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Bull.sh: Financial Modeling Agent CLI

Details

External ID
46517126
Source
HN
Company
—
Product
Bull.sh: Financial Modeling Agent CLI
Website domain
github.com
Launched
Jan. 6, 2026
Cohort
—
Upvotes
7
Upvotes percentile
0.3544137022397892
Tags
—
Fetched at
Sept. 7, 2026, 9:25 p.m.
Updated at
Sept. 7, 2026, 9:25 p.m.

Description

Built a free open source agentic CLI tool for financial modeling & analysis. Hadn't played around with real equity valuation modeling for awhile and wanted to build tooling to get myself back into the game.Bull.sh lets you query & store 10-Qs, 10-K in a local vector store to chat with them, build investment thesis from scratch or build full framework models through the CLI to export into excel.It's open source, just requires your own Anthropic API key and (optionally) AlphaVantage Free API key if you want save some tokens from scraping. Feel free to play around with it.Some ideas I have for features (amongst improvements to the existing orchestration & valuation frameworks):1. Bull vs. Bear Agent DebateSpawn two adversarial agents: one argues the bull case, one argues the bear case. They critique each other's assumptions, then a moderator agent synthesizes a balanced thesis. Surface the strongest counterarguments automatically.2. Earnings Call AnalyzerAuto-fetch earnings call transcripts (or transcribe audio), detect management tone shifts vs. prior quarters, extract forward guidance, flag hedging language ("we believe", "challenging environment"). Compare CEO sentiment to online & social sentiment.3. Supply Chain Knowledge GraphParse 10-K supplier/customer disclosures + news to build a graph of company relationships. Visualize dependencies, detect concentration risk, propagate shocks ("if TSMC goes down, who's exposed?"). Use Neo4j or networkx.4. Real-time 8-K Alert SystemMonitor SEC EDGAR for new 8-K filings, classify by materiality (executive departure, M&A, guidance change), push alerts via webhook/Slack/email. Let users set watchlists and filter by event type.5. Thesis BacktesterSave thesis snapshots with timestamps. When the stock moves ±20%, resurface the original thesis and score which predictions were right/wrong. Build a track record dashboard showing analyst accuracy over time.

Enrichment

Theme
algorithmic trading bots and platforms
Vertical
Fintech
Function
Agent / copilot
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
financial modeling agent cli
Manually corrected
False

Could you build this?

Yes It is a Python CLI agent using standard SEC EDGAR API downloads, an embedded vector store (like Chroma/FAISS), and LLM prompting for financial analysis.

Discussion

No comments on this launch.

Competitors

Other products that read as similar to this one — 179 launches clear the similarity bar, closest 8 shown.

Attention rank: #108 of 180 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 61 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a agent / copilot tool for Agriculture yet.