WeMakePresident

대한민국은 민주공화국이고 모든 권력은 국민으로부터 나옵니다. 주권자인 우리 모두 선거에 참여하여 우리를 대리할 정직하고 성실한 대통령을 선출합시다.

[WeMakePresident @WeMakePresident]

@jordan_ross_8F SEO

[WeMakePresident @WeMakePresident]

@fromzerotomill want

[MONTE @fromzerotomill]

I just finished writing my most valuable PDF yet:

$0 to $1k in 60 days with your ai digital product (20 pages)

It’s everything kids are doing to make $8,700 with PDF guides

I could charge for this, but not for now…

Rt + comment and I’ll send it to you

(must be following)

[WeMakePresident @WeMakePresident]

@TommiPedruzzi Claude

[WeMakePresident @WeMakePresident]

@JulianGoldieSEO VIDEO

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@AlfieJCarter SKILLS

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@sohmehta Goose

[WeMakePresident @WeMakePresident]

@aryanXmahajan VAULT

[Aryan Mahajan @aryanXmahajan]

🚨 Sonnet 5 just replaced your $150K/year developer.

What used to take a senior dev a 2-week sprint now ships before your morning coffee.

→ No more 2-week sprints for features that should ship in hours
→ No more $150K/year salary sitting on a single bottleneck
→ No more sessions that forget everything and restart cold
→ No more broken code shipping because no one actually ran it

Just 67 agents. 9 folders. 38 files. Drop into Cursor or Claude Code.

Here's how it works:

→ Prompt Library (15+ routing rules. Every request lands in the right folder.)
→ Research Engine (5-tier confidence rubric. Verified beats plausible.)
→ Planning Core (scope locked before a single tool opens.)
→ Build Loop (proven by running the code, not reading it back.)
→ Debug Protocol (5-whys trace. No fix gets tried twice.)
→ QA Gate (8-dimension scorecard. Ship, fix, or rebuild on the spot.)
→ Memory Bank (session memory on disk. Never starts cold.)
→ Swarm Orchestration (independent tasks run in parallel, not in line.)
→ Deploy Shield (rollback tested, not just designed.)

Same output. Half the token cost of Opus 4.8.
67 agents carrying Fortune 500 and hedge fund work.
$150K/month operation. Zero dev team.

Results:

- $150K/year developer replaced completely
- 50% token cost reduction vs Opus 4.8
- 67 agents running simultaneously, zero dev overhead

Your developer costs $150K a year. This costs a comment.

Like + comment "VAULT" + repost, and I'll DM it to you.
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[WeMakePresident @WeMakePresident]

@spwfeijen WANT

[Stijn Feijen @spwfeijen]

We’ve officially hit the point where AI UGC is cheaper AND better than real UGC.

This video is 100% AI and cost under $1. (And no, it’s not Sora, Veo, or Kling).

My system is built for mass-scale organic across thousands of accounts. Here is why it wins:

- Hyper-realistic visuals: Natural physics and movement look flawless.

- Insane cost efficiency: Costs pennies compared to traditional UGC programs.

-Consistent audio: High-quality, rock-solid voiceover throughout.

- Infinite scaling: Videos can run to any length cost-effectively.

This changes everything.

Want the WORKFLOW? Check the comments!

[WeMakePresident @WeMakePresident]

@Aidanb2b DESIGN

[WeMakePresident @WeMakePresident]

@rony_gain UGC

[WeMakePresident @WeMakePresident]

@erichustls Ready

[WeMakePresident @WeMakePresident]

@FynCas LIVE

[Cas.Fyn @FynCas]

Why I use Claude + Seedance 2.0 for my intire AI UGC workflow.

Cinematic lighting
Natural human motion
Fully realistic UGC ads
Clean pacing — powered by AI agents.

How the Claude + Seedance 2.0 workflow works:

- Mass Variation
- Virtual Influencers
- Autopost & Iterate
- Product Placement
- Instant Storyboards

Stop waiting on creator schedules while your ad performance drops.

Comment & RT “LIVE” and I’ll DM you the full workflow.
(Must be following)

[WeMakePresident @WeMakePresident]

@mikefutia SKILLS

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@fromzerotomill CLAUDE

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@Tanmoy_ai Need

[Himanshu Kumar @codewithimanshu]

Software engineering student. 21 years old. Lives in a dorm in Ankara.

Spent one month writing code.

First night the bot ran: $14,000 profit.

He sat there staring at the screen. Refreshed twice. The number did not change.

It actually worked.

He explained the setup to me. Simpler than I expected.

Three tools:

OpenAI Codex
Claude Opus 4.7
Polymarket CLOB API

The logic:

Major news hits. Polymarket probability adjusts in 2 to 3 seconds. But the orderbook is still filled with limit orders at the old probability.

That gap lasts 30 to 90 seconds.

The bot monitors Bloomberg and Reuters. Scores every headline. Applies the formula:

ΔP(t) = α · news_score · e^(-λt)

α measures market sensitivity to news type.
λ measures how fast the information propagates.

Enter during the lag. Exit before the market reprices.

Fully automated. No manual Claude prompt. No human decision. Pure execution through the CLOB API.

He is clearing $50K to $70K monthly now.

$600K annualized run rate.

From a dorm room.

One month ago his entire setup was:

Laptop
Claude Pro subscription
Polymarket API key

No VC funding. No algorithmic trading background. No finance degree.

Just focused building and one working formula.

Most traders try to predict what will happen next.

He built a system that reacts to what just happened before anyone else can.

The window is still open. The APIs are free. The formula is math.

You only need Claude + device + 1 hour to build.

Giving this free for 24 hours.

To get it:
1. Comment "STUDENT"
2. Like and retweet this
3. Follow me @codewithimanshu so I can DM you

Save this post. Build the reaction arbitrage bot this week. Start with $300. Scale on evidence.