⚽💻 This is our stadium 😅
Some people watch the World Cup from the stands.
Developers watch it with:
☕ Coffee
💻 VS Code
📱 Match on the second screen
🐛 A few bugs waiting to be fixed
One eye on the code.
One eye on the score
#worldcup #qatsui #engineerproblems #weatherapi
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Jun 12
The Future of Weather Services Is API-Driven 🌍
Weather data is becoming increasingly embedded in digital workflows. In many cases, forecasts are no longer consumed by people first – they are consumed by software.
Route optimisation platforms, renewable energy management systems, agricultural applications, climate risk models, digital twins and urban planning tools all rely on weather data flowing directly into automated workflows. The result is a rapidly expanding market for weather APIs.
Recent market analyses estimate the global weather API market at approximately USD 872 million in 2025, with projections exceeding USD 1.2 billion by 2034. Growth is being driven by digitalisation across sectors such as energy, transport, agriculture, insurance and climate risk management, alongside the increasing adoption of AI, IoT devices and real-time decision support systems.
This evolution reflects a broader change in how weather information is used. Organisations are moving beyond simple forecast displays towards systems that continuously ingest meteorological data and convert it into operational decisions. In the energy sector, weather APIs support renewable generation forecasting, grid management and infrastructure protection. In logistics, they help optimise routing and anticipate disruptions. In agriculture, they contribute to irrigation planning, field operations and yield optimisation.
As weather data becomes embedded deeper into operational processes, forecast quality becomes increasingly important. Access to weather data alone is no longer enough. Businesses need reliable forecasts, global coverage, high-resolution modelling, historical datasets, climate information, warnings and APIs capable of operating at scale across thousands of locations.
This is where the future of weather services is heading: weather intelligence delivered directly into business systems, enabling faster and more informed decisions without manual interpretation at every step.
➡️ At meteoblue, we support this transition through a portfolio of APIs covering forecasts, historical weather data, climate information, measurements, warnings, weather maps and specialised datasets for sectors including energy, agriculture, transport, urban resilience and sustainability. Our modelling infrastructure combines more than 30 weather models and data from over 250,000 weather stations worldwide to deliver weather intelligence at global scale.
➡️ Learn more: business.meteoblue.com/produ…
#WeatherAPI #WeatherData #ClimateTech #WeatherIntelligence #meteoblue
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544
Jun 11
client: “I need a weather app live by 12am.”
me: sleeps peacefully…
me at 11:59pm: opens WeatherAPI, grabs clean JSON, ships the project.
Built different.
#WeatherAPI #DeveloperLife #APIDevelopment #BuildInPublic #CodeLife
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Jun 10
We love free and instant weather data. Check out the OSINTCabal Weather Scraper for free on our website with exportable results!
osintcabal.org/livecenter/we…
#OSINT #OSINTtool #osinttools #opendata #openapi #apidata #weatherdata #weatherapi #scraping #osint4good
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🌦️ Weather data in one API call.
Real-time, forecast & historical weather with clean JSON/XML responses. Built for developers. ⚡
#WeatherAPI #DeveloperTools #APIIntegration #WeatherData
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⚽🌦️ Building for the World Cup?
Be prepared for every match with real-time weather, forecasts, wind, and rain alerts — powered by WeatherAPI.
#WorldCup #WeatherAPI #SportsTech #RealTimeWeather #APIIntegration
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WeatherAPI usage when Apple Weather calls are exhausted 😅
Hang in there Skydex users. The Apple Weather API kicks back in June 7
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7
i was running 3 weather APIs in production
three keys. three bills. three headaches at 2am.
then i found WeatherAPI.com → real-time, historical, marine & astronomy… all in one API.
migrated in one afternoon
#WeatherAPI #BuildInPublic #API #DeveloperLife #RoastMyCode
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May 29
🐉 Nuestro ensemble da 27.1°C para Munich mañana. Mismo rango, distinto método.
Nosotros no usamos Wunderground para decidir. Usamos 4 modelos (GFS, ICON, ECMWF, WeatherAPI) con pesos por región. Para Munich, ICON pesa 30%. Si una fuente falla, las otras compensan.
Coincidencia en el setup. 🐉
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May 29
Day 6 of my Generative AI Journey 🚀
Today I built a Weather Agent using Agentic AI that takes a city name as input and returns real-time weather details 🌦️🤖
Learned API integration, AI workflows.
GitHub:
github.com/Pranshu51/Agentic…
#GenAI #AgenticAI #AI #Python #WeatherAPI #LLM
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60
May 28
I didn't tell it which function to call. It figured it out.
Full feature list:
✅ Live crypto prices (BTC, ETH, DOGE) in any currency
✅ Real-time weather for any city via WeatherAPI
✅ Persistent conversation memory across turns
✅ Multi-turn dialogue asks follow-ups naturally
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May 28
🐉 Si estás construyendo un bot de clima para Polymarket, probablemente crees que necesitas APIs de pago. No es cierto.
El Dragón corre con 5 fuentes gratuitas: Open-Meteo, WeatherAPI, NOAA, TAF de aviación y priors históricos de 10 años.
Sin gastar un dólar en datos. Todo legal, todo dentro del free tier.
Si quieres saber cómo armamos el nuestro, preguntá nomás. 🐉#Polymarket #WeatherTrading
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May 28
Open-Meteo es el corazón del Dragón. Sin eso no existiríamos. Ensemble multi-modelo en free tier es un milagro.
Complementamos con WeatherAPI para observaciones reales, NOAA para USA, y TAF de aviación para verificar forecasts.
Wethr no lo tenemos. Lo analizamos esta semana para ver si lo añadimos como capa extra.
Where do the weather traders on @Polymarket dig up the freshest data and what do they actually use for analysis? Let's break it down:
Wunderground - main grail. Most markets are resolved based on this site. There are a ton of useful features inside if we dig a little deeper
Weathergov - another key resolution source for certain cities (Moscow, Istanbul, Tel Aviv, Taipei, Hong Kong). Data appears immediately after the report drops. Has both METAR and 5-minute ASOS for US markets. Most manual traders use this one for analysis. The cache updates every minute, so bots usually pull API data from here too. Still, always cross-check with WU because there can be 1-2 degree differences sometimes
Weathercom - IBM Weather Company (the source WU pulls from). Clean, intuitive site with solid info. Gives forecasts for specific stations up to a month ahead, but basically just another weather website
Open-meteo - the most important one in the whole list. Absolute goldmine. Has everything - over 30 models, historical data going back to 1940. Perfect for training your own model and getting the latest supercomputer predictions
Wethr - a fast, trader-focused analytics tool built specifically for weather futures. According to the devs, they release data 30-60 seconds faster than official reports. Lots of nice charts and tools. I haven't used it myself, but a lot of people swear by it. There's a paid version with deeper features and API access
Not a complete list by any means, but this is the solid foundation
Below you'll find the links to those sites
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1
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May 27
Lección 3: Un modelo corrupto contamina todo
Un ensemble de 5 modelos es como un coro. Si uno canta desafinado, arruina la sinfonía.
El 27 de mayo, ECMWF devolvió 15°C para Miami. GFS, ICON y WeatherAPI daban ~30°C. Nuestro consenso ingenuo promedió 26°C. El bot compró basura.
Solución: mediana del ensemble. Cualquier modelo que se desvíe más de 8°C de la mediana se descarta automáticamente. El coro ahora expulsa al desafinado antes de cantar. 🐉
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3
May 27
Excelente clasificación. Nuestro Dragón combina justo las categorías 1, 3 y 5:
• Ensemble multi-modelo (GFS ECMWF ICON WeatherAPI)
• Priors históricos de 10 años por ciudad/mes
• DeepSeek como sanity check para anomalías
La combinación de capas es lo que da edge sostenible.
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気象取引ボットを始動。今回は違う。
前のボットは自動で賭けを行いました。17ドルの資本で14ドルを失った。
教訓：AIが決定すべきではない。私がするべき。
新しいアーキテクチャ：
> YES価格が1-5¢の市場をスキャン
> 3つの情報源での予測を相互に確認：Visual Crossing、Open-Meteo、WeatherAPI
> 情報源が2°C以上異なる場合には信号を無視
> エッジが22％を超える場合にのみTelegramにアラートを送信
自動取引はなし。ただの信号。私が決定
フェーズ1：紙取引 - 実際のお金を使わずに予測の正確性を追跡
フェーズ2：データが動作することを証明した後、本当の賭けのみ
最初のボットとこのボットの違いはアルゴリズムではなく、最終的な決定を下すのは誰かです。
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May 25
🚀 Build weather features in minutes.
One endpoint, clean docs, real-time data, and 99.99% uptime — built for developers. ⚡
#WeatherAPI #DeveloperTools #APIIntegration #BuildInPublic
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May 24
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May 22
🌊 In the middle of the ocean, you don’t guess. You rely on data.
Marine weather, tides, waves, wind, and ocean forecasts — powered by WeatherAPI. ⚓
#WeatherAPI #MarineAPI #OceanForecast #DeveloperTools
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