
Liftigniter YC Application
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 MukherjeeFounder
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.
- Founders2
- Company7
- Progress7
- Idea4
- Equity3
- Curious2
- Batch Preference1
Company
Liftigniter
Machine learning personalization for dynamic sites
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.
We currently live and work in San Francisco, and the company will be based here after YC.
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.