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).
Docubix
Turn your docs into an AI assistant that cites its sources
Upload PDFs and documents to create AI assistants that answer questions using your own content-with cited sources. Deploy through our dashboard or REST API in minutes, without building or maintaining a RAG pipeline.
Hi everyone! I'm Toheed, the solo founder behind Docubix.
Every company already has the answers - they're just scattered across PDFs, docs, help centers, and internal files. Finding them shouldn't require weeks of RAG infrastructure work.
Docubix lets you upload your existing content and get an AI assistant that answers questions from it - with cited sources - through our dashboard or a REST API. No pipeline to build, no models to fine-tune.
It's built first for customer support and internal knowledge teams, and works well for SaaS docs and course/coaching content too.
I'd love your feedback:
- Where does the upload → ask-a-question flow feel unclear?
- What would make you trust an AI-generated answer enough to show it to your customers?
- Would you reach for an API integration first, or an embeddable widget?
I'll be here all day to answer everything. Thanks for checking out Docubix.
How does the pricing scale with the number of documents or queries, and is there a cap on file size or pages per upload?
The cited sources in the answer view look really well integrated, the inline references feel native rather than tacked on. Nice execution on something a lot of RAG tools fumble.
About Docubix on Product Hunt
“Turn your docs into an AI assistant that cites its sources”
Docubix was submitted on Product Hunt and earned 6 upvotes and 5 comments, placing #141 on the daily leaderboard. Upload PDFs and documents to create AI assistants that answer questions using your own content-with cited sources. Deploy through our dashboard or REST API in minutes, without building or maintaining a RAG pipeline.
Docubix was featured in SaaS (43k followers), Artificial Intelligence (473.1k followers) and Search (18.1k followers) on Product Hunt. Together, these topics include over 157.4k products, making this a competitive space to launch in.
Who hunted Docubix?
Docubix was hunted by Toheed. 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 Docubix stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Toheed
Hi everyone! I'm Toheed, the solo founder behind Docubix.
Every company already has the answers - they're just scattered across PDFs, docs, help centers, and internal files. Finding them shouldn't require weeks of RAG infrastructure work.
Docubix lets you upload your existing content and get an AI assistant that answers questions from it - with cited sources - through our dashboard or a REST API. No pipeline to build, no models to fine-tune.
It's built first for customer support and internal knowledge teams, and works well for SaaS docs and course/coaching content too.
I'd love your feedback:
- Where does the upload → ask-a-question flow feel unclear?
- What would make you trust an AI-generated answer enough to show it to your customers?
- Would you reach for an API integration first, or an embeddable widget?
I'll be here all day to answer everything. Thanks for checking out Docubix.