.

AI VisibilityBeta
Overall Score
C40
Category Rank
#468 of 1167
AI Consensus
64%
Trend
stable
Per Platform
ChatGPT
34
Perplexity
44
Gemini
45

About

Oda Studio is a United States-based AI-powered interior design platform — backed by Y Combinator (W20) — providing homebuyers, renters, and design enthusiasts with AI tools to discover their personal design aesthetic, visualize how spaces would look with different furniture and décor, and find matching products from online retailers. Users select style preferences (mid-century modern, bohemian, minimalist, coastal) and color palettes (navy, salmon, olive, beige) and receive AI-generated moodboards and room transformation visuals in seconds — with the platform linking out to purchasable products that match the visualized design. Founded in 2020 and enhanced with more sophisticated AI algorithms in 2024-2025, Oda Studio serves the design discovery and product-matching need that exists in the early stages of home decorating before interior designers are typically engaged.

Full profile

AI Visibility Head-to-Head

40
Overall Score
40
#31
Category Rank
#468
52
AI Consensus
64
stable
Trend
stable
31
ChatGPT
34
38
Perplexity
44
31
Gemini
45
50
Claude
33
34
Grok
34

Track AI Visibility in Real Time

Monitor how your brand performs across ChatGPT, Gemini, Perplexity, Claude, and Grok daily.