Research a public figure.
Charlie Munger
Use when the target has enough public writing, interviews, biographies, speeches, or records to support a report.
NietzschePaul GrahamLaozi
Scan a public figurePublic-source research workspace
Research reportson public figuresand creator accounts.
MindShelf turns public articles, interviews, essays, videos, and account signals into private research reports with conclusions, thinking models, evidence boundaries, and follow-up questions.
Free source check firstCredits only after confirmationLimited evidence is labeled
Two ways in
Choose the public source type.
Run a Quick Scan for a named public figure or a public YouTube/TikTok account. MindShelf checks source strength before a full report starts.
Analyze a public creator account.
https://www.tiktok.com/@duolingo
Use public account signals to surface strategy patterns, evidence limits, and follow-up questions without copying identity or claiming private intent.
YouTube channelTikTok accountPublic creator
Scan a creator accountEvidence layer
Every conclusion stays tied to its sources and limits.
Reports separate what public material supports, what MindShelf infers, where the evidence is thin, and what should not be copied.
Quick Scan checks whether public evidence is strong enough for a full report, limited report, or no paid report yet.
Claims are organized as support, inference, limitation, and missing material.
Reusable models show when to use them, where they fail, and what not to infer.
Ask threads and notes stay linked to the report's original evidence boundary.
How it works
From source check to report workspace.
A simple path: check source strength, generate an evidence-backed model map, then use the report as a private workspace for follow-up judgment.
Source checkEvidence indexModel mapMisreading risksFollow-up questions
Before generation, MindShelf checks whether the available public sources can support a useful report.
Source boundary, evidence gaps, and a recommended research angle.The report is built as a research artifact, not a short summary: models are tied to evidence, limits, and failure modes.
An evidence-backed report you can inspect, question, and challenge.After the report is built, MindShelf keeps follow-up questions, decisions, and reusable takeaways connected to the original evidence.
A private report workspace that stays linked to the evidence.Public samples
See the report style before you create one.
These public samples are educational syntheses from public material. They are not official, endorsed, or real-time generations. Use them to inspect the actual output style before creating your own report.
Decision makingCharlie Munger
Munger's system inverts problems, keeps confidence inside competence, inspects incentives, combines models, and uses checklists to reduce predictable error.
Core modelInversion
Evidence boundary
Public Munger material supports inversion as an error-removal move; boundary: it must be paired with upside judgment.
Ask this reportShould I enter a crowded market where demand looks real, but incentives and downside may make it a trap?
Startup ideaPaul Graham
Graham's startup system treats idea quality as a test of real user need, manual learning, narrow initial markets, growth, and founder self-deception.
Core modelManual Learning Loop
Evidence boundary
Graham essays converge on behavior over pitch logic; boundary: praise and signups are not the same as retained pull.
Ask this reportI have a productivity app idea. How do I test if anyone actually needs it before building?
Personal principlesNaval Ravikant
Build specific knowledge, attach it to leverage, own the upside, improve judgment, and play long-term games with long-term people.
Core modelSpecific Knowledge
Evidence boundary
Naval's public material links ownership, leverage, judgment, and compounding; boundary: leverage magnifies weak judgment too.
Ask this reportFor a career move: am I selling more hours, or building specific knowledge attached to an owned asset?
Report workspace
Your report becomes a working reference.
A report gives you the research base. Ask follow-up questions, test decisions, and keep the useful takeaways tied to the original evidence.
Judgment system: inversion, incentives, competence boundaries.
5 models · 7 questions · 4 saved notesStartup judgment: narrow user pain before scaling the idea.
4 models · 6 questions · 2 saved notesPricing
Simple, transparent pricing.
Quick Scans are free for signed-in users. Full reports use one credit only after you confirm generation. MindShelf is built for public figures and public YouTube/TikTok accounts with enough readable source material.
Pro
$8 / monthFor focused study, better decisions, and learning from people you respect.
- 40 full reports per month
- Free Quick Scans before using credits
- Credits are charged only for completed reports
- 2,000 Ask credits for follow-up questions
- Evidence indexes, misreading risks, saved reports, and share links
Power
$24 / monthFor builders, researchers, and operators studying many people or public systems.
- 160 full reports per month
- Free Quick Scans before using credits
- Credits are charged only for completed reports
- 10,000 Ask credits for deeper follow-up and comparison
- Priority queue for heavier research use
Best fit: public figures, founders, writers, public experts, and public YouTube/TikTok profiles. Private accounts, single video links, and targets with very little public material may produce limited-evidence or blocked Quick Scan results before any report credit is used. Abusive, automated, or non-human usage may be limited.
Run a free Quick Scan first.
MindShelf checks source strength and asks you to confirm before any report credit is used.
Start free Quick Scan