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Showing 2 open source projects for "algorithm"
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Turn traffic into pipeline and prospects into customersDocket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
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levelup
A wrapper for abstract-leveldown compliant stores, for Node.js
...LevelDB supports arbitrary byte arrays as both keys and values, singular get, put and delete operations, batched put and delete, bi-directional iterators and simple compression using the very fast Snappy algorithm. LevelDB stores entries sorted lexicographically by keys. This makes the streaming interface of levelup - which exposes LevelDB iterators as Readable Streams, a very powerful query mechanism. The most common store is leveldown which provides a pure C++ binding to LevelDB. Many alternative stores are available such as level.js in the browser or memdown for an in-memory store. ... -
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localResizeIMG
The front-end local client compresses pictures, compatible with IOS
...I have stepped on many pitfalls, after several version iterations, as well as the feedback and help of many netizens, and model testing. The picture is distorted, some devices do not automatically rotate the direction of the picture, and there is no jpeg compression algorithm. New Blob is not supported, and the size of the file constructed by formData is 0. There are also inexplicable bugs in some models and browsers (such as QQX5 browser). On-demand loading (JS files will be automatically loaded asynchronously according to the corresponding device, saving unnecessary bandwidth)
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