DSS, a lightweight TUI spreadsheet editor and dashboard in Go

Hacker News

Hi there, I tried to build a CLI tool to edit and visualize Excel/CSV files directly in the terminal, I called it "dss". I did it for fun to tweak spreadsheet formulas without leaving my terminal or opening heavy GUI apps. It is an interactive editor of sheets with charts and formula engine diretly in TUI. The formula engine is handmaded but I'd like to improve it. I copied a lot from my previous Datacmd project and from Termdash repo. Hoping to receive some feedback.

Visit product View on Hacker NewsApr 26, 2026

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

85%85% 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.

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

78%78% 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.

TrustMRRFits verified-revenue profile · Strong signals: apps, visualize · Missing: mobile apps, ios, personal

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

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

30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

24%24% 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

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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