nowfound

Growth · May 5, 2026

Qenabler

AI-powered quality enablement platform for engineering teams

What it does

QEnabler is an AI-driven quality enablement platform built for engineering teams who want to shift quality left — before bugs reach production. Unlike traditional QA tools, QEnabler tracks quality maturity in one place. It turns quality from a bottleneck into a growth driver. Built by a QA engineering leader with 15+ years of experience, QEnabler gives teams actionable insights to move faster, ship confidently, and continuously improve.

Does a similar job

all alternatives →
  • Octomind QA Agent2024 · ▲594

    AI-powered end-to-end testing

  • QA.tech 1.0Oct 2025 · ▲413

    Stop breaking prod, build & test with a fleet of QA agents

  • Qoder2025 · qoder.com · ▲671

    Qoder is an agentic IDE for real software development.

  • PieSep 2025 · ▲276

    The first AI QA team. Ship with confidence.

  • QualGentDec 2025 · ▲296

    Test apps in a click with AI QA agents that scale like infra

  • ScorecardOct 2025 · ▲391

    Evaluate, Optimize, and Ship AI Agents

More growth this month

the category →
  • Browzer426

    Put your technical content on autopilot

    Growth · 14d ago · trybrowzer.com

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

    Growth · 30d 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