Browser only CSV editor, data never leaves your machine

Hacker News

The current software I am working upon as part of my full time job, I have to deal with very long JSONs and lot of CSVs. For editing or viewing JSONs my first and obivous choice was jsonher.io, it’s the most wonderful JSON viewer I have ever seen. But I wish I could the same for CSVs too, when I googled it, I couldn’t find anything good. Most of the tools were asking me to sign up, some of them allowed me to open CSV but then came a big popup asking for my credit card so that I can edit it or use some filters, and lot of them were sending CSV to server in case it was large. I will be honest, there were some which were no signup or no server, but their UX was bad - sublime was showing the content better than those. Then I started building one for myself, and it turns out building no signup, browser only CSV tool is actually possible even for managing large CSVs; I was able to make it up and running within days and it turns out to be awesome - apologies for shameless bragging. Later I added support for downloading content in JSON and other alternatives of CSV like PSV, TSV, SSV, etc. It has all the basic functionalities for working with CSVs - filtering, sorting, editing, deleting, downloading in your desired format. In near future, I am planning to make it one shot CSV editor for all kinds of platform - browser extensions, desktop app and hopefully mobile apps too ( I am bad at building mobile apps, but I will try my best ). Do check it out and let me know in comments, what you feel about it.

Visit product View on Hacker NewsSep 8, 2026

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

78%78% 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.

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

63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

49%49% 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

33%33% 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

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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