Investor | Building AI-powered businesses around performance, systems & leverage. Building @InterGlobeT | Flowaisystems & Ascend app
London, England
Joined May 2021
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Using AI to build modern internet businesses around performance, systems and leverage.
Currently building:
- trading infrastructure
- performance tools
- consumer brands
- scalable digital systems
Documenting the process publicly.
It’s building things that actually work.
JM retweeted
Most trading journals focus on profit and loss. Learn why tracking your behaviour, decision-making and execution is the key to consistent improvement and long-term trading success.
JM retweeted
Journaling is one of the few habits that gives you a record of who you were, how you thought, and where you went wrong. The traders who improve the fastest are usually the ones who review themselves the most.
JM retweeted
InterGlobe Build Update:
Trading Playbooks are now live.
Traders can now:
- Build structured playbooks for each strategy
- Define entry, invalidation, risk, and management rules
- Link journal trades directly to a playbook
- Record whether each trade followed or broke the rules
- Measure playbook performance and adherence through Analytics
- Identify review gaps and refine strategies using real evidence
Playbooks are now accessible throughout the platform from the navigation, Dashboard, Journal, and Analytics.
This is the first major step beyond trade journaling: turning InterGlobe into a system for building, executing, and improving repeatable trading strategies.
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What holds traders back the most ?
Curious to what everyone thinks.
24%Lack of patience ?
38%Emotional decision making
21%Lack of structure ?
16%Inconsistency?
131 votes • Final results JM retweeted
Building InterGlobe Trading while actively using it myself has changed how I think about product building.
Real trades expose the real gaps faster than brainstorming ever will.
As I’ve shifted more into swing trading, a few things became obvious straight away:
the journal couldn’t just behave like every trade was intraday.
Another build successfully done. Ai integrated and fully functional.
ASCEND: Train Smarter. Gym app for beginners to advanced lifters.
JM retweeted
One small UI demo from InterGlobe Trading:
The calendar view.
Simple on the surface, but useful when you want to:
- See trading activity over time
- Revisit specific days
- Review trades in context instead of just scrolling through data
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Most traders can tell you:
- their strategy
- their pair
- their entry model
But very few can clearly explain their actual behaviour over time.
That’s usually where consistency starts breaking down.
🧵
Building ASCEND.
An AI-powered fitness app built to help you train smarter, recover better, and understand your progress properly.
Not another generic workout tracker.
Something that actually adapts to YOU.
Still early.
But this is going to be special.
Building ASCEND, a premium AI-powered fitness app that acts more like an intelligent training operating system than a basic workout tracker. The goal is one clean place where users can log training, understand recovery, track progress and eventually get grounded adaptive coaching
- Coach hub that turns existing data into grounded rule-based guidance and is now structured for future API/AI integration
Current state:
The app is no longer just a shell
All major tabs now have real purpose
I also built the groundwork for scalable content and discovery:
- Sitemap
- Robots
- Metadata systems
- Schema
- Topic clusters
- Internal SEO ops workspace