LUMEN — Power what matters
Explore how to power a community through a 72-hour blackout
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LUMEN — Power what matters - Explore how to power a community through a 72-hour blackout

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LUMEN is an interactive energy resilience lab. Plan 72 hours without outside electricity or fuel, test 16 synthetic weather scenarios, and compare solar, wind, batteries and backup within a budget. See how decisions affect hospitals, water, shelters and homes. Built with GPT-6 Astra in ChatGPT Work, which handled the demo from implementation to deployment. Free to try, with no sign-in. Educational simulation with illustrative data.

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Maker
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Hi Product Hunt! I work on electricity supply and demand optimization, and GPT-6 Astra has been helping me refine the specialized algorithms behind it. I wanted to share a small, interactive demo that makes these ideas easier to understand. LUMEN puts you in charge of a fictional community facing 72 hours without outside electricity or fuel deliveries. Combine solar, wind, batteries and backup within a budget, test 16 synthetic weather scenarios, and see how your decisions affect hospitals, water services, shelters and homes. You can compare equipment plans and explore how prioritizing essential services changes the power available to everyone else. My goal is to make energy preparedness easier to discuss, including the tradeoffs and shortfalls that remain. ChatGPT Work handled the entire public demo, from implementation and iteration to testing and deployment. This is an educational prototype with synthetic data and explicit assumptions. It runs entirely in your browser, with no sign-in or live AI API calls. Try the 45-second tour, then explore a plan within budget. I'd love feedback on whether it makes these energy decisions clearer!
OpenAI
GPT-6 Astra Challenge
What became possible in your product with Astra that was not practical before?
Maker
Astra made it practical for me, as an electricity supply-and-demand specialist, to turn optimization concepts into a complete public experience. It helped me reason through storage limits, finite backup fuel, service priorities and budget tradeoffs, and turn those requirements into a simulation and equipment-plan search. ChatGPT Work handled the demo's implementation, testing, iteration and deployment. In LUMEN, anyone can explore a 72-hour outage across 16 synthetic weather scenarios and see how choices affect hospitals, water services, shelters and homes. The main change was bringing domain reasoning, executable logic and an interactive interface into one workflow, making specialist energy decisions easier to understand and discuss. This is an educational prototype: it uses illustrative assumptions, runs in the browser and makes no live AI API calls.