Can you draw points at infinity with OpenGL? Sure, why not?

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So I'm working on a webGL version of the space game Oolite. I've reported progress here: http://aegidian.org/bb/viewtopic.php?f=5&t=17574 When trying to display the stars, I was a bit annoyed by the idea of making the stars as points on a sphere of large radius. I didn't want to pick a fake radius (not nearly as large as interstellar distances) that would fit inside the view frustrum. I wanted to put the stars in a correct scale, that is very far away, or even at infinity. But then how would they fit into the viewing frustrum? Well, why not creating an infinite frustrum? That's what I did: http://grondilu.github.io/oolite/test-coriolis.html

Visit product View on Hacker NewsJul 10, 2015

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

60%60% 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: open · Missing: mac, agents, macos

55%55% 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

52%52% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

26%26% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

23%23% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

17%17% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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