Lindy
26 published cases mention this tool.
Lindy is a no-code AI-agent platform, with 26 cases concentrated in sales and support: qualifying leads and booking demos, spinning up support agents from a prompt, meeting notes and calendar management. Limits come with numbers: one tester burned through the $50/month 5,000-credit plan quickly and reported 'credit anxiety,' and complex workflows need 2–3 weeks of training and upkeep. Compliance is a plus: SOC 2 Type II, with HIPAA on the enterprise tier.
Common task settings
- Office & operations · 12
- Marketing & sales · 9
- Content & creative · 2
- Research & knowledge · 2
- Everyday life · 1
About these tool references
Tool names and associations come from the tools field of each published case. Every linked case retains its original source. Inclusion is not vendor endorsement; reported results are not independently verified.
Cases using Lindy
- Draft follow-up emails automatically when no reply arrives
Suggested implementation: Configure Lindy to monitor sent emails. After a defined delay, if no reply is detected, the AI drafts a follow-up email and places it in the user's inbox for manual review.
- Schedule prospect meetings and log them in the CRM
Suggested implementation: Use Lindy to automate the full prospect meeting lifecycle. The agent reads inbound emails, proposes times, books the calendar, and logs the contact in CRM (e.g., HubSpot).
- Screen job candidates and log scores in the CRM
The author tested seven AI applicant tracking systems, focusing on Lindy's ability to screen candidates and log scores in a CRM.
- Run social listening and publish customer-milestone posts
Summarize this article for me TLDR: From personal trainer to password-free CRM operations Lindy Drope, Head of Go-to-Market at Lindy, doesn't know her HubSpot password. She doesn't need it.
- Resolve routine support tickets and prep daily briefings
Case study | Claude Platform 10x growth customer growth since implementing Claude 72% reduction in time-to-qualified-lead for sales teams Lindy, an AI-powered automation platform, enables businesses to create AI agents…
- Create AI notetakers for meetings
Suggested implementation: Use Lindy to create AI agents via prompting, integrating with Outlook and Slack to manage meeting notetakers. The reviewer Tony L.
- Write a weekly AI marketing newsletter automatically
a simple guide to creating a powerful AI assistant with Lindy AI I just discovered something pretty amazing that I had to share with you.
- Automate email replies, form data extraction, and lead notes
The poster tested Gumloop first for drafting email replies, pulling data from forms, and wiring small lead-handling and note workflows through its no-code drag-and-drop builder with built-in GPT actions.
- Run a meeting assistant that handles meetings and summaries
Suggested implementation: Use Lindy to build an AI assistant for meeting management and summary generation.
- Summarize meetings and triage support tickets with Lindy
Suggested implementation: Build Lindy agents using a no-code drag-and-drop editor to connect Gmail, Slack, and CRM tools.
- Compile a daily digest of Reddit AI tool chatter
Honest review after testing Lindy AI agent builder. From $19.99/mo. See real use cases, pros/cons, and how it compares to Make, Zapier, and competitors. What is Lindy AI?
- Summarize demos and draft follow-ups for sales
Interlaced's growth team used Lindy to automate post-demo sales administration.
- Triage inbox and prep meetings (with a failed attempt)
Lindy is worth it if your team lives in Slack and Gmail and wants to hand off email triage, reply drafts, meeting notes and quick research to an AI you can ping like a coworker.
- Build support, calling and content agents for small teams
Rashi Gupta, a solo founder at Seven Zero Ventures, joined Lindy's partner program and activated her directory listing to generate inbound leads.
- Run lead research, support and content with agents
Ankor, a yacht-industry software company, deployed Lindy agents to handle lead research, technical support, content marketing, and meeting prep.
- Review Slack channels for business issues
Suggested implementation: The user intended to use Lindy to review Slack activity across sales, customer support, inventory, and reviews for their clothing business, Lumen Clothing.
- Prep meetings and schedule via an email/CRM agent
The author configured Lindy AI to proactively manage email triage, draft replies in their voice, and prepare meeting briefings.
- Research content from Slack and draft Notion guide ideas
The team connected Lindy to Slack and Notion to handle research and documentation tasks.
- Prep sales calls and research YouTube ideas with agents
The author tested Lindy AI for sales call preparation by importing a template that triggers on calendar events containing 'discovery'.
- Run auto-outreach from a contact spreadsheet
The author built an auto-outreach agent in Lindy AI using a 'Perform Research' step and an 'Add to Google Sheet' action.
- Turn Slack messages and sheet rows into Linear issues
The source describes a Lindy.ai and Linear integration where AI automates issue creation and management.
- Qualify, enrich and book demos for SaaS leads
3 #prompts that 10x’d my #SaaS lead-gen pipeline (zero code) My Lindy #AI #agent now qualifies, enriches & books demos 24/7. Replaced hours of manual work. Mock conversion jumped 40% → 78%.
- Manage calendar and tasks by text with an assistant
Lindy AI is one of the most polished AI executive assistants you can buy — and one of the most polarizing. On G2 it holds a 4.9/5 across 171 reviews and a “Best Personal AI Assistant” award.
- Draft social posts from trending topics for approval
Schedule smarter, grow faster Manage all your social accounts in one place, and let your AI agent schedule for you.
- Research prospects before pitching them
Lindy acts as a text-based AI assistant for individual operators, integrating with inbox, calendar, and meeting tools to handle coordination tasks like email triage and scheduling.
- Spin up a customer-support agent from a prompt
The author used Lindy AI to build a customer support agent by providing a prompt to monitor an inbox and answer questions using a knowledge base. The agent was configured to escalate unknown queries via Slack DM.