I let an open model delete 1,242 of my saved articles. On purpose. I feel lighter.

说明与用途

Unpile 是一个本地代理，自动对“稍后阅读”列表进行分类，删除几乎所有项目，只保留用户真正会阅读的内容，从而节省时间并减少内疚感。

问题

A large read‑later backlog (1,247 items) creates guilt and wasted time because most items are never read.

结果

Unpile removed 1,242 of 1,247 saved articles, keeping only the ones the author would actually read, and produced a calm two‑line digest, freeing 5.5 hours of reading time.

工作流

• Export read‑later items to a CSV or similar format
• Run Unpile locally on the laptop with Wi‑Fi off
• Unpile learns the author’s reading history with TabPFN‑v2
• For each item it outputs a keep/skim/drop decision with probability and reason
• It writes a two‑line morning digest of keepers
• It silences all other items so the author wakes up to a concise list

证据

Unpile is a local triage agent for your read‑later backlog.

来源

It reads 14 saved items, keeps the 5 worth my morning, flags 1 maybe, and silences 8, handing back 5.5 hours of reading time I was lying to myself about.

来源

Unpile is a 100% local agent that triages your read‑later backlog with TabPFN‑v2 and Gemma 3, keeping only the few articles worth your morning.

来源