Launched this week
AirSome

AirSome

The 'Aha!' moment for Airbnb reviews

110 followers

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.
AirSome gallery image
AirSome gallery image
AirSome gallery image
Free
Launch tags:SaaSGlobal NomadTravel
Launch Team
Turbotic Automation AI
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Promoted

What do you think? …

Ashwin Easo Zachariah
"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!
Kumar Abhishek

@ashwineaso That's useful. Did you create this extension out of your own need or you saw the gap? I am curious how did you come across this problem statement.

Ashwin Easo Zachariah

@zerotox Airsome started as a quick tool I whipped up to scratch my own itch. I realized that this might be a problem that others are facing too, and wanted to test that hypothesis.

Sally Liu

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.

Ashwin Easo Zachariah

@liusally4 Thank you for the support. And I agree, while building the product, we noticed that a majority of the listings were independent spaces, and shared spaces were almost nonexistent. This might also have been because the sample size was small, and we focused mostly on European cities, where they tend to value privacy more.

Nika

Will be there any extension + also something for Booking.com?

Ashwin Easo Zachariah

@busmark_w_nika Hopefully, yes! Once it achieves product-market fit, we will try to expand it to other platforms as well, including Booking.com

Nika

@ashwineaso I have my fingers crossed for you!

Anil Yadav

​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. ✈️

Ashwin Easo Zachariah

@anil_yadav38 Thank you for checking it out, and glad that you feel that way. We are exploring various methods to extract value from the reviews. Do let me know what you think AirSome could help you with when you plan your next vacation

Zeiki Yu

Congrats on the launch — love how you turn noisy Airbnb reviews into clear signals. 🚀

Ashwin Easo Zachariah

@zeiki_yu Thank you for trying it out! We are still working on improving it and adding more features that will turn it into a proper travel research tool. Would love to hear suggestions regarding what you'd find useful when you plan your next vacation.

Amber Wang

Hi @ashwineaso I love how this tackles a very real “reading fatigue” problem for Airbnb travelers! I absolutely hate wasting hours lost in Airbnb browsing too. Too many listings, too many reviews.

But I have one question: When it comes to interpreting sentiment vs. factual dealbreakers, how do you handle cases where the reviews are ambiguous or contradictory? There are often some cases that the vistor actually didn't have a pleasant experience but they didn't want to "make it look bad" so they just express very ambiguously. Can AirSome detect that?

Emil Tabakov

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.

Ashwin Easo Zachariah

@etabakov Thank you for trying it out! Yes, the extension tries to fetch relevant reviews based on recency and then summarizes based on that. But, as you mentioned, it looks like I have to continue tweaking it focus on more commonly mentioned attributes and not the outliers.

Emil Tabakov

Yeah, this one was not even recent and the person said the noise disappears after closing the doors and windows, which I think it the expectation. In that light, the analysis is even misleading:

The place is relatively quiet, but still, it is on a main entrance of the Sea Garden, so there is some outside noise that disappears when windows are closed. Have in mind that there is an air conditioner only in the living room. There might be repairs in some neighboring apartments (it is a brand-new building after all), but we’ve heard noise only one day for the entire week.

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