ozten

William Burroughs on 1959 HN: I wanted to write Naked Lunch, so I took a pest control job.

Raining, misting. The plane may have been up in cloud cover when they looked and decided to enter the runway. Hard to judge the distance and trajectory of planes. Once the firetruck started moving, they may have seen it without time to gun it or back up.

> It would have prevented this.

Wow.

pijul clone https://nest.pijul.org/pijul/pijul

pijul log --hash-only > all_changes.txt

pijul unrecord --all

git init

``` for HASH in $(cat all_changes.txt); do pijul apply "$HASH" pijul reset # sync working copy to channel state git add -A git commit -m "pijul change: $HASH" done ```

git remote add origin git@github.com:you/pijul-mirror.git git push -u origin main

They should mirror on GitHub for marketing purposes

For me Bun’s dramatic entrance and the a lack of any Deno response that reached my attention effectively evaporated any interest I would have in switching my runtime. I’m already set with my tooling and hosting.

I’m building this for pay as you go agent first GoToMarket engine, but I wonder if I should offer fractional GTM services.

Hey HN — I'm Austin in Seattle, a solo technical founder with 20+ years of engineering experience and 4 years of biz/marketing. I've shipped a lot of software. Selling it has always been the hard part.

I see a lot of Indie Hacker / bootstrap founders follow the same arc: build something Your proud of, Google "how to find your first customers," get a wall of generic advice, context-switch between six tabs of ChatGPT conversations that forget everything by tomorrow, and eventually just go back to writing code because at least that feels productive.

I built Cantrip to fix this. It's a go-to-market engine — not a chatbot, not a consultant replacement, not an all-in-one platform that wants to own your stack.

What it actually does: You describe your product (paste a README, explain it in plain English, whatever). Cantrip builds a Context Graph — a persistent, structured map of your business: ideal customer profiles, pain points, value propositions, channels where your customers hang out, competitors, and experiments to validate your assumptions.

The system runs continuous gap analysis. No ICP defined? That's a gap. Competitors not analyzed? Gap. Channels identified but untested? Gap. Each gap becomes a prioritized opportunity with three options: let Cantrip research it with AI, get a context-rich prompt to use in any LLM, or fill in what you already know.

Everything AI-generated enters a review queue. Nothing is treated as ground truth until you accept it. The graph deepens over time — each cycle builds on the last.

What's technically interesting: Cantrip is agent-native from day one. Every capability is exposed as one of 17 MCP tools — cantrip_snapshot, cantrip_next, cantrip_review, etc. Any

MCP-compatible agent (Claude Code, OpenClaw, Cursor, custom workflows) can read and write to your Context Graph programmatically.

This means your coding agent can finish a feature, call cantrip_snapshot, discover no value proposition covers the new capability, call cantrip_next to find the gap, and surface it in your review queue — without you leaving your IDE. The Context Graph becomes shared state for multi-agent coordination, with human review as the trust boundary.

The daemon handles identity, auth, and credit gating transparently. Agents read .cantrip.json from the working directory — no project IDs as parameters, no auth ceremony. One API surface powers the MCP server, dashboard, and CLI with zero drift between interfaces.

Business model: Credits, not subscriptions. GTM work is bursty — intense before a launch, quiet for weeks. Credits match that reality. Every feature available from day one; credits unlock depth, not access. Reads are always free.

This is super rough around the edges but if you want to kick the tires on the MCP server or CLI, join the Discord and I'll give you some free credits if paying is a barrier.

I've seen some "Autonomous company" launches, this isn't that. Check out the FAQ...

I'd genuinely love feedback on the architecture, the MCP tool design, or the overall approach. What am I missing? What would make this useful to you?

Gas Town Wasteland is an elaborate growth hack for DoltDB

This is really great and important progress, but Lean is still an island floating in space. Too hard to get actual work done building any real world system.

Unserious people, in the most serious of positions.

The demo shows a bunch of manual stuff that humans shouldn't be doing.

Trust takes years to build, seconds to break, and forever to repair.

They are one of several memetic devices which keep Tesla’s stock price in orbit, untethered from reality.

This is the tragedy of the commons.

Regardless of open or closed models, the reason it is a net gain is that the cost of software production is collapsing and will trend towards zero.

Example: We can achieve more climate solutions (and faster) thanks to technological acceleration.

Generative AI is a major setback to OSS licensing. I've been on projects where we needed to do a "cleanroom" implementation and vet the team has never viewed the source code of competing products. Now in the gen AI era, coding agents are IP laundering machines. They are trained on OSS code, but the nuances of the original licenses are lost.

On the whole, I think it is a net gain for civilization, but if we zoom into OSS licensing... not good.

It doesn’t have to be different foundation models. As long as the temperature is up, as the same model 100 times.

Mobile RepRap (the ideal self-printing technology)

Why is AI limited to just a raw LLM. Scaffolding, RL, multi-modal... so many techniques which can be applied. METR has shown AI's time horizon for staying on task is doubling every 7 months or less.

https://metr.org/blog/2025-07-14-how-does-time-horizon-vary-...

A big problem for a when three AWS teams launch the same thing. Lowers confidence in dogfooding the “right” one.

Right. I have to be signed in to GOG to play Cyberpunk. That violates the spirit of the original commenter

The most common activation keys in a bundle are ... Steam keys.

Name a game distribution platform that doesn't do this. It will be a toy example like a zip file purchased off of itch.io or something.

I'm shocked at this price point. Once these robots can do valuable work, $20k is a no-brainer.

Are these used in practice? In what regions? In Seattle suburbs, I've never seen a crew wearing any kind of attached harness.

If I were 16, I would absolutely be designing traps for these things, which would either be passive or could be remotely activated.

There are a few fully automated wet labs and many semi-autonomous. They are called "Cloud Labs", and they will only become more plentiful. AI can identify and execute the physical experiments after using simulations to filter and score the candidate hypotheses.

Is this a commentary on NFTs?

Credit to The Onion for still putting out bangers [1] when irony is dead.

[1] https://theonion.com/trump-spends-entire-u-k-trip-trying-to-...

Frontier AI models and Coding agents are contributing to this calcification.

My preferred stack is SvelteKit, and I just maintain a markdown file of all the context needed to steer the AI towards the happy path with Svelte 5 runes, the Svelte flavor, etc.