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SeasonMap

when to travel where? visualized with climate data

Details

External ID
49728781
Source
HN
Company
—
Product
SeasonMap
Website domain
seasonmap.app
Launched
Sept. 16, 2026
Cohort
—
Upvotes
23
Upvotes percentile
0.7559808612440191
Tags
—
Fetched at
Sept. 20, 2026, 5:44 p.m.
Updated at
Sept. 20, 2026, 5:44 p.m.

Description

Author here. I'm trying to visit every country and I've been to 158 so far.Before I decide where to travel, I'd ask a local friend which season to avoid, or open up dozens of browser tabs on climate data to figure out what the place is like in a given month.Climate data still miss things. Cancun in September looks great on paper, with 31°C and 10 hours of sun, but it's hurricane season and the beaches can be covered in seaweed.Typical info that locals would know, which can also be captured as static data.So I built SeasonMap to answer "when should I go to <place>?"What you can do:- Pick a travel style (city walk, beach, hiking, skiing, max sun, low humidity, etc.) and see every place ranked on a map- See what's in season and what to avoid, and why: monsoon, hurricanes, extreme heat, bad air, peak crowds- Filter destinations by temperature, rainfall, sunshine, air quality and hazard seasons- Open a place to see its whole year: month by month weather, events (festivals, whale watching, cherry blossom), crowd levels, practical notes like scams, and traveller anecdotes summarized by AI with links to the sourcesData Source & how I made it: - The climate data is ERA5 normals via Open-Meteo (2016–2025), corrected with NOAA station data where available.- Events, hazards and traveller notes were researched and by AI agents, and every one links to its source. Gathering it was easy. Checking it was the hard part.- Yes, I've used AI heavily on this project before anyone call it an AI slop. Making was easy, but it took billons of tokens of beating whack-a-mole ai to polish and tweak to make it usable and decent. Through that, I've created many skills and evals ranging from visual qa, evals for irregular data, automated i18n and others. It still feels much like AI as I was using Claude Design, which i want to improve on. I tried using local llm, but the throughput was so low.Pricing: the first 5 minutes are fully open, no signup. After that, the top 3 destinations and 25 place breakdowns a month are free. A 30-day pass is $7, $39 a year or $69 lifetime.iOS and Android apps are coming soon.Any feedback welcome.

Enrichment

Theme
Vertical
Travel & hospitality
Function
Analytics & BI
Audience
B2C
AI stance
Not AI
Project type
Hobby / open-source project
Normalized one-liner
climate-based travel planning visualization for travelers
Manually corrected
False

Could you build this?

Yes This is an interactive map interface (e.g., Mapbox or Leaflet) filtering destinations against aggregated historical climate and weather datasets, which is well-suited for vibe coding.

Discussion

9 comments analyzed.

Competitors mentioned: Numbeo

Concerns raised: Design looks too visibly AI-generated, Inaccurate recommendations (e.g. hiking in Spain in August), Inaccurate region/country aggregation data

Feature requests: Rank destinations by cost, Improve UI design to not look AI-generated, Add Big Mac Index

Competitors

Other products that read as similar to this one — 142 launches clear the similarity bar, closest 8 shown.

Attention rank: #32 of 143 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 319 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a analytics & bi tool for Legal yet.