Liftigniter YC 지원서

Winter 2014Acquired

Liftigniter은(는) Winter 2014 배치에서 B2B 회사로 Y Combinator를 거쳤습니다. 아래에는 회사의 사업 내용, 창립자, 그리고 실제 YC 양식에 맞춰 재구성한 YC 지원서가 있습니다.

YC 배치: Winter 2014
산업: B2BMarketing
팀 규모: 11
상태: Acquired
출시됨: 2013

창업자

Indraneel MukherjeeFounder
Michael MurrayFounder

Liftigniter의 사업 내용

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.

Liftigniter의 YC 지원서, 재구성됨

Y Combinator 지원

Liftigniter, Winter 2014 기수. 공개 데이터를 기반으로 작성된 실제 지원 질문.

Founders2
Company7
Progress7
Idea4
Equity3
Curious2
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.

전체 지원서에서 21개의 추가 답변

Founders, Progress, Idea, Equity, Curious, Batch Preference는 전체 버전에 있습니다. 무료 계정을 만들어 YC Insights에서 모든 YC 배치 옆에 열어보세요.

전체 지원 보기

자주 묻는 질문

Liftigniter의 실제 YC 지원서인가요?

아닙니다. Y Combinator는 제출된 지원서를 비공개로 유지합니다. 이것은 재구성된 것입니다. 실제 YC 양식 질문에 Liftigniter의 공개 데이터(출시 노트, 창업자 배경, 제품 설명)를 기반으로 답변했습니다. Liftigniter과 같은 회사가 YC에 어떻게 자신을 소개하는지 보여주며, 그들이 제출한 텍스트는 아닙니다.