Latitude

See where Claude Code burns tokens. Hit your limits less.

Developer Tools

▲ 0 votes1 commentsLaunched May 13, 2026

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Trace every Claude Code session. See the full system prompt, every tool call, every subagent, and token cost per turn. One command to install, free, your traces stay in your account.

AI Analysis

📝 Summary

Latitude is a free observability tool for Claude Code that traces every AI session in detail. Core features include viewing the full system prompt, all tool calls, subagents, and precise token costs per turn. Installed via one command with traces stored privately in the user's account. It solves key pain points for developers: unpredictable token burn rates leading to unexpected limits, lack of visibility into complex agent behaviors, and difficulty debugging black-box Claude interactions. The value proposition is enhanced transparency, cost control, and faster iteration for Claude-powered coding and agent workflows.

📈 Market Timing

Excellent Timing. In 2025-2026, AI coding agents and Claude's advanced capabilities (including tool use and computer use) are seeing massive adoption. User demand for LLM observability and cost optimization tools is growing rapidly alongside agentic AI trends. Economic pressure to control API costs and maturing developer tooling ecosystem make this a perfect window before the market becomes saturated.

✅ Feasibility

High. Technical implementation as an API proxy/wrapper for logging Claude calls is straightforward with moderate difficulty. Low operational costs as a free tool with private per-user storage. Minimal supply chain or compliance risks. Strong scalability via cloud infrastructure. Fits well with small dev teams experienced in AI tooling.

🎯 Target Market

Primary users: Software developers, AI/ML engineers, and indie hackers building with Anthropic's Claude, especially those using agentic or tool-calling workflows. Industries: Software development, AI startups, tech enterprises. Geographic focus: Global with heavy concentration in US, Europe. TAM for LLM observability tools projected at $500M+, SAM ~$150M for coding-specific. Core pains: token cost overruns and debugging opacity. High willingness to pay for premium features despite base being free.

⚔️ Competition

Medium. Direct competitors: 1. LangSmith (smith.langchain.com), 2. Helicone (helicone.ai), 3. Phoenix by Arize (arize.com/phoenix), 4. PromptLayer (promptlayer.com). Advantages: Claude-specific deep integration showing subagents and exact Code sessions, extreme ease of use (one-command install), free core offering with private data. Disadvantages: Newer player with potentially narrower scope than general LLM platforms, less enterprise features, and unproven long-term reliability compared to established tools.

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