It is basically white-label Tiktok/Instagram native apps, but written all in web- including camera, native-like mobile feature/gestures/animations…
PWAs enable the same native full screen experience while bypassing appstore tax/rules.
For native apps, I have a React Native shell app that embeds a webview so I can create native Appstore/Googleplay binaries ready for publishing. With the new Expo CNG architecture, I can automatically create native apps binaries from console. https://apps.apple.com/us/app/copo-st/id6737266643?platform=...
You can embed apps/feeds/posts/profiles in web pages and native mobile apps(webview). So this creates a distributed social network on open web with various distribution/monetization/aggregation/commerce models.
-storing timestamp for each field (user:name) by default seems costly, timestamp can be stored on main key(e.g. user), curious on the thinking..
-is timestamp 64bit? do we need miliseconds?
-what is your sharding architecture, in terms of rage queries
-are your global search indexes on this architecture
building an open, white-label, embeddable Instagram/Tiktok as SAAS solution at alvin5.com. The idea is that communities and individuals can create their own Instagram like social media app/feed (Shopify for Social media), would love to meet with interested parties.
Open and community-owned (on-chain DAO) social media platform initially focusing on short-form video and web3 community. Also available as a white-label, embeddable solution for businesses/startups. Think open Tiktok/Instagram, for people and businesses.
DAO with governance/ownership/incentive token.
I would love to meet with people interested in building this.
- Web/WebApp (Think developing Tiktop/IG as a webapp) LatestWebArchitecture/Browser/React/PWA/SW/Video/Canvas/WebRTC
I am also exploring the webrtc(ingest)-to-llhls. FFMPEG doesn't seem to support llhls now, as it requires web server intelligence. For the webrtc, mediasoup is nice being node based.
Google has a "Web Stories" initiative. YouTube shorts might eventually get connected to that, videos appearing on Google Search creating a decentralized stories distribution/search/ad network. (Disclamier: founder@ alvin5.com where I am working on the same concept). I agree that shorts in the youtube app context is awkward, if they get traction, might spin out.
I am really interested in how these analogies would appear in different word embedding methods (Bert..), or different implementations of word2vec.
As to different implementations of word2vec, I am still not satisfied why the original code uses two separate embeddings for target and context words. It could use shared embedding layer.
Also for the layer above the sigmoid layer (Dot product), why is cosine similarity not considered for calculating the vector similarity.
I have searched these issues and not found detailed comments. I have created word2vec embeddings with shared embedding layer and cosine similarity. The vectors seems similar to the original code but deciding on which one is better, needs more work.
Google announced their version of Material React (Alpha) at IO. "Material Components for React (MDC React)"
Curious to see how it plays out with Material-UI. They should support Material-UI.
Instantly create your Tiktok/Instagram-like app for your community or brand