Liftigniter

Liftigniter YC Application

Winter 2014Acquired

Liftigniter went through Y Combinator in the Winter 2014 batch as a B2B company. Below: what the company does, who founded it, and its application to YC, reconstructed question by question in the real YC form.

YC batch
Winter 2014
Industry
B2BMarketing
Team size
11
Status
Acquired
Launched
2013

Founders

  • Indraneel Mukherjee
    Indraneel MukherjeeFounder
  • Michael Murray
    Michael MurrayFounder

What Liftigniter does

LiftIgniter uses cutting edge data science to help publishers and retailers optimize their websites and mobile apps in real-time. Machine learning personalization puts the perfect piece of "content"​ (video, article, item to buy) in front the user at the exact moment when they are most likely to engage or convert - no tags or manual work required. The machine learns and updates itself so that's it's always perfectly in sync with your users and your "content."​ We average 50% improvements in CTR, engagement and conversation - with only a day's work on your part. Imagine creating a truly dynamic, real-time digital property that enables the perfect experience for that user impression at that moment in time. That is LiftIgniter! Our team of PhDs has direct experience building state-of-the-art personalization systems at the petabyte scale for some of the largest companies on the planet. Unless you plan on hiring your own team with deep experience (not likely since very few people with that experience exist), you should contact us to talk about how we can supercharge your digital experiences.

Liftigniter's YC application, reconstructed

Y Combinator application

Liftigniter, Winter 2014 batch. The real form questions, answered from public data.

  1. Founders2
  2. Company7
  3. Progress7
  4. Idea4
  5. Equity3
  6. Curious2
  7. Batch Preference1

Company

Company name

Liftigniter

Describe what your company does in 50 characters or less.

Machine learning personalization for dynamic sites

What is your company going to make? Please describe your product and what it does or will do.

We make a machine learning personalization engine that helps publishers and retailers automatically put the right content - videos, articles, products - in front of users at the moment they're most likely to engage or convert. It learns from user behavior and content so it stays up-to-date without manual tagging or work.

Where do you live now, and where would the company be based after YC?

We currently live and work in San Francisco, and the company will be based here after YC.

Explain your decision regarding location.

San Francisco is where our team currently lives and where the talent with deep data science and personalization experience is concentrated. Being here keeps us close to customers and partners.

21 more answers in the full application

Founders, Progress, Idea, Equity, Curious, Batch Preference are in the full version. Create a free account to open it in YC Insights, next to every other YC batch.

Frequently Asked Questions

Is this the real Liftigniter YC application?

No. Y Combinator keeps submitted applications private. This is a reconstruction: the real YC form questions, answered from Liftigniter's public data (launch notes, founder backgrounds, product description). It shows how a company like Liftigniter would present itself to YC, not the text they submitted.

What YC batch was Liftigniter in?

Liftigniter was part of the Y Combinator Winter 2014 batch.

Who founded Liftigniter?

Liftigniter was founded by Indraneel Mukherjee, Michael Murray.

What does Liftigniter do?

Machine Learning personalization for dynamic digital properties -…

How do I read the full reconstructed application?

Create a free Round Funded account. The full 26-answer version of Liftigniter's application, and every other YC batch, is in YC Insights.

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