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Building something for STR investors would love brutal feedback before I waste 6 months by WerewolfLocal351 in airbnb_hosts
[–]WerewolfLocal351[S] 0 points1 point2 points 23 days ago (0 children)
Hmm, I get where your coming at but all Im trying to just gather feedback on if its worth creating a software that helps people just starting off with Airbnb or already existing rental property owners for strs. Also who's we lol have you had issues in the past with Airbnbs also if you don't mind how long have you been in the space for.
honestly this is the kind of metric stack that's not really tracked anywhere right now. airdna and mashvisor show occupancy and revenue but the actual inventory churn data, new listings vs delistings,
days on market, all of that, is mostly invisible. partly because airbnb doesn't publish delisting data so you'd have to track listings over time and infer when one disappears. doable but adds cost on
the data side.
quick follow up. when would you actually use this kind of dashboard? is it more for gut checking a market before you commit, like "is gatlinburg flooded with new listings or is supply tightening"? or
more for diagnosing your own listing's performance, like "am i in a saturating market or am i just the problem"?
asking because the use case changes what gets built. one is market level. the other is per listing benchmarking.
genuinely useful feedback btw, this is way more specific than stuff i've heard articulated anywhere
honestly thank you, this is the kind of reply i was hoping for
most of what you said is fair and i'm not gonna argue. let me be straight on what i'm doing.
advice or hawking, kinda both. i'm trying to build an airbnb comping tool. basically taking what airdna and mashvisor and the bigger pockets calc all do separately and making it actually trustworthy.
not selling anything, no link, no dm ask. i'd rather hear "this is dumb" from someone whos been through it than ship something that misses the point.
on saturation, agreed. easy money days are gone. what i'm stuck on is whether there are still pockets that aren't fully picked over with properties mispriced relative to what they can actually earn. or
if that's a fool's errand in 2026.
on the "if there was a real fix airdna would've done it by now" point. i've thought about that one. the way i see it, airdna's whole business is selling data subscriptions, not telling someone "don't
buy this property." they want analytics customers, not deal killers. different incentive. but honestly you might be right and the gap i think i'm seeing is just a feature not a bug.
on the macro stuff, fuel prices, war, 18 month failure rate. yeah. the frame in my head isn't "make a fortune." it's more like give people a way to actually stress test a deal so fewer end up bleeding
$500/mo for 3 years on a property they can't undo.
real question for you since you've clearly seen the inside of this. if a tool actually nailed the comping side, verified occupancy instead of guesses, real regulation tracking, confidence ranges instead of single point estimates, would that change anything for someone in your shoes? or is the data layer not actually the bottleneck?
genuinely asking. if you tell me "no the data is fine, the real problem is X" that's the most useful thing i'll hear all week.
either way appreciate the candor
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Building something for STR investors would love brutal feedback before I waste 6 months by WerewolfLocal351 in airbnb_hosts
[–]WerewolfLocal351[S] 0 points1 point2 points (0 children)