BreakoutList but for high-impact climate companies

Hacker News

"I'm a software engineer and I want to work on solving climate change - where do I start?" A few months ago, I wanted to help my friends answer this question so I soft-launched a low-code version of climatetechlist.com. The site got more traction than I expected- at least two SWEs found jobs at climate tech companies so this week I launched a redesigned a better version One of the things I realized as a software engineer job seeker myself is that it can be hard to cut through the noise and understand what companies do, so my aim with ClimateTechList was to make that as clear as possible, inspired in part by breakoutlist.com To that end, the site currently has ~50 curated climate tech companies detailing, from interviews with the companies, what they work on exactly, what their climate impact (i.e. greenhouse gas impact) is, and why software is important for their success. You can filter companies by location, stage, # employees, and climate vertical (i.e. clean energy or food & agriculture, etc.) Feel free to ping me if you're looking for a climate tech job and want some tips, I want to help as many software engineers to work on climate as possible!

Visit product View on Hacker NewsApr 25, 2023

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

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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

52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: code · Missing: mac, agents, macos

26%26% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

19%19% predicted probability of success on AppSumo, 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.

Incorrect prediction on native model

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