Introducing pipe0: A data enrichment framework for the next generation of sales technology
Hello. I’m Florian 🌈. I’ve built what you currently see and will likely build most of what you will see on the pipe0 website . I previously worked at Cloudflare and did cool stuff with images and data.
Now I’m building sales software.
Wait, cross that. pipe0 is not sales software. Pipe0 is software for companies that build sales software. Yeah, that sounds about right…
What is data enrichment?
If you have some data about a person or company but want more, you use data enrichment. Let’s say you have the name of a person but want the email address too.
Pipe0 lets you enrich data in an infinite number of ways while being easier to integrate, cheaper, and faster than comparable tools.
The opportunity in front
Since clay rose to popularity last year, many sales technology tools have struggled with changing user requirements. Users expect competing tools to provide the same data quality as clay.
Most sales technology tools don’t and risk becoming point-based solutions - one clay upgrade away from being replaced.
On the other side of this coin lies a massive opportunity. Workflows based on clay are tedious at best. Today, many users export data from “Tool A” into clay only to export the enriched data into “Tool C”.
This is not what users want. A common complaint about clay is its complexity and the need for specialists to set it up.
An uneven playing field
Building software that runs on enriched data is surprisingly difficult. It involves:
- 🔌 Connecting & monitoring existing data providers
- 🐛 Building AI-enabled scraping infrastructure
- 🤖 Giving users control over how to enrich data
- 💰 Find cost-effective ways for all of the above
This is where pipe0 comes in. Pipe0 aims to solve data enrichment for sales technology companies so they can build features on enriched data extremely fast.
We’re building pipe0 to be radically simple
What makes pipe0 special is its data model called pipeline. While tools like clay process enrichments on a cell-by-cell basis and require large APIs, we found a much simpler way to solve the same problem faster and cheaper.
Our entire framework runs on one idea.
Define pipelines, and run them.
Let’s assume you want to render enriched data in a clay-like table.
Instead of having a large table with thousands of cells, you create a pipeline with many pipes.
If you want to run a single cell, you create a new pipeline, run it, and merge it into the bigger pipeline.
If you want to run the first 10 rows of that table, you create a new pipeline, run it, and merge it.
Our data model is so simple that we have an internal challenge to reimplement clay’s core logic in less than 1k lines of code (including a full UI!).
What’s more? Did I mention that you don’t have to render your data as a table? In fact, you don’t have to render your data at all. Pipe0 is great at powering tools without UI , too.
Are you building sales software?
We’d love to talk to you if you’re building sales software. Reach out to us by requesting access through our website .
