
intermock
InterviewAI
applicado AI
IncBot
Formation
Interm AI
Himalayas App
Mock Interviewer AI
socketify.py
intermock
socketify.pyintermock's answer
I built everything using Python, FastAPI, Vite, and React. I also integrated the application with AWS using RDS, CloudFront, and S3. I set up the CI/CD pipeline with GitHub Actions.Firewalls, captchas, a custom authentication system, OAuth.
intermock's answer
The product I launched is an AI-powered platform to practice interviews. Instead of answering static questions, users talk to customized agents. I built these agents by studying chains with LangChain and applying fine adjustments to simulate different interviewer profiles.
Based on our record, socketify.py seems to be more popular. It has been mentiond 2 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.
These "benchmarks" are useless, they're not testing anything real world except the performance of uWebsockets. There are copy errors all over the place. And then an advertisement: https://github.com/cirospaciari/socketify.py#briefcase-comme... Is this a professional framework that produces proper, real-world benchmarks and... - Source: Hacker News / over 3 years ago
After starting the project called socketify.py at https://github.com/cirospaciari/socketify.py, I got pretty good results and reviews, but many people asked if socketify.py could be used to create a WSGI and ASGI server. WSGI and ASGI have a lot of overhead, that's is why I choose not to use them in the first place, but adding an ASGI and WSGI server allows a lot of code already written to run faster! Source: over 3 years ago
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