GaLa-Global Attention Layer Architecture

What it does

GaLa is a live attention marketplace where businesses compete for ranked visibility. GaLa introduces a structured ranking environment where businesses can increase their visibility through participation and boosting mechanisms. Businesses create GaLa Cards and improve their position within category rankings, increasing the likelihood of discovery and engagement. GaLa is designed to make online visibility more structured, measurable, and transparent.

• 
  Telescope 2.02025 · ▲510

  Find exactly who you’re looking for, fast

• 
  Lebesgue2023 · lebesgue.io · ▲738

  Scraping global marketing data to make your marketing work

• 
  Singular Marketing Analytics2020 · ▲87

  Pull marketing spend into a single dashboard. No code.

• 
  Promoted.ai2021 · ▲143

  Search and feed ranking for marketplaces

• 
  PerformLive2021 · ▲125

  Passion meets live commerce

• 
  SeefyNov 2025 · ▲128

  AI event intelligence for real-world revenue pipeline

• 
  Browzer▲426

  Put your technical content on autopilot

  Growth · 14d ago · trybrowzer.com

• 
  AstraPixels▲267

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

  Growth · 30d ago · astrapixels.com

• 
  Brew ▲905

  Like Claude design for email marketing

  AI · May 2026 · brew.new

• 
  Kilo Code for VS Code▲897

  Parallel agents, diff reviewer, and multi-model comparisons

  Dev tools · May 2026 · kilo.ai

• 
  StoreClaw▲805

  Grow your store profits with agents that know how to sell

  AI · May 2026 · storeclaw.ai

• 
  PollyReach▲796

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

  AI · May 2026 · pollyreach.ai

• NW
  Needle: We Distilled Gemini Tool Calling into a 26M Model▲776

  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
  Files.md – Open-source alternative to Obsidian▲730

  Dev tools · May 2026 · github.com