
Skipper Study
Day Skipper theory practice, one round at a time
What it does
Skipper Study helps new skippers practise Day Skipper theory with short, focused quiz rounds. Choose modules like buoyage, lights, tides, chartwork, VHF, and pilotage, then review every answer with plain-English explanations and source references.
Does the same job
all alternatives →- SBSail boat simulation – try to sail into the wind2014 · imakesnowflakes.com · ▲229
- IMI'm an airline pilot – I built interactive graphs/globes of my flights2025 · jameshard.ing · ▲1,539
Hey HN! Pilots everywhere are required to keep a logbook of all their flying hours, aircraft, airports, and so on. Since I track everything digitally (some people still just use paper logbooks!), I put together some data visualizations and a few 3D globes to show my flying history. This globe is probably my favourite so far: https://jameshard.ing/pilot/globes/all If you’ve got ideas for other graphs or ways to show this kind of data, I’d love to hear them!
- SASail a historical full-rigged ship in real global weather2023 · thapen.itch.io · ▲359
This is a simulator of a frigate from about 1800. It has realistic physics, tuned to match historical performance. The UI is based around commands given in period naval language. Rather than use the current weather, it has a full year's weather data (for 1980 - taken from https://psl.noaa.gov/data/gridded/data.ncep.reanalysis2.html). This allows the weather to change realistically under time acceleration. To learn the basics of handling a square-rigged ship, start the "Harbour" scenario, click on the instructions button at the bottom left, and follow the instructions…


- GSGlobal sailing navigation simulator using real weather/ocean data2020 · 8bitbyte.ca · ▲131
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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…
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- FM
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