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AuroraDigest
AI-powered literature tracking for scientists
Scientists waste hours every week finding and tracking relevant scientific papers. Aurora Digest puts your literature review on autopilot. Describe your research topic in plain English, and our AI builds optimized Boolean query 'radars' monitoring over 250M publications (OpenAlex). Filter results by date, citations, or 'trending impact,' and use our automated extraction matrix to instantly distill methodologies and key findings. Stop searching, start discovering
Hi Product Hunt! I'm Aisien, creator of Aurora Digest. This launch actually coincides with my recent birthday (Sep 6th), and I couldn’t think of a better personal gift than finally deploying this project. I was tired of getting lost in a sea of academic papers during literature reviews. keyword searches are exhaustive and imprecise. I wanted a tool that would act as 'first light' in my research, finding the most relevant breakthroughs effortlessly. After months of building, iterating on query optimization, and perfecting the data extraction matrix, I'm thrilled to share this with you. Aurora Digest is here to free up time for what scientists do best: discovery. We are at the very dawn of our journey, and I’m eager for your constructive feedback. What is the single biggest pain point in your academic workflow? Let's discuss!
About AuroraDigest on Product Hunt
“AI-powered literature tracking for scientists”
AuroraDigest was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #149 on the daily leaderboard. Scientists waste hours every week finding and tracking relevant scientific papers. Aurora Digest puts your literature review on autopilot. Describe your research topic in plain English, and our AI builds optimized Boolean query 'radars' monitoring over 250M publications (OpenAlex). Filter results by date, citations, or 'trending impact,' and use our automated extraction matrix to instantly distill methodologies and key findings. Stop searching, start discovering
On the analytics side, AuroraDigest competes within Productivity, Artificial Intelligence and Science — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how AuroraDigest performed against the three products that launched closest to it on the same day.
Who hunted AuroraDigest?
AuroraDigest was hunted by Aisien Solovev. 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 AuroraDigest including community comment highlights and product details, visit the product overview.