Equals – a spreadsheet that you can write SQL in

Hacker News

Hey Hacker News, Today we're launching Equals. Equals is a spreadsheet with native connections to your SQL databases and data warehouses. You can write SQL right in your spreadsheet. Equals was born out of a shared frustration of me and my co-founder. Despite the avalanche of new data tools over the last decade – nothing actually seemed better than a spreadsheet. Nothing was as flexible, malleable, and as easy to just dive in and play around with some data. In fact, you nearly always ended back in a spreadsheet regardless of what fancy set up you had: when something broke, when a chart in a BI tool didn't quite make sense, etc. You can learn more about Equals here: https://equals.app/ We'd love to hear what you all think. Ben

Visit product View on Hacker NewsJun 1, 2022

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

75%75% 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: new · Missing: mac, agents, macos

67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

36%36% 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

34%34% 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

19%19% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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