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Here’s how I use Attio to run my day.
Attio is the AI CRM with conversational AI built directly into your workspace. Every morning, Ask Attio handles my prep:
Surfaces insights from calls and conversations across my entire CRM
Update records and create tasks without manual entry
Answers questions about deals, accounts, and customer signals that used to take hours to find
All in seconds. No searching, no switching tabs, no manual updates.
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You've Been Waiting on Someone Else to Fix Your Stack
You know the feeling.
There's a gap in your workflow. A tool that doesn't exist, costs too much, or does 70% of what you need. You raise it. Your manager agrees it's a problem. Nothing happens.
SDRs wait on sequences that don't fit their market. Sales leaders wait on dashboards that never get built. Founders wait on engineering to prioritize GTM tooling — which is always last in the queue.
Jeff Ignacio stopped waiting.
He's spent two decades building revenue engines at Google, AWS, and Vizier. He's now a fractional GTM advisor — and he's building his own tools solo, without an engineering team, in production, charging real money..
The Three-Month Bridge Problem
Every GTM professional has lived this — it just hits differently depending on your seat.
If you're an SDR: Tool budget is frozen. You personalize manually.
If you're a Sales Leader: The dashboard you need is on the engineering roadmap. For Q3.
If you're a Founder: You're stitching five tools together and none of them talk to each other.
Jeff calls it the three-month bridge problem: the solution exists, but the approval cycle takes a quarter to unlock it. By the time it's resolved, the problem has compounded.
There's now a third option.
“Vibe coding has collapsed the cost of building internal tools from $50,000 and an engineering sprint to $2,000 in credits and five hours of human time.”
Jeff built DraftGrain — a LinkedIn content tool with a voice fingerprint engine, post approval lifecycle, LinkedIn and X API integration, and a self-improving feedback loop. Solo. In production. $15–20/month. Comparable tools charge $200.
The Rule: If a vendor can't solve your exact problem and procurement is 90 days away, you now have a third path. Use it.
How to Actually Build It (Jeff's Framework)
The Old Way: "We need a platform with multi-user support, campaign management, and analytics."
The Builder Way: "I need to solve one specific pain. What's the minimum that makes that possible?"
Three steps to get started:
Start with the pain, not the platform. One problem. One user. One happy path. DraftGrain started as: post to LinkedIn 5x a week in under 5 minutes. That's it. Everything else came after.
PRD before code. Write your problem statement, feed it to an LLM, have a second LLM rate it 1–10, iterate until it's airtight. Then ask it to break the build into phases with dependencies. Build one phase at a time.
Scope creep will kill you. These tools are "yes, and" machines — they'll build whatever you ask, including the wrong thing. After every module, ask: "How far have I deviated from the original vision?"
The Bottom Line
The same skills that make you good at GTM — knowing what good looks like, understanding workflows, seeing where things break — make you capable of building the tool yourself.
The only thing missing was the ability to write code. That gap is gone.
The three-month bridge is now a weekend project.
👉 Full episode is live on AI GTM WTF.
Forward this to the SDR, sales leader, or founder who keeps saying "I wish there was a tool that did X" — and hasn't built it yet.
No AI SDR fairytales. Just the future of GTM.
— Rahul
AI GTM WTF isn’t here to celebrate the hype cycle. We’re here to arm you with what actually moves revenue.
If this hit, forward it to one operator who’s drowning in “AI strategy” decks and needs the signal, not the noise.
No AI SDR fairytales. Just the future of GTM.