New Site Radar vs BetaList

Disclosure: we build New Site Radar. Everything below about BetaList comes from its public pages as we read them on October 3, 2026 (sources at the bottom). Products change; if something here is out of date, email hello@newsiteradar.com and we will fix it.

BetaList is where early adopters discover pre-launch and recently launched startups, featured after an editorial review. New Site Radar has a narrower job: monthly rankings of AI tool websites registered in 2025 or later that are gaining traffic.

Side by side

What it tracks: New Site Radar: AI tool sites registered in 2025 or later that are gaining traffic; BetaList: Pre-launch and recently launched startups of every kind, featured after an editorial review of paid submissions
Interface language: New Site Radar: English, Spanish, Simplified Chinese; BetaList: English (other languages not checked)
Paid plan: New Site Radar: Pro $19/month or $149/year; BetaList: Paid options are for makers and advertisers: Boost $99/week or $199/month, Sponsorship $4,999/month; startup submissions are also paid
Free plan: New Site Radar: 20-site monthly sample of the rankings, every site page, watchlist of 10 sites; BetaList: Browsing featured startups by category, and a daily email digest of the newest startups
Second-source check of traffic numbers: New Site Radar: Yes: traffic is compared with a second, independent source (search-traffic estimates, or Tranco rank for brand-driven sites); sites only one source covers are labelled; BetaList: Not described on the pages we checked
Revenue view: New Site Radar: Detected payment provider and real pricing, with a modelled revenue range and its confidence; BetaList: Not described on the pages we checked
API / MCP: New Site Radar: Remote MCP server with 7 read-only tools (listing free, calls on Pro); BetaList: API access granted case by case, on request through the contact form

	New Site Radar	BetaList
What it tracks	AI tool sites registered in 2025 or later that are gaining traffic	Pre-launch and recently launched startups of every kind, featured after an editorial review of paid submissions
Interface language	English, Spanish, Simplified Chinese	English (other languages not checked)
Paid plan	Pro $19/month or $149/year	Paid options are for makers and advertisers: Boost $99/week or $199/month, Sponsorship $4,999/month; startup submissions are also paid
Free plan	20-site monthly sample of the rankings, every site page, watchlist of 10 sites	Browsing featured startups by category, and a daily email digest of the newest startups
Second-source check of traffic numbers	Yes: traffic is compared with a second, independent source (search-traffic estimates, or Tranco rank for brand-driven sites); sites only one source covers are labelled	Not described on the pages we checked
Revenue view	Detected payment provider and real pricing, with a modelled revenue range and its confidence	Not described on the pages we checked
API / MCP	Remote MCP server with 7 read-only tools (listing free, calls on Pro)	API access granted case by case, on request through the contact form

When BetaList is the better fit

You want to find pre-launch and recently launched startups of any kind and get early access to them.
You are a founder looking for early adopters and feedback, with a do-follow backlink if your startup is featured.

When New Site Radar is the better fit

You want AI tool sites that launched recently and are starting to grow, before they are well known.
You want to know how far to trust each number: every figure is checked against a second source where one exists, and the evidence is on the site page (see the methodology).
You want to query the data from Claude Code, Cursor or Codex over MCP.

Try it: the growth rankings have a free monthly sample, and Pro shows the full board.

Sources

BetaList FAQ page: https://betalist.com/faq (checked October 3, 2026)
BetaList home page: https://betalist.com/ (checked October 3, 2026)
BetaList advertising page: https://betalist.com/advertise (checked October 3, 2026)
New Site Radar: pricing, methodology