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).
VaultSeek is a local-first AI semantic search app for your PDFs, docs, and text files. Instead of searching by exact keywords, VaultSeek helps you find local files by meaning. Search for “how to manage investment risk” and it can surface notes about portfolio rebalancing, cash flow, stop-loss rules, or asset allocation — even if those exact words are not in your query. powered by a compact local ONNX embedding model, and designed for privacy-first workflows. Your files stay on your machine.
Hey Product Hunt,
I built VaultSeek because my own notes became impossible to search.
I had hundreds of Markdown files, PDFs, drafts, technical notes, research documents, and random folders scattered across my laptop. The problem was not that I had no knowledge — the problem was that I could not find it when I needed it.
Traditional search only works when you remember the exact keyword. But human memory does not work that way. I usually remember the meaning, not the filename.
So I built VaultSeek: a local-first AI semantic search app for personal files.
The current version focuses on the Retrieval part of RAG: fast local indexing, semantic search, preview, and opening the original file quickly. It supports Markdown, TXT, PDF, and DOCX files, runs locally, and keeps your data on your machine.
Built with Rust + Tauri, powered by a compact local ONNX embedding model, and designed for people who want to reclaim their digital knowledge without uploading everything to the cloud.
GitHub:
https://github.com/VariableLab/V...
Would love to hear your feedback.
No comment highlights available yet. Please check back later!
About VaultSeek on Product Hunt
“Local AI search for your messy files”
VaultSeek was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #126 on the daily leaderboard. VaultSeek is a local-first AI semantic search app for your PDFs, docs, and text files. Instead of searching by exact keywords, VaultSeek helps you find local files by meaning. Search for “how to manage investment risk” and it can surface notes about portfolio rebalancing, cash flow, stop-loss rules, or asset allocation — even if those exact words are not in your query. powered by a compact local ONNX embedding model, and designed for privacy-first workflows. Your files stay on your machine.
VaultSeek was featured in Productivity (652.8k followers), Privacy (11.1k followers), GitHub (41.2k followers) and Search (18k followers) on Product Hunt. Together, these topics include over 168k products, making this a competitive space to launch in.
Who hunted VaultSeek?
VaultSeek was hunted by xu liu. 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 VaultSeek stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
xu liu