ai + gtm + community @growthschoolio | top ai mentor 2024 @topmateHQ | top community mentor 2025 @ADPList
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🎊 Launch Post : GetOwl.ai
A close friend of mine, @sugammalviya , is finally launching his next product
Sugam is a serial entrepreneur and has been building products and companies for years, so whenever he starts working on something new, I pay attention.
This time, it’s GetOwl.ai and it’s live on Product Hunt today.
The idea is surprisingly simple:
Why should the same link send everyone to the same place?
With GetOwl, one link can behave differently depending on who clicks it.
India → India page
US → US page
Mobile → App Store
Desktop → Website
Plus A/B testing, analytics, branded links, link-in-bio pages and more.
Basically, making links smarter.
Have seen Sugam build this up close. Really happy to see it finally out in the world.
Go check it out, break it, roast it, and send him feedback.
And if you like it, show him some love on Product Hunt ❤️
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🎊 Launch Post : GetOwl.ai
A close friend of mine, @sugammalviya , is finally launching his next product
Sugam is a serial entrepreneur and has been building products and companies for years, so whenever he starts working on something new, I pay attention.
This time, it’s GetOwl.ai and it’s live on Product Hunt today.
The idea is surprisingly simple:
Why should the same link send everyone to the same place?
With GetOwl, one link can behave differently depending on who clicks it.
India → India page
US → US page
Mobile → App Store
Desktop → Website
Plus A/B testing, analytics, branded links, link-in-bio pages and more.
Basically, making links smarter.
Have seen Sugam build this up close. Really happy to see it finally out in the world.
Go check it out, break it, roast it, and send him feedback.
And if you like it, show him some love on Product Hunt ❤️
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Do check and upvote: producthunt.com/products/get…
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I'm 28
- Emcee & Host (some standup comedy in between)
- Built 3 education platforms to $10M
- Trained Gen-AI to 16M professionals
- Core community & growth person
Looking to connect founders & community builders
hi, I'm 21 :)
cofounder from Canada🇨🇦
looking to connect with more people who like building cool stuff!
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I'm 28
- Emcee & Host (some standup comedy in between)
- Built 3 education platforms to $10M
- Trained Gen-AI to 16M professionals
- Core community & growth person
Looking to connect founders & community builders
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Not every AI needs to generate text.
Diogo Almeida, who worked on InstructGPT + early ChatGPT at OpenAI, is building Jev.
The idea is simple:
Today:
→ Prompt an LLM
→ Generate tokens
→ Parse the response
→ Turn it into structured data
→ Take an action
Jev:
→ Give it an input
→ Get a choice, score, or probability
→ Take an action
Because sometimes you don’t need 200 tokens explaining a decision.
You just need the decision.
Potentially:
→ Faster inference
→ Lower cost
→ More predictable outputs
→ Better fit for agentic systems
Less talking. More deciding.
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI?
I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev
• 20-200x faster
• 40-400x cheaper (w/ output tokens free)
• Frontier composable intelligence optimized for decisions
AFAICT the shortest path to AI-based economic revolution
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79% of companies adopted AI agents.
11% run them in production.
That gap is a workflow design problem.
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Anthropic engineer just dropped the most important 30 minutes on how their team actually builds AI.
"Stop prompting Claude. Start building graphs."
Here's why: prompts run once. Graphs run forever, getting smarter, learning from failures, improving with every execution.
One runs. The other evolves.
Watch the breakdown!
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People keep telling me Claude Max quota drains too fast.
I came across a Reddit thread where someone measured it: lost 21% in just 7 minutes.
The comments section was flooded, hundreds of users experiencing the same thing.
But here's what I realized after reading through all of it: it's not the platform. It's how you're using it.
When you resume a session with 50K tokens of old context, Claude isn't just picking up where it left off.
It's re-reading the entire history again. That's how these models work.
Add sub-agents on top of that? Yeah. Your quota gets torched in minutes.
I've seen teams cut this in half with five simple changes:
👉Start fresh sessions instead of resuming
👉Hard cap context for sub-agents (25K max)
👉Run retries with throttling (2 attempts, not 5)
👉Use Claude only for architecture, dispatch implementation elsewhere
👉The 30-second heartbeat trick for long workflows
The teams stretching Max to 2-3 months instead of burning through it in a week all do one thing: they measure and set guardrails.
Most people just accept the drain and move on.
But if you actually look at how you're using it, the waste is everywhere.
What are some hacks you've actually tried to make your quota last longer?
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Everyone's talking about benchmarks of Opus 5.
Nobody's talking about what to actually do with it.
Here are 5 real work tasks where the upgrade shows up, test these this week:
Introducing Claude Opus 5.
It's a thoughtful and proactive model that comes close to the frontier intelligence of Fable 5 at half the price.
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Usecase 5: Work that used to justify the premium model price tag.
Opus 5 costs the same as Opus 4.8 but performs close to Fable 5 on most tasks. Basic Tutorials Germany
Same price. Meaningfully better output.
There's no reason to not switch today.
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The model releases are coming faster now.
Opus 5 is Anthropic's fourth Claude 5 release in under two months. Axios
The teams that win aren't the ones who track every release. They're the ones who test each one against their actual work and know exactly when to upgrade.
That's the only habit worth building right now.
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Microsoft's CEO just told every company on earth they're overpaying for AI.
Not by a little. By a lot.
And almost nobody noticed.
Here's what Satya Nadella actually said 🧵
Today, we are announcing a series of updates that give customers frontier-grade security at half the cost.
MAI-Cyber-1-Flash is our first cybersecurity model, built ground up to find the most challenging vulnerabilities in complex code bases. When combined with MDASH, it delivers world-class performance at 50 percent of the cost of leading models.
We are bringing this capability to market through Project Perception, a complete agentic security offering grounded in real-world signals and security workflows. Teams of specialized agents work together to simulate attacks, detect and triage/investigate, and fix and remediate.
This is the benefit of building the harness, context/signals, and action space separate from one model family. By combining specialized models and data with the right agents, tools, security context, and harness, we can advance the frontier of cost to outcome.
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8/ So ask yourself one question.
When your team uses AI all day, where does that learning go?
If it's not going to you, you don't have a strategy.
You have a subscription.
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