socketify.py
SnitchFeed
Brand24
Octolens
KWatch.io
Redreach.ai
F5Bot
BrandWatch
mention
SnitchFeed is a social listening and lead-generation platform built for GTM teams at startups and small B2B companies.
It continuously monitors Reddit, X/Twitter, LinkedIn, and Bluesky for brand mentions, keywords, and competitor signals, then enriches every match with AI analysis for relevance, buying intent, and sentiment. Instead of drowning you in raw keyword hits, SnitchFeed drops promotional posts and spam and delivers only real opportunities.
Set up boolean keyword listeners in minutes, get instant alerts where your team already works, and route qualified leads into your CRM or automation stack via webhooks.
The core idea: people posting "does anyone know a tool for X?" have already identified their problem and are ready to buy, which is far higher intent than cold outreach or paid ads. SnitchFeed surfaces those moments.
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SnitchFeed started from a simple observation: the warmest leads aren't in any database. Every day people publicly ask for exactly what you sell on Reddit, LinkedIn, and X, but by the time you find those threads (if ever), a competitor has already replied. Traditional social listening tools were too expensive and too noisy to catch these moments for a small team. SnitchFeed was built to fix that: monitor the platforms where buyers actually talk, use AI to filter down to genuine buying intent, and deliver those signals in real time so a two-person GTM team can act like a much bigger one.
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Go-to-market teams at startups and small-to-mid-size B2B companies: founders, sales leaders, growth/demand-gen marketers, and community managers who need to find warm leads, protect brand reputation, and track competitors without an enterprise budget or a dedicated analyst.
SnitchFeed's answer:
Enterprise tools like Brandwatch and Mention are expensive, complex, and built for large brand-monitoring teams. SnitchFeed is built for lean GTM teams at startups and SMBs: it's affordable ($59/mo to start), set up in minutes, and focused on turning conversations into pipeline rather than dashboards and reports. You get AI relevance scoring so you're not buried in noise, real-time alerts to Slack/Discord/webhooks, boolean targeting, historical data from day one, and a 7-day free trial with no credit card. It does one job extremely well: surface warm leads and critical mentions before your competitors act.
SnitchFeed's answer:
Most social listening tools count keyword mentions. SnitchFeed scores intent. Every match is run through AI for relevance, buying intent, and sentiment before it ever reaches your feed, so instead of a firehose of keyword hits you get a short list of people who are actually ready to buy. It's purpose-built to catch high-intent moments like "does anyone know a tool that does X?" the second they happen, then route them where your team already works.
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
