The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 6 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
Bajaria: In B2B, Mediocre Products With Great GTM Beat Superior Products
“Especially when you are B to B enterprise or like selling into other companies, good products or okay products with great GTM can still win out. Great products with bad GTM can still lose out.”
Bajaria: Major Ad Platforms in 2017 Could Not Target Specific Companies
“No advertising platform, whether it you take from Google to at that time, it was AppNexus to trade anybody, right, knew how to target accounts or companies.”
Bajaria: 6sense Email Agents Reply Autonomously Without Humans in the Loop
“What we have also built out is, when you respond back, that agent reads that email, and determines what you're looking at or asking for, it'll respond back. Without a human coming in the loop.”
Bajaria: Early 6sense Lacked Customer UI, Operating Purely as Data Layer
“There was no UI. Right? There was, the only UI we had was for just to demo as a sales tool. That was our UI. But no customer in the beginning ever logged into our UI.”
Bajaria: 6sense Raised Early Funds Primarily to Project a Larger Presence
“Like, as Sixth Sense, I'll tell you, like, there was a time when we raised money, and we raised money for, not because we wanted to build more product, or because we wanted to, we raised money because we wanted to appear bigger than we were.
We took the bigges…”
Bajaria: Early 6sense Stalled Because Enterprise Clients Resisted Cloud Deployments
“And we got our initial customers. We got all those things, but then it became a challenge to scale it up because it was becoming more like consulting projects because we had to, they didn't want to put it in the cloud. We had to go to their systems, their own …”