Drop-in cargo replacement for offloading Rust compilation to a remote

Hacker News

As much as I adore working with large Rust codebases, one daily annoyance I have is the local computational load from executing cargo commands. It slows down dev cycles and keep me tethered to the wall. About 6 months ago, inspired by cargo-remote, I built crunch to solve this. My goal for the tool is to have dead-simple devex, as similar as cargo as possible. Just replace `cargo` with `crunch`, and the computation happens on a remote server. A couple of close devs and I have been using it with a shared Hetzner AX102, and are really enjoying the experience of having the equivalent of an M4 Pro available for our Rust workloads! I know this is a common issue for Rust devs, so figured I'd share. Feedback welcome. Cheers! Repo: https://github.com/liamaharon/crunch-cli

Visit product View on Hacker NewsJun 27, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: using, code · Missing: mac, agents, macos

56%56% 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.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

50%50% predicted probability of success on AppSumo, 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

47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

39%39% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

29%29% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

17%17% 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.

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