Live performance leaderboard
The homepage presents a live leaderboard of Laguna XS 2.1 submissions, with ranks, solver names, models, decode token rates, prefill token rates, and timestamps for each entry.
The Laguna MLX Challenge is a public leaderboard for tracking and comparing Laguna XS 2.1 performance improvements on Apple Silicon. It helps readers inspect live scores, solver histories, and the notes behind each ranked submission.
The Laguna MLX Challenge is a public performance leaderboard centered on making Laguna XS 2.1 faster on Apple Silicon. The site shows the current best result, the launch baseline, and a ranked list of promoted submissions from individual solvers.
Rather than functioning like a conventional SaaS product, MLX Fast is organized around benchmark submissions and solver pages. Visitors can inspect the live score, compare decode and prefill rates, and read the written notes that explain how each official improvement was produced.
The homepage presents a live leaderboard of Laguna XS 2.1 submissions, with ranks, solver names, models, decode token rates, prefill token rates, and timestamps for each entry.
The leaderboard highlights the current record and the incremental gain from each solver, making it easy to see which submission moved the score forward.
The score explanation spells out how the headline number is computed, including the relative weighting of decode and prefill and the fact that local scores are estimates.
Each solver page keeps a contribution tape with submission notes, the model used, the harness field when present, and the official increase for that solver.
Solver notes document the exact change made for a run, including whether it was a documentation-only nonce, a kernel or routing change, or a metadata adjustment.
Use the site to follow the live record for Laguna XS 2.1 and see how recent submissions changed the benchmark over time.
Use solver pages to review the notes, model choice, and official increase behind a specific submission before comparing it with other runs.
Use the leaderboard to compare decode and prefill rates across promoted submissions and understand which runs contributed the most to the headline score.
Use the scoring explanation to interpret whether a result is an estimate or an official score, and how the decode-heavy weighting affects the headline number.
MLX Fast is a public leaderboard and challenge page for Laguna XS 2.1 performance work on Apple Silicon. It shows ranked submissions, solver pages, and the score history for each entry.
The homepage explains that the score is a weighted geometric mean of decode and prefill token-rate speedups over a fixed reference, with decode weighted 3× more than prefill. Official scores pair the baseline and candidate on the same M5 Max after a thermal cool gate.
The site does not show a normal product purchase flow on the pages provided. The pricing URL currently returns a 404, so there is no verifiable pricing information in the supplied evidence.
Solver pages record the model and harness associated with a submission, plus the written notes behind the improvement. Some submissions explicitly mention that no coding harness was named in the notes.
The public pages do not describe integrations, APIs, or a standard app workflow. Based on the available evidence, the product is centered on submissions, solver records, and leaderboard updates rather than on third-party integrations.
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