Show HN - DropQuery - upload your CSV data and query away

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(Firstly, apologies for not having a demo. I realise for a tool like this, it's best to give some sort of demo, rather than putting up a landing page. Having said that, demo is coming - soon. But I want to gauge some interest, get some feedback on the concept, do some initial, early validation etc.) DropQuery is a tool I'm working on at the moment, which you can use to upload your CSV file and use standard SQL to query it. Would love to have you as an early user to get some feedback on the upcoming release! - so please sign up if you'd be interested! http://dropquery.com

Visit product View on Hacker NewsSep 19, 2013

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Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos

43%43% 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.

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

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

30%30% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

26%26% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

26%26% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

8%8% 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.

Correct prediction on native model

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