I ship one app to seven surfaces on my own: web, iOS, Android, CarPlay, Android Auto, Fire TV and Alexa. I did not plan that. Each one looked like a small addition to something that already worked, and each one turned out to have its own review queue, its own release cadence and its own way of breaking quietly.

Three things I did not price in. The first is that a platform you add is a platform you keep testing forever, and the failures are invisible from your desk. Both my mobile apps were locked to portrait, which meant they were phone apps pretending to be tablet apps for months. I only found out when I finally ran them on a tablet. Nothing was broken, nothing was reported, they were just quietly bad on a whole class of device.

In one of the newsletters I follow there is this quote. What do you think about it?

 Chatbots comply with the user s wish to solve the problem on their own, even when this is impossible and may make matters worse. Chatbots, in fact, are not built to help, but to please. If you feel flattered when your LLM tells you how smart your question was (I certainly do), you are not alone: a pre-print from 2025 found that all major LLMs were highly sycophantic.

When we displayed clear monthly and annual tiers right on our main landing page, our demo request quality improved almost immediately. Prospects knew exactly what to expect before hopping on a call, which made sales conversations much smoother for our small team.

How does your team handle pricing display for early prospects?

We ranked pages by bounce rate and found an anomaly. A page with a 71% bounce rate was also our highest-converting page at 22.4% to signup.

We assumed bounce rate was bad. It was not. That page answered a single question completely. People who came for that question got their answer and left satisfied. People who wanted more clicked through and signed up. The high bounce was a sign of a page doing one job well, not a page failing.

We had been treating all bounces as failures across the site. When we segmented by intent did the page answer a question or sell a product the pattern changed. Informational pages had high bounce and high satisfaction. Sales pages had low bounce and high conversion. We had been applying one benchmark to two different jobs.

We stopped reporting a single site-wide bounce rate and started reporting it per page intent. Content decisions got clearer immediately.

When I started I thought being stuck usually meant I needed to work harder. More research more hours more trying different solutions. But sometimes the real problem was a decision I kept avoiding. I d stay busy with smaller tasks because they were easier while the one uncomfortable choice kept sitting in the background. How do you notice when you re actually making progress versus just avoiding the decision that matters?

Ran into this again last week: client note round one says "make it punchier, cut faster." Client note round two, different stakeholder on the same account, says "it feels rushed, let shots breathe." Both notes are sincere, both people signed off on the brief, and now I'm the one holding two opposite instructions with a deadline in between.

My current rule is to go back and ask which note is closer to what gets shown to their boss, because that's usually the real constraint hiding under the feedback. But that only works if there's time to ask.

We spent two years writing super long guides for every edge case but users just ignored them and opened support tickets anyway.

Once we switched to ultra short one step answers with quick screenshots our ticket volume dropped right away. Turns out people just want a fast answer when they're stuck, not a novel.

Have you seen better results with short quick guides over long articles?

Think about what an agent session actually risks. It edits files in a working tree. If that tree was clean when it started, the entire session's damage is one diff you can read and one reset you can throw away. Branches cost almost nothing, so every task can live on its own one, and merging stays a human decision made after reading the evidence.

Underneath that sits the layer most people only meet in a crisis: the reflog. Every commit, reset, rebase, and branch move leaves an entry, kept for 90 days by default even when nothing points at it anymore. For a month or three, almost nothing an agent does to your history with everyday commands is actually gone.

We once had to defeat this on purpose: a clean-room experiment required one commit to be truly unfindable. Deleting it took five deliberate steps remove the remote, delete branches and tags, expire the reflog, garbage-collect, verify. Five steps to lose one commit. That's the strongest endorsement of a safety net we know how to write.

When we launched, we thought removing friction would give us thousands of signups. We got the signups, but 90% of them were throwaway email accounts that never logged in a second time. Our server costs went up, and our inbox was flooded with spam accounts. The moment we required a card upfront, overall signups dropped by 60%, but paid conversions doubled because only serious users were entering the funnel.

For early-stage SaaS, do you prefer high volume free signups or fewer, high-intent leads?

I work on articles where the numbers change after publication. A chart can be clear on day one and misleading a month later if nobody updates it. I'm also looking at how it reads on a phone.

For those who publish charts, do you use static images or live embeds, and what makes one easier to maintain?