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Goose.us – Another blog from a wannabe philosopher

Hacker News

Goose.us – Another blog from a wannabe philosopher

So I made a blog site, I imagine that isn't overly exciting or novel around these parts, but since HN is the best community I'm aware and apart of, I figured I'd try to show it off here anyways. I'm feeling particularly happy for finally using my sweet domain that is my also my handle: https://goose.us/ I'd love to get any opinions on readability, accessibility, performance, and any other feedback on the web technology aspects. I did my best to keep it accessible and performant. The about page has details on the technology I used to make it, but TL;DR - Hugo, a blank starter template, some custom shortcodes, typebase css, and hand-coded minimal vanilla JS. I'd also love feedback on my first post, which is about The Purpose of Life, though I think you may find it different from your typical "The Purpose of Life" post. https://goose.us/thoughts/the-purpose-of-life/ I draw a lot from the work of Sean Carroll in his latest book, The Big Picuture , as well as some awesome MinutePhysics and MinuteEarth videos. Thanks for any consideration I may receive and even if I receive none, I owe the HN community much appreciation for being one of the best forums for developing my thinking/writing/discussion skills.

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Actual performance

4points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
78%78% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
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.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
48%48% 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 HuntUnlikely to reach the leaderboard · Strong signals: using, code · Missing: mac, agents, macos
46%46% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video, way · Missing: mobile apps, ios, personal
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit
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.

Correct prediction on native model

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