Yigit Guney @MYG_AI

What's the most fragmented workflow in your industry that an AI OS could fix? #AI #WorkflowAutomation #Startups

The solution is an integrated AI Operating System. One platform that acts as the central nervous system for your entire workflow. At @cleatus_ai, we've unified the entire GovCon bidding process—from finding an RFP to writing the final proposal—all in one place.

Is your AI "stack" just a bunch of fragmented tools? A tool for writing, a tool for research, a tool for compliance... It often creates more busy work than it saves.

It's a huge paradigm shift. Which industry do you think is most overdue for its own AI Operating System?

This is what we're building at @cleatus_ai for Government Contracting. An end-to-end OS to help SMBs find, bid, & win. Our system reads 200-page RFPs in seconds and helps teams ship winning proposals 5-10x faster.

An AI OS acts as the central nervous system for an industry. It moves beyond single tasks (like writing copy) to provide strategic intelligence across the entire business lifecycle.

I think the next wave of B2B #AI isn't about more single-feature tools. It's about building the complete "AI Operating System" for a specific industry. We're building it for GovCon to help teams ship bids 5-10x faster. What's the bigger opportunity in AI SaaS right now?

Most AI tools are just features. They're helpful, but they don't transform a business. The real future is the "AI Operating System"—an integrated platform that runs an entire workflow. #AI #SaaS #FutureOfWork

You can’t rush organic growth. Ship → talk about it → give it time. Some products just need a few seasons to bloom.

Investors, pay attention: We're blowing the lid on this industry. Genuine Disruption coming your way...

What progress looks like so far: 400+ firms have secured $112M in awards through CLEATUS—many with fewer than five people.

Road to $1M ARR: 700k in 7 months so far. Aiming for Series A raise EOY. @cleatus_ai We went back and forth a lot as founders on if we should raise seed or not. Decided not to and scaled here bootstrapped. Anyone else thinking about bootstrapping VS raising?

What we're building: Models trained on 10M+ past solicitations that auto-match vendors, predict win probability & draft compliance docs—so small GovCons stay in the game.

New to Building in Public as a concept but think it could be great for our product. Any pointers?

Thoughts on solving un-sexy problems in un-sexy industries? We are doing it in Government Contracting, not sure if that's considered un-sexy but something I heard from a VC recently.

Follow along. I'll share datasets, code drops & lessons learned as we navigate the new procurement era. DM if you want early access.

Lobbyists won’t win the next decade of GovCon—AI operators will. CLEATUS AI arms teams of any size to compete and win in this industry.

Perspective: $490 B/yr is 1.6× NASA’s budget. Boosting efficiency just 10 % would free $49 B for new missions, research—or taxpayer relief.

Disruption ≠ death. Vehicles like Alliant, OASIS & 8(a) STARS still need agile partners. Build once, list everywhere—and scale across the new GSA landscape.

Clock is ticking. GSA drafts its plan in 90 days; changes land late 2025. That’s six product cycles—ship your AI proof-of-concept now.