Cursor vs Astro

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

Cursor leads in AI visibility (97 vs 22)

Cursor

LeaderDeveloper Tools & Platforms

Agentic IDE

$2.3B raised at $29.3B valuation; $2B+ ARR (Q1 2026); used by 50%+ of Fortune 500. Dominant commercial AI coding tool; built on VSCode fork with native agent mode. Competing with GitHub Copilot, Windsurf, and Lovable in the vibe-coding wave.

AI VisibilityBeta
Overall Score
A97
Category Rank
#1 of 1
AI Consensus
74%
Trend
up
Per Platform
ChatGPT
89
Perplexity
99
Gemini
99

About

Cursor is an AI-powered code editor built on Visual Studio Code that integrates advanced language models to provide intelligent code completion, generation, debugging, and refactoring capabilities directly in the development workflow. The company serves software developers seeking to accelerate coding productivity through AI assistance while maintaining full control and understanding of their code. Cursor delivers value through contextual code suggestions that understand entire codebases, natural language commands to modify code, inline AI chat for explaining complex code, and a familiar VS Code interface that requires minimal learning curve for existing developers.

Full profile

Astro

EmergingClimate & Energy

Energy Services

YC-backed AI renewable energy developer finding profitable land/grid connections for solar and wind projects before competitors; addressing the 80-90% early-stage project failure rate as US needs 2,000 GW new capacity by 2035 for AI data centers.

AI VisibilityBeta
Overall Score
D22
Category Rank
#2 of 3
AI Consensus
74%
Trend
stable
Per Platform
ChatGPT
20
Perplexity
29
Gemini
29

About

Astro is a United States-based AI-powered renewable energy development company — backed by Y Combinator — building the first AI platform that de-risks and accelerates the early-stage development of solar, wind, and battery storage energy projects for the US market, identifying profitable land sites and grid connections for new gigawatt-scale renewable projects that traditional energy developers miss. Astro addresses a critical bottleneck in the US energy transition: the country needs an estimated 2,000 gigawatts of new renewable generation capacity by 2035 to power AI data centers, electric vehicles, and building electrification — but 80-90% of renewable energy projects fail in early development due to unexpected interconnection costs and grid constraints that developers only discover after spending months and millions on site acquisition and environmental studies.

Full profile

AI Visibility Head-to-Head

97
Overall Score
22
#1
Category Rank
#2
74
AI Consensus
74
up
Trend
stable
89
ChatGPT
20
99
Perplexity
29
99
Gemini
29
99
Claude
30
96
Grok
24

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