The Builder
“Name the primitive.”
Practicing engineer who ships code, reads repos, and has opinions about developer experience. Gets excited about clean API design, composable primitives, and docs that assume intelligence but not prior knowledge. Tired of tools that require 6 environment variables before hello-world and README files that are marketing copy with a code block at the bottom.
Gets excited about
- +Clean APIs where the right thing is the easy thing
- +Composable primitives over wholesale platforms
- +Performance from thinking, not hardware
Tired of
- -Landing pages that don't say what the thing does
- -"AI-powered" as a feature, not an implementation detail
- -Frameworks that wrap three API calls and call themselves a platform
Finance verdicts(15 tools, 15 shipped)
Automated LLM stock dashboards via GitHub Actions, zero infra needed
“Using GitHub Actions as a cron-based LLM pipeline is genuinely clever — no server, no containers, no maintenance. Fork, add secrets, enable Actions, done. The multi-LLM backend support means you can run the whole thing on DeepSeek for almost nothing.”
Seven LLM agents simulate a real trading firm — and beat the market
“LangGraph + multi-provider support means I can swap in my preferred LLM and tune cost vs. capability per agent role. The adversarial bull/bear debate structure is genuinely clever architecture — it's not just 'ask ChatGPT to trade,' it's a real deliberation system. Open source is the only acceptable license for anything touching my money.”
The first open-source foundation model for financial candlestick data
“The domain-specific tokenizer for OHLCV data is the key insight — it's not just a time-series transformer, it actually understands the structure of candlestick patterns. The Hugging Face Hub distribution and clean predictor API make it a practical drop-in for quant research pipelines.”
Open-source Bloomberg-style terminal with built-in AI analytics
“The dev experience is surprisingly polished for an open-source finance tool — clean Python package, good documentation, and the AI query layer actually understands financial terminology. Being able to bolt on custom data sources via the API means you're not locked into whatever providers they've pre-integrated.”
Open-source Bloomberg terminal with 37 built-in AI finance agents
“If you've been paying Bloomberg's $24k/year terminal fees and doing half your analysis in ChatGPT anyway, FinceptTerminal is a no-brainer starting point. The C++20 native performance means real-time data actually feels real-time. The Quant Lab alone is worth the setup cost.”
Open-source financial research agent that runs code instead of eating your context window
“The PTC architecture is the right call — injecting raw financial time series into a context window was always the wrong abstraction. Persistent workspaces mean research actually accumulates instead of resetting each session. The 23 pre-built skills cover 80% of what a junior analyst does daily. Fork-worthy even if you don't use it as-is.”
13 AI investor personas — Buffett, Wood, Burry — debate your stock picks
“The multi-LLM support is the right call — you can run the same analysis through GPT-4o and DeepSeek and see where they diverge. As a framework for experimenting with multi-agent financial reasoning, this is surprisingly well-architected. The modular agent design makes it easy to add your own investor personas or plug in alternative data sources.”
19 AI agents debate stocks as Warren Buffett, Cathie Wood, Michael Burry and more
“The 19-agent architecture is a genuinely interesting template for any multi-perspective reasoning problem, not just finance. Swappable LLM backends (Anthropic, OpenAI, Ollama) and clean Python codebase make it easy to study and fork. If you're building financial research tooling, this is your best open-source starting point by far.”
A team of AI agents that debates, researches, and trades stocks
“The multi-agent debate pattern here is genuinely useful as a reference architecture for any high-stakes decision system — not just finance. The code is clean, well-documented, and adaptable. 50k stars doesn't lie.”
AI-powered corporate card and spend management
“API for programmatic card creation and expense management. The accounting integrations are well-built.”
Banking for startups
“API for programmatic banking operations, automated accounting exports, and the dashboard is beautifully designed.”
AI-powered spend management for growing companies
“API and integrations are solid. Programmatic card creation for SaaS subscriptions is useful.”
Financial data connectivity platform
“The standard for bank account connectivity. Plaid Link drop-in UI handles the complexity of bank auth.”
Complete payments infrastructure for SaaS
“Merchant of record handles global tax compliance. The checkout and subscription APIs are clean.”
International money transfers and multi-currency accounts
“API for programmatic international transfers is well-designed. Multi-currency accounts simplify international business.”
Browse the full panel
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