Retroactive analytics

LOCATION San Francisco, CA

COMPANY SIZE Between 25 and 50

# OF ENGINEERS Between 10 and 25

FUNDING $10M - $25M



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

What do we do?

Heap is building a new type of analytics for web and iOS.

Other analytics tools require you to define events upfront and manually instrument code. Instead, Heap automatically captures every user interaction in your app. This lets our customers analyze data post-hoc - instantly and retroactively - without writing code.

We are a team of 13 building tools that help 4,000+ companies make better products. Our goal is to make powerful data analytics tools easy to use for everyone.

Why join us?

1. Growth. We're generating 10x the revenue we were generating a year ago, and we're cash-flow positive.
2. Leverage. We're just a team of 13 powering analytics for over 4,000 companies.
3. Technical leverage. We have 2 engineers dedicated to our data infrastructure, yet we power ad-hoc analysis over dozens of billions of events each month.
4. Strong engineers. We've shipped code at Facebook, Palantir, Stripe, Google. We care about efficiently writing good code: https://heapanalytics.com/jobs#engineer.
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.

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 working on a new distributed infrastructure 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.

Our press coverage

Our launch: https://news.ycombinator.com/item?id=5424206
Our fundraising announcement: http://techcrunch.com/2013/08/27/heap-raises-2m-for-their-capture-everything-analytics-tool/
Our iOS Launch: http://techcrunch.com/2014/06/20/heap-ios-launch/

Our tech stack

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

Our investors

  • SV Angel
  • Y Combinator
  • Redpoint Ventures
  • Sam Altman
  • Garry Tan