Restring – a fast, smart web toolbox for JSON, JWT, Base64, and more

Hacker News

I just built Restring — a fast, modern toolbox for everyday dev tasks like formatting JSON, decoding JWTs, and converting strings. I know there are plenty of similar tools out there, but I wanted something that felt instant and smart. - Fast: Built with SvelteKit and plain HTML/CSS, with minimal dependencies and no UI bloat. The whole site is under 300 KB zipped and feels lightning quick. - Smart: It tries to detect what you paste (like JSON, JWT, or Base64) and routes you to the right tool automatically. Currently supports: Base64, JSON, JWT, URL, Color, and DateTime. I’ve used React, Vue, and Flutter before, but building this with SvelteKit was a joy — intuitive, minimal, and just works. Would love feedback, especially on the auto-detection logic and ideas for other tools to add.

Visit product View on Hacker NewsOct 20, 2025

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4points

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

82%82% 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, coding, plain · Missing: mac, agents, macos

61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: intuitive · Missing: plus, platform, reviews

58%58% predicted probability of success on AppSumo, 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

46%46% 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

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

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: smart · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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