Codetown
Codetown ::: a software developer's community
Starting and Running Your Own Company, by Matt Raible
My good bud Matt just published an article about his business and I think it's worth sharing: http://raibledesigns.com/rd/entry/how_to_setup_your_own1
Matt's sees consistent success for a few reasons. One: he is passionate about the technology. You can't go far in a business with just a smile and good personality! Two: he gets around. I see Matt at conferences, both as a speaker and attendee. Three: He's a great networker. So, he gets the gigs. How does that work? Well, it's not enough to just dig the technology. That's baseline. People have to want to work with you, too!
Enjoy the article and let me know what you think. Personally, I love being both a freelancer and small biz owner. As my old friend Rick once said "Would you rather be invited to the party or throw it yourself?"
(image from a GoDaddy ad)
Views: 50
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.
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.
InfoQ Reading List
New Token-Oriented Object Notation (TOON) Hopes to Cut LLM Costs by Reducing Token Consumption
The recently released Token-Oriented Object Notation (TOON) aims to be a schema-aware alternative to JSON that significantly reduces token consumption at a similar level of accuracy. While the existence and importance of token saved depend on the data shape. some benchmarks show TOON may use in some cases 40% fewer tokens than JSON, possibly resulting in LLM and inference cost savings.
By Bruno CouriolOlmo 3 Release Provides Full Transparency Into Model Development and Training
The Allen Institute for AI has unveiled Olmo 3, an open-source language model family that empowers developers with full access to the model lifecycle, from training datasets to checkpoints. Featuring reasoning-focused variants and robust tools for post-training modifications, Olmo 3 promotes transparency, experimentation, and community collaboration, driving innovations in AI.
By Robert KrzaczyńskiNexla Launches Express: A Conversational Platform for AI Data Engineering
Nexla recently introduced Express, a conversational data engineering platform designed to dramatically lower the barrier for building data pipelines for AI applications.
By Craig RisiCloudflare Global Outage Traced to Internal Database Change
Cloudflare’s recent global outage, linked to a database update, caused widespread disruption and highlighted the risks of single-vendor reliance. While service was restored, the incident sparked discussions on the importance of multi-vendor strategies in tech. Cloudflare's CEO vowed to enhance system resilience, emphasizing that outages can impact even the largest providers.
By Steef-Jan WiggersGrafana Unveils Smarter Logs, an MCP Server, and TraceQL Upgrades in Latest Releases
Grafana Labs has published major updates across two of its core observability products: Grafana 12.3, and Grafana Tempo 2.9. The two releases have distinct improvements in monitoring, logs, and tracing for Grafana users.
By Matt Saunders
© 2025 Created by Michael Levin.
Powered by
