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Datamorph – A clean JSON ⇄ CSV converter with auto-detect

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Datamorph – A clean JSON ⇄ CSV converter with auto-detect

Hi everyone, I built a small web tool called Datamorph because I kept running into JSON/CSV converters that either broke with nested data, required login, or added weird formatting. Datamorph is a minimal, fast, no-login tool that can: • Convert JSON → CSV and CSV → JSON • Auto-detect structure (arrays, nested objects, mixed data) • Handle uploads or manual text input • Beautify / fix invalid JSON • Give clean, flat CSV output for real-world messy data It’s built with React + Supabase + serverless functions. Everything runs client-side except file parsing, so nothing is stored. I know there are many similar tools, but I tried focusing on: • better handling of nested JSON, • simpler UI, • zero ads / zero login, • instant conversion without waiting. Would love feedback on edge cases it fails on, or features you think would make this actually useful for devs and analysts. Live tool: https://datamorphio.vercel.app/ Thanks for checking it out!

Visit productView on Hacker NewsNov 21, 2025
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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.
best fitHighest predicted score across all platforms for this description.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: using · Missing: mac, agents, macos
40%40% 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: ide, io · Missing: https docs, excited, just released
39%39% 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 · 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: arr · Missing: mrr, revenue, profit
24%24% 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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