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LocalXiv
Research papers, explained visually.
LocalXiv turns arXiv and alphaXiv links into a paper library on your Mac. Read with adjustable fonts and layouts, explore visual overviews and cited explanations, and export papers or explanations for Kindle. Free and open source. Reading and export need no AI account; optional AI uses your own provider and API key.
Hi, I’m Akhil, and I worked on LocalXiv. I built it to make research papers easier to understand and more comfortable to read. You can start with a visual overview, move to a longer explanation with source references, and then read the paper itself in a customizable reader.
It also supports exports for reading outside the app, including on Kindle. This is an early macOS release. Your library is stored locally; optional AI features use your selected provider and API key.
This is an early preview. Conversion can be imperfect, and AI explanations can contain mistakes. The Mac build is not notarized yet; first-launch instructions are in the repository. I’m particularly interested in feedback on whether the explanations preserve the paper’s actual contribution and limitations, and where the import-to-reading experience becomes confusing.
About LocalXiv on Product Hunt
“Research papers, explained visually.”
LocalXiv was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #143 on the daily leaderboard. LocalXiv turns arXiv and alphaXiv links into a paper library on your Mac. Read with adjustable fonts and layouts, explore visual overviews and cited explanations, and export papers or explanations for Kindle. Free and open source. Reading and export need no AI account; optional AI uses your own provider and API key.
On the analytics side, LocalXiv competes within Productivity, Open Source, Developer Tools, GitHub and OpenAI Day — topics that collectively have 1.3M followers on Product Hunt. The dashboard above tracks how LocalXiv performed against the three products that launched closest to it on the same day.
Who hunted LocalXiv?
LocalXiv was hunted by Akhil Theerthala. 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.
For a complete overview of LocalXiv including community comment highlights and product details, visit the product overview.
Akhil Theerthala
Hi, I’m Akhil, and I worked on LocalXiv.
I built it to make research papers easier to understand and more comfortable to read. You can start with a visual overview, move to a longer explanation with source references, and then read the paper itself in a customizable reader.
It also supports exports for reading outside the app, including on Kindle.
This is an early macOS release. Your library is stored locally; optional AI features use your selected provider and API key.
This is an early preview. Conversion can be imperfect, and AI explanations can contain mistakes. The Mac build is not notarized yet; first-launch instructions are in the repository. I’m particularly interested in feedback on whether the explanations preserve the paper’s actual contribution and limitations, and where the import-to-reading experience becomes confusing.