tRPC API boilerplate – separate BE-FE repositories

Hacker News

I think tRPC https://trpc.io/ is really nice piece of technology thats well put together for all TypeScript enthusiasts. However majority of projects I noticed is used as monorepo (mostly Nextjs), which is nice, but I would still prefer to embrace split between BE & FE, as thats the frequent case for others REST, GraphQL etc., especially for bigger projects/companies. BE boilerplate - https://github.com/mkosir/trpc-api-boilerplate FE boilerplate - https://github.com/mkosir/trpc-fe-boilerplate

Visit product View on Hacker NewsJul 14, 2023

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

41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

37%37% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

34%34% 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

27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

25%25% 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

13%13% 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

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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