Stefanos Karagos

i built a jev review machine (it’s better than any market research tool you can find) give it a product or competitor and it goes through thousands of reviews across app stores, reddit, amazon, g2 and more then it pulls out the stuff that actually matters → why people buy → why they churn → what features they keep asking for → recurring pain points → the exact phrases customers use instead of throwing 10,000 reviews into one prompt, jev reads them individually, extracts the signals, groups them into themes and ranks them by frequency, intensity and recency so the output is not just a summary it becomes a full product + marketing brief you can see: → which complaints are growing → what users love most → what they wish existed → where competitors are weak the competitor side is probably the best part 1–3 star reviews become a churn map showing why people leave and what you could build or position around it can also turn real customer language into hooks, ad angles, positioning and product priorities rt + comment “reviews” and i’ll send the full framework + build guide (follow for dm)