Aakash Gupta Profile picture
May 24, 2023 11 tweets 5 min read Read on X
Is this Google's most genius strategy yet?

Big Tech 101 has always been to steal the best product ideas built atop your platforms.

But kneecapping Calendly under the guise of security takes it to a whole new level 🧵 👇 Image
What was the secret sauce of Calendly?

It was the easiest meeting booking experience out there.

Meetings, once booked, were automatically added to your calendar.

It was magic.
This new feature from Google completely ends that magic.

By not automatically adding the meetings to your calendar, Google is causing missed meetings!

It's especially brutal if you don't have time to open the email.

I myself have missed meetings from for this reason 🤦
Why is Google doing this?

To support Google's newly released paid competitor to Calendly - Appointment Scheduling.

At $9.99, it's the same price as Calendly.

So Google has gone from competing on price (free) to going for money.

As a result, it can't afford to have a soft GTM.
The genius of what Google has done is they have put this block to users under the guise of security.

Google showed this screen to you a few weeks back.

Remember it?

If anything, most of us thought it was about competing vs Apple on privacy.

No one tied it back to Calendly. Image
The traditional example of Big Tech 101 is something like the flashlight app on iOS.

Apple added flashlight to its OS, but it didn't actively block the flashlight apps.

There was a flashlight app that 1/3rd of Japan had downloaded.

It got totally wiped out. Image
But Google is taking 'wipe out' to another level with this active blocking of Calendly.

It's gone ahead and wiped out the scheduling experience for prominent companies like:

· Calendly
· ChiliPiper
· GoodTime

And a host of other VC-backed startups:
This may actually be a regulatory risk for Google (as @michaelglena highlighted).

It's a particularly egregious form of using their free Google Calendar product to crowd out other scheduling tools.

The FTC or Justice Department could get involved.

From the FTC website:
And if there's anything that's characterized post-layoffs Sundar, it's bold bets.

So he could've gone bold here.

But - honestly, I expect him to have taken every effort to minimize legal risk in the details of this launch.

He was a PM after all.

Some of the things I have noticed in his details to minimize legal risk:

1. Not selectively targeting Calendly
2. Keeping Google Calendar free
3. Making it “1 click” friction

All of these things should help.

They certainly helped Google in many other suits under Sundar.
So - the likely scenario from 1 year from now is the the appointment market will begin to look like browser market.

With Google Chrome replaced by Google Appointment Scheduling.

(Don't forget - Sundar was the original PM on Google Chrome.) ImageImage

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More from @aakashg0

Oct 29
DUOLINGO COULDN'T TEACH ME HEBREW IN 2 YEARS

ChatGPT did it in just 3 months.

Here's the exact 8 Prompts I used:
1. Adaptive Daily Lesson Builder

"You're my personal Hebrew tutor. Build me a 20-minute lesson for today based on my current level [beginner/intermediate/advanced]. Include: 10 new vocabulary words with context, 1 key grammar concept with 3 examples, and 5 practice sentences I should translate. End with tomorrow's preview."
2. Real Conversation Partner

"Let's have a 10-minute conversation in Hebrew about [topic: weekend plans/work/hobbies]. Start each response in Hebrew, then add English corrections below using this format: '❌ You said X → ✅ Say Y (because Z)'. Adjust your Hebrew complexity to match my responses."
Read 9 tweets
Oct 26
In product management, not everything is straight forward maths, or solvable by AI.

Yet, some PMs still make better decisions most of the time.

How?

That's product sense: Image
"The ability to find the right solution for the user and business, despite limited and ambiguous information."

I love this definition from @Sid Arora.
You start with the PM process:

1. Take a vague & ambiguous problem statement
2. Create, or clarify the overall goal
3. Identify all users in ecosystem
4. Pick 1-2 users
5. Identify major problems of the user
6. Select the problems to solve
7. Brainstorm for solutions
8. Select the highest ROI solution
9. Build and deploy the solution
10. Measure success / collect feedback
Read 12 tweets
Oct 22
You should vibe code a PM portoflio.

Only 17% of PMs have a portfolio.

So you should differentiate with one.

Here's how: Image
1. Headline

This is the most important part! You want to describe your unicorn candidate-market fit. This is your opportunity to make a bumpy career look like a straight line to a sector of the market.
2. Navigation

The beauty of a website is you can add layers. Add in followup pages to deep dive into your experience. Link them. Add in blog & podcast appearances too.
Read 12 tweets
Oct 21
ChatGPT is just the tip of the iceberg.

PMs should use 10 buckets of AI tools: Image
DISCOVERY

1. Prototyping
Yes, this is an amazing PM use case.

Tools like Lovable, Bolt, v0, Magic Patterns, and Base44 are great for improving your discovery work.

🔗 Guide: news.aakashg.com/p/ai-prototypi…
2. Customer Intelligence
These aggregate customer insight everywhere.

Tools like Dovetail, Enterpret, Unwrap, Monterey, and Sprig make knowing your customer easier.

🔗 Guide: news.aakashg.com/p/ai-customer-…
Read 12 tweets
Oct 15
Product discovery is the no. 1 skill for PMs.

Here's how to use AI to 10x your discovery: Image
𝗦𝗧𝗘𝗣 𝟭: 𝗔𝗜 𝗠𝗮𝗿𝗸𝗲𝘁 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲

Market analysis used to be a lengthy, research-heavy process that often required access to paid reports.

Now, replace that with:

a. Market sizing by Perplexity
b. Validation with 3 expert calls
c. Synthesizing sources with NotebookLMImage
𝗦𝗧𝗘𝗣 𝟮: 𝗔𝗜 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲

Build an AI customer intelligence system like that provided by tools like @hiDovetail.

These aggregate all your:

• 1000s of support calls
• 100s of app reviews
• 100s of sales calls
• 10s of interviews

AI customer intelligence tools are as important as AI prototyping tools. Deep dive: news.aakashg.com/p/ai-customer-…Image
Read 9 tweets
Oct 6
This guy literally builds n8n AI Agents with 1 prompt Image
I'll share the prompt in a second but here's why it works:

1. Context Dumping Done Right

Most people give AI a vague idea and wonder why they get vague results. This prompt dumps everything: use case, data sources, outputs, integrations. The AI gets your entire ecosystem, not just fragments.
2. Production-Ready From Day One

The magic words: "error handling," "retry logic," "data validation." This gets you workflows that survive real-world chaos, not Frankenstein prototypes held together with hope.
Read 12 tweets

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