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Show HN: Add Stories-Like Widget to Any Website Based on RSS Feeds Hey Hackers! I’m about to release a new plugin for websites and wanted to ask your feedback. This plugin is called “Automatic Stories” and it allows you to add a stories-like widget to any website based on existing RSS feeds, so you won’t need to take care of creating stories manually. It will be updated based on the content of your website. If you’re using WordPress, you may find a quick demo here: https://ift.tt/2Wo8apK Simply type your website url, and the plugin will generate the stories automatically If you’re not using WordPress, simply go directly to editor, add a category, and enter the feed URL to see the magic happen: https://ift.tt/34l8Osk Any feedback will be appreciated! December 16, 2020 at 11:46PM

via Blogger https://ift.tt/37oTddg

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Show HN: Deep learning tool that repairs damaged/faded photos https://ift.tt/2WnzN22 December 16, 2020 at 11:36PM

via Blogger https://ift.tt/2WnuoYL

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(https://ift.tt/38ioY78

via Blogger https://ift.tt/3p5pLit

(https://ift.tt/3muupVi

Show HN: Add Stories-Like Widget to Any Website Based on RSS Feeds https://ift.tt/386BEOcTHE RIGHT PEOPLE https://ift.tt/3gTvtB0THE RIGHT PEOPLE https://ift.tt/34kE76E https://ift.tt/34kE76E

Show HN: Add Stories-Like Widget to Any Website Based on RSS Feeds Hey Hackers! I’m about to release a new plugin for websites and wanted to ask your feedback. This plugin is called “Automatic Stories” and it allows you to add a stories-like widget to any website based on existing RSS feeds, so you won’t need to take care of creating stories manually. It will be updated based on the content of your website. If you’re using WordPress, you may find a quick demo here: https://ift.tt/2Wo8apK Simply type your website url, and the plugin will generate the stories automatically If you’re not using WordPress, simply go directly to editor, add a category, and enter the feed URL to see the magic happen: https://ift.tt/34l8Osk Any feedback will be appreciated! December 16, 2020 at 11:46PM

via Blogger https://ift.tt/37oTddg

(https://ift.tt/3mwad5w

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Show HN: Deep learning tool that repairs damaged/faded photos https://ift.tt/2WnzN22 December 16, 2020 at 11:36PM

via Blogger https://ift.tt/2WnuoYL

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via Blogger https://ift.tt/2WoAfgw

(https://ift.tt/2KfYqet

via Blogger https://ift.tt/3r6EKu8

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via Blogger https://ift.tt/37qQq3a

(https://ift.tt/38ioY78

Show HN: Add Stories-Like Widget to Any Website Based on RSS Feeds https://ift.tt/386BEOc

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Show HN: Deep learning tool that repairs damaged/faded photos https://ift.tt/2IZUzBO

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via Blogger https://ift.tt/2WoAfgw

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via Blogger https://ift.tt/2Wk7H7M

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via Blogger https://ift.tt/34hduzc

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Show HN: Deep Email Validator https://ift.tt/3msQvrb

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Show HN: I built CovidInvaders in honor of the vaccine (and my 16th birthday) https://ift.tt/3864GgN December 15, 2020 at 07:28PM

via Blogger https://ift.tt/34hduzc

(https://ift.tt/3mjEjJj

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via Blogger https://ift.tt/34hduzc

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Show HN: Realtime Geostationary Earth Imagery https://ift.tt/3mohjZP

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Show HN: Curated List of Online Learning Hi HN, The discussion pops up regularly about which MOOCs and courses to take so I figured I’d start a curated list of recommendations. It’s by no means exhaustive (and it’s just the ones I know) and is quite broad. If you had any suggestions, feel free to create a PR or Issue, or even respond to this post and I will add it. I’d love to be able to capture quality somehow, but not sure of the way to go about that just yet. https://ift.tt/3gGyVik December 12, 2020 at 03:31PM

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Show HN: Factonaut. Collect historical events and create chronological overviews https://ift.tt/348x3Ke

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Show HN: Curated List of Online Learning https://ift.tt/3gI0BDr

Show HN: Curated List of Online Learning Hi HN, The discussion pops up regularly about which MOOCs and courses to take so I figured I'd start a curated list of recommendations. It's by no means exhaustive (and it's just the ones I know) and is quite broad. If you had any suggestions, feel free to create a PR or Issue, or even respond to this post and I will add it. I'd love to be able to capture quality somehow, but not sure of the way to go about that just yet. https://ift.tt/3gGyVik December 12, 2020 at 03:31PM

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Show HN: Probably the most comprehensive weather API currently available This was posted before but I’m quite pleased to share a major update for https://oikolab.com. We now have available seven decades of hourly weather data starting from 1950 for any location in the world, thanks to the recent publication of ERA5 reanalysis data from European Centre for Medium-Range Weather Forecasts (ECMWF). ERA5 is gap-free, gridded dataset generated using data assimilation method (https://ift.tt/2sZYnWj), similar to NWP models but with the benefit of hindsight. As far as we’re aware of, we’re the first weather data service provider to have this extensive range of coverage accessible via REST API, where one can quickly query time-series of weather parameters for any location in seconds rather than hours or days from the original source. Here are some stats: Coverage: Global, from 1950 to 10 days ahead Spatial Resolution: 0.25 deg x 0.25 deg (lat x lon) Temporal Resolution: Hourly Weather Parameters: ~30, including longwave/shortwave radiation, wetbulb temperature, windspeed at 100m, etc. (https://ift.tt/37bc4YZ) NetCDF/GRIB Data Size: ~100TB Data Sources: Historical (ERA5) – https://ift.tt/3oGvGKD Forecast (GFS) – https://ift.tt/1eg5Bxm Any feedback or comments would be much appreciated. Thanks! December 11, 2020 at 09:09PM

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Show HN: Probably the most comprehensive weather API currently available This was posted before but I’m quite pleased to share a major update for https://oikolab.com. We now have available seven decades of hourly weather data starting from 1950 for any location in the world, thanks to the recent publication of ERA5 reanalysis data from European Centre for Medium-Range Weather Forecasts (ECMWF). ERA5 is gap-free, gridded dataset generated using data assimilation method (https://ift.tt/2sZYnWj), similar to NWP models but with the benefit of hindsight. As far as we’re aware of, we’re the first weather data service provider to have this extensive range of coverage accessible via REST API, where one can quickly query time-series of weather parameters for any location in seconds rather than hours or days from the original source. Here are some stats: Coverage: Global, from 1950 to 10 days ahead Spatial Resolution: 0.25 deg x 0.25 deg (lat x lon) Temporal Resolution: Hourly Weather Parameters: ~30, including longwave/shortwave radiation, wetbulb temperature, windspeed at 100m, etc. (https://ift.tt/37bc4YZ) NetCDF/GRIB Data Size: ~100TB Data Sources: Historical (ERA5) – https://ift.tt/3oGvGKD Forecast (GFS) – https://ift.tt/1eg5Bxm Any feedback or comments would be much appreciated. Thanks! December 11, 2020 at 09:09PM

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Show HN: Probably the most comprehensive weather API currently available https://ift.tt/3gFSreN

Show HN: Probably the most comprehensive weather API currently available This was posted before but I'm quite pleased to share a major update for https://oikolab.com. We now have available seven decades of hourly weather data starting from 1950 for any location in the world, thanks to the recent publication of ERA5 reanalysis data from European Centre for Medium-Range Weather Forecasts (ECMWF). ERA5 is gap-free, gridded dataset generated using data assimilation method (https://ift.tt/2sZYnWj), similar to NWP models but with the benefit of hindsight. As far as we're aware of, we're the first weather data service provider to have this extensive range of coverage accessible via REST API, where one can quickly query time-series of weather parameters for any location in seconds rather than hours or days from the original source. Here are some stats: Coverage: Global, from 1950 to 10 days ahead Spatial Resolution: 0.25 deg x 0.25 deg (lat x lon) Temporal Resolution: Hourly Weather Parameters: ~30, including longwave/shortwave radiation, wetbulb temperature, windspeed at 100m, etc. (https://ift.tt/37bc4YZ) NetCDF/GRIB Data Size: ~100TB Data Sources: Historical (ERA5) - https://ift.tt/3oGvGKD Forecast (GFS) - https://ift.tt/1eg5Bxm Any feedback or comments would be much appreciated. Thanks! December 11, 2020 at 09:09PM