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Show HN: Tokspur a 3x faster open source inference engine for Macs

While we were trying to solve a separate problem, we ended up on a bit of a side quest and built an inference engine. We got ourselves some nice, shiny new Mac M5 Max 128GB machines while doing a lot of local LLM work for another project and ended up wanting to run some bigger models. When we were running models for coding, we noticed a few improvements that we might be able to make around repetition between turns. After that, the whole thing got a little out of hand, and we ended up writing our

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Source record

Recorded metrics

points · 3 votes
2026-11-10 13:00:31.075Z
cumulative since publication

Research analysis

Project record

Repository: san-digital/tokspur. Source account: While we were trying to solve a separate problem, we ended up on a bit of a side quest and built an inference engine. We got ourselves some nice, shiny new Mac M5 Max 128GB machines while doing a lot of local LLM work for another project and ended up wanting to run some bigger models. When we were running models for coding, we noticed a few improvements that we might be able to make around repetition between turns. After that, the whole thing got a little out of hand, and we ended up writing our

Observed adoption & comparisons

Source votes: 3 votes (Nov 10, 2026 UTC; cumulative since publication) Recent records to compare: “anthropics/claude-quickstarts” (GitHub Trending, Nov 10, 2026); “Show HN: Qitt – A proactive AI chief of staff built on T3 Code” (Show HN, Nov 10, 2026). Shared themes are navigation hints; they have not been verified as the same need or independent corroboration.

Adoption decision

Evaluate it against the tool or manual workflow it would replace. The stored record supports discovery; it does not yet establish reliability, lower operating cost or commercial adoption.

Unverified requirements

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Next test

Choose one real task and a current alternative. Record the commit, environment, input, output, elapsed time and failure behavior; retain the result before recommending adoption.