AfricanFractal 🦇🔊

getsly.ai precisely solves for the Agents persistent identity and it’s reputation on-chain, to enable Trust value that fuels the #agenticeconomy 👌

@rauchg The biggest shift is on the behaviour change that incorporates agents as economic actors, enabling the autonomous future 💯#agenticeconomy

@RuncieDan @CliveDavis @TrapitalMedia Man I have loved the arc of your career from informative think pieces to documenting legends 🤌🏾🤌🏾🤌🏾🤌🏾

I sat down with the one and only, Clive Davis. He needs no introduction. Tomorrow, you can hear our conversation on Trapital. Listen wherever you get podcasts.

We're bringing the advisor strategy to the Claude Platform. Pair Opus as an advisor with Sonnet or Haiku as an executor, and get near Opus-level intelligence in your agents at a fraction of the cost.

Sly is at @HumanXCo this week in San Francisco. We give AI agents everything they need to participate in the economy. Sandbox is live. Sign up for the waitlist. If you're building agents that transact, come find us. getsly.ai #HumanX2026 #AgenticCommerce

@dmitricherniak Ooohh love this

Riffing on the hope

We are amused by the opportunity to join @Tempo in this hackathon! Sly fits exactly in the rails they created and we have already onboarded in 24hrs from launch: getsly.ai/partner....1

We believe Cursor discovered a novel solution to Problem Six of the First Proof challenge, a set of math research problems that approximate the work of Stanford, MIT, Berkeley academics. Cursor's solution yields stronger results than the official, human-written solution. Notably, we used the same harness that built a browser from scratch a few weeks ago. It ran fully autonomously, without nudging or hints, for four days. This suggests that our technique for scaling agent coordination might generalize beyond coding.

@jeff_weinstein @stripe This is us building an orchestration layer for agentic protocols that agnostic. We would love some advice 😬 getsly.ai

a SaaS company reached out to us after OpenClaw-style agents are sending ~50k requests per hour (wayyy above normal site usage). the company now wants to charge agents small amount for reads and writes with @stripe machine payments. if this is also you (or may soon be), say hi.

@mcuban Only holds while the token price is at this level. The rate of decrease in token prices makes this a very temporary problem. I suspect one generation of models

This is the smartest counter I’ve seen to ai taking over jobs, in the short term. Is the ((aggregate tokens cost to do what an employee does + plus fully encumbered developer and maintenance costs ) / (fully encumbered employee cost ) )<= productivity ? If it takes 8 Claude agents, at $300 for tokens, per day, plus $200 per day in dev/maint , to do what an employee does per day, at a fully encumbered cost of $1200. That’s 2600/1200. But then you need to factor in the productivity rate. Is it more than 2.16 x productive ? Are there qualitative issues like morale, morality, whatever , that can’t be quantified, that need to go into the decision? What is the going forward progression of burdened costs for the tokens ? Curious what people think about this ?

Agents funding agents using borrowed USDC. Wild.

@rahulluthra22 Done

@AfricanFractal Trying DMing. Gotta be following

Pitch deck design for founders & startups. → 27 slides + figma file + font file → Comment on the post and I'll send it to you → Must be following so I can DM

@felixhhaas AI deck

I one-shotted a full slide deck in Lovable 🔥 A lot of founders still build slides in PowerPoint. But with AI, that feels super outdated tbh. Why would you build a powerpoint deck if you can build an interactive app that’s responsive, smart, and adaptable. If you use AI: → Everything is automatically animated + feels premium → You can get a full deck with one prompt. → Works on all screen sizes and is super dynamic. → You can share a link instead of sending files → See who viewed it, and measure analytics. I created a guide with all my prompt templates for building slides with AI. Want access? Comment “AI Deck” and I’ll share it with you.

@beaniemaxi Coups beget more coups. Very rarely does this work out. Africa and other parts of the world are littered with attempts to “free” people from a dictator and it never works out. More pain is loading and to think this will be better for Venezuelans is naive

we just launched Lovable Vibes - see your 2025 vibe coding stats🥇 I’ve seen some people with more than 1 MILLION lines written... crazy to find your stats: go to lovable [dot] dev and click “Your lovable 2025 vibes are here” let me see yours 👀

@damienghader @Lovable @its_creme Christmas

Xmas Giveaway! We are making our @Lovable library FREE until 1/1/2026. Brand new Themes + Components: • Glassmorphism • Custom Cards • Complete UI Packs & more 1 week of unlimited access. Follow + comment "Christmas" and I'll DM you the link.

@figma Love this

Like a post with ‘Made in Figma’ You’ll get a surprise

@Zephyr_hg SCRAPE

Competitor research takes me 2 minutes now. Built a scraper that monitors websites, tracks price changes, and extracts product data automatically. Claude AI pulls contact info, pricing, and company details straight into Google Sheets. Used to spend 10-15 hours monthly doing this manually. Now it updates every hour while I focus on closing deals. Comment "SCRAPE" and I'll DM it to you (must be following)

In 5 years from now, probably 95% of the tokens used by AI agents will be used on tasks that humans never did before. I just met with about 30 enterprises across 2 days and a dinner, and some of the most interesting use-cases that keep coming up for AI agents are on bringing automated work to areas that the companies would not have been able to apply labor to before. Most of the world hasn’t quite caught on to this point yet. We imagine AI as dropping into today’s workflows and just taking what we already do and making it more efficient by 20% or something. Yet most companies realize that most of the time they’re doing far less than they could because of the cost or limited capacity of talent. This shows up in different ways across every industry. In real estate it’s ideas like being able to read and analyze every lease agreement for every trend and business opportunity possible. In life sciences it’s being able to rapidly do drug discovery or improve quality by looking through errors in data. In financial services it’s being able to look through all past deals and figure out better future monetization. In legal it’s being able to execute on contracts or legal work for previously unprofitable segments or projects. And these are just the Box AI use cases that deal with documents and content. The same is going to be true in coding, where companies tackle software projects they wouldn’t have done before. Security of all systems and events they couldn’t get to. And so on. If you are working on AI Agents right now, the big opportunity is to bring enterprises “work” for problems that they couldn’t do before because it was nearly impossible to afford or scale. And if you’re deploying AI agents in an enterprise, consider what things you’d do more of (or differently) if the cost and speed of labor became 100X cheaper and faster. This is going to get you the real upside of automation.