Signals lens

Code Review signals

Name: Code Review signals
Creator: PeerPush
License: https://peerpush.com/terms

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

Browse all Code Review products

Search demand

How often on-site searches surfaced Code Review products in the top results.

50+ people's searches surfaced Code Review products this week

+6%in distinct searchers vs last week

New-entrant attention

How much discovery attention fresh launches are winning in Code Review. Last 7 days.

10.9% of Code Review discovery attention goes to newcomers

Fresh launches make up 1.8% of the products winning discovery attention in the last 7 days.

New-entrant momentum

Whether fresh products are joining Code Review faster than the week before.

New entrants are accelerating in Code Review

+50%

Switcher pressure

How much alternative-shopping demand is flowing toward what Code Review 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 Code Review products - which audiences this space serves most.

Active conversation in this space

Distinct people reviewing and discussing Code Review products. Last 7 days.

people actively reviewing and discussing

Pricing mix

How Code Review products are priced. Helps buyers know what to expect.

Freemium43.5%
Free34.1%
Subscription15.3%
Paid4.7%
One-time2.4%

Platform availability

Where Code Review products are available - Web, Mobile, CLI, MCP, etc.

Market concentration

How concentrated discovery attention is across Code Review products. Last 7 days.

43 / 100

consolidating

FragmentedConsolidated

Code Review is consolidating - a handful of products are capturing a growing slice of attention.

Herfindahl index: 110.1 / 10,000

AI engines discovering Code Review

Top 5

The AI engines most active on Code Review products, led by Meta AI. Last 7 days.

Meta AI
66.7% share
Claude
16% share
ByteDance
8.5% share
Perplexity
2.8% share
ClaudeBot
2.5% share

Device mix

How Code Review gets discovered: desktop vs mobile. Last 7 days.

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

Rising categories

Top 3

The categories gaining AI attention among Code Review products this week.

Rising audiences

Top 3

The audiences gaining AI attention among Code Review products this week.

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 Code Review 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 Code Review; visitor-derived numbers are published only when distinct-visitor counts clear the k-anonymity floor.

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

Yes. The Code Review 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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