source&pool
A daily wire of long-form journalism, video, and discourse — filed, tagged, and laid out flat.
VOL. I·NO. 01
MONDAY, OCTOBER 5, 2026
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  1. 021Hacker NewsSEP · 28English

    Show HN: PaperMono, e-ink fridge magnet shopping list with mobile web page

    PaperMono is firmware for an ESP32-S3 e-paper device that syncs a household shopping list between a fridge-mounted display and a mobile web app, featuring low-power Wi-Fi networking, touch UI with partial e-paper refreshes, and optional Claude-powered auto-sorting of items by store aisle.

    By Seamusc
  2. 022Hacker NewsSEP · 28English

    Does Reddit have an astroturfing problem? What the data suggests

    An analysis of Reddit knife subreddits reveals potential astroturfing: one chef's knife brand receives 31% of product recommendations from just 5% of accounts, four times the statistical baseline. The author developed a named-entity model to track brand mentions across six knife-focused subreddits and examined whether concentrated recommendations exhibit patterns consistent with paid promotional campaigns.

    By Peter Vijeh
  3. 023Hacker NewsSEP · 28English

    37,500 border drawings: a map of the world as people remember it

    A visualization project displays 37,500 crowd-sourced border drawings overlaid on a world map, showing how people remember country boundaries compared to actual outlines. The interactive map breaks down submissions by land borders, coastlines, and daily contributions.

    By nicocarsui
  4. 024Hacker NewsSEP · 28English

    AI companies in race to demonstrate their model most threatening to humanity

    This satirical article mocks AI companies competing to demonstrate their models' capacity for harm. OpenAI and Anthropic are portrayed as marketing their AI as increasingly dangerous, with exaggerated claims about autonomous hacking and existential threats, while a researcher notes humanity remains the best hope for ending itself.

    By Ben Uffindell
  5. 025Hacker NewsSEP · 28English

    Self-parking car using genetic algorithm (2021)

    This article describes a project that uses a genetic algorithm to train simulated cars to learn self-parking behavior. The cars are equipped with muscles (engine and steering), sensors (distance detection), and an evolving neural network brain that learns optimal parking movements over generations, with an interactive browser-based simulator available for experimentation.

    By Oleksii Trekhleb