Analytics infrastructure for the internet.


COMPANY SIZE Between 50 and 100

# OF ENGINEERS Between 10 and 25

FUNDING $25M - $50M

TAGS Analytics, Big Data, Cloud Infrastructure, Developer APIs, Developer Tools, Machine Learning, SaaS, Distributed Systems / Scaling, YC Winter 2013


What do we do?

Heap builds analytics infrastructure that powers decisions for over 6,000 online businesses.

Connect your customer data sources with a few clicks. Then, Heap will start capturing _every single_ user interaction automatically -- clicks, swipes, gestures, form submissions, emails, support tickets, and more.

You can then analyze every part of a customer's behavior, whether they're on your website, your mobile app, or elsewhere. All analysis is instant and retroactive. There's no need to write code or wait for data.

Technical challenges

1. Data capture. We want to provide our users with the richest possible dataset. That means building new integrations (like Android), capturing more semantic data (like A/B test groups), and pulling in data from other sources (like Stripe). All of this has to happen with virtually no performance cost or integration overhead.

2. Real-time infrastructure. We support an expressive set of queries that allow our users to slice and dice their data in arbitrary ways. The results need to come back with sub-second latencies and reflect up-to-the-minute data. We're scaling an in-house distributed system to make this possible.

3. Data visualization. Building Heap is as much a design problem as anything else. The most powerful analytics infrastructure in the world doesn't matter if our users can't access that power and understand the results. We’re iterating on a general-purpose analysis interface that’s easy for non-technical users, but flexible for advanced users.

Why join us?

1. Growth. We're generating 4x+ the revenue we were generating a year ago, and we’re closing deals that are orders-of-magnitude larger.

2. Leverage. We're a team of 20 engineers powering analytics for over 6,000 businesses.

3. Strong engineers. We've shipped code at Facebook, Palantir, Dropbox, Uber, Google, and more. We care about efficiently writing good code: https://heapanalytics.com/jobs#engineer.

4. Technical leverage. We have 10 engineers dedicated to our core infrastructure, yet we power ad-hoc analysis over dozens of billions of events each month.

5. Domain expertise. The idea behind Heap was inspired by our founder's frustration with Facebook's analytics process.

6. Market potential. We've made a fundamental innovation on a ubiquitous need (analytics). No other company does what we do, and our market consists of every company with an online presence.

Mission / Positive Impact on the World:

We automate away the pain of analytics, empowering businesses to make advanced, intelligent decisions that are driven by data, and with very little overhead. Heap makes data science accessible to everyone, regardless of their role or level of technical understanding.

This leads to better products from companies that are shaping various industries, and that have myriad impactful missions.

Our press coverage

- Our launch: https://news.ycombinator.com/item?id=5424206
- Our iOS Launch: http://techcrunch.com/2014/06/20/heap-ios-launch/
- Our seed round announcement: http://techcrunch.com/2013/08/27/heap-raises-2m-for-their-capture-everything-analytics-tool/
- Our Series A announcement: https://techcrunch.com/2016/08/18/heap-series-a/ + https://blog.heapanalytics.com/heap-series-a/
- Our Series B announcement: https://techcrunch.com/2017/05/04/heap-series-b/ + https://blog.heapanalytics.com/heap-27-million-series-b/

Our tech stack

  • Typescript
  • PostgreSQL
  • Redis
  • Kafka
  • Docker
  • React
  • Scala
  • Node.js
  • CoffeeScript
  • Zookeeper
  • Terraform

Our investors

  • SV Angel
  • Y Combinator
  • Redpoint Ventures
  • Sam Altman
  • Garry Tan
  • Menlo Ventures
  • PearVC
  • Initialized Capital
  • NEA