I was tired of switching extensions, so I built one with 24 tools

Hacker News

Hey HN, As a developer, my browser toolbar was getting ridiculously cluttered with single-purpose extensions: one for color picking, another for full-page screenshots, one for finding fonts, another for checking links, and so on. Switching between them was a constant interruption. To solve this for myself, I built Toolary: a single, lightweight extension that bundles 24+ of these essential tools into one unified interface. My goal was to create a fast, dependency-free toolkit for developers, designers, and content creators. It's built with Vanilla JS and leverages browser APIs like EyeDropper and TabCapture directly for performance. Some of the tools included are: * *For Devs:* Element Inspector (gets CSS selectors/XPath), Site Info (tech stack), Link Scraper, Copy History Manager. * *For Designers:* Advanced Color Picker, Font Finder, Media Downloader, Screenshot tool, and a Color Palette Generator that extracts colors from any page. * *AI-Powered Tools:* This is the part I'm most excited about. It connects to the Gemini API (you need to bring your own key, which is stored locally) for tasks like: * AI Text Summarizer * AI SEO Analyzer * AI Content Detector * AI Email Generator It's completely free, and I built it as a passion project. I have no plans to monetize it at the moment. I'd love to get your feedback on the tools, the UI, or any bugs you might find. Are there any other essential tools you find yourself constantly switching between that could be a good fit for a future update? Thanks for checking it out!

Visit product View on Hacker NewsOct 24, 2025

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

91%91% 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: email, single, tasks · Missing: mac, agents, macos

75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

62%62% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, io · Missing: https docs, just released, exist

44%44% 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

37%37% 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 · 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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