Launch Intel
Ne

Nestless Code – VSCode extension to help you avoid the Pyramid of Doom

Hacker News

Nestless Code – VSCode extension to help you avoid the Pyramid of Doom

Hey HN! I built Nestless Code to help developers avoid the Pyramid of Doom problem. What is the Pyramid of Doom problem? According to Wikipedia (lol), it is a common issue that arises when a program uses many levels of nested indentation to control access to a function. This is a real problem, especially for new devs. Nestless Code will help you visualize when you're going too deep into nesting. Let me know what you think, and thanks!

Visit productView on Hacker NewsJun 20, 2024
Share card

Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: new, visual, code · Missing: mac, agents, macos
75%75% 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
50%50% predicted probability of success on Indie Hackers, 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
46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: visualize · 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.

Correct prediction on native model

Similar products

I
I made a GPT4 VSCode extension for detecting and fixing insecure code47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made a GPT4 VSCode extension for detecting and fixing insecure code

Hacker News9
I
I made a GPT4 VSCode extension for detecting and fixing insecure code47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made a GPT4 VSCode extension for detecting and fixing insecure code

Hacker News1
I
I made a GPT4 VSCode extension for detecting and fixing insecure code47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made a GPT4 VSCode extension for detecting and fixing insecure code

Hacker News3
VS
VSCode extension for GitLab24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

VSCode extension for GitLab

Hacker News2
Tf
Tfsec now has a VSCode Extension (basic for now)26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tfsec now has a VSCode Extension (basic for now)

Hacker News1
VS
VSCode Extension to toggle between string cases29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

VSCode Extension to toggle between string cases

Hacker News1
Sp
Spaghettify – A VSCode Extension to make your code worse with AI34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Spaghettify – A VSCode Extension to make your code worse with AI

Hacker News323
Cl
Claude Debugs for You (VSCode Extension)25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Claude Debugs for You (VSCode Extension)

Hacker News1
Ne
New VSCode extension: Objectify Params27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

New VSCode extension: Objectify Params

Hacker News4
VS
VSCode extension for simulating Boids models29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

VSCode extension for simulating Boids models

Hacker News1
Browse all productsAnalyze your launch