CineCLI – Browse and torrent movies directly from your terminal

Hacker News

Hi HN I built CineCLI — a cross-platform terminal app to browse movies, view details, and open torrents directly in your system torrent client. Features: - Search movies from the terminal - Rich UI with ratings, runtime, genres - Interactive & non-interactive modes - Magnet handling via system default client - Linux/macOS/Windows support - No ads, no tracking GitHub: https://github.com/eyeblech/cinecli PyPI: https://pypi.org/project/cinecli/ Would love feedback from terminal + Python folks

Visit product View on Hacker NewsDec 23, 2025

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Actual performance

348points

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

66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released

62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

19%19% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

11%11% 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

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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