CTO of Mindreader

Tony Tong  • Peerlist

<h3>Unlock clarity in your life with The Modern Shrine, an AI-powered platform designed to help you understand recurring patterns and make better decisions.</h3>Leveraging advanced AI and ancient wisdom systems like BaZi, The Modern Shrine offers tools to decode your life patterns across work, wealth, and relationships. Gain insights into your financial behaviors, career trajectory, and relationship dynamics through guided prompts and AI-driven analysis.Key Features:<ul><li>AI Life Pattern Analysis: Understand the recurring cycles that influence your decisions.</li><li>Decision Clarity Tools: Utilize AI operating systems and guided prompts to navigate complex choices.</li><li>Free BaZi Calibrator: Access a complimentary tool to analyze your foundational life patterns.</li><li>Personalized Insights: Receive tailored guidance based on your unique patterns, without generic predictions.</li><li>Founder's Expertise: Benefit from the insights of an AI founder and pattern recognition practitioner.</li></ul>The Modern Shrine focuses on providing actionable interpretation, not just data. It's a navigation system for conscious decision-making, empowering you to think better and act with greater confidence.

The Modern Shrine - AI Life Pattern Analysis

At Mindreader, we know how tough relationship selling can be in today’s fast-paced world. Sales reps often spend hours doing manual research just to understand their clients, which leads to missed opportunities and generic pitches that don’t resonate. What if there was a way to change that?That’s where Mindreader comes in. Our AI-driven platform uses cutting-edge computer vision (physiognomy) and natural language processing (NLP) to give sales teams the tools they need to personalize their approach—right in real-time. Imagine if salespeople could instantly understand their clients’ personalities, preferences, and communication styles before even saying a word. That’s exactly what we do.By analyzing facial expressions and text data, we supercharge your pre-meeting research and deliver actionable, personalized insights that boost sales performance by 15-50%. Yes, just from a face photo of your client.And it’s not just a nice-to-have—it’s something that’s been tested and proven. For the last 8 years, we've worked with top financial institutions like DBS, Citibank, AIA, ERA, Walton, and more, training thousands of salespeople using our proven system. Most of our clients come from financial services (banks &amp; insurance companies).What really sets us apart is that we don’t just hand you a bunch of data—we show you how to actually use it to build meaningful relationships with your clients. Salespeople are empowered to connect on a deeper level, cutting down research time while boosting conversion rates across the board.Our platform is backed by IBF-certified training programs that have trained over 6000+ salespeople, earning an average 4.9+/5 rating from participants. We’ve also been selected for top startup programs and incubators like SMU BIG Incubator, Google for Startups, AWS Activate, Microsoft Azure, and IBM, so we’re in good company. We’ve raised $250K in a pre-seed round in 2023, giving us the fuel to scale our platform even further and reach more sales teams.Now, let’s talk about the accuracy about our most valuable technology - our face prediction AI. Our facial AI is hitting 70-90% accuracy on facial predictions, which is a huge leap in this space. Plus, our in-house research shows that our insights are statistically significant when compared to traditional personality frameworks like Big 5 and MBTI.What got me started with Mindreader was way back in 2017, I had a moment that changed everything for me. I was reading four different sales pitches for the same service, and while they all had similar offerings, I found myself pulled toward one that matched my own buying triggers. It clicked for me—personality really matters in sales and marketing. If it wasn't pitched to me the right way, I might miss out on a product that could have been useful. That experience inspired the creation of Mindreader, a platform that helps sales teams personalize their approach based on the unique personality of each client. This is crucial for high-stakes, 1-on-1 negotiations where salespeople only have 1 meeting to make an impression. Mindreader isn’t just another sales tool—it’s a game changer that helps sales teams connect, close more deals, and drive revenue in ways that were never possible before. Happy to connect and take your questions! 🙂

Mindreader

This classifier uses app store text reviews to predict which app category the review belonged to.
 
I learned how to separate insight from noise by evaluating multiple metrics from different angles.
 
This project was implemented in R, and my ensemble model attained an accuracy of 0.61. 

Android App Store Classifier

In University, I took a gap semester to self-learn software engineering through building a web application I was passionate about - to alleviate loneliness and depression by helping people build stronger circles.

The app is Bruce, a gamified CRM that helps workaholics preserve relationships. Through this project, I learned Vue.js fundamentals like components and reactive programming.

Also, I built chatbots on Facebook Messenger and Telegram to interact with the users, all powered by a database server in Amazon Web Services (AWS) and Python Flask.

Going through the entire technical stack - I realised this was what people meant by being a full-stack developer.

Bruce - Gamified CRM For Workaholics

I created a tool to predict Myers-Briggs Type Indicator® (MBTI) personality types, to help salespeople craft customized pitches to increase closing rates by 10%.
 
My goal was to help salespeople and entrepreneurs who have awesome products but face difficulty selling with standardized pitches. I implemented this using R for pre-processing and Python for machine learning.
 
I learned how to model a problem using data science, and to balance between theoretical and practical concerns while running a technical project. 

MBTI Prediction For Sales

I spearheaded a data science initiative to track my agency's landing pages to better optimize our conversion rates. My goal was to eventually bring these insights to our clients.
 
Using a combination of heat maps and web analytics tools, I was able to identify where our visitors dropped off and propose countermeasures by repositioning elements and adding visual cues to guide visitors.
 
I did this to learn more about marketing analytics and explore how such data can improve a business' bottom line.