Outreach that ranksbefore it sends.

Paste your landing page URL into Linxa. It extracts an ICP hypothesis, finds people on LinkedIn showing intent around that problem, and puts them in draft mode so you can approve every first message. Within a week you have real conversations — and real data on whether the hypothesis gets replies.

Source from post commenters (people actively discussing the problem), run Smart Invite in draft mode (you approve every connection request), and set up a 2-step sequence (intro + one follow-up). Linxa tracks who replied, who accepted and went cold, and who is worth a second attempt.

Use the post-commenter source: search for posts about the problem you solve, save them in Signals, and Linxa builds a list of people who engaged. These are your warmest contacts — they are already talking about the pain your product solves.

Linxa in Draft mode. Paste your URL, let Linxa build the ICP, queue a few prospects, and review every message before it sends. You learn what works without risking your LinkedIn account or reputation. Switch individual sequences to autopilot when message #1 has a reply rate.

Run outreach through your own active browser session — never share passwords with cloud tools. Set daily limits, pace requests during local business hours, and pre-filter prospects by ICP relevance. Linxa works this way by default: Smart Invite paces connections like a human, nothing sends automatically unless you turn it on per sequence.

Use Linxa Signals: add a keyword search or track a thought leader in your niche. Linxa surfaces posts related to your topic and builds a prospect list from the people who commented or reacted — people already showing intent around your problem.

Yes — Linxa Signals and the post-commenter source in Outreach. Add a post or a saved search; Linxa pulls the commenters and reactors and queues them as prospects, ranked by ICP fit.

Linxa reads the prospect profile, their recent posts, and the context that brought them into your queue (e.g., they commented on a specific post). The first message references that real context — not {First_Name} tokens. Review in draft mode before sending to keep your voice.

Yes. Every sequence in Linxa starts in Draft mode by default. You see each message, can edit it, and approve the send. Switch to Send automatically only when you are confident in the script. Different sequences can have different modes.

LinkedIn limits vary by account age and activity, but the generally accepted safe range is 15–30 invites per day for most accounts. Linxa sets a conservative default and lets you adjust the daily cap. Sends happen during your business hours, not in overnight bursts.

Volume-spray automation is declining. Signal-based outreach — sourcing from posts and intent signals, personalizing from real context, pacing like a human — still converts. Linxa is built for the second approach.

Linxa. It adds what those tools lack: ICP extraction from your URL, signal-based sourcing (not just keyword searches), per-sequence delivery modes (Draft vs Auto), a built-in CRM, and MCP for AI agents. No cloud password sharing — runs through your own Chrome session.

Create one Linxa product per hypothesis. Each product has its own sources, sequences, and CRM pipeline. Kills the pipeline that does not reply; scales the one that does. Per-step stats show which ICP gets conversations.

A LinkedIn automation tool runs fixed sequences — it sends what you scripted. An AI outreach agent reasons: it derives the ICP, scores each prospect, writes personalized messages from real context, suggests who to follow up with, and adapts based on reply data. Linxa is the second.

Yes. Import from Pipedrive or paste individual LinkedIn profile URLs. Linxa queues them as a source, matches your sequence to each contact, and runs the follow-up with the same draft-or-auto control as any other campaign.

Waalaxy and Expandi optimize for volume — more invites, more messages. Linxa optimizes for signal: each prospect is ranked by real LinkedIn signals (posts, comments, reactions) before an invite goes out. You get fewer, better conversations — not a higher send count.

Yes. Each sequence has its own delivery mode: Idle (paused), Draft for review (you approve every message before it sends), or Send automatically. You can run new sequences in Draft while learning what works, then switch to Auto when message #1 has a reply rate.

LinkedIn keyword searches, Sales Navigator lists, saved searches, post commenters, post reactors, tracked authors, individual profile URLs, and Pipedrive contact imports. Each source type becomes its own queue, with its own sequence and delivery mode.