An open source generator for complex SDKs

Hacker News

Hi It's Logan (op) and David, we are launching our first open source Python SDK generator with other languages to come :) We built this because we believe that the OpenAPI Generator project is a mess and simply doesn't work for most users (us included). Additionally, proprietary generators miss the mark for complex use cases, and restrict developers from doing what they do best: writing code. On top of all that they force you into proprietary configuration layers for many desirable features which increases vendor lock in and pulls you further away from your API spec as the source of truth. So we built Borea, a generator that allows you to generate models, documentation, and handlers from an OpenAPI 3 spec and then implement your own custom code (webhooks, state management, authentication, real time data processing, etc.) by just ignoring those files in the borea.config.json file just like you would a .gitignore file and writing directly to them. That way your custom logic is preserved on regeneration. Please note that this is an early stage product and is not production ready for some cases. We recommend doing extensive testing before deploying your SDK to production. If you like what we have built or just want to show some love, star our repo, if you want to use it, just follow the instructions in the README. We are open to feature requests and contributions on our repo and our Discord server (links on our Github profile)

Visit product View on Hacker NewsFeb 26, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, user, models · Missing: mac, agents, macos

95%95% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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.

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

72%72% 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: users, 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 · Strong signals: users · Missing: plus, platform, intuitive

42%42% 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

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: real time · 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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