All done, results are very promising! Examples are too long so here is one below, and this gist has more: https://gist.github.com/binarymax/6befa448df3f5fd6dba

All done, results are very promising! Examples are too long so here is one below, and this gist has more: https://gist.github.com/binarymax/6befa448df3f5fd6dba9 https://gist.github.com/binarymax/6befa448df3f5fd6dba9 Starting training using file 10m.txt Vocab size: 305432 Words in train file: 565170189 Alpha: 0.000045 Progress: 99.91% Words/thread/sec: 107.57k real 174m19.955s user 1315m35.661s sys 3m27.011s Enter word or sentence (EXIT to break): startup Word: startup Position in vocabulary: 390 Word Cosine distance ------------------------------------------------------------------------ startups 0.808231 bootstrapped 0.719379 entrepreneur 0.707722 starup 0.698379 bootstrapping 0.698216 incubator 0.683647 founders 0.664983 scrappy 0.660502 entrepreneurs 0.660176 entrepreneurial 0.656120 yc 0.652160 cofounder 0.651848 vc 0.650642 fledgling 0.636813 cofounders 0.632761 venture 0.622636 company 0.617562 incubators 0.612947 statup 0.608451 founder 0.608080 entrepreneurship 0.604812 sv 0.603689 bigco 0.602171 startuppers 0.592669 cofounded 0.588964 entrepeneurs 0.585747 solo 0.582533 entreprenuers 0.564045 boostrapped 0.562884 solopreneurs 0.559994 cofounding 0.559840 statups 0.558347 business 0.552922 bootstrapper 0.551885 techstars 0.545766 bootstrappers 0.545263 fintech 0.545090 fundable 0.542542 shotput 0.541257 accelerator 0.540787