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 Thumbnail

Byte

Your local AI model or API key in a customizable llm chatbox

API
Developer Tools
GitHub
Visit WebsiteSee on Product HuntGithub

Hunted byByteByte

Run Llama, Mistral, and other AI models locally for free, right on your machine. Or bring your own API key for GPT-5, Claude, and Gemini. One app, no subscription, no limits.

Top comment

The fact that you can swap between local models and API keys without leaving the app is such a thoughtful UX choice. Makes experimenting with different models actually fun instead of a chore.

Comment highlights

Finally something that just lets me run local models without a bunch of setup nonsense. The fact that I can switch between my own Llama setup and GPT-5 with the same interface is honestly kind of perfect.

finally a no-nonsense way to run llama and mistral locally without juggling a dozen setups. switched from my usual workflow in about ten seconds, really nice.

A model comparison view would be super useful, like a split screen where I can run the same prompt through Llama and Mistral side by side and see the responses next to each other. Would make picking the right model way easier.

Love how simple this is for running local models without juggling terminals. One thing that would make it even better is built-in benchmark scoring, so you can see tokens per second and memory usage across different models side by side and know which one actually fits your hardware best.

Finally, a desktop app that treats local models as a first-class option instead of a buried setting. Love that the UI stays identical whether I'm running Llama on my laptop or pointing it at my own Claude key.

A nice no-nonsense wrapper. One thing that would really help me is a built-in model benchmark panel that shows tokens/sec, VRAM usage, and first-token latency right in the chat window, so I can compare Llama and Mistral runs without alt-tabbing to the terminal.

Finally a clean way to run Llama locally without fighting config files, and swapping in my own OpenAI key took like two seconds. Solid little app.

Love how it just lets you pick a model and go, no account wall or upsell in sight. The single window that handles both local and API models feels like the kind of thoughtful UX most AI tools skip.

Finally gave it a spin on my laptop and it pulled down a 7B Llama model way faster than I expected, ran completions smoothly without choking my fans. Nice to have a single place for local models and API keys without juggling five different apps.

Would love to see a built-in model benchmarking tool so I can compare inference speed and memory usage across different models on my hardware before committing to one.

love that it skips the subscription trap entirely and just lets you point at whatever model you want, local or paid. the bring-your-own-key approach feels like exactly how this kind of tool should work

finally something that just runs llama locally without making me fight with a terminal setup. pulled it down on my laptop and mistral loaded in like a minute, no fuss at all.

Local model support that just works without the usual Python venv nightmare is a real gift. Love that you didn’t bury it behind a subscription wall.

About Byte on Product Hunt

Your local AI model or API key in a customizable llm chatbox

Byte was submitted on Product Hunt and earned 23 upvotes and 28 comments, placing #31 on the daily leaderboard. Run Llama, Mistral, and other AI models locally for free, right on your machine. Or bring your own API key for GPT-5, Claude, and Gemini. One app, no subscription, no limits.

Byte was featured in API (98.4k followers), Developer Tools (516.3k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 113.5k products, making this a competitive space to launch in.

Who hunted Byte?

Byte was hunted by Byte. 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 Byte stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.