ThingSpeak
AWS IoT
Countly
Particle.io
Axonize
Azure IoT Hub
AWS IoT Core
Ubidots
Replicate.com
fal
OpenRouter
Kie.ai
Veogen.studio
ToAPIs
Yamify.co
RouterBase
ThingSpeak
Replicate.comThingSpeak might be a bit more popular than Replicate.com. We know about 9 links to it since March 2021 and only 8 links to Replicate.com. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
First of all, you need to ask yourself how familiar you are with MatLab. Then from a dev point of view, could you use an API to reference cloud data then apply analytics. Great intro to IoT. I can see that company going far in 5-10 and may invest based on trajectory. Https://thingspeak.com. Source: almost 3 years ago
You can use solutions like thingspeak https://thingspeak.com/. Source: over 3 years ago
I'm not sure yet. Maybe something custom, but probably not. I was thinking about Thingspeak before. Source: over 3 years ago
I haven't got around to MQTT yet, but as an easy interim solution I recommend ThingSpeak https://thingspeak.com/ as you can set up an account for free and getting an ESP to send data to it is trivial. Plus you can access it via the web, or embed their graphs and dials into a webpage. The graphics are a bit meh though. Source: over 3 years ago
ThingSpeak for IoT Projects Data collection in the cloud with advanced data analysis using MATLAB Https://thingspeak.com/. Source: over 3 years ago
You're building an app that generates images, transcribes audio, or synthesizes speech. Two API platforms keep showing up in your research: Replicate and deAPI. They run many of the same open-source models and charge per use. - Source: dev.to / about 1 month ago
Replicate: Provides APIs for integrating diverse hosted models into shared pipelines. - Source: dev.to / about 2 months ago
Running AI models in production typically requires managing complex infrastructure, GPUs, and scaling challenges. Replicate simplifies this by providing a cloud API to run thousands of AI models without managing any infrastructure. - Source: dev.to / 7 months ago
Before diving into how vision prompting works, letโs first look at where we can put it to the test. In this case, weโll be using several endpoints available on Replicate, which weโve optimized with Pruna to make them cheaper, faster, and more efficient. All of Prunaโs models are available here. - Source: dev.to / 8 months ago
Take Perplexity they didnโt just call the OpenAI API; they built a full-stack retrieval engine with caching, ranking, and live search inference. Or Replicate, which gives developers an API to run open-source models at scale, no data center required. RunPod makes GPU clusters accessible for indie builders, and Mistral is shipping models that make even GPT-4 blink twice. - Source: dev.to / 8 months ago
AWS IoT - Easily and securely connect devices to the cloud.
fal - Generative media platform for developers. Build the next generation of creativity with fal. Lightning fast inference.
Countly - Product Analytics and Innovation. Build better customer journeys.
OpenRouter - A router for LLMs and other AI models
Particle.io - Particle is an IoT platform enabling businesses to build, connect and manage their connected solutions.
Kie.ai - Affordable DeepSeek R1 API with powerful reasoning and robust security.