Kvatch – query APIs, CSVs, Google Sheets, and databases as one source

Hacker News

Hi HN, A few weeks ago I shared Kvatch.com a federated SQL engine I’ve been hacking on that lets you query across multiple data sources with plain SQL. Since then, I’ve added support for querying live APIs alongside files and databases. That means you can now join data from: REST APIs CSV files Google Sheets Postgres / SQLite Git repositories All as if they were one datasource. Example use cases: Join your GitHub issues with commits from a repo Combine a Google Sheet of leads with enrichment data from a REST API Build quick dashboards that mix API + database + CSV data Kvatch is open-source, written in Go, and still early — but I’d love feedback on what data sources / features would make it most useful. Docs & example -> https://github.com/kvatch-hub/kvatch-cli/tree/main/examples GitHub -> https://github.com/kvatch-hub/kvatch-cli Website -> http://kvatch.com Blog -> http://kvatch.com/blog Thanks for checking it out!

Visit product View on Hacker NewsSep 23, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, apis, open · Missing: mac, agents, macos

88%88% 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: ide · Missing: https docs, excited, just released

74%74% 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

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: google · Missing: mobile apps, ios, personal

37%37% 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

25%25% 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

16%16% 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.

Incorrect prediction on native model

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