PorchWeather – a free site that pings you when it's nice outside

Hacker News

I live in the Bay Area, and so the weather cools down to a comfy temperature in the evenings. Opening up the windows to let the fresh air in has saved me a decent amount on A/C bills. Checking a forecast every hour to catch that moment is exactly the kind of job a computer should do. PorchWeather watches one saved location and a set of conditions you pick (temperature range, wind, rain, dew point, air quality) and sends you a notification when conditions become nice, and another when they stop. That's the whole product. It's free, web-native (not an app), and notifications are browser push or email. Some implementation details HN might find interesting: Stack: SvelteKit SPA, Rust backend, DynamoDB, Cognito for auth, SES for email, Self-hosted Open-Meteo for weather all on ECS Fargate. The weather layer serves ECMWF global plus NOAA HRRR at 3 km resolution for the US. Notifications are primarily through web push. I'd love to do SMS through twilio, but it seems prohibitively expensive for a free service unfortunately. iOS devices make this a little harder because you have to "install" the app on the home screen to get push notifications. I may end up creating an app at some point to make this easier if there's demand.

Visit product View on Hacker NewsAug 28, 2026

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Product HuntOn track for Day 1 leaderboard · Strong signals: computer, email, open · Missing: mac, agents, macos

74%74% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting

69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: plus, host · Missing: platform, intuitive, reviews

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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