Filesql – SQL Driver for CSV, TSV, LTSV, Parquet, Excel

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Hi HN, I built a Go SQL driver that lets you query CSV, TSV, LTSV, Parquet, and Excel files directly using SQLite3 SQL syntax. No database setup required – everything runs in-memory. Key features: - Query multiple file formats simultaneously and JOIN across them - Handles compressed files (.gz, .bz2, .xz, .zst) automatically - Stream processing for large files with configurable chunk sizes - Support for file paths, directories, io.Reader, and embedded files - Auto-save functionality to persist changes back to files - Cross-platform (Linux, macOS, Windows) This was extracted from my CLI tools sqly and sqluv to avoid code duplication. Instead of maintaining the same functionality in multiple projects, I made it a reusable library. The library provides all essential functionality, though it hasn't undergone rigorous production-grade testing yet. Thank you.

Visit product View on Hacker NewsAug 30, 2025

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

66%66% 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, io · Missing: https docs, excited, just released

58%58% 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

48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

32%32% 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

24%24% 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

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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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