arthurdelerue
Feedback about a Visualping alternative using AI to monitor websites
I'm launching an alternative to Visualing called Page Deltas ( https://pagedeltas.com ) to monitor websites using LLMs.The idea is to ask AI which part of a webpage you want to monitor, and let it summarize detected changes for you.Useful to monitor your competitors for example (their pricing, products, TOS, etc.).I'd love to have your feedback on this. Do you think it's useful? Any advice?Thanks
Re:Mr Tiff
on Monday November 10, 2025 @07:30AM (#45875301)
You can try our tool for example: https://KWatch.io
It monitors keywords mentioned on X, Linkedin, Facebook, Youtube, Quora, Reddit, and YC.
Journalists: A tool to monitor sources in real-time on social media
Re:Social Listening on Facebook
on Friday November 08, 2024 @03:36AM (#42085298)
More details about social monitoring on Facebook here: https://kwatch.io/monitoring-keywords-facebook-kwatch
Social Listening on Facebook
At KWatch.io we now support social listening on Facebook.You can receive real-time notifications when specific keywords are mentioned in Facebook posts or public groups. We don't monitor private groups yet though.We hope it will be useful to your marketing and sales strategy, and your opinions on this new integration are more than welcome.As far as we know, no other platform is able to monitor...
Re:The phone ban has had a big impact on school work
on Tuesday October 15, 2024 @04:36AM (#41846350)
If you need to get instant reply notifications and you do not want to refresh manually, you can use KWatch.io: that's a platform that I developed that monitors HN.
https://kwatch.io/monitoring-keywords-hacker-news-kwatch
You can give it the URL of a specific post or comment and it will notify you when new comments are made in the thread.
I hope it is useful.
Re:Ask HN: How to transcribe a couple thousand calls per day?
on Thursday September 05, 2024 @04:55AM (#41454830)
We use Whisper Large on NLP Cloud (https://nlpcloud.com/home/playground/asr). It works very well and it's simple to set up in my opinion. If you have a batch to process you could simply subscribe to their pay-as-you-go plan for a couple of weeks/months maybe?
Re:Show HN: I made a tool that automates competitor research for start...
on Friday July 12, 2024 @05:27AM (#40944006)
That looks like a useful tool. Identifying actual competitors is not as easy as it sounds, especially when one wants to start a new business. As far as I'm concerned I launched several SaaS businesses and everytime I've only been able to have a clear view of the competition after at least 6 months...
And then once entrepreneurs find their competitors on your platform, they can track them on social media thanks to my platform: https://kwatch.io :)
Good luck with the launch!
Re:Fine-grained Visual Transcription for YouTube videos
on Tuesday June 11, 2024 @03:37AM (#40643604)
I'm not sure why you say that current video transcriptions are bad. I use Whisper on NLP Cloud for video transcription (https://docs.nlpcloud.com/#automatic-speech-recognition) and it works very well.
As far as I understand, video transcription is a no-brainer as long as you install ffmpeg.
Re:Managing my motivation as a solo dev
on Thursday June 06, 2024 @01:53AM (#40593962)
For my SaaS I use https://kwatch.io which is equivalent to F5bot. The free plan is less generous than F5Bot, 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.
Re:Insanely Fast Whisper API Deployable to Fly GPU
on Wednesday May 29, 2024 @08:55AM (#40511472)
NLP Cloud is a good example of a smaller provider that proposes a good Whisper implementation (no downtimes and relatively cheap): https://nlpcloud.com/nlp-automatic-speech-recognition-speech...
Re:How to Build a Social Media Sentiment Analysis Pipeline
on Friday April 26, 2024 @05:44AM (#40167457)
Social media like Reddit, Hacker News, Twitter, etc. contain tons of genuine discussions that you might want to analyze automatically with sentiment analysis. For example you might want to monitor what people say about you, your product, your competitors, etc.
This is an article I just wrote that shows how to implement such a sentiment analysis pipeline using the following steps:
- Implement social media listening
- Integrate the data in your system with an API webhook processed in Python/FastAPI
- Analyze the sentiment thanks to generative AI models like GPT-4, LLaMA 3, ChatDolphin, etc.
I hope you will find it useful. If you have some comments about how to improve this pipeline I would love to hear them!
How to Build a Social Media Sentiment Analysis Pipeline
Re:Who uses Google TPUs for inference in production?
on Tuesday March 12, 2024 @10:39AM (#39680101)
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.
Re:Who uses Google TPUs for inference in production?
on Tuesday March 12, 2024 @10:35AM (#39680052)
I agree with that, and I'm not sure they'll be able to improve the stack dramatically by themselves without the open-source community being more involved.
Who uses Google TPUs for inference in production?
I am really puzzled by TPUs. I've been reading everywhere that TPUs are powerful and a great alternative to NVIDIA.I have been playing with TPUs for a couple of months now, and to be honest I don't understand how can people use them in production for inference:- almost no resources online showing how to run modern generative models like Mistral, Yi 34B, etc. on TPUs - poor compatibility between...