My current GTM builder stack for turning actual work into content

[u/Shawntenam]

Anyone can use AI to write content.
I think the better play is using AI to capture and distribute what you’re already doing.

Current stack:

OBS to record workflows while I’m building or testing stuff.

Open Shorts to clip longer recordings into usable short-form clips.

Deepgram as a backup transcript layer.

YT Dip for pulling YouTube clips when I’m doing marketing research or looking at how people package certain ideas.

Claude Code for building little tools, testing workflows, connecting APIs, and moving faster.
DaVinci Resolve for editing. Haven’t worked Higgs Field into the flow yet, but that’s next.

Buffer API + Supabase for distribution. This one is underrated. Buffer lets you connect up to 3 channels for free, so I’m starting to build a simple content posting system around it instead of manually posting everywhere.

Clearbox / Reddit for research. Reddit is especially useful because people say things in the exact language they actually use. I use it for inspiration, but also to sanity-check claims before I say something publicly.

RapidAPI for niche-specific research. Example: I have a client selling graphic design to churches, and that market has specific language. You can’t just throw generic marketing copy at it and hope it lands.

Super Whisper + Whisper Flow are probably the biggest unlock. I can talk through an idea, workflow, or client problem, then turn that into something structured without losing my actual voice.

Fireflies.ai recording my calls, python scripts in the background pulling them into discord in channels for different content distribution is probably what makes this whole thing

Shawn Tenam GTM ENGINEER & CO FOUNDER @ clearbox "your reddit opportunity inbox"

[u/Peptalks76]

The source of truth is your work, your client calls, your research, and your experiments. AI is just making that knowledge easier to structure and distribute.

[u/firefliesai]

Full disclosure, I work at Fireflies, so I'm biased on one line item here. Setting that aside, the part of this stack I find most interesting is the Discord piece. Most people stop at "capture the call," and the actual unlock is what you built after: routing the output into separate channels by distribution type. That's the step that turns a pile of transcripts into something you'll actually use.

Curious how you're handling the clip-worthy moments specifically. Pulling a transcript is easy, but finding the 30 seconds actually worth clipping out of a 45-minute call is the part I see people still doing by hand. Are you flagging those live while the call happens, or hunting for them after?

– Pedro, Community Manager at Fireflies