Bootstrapped
Website:
bootstrapped.app
Seniority: Executive
Job details:
40% of enterprise software will ship some form of embedded AI agent by the end of this year.
Here's what that stat doesn't tell you: most of it still can't be trusted to complete a real action. It can describe one.
A few more numbers worth sitting with:
→ The AI agents market is projected to go from roughly $11B to $53B by 2030 — and very little of that value is being captured by the platforms these agents live inside.
→ Nearly every major enterprise platform now has a "copilot." Ask an actual employee if it feels like it knows their company. Most say no.
→ AWS exists. People still buy Salesforce. A powerful platform underneath has never stopped a better, purpose-built product from winning on top of it — and I don't think this cycle is any different.
I'm building in that gap right now. Enterprise software that actually knows the company it sits inside of, remembers how people work without crossing lines it shouldn't, and earns the right to be trusted with real company data — instead of assuming it.
The thesis is sharp. The architecture is scoped. What I don't have yet is a technical co-founder who wants to own the build, not just execute it.
If you:
→ have shipped real backend/infrastructure work, ideally with security or enterprise-data exposure
→ want to make the hard technical calls yourself, from day one
→ get genuinely excited by agent architecture, not just prompt-engineering a demo
→ are in or open to Chennai/Bangalore, or solidly remote
...comment or DM me. I'll share the rest one-on-one.
Genuinely curious what people think: should enterprise AI be expected to remember anything about how you work, or is a great answer to the question in front of it enough?
- #TechCoFounder #EnterpriseAI #StartupHiring #CTO #BuildInPublic
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