Vibe coders are getting sued.
People are launching apps with real users but skipping the boring stuff that can actually kill the product.
A developer with 20+ years of experience just shared the pre-launch checklist every AI builder should run:
→ privacy policy if you collect user data
→ know where user data is stored
→ check security headers
→ scan against OWASP basics
→ look for SQL injection / XSS / auth issues
→ make sure .env values are not leaking
→ check API responses for sensitive data
→ remove secrets from logs
→ never expose API keys in frontend code
→ move keys server-side or behind a proxy
→ add rate limits before someone burns your API bill
This is what most vibe coders are missing.
AI can help you build the app.
But if you launch without security, privacy, and abuse checks...
you didn't ship a product.
you shipped a liability.
If you are a Vibecoder using Codex do this for a free $300 Credit
Go to https://t.co/qjLgBlNIOU and sign up (I used email signup)
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Connect your Telegram
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Create your API key
Copy & save the API key somewhere safe and that's it
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You’ll get about $66 credits weekly for 4 - 5 weeks
You can also invite friends and both of you get extra bonus credits.
Not sponsored.
Not asking anyone to spend money.
Just sharing because free credits like this can genuinely help builders get started
Thanks to my partner @Panchu2605 for the alpha ☺️
Pinterest does not have an AI detection system + has 480 million monthly active users w an average household income of $75k + a single static image generated in midjourney drives traffic to amazon for 6 to 18 MONTHS while every tiktok video u've ever posted died in 17 minutes.
This is the most underpriced distribution channel on the internet right now n nobody under 30 is touching it bc they think it's "a mood board app"...
The numbers ur marketing professor never updated his slides on:
- Pinterest 2026 MAU = 480M
- US Pinterest users = 86M
- 85% female, 14% male, 1% other
- Median household income = $76,400
- 87% of weekly users have bought something they saw on the platform
- 96% of searches are unbranded ("kitchen ideas," "small bathroom," "fall outfits")
- Average pin lifespan = 6-18 months of compounding traffic
- Pinterest organic CPM equivalent = $0.12
- Tiktok organic CPM = $2-4
- Instagram organic CPM = $6-12
- Facebook PAID CPM = $40-60
- Pinterest = 50 to 400x more reach per piece of content for the same effort
A static jpeg generated in nano banana pro in 14 seconds will drive traffic to ur amazon affiliate link for the next 11 months while a tiktok video u edited for 4 hours is dead in 17 minutes.
The asymmetry is so obvious it's offensive...
Move 1, pick the seasonal evergreen niche FIRST
Pinterest is 100% intent-based search + the highest CPM categories are seasonal evergreens that print every single year:
- Home decor + small space organization (CPM $14, perpetual)
- Skincare routines + clean beauty (CPM $11, perpetual)
- "What to wear" outfit boards (CPM $9, seasonal + perpetual)
- Kitchen tools + recipe roundups (CPM $12, perpetual)
- Weight loss + GLP-1 lifestyle content (CPM $18, highest paying vertical right now)
- Christian motherhood + christian aesthetic (CPM $14, perpetual, almost no AI operators)
- "Country living" + cottagecore (CPM $11, perpetual)
- Pet styling + dog accessories (CPM $9, growing 38% YoY)
Each pin u publish in these niches drives traffic for 6-18 months + compounds w every additional pin u publish in the same category bc Pinterest's algorithm rewards pinner consistency + board topical density.
Move 2, generate the visual asset in nano banana pro inside google flow ultra ($99/mo)
The format that prints on Pinterest:
- 1000x1500px vertical pin
- Aesthetic image w 4-6 product placements visible
- Text overlay w specific keyword phrase ("12 farmhouse kitchen ideas under $50")
- 3-5 versions per pin to test which thumbnail converts
Total render time per pin = 14 seconds. Total pins per day per operator = 80-140.
Move 3, the title structure that hits Pinterest's algorithm
Pinterest is a SEARCH ENGINE. The algorithm rewards keyword density in the title + description + alt text. Title template:
- "[Number] [Adjective] [Noun Category] for [Specific Use Case]"
- "[Aesthetic Word] [Product Category] Under $[Price Point]"
- "How to [Aesthetic Outcome] in [Time Frame]"
Examples: "14 Cozy Living Room Ideas Under $200" / "8 Farmhouse Kitchen Organizers I'm Obsessed With" / "How to Get a Glow Up in 30 Days"
This title structure converts at 4-7x higher CTR than artistic / cute / branded titles bc Pinterest users are literal-mindedly searching the EXACT phrasing.
Move 4, the amazon associates per-pin tracking architecture
Each pin links to an amazon "idea list" (a free amazon feature 99% of operators don't use). The idea list contains 6-12 products related to the pin's theme. Each product has ur amazon associates tracking link auto-applied. The pinner clicks through the pin → lands on the idea list → can buy any of 6-12 products + u get commission on ALL of them within a 24 hr cookie window.
Average revenue per pin in evergreen niches = $34-$94/mo of compounding amazon commissions over the life of the pin.
Move 5, the 80-pin/day cadence that triggers Pinterest's growth algorithm
Pinterest rewards volume + consistency. New accounts that publish 80-140 fresh pins/day for 30 straight days move from "new pinner" to "established pinner" tier inside 30 days. At that point Pinterest starts pushing ur pins into the "fresh" + "trending" feeds bc the algorithm now classifies u as a high-velocity content source.
Day 1-7 = nothing happens.
Day 8-21 = first 4-7 pins start crossing 4k impressions/each.
Day 22-30 = 1-2 pins cross 80k impressions + u start getting amazon click data.
Day 30-60 = compound stage begins. Older pins start ranking. New pins inherit faster.
Day 60-90 = $4-12k/mo in amazon commissions from 1 account.
Day 90-180 = $8-30k/mo as the compounding library hits scale.
Move 6, stack 4 niche accounts on 1 operator
- "Cozy home + farmhouse" account (women 35-65, home decor amazon vertical)
- "Glow up + clean girl" account (women 22-35, beauty amazon vertical)
- "Christian motherhood" account (women 28-48, faith + family amazon vertical)
- "Pet aesthetic + dog mom" account (women 28-45, pet amazon vertical)
Combined operator revenue at maturity = $40-120k/mo from 4 accounts on $99/mo software spend. 99.5% gross margin...
Move 7, the 5x multiplier nobody knows about (Pinterest Trends)
Pinterest publishes a free trends dashboard at trends.pinterest. com. It shows search volume for every category 6-12 months ahead of actual buying patterns. Pinterest users plan purchases 90-150 days before they buy. The trends dashboard tells u exactly what to publish 90 days from now to capture demand BEFORE the brokies pile in.
The dashboard is FREE. 96% of Pinterest creators do not use it. The 4% who do = the operators clearing $30k+/mo on the platform...
(btw amazon's bonus pool kicks in at scale through MCN-level agency aggregation. Solo Pinterest operators get base amazon associates rates of 3-8%. Agency-aggregated operators get a cumulative 18-24% effective rate bc the agency negotiates the bonus pool across 280+ creators on the same brand portfolios. The brand thinks they're paying out at standard associates rates. They're paying us at premium tiered rates. The brand doesn't know. We are not going to tell them.)
Sometimes a 480 million MAU platform sits there w 86 million US buyers at $76k median income + the lowest CPM equivalent in the entire internet + a 6-18 month content lifespan + 0% AI detection + 0% moderation pressure + every operator on twitter ignores it bc it doesn't have a follower count flex.
Their ego = ur 18 month compounding asset.
The agency = ap3x .spot
1 of fewer than 10 MCN-level tiktok agency partners globally. The Pinterest vertical is currently the highest priority opening we're filling this month bc the platform's organic distribution is at a 4 year low CPM + we just locked premium aggregated amazon rates that double the per-pin revenue solo operators can access.
We don't sell info. We 1:1 coach operators directly into a contractually hired position inside the agency. Mid 5-figure brand retainer base + ongoing % of every campaign we plug u into + ur share of the aggregated amazon bonus pool + every team dinner comped + quarterly agency trips.
$55M+ across 12 ppl in <12 months. 15 May spots open. Nearly 2k applications in. We hand pick.
Apply or stay running tiktok videos that die in 17 minutes while ur pinterest competition compounds for 18 months lmfaoooo 😂
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The time has come, these are my settings :
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Obviously all of this depend on the bitcoin:native movement you need to WATCH your trades and close them when you are satisfied.
Im just a normal guy like you,but i can tell you for sure my quant dev is not a normal guy. @davidyjeong is the creator of this KILLER DGrid bot and he deserves some credit.
Follow/Like and Repost.
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"Hermes Agent” bisa mempertahankan memori lintas sesi, lalu membuat dan mengembangkan skill sendiri dari experience ‼️
berikut 10 repo GitHub untuk benar-benar memaksimalkan Hermes Agent kamu :
🔸Hermes Agent main body
Github : https://t.co/0wjkLHLiFF
Repository core resmi dari Nous Research. Menggunakan lisensi MIT, jadi bebas digunakan.
🔸Hermes-Wiki
Github : https://t.co/nu6zsfOzrq
Wiki komunitas yang menjelaskan source code Hermes Agent. Berguna untuk memahami implementasinya.
🔸Hermes Atlas / Hermes Ecosystem
Github : https://t.co/924eH85bPG
Peta ekosistem Hermes. Bisa melihat gambaran 100+ tool dan skill, serta mendukung pencarian RAG.
🔸Hermes Control Interface
Github : https://t.co/bYjX00DWgK
Dashboard self-hosted. Bisa mengelola banyak agent, task jangka panjang, dan memori dalam satu tampilan.
🔸Hermes Skill Factory
Github : https://t.co/5ocYaBsumf
Mereview task yang sudah dikerjakan, lalu otomatis membuat dan menambahkan skill baru. Agent bisa membuat “senjata” atau kemampuannya sendiri.
🔸Maestro
Github : https://t.co/VZFsMODwiM
Tool multi-agent yang berjalan lokal. Bisa menghubungkan Codex, Claude Code, dan Gemini, sambil mengelola memori terstruktur serta handoff antar-agent.
🔸Hermes Agent Camel
Github : https://t.co/NmGgwxdiGP
Versi fork yang sudah memasukkan trust boundary atau batas keamanan CaMeL. Cocok untuk proteksi saat digunakan di production.
🔸Hermes HUD
Github : https://t.co/QPHkEU1Hrp
Terminal monitoring berbasis Textual/TUI. Bisa memvisualisasikan alur “kesadaran” agent dan kondisi memorinya secara real-time.
🔸Hermes Alpha
Github : https://t.co/gKMVxkS1Lc
Template deployment Hermes Agent untuk environment cloud. Sudah termasuk Makefile dan contoh konfigurasi.
🔸Awesome Hermes Agent
Github : https://t.co/xhmhb1OU3n
Daftar kurasi komunitas berisi plugin, prompt, dan materi belajar seputar Hermes Agent.
jika kalian pakai hermes agent, bookmark ini.
I cut my Claude Code bill by 70% with 3 GitHub repos
Tested 10 repos that claim to save tokens. Ran each one for a full day on real projects
Most were hype. 3 actually changed my workflow
Here's what they do and how to set each one up:
1. RTK (Rust Token Killer)
The problem: every terminal command you run like "npm install", "git log", test suites, build output
It gets dumped raw into Claude's context. You're paying for Claude to read thousands of lines of noise
The fix: RTK is a CLI proxy that sits between your terminal and Claude. It filters output before it hits context
How to set it up:
- install the binary (one command, zero dependencies)
- it auto-detects Claude Code sessions
- runs silently in the background
- no config needed, works out of the box
My result: 60-90% reduction on terminal-heavy sessions
Best for: developers who run builds, tests, or installs frequently during Claude sessions
2. Caveman Claude
The problem: Claude responds like a teacher by default, full explanations, caveats, context. Helpful when learning, but expensive when shipping
The fix: one line in your CLAUDE.md that rewrites Claude's output behavior to be compressed and terse
How to set it up:
- clone the repo
- copy the prompt snippet into your project's CLAUDE.md
- DONE! Claude immediately responds in compressed mode
- Toggle it off anytime by removing the line
My result: 65-75% fewer output tokens with identical code quality
I compared outputs side by side for a full day, same code, same logic, half the tokens
Best for: experienced developers or code users who don't need Claude to explain what it's doing
3. Context Mode
The problem: if you use MCP tools (Playwright, GitHub API, browser, any external tool), their raw responses flood your context silently, literally single page read can eat thousands of tokens
The fix: sandboxes all tool output into SQLite and only passes clean summaries into your conversation
How to set it up:
- install as a Claude Code plugin
- it auto-intercepts MCP tool responses
- raw data goes to local SQLite
- Claude only sees the summary
My result: 98% context reduction on tool-heavy workflows
Best for: anyone running Playwright, browser tools, API calls, or multiple MCP servers
How to stack all 3:
- RTK cleans the input (terminal noise)
- Caveman cleans the output (verbose responses)
- Context Mode cleans the tools (MCP bloat)
Each fixes a different layer and together they compound
You don't need all 3, just pick based on your workflow:
heavy terminal output? → start with RTK
output too verbose? → start with Caveman
lots of MCP tools? → start with Context Mode
Quick test right now: run /context in a fresh Claude Code session and check how much context is already used before you type anything
If it's over 20%, you're leaking tokens
All repo links in the comments
Save it.
TOP 11 FREE AI COURSES TO TRY IN 2026:
1. Foundation of Prompt Engineering
👉https://t.co/HE7F2RXR9A
2. Retrieval Augmented Generation
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3. AI Essential Courses
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4. Intro to Generative AI
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5. Intro to Responsible AI
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6. LLMOps
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7. CS50 Introduction to AI with Python
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8. Introduction to AI
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9. Academy Resources
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10. A Practical Guide to Building Agents
👉 https://t.co/GWsEGRcAD8
11. Prompt Engineering for ChatGPT
👉 https://t.co/fpvRp2xqpS