Gaia Atlas – Local Stellar Map

Hacker News

Hi there! I made the fan-created Project Hail Mary Star Map and had so much fun with the initial version that I decided to create a v2 that lets you explore our local star system and travel to many more stars. This new version lets you visit dozens of named stars, plan interstellar travel, view exoplanet systems, learn about stellar characteristics, and view 3D constellations. This version also includes 600k stars rendered in-browser with a higher resolution skybox rendered from the GAIA DR3 mission data. Also, you can now generate links to share what you find! Here is an example of plotting an interstellar course: https://valhovey.github.io/gaia-atlas/?s=61_CYGNI&d=34.9&y=0...

Visit product View on Hacker NewsMay 29, 2026

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6points

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Did not reach leaderboard

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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: new · Missing: mac, agents, macos

51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

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

37%37% 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

31%31% 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

14%14% 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

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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