Monogo – Evolve your go workspace to a real monorepo

Hacker News

Hi there, I've been working sporadically over the last six months on a go monorepo tool (0 config it just use go workspace and go convention). It’s basically like TurboRepo but without the task runner. The tool builds a dependency graph between packages, allowing you to do things similar to what you can do in TurboRepo, like "only test the packages and the packages that depend on them, compared to the main branch," or "only install dependencies for Package A and its dependencies," etc. I use native go tool to get dependencies and create dependency graph between the package.Nothing crazy but I feel it could be useful.

Visit product View on Hacker NewsAug 23, 2024

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

60%60% 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

53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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.

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

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

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

36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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