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I made a fast, offline-first developer toolkit with no ads or tracking

Hacker News

I made a fast, offline-first developer toolkit with no ads or tracking

Hey HN, I was fed up with using online converters and generators. They were slow. They used server encoding. They were full of ads. Or they required cookie confirmation for simple tasks. Opening VS Code or Sublime with plugins was also slow. So, I built a simple, web-based toolkit called Stringify that I thought some of you might find useful. It started as a personal project with no aspirations to make money from it. I remember a time when people used to create online projects and websites just for fun :) It’s a single index.html file with vanilla JavaScript that handles common developer tasks such as: URL, Base64 and JSON encoding and decoding. JSON formatting and minification; MD5 and SHA-1 hashing, UUIDv4 and Nano ID generation. It also contains a JavaScript object-to-JSON converter for handling unquoted keys and similar issues. Everything is processed on the client side, so it’s completely private and can be used offline. There are no ads, trackers or cookies, and no server-side processing. It’s just a fast, functional tool inspired by the minimalist tools I admire. I'd love to hear your feedback or suggestions for other useful features to add. The site is here: https://stringify.cc/ .

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
77%77% 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: single, tasks, using · Missing: mac, agents, macos
64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
60%60% 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
40%40% 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: personal · Missing: mobile apps, ios, entrepreneurs
23%23% 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
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: make money · 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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