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Manuntençao para Pcs
sábado, 17 de janeiro de 2026
Show HN: A smart camera that detects eye movements during REM sleep https://ift.tt/Uo4ueHM
Show HN: A smart camera that detects eye movements during REM sleep https://ift.tt/bg93ELq January 17, 2026 at 04:45AM
Show HN: Building the ClassPass for coworking spaces, would love your thoughts https://ift.tt/3opYHlq
Show HN: Building the ClassPass for coworking spaces, would love your thoughts Growing up in a family business focused on coworking and shared spaces, I saw that many people were looking for a coworking space to use for a day. They weren't ready to jump into a long-term agreement. So I created LANS to simplify coworking. Our platform allows users to buy a day pass to a coworking space in seconds. The process is simple: book your pass, arrive at the space, give your name at the front desk, and you're in. Where we are Live in San Francisco with several coworking partners. Recently started expanding beyond the Bay. 10K paid users in San Francisco. Day passes priced between $18 and $25. What we’re seeing Users often use this service. They rotate locations during the week to fit their needs and schedules. For spaces, it’s incremental usage and new foot traffic during the workday. Outside dense city centers, onboarding new spaces tends to be faster. Many suburban areas host nice boutique coworking spaces. But, they often miss a strong online presence. Day passes quickly appeal to both operators and users. What we’re working on Expanding to more cities. Adding supply while keeping quality consistent. Learning which product decisions actually improve repeat usage. Would love feedback from HN: Does this resonate with how you work today? Have you used coworking day passes before? Would you dump your coworking membership for this? https://lans.app/ January 17, 2026 at 01:54AM
Show HN: Making Claude Code sessions link-shareable https://ift.tt/UgtedH7
Show HN: Making Claude Code sessions link-shareable Hey HN! My name is Omkar Kovvali and I've been wanting to share my CC sessions with friends / save + access them easily,so I decided to make an MCP server to do so! /share -> Get a link /import -> resume a conversation in your Claude Code All shared sessions are automatically sanitized, removing api keys, tokens, and secrets. Give it a try following the Github/npm instructions linked below - would love feedback! https://ift.tt/oiNtrsR https://ift.tt/d4xhGDT January 16, 2026 at 11:50PM
sexta-feira, 16 de janeiro de 2026
Show HN: Hc: an agentless, multi-tenant shell history sink https://ift.tt/cgEwnDb
Show HN: Hc: an agentless, multi-tenant shell history sink This project is a tool for engineers who live in the terminal and are tired of losing their command history to ephemeral servers or fragmented `.bash_history` files. If you’re jumping between dozens of boxes, many of which might be destroyed an hour later, your "local memory" (the history file) is essentially useless. This tool builds a centralized, permanent brain for your shell activity, ensuring that a complex one-liner you crafted months ago remains accessible even if the server it ran on is long gone. The core mechanism wants to be a "zero-touch" capture that happens at the connection gateway level. Instead of installing logging agents or scripts on every target machine, the tool reconstructs your terminal sessions from raw recording files generated by the proxy you use to connect. This "in-flight" capture means you get a high-fidelity log of every keystroke and output without ever having to touch the configuration of the remote host. It’s a passive way to build a personal knowledge base while you work. To handle the reality of context-switching, the tool is designed with a "multi-tenant" architecture. For an individual engineer, this isn't about managing different users, but about isolating project contexts. It automatically categorizes history based on the specific organization or project tags defined at the gateway. This keeps your work for different clients or personal side-projects in separate buckets, so you don't have to wade through unrelated noise when you're looking for a specific solution. In true nerd fashion, the search interface stays exactly where you want it: in the command line. There is no bloated web UI to slow you down. The tool turns your entire professional history into a searchable, greppable database accessible directly from your terminal. Please read the full story [here]( https://ift.tt/qnZSDCt... ) https://ift.tt/PZF690W January 16, 2026 at 05:13AM
Show HN: BGP Scout – BGP Network Browser https://ift.tt/13APl6o
Show HN: BGP Scout – BGP Network Browser Hi HN, When working with BGP data, I kept running into the same friction: it’s easy to get raw data, but surprisingly hard to browse networks over time — especially by when they appeared, where they operate, and what they actually look like at a glance. I built a small tool, bgpscout.io, to scratch that itch. It lets you: Browse ASNs by registration date and geography See where a given network appears to have presence View commonly scattered public data about an ASN in one place Save searches to track when new networks matching certain criteria appear All of this data is public already; the goal was to make exploration faster and less painful. I haven’t invested heavily in expanding it yet. Before doing so, I’m curious: Is this solving a real problem for you? What would make something like this actually useful in day-to-day work? Feedback is welcome. https://bgpscout.io/ January 15, 2026 at 09:52PM
Show HN: The viral speed read at 900wpm app https://ift.tt/DToKvi0
Show HN: The viral speed read at 900wpm app This rapid serial visual processing went viral the last few days. I built this app a few weeks ago to take advantage of the auto-playing videos on social media. Now you can beam text right into your followers eye sockets! https://wordblip.com January 16, 2026 at 02:20AM
Show HN: Reversing YouTube’s “Most Replayed” Graph https://ift.tt/ZuW72BM
Show HN: Reversing YouTube’s “Most Replayed” Graph Hi HN, I recently noticed a recurring visual artifact in the "Most Replayed" heatmap on the YouTube player. The highest peaks were always surrounded by two dips. I got curious about why they were there, so I decided to reverse engineer the feature to find out. This post documents the deep dive. It starts with a system design recreation, reverse engineering the rendering code, and ends with the mathematics. This is also my first attempt at writing an interactive article. I would love to hear your thoughts on the investigation and the format. https://ift.tt/rHMEkVD January 15, 2026 at 11:06PM
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