Ai Viral
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Indie SaaS founders shipping with tools like Lovable or Cursor
Reading 13F filings manually means you're always three steps behind — by the time you've parsed the XML, cross-referenced the positions, and written your summary, the next filing cycle has started. WhaleWatch.ai sits between the SEC feed and your analysis, doing that parsing and summarization automatically.
$99/month · Free tier: Limited access to 13F filings, Basic whale activity feed, Community support · Checked Oct 22, 2026
The platform monitors 13F-HR filings continuously, converts raw position data into a dashboard organized by fund and ticker, and surfaces AI-generated summaries that explain what a given institution bought, sold, or rotated into — and why the move might matter. The live activity feed is the centerpiece, showing position changes attributed to named funds with dollar values attached. Where it earns its place is in the research compression: instead of spending an hour on one fund's quarterly moves, you get a structured read in seconds. The ceiling appears when you need the raw filing data itself for compliance, attribution, or further modeling — the platform is a reading layer, not a data export engine.
Bottom line: Solid for a portfolio manager who needs to spot sector rotation across ten funds in a morning scan; a poor fit for a quant team that needs clean, normalized 13F data piped into their own models.
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WhaleWatch.ai monitors SEC 13F-HR filings and converts them into a live dashboard showing institutional position changes — new entries, exits, additions, and reductions — attributed to named funds like Bridgewater, Tiger Global, and Two Sigma. The core workflow is passive: the platform ingests filings as they publish, structures the data into fund-level and ticker-level views, and generates AI summaries explaining the moves in plain language. You can follow specific funds, set custom alerts on movement thresholds, and query the AI layer with natural-language questions about what a fund did in a given quarter.
The differentiating feature is the AI summary layer sitting on top of the filing data. Rather than reading position tables yourself, you ask what Tiger Global did in a given quarter and get a structured breakdown — new positions, increased holdings, full exits, and a short thesis on the directional shift. The vendor describes this as being powered by proprietary market data, which positions it as something beyond a raw SEC feed aggregator, though the actual analytical depth of the AI output is not independently verifiable from the page content alone.
This tool fits the workflow of a financial professional who needs daily awareness of institutional moves without building or maintaining a data pipeline. It does not fit teams that need 13F data in a machine-readable format for downstream modeling, backtesting, or compliance systems. There is no self-hosted option and no API listed on the page, which means the data stays inside the WhaleWatch.ai interface — useful for a human analyst, a blocker for any automated workflow that needs to consume the data programmatically. The free tier exists but is described as limited; the AI-driven insight layer and custom alerts are paid-only features.
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