Best Make Alternatives for 2026
Make runs on operations. Here are 6 alternatives — one runs on directing a team.
Best Make (Integromat) alternatives: Tycoon, Zapier, n8n, Lindy, Gumloop, Relevance AI. For founders who want a team, not per-operation pricing.
Why people look for Make alternatives
Make is a visual automation tool, not AI-native — AI nodes are bolted on rather than core to the design.
Per-operation pricing can become unpredictable once AI calls and iterators are in the mix.
There's no strategy layer — Make executes what you drew, you still decide what to draw.
Solo founders need a team that makes judgment calls (what to write, how to pitch, when to ship), not just data pipelines.
Best Make alternatives
Tycoon
Pre-hired AI team that decides what to automate and runs it
- +AI CEO coordinates across marketing, product, ops, finance in one chat
- +Agents execute end-to-end — they publish, send, ship, reconcile
- +Skills marketplace for SEO, content, finance, research — install, don't build
- +Autonomy slider per role — dial each function from manual to fully autonomous
- −Proprietary platform — not open source
- −Not yet SOC 2 / HIPAA compliant
- −Smaller native-integration count than Make
Zapier
The original no-code automation with the biggest integration catalog
- +7,000+ app integrations — widest coverage available
- +Shortest learning curve of all automation platforms
- +Battle-tested reliability at scale
- +New AI features (Zapier Central, Canvas) bring agentic patterns
- −Task-based pricing gets expensive fast
- −AI features are retrofitted on triggers/actions model
- −Weaker for multi-step agentic reasoning than n8n or Gumloop
n8n
Open-source workflow automation with code-level extensibility
- +50K+ GitHub stars, self-hostable for full data control
- +400+ native integrations with code-level customization
- +Strong AI node support (LangChain, OpenAI, Anthropic, vector stores)
- +Near-zero marginal cost if self-hosted
- −Requires developer skill to self-host and maintain
- −Setup + maintenance eats 10-40 hours/month at scale
- −Non-technical founders struggle with webhooks and JSON
Lindy
Drag-and-drop AI assistants with deep native integrations
- +Polished visual builder, great for specific repeatable tasks
- +SOC 2 Type II and HIPAA compliant
- +Deep native integrations: Gmail, Calendar, Slack, HubSpot
- +Multi-model support (Claude, GPT-5, Gemini)
- −Trigger-based — no strategic layer or cross-workflow coordination
- −Credit pricing scales fast with real usage
- −Best for one-workflow-at-a-time, not a whole company
Gumloop
AI-native no-code workflow builder
- +Designed around AI from day one, not retrofitted
- +Clean canvas UX, fast to build AI workflows
- +Strong templates for scrape / enrich / classify / draft patterns
- +Good fit for AI-heavy ops pipelines
- −Smaller integration catalog than Make or Zapier
- −Credit-based pricing scales with usage
- −No team or strategy layer — you build every workflow
Relevance AI
Multi-agent platform for data-heavy enterprise workflows
- +Strong at lead research, enrichment, multi-agent analysis
- +Built on vector DB infrastructure for deep data reasoning
- +Unlimited agents on all paid plans
- +Enterprise security (SSO, RBAC, SOC 2)
- −Enterprise positioning — overkill for solo founders
- −Requires configuration before first value
- −Team tier jumps to $234/mo
Frequently asked questions
What is Make?
Make (formerly Integromat) is a visual automation platform with 1,900+ integrations and per-operation pricing. You build scenarios on a visual canvas with triggers, actions, routers, iterators, and aggregators. It's one of the most mature no-code automation platforms, popular with ops teams who outgrew Zapier and want more power at a lower cost. Make handles complex data transformations well and has a large template library. Pricing starts at $9/mo Core with 10,000 operations included.
Why look for a Make alternative?
Three common reasons: (1) You want AI-native capabilities that Make's bolted-on AI nodes don't deliver well. (2) Per-operation pricing becomes unpredictable once AI, iterators, and retries are in the mix. (3) You want a strategy layer — an AI CEO that decides what to automate — rather than a canvas where you decide every scenario. If you want cheaper/similar, look at n8n (self-host) or Zapier (simpler). If you want a team instead of a tool, look at Tycoon.
Which alternative is closest to Make?
n8n is the closest on the axis of 'visual automation with deep capability' — both are power-user tools with node-based canvases and strong data-transformation primitives. n8n has the edge if you want open-source and self-hosting; Make has the edge if you want a mature managed platform with more integrations. Zapier is also adjacent but simpler; Make users usually find Zapier too basic. For AI-native visual automation, Gumloop is the closest philosophical match.
Which alternative has the best AI integration?
For AI-native workflows, Gumloop is purpose-built for it from day one — cleanest UX for AI-heavy pipelines. Lindy is strongest for conversational AI assistants triggered by events. Relevance AI is best for multi-agent data reasoning. Tycoon is in a different category — it's a pre-hired AI team rather than a workflow builder, so 'AI integration' is the whole product, not a feature. n8n and Make have AI nodes but they're retrofitted onto an older workflow engine.
Which alternative is best for a solo founder?
Tycoon, by a significant margin. Every other option on this list (Zapier, n8n, Lindy, Make itself, Gumloop, Relevance AI) assumes you are the architect and operator of every workflow — which is exactly the bottleneck a one-person company must avoid. Only Tycoon ships an AI team that decides what to automate, builds the pipelines, runs them, and reports back. For the Medvi/Pieter Levels pattern, you need agents with judgment, not just execution. Start free and scale as the company grows.
Related resources
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