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NeonCore
Privacy-first AI assistant for Windows
NeonCore is a Windows desktop AI assistant that analyzes your documents locally. Files are parsed on your own machine and never uploaded to external servers. Built for people handling sensitive material like legal, medical or financial documents.
Hi everyone, I'm Aykan, the solo developer behind NeonCore.
Every AI tool I tried wanted me to upload the document first. That's fine for a shopping list. It's not fine for a court file, a medical report, or a contract with someone's personal data in it.
So NeonCore works the other way round. The file is parsed on your own machine and never leaves it. Only the question you ask goes out.
Most recently I've been extending this into healthcare. NeonCore now speaks FHIR R4, so it can query a hospital's own records server directly instead of anything being copied into a third party system. It runs against a self-hosted FHIR server, which means the patient data stays inside the institution that already holds it.
Windows desktop app, built entirely on my own with no team and no funding. I'd like to hear where it falls short, especially from anyone who handles sensitive documents for a living.
About NeonCore on Product Hunt
“Privacy-first AI assistant for Windows”
NeonCore was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #124 on the daily leaderboard. NeonCore is a Windows desktop AI assistant that analyzes your documents locally. Files are parsed on your own machine and never uploaded to external servers. Built for people handling sensitive material like legal, medical or financial documents.
On the analytics side, NeonCore competes within Windows, Productivity and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how NeonCore performed against the three products that launched closest to it on the same day.
Who hunted NeonCore?
NeonCore was hunted by Aykan Kömürcü ⚡️. 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 NeonCore including community comment highlights and product details, visit the product overview.
Aykan Kömürcü ⚡️
Hi everyone, I'm Aykan, the solo developer behind NeonCore.
Every AI tool I tried wanted me to upload the document first. That's fine for a shopping list. It's not fine for a court file, a medical report, or a contract with someone's personal data in it.
So NeonCore works the other way round. The file is parsed on your own machine and never leaves it. Only the question you ask goes out.
Most recently I've been extending this into healthcare. NeonCore now speaks FHIR R4, so it can query a hospital's own records server directly instead of anything being copied into a third party system. It runs against a self-hosted FHIR server, which means the patient data stays inside the institution that already holds it.
Windows desktop app, built entirely on my own with no team and no funding. I'd like to hear where it falls short, especially from anyone who handles sensitive documents for a living.