Gautam Shewakramani
@gshewakr
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Founding Partner @inukacapital. Prev: Partner @joinodf fund, product x international @Skillshare @Quora. Founded & failed. Aviation & scuba geek.
Zoom
Joined November 2008
Mega-thread of my popular threads, in no particular order.
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For founders thinking about raising pre-seed, we’re opening up Inuka Capital’s screening process and how we use AI . If you’re a founder, this provides a peek into how we operate . If you’re a VC - we’ve been told by many that our process and tool stack is best in class 🧵.
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if i could find unicorns at the same rate that i find errors in cap tables calculated by high priced lawyers then @inukacapital would be the best performing venture fund in the history of the world.
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If you’ve gotten this far you’ll enjoy reading the details on how we built this stack. More here 👇.
inuka.vc
Inuka Capital is a $10M pre-seed fund run by ex-founders — we are a three-person team that backs Indian startups solving important problems with technology.
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Step 5 - All notes go in Notion. This creates institutional knowledge that allows us to answer questions like:. “What was that startup I met many months ago that was also selling a working capital solution to kirana stores. How is this different?”.
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Step 4 - Zero ghosting policy. We use automations to create tasks in our central task list (which we look at during our daily standup) to close the loop with founders. We close the loop with every founder we’ve met.
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Step 3 - We maintain context centrally. When a deal status moves to First Meeting, our automations spin up a Notion page + Drive folder. Every call with a member on a team is a continuation of the last - no need for the founder to provide an episode recap.
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Step 2 – ‘Should we meet?’ filter. Signals we use:. 1. Quality of intro (if not cold).2. Can this hit venture scale?.3. Founder-problem fit.4. Evidence of anything shipped / traction.
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Step 1 - One-forward intake:. Any intro email → Zapier → ChatGPT → Attio. In 30 seconds we get:.• deck link.• founder background.• traction snapshot + details (product, solution, etc)
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Context: @inukacapital is a $10M fund investing in India. We are 2 ex-founders and a founding analyst. To stay sane we automated everything that allows us to screen dealflow faster and make a decision on whether we want to take that first call.
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For founders thinking about raising pre-seed, we’re opening up Inuka Capital’s screening process and how we use AI . If you’re a founder, this provides a peek into how we operate . If you’re a VC - we’ve been told by many that our process and tool stack is best in class 🧵.
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Love this !.
4) Pay for Conviction: Finally, try and make room for the VC who goes over the line first (within reasonable limits). We went from no offers to many as soon the first term sheet came (this is normal).
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This was amazing to watch, it made me nostalgic about the possibilities I felt when I first got internet access, back in the 90s. People like @patio11 and @levelsio have made these possibilities real and are role models for an entire generation.
Pieter Levels (@levelsio) and I sat down over a pint to talk about how he’s making $3m a year as a one-person company, what Europe can do to spur economic growth, and his experience as a digital nomad in over 150 cities across 40 countries. Timestamps.00:00 Intro.00:37 Pieter’s
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Different perspective here
The saga of Jane Street needs so much context that I need hajaar time to get to the right way to say it. One day @uptickr and I were speaking, long back, on how easy it is to do exactly this: manipulate banknifty using the constituents and benefit from options. Jane Street.
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IMO this is an overly simplified take, even at 160 chars. It’s like saying the only thing matters for a good cook is nutrition content and not the taste of the food. This approach may work for mega funds or public markets but for early stage venture i think the first metric one.
The only metric that matters for an investor is delivered IRR. Everything else is noise.
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IMO this is an overly simplified take, even at 160 chars. It’s like saying the only thing matters for a good cook is nutrition content and not the taste of the food. This approach may work for mega funds or public markets but for early stage venture i think the first metric one.
The only metric that matters for an investor is delivered IRR. Everything else is noise.
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I fucking love this app.
This ended up raising $5,000 for @feederofcats, so here's a thread on whether President Zelenskyy wore a suit. 🧵.
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