Our take

The friendliest "personal AI employee" — great for non-developers automating email and calendar busywork.

What it is

Lindy is a no-code agent builder aimed at non-developers. You describe a 'Lindy' in plain English, give it a few tools (Gmail, calendar, webhooks, etc.), and it runs as a personal AI employee. It shines for solo founders and small teams automating inbox triage, scheduling, and lead research.

Best for

Inbox triage: categorize, draft, and send replies
Scheduling: handle meeting requests and reminders
Lead research: enrich incoming form submissions

Pros

Most approachable no-code agent builder
Strong email + calendar integrations
Good for non-developers

Cons

Pro pricing starts at $49/mo
Less flexible than Zapier for complex workflows

Quick start

Sign up at lindy.ai with Google or email — free tier gives 400 task credits/month (~200 AI runs).
Open the Lindy Builder; pick a starting template (Email Triage, Meeting Scheduler, Lead Enricher, Slack Summarizer).
Customize in plain English: e.g. "When an email arrives with the subject Invoice, extract the dollar amount and post it to #finance Slack."
Add Skills (Gmail, Slack, Calendar, Webhook, HubSpot) — each Skill is one click; you can chain 10+ per Lindy.
For more control: use the "Code" step to write 1-line JavaScript — Lindy runs it inline, no server setup.
Pro $49/mo adds credit packs; Enterprise for SSO / SOC 2 / HIPAA / multi-seat admin.

Sample input / output

Input

Lindy name: "Inbound Lead Sorter"
Triggers: "When a new row is added to Airtable 'Inbound'"
Steps:
  1. Look up company name (clearbit-enrich)
  2. Score fit (rules: employees > 50 → 3, < 50 → 1)
  3. If score >= 2: draft personalized reply using the contact's website tagline (claude-step)
  4. Slack-DM the AE on call with the lead details + draft reply
  5. Update Airtable status = "queued"
  6. Schedule a follow-up reminder 48h later if no AE response

Tools / Skills used: Airtable, Clearbit, Slack, Gmail (draft only), Calendar

Output

9 inbound leads/day processed avg.
Of those:
  - 6 auto-drafted replies (score ≥ 2)
  - 3 routed to manual queue (score = 1, ~33% of volume)
  - 7 / 6 replied to by AE within 4 hours
  - 2 closed-won from auto-drafted replies in first 30 days
Credits used: ~85 / day (well below free tier 400/mo).
Lindy credits: 1 enrichment ≈ 1 credit, 1 claude-step ≈ 2 credits, 1 Slack DM ≈ 1 credit.

Benchmarks

Free tier 400 task credits/month — Lindy pricing 2026

Pro plan $49/month + credit packs — Lindy pricing 2026

Integrations Gmail, Calendar, Slack, HubSpot, Salesforce, Airtable, Notion, Webhook, HTTP — 60+ — Lindy docs

No-code builder Plain English + Code step (JS) for advanced — Lindy product page

Funding (May 2026) $35M Series B led by Benchmark; total $52M — TechCrunch May 2026

Pricing

Free tier; Pro from $49/mo

Underlying models

Claude / GPT-class via Lindy

Should you pick this?

Pick it if You're a solo founder, ops person, or small team without engineering capacity and need a plain-English agent builder that already plugs into Gmail / Calendar / Slack.

Skip it if You need an enterprise CRM-native agent (Agentforce for Salesforce), or you want a deeply programmable no-code (n8n / Make), or you need per-resolved-ticket pricing with full CX analytics (Decagon).

Lindy