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Our weekly space industry newsletter is out of beta

Hacker News

Our weekly space industry newsletter is out of beta

Hello HN! My partner and I just published issue #5 of The Orbital Index, our brief & technical weekly newsletter about space science and the space industry, and so we've taken the project out of beta. The process of finding a voice and fine tuning the level of technical detail is ongoing, but we feel like we've arrived at something succinct, interesting, and technical, in a large part because of the great feedback that we have received from HN subscribers from our last Show HN ( https://news.ycombinator.com/item?id=19227434 ) a month ago. Here's our website, where you can signup for free: https://orbitalindex.com And here is our latest issue, fresh off the presses a few minutes ago: https://orbitalindex.com/archive/2019-03-26-archive-Issue-5/ If you like what we're doing, please tell us! And if you have suggestions for how any part of The Orbital Index could be better, we'd love to hear them too.

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Launch Intel predictions

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TrustMRRFits verified-revenue profile · Strong signals: month · Missing: mobile apps, ios, personal
57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: new · Missing: mac, agents, macos
57%57% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
38%38% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr, subscribers · Missing: mrr, revenue, profit
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
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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