SEC Analyzer
AI-powered SEC filing sentiment analyzer for investors
What it does
SEC Analyzer helps retail investors read between the lines of corporate filings. What makes it different: - AI analyzes 10-K, 10-Q, and 8-K filings in seconds - Extracts hidden warnings CEOs won't say directly - Flags risk factors that could affect stock prices - Provides buy/sell/hold recommendations - 100% free to use Most investors spend hours reading SEC filings. This tool does it in 30 seconds. No signup required. No email needed. Just paste a filing URL or text.
Does the same job
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- IBI built an AI tool to analyze SEC filings the minute they're released2024 · docdelta.ca · ▲62
Hello everyone, I built this tool on Next/Node to automatically analyze new filings from the SEC and probe the Edgar API for new filings 24/7. We use AI to analyze the filings the second they are released. Free accounts to look at real filings (automatically updated) are available to any who sign up. If you have any questions feel free to ask.
- IMI made a free tool that analyzes SEC filings and posts detailed reports2025 · signalbloom.ai · ▲292
(* within a few minutes of SEC filing) Currently does it for 1000+ US companies and specifically earnings related filings. By US companies, I mean the ones that are obliged to file SEC filings. This was the result of almost a year long effort and hundreds of prototypes :) It currently auto-publishes for 1000 ish US companies by market cap, relies on 8-K filing as a trigger. e.g. https://www.signalbloom.ai/news/NVDA will take you to NVDA earnings Would be grateful to get some feedback. Especially if you follow a company, check its reports out. Thank you! Some examples:…
AI Stock AnalyzerMay 2026 · aistockanalyzer.org · ▲2Institutional-grade stock research & PDF reports in seconds
- SASearch and analyze millions of SEC filings with AI.2025 · publicview.ai · ▲41
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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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Dev tools · May 2026 · github.com