I Took a Picture of the Moon

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Hi guys I spent my spare time in 2020 and 2021 learning how to put together and operate a backyard observatory. The linked pic is a composite made with the image composite editor from microsoft research. The input to the compositor looks like this: https://www.youtube.com/watch?v=KLd-U1lYgnY I found that this process is a lot faster than creating sequences in sequence generator pro or sharpcap, though it does leave in visible sensor noise that would otherwise be removed by the stacking process. I've yet to find a decent deconvolver, though i'm probably going to learn some openCV for that.

Visit product View on Hacker NewsMay 6, 2022

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

76%76% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

47%47% 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

45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

43%43% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: open · Missing: mac, agents, macos

26%26% predicted probability of success on Product Hunt, 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

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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