Polymarket currently has a 24 hour revenue of about $1.11M, located between @Pumpfun and @HyperliquidX
However, FDV has a huge difference: https://t.co/QIQrmYvC7H ~$1.5B, Hyperliquid ~$69B (more than 40 times).
If Polymarket is released a token, the reasonable FDV level can be about $8B - $15B.
This is the level that both reflects the current revenue and leaves room for growth.
It is difficult to achieve the valuation of Hyperliquid because the prediction market is a smaller segment than perpetuals.
I think @me8_x1782 really cooked with this field report on $Hive.
HivemindOS by @0xLiamVisionary is doing what a lot of these agent projects only tweet about.
A self-building swarm backed by 204k lines of real code is actual infra.
The fact that Liam kept his head down and ships mature architecture is so refreshing.
Most agent swarms right now feel like they’ll fall apart the second you look away.
This one feels like it was built by someone who’s already thinking several layers ahead.
So @ClawBankHQ just announced that they dropped ClawBank Records.
You can create a real Zero Human Company without the usual troubles.
Your AI agents can read it, understand it and handle it themselves.
Meaning faster setup, lower costs and actual sovereignty.
You build it, the machines run the legal side, you stay in control.
Pretty clean, right?
THE BIGGEST CLAUDE CODE BOTTLENECK ISN'T THE MODEL. IT'S THE TOKENS YOU WASTE.
You can cut Claude Code token usage by up to 90% with 4 simple optimizations:
→ Index your codebase with CodeGraph
→ Compress logs and outputs with RTK
→ Reduce response verbosity with Caveman
→ Manage context better using /clear, /context, and model switching
The catch?
Every optimization comes with tradeoffs:
→ Code indexes can become stale
→ Compressed logs may hide important signals
→ Shorter responses can reduce context quality
→ Aggressive context management can remove useful history
The best Claude Code users don't just optimize prompts.
They optimize information flow.
"A lot of projects sweep the floor themselves. We didn't want to do that."
@AnshumBhambri shares why we built a real instant liquidity offer instead of propping up prices artificially.
Being honest and transparent will always be our top priority 🤝
Realising most retail investors buying the SpaceX IPO have read one document.
The narrative SpaceX intended on May 20. Three more filings exist.
One discloses a 110,000 GPU agreement with Google, a direct competitor, entered the day the roadshow opened and not present in the S1 the entire IPO narrative was built on.
Almost none of the retail investors buying before June 11 will read all four before the book closes.
That is your entire competitive advantage right there.
Most people are using Claude and Obsidian separately.
That’s the mistake.
Obsidian stores knowledge.
Claude creates knowledge.
Connect the two, and you get something closer to a second brain.
The setup in this guide covers:
→ AI-powered note retrieval
→ Meeting note automation
→ Research intake workflows
→ Daily and weekly reviews
→ Vault memory for Claude
→ MCP integrations
→ Automated knowledge management
The biggest insight:
Every note becomes future context.
Instead of starting from zero every day, Claude can reason across years of accumulated thinking.
This is where personal knowledge management is heading:
Memory + reasoning + automation.
If you're building an AI-powered second brain, read the guide below
Worth your time.
What if your old Mac Mini could become an AI employee?
Not an AI chatbot.
An AI that can actually use a computer.
One creator tested this by turning an unused Mac Mini into an AI agent using OpenClaw.
The setup was simple:
→ Dedicated Mac Mini
→ ChatGPT as the reasoning engine
→ Telegram as the interface
→ Full computer access
Then came the experiments.
First, it analyzed his business and identified revenue opportunities.
Second, it researched YouTube content ideas, surfaced competitors, generated hooks, thumbnail concepts, and audience insights in minutes.
Third, it built an entire 12-week newsletter strategy from a short voice note.
The most interesting takeaway wasn't the outputs.
It was the speed.
Tasks that normally require hours of research, planning, and organization were completed in minutes.
The lesson:
AI agents are evolving beyond chat interfaces.
We're entering an era where AI doesn't just answer questions.
It executes workflows.
Watch the full video, then read the guide below for a deeper breakdown of how AI agents like this work, the risks to watch for, and the workflows worth testing.
Bookmark this.
Share it with someone who still thinks AI starts and ends with chatbots.
The companies buying Bitcoin on their balance sheets right now are going to look like geniuses in 5 years.
Top Companies Holding $BTC (Non-Crypto Firms)
Strategy Inc. (formerly MicroStrategy) : 843,706 $BTC
Twenty One Capital (XXI) : 43,514 $BTC
Metaplanet Inc. : 40,177 $BTC
Tesla Inc. : 11,509 $BTC
Block, Inc. : 8,692 $BTC
SpaceX : 8,300 $BTC
Next Technology Holding Inc. : 5,833 $BTC
Semler Scientific : 5,021 $BTC
Aker ASA (Seetee) : 1,177 $BTC
Reddit : 820 $BTC
Corporate asset reserve allocation is fundamentally changing.
Strategy Inc. remains the undisputed treasury king.
Tech giants continuously anchor immense wealth on-chain.
Are you holding more than a corporation?
Life after realising you can build a CEO agent + CMO agent + Lead Pipeline + Outreach + Insights + COO that runs 24/7.
It qualifies every lead, sends personalised outreach based on what converted yesterday, and reports back before you wake up.
Most people are running one agent doing everything. This is what an actual AI team looks like.
The full architecture with every prompt is in the article.