We are ruthless about testing & curating the ideal software stack at my AI company.
Here is an exhaustive list I built with our team:
Quick context:
- We do AI engineering-as-a-service & AI transformation for midmarket enterprises.
- Our team breakdown is 75% engineers, 10% technical strategists, 5% marketing, 5% ops, 5% management
Daily operations:
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@HubSpot - source of truth for marketing/sales
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@OpenAI - use gpt5 pro as my daily driver
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@SlackHQ - team comms
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@NotionHQ - central knowledge hub
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@typeform - lead capture
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@zapier - lots of Hubspot <> app connectors
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@stripe - electricity for internet money
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@mercury - my ride-or-die for banking
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@ashbyhq - our HR recruiting platform
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@Calendly - call scheduling
Marketing & content:
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@figma - site/newsletter/software design
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@webflow -
@tenex_labs' website built on it
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@beehiiv - powers our weekly newsletter
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@capcutapp - when I try to pretend i'm an influencer
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@RiversidedotFM - tech for our applied AI show
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@LumaHQ - all-in-one calendar for our show
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@HeyGen_Official - AI avatar for social videos
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@elevenlabs - custom voice trained on me
Engineering:
@langchain - agent framework
Ghostty (
@mitchellh) - supercharged terminal
@vercel - cloud AI platform/UI elements
@OpenAI - API codex
@openrouter - model-switching
@AnthropicAI - API Claude Code
GCP - all infra stuff
@awscloud - all infra stuff
@linear - less shitty Jira
@coderabbitai - QA/PR reviewer
@cursor_ai - AI-native IDE
@PyTorch - ML framework
@nvidia - training custom models
@Raspberry_Pi - running edge models
@runwayml - fine-tuned models
P.S. if you're one of these companies & aren't yet a channel partner of ours, plz DM me.
I'd love to work with you.