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fluxic

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投稿

Airbnb competitor Sonder files for bankruptcy after raising $680M

nytimes.com
3 ポイント·投稿者 fluxic·8 か月前·0 コメント

Transit 6.0: let's make public transit more beautiful

blog.transitapp.com
2 ポイント·投稿者 fluxic·11 か月前·0 コメント

We turned public transit into a multiplayer game

blog.transitapp.com
7 ポイント·投稿者 fluxic·昨年·0 コメント

Strava's Big Shift

hereandthere.club
4 ポイント·投稿者 fluxic·昨年·0 コメント

How my 14 year-old Instagram handle @javier was stolen

twitter.com
4 ポイント·投稿者 fluxic·2 年前·3 コメント

Transit app introduces safer bike directions

blog.transitapp.com
1 ポイント·投稿者 fluxic·2 年前·0 コメント

The dumbphone boom is real

newyorker.com
38 ポイント·投稿者 fluxic·2 年前·64 コメント

コメント

fluxic
·昨年·議論
Canadian liquor stores have dumped all American booze. Dinner conversation up north for the past few days has been all about travel and services boycotts (Amazon, Netflix, Uber, etc.)

Haven’t heard the US anthem booed at all Canadian hockey games since the “freedom fries” days post-Iraq mobilization.

Will take a decade to recover the goodwill lost this week.
fluxic
·昨年·議論
Hey Doug, huge fan of yours. Thank you for everything.
fluxic
·昨年·議論
logic.

for words: rhymezone, roget, oed, b-rhymes, fun python dictionary things :~)
fluxic
·2 年前·議論
Relatedly, Transit app is doing real-time analysis of rat sightings in the subway: https://transitapp.com/rats
fluxic
·3 年前·議論
I love the beautiful motion!

> We now take this file and filter the data within such that we only keep entries which fit in the Zurcih area bounding box. After this is done we obtain the road network of the city from Open Street Map. Having this information we can now estimate a shortest path between two stations and take this as a guess for the taken path. As a final step we need to estimate a timestamp for each intersection in the path. This will help us in creating a smooth animation. This process is done by linearly interpolating the time from the start location to the end location, based on the distance.

This is super clever too.

Wonderful job.
fluxic
·3 年前·議論
I work at Transit app (https://manifesto.transitapp.com) and I think we fit the mould.

We build a navigation app that (1) helps drive down CO2 emissions and (2) encourages good urbanism, by helping people in urban areas make optimal use of their public transit and bikeshare systems.

In dense urban areas like NYC and Paris, where most of our users live, proposing a “most environmentally-friendly car trip”, like most consumer navigation apps do, is entirely beside the point. Carbon neutral transport options are just as fast or marginally slower than cars in these locales, especially when combining bikeshare and transit trips to eliminate long walks, and timing those trips with real-time transit data to eliminate waits at the stop. We believe in the compounding effects of good public transit and work with a few hundred transit agencies to make their service more accessible and accountable to riders.

Besides having a worthwhile mission, we also know that it’s only defensible in the long term with a sustainable business model, which we’ve managed by partnering with major transit agencies (like LA Metro, Muni, the MNTA, STM, OC Transpo, etc.) and having a soft paywall to encourage user subscriptions, which nullifies any incentive to monetize via impertinent ads and all those other unsavoury business practices regularly pursued by other companies in the consumer nav space.

Relatedly, we’re always on the lookout for bright, ethical, city-loving engineers — especially ones whose passions are machine learning, data compression, mapping, and mobile development. If that’s you: https://jobs.transitapp.com
fluxic
·3 年前·議論
This is awesome! Nice work.