http://datafa.me/ first step in 'small data' analytics

Hacker News

There is plenty of work being done on 'big data' problems but there aren't many tools for visualizing and comprehending small bits of data. A teacher should be able to copy/paste her class grades to quickly draw a chart. A kid should be able to connect to simple data files on the net, visualize the data and investigate trends among various dimensions. A blogger who does an experiment and generates a few hundred lines of data should be able to share it the way she can share videos. http://datafa.me is currently at the 'minimum viable product' stage. I'll be expanding to more charts, adding more intelligence to detect the most appropriate visualization, saving data, making it private and many other things. However, after reading articles from other product developers, I decided to start getting feedback, rather than develop in isolation. I'd love some feedback!

Visit product View on Hacker NewsMar 19, 2013

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

53%53% 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: video, visualize, way · Missing: mobile apps, ios, personal

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

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

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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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