nowfound

Growth · August 9, 2023

Digital Product Ideas for Beginners

Ditch excuses. Build products

Digital Product Ideas for Beginners launched on August 9, 2023 with 1 votes. The site was still online in September 2026, 3 years on.

What it does

Proven digital product ideas, step-by-step instructions, templates, tools, and marketing tips to create your own product and generate income fast.

You have an idea for something you want to build.It might be: a simple digital product a SaaS tool an app a marketplace or a small business powered by software or AI At first, building feels exciting. Then you get stuck.You rethink the idea.Add features.Save more notes.Tell yourself you’ll “finish it properly later.”Nothing ships.Launch at Zero is a system that helps you finish.What this actually

Does a similar job

all alternatives →

More growth this month

the category →
  • wallhop is a free paywall bypass. Paste any article link to read it without paywall popups, ads or clutter. No signup, no extension. A simple 12ft.io alternative.

    Growth · 13d ago · wallhop.io

  • Prefer▲201

    The execution layer for AEO

    Growth · 24d ago · tryprefer.com

  • MakerMap▲197

    A living map of makers and what they’re building

    Growth · 28d ago · makermap.lol

Source: Product Hunt launch ↗

Launched alongside, August 2023

the whole month →
  • Resend▲1,325

    An entire collection of pre-built components with a much faster development experience.

    Dev tools · 2023 · resend.com

  • STORI AI▲1,316

    Your ideas become visually compelling branded social posts

    AI · 2023 · storiai.com

  • Kombai▲1,079

    A new AI model that you can prompt with UI designs

    AI · 2023 · kombai.com

  • Understand your audience without 50 interviews

    AI · 2023 · founderpal.ai

  • Lottielab▲869

    Create and ship lottie animations to sites and apps faster

    Dev tools · 2023 · lottielab.com

  • Outlines is a Python library that focuses on text generation with large language models. Brandon and I are not LLM experts and started the project a few months ago because we wanted to understand better how the generation process works. Our original background is probabilistic, relational and symbolic programming. Recently we came up with a fast way to generate text that matches a regex (https://blog.normalcomputing.ai/posts/2023-07-27-regex-guide...). The basic idea is simple: regular expressions have an equivalent Deterministic-Finite Automaton (DFA) representation. We…

    AI · 2023 · github.com