HN user

kristianc

8,626 karma

Building:

Segment8.com - a full-stack competitive intelligence platform — from raw signal to finished battlecard, grounded in real win/loss outcomes. Capture competitive intelligence and win/loss data in real time, distribute to your team, and turn it into the battlecards and launch plans that win deals.

ChurnWire - a SaaS tool that connects to your Stripe account (read-only) and monitors subscription events for churn signals — it scores each subscriber by risk level and surfaces at-risk customers in a dashboard and daily email digest, so indie SaaS founders and small teams know who to save before they cancel.

ShowNotes - A native macOS app that displays floating cue-card notes (rendered markdown) visible to the user but invisible to screen-sharing software — designed for professional preparation during video calls.

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www.theregister.com 19d ago

Hackers shoveled snow for company, were rewarded with network admin access

kristianc
3pts0
twitter.com 2mo ago

Railway Currently Down

kristianc
8pts1
venturebeat.com 1y ago

Real AI agents solve bounded problems

kristianc
3pts1
en.wikipedia.org 1y ago

List of Films Considered the Worst

kristianc
2pts2
www.bloomberg.com 2y ago

Salesforce Signals the Golden Age of Cushy Tech Jobs Is Over

kristianc
6pts0
www.sleepbaseball.com 3y ago

Northwoods Baseball Sleep Radio

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4pts0
www.teletextarchive.com 3y ago

Teletext Archive

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2pts0
en.wikipedia.org 5y ago

Superhabitable Planet

kristianc
1pts0
techcrunch.com 5y ago

Monzo CEO departing the challenger bank, citing burnout

kristianc
2pts0
www.propublica.org 6y ago

Amazon’s New Competitive Advantage: Putting Its Own Products First

kristianc
7pts3
www.telegraph.co.uk 6y ago

Imperial Covid model could be the largest software mistake of all time

kristianc
13pts9
mobile.twitter.com 6y ago

NHS contact-tracing app relies on being open all the time

kristianc
1pts0
www.prospectmagazine.co.uk 6y ago

What The Economist doesn't tell you

kristianc
71pts67
journals.plos.org 6y ago

Evidence that parasite prevalence predicts authoritarianism (2013)

kristianc
139pts86
numinous.productions 6y ago

How can we develop transformative tools for thought?

kristianc
104pts44
type.method.ac 6y ago

KernType – A Kerning Game

kristianc
134pts36
www.businessinsider.com 7y ago

A false rumor on WhatsApp started a run on a London bank

kristianc
2pts0
www.cnbc.com 7y ago

Insys Therapeutics former executives found guilty in criminal opioid case

kristianc
1pts0
onezero.medium.com 7y ago

America’s Favorite Door-Locking App Has a Data Privacy Problem

kristianc
2pts0
www.axios.com 7y ago

Microsoft Is Winning the Techlash

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151pts153
www.theatlantic.com 7y ago

Influencers Are Abandoning the Instagram Look

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3pts0
qz.com 7y ago

What the sexist language used to describe Pinterest tells us about the company

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3pts0
www.bbc.co.uk 7y ago

How does it feel to be watched at work?

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1pts1
www.faculty.ucr.edu 7y ago

Do ethicists steal more books? (2009) [pdf]

kristianc
35pts17
ftalphaville.ft.com 7y ago

Amazon (Sub)Prime – Part II

kristianc
3pts0
marginalrevolution.com 7y ago

The Internet vs. 'Culture'

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4pts0
www.theguardian.com 7y ago

Facebook flagged Christchurch video late because it wasn't a suicide

kristianc
2pts0
www.quickanddirtytips.com 7y ago

25% Can Create a Majority

kristianc
1pts0
www.bloomberg.com 7y ago

Amazon’s Alexa Has 80k Apps and No Runaway Hit

kristianc
152pts224
www.bbc.co.uk 7y ago

Mystery as Quadriga crypto-cash goes missing

kristianc
2pts0

To me, the "who manages the agents" shtick has the same grifty smell as “your developers are downloading from random Docker registries / random NPM packages” and "Shadow IT".

None of it is wrong exactly, but it feels like same enterprise-security machine finding the next anxiety surface than a "world is on fire right now" concern.

All of it always ends as a priesthood and a six-figure governance platform, rather than just taking practical steps to improve process.

ChatGPT Work 13 days ago

I just installed this. I am very confused. I no longer have a Codex app on my computer. ChatGPT is now Codex.

I ... hope we have an option for opting out of this? Otherwise I'm back on T3 Code.

GPT-5.6 13 days ago

They've discovered it's a good marketing strategy. Whenever there's an outage, or a new launch, there's often a reset with it, which helps keep people engaged with OAI / Tibo and reduces churn.

They've also introduced banked resets, which are really clever. If you have a $200/month plan and three banked resets, you're not churning because you will overweight giving up those resets (loss aversion theory).

GPT-5.6 13 days ago

Yes that's what I meant, the per token cost is higher but as you say the efficiency levels it out / works slightly in Codex's favour.

GPT-5.6 13 days ago

You can however for now use wrappers which are not harnesses such as T3Code though. They were going to cut under the Programmatic API, but have at least temporarily walked it back.

GPT-5.6 13 days ago

Codex has been good for a long time, more expensive but very focused on efficiency. Working with it feels faster and more to the point than Opus models and I trust it more with long-running jobs. Also regular resets vs being at the whim of Anthropic drama all the time is hella nice.

too often CEOs adopt designers like a pet

I've even seen a version where the designer is the CEO's daughter, which is the worst possible version of this pattern.

Claude Sonnet 5 22 days ago

There's two classes of models now - the cybersecurity ones that none of us are getting, and the 'safe' models released for general consumption. This is letting us know which side of the divide it sits on.

Sovereignty is mostly just a protectionist racket. European firms struggle to compete with dominant US platforms, framing industrial policy as "sovereignty" rather than protectionism just sounds more strategic and security-oriented. I've seen US platforms bend over backwards to meet the requirements and they still choose their preferred winner. Predictably the goalposts keep moving.

It's ad hoc / my own framework, just found something which works for me. The exact structure is

- Work Mode - HITL/AFK

- Problem Statement

- Who It Affects - Primary / Secondary User

- User Stories

- Business Case

- Why Now

- Success Critera

- In Scope/Out of Scope [Out of Scope v. important)

- Thinnest Slice (This I've found super valuable, means you max out the amount of 'product' for your buck and avoid diminishing marginal returns or overbuilding. Often I will build this)

- Eigenfeature - What is the larger feature we _could_ (but probably won't) which would solve for this use case and other stuff I might not have thought of

- Technical Notes

- Deps

- Schema Changes

- Risks

- Final Recommendation [go / no go, including on scope]

There's a note in my Claude / Agents MD which says no net new feature gets introduced without this and I get it to move through a pipeline of folders (active, approved, shipped, proposed etc). All runs in a system of MD files and have even created a little MD Kanban from the metadata!

I'm getting a lot of mileage out of basically acting like the AI's Product Manager, and insisting that it writes up short PRDs for every feature we propose to build. That gives it a reference over time of everything that has been built, but also makes it less liable to drift with each one. Each one gets its own conversation. For me this is a happy medium between stopping it going off the rails but also making sure it can reference past decisions when it needs to. The one thing I dislike about Pocock's method (not to use PRDs so much but to have an in depth discussion to get alignment) first is it wastes a lot of the best window on that initial back and forth.

If the UK were a US state, its GDP per capita would rank it roughly on par with or just below Mississippi, making it the poorest state in the union.

Siri AI 1 month ago

An alien landing on earth consuming Apple marketing content would be under the impression that humans did nothing but organise hikes to Big Sur with their friends.

It won't happen, for two reasons. One is that great deal of open-source software and hobbyist knowledge sharing has never been driven by financial reward anyway and people will continue to do it anyway. Finer grained controls over opt-outs would be great (the equivalent of a search engine 'nofollow' would be great and will hopefully come with time).

Many kinds of technology faced this kind of tragedy of the commons argument in the past and it never bears out. Printing presses copied manuscripts, search engines copied and indexed web pages, open-source software was incorporated into commercial products, Wikipedia repackaged knowledge produced elsewhere.

In almost all cases the total amount of creation increases because the technology lowered costs, expanded audiences, or created new forms of value. The speed of creation of new 'View Source' outpaces the number of people pulling back.

That's not what I said, I said I likely understand it less than a 635B parameter LLM, and that using the LLM as a shortcut to that knowledge is something I'd consider perfectly acceptable. I might even become better at it through using the LLM.

I'm sure I'm not alone in feeling the "deep expertise" OP laments was actually deeply inconvenient to many people. I understand that there's a good living to be made from knowing browser quirks, hand-rolling accessible components, mastering CSS specificity, but this is largely accidental complexity. More people building things is straightforwardly good, and if some of those things are slower or less accessible, that's a tradeoff people are entitled to make.

You can argue that abstractions hide consequences that fall on users who didn't choose them, but I'd argue back that LLMs likely have a better understanding of a11y conventions than I do as well.