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)