Think of it as a Zapier for the AI development process. While Zapier connects with various tools, we connect with several AI model providers. We have built client SDKs to enable interaction with AI workflows directly from applications.
Eachlabs.ai's answer
Each AI is unique is its user-friendly drag-and-drop interface that simplifies the process of building and deploying AI models. Unlike other platforms, Each AI seamlessly integrates multiple AI model providers, allowing users to easily create customized AI workflows without deep technical expertise.
Eachlabs.ai's answer
Our primary audience is mobile app publishers and studios.
Eachlabs.ai's answer
In our founder-customer meetings, we discovered that customers want to combine AI models to obtain more relevant results. They also find it time-consuming to identify the best model for their use case, often having to run the same prompt across multiple AI models and manually compare the results.
To validate our idea, we scheduled user interview meetings, utilizing 'mom-test' questions. We conducted 50 user interviews within just two weeks and then began building our AI Workflows product.
Eachlabs.ai's answer
Neon App, SevenApps, Mars Studios, A1 Apps...
Based on our record, GitHub seems to be more popular. It has been mentiond 2320 times since March 2021. 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.
Sign up at: https://github.com You'll need this for hosting your code and CI/CD pipeline. - Source: dev.to / about 14 hours ago
> AFAIK - the only reason FDB isn't massively popular is because no one has bothered to write good layers on top. I do know of a few folks writing a SQS, DynamoDB and SQLite layers. I started writing this comment: > It seems interesting, but considering what it's for, why aren't the hyperscalers using it? And while writing it I started searching for FoundationDB and found this: >... - Source: Hacker News / 3 days ago
Engaging with open-source projects on platforms like GitHub allows you to work on real-world problems alongside experienced developers. Itโs a great way to learn while contributing to the community. Plus, you can showcase these contributions in your portfolio! - Source: dev.to / 6 days ago
Import requests Import time From datetime import datetime Def check_website(url, timeout=5): """Check if a website is accessible""" try: start_time = time.time() response = requests.get(url, timeout=timeout, headers={ 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36' }) response_time = round((time.time() - start_time) * 1000, 2) ... - Source: dev.to / 12 days ago
7 If hosted in GitHub, check how many issues there are and how frequently issues are being resolved. - Source: dev.to / 15 days ago
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