alongtheflow

btw this is full methodology of how we score.

https://seasonmap.app/methodology

Oh I added that recently! We use Price Level Index from World Bank's International Comparison Program 2021. (US dollars needed to buy the same GDP basket, normalised so World = 100). It's CC BY-4.0 open data. I found it to be a bit inaccurate though. Maybe I'll add big mac index. Numbeo was ruled out on licence and per-call cost.

haha european summers are the best though. long sun hours festivals everywhere. from my travels, i learned the cold countries (well i guess not spain) have the best summer.

haha yeah especially this summer! thanks for the feedback. yeah, the region/country aggregation can be a bit off. i'm still tuning the best parameter for each preset.

wow it's interesting to see other folks did researches like this when they plan for a trip. Any other data you researched that is missing here? Thanks for the feedback, the design is the part I want to improve the most. I'm not a fan of these Claude design.

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 sources

Data 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.

Will my Visa be Rejected, if I do not share Social Media accounts?

You need to share your social media accounts details for past 5 years. You are not sharing info and they discover your info, you may be tagged for not telling truth and maybe subject to visa rejection.

Location: San Francisco, CA

Remote: YES!!

Willing to relocate: Yes, as long as it's near a major metropolitan area in anywhere in the world.

Technologies: Python, JavaScript (ES6&&7, React, Redux, Node.js, Webpack), Go, C and Java

Resume: http://resume.sjlee.me

Email: me(at)sjlee.me

Website: https://sjlee.me

Github: https://github.com/seungjulee

Recent grad from WashU EECS; Won $50k and prizes from Google, Uber and Lyft at multiple hackathons; Worked at Groupon, UN, LG, and a Hadoop startup; :)

Aftermath of situation from left-pad. Some says that it started to break major projects like react-native.

https://github.com/azer/left-pad/issues/4#issuecomment-20006...

Still better than nothing.

Location: San Francisco, CA / Bay Area

Remote: Yes

Willing to Relocate: Maybe

Technologies: Node.js, React, Redux, Python, Scala, JavaScript

Résumé/CV: http://resume.sjlee.me

Email: [email protected]

I am a recent EECS grad from Washington University in St. Louis with 5 years of experience in Software Engineering. I a product-driven engineer who enjoys building a system that lasts long and helps people in their lives.

Last week at Launch Hackathon, my team won the 1st place prize from Google, the 2nd place prize from Uber, and the 3rd place prize from Lyft. We worked on an app that helps Uber drivers to predict Uber Surge price by analyzing and visualizing events data. I contributed to my team on the backend of the app, which integrated external APIs into the predictive engine.

Previously, I've won a $50k hackathon, and worked at Groupon, United Nations, LG and big data startups.

How do you handle sessions and user auth?