Signals lens

No-Code / Low-Code signals

Name: No-Code / Low-Code signals
Creator: PeerPush
License: https://peerpush.com/terms

How AI assistants, crawlers, and humans are discovering products in the No-Code / Low-Code category on PeerPush. Updated daily.

Browse all No-Code / Low-Code products

Search demand

How often on-site searches surfaced No-Code / Low-Code products in the top results.

100+ people's searches surfaced No-Code / Low-Code products this week

+4%in distinct searchers vs last week

New-entrant attention

How much discovery attention fresh launches are winning in No-Code / Low-Code. Last 7 days.

2.6% of No-Code / Low-Code discovery attention goes to newcomers

Fresh launches make up 1.2% of the products winning discovery attention in the last 7 days.

New-entrant momentum

Whether fresh products are joining No-Code / Low-Code faster than the week before.

New entrants are accelerating in No-Code / Low-Code

+80%

Switcher pressure

How much alternative-shopping demand is flowing toward what No-Code / Low-Code products challenge. Last 7 days.

Heavy

Heavy alternative-shopping demand - many people are actively researching incumbents here.

Who this serves

The audience mix across No-Code / Low-Code products - which audiences this space serves most.

Active conversation in this space

Distinct people reviewing and discussing No-Code / Low-Code products. Last 7 days.

people actively reviewing and discussing

+50%

Pricing mix

How No-Code / Low-Code products are priced. Helps buyers know what to expect.

Freemium47.5%
Subscription24.8%
Free16.3%
Paid7.9%
One-time3.5%

Platform availability

Where No-Code / Low-Code products are available - Web, Mobile, CLI, MCP, etc.

Market concentration

How concentrated discovery attention is across No-Code / Low-Code products. Last 7 days.

11 / 100

highly fragmented

FragmentedConsolidated

Attention in No-Code / Low-Code is spread thin across many products - no clear leader.

Herfindahl index: 15.8 / 10,000

AI engines discovering No-Code / Low-Code

Top 5

The AI engines most active on No-Code / Low-Code products, led by ByteDance. Last 7 days.

ByteDance
41.8% share
Meta AI
19.7% share
ChatGPT
17.8% share
OpenAI Search
10.1% share
Perplexity
3.4% share

Device mix

How No-Code / Low-Code gets discovered: desktop vs mobile. Last 7 days.

Desktop93.5%
Laptops and desktops
Mobile6.5%
Phones and tablets

Rising use cases

Top 3

The use cases gaining AI attention among No-Code / Low-Code products this week.

Rising audiences

Top 3

The audiences gaining AI attention among No-Code / Low-Code products this week.

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

Explore signals by lens

Slice AI activity by what products do, who they serve, where they run, and which AI is surfacing them.

Use cases

What people keep asking AI to find products for.

Browse all use cases

Audiences

Who the most-surfaced products are built for.

Browse all audiences

Platforms

Where products ship - web, mobile, CLI, MCP.

Frequently asked questions

It shows how AI assistants, crawlers, and humans are discovering products in No-Code / Low-Code 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 No-Code / Low-Code; visitor-derived numbers are published only when distinct-visitor counts clear the k-anonymity floor.

The No-Code / Low-Code signals refresh on a rolling schedule, with short windows recomputed every few minutes and longer windows on slower cycles.

Yes. The No-Code / Low-Code 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.