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European Tech List

Hacker News

European Tech List

Below is a community-curated list of recommended European tech projects aimed at supporting and strengthening the European tech ecosystem. European companies often adhere to unique standards like GDPR compliance and sustainability practices, setting global benchmarks in privacy, security, and eco-friendly innovation. This list highlights European startups excelling in these areas, fostering collaboration and inclusivity while contributing to a diverse and resilient global tech landscape. I’m building a community-driven list of Awesome European Tech to showcase these projects. Disclaimer: This initiative isn’t about excluding non-European solutions but rather spotlighting European excellence in privacy, sustainability, and innovation. Explore the list and visit the inspiring website: European Alternatives.

Visit product View on Hacker NewsJan 25, 2025

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

80%80% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

49%49% 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: friendly · Missing: plus, platform, intuitive

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

28%28% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

20%20% 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

11%11% 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

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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