Open-source BI and analytics for engineers

Hacker News

We are building Quary ( https://quary.dev ), an engineer-first BI/analytics product. You can find our repo at https://github.com/quarylabs/quary and our website at https://www.quary.dev/ . There’s a demo video here: https://www.youtube.com/watch?v=o3hO65_lkGU As engineers who have worked on data at startups and Amazon, we were frustrated by self-serve BI tools. They seemed dumbed down and they always required us to abandon our local dev tools we know and love (e.g. copilot, git). For us and for everyone we speak to, they end up being a mess. Based on this, we decided there was a need for engineer-oriented BI and analytics software. Quary solves these pain points by bringing standard software practices (version control, testing, refactoring, ci/cd, open-source, etc.) to the BI and analytics workflow. We integrate with many databases, but we’re showcasing our slick Supabase integration, because it: (1) keeps your data safe by running on your machine without data flowing through our servers; and (2) enables you to quickly build an analytics layer on top of your Supabase Postgres instances. Check out our Supabase guide: https://www.quary.dev/docs/quickstart-supabase What we’re launching today is open source under the Apache 2.0 license. We plan to keep the developer core open source and add paid features like a web platform to easily share data models (per-seat pricing), and an orchestration engine to materialize your data models. Please try Quary at https://quary.dev and let us know what you think! We're excited to put the power of BI and analytics into the hands of engineers.

Visit product View on Hacker NewsMay 15, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, model, models · Missing: agents, macos, agent

94%94% 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.

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

82%82% 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 HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

28%28% 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

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: paid · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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