I’m not sure how often the data updates, particularly for hotels, but it would be cool to see how the price of a location changes over time, maybe week by week for a nomad. For places like Da Nang this would probably be quite interesting to see over time, but it would also be good because in light of world events or other things prices in certain locations may change quickly, but it isn’t clear if that is reflected in the data.

Using AI tools to help research and plan trips, would be great to have a MCP to use with Claude, ChatGPT etc to use this while researching trips.

Hi there! I’ve found a few spots on Google Maps that aren't showing up on your site yet. Do I need to list them somewhere, or will they update automatically over time? Thanks, mate! Love the idea and a brilliant website.

Fix backups local, merge all backups from cloud, multiple drives, and old laptops into one

https://x.com/josepchetrit/status/2056245472252019100?s=20

While many services fluctuate, a static hotel rating can be deceptive. For example, if I stayed at a hotel rated 9.3 last year and it has since dropped to 8.8, my experience will likely feel like a downgrade, leading to a perceived lack of 'value for money.' Conversely, a new guest might be perfectly satisfied with an 8.8. To bridge this gap and build trust in AI-driven ratings, I suggest implementing a Dynamic Rating Timeline. This would allow users to see if a hotel’s performance is trending upward or downward, providing much-needed context to the final score.

Hotellist makes me think you also need gymlist with good concrete filters for amenities, verified via pictures (official + visitor posted). - exact opening hours (with all the variability of weekdays, weekends, holidays, etc.) - fixed passes (day pass, week pass, month pass, etc) - how you can buy entry (website, in app, in person only, in person at specific time ranges only… (sucks to show up to a 24hr gym to find you cant get in)) - dumbbells (weights available) - barbells (weights available) - a large litany of specific machines (hack squats, pendulum squats, … use some large DB of machines — LLMs probably can recapitulate 100s of machines) - sauna (and concrete details — temp, whether they let you put water on heater, etc) - steam room - lockers (self-locking or must bring lock) - showers - cleanliness level (some 5-star or n/10 rating, with clear standards. be harsh) - crowdedness level (same) - pools (length, # of lanes, etc) - sports center courts (basketball, tennis, racketball, squash, soccer, track, etc) - chain (equinox, LA fitness, anytime fitness, powerhouse) you could also have “summary profiles” like: - powerlifting (must have barbells, heavy dumbbells, a bunch of different racks, deadlift areas, etc) - bodybuilding (must have cables, a bunch of granular weights to dumbbells, some selection of popular machines, etc)

Some of us select travel destinations based on much more specific requirements. eg: - internet speed {<10 Mbps, 10-50, 50-150, 150-300, 300+} - sauna - (dry/finnish, löyly (able to put water on heater), temp range ({<60, 60-70, 70-80, 80-90, >90}) - gym weights (dumbbells (up to what weight), barbells, - gym racks (bench press, squat rack, smith machine, etc) - in-room coffee machine (nespresso, keurig) this could be a paid for / advanced feature. You could automate getting this by (a) enabling visitors to submit verifiable info (pictures), or (b) robocalling all the hotels and confirming.

It's the usual addition of city pictures. You can pick the first result of search or what ai generate or find back.