Practical Networked Applications in Rust

Hacker News

Hi HackerNews. I know you love Rust :) This training course, Practical Networked Applications in Rust, is an attempt to fill a gap in Rust's documentation, that is, how to use Rust to build real-world software. It's in an early and incomplete state still, but I've publicly announced it in the Rust community, so I thought I would put it out here as well and see what happens. I'm interested to hear feedback of any kind. Besides individual mentoring and blog posts, I don't have any background as an educator, so any thoughts about how learnable this looks and what to do to make it moreso are also hugely appreciated. There are more details about what it is and where it is going on the Rust users forum: https://users.rust-lang.org/t/practical-networked-applications-in-rust-a-training-course/29199 Cheers

Visit product View on Hacker NewsJun 12, 2019

Share card

Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

74%74% predicted probability of success on Indie Hackers, 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 · Strong signals: users · Missing: plus, platform, intuitive

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

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

45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Strong signals: user, new · Missing: mac, agents, macos

38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

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

20%20% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

A practical example of using async Rust runtimes in C and C++36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A practical example of using async Rust runtimes in C and C++

Hacker News1

Ferrocarril Runs Ruby Rack Applications from Rust44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ferrocarril Runs Ruby Rack Applications from Rust

Hacker News5

Bastion – Fault-Tolerant Runtime for Rust Applications50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bastion – Fault-Tolerant Runtime for Rust Applications

Hacker News4

Bunnie – Use Bun as the templating engine in Rust applications39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bunnie – Use Bun as the templating engine in Rust applications

Hacker News3

StatsD in Rust51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

StatsD in Rust

Hacker News1

TF-IDF in Rust51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

TF-IDF in Rust

Hacker News1

Screencast: An Introduction to Rust57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Screencast: An Introduction to Rust

Hacker News3

Handlebars for Rust51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Handlebars for Rust

Hacker News2

Oxischeme – A Scheme implementation in Rust56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Oxischeme – A Scheme implementation in Rust

Hacker News18

Speck, a WebGL molecule renderer for attractive and practical figures50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Speck, a WebGL molecule renderer for attractive and practical figures

Hacker News9

Browse all products Analyze your launch