Cold outreach is broken
for almost everyone.

• You spend 3 hours researching a VC's portfolio before writing a cold email that gets no reply.
• Investor intro requests go through warm connections you don't have yet.
• Generic "I'd love to connect" emails get deleted before they're read.
• You're running this manually in a spreadsheet between product sprints.

Outpulse finds investors by funding thesis, reads their portfolio and blog posts, and writes an icebreaker that proves you did your homework — automatically. 300 personalized pitches in the time it used to take to research 10.

• Bought lists have 30% bounce rates — hard bounces are killing your sender score.
• Mail merges with {first_name} get ignored. Everyone's seen them.
• Your CRM is out of date because updating it manually takes too long.
• You're switching between Apollo, LinkedIn, a spreadsheet, and your email tool constantly.

Upload your list, verify every email before you send one, and let AI write a personalized opening line per contact. All in the same tab. Replies go straight to your CRM.

• Client A's leads are in one tool, Client B's in another, and your VA mixed up two CSV exports.
• Each client wants "personalized" emails but it takes 20 minutes per contact to actually do it.
• You're paying for 5 separate SaaS plans and billing the client for tools they don't know about.
• When a client asks "what's the reply rate?" you need 30 minutes to pull numbers together.

One workspace, five client campaigns running in parallel. Separate personas, separate inboxes, separate lists — zero cross-contamination. Bulk CSV enrichment for any list, any source. REST API and webhooks to plug into your own client dashboard.

• You manually research each candidate's background before writing a personalized message.
• LinkedIn InMail credits run out fast. Email is more effective but harder to find.
• You're tracking outreach in a spreadsheet that's already out of date.
• Follow-up reminders fall through the cracks when you're working multiple roles at once.

Find candidates by company, role, and location. Verify their professional email. AI reads their LinkedIn and writes an opening line that references their actual experience — not just their job title. Sequences handle follow-ups automatically.

• Developers aren't on LinkedIn. They're on Hacker News, GitHub, and Product Hunt.
• A pitch that doesn't reference their specific tech stack reads as spam.
• You don't know which repos or projects to reference — so you send something generic.
• Your reply rate from standard B2B databases is under 1%.

Search Hacker News hiring posts, GitHub repos by topic, and Product Hunt makers directly. AI reads their README, issues, and profile to write an icebreaker that references their actual project. Technical founders reply to emails that prove you've used their tool.

• You don't have time to prospect while you're delivering for a client.
• Your network is warm but small — you've already emailed everyone you know.
• Agencies and platforms take 30% of your rate just to connect you with clients.
• Cold outreach feels awkward and you have no system for follow-ups.

Build a short-list of ideal clients from Apollo or LinkedIn. AI researches each company and writes an opening that shows specific knowledge of their situation. Send 20 personalized pitches a week, automated. Sequences follow up so you don't have to remember.

What changes when you
stop doing it the hard way