Case Studies
Real results.
Not hypotheticals.
AI agent setups, SaaS exits, and products built from scratch. Here is what we have actually done, not what we claim we can do.
How a SaaS founder automated half their business with an AI agent
AI agent setup for a startup studio
The Challenge
Running a startup studio with multiple products means juggling dozens of daily tasks: checking analytics, responding to leads, updating CRM, publishing content, monitoring competitors, and doing research. The founder was spending 4+ hours daily on tasks that did not require creative thinking.
The Solution
We built "Jars," a custom AI agent system using OpenClaw. The agent runs on cron jobs and handles morning briefings (email summaries, analytics snapshots, revenue updates), CRM management (lead scoring, follow-up sequences), content creation (social posts, blog drafts, newsletter content), and research (competitive analysis, market trends). Sub-agents handle specialized domains like code review and customer support.
Results
- Morning briefings delivered by 7 AM with full business overview
- CRM automatically updated with lead interactions and scoring
- Social media content drafted and scheduled weekly
- Competitive intel reports generated automatically
- Customer support tickets triaged and common questions answered
- 20+ hours per week freed up for high-leverage work
“My AI agent knows more about my business metrics than I do. It catches things I would miss and handles the repetitive stuff so I can focus on building.”
— Jars Solutions
From 0 to exit in 12 months: Building & selling Qura
Sold at age 20, bootstrapped to profitable
The Challenge
Our team identified a gap in the market for a specific SaaS tool. As a bootstrapped project with limited capital, the challenge was building a product, acquiring customers, reaching profitability, and positioning for acquisition — all within a year.
The Solution
Using the Jars playbook: build small, iterate fast, focus on retention. We designed and built the MVP in weeks, launched to early users, iterated based on feedback, and grew through content marketing and direct outreach. The focus was always on unit economics and building a product that could run with minimal ongoing effort.
Results
- MVP launched within first month
- First paying customer within 6 weeks
- Reached profitability within 4 months
- Built to 5-figure MRR through organic growth and content
- Positioned and sold the company within 12 months
- Clean exit with no outside funding or debt
“The playbook is simple. Build something small, get to profitability fast, and either keep the cash flow or sell at 4-6x ARR. Repeat.”
— Jars Solutions
DMpro: Building a Twitter DM automation SaaS
$79-$299/mo plans, growing organically
The Challenge
Twitter (X) is one of the best platforms for B2B outreach, but managing DM campaigns at scale is tedious and time-consuming. Founders and growth marketers were manually sending hundreds of DMs per day, losing hours to repetitive tasks with no way to track results.
The Solution
DMpro automates Twitter DM outreach with smart targeting, personalized messages, follow-up sequences, and analytics. Built with a focus on deliverability and compliance, it gives users the ability to run outreach campaigns on autopilot while tracking open rates, response rates, and conversions.
Results
- Product-market fit validated within first month
- Three-tier pricing: Starter ($79), Growth ($149), Pro ($299)
- Organic growth through Twitter content and word-of-mouth
- High retention due to direct revenue attribution for users
- Automated onboarding reduces support load
- Growing user base with strong unit economics
“DMpro started because I needed it myself. I was sending 100+ DMs a day manually. Now the tool does it for me and for hundreds of other founders.”
— Jars Solutions
Want to be the next case study?
Whether it is an AI agent, a SaaS product, or a full business automation, let us talk.