Classer
classer.ai →You're overpaying 100x for 90% of your AI tasks
WHAT IT SOLVES
Every time you classify a support ticket, detect spam, or tag a product, you're spinning up a general-purpose LLM — like driving a tank to buy groceries
WHY IT'S INTERESTING
Not a general model — a dedicated classification engine
The author splits AI tasks into two camps: reasoning (coding, writing) and classification (intent, sentiment, spam). He bets the second camp is 90% of calls — and shouldn't run on the same engine. So Classer does one thing: classify. Self-calibrating, zero-shot, no prompt engineering needed
<200ms latency, beats GPT-5.4-mini on accuracy
This isn't a fine-tuned general model slapped with a new name. There are public benchmarks: under 200ms latency, up to 100x cheaper, and accuracy that beats GPT-5.4-mini. Purpose-built engine, numbers to back it up
Built for their own apps, now open to everyone
The site says it straight: 'Built for our own apps. Now open to everyone.' Not a product built for the API market first — they built it for themselves, got it working, then opened it up
「A dedicated engine for the 90% of AI tasks」
TECH GUESS
Likely a custom distilled transformer variant for classification, Next.js frontend, probably Go or Rust API layer to hit the latency targets
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