ZenQuery – Query your data files (CSV, parquet, etc.) in plain English

Hacker News

I built ZenQuery( https://zenquery.app ), a Mac desktop app that lets you explore your data files — like CSV, Excel, JSON, and Parquet — by simply asking questions in plain English. Super low cost: ~$1 for 4,500+ questions No setup, no coding. Just drop in your files and ask things like: - “What’s the average revenue by region this year?” - “Show the top 10 products by sales volume.” 14-day free trial One-time payment of $20 for lifetime access 2-minute real demo video: https://www.youtube.com/watch?v=Wixpiez-4Ao Would love feedback from HN! Let me know what you think or how you'd use it.

Visit product View on Hacker NewsJun 19, 2025

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Launch Intel predictions

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

76%76% 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.

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

65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

65%65% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

Acquire.comPre-revenue stage for this audience · Strong signals: revenue · Missing: arr, mrr, profit

22%22% 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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