Bach

[i am ethan 📻 @iamethanforreal]

IMPORTANT QUESTION‼️‼️
#rkggk #gigiez

[Aeneas @SonOfAnchis3s]

It’s fairly unlikely that they’re traveling for travel’s sake, for the purposes of seeing new places or imbibing the culture and history of a foreign land. It’s more likely that their minds are perpetually occupied with documentation, with these books that they’ll make, with the photos they’ll show others. In reality, they’ve traveled nowhere; despite where their bodies may be, their minds perpetually remain in the same place, caught in the net of anticipatory performance.

[Ronin @DeRonin_]

I automated my content engine and 2 hrs/day dropped to 10 min

[ what’s new in v2 ]:

- 9 platforms scraped while I sleep → 2,000+ topics/day
- a 5-signal scoring brain that filters down to the 10 that matter
- voice DNA writer.. same tone, different structure every time
- a self-learning loop that remembers every approve and decline
- profile DNA — knows exactly what goes viral on MY account

v1 was a brain with no body
v2 has eyes, a filter, and memory + fully automated

Here’s how to build it step-by-step ↓

[ The architecture]:

/content-engine
├── scrapers/ (9 platform scrapers)
├── extension/ (chrome ext for X, linkedin, reddit)
├── ai/
│ ├── https://t.co/JLmuw236QH (5-signal scoring brain)
│ ├── content_writer.py (voice DNA + structures)
│ ├── profile_analyzer.py (your positioning DNA)
│ └── sentiment_analyzer.py
├── publisher/ (export + time slot scheduling)
├── gui/dashboard.py (streamlit command center)
├── ingest_server.py (local server on localhost)
└── data/content_engine.db (everything stored locally)

let me walk you through each layer ↓

LAYER 1: Research engine

9 sources scanned 24/7 (X, reddit, YT, HN, github, trends + chrome ext for reddit and linkedin)
every post you scroll past gets tagged and stored locally

LAYER 2: Scoring brain

every topic scored on 5 signals:
- freshness (0.20)
- velocity (0.25)
- virality (0.25)
- relevance (0.20)
- uniqueness (0.10)

velocity 8+ → forced min score of 7. catches late bloomers that suddenly explode
2,000 topics → top 10 ranked

LAYER 3: Voice DNA writer

not one structure every time. system picks the format:

- short take
- tactical playbook
- QT contrast
- contrarian
- resource drop
- proof post

a voice guardian auto-rewrites anything that fails: lowercase ratio, no hashtags, no corporate words

LAYER 4: Dashboard Streamlit

dark theme. 5 tabs
review queue = tinder for content. swipe approve, swipe decline

LAYER 5: Publishing

no auto-posting. zero account risk
approve → pick a slot (8am / 12pm / 5pm) → exports a .txt → copy / paste / post

also auto-drafts a linkedin version of every approved tweet

LAYER 6: Self-learning loop

every click logged. weekly the system embeds your decline notes and re-tunes the scoring brain

month 1: you approve 30%
month 3: 70% pre-filtered
month 6: 10 min/day

LAYER 7: Profile DNA

analyzes your past tweets. tells you exactly which pillars, formats, and hooks perform best on YOUR account

the scoring brain uses it to prioritize what already works for you

daily run: open dashboard → 10 min reviewing → post 3x → close

total cost: ~$15/month

everything else: local, sqlite, no cloud, no subscription

unfortunately I couldn’t paste in long-form format initial description which was made before

but if this hits 2,000 likes I drop the full build guide with every prompt you need to ship it in claude code

reply "ENGINE" + RT and I'll DM you access to test it (follow me first so I can write)

save this so you don't lose it

[Bach @swnbach]

@DeRonin_ engine

[𝙂𝙐𝘼 @gua_seed]

🍏Angel
#aftereffects #motiongraphics

[TabsArts (COMMS OPEN) @TabsArts]

HoloEN F1 Race Queens Complete Set
[1/3]

[can @can]

your db query is slow? just add this! boom, now you are ai-native instead of lazy!

[Stanz @NathanStanz]

When Ludwig told the man his name was pussy burger

[Bach @swnbach]

@markoilico

[AkuKan @Aku_kan03]

"It's has to be massive?"Gigi Murin https://t.co/kVycyGPvVg
#rkggk #RaorArt

[Bach @swnbach]

@thedennis System

[Bach @swnbach]

@AlfieJCarter CLAUDE

[Bach @swnbach]

@itsalexvacca SKILLS

[Bach @swnbach]

@IdrisEcom_email AG1

[ecomchigga @ecomchigga]

I made >$600k profits this year at 18
selling digital products.

Here’s how I scaled to $6K/day consistently:

1.Create a fresh Twitter/X account (takes 5 seconds).
2.Add a clean PFP + banner using Midjourney or Leonardo (2 minutes).
3.Write a 160-character bio that shows niche + authority (30 seconds).
4.Add a Notion or Typeform link to capture every lead (1 minute).
5. Pin a post offering a free guide (“Comment ‘guide’ for access”) to boost engagement 10x.
6.Connect TweetHunter or Typefully so posting becomes automated.
7. Build a simple Google Sheet/Notion CRM to track comments → leads.
8.Choose a profitable niche: ecom, AI tools, sales, or agencies.
9.Find the top 3 creators in your niche with 100K+ followers.
10.Scrape their top 100 tweets (300 total).
11.Feed everything into ChatGPT or Claude and rewrite into viral-style tweets.
12. You now have 300–500 tweets ready for the entire month.
13.Use TweetHunter to schedule 10 posts per day.
14.This alone drives 1M–5M impressions monthly.
15.Turn on keyword reply automation (“guide,” “ebook,” “how”).
16.Auto-DM users your free guide using Zapier (100–500/day).
17.The free guide becomes the magnet that pulls emails, Telegram, SMS.
18.Every 1M views = ~1,000 comments → 600 opt-ins → 60 warm leads.
19.Push these leads into ConvertKit or ActiveCampaign automatically.
20.Send a 3-email sequence into your paid course or mentorship.
21.Expect 20–30% open rates, 5–10% click-through.
22.Around 400 people will hit your checkout monthly from this alone.
23.Use ChatGPT/Gemini to outline 5 eBooks (200+ pages each) in minutes.
24. Build them in Notion or Canva → export as clean PDFs.
25.Each book takes 30–40 minutes max (AI-assisted).
26. You now have a $20K+ value library of digital assets.
27.Bundle them into a $300–$500 digital course or starter pack.
28.Or sell individually for $49–$99 as part of the upsell ladder.
29.Connect Stripe + PayPal for global payments.
30.Deliver through Whop or Skool for a smooth backend.
31.Add 2–3 upsells (for example: $997 mentorship, $2K partner offer).
32.If just 20 out of 400 buyers purchase at $500, that’s $10K/month baseline.
33.Scale to 10 accounts and you’re at $100K/month automatically.
34.Hire setters/closers to handle high-ticket DMs (4–10% conversion).
35.Reinvest profits into more accounts and distribution, and it compounds instantly.

3 months in → $10K/month.
6 months in → $100K/month.
12 months in → multiple 7 figures with full automation.

All done with zero ad spend, AI-written content, and a distribution system that never sleeps.

If you want the 5-module bootcamp AND the 65-page PDF blueprint breaking down exactly how I built this system from scratch…

Comment (pdf) and I’ll send it.

Must be following + Retweet to receive the guide

[Bach @swnbach]

@ecomchigga Pdf

[YeetTheRich_ @_Yeet_The_Rich_]

Hasan receives an incredible gift from a fan ❤️🇨🇳

[Scenezyn (Indefinite Hiatus) @scenezyn]

age verification aint shit bruh

[星街すいせい☄️Studio STELLAR @suisei_hosimati]

hum...😁