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).
Most AI agents rely on fragile vision models or DOM scrapers. They’re slow, expensive, and break the second a UI changes. Nelieo (NSP) is an OS-level Rust daemon that hooks directly into runtime memory (JVM, V8, CLR). It bypasses pixels completely, letting agents read state and execute actions in memory. Key features: • 85ms execution latency • 96% token cost reduction • 100% deterministic (no UI fragility) • Works across Java, V8, and CLRNET apps Pure memory speed for AI agents.
Hey! 👋
I built Nelieo out of frustration. Every time I tried building reliable computer-use agents, they’d fail because an app UI shifted by a few pixels or loaded too slowly. Relying on vision models to click buttons on a screen just felt like the wrong architecture.
So I went heads-down into low-level systems engineering to build a Rust daemon that hooks directly into runtime memory (JVM, V8, CLR).
Instead of an agent looking at a screen, Nelieo attaches to the process, extracts the raw callable actions in milliseconds, and lets the agent invoke them directly. No visual overhead, 96% fewer tokens, and sub-100ms latency.
Would love for you all to check it out, try it on your own stacks, and ask any technical questions!
No comment highlights available yet. Please check back later!
About Nelieo NSP on Product Hunt
“Strip the UI. Unleash AI agents at full throttle.”
Nelieo NSP was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #45 on the daily leaderboard. Most AI agents rely on fragile vision models or DOM scrapers. They’re slow, expensive, and break the second a UI changes. Nelieo (NSP) is an OS-level Rust daemon that hooks directly into runtime memory (JVM, V8, CLR). It bypasses pixels completely, letting agents read state and execute actions in memory. Key features: • 85ms execution latency • 96% token cost reduction • 100% deterministic (no UI fragility) • Works across Java, V8, and CLRNET apps Pure memory speed for AI agents.
Nelieo NSP was featured in Developer Tools (517.3k followers), Artificial Intelligence (475.7k followers) and Tech (629.8k followers) on Product Hunt. Together, these topics include over 359.2k products, making this a competitive space to launch in.
Who hunted Nelieo NSP?
Nelieo NSP was hunted by Shourya. 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.
Want to see how Nelieo NSP stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Shourya