We're building something that answers the question investor ask when news breaks:
"What does this mean for my portfolio?"
Real-time narrative intelligence. Get access:
Our founder @drupeek was featured in Steven Bartlett's 100 CEOs newsletter.
The question: hardest decision as a founder?
"Start all over again from ground zero. Not one, but ten steps back... for two forward."
He was at a crux with Delphia and ended up spinning it into 4
Picking individual stocks is becoming obsolete.
Not because fundamentals don't matter—but because themes move faster than individual companies can.
We believe that the future of investing is concept-level positioning: 🧵
@Tilt exists to turn any macro view—AI infrastructure, energy transition, geopolitical hedging—into a diversified basket.
Spread risk and adapt as themes evolve.
Investors are living through one of the most volatile macro environments in decades—AI breakthroughs, elections, geopolitical shifts, inflation...
Yet our tools for understanding portfolio impact haven't evolved.
We're relying on
- Generic news feeds
- Charts and ticker symbols
Our founder @AndrewPeek's thoughts on what happened when a Substack post triggered billions in losses — and why we're building infrastructure to connect narratives to portfolio exposure in real-time.
No doubt, you all saw that Citrini's Substack post (co-authored by my friend @alapshah1) moved the market yesterday.
Bloomberg captioned the market sentiment pretty well: "Software, Payments Shares Tumble After Citrini Post on AI Risks."
Which resulted in...
IBM: -13% (worst
We're at the dawn of personalized investing:
→ Investors want exposure that reflects their views
→ Themes will soon matter more than single stocks
→ And investors (of all sizes) want their tax alpha
Picking pre-made funds or betting on single stocks was the last chapter.
Over the past 3 days, we’ve witnessed a decrease in the total return of the Trump versus Harris Tilt equity basket, which has been concurrent with the reduced odds in favor of former President Trump in the prediction markets. 1/3
