
Serenity (@aleabitoreddit) is a leading AI/Semi supply-chain analyst on X (900K+ followers), known for surfacing hidden names early. I'm a fan, not Serenity: this AI Skill turns Serenity's public posts into a daily report — every stock mention tagged bullish, bearish, or neutral, with stance history and source links. Slice by day / week / month / quarter to spot patterns in the coverage. Not affiliated with Serenity; not investment advice — just a research interface for those public posts.

When AI semiconductors, robotics, CPO, compute, power equipment, or innovative drugs trend, few know which supply chain, company, stock, or fund direction to follow. Serenity.skill turns the approach from Serenity / @aleabitoreddit's public content into an Agent Skill: from a hot theme it breaks down the chain, locates the hardest-to-scale bottleneck, then screens candidates against filings, earnings, customers, capacity, and risks — turning hype into a prioritized research list.

Research Context Management helps agents run long, evidence-heavy research without losing sources, claims, contradictions, or next steps. It builds a durable workspace with a source ledger, batch notes, claim matrix, contradiction register, working brief, and handoff checkpoint, so deep research, audits, market scans, and reports can be reviewed, resumed, and turned into reliable outputs with clearer evidence trails.

Forces AI agents to verify every company claim with a Tier 1 source and a date before including it in any job search shortlist — so your research produces fewer, stronger candidates instead of confident guesses.

Built by aegntic.ai. Veritas Operator runs a multi-agent, adversarially-reviewed research pipeline that synthesizes sources into a decision-grade, citation-backed brief. Designed for analysts, journalists, and operators who need ground truth fast.

Built on the buy-side research process used at 10+ hedge funds: - Screen: customizable filters across 10,000+ SEC-registered companies - Research: a full research report, plus AI-driven dialogue to help you form your own thesis - Value: a DCF model with an interactive HTML file - Size: half-Kelly position sizing to help you limit account drawdown - Recheck: pulls up your original thesis before you sell, no emotional trading

Transform trusted industry research into actionable investment insights by combining AI, statistical inference, Bayesian mathematical models, and quantitative analysis to detect market regime shifts and uncover investment opportunities before they become obvious.

Manage verified email alerts for meaningful stock information in Serenity’s public X posts. Receive concise English summaries, company/ticker mentions, author stance and original links. Independent project; not affiliated with Serenity.

Market Research from affaan-m’s ECC project. Use it for market sizing, competitive analysis, investor due diligence, technology scans, and other business research. It gathers sourced evidence, flags stale data, includes risks and counterarguments, separates facts from inference, and turns findings into clear, decision-oriented recommendations.