This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Trisynapse is a local-first, BYOK AI research workspace. Turn scattered papers, PDFs, bookmarks, notes & videos into a private digital brain. The app auto-summarizes, maps concept graphs, and compiles sources into auto-updating wikis. Work seamlessly with a built-in split-view Browser, local retrieval Chat, AI Assistants, and infinite Canvas whiteboards for note-taking. 100% offline-first (except AI API calls) and private: your vault stays on your machine
Hey Product Hunt 👋, Shanmukh here, developer of Trisynapse.
To be honest, I built this because I was losing my mind trying to keep up with the new AI and LLM research. My bookmarks, Twitter saves, and browser tabs became bloated with unread sources. I tried keeping them in Notion and Obsidian, but manually organizing everything felt like a slow process.
So, I built Trisynapse to be the tool I actually wanted to use. It's a completely local-first, Bring-Your-Own-Keys (BYOK) desktop workspace.
Here is how it works:
- Builds a private digital brain: You point the app to a folder on your computer (your "vault"), and everything - your PDFs, text extractions, vector embeddings, and concept maps stays right there. No accounts, no subscriptions, no cloud sync. - Does the reading and synthesizing for you: Once you add files or links, it auto-extracts the clean text, maps connections, and compiles everything into interlinked, self-updating Markdown wiki pages. - Scans for updates in the background: You can set up keyword alerts, and the app will quietly scan Arxiv, Tavily, and X in the background to surface new discoveries. - Keeps you in one place: Instead of jumping between ten apps, you have a split-screen browser (with sidebar chat), a floating AI assistant, and an infinite whiteboard canvas (powered by Excalidraw) for sketching out notes.
Since this is a fresh MVP, I would love to know: Does this workflow fit into how you read or research?
Additionally, as I look to scale the vision for Trisynapse, I am currently looking for investments and potential co-founders who want to take Trisynapse further. If you or anyone in your network might be interested in collaboration, I would love to chat further.
Finally tried it for an hour with some research papers and the concept graph actually connected ideas I had not linked in my own notes. The split-view browser next to the canvas felt really natural for working through sources.
how does the concept graph actually work when you throw in a messy mix of PDFs, video transcripts, and random notes — does it figure out connections on its own or do you have to manually link things first?
About Trisynapse on Product Hunt
“Turn your scattered sources into a digital brain”
Trisynapse was submitted on Product Hunt and earned 6 upvotes and 5 comments, placing #140 on the daily leaderboard. Trisynapse is a local-first, BYOK AI research workspace. Turn scattered papers, PDFs, bookmarks, notes & videos into a private digital brain. The app auto-summarizes, maps concept graphs, and compiles sources into auto-updating wikis. Work seamlessly with a built-in split-view Browser, local retrieval Chat, AI Assistants, and infinite Canvas whiteboards for note-taking. 100% offline-first (except AI API calls) and private: your vault stays on your machine
Trisynapse was featured in Productivity (655.6k followers), Notes (8.3k followers) and Developer Tools (515.4k followers) on Product Hunt. Together, these topics include over 223.6k products, making this a competitive space to launch in.
Who hunted Trisynapse?
Trisynapse was hunted by Shanmukh G. 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 Trisynapse stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Shanmukh G
Hey Product Hunt 👋, Shanmukh here, developer of Trisynapse.
To be honest, I built this because I was losing my mind trying to keep up with the new AI and LLM research. My bookmarks, Twitter saves, and browser tabs became bloated with unread sources. I tried keeping them in Notion and Obsidian, but manually organizing everything felt like a slow process.
So, I built Trisynapse to be the tool I actually wanted to use. It's a completely local-first, Bring-Your-Own-Keys (BYOK) desktop workspace.
Here is how it works:
- Builds a private digital brain: You point the app to a folder on your computer (your "vault"), and everything - your PDFs, text extractions, vector embeddings, and concept maps stays right there. No accounts, no subscriptions, no cloud sync.
- Does the reading and synthesizing for you: Once you add files or links, it auto-extracts the clean text, maps connections, and compiles everything into interlinked, self-updating Markdown wiki pages.
- Scans for updates in the background: You can set up keyword alerts, and the app will quietly scan Arxiv, Tavily, and X in the background to surface new discoveries.
- Keeps you in one place: Instead of jumping between ten apps, you have a split-screen browser (with sidebar chat), a floating AI assistant, and an infinite whiteboard canvas (powered by Excalidraw) for sketching out notes.
Since this is a fresh MVP, I would love to know: Does this workflow fit into how you read or research?
Additionally, as I look to scale the vision for Trisynapse, I am currently looking for investments and potential co-founders who want to take Trisynapse further. If you or anyone in your network might be interested in collaboration, I would love to chat further.
Ask questions, give feedback, and suggestions!!
Best,
Shanmukh