Build guide
Mina Choi's Research Ranger build
Work through the steps in order. Tick each one off as you go; progress is saved in this browser.
Build guide · updated Sep 6, 2026
A literature pipeline: nightly arXiv digest, adversarial summaries on demand, and a citation database you can actually trust.
- Steps
- 5 (1 optional)
- Time
- 1 h 50 min
- One-time
- $1,398
- Monthly
- $20/mo
Walkthrough
Set up the literature database
A Notion database with columns: paper, why it matters, the model's objection, my verdict, and 'why I believe this' for every citation.
Easy20 minFree/mo (Notion education plan)Equips: Notes & tasksCost note: Notion education plan
You need - Notion account
Links Schedule the arXiv digest
A cron job at 02:00 fetches new listings for your keywords, asks the model to rank them, and writes the top five into the database.
Medium45 min$20/mo (Gemini via Google One AI Premium)Equips: AutomationCost note: Gemini via Google One AI Premium
You need - Step 1
- A machine that is on at 02:00 (laptop on a charger counts)
- Python 3
Links crontab -e
0 2 * * * ~/bin/arxiv-digest.sh >> ~/logs/arxiv.log 2>&1
Make the adversarial-summary prompt
One saved prompt: 'What is the weakest part of this paper and what would a hostile reviewer say?' Use it on every PDF before reading.
Easy10 minFreeEquips: Main modelYou need - Step 2
Links Transcribe seminars locally
whisper.cpp on the laptop. Record on the phone, drop the file in a folder, get a transcript next to your notes.
Medium30 minFreeEquips: VoiceYou need - Homebrew or a C compiler
Links Run
$ brew install whisper-cpp $ whisper-cli -m models/ggml-base.en.bin -f seminar.wav -otxt
Read in timed sprints
Twenty-five minutes on the Watch timer, one paper, then a two-minute spoken summary that goes into the database unedited.
Easy5 min$399 (Any Apple Watch; a kitchen timer also works)Equips: WearableCost note: Any Apple Watch; a kitchen timer also works
You need - Step 1
Links
What the character sheet looks like when every step is done.
- Main modelEpic
Gemini
Google
Whole PDFs in one context
- Coding toolCommon
VS Code
Microsoft
Notebooks and plots
- VoiceRare
Whisper
OpenAI
Transcribing seminar recordings
- SearchEpic
Perplexity
Starting point, never the ending
Free/mo (Free tier) · Free tier
Site:Perplexity (opens in a new tab) - AutomationCommon
cron / launchd
Nightly arXiv digest
- HardwareCommon
MacBook
Apple
Library laptop
- WearableRare
Apple Watch Ultra
Apple
Timers for reading sprints
- Notes & tasksRare
Notion
Lit review database
Free/mo (Education plan) · Education plan
Site:Notion (opens in a new tab)