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Datagridxl2.js – fast Excel-like data table library

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Datagridxl2.js – fast Excel-like data table library

I'm Robbert, the creator of DataGridXL.js. DataGridXL is a free (and commercial) editable data table library written in ES6. DataGridXL has customers from 4 different continents. It is used by Piktochart among many others. It has over 10 million end users, something that I am super proud of! My goal is to develop the most performant & user-friendly spreadsheet-like data table out there: - It has zero dependencies. You don’t need any framework to use DataGridXL. - It is lightweight (~250kb) and easy to use. It does not even require messing with CSS. - It has its own Virtual DOM implementation to prevent DOM errors. - Developer friendly. Supports all modern web browsers Please take a look at the performance demo ( https://www.datagridxl.com/demos/one-million-cells ) to see the difference with other data grids out there. And let us know if you have any suggestions. I am working on version 3 that will come with even more features, like dropdowns, cell validation etc. Please let me know if you have any suggestions or comments.

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Actual performance

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created
70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos
67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
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.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: friendly, users · Missing: plus, platform, intuitive
41%41% 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
12%12% 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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