Skip to main content
SimilarExport ZIP
100%

Building an offline realtime sync engine

✓ Published0🌍 Public
JJastor11
Last edited Nov 14, 2024
Created on Dec 2, 2025

This React-based example compiles a curated reference list for building offline and realtime sync systems for web apps. It opens by framing the problem and then categorizes resources into overview articles, industry case studies from Figma and Linear, and off-the-shelf solutions. The text highlights concrete technologies like CouchDB, PouchDB, RxDB, and Electric SQL, using Markdown files as the data source to present a structured, textual overview of available tools and architectural approaches.

AI-generated description

Similar vizzes

Loading thumbnail…

Gist 3413ee69199762ea0375292e47168e84

This example shows a Redux-based offline-first data visualization for a rail system, persisting station directory data to localStorage and using a service worker to cache assets for offline use. The code uses `localforage` for asynchronous storage, `axios` for fetching JSON station data, and `throttle` from Lodash to limit state saves. It demonstrates a fetch-then-cache strategy where API responses are stored locally, while the service worker intercepts network requests to serve cached resources or fall back to offline behavior. The visualization itself is not shown, but the data flow centers on storing and retrieving station directory JSON to support the application’s offline functionality.

CCKschneid
65% match
Loading thumbnail…

Resources for getting started with local-first software development

This visualization presents a curated resource guide for local-first software development, sourced from a GitHub gist. It shows a linear reading flow, beginning with foundational background material and progressing to hands-on tutorials. The React-based layout uses Automerge and Automerge Repo as the core libraries, with descriptions that highlight CRDT merge scenarios and a browser-synced counter app. The guide’s structure and linked resources are presented as a static, annotated list, emphasizing the path from conceptual videos to practical code examples.

HHerbCaudill
65% match
Loading thumbnail…

Tutorial

This tutorial demonstrates how to use React with asynchronous data to render a text-based report. It shows a loading message, then fetches a list of cars from a hardcoded JSON array via a Promise-based `getCars` function, and displays a filtered list of cars under a price threshold. The code uses `getCars()` to simulate a delay, `generateReport` with `filter` and `map` to format results, and React’s `element.textContent` to update the DOM. The example relies on React 16.10 UMD builds and vanilla JavaScript, with no charting or visualization library.

RRodolfo Dutra
61% match
Loading thumbnail…

React Starter

This example demonstrates asynchronous data loading in a React application. It displays a loading message while fetching car data, then renders the first car's make model after a simulated two-second delay. The visualization uses React 16.10 and ReactDOM, with data parsed from an JSON string in getCars.js via `JSON.parse`. A React component updates a pre-element through DOM manipulation, showing how to integrate async data fetching with state updates and conditional rendering in a minimal React setup.

JJonathan Phelps
61% match
Loading thumbnail…

React Starter

This example demonstrates a simple loading-and-report workflow. It fetches a hard-coded JSON array of five used cars via a simulated asynchronous API (`getCars` with a `setTimeout` promise) and then filters that data by price using `generateReport` and `formatCar`, which concatenate the matching entries into a text report. The report is displayed in an HTML `<pre>` element with a large font size. The code uses React 16.10 as a dependency, although the visible logic relies on plain JavaScript and DOM updates rather than React components.

Jjeronimoek
60% match
Loading thumbnail…

React Starter

This example demonstrates a newspaper-style layout built with React, featuring multiple columns of text, headlines, and GIF images. The design uses a serif typographic hierarchy with Playfair Display and Droid Serif fonts, styled through CSS. React components render the page structure, while the `useData` hook uses `d3.csv` to fetch and parse the Iris dataset from a remote URL, converting string values to numbers for potential data analysis. The example showcases how React integrates with D3 for data loading and manipulation within a visually rich, editorial interface.

Mmarci640
60% match
Loading thumbnail…

React Starter

This example demonstrates a simple React starter with a text-based report generator for car data. It loads car records from a hardcoded JSON array via a promise-based `getCars` function with a two-second delay, then filters and formats the results using `map` and `filter` from JavaScript. The formatted output is rendered directly into the DOM via `document.getElementById("root").textContent`, replacing a "Loading..." placeholder. The code uses ES6 features like template literals, destructuring, and `Promise` syntax, but no visualization or charting library is involved.

SSathishKumarL
59% match
Loading thumbnail…

interaction with react

This example demonstrates a minimal web page that loads a CSV file using the JavaScript `fetch` API and prints the raw text to the browser console. The page is styled with CSS, centering the title in an oversized font. The interaction is limited to fetching the dataset from a GitHub Gist URL and logging its contents, with no visual rendering or user interface beyond the static text. It uses no external libraries, relying solely on native JavaScript asynchronous operations to retrieve and display the data.

Aadewole-top
59% match