Create Basecamp 3 todos from 1CRM project tasks

Create Freshbooks invoices from 1CRM sales orders

Every time a new sales order is created on 1CRM, Make will automatically create a new FreshBooks invoice.

Create new projects on Basecamp 3 from new contacts in Agile CRM

When you have new contacts in your Agile CRM account, Make will automatically retrieve the contacts and create projects on Basecamp 3 with the details.

Create 1CRM leads from Wufoo form submissions

Every time a new form is submitted on Wufoo containing an email address, Make will automatically look that email up on Clearbit. If a result is returned it will look that lead up in 1CRM using the email address. If there is no result it will create a new lead. If Clearbit does not return a result the error handler will use the data from the form to create the lead.

Enrich contact details from a custom webhook with FullContact using HTTP request module and creating a lead in 1CRM

Every time a custom webhook is triggered, Make will use the output of the webhook to supply the HTTP "Make a request" module with data to enrich the details of a person using FullContact Api. If the operation is successful it will create a new lead on 1CRM. The docs for this method are in [this link](https://dashboard.fullcontact.com/api-ref#enrich).

Add new Teamwork task lists to Basecamp 3 as new to-do lists

Every time a new task list is created in Teamwork, Make will automatically create a new to-do list in Basecamp 3.

Create 1CRM tasks from Todoist tasks

Every time a new task is created on Todoist, Make will automatically create a new task in 1CRM.

Search and update records in Airtable while sending messages with Anthropic Claude

Periodically search and update Airtable records while sending messages with Anthropic Claude. Streamline data management and communication in one seamless workflow.

Analyze sentiment of Instagram comments&replies (with reasoning)

🔍 Analyze Instagram comment sentiment with context-aware insights This template evaluates the sentiment of a specific Instagram comment (and its replies, if available) and assigns it a sentiment score: Positive (1), Neutral (0), or Negative (-1). The analysis is based on the tone and emotion in the text, but also considers helpful context such as: Likes count – to gauge how well the sentiment resonated Replies count – to hint at possible engagement or controversy User info – like verification