GoalIQ

What it does

GoalIQ is a high-precision sports intelligence terminal for the analytical investor. We transform football markets into institutional-grade opportunities by applying data science to the BTTS market. Our autonomous engine scans massive datasets using regression-to-the-mean models and AI validation to identify real "Edge". No parlays or gut feelings, just top-tier analytical signals, dynamic staking, and radical transparency via a cyber-analytical interface. Stop betting; start investing.

• 
  OpenBB Terminal2024 · ▲602

  Make smarter investment decisions with AI-driven research

• 
  Finalle.ai2023 · ▲93

  Generate trading signals from social media using GPT

• 
  ScoreGenius2025 · ▲52

  World’s most accurate football betting prediction tool

• 
  UniverseIQ11d ago · universeiq.app · ▲1

  AI-powered market research, simplified

• 
  SharpLineJun 2026 · sharpline.base44.app · ▲3

  AI powered sports betting analysis - an edge, not guesses

• FA
  FactIQ – a realtime econ+finance database for AI agentsJul 2026 · github.com · ▲7

  Hey HN, we built an Econ+Finance database to let AI agents do investment research. We spend a lot of tokens to organize macro releases and SEC filings into a clean format, so that your agents have more context to do actual analysis. The problem AI agents are great at data analysis. But they become ineffective if most of their context window is spent on gathering and cleaning data, instead of validating hypotheses. Data in the wild is messy and rarely standardized. Definitions and measurements change over time. This problem is compounded by a fragmented data universe. Point solutions exist…

• 
  PaymentKit▲466

  Billing that survives a processor shutdown

  Commerce · 13d ago · paymentkit.com

• 
  Equitybee Benchmark▲241

  Compare your startup equity grant for free.

  Commerce · 26d ago · equitybee.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