Pobshell – A Bash‑like shell for live Python objects

Hacker News

Hi HN, I've just launched Pobshell. Think cd, ls, cat, and find — but for Python objects instead of files. Stroll around your code, runtime state, and data structures. Inspect everything: modules, classes, live objects. Plus recursive search and CLI integration. What it's for: - Exploratory debugging: Inspect live object state on the fly - Understanding APIs: Examine code, docstrings, class trees - Shell integration: Pipe object state or code snippets to LLMs or OS tools - Code and data search: Recursive search for object state or source without file paths - REPL & paused script: Explore runtime environments dynamically - Teaching & demos: Make Python internals visible and walkable Pobshell is pick‑up‑and‑play: familiar commands plus optional new tricks. 2 minute video demo: https://www.youtube.com/watch?v=I5QoSrc_E_A Install: pip install pobshell Github: https://github.com/pdalloz/pobshell Pobshell is open source, and in alpha release. Tested on MacOs, Linux and Windows (Python 3.12)

Visit product View on Hacker NewsJun 28, 2025

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

86%86% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, pipe · Missing: https docs, excited, just released

64%64% 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

58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

53%53% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

42%42% 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

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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.

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