A Live View Native Flutter Client

Hacker News

Hey, I thought I would share what I'm building right now. For those who don't know, Phoenix Live View introduced Live View native, a framework where you can build mobile apps straight from a server view, everything gets synchronized live like Live View on the web. For the people who don't know what Phoenix Live View is, I encourage you to check it out, it's a great piece of tech. I'm releasing now a tech preview of a Flutter client, you could build a mobile & desktop app using the exact same backend code as the web and just change the view, every diff is getting replicated live over a websocket, same as a Live View web client. https://github.com/alex-min/live_view_native_flutter_client I have a video demo of a simple counter being synced between the web, mobile and desktop on github, this demonstrates the concept clearly.

Visit product View on Hacker NewsOct 8, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: apps, using, code · Missing: mac, agents, macos

72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: ide · Missing: https docs, excited, just released

64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: mobile apps, apps, video · Missing: ios, personal, entrepreneurs

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

40%40% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: introduce · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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