jack of all creative trades | pointguard @thenotepadlabs
ai + web3
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- Followers 5,530
- Likes 139,655
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if you are tired of your websites looking vibecoded here are 15 UI resources you need.
1 - ui-skills.com - design playbooks for humans and coding agents. can be used to audit UI, fix generic AI design, improve motion, accessibility, and polish.
2 - coss.com/ui - a Cal.com’s production-ready design system. Accessible React components you own. Great for building real product UI without the usual SaaS look.
3 - designsystemchecklist.com - it's a practical design-system checklist that stops agents from creating random UI styles.
4 - reui.io/components -
1,000+ free shadcn components and advanced patterns like data grids, kanban, gantt, filters, and calendars. very good for complex product interfaces.
5 - kinetics.colorion.co - ready-made spring animations with CSS, React, and AI prompts.
6 - iconcreator.dev - free browser-based custom icon designer.
7 - vibeprompts.dev - 256 prompts for specific UI sections like dashboards, pricing, auth, onboarding, and hero sections. Give agents a concrete layout target instead of “make it look good.”
8 - animatedbuttons.colorion.co - 99 CSS-only button interactions. Copy the CSS or prompt. Good for keeping interactions consistent across your product.
9 - component.gallery - 2,600+ examples from 95 real design systems.
10 - designsystems.one -88 production design systems with tokens, stacks, and downloadable design(.)md files.
11 - utopia.fyi - generates fluid typography and spacing.
12 - open-props.style - ready-made design tokens for colors, shadows, radii, spacing, easing, and more. Stops agents from inventing random values everywhere.
13 - interfaces.rauno.me - checklist of tiny interaction details that make interfaces feel finished.
14 - bg.ibelick.com - copy-paste backgrounds for Tailwind and CSS.
15 - motion-primitives.com - reusable motion components for React.
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Some personal news, I got engaged yesterday (she said yes).
There's really no bigger joy than finding your life partner, nothing comes close, not even a big airdrop or a 100x on a memecoin (not that I've ever experienced one)
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every crypto project has the same quiet fear: the people holding the most tokens can sell them whenever they want.
@streamflow_fi's own foundation held 70% of the supply.
on sept 23, its wallet had 699,994,595 solana:STREAMribRwybYpMmSYoCsQUdr6MZNXEqHgm7p1gu9M in it.
in one transaction, the balance went to 0.
nobody sold it or got hacked. the team deleted it on purpose.
here's what that means 🧵🔻
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Day 13. Was on a call and decide to get creative.
Today was all about peace and serenity
Took a walk and did about 21k+ on @moonwalkfitness
How was your day ?
Tell me about it.
Day 12 was about house hunting
So I technically didn’t go for an official walk but I was able to achieve 10k+ steps on @moonwalkfitness
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levithefirst retweeted
Day 13. Was on a call and decide to get creative.
Today was all about peace and serenity
Took a walk and did about 21k+ on @moonwalkfitness
How was your day ?
Tell me about it.
Day 12 was about house hunting
So I technically didn’t go for an official walk but I was able to achieve 10k+ steps on @moonwalkfitness
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levithefirst retweeted
an AI just ran a biology experiment and found something humans hadn’t published before
not only did the AI read 60,000 pieces of yeast data.
it studied existing relationships between genes, proteins and other biological factors, then came up with approximately 2,000 predictions that could actually be tested.
a robot lab took those predictions and grew the yeast, measured what happened, and sent the results back to the AI.
even when an experiment failed, it didn't stop (one would think the AI system will receive a negative result and stop there)
but no.
it used the failure to go again
(AI is now resilient 💀)
one of those experiments pointed it to aminoadipate, a substance that helps yeast survive stress caused by formic acid.
AI can now
read → form a hypothesis → run an experiment → study the result → change the hypothesis → test again
at the moment we don't need to panic because humans still set the safety boundaries and controlled parts of the process.
but we know
nothing big thing starts big, it starts with baby steps.
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Google released a frontier model better than all of OpenAI models (including flagship)
but we can't use yet
here's my review.
1 → Gemini 4 Argon
- what Google said it’s for
long coding, enterprise work (legal, finance), cyber defense.
2 → better than the last public Gemini?
on paper, yes. first new Gemini frontier since 3.1 Pro.
3 → rank in its field
Artificial Analysis ~53, level with GPT-6 Astra and 5 points behind Claude Opus 5.5.
4 → worth switching from Sol or Sonnet 5.5?
only Fairwind cyber defenders can use it for now
5 → models still above it
Claude Opus 5.5. it's side by side with Claude Fable 5.1.
6 → price vs last Gemini Pro
price per 1M tokens is $2/$10 (input/output)
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levithefirst retweeted
"this is the endddddddd"
an AI just ran a biology experiment and found something humans hadn’t published before
not only did the AI read 60,000 pieces of yeast data.
it studied existing relationships between genes, proteins and other biological factors, then came up with approximately 2,000 predictions that could actually be tested.
a robot lab took those predictions and grew the yeast, measured what happened, and sent the results back to the AI.
even when an experiment failed, it didn't stop (one would think the AI system will receive a negative result and stop there)
but no.
it used the failure to go again
(AI is now resilient 💀)
one of those experiments pointed it to aminoadipate, a substance that helps yeast survive stress caused by formic acid.
AI can now
read → form a hypothesis → run an experiment → study the result → change the hypothesis → test again
at the moment we don't need to panic because humans still set the safety boundaries and controlled parts of the process.
but we know
nothing big thing starts big, it starts with baby steps.
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How it feels supporting OpenAI and GPT 6.1 sol against a whole army fleet of Anthropic and Fable 5.5 soldiers.
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do people just get tired and stop showing up or achieve generational wealth and retire?
My friend @kenpachey_eth haven’t been active for Months now,
I really hope he’s doing well wherever he is.
do you remember Ken?
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first $1k/day revenue achieved
also got a nice email from @marclou that my app is in top 5 quickest growing, yay (got to #2 actually)
got a few bumps along the way, but more on that later
first $1k revenue achieved
time to scale this baby up
p.s. finally cracked the upper funnel, half of these trials were started in the last 12h
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every other person is hitting 6 figures except me 🤧
I don't even want 6 figures, let's start with 4 first, I'm getting tired and frustrated
But I'm not quitting, I'll stick around long enough and win ❤️
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What a way to start the month of October. Win no 17!!!!🏆
I took third place at the @convex All Gas Hackathon, winning $2500
Huge thanks to the Convex Team for setting up this competition, it’s just day one..let’s do more🙏
The winners of the @convex All Gas Hackathon, sponsored by @OpenAI, @firecrawl, and @agentmail, are in!
convex.dev/hackathons/all-ga…
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an AI just ran a biology experiment and found something humans hadn’t published before
not only did the AI read 60,000 pieces of yeast data.
it studied existing relationships between genes, proteins and other biological factors, then came up with approximately 2,000 predictions that could actually be tested.
a robot lab took those predictions and grew the yeast, measured what happened, and sent the results back to the AI.
even when an experiment failed, it didn't stop (one would think the AI system will receive a negative result and stop there)
but no.
it used the failure to go again
(AI is now resilient 💀)
one of those experiments pointed it to aminoadipate, a substance that helps yeast survive stress caused by formic acid.
AI can now
read → form a hypothesis → run an experiment → study the result → change the hypothesis → test again
at the moment we don't need to panic because humans still set the safety boundaries and controlled parts of the process.
but we know
nothing big thing starts big, it starts with baby steps.
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