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Promotional post about Horizon, an AI-driven trading strategy platform that lets users backtest and deploy strategies in plain English, citing a professor managing $200M with AI agents and returning 56% last year.
A developer shares a postmortem of building a Hindi-English voice agent for fintech, highlighting challenges with number readback, code-mixed TTS, latency under load, and compliance. Key fix was choosing TTS with first-class support for Indian code-mixing and testing at real concurrency.
Presents an emerging retail portfolio management application that uses personalized, tax-aware reinforcement learning with natural language goal input, featuring a three-phase pipeline and integration with live brokerage APIs.
After Wise opens a US account, it comes with an ACH checking account. After linking Schwab, deposits and withdrawals are zero-cost with no fees. The user reminds everyone to protect their Wise account, and shares experience of keeping the account active with small transfers.
Introduces the open-source multi-agent simulation framework MiroFish, developed by undergraduate Guo Hanjiang in ten days while still in school. It gained 13,000+ GitHub stars and $4 million in funding, and can be used for financial prediction, public opinion testing, etc. The post also promotes an automated trading bot on Polymarket.
X (formerly Twitter) is launching X Money, a payments feature that integrates money transfers into the social network.
An analysis of 396 European fintech companies' public AI claims finds only 36% show evidence of true agents taking real actions in production, while the rest are copilots. It highlights the lack of published incident handling for wrong actions by production agents.
Scalar Field (YC X25) launches its agentic trading desk execution engine, closing the loop from research and backtesting to live trading with support for Robinhood, Public, Alpaca, Hyperliquid, and Polymarket.
Ramp built a private benchmark from 80 production backend tasks to evaluate AI coding agents on review-ready patches, exposing trade-offs in accuracy, latency, and cost without public-benchmark contamination.
Carolina Cloud now pays interest on unused prepaid credits at the full SOFR rate, compounded daily, making idle prepaid balances grow until spent.
X Money launches for US Premium subscribers but faces significant limitations, including missing licenses in New York and Massachusetts, restricted peer-to-peer payments, and potential account freezes, making widespread adoption uncertain.
Ant International raised approximately $1.2 billion in Series A funding to expand its global payments infrastructure and AI-enabled commerce solutions for cross-border trade, with participation from Ant Group and Alibaba Group.
A developer shares lessons learned when making an AI that analyzes trading charts give consistent answers. The fix involves setting temperature to 0 and using a fixed seed across all pipeline stages, and emphasizes that determinism is a trust feature that must be paired with grounding against ground truth.
CNBC and Statista released their annual list of the world's top 40 fintech companies for 2026, covering 8 subverticals.
Driven is an AI investment agent that guides users from insight to action, launched on Product Hunt.
OpenAI announces the appointment of David Vélez, founder of Nubank, and Robin Vince, CEO of BNY, to the boards of the OpenAI Foundation and OpenAI Group PBC, bringing expertise in technology-driven industry transformation and philanthropy.
Goldman Sachs open-sourced its internal quantitative trading toolkit gs-quant, providing institutional-grade derivatives pricing, risk management, and strategy development tools. It has received 11.3K GitHub stars.
Stripe and Advent International have made a joint offer to acquire PayPal, according to sources.
UniwebPay is positioned as financial infrastructure for the AI era, launched as a new product on Product Hunt.
This paper introduces a hierarchical human-AI triage model for POS fraud detection in Nigerian FinTech, designed to neutralize structural bias that discriminates against rural agents due to infrastructure-related noise. The system uses a calibrated ensemble model, specialist analysts, and senior supervisors to achieve substantive equality of opportunity, reducing the regional performance gap from 19.43 to 2.88 percentage points.