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Sutra is a local-first prompt manager for people who reuse prompts across ChatGPT, Claude, Gemini, and Google AI Studio. Save prompts, organize them with folders and tags, fill variables, copy rendered text, or type; in supported chat sites to insert from your local library. No signup or cloud sync required for the current local workflow
Hey Product Hunt,
I built Sutra because my best prompts kept ending up scattered across notes, browser tabs, docs, and one-off chat threads.
Sutra is a local-first prompt library with a Chrome extension for the places prompts actually get used. You can save and organize prompts, add variables, copy rendered text, right-click selected text to start an “Explain this” flow, or type ;; in ChatGPT, Claude, Gemini, and Google AI Studio to insert a saved prompt without leaving the chat.
The current release is deliberately local-first:
- No signup required
- Prompt data stays in your browser profile
- JSON import/export is built in
- Cloud sync and teams are not shipped yet
- Explicit helpful/not-helpful feedback stays local and does not observe AI replies
I would especially value feedback on:
1. Which AI surfaces you would want supported next
2. Whether local-first is enough for your prompt workflow before cloud sync
3. Which part of prompt reuse still feels slow or annoying
Thanks for trying it.
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About Sutra on Product Hunt
“Your local prompt library, inside AI chat”
Sutra was submitted on Product Hunt and earned 6 upvotes and 1 comments, placing #69 on the daily leaderboard. Sutra is a local-first prompt manager for people who reuse prompts across ChatGPT, Claude, Gemini, and Google AI Studio. Save prompts, organize them with folders and tags, fill variables, copy rendered text, or type; in supported chat sites to insert from your local library. No signup or cloud sync required for the current local workflow
Sutra was featured in Chrome Extensions (52.7k followers), Productivity (655.7k followers), Developer Tools (515.5k followers) and Artificial Intelligence (473.1k followers) on Product Hunt. Together, these topics include over 338.9k products, making this a competitive space to launch in.
Who hunted Sutra?
Sutra was hunted by Nirav Joshi. 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 Sutra stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Nirav Joshi