I notice patterns and share what I learn.
Bengaluru
Joined June 2025
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Faultline began as a game between two Bleach fans who did not know when to stop arguing.
@shipwithshyam and I would pick a decision, change one condition and debate everything that might happen next.
Who benefits? Who resists? What breaks three steps later?
The Almighty from Bleach gave us the entertaining version: seeing different possible futures.
We settled for asking increasingly difficult questions.
Eventually, we started turning the game into a system—mapping people, organisations, incentives, relationships and constraints, then tracing what a proposed action could set in motion.
Then we started using it on our own problems.
The results genuinely surprised us. It surfaced fragile assumptions, second-order effects and consequential details that neither we nor the other tools we tested had noticed.
Apparently, being the developers did not exempt us from being corrected.
That was when it stopped feeling like just a game.
As we explored strategy and research workflows, one question kept coming up: what happens between having the data and recommending what to do?
A consumer report can tell you what people value. Interviews can explain their frustrations. Neither, on its own, tells you how customers, competitors and partners might react to your particular plan—or how those reactions could affect one another.
They have not, unfortunately, agreed to follow your presentation.
That gap interested us.
Could we help teams explore those consequences, challenge their assumptions and see what still needed evidence before committing?
That became the serious direction for Faultline.
It does not predict the future. It helps you examine what a decision might set in motion—and where your reasoning could break.
Our internal results gave us a reason to keep building. The next test is whether it helps other people with decisions that matter to them.
If you work in brand strategy, research, consumer insights, consulting or product marketing, I would genuinely like to understand how you turn data and an unclear problem into a recommendation.
We have built the capability. Now we are looking for the right problems and pilot partners. Dm us.
runfaultline.com
As AI makes software cheaper to build, the moat shifts to domain expertise, distribution, and customer relationships.
That's the idea behind Emberkind: a network connecting industry experts and engineers to build software businesses together.
emberkind.vercel.app/
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Would your company hire someone full-time who also podcasts, speaks, writes, or teaches?
I’m exploring a hiring platform for companies that support these pursuits—with clear boundaries.
Building an employer waitlist. Founders and hiring teams: reply or DM if interested.
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India’s next software opportunity may appear where revenue grows, but approvals and exceptions keep piling up with the founder.
Another hire adds capacity. It doesn’t necessarily remove the bottleneck.
I’m looking for Indian businesses that have reached this point. Where have you seen it?
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I have never understood why people hype stuffs so much always when it comes to things they dont understand.
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"Gaps the world can’t ignore anymore.”
That might be the simplest definition of an inevitable market.
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Most billion-dollar ideas begin as gaps the world can no longer afford to ignore.
Here’s how to find one before everyone else does.
Taste is the ability to notice value before popularity gives everyone permission to see it. #tastemaxxing
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RT @JaspNathaniel: Taste is the ability to notice value before popularity gives everyone permission to see it.
In a world where almost everyone can make something, taste becomes the difference between producing more and producing something worth noticing.
Jasper Nathaniel retweeted
Spent the last few months on exactly this problem. The hard part isn't building a population, it's building something that holds up at the individual level. More on this soon.
