Core Features

Here’s what happens after you sign up for Spear. Each feature below is a step in the pipeline — from defining who you want to reach, all the way to booking a meeting on your calendar. No sales expertise required.

The Pipeline Funnel

Feature 1: ICP Definition Wizard V1 Core

The #1 blocker to effective outbound is that most founders can’t articulate their ICP precisely. Spear solves this with AI-assisted ICP building.

How it works:

1. Founder inputs their product URL, existing customer list (even 3-5 names), and a verbal description of who they sell to
2. AI analyzes the product page, pricing page, and existing customers — scraping company data, firmographics, and patterns
3. System outputs a structured ICP profile with scoring criteria: company size, industry, tech stack, job titles, pain points
4. Founder refines the ICP with AI suggestions, then locks it in as the targeting filter

AI specifics: Claude/GPT-4 for product analysis (input: scraped product page + pricing page → output: value prop summary, target persona hypotheses). For existing customer analysis: LinkedIn + company website scraping → firmographic pattern matching → ICP scoring model.

Feature 2: Prospect Discovery Engine V1 Core

Automated prospect finding based on ICP criteria, delivering 50-200 qualified prospects per week.

Data sources:

• LinkedIn (via proxied search)
• Apollo API for contact data + email finding
• GitHub (for dev tool companies)
• Product Hunt (for SaaS selling to startups)
• Job postings (hiring signals)

AI specifics: The LLM evaluates each prospect against ICP criteria. Input: prospect profile + company data + ICP definition. Output: relevance score 1-100 + reasoning + personalization hooks.

This isn’t keyword matching

The AI understands nuanced fit: “This company just raised Series A and is hiring SDRs, which means they’re scaling sales and likely need tooling.” This contextual reasoning is what separates Spear from simple database filtering.

Feature 3: Hyper-Personalized Sequences V1 Core

For each prospect, AI generates a 3-email sequence with deep personalization.

Email 1: Initial

Timing: Day 1 Personalization identifies the specific pain point this prospect likely has and connects it to the founder’s product value prop. Goes beyond “I saw you {company_fact}.”

Email 2: Follow-up

Timing: Day 3 Different angle, adds social proof or specific use case relevant to prospect’s industry. Shorter, more direct.

Email 3: Breakup

Timing: Day 7 Final touch. Creates urgency without being pushy. Often the highest-converting email in the sequence.

Voice matching: Analyzes the founder’s existing emails and website copy to match their tone. Subject line optimization uses cross-customer performance data (anonymized).

Feature 4: Autonomous Send + Reply Management V1 Core

Connects to Gmail/Outlook via OAuth and manages the entire sending and reply workflow.

Sending:

• Manages cadence (warm-up, throttling, send windows)
• Respects deliverability best practices
• Dedicated sending domains per customer with SPF/DKIM/DMARC

Reply classification:

Reply Type	AI Action
Interested	Drafts response with meeting time (from calendar). Founder approves with one click.
Objection	Drafts objection-handling response. Founder reviews before send.
Not now	Adds to nurture queue with AI-determined follow-up timing.
Unsubscribe	Immediately removes. Compliance maintained.
Out of office	Reschedules follow-up for return date.

Trust ladder: First 2 weeks, every email requires founder approval. Weeks 3-4, only first emails need approval. Month 2+, fully autonomous with notification.

Feature 5: Pipeline Dashboard + Weekly Intelligence V1 Core

Closes the feedback loop with visibility and actionable insights.

• Pipeline view: Prospects → Contacted → Replied → Meeting Booked → Opportunity
• Conversion metrics at each stage
• Weekly email digest: “This week: 150 contacted, 12 replies, 3 meetings. Top theme: [X]. Suggested adjustments: [Y].”
• A/B testing: System automatically tests message variations and reports winners

Why the dashboard matters more than you think

Founders need to see ROI immediately. Without a clear feedback loop, they lose trust in the system. The dashboard isn’t a nice-to-have — it’s what prevents churn in the first 30 days.