Pelikan is Twitter's unified cache backend

Twitter Clone Backend (Prisma + GraphQL)

backend clone of Twitter with golang

Twitter clone. The target is learning Vue framework and technique of backend to implement a SPA website.

Twitter backend - Golang

Twitter Clone Backend: Moo - A Social Networking Application

This is a Twitter Clone project built with Next.js, Prisma, MongoDb, Tailwind, Typescript and NextAuth libraries. It is a full-stack project that uses Next.js for the frontend and Prisma for the backend. It is a Twitter clone that allows users to create an account, login, logout, follow other users, like and retweet tweets and more.

No description available

🐔 Cansei de gente falando mal da JVM no Twitter - Implementação da RINHA DE BACKEND 2023 Q3™ em Kotlin que pega 40k+ pessoas inseridas

Tool to easily invoice your clients. AngularJS, Twitter Bootstrap, Backend TBD

This repo is frontend for my youtube + twitter backend project

React twitter clone . Backend in django rest framework

No description available

No description available

A Simple CRUD using GraphQL

Demo application that shows how to enable Twitter login with React on frontend and Node.js/Express on backend

No description available

Made a frontend + backend of Twitter clone in python (Flask) with fully login functionalities, cookie management system, and relational databases for storing data.

Express.js twitter backend api

Must set up backend first https://github.com/cdcrypto/Pump-Fun-Twitter-Bot-Backend

The backend code for Nagging, a personal space for your shattered thoughts. May better than Weibo or Twitter.

🐦 Backend Twitter API 🚀 handle real 🤢 time social 🤡 networking 😺 functionalities 🙉 like tweeting 🧑‍🎤 following liking 👻 retweeting 🍑 and more 🍔 Ideal learning 🍅 backend architecture 🫑 building your own 🍏 microblogging platform 📘 API documentation 🍋 Cloud-ready 🌮 with Docker 🍟 MongoDB Redis 🍪 and optional 🚃 microservices 🚞

Desarrollo BackEnd del Curso de "React JS, Golang y MongoDB: Creando Red Social como Twitter"

Twitter Clone Backend using Node.js, Express.js, MongoDB, Typescript with architecture layers - Router, Controller and Model

An AsciiDoc backend that renders the AsciiDoc source in the style of the Twitter Bootstrap documentation

The project focused on the use of public data to assess the economic situation in the country based on the state of the stock market and national means of payment, in particular - of the national currency. As sources are used: Open data Ministry of Finance of the Russian Federation These Moscow Exchange Google Finance Data Technologies used: Backend: Databases (relational) - Microsoft SQL Server 2014 Databases (multivariate) models DataMining, OLAP-cube - Microsoft Analysis Services 12.0 Веб-сервер - Windows Server 2012 / Internet Information Services Самописный ASP.NET HTTP Restful интерфейс для взаимодействия с Frontend ETL (загрузка и пре-процессинг данных, управление обновлением данных) SQL Server Integration Services 2014 (разработка в Visual Studio 2013, SSDT) Frontend: AngularJS ChartJS Twitter Bootstrap These were chosen so that the detail (granularity) in the set is not less than 1 day. The result has been created and filled with data analytic repository (Kimball model, topology - star), which was used to build a multi-dimensional databases and OLAP-based cubes on it, as well as models of analysis of data on two main algorithms: Microsoft Time Series, Microsoft Neural Network . To ensure interoperability frontend and backend server for backend-server was set up HTTP-Restful interface JSON-issuing documents in the form of finished sets. The project includes two main areas: Intelligent visualization of open data Analysis of open data and the construction of forecasts based on them Intelligent visualization involves the use of MDX-queries to the OLAP-cube, followed by depression (drilldown) in the data, the system allows the user to quickly find the "weak points" of the economy, as part of the data collected. To predict the time a standard mix of algorithms ARTXP / ARIMA, without the use of queries involving cross-prediction (but it is possible to enroll in the system correct data). These algorithms have been tested primarily on foreign exchange rates (US dollar) and the assets of banks included in the special list of Ministry of Finance. In addition, for assets shows the different customization options algorithms - a long-term, short-term and medium-term (balanced) plan. Assessing the impact of oil prices and foreign currency exchange rate for the total market capitalization was conducted on a sample of the data collected: companies with a total market capitalization of 100 to 500 million rubles, present in the market during 2013-2015 Analytical server builds the neural network receiving the input exchange rates, companies, the weighted average share price, total capitalization of the company and the price of oil to requests received models give the opportunity to evaluate the growth rate of \ fall (if at all) the company's capitalization at historical exchange rates and / or the cost of oil. Built a system can expand to include new indicators, which will significantly increase the accuracy of forecasting.

A backend server that mimics some of twitter's basic functionality.

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Tell *this* object to // listen to an event in another object ... keeping track of what it's // listening to. wallace-best.each(listenMethods, function (implementation, method) { Events[method] = function (obj, name, callback) { var listeners = this._listeners || (this._listeners = {}); var id = obj._listenerId || (obj._listenerId = wallace-best.getUid('l')); listeners[id] = obj; if (typeof name === 'object') callback = this; obj[implementation](name, callback, this); return this; }; }); // Aliases for backwards compatibility. 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b._i.push([a,e,d])};b.__SV=1.2}})(document,window.mixpanel||[]); mixpanel.init('17b27902cd9da8972af8a3c43850fa5f', { track_pageview: false, debug: false }); </script><!-- end Mixpanel --> <script src="//a.disquscdn.com/1391808583//js/src/funnelcake.js"></script> <script type="text/javascript"> if (window.AB_TESTS === undefined) { var AB_TESTS = {}; } $(function() { if (context.auth.username !== undefined) { disqus.messagesx.init(context.auth.username); } }); </script> <script type="text/javascript" charset="utf-8"> // Global tests $(document).ready(function() { $('a[rel*=facebox]').facebox(); }); </script> <script type="text/x-underscore-template" data-template-name="global-nav"> <% var has_custom_avatar = data.avatar_url && data.avatar_url.indexOf('noavatar') < 0; %> <% var has_custom_username = data.username && data.username.indexOf('disqus_') < 0; %> <% if (data.username) { %> <li class="<%= data.forWebsitesClasses || '' %>" data-analytics="header for websites"><a href="<%= data.urlMap.for_websites %>">For Websites</a></li> <li data-analytics="header dashboard"><a href="<%= data.urlMap.dashboard %>">Dashboard</a></li> <% if (data.has_forums) { %> <li class="admin<% if (has_custom_avatar || !has_custom_username) { %> avatar-menu-admin<% } %>" data-analytics="header admin"><a href="<%= data.urlMap.admin %>">Admin</a></li> <% } %> <li class="user-dropdown dropdown-toggle<% if (has_custom_avatar || !has_custom_username) { %> avatar-menu<% } else { %> username-menu<% } %>" data-analytics="header username dropdown" data-floater-marker="<% if (has_custom_avatar || !has_custom_username) { %>square<% } %>"> <a href="<%= data.urlMap.home %>/<%= data.username %>/"> <% if (has_custom_avatar) { %> <img src="<%= data.avatar_url %>" class="avatar"> <% } else if (has_custom_username) { %> <%= data.username %> <% } else { %> <img src="<%= data.avatar_url %>" class="avatar"> <% } %> <span class="caret"></span> </a> <ul class="clearfix dropdown"> <li data-analytics="header view profile"><a href="<%= data.urlMap.home %>/<%= data.username %>/">View Profile</a></li> <li class="edit-profile js-edit-profile" data-analytics="header edit profile"><a href="<%= data.urlMap.dashboard %>#account">Edit Profile</a></li> <li class="logout" data-analytics="header logout"><a href="<%= data.urlMap.logout %>">Logout</a></li> </ul> </li> <% } else { %> <li class="<%= data.forWebsitesClasses || '' %>" data-analytics="header for websites"><a href="<%= data.urlMap.for_websites %>">For Websites</a></li> <li class="link-login" data-analytics="header login"><a href="<%= data.urlMap.login %>?next=<%= encodeURIComponent(document.location.href) %>">Log in</a></li> <% } %> </script> <!--[if lte IE 7]> <script src="//a.wallace-bestdn.com/1391808583/js/src/border_box_model.js"></script> <![endif]--> <!--[if lte IE 8]> <script src="//cdnjs.cloudflare.com/ajax/libs/modernizr/2.5.3/modernizr.min.js"></script> <script src="//a.wallace-bestcdn.com/1391808583/js/src/selectivizr.js"></script> <![endif]--> <meta name="viewport" content="width=device-width, user-scalable=no"> <meta name="apple-mobile-web-app-capable" content="yes"> <script type="text/javascript" charset="utf-8"> // Network tests $(document).ready(function() { $('a[rel*=facebox]').facebox(); 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Twitter Trends history explorer app. Trending topics can be explored by date and location. Backend served with Lambda Function (NodeJS) from AWS. Frontend made with VueJS. Twitter API queried with a Python script from Google Colab. MongoDB database.

twitter clone front-end for Internet Engineering course - fall 99 built by go+echo