CryptoFlow Data
Terminal cuantitativa de élite. Brindamos indicadores visuales únicos (CVD, OBV, ADL, CMF, ADX, MFI). Un clúster avanzado de 6 nodos HFT procesa más de 500 millones de eventos de mercado diarios mediante Acceso Directo a Mercado (DMA) Tier-1, analizando órdenes tick por tick cada 12ms para proyectar
CryptoFlow Data launched on May 19, 2026 with 2 votes, #6,288 of 20,538 launches that month.
What it does
CryptoFlowData is an institutional quantitative SaaS. We replaced confusing heatmaps with Algorithmic Nodes processing live microstructure tick-by-tick in milliseconds. Our Target Force engine calculates the exact target price the market will collide with against true liquidity walls. Backed by HFT whale tracking, spoofing detection, and live dynamic signals (CVD, OBV, ADL, CMF, ADX, MFI), our terminal lets you stop guessing and trade with a pure mathematical edge.
Terminal cuantitativa de élite. Brindamos indicadores visuales únicos (CVD, OBV, ADL, CMF, ADX, MFI). Un clúster avanzado de 6 nodos HFT procesa más de 500 millones de eventos de mercado diarios mediante Acceso Directo a Mercado (DMA) Tier-1, analizando órdenes tick por tick cada 12ms para proyectar el precio objetivo exacto.
Sincronizando datos del libro de órdenes en vivo tick-por-tick para detectar muros de liquidez... Acceso a herramientas institucionales HFT avanzadas, CVD en vivo, cálculo del precio objetivo a chocar contra muros basado en análisis ticket por ticket en milisegundos, y algoritmos de spoofing por $30/mes tras lafrom cryptoflowdata.com
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wallhop is a free paywall bypass. Paste any article link to read it without paywall popups, ads or clutter. No signup, no extension. A simple 12ft.io alternative.
Growth · 12d ago · wallhop.io


Source: Product Hunt launch ↗
Launched alongside, May 2026
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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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🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
Dev tools · May 2026 · github.com