Alternatives
Products that do what PLAUSITY does
AI-native due diligence for deal teams
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Queryable company knowledge base + Closed-loop AI employees
May 2026 · donely.ai
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2025 · temporal.io
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Hi hacker news, We’re a former PM and software engineer from Robinhood who decide to start an investment bank for startups. In 2023, we had just shut down our previous YC-backed startup Psychic (https://news.ycombinator.com/item?id=36032081). We were one of many startups building generative AI infrastructure long before it had become apparent what the applications were going to be, and it turns out the bet we made was wrong. This might sound familiar to anyone who’s been through the web3 hype cycle, but it was a big learning for us. Around the same time, we noticed a lot of…
2024 · godealwise.com
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Product Market Fitment, to PRDs, work breakdown & assignment
Jun 2026 · nexusync.io
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Professional-grade stock investing, simplified with AI.
Mar 2026 · accountable.finance
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Hey HN, we built an Econ+Finance database to let AI agents do investment research. We spend a lot of tokens to organize macro releases and SEC filings into a clean format, so that your agents have more context to do actual analysis. The problem AI agents are great at data analysis. But they become ineffective if most of their context window is spent on gathering and cleaning data, instead of validating hypotheses. Data in the wild is messy and rarely standardized. Definitions and measurements change over time. This problem is compounded by a fragmented data universe. Point solutions exist…
Jul 2026 · github.com
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AI writes and posts your content. You approve it in one tap.
May 2026 · acquisync.agency
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I 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…
Feb 2026 · github.com
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I built Duebase AI to solve a problem I kept running into in fintech - analyzing UK company financial health takes forever. The process usually goes: download PDFs from Companies House → manually extract data to spreadsheets → calculate ratios → interpret trends. Takes 3-4 hours per company and requires serious financial expertise. The technical challenge: Companies House filings are messy. Inconsistent formats, complex accounting structures, missing data, and you need to understand UK accounting standards to make sense of it all. My approach: Parse 15M+ UK company records from Companies…
2025 · duebase.com
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Most mortgage processing delays aren’t due to risk — they’re due to manual workflows. We’ve been working on SimplAI, an AI-driven system designed for banking and financial services, starting with mortgage operations. The problem we kept seeing: 15–22 day processing timelines Heavy manual document handling (500+ pages per loan) Repetitive data entry + verification loops Underwriters spending hours on non-decision work So we built a set of AI agents that handle the operational layer: Document AI (IDP) → classifies + extracts data from loan docs in minutes Income analysis models → parse tax…
Mar 2026 · app.simplai.ai
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