23Andme, Inc.

Dropbox, Inc.

Hewlett-Packard Development Company, L.p.

23Andme Genomics LLC

Jack Tihon

Linda Avey

Anne Wojcicki

Alexander Wong

Oleksiy Khomenko

Jeffrey Mellen

Brian Lee Hawthorne

Marcela Miyazawa

Michael P Polcari

Franck Chastagnol

George O'Brien

Steven A Carpenter

Jitendra Vaidya

Erik Klein

Daniel Arai

Michael Polcari

Sharing data is disclosed. In some cases, sharing data includes receiving a request to share data from a first account to a second account, receiving an indication of a plurality of first account profiles associated with the first account to share with the second account, and establishing sharing from the plurality of first account profiles to the second account, wherein sharing comprises the second account having read access to a subset of nonpublic data associated with the plurality of first account profiles.

Genome sharing

A campaign offers and rewards system includes an offer serving engine, and an analytics engine with data intelligence. The analytics engine compares information about similar goods or services sold by different entities, manufacturers or service providers to create product and service categories. A redemption engine is included.

Systems and methods for campaign offers and rewards with offer serving engine based on digitized receipt data

A campaign offers and rewards system includes an offer serving engine that provides offers or rewards. An analytics engine, with data intelligence, identifies receipt line items and ties the line items, including uniform price code ('UPC'), stock keeping unit ('SKU') or product short name from different receipts to create a list of products and services not matched to advertisers. A redemption engine is in communication with a database that includes a reward budget. The redemption engine assists in controlling the redemption of rewards in view of the reward budget and in response to a communication from the analytics engine.

A campaign offers and rewards system includes a receipt intelligence engine with receipt processing that extracts information from a receipt, including information about items purchased based on a receipt from at least one of a shopping trip and an electronic receipt from an online or offline transaction. An analytics engine includes data intelligence coupled to the receipt processing and performs analysis of the receipt. The system is configured to be coupled to a mobile device.

A campaign offers and rewards system is provided. A receipt intelligence engine includes receipt processing that in operation extracts information about items purchased based on an image of a receipt from at least one of a shopping trip and an electronic receipt from an online or offline transaction. An analytics engine includes data intelligence coupled to the receipt processing and performs analysis of the receipt. In response to processing and analysis, an offer is then sold.

The present invention relates to a mechanism for copying selected routines from shared libraries into application programs thereby generating optimized application programs for more rapid execution of the various applications within a computer system. Since optimized programs occupy space on disk and in RAM, programs are preferably selected for optimization based on their frequency of execution and the frequency with which calls are made to the shared libraries. Profile information may be used to identify the execution efficiency of the various application programs and thereby identify the best candidates for optimization. Further, profile information may be employed to copy individual routines contained within the libraries rather than having to copy an entire library where only one routine within the library was of interest. Pinpointing the individual routines of interest in this manner may help conserve disk space by copying only those routines which are most needed to optimize program execution performance.

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San Francisco, CA, United States of America

Jack Tihon