Foundevo

How to Master the Art of Selling!

Praveen Panjiar

20 Nov 2025 — 6 min read

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July 24, 2024 | Listen Online | Read Online

In This Edition:

How to Master the Art of Selling!
Best AI Sales Assistant Tools
FREE, live SalesFunnels Workshop
How Llama-3-Groq Models Are Shaping the Future
⚙️ AI Tools to Boost Your Productivity

GROWTH STRATEGY

How to Master the Art of Selling!

Hey there, tech startup founders!

If you're reading this, you probably know the struggle all too well. Many of you, especially those without a background in sales, often find yourselves wrestling with the sales process.

It's like, how do you even begin to identify your ideal customers?

And when you do find them, how on earth do you pitch your product in a way that truly resonates?

Each pitch can feel like a shot in the dark, and more often than not, it misses the mark. Sound familiar?

Building a sales pipeline can feel like climbing a never-ending mountain.

You might be thinking, "How am I supposed to keep track of all these leads and follow-ups?" It's tough, right?

Gif by adsteam on Giphy

And the challenge only gets bigger when you're wearing multiple hats.

As a founder, you're not just focused on sales; you're also juggling product development, marketing, customer service, and who knows what else.

Balancing all these roles leaves little room for focused, strategic sales efforts. So, how do you manage it all?

This journey you're on, filled with ups and downs, is something many early-stage entrepreneurs face. It's not just you.

Every founder has been there, figuring out how to get their sales process off the ground. But here's the thing: it's all part of the growth journey.

With time, support, and a bit of persistence, you'll find your rhythm. So, what strategies have worked for you so far, and where do you feel you need the most help?

Let's navigate this journey together. I can't wait to share some invaluable resources that will transform your sales process and make it smoother than ever. Curious to know more?

Keep reading to discover the secrets that can take your startup's sales strategy to the next level!

What is a Sales Funnel? (& What You Should Make Instead) (Link)
How to Build an Effective Sales Funnel (Link)
How to Create a Sales Funnel for Tech Startups (Link)
How Conversion Funnels Create a Better Customer Journey (Link)
Sales Funnel Optimization: 9 Ways to Maximize Conversions (Link)
Startups' Guide to Optimizing Conversion Funnels (Link)
How AI-powered chatbots are transforming marketing and sales operations (Link)
How can AI-powered chatbots drive sales? (Link)
The marketing funnel in 2024: How AI can fuel growth (Link)
Lean into AI to engage and convert customers across the funnel (Link)
Free AI Chatbot Builder (Link)
Conversational AI for Sales in 2024 (Link)

STARTUP SPOTLIGHT

What Does the Abolition of Angel Tax Mean for India’s Startup Ecosystem? (Link)
Can Selling Flowers From a Pickup Truck Really Make $16,000 a Month? Her Journey Revealed! (Link)
How Did They Become Millionaires? Four Success Stories Share One Simple Tip (Link)
Starting Small, Aiming Big: 15 Budget-Friendly Micro SaaS Business Ideas for High Returns (Link)
What Matters Most in a Startup? Anshu Sharma, CEO of Skyflow, Shares Key Insights (Link)
From Vision to Reality: Palmer Luckey's Journey to Creating the First Oculus VR Headset at 16 (Link)
The 28 Secrets I Learned the Hard Way: Essential Rules for 20-Something Startup Founders (Link)
How Repetitive Training in Sport Translates to Building Billion-Dollar Startups: Luke Trickett’s Story (Link)

WEB PICKS

Cybersecurity firm Wiz CEO calls off $23 billion deal with Google,seeks IPO (Link)
Perplexity AI has integrated Meta's Llama 3.1 405b for all Pro users. (Link)
Is Meta’s Llama 3.1 405B the Ultimate AI Solution for Complex Problems? (Link)
Alphabet’s Revenue Growth Fueled by Cloud Computing and Search Ads (Link)
The Impact of Google’s Cookie Decision on the Future of the Internet (Link)
Will AI Agents Team Up to Solve Problems? Capgemini Predicts a Collaborative AI Future by 2025 (Link)
Inside Elon Musk’s Race Against NVIDIA: The Impact of AI Supercomputer Costs and Supply Limits (Link)
Gen Z's Career Dilemma: Why Manufacturing Could Be a Safer Bet Amidst AI and Student Debt Challenges (Link)
How Open Source AI Could Redefine Innovation and Combat Global Surveillance: Insights from Zuckerberg (Link)
Mark Zuckerberg’s AI Solution: How Bots Could Revolutionize Content Creation and Audience Engagement (Link)
Adobe’s AI Breakthrough: Transform Any Text into Editable Content with New Photoshop and Illustrator Tools (Link)

INVESTMENT & FUNDRAISING

Linx Unveils $33M Funding Round to Secure the Identity Perimeter (Link)
Fairfax Acquires Sleep Country in a $1.24 Billion Deal (Link)
Jake Paul's Deodorant Line Valued at Over $150 Million (Link)
Lead Ventures Launches €100 Million Fund to Boost CEE Startup Ecosystem (Link)
Plum Raises £13.4 Million to Expand Smart Money Management App (Link)
AI Startup Cohere Secures $500 Million in Funding, Valued at $5.5 Billion (Link)
AI Visionary Sam Kroonenburg Secures $5.5 Million for New Startup Cuttable (Link)
With $22 Million in New Funding, Posh Aims to Become the TikTok of Small Events (Link)
OpenAI-Backed Harvey Raises $100 Million to Transform Legal Tech (Link)

AI RESEARCH

AI's New Era: How Llama-3-Groq Models Are Shaping the Future

Source: groq

Llama-3-Groq-70B-Tool-Use and Llama-3-Groq-8B-Tool-Use are new AI models developed by Glaive.

These models are designed to improve function calling and tool usage in AI systems. They have achieved high accuracy rates and are available on GroqCloud™ Developer Hub and Hugging Face.

These models use advanced training methods to ensure high performance without relying on user data.

⭐ Key Insights

Top Performers:
- Llama-3-Groq-70B-Tool-Use: 90.76% accuracy (#1 on the Berkeley Function Calling Leaderboard)
- Llama-3-Groq-8B-Tool-Use: 89.06% accuracy (#3 on the same leaderboard)
Availability: Both models can be accessed on GroqCloud™ Developer Hub and Hugging Face.
Licensing: They are released under a permissive license, similar to the original Llama-3 models.
Training Approach: Achieved top performance using full fine-tuning and Direct Preference Optimization (DPO), without using any user data.
Benchmark Achievements: Confirmed high accuracy rates with minimal contamination through comprehensive analysis.
Hybrid Model Strategy: Recommends using a combination of these models with general-purpose language models for optimal performance.