OpenStream

The water of the inland sea was very warm, almost hot, and the atmosphere was hot and heavy above it.

The steaks we had that night

The easiest way to dockerize your Laravel project. you can set up Laravel in just 10 minutes...

Dockerize Your Laravel Project in a Jiffy

Everyone makes mistakes, not just beginners, but even professionals. This article goes over a dozen common mistakes that Java newbies make and how to avoid them

12 Common Java Mistakes Made by Newcomers

Well, after 2 weeks of waiting I received my Huawei GT-2. Sure, Chinawatch watches you and all, but that was fine with me.

How I Programmed A Huawei GT-2 Watch To Display Net-Aggregate Crypto-Yields

Stream Processing enables users to query continuous data streams and detect conditions fast within a small time period measured from the reception time. The detection time period may vary from few milliseconds to minutes. For example, with stream processing, you can receive an alert by querying a data streams coming from a temperature sensor and by detecting when the temperature has reached the freezing point. ( If you are new to the topic, please read <a href="https://medium.com/stream-processing/what-is-stream-processing-1eadfca11b97" target="_blank">A Gentle Introduction to Stream Processing</a>. )

How to Choose a Stream Processor for Your App based on Advanced Features?

Stream enables you to listen to fee changes in near real-time using SQS, webhooks or websockets. In this tutorial, we will discuss how to use AWS <a href="https://aws.amazon.com/sqs/" target="_blank">SQS</a> &amp; <a href="https://aws.amazon.com/lambda/" target="_blank">Lambda</a> to respond to feed updates.

Using the Stream Real-Time Firehose with AWS SQS, Lambda, and SNS

<a href="https://getstream.io" target="_blank">Stream</a> powers feeds for over 300+ million end users. With all of those users relying on our infrastructure, we’re very good about testing everything that gets pushed into production. Our primary codebase is written in Go, with some remaining bits of Python.

Testing Node.js in 2018

<a href="https://getstream.io/" target="_blank">Stream</a> is an API that enables developers to build news feeds and activity streams (<a href="https://getstream.io/try-the-api/" target="_blank">try the API</a>). We are used by over 500 companies and power the feeds of more than 300 million end users. Companies such as Product Hunt, <a href="https://stackshare.io/under-armour/connected-fitness" target="_blank">Under Armour</a>, Powerschool, <a href="https://stackshare.io/bandsintown/bandsintown" target="_blank">Bandsintown</a>, <a href="https://stackshare.io/dubsmash/dubsmash-scaling-to-200-million-users-with-3-engineers" target="_blank">Dubsmash</a>, Compass and Fabric (Google) rely on Stream to power their news feeds. In addition to the API, the founders of Stream also wrote the most widely used <a href="https://github.com/tschellenbach/stream-framework" target="_blank">open source solution for building scalable feeds</a>.

Stream & Go: News Feeds for Over 300 Million End Users

<a href="https://getstream.io/" target="_blank">Stream’s API</a> is used in production by more than 500 companies and 200 million end users. While we like to move fast, we definitely don’t like to break things.

Go testing at Stream

Have you ever System-d dot out an Object and got its class name @ its hexadecimal hashcode?

A blooming good Java toString for the rest of us

A while back I wrote <a href="https://medium.com/@albarrentine/statistical-nlp-on-openstreetmap-b9d573e6cc86">a piece</a> publicly introducing <a href="https://github.com/openvenues/libpostal">libpostal</a>, an open-source, open-data-trained C library and companion NLP model for parsing and normalizing international street addresses. Since then, libpostal’s user base has grown to include governments, startups, large companies, researchers, and data journalists from over a dozen countries around the&nbsp;world.

Statistical NLP on OpenStreetMap: Part 2

Learn the four-layer web mapping architecture most tutorials miss—and avoid costly refactors, rate limits, and performance bottlenecks.

The Mapping Stack Most Developers Get Wrong (and How I Got It Right)

How a rocket scientist turned entrepreneur created the “ChatGPT for Earth data” using transformers and satellite imagery

This Open-Source AI Reads the Earth Like ChatGPT Reads Text

Learn how we built a custom reverse geocoding API to process geospatial data, improving speed, accuracy, and scalability for our iOS app, AWAY

How We Built a Fast, Affordable Reverse Geocoding System for Our iOS App

Explore how big data, GIS, and 3D mapping tools like Cesium and GeoPandas power the development of spatial digital twins in smart cities.

How Digital Twins Use Big Data to Mirror the Real World

Learn how to map your data across modality, velocity, and sources to build effective vector retrieval systems and avoid costly architecture mistakes.

The AI Engineer’s Playbook: Master Data Sources for Retrieval Systems (Part 1)

Ramsundernag Changalva transformed financial operations with OneStream XF, cutting processing time and boosting real-time insights across a tech enterprise.

Setting New Standards in Enterprise Financial Transformation by Ramsundernag Changalva

This study proposes a method to estimate drive times between U.S. ZIP codes using Google Maps API, offering a valuable resource for spatial analysis.

A Nationwide Drive Time Matrix Between U.S. ZIP Code Areas: Conclusion, Acknowledgement & References

A Nationwide Drive Time Matrix Between U.S. ZIP Code Areas: Abstract and Introduction

Explore the future of multimedia design with kinesthetic haptic interactions and dynamic vehicle innovations. 

Exploring Drone Dynamics: Stability and Force Generation in Multimedia Design

45 U.S. cities and found a quartet of major ISPs routinely charged customers the same price for vastly different internet speeds

Our Maps Can't Find You

A tutorial showing how to implement retrieval as an LLM-invoked tool with Vercel's Generative UI components library.

How to Build a "RAG Tool" With Vercel's Generative UI Components

This guide will walk you through building a RAG application using NextJS, the OpenAI API, and Dewy as your knowledge base.

Creating a RAG chatbot with NextJS, OpenAI & Dewy

I will illustrate how to use Mapbox with React and explain how these technologies work together.

OPENSTREAM

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Since 1997

OpenStream's stories on HackerNoon

The steaks we had that night

Dockerize Your Laravel Project in a Jiffy

12 Common Java Mistakes Made by Newcomers

How I Programmed A Huawei GT-2 Watch To Display Net-Aggregate Crypto-Yields

How to Choose a Stream Processor for Your App based on Advanced Features?

Using the Stream Real-Time Firehose with AWS SQS, Lambda, and SNS

Testing Node.js in 2018

Stream & Go: News Feeds for Over 300 Million End Users

Go testing at Stream

A blooming good Java toString for the rest of us

Statistical NLP on OpenStreetMap: Part 2

The Mapping Stack Most Developers Get Wrong (and How I Got It Right)

This Open-Source AI Reads the Earth Like ChatGPT Reads Text

How We Built a Fast, Affordable Reverse Geocoding System for Our iOS App

How Digital Twins Use Big Data to Mirror the Real World

The AI Engineer’s Playbook: Master Data Sources for Retrieval Systems (Part 1)

Setting New Standards in Enterprise Financial Transformation by Ramsundernag Changalva

A Nationwide Drive Time Matrix Between U.S. ZIP Code Areas: Conclusion, Acknowledgement & References

A Nationwide Drive Time Matrix Between U.S. ZIP Code Areas: Abstract and Introduction

Exploring Drone Dynamics: Stability and Force Generation in Multimedia Design

Our Maps Can't Find You

How to Build a "RAG Tool" With Vercel's Generative UI Components

Creating a RAG chatbot with NextJS, OpenAI & Dewy

Maps on the Web Using React and Mapbox

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