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continued on my ahrefs DR reverse engineering. Around 10h investment, old model: correlation: 89%, new model: correlation 69% 😭
ahrefs DR reverse engineering: With my own efforts I only reached 70% correlation between model and reality. Hired someone on fiverr for $90 - now the correlation is 99% - I still cannot believe it - need some more checks but it looks very promising!
reverse engineering ahrefs DR model- part 137
reverse engineering ahrefs DR log scale - my manual approach was MUCH better than 2h of claude loops. Interesting: data science is another thing which works better by hand (or with external help) than with AI
reverse engineering ahrefs DR dimension - it's somehow logarithmic, but how exactly?
making Claude 3.5 Sonnet to come up with a pytorch code which finds a model which computes the ahrefs DR impact of a backlink. With manual exploration I came to a correlation of 66%. 5 minutes of Claude -> pytorch already pushed it up to 72%
Bump aiexperiments.co from Ahref score of 81% to 99% 
#aiexperiments
trying to find a better data science model for backlink analysis - spent around 16h for a promising new version - which turns out is worse than before 🙁
Integrate Ahrefs metrics for customers’ domains 
#kitdomains
tested succesfully keyphrase-extraction-kbir-inspec ai model via huggingface on newsletters to identify key words 
#sponsorgap
do correlations and other basic stats 
#zap
👨💻 re-create the "is the car damaged?" from kaggle | train the model on 64 picture and accuracy of the model is 92% 🤯
impact prediction model seems crap - refining it now with the help of Claude - and once again I'm blown away
run more tests to use AI huggingface model to run over substack newsletters and identify keywords and topics #sponsorgap
Full refacto of AI predictions and credit management 
#melies