geirfreysson

I'm a bit skeptical about sending all my code to a cloud-based LLM, so I built a command-line tool that does code reviews using local LLMs via Ollama. It can also hook into OpenAI if you prefer (that gives better results tbh).

I've also had fun piping the results into other command-line tools, such as Simon Willison's llm

"Actually, bitcoin is a nice reward too; it's like crystalized machine sweat!" Crystalized machine sweat - very good.

My other computer is a data center.

A very interesting eBook on growing user numbers. Warning: First you'll need a product and a trickle of signups to actually optimize.

Fair point - but the whole idea is to create a light-weight CRM system without the tabs (and indeed without deals, pipeline etc). We keep it lightweight enough to be wizard-friendly which means that it's usable without investing too much time in setup. And we still use a traditional CRM for rev. forecasting etc.

The log-in screen is sparse - that's true. We're getting a (possibly slightly biased) 30% conversion rate from it, so it does push people to give it a spin. Same idea as the Twitter landing page. What you get as soon as you log in is a wizard which takes you through the first steps to maximise the probability of engagement.

37Signals wrote a very interesting post on results from their A/B tests on the landing page for Highrise (result, the shorter the better) http://37signals.com/svn/posts/2991-behind-the-scenes-ab-tes...

That's a fair point. Customer segmentation can be overdone.

There was an interesting article on HBR about research Clayton innovator's-dilemma Christensen was doing into customer segmentation vs. a job-to-be-done approach (http://hbswk.hbs.edu/item/6496.html).

Once someone clicks on a link that calls out to them as a customer, you need to tell them pretty quickly what you can do and how you can do, i.e. what job you can help them do.

On brandregard.com we simply moved the discussion about features down one level, behind a customer segment link. We also discuss features in length below the fold on the landing page.

Starting out with x and ending up with 3x is is a 200% improvement. You think "threefold increase" should mean x+3x=4x?

I agree. We're pretty sure who are customers are, but there is a chance the unknowns could slip through. We might do another A/B test simply adding "brands" as one option since that's a customer persona, but very generic.

I like how Foursquare appeal to their customer personas, "merchants", "brands", "developers", without making it too obvious but still very findable.

Exactly! We're monitoring which customer persona gets the most clicks (with good old Google Analytics). Down the line we might even try 8-10 different customer types with A/B testing and see which ones attract the most clicks.

For anyone interested we used A/B tests, powered by the seven_minute_abs Rails plug-in, to measure the results.

I'd be interested to hear about other people's experiments both with A/B tests and customer segmentation.

Fake Steve: "First of all, nobody seems to appreciate how goddamn hard it is to make an operating system."

From the Google blog: "[GOS is Chrome running] within a new windowing system on top of a Linux kernel"

So they're not building an OS from scratch. Did Fake Steve even read the post?

I know links about Michael Jackson might not belong here, but nice representation of data is always interesting ...

Also, check out the list of the most watched projects. Ruby and Rails seem to dominate there: http://github.com/popular/watched

That's totally true. I guess the lesson is that it matters who acquires you. If you can't go for the public, cross your fingers and hope your parent company won't do anything evil.

A lot of companies/founders aspire to be acquired. This is the downside of that. I have a lot of sympathy for Last.fm in this scenario.

Hackers forming a union? Surely, that would be like herding cats ...

Nassim Nicholas Taleb's "Black Swan" had some pretty good insights into the "unknown unknowns" of military combat.

http://www.wajapi.com/books/80

I counted the occurrences of the words "me", "my", "myself" and "I" in the article with a bash command:

tr -cs 'A-Za-z' '\n' < paul_carr.txt | grep -i -w -c "me\|my\|myself\|i"

Result: 82 out of 1858 words.

That's 4.4%, ca. 1 out of every 23 words.

The author is thereby scientifically proven to be on the very far end of the introspective scale.

Standing on the shoulders of giants. And cashing out.

I like this quote as well: I don’t want to hold 13-year-olds by the ankles and shake them until their allowance falls out of their pockets, but I do want to be sure that when their parents are thinking about a gift for them, the first thing that springs to mind is my latest $20-$25 hardcover.