Yoopta – Open-Source Rich Text Editor with Extensive Customization

Hacker News

Hi everyone! I want to share my Yoopta-Editor project with you. Yoopta - open-source rich-text editor for web apps. It’s packed with features that let you build an editor as powerful and user-friendly as Notion, Craft, Coda, Medium etc. This project was born from my own frustrations as a Front-End developer working with various WYSIWYG editors. Despite the prominence of many tools, none satisfied my fundamental needs. Yoopta-Editor It's not just another rich-text editor. It's a solution designed to overcome common challenges developers face with existing editors that are often limited, despite being labeled as "rich". This editor will provide you with the following features: - Easy setup - Default list of powerful plugins - Everything is customizable and extensible - A list of useful tools (ActionMenu, Toolbar etc.) for the convenience of working with the editor - Drag and drop, nested dnd is supported also - Automatic lazy loading for media components (eg. image, videos, embeds) - Selection box for manipulating with multiple blocks at once - Mobile friendly - Exports/imports in different formats like markdown, html, plain text - Every plugin render can be extended with your own UI-kit components - Large documents - Markdown shortcuts, hotkeys. And customization for this! - Nested Ordered, Todo, Bulleted lists - The soul invested in the development of this editor ... and other features that I forgot to write about in this list . Just check it in examples ˆ-ˆ

Visit product View on Hacker NewsJul 25, 2024

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Actual performance

6points

Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

92%92% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: apps, user, open · Missing: mac, agents, macos

86%86% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, ide · Missing: https docs, excited, just released

72%72% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: apps, video · Missing: mobile apps, ios, personal

55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: friendly · Missing: plus, platform, intuitive

45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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