Tablecraft – instant in-browser table converter/exporter

Hacker News

I needed something simple to convert small tables back and forth between CSV, Markdown, JSON while debugging scripts, writing docs, or answering Slack messages. Nothing quite fit (most tools are either huge Electron apps or too limited/complex), so I built Tablecraft. 1) Paste any of the supported formats (or start empty) 2) Live preview + light editing (tab to navigate cells, create new rows, etc.) 3) One-click export to CSV, Markdown table, JSON (array-of-arrays or header + rows), or PNG (pixel-perfectish) It’s deliberately minimal and very much an MVP (some rough edges, mobile support is “works but ugly”, missing features). Still deciding whether to open-source it. https://www.tablecraft.dev (propagating...) Feedback/curses/feature ideas very welcome—especially if you actually find yourself using it.

Visit product View on Hacker NewsNov 21, 2025

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

70%70% 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

59%59% 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 · Missing: https docs, excited, just released

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

nativeThis product was originally launched on this platform.

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

44%44% 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

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

19%19% 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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