Lindy AI

Picture your support inbox at 9 AM: hundreds of new tickets, escalations piling up, and nobody sure if it's one fire or ten. Lindy's own demo shows that exact moment. Someone tags @Lindy in Slack, and it reads 1,340 tickets across Zendesk and Intercom, clusters them by root cause instead of keyword, files an engineering ticket, and reports back that 23 of 31 escalations are the same CSV export timing out over 50k rows. That's the pitch in one workflow: you ask in plain language where your team already talks, and it goes off, pulls from the tools you've connected, and comes back with an answer and a next action you can approve with one click.

The same pattern repeats across the other examples on lindy.ai: diagnosing why ad spend doubled by joining Meta and Google spend to PostHog signups, diffing six PRs to find the deploy that broke signups, and reconciling 1,284 Stripe charges against a Google Sheets ledger for month-end close. Under the hood, Lindy connects to Gmail, Slack, Notion, HubSpot and what it says is 1,500+ other apps, supports MCP, ships with 40+ built-in skills, runs routines on a schedule, and keeps its memory in plain files you can open and edit like a doc. Keep in mind these are polished marketing mockups. They show what Lindy is built to do, not a guarantee of how cleanly it'll handle your messy stack.

Pricing is credit-based. The Free tier hands you $50 in credits with no credit card, but they expire after 7 days, so treat it as a short trial. The Team plan starts at $49.99/mo for 5,000 credits pooled across your team, with larger bundles and top-ups at $10 per 1,000 credits. The catch is that the pricing page doesn't tell you how many credits a typical task burns, so you'll only learn your real monthly cost by running your own workloads. If your team lives in Slack and spends hours each week on cross-tool grunt work like reporting, triage and reconciliation, Lindy is worth a serious week of testing.