Numr – A Vim-style TUI calculator for natural language math expressions

Hacker News

Features: Natural language math: percentages, units, currencies Live exchange rates (152 currencies + BTC) Vim keybindings (Normal/Insert modes, hjkl, dd, etc.) Variables and running totals Syntax highlighting Stack: Ratatui + Pest (PEG parser) + Tokio Install: # macOS brew tap nasedkinpv/tap && brew install numr # Arch yay -S numr GitHub: https://github.com/nasedkinpv/numr Would love feedback on the code structure—it's a workspace with separate crates for core, editor, TUI, and CLI.

Visit product View on Hacker NewsNov 24, 2025

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7points

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Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

50%50% 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 · Strong signals: para · Missing: mobile apps, ios, personal

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: mac, macos, code · Missing: agents, agent, cursor

43%43% 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

34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Strong signals: para · Missing: supports, reddit linkedin, podcasting

32%32% predicted probability of success on Indie Hackers, 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

9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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