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The Climate Fixathon- Online hackathon for makers to fix the climate

Hacker News

The Climate Fixathon- Online hackathon for makers to fix the climate

The Climate Fixathon (https://fixathon.io/) is a 4-week online hackathon for individuals or teams to use their tech skills to launch a website, app or service intended to help restore a safe climate for our planet. It runs from 2nd-30th August with a prize value of $10k+. AWARDS ️ Awareness - Most likely to raise awareness of climate breakdown. Action - Most likely to help people take action against climate breakdown. ️ Facilitation - Most likely to make climate breakdown related tech projects easier to create in the future. WHAT YOU CAN WIN Our 3 winning team will each receive $1,500 cash to spend. Free Egghead.io licenses Free Sketch licenses Free Kirby licenses Free Drawkit illustrations 100 trees planted by Offset Earth Our 3 runner ups will each get $300 cash to spend. 25 trees planted by Offset Earth We hope that given this opportunity, we’ll get to see hundreds of techies from around the world using their skills to help fix the climate. We can't wait to see what they make :D

Visit product View on Hacker NewsJul 15, 2019

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best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

59%59% 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: using · Missing: mac, agents, macos

50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

41%41% 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

22%22% 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

17%17% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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