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Show HN: Sunk Cost – How long until a local LLM rig pays for itself? I kept hearing "just buy a Mac and run models locally, it pays for itself" and wanted to check. Sunk Cost takes a machine, a model and how many tokens you use a day, and works out how long the hardware takes to pay back against renting the same model by the token. Obviously there are other reasons to buy your own hardware aside from just saving money on llms but this is just looking at it from a raw cost saving perspective. If you have any ideas on how I can make this more helpful lmk! Comments URL: [https://news.ycombinator.com/item?id=49706656][1] Points: 15 # Comments: 6 [1]:
Show HN: Pelican-bicycle alternatives In November and December 2025, inspired by Simon Willison’s pelican-riding-a-bicycle benchmark, I had some then-current LLMs create SVGs from thirty similar prompts, such as “Generate an SVG of an octopus operating a pipe organ.” Simon mentioned that experiment on his blog [1]. Nine months have passed and much stronger models have been released, so I tried the experiment again today. The linked site shows the results. Running ten of the prompts through six models at OpenRouter cost about twenty dollars, so I stopped there for now. [1] [https://simonwillison.net/2025/Nov/25/][1] Comments URL: [https://news.ycombinator.com/item?id=49696402][2] Points: 103 # Comments: 40 [1]: [2]: