A local-first research and judgment system for US tech investing, focused on evidence, decision history, and post-hoc calibration.
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Updated
Jul 17, 2026 - Python
A local-first research and judgment system for US tech investing, focused on evidence, decision history, and post-hoc calibration.
Self-evolving fundamental investment research AgentOS with human-in-the-loop decision journals, report-KB search, multi-agent analysis, and thesis validation.
结构化决策日志——用历史镜像对抗认知偏差
Capture decisions with full context, metadata, and confidence scores. Includes outcome tracking, notes, and CSV export.
Skills for learning investing through thesis logs, bear cases, earnings calls, and risk journals.
[ARCHIVED 2026-05-31 — superseded by https://kineticgain.com/trust/]
A beautiful, single-file decision journal powered by Google Gemini. Runs entirely in the browser with a glassmorphic UI.
Structured template for auditing decisions — separate luck from skill and improve your judgment over time
Printable decision workbook, Markdown templates, and free decision reset samples
A local Markdown decision-journal CLI for confidence capture and structured review.
Adversarial idea evaluation for Claude Code - kill bad ideas before they eat money, time, and attention. Every verdict compounds into a persistent, auditable decision ledger.
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