
Wifi-rating
#travel
What it does
Wifi-rating is a community-powered map where anyone can test, rate, and review WiFi at cafés, hotels, co-working spaces, and anywhere else — so the next person knows exactly what they're walking into. Built for remote workers, digital nomads, work-and-travel folks, and tourists who just want to know if the hotel WiFi is actually worth it before they book. No account. No download. Just open it and rate.
Does a similar job
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- AMA map that tells you if a NYC cafe has WiFi, a restroom, and an outlet2023 · octobrain.one · ▲131
I am slowly adding more locations now. This is intended to be a crowdsourced map. Everyone is welcome to add more locations and provide comments/votes here. Free people from going to a cafe for work only to leave because there's no wifi, restroom, or outlet!! Demo: https://x.com/KSeisai/status/1708273554041504028?s=20


- IBI built a Wi-Fi 6 survey kit to see how common it was in my area2022 · wirelessbits.net · ▲113
More work this month
the category →

Hey we are Computable. We spent years building trading infrastructure at Jump Trading and Coinbase. From that point of view, compute looks like energy markets before 2000: everything trades through private bilateral leases, there’s no visible price, and nothing can be resold. The same H100 rents at a 2x spread depending on who’s asking, and once you sign a 24-month lease, it can never change hands. So we built a market for GPU nodes, sold by the calendar week. Here are three things you can do on it that you can’t do anywhere else: - Buy exactly the weeks you need. Three nodes for the last…
Work · 11d ago · getcomputable.com


The app store for voice native apps that lives in your notch
Work · 29d ago · voiceos.com

Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai


- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com