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Drop your bank & utility CSVs, go to bed 🦥 By morning, Napper's local TabPFN-3.5 foundation model delivers an audio brief. It caught a +706% water burst on Day 1 and a gym hike.

Developer Ansuj Kumar Meher built Napper, a fully offline agent that ingests bank and utility CSVs and uses a local TabPFN-3.5 foundation model to generate an audio brief overnight. In its first day of operation the agent flagged a +706% water-usage spike and a gym membership price hike, running at zero API cost.

by read1 min views1 publishedOct 25, 2026

I built an agent that works while I sleep. It found a pipe leak, a price hike, and a subscription I forgot I had. Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady Submission 🦥 Ansuj Kumar Meher Ansuj Kumar Meher Ansuj Kumar Meher Follow Oct 25 I built an agent that works while I sleep. It found a pipe leak, a price hike, and a subscription I forgot I had.

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ai 1 reaction Add Comment 7 min read

source & further reading
dev.to — original article SlothDesk: Your Local AI File Organizer That Does the Heavy Lifting 5 things to agree before any AI pilot Blender to Three.js Workflow: An AI Agent's Headless Review
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