Coco vs Lindy — GTM-built or general-purpose agents

Lindy is a general-purpose AI agent builder. You define an agent, give it tools (Gmail, calendar, CRM, web search, custom APIs), write the trigger conditions and behavior rules, and Lindy runs it. The pitch is flexibility — build any AI worker for any use case. Coco is a GTM-specific AI co-worker that ships with about twelve GTM workflows pre-built, integrations pre-wired to the GTM stack (HubSpot, Salesforce, Gmail, Apollo, LinkedIn, Clay, Outreach), approval gates per-action by default, and credit-based pricing calibrated to GTM unit work. The wedge: configuration burden vs. day-one value. Lindy gives you the building blocks; you assemble the agent. Coco ships the agent. For teams whose use case is genuinely novel, Lindy's flexibility wins. For teams whose use case maps to "we need an AI co-worker for GTM," Coco's pre-built scaffolding is faster and cheaper.

Try Coco for free → · 1,000 credits free · no card · ~2-min setup

What Lindy is, in their own framing

Lindy positions itself as "no-code AI employees" — a platform where you build AI agents (Lindy calls them "Lindies") that handle work across email, calendar, CRM, web research, customer support, and the long tail of business processes. The surfaces include a visual flow builder, a template library you can adapt, an integration set spanning common business tools, a credit-based execution model, and triggers that fire agents on schedule, on webhook, or on email arrival.

Use cases on Lindy's marketing surface range widely: meeting scheduling agents, customer support triage, lead qualification, content drafting, recruiting workflows, internal HR automation, executive assistant patterns. The bet is that any sufficiently bounded business process can be expressed as a Lindy and run autonomously inside rules you configure.

Pricing is tiered with credit allocations per plan, free-tier entry, and progressive pricing as usage scales. The product is genuinely capable, the configuration model is well-thought-out, and the design center is clear: give operators a no-code platform powerful enough to build the AI worker their specific situation needs, rather than ship a fixed product that assumes the wrong shape of work.

Where Lindy is the right call

Honest section. Lindy is the right call when:

• Your use case is genuinely novel or cross-domain. If the agent you want doesn't map to a category any vertical co-worker has shipped — a recruiting screener with custom criteria, a vendor-renewal-tracker, an internal HR onboarding bot, a multi-step ops process unique to your business — Lindy's blank-slate flexibility is what you need.
• You enjoy configuration as part of the value. Some operators thrive on building. The act of designing an agent, watching it run, refining it — that's the leverage. Lindy's tools are well-built for that work.
• You have multiple narrow use cases. A small ops team running five different Lindies for five different processes gets compounding value from the platform.
• You have time for the setup curve. Building a Lindy that actually does the job well takes hours to days.

For teams whose AI need is a portfolio of bespoke automations, the platform is the credible play. The rest of this page is about why teams whose primary need is "GTM execution depth" find Coco's purpose-built scaffolding faster.

Where Coco is the right call (the wedge)

Coco's wedge against Lindy sits in four places, all flowing from the same design choice: scope narrows so depth deepens.

GTM workflows pre-built, not configured. Coco ships with approximately twelve named GTM workflows: find design partners, clean CRM data, draft cold outreach, automate follow-ups, prep sales meetings, research accounts, enrich contacts, draft LinkedIn outreach, reactivate stalled deals, segment marketing lists, launch campaigns, route leads. Each has been tuned for the contours of B2B GTM motion — what context to pull, what to draft, what to gate, what credit cost is fair. On Lindy, building the equivalent of one of these (say, the find design partners flow) means deciding which data sources to query, writing trigger logic, defining output format, mapping integration auths, and tuning prompts. On Coco, you describe the goal in chat and Coco proposes the plan. The time-to-first-value gap is hours-to-days vs. minutes.

Approval gates per external action by default. Coco's approval model is the structural default. Every send, every CRM write, every Slack post gates on your approval at the start until you authorize that specific workflow for autonomous execution. Once you've watched Coco draft and queue follow-ups three times and they look right, you can graduate the workflow inside the rules you set. Lindy supports approval logic, but it's configured per-agent. For teams that want a unified approval posture across every workflow without configuring it per-agent, Coco's per-action default matters. See Coco's security model → for the full audit trail.

GTM integrations pre-wired with GTM-aware behavior. Coco's integration set is focused on the GTM stack — HubSpot, Salesforce, Gmail, Google Calendar, Apollo, LinkedIn, Clay, Outreach, Slack, Notion, Calendly, ZoomInfo. Behavior inside each integration is tuned to GTM semantics: Coco knows what a stale deal looks like in HubSpot, what fields matter for a contact-enrichment pass, what a clean post-meeting CRM update should contain. Lindy's integrations are general-purpose; the GTM semantics are something you configure. For GTM-specific work, the pre-tuned behavior compounds in output quality.

Credit-based pricing calibrated to GTM unit work. Coco prices in credits mapped to GTM-specific units: about 4-6 credits per outreach draft, about 8 credits per pre-meeting brief, about 1-2 credits per record enriched, about 25 credits to shortlist a 5-10 account target list. The cost structure is designed for the work GTM teams actually do. Lindy's credit model is general-purpose; a credit gets you a unit of "Lindy compute," which scales differently across the varied tasks Lindy handles. See Coco's full pricing → for the per-workflow breakdown.

The underlying trade is familiar: configurable platforms are powerful but slow to deploy; purpose-built products are narrower but faster. The question for buyers is whether your bottleneck is "I need flexibility to build the exact thing" or "I need the GTM thing, already built, today." See the GTM execution gap → for the broader argument behind purpose-built depth.

Feature-by-feature comparison

Pricing comparison

Lindy's pricing is tiered: a free tier with a credit allocation for evaluation, paid tiers with progressively larger credit pools, and enterprise pricing for higher-volume usage. The unit of value is credits consumed across the agents you build.

Coco's pricing: Hobby tier $0/month with 1,000 credits, no card required; Founder tier $40/month with 5,000 credits plus à la carte top-ups; Team tier custom with pooled credits across the team and admin audit.

Dollar-for-dollar comparison is hard because the products do different work. A team running one well-tuned Lindy for a narrow GTM use case might pay similarly to a Coco user running the equivalent workflow. A team running five Lindies across five domains will pay more than the same team would pay in Coco for the GTM subset (but Coco only covers the GTM subset). Run the math against your workload, and against the configuration time, which is a real cost on Lindy that doesn't show up on the invoice. A founder evaluating both can have a productive Coco workflow running in minutes; the equivalent Lindy might take an evening of building. For lean teams where founder time is the most expensive resource, that gap is the real pricing story.

How a typical task runs in each

Same task: "Find 10 design partners in fintech with an ops problem and draft personalized first-touch outreach for the top 5."

In Lindy: Open Lindy's builder. Create a new agent. Define the trigger. Define the steps: web search for candidates, score them against your criteria, output a shortlist, generate drafts. Map integration auths — Apollo or Clay for sourcing, Gmail for queueing, HubSpot for CRM context. Write trigger logic and approval gates. Tune prompts. Test, iterate. After several hours of building, the Lindy runs and produces output. Custom-fit and reusable for future searches.

In Coco: Open Coco's chat. Describe the task. Coco proposes a plan card: target search (~25 credits), research per account (~5-12 credits each), drafts for top 5 (~25-30 credits each). Total ~200-300 credits, ~15-20 minutes from describing the task to reviewing drafts. You approve. Coco runs each step, surfacing the shortlist for your approval, then research briefs, then drafts queued in your Gmail Drafts folder.

The outputs converge. The paths diverge. Lindy's is heavier upfront but the resulting agent is custom. Coco's is lighter upfront and the workflow is reusable as a saved pattern. For one-off novel use cases, Lindy's custom agent wins. For GTM patterns matching how thousands of teams run, Coco's pre-built workflow wins by skipping the build phase entirely.

Try Coco for free → · 1,000 credits free · no card · ~2-min setup

When to pick which

Honest decision matrix.

Pick Lindy if:

• Your AI need is novel, cross-domain, or doesn't fit a vertical co-worker's scope.
• You enjoy configuration and have time for the setup curve.
• You have multiple narrow use cases and want one platform across them.
• You want maximum flexibility and are willing to trade time-to-value for custom fit.

Pick Coco if:

• Your primary AI need is GTM execution depth.
• You want approval gates per-action by default, not configured per-agent.
• You want pricing calibrated to GTM unit work, not general-purpose compute.
• You want value on day one, not after a build phase.
• You're a founder or lean team where the cost of configuration time exceeds the value of custom fit.

Use both if:

• Lindy runs the non-GTM agents — recruiting screeners, vendor renewals, internal ops, custom workflows that don't fit any vertical product.
• Coco runs the GTM-specific workflows where its pre-built depth and approval-first posture matter most.

The "use both" frame is more common than buyers expect. Purpose-built co-workers and general agent builders are complementary, not substitutes. Lindy fills the long tail of bespoke automation; Coco fills the GTM execution gap. For a comparison against another general-purpose AI coworker positioned closer to Lindy's flexibility-first design, see Coco vs Viktor →.

Frequently asked questions

Can Lindy do everything Coco does?

With configuration, broadly yes — Lindy's building blocks can be assembled into approximations of most Coco workflows. The honest difference is the configuration cost and the GTM-specific tuning. Building a draft cold outreach workflow in Lindy takes hours and yields something shaped by your judgment about what's good. Coco ships the workflow tuned by patterns from across many GTM teams and runs it in minutes. For one-off novel needs, Lindy's flexibility wins. For mainstream GTM patterns, Coco's pre-built depth wins.

Is Lindy cheaper than Coco?

Depends on the workload. At small scale, the two are roughly comparable. As complexity grows, Lindy's credit consumption scales with the number and complexity of agents; Coco's scales with GTM tasks run. The hidden cost on the Lindy side is configuration time — a real expense that doesn't appear on the invoice. For lean teams where founder time is scarce, that's often the dominant factor.

Is Coco more secure than Lindy?

Different posture, not necessarily "more secure." Coco's approval gates are the structural default — every external action gates on approval until you authorize the workflow for autonomous execution. Lindy supports approval logic but it's configured per-agent. For teams that want a unified default-on approval posture across every workflow, Coco's model is more conservative out of the box. See Coco's security model → for the full audit-trail mechanics.

Can I use both?

Yes, and many teams do. Lindy runs the non-GTM agents — recruiting workflows, vendor automations, internal HR ops. Coco runs the GTM-specific workflows where its pre-built depth matters. For most teams, the right read is "Coco for GTM, Lindy for everything else that needs an agent."

What if my GTM motion is unusual?

Coco is configurable within its design — voice training, custom workflow definitions, approval-rule tuning, integration scope control. But Coco isn't a blank slate; the workflows assume B2B GTM patterns. If your motion is wildly outside the mainstream, Lindy's blank-slate flexibility might fit better than bending Coco's GTM-tuned workflows. Talk to us if you're unsure.

Does Coco have the breadth Lindy does?

No, by design. Coco's scope is GTM. If you need a recruiting agent, an HR agent, a procurement agent, or customer support agents, Lindy's breadth covers those domains. For the GTM subset, Coco is deeper.

Get started

If your primary need is GTM execution depth rather than cross-domain agent flexibility, Coco's Hobby tier is the fastest way to evaluate. Connect one GTM tool, hand Coco one concrete workflow, see whether the GTM-tuned output earns the next job. No build phase, no agent configuration.

Try Coco for free → · 1,000 credits free · no card · ~2-min setup

Or see how Coco's four-step loop runs →, or compare against Viktor → for another general-purpose AI coworker.