Organize! Group up and ship more often/more complex. Throw away what doesnt work. Sponsored ads on what does. Make games and apps. become indie hacker platforms.
I'm seeing a trend here of declining revenue and traffic with indiehackers
On my own projects too
Maybe big VC products too but I wouldn't know cause they don't share revenue
To me it seems clear BigAI is cannibalizing everything that used to be apps
Not bad btw, just times are changing and we have to adapt
I miss when tech Twitter had non AI topics. Somebody go on a 20 tweet thread SRE rant. What's the new observability hype. Something other than these damn robots please ‼️‼️
breaking up with claude code today after 2 years, downgraded from max cause $100 felt not worth but they taking fable out of pro so now I gotta break it clean. you were a good robot. Codex, you got big shoes to fill
@GergelyOrosz A goal an agent writes something against, with criteria to check the result until it fufills the goal. Can also be multiple agents working together. It's a dumb name, loop engineering is what agents already are.
Following the amazing reaction to the Marble Curriculum yesterday, we've decided to make it open source 🛰️👇
Everything a child learns in primary school. 1,590 concepts. 3,221 connections across 8 subjects, from Math and Science to Computing and Life Skills. Anchored in the US and UK curriculums, standard by standard (NGSS, Common Core, DfE).
What you will find in the repo: every concept as structured JSON with its age band and the evidence a child must show to master it. Every prerequisite link marked hard or soft, with a written rationale. It's a true DAG you can compute learning paths on. Open license, you can build whatever you want with it.
Now is a unique time in history to be building in education. Getting AI and kids education right is likely one of the hardest and most important problems to crack over the next decade and we need as many smart and creative minds behind it.
We think a common solid basis, accessible to all and that can be built upon, is critical to move fast. That's why we're making this curriculum open source.
It's not perfect but we know it's a robust basis, and we believe that sharing it openly is the fastest way to progress in this field. If you're building in education, share this around you and tell us in comments if you find this useful and if you want to contribute.
We'll keep working and investing on it @withmarbleapp. Credit goes to @guillaume_boni for building this. I just made it look pretty.
Links below 👇
you never forget your early believers because early belief is expensive af.
there’s reputational risk, financial risk, social risk, etc. there’s roughly no proof, no consensus, & no obvious upside. the early believers have to see something way before the market has agreed it should exist.
whereas late belief is absolutely free. this is where you see pure bandwagon & trend following stuff. this rule applies to business sure, but maybe even way more to personal stuff.
If you want to understand the difference between human-created art and AI-generated slop, watch this talk.
It's about the design process behind Charli XCX's cover art for "brat", but the designer spends the first 20 min telling his childhood story.
It feels random at first, until you realize he could not have created what he created without those lived experiences and obsessions.
Art is the culmination of one's lived experiences, whereas an LLM's output is a statistical average of its training data.
"As a designer, our real work is not in the actual design itself, but in collecting ideas, being inspired, seeing other things and taking it into your brain. That's the work.
The work is not spending time on the computer trying to get the thing right. THE WORK IS EXPERIENCING, taking it all in, and consuming media and content to the craziest degree."
(highly recommend watching the whole thing, link below)
Every time you think you need a dashboard to look at data, stop yourself.
Do this instead:
1. Ask your agent to make sure that you have all the data to analyze something actually stored in the database.
2. Ask your agent to write a skill to gather that data.
3. Ask your agent to do the analysis and create a temp and throw-away HTML dashboard to answer the question(s) that you have
In my experience, every dashboard that I've created gets less and less use over time and decays.
It's much better to make sure your agent can get the data you need and answer the questions you have, on-demand.