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).
Corpus
Harvest excerpts from your corpus (without AI flattening)
LLMs notoriously struggle with citing sources and tend to flatten when they mix sources and provide general summaries. There's a better way for simply recalling your own corpus. With Corpus, you can upload files within projects and search for excerpts. The search matches semantically, making it more powerful than typical searches but more focused than LLMs.
Hey there!
One day, I found myself testing the assumption that using LLMs for everything is inherently better.
In fact, I didn't want AI to steer my thinking by provided answers that synthesize its general knowledge and my context. I want to maintain control over the curation of digital artifacts and my own intelligence.
With all the noise about LLMs, people forget that search capabilities has dramatically improved. There are contemporary advancements that can improve your learning workflows without robbing your intelligence of its autonomy.
That's why I built Corpus. Corpus is a powerful semantic search on top of digital files that you explicitly upload and organize.
If you're a writer that wants to quickly find where you've written about something before, a student studying for an exam, or a researcher looking to easily find direct, relevant passages, then Corpus is meant for you.
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About Corpus on Product Hunt
“Harvest excerpts from your corpus (without AI flattening)”
Corpus was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #76 on the daily leaderboard. LLMs notoriously struggle with citing sources and tend to flatten when they mix sources and provide general summaries. There's a better way for simply recalling your own corpus. With Corpus, you can upload files within projects and search for excerpts. The search matches semantically, making it more powerful than typical searches but more focused than LLMs.
Corpus was featured in Productivity (663k followers), Notes (8.4k followers) and Tech (634.5k followers) on Product Hunt. Together, these topics include over 343k products, making this a competitive space to launch in.
Who hunted Corpus?
Corpus was hunted by Michael Mangialardi. 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 Corpus stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.