ChainUX

[ChainUX @UXBlockLab]

https://t.co/5rB1W9Ozof

[ChainUX @UXBlockLab]

@BlondeOfWar @bitmindbot

[ChainUX @UXBlockLab]

@Mageba_wav Diddy

[Ihtesham Ali @ihtesham2005]

10 WEBSITES THAT FEEL ILLEGAL BUT ARE 100% FREE.

Bookmark every single one. Most people will never find these on their own.

1. https://t.co/KbqhyXK8JL
Self-hosted replacement for Google Drive, Dropbox, and iCloud. Unlimited storage on your own server. Zero subscription forever.

2. https://t.co/wCipQxh4dK
Free access to 88+ million research papers that journals charge $40 each to read.

3. https://t.co/OAhaYocdxH
The world's largest open knowledge archive. Almost any book, textbook, or paper ever published.

4. https://t.co/OWjQrMcCUO
Free movies, books, software, music, and 800 billion archived web pages going back to 1996.

5. https://t.co/kUt8t60udq
Download any video or audio from YouTube, TikTok, Instagram, Twitter, and 30+ other sites. No ads. No watermarks.

6. https://t.co/qpcsBtDU0p
Full Photoshop running in your browser. Opens PSD files. 100% free forever.

7. ladder (https://t.co/svEmkUHPGm)
Self-hosted proxy that bypasses paywalls on NYT, WSJ, Bloomberg, Nature, and hundreds more.

8. https://t.co/Upx6RlFjdG
300+ free tools for PDF, image, video, and AI tasks. No signup. No limits.

9. https://t.co/0DBTEfz0fo
Replaces Dropbox, iCloud, and OneDrive. Syncs files between your devices with zero cloud and zero subscription.

10. https://t.co/EEAoCMQlxq
Installs every program you need on a new PC in one click. No bloatware. No toolbars.

The internet still has free corners. Most people just stopped looking.

[ChainUX @UXBlockLab]

@0x_fokki BUILD

[ChainUX @UXBlockLab]

@wakenminds @bitmindbot

[ChainUX @UXBlockLab]

@mattgittleson Lmao

[ChainUX @UXBlockLab]

@covenant_ai @tplr_ai So this time you won’t rug us again? Pinky promise? 💔

[ChainUX @UXBlockLab]

@Zephyr_hg News

[ChainUX @UXBlockLab]

@badazn @doomernat22 @grok @bitmindbot fake or take?

[ChainUX @UXBlockLab]

@NickGroen @CryptoTony__ Tao

[Shann³ @shannholmberg]

4 levels of Hermes Agent setup:

LEVEL 1: main agent

You → Hermes Agent

this is your main agent and your prototype area, where you test new workflows and refine them. it doubles as your orchestrator until you have something worth breaking out

----

LEVEL 2: specialized agents

You → SEO Agent
You → CMO Agent
You → Ops Agent

once a workflow is solid, break it out into its own agent with its own credentials, memory and scope.

---

LEVEL 3: orchestrated team

You → Orchestrator
↓
Specialist Agents

bring the orchestrator back in. it now steers the company of agents you have built.

----

LEVEL 4: automated team

Cron / Events → Orchestrator
↓
Agent Team

add task lists so the team works async. cron and events fire jobs, the orchestrator routes them through the task bus, the team handles the work without you

----

take small steps, you DO NOT want to automate slop.

if your output at level 1 is mediocre, you are about to scale mediocrity. 20 agents shipping low quality work at speed is worse than 3 shipping great work slowly.

I would rather run fewer agents with better output than MAXXING the agent count and spitting out more of the same.

[Mr. Buzzoni @polydao]

Atlassian's revenue: $1.79 billion last quarter
Atlassian's move: fire the engineer who built their infrastructure

his move: post a 38-minute breakdown of every system he built, free for anyone to copy

what he revealed:

> Envoy proxy instead of enterprise load balancers
> sidecar architecture for auth, logging, rate limits
> DynamoDB + SQS for async provisioning
> Packer + SaltStack for automated VM deployments at scale

Atlassian charges per employee across 350,000 customers

this guy just handed you the enterprise playbook for free

save this

[ChainUX @UXBlockLab]

@KeithSingery DMT ?

[ChainUX @UXBlockLab]

@MuteeAutomation Myth

[Andy ττ @bittingthembits]

Something important is happening around this Bittensor $TAO that most people still haven't noticed. And it has nothing to do with a subnet launch or a price move.

It's about knowledge. And who has it.

Here's a truth that took me years to understand. The gap between the person who navigates Bittensor confidently and the person who loses money on it isn't usually intelligence. It isn't research effort. It's a specific kind of knowledge that lives nowhere in any documentation.

The knowledge of when a subnet changing its name is a strategic pivot versus a warning sign. The knowledge of which validators are genuinely building versus copying the biggest players. The knowledge of why a massive stake movement is a signal worth acting on. The knowledge of when a high APY means an opportunity versus when it means everyone else already left.

None of that is written. It lives in the muscles of people who have been inside this ecosystem for years, making expensive mistakes, watching patterns accumulate, developing instincts that cannot be taught period.

@TensiaFDN has a name for this. They call it the Cognitive Debt. The debt pioneers incur simply by arriving early owed to everyone who arrives later and has to relearn the same painful lessons from scratch.

Most people who hold that knowledge do one of two things. They monetize it behind a paywall. Or they keep it entirely private as their edge. Tensia chose a third path. They built tools to translate what they know into something anyone can use. For free. No keys. No premium tier. No catch.

What they have built is genuinely useful.

https://t.co/y4RrhmPXrR is a Telegram assistant that monitors the Bittensor network in real time and sends alerts within 1 to 3 seconds of an on-chain transaction. Wallet movements, subnet price variations, name changes, ownership changes, failed transactions hidden inside proxy calls that every other tool misses. They run their own node. The data comes directly from chain events no third-party API that can be manipulated or delayed. You tell it what to watch. Everything else stays silent.

Tensia.APY is where it gets strategically interesting. This is the tool most stakers don't know they need until they see the numbers.

On SN19 right now, the top validator is paying 74.38% APY on a 1-hour read. The gap between validators on the same subnet same alpha token, same infrastructure can be 40 percentage points annually. On 10 $TAO staked for a year, that gap is 4 $TAO in your pocket or lost. For zero extra effort beyond picking the right validator.

When a subnet bleeds, the staker on the high-APY validator exits in profit. The one on the low-APY validator exits underwater. Yield is your shield. And the person who accumulates alpha during the drawdown at depressed prices wins when it recovers.

Tensia.APY monitors every validator across all 128 subnets every 5 minutes. Every 2 hours it compares yours to the best available. You set your threshold “alert me if something beats mine by 10%” and it tells you exactly which validator to leave and which to join.

Right now the top reads look like this: SN118 at 347%, SN115 at 278%, SN36 at 251%. These windows close fast as stake flows in.

Beyond the tool, they published a sharp whitepaper on Cognitive Debt why decentralized protocols stay stuck in the pioneer phase when critical knowledge stays concentrated in a small group. They’re building the infrastructure to actually distribute that knowledge.

2,800 wallets tracked. 500 active users. Clarity is alpha, and right now it’s free.

https://t.co/PPHQnEsfmR

$TAO

[τao τemplar @TAOTemplar]

A Bittensor alpha investment strategy starter-guide.

In particular I think it's important to understand where you land within the goals quadrant. Do you want TAO in the end, or do you want USD?

[ChainUX @UXBlockLab]

@metanova_labs @onepot_ai

[Andy ττ @bittingthembits]

🚨 $TAO two words this morning:

Training 80.

SN3 Teutonic-LXXX is live.
LXXX is 80 in Roman numerals.

This is the largest decentralized AI training run in history.

An 80B parameter model is being trained competitively, on-chain, by miners around the world.

No OpenAI data center.
No Google TPU cluster.
Decentralized compute. Winner-takes-all emissions.

The important part is the perplexity chart. Perplexity started extremely high and collapsed down toward the 25 range. Lower perplexity means the model is getting better at predicting the dataset.

In simple terms:

The model is learning.

That is what people need to understand.

After the drama, SN3 did not disappear. The system kept moving.

Dashboard:

Reign #107 the throne has changed hands 107 times

King PPL dropping steadily from 4,000+ at genesis down to 25.02 today

Each reign earns $247/hr in $TAO emissions

Miners competing every 3-4 hours, pushing the model lower

How the mechanism works straight from @const_reborn:

"We construct the loss landscape as a market. Miners compete to win the sequence of updates which take the loss lower. This creates a pure incentive-driven loss reduction game across all available compute."

Point your agent at https://t.co/bd182xwiUk, plug in a compute key via LIUM or Targon it figures out the rest.

Every miner that dethrones the King improves the model. Every reign is a training step.

The incentive is the research.

Running right now at https://t.co/bd182xwiUk.

The largest decentralized training run ever.

Happening on Bittensor.
Happening on SN3.

$TAO

DYOR.

🔗 https://t.co/mHFsDQaOqw

[ChainUX @UXBlockLab]

@systemdesignone 🤷‍♂️🤷‍♂️

[ChainUX @UXBlockLab]

@AlgodTrading Buy your Grandparents some rolex. Enjoy the time with them. Some day when they gone they could be woth alot more