Wednesday, 3 March 2021

Tuesday, 2 March 2021

Show HN: PyPSI – Python Implementation of Google PageSpeed Insights https://bit.ly/3rfZ4Js

Show HN: PyPSI – Python Implementation of Google PageSpeed Insights https://bit.ly/2NVyXce March 3, 2021 at 06:46AM

Show HN: NNext.net – A Firebase-like managed vector storage for ML applications https://bit.ly/3rat7SA

Show HN: NNext.net – A Firebase-like managed vector storage for ML applications Hi HN. Peter here. As a machine learning engineer, I mostly think in terms of feature vectors, embeddings, and matrices. One of the most useful byproducts of deep neural networks is embeddings because they allow us to represent high-dimensional data in terms of lower-dimensional latent vectors. These feature vectors can be used for downstream applications like similarly search, recommendation systems and near duplicate detection. As an ML engineer, I was frustrated by the lack of a datastore in which vectors are first-class citizens. As a result, most ML engineers, including myself, end up using awkward workarounds to store vectors such as arrays in SQL/NoSQL databases, stringifying vectors and storing them as text in in-memory-based caching systems such as Redis ETC. Furthermore, these systems don't allow for vector-based query operations such as nearest neighbor search. Consequently, engineers have to deploy additional approximate nearest neighbor search systems such as Facebook's FAISS or Spotify's ANNOY. These systems, while nifty and fast, are difficult to install and are costly to maintain. To address these issues, I built NNext, a managed vector datastore in which vectors are first class citizens. NNext, allows you to store vectors along with any json-blob metadata. Furthermore, NNext comes with a fast approximate nearest-neighbor (ANN) search capability. I would love to get feedback on your experience as Data Scientist or ML engineer storing feature vectors and ANN systems. Please shoot me an email at p@nnext.net. https://bit.ly/3rat8WE March 3, 2021 at 05:44AM

Show HN: Jidoujisho – A mobile video player for Japanese language learners https://bit.ly/3e06Inr

Show HN: Jidoujisho – A mobile video player for Japanese language learners https://bit.ly/3820ijW March 3, 2021 at 03:17AM

Show HN: Real time AI Video Upscaling in the browser https://bit.ly/3rcxVHg

Show HN: Real time AI Video Upscaling in the browser https://bit.ly/3b9Vvin March 2, 2021 at 10:55PM

Show HN: Smidge – Replacing text chat with video chat https://bit.ly/2MEAiU3

Show HN: Smidge – Replacing text chat with video chat https://bit.ly/3kIjurR March 2, 2021 at 11:42PM

Show HN: PhpOverWebsocket https://bit.ly/3kPZBPX

Show HN: PhpOverWebsocket https://bit.ly/3uPj1cc March 2, 2021 at 10:19PM

Show HN: Student Loan API – build anything in student loans https://bit.ly/3q8XDep

Show HN: Student Loan API – build anything in student loans https://bit.ly/2OjXcjW March 2, 2021 at 07:22PM

Show HN: We built a node based editor for data wrangling https://bit.ly/3redVEe

Show HN: We built a node based editor for data wrangling https://bit.ly/3uQ3HMy March 2, 2021 at 05:34PM

Show HN: Recut, a native Mac app that automatically removes silence from videos https://bit.ly/3kDHfBh

Show HN: Recut, a native Mac app that automatically removes silence from videos https://bit.ly/2NSYTVT March 2, 2021 at 05:49PM

Show HN: A network of weather stations to help prevent pesticide spray drift https://bit.ly/3q8s30i

Show HN: A network of weather stations to help prevent pesticide spray drift https://bit.ly/3e0UvP6 March 2, 2021 at 09:42AM

Monday, 1 March 2021

Show HN: Cognitive Behevarioal Therapy to treat insomnia https://bit.ly/3kBRDK7

Show HN: Cognitive Behevarioal Therapy to treat insomnia https://bit.ly/3bQ5t7E March 2, 2021 at 04:15AM

Show HN: Plain Text Sports: live sports games, play-by-play, and boxscores, fast https://bit.ly/2NVCRSh

Show HN: Plain Text Sports: live sports games, play-by-play, and boxscores, fast https://bit.ly/3dYniE4 March 2, 2021 at 01:13AM

Show HN: Fast Rolling Quantiles for Python https://bit.ly/3r9Jcb8

Show HN: Fast Rolling Quantiles for Python https://bit.ly/3dZGb9C March 2, 2021 at 02:20AM

Show HN: Easy Simple API Mocking with Mockaroo https://bit.ly/3bTU3iX

Show HN: Easy Simple API Mocking with Mockaroo https://bit.ly/3sIToaT March 2, 2021 at 02:18AM

Show HN: Why does an A note sound different across instruments? https://bit.ly/3825Z1f

Show HN: Why does an A note sound different across instruments? https://bit.ly/30gjbvf March 1, 2021 at 09:52PM

Show HN: NASA Mars 2021 as full-scale VR puzzles https://bit.ly/3bWOhgS

Show HN: NASA Mars 2021 as full-scale VR puzzles We built a VR game with giant 3D puzzles[0], and to celebrate the successful landing of NASA Perseverance rover on Mars, we just added an experimental mini-series of Mars 2021 puzzles: - Perseverance rover at 1/3rd of the size - Perseverance at full-scale. At full scale in VR, it's impressive! Bigger than I thought! Screenshots for Perseverance VR puzzles: https://twitter.com/PecoPecoGame/status/1362880879966748679 - Ingenuity, the Mars Helicopter, at full scale. Again, full-scale in VR is a cool way to get a sense of the size of Ingenuity (spoiler: the body is smaller than what I expected, but the blades are huge comparatively! That's because the martian atmosphere is much less dense than the earth atmosphere.) Screenshots for Ingenuity VR puzzle: https://twitter.com/PecoPecoGame/status/1365704324232454147 These are directly based on the official NASA models, so they have great accuracy. There's one puzzle to play for each model, and you can cut your own puzzles in VR if you want. The full-scale Perseverance puzzle has huge pieces! The wheels are enormous. It is also doubly experimental as you will need a really room-scale guardian to play. (or use vertical space!) And the 1/3 scale Perseverance model is really nice to discover it from any angle. The 54-piece puzzle that goes with the Ingenuity model is part easy, part quite hard! But I'm sure you'll do it if you like puzzles [0] https://bit.ly/3bSWOBc March 1, 2021 at 04:06PM