A pre-launch fintech built a 1,100-person ICP-qualified waitlist with Linkeddit + Claude in 14 days
Lumenpay — Seed-stage B2B fintech
Lumenpay needed a beta waitlist full of real SMB founders with multi-currency invoicing pain — not curious Twitter bookmarkers. Linkeddit surfaced the threads where those founders were already complaining. Claude + MCP turned each complaint into a tagged waitlist entry and a qualitative insight for product.
Background
Lumenpay's thesis is that Stripe holds funds too aggressively for international SMBs and Wise's platform-fee model is broken for agency ops. Their ICP is loud about this — in very specific subreddits. The founding team knew that the first 1,000 waitlist signups needed to be interview-grade, because they'd also be the first design partners.
The problem
Classic pre-launch trap: easy to get 10,000 'email me when you launch' signups that are worth nothing, hard to get 1,000 ICP-matched signups that are worth everything. The team had to build the waitlist and the qualitative research pipeline at the same time — with three people.
Pipeline configuration
Lumenpay runs 2 Linkeddit pipelines. Each one is scoped to a narrow set of subreddits and keyword patterns so the lead queue never turns into noise.
Stripe / Wise pain
wise blocking my accountstripe hold on fundsstripe rolling reserveinternational invoicing nightmaremulti-currency invoicingpaypal froze funds- —Contactability score ≥ 60
- —OP account age ≥ 180 days
- —Thread must contain a revenue or transaction figure
Agency ops pain
paying international contractorsinvoicing in USD and EURcontractor payout platformagency payment stack- —Contactability score ≥ 65
- —Thread score ≥ 5
AI Content Writer workflow
- 1.Empathy-first drafts — first 80 words are pure acknowledgment, no product mention.
- 2.Exactly one ask per reply: 'we're building something for this specific problem — want early access?'
- 3.Never link to the signup page; use a plain hand-typed URL so it looks like a recommendation, not a drop.
- 4.Follow-up DMs are hand-written after an OP opts in, never templated.
Linkeddit MCP + AI integration
Lumenpay's killer workflow is a nightly Claude job that pulls all new leads + waitlist signups, classifies them against the ICP, and writes a one-page voice-of-customer report for product.
search_leads— nightly sweepget_lead_insights— full profile + niche tagsfetch_post_comments— read entire threads for product insightsearch_reddit— discover adjacent complaint subreddits the team hasn't onboarded yet
- —Airtable MCP — stores waitlist entries with every qualitative tag
- —Linear MCP — auto-creates product tickets when ≥ 3 leads cite the same feature gap
- —Notion MCP — nightly VOC report lands in the product ops doc
- —Gmail MCP — drafts personalized follow-up emails (founders send manually)
Pull all waitlist signups from the last 7 days. For each, use get_lead_insights to analyze: company size proxy, industry, likely transaction volume, primary pain keyword. Cluster into 5 groups. For each group, extract 3 verbatim quotes and write a paragraph describing what they want from us. Create Linear tickets for any feature cited by ≥ 3 leads.
Want to run this workflow yourself? Set up the Linkeddit MCP server or connect via the Claude connector.
Daily rhythm
- Morning — Alex reviews overnight leads + waitlist entries in Airtable.
- Throughout the day — Replies posted from two founders' personal accounts.
- Evening — Nightly Claude VOC job runs; report lands in Notion by 11pm.
- Friday — Weekly product sync uses the VOC report as the primary input.
Thread breakdown
Subreddits monitored
Results
- —1,100 waitlist signups in 14 days, 62% matching the ICP on company size and industry.
- —One thread alone drove 220 signups and three inbound VC intros.
- —Voice-of-customer report informed 4 of 6 features in the beta release.
- —Now treats Reddit as the primary qualitative research feed in the company.
Lessons
- 1.The VOC job was the surprise killer feature. Waitlist size is vanity; tagged pain-point data is compounding value.
- 2.Don't link the signup URL in the reply. Let them ask how to sign up — or search and find it themselves. Signup rates were 1.6x higher without the link.
- 3.Auto-creating Linear tickets from recurring complaints eliminated the 'what do we build next?' debate.
“People think of a waitlist as a marketing asset. Ours is a product research instrument. Every person on it is a tagged data point with verbatim language — because Linkeddit's MCP turns every Reddit reply into a row in Airtable and a paragraph in a VOC report.”
Build a pre-launch waitlist ops pipeline
Same stack, same playbook. Free to start, under 5 minutes to set up.