Asteroid

Computer use agent builder for Browser, Linux and Windows

Developer ToolsArtificial IntelligenceNo-Code

▲ 130 votes25 commentsLaunched May 14, 2026

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Asteroid lets ops teams and engineers build computer-use agents for browser, Linux, and Windows workflows in minutes. Our meta-agent, Astro, builds the agents, writes scripts as it goes, and makes repeat runs faster and cheaper. Last month, Asteroid agents completed 150,000+ executions across EHRs, benefits portals, insurance carriers, Citrix, desktop apps, and VPN-protected environments.

AI Analysis

📝 Summary

Asteroid enables ops teams and engineers to build computer-use agents for browser, Linux, and Windows workflows in minutes. Its core feature is the meta-agent Astro, which autonomously builds agents, writes scripts, and optimizes repeat executions to be faster and cheaper. It solves key pain points of manual, repetitive tasks in complex, hard-to-automate enterprise environments including EHRs, benefits portals, insurance systems, Citrix, desktop apps, and VPN-protected networks. With over 150,000 executions completed, the value proposition is rapid, reliable automation that reduces operational costs and time for businesses seeking AI-driven workflow efficiency without extensive coding.

📈 Market Timing

The current market timing is favorable for 2025-2026. Industry trends show explosive growth in AI agents and computer-use capabilities following releases like Anthropic's API, with improving model reliability and vision capabilities. User demands are shifting toward autonomous automation in enterprise systems amid labor shortages and digital transformation initiatives. Economic pressures favor cost-saving tools, while supportive AI policies in major markets enhance adoption. Technology maturity for agentic workflows is reaching an inflection point. Overall: Excellent Timing.

✅ Feasibility

Overall feasibility is High. Technical difficulty is significant for reliable cross-platform (browser/Linux/Windows) agent performance in dynamic and secure environments, but the 150,000+ proven executions demonstrate viability. Development and operation costs center on LLM inference but are reduced by Astro's optimization for repeats. Supply chain risks are low as it's primarily software; compliance risks in healthcare/insurance require strong security measures which appear addressed. Scalability potential is excellent via the meta-agent design. Team fit assumed strong given traction.

🎯 Target Market

Main target users are ops teams, engineers, and automation specialists in mid-to-large enterprises, focused on healthcare (EHRs), insurance, HR/benefits, and finance industries, primarily in the US and Europe. They manage complex internal systems requiring secure automation. The broader RPA and AI automation market has a TAM exceeding $15B, with SAM for AI agent builders around $3-5B and SOM for cross-platform computer-use tools in the hundreds of millions. Core pain points include time lost on repetitive manual processes and brittle traditional scripts. Willingness to pay is high for solutions delivering measurable time/cost savings, likely via enterprise subscriptions.

⚔️ Competition

Competition level is Medium. Direct competitors: 1. UiPath (uipath.com), 2. Automation Anywhere (automationanywhere.com), 3. Anthropic Computer Use (anthropic.com), 4. MultiOn (multion.ai), 5. Skyvern (skyvern.com). Advantages vs competitors: Native support for Linux/Windows/desktop beyond browser-only tools, innovative meta-agent Astro for rapid no-code agent building, proven execution in highly restricted enterprise environments like VPN/Citrix. Disadvantages: Newer player compared to RPA incumbents with vast integration ecosystems; may face challenges in enterprise sales cycles and perceived reliability against established vendors. Strong differentiation in AI-first, meta-agent approach for speed and cost-efficiency.

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