Define keywords to track on Reddit, Twitter, Linkedin, Quora, Facebook, and Hacker News. Once a keyword is detected on a social media platform, receive a real time alert when a keyword (email or API webhook) AI automatically analyses the context around the keyword (sentiment analysis).
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Based on our record, KWatch.io should be more popular than Viral Post Generator. It has been mentiond 3 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.
For my SaaS I use https://kwatch.io which is equivalent to F5bot. The free plan is less generous, but on the paid plans you can monitor Twitter, Reddit, Quora... These days getting organic traffic from Google seems to be harder and harder, so such platforms are good customer acquisition alternative solutions in my opinion. - Source: Hacker News / 28 days ago
How does this solution compare to platforms like https://kwatch.io or brand24 for hacker news monitoring? Does it monitor hacker news in real time? - Source: Hacker News / 4 months ago
I agree, except about this statement: "it wouldn’t be too difficult to port most models to Jax" --> We tried such ports at https://kwatch.io (the company I work for), and it appeared to be much harder than expected (at least for us). I don't think so many people are capable of porting an LLM based on PyTorch + GPU to Jax + TPU. - Source: Hacker News / 4 months ago
Next best tip is to pick a super simple language generation use case (like "excuses generator") and fine-tune GPT-3 on 100 good examples on it. Most people are not bothering to fine-tune but it makes all the difference. Remember the Linkedin viral post generator? Something like that. You can use a free SEO tool like Ubersuggest to find niche ideas, and this way you'll keep getting SEO traffic once the initial buzz... Source: over 1 year ago
No, sorry, we outsourced to automation https://viralpostgenerator.taplio.com/. Source: over 1 year ago
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