AI-powered summaries of Airbnb reviews. Find dealbreakers in seconds. Stop wasting hours reading through dozens of Airbnb reviews. AirSome uses advanced AI to instantly summarize reviews and surface dealbreakers, so you can book with confidence in seconds instead of spending 15+ minutes per listing.
"Hi Product Hunt! 👋
I’m Ashwin, the creator of AirSome.
My partner and I spent several hours last month reading Airbnb reviews for our trips, trying to figure out if the 'quiet street' in the description was actually next to a bustling bar. We realized every traveler does this 'Review Detective' work manually.
I built AirSome to change that. It’s a Chrome extension that scans recent reviews and surfaces the 'Dealbreakers' (noise, bad Wi-Fi) and 'Hidden Gems' (best local cafe mentioned by a guest) in seconds.
The Launch Special: I'm giving everyone 50 free summary credits to start. No credit card, just download and find your next perfect stay.
I’d love to hear your feedback on the summary accuracy. Is this something that you'd find useful? Something that can be expanded to other platforms. Let me know!
Wow, AirSome is genius! The time savings alone are worth it. How does it handle reviews that mention conflicting pros/cons in the same sentence?
Review Detective work is a real pain. Imma try this out next time I'm travelling. Any future plans to expand on this on other platforms like Booking.com or Agoda.com ?
Congrats on the launch — love how you turn noisy Airbnb reviews into clear signals. 🚀
I've just been through an AIRBNB strike as per my vacations, would haved loved to get this last summer when I booked my vacations
I have used basic search filters on travel sites before, but they always miss the nuance that a summary tool like this catches. This is a much more advanced way to vet a host. ✈️
Love the product! It feels like a much better way to find a place that actually clicks.
Just a tangential thought (might be a bit off-topic): I read some stats recently that 'shared spaces' on Airbnb are shrinking. Apparently, the average live-in host gets burnt out after about 80-100 guests. It feels like homestays are just becoming hotels these days.
Congratulations on the product launch! Solving the "comment fatigue" problem is of great significance. We also faced a similar "survey fatigue" issue in Dashform and have been striving to make the data collection process smoother. I'm curious about how your AI weighs these comments: Will it prioritize recent comments over earlier ones? The five-star reviews released in 2019 might become a two-star negative review in 2024. How does this "decisive factor" logic handle this temporal decay? I really hope to learn from your methods.
Interesting idea! I'm both a host and a traveller and tried it on my own listing. I have 4.96 rating out of 125 reviews.
The analysis focused significantly on a single review that mentioned outside noise. That's out of 125. The apartment is in a city, and yes, noise is as with every other city.
The other "bad" thing was reviews that were not specific - well, thank you :)
Maybe some tweaking with focused on some threshold for significance would help. Otherwise, solid product - upvoted.
