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28d ago

Tried a bunch of robot vacuums this year, here's the one thing most brands still get wrong

Been down a bit of a rabbit hole comparing robot vacuums over the past few months (two dogs at home, so cleaning is a daily problem, not a weekly one). And the thing that surprised me is how much the marketing focuses on one spec suction power while the actual dealbreaker for most people turns out to be something else entirely: the brush roll.

1yr ago

AI tools I'm using now

I was recently talking with a group of founders, and we went around sharing tools we're using now. Posting my notes for our community here - would love to know what else people are using!

Voice AI toolkit:

- Vapi

1yr ago

Biggest mental health struggles for founders today?

Would love to hear some honest answers so we can be here for each other. Just here to listen.

3yr ago

What’s the biggest trigger for your stress?

Deadlines and sudden change of plans

2yr ago

Do you work during the weekends?

I know some demand 100% off from work on the weekends. I usually have 50-100% work on Sunday or Saturday. WBU?

Throughput went up. My evenings got worse.

I build a product mostly on my own, with agents doing a growing share of the mechanical work. This year my output went up and my days got worse, and it took me a while to see why.

Automation ate the typing. It did not touch the checking, and it multiplied the number of things waiting to be checked.

Then I found telemetry that matches: Faros AI looked at two years of workflow data from 22,000 developers across 4,000+ teams. Task throughput per developer up 33.7%. Median time a pull request sits in review up 441.5%. Daily PR contexts per developer up 67.4%.

28d ago

Two of our customer sites served a byte-identical page for the first 60 seconds after deploy

We measured something today that I had never thought to look for, and I suspect most teams are not looking for it either.

Two of our customer sites, one a mechanical keyboard store and one a perfume store, came back after their containers were recreated. For roughly 30 to 60 seconds, both of them served exactly the same page. Not a similar page. Byte for byte identical, 281475 bytes on each. The title tag carried the name of a third brand entirely, and the canonical tag pointed at a localhost address on port 3000.

What's the biggest bottleneck preventing AI agents from production?

Everyone is talking about AI agents, but building a demo and deploying them in production are two very different things.

While building an AI agent orchestration platform, I expected prompting to be the hard part. Surprisingly, it wasn't. The biggest challenge has been making agents reliable enough to trust without constant human supervision.

For us, that meant experimenting with builder/tester agent pairs instead of relying on a single agent to verify its own work.

I'm curious what others have experienced.

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