Data to track the global Energy, Space and Nuclear landscape’s progress

Hacker News

This project arose from my frustration with the prevailing degrowth sentiment and fearmongering by the media and environmentalists around these technologies. It provides data that highlights the growth of these frontiers and the role they play in humanity's path to total abundance. Some topics it covers: global energy/electricity mix, renewable capacity and growth (solar, wind, nuclear), nuclear reactors and waste recycling, yearly rocket launches, orbital launch costs, notes on starship and starlink and a lot more! My goal was to use publicly available data to track their progress, showcase their need and benefits to scaling them up, and debunk most myths and lies around things like renewable energy, and nuclear waste, all under a simple and beautiful unified interface. All the code and data is open-source: https://github.com/tanaydesai/outer-reach Video on X: https://x.com/tanaydesaii/status/1873499367505834195 Let me know what you guys think! - Tanay

Visit product View on Hacker NewsDec 29, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, notes, code · 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 · Missing: supports, reddit linkedin, podcasting

49%49% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

19%19% 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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