SiteList review score
Exceptional technical integrity and benchmark-driven content. Undermined by a 30% internal link failure rate and unoptimized asset payloads.
Reviewed on Aug 22, 2026
basecompute.co
Unclaimed listingWhat it does
Local is a macOS application that runs AI inference entirely on-device without cloud dependency or per-token fees. It automatically optimizes performance for Apple Silicon via BaseRT, supports on-machine chat, coding, and meeting transcription, and allows users to connect external API keys for frontier models when needed.
SiteList review score
Exceptional technical integrity and benchmark-driven content. Undermined by a 30% internal link failure rate and unoptimized asset payloads.
Reviewed on Aug 22, 2026
Verified user rating
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No verified reviews yet — the evidence locker is empty.
Captured during our latest review on Aug 24, 2026
Zero per-token fees; uses open local models with the option to connect user-provided API keys for frontier model access. Billed monthly.
| Plan | Price | Details |
|---|---|---|
| Local (Base) | $0 monthly per app | Runs open local models on-device with zero per-token fees. Requires macOS · Uses user-provided API keys for optional frontier models View source |
Chat with files
chat integration
Ask questions, draft writing, and summarize attached PDFs directly within the app.
Code in folder
coding integration
Point the app at a project directory to read, edit, and run code locally without uploading the codebase.
Meetings transcription
meetings integration
Record and transcribe meetings on-device with automatic speaker labeling.
Memory control
memory management
Maintain a visible, editable list of lasting facts about the user; sensitive items are restricted from leaving the Mac.
Office Mode
office integration
Run a large model on a capable machine and access it remotely from Local apps on other laptops in the same workspace.
Chat with files
Ask questions, draft writing, and summarize attached PDFs directly within the app.
Code in folder
Point the app at a project directory to read, edit, and run code locally without uploading the codebase.
Meetings transcription
Record and transcribe meetings on-device with automatic speaker labeling.
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Base Compute claims performance up to 6.4x faster than llama.cpp for prefill operations. These claims are anchored in a formal academic paper (arXiv:2607.00501), providing a high level of technical integrity compared to typical marketing claims.
The product is specifically optimized for AI engineers using Apple Silicon and high-end GPUs. The messaging and technical documentation are tuned for power developers who prioritize on-device performance and privacy.
The site received a 48/100 for performance due to a 3.5MB total payload. This bloat is primarily caused by unoptimized PNG screenshots and render-blocking resources that delay content visibility for users.
While the technical foundation is strong, the site currently lacks social proof and enterprise-specific case studies. It is best suited for individual AI engineers and privacy-focused organizations at this stage.
Answers are based on SiteList's latest evidence review. Read the full review.
Local by Base Compute earns a 78/100, distinguished by its exceptional technical integrity and benchmark-driven content. However, the platform's digital presence is currently undermined by significant infrastructure issues, including a 30% internal link failure rate and unoptimized asset payloads.
Technical substance is high, but infrastructure rot persists.
No reviews yet. The evidence locker is empty.
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