Ma

Magic CSV – Transform CSVs with plain English, no formulas

Hacker News

Magic CSV – Transform CSVs with plain English, no formulas

I built a tool that lets you describe CSV transformations in plain English and get clean data back. Upload a CSV, type something like "split address into street, city, state, zip" or "standardize all dates to YYYY-MM-DD", and it does it. I built this because I kept seeing people struggle with the same repetitive spreadsheet tasks—date formatting, splitting columns, cleaning up phone numbers—and reaching for Python or formulas when they just wanted the data fixed. It's free to try: https://magiccsv.app Would love feedback on what transformations people actually need. What's the messiest CSV problem you've dealt with?

Visit product View on Hacker NewsDec 31, 2025

Actual performance

17points

3comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

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

57%57% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

41%41% 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 · Missing: plus, platform, intuitive

36%36% 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

30%30% 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

Similar products

ZenQuery – Query your data files (CSV, parquet, etc.) in plain English60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

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

FormulaAI – Generate Excel formulas from plain English using AI42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

FormulaAI – Generate Excel formulas from plain English using AI

Floma45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Automate anything with plain English.

Indie Hackerscommitment-side-project

Deha42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Deha enables you to work with data in plain English

Backtest a futures strategy described in plain English41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Backtest a futures strategy described in plain English

Querri36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Data analysis, now in plain English, go formula-less

Logen65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Describe your app in plain English — Logen builds, secures,

Indie Hackerscommitment-full-time

Kiko53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Analyze Data via Plain English (Text2SQL)

Indie Hackers1ai

Biorxiv Tweets in Plain English44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Biorxiv Tweets in Plain English

Automate your workflow in plain English46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Automate your workflow in plain English

Browse all products Analyze your launch