We Scored 500 App Ideas with AI. Here's What Actually Works

We ran 500 app ideas through Goodspeed's AI scoring pipeline over the past three months. Every idea got evaluated on market demand, monetization potential, competition density, technical feasibility, and solo-builder viability.

The results surprised us.

## The scoring breakdown

Out of 500 ideas scored, the distribution looked like this:

- **Score 80+:** 12 ideas (2.4%) - **Score 60-79:** 87 ideas (17.4%) - **Score 40-59:** 234 ideas (46.8%) - **Score below 40:** 167 ideas (33.4%)

Most ideas land in the mediocre middle. That tracks with what experienced builders already know: most ideas sound good on paper but fall apart under scrutiny.

The top 2.4% shared specific traits. Not what you'd expect.

## What high-scoring ideas have in common

The top-scoring ideas weren't in trendy categories. They weren't AI wrappers or social media clones. They shared three patterns:

**1. Clear willingness to pay.** The target users already spend money solving this problem, usually with clunky tools or manual processes. If nobody pays for the current solution, they won't pay for yours either.

**2. Thin competition with obvious gaps.** Not zero competition. A handful of competitors who all miss the same thing. Zero competition usually means zero demand. A few competitors with poor reviews? That's the sweet spot.

**3. Solo-buildable scope.** The idea can ship as a focused product without a team of ten. Feature lists under 15 core items scored higher because they're actually finishable.

## The categories that surprised us

**Winners: Niche productivity tools.** Not another to-do app. Specific productivity tools for specific professionals. Think: a time tracker built for freelance illustrators, or a client portal for dog trainers. Narrow audience, high willingness to pay, low competition.

**Winners: Health tracking for specific conditions.** General fitness apps are oversaturated. But tracking tools for specific health conditions (PCOS symptom tracking, migraine pattern analysis, chronic pain journaling) scored consistently high. The audiences are passionate and underserved.

**Losers: Social media alternatives.** Every other idea submission was "like Twitter but for X." Nearly all scored below 40. The network effect problem makes these almost impossible for solo builders.

**Losers: AI chatbot wrappers.** Building a thin layer over ChatGPT or Claude and calling it a product. These scored terribly on competition (thousands exist) and monetization (users can use the underlying tool directly).

## The monetization trap

Ideas where users "might" pay scored 40% lower than ideas where users "already" pay for something similar. The gap is massive.

Here's the test: can you find people paying $10+/month for a worse version of what you want to build? If yes, you're in good shape. If you have to convince people the problem exists before you can sell the solution, your idea probably isn't ready.

## What we learned about our own scoring

Our rubric isn't perfect. We noticed a few biases:

The pipeline initially underweighted ideas in emerging categories where competition data is sparse. We adjusted by adding trend momentum signals from Google Trends and ProductHunt.

It also overweighted technical feasibility for ideas that need hardware integration (IoT, Bluetooth devices). Fair enough, but some of those ideas have the highest margins. We're refining that dimension.

## Try it yourself

Every idea in our library is viewable for free. You can browse scores, see the breakdown across all five dimensions, and submit your own ideas for scoring.

The best ideas don't stay hidden long. Builders who move fast on high-scoring ideas have a real advantage.

[Browse the ideas library](/ideas) or [submit your own idea](/signup).