How do you get the first people to pay?
For founders with something to sell and nobody buying yet. The pattern across these accounts is consistent: AI helps you research and personalise, but early customers still come from one-to-one conversations and showing up where buyers already are. The last section shows what launches tend to look like in practice.
6 workflows, picked and ordered by Founder Workflows. The notes are ours; each workflow's own page has the full details, sources and limits. Updated October 20, 2026.
Start here. Have AI find one specific observation about each prospect and build a five-sentence email around it. Over 312 emails the founder reports a 5.8% reply rate against about 2% before, 9 meetings and 3 deals. There was no control group, and the post's headline figure does not match its own numbers.
A startup founder shares a five-sentence cold email structure where an AI agent finds one specific observation about each prospect, and reports reply rates rising from about 2% to 5 to 6% on a small SMB test.
If you automate personalisation, keep it simple: one call with the prospect's whole web page beat a multi-step chain, and a soft ask for a reply mattered more than the persona. Qualitative findings only, from a studio that builds agents for clients.
A custom-agent studio explains why one LLM call with the full scraped website beat a multi-step chain for cold email personalisation, and why changing the call to action mattered more than the personalisation.
Use Claude to prepare for each call, and keep the outreach and relationship building personal. An experienced B2B seller's routine, reporting better-prepared calls but no measurements.
A sales leader who helps technical B2B founders pastes a prospect's name, company and website into Claude before a call to prepare, links Claude to Notion and Gmail, and avoids automated outreach.
Start in other people's comment sections, move good-fit readers into a short message sequence, and have Claude find patterns in comments and replies each week. The creator reports going from zero to almost 2,000 subscribers in about eight months, self-reported by a creator who sells coaching on the method.
A newsletter creator describes comment-first outreach that moves ideal readers into a short DM sequence, plus a weekly Claude analysis of comments, DMs and survey answers that feeds content ideas and offers.
A developer shipped a $9 tool in a weekend and got a handful of paying users, the first a stranger who found it through a retweet, along with a couple of refund requests. Tiny and self-reported, but an honest picture of a first launch.
A developer used ChatGPT for ideation, code and copy to ship a $9 content-repurposing tool in a weekend, and reports a handful of paying users and a messy build.
Free launch directories are not a plan. An app submitted to 16 of them saw nine go live and no visitors in the server logs after three days. Only a few days of data, but it matches what many founders report.
An AI agent project with a human owner submitted its app to 16 free launch directories in about 48 hours. Nine went live, seven were pending, and server logs showed no visitors from any of them.