I Moved from AngularJS to Plain JavaScript with Route.js and Include.js

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Hey HN, I've been wanting to move away from from JavaScript frameworks and use equally powerful libraries with a fraction of the bandwidth cost, and recently did so with my game engine's GitHub Pages site. I wanted routing still, and markdown to HTML conversion, since I'm pulling from .md files on our GitHub wiki section. Here's what the website looks like now: http://planimeter.github.io/grid-sdk/ And here are the libraries I wrote to make the transition: https://github.com/andrewmcwatters/include.js https://github.com/andrewmcwatters/route.js https://github.com/andrewmcwatters/data-marked Edited: formatting

Visit product View on Hacker NewsJun 13, 2016

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

74%74% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

68%68% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

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

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

28%28% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · 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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