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Exabox – Essential Tools for Developers (macOS/Windows)

Hacker News

Exabox – Essential Tools for Developers (macOS/Windows)

Hey HN, I'd like to introduce you exabox, a side project I've been working on in the last few months. It is a set of tools for developers: convert and format JSON, YAML, TOML, encode and decode Base64, generate fake data, parse JWT, transform text using multiple rules, and many more. All in a single app. What exabox has to offer compared to other similar apps: - It works entirely offline - Buy once and keep it forever (no recurring subscriptions or in-app purchases) - It is available for macOS and Windows (and soon Linux as well) - There is a full-featured free web version - You can personalize the UI The free web version is available here: https://tools.exabox.app/ I'm expanding it and adding more tools and features. Here is the roadmap: https://github.com/albemala/exabox-app/issues I'd be interested in hearing what you think about exabox. Questions? Concerns? Suggestions? Thank you in advance!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
72%72% 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: ide, io · Missing: https docs, excited, just released
62%62% 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, macos, apps · Missing: agents, agent, cursor
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: personal, apps, month · Missing: mobile apps, ios, entrepreneurs
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: soon · 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: recurring, subscription · Missing: arr, mrr, revenue
13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: introduce · 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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