▲ 2 r/travel_deals+1 crossposts

[H] MMT vouchers for Flights, Hotels, Cabs, Trains, Packages worth 9K [W] 7.2K

URGENT
Do reply or DM to book today.
3 Gift cards [5K, 2K, 2K]

reddit.com
u/atul_k09 — 11 days ago
▲ 2 r/travel_deals+1 crossposts

[H] MMT vouchers for Flights, Hotels, Cabs, Trains, Packages worth 9K [W] 7.2K

URGENT
Do reply or DM to book today.
3 Gift cards [5K, 2K, 2K]

reddit.com
u/atul_k09 — 11 days ago
▲ 3 r/travel_deals+1 crossposts

[H] MMT myCash worth 9k (5k, 2k, 2k) to book flight, hotels, train or Bus for [W] UPI Rs. 8k

I have 3 GV already redeemed in my account worth 5k , 2k and 2k. If you want to book any flight, hotels or bus booking on MMT let me know. I will give you 10% off for any Voucher you want to use.

reddit.com
u/atul_k09 — 23 days ago

[H] Make My Trip GC worth 9k selling for [W]8.5k

I have 9k worth on MMT Gift voucher redeemed in my account and want to sell them for 8.5k
Reach out to me if you want to book any flight , hotels , train on Make My Trip.

reddit.com
u/atul_k09 — 23 days ago
▲ 4 r/FreelanceIndia+1 crossposts

Part-Time Fashion Content Strategist & Community Builder (Hybrid: Jaipur) | ₹15,000 - ₹25,000/mo⁠

Body:
Role: Part-Time (or dedicated monthly retainer)
Location: Hybrid (Remote work + 2x weekly store visits in Jaipur)
Salary: ₹15,000 - ₹25,000/month (Depending on your experience, local network, and ability to drive growth)

The Big Picture:
I run a local saree and lehenga business in Jaipur, and I’m looking for a Social Media Manager & Content Creator to help me build a real community around my brand. My goal is to post daily to grow our Instagram presence and drive actual foot traffic to the store.
I am not looking for someone to make highly complex, over-edited videos with crazy transitions. I want someone who understands how to write a great script, create strong hooks, and make simple, authentic content that local people actually want to watch and share.

What You’ll Actually Do:
Daily Content: Deliver roughly 20 Reels and 10-15 Carousel posts per month (averaging one post per day).
Shoot Raw Content: Visit the Jaipur store at least 2 times a week to shoot videos and photos of the inventory.
Scripting & Strategy: Focus heavily on writing scripts and hooks tailored for an Indian audience that maximize viewer retention.
Community Building: Actively engage with followers, reply to DMs, and collaborate with me to brainstorm business growth ideas.
Influencer Networking: Reach out to and collaborate with local Jaipur creators to expand our brand awareness.

Must-Haves (Non-Negotiable):
Proven Track Record: A portfolio showing at least 5 examples of content you’ve created that gained good reach.
Fashion Knowledge: A basic understanding of fabrics, styling, and design patterns (sarees, lehengas) to ensure the content makes sense.
Local Presence: You must be based in (or able to easily commute to) Jaipur.

Bonus Points If You Have:
UGC Skills: Ability to create face-to-camera or voiceover UGC content describing the style/product (no modeling required, just good storytelling).
Existing Network: Pre-existing connections with local Jaipur influencers.

How to Apply:
To weed out spam bots, please send me a direct message (DM) with:

  1. A link to your portfolio highlighting your 5 best-performing posts.
  2. A brief 1-2 sentence idea on how you would use local Jaipur influencers to drive foot traffic to a local saree shop.

I will review all applications and reply within 48-72 hours.

reddit.com
u/atul_k09 — 2 months ago

Automated our creative milestone tracking (Meta Ads -> Slack/Telegram) to save my team hours. Want to set it up for another agency for free.

Hey everyone,

Just wanted to share a workflow I built recently that solved a massive operational headache. If you run a high volume of ad creatives on Meta, you know the pain of constantly babysitting Ads Manager just to spot the exact moment a testing creative starts popping off so you can scale it or move budgets.

I wanted a system that completely removes the manual effort—something that constantly monitors the ad account in the background and instantly verifies a winner the second it hits specific performance milestones, without my team having to lift a finger.

We set up a multi-level structure based on compounding milestones. For example:

  • Level 1: Min $1,000 spend at a min 1.6x ROAS
  • Level 2: Min $5,000 spend at a min 1.5x ROAS
  • (Up to Level 5)

The moment a creative crosses a level, it instantly pings our dedicated Slack channel with the creative name, ID, exact spend, ROAS, and purchases.

The hardest part to figure out was deduplication. If an ad hits Level 1, you want the notification. But an hour later, that ad still has over $1k spend and a 1.6x ROAS. I didn't want our Slack getting absolutely spammed with duplicate pings for milestones we already saw.

To solve this cleanly for non-technical users, I built the automation engine in n8n but connected it to a Google Sheet.

  • Tab 1 is the control panel where a media buyer can change the ROAS/spend thresholds anytime without touching code.
  • Tab 2 acts as the system's "memory bank." It logs the Ad ID and the highest tier it already alerted. If n8n sees an ad is at Level 2, but the memory bank says we already sent a Level 2 alert, it silently skips it. If it climbs to Level 3, it fires a new alert and updates the sheet.

I also set the system to poll the Meta Graph API every hour. (Pro-tip: Don't do near-real-time or poll every 5 minutes on high-volume accounts; Meta will aggressively hit you with API rate limits and lock your token).

Here's the deal: I want to battle-test this system under a different agency's account structure to see how it handles their volume over the next month or two.

I am not selling anything, and I am not posting a link or a code block here to scrape engagement. I am willing to completely build and implement this exact system into your Meta, Google Sheets, and Slack infrastructure for free.

All I ask in return is that you are an established agency/media company actually spending real budget, you let your team use it for a month or two, and you give me honest feedback and a recommendation if it successfully saves your buyers time.

If your team is buried in Ads Manager and you want to automate your creative tracking on my dime, and we can look at your setup.

Curious how everyone else is keeping track of creative scaling thresholds right now?

reddit.com
u/atul_k09 — 3 months ago
▲ 2 r/PPC

Automated our creative milestone tracking (Meta Ads -> Slack/Telegram) to save my team hours. Want to set it up for another agency for free.

Hey everyone,

Just wanted to share a workflow I built recently that solved a massive operational headache. If you run a high volume of ad creatives on Meta, you know the pain of constantly babysitting Ads Manager just to spot the exact moment a testing creative starts popping off so you can scale it or move budgets.

I wanted a system that completely removes the manual effort—something that constantly monitors the ad account in the background and instantly verifies a winner the second it hits specific performance milestones, without my team having to lift a finger.

We set up a multi-level structure based on compounding milestones. For example:

Level 1: Min $1,000 spend at a min 1.6x ROAS

Level 2: Min $5,000 spend at a min 1.5x ROAS

(Up to Level 5)

The moment a creative crosses a level, it instantly pings our dedicated Slack channel with the creative name, ID, exact spend, ROAS, and purchases.

The hardest part to figure out was deduplication. If an ad hits Level 1, you want the notification. But an hour later, that ad still has over $1k spend and a 1.6x ROAS. I didn't want our Slack getting absolutely spammed with duplicate pings for milestones we already saw.

To solve this cleanly for non-technical users, I built the automation engine in n8n but connected it to a Google Sheet.

Tab 1 is the control panel where a media buyer can change the ROAS/spend thresholds anytime without touching code.

Tab 2 acts as the system's "memory bank." It logs the Ad ID and the highest tier it already alerted. If n8n sees an ad is at Level 2, but the memory bank says we already sent a Level 2 alert, it silently skips it. If it climbs to Level 3, it fires a new alert and updates the sheet.

I also set the system to poll the Meta Graph API every hour. (Pro-tip: Don't do near-real-time or poll every 5 minutes on high-volume accounts; Meta will aggressively hit you with API rate limits and lock your token).

Here's the deal:

I want to battle-test this system under a different agency's account structure to see how it handles their volume over the next month or two.

I am not selling anything, and I am not posting a link or a code block here to scrape engagement. I am willing to completely build and implement this exact system into your Meta, Google Sheets, and Slack infrastructure for free.

All I ask in return is that you are an established agency/media company actually spending real budget, you let your team use it for a month or two, and you give me honest feedback and a recommendation if it successfully saves your buyers time.

If your team is buried in Ads Manager and you want to automate your creative tracking on my dime, just shoot me a DM and we can look at your setup.

Curious how everyone else is keeping track of creative scaling thresholds right now?

reddit.com
u/atul_k09 — 3 months ago

Pivoting from WhatsApp wrappers to n8n backend automation. Freelancers/Agencies: what workflows are real businesses actually paying for right now?

Hey everyone,
I’m just starting out as an automation freelancer. Until recently, I was building WhatsApp chatbots for local businesses, but with WhatsApp rolling out its own native AI, the writing is on the wall. Basic wrappers just aren't a sustainable main service anymore.

I’m pivoting to infrastructure-level automation and have been diving deep into n8n. I can build complex workflows, handle the API logic, and integrate LLMs, but I’m missing the most important piece: **the actual business use case.**
I don't want to build workflows just because they are cool tech; I want to build what solves real operational bottlenecks.

For those of you who are successfully selling n8n automations to clients, I’d love to get your insights:

1 **What are the top 1 or 2 workflows you’ve actually sold?** (What specific problem were they solving?)

2 **What type and size of business bought them?** (e.g., local service businesses, mid-size e-commerce, B2B SaaS?)

3 **What tools are you integrating the most?** (Aside from the AI nodes—what CRMs, databases, or accounting software are clients actually using in the wild?)

I’m trying to figure out which niche to target first and what specific pain points I should be pitching. Any insights, reality checks, or advice on what not to build would be hugely appreciated!

reddit.com
u/atul_k09 — 3 months ago

Pivoting from WhatsApp wrappers to n8n backend automation. Freelancers/Agencies: what workflows are real businesses actually paying for right now?

Hey everyone,
I’m just starting out as an automation freelancer. Until recently, I was building WhatsApp chatbots for local businesses, but with WhatsApp rolling out its own native AI, the writing is on the wall. Basic wrappers just aren't a sustainable main service anymore.

I’m pivoting to infrastructure-level automation and have been diving deep into n8n. I can build complex workflows, handle the API logic, and integrate LLMs, but I’m missing the most important piece: **the actual business use case.**
I don't want to build workflows just because they are cool tech; I want to build what solves real operational bottlenecks.

For those of you who are successfully selling n8n automations to clients, I’d love to get your insights:

1 **What are the top 1 or 2 workflows you’ve actually sold?** (What specific problem were they solving?)

2 **What type and size of business bought them?** (e.g., local service businesses, mid-size e-commerce, B2B SaaS?)

3 **What tools are you integrating the most?** (Aside from the AI nodes—what CRMs, databases, or accounting software are clients actually using in the wild?)

I’m trying to figure out which niche to target first and what specific pain points I should be pitching. Any insights, reality checks, or advice on what not to build would be hugely appreciated!

reddit.com
u/atul_k09 — 3 months ago

Pivoting from WhatsApp wrappers to n8n backend automation. Freelancers/Agencies: what workflows are real businesses actually paying for right now?

Hey everyone,
I’m just starting out as an automation freelancer. Until recently, I was building WhatsApp chatbots for local businesses, but with WhatsApp rolling out its own native AI, the writing is on the wall. Basic wrappers just aren't a sustainable main service anymore.

I’m pivoting to infrastructure-level automation and have been diving deep into n8n. I can build complex workflows, handle the API logic, and integrate LLMs, but I’m missing the most important piece: **the actual business use case.**
I don't want to build workflows just because they are cool tech; I want to build what solves real operational bottlenecks.

For those of you who are successfully selling n8n automations to clients, I’d love to get your insights:

1 **What are the top 1 or 2 workflows you’ve actually sold?** (What specific problem were they solving?)

2 **What type and size of business bought them?** (e.g., local service businesses, mid-size e-commerce, B2B SaaS?)

3 **What tools are you integrating the most?** (Aside from the AI nodes—what CRMs, databases, or accounting software are clients actually using in the wild?)

I’m trying to figure out which niche to target first and what specific pain points I should be pitching. Any insights, reality checks, or advice on what not to build would be hugely appreciated!

reddit.com
u/atul_k09 — 3 months ago

[Hiring] Freelance Sales Closer for AI Automation Projects $15/hr base for meeting time

I have spent the last 3.5 years working as a Software Engineer at a major MNC. I am currently building custom AI automation solutions for businesses and handling 100% of the technical builds.
I am looking to hire a freelance sales expert to handle the outreach, discovery, and closing process.
What We Build
AI Booking Systems: WhatsApp and Website chatbots fully integrated with client CRMs.
Custom Automations: Extracting and analyzing data across different platforms using tools like n8n, Make, and Zapier to eliminate manual operational bottlenecks.
The Compensation
Base Rate: $15/hr for verifiable time spent actively on client discovery calls and meetings.
Commission: 30% to 50% revenue share on every deal you close, depending on your level of involvement in the sales cycle.
Software Costs: We will split the cost of the outreach and sales software tools 50/50. I am looking for someone who is willing to put some skin in the game for a high commission split.
Who I Am Looking For
• Proven freelance experience closing clients, preferably for tech services, SaaS, or marketing.
• Someone who understands how to sell outcomes (saving time, booking more meetings) rather than just selling "AI features."
• A self starter who is comfortable managing their own pipeline and outreach.
Next Steps
If you have a track record of closing deals and want a reliable technical builder to deliver on the promises you make, send me a DM. Please include a brief summary of your sales background and what niches you have experience selling into.

reddit.com
u/atul_k09 — 3 months ago

[Hiring] Sales Partner for AI Automation Agency (30 to 50% Rev Share)

I have spent the last 3.5 years working as a Software Engineer at a major MNC. I am now building an AI Automation Agency focused on creating real technical value for businesses, not just basic wrappers.
I handle 100% of the fulfillment and technical builds. I am looking for a pure sales expert to handle outreach, discovery, and closing.
What We Build
AI Booking Systems: WhatsApp and Website chatbots fully integrated with client CRMs.
Custom Automations: Extracting and analyzing data across different platforms using tools like n8n, Make, and Zapier to eliminate manual operational bottlenecks.
The Offer
30% to 50% Revenue Share on every deal you close. The exact split depends on your level of involvement in the sales cycle.
Shared Sales Infrastructure: We will split the cost of the software and tools required to build out our sales system 50/50. I am looking for a partner with skin in the game. You bring the sales expertise, I build the tech, and we share the upside.
Who I Am Looking For
• Proven experience closing B2B clients, preferably for tech agencies, SaaS, or marketing services.
• Someone who understands how to sell outcomes (saving time, booking more meetings) rather than just trying to sell "AI features."
• A self starter who is comfortable managing their own pipeline.
If you just want to work without revenue share the budget would be around $20
Next Steps
If you have a track record of closing deals and want a reliable technical partner to deliver on the promises you make, send me a DM. Please include a brief summary of your sales background and what niches you have experience selling into.

reddit.com
u/atul_k09 — 3 months ago

I’m a Software Dev building AI Agents for my agency clients. Here is why I moved past "simple chatbots."

I spent about 3.5 years in the dev trenches (Amdocs/AWS) before starting my own agency. One thing I’ve noticed? Most "AI chatbots" are useless because they live in a silo. They chat, but they don't do anything.
I’ve shifted my focus to building agents that actually talk to the business's existing stack. Here is the workflow I’m currently implementing for clients:

  1. The Filter: A chatbot that does more than just answer FAQs. It qualifies the lead, recommends specific products based on their needs, and pushes that data directly into the CRM.
  2. The Internal "Brain" (Telegram + RAG): I’ve built a custom Telegram integration where the business owner can query their own internal docs via RAG. If a customer asks something weird, the owner gets the context instantly on Telegram.
  3. Closing the Loop: Once the chat is done, the system automatically prepares an email draft based on the conversation history. The sales rep just hits "send."
    It’s not "fancy" AI—it’s just efficient software engineering applied to communication. For those of you adding AI to your agency offerings, are you finding that clients actually value these deeper integrations over "cool" looking UI?
reddit.com
u/atul_k09 — 3 months ago

📍 Location: WFH

💼 Experience: Minimum 1 Year

🏫 Industry: AI Automation & Tech Services
We are building custom AI sales assistants and automation systems for local SMEs, and we need a driven sales professional to help us expand.

🚀 Open Position:
• Business Development Executive (B2B Sales)

What We’re Looking For:
• 1+ year of proven experience in B2B sales, field sales, or telecalling.
• A solid track record of scheduling meetings and successfully closing deals.
• Strong communication skills to pitch modern AI tech simply to business owners.
• A self-starter motivated by a high-earning structure (Base Salary ₹8k-12k + Flat 20% Bonus on sales above ₹50k).
Preferred: Hands-on experience with modern CRMs and Lead Gen software (e.g., Apollo.io, HubSpot, Zoho, or LinkedIn Sales Navigator).

📧 Interested? Send your resume via DM.

Let’s scale the future of AI automation together!

u/atul_k09 — 4 months ago
▲ 362 r/n8nbusinessautomation+4 crossposts

I spent 2 months building a WhatsApp AI sales agent for my family's clothing store. 44 nodes, 2 AI agents, 8 conversation stages. Here's what I actually built.

My family runs a clothing store in Jaipur. Like most small retail shops in India, their entire customer interaction happens on WhatsApp.

Every day, my brother was handling the same messages manually:

  • "Kya available hai?" (What's available?)
  • "Budget 5000 hai, kya dikhao ge?" (Budget 5000, what can you show me?)
  • The same category and budget questions from 20 different people.
  • Customers waiting 30 minutes for a product link, giving up, and going elsewhere.

He was running Instagram to bring leads in. The leads were coming. But there was nothing on the other end to handle them. Just a phone and one person replying to everything.

I'd been learning n8n and building small AI workflows for a while. I thought: this is exactly the problem automation is supposed to solve.

What I didn't expect was how long it would take.

Version 1 was embarrassing. A basic webhook that sent a canned reply. Fine for testing, useless for real customers.

The real problem hit around version 3. A customer sends "hi", the agent greets them, they say they want something, the agent jumps straight to asking for their name and budget. Same customer messages the next day. The agent has no idea who they are.

No memory. No routing. No sense of where a customer is in their journey.

I started over properly.

The final system: 44 nodes, 2 AI agents

Entry layer (before AI even runs):

Every incoming WhatsApp message passes through a filter first:

  • Is this from the store's own number? Ignore.
  • Is it from a group chat? Ignore.
  • Did the customer send "START" or "STOP"? Route separately.
  • Is this number on an exclusion list (Friend/STOP role in Google Sheets)? Block.

Only after all of that does the message go anywhere useful. This alone cut a lot of noise.

The status router (the part that took the most time):

Before any agent runs, the system fetches the customer's current status from Google Sheets. That status is one of:

  • New Lead
  • Follow-up
  • Order Booking
  • Product Not Found
  • Complaint

Status is "Order Booking"? The message goes directly to the Order Booking Agent, skipping the main agent completely. Customer sends exactly "PP" (short for "price please")? Also routes to the Order Agent, but in a price-lookup mode.

Everything else goes to the Main Sales Agent.

Getting this routing right took weeks. The edge cases were brutal. A customer mid-order should not be re-greeted by the main agent. A customer who just confirmed "Haan" (yes) and is waiting for order details should not get the intent detection flow again. It sounds obvious when I say it. It is not obvious when you're building it.

The Main Sales Agent (8 stages):

One AI agent, one long system message, 8 stages of a real sales conversation:

  1. Greeting (once only, never repeated mid-conversation)
  2. Intent Detection (no lead capture until buying intent is clear)
  3. Product Availability (searches Pinecone vector store before answering)
  4. Lead Capture (Name, City, Budget, Category, Occasion)
  5. Product Link Sharing (max 3 links per message, fetched from Google Sheets by Category + Budget)
  6. Order Intent Handoff (the agent sets status to "Order Booking" and stops, never confirms itself)
  7. Price Query (real price pulled from Item Price sheet by Item Code, never assumed)
  8. FAQ + Human Handoff (Pinecone search for policy questions, STOP keyword exits the flow)

Two things the main agent can never do: confirm an order and make up a price. If it doesn't have the price, it says so. Order confirmation only happens in the next agent.

The Order Booking Agent:

A separate dedicated agent. Takes over once the customer is ready to buy.

Collects: Item Code, delivery date, any special preferences. Displays an order summary. Waits for the customer to type "FINAL". Only then does it write the order to the Orders sheet.

It also handles a "PP Mode" where customers jump straight to price inquiry by sending "PP", get the exact price from the sheet, and can then confirm or exit.

The business notification system:

When the main agent says something like "team aapse jald contact karegi" (team will contact you soon), a third agent picks up the output, pulls the full customer record and any order details from Google Sheets, and sends a structured summary directly to the store's WhatsApp number. The owner gets the full picture immediately without hunting for context.

Tech Stack:

  • n8n (self-hosted) for orchestration
  • OpenAI GPT-4o for both agents
  • Pinecone for FAQ vector search
  • Google Sheets as the database (Leads, Orders, Product Catalog, Item Prices)
  • WhatsApp Cloud API for messaging
  • Shared buffer memory window across all three agents

It's been running with real customers for a few weeks. Not flawless. The AI still occasionally asks for something it already has. But the main flow works, and my brother is no longer stuck on WhatsApp for hours every day.

The thing that surprised me most: the AI was not the hard part. Designing the state machine was. Knowing which agent should handle a message, what that customer already told us, and what happens when they switch context mid-conversation is a much harder problem than writing a good system prompt.

If I were starting over, I'd draw the routing logic on paper before touching n8n at all.

Attaching screenshots of the workflow canvas below. Happy to answer questions on specific nodes or decisions.

What would you have done differently?

u/atul_k09 — 3 months ago