"Code is cheap. Show me the talk." — nadh.in/blog/code-is-cheap
Software development as we knew it is changing. LLMs have made building easier — anyone can spin up a clone of anything. So what matters now? Ideas, marketing, go-to-market, and real-world problem solving. This sparked a discussion among Build2Learn's core members on where to take the community next.
- College students have no idea how an employee works inside an organisation
- Instead of random hackathon teams, group students with experienced folks
- Give them the actual experience of building within a team/org structure
- Pick hot topics (e.g., AI Agents) and discuss industry-wide patterns, problems, and practices
- Come up with solutions and publish them
- Goal: Produce something foundational that the rest of the world can use
- With AI, anyone can build — the differentiator is marketing and sales
- Devs need to improve their marketing skills
- Build2Learn should do more launches — both from organisers and participants
- Ideation sessions can be done online (Google Meet etc.)
- Invite people who have built successful SaaS products to share insights
- Cover the full journey: idea → execution → go-to-market strategy
- While other communities focus on tech-based speakers, Build2Learn should focus on product-based speakers
- +1 on the marketing/launches direction
- Suggested a GMeet to discuss further
- Code is no longer the moat — ideas, execution speed, and distribution are
- Bridge the gap between building and shipping (marketing, sales, launches)
- Real-world mentorship — pair students with experienced professionals
- Publish & ship — don't just build at events, launch and market what you build
- Product thinking > tech talks — speakers who've shipped, not just coded
Collected from Build2Learn core team discussion, 1-2 March 2026
Build2Learn model (come together and build) is gaining heat, not because the meetup model (talks/workshops) went bad, or people grew bored of it.
But, because these big giants want us to use/pay for their tools
Everything from Anthropic, google, openai to vectordb.
The whole ecosystem is pushing people to build using their platform.
Don't learn agent coding - use n8n
Don't learn Data engineering - use hex
Don't learn frontend/backend - use lovable
Build2Learn, at its crux, is to make people feel empowered, that they can crack any technology, create and learn something new in a matter of 4 hrs
Current State
• Make the coolest thing I want using AI in a matter of 4 hrs
• Learning(not technical)
What’s next?
From here, we can go in two directions broadly,
1. Like I said before, go deep, technically deep…. learn to debate process, methods, techniques, use case
2. Like @DSK Orangescape mentioned, make 'em all entrepreneurs. Help them ship, launch, collect money, and microsaas it.
But for the bigger question
1. What can we do that will contribute to nurturing the tech ecosystem/talent (people remembering build2learn between 2020-2024 was a sign we did well)
2. What will empower the engineers for what's coming ahead?
Once we think through enough on our own,
Let’s set up a call and do a vision/mission exercise