We (as in I) have been finding loads of success on this front. So many traditional hardware tech companies that positioned themselves up for cloud now need a compatible FDE to develop their AI strategy.
Solid market in Mexico/Colombia. Pay is nearly the same with less competition, and so much willingness to adopt and scale.
Future is bright 💯
Might give away a Kitted van (or 2+) for black friday. Anyone know a company that might want to get me a decent deal, better the deal more i can give away? Get a lot of promo and beats handing facebook ad dollars
@neerajjj6785 Terminal mostly except for feedback and creative tasks. idk what it is but Claude desktop with the same knowledge base is way more create than CC.
80% of the blockchain world went from being a cypherpunk resistance to just stablecoin corporate slop
Feels good to see at least 20% of us still care about building decentralized, permissionless, private solutions
@vineerpasam Been seeing this more on the TL. I’ve relied heavily on mongodb prior to vibe coding and ur absolutely right. Def some kind of bias ; my tin foil hat says supa is winning the game with LLM SEO
"Let’s plan the roadmap for next quarter” is the modern day equivalent of “let’s fax everyone the strategy.”
We're going into q4 planning and it makes my brain hurt. Roadmaps existed because software was expensive to build. You needed a bunch of people. Meetings. Someone moving little boxes around Jira for three months from now. It makes no sense and I'm trying to work out what we call the replacement. Maybe just "Continuous Compilation", ideas just compile to working product. I want a list of ideas that we want to continuously compile. That's the roadmap now.
The cheapest way to figure out whether something is a good idea is often to just build the fucking thing.
Here’s how I work now. I've done this weekly over the last few months and it works. My current napkin math is that I can usually build 6 months of old-school roadmap in a week. Sometimes more. I've also hit a wall sometimes. It happens.
When we have an idea, I usually 10x the ambition and then write a prompt, not more than a page long, that basically says:
- here’s the ambitious goal
- here are a few use cases
- here’s roughly how I think we should build it in terms of where it fits into code base, design considerations, etc..
- here’s how we’ll know if it actually works
- now go fucking surprise me
Agents build all night. Not even with a crazy factory or complex agent or agents. The base models are just too good for that now.
In the morning I look at it. Ok, they usually build in a few hours. Usually some of it is great. Some of it is stupid. Some of it exposes that my original idea was wrong.
And almost every time it gives me 5 new ideas I couldn’t have planned upfront. So we throw shit out. Who cares? We learned something.
Then we change direction and send them off again. It usually takes 3 rounds before the shape appears and we've learned about the gremlins and possibilities.
95% of the time I end up building something with 10x the scope of what somebody had carefully spread across the next quarter in Jira.
“What should we put on the roadmap for next quarter?”
My brain now translates that to: “Oh, you're stuck in the 1500s”
In 2 years there will be two kinds of people: those who use AI & those who run it.
Here's how to be in the second group:
1.) Stop asking. Start delegating.
- Don't ask "how do I do X?"
- Say "do X, here's the context, here's what done looks like"
2.) Give it context not just a prompt
- Paste your notes, your code, your past examples
- Generic input gets you generic output
3.) Make it think before it answers
- "List 3 approaches, pick the best one then explain why"
- The answer gets better when it compares options
4.) Use agents not chats
- Claude Code, Codex and Cursor can run tasks while you sleep
- The top 1% wake up to finished work
5.) Save your best prompts as reusable skills
- Build once, reuse forever
- Your workflow compounds instead of starting from zero
6.) Use the right model for each job
- Fast cheap models for small tasks
- Frontier models for hard thinking
- Loyalty to one model is costing you
7.) Make it argue with you
- "What's wrong with my plan?"
- "What would a senior expert reject here?"
8.) Make it teach you not replace you
- "Quiz me on this until I actually understand it"
- Faster output without understanding is a trap
9.) Automate one boring task every week
- Emails, reports, research, data cleanup
- 52 weeks later, half your job runs itself
10.) Connect AI to your real tools
- MCP connects agents to your files, calendar, GitHub and docs
- AI that can see your work is 10x more useful than AI that can't
11.) Check everything that matters
- AI is confident even when it's wrong
- The top 1% verify facts, numbers and code before shipping
12.) Build in public with what you learn
- Post what worked and what broke
- Most people consume AI news. Few share real results
The tools are free or close to free.
The advantage goes to whoever builds the habits first.
Bookmark this + send it to someone still using AI like Google.
I've seen 4 or 5 versions of this idea now: listening to music online with strangers.
Here's our take. A little low-poly listening bar where you dig through house crates and everyone in the room hears the same track.
Next up: back doors between everyone's rooms.
https://t.co/HVcLdSXrGy
Six months ago I almost quit game dev. Then I went to an illegal rave in a storm drain under LA at 4am and stood in the middle of 800 strangers with the bass shaking my ribs and thought: nobody has ever made a game that feels like THIS.
So I made it. Alone. In my bedroom. It's called AFTERS and you can play it in your browser right now. No download. No excuses. Go get lost in the haze. 🖤
https://t.co/hKMtVEbuju
Six months ago I almost quit game dev. Then I went to an illegal rave in a storm drain under LA at 4am and stood in the middle of 800 strangers with the bass shaking my ribs and thought: nobody has ever made a game that feels like THIS.
So I made it. Alone. In my bedroom. It's called AFTERS and you can play it in your browser right now. No download. No excuses. Go get lost in the haze. 🖤
https://t.co/hKMtVEbuju
I should know better than to post something like this. It's a note about risk management, and if there is one thing that the people in crypto either don't know or don't care about, it's risk management.
I maintain that most of the people in the DeFi space should be in prison. But this piece By Agio Ratings is particularly useful if you're a trad-fi guy who still asks 'what the hell is DeFi anyway?'
The output of the DeFi market is most often a variable rate, variable duration borrowing product whose degree of leverage is managed by third party consensus, and whose administration is managed by 19 year old engineerings students. It's as if someone decided that the best material for building low income housing was bricks made of C4 and dynamite.
But this piece is excellent. It's clear and lucid, and Ana De Souza and her team are right on the cutting edge of cutting through the BS and lies of an industry segment that loves nothing more, than BS and lies.
(I know Ana, but I am not a customer of her firm nor do I have any beneficial relationship with the company. I just think they're doing a great job.)
https://t.co/S1PyMbsMeK