Codetown ::: a software developer's community
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!
Tags:
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.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
Check out the Codetown Jobs group.

Pinterest Engineering cut Apache Spark out-of-memory failures by 96% using improved observability, configuration tuning, and automatic memory retries. Staged rollout, dashboards, and proactive memory adjustments stabilized data pipelines, reduced manual intervention, and lowered operational overhead across tens of thousands of daily jobs.
By Leela Kumili
Franka Passing discusses the architectural shift of Duolingo’s 500+ backend services to Kubernetes. She explains the move toward GitOps with Argo CD, the transition to IPv6-only pods, and the "cellular architecture" used to isolate environments. She shares "reports from the trenches" on managing developer trust, navigating AWS rate limits, and productionizing early adopter services.
By Franka Passing
How can you focus in a sea of results from a large regression test suite? This article describes a stochastic approach that relies on some degree of redundancy in your CI regression test set. This approach does not guarantee you will catch every bug every time, but it gives you your best bet of not missing the subtle signatures of all the bugs uncovered by your CI regression test suite runs.
By James Bornefelt WestfallIn this episode, Thomas Betts and Adi Polak talk about the need for context engineering when interacting with LLMs and designing agentic systems. Prompt engineering techniques work with a stateless approach, while context engineering allows AI systems to be stateful.
By Adi Polak
A 600-run benchmark by Ruby committer Yusuke Endoh tested Claude Code across 13 languages, implementing a simplified Git. Ruby, Python, and JavaScript were the fastest and cheapest, at $0.36- $0.39 per run. Statistically typed languages cost 1.4-2.6x more. Adding type checkers to dynamic languages imposed 1.6-3.2x slowdowns. Full dataset available on GitHub.
By Steef-Jan Wiggers
© 2026 Created by Michael Levin.
Powered by