I turned my personal website into a bash shell (with Vim)

Hacker News

Hi HN, This is my personal site, but instead of the usual landing page it drops you into an interactive shell. It's a React SPA with a virtual filesystem and command history. About 28 commands work the way you'd expect (ls, cd, cat, tree, find, grep, head, tail, wc, which, man, history, mkdir, touch, rm, cp, mv, echo, env, sudo, open, clear, pwd, whoami, date, uname, vi, vim). Tab completion, piping where it makes sense, and a help if you get stuck. I keep adding commands when I'm bored, suggestions welcome. Try help or just ls. PS. Can you find the Easter-egg?

Visit product View on Hacker NewsMay 26, 2026

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

69%69% 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 · Missing: supports, reddit linkedin, podcasting

57%57% predicted probability of success on Indie Hackers, 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.

TrustMRRLess likely to generate early MRR · Strong signals: personal, way · Missing: mobile apps, ios, 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: filesystem, io · Missing: https docs, excited, just released

45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

16%16% 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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