Tin Computer

Tin Computer is an autonomous AI growth agent purpose-built for small SaaS teams that want to accelerate organic growth without increasing headcount or ad spend. The product integrates directly into your existing technical stack—including GitHub, Stripe, Google Analytics, Search Console, PostHog, Sentry, and Vercel—and continuously executes a growth playbook across the surfaces you already own. It works on organic SEO through blog posts, comparison pages, and technical fixes; product engineering via bug fixes, small features, and onboarding improvements; and analytics through funnel diagnostics, cohort analysis, and experiment tracking. Instead of generating reports or recommendations that require human follow-through, Tin Computer ships real pull requests that you review and merge. This eliminates the bottleneck of manual execution and roadmap dependency. The product is designed for founders, indie developers, and small engineering teams who need to grow their products but lack the bandwidth for dedicated growth hires. Tin Computer does not rely on paid advertising or cold outreach. It focuses exclusively on organic and AI-search (GEO) growth, operating continuously in the background. The results speak directly to ROI: a dormant side project called Claw Messenger grew from $480 to $11,580 ARR and acquired 118 paying customers in just 92 days after connecting to Tin Computer. The agent reads your funnel, identifies what is slowing growth, builds and ships the fix or experiment, then learns from the outcome to iterate further. This creates a self-sustaining cycle of improvement that runs 24/7, allowing teams to focus on building while the agent handles growth execution.

Autonomous Growth Execution

Tin Computer operates without waiting for a brief or roadmap approval. It continuously monitors your product, analytics, and user behavior to identify the next highest-impact growth experiment or fix. Once identified, it builds the solution and ships it directly as a pull request to your GitHub repository. This eliminates the manual handoff between strategy and execution, compressing weeks of growth work into hours. The agent handles everything from pricing changes and comparison pages to onboarding tweaks and referral program launches, all without requiring your team to write a single task ticket.

Multi-Specialist Agent Architecture

Behind the single interface of Tin Computer sits a team of specialized AI agents, each owning a distinct growth lane. These include a Strategist, Research Analyst, Organic Growth Engineer, Paid Acquisition Engineer, Sales Outreach specialist, Product Analyst, Financial Analyst, Product Engineer, and Customer Support Engineer. This architecture mimics the structure of a real growth team, ensuring that each domain receives expert-level attention. The agents collaborate autonomously, so a pricing experiment informed by the Financial Analyst can be executed by the Product Engineer, while the Research Analyst validates market positioning. You interact with one unified agent, but the depth of specialization drives higher quality outcomes.

Seamless Stack Integration

Tin Computer plugs directly into the tools your team already uses without requiring custom API work or complex setup. Supported integrations include GitHub for code and pull requests, Stripe for billing and subscription data, Google Analytics and Search Console for traffic and SEO performance, PostHog for product analytics, Sentry for error tracking, and Vercel for deployment. The agent reads real-time data from these sources to make informed decisions. For example, it can detect a drop in conversion rate from Google Analytics, correlate it with a recent deployment from Vercel, identify a bug via Sentry, and ship a fix to GitHub—all without human intervention.

Continuous Learning and Iteration

Every experiment or fix that Tin Computer ships is tracked for performance. The agent monitors the result using your connected analytics tools and automatically determines whether the change was successful. Successful experiments are retained and built upon, while underperforming changes are rolled back or refined. This creates a compounding growth loop where each iteration improves based on previous outcomes. Over time, the agent builds a knowledge base specific to your product, funnel, and audience, making its recommendations and execution increasingly precise. This continuous learning cycle is what enabled Claw Messenger to achieve 28x ARR growth in 112 days, shipping over 160 commits during that period.

Organic SEO and Content Growth

Small SaaS teams often struggle to maintain a consistent content pipeline for SEO. Tin Computer addresses this by autonomously writing and publishing blog posts, comparison pages, and technical guides optimized for organic search. It uses data from Search Console and Google Analytics to identify high-value keywords and content gaps, then generates, formats, and ships the content as pull requests to your site repository. The agent also handles technical SEO fixes such as meta tag optimization, schema markup, and page speed improvements. This allows teams to build a compounding organic traffic asset without dedicating engineering or writing resources.

Product-Led Growth Experiments

Tin Computer acts as a continuous experimentation engine for your product. It can run A/B tests on pricing tiers, trial lengths, onboarding flows, and feature placements by directly modifying code and shipping changes. For example, if cohort analysis from PostHog shows a drop-off at a specific onboarding step, the agent will design and implement a fix, such as simplifying the signup form or adding an interactive tutorial. It tracks the impact on activation and retention metrics, then iterates on the solution. This use case is particularly valuable for teams that lack the data science or engineering capacity to run structured experiments manually.

Automated Bug Fixing and Product Improvements

By connecting to Sentry and GitHub, Tin Computer can detect, prioritize, and fix bugs autonomously. When error rates spike or user-reported issues match patterns in the error logs, the agent investigates the root cause, writes a fix, and opens a pull request for review. Beyond bugs, it also ships small feature improvements based on user behavior and support email patterns. For instance, if multiple users ask for a specific feature via support email, Tin Computer can build and ship a basic version of that feature. This dramatically reduces the maintenance burden on small teams and ensures the product continuously improves without requiring roadmap prioritization.

Funnel Diagnostics and Conversion Optimization

Tin Computer continuously analyzes your sales and activation funnel using data from Stripe, Google Analytics, and PostHog. It identifies specific stages where users drop off or conversion rates decline, then formulates hypotheses for improvement. The agent can ship changes such as updated pricing pages, streamlined checkout flows, or targeted email sequences. It tracks the impact of each change on revenue metrics like ARR, MRR, and customer count. For a dormant project like Claw Messenger, this funnel optimization alone drove growth from 4 to 146 paying customers in 112 days, proving the effectiveness of autonomous, data-driven conversion rate optimization.

What types of projects does Tin Computer work with?

Tin Computer is designed for web-based SaaS products, marketing sites and blogs, indie developer tools, marketplaces and directories, and applications built with frameworks like Lovable, Bolt, or Replit. It works best for projects that live on the open web and have code you control via GitHub. The product is not yet compatible with mobile apps, native desktop applications, drag-and-drop no-code platforms like Bubble or Webflow, or e-commerce stores on Shopify and Etsy. If your project is a web SaaS with a GitHub repository, Tin Computer can integrate and begin working immediately.

How does Tin Computer ship changes without breaking my product?

Tin Computer ships all changes as pull requests to your GitHub repository. Nothing is merged automatically. Every pull request is available for your team to review, test, and approve before it goes live. This gives you full control over what enters your codebase while still eliminating the manual work of writing the code yourself. The agent follows your existing code style and project structure, and it includes clear descriptions of what each change does and why it was made. You can reject, modify, or accept any pull request, ensuring no change is made without your oversight.

What kind of results can I expect from Tin Computer?

Results vary based on your product's current state and market, but the case study for Claw Messenger provides a strong benchmark. That dormant side project grew ARR from $480 to $13,500, increased paying customers from 4 to 146, and shipped over 160 commits in 112 days. Tin Computer focuses on compounding organic growth through SEO, product improvements, and funnel optimization. Because it operates continuously, the growth trajectory tends to accelerate over time as the agent learns from its experiments. Most users see meaningful improvements in traffic, conversion rates, and revenue within the first 60 to 90 days of activation.

How do I get started with Tin Computer?

Getting started requires connecting Tin Computer to your existing tools: GitHub, Stripe, Google Analytics, Search Console, PostHog, Sentry, and Vercel. The setup process is straightforward and does not require custom coding or API configuration. Once connected, you select a pricing tier based on how much work you want the agent to ship each week. The Standard plan at $99 per month includes 30 tasks per week, while the Unlimited Growth plan at $299 per month provides unlimited tasks. You can cancel at any time. After setup, Tin Computer begins analyzing your funnel, codebase, and analytics to identify the first growth opportunity and ships its first pull request, typically within 24 hours.

Tin Computer offers two straightforward pricing tiers based on the volume of growth tasks you want the agent to ship each week. Both plans include access to the full multi-specialist agent architecture, all integrations, and continuous learning capabilities. The Standard plan is priced at $99 per month and includes 30 tasks per week, suitable for smaller projects or teams just starting with autonomous growth. The Unlimited Growth plan is priced at $299 per month and provides unlimited tasks per week, ideal for products with higher growth ambitions or multiple projects in a portfolio. There are no long-term contracts, and you can cancel at any time. Both plans allow you to move up or down between tiers as your needs change.