We Replaced 15 Sales Tools with One Desktop App

Today is launch day. Skylarq is a Mac desktop app with 8 integrated features that replace your entire sales stack — Find, Network, Outreach, Automation, Meetings, Inbound, Intelligence, and Dashboard. One AI agent. One app. Zero compromises. Here is the story of why we built it, what each feature does, and how to get it running on your machine in under three minutes.

The Problem We Lived

In 2020, I built Homebase — a proptech platform helping people in Southeast Asia become property owners. We went through Y Combinator’s W21 batch, raised $50 million, and scaled the company to 120 employees. We ran a full sales motion from day one: inbound leads from paid campaigns and organic content, outbound prospecting to property buyers and real estate partners, enterprise sales cycles with developers, partnership conversations with banks and mortgage providers, and investor outreach across three fundraising rounds.

To make all of that work, we assembled a stack. Apollo for finding leads. Outreach for email sequences. LinkedIn Sales Navigator for prospecting. Otter.ai for recording meetings. Notion for notes. Calendly for scheduling. Zapier to stitch things together. HubSpot for the CRM. And half a dozen more subscriptions on top. At peak, we were paying for 15 tools that touched the sales workflow.

None of them talked to each other. Not in any way that mattered.

Apollo did not know what Outreach had sent. Outreach did not know what had happened on the last call. Otter produced transcripts that sat in a folder nobody opened twice. Zapier automations broke silently and nobody noticed for days. HubSpot was perpetually out of date because manual data entry was the last thing anyone had time for after a day of calls and meetings. The glue between all of these systems was a human — one of us, usually — doing data entry and context switching that generated exactly zero revenue.

The actual selling — the relationship-building, the discovery, the close — got compressed into whatever time remained after the tool-management overhead. That is backwards. Every hour spent copying data from Apollo into HubSpot is an hour not spent with a customer. According to Salesforce’s 2025 State of Sales report, the average rep uses 10 different tools to close a single deal and spends only 28% of their time actually selling. The rest is administrative overhead that creates no pipeline and closes no deals.

I spent three years living inside that problem. After exiting Homebase, after McKinsey, after Harvard — I kept coming back to the same conclusion. The industry does not need another point solution. It does not need tool number 16 in the stack. It needs a replacement for the stack itself.

Jack and I spent 14 months building that replacement. Today we are shipping it.

What We Built

Skylarq is a native macOS desktop app. Not a browser extension. Not a Chrome plugin. Not a SaaS dashboard you log into. A proper desktop application that runs on your machine, stores your data locally, and operates continuously in the background.

It ships with 8 integrated features that cover the full sales cycle from finding a prospect to closing the deal and measuring the result. These are not 8 separate modules bolted together. They share a single memory layer. What happens in a meeting informs your outreach. What the knowledge graph learns about a company shapes how the agent writes its first message. What the network map reveals about a shared connection changes how you approach the introduction. The integration is the product.

The mental model is not “this is another sales tool.” The mental model is “this is an AI employee who runs your sales function while you focus on the conversations that actually matter.”

Watch the 4-Minute Demo

Before I walk through each feature, here is Skylarq running live. Four minutes, no slides, no narration overlay — just the product doing real work.

The 8 Features

Each feature is designed to do one thing exceptionally well — and to make every other feature better by sharing context, data, and memory across the system.

1. Find — AI-Powered Prospect Search

Every pipeline starts with the same question: who should I be talking to? Most prospecting tools answer this with a database and a set of dropdown filters. Company size, industry, location, job title. You set the filters, scroll through results, and manually evaluate each lead. It works, but it is slow and it misses the prospects who matter most — the ones whose fit cannot be captured in a checkbox.

Find works differently. You describe your ideal customer in natural language: “Series B SaaS companies in fintech with 50-200 employees who recently hired a VP of Sales and are expanding into Europe.” The AI agent interprets that query, searches across 200M+ professional profiles and multiple data sources, and returns scored results ranked by how closely each prospect matches your description. The scoring is contextual. The agent understands that a company that just raised a Series B, is hiring aggressively in a new market, and has a new sales leader is probably in a buying window — even if the structured data does not spell that out explicitly.

Every prospect comes enriched. LinkedIn activity, company news, career trajectory, recent posts, mutual connections, conversation entry points. Not a spreadsheet of names and emails. A researched, prioritized queue of people you should actually talk to, with the context you need to start a real conversation.

2. Network — Your Relationship Map

Almost every closed deal traces back to a warm connection. A mutual contact. A shared alma mater. A second-degree introduction that turned a cold email into a warm conversation. The problem is that most salespeople have no idea what connections they actually have until they manually search LinkedIn and try to piece it together from memory.

Network builds a visual relationship map from your existing contacts, email history, LinkedIn connections, and meeting data. It shows who you know, how you know them, when you last spoke, what you discussed, and — critically — who they are connected to that you should meet. When you find a prospect through Find, Network immediately shows whether you have a second-degree path, a shared connection, or any relationship signal that could warm up the outreach.

The power is in the connections it surfaces that you did not know existed. Your prospect at Acme Corp used to work at a company where your best customer is the VP of Engineering. Your investor sits on a board with the CTO of the company you are trying to sell into. The warm introduction path exists — you just could not see it because your contacts were scattered across LinkedIn, your email, your CRM, and your phone. Network pulls all of those sources together and maps the relationships automatically. Every interaction feeds back into the graph. Over time, it becomes the most complete map of your professional world that exists anywhere.

3. Outreach — Multi-Channel Campaigns

The days of single-channel outreach are over. Buyers live across email, LinkedIn, and WhatsApp. They respond on whichever channel is most convenient at that moment. A tool that only handles email misses the majority of how modern B2B conversations actually happen.

Outreach runs coordinated multi-channel campaigns across LinkedIn, email, and WhatsApp from a single campaign builder. Define the sequence — connection request on day one, follow-up message on day three, email on day five, WhatsApp if they opened but did not reply — and the agent executes it automatically across channels. But unlike a dumb sequencer, the agent adapts. If a prospect replies on LinkedIn before the email fires, the agent recognizes the conversation has started and adjusts the sequence. If a prospect opens the email three times but does not respond, the agent notes the engagement signal and modifies the follow-up.

Every message is personalized using the full context from the Intelligence module. Not “Hey {first_name}, I saw you work at {company}” personalization. The agent reads the prospect’s full LinkedIn profile, their recent posts, their company’s latest funding round, and writes a message that references something specific to that person. Our users see 55-65% connection acceptance rates — roughly double the industry average — because each message reads like a human wrote it after spending five minutes researching the person. The AI just does those five minutes in three seconds.

The timing is human-like. Messages go out spread across business hours with natural pauses. The app navigates LinkedIn using a real browser session, not an unofficial API that breaks every time LinkedIn updates their code. Every interaction — sent, opened, replied, accepted, ignored — is tracked and visible in your campaign dashboard.

4. Automation — 90+ Prebuilt Skills

Automation is the engine room. It ships with 90+ prebuilt skills — automated workflows that run on a schedule without you triggering them. Configure them once and they execute daily, weekly, or on whatever cadence you set.

The core skills that every user enables on day one:

• Morning Briefing — Delivered at 8am. Summarizes your pipeline status, meetings for the day, prospects who need follow-up, and deals at risk. Built from your calendar, email, CRM data, and meeting transcripts.
• Email Triage — Categorizes your inbox, surfaces messages that need a response today, and drafts replies for your review.
• Pipeline Review — Analyzes active deals, flags stalled opportunities, and suggests next actions based on deal stage and time since last contact.
• Prospect Research — Automatically researches leads in your queue before outreach. Pulls LinkedIn data, company news, recent funding, mutual connections, and talking points.
• Follow-Up Queue — Identifies every person you committed to following up with but have not yet. Drafts the messages. Queues them for your approval.
• Meeting Prep — 30 minutes before each call, generates a briefing on the attendees: background, company context, your shared history, and suggested talking points.
• Competitor Monitoring — Tracks mentions of competitors across news, social, and job postings. Flags when a competitor loses a key hire, raises funding, or launches a competing product.
• Weekly Wrap — Every Friday, summarizes the week: meetings held, deals advanced, deals at risk, and priorities for next week.

Beyond the prebuilt library, you can create custom skills using natural language. Describe what you want to happen, when it should run, and what data it should use. The app builds the automation. No code. No drag-and-drop workflow builder. Just tell it what to do.

5. Meetings — Invisible Recording and Auto Follow-Up

Most meeting recorders require a bot to join your call. The bot shows up in the participant list with a name like “Notetaker AI.” The prospect sees it, asks about it, and the first two minutes of the call are spent explaining that you are recording. It changes the dynamic. Some prospects refuse outright.

Skylarq uses invisible call detection. Because it is a native desktop app, it detects when a Zoom, Google Meet, or Teams call starts on your machine and begins transcribing locally — without joining the call as a visible participant. No bot in the participant list. No awkward notification. The transcription happens in the background, silently, on your device.

After the call, the agent processes the transcript and generates structured output: summary, key discussion points, explicit action items with owners, objections raised, next steps, and a draft follow-up email. But the real value is what happens next. If you promised to send a case study, the agent queues a follow-up email with the case study attached. If the prospect mentioned they need to loop in their legal team, the agent updates the deal stage. If they said “let us reconvene in two weeks,” the agent schedules it. If a new stakeholder was mentioned by name, the agent adds them to your Network graph and queues them for research.

The follow-up email is drafted within seconds of the call ending. What used to take 20-30 minutes of post-call note-taking and email drafting takes under two minutes. Meeting intelligence that does not trigger follow-up action is just a prettier transcript. Skylarq closes that loop automatically.

6. Inbound — AI Visibility Engine

Here is a shift most sales teams have not caught up with: buyers are increasingly asking AI assistants for product recommendations before they ever visit your website. “What is the best sales automation tool for a 50-person SaaS team?” gets asked to ChatGPT, Perplexity, and Claude millions of times a month. If your product does not appear in those answers, you are invisible to a growing segment of your market.

Inbound is an AI visibility engine. It analyzes how AI models currently perceive and reference your product. It identifies gaps — queries where competitors are mentioned but you are not, topics where your product should surface but does not, descriptions that AI models have wrong about what you do. Then it provides specific, actionable recommendations: content to create, structured data to add, third-party mentions to pursue, and positioning adjustments that align with how language models retrieve and synthesize information.

This is not traditional SEO. It is a new category — optimizing for language model retrieval rather than search engine ranking. The companies that figure this out early will have a structural advantage in inbound lead generation for the next decade. Skylarq gives you the tools to be one of them.

7. Intelligence — Knowledge Graph

Intelligence is the memory layer that makes everything else smarter. It builds a knowledge graph — a structured map of every person, company, deal, meeting, conversation, and interaction in your world — and surfaces connections and patterns that would be invisible otherwise.

Every module generates data. Find generates prospect profiles. Network generates relationship maps. Outreach generates conversation histories. Meetings generate transcripts and action items. Intelligence connects all of it. When the agent drafts an outreach email, it pulls from the knowledge graph to personalize the message with signals the prospect does not expect you to know. When it prepares a meeting brief, it connects the prospect’s company to relevant deals you have closed in similar industries. When it recommends next actions on the Dashboard, it synthesizes signals from across the entire graph — email opens, LinkedIn engagement, meeting sentiment, deal stage progression, competitive mentions — to surface the highest-impact move.

The graph answers questions no single tool can. “Who do I know at this company?” Not just direct connections — second-degree connections through people you have actually spoken with. “What do I know about this prospect?” Everything: the meeting three months ago where their name came up, the email thread where a colleague mentioned them, the LinkedIn post they wrote that is relevant to your pitch. Intelligence gets more valuable every single day you use Skylarq, because every day the graph knows more about your world than it did yesterday.

8. Dashboard — Every Metric, Every Next Step

Most sales dashboards show you what happened. Pipeline value. Deals closed. Activities logged. They are rearview mirrors — useful for reporting, not useful for deciding what to do right now.

Skylarq’s Dashboard shows you what happened and tells you what to do next. Every metric is paired with a recommended action. Pipeline velocity dropping? The Dashboard identifies which deals stalled and what the agent recommends to re-engage. Connection acceptance rate down on a campaign? It flags the issue and suggests message adjustments. Meeting-to-close ratio below target? It pinpoints which funnel stage is leaking and what the data suggests as a fix.

The Dashboard also serves as the geographic view of your pipeline. See where prospects and customers are concentrated on a map, identify underserved territories, and spot geographic clusters that might benefit from in-person events or regional campaigns. Every data point in Skylarq — from Find through Meetings — surfaces here, in one place, with the context you need to make decisions. Not a dashboard that tells you your reply rate dropped 12% this week. A dashboard that tells you why it dropped, which segment caused it, and here is a draft of the value proposition that will fix it.

Why a Desktop App

We get this question constantly. In a world where everything is cloud-based, why build a native desktop app?

Your data stays on your machine. Prospect data, messages, meeting recordings, pipeline entries, knowledge graph — none of it gets uploaded to our servers. AI processing happens via Skylarq's built-in AI gateway. We are not a middleman sitting on your customer data. For anyone handling sensitive deal information or operating under enterprise security policies, this is not a minor detail — it is a fundamental architectural difference from every cloud-based competitor.

Real browser automation. When Skylarq interacts with LinkedIn, it uses a real browser session. It navigates pages, reads profiles, and takes actions the same way you would. This is fundamentally more reliable than unofficial API integrations that break every time a platform changes their endpoints. It also means Skylarq can work with any platform that has a web interface — not just ones that offer a public API.

Continuous operation. The app runs in the background, executing skills on schedule, monitoring for responses, and processing incoming data — whether you are at your desk or not. It is not a tab you open and close. It is infrastructure that runs your sales function around the clock.

“The most exciting frontier in enterprise AI isn’t chat interfaces — it’s autonomous agents that own entire workflows end to end.”

— Tomasz Tunguz, General Partner, Theory Ventures

Pricing

Skylarq is free during early access — daily outreach, morning briefings, meeting processing, prospect research, and knowledge graph updates are all included with no API keys to manage and no usage fees.

For context: Apollo costs $49-99 per month per user. Instantly is $37-97. Outreach.io is $100+. Otter is $20. Granola is $18. Zapier is $20-50. A modest stack runs $250-400 per month before you start talking about Salesforce or HubSpot seats. A full enterprise stack easily hits $1,000-2,000+ per month per rep.

Skylarq replaces all of it for the cost of API calls. This model works because we are not storing your data, running servers on your behalf, or maintaining API integrations that break. The compute you use goes to Anthropic. The app is the product.

Get Started

Setup takes under three minutes.

Step 1: Download the app. Download Skylarq for Mac. Open the .dmg and drag it to Applications.

Step 2: Create your account. Open the app and create your Skylarq account. The AI is built in — no API keys or third-party accounts needed.

Step 3: Connect your accounts. Link your LinkedIn (browser session), email (Gmail or Outlook via OAuth), and calendar.

Step 4: Configure your ICP. Tell Find who you are looking for. Two minutes of setup.

Step 5: Turn it on. Enable Morning Briefing. Set your outreach cadence. The app starts working immediately. Your first briefing arrives tomorrow at 8am. Your first outreach goes out on the schedule you set. Your knowledge graph starts building from day one.

Most users see their first prospect response to AI-generated outreach within 48 hours.

We built Skylarq because we lived the problem. Fifteen tools that never talked to each other. Hours lost to manual work that should have been automatic. Context scattered across a dozen tabs. That era is over.

One app. One agent. Eight features. Everything connected.

Welcome to launch day.

Written by the Skylarq Team

One AI agent for your entire sales stack — leads, outreach, meetings, and follow-ups. All from your Mac.

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