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AstroCoord: Telescope-Specific Calibration Kit + Workshops

A downloadable, telescope-model-specific package (PDF guides + Python notebook + calibration image set) that teaches users how to solve their own images accurately. Includes: step-by-step calibration workflow, reference star catalogs for common observing sites, pre-configured scripts for Astrometry.net/Scamp, and a 2-hour live workshop per telescope model (Celestron, Meade, Takahashi, etc.). Users buy once per telescope type; workshops are live monthly cohorts.

TEMPLATE

21 weeks • 70% confidence

Value Proposition

Teaches the actual skill rather than hiding it behind a service; 10x cheaper than hiring a consultant; builds community (cohort-based learning); gives users independence and reproducibility. Beats generic online courses because it's telescope-specific (e.g., Celestron SCT optics have different distortion profiles than refractors). Beats pure SaaS because it's one-time cost + knowledge transfer.

Target Audience

Astrophotography clubs, serious hobbyists, small observatories, graduate students in astronomy who want to learn astrometry hands-on

Key Features

  • Telescope-specific PDF guide (optical properties, distortion models, recommended settings)
  • Jupyter notebook with pre-loaded calibration functions (image loading, source detection, WCS fitting)
  • Curated reference star catalog for 50 popular observing sites (Hipparcos + Gaia data)
  • And more, with full implementation detail...

Tech Stack

Jupyter Notebook + JupyterLab Python (astropy, photutils, scipy for image processing) Astrometry.net + Scamp (for reference in guides) Gaia DR3 data (free download)
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Original Problem

Astronomers struggle to accurately convert telescope image pixel coordinates to celestial coordinates (RA/DEC) without specialized expertise

Astrophotographers and astronomers need to map pixel positions in their digitized telescope images to precise celestial coordinates (Right Ascension/Declination), but lack accessible tools or clear methodologies to do this accurately. Current solutions require deep technical knowledge of astrometry, plate solving, and coordinate transformation mathematics, making it a bottleneck for researchers, hobbyists, and observatories trying to catalog observations or conduct scientific analysis.

Score: 18.4% • 1 demand signal