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).
WolfeWriter is a native Mac app for fiction writers. It keeps the manuscript central while extracting candidate story memory, supporting semantic search, and helping build a story graph from long-form fiction. The focus is control: extracted facts are linked back to manuscript evidence and stay review-gated until the writer accepts them.
Hi Product Hunt, I built WolfeWriter because I wanted AI writing support that did not turn the app into a chatbot or silently mutate the story.
The core problem I am working on is narrative state: extracting characters, relationships, events, and continuity facts from long manuscripts, including multilingual prose, then making those facts useful through semantic search and a story graph.
WolfeWriter keeps this review-gated. Extracted facts start as candidates linked to manuscript evidence. The writer can accept, ignore, or revise them before they become stronger memory.
I’d love feedback from fiction writers, Mac app users, and anyone who has worked on semantic search, entity extraction, knowledge graphs, or long-document retrieval.
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About WolfeWriter on Product Hunt
“Story memory for long-form fiction writers”
WolfeWriter was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #157 on the daily leaderboard. WolfeWriter is a native Mac app for fiction writers. It keeps the manuscript central while extracting candidate story memory, supporting semantic search, and helping build a story graph from long-form fiction. The focus is control: extracted facts are linked back to manuscript evidence and stay review-gated until the writer accepts them.
WolfeWriter was featured in Writing (59.3k followers) on Product Hunt. Together, these topics include over 11.5k products, making this a competitive space to launch in.
Who hunted WolfeWriter?
WolfeWriter was hunted by Zhengpeng Hou. 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.
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Zhengpeng Hou