Alternatives
Products that do what Open-source ontology – SEC fund filings does
Working on a schema for joining SEC fund filings across documents. The core problem: these filings describe the same fund in different formats and no standard exists for cross-document semantic queries. Interested in feedback on the ontology design — especially from anyone working with fund data, XBRL, or FIBO.
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Hey HN, I'm excited to announce a new release of OntoCast — an open-source framework for extracting semantic triples and building knowledge graphs (KG) from unstructured documents (PDF, JSON, Markdown, and more). Before extracting facts, OntoCast automatically selects or creates a relevant ontology and iteratively refines it, leading to much more accurate and context-aware fact extraction. This is especially valuable for cross-domain or complex documents where a static ontology falls short. - Agentic workflow: Uses LLMs (OpenAI/Ollama) to drive the extraction and ontology refinement…
2025 · github.com
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2019 · github.com
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I posted this a few weeks ago and the server died under the traffic. Fixed that by adding an in-mem caching layer with Redis/valkey and added CloudFront caching for static content. Also upgraded the server. Also fixed the Firefox bugs, trying again. It's a research tool for US stocks. Financials for ~10k companies pulled from SEC filings. You can chart any metric across companies, filter news by ticker, ask questions in plain English and get a chart back. There's also SQL console against the whole database, which is the part I like to use together with the AI chat (generates an SQL…
Jun 2026 · terminal.tesseractanalytics.ai
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I've developed a web app that organizes financial statements from SEC. There are similar products on the Internet, but all of them I found just "abstracts" raw information into something. For example, typical website has "Revenue" as a top-line metrics. In reality, that can be "Total Revenue", "Net Sales", "Operating Revenue", and so on. Those website can't cover exceptional values in same reason. I believe serious investors need raw financial statements aggregated because each number reflect the companies' financial performance. Major platforms like Bloomberg does that but too expensive for…
2024 · finboard.net
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Source of truth SEC filing data for humans and AI
Jul 2026 · castlingfinancial.com
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2019 · github.com
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We release an open source version of Andrej Karparthy's open knowledge base, and we scale it to support long PDFs with Pageindex. Any feedback is welcome to help us improve this project! Github repo: https://github.com/VectifyAI/OpenKB
Apr 2026
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ExtractBench - A Benchmark for Schema-Guided Enterprise Document Extraction - run-llama/ExtractBench
26d ago · github.com
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This is a project I have been working on for the past several months Extracted all fundamentals for every US company from SEC filings through XBRL tags.
Jun 2026 · intrinsiqq.com
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Hi HN, We’re a small team working on 13Radar.com, which we launched about two weeks ago after 4 months of development. I’m the founder, and together with the team we’re building a platform that tracks hedge fund portfolios in real-time based on SEC Form 13F filings. AI has been a major helper in our workflow. For a single webpage, we often consult multiple AI systems in parallel, generating different versions and comparing them side by side before deciding on the final design or implementation. More than 60% of the research, design, and coding involved AI assistance. For UI design we used…
Nov 2025 · 13radar.com
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Paper trade, backtest, and query 10-Ks. All open source.
Jul 2026 · open-papertrade.vercel.app
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