Ever watch a YouTube tutorial and find the perfect explanation, only to lose it later? 😩
Been there!
I'm developing "SaveTube AI," an extension that links notes to exact YouTube timestamps, letting you jump to key moments without re-watching or searching endlessly.
Great for learners!
Releasing this week.
Check it out: https://t.co/w5xNdznBN8
Anyone who knows about agents is excited about building these systems and deploying them in production.
But very few are thinking about what it actually means to connect them to real enterprise systems.
Because once an agent can read data, call APIs, or trigger workflows, it’s no longer just assisting. It’s acting, and those actions introduce multiple kinds of risk.
From what I’ve seen, a few practices are starting to gain more traction than before.
- Keeping agents inside controlled environments where possible
- Using dedicated, least-privileged service accounts with tightly scoped IAM roles instead of broad access
- Limiting what tools and data an agent can even reach
All of the above form a safety layer that keeps an agent’s reasoning and actions away from direct access to company data.
If not handled properly, risks start to appear:
- Prompt injections can quietly change behavior
- Agents can expose sensitive data if boundaries are weak
So security isn’t just about restricting access or visibility. It also needs to be tracked.
You need visibility into what the agent is doing.
What it saw. What it decided. What it executed.
Without that, you only see the outcome, not how it got there.
We’re not just building intelligent systems without understanding the steps they take to reach certain results.
We’re building systems that can capture each step and track the behavior of the agent.
Reliable systems are no longer just scalable and fast.
They also need to be controlled, observable, and a little more careful by design.
99% of people TALK about AI.
1% actually BUILD with it.
Here is the GenAI Builders Community for the 1%.
Community help get ideas, plan, launch the product:
• Turn ideas into real GenAI products
• Go from prototype → launch
• Ship to marketplaces
• Monetize
No theory. Only execution
If you want to take your startup to the next level, stop consuming random content. Study from operators.
Here are top notch resources serious founders actually read:
Thinking and Strategy
• Paul Graham Essays
https://t.co/nOPmSZrczI
• Sequoia Founder Resources
https://t.co/mDrngISVOt
• a16z Insights
https://t.co/9bJULHwCsm
Product and PMF
• First Round Review
https://t.co/TeuhxVbL3J
• Lenny’s Newsletter
https://t.co/jPwQccOD8l
• YC Startup Library
https://t.co/PqM2yImDnX
Growth and Distribution
• Reforge Blog
https://t.co/xa24xSE4aH
• Andrew Chen’s Blog
https://t.co/2Tb6qSnt9m
• Demand Curve Blog
https://t.co/GtUidTllDg
Execution and Operator Level Thinking
• Stratechery by Ben Thompson
https://t.co/AYXAtwQQ9C
• The Generalist
https://t.co/NeTjDXn9yZ
• Not Boring
https://t.co/T3KRhgvcMu
Information is spread across the internet but in-depth execution will be only achieved by going in sequential order.
For more insights follow https://t.co/RtIz0LjdUC
Most startups don’t fail in some dramatic way.
They just slowly fade.
- Users stop coming back.
- Team loses energy.
- Founders stop talking about it.
And one day, it’s just over.
If you’re building, these are worth a read when you get time
https://t.co/OuGIOwxYEa
https://t.co/LpYCwuLhZb
https://t.co/pwlqOOchbh
https://t.co/Pqm73fgmcK
What do you think kills most startups
- No distribution
- No real problem or just bad timing
If you’re serious about building a startup in 2026, save this
Startup Guides
• Y Combinator Startup Library
https://t.co/PqM2yImDnX
• Paul Graham Founder Essays
https://t.co/nOPmSZrczI
• First Round Review Startup Guides
https://t.co/TeuhxVbL3J
Startup Programs and Accelerators
• Y Combinator
https://t.co/RSHXQ2uHO3
• Techstars
https://t.co/Clqjldj2uO
• Google for Startups
https://t.co/WhbvK3lpbt
• Antler
https://t.co/vFBsY7axVk
Funding and Early Stage Capital
• Sequoia
https://t.co/WQ2CgOcuHx
• Andreessen Horowitz
https://t.co/9bJULHwCsm
• Accel
https://t.co/pmkoSIS8f2
• Founders Fund
https://t.co/m3TcxPsB5r
Reality check
• Guides give direction
• Programs give exposure
• Funding gives speed
• Execution decides survival
If you are building an AI startup in 2026, save this
Top AI Startup Accelerators and Programs
• a16z Speedrun
https://t.co/LyB773o0Nx
• OpenAI Converge
https://t.co/1baXcf62uE
• Betaworks AI Camp
https://t.co/tT4zq17gcV
• Greylock Edge
https://t.co/efsunZCHcw
• Conviction Embed
https://t.co/vEPcwK5GFC
• Sequoia Arc
https://t.co/ikmXoRzYa0
• NVIDIA Inception (Great for AI infra and GPU ecosystem)
https://t.co/22igSrwnUX
• Google for Startups AI
https://t.co/WhbvK3lpbt
• Microsoft for Startups AI
https://t.co/80RguYZ5vn
• Hugging Face Community and Grants
https://t.co/DrTqC0uiTU
Early Stage and AI Friendly
• Y Combinator
https://t.co/RSHXQ2uHO3
• Entrepreneur First
https://t.co/mulHgFIjXJ
• Pioneer
https://t.co/EHwq77pwAd
For AI trending weekly updates follow https://t.co/RtIz0LjdUC
AI will create a lot of slop. In the end, the winners won’t be the apps themselves, but the ones with great customer support and strong management. Hard truth.