Spatium – A space odyssey awaits you with beautiful space images

Hacker News

Hi there, humans! I'm excited to announce Spatium! I'm a big fan of any topic related to our universe. I'm also a developer, so I've put these things together and I built this new tab Chrome Extension for space lovers, astronomy fans, and science geeks like me. If you enjoyed it, please spread some love <3 FEATURES • Space images • Every day, get a fascinating image of our universe. Enjoy pictures of stars, planets, moons, galaxies, nebulae, comets and more right on your browser tab. • Sun Widget • Find out when the sunrise, sunset, first and last light times will be precisely at your location. It also shows a countdown in an easy-to-read display, so you can stay tuned in your favourite sun event - light up your world!. • Moon Widget • See the current moon phase in real-time, countdowns to moon events (New Moon, First Quarter, Full Moon and Last Quarter), along with exact illumination percentages. So never miss an opportunity for moon gazing anymore. • Inspire Yourself Daily • Receive a daily dose of inspiration, insight and positive action with our curated list of quotes from the most intelligent people in history. • Customizable Interface • You can customize your experience with Spatium by showing and hiding widgets as per your needs. You decide what's on your New Tab page - it's up to you!

Visit product View on Hacker NewsJul 19, 2022

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

81%81% 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.

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

69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: widgets · Missing: mobile apps, ios, personal

56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, ide, io · Missing: https docs, just released, exist

38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

15%15% 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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