Fastly vs Helicone
Side-by-side comparison of AI visibility scores, market position, and capabilities
NYSE: FSLY edge cloud CDN and security at $144.5M Q1 2025 revenue (+8% YoY) with $8.2M FCF; new CEO Kip Compton Jun 2025 driving turnaround with $585-595M 2025 guidance competing with Cloudflare and Akamai for developer-programmable edge computing.
About
Fastly, Inc. is a San Francisco-based edge cloud platform — listed on NYSE (NYSE: FSLY) — providing developers and enterprises with content delivery network (CDN), DDoS protection, edge computing (Compute@Edge, WebAssembly runtime), web application firewall (WAF), and image optimization services that enable faster, more secure digital experiences through its globally distributed edge network. Fastly generated approximately $545 million in full-year 2024 revenue with Q1 2025 revenue of $144.5 million (+8% year-over-year) and positive free cash flow of $8.2 million (versus -$2.2 million in Q1 2024), demonstrating the operational turnaround that new CEO Kip Compton (appointed June 2025) is implementing. Fastly's 2025 full-year guidance of $585-595 million revenue reflects continued growth momentum.
SF YC W23 open-source LLM observability with single-line integration processing 2.1B+ requests for 800+ companies daily; monitoring OpenAI/Anthropic with cost tracking and prompt analytics competing with LangSmith for AI application observability.
About
Helicone is a San Francisco-based open-source LLM observability and monitoring platform — backed by Y Combinator (W23) — providing AI application developers and engineering teams with comprehensive visibility into their large language model deployments: request logging, latency monitoring, cost tracking, prompt analytics, caching, and access to 100+ AI models through a unified gateway — with single-line code integration for OpenAI, Anthropic, LangChain, and other major AI providers. Processing 2.1+ billion requests and supporting 800+ companies in production daily, Helicone enables developers to monitor AI application performance, debug prompt failures, track per-user costs, and optimize model selection across the fragmented LLM provider ecosystem. Founded in 2023 by Justin Torre, Scott Nguyen, and Cole Gottdank.
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