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Generate Go structs from multiple JSON objects

Hacker News

Generate Go structs from multiple JSON objects

If you need to unmarshal arbitrary JSON or YAML data (e.g. consuming data from a REST/JSON endpoint with no defined schema) then https://github.com/twpayne/go-jsonstruct will automatically create your Go structs for you. What's special about go-jsonstruct compared to other JSON-to-Go generators, is that go-jsonstruct can accept multiple documents as input and generate the most specific Go struct into which all of the documents can be unmarshalled. You can give it a few example responses from your REST/JSON endpoint and go-jsonstruct will infer the struct for you.

Visit product View on Hacker NewsSep 12, 2024

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

46%46% 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 · Missing: plus, platform, intuitive

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

40%40% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

34%34% 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

29%29% 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

15%15% 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

11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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