IdeaWell

Project ideas from Hacker News discussions.

Planet Labs' open satellite feed

Original Article

Hacker News Discussion

📝 Discussion Summary (Click to expand)

Theme 1 – High cost and budget limits for satellite imagery
Many participants note that commercial satellite data (e.g., Planet) is prohibitively expensive for small or volunteer‑driven organizations.
- “Planet quoted us something like $30k per year for a strip of coastline… so it’s just not a viable option under their current pricing model.” — smallerfish
- “We’re volunteer driven and currently rely on personal donations, so we’re scrappy. We could probably justify somewhere in the region of $10k/yr.” — smallerfish
- “If you need a very large area the price will grow quite a lot though.” — noodlesUK

Theme 2 – Exploring cheaper or more flexible acquisition alternatives
Commenters frequently discuss drones, balloons, high‑altitude jets, and other aerial platforms as ways to bypass costly satellite subscriptions.
- “The jets/balloon angle is interesting… I hadn't occurred to me, and I'll search through what's out there.” — smallerfish
- “Drones (and helicopters) do have their market as well. A lot of engineering firms I saw would go with one of these two…” — marklit
- “How many years away are we from a cheap drone that will takeoff, land, solar recharge, repeat until it returns to you a few tb of SD cards of high res imagery?” — Scoundreller

Theme 3 – A competitive Earth‑observation market and emerging data‑access tools
Several speakers highlight the growing number of providers, open‑data options (Sentinel, Nimbo, archive imagery), and technical workflows that make imagery more affordable and usable.
- “I am using DuckDB + Parquet + HTTP range requests for a current project and it's a great combination for data exploration tools that run in the browser.” — coinfused
- “The EO market is getting more competitive… They can be a little more creative than their list prices when they realise you don't have the budget…” — notahacker
- “There are private jets that can capture 10cm imagery and can pick the ideal weather window to fly in. There are also firms that fly balloons 20‑80 KM off the ground that can capture 4cm imagery.” — marklit

🚀 Project Ideas

ImageryShare for Conservation NGOs

Summary

  • A platform that aggregates satellite imagery offers from multiple providers (Planet, SkyWatch, Sentinel, etc.) and negotiates bulk or resale discounts for NGOs focused on deforestation monitoring.
  • Core value proposition: reduces imagery cost to ≤$10k/yr while providing timely, high‑resolution data for early‑def detection.

Details

Key Value
Target Audience Conservation nonprofits, volunteer‑driven environmental groups
Core Feature Marketplace + negotiation engine that bundles archive and tasking orders, facilitates resale agreements, and provides usage tracking
Tech Stack React/NestJS backend, PostgreSQL, Stripe Connect for payments, AWS S3 for metadata cache
Difficulty Medium
Monetization Revenue-ready: transaction fee 5% per imagery order

Notes

  • HN users expressed frustration: “Planet quoted us something like $30k per year for a strip of coastline… not a viable option” (smallerfish) and interest in negotiating resale: “See if you can negotiate reselling the imagery they sell you… you could recoup your costs” (marklit).
  • Practical utility: enables NGOs to access fresh, evidentiary imagery for alerting under‑resourced agencies, directly addressing the early detection gap mentioned by smallerfish.

SatQuery: DuckDB‑Powered Parquet Imagery Explorer

Summary

  • A browser‑based tool that lets users query large satellite imagery collections stored as Parquet files via DuckDB and HTTP range requests, enabling fast, on‑the‑fly filtering without full downloads.
  • Core value proposition: turns cheap archive (e.g., Sentinel‑2, Nimbo) into an interactive data exploration workspace for deforestation hotspot identification.

Details

Key Value
Target Audience Researchers, GIS analysts, nonprofit technical volunteers
Core Feature SQL‑like interface over imagery metadata + pixel bands, leveraging DuckDB/Wasm and range requests for lazy loading
Tech Stack DuckDB/Wasm, Parquet, Observable HQ or Svelte front‑end, Cloudflare Workers for signed URLs
Difficulty Medium
Monetization Hobby

Notes

  • Commenters highlighted the combo: “I am using DuckDB + Parquet + HTTP range requests … great combination for data exploration tools that run in the browser” (coinfused). This validates demand for such a tool.
  • Potential for discussion: opens conversations about optimizing cloud storage costs, extending to other EO datasets, and integrating with alerting pipelines for NGOs.

SolarDroneWatch: Autonomous Solar‑Powered Drone Imaging Service

Summary

  • A service that deploys low‑cost, solar‑recharging drones to capture periodic high‑resolution (≤5 cm) aerial imagery over protected forest areas, processes images on‑edge to detect change, and pushes alerts to partner agencies.
  • Core value proposition: provides an affordable, repeatable imaging source (~$10k/yr per site) that fills the revisit‑rate gap between satellite and costly manned flights.

Details

Key Value
Target Audience Conservation NGOs, park rangers, community forest monitors
Core Feature Autonomous take‑off/landing, solar docking station, on‑board change detection (e.g., NDVI diff), automated alert via SMS/API
Tech Stack PX4 autopilot, Raspberry Pi + Coral Edge TPU, solar charging dock, AWS IoT Core for data ingest, Twilio/Telegram for alerts
Difficulty High
Monetization Revenue-ready: subscription $2k/yr per drone + $500 per alert batch

Notes

  • HN discussion noted the appeal of drones: “What about drones? Probably would have to get permits… but still might be cheaper than alternatives” (embedding-shape) and the desire for persistent monitoring: “early detection of forest intervention… alert appropriate agencies” (smallerfish).
  • Practical utility: offers a tangible, scalable solution that NGOs could actually afford and operate, turning the “need for cheap drone that will takeoff, land, solar recharge, repeat” into a realizable service.

Read Later