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JacobSheehy
AllClearSensorLibrary
Kotlin2018–2021
JacobSheehy / AllClearSensorLibrary

AllClearSensorLibrary

A new foreground sensor library for Android.

3Distinct people
11Mentions
1Explicit recommenders
40GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A new foreground sensor library for Android.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

I make All Clear Weather (Android, US-only for now, see below for why) because I demand better of weather apps. Many of the top weather apps [1] do nothing but display…

jacobsheehy used a recommendation phrase. One indexed comment matches. This is a phrase match, not a verdict.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 5:05:26 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year11 dated mentions

Observed mentions: 2018-09-15 21:11:22 UTC to 2021-08-29 20:53:38 UTC.

01232018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2021

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC303
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC202
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC303
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC303

What Hacker News says

3 sources
Ya'll probably know this but I'm very interested in tracking Laura as she landfalls using specifically barometers in phones. I do this with All Clear: https://play.google.com/store/apps/details?id=com.allclearwe... (US android app), source code I write for the clever 'background' sensor data on Android here [1] and animation of the non-landfalling Hurricane Dorian last year as viewed from phones in Eastern Florida [2] I think with Laura landfalling and travelling across the US for a while, there should be a lot of interesting and maybe useful surface-pressure readings to be had. Stay safe if you are anywhere near this hurricane. It is ...unprecedented. [1] https://github.com/JacobSheehy/AllClearSensorLibrary [2] https://www.allclearweather.com/hurricane-dorian Also I suppose it's important to shoutout /r/tropicalweather, just about the be
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st community on reddit. Their megathreads and links are always useful. https://reddit.com/r/tropicalweather
In Live View of Hurricane Laura
Well, I think the most important metric you can measure on the surface is atmospheric pressure. Simple temperature and humidity is generally insufficient to make good predictions - but pressure at the surface, measured across a geography, can tell you about conditions in the upper atmosphere. I use barometers in phones for this kind of purpose. I think that a minimum of 1 quality reading per 4 sq km would represent sufficiently dense coverage to create an improvement in forecasts. But more is better, since quality can be iffy. Some papers published by Cliff Mass et al from UW might have more info on density work. I'll try to find a link. [1] [2] The work I do is presently just in the US on Android: https://play.google.com/store/apps/details?id=com.allclearwe... with future expansion planned to allow better data acquisition. Open source co
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In Build yourself a weather station
Do you mean added resolution of input data, or improved resolution at which the models are run? Input data is frankly very limited - IMO we are barely measuring the atmosphere. Model runs are higher resolutions are only good if there is sufficient input data to seed the models. It's my lifelong passion to increase the usable input data (live atmosphere measurements) that models can assimilate. My latest attempt is to use the barometers in phones to create billions of new 'virtual weather stations'. My US-only Android app (iOS and international coming soon) is https://play.google.com/store/apps/details?id=com.allclearwe... You can see an animation of the data recorded in the Orlando, FL area when Dorian was churning off the coast: https://www.allclearweather.com/hurricane-dorian The data requires significant QA and bias correction to use,
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but it is possible (see Cliff Mass research papers) and the trends in the data are already clear and usable, regardless of actual pressure value recorded. Let's add a source code link for Android background/foreground sensor access that I wrote to further these goals: https://github.com/JacobSheehy/AllClearSensorLibrary
In Met Office forecasters set for 'billion pound' supercomputer

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