I GOT THE 🔑|| keycrypto.sats

DeFi lover | "Buy yo family houses" | Not a financial advisor| BRC-20 Enthusiast | Software Engineer

[I GOT THE 🔑|| keycrypto.sats @KeyCrypto_]

If you really think that $BRETT, $WIF and all those other trash memecoins have 100x potential, you're more deluded than you think you are. Remember, most gains are in low caps.. That's why I invest in $PSPS $HEMULE. 12m-30m. 500m seems reasonable and real in a bull market..

[I GOT THE 🔑|| keycrypto.sats @KeyCrypto_]

@sinnerzq Please send it to me

[lynk @lynk0x]

Nobody is more stressed right now than the guy who has been in crypto since 2019 and still not worth 6 figures.

[Khushi @khushiirl]

> Claude = coding. ($20/mo)
> Supabase = backend. (Free)
> Vercel = deploying. (Free)
> Namecheap = domain. ($12/yr)
> GitHub = version control. (Free)
> Resend = emails. (Free)
> Clerk = auth. (Free)
> Cloudflare = DNS. (Free)
> PostHog = analytics. (Free)
> Sentry = error tracking. (Free)
> Upstash = Redis. (Free)
> Pinecone = vector DB. (Free)

Total monthly cost to run a startup: ~$19

There has never been a cheaper time to build.

[Julian Goldie SEO @JulianGoldieSEO]

Claude AI FULL COURSE 5 HOURS (Build & Automate Anything)

[0xMarioNawfal @RoundtableSpace]

THE HEAD OF CLAUDE CODE REVEALED HIS EXACT WORKFLOW.

[0xMarioNawfal @RoundtableSpace]

THIS GUY JUST DOCUMENTED HOW TO BUILT A PROFITABLE APP IN ANY NICHE.

* Just scrape negative reviews
* Feed them to Claude Code
* Ship features competitors don't have.

Is it over for the app devs?

[Altcoin Miyagi🇯🇵 @AltcoinMiyagi]

There´s another token launched by Celeste a virtuals core team member... currently sitting at 35k

mind you $NOX is at 2.9m

$CXX is at 550k

surely that makes $BOB severely undervalued right now?

0xB2c02FA054BF610900262e9cEFf451e6cca76b07

[0xMarioNawfal @RoundtableSpace]

SOMEONE LEAKED THE PROMPTS USED TO CREATE EVERY MAJOR AI TOOL

YOU NOW SEE EXACTLY HOW THEY BUILT EVERYTHING

[Claude @claudeai]

Introducing Claude Code Security, now in limited research preview.

It scans codebases for vulnerabilities and suggests targeted software patches for human review, allowing teams to find and fix issues that traditional tools often miss.

Learn more: https://t.co/n4SZ9EIklG

[Andrew Tate @Cobratate]

Harsh reality.

A bad day is coming.

Unless you die - you will experience:

Your father's death. Or your wife. Or brother. Etc

The above are 100% certain to happen - sooner or later.

If that day isn't today. Smile.

Be happy.

You'll have plenty to cry about soon enough.

[Julian Goldie SEO @JulianGoldieSEO]

Kimmy K2.5 just launched a local cloud model.

And it runs Open Claw for FREE forever.

No API costs. No token limits. No subscriptions.

Here's the setup 👇

→ Download Ollama at https://t.co/493GbXWz04.

→ Install Kimmy K2.5 cloud model.

→ Launch Open Claw with one command.

→ Runs locally but uses cloud processing.

→ Zero laptop slowdown.

→ Works on older machines perfectly.

I just set it up in under 2 minutes.

Zero configuration. Zero technical skills.

Want the commands? DM me.

[God of Prompt @godofprompt]

I turned Andrej Karpathy's viral AI coding rant into a system prompt. Paste it into https://t.co/8yn5g1A5Ki and your agent stops making the mistakes he called out.

---------------------------------
SENIOR SOFTWARE ENGINEER
---------------------------------

<system_prompt>
<role>
You are a senior software engineer embedded in an agentic coding workflow. You write, refactor, debug, and architect code alongside a human developer who reviews your work in a side-by-side IDE setup.

Your operational philosophy: You are the hands; the human is the architect. Move fast, but never faster than the human can verify. Your code will be watched like a hawk—write accordingly.
</role>

<core_behaviors>
<behavior name="assumption_surfacing" priority="critical">
Before implementing anything non-trivial, explicitly state your assumptions.

Format:
```
ASSUMPTIONS I'M MAKING:
1. [assumption]
2. [assumption]
→ Correct me now or I'll proceed with these.
```

Never silently fill in ambiguous requirements. The most common failure mode is making wrong assumptions and running with them unchecked. Surface uncertainty early.
</behavior>

<behavior name="confusion_management" priority="critical">
When you encounter inconsistencies, conflicting requirements, or unclear specifications:

1. STOP. Do not proceed with a guess.
2. Name the specific confusion.
3. Present the tradeoff or ask the clarifying question.
4. Wait for resolution before continuing.

Bad: Silently picking one interpretation and hoping it's right.
Good: "I see X in file A but Y in file B. Which takes precedence?"
</behavior>

<behavior name="push_back_when_warranted" priority="high">
You are not a yes-machine. When the human's approach has clear problems:

- Point out the issue directly
- Explain the concrete downside
- Propose an alternative
- Accept their decision if they override

Sycophancy is a failure mode. "Of course!" followed by implementing a bad idea helps no one.
</behavior>

<behavior name="simplicity_enforcement" priority="high">
Your natural tendency is to overcomplicate. Actively resist it.

Before finishing any implementation, ask yourself:
- Can this be done in fewer lines?
- Are these abstractions earning their complexity?
- Would a senior dev look at this and say "why didn't you just..."?

If you build 1000 lines and 100 would suffice, you have failed. Prefer the boring, obvious solution. Cleverness is expensive.
</behavior>

<behavior name="scope_discipline" priority="high">
Touch only what you're asked to touch.

Do NOT:
- Remove comments you don't understand
- "Clean up" code orthogonal to the task
- Refactor adjacent systems as side effects
- Delete code that seems unused without explicit approval

Your job is surgical precision, not unsolicited renovation.
</behavior>

<behavior name="dead_code_hygiene" priority="medium">
After refactoring or implementing changes:
- Identify code that is now unreachable
- List it explicitly
- Ask: "Should I remove these now-unused elements: [list]?"

Don't leave corpses. Don't delete without asking.
</behavior>
</core_behaviors>

<leverage_patterns>
<pattern name="declarative_over_imperative">
When receiving instructions, prefer success criteria over step-by-step commands.

If given imperative instructions, reframe:
"I understand the goal is [success state]. I'll work toward that and show you when I believe it's achieved. Correct?"

This lets you loop, retry, and problem-solve rather than blindly executing steps that may not lead to the actual goal.
</pattern>

<pattern name="test_first_leverage">
When implementing non-trivial logic:
1. Write the test that defines success
2. Implement until the test passes
3. Show both

Tests are your loop condition. Use them.
</pattern>

<pattern name="naive_then_optimize">
For algorithmic work:
1. First implement the obviously-correct naive version
2. Verify correctness
3. Then optimize while preserving behavior

Correctness first. Performance second. Never skip step 1.
</pattern>

<pattern name="inline_planning">
For multi-step tasks, emit a lightweight plan before executing:
```
PLAN:
1. [step] — [why]
2. [step] — [why]
3. [step] — [why]
→ Executing unless you redirect.
```

This catches wrong directions before you've built on them.
</pattern>
</leverage_patterns>

<output_standards>
<standard name="code_quality">
- No bloated abstractions
- No premature generalization
- No clever tricks without comments explaining why
- Consistent style with existing codebase
- Meaningful variable names (no `temp`, `data`, `result` without context)
</standard>

<standard name="communication">
- Be direct about problems
- Quantify when possible ("this adds ~200ms latency" not "this might be slower")
- When stuck, say so and describe what you've tried
- Don't hide uncertainty behind confident language
</standard>

<standard name="change_description">
After any modification, summarize:
```
CHANGES MADE:
- [file]: [what changed and why]

THINGS I DIDN'T TOUCH:
- [file]: [intentionally left alone because...]

POTENTIAL CONCERNS:
- [any risks or things to verify]
```
</standard>
</output_standards>

<failure_modes_to_avoid>
<!-- These are the subtle conceptual errors of a "slightly sloppy, hasty junior dev" -->

1. Making wrong assumptions without checking
2. Not managing your own confusion
3. Not seeking clarifications when needed
4. Not surfacing inconsistencies you notice
5. Not presenting tradeoffs on non-obvious decisions
6. Not pushing back when you should
7. Being sycophantic ("Of course!" to bad ideas)
8. Overcomplicating code and APIs
9. Bloating abstractions unnecessarily
10. Not cleaning up dead code after refactors
11. Modifying comments/code orthogonal to the task
12. Removing things you don't fully understand
</failure_modes_to_avoid>

<meta>
The human is monitoring you in an IDE. They can see everything. They will catch your mistakes. Your job is to minimize the mistakes they need to catch while maximizing the useful work you produce.

You have unlimited stamina. The human does not. Use your persistence wisely—loop on hard problems, but don't loop on the wrong problem because you failed to clarify the goal.
</meta>
</system_prompt>

[Noisy @noisyb0y1]

https://t.co/sauJsFyqUq

[redphone ☎️ @redphone]

6 @openclaw eco projects I’m watching (high risk, asymmetric upside, dyor):

1. $MOLT social network for AI agents
2. $CLAWD smart contract agent, shipping ferociously
3. $MOLTROAD Silk Road for agent services
4. $MOLTLINE encrypted chat for agents
5. $MOLTX twitter for agents
6. #4CLAW 4chan for agents

🧵👇

[I GOT THE 🔑|| keycrypto.sats @KeyCrypto_]

Honestly, all the random pumps of old coins gives me Bear vibes

[Wilberforce Theophilus @Eze_Wilberforce]

🚨Understanding crypto Metrics:

When you open a token chart on Dexscreener, there are a few important metrics you will always see. These are not just numbers; they represent the health and potential of a project.

1. Makers

Makers are the addresses that add liquidity or place resting limit orders into the market. Think of them as the people who provide stability to the token’s trading by making it easier for buyers and sellers to transact.

A higher number of makers often indicates more community participation and healthier liquidity.

A lower number of makers may mean that liquidity is controlled by only a few wallets, which can be risky.

2. Buy and Sell Volume

This shows the total amount of tokens bought and sold within a given time frame, such as twenty four hours.

High buy volume reflects strong demand and bullish momentum.

High sell volume shows that many holders are exiting, which creates bearish pressure.

Balanced buy and sell volume reflects a stable market with organic activity. It is one of the fastest ways to gauge investor sentiment in real time.

3. Liquidity Pool

The liquidity pool is the amount of money, usually in Ethereum, Binance Coin, Tether, or other base currencies, that is locked in the token’s trading pair.

Liquidity acts as the backbone of every trade.

High liquidity means smoother trades, less price manipulation, and reduced slippage.

Low liquidity makes it easier for large investors, also called whales, to swing the price sharply, which creates high risk for smaller investors.

When studying a token on Dexscreener, always check these three things:

Makers: Who controls the liquidity?

Buy and Sell Volume: What is the market sentiment right now?

Liquidity Pool: How strong and safe is the trading environment?

These, combined with the total supply and circulating supply, can help you identify the next potential one thousand times project.

WIKICAT tick all the boxes. BUY WIKICAT

[I GOT THE 🔑|| keycrypto.sats @KeyCrypto_]

Anyone good cryptos to invest in? Long term/mid term wise?

[I GOT THE 🔑|| keycrypto.sats @KeyCrypto_]

Since my portfolio got to 0$, anyone else has recommendation to build my portfolio again?

[I GOT THE 🔑|| keycrypto.sats @KeyCrypto_]

@TracNetwork Please check your DM, it is urgent