ValueAgent
AI agents read the 10-K so you don't have to
ValueAgent launched on May 31, 2026 with 3 votes, #3,449 of 20,538 launches that month and more than 50% of that year's launches.
What it does
Type a US ticker. 30 minutes later, get a 12,000-word value-investing thesis written by 6 AI agents — trained on Buffett, Klarman, Hohn and Chanos. What's different: - Six specialist agents, not one generalist LLM - Primary sources only — SEC EDGAR direct, no paid feeds - Every claim audited against the source with a trust scoreboard - Four named kill criteria — built to fail loudly, not quietly First thesis free. No advice. Just the work.
Type a US ticker. Our agents read every public filing and run the numbers the way Buffett and Klarman do — then hand you a clear verdict: Buy, Watch, Pass, or Avoid. First thesis free.
Does a similar job
all alternatives →
AutonomousJan 2026 · becomeautonomous.com · ▲64Superintelligent financial advisor at 0% advisory fees
AI-Powered Stock Market Analyst with Global Coverage2024 · decodeinvesting.com · ▲51We’re thrilled to announce the launch of our AI-powered stock market analyst chatbot, designed to help you analyze stocks and gain valuable market insights with ease. Our intuitive conversational chat interface makes it simple for anyone to get started. Why You’ll Love It: Our AI Analyst uses a long-term value-growth investing strategy, similar to those employed by legendary investors like Warren Buffett, Mohnish Pabrai, Phil Town and Charlie Munger. It’s built to provide you with thorough, data-driven analysis to help you make informed investment decisions. Key Features: - Comprehensive…
I built an AI agent that helps me invest2025 · github.com · ▲32A while back, I built a simple app to track stocks. It pulled market data and generated daily reports based on my risk tolerance. Basically a personal investment assistant. It worked well enough that I kept going. Now, the same framework helps me with real estate: comparing neighborhoods, checking flood risk, weather patterns, school zones, old vs. new builds, etc. It’s a messy, multi-variable decision—which turns out to be a great use case for AI agents. Instead of ChatGPT or Grok 4, I use mcp-agent, which lets me build a persistent, multi-agent system that pulls live data, remembers my…
Decode Investing2025 · agents.decodeinvesting.com · ▲7A big part of the workflow of investors in individual stocks is doing research and due diligence on companies. Without proper and thorough due diligence an investor may be flying blind in their investment decisions. Due diligence is so time consuming and tedious, many investors don't do it. Doing due diligence involves reading a lot of documents (10Ks, 10Qs, 8Ks, earnings call transcripts, etc.) and analyzing years of financial statements. You also need to research key executives - their biographies, compensation, tenure, etc. Analyzing this amount of information leaves room for missing key…
Framework for building multi-agent equity research agentsFeb 2026 · github.com · ▲6I built Hermes, an open-source Python framework for multi-agent financial research. Most AI “equity research” demos stop at generating text. In practice, real workflows require pulling structured XBRL financials from SEC filings, extracting labeled sections like MD&A and Risk Factors, merging macro and market data, building actual Excel models with formulas, and generating investment memos in Word or PDF. Hermes is designed to handle that full pipeline end to end. It includes 35 financial data tools covering SEC EDGAR (via edgartools), FRED, Yahoo Finance market data, and RSS-based financial…
More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 21d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 29d ago · world.pixverse.video

Source: Product Hunt launch ↗
Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai



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…
Life & fun · May 2026 · github.com

🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
Dev tools · May 2026 · github.com