RWA Inc
RWA Inc is a comprehensive blockchain infrastructure stack
RWA Inc launched on May 6, 2026 with 1 votes.
What it does
RWA Inc is a comprehensive blockchain infrastructure stack built for professional investors and asset managers to issue, distribute, and manage tokenized real-world assets. The platform covers onboarding, KYC/AML compliance, tokenization, fractional ownership, marketplace distribution, and investor reporting — all in one integrated stack.
RWA Inc is the leading AI-powered platform for tokenizing, launching, and investing in Real World Assets. Access institutional capital and a tiered investor ecosystem.
RWA Inc is a comprehensive blockchain infrastructure stack built for professional investors and asset managers to issue, distribute, and manage tokenized real-world assets. From frictionless onboarding to distribution, everything is wired for compliance, transparency and execution. KYC, AML and legal structuring handled through our curated network of partners and regulators. Create compliant tokens for your assets with audited smart contract templates and clear rights. Access our marketplace, partner network and distribution channels to reach global investors. Use our investor portal for ongoing updates, KPIs and governance in one secure interface. Modular components for tokenization,…from rwa.inc
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RWA Tokenization DevelopmentJun 2026 · touchcrypto.org · ▲3Transform Real Assets into Digital Opportunities
Real World Asset Tokenization PlatformJun 2026 · addustechnologies.com · ▲2Custom RWA Tokenization Solutions for Business Growth
Trusted Smart ChainApr 2026 · trustedsmartchain.com · ▲2Compliant Layer 1 blockchain built for RWA tokenization



Source: Product Hunt launch ↗
Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai



Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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