Go-zero (a cloud-native microservice framework) is now two years old

Hacker News

Today in two years ago, I submit my first commit of go-zero code to GitHub, and two years later, go-zero is now 19.7K stars and 2.9K forks. go-zero has been well known for lots of developers, adopted by many companies, and helped many developers to be hired by their favorite companies through learning go-zero source code. Looking forward to the third year, we will continue to bring more convenient and practical features to the developer community, bringing more cool development experience to everyone! We are grateful to have you along the way! Welcome more developers to join us! https://github.com/zeromicro/go-zero

Visit product View on Hacker NewsAug 8, 2022

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4points

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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 NewsStrong engagement from HN community · Missing: https docs, excited, just released

68%68% 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: code · Missing: mac, agents, macos

56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

43%43% 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

29%29% 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

21%21% 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.

Incorrect prediction on native model

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