Could you replicate your last deal? Your last 10 wins?
“Dig under the hood in the early days and often you'll find two friendlies, a warm intro from your cap table, and your sister's college roommate with spare budget,” says Sam Taylor (who was the first enterprise sales rep at Dropbox and an early GTM leader at Quip & Loom).
True revenue repeatability is more than closing — it’s knowing how to do it again (and again). It’s about trying to create a sales recipe where if you follow the steps, you can bake cakes.
That's the goal. But when every early deal feels like its own bespoke journey, where do you even start?
To help out, @BigMekaStyle dedicated the latest installment of his 0-$5M series on The Review to this very topic, sitting down with founders and early revenue leaders to crowdsource tactics for turning scattered early wins into a repeatable sales playbook.
New short course: DSPy: Build and Optimize Agentic Apps
DSPy is a powerful open-source framework for automatically tuning prompts for GenAI applications. In this course, you'll learn to use DSPy, together with MLflow. This is built in partnership with @databricks and taught by @ChenMoneyQ, co-lead of the DSPy framework.
Many AI builders spend hours hand-tuning prompts. When given a set of evals, DSPy automates this process. It’s especially useful for optimizing prompts, including few-shot prompts, in complex agentic AI workflows. Further, if you switch an application to a newer LLM, performance can degrade if your prompts were optimized to the previous model. DSPy automatically optimizes the entire system for the new LLM as well, using just a few evaluation examples.
This course teaches DSPy works, and best practices for using it. You’ll write programs using DSPy’s signature-based programming model, debug them with MLflow tracing -- to gain visibility into how different parts of a pipeline, as well as how the overall system, are performing -- and automatically improve their accuracy with DSPy Optimizer.
Please sign up here: https://t.co/bb8uILyepf
The TRUTH about "Vibe Marketing"
W/ @boringmarketer
1. n8n (Workflows with Agents)
2. Claude
3. MCP
4. Advanced Workflows
Time Stamps:
00:00 - Introduction
00:16 - Defining Vibe Marketing
00:53 - Real-World Use Case: AI-Assisted SEO Agency
01:52 - n8n: YouTube Video to Newsletter
04:05 - Understanding AI Agents and Workflows
10:19 - Exploring MCP in Claude
15:56 - Advanced Vibe Marketing Strategies
25:53 - Conclusion and Future of Vibe Marketing
Acquiring knowledge is easy, the hard part is knowing what to apply and when.
That’s why all true learning is “on the job.”
Life is lived in the arena.
Influencers are dead 💀
This AI just made a viral video from my product photo.
It’s 100% fake and it sells better than humans.
Here’s how it works (and how you can copy it).
here i'm running 12 - 16 claude 4 opus/sonnet code agents through claude code bridged to eigencode for coordination, additional memory layers & additional tools
they're running 95% autonomously with minimal input for several hours straight
the exact n8n workflow that's printing viral tweets for me
(and why I'm borderline stupid for sharing this)
most creators are burning 2+ hours daily crafting tweets that flop
meanwhile, I text my Telegram bot and get publication-ready content in 30 seconds
here’s what happens:
→ send message to Telegram bot
→ claude generates hook + full post
→ tweet gets sent automatically
→ ask for iterations if needed
the secret sauce isn't the workflow (that's easy)
It's the prompt engineering behind it
I reverse-engineered how top copywriters structure hooks
and systematized it into one prompt that consistently outputs 6-7 figure level copy
this thing cranks out posts that get:
- 10x more engagement than "normal" tweets - built-in psychological triggers
- perfect formatting for mobile scanning - hooks that stop the scroll dead
most people are still manually writing tweets like it's 2019
smart operators are automating their entire content pipeline
while maintaining quality that puts agencies to shame
the workflow takes 3 minutes to set up
the prompt took me almost 50 iterations to perfect
want the complete system?
Comment "WORKFLOW" + follow + repost and I'll send you everything
the prompt alone is worth more than most $497 courses
ELEVENLABS WHO?
This voice AI is open-source, ultra-expressive, and actually beats ElevenLabs in quality.
No paywalls. No weird licensing.
Just pure, controllable speech synthesis — built for creators and devs.
Here’s the model everyone’s switching to: 👇
The four waves of AI development and what's coming next. This comprehensive video covers AI's complete evolution:
- Before 2010: Rule-based systems, SVMs, feature engineering
- 2010-2020: Deep learning revolution (AlexNet, CNNs, GANs)
- 2020-2025: Foundation models, LLMs, multimodal systems
- 2025-2030: Autonomous agents and human-AI collaboration
Plus changing career opportunities from ML engineers to agent developers, and market growth projections.