We made a data tool that pivots all columns/rows into charts locally

Hacker News

Useful for someone who quickly wants to understand a dataset visually. It could be google search console data, surveys, pretty much any CSV export from a database. AddMaple detects column types, summarizes and visualizes each one and gives you an explorable dashboard. The dashboard allows for further segmentation/pivoting and exploration. It's not a static output. Expand a chart, click on a bar in the chart to filter the entire dashboard by that response/category. Click on the kebab icon to share the chart via a published URL or embed. Or export as JSON/CSV to use with other software. If you see this post in the sea of posts, please say hi :)

Visit product View on Hacker NewsNov 26, 2023

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Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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

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

nativeThis product was originally launched on this platform.

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

54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

37%37% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: google, visualize · Missing: mobile apps, ios, personal

30%30% 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

14%14% 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

8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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