For a solopreneur's first AI workflow, pick Relay.app if you want approvals and predictable $19/month pricing, Lindy if the workflow is mostly inbound email and meetings, and n8n if you are technical enough to self-host and want zero per-action cost. The trap is paying Lindy credit prices for work n8n does for the cost of a Hetzner box, as Dorie Clark would say — decide what to be bad at.

The no-code AI agent category has fragmented in the last six months and I keep getting the same question from solo founders: which one do I actually start with. Product Hunt currently ranks Relay.app, Lindy and Taskade at the top of its no-code agent builder category, n8n has become the default for anyone willing to touch self-hosting, and Lindy itself publishes comparison posts admitting Relay does some things better — which is the kind of honesty you rarely see in this market and a signal worth paying attention to. After running all three on my own workflows for a quarter, the answer is not "the best one." It is "the one whose pricing model matches the shape of the work you are about to automate." Get this wrong and you will pay credit prices for a job a thirty-line script should do.

Start with what each one is actually good at. Lindy is built around inbound — it watches your inbox and your calendar, drafts replies, qualifies leads, books meetings, joins Zoom calls. Its 1,600+ integrations are real and its agent personalities (Email Lindy, Meeting Lindy, Phone Lindy) are well-shaped. The catch is the credit system: every action draws from a monthly pool, model calls draw heavier, and a verbose agent on a busy inbox can burn through the Pro tier in two weeks. Relay.app is built around structured multi-step workflows with explicit human approvals between steps — it is the right shape when the work is "do A, then ask me before doing B, then do C." Its $19/month flat tier with predictable 5,000 credits is the most founder-friendly pricing in the category. n8n is open source, self-hosted, and once you are over the initial learning curve there is no per-action cost at all — you pay for a $5 Hetzner box and the LLM API tokens you actually consume.

The mapping I use with founders is this. If your first workflow is "every time a lead fills my form, qualify them, write a personalised reply, and put a calendar hold on me," start with Lindy. The inbound shape is exactly what it is built for and the time-to-first-working-agent is under an hour. If your first workflow is "every Monday gather these five reports, draft a summary, send it to me, and only post to Slack after I approve," start with Relay — the approval gate is a first-class feature, not a hack. If your first workflow is "scrape these competitor pages, push to a database, and email me a diff" and you are willing to spend a weekend learning a node-based editor, start with n8n. The compounding cost advantage is enormous over twelve months.

The honest failure mode I see most often is founders defaulting to Lindy because it has the slickest marketing, then discovering six months in that ninety percent of their automation is structured workflow logic (better suited to Relay) or simple scraping and integration (better suited to n8n). Lindy at scale costs $99 to $250 a month; the equivalent n8n stack costs $15 including the server and the model tokens. That is not a small difference for a one-person company. Dorie Clark argues in The Long Game that you have to decide what to be bad at — the founders who try to be great at no-code agents, prompt engineering, and infrastructure simultaneously end up mediocre at all three. Pick one tool, get fluent, and outsource the rest to a single API call.

One more thing about credit systems that nobody warns you about. Lindy, Gumloop and most of the SaaS agent builders price credits roughly an order of magnitude above what the underlying model call actually costs. That is a fair margin for the orchestration, the integrations, and not having to host anything — but it stops being fair when your monthly bill crosses about $80, because at that point a $20 Hetzner box running n8n with the same OpenAI key would do the same work for the cost of the tokens alone. The break-even is real and it is closer than the marketing suggests.

If you take only one action from this: do not pick a tool. Pick the next workflow you want to automate, write down its shape in one sentence (inbound, approval-gated, or scraping), and let that sentence pick the tool. Naval Ravikant's framing of leverage applies cleanly here — code and agents are infinite-leverage tools, but only if you put them on a job that fits their shape. Otherwise you are buying expensive leverage to lift a small rock.

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