Research-first outbound

Your AI SDR that actually researches before it writes

Most outbound tools blast templates at scraped lists. LeadKindle spends 30 minutes researching each prospect, then writes one email they want to open.

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The AI SDR market has a quality problem

50+ tools now promise to "replace your SDR team." Most of them scrape the same databases, run the same GPT prompt, and compete on who can send more emails faster. Reply rates keep dropping. Spam folders keep filling. The autonomous SDR promise peaked in 2025. What's missing isn't more automation. It's more intelligence.

The status quo

Scraped contact lists, generic templates with {first_name} merge tags, 500 emails/day, 0.5% reply rate. More volume, less signal.

What actually works

A sales rep who spent 30 minutes on LinkedIn, read the prospect's recent posts, understood their Q2 priorities, and wrote one email that landed.

LeadKindle's approach

An AI agent that does the 30-minute research at the speed of software, then writes like the rep who did the homework.

Deep research in. Personalized outreach out.

01

Target

Give LeadKindle a company, an industry, or an ICP. It identifies the right decision-makers and starts digging.

02

Research

The agent reads their LinkedIn, recent posts, company news, funding rounds, job changes, and tech stack. It builds a real picture, not a data row.

03

Outreach

One email per prospect. Specific, relevant, and grounded in something they actually care about. Follow-ups adjust based on signals, not timers.

Template-first vs. research-first

Typical AI SDR
LeadKindle
Scrapes contact databases
Researches individuals
GPT-fills a template
Writes from research context
500 emails/day, 0.5% reply
50 emails/day, 15%+ reply
Optimizes for volume
Optimizes for conversations
Follow-up on timer
Follow-up on signal

Outbound should feel like a warm intro, not a cold blast

LeadKindle is building the sales agent that does the work most humans skip. Not more emails. Better ones.

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