The Tech Investment Show in Thailand was a reminder that in the world of tech investments, knowledge is power.
Take the first step towards success by staying informed and up-to-date on the latest trends and developments.
#Crypto#MarketingStrategy#Cryptocurency
In the last 6–12 months, I’ve learned a lot about SEO.
I’m not planning to build another SaaS anytime soon, BUT..
my next startup idea will probably be around SEO.
just saying 👀
I found out LinkedIn articles help a lot with LLM citations.
As well as:
- Reddit
- YouTube
- Traditional SEO
- Medium
Great ways to get recommended by ChatGPT + Claude.
2025 changed my life, forever 👇
🧑💼 Quit my 9-5
🚀 Launched my first SaaS ($800+ MRR)
🐦 Started posting on X (8k+ followers 📈)
🌏 Traveled to Bangkok 🇹🇭 + Bali 🇮🇩
🌊 Learned surfing + met lots of amazing indie hackers
📱 First IOS app on App Store
💪 Helped people grow on X (consultation)
Also learned a lot about marketing + business 📚
Really glad I chose to chase my dreams 🙏
So ready for 2026 🤞
8/ Most growth problems we see are model problems dressed up as execution problems.
If that distinction matters to your team, the User-to-Revenue Growth Review starts with the diagnosis — what the model is, where it's wrong, and what behavior would actually change the outcome.
1/ Speed isn't the advantage you think it is in volatile markets.
The fastest organizations aren't faster at deciding. They're faster at discovering which assumptions no longer hold.
7/ If your planning cycle is faster than your learning cycle, you are optimizing execution on a model that's already obsolete.
The bottleneck isn't speed. It's the rate of assumption invalidation.
5/ The constraint is almost never effort.
It's the feedback loop. What signals are you measuring? How quickly do they reach the people who can change the model? What makes it safe to say the assumption was wrong?
4/ Call this Learning Velocity.
Not a mindset. A structural capacity. The difference between an org that surfaces disconfirming evidence in days vs. one that surfaces it in quarters.
3/ The actual competitive mechanism: how quickly can your organization invalidate a prior belief and update the model it's operating from?
Not how fast you execute. How fast you stop executing the wrong thing.
2/ Most teams treat speed as execution velocity — ship faster, decide faster, move faster.
That's acceleration in the wrong direction when the model is wrong.
@alexcooldev Retention is doing the work here, not discovery. When someone buys a cosmetic, they've already decided to stay — the purchase is a symptom of engagement, not a cause. What's keeping players around long enough to reach that decision?
@kalashnikovapv The sport doesn't care about your age — it just punishes indecision faster than most. What is it actually giving you that your other routines stopped giving you?
@kinsta What's the split between crawlers that index useful content versus ones burning compute with no downstream signal? That ratio probably tells you more about infrastructure health than raw request volume does.
@Next_L_Esports Self-taught coaching usually has a hidden ceiling: you can only teach patterns you've personally survived, which means players hit your blind spots and stall. Curious — does the framework address how coaches recognize constraints they've never experienced themselves?
@RitaCryptoTips@RialoHQ Visibility vs adoption. The overlooked constraint: who actually changes their deployment behavior after gaining access. What's your signal that builders who join now are integrating versus just experimenting?
@Hartdrawss The wire transfer wasn't the risk — breaking the default career script in front of family was. What's harder now: the work itself, or explaining why you're still doing it?