I see this pattern all the time with creators and small teams (and lived it myself):

You start with Google Docs + Google Sheets because:

• they re free

• everyone knows how to use them

• we ll switch later when it gets serious

Fast forward a few months and suddenly you have:

I work closely with product and growth teams, and one challenge I keep running into is explaining user drop-offs to people who aren t deep into analytics.

The data usually shows where users leave, but turning that into a clear, confident explanation without overloading dashboards or making assumptions can be tough. Especially when the audience is leadership or business stakeholders.

I m curious how others handle this in practice:

$300 MRR is actually surprisingly hard to reach if you don't have an existing distribution built. It took me 6 (quite difficult) months to get here.

Here's how I did it:

LinkedIn officially shared the job titles that started appearing more often, and with the rise of AI, the market is restructuring.

The actual top 10 roles that have seen the biggest rise in listings (in the U.S.) are:

1. AI engineers Engineers developing and implementing AI models that perform complex tasks

2. AI consultants and strategists - Helping organisations plan and implement AI technologies to improve operations

3. New home sales specialists Which sounds like a rebranding or real estate agent

4. Data annotators Labelling and reviewing data for AI projects

5. AI/ML researchers Designing new AI models and systems

6. Healthcare reimbursement specialists Ensuring healthcare providers are getting correct and timely payments

7. Strategic advisors and independent consultants Which seems like a pretty broad-ranging segment

8. Advertising sales specialists You re reading a marketing blog, I assume you know this one

9. Founders Not sure this can be listed as a job title in itself, but LinkedIn s keen to highlight how people are shifting to their own businesses

10. Sales executives

We often see launch posts, milestones, and success stories.
What we don t see as much are honest breakdowns of products that quietly stalled or failed.

I feel there s a lot of learning hidden there about timing, assumptions, and trade-offs.

We just wrapped the Orbit Awards for AI Dictation and now we re moving to the next category: AI Automation.

This one is for the tools that actually do work for you clearing chores, running workflows in the background, or quietly taking over a chunk of your week without turning into another dashboard you have to babysit.

At 15 I trained my first machine learning model and landed an internship at a U.S. company.
At 16 I launched my first startup and promptly ran it into the ground.
I learned more from that failure.

At 17 I launched Pleep, an AI sales rep that lets any business owner integrate AI into their sales workflow in under five minutes. Four months later I quit my job to work on it full time.

Why bother? I kept asking myself: Why isn t there an AI sales monopoly yet? My take: because most competitors deliver AI consultants that talk like robots and kill revenue.
We focused on building a real rep that:

• Doesn t ask you to prompt or pick an LLM you just tell us about your business and we do the rest.

• Talks like your top salesperson, not a bot.

• Books meetings and pushes data back into your CRM.

At 15 I trained my first machine learning model and landed an internship at a U.S. company.
At 16 I launched my first startup and promptly ran it into the ground.
I learned more from that failure.

At 17 I launched Pleep, an AI sales rep that lets any business owner integrate AI into their sales workflow in under five minutes. Four months later I quit my job to work on it full time.

Why bother? I kept asking myself: Why isn t there an AI sales monopoly yet? My take: because most competitors deliver AI consultants that talk like robots and kill revenue.
We focused on building a real rep that:

• Doesn t ask you to prompt or pick an LLM you just tell us about your business and we do the rest.

• Talks like your top salesperson, not a bot.

• Books meetings and pushes data back into your CRM.

On Product Hunt, I can see many people launching their products using "vibe-coding tools" like @Lovable , @bolt.new , or@Replit

I reckon many people who created something with them are usually developers who didn't have enough time for building a side idea before, but with AI, they could make it happen.