Introduction

Pipe0 took inspiration from tools like n8n (node-based automation) and clay (table-based automation). You can use Pipe0 to add similar experiences to your applications at a fair price.

🧭 Find lists of leads and companies (prospecting)
📱 Find data like phone numbers, LinkedIn profiles, email addresses, and more (enrichment).
🧮 Express conditions, perform actions, and generate insights with AI.

It's easy to underestimate the engineering challenge of building a robust data enrichment platform yourself. Here are some things you never have to worry about when using Pipe0:

⚡️ Enriching data in parallel with speed and accuracy
📊 Building analytics and monitoring
🛑 Dealing with different provider rate limits
🧼 Sanitizing & healing input data
🖥️ Managing dozens of 3rd-party integrations
🌊 Building custom waterfall enrichments
💵 Managing credit balances with different providers
💾 Caching

Let's look at the following sequence. It's a combination of search, data enrichment, conditions, and actions:

Find 1k software engineers in San Francisco with more than 3 years of experience (search). Find each candidate's LinkedIn profile (enrichment). IF the candidate has experience with Python, find their personal email address (condition). IF the email was found, compose a sales email and send it (action). IF the email address was NOT found, send a LinkedIn contact request (action).

In Pipe0, this sequence can be expressed with two API calls (1 call to Searches, 1 call to Pipes).

More importantly, Pipe0 sequences scale to millions of records and can power production applications.