DataGridXL v2, fastest Excel-like JavaScript Data Grid

Hacker News

Hello HN, I'm Robbert, after 1,5 years of hard work I have just released DataGridXL version 2. DataGridXL is the world's fastest Excel-like Data Grid. It's written in JavaScript ES6 and made in the 2020s. It weighs less than 250kb and it has zero dependencies. My goal for DataGridXL is to be the most performant, reliable and user-friendly spreadsheet-like data table. It has its own virtual DOM to keep scrolling & editing fast and to prevent DOM errors. New features since version 1: - Multi-Range Selection - Freeze and Unfreeze rows & columns - Hide and Show rows & columns - Rapidly search cells - Fullscreen Mode - Works with Touch (new bottom bar enables editing data on touch devices) - Dark Theme - Quick Column Sorting Please have a look at the homepage https://www.datagridxl.com/ and star DataGridXL2 on Github: https://github.com/DataGridXL/DataGridXL2 .

Visit product View on Hacker NewsFeb 22, 2022

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

85%85% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

66%66% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

15%15% 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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