Signals lens

App Development signals

Name: App Development signals
Creator: PeerPush
License: https://peerpush.com/terms

How AI assistants, crawlers, and humans are discovering products built for the App Development use case on PeerPush. Updated daily.

Browse all App Development products

Search demand

How often on-site searches surfaced App Development products in the top results.

10+ people's searches surfaced App Development products this week

New-entrant attention

How much discovery attention fresh launches are winning in App Development. Last 7 days.

65.4% of App Development discovery attention goes to newcomers

Fresh launches make up 40.7% of the products winning discovery attention in the last 7 days.

New-entrant momentum

Whether fresh products are joining App Development faster than the week before.

New entrants are accelerating in App Development

+38%

Switcher pressure

How much alternative-shopping demand is flowing toward what App Development products challenge. Last 7 days.

Moderate

A steady stream of people are weighing the incumbents this space goes up against.

Who this serves

The audience mix across App Development products - which audiences this space serves most.

Active conversation in this space

Distinct people reviewing and discussing App Development products. Last 7 days.

people actively reviewing and discussing

Pricing mix

How App Development products are priced. Helps buyers know what to expect.

Freemium56.5%
Free21.7%
Paid8.7%
Subscription8.7%
One-time4.3%

Platform availability

Where App Development products are available - Web, Mobile, CLI, MCP, etc.

Market concentration

How concentrated discovery attention is across App Development products. Last 7 days.

63 / 100

consolidated

FragmentedConsolidated

App Development is consolidated - a few products command most of the attention.

Herfindahl index: 689.5 / 10,000

AI engines discovering App Development

Top 5

The AI engines most active on App Development products, led by Meta AI. Last 7 days.

Meta AI
47.5% share
ByteDance
18.6% share
Perplexity
13.6% share
OpenAI Search
11.9% share
ChatGPT
8.5% share

Device mix

How App Development gets discovered: desktop vs mobile. Last 7 days.

Desktop90.8%
Laptops and desktops
Mobile9.2%
Phones and tablets

Surface mix

App Development traffic by channel - web, MCP, API, RSS. Last 7 days.

Web91.2%
Direct browsing + search
MCP8.8%
Model Context Protocol calls

Rising audiences

Top 1

The audiences gaining AI attention among App Development products this week.

Founders
63.6% of 7-day AI traffic5×

Explore the whole marketEvery category, audience, platform, and AI engine on one page.

Explore the catalog by lens

Jump into the catalog by what products do, who they serve, and where they run.

Use cases

Browse the products behind the use cases AI is asked about most.

Browse all use cases

Audiences

Browse the products built for the audiences AI surfaces most.

Browse all audiences

Platforms

Browse products by where they run: web, mobile, CLI, MCP.

Frequently asked questions

It shows how AI assistants, crawlers, and humans are discovering products in App Development on PeerPush, including rising challengers and which AI engines are most active in this space.

Momentum is measured by week-over-week growth in detail views, clicks, AI agent results, and new product launches for products in App Development; visitor-derived numbers are published only when distinct-visitor counts clear the k-anonymity floor.

The App Development signals refresh on a rolling schedule, with short windows recomputed every few minutes and longer windows on slower cycles.

Yes. The App Development signals are free to view on the public tier, with deeper history and detail available on Pro.

How we count AI traffic

What “AI Surface Area” combines, how we treat redaction, and why we don't show absolute counts until volume crosses a floor.

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