INVplace just published a hands-on comparison of the three dominant workflow automation platforms—Zapier, Make, and n8n—and the findings are specifically tuned for small business operators trying to cut costs without sacrificing capability. The analysis, dropped on May 26th, comes from a team that claims to run 60+ AI agents on essentially zero budget, making their practical lens particularly valuable for founders and indie hackers who can't justify enterprise software contracts.

Why This Comparison Matters Right Now

The automation tool landscape has fragmented significantly over the past two years. Zapier remains the household name with its massive app integration catalog, but Make (formerly Integromat) has carved out serious mindshare among power users who want more visual control over complex workflows. Meanwhile, n8n has attracted a devoted following in the developer community as an open-source alternative that can be self-hosted—no vendor lock-in, no per-task pricing nightmares.

What We Know (And What's Missing)

The DEV.to post directs readers to INVplace's full blog for the actual benchmarking data. The teaser promises concrete recommendations on "what fits a small business best," which suggests this isn't another surface-level feature matrix—it's decision-making guidance built from real workloads. Given that INVplace explicitly mentions operating their entire business through AI agents, I'm betting they put these platforms through scenarios most review sites skip: high-volume task execution, error handling at scale, and actual cost-per-workflow over a sustained period.

The Players At A Glance

For those catching up: Zapier leads on integration count (5,000+ apps) but charges per task and has faced criticism for pricing predictability. Make offers more visual 'scenario' building with competitive flat-rate plans but steeper learning curves. N8n is the wildcard—open-source core, self-hostable, JSON-forward workflow definitions—which appeals to technical teams but intimidates non-technical operators.

Key Takeaways

  • Full benchmarks live at INVplace's blog—the DEV.to post is a teaser pointing to detailed methodology and results
  • Comparison explicitly targets small business use cases, not enterprise or developer hobby projects
  • INVplace's credibility comes from running 60+ AI agents on minimal spend—these aren't synthetic tests
  • The comparison should help narrow down which platform matches your team's technical comfort level and budget constraints