AppRoast
Discover why users hate (or love) any app
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About AppRoast
I got tired of manually reading app reviews, so I built AppRoast. While validating product ideas, I kept running into the same problem: Understanding *why* users are unhappy means digging through hundreds of repetitive App Store and Google Play reviews. - Across iOS and Android. - For your app. - And competitors. - It gets painful fast. So I built **AppRoast**. Paste any app and get an instant AI-powered roast based on real App Store & Google Play reviews. Right now AppRoast helps surface: π₯ Top complaints users keep repeating π What users actually love β‘ Quick wins for developers π± iOS vs Android differences π Real sentiment from ratings & reviews Works for your own app. Works for competitors too π **Honest MVP note:** Iβm launching early to validate demand before building the full platform. Roasts currently analyze a focused set of recent reviews to keep things fast (and free), while still surfacing strong patterns quickly. The bigger vision: β deeper historical analysis (up to 5,000 reviews) β monitoring & sentiment alerts β competitor tracking β PDF reports β roast history & comparisons Iβd genuinely love founder feedback: **Would you actually use something like this?** And more importantly: **What would make this valuable enough to pay for?** AppRoast β approast.app
Product Insights
AppRoast provides AI-driven sentiment analysis for iOS and Android apps by processing live reviews into actionable feedback. The web-based platform currently operates as a free MVP for developers and founders to test product-market fit through competitor and self-review analysis.
- Cross-platform analysis covering both App Store and Google Play reviews simultaneously.
- Freemium pricing model starting at $0 for quick web-based app roasts.
- Dual-purpose functionality for both internal product validation and external competitive intelligence.
- Focus on identifying repeating complaints and specific quick wins for development teams.
Ideal for: Developers, indie hackers, and founders who need to analyze user sentiment and competitor weaknesses from mobile app reviews.
Product Video
Watch a video demo of AppRoast.
Screenshots
Product Updates (1)
Day 1 of launch π
Hereβs what the most checked apps look like after the first day of APPROAST. π Most Checked Apps (based on 96 total app checks) TikTok β 15% Uber β 13% WhatsApp β 12% Instagram β 10% Facebook β 9% ChatGPT β 8% Spotify β 8% YouTube β 7% Discord β 6% Duolingo β 5% Interesting start π BTW: what do you think about adding real-time stats to the site with filters for day / week / month / all-time? Would you actually use it?
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Reviews (3)
Average 5.0 out of 5
Based on 3 reviews
Cool concept. My only question is retention β I can see myself using this heavily during launch or when iterating on onboarding, but maybe not daily. That said, competitor analysis feels like the hidden gem here. Being able to quickly see why users hate competing apps is genuinely valuable. Congrats and good luck with the launch π
Comments (5)
Cool concept.
Interesting positioning. Most review analytics tools tell you what users said. This seems more focused on why users are frustrated and what to actually do next. Curious β are you planning monitoring/alerts?
This scratches a very real itch. Reading app reviews manually is one of those things everyone knows they should do, but nobody actually has time for. I like that you turned it into something opinionated instead of another generic βAI senti
Mining reviews to find what users actually hate is underrated competitor research. At Bunzee we surface similar sentiment signals at the idea stage. Which app category produces the most actionable roast data?
Built AppRoast because manually reading App Store & Google Play reviews is miserable π Honest MVP β would you actually use AI-powered app review roasting? What feature matters most?