apinstein

Here is the “internal” pattern language I started on “patterns for building software projects with AI”: https://github.com/apinstein/pattern-language-building-with-...

It’s mostly AI-written patterns based on my personal prompts/observations.

And here is the skill for organizing the pattern languages for a single project:

https://github.com/apinstein/skills/tree/main/skills/pattern...

I haven’t really battle tested these so hard yet but it’s a fun concept and really should get back to organizing them more intentionally. Happy to share this early phase just cause it’s cool to see the interest.

apinstein

11 日前議論

> The shared language of a software project is not English or Python but it is the common understanding of what its concepts mean, where the boundaries are, which invariants matter, who owns what, and why the system has the shape it does. This language is rarely written down in one place. It lives partly in documentation and code, but also in code review, conversations, arguments, and the experience of having to explain a change to somebody else.

This is so true. I am a big fan of Christopher Alexander’s “Pattern Language” concept, which addresses this exact problem! In fact he recommends developing your own pattern languages for your own domains (which of course led to the famous GoF Design Patterns book).

I have been experimenting with a “Pattern Language” skill which instructs the AI to maintain 3 pattern languages for every project. One in the business domain, one in the product domain, and one in the technical domain. It is working really well. It is always super cool to see it reference the pattern languages during planning and curate them during implementation and review.

I credit using it with keeping my 100% ai-coded projects well organized, aligned across domains, and easy to work on.

apinstein

13 日前議論

Exploring highly interactive instrument (piano) practice to see if AI can help students practice better. Full duplex voice agent alongside your practice session. Also exploring live AI jamming partner to practice playing with others.

apinstein

16 日前議論

Furniture isn't part of the property by default; only if included in the sale. So pics with furniture aren't a problem, unless you say it's included and you don't get what's pictured.

apinstein

16 日前議論

Codex.app is gone and merged into ChatGPT.app. The upgrade process was... messy... Codex's self-update just deleted the Codex.app w/o further instruction. And ChatGPT updater failed the first time while also bricking the prior installed ChatGPT.app.

Seems good/fine once you get through upgrading the app.

apinstein

25 日前議論

I mean it’s already fraud to do so today… you cannot misrepresent the condition of a property. I think the harm so far has just been wasted time and thus no standing for lawsuits yet.

apinstein

25 日前議論

It’s pretty much always been against the rules of the mls to use altered photos. Pre ai, people would sometimes get busted for making grass where there was none, or making walls with cracks a solid color. It’s not allowed to alter condition of property.

Staging and virtual staging (including sky replacement and removal of trash cans) are allowed so long as they don’t alter the true nature of the salable property.

I am surprised that AI hasn’t been policed more. Probably they just don’t have the ops for it.

apinstein

先月議論

You mentioned it at the end of your article that you should definitely think more about horizontal transfer. It basically lets any individual in a population install a runtime genetic package that can be shared between individuals. It can work extremely fast.

In the lab, we would combine in a gene of interest with an antibiotic resistance gene in a single plasmid and introduce it into a bacterial community. Within 48 hours the only individuals left alive will have the plasmid with the gene of interest.

apinstein

4 か月前議論

I am playing around with building my own similar and am faced with the question you pose.

How can you tell if your prompt process works? I feel like the outputs from SDLC process are so much more high level than could be done with evals, but I am no eval expert.

How would you benchmark this?

apinstein

6 か月前議論

I built https://www.chatmycal.com/

Ever get an email or handout with a massive schedule - in text, image or pdf - and you have to hand re-enter dozens of events? I built ChatMyCal to fix this.

Copy/paste the email, or take a pic and it will perfectly extract the schedule and publish it as a subscribe-able calendar. Then “transfer” it to the group admin and save everyone else from the same thing.

On the inside, it’s basically Cursor for calendars. So you can use AI to batch edit things, decorate with coordinated icons, add rules to apply to all events, etc. It can also develop full schedules like “make a monthly book club for zombie books” or plan a weekend foodie trip to Miami. Not sure all the best uses yet!

apinstein

6 か月前議論

While true, this either matters for you or it doesn’t. Classic Innovator’s Dilemma.

My EV gets only 230mi range at max, and I only charge to 85% which is like 190mi. But I do it at home and never have any range anxiety.

The trajectories for battery improvements indicate it is just a matter of time before those with larger range needs are addressed satisfactorily.

If you cannot slow charge at home or work, it’s a tough story, EV’s aren’t right for you yet, and that’s ok. Roll out of slow charging is less clear that it will be solved in a scaled way. I am not one that believes that 5-10m EV charging is a good goal, it’s very high power and likely not a good price trade off for the time saved. Current 20-30m will likely be the broad solution for those that want EV and cannot charge at home, though I think that’s not a very good solution.

apinstein

10 か月前議論

It’s not a hand wave…

The cost to serve a particular level of AI drops by like 10x a year. AI has gotten good enough that next year people can continue to use the current gen AI but at that point it will be profitable. Probably 70%+ gross margin.

Right now it’s a race for market share.

But once that backs off, prices will adjust to profitability. Not unlike the Uber/Lyft wars.

apinstein

11 か月前議論

Here's the play. It's very simple, and it's quite good.

Stripe processes a LOT of money. The customers that get that money need to move it around. Often to banks. Stripe makes no money on that.

Over the last few years, stablecoins have become a preferred means to hold and move money (for convenience, etc).

Stablecoin providers make money on their float -- selling stablecoins means you get free deposits, and risk-free rates are presently around 4%. For every $1M in stablecoins your customers hold, you can make $40k/year. Stablecoin providers like Circle pay about half of that back out to partners that sell the tokens.

Stripe is huge, and well-trusted by customers for handling payments. By adoption stablecoin infrastructure to control financial flows into stablecoins, they can amass huge amounts of stablecoin sales.

If even ~3% of their transaction volume gets held in Stablecoins, and they make 1% a year on that, it's about $1B a year in bottom line.

~$10e9 (daily avg vol) * 365 * 3% (converted to stablecoins) * 1% (net income) = ~$1B

apinstein

昨年議論

Oh wow, a bunch of Alzheimer’s grants at Columbia were canceled, including the Alzheimer’s Disease Research Center. Unclear if this study was affected…

https://taggs.hhs.gov/Content/Data/HHS_Grants_Terminated.pdf

apinstein

2 年前議論

There are so many things to control for… - compare to taxi / professional drivers - locations - times

Still a great nominal achievement but anytime a sponsored research study doesn’t even attempt to control for basic things it raises a lot of red flags.

apinstein

2 年前議論

hmm. I don't see why not optimize closing costs. I have done so on 4-5 mortgages myself. When sourcing your lending options, if you are a good borrower at least, you will have multiple options. I always asked for a full closing cost estimate and compared. Usually saved $2000-5000 through a combination of:

- effectively shopping around items like title insurance, appraisals, etc by pointing out differences b/c competing vendors - identifying BS items that are not even on all offers, and simply having them removed. people like to add bogus fee lines.

For sure doing this as lead-gen is great. Agree that there is a huge risk of uploading personal info -- in the future local AI's will be able to do this. In the short term, they should partner with a known brand to give credibility.

apinstein

2 年前議論

It’s fascinating how no one mentions that Trump didn’t pass comprehensive immigration legislation during his first term despite it being core to his platform.

This issue is a mess and has been kicked down the road for literal decades at this point. Maybe finally it will get passed…

apinstein

2 年前議論

I started and ran a real estate photography platform from 2004-2018. We started r&d on this in ~2016 when consumer VR first came out. At the time we used photogrammetry and it was “dreadful” to try to capture due to mirrors, glass, etc.

So I have been following GS tech for a while. I’ve not yet seen anything (open source / papers) that quite gets there yet. I do think it will.

In my opinion, there are two useful ways GS can bring to this industry.

The first is ability to use photo capture to re-render as a high production quality video similar to what people do with Luma AI today. While this is a really cool capability, it’s also not really that hard to do anymore with drones and gimbals. So, the experience of creating the same thing via GS has to be better and easier, and it’s not clear when that will likely happen due to how painful the capture side is. You really need good real time capture feedback to make sure you have good coverage. Finding out there’s a hole once you’re off location is a deal breaker.

The second is to create VR capable experiences. I think the first real useful thing for consumers will be so you can walk around in a small three or 4 foot area and get a stereo sense of what it’s like to be there. This is an amazing consumer experience. But the practicality of scaling this depends on VR hardware and adoption, and that hasn’t yet become commonplace enough to make consumer use “adjacent possible” for broad deployment.

I could see it being used on super high end to start out.

apinstein

2 年前議論

--- Founder / Technical Co-Founder / Exec Leadership / Head of Product ---

  Location: Atlanta, GA
  Remote: Yes, but prefer hybrid/on-site.
  Willing to relocate: No, but open to occasional travel.
  Technologies: 25 years of full stack work in C/C++/Obj-C/php/js/ruby and more. Data Science in R. Embedded, MacOS, iOS, Web (1.0, 2.0, SPA). AWS/GCP. Postgres.
  Résumé/CV: https://www.linkedin.com/in/alanpinstein/
  Email: please contact through LinkedIn

I am 3x exited founder looking to join an ambitious startup focusing on society-altering products. I am particularly interested in AI, biotech, and sustainability spaces.

apinstein

2 年前議論

The only fair way to analyze this is by looking at opportunity cost, which isn’t what TFA does.

Founders often have slightly higher market value (though not always) than first employees, so they are giving up more to go the startup route.

Separately, TFA further underestimates founder risk as they are typically not taking salary during pre-seed, and no or low salary during seed. However employees 1-5 typically get mostly cash, often much closer to market.

Thirdly, there is also often a lot more stress in being the founder. It is a complex, all day job. You have the weight of keeping things going for all employees, and when cash is low it’s your paycheck that gets delayed/cut first, not your employees.

That said I am all for reasonable early stage liquidity where it makes sense, but as many other commenters have mentioned, it tends to not be life changing super early for most early employees. Most employees would rather keep the bet on the table. Also, I am strongly against large founder secondaries. I think it’s helpful for founder to remain feeling “not financially successful”, especially first time founders, so that they keep their heart in the game. I followed this practice with my companies.

投稿

Easily expose your dev server to the public Internet (DIY localtunnel)

Hacking the USPS for fun and, um, fun.

How does this not exist yet? "Email Setup Guide" as a service.

Ask HN: Is Safari losing your sessions?

Ask HN: Should You Publicly Post Uptime Stats for a SaaS site?

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