Seed2Scale

Watch the conversation to understand what it takes to build AI products that resonate: youtube.com/watch?v=HjpoU2…

In the age of AI, almost anyone can build. But taste? That's harder to come by, & impossible to outsource. In a recent @Seed2Scale podcast, @Microsoft's Jason Graefe, & @Accel's @skirani, discuss why the instinct for great products is still the sharpest edge a founder can have.

A strong product without a clear path to market is incomplete. Who you sell to, how you price, how you expand, how you distribute, each of these shapes the product. Watch the conversation for more insights: youtube.com/watch?v=HjpoU2… (2/2)

Some people are PhD level in terms of data science and GenAI, but high school level in terms of go-to-market (GTM). In the latest @Seed2Scale podcast, @Microsoft's Jason Graefe makes it clear: GTM isn’t a post-product decision. It should be a part of the design. (1/2)

Watch the podcast: youtu.be/HjpoU2uYFTQ (6/6)

Go-to-market can’t be an afterthought. It has to be designed early, alongside the product. (5/6)

The first sale, especially to an enterprise, is a trust sale. That was one of the many sharp takeaways from a recent conversation between Jason Graefe, CVP of the AI Partner Catalyst Team at @Microsoft, and @skirani, Partner at @AccelIndia. (1/6)

The real challenge is staying intellectually honest and adapting quickly. He expands on this in his blog on where AI is actually heading. Read here: seedtoscale.com/blog/the-ai-st…

In a space where progress is exponential, one of the hardest things for founders is letting go of what they’ve built. Akhil Gupta, VP of Engineering, @databricks, points out that many AI teams stick to outdated assumptions simply because they’ve invested in them. (1/2)

The full piece explores this shift in detail: seedtoscale.com/blog/the-ai-st… (4/4)

For founders, this changes where to build. As models improve, defensibility will depend less on the model and more on how well systems are evaluated and made reliable. (3/4)

As the AI stack matures, the core challenge for founders is shifting. In our latest blog, Akhil Gupta, VP of Engineering at Databricks, explains that despite the surge of new tools, AI systems still follow a simple lifecycle: build, evaluate, and monitor. (1/4)

Watch Gokul in conversation with @_AnandDaniel, Partner at @AccelIndia, for more insights: youtube.com/watch?v=ZFR5mc… (3/3)

That’s why, he argues, startups should be cautious about importing senior leaders from large firms too early. Instead, it’s often far more effective to promote people from within — operators who understand the product, the customers, & the pace at which startups operate. (2/3)

Just because you worked at a FAANG, doesn't mean that you can succeed at a startup. AI has eroded the value out of credentials, experience and other markers of success, says @gokulr, Founding Partner at @MarathonMP. (1/3)

Watch the conversation: youtube.com/watch?v=jOQkZ6… (3/3)

As @RajanAnandan, Managing Director at @peakxvpartners, and @mukularora, Co-Managing Partner at @ElevCap explain, the right response is not to change course. Rather, return to customers, revalidate the thesis, and come back with tangible progress. (2/3)

A ‘no’ in fundraising is rarely the end of the conversation. In many cases, it is simply a signal that conviction is not fully formed yet. (1/3)