No-code data analysis

Hacker News

Hey HN! We built Shape recently and would love to hear your thoughts. A lot of jobs now require making decisions with data in a database or warehouse. Unfortunately, most people don't know SQL. Shape plugs directly into a database or warehouse and allows you to do (almost anything) that SQL could do, but without code. There's a quick 2-min demo here: https://www.youtube.com/watch?v=r_Hq1hm-8bI If you want to take it for a spin, you can log in in one-click and use our demo database to try it out. Excited to hear what you all think!

Visit product View on Hacker NewsAug 17, 2022

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

76%76% 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: code · Missing: mac, agents, macos

53%53% predicted probability of success on Product Hunt, 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.

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.

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

25%25% 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

18%18% 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.

Incorrect prediction on native model

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