Deal a prospect deck
Enter the kind of company you sell to, and Swipe generates a deck of prospects instead of requiring you to assemble a list manually.
Swipe
Swipe builds prospect lists from your ICP, lets teams review company decks by swiping, and export shortlisted prospects to CSV for outbound work.
Overview
Swipe is a prospect-list builder that lets you describe who you sell to and then review a generated deck of companies by swiping. Instead of starting from a blank spreadsheet, the product turns list building into a fast keep-or-skip workflow.
The homepage emphasizes a simple outbound prep use case: choose the companies worth an email, export the result, and load it into the tool you send from. It also states that Swipe ranks on public signals alone, while Agently uses Slack, calls, and CRM data to improve its ranking over time.
Core capabilities
Fast keep-or-skip review
Review candidates with a swipe-style flow using skip, keep, and undo actions to move through the deck quickly.
Shortlist prospects
Build a list of companies you want to contact and keep a running count of the companies saved to your list.
Export to CSV
Export the finished list as CSV so it can be loaded into another sending or outbound workflow.
Signal-based ranking that gets sharper over time
Swipe says it ranks on public signals alone, while Agently runs on your Slack, your calls, and your CRM and improves as you use it.
Common use cases
ICP-based list building
A founder, SDR, or AE can describe the ideal customer profile and quickly reduce a large set of companies to a smaller list worth outreach.
Rapid prospect qualification
Teams that want to move faster than spreadsheet research can review a deck with skip and keep actions, then undo mistakes as they work.
Outbound prep and export
Before starting an outbound sequence, users can export the selected companies as CSV and import them into the system they use to send messages or run campaigns.
Cross-vertical targeting
The examples on the homepage suggest it can be used across different verticals, including devtools startups, healthcare ops teams, and logistics B2B.
Team-informed prospect ranking
Because the product says it gets sharper with Slack, call, and CRM usage, it appears suited to teams that want ranking to improve as their internal data grows.
Pros and Cons
Pros
- Turns prospect list building into a guided swipe flow instead of a manual spreadsheet process.
- Supports quick filtering with skip, keep, and undo controls.
- Exports the final list as CSV for use in other outbound tools.
- States that ranking uses public signals and can improve over time with Slack, call, and CRM data.
Cons
- The source does not show pricing or plan details.
- The public page does not explain exact integration options, destinations, or how decks are sourced beyond public signals and Agently data.
FAQ
How does Swipe work?
The homepage shows a simple flow: tell Swipe who you sell to, let it deal the deck, keep the companies you want, then export the list when you are done.
What kind of prospecting does it support?
The site positions Swipe for building a prospect list from a target description. The examples shown include devtools startups hiring sales, healthcare ops teams, and logistics B2B.
Can I export the list?
Yes. The homepage includes an Export CSV option, and the page copy says you can export the list when you are finished.
What data does it use to rank companies?
Swipe says it ranks on public signals alone, and that Agently also runs on your Slack, your calls, and your CRM. The product page does not provide deeper setup or integration details.
Is pricing available on the site?
The available source material does not show pricing, plan names, or a trial flow. The pricing URL currently returns a 404 page.
Quick Facts
- Category
- Sales prospecting
- Primary workflow
- Build a prospect list by swiping through generated company decks
- Export format
- CSV
- Source domain
- swipe.agently.dev
- Pricing page
- Pricing URL returns 404 in the captured source
- Signals mentioned
- Public signals, plus Slack, calls, and CRM data for Agently
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