StartUp / Ai Startups
Track AI startups, new venture creation, founder strategy, product direction and investment signals across the fast-moving artificial intelligence sector.
I Built a $10K/Month AI Agent
Summary
Ivan developed Lancer, an AI agent that automates job discovery and bidding on Upwork, achieving $10,000 MRR within three to four months. The subscription-based app helps freelancers save over 10 hours weekly on repetitive tasks. Ivan's approach to growth relied on affiliate marketing through 'connectors' rather than traditional paid advertising.
The initial version of Lancer was built quickly as an internal tool, later evolving into a commercial product using TypeScript, Next.js, and Node.js. The app offers three pricing tiers, starting at $79 for 30 proposals, and leverages AI for job qualification and proposal writing. Ivan emphasizes the importance of identifying the Ideal Customer Profile (ICP) to effectively target users.
Ivan's strategy involved engaging reputable Upwork coaches as affiliates to drive traffic and establish partnerships. This connector approach allowed for a more efficient customer acquisition process, focusing on individuals with existing networks of potential users. The success of this strategy hinges on the connectors' influence and trust within their networks.
Defining the ICP for Lancer is crucial, focusing on agency users who can manage a high volume of proposals. Ivan outlines a step-by-step process for identifying and engaging connectors, including personalized outreach and commission structures. This method aims to create a sustainable growth model through affiliate partnerships.
Perspectives
short
Proponents of AI Automation
- Demonstrates the potential of AI agents to automate repetitive tasks
- Achieves significant revenue growth without paid advertising
- Highlights the importance of identifying and leveraging connectors for growth
- Emphasizes the value of automating workflows on existing platforms
Skeptics of Uniform Solutions
- Questions the assumption that all freelancers face the same challenges
- Raises concerns about the reliance on connectors for customer acquisition
- Highlights the need for ongoing market validation to adapt strategies
Neutral / Shared
- Discusses the technical stack used for building Lancer
- Mentions the subscription model and pricing tiers
- Explores the potential for similar applications in other sectors
Metrics
time_saved
over 10 hours
time freelancers save weekly on repetitive tasks
This highlights the efficiency and value proposition of the tool.
saves them over 10 hours a week of very boring and repetitive work.
job_posts
200,000 jobs
jobs posted on Upwork each month
This indicates a large potential market for automation tools.
There are around 200,000 jobs posted on platform each month.
commission_rate
30%
commission for connectors who onboard clients
This incentivizes connectors to actively promote the product.
they get 30% commission for a lifetime.
commission_rate
20%
commission for connectors who refer clients
This creates a tiered incentive structure for connectors.
if they just refer them, then that's 20%.
commission
20-30%
standard commission for connectors
This incentivizes connectors to promote the product effectively.
the standard is, I would say it's 20 to 30% lifetime commission.
revenue
$10,000 USD
monthly recurring revenue for Lancer
This figure indicates the financial viability and market demand for the product.
$10,000 a month
Key entities
Timeline highlights
00:00–05:00
Ivan developed Lancer, an AI agent that automates job discovery and bidding on Upwork, achieving $10,000 MRR within three to four months. The subscription-based app helps freelancers save over 10 hours weekly on repetitive tasks.
- Ivan built Lancer, an AI agent that automates the job discovery, qualifying, and bidding process on Upwork, achieving $10,000 MRR within three to four months without paid ads. The app operates on a subscription model with three pricing tiers and helps freelancers save over 10 hours a week on repetitive tasks
- The idea for Lancer originated from Ivans experience with his software development agency, where he identified the opportunity to automate the tedious process of qualifying jobs and writing proposals. Testing the tool with agency owners led to successful results, prompting him to launch Lancer as a standalone product
- Ivan highlights the potential of AI agents to automate workflows on platforms like Upwork, which have large user bases. This creates significant opportunities for others to discover ideas in their daily lives
05:00–10:00
Ivan developed Lancer, an AI tool that automates job discovery and bidding on Upwork, transitioning from an internal solution to a commercial product. The subscription model offers three pricing tiers, starting at $79 for 30 proposals, and leverages affiliate marketing through 'connectors' to drive growth.
- Ivan built the initial version of Lancer over a weekend using TypeScript, Next.js, Node.js, GCP, and Firestore. The tool evolved from an internal solution for his agency into a commercial product after successful beta testing with agency owners
- Lancer automates the job discovery, qualification, and bidding process on Upwork, helping freelancers save over 10 hours a week on repetitive tasks. The subscription model includes three pricing tiers, starting at $79 for 30 proposals
- To grow Lancer, Ivan identified connectors—individuals with access to his ideal customer profile—and convinced them to become affiliates. This strategy allowed him to leverage their networks instead of relying on paid ads
- Ivans growth strategy involved targeting Upwork coaches with strong reputations. He successfully onboarded two coaches, one through a referral and the other by offering a financial incentive
10:00–15:00
Defining the Ideal Customer Profile (ICP) for Lancer is crucial, focusing on agency users who can manage a high volume of proposals. Identifying and engaging connectors, such as reputable Upwork coaches, is essential for driving traffic and establishing partnerships.
- Defining the Ideal Customer Profile (ICP) is essential for Lancer. The ICP should be agency users who can onboard easily and handle a high volume of proposals, rather than freelancers
- Identifying connectors, such as Upwork coaches with strong reputations, is key to reaching the ICP. These connectors have a wide network of ideal customers and can drive significant traffic
- Crafting a personalized pitch to connectors is vital. This pitch should include thorough research and references to their work, fostering relationships that can lead to valuable partnerships
- Negotiating partnership terms with connectors typically involves offering a commission of 20-30% for lifetime referrals. The specifics can vary based on the connectors network size and activity
- Tracking affiliate performance and automating payments is crucial for maintaining partnerships. Tools like Tolt simplify managing multiple affiliates and ensure timely payments
- If starting over, the speaker advises building software products immediately. The skills gained from this process are highly leveraged and applicable across various online business models
15:00–20:00
Ivan's development of Lancer demonstrates the potential for AI agents to automate job discovery and bidding, achieving $10,000 MRR. The current AI landscape offers unique opportunities for entrepreneurs to create applications that enhance productivity across various sectors.
- Ivans journey showcases the potential of building AI agents as side projects, scaling his dev agencys AI product to $10,000 a month. This highlights the vast opportunities for creating applications that automate tasks across various sectors
- The episode emphasizes the value of automating repetitive work on platforms like Upwork, Fiverr, and LinkedIn. Advancements in AI technology now allow for the development of tools that streamline tedious tasks that were previously unfeasible
- The current AI landscape presents unique opportunities for entrepreneurs. Leveraging AI for automating mundane tasks opens doors for innovative solutions that can significantly enhance productivity
- Viewers are encouraged to explore building their own applications using resources like Starter Story Build. The platform provides guidance to help aspiring developers launch their apps quickly and connect with real users
- The conversation reflects on the rapid growth of AI capabilities, which were not possible just a few years ago. This evolution creates fertile ground for new ideas and products that can address existing inefficiencies in various industries