platoseed
A social feed for interactive AI Creations
Whip is a mobile app where you can create and discover interactive mini apps and games, we call them "whips". Scroll a social feed of playable posts like trivia games, quizzes, polls, party games, and more. Build your own whip in the app and publish it on the feed in minutes. Discover, remix, like, and comment on whips built by others on the platform. whip is built by the team behind tensorfuse
Whip is a platform that lets users build and share mini experiences directly from their phone, enabling remixing and social collaboration around AI-driven creations. It emphasizes no-code creation, sharing via unique links, and community engagement through following and remixing others' work.
Users can create mini experiences on a mobile device without code, generate a share link for each creation, and publish publicly or privately. Others can view, play, remix, and customize these experiences, with the ability to follow builders and grow an audience. The product supports social discovery by letting users share with friends or publicly announce creations, and emphasizes remixability and community interaction within a mobile-first app experience.
Who itβs for: Individuals and creators interested in building interactive AI-driven mini experiences from mobile devices, and those who want to share, remix, and grow an audience around their creations.
YC-backed, mentions support and platform accessibility on iOS/Android, ongoing community engagement
Samagra is the Co-Founder and CEO of Tensorfuse. Samagra has deep expertise in deploying production Machine Learning systems owing to his work on Multimodal Content Generation at Adobe Research and ML systems for network telemetry at UCSB. Samagra is a published AI researcher and holds a patent on Multimodal Content Generation. Additionally, Samagra authored the Java implementation of "AI: A Modern Approach," a widely used AI textbook in over 1,500 universities around the globe.
Agam is co-founder and CPO at Whip, a social platform for AI mini-apps. He also built Tensorfuse, a serverless GPU platform on customers' own AWS used by 70+ companies. Before becoming a founder, as a Systems Engineer at Qualcomm, he filed a USPTO patent on an image upscaler that improved display quality by 30% and is being used in millions of phones powered by qualcomm snapdragon chips. He also co-authored IEEE and Elsevier papers on nanowire FET modeling from research at IIT Bombay
Tensorfuse makes it easy to deploy and manage LLM pipelines on your own cloud
Tensorfuse provides an API to deploy and manage LLM pipelines on a companyβs own cloud, provisioning and managing Kubernetes and Ray infrastructure. It targets regulated spaces needing data control and reduced LLMOps overhead, enabling deployment with model selection, data pointing, and one-click provisioning.
From the original launch (Feb 2024) β may be outdated.
Formerly β10Kβ, βTensorFuseβ Β· why startups rename β

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