(Disclosure: I built and run both of these. Full self-promo disclosure per rule 1.)
Two small datasets I maintain and publish as static JSON, both free, no key, no rate limit, CC BY (just cite the source):
observatory.mordo.ai/data.json – joins real eBay sold prices for used GPUs (refreshed twice monthly) with community llama.cpp benchmark results run on the same models across cards, to compute the metric nobody else publishes: tokens/sec per $100. Current standout is the ~$80 Tesla P100 at ~73 tok/s per $100 on 7-8B models. Most price trackers have zero performance data, most benchmark sites have zero price data, this joins them.
registry.mordo.ai/data.json – a permanent, sourced record of smart-home devices bricked or degraded by a vendor cloud shutdown (Revolv, Wink, Nest Secure, Dropcam, Logitech’s Squeezebox/UE SmartRadio, 16 entries so far), plus a smaller device catalog scored on how much they depend on the cloud vs. working fully local. Every tombstone entry links its sources- no unsourced claims.
Both regenerate nightly off a SQLite backend, no manual curation lag. Repo (Python + SQLite + cron, no Docker required): github.com/tekzer0/instruments -PRs welcome if you know of a cloud-death or device that should be tracked.
Happy to answer questions on the methodology (how prices/benchmarks get matched, how tombstones get sourced/verified) or take requests for fields to add to the JSON.
submitted by /u/tekzer0
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