nowfound

Growth · May 17, 2026

Pipestudy

Spin up a learning pipeline for anything you want to learn

What it does

Your AI study partner — generate a curriculum for anything you want to learn.

Does the same job

all alternatives →
  • studymap.ai2024 · ▲158

    Learn any skill with the power of AI

  • CoursekitMar 2026 · ▲257

    Turn your course into a full suite of embeddable AI agents

  • Repeto.ai2024 · ▲232

    Learn anything faster with AI by your side

  • YouLearn2023 · ▲117

    The AI tutor for learning on YouTube

  • Teach Anything2023 · ▲89

    Teach you anything in seconds

  • AY
    A YouTube videos course generator2024 · coursely.ai · ▲56

    An exciting aspect of what I'm working on is that users can create their own playlists. For example, you can provide an outline of what you're learning, such as notes from your professor or any other structure, and the pipeline will create a course tailored to that. Since the content is highly customized, it will be relevant and high-quality, matching current lessons or lectures in school or university. Initially, the pipeline also generated some teaching content using AI, but due to the risk of AI hallucinations, I'm planning to pivot away from that. The new focus will be on curating…

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