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).
Free, open source menu bar app that turns Ollama and Splash on and off in one click and unloads idle models from memory. It stops Ollama the way it started (Ollama.app, brew services or ollama serve). No accounts, no telemetry. macOS 14+.
Hi Product Hunt! 👋 I'm Erik.
I run local models with Ollama on my Mac, and a loaded model can hold 15–20 GB of memory long after I've stopped using it. Killing the process didn't always work either: with brew services, a LaunchAgent brings it right back.
So I built ModelNap, a tiny native menu bar app:
• One click (or ⌥⌘O) turns Ollama on or off, using the same mechanism it started with
• Idle models are unloaded after 5–60 minutes; Ollama stays on and reloads them on the next message
• New in 1.3: it also controls Splash (Inco AI), shows its real memory, and makes room by unloading Ollama first
• No accounts, no telemetry, nothing sent to the internet. MIT licensed.
It's free and open source. llama.cpp support is next on the list, so tell me how you run your local models!
Love the idea behind ModelNap, especially how simple it makes managing local models without adding more complexity.
Also, Erik is one of those founders who’s genuinely involved with his community, always answering questions, sharing knowledge, and helping others.
Congrats on the launch, Erik! 👏
About ModelNap on Product Hunt
“Your local AI, on only when you use it”
ModelNap was submitted on Product Hunt and earned 5 upvotes and 2 comments, placing #62 on the daily leaderboard. Free, open source menu bar app that turns Ollama and Splash on and off in one click and unloads idle models from memory. It stops Ollama the way it started (Ollama.app, brew services or ollama serve). No accounts, no telemetry. macOS 14+.
ModelNap was featured in Mac (103.7k followers), Open Source (68.9k followers), Artificial Intelligence (479.9k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 181.3k products, making this a competitive space to launch in.
Who hunted ModelNap?
ModelNap was hunted by Erik Taveras. 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 ModelNap stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Erik Taveras