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).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
Maliklang-V3
Offline Neuro-AI EEG Thought Decoder Engine
Maliklang-V3 is an independent, offline Neuro-AI thought decoder engine for non-verbal patients. It decodes raw EEG brainwaves into synthetic speech in real-time. Highlights: - 100% offline edge inference - SciPy real-time EEG noise filtering - Volatile RAM encryption using Fernet - Post-inference hard zero-fill RAM wipe - Secure async FastAPI bedside telemetry Built using Python, FastAPI, SciPy, and Cryptography.
Hi Product Hunt community! Maliklang-V3 is a fully independent, 100% offline Neuro-AI engine built to translate raw EEG brainwave signals into synthetic speech for non-verbal patients.
By running completely on the edge without external cloud reliance, it ensures zero latency and absolute medical data privacy, backed by a military-grade transient encryption shield and an automated post-inference RAM wipe.
I built this to break the boundaries of modern neural decoding. Excited to hear your feedback!
About Maliklang-V3 on Product Hunt
“Offline Neuro-AI EEG Thought Decoder Engine”
Maliklang-V3 was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #113 on the daily leaderboard. Maliklang-V3 is an independent, offline Neuro-AI thought decoder engine for non-verbal patients. It decodes raw EEG brainwaves into synthetic speech in real-time. Highlights: - 100% offline edge inference - SciPy real-time EEG noise filtering - Volatile RAM encryption using Fernet - Post-inference hard zero-fill RAM wipe - Secure async FastAPI bedside telemetry Built using Python, FastAPI, SciPy, and Cryptography.
On the analytics side, Maliklang-V3 competes within Health & Fitness, Open Source, Artificial Intelligence and GitHub — topics that collectively have 673.5k followers on Product Hunt. The dashboard above tracks how Maliklang-V3 performed against the three products that launched closest to it on the same day.
Who hunted Maliklang-V3?
Maliklang-V3 was hunted by Shailendra Kumar Singh . 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 Maliklang-V3 including community comment highlights and product details, visit the product overview.
Shailendra Kumar Singh 