I Built a $10K/Month AI Agent
Ivan Nedlekovski built Lancer, an AI agent that automates job discovery and bidding on Upwork, reaching $10,000 monthly revenue in just 3-4 months without paid advertising. The episode explores his unconventional growth strategy using "connectors"—identifying influential intermediaries (Upwork coaches) with trusted networks rather than building an audience from scratch, demonstrating a replicable playbook for platform automation AI products.
Key takeaways
- • AI agents automating tedious workflows on existing platforms like Upwork represent a massive opportunity, as they solve real pain points that previously required 10+ hours per week of manual work.
- • The "connector" strategy—identifying and recruiting trusted influencers or coaches within your target market as affiliates—bypasses the need to build an audience and provides instant access to qualified customers through high-trust relationships.
- • Most growth (two major affiliates) came from personal referrals and direct outreach, with commission structures of 20-30% lifetime recurring revenue proving sufficient incentive for high-value partners to actively promote the product.
- • The tech stack leverages TypeScript, Next.js, Node.js, and modern AI APIs to build quickly, with Claude Opus and Cursor enabling rapid development at minimal engineering overhead.
- • Defining your Ideal Customer Profile (ICP) first—rather than building features speculatively—is critical; Lancer's ICP is agencies doing high-volume proposals, not individual freelancers, which shaped product positioning and affiliate targeting.
- • Any platform with a large user base experiencing repetitive, tedious workflows is a candidate for AI automation; examples include Fiverr, LinkedIn, Poshmark, and Pinterest beyond Upwork.
Recommendations (12)
"TypeScript on both the front end and the back end using Next.js and Node.js"
Ivan Nedlekovski · ▶ 5:17
"At this point we're all using Cursor with Opus 4.5 and we barely touch any actual programming language"
Ivan Nedlekovski · ▶ 13:08
"We use Elasticsearch for basically querying the jobs and all the data we store"
Ivan Nedlekovski · ▶ 13:27
Mentioned (3)
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