Elite Growth Hacking. Instant Web Automation. Data Extraction Without Limits.
We’re a black-ops dev team built for scale. Staffed by on demand talent with past experience at Google, Amazon, and Goldman Sachs. Pay us to build your edge.
Who’s Behind the Curtain?

Alex McInteer - Chief Technology Officer
Viral growth hacker turned elite consultant. Built bots reaching 52M+ users at age 16. Now building automations for Fortune 500s like Lyft and AirBnB. If it’s never been done before, Alex wants in.

Rishav Goyal - Data Scientist
Formerly at Goldman Sachs, Google, and Amazon. Rishav turns raw data into insights, automates decision-making, and builds systems that predict what your market will do next.

Pari Nganom – Web Automation Specialist
The execution engine. Pari builds scrapers and bots faster than your dev team can write specs. Give him a problem, and he’ll return working code.
Pricing Built for Velocity
Team Time
$75/hr
- Work handled by our core team
- Perfect for scrapers, bots, dashboards, data pipelines
- Fraction of the cost of agencies or FTEs
Executive Time
$250/hr
- Direct access to Alex
- System architecture, growth strategy, or technical fire drills
- Ideal for early-stage startups or Fortune 500 execs who need rapid impact
Minimum Engagement Amount
$2,500
- No small talk. We only take serious projects.
- Web automation, data science, growth hacking
- Deliverables that make your competitors uncomfortable
Case Studies
Scraping realtime data from reddit and twitter for Lyft and AirBNB
A globally recognized market research firm called decode_m reached out to Alex McInteer to have his team solve issues they were facing around a survey alternative solution for their clients Lyft and AirBNB that involved scraping reddit and twitter data and doing basic natural language processing and topic modeling to create a further unbiased alternative to the role surveys play in market research and public relations campaign management. Alex McInteer architected a solution that can scrape all posts and comments on reddit.com in real time for decode_M in a fraction of the time that they could have built the bot internally.
Instagram scraping for major record label Interscope Records
Lilo Social, a digital agency in NYC, had a client Interscope Records who wanted to build a tiktok style collage builder for an upcoming album release for one of their artists. The solution Lilo Social envisioned required taking instagram feed content that a user had posted, scraping that data, and adding music over it in a tiktok style collage. They reached out to Alex McInteer who made their vision into reality. Not only did Alex's team put together an impressive web application, but he also designed a automated QA stress test to gauge the web application's ability to withstand large amounts of site traffic.
Family Office Needs r/wallstreetbets sentiment data visualized
A family office wanted to trade pump and dump stock market opportunities by scraping reddit data from r/wallstreetbets and they also wanted a solution with the ability to backtest trading strategies on the scraped data. Alex McInteer personally developed a chatgpt-based sentiment analysis engine that classifies scraped reddit data as positive, negative, or neutral, and created a web app that charts the data as well. In addition to charting scraped data, Alex McInteer used his financial markets knowledge to create an engine that allowed company fundamentals AND sentiment data scraped from reddit to be used to backtest systemic investing strategies. See our Sample Portfolio section for a demo...
Demo Our Work With Our Portfolio
Our portfolio speaks for itself — bots, dashboards, and systems that bend the internet to your goals. All projects shown were developed entirely by our CTO Alex McInteer
pump.fun AI deeplearning memecoin trading bot
This is a personal project I built that trades on the memecoin cryptocurrency exchange pump.fun... Since pump.fun has no developer API I used a combination of reverse engineered API endpoints to scrape recently posted coins, candlestick price data, and recent trades, as well as selenium webdriver to automate buying and selling of memecoins. Selenium webdriver didn't have to be used but the HTTP endpoints for pump.fun trading involve a serialized transaction id which is base 64 encoded gibberish to communicate information on newly placed trades so for simplicity sake selenium webdriver was used to execute trades. The bot uses a neural network model to predict price changes in different memecoin markets.
For the sake of trade execution time, there is a WebDriverPreparer class that automatically creates 4 extra browsers with login sessions restored that can be used by any newly created coin exclusively meaning one selenium browser window per meme coin. This prevents the delay in creating a new webdriver when we need to execute our first trade as restoring the session and starting up google chrome can be time consuming. This personal project has proven to be profitable at trading but its not scalable in the sense that the trading volume and market caps on pump.fun are generally very low.
Reddit r/wallstreetbets scraper and chatgpt sentiment analyzer
This is the project from our case study about how we helped a family office identify pump and dump opportunities using scraped reddit data and chatgpt to classfiy sentiment as positive or negative. While many reddit scrapers use archive services like pullpush.io, we built a custom scraper that is powered by selenium webdriver to scrape all comments and posts made on r/wallstreetbets and regularly update their upvote counts on the platform.
Instagram Registration Bot
This project aims to tackle the issue with many social media marketing panels. Panels like Grow Bot Instagram Automater allow automation of following instagram users but not automation of account registration. My bot registers phone verified yahoo emails and uses Appium mobile device automation to control a real phone into registering an Instagram account using the created yahoo accounts. All created accounts are random common female first and last names with a randomly generated photo of a beautiful women. I want to add a feature that shares target user posts via DM sending. Where a target user's posts are shared with slave account's followers since not many SMM panels have this feature. If my potential clients express interest in this project I would be willing to build out more features.
Neural Network Training For pump.fun
This is the machine learning side of our pump.fun bot. We use the Deeplearning4J web dashboard to monitor model training progress for our various neural network models trained to predict pump.fun crypto prices. Pump.fun again is a site where anyone can launch a meme coin on the Solana blockchain. We take an approach of training a large number of models then backtesting those models trading performance on an out of sample dataset to measure hypothetical OOS return and max drawdown (max return minus max loss after max return) to gauge which of our models are effective in their predictive capabilities.