nowfound

Growth · May 25, 2026

Sophyx

Make your brand visible to humans and AI agents.

What it does

Sophyx is different because it closes the full visibility loop. It learns your brand from your website, socials, and uploaded files, then finds where you are missing or misunderstood across AI search, Google, Reddit, X, and LinkedIn. Instead of only giving insights, Sophyx turns gaps into ready-to-approve blogs, FAQs, landing pages, and social posts. It is an AI visibility system that analyzes, creates, publishes, and learns from your feedback on autopilot.

Does the same job

all alternatives →
  • Scribble NetworkJul 2026 · scribble.network · ▲388

    The product that makes AI recommend your brand

  • OmniaFeb 2026 · ▲357

    Become the brand AI recommends

  • Dageno AIApr 2026 · dageno.ai · ▲235

    Become the most recommended brand across 7+ major LLMs

  • OptimizeGEO.aiMay 2026 · optimizegeo.ai · ▲116

    Agentic GEO platform for AI search visibility

  • AI Visibility Rank Tracker2025 · ▲153

    Track brand visibility in AI search results

  • AnsvisorMay 2026 · ansvisor.com · ▲68

    Scale your brand visibility across AI answer engines

More growth this month

the category →
  • Browzer427

    Put your technical content on autopilot

    Growth · 14d ago · trybrowzer.com

  • ​​A pixel-art solar system at its real current positions.​

    Growth · 29d ago · astrapixels.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