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MathCast helps students, researchers, and developers quickly find and copy mathematical symbols and LaTeX notation from the web and PDFs. Search 566+ symbols using natural language, Unicode, LaTeX, or categories. Select text, open Spotlight Search, preview rendered formulas with KaTeX, and copy exactly what you need. Features: • Natural language search (Pearson, derivative, sigma, softmax) • Unicode and LaTeX copy support • Works with web pages and PDF documents
👋 Hi Product Hunt!
I'm excited to launch **MathCast**, a Chrome extension designed to make mathematical notation easier to find and use.
While reading papers, writing LaTeX, or studying technical content, I often spent too much time searching for symbols like ∂, Σ, λ, or complex notation.
MathCast makes this process instant:
📐 Search 566+ math symbols
🔍 Find symbols by name, meaning, LaTeX, or category
📄 Works with web pages and PDFs
✨ Preview formulas before copying
🌎 Supports Korean, English, and Japanese
The goal is simple: reduce the friction between understanding mathematics and writing it.
I’d love to hear your feedback and suggestions for new symbols or features!
No comment highlights available yet. Please check back later!
About MathCast on Product Hunt
“Find and copy math symbols and LaTeX instantly”
MathCast was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #160 on the daily leaderboard. MathCast helps students, researchers, and developers quickly find and copy mathematical symbols and LaTeX notation from the web and PDFs. Search 566+ symbols using natural language, Unicode, LaTeX, or categories. Select text, open Spotlight Search, preview rendered formulas with KaTeX, and copy exactly what you need. Features: • Natural language search (Pearson, derivative, sigma, softmax) • Unicode and LaTeX copy support • Works with web pages and PDF documents
MathCast was featured in Chrome Extensions (52.7k followers), Education (79k followers) and Developer Tools (517.5k followers) on Product Hunt. Together, these topics include over 125.5k products, making this a competitive space to launch in.
Who hunted MathCast?
MathCast was hunted by Jonghyun. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how MathCast stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Jonghyun