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Pastel AI buyer-intent outreach, $567K in 30 days
Pastel finds high-intent buyers on social platforms, enriches their contact details, and automates outreach with AI Agents. Its $567K in the last 30 days is verified through the payment provider's API by TrustMRR (Shopify), as of September 30, 2026.
What it actually sells
Pastel is an AI social listening, buyer-intent intelligence, lead enrichment, and outreach platform. It monitors LinkedIn, X, Reddit, and 20+ social networks for buying intent and surfaces those signals in one unified inbox.
How it charges
The pages we read do not state a price. Pastel lists free unlimited email enrichment, free unlimited AI Outreach Sequences, and a free 7-day trial for testing it on a user's own market.
Where customers come from
The visible audience signals cover B2B companies, agencies, founders, and sales teams. Pastel also lists a free 7-day trial, integrations, workflow automation, and coverage across Social Networks, Video & Podcast, Messaging & Community, Reviews & Marketplaces, and Web & Intelligence.
What stands out
Pastel says it scans millions of daily actions across networks to detect buying intent. It scores leads through intent behaviors and repeated signals, then recommends an engagement action aligned with the user's objective.
Pastel enriches leads with verified B2B email addresses and phone numbers, adds them directly to CRM pipelines, and includes unlimited email enrichment and AI outreach sequences. Its integrations support automations, data syncing, and connected systems.
From the official site
Used by fast-growing B2B teams
Pastel scores intent and recommends the highest-impact action right now, aligned to your objective.
Excerpts from the official website, fetched October 1, 2026.
Where it sits in the data
Pastel's $567K in the last 30 days is higher than 100% of the 5,602 projects with payment-verified revenue in our dataset; the median across them is $150. Within the “Sales” category (202 projects) it is higher than 100% (category median $441). Snapshot: 2026-09-02 to 2026-09-30. The dataset only covers founders who chose to publish their numbers, so it leans toward businesses that work; use it for scale, not as an average.
Currency
All figures are in US dollars as published. A rough yuan or euro conversion is not applied here because prices, taxes and acquisition costs differ by country.
Could you build something like this?
In my view, this needs real work. The buyer is a B2B company, agency, founder, or sales team looking for buyer-intent signals. Distribution would have to come from the platforms and communities where those buyers discuss problems and from direct outreach to relevant teams.
Verdict: Hard to replicate.
One thing to take from it
Pastel connects several concrete steps in one workflow: monitoring public discussions, identifying intent, scoring leads, recommending engagement, enriching contact details, sending outreach, and adding leads to a CRM pipeline.
Sources
- Pastel official website, fetched October 1, 2026
- TrustMRR: revenue verified through the payment provider's API by TrustMRR (Shopify), as of September 30, 2026
Revenue, team and start-cost figures are what the founder reported at the interview date, not current figures and not a prediction of what you will earn. Product and pricing facts come from the business's own website as checked on 30 September 2026. Method & sources · Disclosure