nowfound

Growth · May 19, 2026

AnalityQa

The AI data analyst that runs real SQL, not guesses.

What it does

AnalityQa is an AI data analyst for non-technical teams — founders, ops, growth, and finance leads who need real answers fast Drop a CSV or connect Postgres, MySQL, Google Sheets, or Excel. Ask any question in plain English. Every chart runs real SQL on your actual dataClick any number to see the exact query behind it. Build live dashboards, iterate by adding panels with words, apply instant filters, or run multi-step investigations that surface anomalies and root causes.

Does the same job

all alternatives →
  • AskEdith2022 · ▲289

    Never write SQL from scratch again

  • ShapedQLJan 2026 · ▲211

    The SQL engine for search, feeds, and AI agents

  • NBI.AI2025 · ▲191

    The AI Data Analyst

  • Metabase Data StudioMar 2026 · ▲153

    Build the semantic layer that makes AI analytics trustworthy

  • Quanty2024 · ▲104

    AI powered market analysis platform with GraphQL API

  • ChartFast2024 · ▲129

    Get your own AI data analyst to do your data work

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