Jspreadsheet

Jspreadsheet

Product Hunt

JavaScript Data Grid with Advanced Spreadsheet Controls

Jspreadsheet is an advanced JavaScript spreadsheet component. It enables developers to embed Excel-like spreadsheets directly into web applications, offering data management capabilities with a familiar interface with the power of AI and automation — empowering anyone to analyze, visualize, and act on data instantly. Think Excel, PowerBI, ChatGPT and Zapier in one web component

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Actual performance

199upvotes
15comments
Made the leaderboard

Traction signals

Makers1

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: visual, chatgpt · Missing: mac, agents, macos
80%80% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
68%68% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: visualize · Missing: mobile apps, ios, personal
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: interface · Missing: plus, platform, intuitive
38%38% 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 · Strong signals: chat · Missing: web3, crypto, cryptocurrency
11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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