Ideas Architect, Product Manager & Marketing Growth Advisor. I work on SAAS, Products, Commerce & WordPress. Analyst for Investment Opportunities.

Thessaloniki, Greece
Basilis Kanonidis retweeted
We are releasing cf, our new command-line tool that mirrors the entire Cloudflare API and supports programmatic TypeScript configuration. We are also open-sourcing Forge, our internal SDK generator. cfl.re/3VECjml #BirthdayWeek
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Basilis Kanonidis retweeted
Over the last 5 years, I've used every social investing product -- but they all tend to fail in one key spot: Closing the gap between (a) your belief about the world and (b) how to express that belief with stocks. Mike reached out early in the summer and showed me @Supertake, which solves this problem in the most fun way possible: prompt with AI and it constructs a portfolio around your belief. With the declining cost of intelligence, we're going to see much more sophisticated investing styles emerge that was previously reserved only for hedge funds.
Introducing @Supertake, a new platform that transforms your unique takes on the world into real, shareable investment portfolios using frontier AI and trading agents. Supertake makes it easy for anyone to invest in their ideas, even if they know nothing about investing. 1/
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Doing with AI, what would take with WordPress a lot more time to do so. Not because it couldn't do it, but beacause it would really require much more time. MaterialsHub Agents, for #Construction / #interiordesign businesses.
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Basilis Kanonidis retweeted
👋 Meet Delta, an agent-first WordPress theme with built-in MCP. For the last couple of months we have been quietly building it, and now we are starting to share it. Agents create your site in HTML, CSS and JS. No page builder. No widgets. No wrapper markup. The agent is the interface. 🧵👇
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Basilis Kanonidis retweeted
Replying to @dhh
Yes, another level
Gave Opus 5.5 donald's prompt, Midjourney, and a moodboard 12 hours later, woke up to this:
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Basilis Kanonidis retweeted
Introducing Forge, a pluggable, open-source pipeline that runs in CI to generate SDKs, CLIs, and documentation directly from API definitions. By shifting generation upstream into individual team repositories, Forge keeps developer tools continuously in sync. cfl.re/4jsqgSY #BirthdayWeek
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Basilis Kanonidis retweeted
Wow
Gave Opus 5.5 donald's prompt, Midjourney, and a moodboard 12 hours later, woke up to this:
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Basilis Kanonidis retweeted
I'm very ready! And it's perfectly clear that no later than the end of this year, it'll be the end of the line for Photoshop, Lightroom, and any other client-side program like that. Agent-developed replacements are coming for all of it. Fast.
Lightroom replacement for Omarchy Compatible with Lightroom presets (VSCO Film) and adobe camera profiles. Catalog import also works already. A few more sessions and I should be able to convince @dhh to ditch his Lightroom mac mini.
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In the age of AI, what is ownership? "Ownership is really just association." People connect ideas with the person who talks about them most. When I was 17, I was one of the highest-ranked World of Warcraft players in North America. I repeated that fact 500 times. I had a reason. Gary Vee has said for 15 years that he wants to buy the New York Jets. Ray Dalio is a multi-billionaire financier Some finance creators have less credibility but more personality. They get bigger audiences than he does. AI makes infinite text. In all that text, your small life details make you different. Each detail you share is one more thing people connect with you and your topic. So write about your life: where you live, how many siblings you have, where you went to school, what your hobbies are. Then repeat each detail until your audience knows it.
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Basilis Kanonidis retweeted
curious if Jev-like models might accelerate us towards on-device AI native functionality on mobile devices strong LLMs are a long way from running on phones: - slow memory bandwidth - only highly quantized MoE models will fit - lots of issues with power/heat/etc Folks are building NPUs for the next gen of mobile but targeting pretty modestly sized LLMs There’s lots of mobile UX that would benefit from fast/cheap AI decision models - from notifications, typing/texting, to in-app experiences like inboxes/calendars/etc I always figured the other solution would be a model-on-a-chip that would encode an older-yet-useful model into the actual phone hardware itself, but maybe this will move faster?
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Basilis Kanonidis retweeted
We're excited to announce that today Python Workers are generally available (GA). It means Python is now a first-class, fully supported language on the Cloudflare Developer Platform. Read everything about it: cfl.re/4he07Gh
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Basilis Kanonidis retweeted
by now we’re used to: - frontier model launches - 6-12 months later, the chinese open weight models close the gap this week we’re seeing: - jev launches - a few days later, swarms of US AI developers ship their own open weight models :) tracking 2-3 early ones so far, but looks like some great open weight alternatives coming within the week I’m sure there will be some great chinese open weight alts for jev coming also
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Basilis Kanonidis retweeted
MCP vs CLI for LLMs is the wrong discussion. People are debating at the wrong layer. Both work incredibly well as long as they are run through a repl like environment that can persist state. The funny thing about CLI is that CLI tools are usually accessed through BASH which happens to be a repl with persistent state (the file system), therefore cli works much better than mcp. But this isn't even close to being an intrinsic property of MCP. Just means that we need better harnesses. Right now the best repl for this are: - bash + fs - jupyter kernels - codemode type repls, usually quickjs LLMs understand the concept of forward evolving a system to solve a need very well. This comes from the agentic RL. They understand how to change the state of a codebase or acquire data from databases and then operate on it similarly to humans. But without an execution environment, they actually cannot do this properly. My bet? Sometime soon someone will (or has already?) create a embeddable, sqlite style mini execution environment that parses bash, typescript, or tool calls into a common IL execution plan that's easy to security check before executing. And design this specifically for durable execution environments. Then we will just connect cli, mcp, webmcp, whatever to that and it accepts any of the input modalities as they can all be represented as each other.
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Basilis Kanonidis retweeted
I recorded a 41-minute tutorial on how I use Astra to create insane three.js websites in Codex. I've been using DiffUI to brainstorm UIs before moving into code. It's fast and cheap, generates multiple variants and lets me branch ideas, sections, logos, and other components. Then I use "Copy for agent" and bring everything into Codex where I add transparent PNG layers, animations, and three.js skills. Live sites: cardgame.mengto.here.now renaissance.mengto.here.now 3D skills: github.com/MengTo/Skills Get $20 in credits on DiffUI: diffui.ai/?invite=inv_6ca449…
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Basilis Kanonidis retweeted
There are so many seasoned software executives who are completely out of their element with the types of products that will breakout in the next few years. Over the last 20 years, their brains were wired to build apps that deliver value by outputting deterministic results, but AI produces value from probabilistic results. This is such a different way to approach how something should work. Young people who are thinking in this way from the outset will be at a significant advantage -- in the same way they were advantaged when thinking about how products could be social in 2010.
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Basilis Kanonidis retweeted
Jev is going to change the prosumer/consumer AI landscape by unlocking a specific thing: Ad-supported + free AI native apps this is going to usher in a generation of new AI-native marketplaces, social networks, photo apps, messaging, calendars, email, collab tools, and much more. Why? Previously, if you wanted to have an AI-native app with multiple/fast LLM calls on every screen, the math just didn’t work - inference costs just couldn’t be paid back from throwing a few video ads or affiliate links. So there were really just two solutions: 1) be a massive company and subsidize AI costs 2) charge a subscription fee to cover inference (or both) So what happens when you take a different approach that’s looks to be, initially, >400x cheaper than a more general LLM? I think it means that app developers are going to make their apps smarter and different in interesting ways. It won’t be as generically powerful as LLMs, but instead folks will create highly differentiated point solutions. You may not have a generically powerful virtual admin to schedule all your meetings, but you may have a free/ad-powered assistant that can comb through your inbox, filter for only important emails, figure out important dates, prioritize contacts, and do other interesting 80/20 work. Same for generically powerful virtual companions, or app builders, etc - it may be that we can hybridize the LLM and future Jev-like models that adds “wow” features at 1/1000ths of the cost, to make the economics work. If folks hear of interesting new apps/interactions/etc built on Jev, I’d love to hear it!
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Basilis Kanonidis retweeted
Lose the attitude, embrace optimism. Doctor's orders!
Repetitive negative thinking is linked to Alzheimer’s protein buildup in the brain.
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You can now run your localhost, to the web: try.cloudflare.com/ You can also run w/e hackish stuff you want , from local to web, anonymusly.
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Basilis Kanonidis retweeted
30 g of 85% dark chocolate daily for 3 weeks reduced negative mood and increased gut microbial diversity.
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