Ru

Rustormy – a neofetch-style weather CLI in Rust

Hacker News

Rustormy – a neofetch-style weather CLI in Rust

I built `rustormy`, a minimal terminal tool to check the weather with ASCII art and ANSI colors. Features: - Current conditions (temp, wind, humidity, pressure, precipitation) - ASCII icons + color output - Input by city or lat/long - Metric/imperial units, JSON output, multi-lang (EN, RU, ES) - Live mode with auto-refresh - Works out-of-the-box with Open-Meteo (no API key), also supports OpenWeatherMap Install via `cargo install rustormy` or grab a prebuilt binary from releases page Repo: https://github.com/Tairesh/rustormy Would love feedback, feature ideas, or bug reports -- especially from CLI/TUI fans.

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Actual performance

5points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created
81%81% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: open · Missing: mac, agents, macos
58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
49%49% predicted probability of success on AppSumo, 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
39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% 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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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