Js

Jsonnet Training

Hacker News

Jsonnet Training

Hi HN! I'm usually a lurker, but I thought I'd share the first video of an online Jsonnet training I'm working on to get your feedback. It is the introduction to the training showing why Jsonnet is interesting and why you should probably have it in your toolbox. The link of this Show HN is a blog post embedding the video. If the blog is down, you can access the video directly on youtube at https://www.youtube.com/watch?v=W8kFrUOpO7s I plan to make the whole training available on Udemy, but if you have advices regarding this, I'm also interested. Thanks in advance for your constructive feedback as it is my first foray in online training and even online content production. For the curious, I created the content with OBS and edited it with Kdenlive.

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75%75% 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.
TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal
45%45% 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
44%44% 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
44%44% 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 · Missing: mac, agents, macos
30%30% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: training · Missing: arr, mrr, revenue
25%25% 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

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