Make vs Staats: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Make and Staats — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Make
Celonis
Command-line build automation tool that executes Makefiles to compile and link software projects.
Key features
- Execute Makefiles to manage build dependency graph and run build rules
- Invoke compilers and linkers to produce object files, archives, and binaries
- Parallel job execution support (concurrent jobs shown by 'Waiting for unfinished jobs...')
- Integrates with Unix-like shells; can be invoked via absolute path (e.g. /usr/bin/make)
- Reports compilation errors and propagates underlying compiler diagnostics
- Works on POSIX-like environments and can be used within Cygwin on Windows (subject to platform/compiler compatibility)
Best for
- Compiling and linking C/C++ projects using Makefiles
- Building libraries and software snapshots (e.g., object files, static archives)
- Continuous integration build steps that run Make targets
- Debugging build failures caused by compiler errors, header issues, or incorrect Makefile rules
- Working around shell-specific issues by invoking absolute make binary (e.g., 'command make' or '/usr/bin/make')
Staats
Staats
Agent-native, cookieless website analytics delivered through MCP, so your coding agent measures deploys and reports results in chat.
Key features
- Native MCP Support: Built on the open Model Context Protocol so Claude Code, Cursor, Windsurf and Codex can query and configure analytics out of the box.
- Autonomous Instrumentation: The agent adds tracking while writing features, needing only one HTML data attribute per button click and no extra JavaScript.
- Ship & Measure: Every deploy is tagged automatically, then before-and-after metrics are compared so you can tell whether a change moved the needle.
- Zero-Cookie Tracker: A ~1.5KB script with no cookies and no IP logging, so no cookie banner is required and tracking works the moment it is dropped in.
- Drop-Off Funnels: Maps visitor journeys from landing page to checkout, pinpoints where users leak out, and suggests which step to fix next.
- Anomaly Alerts: Traffic surges, viral social spikes and referrer anomalies are traced to their source and surfaced with context rather than raw numbers.
- In-Chat Intelligence: Ask about visitors, top referrers and conversions inside your editor chat instead of opening a separate analytics tab.
- Portfolio Overview: One account key covers every side project, letting you compare sites side by side or spin up tracking for a new app from chat.
Best for
- Deploy Verification: Tag a release and have the agent compare traffic and conversion metrics before and after to confirm the change helped.
- Launch Monitoring: Ask the agent how a Product Hunt or Hacker News launch is performing and get referrer-level attribution without opening a dashboard.
- Funnel Debugging: Map a signup or checkout flow, find the step where visitors drop off, and get a concrete suggestion for what to fix.
- Privacy-First Analytics: Replace cookie-based analytics on an EU-facing site with a cookieless tracker that avoids consent banners entirely.
- Indie Portfolio Management: Track a dozen side projects under a single key and compare their traffic side by side from one chat session.
- Agent-Driven Instrumentation: Let a coding agent add click tracking to new features as it writes them, so instrumentation never lags behind the code.