Rundmz – library for runnable Markdown for tutorials and demos

Hacker News

I put together a library in Golang which lets you use Markdown in a literate programming style. Blockquotes and comments can specify associated actions, calling back into your Go code. This lets you create tutorials and scripts which can be viewed in a browser or run on the command line. We use this in the OpenZiti project ( https://github.com/openziti/ziti ) for our tutorials and demos. I thought others might be interested in using the code or even just the concept.

Visit product View on Hacker NewsOct 26, 2022

Share card

Actual performance

4points

3comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

81%81% 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.

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

70%70% 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

48%48% 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

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

38%38% 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

14%14% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Tensorflow tutorials69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tensorflow tutorials

Hacker News7

FocuSee 2.077%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Record screen to get polished demos & tutorials

Product Hunt+302Productivity

A platform for creating tutorials using Markdown67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A platform for creating tutorials using Markdown

Hacker News2

Nocodify (No-Code Tutorials)63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Nocodify (No-Code Tutorials)

Hacker News1

Golang Angular Video Tutorials37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Golang Angular Video Tutorials

Hacker News2

Ekly AI63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Transform your demos/tutorials into professional content

Indie Hackers1$100/moai

My Codevember Demos58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My Codevember Demos

Hacker News1

The mother of all demos58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The mother of all demos

Hacker News1

Mother of All Demos, 202155%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Mother of All Demos, 2021

Hacker News2

Navier-Stokes Visualized as 1kB i386 demos53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Navier-Stokes Visualized as 1kB i386 demos

Hacker News47

Browse all products Analyze your launch