Track paper deadlines, monitor experiment runs, log citation counts, and manage grant milestones — all pinned to your wallpaper. Works over SSH. Zero cloud dependency.
Researchers juggle papers, experiments, grants, teaching, and conferences. QuickSheet keeps it all visible without opening yet another app or browser tab.
Conference submission deadlines (ICML, NeurIPS, CVPR, CHI) always visible. Color-code by urgency. Never miss a deadline again.
Log hyperparameters, metrics, and status for each run directly in cells. CSV format means easy import into pandas or R later.
Use the ext: arxiv 2301.07041 prefix to pull paper titles, authors, and abstracts directly into cells.
Track deliverables, reporting dates, and budget spend across multiple grants. Progress bars show completion at a glance.
Running on a headless server or HPC cluster? QuickSheet's CSV files sync trivially via rsync, git, or shared filesystems.
No SaaS account, no data leaves your machine. Perfect for sensitive research data, IRB-protected datasets, or air-gapped labs.
Here's how a typical PhD student or postdoc might lay out their desktop:
| Need | QuickSheet | Notion / Obsidian | Google Sheets | Terminal (htop/tmux) |
|---|---|---|---|---|
| Always visible (no window switching) | ✓ Desktop wallpaper | — (window) | — (browser tab) | — (terminal window) |
| Works offline / air-gapped | ✓ Fully local | ✓ Local mode | — Needs internet | ✓ |
| CSV-native (pandas/R compatible) | ✓ Native format | — Export only | ✓ Download as CSV | — |
| Live command output in cells | ✓ i: prefix |
— | — | ✓ But no grid layout |
| Zero setup / zero account | ✓ One binary | — Account needed | — Google account | ✓ |
| Extensible (ArXiv, weather, stocks) | ✓ 25+ extensions | ✓ Plugins | ✓ Add-ons | — |
| Works over SSH / on HPC | ✓ CSV + rsync | — | — | ✓ |
Track all upcoming paper deadlines. Use i: echo $(( ($(date -d '2026-06-15' +%s) - $(date +%s)) / 86400 )) days for live countdowns. Color cells red when <7 days remain.
Log every experiment run with model, learning rate, batch size, and metrics. CSV format lets you import pandas as pd; df = pd.read_csv("dashboard.csv") for analysis.
Use inline commands to poll Semantic Scholar API: i: curl -s "api.semanticscholar.org/..." | jq .citationCount. Watch your h-index grow from your wallpaper.
Monitor your SLURM jobs: i: squeue -u $USER --format="%.8i %.9P %.30j %.2t" | head -5. See which jobs are running without opening a terminal.
Keep a living reading list with paper titles, venues, key takeaways, and "read ✓/✗" status. Use ext: arxiv <id> to auto-fill metadata.
Track spending across personnel, equipment, travel, and indirect costs. Column sums (Σ) show totals. Progress bar cells (p: 28) visualize burn rate.
Look up arXiv papers by ID. Returns title, authors, abstract, and publication date directly in your cells.
Word count, reading time, Flesch-Kincaid readability score. Perfect for checking paper abstracts and grant proposals.
CPU, RAM, disk, and uptime monitoring. Keep an eye on your local workstation or lab server resources.
Track API costs for OpenAI, Anthropic, and other LLM providers. Essential if your research uses large language models.
One command. No account. No cloud. Your data stays on your machine.
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