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Dev Toolbox – A browser extension with simple offline dev tools

Hacker News

Dev Toolbox – A browser extension with simple offline dev tools

Hello HN! I'd like to share a browser extension I made that provides quick offline access to various development tools. Current tool set: Calculate hashes; encode and decode HTML, URI, Base64; convert numbers between different bases; parse and manipulate various time formats; format and inspect IPv4/CIDR addresses; search all v13.1 emoji with quick copying in various formats. It runs entirely offline, making no external requests (even emoji PNG files are bundled), and only requires local storage permission to remember your last tab and input. This was inspired by an old extension called Hasher (no longer on the Chrome Store) that provided a simple interface to similar utilities. This was an opportunity to get back into making extensions, practice with Vue a bit, and expand upon the original idea. It's available for Chrome, Edge (via Chrome Store), and Firefox; links and screenshots are on GitHub, where you can also report any problems. Feedback and suggestions are very welcome. Thanks! https://github.com/cnanney/dev-toolbox

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Actual performance

4points
Did not reach leaderboard

Launch Intel predictions

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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.
AppSumoStrong fit for a featured deal · Strong signals: interface · Missing: plus, platform, intuitive
54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · 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.
Product HuntUnlikely to reach the leaderboard · Strong signals: code · Missing: mac, agents, macos
35%35% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
29%29% 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
11%11% 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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