SVT – A fast terminal image viewer with sxiv-like keybindings

Hacker News

I built svt, a terminal-based image viewer inspired by sxiv. Motivation: I often need to browse images on remote servers over SSH. I wanted something fast and keyboard-driven that works entirely in the terminal (including inside tmux), but couldn’t find a good fit—so I built one. Features: - sxiv/vim-style keybindings with counts (e.g., 5j, 10k) - Works over SSH + tmux (auto-detects and enables passthrough when needed) - Fast rendering: cache + prefetch + zlib-compressed transport - Tile mode for a thumbnail grid view - OSC 52 clipboard support (e.g., copy image path even over SSH) - High-quality rendering via the Kitty Graphics Protocol (KGP) Requirements: a KGP-capable terminal (Kitty, Ghostty, WezTerm). GitHub: https://github.com/kan-bayashi/svt

Visit product View on Hacker NewsDec 27, 2025

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

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 · Missing: mac, agents, macos

63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: host · Missing: plus, platform, intuitive

56%56% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io, including · Missing: https docs, excited, just released

54%54% 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

35%35% 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

13%13% 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.

Incorrect prediction on native model

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