Interesting Opinion markets for traders:

1) What price will Ethereum hit in February?

2) What price will Bitcoin hit in February?

3) Will Bitcoin hit $150k by ...?

4) BNB all time high by March 31?

5) Will BNB hit $1500 in 2026?

6) Hyperliquid all time high by March 31, 2026?

7) USDT depeg in 1Q2026?

Which markets are you watching right now?👇

x.com/alphabatcher/status/2025264273916919933

Binance has launched the pre-market for Opinion

this will be the first token from a prediction market to hit the market

and that alone makes it interesting

i think $OPN has massive potential

FDV has been holding around $570M in the first day, even pushing up to $730M at peak

a move toward $1B doesn’t feel unrealistic

we're entering the final stage now

my single referral did $6.6M in volume on Pacifica 🤯

the confidence I admire

I hope he gets the profit he deserves as an early bird

Pacifica is still early, and you can join here:

app.pacifica.fi?referral=alphabatcher

or use an access code:

XAS30S5JETX84GAE

AEG8MG3N9FPQXTVF

ZRC0HC5QG6YMMPSQ

SRQMVZKV8HSFPQ4G

VK0MB53W3XZHNC97

thanks to all my referrals 🙏

"you're probably not an asshole" 😂

alright then...

reminder for Opinion users (important)

> you need to connect 5 BNB Chain wallets
> deadline: Feb 28, 23:59 UTC

this feature has been available for a while now

so if you're involved in the project, don’t wait make sure you get it done

link: https://app.opinion.trade/points

bought a brand new laptop for $1600

spent the whole evening setting it up

Lenovo Legion R9000P (2025)

CPU Ryzen 9 8945HX
GPU RTX 5070 (8GB)
RAM 32GB DDR5
1TB SSD
16" 2.5K display 240Hz

feels much faster than the previous one, but battery drains super fast

90% of vibe-coded apps have at least one critical vulnerability

15 security rules every vibe coder needs before shipping:

1. Never build authentication with AI alone use proven auth providers
2. Keep every secret in environment variables, never inside your code
3. Set session expiration so stolen tokens cannot live forever
4. Verify every package AI suggests before installing it
5. Sanitize all user inputs before they touch your database
6. Add rate limits to your APIs to stop bots and abuse
7. Always enforce permissions on the server, never trust the frontend
8. Make storage private by default so users only access their own files
9. Restrict CORS to your real domains instead of allowing everything
10. Remove debug logs before deploying to production
11. Validate redirect URLs so attackers cannot hijack them
12. Set spending limits on AI APIs to avoid runaway costs
13. Verify webhook signatures before processing external events
14. Log critical actions like payments, role changes, and deletions
15. Keep test and production environments completely separate

Save this. Your future self will thank you

How do people make cinematic AI videos with 1M+ views???

Charliebcurran made $26k in 14 days from X monetization

cinematic AI clips. millions of views

here's exactly how to recreate it:

the model: Seedance 2.0. Where to find it: sjinn ai

Step by step:

> Go to Tool model → Video
> Select Mode → Seedance 2.0 Video
> Upload your image
> Write a cinematic prompt
> Done

one catch: requires Pro subscription minimum

the barrier to "viral video creator" is now just a good prompt and $30/mo

example: https://x.com/charliebcurran/status/2022463429823598999

5 ways you can use AI to solve key business needs (automation guide)

I talked to dozens of small business owners over the past year

Most of them were losing 15-20 hours a week to tasks that could run on autopilot

Not because of bad strategy. because of repetitive tasks no one ever automated

Here are 5 real business problems AI solves right now 👇

1. Losing leads because you respond too slow

the average business responds to a new inquiry in 2-3 hours

but studies show that if you don't respond within 5 minutes, your chances of closing drop by 80%

the fix:

- AI responds to every new inquiry instantly, 24/7
- qualifies the lead with 2-3 questions
- books a call or sends an offer automatically
- logs everything into your CRM without anyone touching it

tools: Manychat, Tidio, n8n + your CRM of choice

2. Team wastes hours answering the same questions

the average support agent spends 4-5 hours a day answering questions that never change

that's more than half the workday gone on copy-paste replies

"what's the price", "how does it work", "what's the timeline", "do you have X"

the fix:

- AI handles all repetitive questions instantly
- complex or sensitive cases get escalated to a human with full context already attached
- customer gets an answer in seconds, not hours
- team focuses only on conversations that actually need them

tools: Intercom, Tidio, custom GPT connected to your docs

3. Data lives in five different places and nobody looks at it

most small businesses collect data, but almost nobody actually uses it

decisions get made on gut feeling because the numbers are never ready in time

because pulling it together takes so long that by the time the report is ready, it's already outdated

the fix:

- connect all your tools once (CRM, ads, sales, ops)
- AI pulls the data automatically on a schedule
- you get a clean summary delivered to your Slack or email every Monday morning
- no spreadsheets, no manual work, no outdated numbers

tools: n8n or Make + Airtable + your data sources

4. Onboarding is inconsistent and nobody notices until it's too late

the first 7 days after someone buys or joins your team are the most important

but in most companies, no one actually checks whether the person received everything they needed

the fix:

- new client or employee triggers an automatic sequence
- day 1: welcome + what to expect
- day 3: useful resource or check-in
- day 7: quick feedback question
- all of it runs without anyone managing it

tools: n8n or Make + ActiveCampaign or MailerLite + Notion or Google Docs (for resource delivery)

5. Content either doesn't happen or happens in chaos

businesses that post consistently get 3x more inbound leads than those that don't

but most small businesses either don't post at all or post randomly when someone finds 20 minutes between meetings

the fix:

- you prepare content once a week
- AI generates post variations for each platform
- you pick one, make small edits, approve
- everything goes out on schedule automatically

tools: Make or n8n + Claude or ChatGPT + Buffer or Publer

CONCLUSION:

Most small businesses already have the problems listed above

They just don't know they can be solved without hiring more people

Pick one problem from this list. Build one solution. Deliver one result

That's how you start. That's also how you scale

The demand is real. The tools are accessible. The businesses that move first will have a serious edge over everyone still doing it manually

🚨 Cursor just dropped Composer 2, it changes vibe coding

Now it plans, builds, and ships across hundreds of steps, on its own

What's actually possible now:

- Describe a feature in plain English: get working code across multiple files
- Hand it a broken codebase: it reads the whole project and proposes fixes
- Run a full API integration or migration: Composer plans the steps and executes them autonomously
- Refactor legacy code: it holds context across the entire repo
- Prototype an idea from scratch: architecture, logic, boilerplate - done
- Hit a bug at 2am: it doesn't just find it, it traces the root cause and fixes it end-to-end

The benchmark jump is real: +39% over Composer 1.5

The price is even better: $0.50/M input. $2.50/M output

That's frontier-level intelligence at a fraction of what GPT-4 or Claude cost

It's building its own model and it's coming for the whole stack👇

x.com/cursor_ai/status/2034668943676244133

Best GitHub repos for AI Agents:

1. Free AI Agents Resources
https://github.com/avinash201199/free-ai-agents-resources

2. AutoGen by Microsoft Research
https://github.com/microsoft/autogen

3. AgentGPT
https://github.com/reworkd/AgentGPT

4. Awesome LLM Agent Frameworks
https://github.com/kaushikb11/awesome-llm-agents

5. AutoGPT: Build, Deploy, and Run AI Agents
https://github.com/Significant-Gravitas/AutoGPT

6. AI Agents for Beginners - A Course
https://github.com/microsoft/ai-agents-for-beginners

7. Build AI Agents, Visually
https://github.com/FlowiseAI/Flowise

Today I'm slashing Trust Wallet

Trust heavily shilled TWT near the highs, promised token value through its Sept 2025 roadmap, then delivered basically nothing

Since Nov 2025, not a single real project. Then came another Trust Wallet extension exploit in Dec 2025, which led to user losses of over $8M

Now TWT is down almost 30% in 2 days while the broader market is moving sideways, and the new CEO stays completely silent. No roadmap updates, no explanation, no accountability

And after all that, they quietly removed TWT from their X banner and bio

As someone who supported the project, believed in it, and invested in it, I was left alone with questions, just like the rest of the community

If you, like me, think this is unacceptable, vote “Slash” :

https://app.ethos.network/activity/slash/418/they-shilled-the-token-and-failed-to-deliver-on-the-roadmap

🚨Why Claude Cowork changes everything about delegation

> you hand it a task it builds a plan, executes it, delivers finished work
> if you do the same task more than once a week, you should be automating it
> skills turn your workflows into single commands build once, call forever with a slash command
> plugins chain multiple skills and connectors together to automate an entire role
> scheduled tasks fire automatically on a timer no input, no supervision required
> dispatch mode lets you trigger work on your desktop from your phone while you're away
> one input, three outputs, zero manual work

stop asking it questions. start giving it work

full course on Claude CoWork👇

https://x.com/hooeem/status/2039723470691451072

7 Claude features that are already in your plan

1. Projects

custom instructions + context that stay permanently Claude knows who you are before you type a word

2. Extended Thinking

a toggle that makes Claude actually reason before answering noticeably better output for anything complex

3. Code Execution

Claude doesn't just write code, it runs it drop a CSV, get charts and analysis right in the chat

4. Artifacts

Claude builds interactive tools, calculators, apps live preview in the sidebar, shareable link included

5. Memory

turned off by default enable it in Settings → Memory and Claude remembers your preferences across every session

6. File Uploads

PDFs, spreadsheets, decks, contracts just upload, don't copy-paste ever again

7. Vision

paste any screenshot or image directly Claude reads it, analyzes it, works with it

all of this is already in your plan. you just have to turn it on

Starter setup for building a TikTok AI character channel:

> Claude - writes every script, hook, ragebait, and Kling prompts
> Nano Banana Pro - generate static character images per scene
> Kling 3.0 - animate static images into 5-second clips
> ElevenLabs v3 - voiceover per scene, diamond gym energy
> CapCut - sync audio, hook cuts, effects, export 9:16
> TokScript - download transcripts from viral videos to train Claude
> iProyal - ISP proxy for US-targeted account setup
> Shadowrocket - proxy routing on iPhone ($3)
> AffiliateNetwork - $1-3 per 1,000 views from brand campaigns
> IPQualityScore - verify your IP is clean before creating account

The full system character design Claude training Kling prompts and monetization setup is in the article below 👇

x.com/sammgrowth/status/2042642443363889501

Full-cycle guide to start your own AI Agency (From $0 To $10K/mo)

x.com/i/status/2043579325287735518

It took me hours to write this banger, enjoy reading 🙂

your likes and reposts are appreciated ☺️

Opus 4.7 just changed how we talk to AI and most people are about to pay a massive ambiguity tax

> Every vague prompt is now directly priced into your token spend
> Anthropic removed the temperature and top_p knobs to enforce absolute precision
> Adaptive thinking means the model spends more reasoning tokens if your intent is fuzzy
> Task budgets will cut off your agent mid-loop if you don't define success criteria

The era of throwing a lazy prompt at an agent and praying is officially over

You either describe your logic with absolute rigor or you watch your budget burn for zero results

Details: https://x.com/the_smart_ape/status/2045070676063649908