Companies

Drip

usedrip.ai

Drip autonomously finds leads, manages conversations, follows up, and books meetings for recruiting and founder-led teams.

HQSan Francisco, California, United States
Employees1-50
Jobs checked 21h ago
Sales TechAI Agent / AutomationB2B SaaS

About

Drip builds a desktop AI conversation-automation application for recruiting agencies, executive-search firms, and founder-led teams. It autonomously finds leads, messages prospects across multiple channels, follows up, and books meetings, while syncing conversations for the team and keeping messages on the user's computer.

Market

Drip competes in AI sales engagement and outbound-automation, with a vertical focus on recruiting, staffing, executive-search, and MSP client development. It positions itself as an autonomous, multichannel workflow that finds and scores leads, sends outreach, manages follow-up and replies, and books meetings, rather than as a conventional candidate-sourcing or ATS tool. Its main differentiation is a local-first Mac app spanning channels such as LinkedIn, email, Gmail, Slack, and iMessage, combined with optional local/BYOK LLM paths and an MCP interface; the comparison set is primarily broader sales-engagement platforms such as Outreach, Apollo, Reply.io, Amplemarket, Salesloft, and Lemlist.

Target Customers

Drip primarily targets recruiting and staffing agencies, executive-search firms, MSPs, and founder-led or small teams that need client development and outbound follow-up. Its best-fit users are agency owners, recruiters, and small BD/sales teams whose outreach is inconsistent and who manage client conversations from a Mac.

At a Glance

Problem

Drip addresses the leakage and busywork in recruiting and sales conversations: leads go cold when first outreach, replies, or follow-ups are slow, fragmented across channels, or dependent on someone remembering to act. Its sharpest use case is recruiting follow-up: after a candidate passes a screen, Drip flags stalled threads, nudges candidates on the channel they actually answer, and handles scheduling so an active candidate does not disappear during the interview loop. The economic pain is primarily lost conversion and throughput—fewer booked calls, delayed searches, and missed client-development opportunities—although the company does not publicly quantify those losses.

Product / Service

Drip is a Mac desktop application and AI conversation-automation service for recruiting agencies, executive-search firms, and founder-led teams. It searches for leads from a plain-English description, scores and verifies matches, sends initial outreach and follow-ups in the user's voice across LinkedIn, email, iMessage, Outlook, Slack, X, and WhatsApp, drafts or sends replies, schedules meetings on Google Calendar, and automatically logs conversations to the team's CRM. Users can retain approval control through drafts or enable autopilot within defined limits; the core benefit is a unified, continuously updated pipeline without manual data entry or repetitive follow-up.

The commercial model is freemium-to-paid SaaS: the product is free to start, while AI and autopilot are added through paid plans. Published pricing starts at $29 per month for Solo, $99 per seat per month for Pro, and $199 per month for a three-seat Team plan, with a custom agency option and usage-based AI overages subject to a cap.

Market

Drip competes in the overlap between recruiting-agency business-development software, sales-engagement automation, recruiting messaging, and lightweight CRM or inbox orchestration. Its positioning is narrower and more conversation-centric than a traditional ATS: it explicitly says it is not trying to rank resumes, but to keep live candidate and client threads moving. Adjacent alternatives include Loxo, which combines recruitment sourcing and workflow automation, and Bullhorn, the established enterprise CRM and ATS for staffing and recruiting agencies; broader multichannel sales-engagement platforms are also substitutes.

The company appears to be an early-stage entrant rather than a scaled incumbent. Y Combinator lists Drip as an active Spring 2026 B2B recruiting and sales-enablement company founded in 2026 with a two-person team in San Francisco. Its downloadable product, paid pricing, and live recruiting workflows show commercialization, but the public materials reviewed disclose no customer count, revenue, or usage metrics, so there is evidence of launch and accelerator traction but not yet of proven scale or confirmed profitability.

Founders & Leadership

Mike LevinFounder
Founder

Funding History

2026-03
YC Spring 2026 accelerator fundingUndisclosed

Y Combinator

Recent News

2026-07-25product
AI tools for recruiting agencies - drip

Drip’s official product page describes client-side outreach for recruiting agencies, including hiring-signal discovery, automated outreach, follow-up, and intake-call preparation alongside ATS and sourcing tools. The date is derived from the page’s “7 days ago” timestamp relative to 2026-08-01.

2026-07-19product
ai for staffing agencies that wins the job orders | drip

Drip’s staffing-agency product page positions the service as client-side AI that works outreach across LinkedIn, email, and text while recruiters fill existing requisitions.

2026-04-24
Drip: Never miss a lead

Y Combinator’s company profile identifies Drip as a 2026-founded San Francisco startup led by Mike Levin. It describes the product as autonomously finding leads, sending first messages, following up, booking meetings, and syncing conversations for teams.

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Business Model

Drip uses subscription pricing with Solo at $29 per month, Pro at $99 per seat per month, and Team at $199 per month, alongside a custom plan for agencies and teams. Paid plans include monthly AI-credit pools, with additional usage billed at $3.50 per one million credits subject to a cap.

Products

Drip desktop app for AI lead discovery, ICP-based sourcing and scoring, contact-route verification, outreach, follow-up, reply handling, meeting booking, and unified inbox managementAI SDR and autonomous messaging workflows that write in the user's voice, send first messages, follow up, handle replies, and book meetingsDrip MCP server for running sourcing, enrichment, drafting, and provisioning through Claude, Cursor, ChatGPT, or another MCP client

Customers

No publicly named enterprise customers identified

Tech Stack

LLM-based AI automation, including hosted drip AILocal-first Mac desktop app with local access to iMessage and Mac dataOllama for optional local LLM generationBring-your-own-key support for Anthropic and OpenAI modelsHTTP MCP server with OAuth or secret-key authentication, compatible with Claude, Cursor, ChatGPT, and other MCP clientsIntegrations across iMessage, LinkedIn, Gmail, Slack, Calendar, email, and related connected accounts

Competitors

Outreach.io
Apollo.io
Reply.io
Amplemarket
Salesloft
Lemlist