Krenta reads real App Store reviews and developer discussion, then hands you an evidence-anchored read on any app idea — sourced, timestamped, and reproducible.
Every read traces back to real App Store reviews and public developer chatter — not an AI's confident guess. You see what the source said.
Krenta surfaces the incumbents already competing in your space — pulled from real store data, not invented.
Every result is timestamped and fingerprinted with the exact model and prompt version behind it. Re-run it next month and compare.
Days of manually reading reviews and threads, returned as one structured read.
You can. It’ll give you a fluent, confident answer in seconds — and you’ll have no idea where any of it came from, whether the competitors it named are real, or whether you’d get the same answer twice.
Krenta does the opposite. It reads the actual reviews and developer discussion, shows you the evidence behind every claim, names the real incumbents, and stamps each result so you can reproduce it. An AI guess feels like an answer. Krenta gives you something you can check.
Faster than you can research it. More trustworthy than you can prompt it.
Real App Store reviews plus public developer and maker discussion (Hacker News, YouTube). It clusters what people complain about and ask for, names the incumbents already in the space, and returns one structured, sourced read — with a timestamp and reproducibility footer on every result.
No — and that’s deliberate. No tool can promise that, and the ones that pretend to are guessing. Krenta gives you better evidence to make the call yourself: what real users complain about, where incumbents are weak, how much demand the reviews suggest. The decision stays yours.
An AI prompt gives you an unsourced, unverifiable, non-reproducible answer that can quietly change every time you ask. Krenta’s read is anchored to real evidence, shows its sources, names the incumbents, and is fingerprinted so you can reproduce it and track how a space changes over time.