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Drag any file onto the menu-bar icon. DropItDown converts it to clean Markdown locally, files it into your vault, and hands the path to your AI agent. Convert once — stop burning tokens on raw PDFs. Native macOS app, BYOK, no account.
Hey Product Hunt 👋
I basically live in the terminal with Claude Code, and all day I get files I want to hand to my agent — chat downloads, screenshots, PDFs, the odd spreadsheet. The problem: making an agent parse a docx or PDF directly burns a pile of tokens and is clumsy.
So I built DropItDown. Drag any file onto the menu-bar icon →
• it's converted to clean Markdown on your Mac (no upload, no token burn)
• filed into the right folder in a plain-Markdown vault, with a one-line summary
• the note's path lands on your clipboard — paste it into Claude Code or Cursor and the agent reads text, not a binary
Later I can ask the agent to grep the vault and it finds anything (those one-line summaries are the index). One click writes a CLAUDE.md so any agent opened there knows how to search it. The vault is just Markdown — zero lock-in (works with Obsidian, or nothing).
It's BYOK: classification runs on your own key (any OpenAI-compatible endpoint). Conversion itself is local and free. No account, no server — your files never leave your Mac. Native SwiftUI, open source.
Honest caveats: macOS 14+ / Apple Silicon only, and it's a ~200MB download (it bundles a full offline conversion pipeline, so there's nothing else to install).
I'd love to hear: what file types would you throw at it first? And what would make this a daily-driver in your agent workflow? — Nova
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About DropItDown on Product Hunt
“Drop a file → Markdown your AI agent can read”
DropItDown was submitted on Product Hunt and earned 5 upvotes and 1 comments, placing #61 on the daily leaderboard. Drag any file onto the menu-bar icon. DropItDown converts it to clean Markdown locally, files it into your vault, and hands the path to your AI agent. Convert once — stop burning tokens on raw PDFs. Native macOS app, BYOK, no account.
DropItDown was featured in Mac (103.6k followers), Productivity (655.6k followers), Artificial Intelligence (473.1k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 283k products, making this a competitive space to launch in.
Who hunted DropItDown?
DropItDown was hunted by Shang Gao. 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.
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Shang Gao