Have you put up a website and tried some of the following simple, common monetization techniques? Let's talk case studies. Please give us some feedback as a comment, for starters.

 

1. What's your website about? Feel free to keep it anonymous.

2. Do you charge for advertising? How do you go about marketing, rates and ad placement (framework)? For example, do you tell potential advertisers your visit volume? What's your success been? What's worked best and worst?

3. How about Google Adsense and Adwords? Have you used them and what has your experience been?

4. How do you go about implementing Search Engine Optimization and what has your experience been?

5. Do you have an online store? Are you a reseller or a source of products? Do you use a framework or component for your store/cart/checkout?

6. What's your endgame strategy? Do you plan an exit? Do you have a monetization plan or did you just start the site with the intention of selling it at some point?

7. What are your feelings about putting up a custom site vs using the piggyback technique with a Facebook, etc?

8. Do you have other monetization approaches like membership fees, etc? What has your success been?

9. Please tell us some tips and lessons learned. Ask some questions. We're eager to learn from your experiences and give you feedback. These are just a few questions that came to mind. Feel free to tell us what you know.

10. Is your website a primary frontpiece for the startup or is it an extension of something else, perhaps a bricks and mortar business or a partnership?

 

That's a start!

 

 

Views: 55

Happy 10th year, JCertif!

Notes

Welcome to Codetown!

Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
Continue

Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.

Looking for Jobs or Staff?

Check out the Codetown Jobs group.

 

Enjoy the site? Support Codetown with your donation.



InfoQ Reading List

Github Integrates AI to Improve Accessibility Issue Management and Automate Feedback Triage

GitHub has launched a continuous AI-powered workflow to manage accessibility feedback at scale. Using GitHub Actions, Copilot, and Models APIs, the system centralizes reports, analyzes WCAG compliance, and automates triage while maintaining human validation. Teams now resolve feedback faster, improving inclusion and cross-functional collaboration.

By Leela Kumili

Axios npm Package Compromised in Supply Chain Attack

On March 31, 2026, two versions of the Axios library were compromised and found to contain a Remote Access Trojan. The malicious packages were published through a hijacked maintainer account. The Axios team is investigating how the breach occurred and has deprecated the affected versions. Security experts emphasize the need for better dependency management.

By Daniel Curtis

Helidon 4.4.0 Introduces Alignment with OpenJDK Cadence and Support via Java Verified Portfolio

Oracle has released version 4.4.0 of Helidon, their microservices framework, featuring alignment with the OpenJDK release cadence, support via the new Java Verified Portfolio, new core capabilities, and agentic AI support for LangChain4j.

By Michael Redlich

How to Handle Trusts and Psychological Safety When Scaling Organizations

As organizations scale, communication overload, loss of shared context, and trust gaps emerge, Charlotte de Jong Schouwenburg mentioned. Trust must be built team by team; it can’t be replicated. Trust is interpersonal, while psychological safety is among people and fuels learning. Leaders must deliberately design structures, rituals, and metrics that reward transparency and cohesion at scale.

By Ben Linders

GitHub Will Use Copilot Interaction Data from Free, Pro, and Pro+ Users to Train AI Models

GitHub will use Copilot interaction data from Free, Pro, and Pro+ users to train AI models starting April 24, opting in by default. Collected data includes code snippets, inputs, outputs, and navigation patterns from active sessions, including private repos. Business and Enterprise tiers are excluded. Community concerns include dark patterns, IP exposure, and GDPR compliance.

By Steef-Jan Wiggers

© 2026   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service