Twitter/X

Before the planned announcement, local.ai went live and viral

Brief

Alex Ocheema quietly put local.ai live on the morning of Aug 6, 2026, and an unexpected referral-driven surge (120 referral links/hour on X; ~1 user onboarded every 10 seconds by @MiaAI_lab) prompted a pause to fix bugs and gather feedback. The site claims 350+ model configs on 10 device types, 3,500+ combos evaluated over 700+ agent tasks each, totaling 2M+ runs, with about $1M invested and verification by @huggingface.

Why it matters

Before the planned announcement, local.ai went live and viral: 120 referral links were shared per hour on X and @MiaAI_lab was onboarding a user every ~10 seconds, forcing the team to pause the site to fix bugs and integrate feedback before reopening (announcement to follow on @localdotai).

Key details

  • The site reports 350+ model configurations tested across 10 device types (including DGX Spark, MacBook, Mac Mini, Mac Studio and RTX cards), producing 3,500+ model/hardware combinations, each evaluated with 700+ real agent tasks for 2M+ total task runs.
  • The project cost close to $1M to build and uses a verification system powered by @huggingface; the author thanks the Local AI community for early feedback from the unexpected mini-launch.
Source evidence

What a crazy day!

I quietly put local.ai live in the morning to make sure everything was working ahead of our announcement and get some early feedback on how people are using it in the wild.

Before I could get to the announcement, people discovered the website and the referral system and started sharing - on reddit, on group chats, on X. There was a race to get referrals to top the leaderboard. People who got referred, then referred more people, who referred even more people. Before I paused the website, there were 120 referral links being shared per hour on X alone. @MiaAI_lab was onboarding a user every ~10 seconds.

We discovered some bugs and got a lot of really great feedback through this unexpected mini-launch. We're going to take a day or two to integrate this feedback before we open up access again. We'll announce as soon as we do that on the @localdotai account. Then the race continues!

The website itself has over 350+ model configs tested on 10 different local devices, including DGX Spark, MacBook, Mac Mini, Mac Studio and RTX cards. It’s the most rigorous benchmark ever done for local hardware, with each model / hardware combination (3,500+) backed by 700+ real agent tasks (2M+ combinations). We then map out everything on cost, energy, end to end task time and intelligence. We spent close to $1M building this.

Thanks for bearing with us. Special thanks to @huggingface for powering the verification system. The Local AI community is amazing.