Instagram's Business Model

Instagram is growing at a rate similar to Twitter. Pictures don't need translation. That's just one aspect of the new photo sharing paradigm. An article in yesterday's New York Times describes some of the businesses that are doing well on the crest of Instagram's wave:
http://www.nytimes.com/2012/12/15/technology/on-instagram-a-thrivin...

What do you think? Is this intriguing enough for any of you to jump on the Instagram's bandwagon and try to do some business with it? How about ideas and case studies from those of you who wan to use Instagram's but aren't interested in making any money with it. What are you doing?

Views: 88

Replies to This Discussion

Permalink Reply by Shubham Aggarwal on December 18, 2012 at 3:03am

RSS

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

Presentation: The Time is Now: Delight Your Developers with User-Centric Platforms & Practices

Ana Petkovska discusses creating platform teams, establishing the team API, engagement of early adopters, easing adoption and providing a high quality product.

By Ana Petkovska

DeepSeek Open-Sources DeepSeek-V3, a 671B Parameter Mixture of Experts LLM

DeepSeek open-sourced DeepSeek-V3, a Mixture-of-Experts (MoE) LLM containing 671B parameters. It was pre-trained on 14.8T tokens using 2.788M GPU hours and outperforms other open-source models on a range of LLM benchmarks, including MMLU, MMLU-Pro, and GPQA.

By Anthony Alford

Article: A Framework for Building Micro Metrics for LLM System Evaluation

LLM accuracy is a challenging topic to address and is much more multi-dimensional than a simple accuracy score. Denys Linkov introduces a framework for creating micro metrics to evaluate LLM systems, focusing on goal-aligned metrics that improve performance and reliability. By adopting an iterative "crawl, walk, run" methodology, teams can incrementally develop observability.

By Denys Linkov

Google Releases Experimental AI Reasoning Model

Google has introduced Gemini 2.0 Flash Thinking Experimental, an AI reasoning model available in its AI Studio platform.

By Daniel Dominguez

Google Vertex AI Provides RAG Engine for Large Language Model Grounding

Vertex AI RAG Engine is a managed orchestration service aimed to make it easier to connect large language models (LLMs) to external data sources to be more up-to-date, generate more relevant responses, and hallucinate less.

By Sergio De Simone

© 2025   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service