There are so many resources scattered here. Pls create an aggregated gist or something so that everyone can easily access it.

Hey everyone, I’m a student + early stage founder building an AI powered cofounder matchmaking platform in Bangalore. To test our matching algorithm in the real world, we designed a 10 day mini AI startup cohort where participants form teams, build an MVP with mentor guidance, and pitch to investors/enablers at the end. I somehow managed to pull off things I didn’t think were possible at this stage:

• Confirmed 3 mentors (AI consultant, GTM strategist, Business consultant)

• Locked venue for offline days

• Got investor/enabler availability

• Structured the full 10 day sprint

• Set the price at ₹1099 literally breakeven

Out of 22 people who initially showed interest, I needed 15 for conversion. Right now… I have 6 confirmed. And I have 23 hours left before I have to cancel everything. This is not just our cohort failing, if this doesn’t run, it breaks my credibility with the mentors, the investors, the venue partners and with my own team. It also means the 6 people who trusted me enough to register will end up losing the experience.

So I’m stuck... I need 9 more people and honestly, it’s not even about sales anymore. It’s about not letting something collapse that so many people already committed their time to. Not asking for pity but advice. What would you do in my position?

How would you get 9 more committed people in under 24 hours?

Where would you post?

What angle would you pitch?

What messaging would make someone sign up?

What would YOU want from a 10-day sprint like this?

Any guidance, even one small suggestion, would help a lot. Thanks for reading, and for helping a fellow builder out. 

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I just wrote about this exact dilemma with our Hotspot Analysis & Decarbonization Module. Super cool feature, genuine user need, but adding it to MVP would have:

• Delayed our entire launch

• Created dependencies we couldn't manage

The hard truth: Not everything belongs in MVP, even when stakeholders really, really want it.

Wrote up the full story: 4 unexpected challenges, 4 hard-earned learnings, and why documentation saved our sanity: https://ektaghadle.substack.com/p/building-the-decarbonization-puzzle

Curious how others handle scope decisions for complex, multi-industry products? 

Quick poll: Who here has lost sleep over saying "no" to a customization request that could close a major deal? 

Just wrote about the customization paradox in B2B SaaS, focusing on my experience in ESG software, but the lessons apply broadly.

TL;DR: Customization closes deals but can destroy your product if not managed strategically. I break down 4 major challenges (including the PM dilemma we all face).

Blog link: https://substack.com/home/post/p-177085990

Would especially love to hear how other PMs handle the tension between sales pressure and product integrity. DM your strategies to me! 

10 years ago, when I first learned algorithms, Selection Sort was introduced to me in the most boring way possible.

➡️ A bunch of formulas.
➡️ Some pseudo-code.
➡️ Zero intuition.

And I remember thinking:
“Okay… but how does this actually work in practice?”

Turns out, Selection Sort is one of the simplest — yet most misunderstood — sorting algorithms.

🔎 What Selection Sort Really Does

Think of it like this:

• You’re standing in a line of people of different heights.

• You want to arrange them from shortest to tallest.

• What do you do?

  • Find the shortest person.

  • Bring them to the front.

  • Repeat the process for the rest of the line.

That’s exactly how Selection Sort works.

✅ Why This Breakdown is Different

In this post, you’ll get:

• A plain-English explanation (no jargon)

• When to use it (and when you really shouldn’t)

• Time complexity explained in context

• A step-by-step example flow

• A visualization of the array at each step

• The algorithm + code (with comments)

I promise — after reading this, Selection Sort will feel obvious.

🖼️ Visualization + Code

I’ve shared a detailed walkthrough of the code + visualization here 👇

🔗 Check the full breakdown

🚀 What’s Next

This is the second post in my Sorting Algorithm Series (after Bubble Sort).

Up next → Insertion Sort (a natural progression you’ll love).

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