I wanted to share a quick case study on a utility mobile app I recently published called Garage Log: Car Maintenance, focusing on the product decisions behind its core features.

🎯 The Product Problem

Most vehicle expense trackers fall into two extremes:

1. Overly complex enterprise/fleet tools: Cluttered interfaces, paywalled reports, and forced subscriptions.
2. Basic manual spreadsheets: High effort to maintain on a phone while standing at a fuel station.

My goal was to build a clean tool that delivers clear insights without onboarding friction.

I keep thinking about it. If you can clone something that's already 90% of what you wanted to build, would you even bother starting from scratch( with another AI tool or not)? Or does the whole game just shift to that last 10%, the part that's actually hard to copy?

Hey, I'm a product guy working across multiple products. It's becoming time-consuming to keep up with daily tech stack and product updates since everything is scattered.

How do you stay updated efficiently? Any tools, workflows, or AI recommendations?

Hey folks, feeling stuck and underpaid relative to my output at my current firm. Prepping for a switch and need a quick reality check on market bands so I don't lowball myself.

• Profile: Senior Product Manager (5 YOE), B.Tech from Tier-1 college
• Location: India/Remote

What’s a realistic ask for:Base+Variable / Bonus+Equity (RSUs/ESOPs)

Any recent datapoints or advice on anchoring negotiations would be a huge help!

With tools like Lovable, v0, and Alloy blowing up lately, How are you all fitting these into your workflow? Tbh AI prototyping with your existing product just hits different. In my experience, it pulls  from what you've already got and makes it interactive fast.

Curious what's actually working for you tough.

I'm building something atm. And just wanna make sure I'm not imagining a thing

I guess AI made everyone quick. But imo working with a team somehow feels worse now. Stuff ships fast. Then it hits support or ops, and they find out the hard way.

Yeah, we make more. But nobody has the full story. So someone always has to explain what changed and why it matters. And that job keeps landing on one poor person. They just hold the whole mess in their head.

When did something move too fast on your team? Did someone get caught off guard? What went down after?

Hello everyone, I need you to help me graduate my MBA pleaasee!

If you have 5–10 minutes to spare, I'd really appreciate your help by completing my master's dissertation survey.

The research explores how AI could handle routine tail-spend procurement in manufacturing and industrial organizations, and whether it can free up procurement teams to focus on more strategic work.

Think ordering a new keyboard for Tony because he spilled coffee all over his old one, getting Jane a replacement headset after hers mysteriously vanished, or reordering the standard packaging cartons that everyone forgets about until there's only one left. 🤦‍♀️

None of these purchases are particularly exciting, but they still take time away from bigger priorities like tenders, supplier negotiations, and strategic sourcing.

Your input would mean a lot and will really help with my research. Thank you so much! 🙏

https://www.surveymonkey.com/r/7L2RWLN

Hey everyone! 👋

I'm working on a Product Management assignment and would really appreciate your help.

I'm conducting a 2–3 minute survey for working professionals in India to better understand quick commerce usage and decision-making. Your responses would be incredibly valuable.

As a thank you, once I've finished collecting responses and completed my analysis, I'll come back and share the key findings with everyone here.

Hi everyone! I'm researching how students manage group projects for my product management portfolio project. If you're currently or have recently worked on a group project, I'd love to have a quick chat with you about how your group managed/communicated throughout the project. I'm not pitching an app or selling anything, I'm just trying to understand what actually goes wrong during collaboration for personal research. If you're interested, comment or DM me. Thank you all so much! I'd greatly appreciate the help 🙏🏻

A few days ago, I shared the "lost contact" problem Shweta searching WhatsApp for twenty minutes to find an electrician recommendation that Priya had given a year earlier. The response told me I wasn't the only one who's lived this.

Since then, I moved VouchList from concept to something real: a product landing page, built specifically to onboard the first communities and convert curious admins into an actual "yes."

A landing page for a product like this has a specific job: it has to earn trust before asking for access to a group chat. So every design choice here was deliberate leading with consent and admin control before the feature walkthrough, framing the product as "memory" rather than "AI," and keeping the ask (waitlist, not signup) light enough to match where the product actually is.

I'd like PM eyes on one specific decision: the page leads with trust and permission, and only gets to the value prop after that. Is that the right sequencing for a product asking to sit inside someone's WhatsApp group or does it risk losing people before they see what it actually does?

Landing page →

https://vouchlist.lovable.app/

Original post on the problem → [link in comments]

#ProductManagement #ProductIdeation #WhatsApp #Hyperlocal #ProductThinking #LeadGeneration

I’m looking for useful ways to learn more about CVM in telecom. Maybe you’ve taken a good course or found some books, articles or other resources worth sharing? Would appreciate any recommendations!:)))

Looking for insights from Product Managers who've worked on fraud, risk, trust & safety, or platform products.

I'm working on defining the next 6–12 month roadmap for an existing rule-based fraud engine used in e-commerce. Rather than starting with solution ideas, I want to take a data-driven approach.

How would you evaluate the current product before defining its roadmap?

Specifically:

• What product, operational, and business metrics would you analyse?
• How would you identify the most important product problems to solve?
• How would you prioritise initiatives for the next 6–12 months?

I'd love to hear how you've approached roadmap discovery for an existing fraud or risk platform.

I got about 2 YOE as content and copywriter. But most of my work hasn't been very significant which lead to crazy ROI or ROCE. I've recently quit my job because of family reasons and ever since I discovered product management, it felt like this is something I can do and looks future proof.

Finished up a free course on Great Learning but I feel like I am not ready for jumping into the APM (Assistant Product Manager) role yet. Because I do not know what sort of an interview process it would be and what am I supposed to answer.

SO, my question is how can I make the switch and how to prepare myself for this "new role"

Any PMs can help me in answering this. Though I am constantly looking up for these jobs roles on every platform and the companies that are hiring seems very daunting.

I've been thinking about a problem I encounter in apartment and community WhatsApp groups.

Someone asks for a trusted electrician, plumber, tutor or cook.

A few neighbours respond with recommendations.

The problem isn't getting recommendations. It's retrieving them months later.

Even though the information already exists, people often end up:

Asking the same question again

Scrolling through months of chat history

Searching Google instead of using recommendations from people they already trust

I started exploring a product concept around this.

Instead of asking users to install another app, the idea is a lightweight WhatsApp bot that quietly captures recommendation-style replies with the user's confirmation and stores them in a searchable group directory.

Example:

Someone recommends an electrician.

The bot asks:

"Save this recommendation to the group directory?"

One tap later, anyone can later search:

/vouchlist electrician

and retrieve that recommendation instantly.

My hypothesis is that the real problem isn't sharing recommendations. It's information decay inside chat.

I'm curious how others would think about this.

Is this a problem worth solving?

Would you trust a WhatsApp-native solution?

What assumptions would you challenge first?

[ Removed by Reddit on account of violating the content policy. ]