Finance & Business3 weeks ago
Delphi
Build AI trading agents from natural language, backtest strategies, and monitor markets automatically.
ariavikram · HN
Delphi – Build your own AI trading agent in seconds
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60 projects
Build AI trading agents from natural language, backtest strategies, and monitor markets automatically.
ariavikram · HN
Delphi – Build your own AI trading agent in seconds
Evidence-backed RFP qualification and traceable compliance matrix for U.S. professional-services firms, consultants, nonprofits, and grant teams.
@DarnleyW96447 · X
Scores AI-generated ad creative and returns verdicts (run/fix/kill) via MCP and REST API.
ds246 · HN
Spendict – a performance marketer's verdict for AI agents, over MCP
Debug and trace multi-agent AI pipelines with time-travel inspection.
suraj_chopade · Product Hunt
SwarmTrace Time-travel debugger for multi-agent AI pipelines
Marketplace for AI agents to hire humans and other agents for real-world tasks.
@djgelner · X
PvP trading battles where AI agents compete for rewards.
@CreatorBid · X
You can make money vibe-coding also on
A DeFi AI agent platform where you discover agents, play ShadowHide to earn rewards, and verify performance on-chain.
@Ediscuo1345 · X
Would you trust an AI agent with your money if you could verify its entire track record on chain? That's what we built. Check it out here 👇 Orion Agents is live. Mainnet is launching soon.
Autonomous Farcaster agent that composes and posts with human approval and onchain attribution.
@afifarioss · X
AI agent layer for Farcaster. Human approves every cast. 🟦 onchain attribution. Now Solo no team. Phase 2+ needs hands.Repo: Live: Need grants / team / funding. MIT. Fork it or fund it. 🟦
Cryptographic authority for anything that performs an action. Derive scoped capabilities from a root you hold, sign actions, verify offline. Free SDK, optional governance.
@baronfud · X
An LLM agent that tracks goals and plans across sessions while showing exactly what it retrieves, verifies, and fails on.
u/OGMYT · Reddit
I built LOLM, a lower-cost LLM agent that shows what it actually did — looking for blunt feedback I’m one of the founders/builders behind LOLM. Most AI products show an answer but hide whether the system retrieved anything useful, verified the result, switched models, hit a limit, or simply stopped. LOLM exposes those parts through controller events and run receipts. It includes: - Live agent - CLI - Coding and small app-building workflows - Memory and self-hosting options - Control decis
Integrate MCP servers to give AI agents reliable, uncapped access to external APIs and data.
@kagelogic · X
Your agent is only as good as the data it can reach. Vibe-coded wrappers die at 2am when the public API rate-limits. Exclusive MCPs keep your app alive with real quotas. sub-10ms edge. Uncapped. Pay-as-you-go. — Free credits, no card →
See what happens before you decide. Model alternatives, expose assumptions, quantify uncertainty and discover exactly what would make your decision wrong.
@ANOVIA_Apex · X
Your gut has an opinion. Your spreadsheet has a forecast. MARK C has 10,000 futures and the exact question that matters: what breaks your decision? Stop guessing. C MARK it.” ⚡