nowfound

Commerce · May 18, 2026

CryptoXHunter: AI Signals

AI-powered market trend insights for traders

What it does

**CryptoXHunter — AI-Powered Crypto Trading Signals** CryptoXHunter uses advanced artificial intelligence models to generate accurate LONG and SHORT trading signals across 8 major cryptocurrencies. Track market trends, identify potential opportunities, and receive real-time AI-driven insights designed for crypto traders.

Does the same job

all alternatives →
  • Signals2017 · ▲274

    AI powered cryptocurrency trading tool

  • DipSway2023 · ▲117

    AI powered crypto trading bot

  • AnalyzerOct 2025 · ▲17

    Crypto trading analysis on Autopilot

  • CoinCatMay 2026 · play.google.com · ▲2

    AI signals that help you decide—not gamble.

  • MarketDesk AI: Trading SignalsMar 2026 · ▲1

    AI-powered trading signals for Forex, Crypto & Stocks 24/7

  • SignalIQ20d ago · market-signal-intelli.replit.app · ▲2

    AI-powered stock and crypto market intelligence

More commerce this month

the category →
  • Billing that survives a processor shutdown

    Commerce · 13d ago · paymentkit.com

  • Compare your startup equity grant for free.

    Commerce · 26d ago · equitybee.com

Launched alongside, May 2026

the whole month →
  • Brew 905

    Like Claude design for email marketing

    AI · May 2026 · brew.new

  • Parallel agents, diff reviewer, and multi-model comparisons

    Dev tools · May 2026 · kilo.ai

  • StoreClaw805

    Grow your store profits with agents that know how to sell

    AI · May 2026 · storeclaw.ai

  • Give your agent a real number and voice to make calls.

    AI · May 2026 · pollyreach.ai

  • NW

    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…

    Life & fun · May 2026 · github.com

  • FM

    Dev tools · May 2026 · github.com