Open Source signals

Name: Open Source signals
Creator: PeerPush
License: https://peerpush.com/terms

Search demand

How often on-site searches surfaced Open Source products in the top results.

10+ people's searches surfaced Open Source products this week

New-entrant attention

How much discovery attention fresh launches are winning in Open Source. Last 7 days.

13.6% of Open Source discovery attention goes to newcomers

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

New-entrant momentum

Whether fresh products are joining Open Source faster than the week before.

New entrants are accelerating in Open Source

+25%

Switcher pressure

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

Heavy

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

Who this serves

The audience mix across Open Source products - which audiences this space serves most.

Pricing mix

How Open Source products are priced. Helps buyers know what to expect.

Free75.7%
Freemium15.7%
Paid4.3%
Subscription4.3%

Platform availability

Where Open Source products are available - Web, Mobile, CLI, MCP, etc.

Market concentration

How concentrated discovery attention is across Open Source products. Last 7 days.

42 / 100

consolidating

FragmentedConsolidated

Open Source is consolidating - a handful of products are capturing a growing slice of attention.

Herfindahl index: 188 / 10,000

AI engines discovering Open Source

Top 5

The AI engines most active on Open Source products, led by ByteDance. Last 7 days.

ByteDance
36.8% share
Meta AI
22.8% share
ChatGPT
14% share
Parallel Crawler
8.8% share
Perplexity
8.8% share

Device mix

How Open Source gets discovered: desktop vs mobile. Last 7 days.

Desktop91.3%
Laptops and desktops
Mobile8.7%
Phones and tablets

Rising use cases

Top 1

The use cases gaining AI attention among Open Source products this week.

Code Development
21.3% of 7-day AI traffic+27%

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

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

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