No

No Code Camp – Courses, community and mentorship for no coders

Hacker News

No Code Camp – Courses, community and mentorship for no coders

No Code Camp is a single source to learn how to build with no code tools via self-paced courses, community and mentorship. The platform has hundreds of lessons, with courses ranging from launching a modern landing page to building an AI image generation app. As a non-developer maker, I’ve been building with no code tools for a while. A few months ago I launched Built With AI Club with a few courses to teach people how to build with AI and No Code. And over the past few months, I've continued to create courses on a broader range of no code topics, expanding the content on the platform from just AI tools to all types of no code workflows and projects. And with that, I've completely updated and rebranded the platform to No Code Camp to better represent this expanded offering, and in addition, bring community and mentorship support, not just courses, to the platform as well. I appreciate that there's many sources to learn how to build with no code tools. So what makes No Code Camp different? For me, when it comes to building with no code tools, I want to go from idea to MVP as fast as possible. And I want the building process to be fun, simple and to have the best possible UI/UX for my customers. I don't want to spend weeks/months learning a complicated tool that has a similar learning curve as code. The whole reason I love no code is the speed and simplicity of development. And this mentality is what permeates all the courses: a focus on practicality, real world use cases, speed to launch, and great UI/UX. I'm adding new courses to the platform every month and hanging out in the community daily to brainstorm and connect with other no coders on approaches for turning their ideas into reality with no code tools. It's been a ton of fun! Thanks for checking it out and I appreciate any feedback!

Share card

Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
89%89% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: new, single, code · Missing: mac, agents, macos
74%74% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Strong signals: platform · Missing: plus, intuitive, reviews
55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal
46%46% 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
21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: real world · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Io
Iosevka, the Coders’ typeface, and is code itself56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Iosevka, the Coders’ typeface, and is code itself

Hacker News8
Unlikely Coders
Unlikely Coders37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A community supporting and promoting diversity in tech.

Indie Hackers
Learnhive
Learnhive24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Here We Connect and Innovate — AI Courses, Community & Caree

Indie Hackerscommitment-full-time
Meico
Meico32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Build no-code courses

Indie Hackerscommitment-side-project
CoderYouth
CoderYouth59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Code Community for Teenagers by Teenagers

Indie Hackers1communication
Co
Compilaton of all CSE courses (by NPTEL)54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Compilaton of all CSE courses (by NPTEL)

Hacker News2
Lifeguard Courses
Lifeguard Courses52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The American Lifeguard Association has been offering

Indie Hackerscommitment-full-time
NBN Courses
NBN Courses24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

NBN Courses by Milcom

Indie Hackersvertical-education
Pa
Pairbyte – Find Coders to Build With53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Pairbyte – Find Coders to Build With

Hacker News2
MakerThrive
MakerThrive29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

No Code courses, classes and products.

TrustMRRCommunity