Hello Chair
Hello, Chair Inc. was founded in 2006 by Luke Iannini, Mike Jacobs and Kevin Corcoran to explore opportunities in applied machine learning and internet advertising. After receiving funding from Y-Combinator in 2007, we produced Adpinion, one of the first advertising networks to utilize user feedback to drive personalized targeting. Our core technology — the recommendation engine called SparseReduce — has since proved infinitely adaptable in such diverse problem domains as Amazon product recommen
Y Combinator
yc-company-directory #623Hello, Chair Inc. was founded in 2006 by Luke Iannini, Mike Jacobs and Kevin Corcoran to explore opportunities in applied machine learning and internet advertising. After receiving funding from Y-Combinator in 2007, we produced Adpinion, one of the first advertising networks to utilize user feedback to drive personalized targeting. Our core technology — the recommendation engine called SparseReduce — has since proved infinitely adaptable in such diverse problem domains as Amazon product recommen
sourceHello Chair is classified as AI infrastructure from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.
Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.
Companies similar to Hello Chair
A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.
Trendpop
match 71Trendpop is the leading analytics and insights platform for short-form video marketing. We’re on a mission to help anyone go viral on social video platforms. We’re a deeply technical team that has taken a data-first approach to this problem: our core engine has collected over a billion social video posts that are analyzed with state-of-the-art algorithms to understand the recommendation algorithms that power virality. Trendpop was co-founded by Yoav Zimmerman (CEO) and Jonathan (Yoni) Ben-tzur (
shared extracted concept terms: recommendation, engine, core; shared product terms: found, core, recommendation, engine; shared affiliation: Y Combinator
Suggestr
match 69Suggestr is a self-serve, no-code personalization solution for the 20M+ e-commerce brands that sell on platforms like Shopify. Marketplaces like Amazon drive up to 30% of their sales from personalized surfaces (recommendations, bundles, frequently bought together, et cetera). They have large data science teams that build such in-house recommendation engines. However, DTC brands can't afford to do this, and they don't have enough customer data to make the conventional recommendation approaches wo
shared extracted concept terms: recommendation, engine; shared product terms: drive, personaliz, recommendation, engine; shared affiliation: Y Combinator
Disqus
match 59We love the internet, and the colorful characters and interesting conversations that make up its diverse communities. Disqus exists to make better communities and an even better web. Today, our product ecosystem includes our established comment network (over 4 million websites that cover pretty much any topic imaginable), a growing advertising network, and our owned and operated platform. Originally founded in 2007 by CEO Daniel Ha and CTO Jason Yan, we’re changing the way people get into discus
shared extracted concept terms: internet; shared product terms: internet, diverse, network, advertis; shared affiliation: Y Combinator
Wifi Dabba, Inc.
match 45We enable humans & machines with internet connectivity at a price that they can afford. The inspiration for Wifi Dabba came from the founders working together for the last decade in the mobile application industry and realising the biggest reason for user churn being access to cheap and affordable internet access. From having worked on ground onboarding users and facing poor connectivity issues all the time, we took it on ourselves to fix the internet access problem for the common citizen. At Wi
shared extracted concept terms: internet, machine; shared product terms: machine, internet, problem; shared affiliation: Y Combinator
Enroll Hero
match 44Personalized recommendation engine empowering seniors to make smarter decisions in retirement, starting with Medicare health insurance.
shared extracted concept terms: recommendation, engine; shared product terms: personaliz, recommendation, engine
ETALYC
match 39Transforming traffic operations using Internet of Things (IoT), machine learning, and big data analytics.
shared extracted concept terms: machine, internet; shared product terms: internet, machine; same category: AI infrastructure