
socketify.py
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socketify.py
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XMAGNET's answer:
Xmagnet combines B2B contact discovery, email validation, data enrichment, and email campaign automation into one unified platform. Our AI Chat Agent lets you simply describe your ideal customer in plain English โ and it automatically finds contacts, builds lists, and creates campaigns. No switching between 5 different tools. One credit system powers everything: search, validate, enrich, and send.
XMAGNET's answer:
Unlike Apollo or ZoomInfo, Xmagnet bundles contact search, email/phone validation, LinkedIn enrichment, multi-step email sequences, and inbox-connected sending into a single platform with one unified credit system. You don't pay separately for validation, enrichment, and campaigns. Our AI agent lets you go from "find marketing directors at SaaS companies in NYC" to a fully built campaign in seconds. Plus, we offer both mass email (NextGenEmail) and personal inbox sending (MyConvo) โ most competitors only offer one.
XMAGNET's answer:
Sales teams, SDRs, growth marketers, recruiters, and founders at B2B companies who need to find prospects, verify their contact info, and run outbound email campaigns โ all without juggling multiple subscriptions. Ideal for startups and SMBs scaling their outreach.
XMAGNET's answer:
Xmagnet was built out of frustration with the fragmented B2B sales tooling landscape. Teams were paying for one tool to find contacts, another to validate emails, another for enrichment, and yet another for campaigns. We built Xmagnet to be the single platform that handles the entire outbound workflow โ from discovering your ideal customer to landing in their inbox.
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Next.js (React) for the frontend Python/Flask for the backend API PostgreSQL for the database Auth0 for authentication Nylas for email account connectivity AWS (SES, QuickSight) for email delivery and analytics Resend for transactional email AI/LLM integration for the Xmagnet Chat Agent
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Sunmartech LLC Sunmartech LLC
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