Freelancers using HubSpot in Bengaluru
Freelancers using HubSpot in Bengaluru
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Aryabhatta @SanganakHQ
pro
Bengaluru, India
Top 1% | Founders-Led Studio | 25+ Products Shipped
$10k+
Earned
13x
Hired
5.0
Rating
166
Followers
Expert
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Top 1% | Founders-Led Studio | 25+ Products Shipped
12
GoHighLevel CRM System Integration for Hollywood Wigs Brand
12
19
10
Supportive Care ABA Website Development
1
10
9
32
“Fix Your Broken Brand | Design · Code · Marketing — Done Right” Most designs look nice. Most apps look cool. Most campaigns look great. But if it doesn’t convert, load fast, or make money — it’s broken. That’s what we fix. At SanganakHQ, we rebuild “vibe-coded” brands, apps, and campaigns that look good but perform like college projects. From AI-generated designs and buggy codebases to marketing funnels that don’t deliver — we turn them into systems that actually perform. 🚀 Fix Your Broken Brand | Design · Code · Marketing — Done Right 🔗 Check it out here: https://contra.com/s/kAYLgsZQ-fix-your-broken-brand-or-design-code-marketing-done-right We don’t make it pretty. We make it profitable. Aryabhatta | Founder, @SanganakHQ
2
27
32
2.8K
24
The SanganakHQ Growth Engine Protocol
2
24
23
HubSpot
(4)
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Ash B
Bengaluru, India
Digital Marketing Expert
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Digital Marketing Expert
0
Squiz.net Hubspot Landing Page
0
15
0
Algotive.ai Hubspot Project
0
17
0
Contracts365
0
16
0
Solar Art Hubspot Project
0
10
HubSpot
(4)
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Sparsh Gupta
pro
Bengaluru, India
Helping B2B businesses unlock growth with AI & Automations
$5k+
Earned
5x
Hired
5.0
Rating
17
Followers
Follow
Message
Helping B2B businesses unlock growth with AI & Automations
0
Enrich & qualify leads with HubSpot, OpenAI & Bright Data
0
8
0
LinkedIn CRM Outreach Automation Project
0
13
0
Automated PDF Generation using Zapier
0
7
0
Airtable Workflow Automation and AI Chatbot for Bakery Brand
0
12
HubSpot
(1)
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Himanshu @ Flowtrix
pro
Bengaluru, India
Your Webflow partner for conversion-first, scalable websites
$5k+
Earned
2x
Hired
5.0
Rating
14
Followers
expert
Certified Partner
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Your Webflow partner for conversion-first, scalable websites
0
How Flowtrix Helped Saral Scale with 40% Growth
0
3
1
Wayground’s Webflow Launch Drove 2.5x Engagement
1
14
1
Built Monk-E’s new Webflow home for India’s creator economy
1
5
0
Akirolabs Website Redesign and Development
0
4
HubSpot
(2)
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Tanish Kinra
pro
Bengaluru, India
I turn websites and products into conversions and cash.
expert
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I turn websites and products into conversions and cash.
0
Nudge - Concept to Launch in 1 month
0
7
0
Nudge - Website Design and Development
0
4
0
Prorata Website Design for Luxury Car Co-Ownership
0
7
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HubSpot
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Prabhat Kumar
Bengaluru, India
Java Engineer Building AI Automations & Integrations
New to Contra
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Java Engineer Building AI Automations & Integrations
0
AI Lead Enrichment & CRM Automation Platform Built an AI-powered lead enrichment and CRM automation platform designed to help sales teams identify high-quality prospects, enrich lead data automatically, and streamline outreach workflows. The platform combines AI, external data sources, CRM systems, and workflow automation to reduce manual research while improving lead quality and sales efficiency. Key Features • Automated lead enrichment • Company and contact research • AI-generated personalized outreach emails • CRM synchronization • Lead scoring system • Sales pipeline automation • Contact validation • Automated follow-up workflows • Multi-source data aggregation • Analytics and performance tracking Business Impact ✓ Reduced manual lead research ✓ Increased sales team productivity ✓ Improved lead quality ✓ Faster prospect qualification ✓ Higher outreach efficiency ✓ Better CRM data accuracy ✓ Increased pipeline visibility Technology Stack • Java • Spring Boot • PostgreSQL • OpenAI API • REST APIs • CRM Integrations • Workflow Automation • Analytics Dashboard Results • Reduced lead research time by approximately 80% • Automated prospect enrichment process • Improved CRM data quality • Increased sales team efficiency • Faster lead qualification workflows This solution demonstrates how AI can automate prospect research, improve lead quality, and accelerate sales operations.
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41
0
Built a collection of AI-powered business automation systems focused on solving real operational problems. Projects included: 🚀 AI Customer Support Assistant An OpenAI-powered support system that answers customer questions using company documentation, FAQs, and knowledge bases while reducing repetitive support workload. 🚀 AI Lead Enrichment & CRM Automation Automated lead qualification, enrichment, CRM synchronization, and outreach workflows to improve sales efficiency and conversion rates. 🚀 AI Business Operations Automation Suite Centralized automation platform for internal operations, reporting, document processing, notifications, approvals, and workflow management. 🚀 AI Document Processing & Workflow Automation AI-powered document extraction, classification, validation, and routing system designed to eliminate manual data entry and processing bottlenecks. Tools & Technologies: • OpenAI • AI Automation • Workflow Automation • Java • Spring Boot • PostgreSQL • REST APIs • CRM Integrations My goal is to build AI systems that automate repetitive business processes, reduce operational costs, and help teams scale more efficiently.
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75
0
AI Document Intelligence & Invoice Processing Platform Description Built an AI-powered document intelligence platform designed to automate invoice processing, document classification, data extraction, and approval workflows. The system uses AI, OCR, and workflow automation to process business documents automatically, eliminating manual data entry and reducing processing delays across finance and operations teams. By integrating with existing databases and business systems, the platform transforms unstructured documents into actionable business data. Key Features • AI-powered document analysis • Invoice data extraction • OCR-based document processing • Automated approval workflows • Purchase order matching • Vendor management integration • Document classification • Data validation system • Real-time processing dashboard • Automated reporting and audit trails Business Impact ✓ Reduced manual data entry ✓ Faster invoice processing ✓ Reduced processing errors ✓ Improved financial visibility ✓ Faster approval cycles ✓ Reduced operational costs ✓ Increased productivity across teams Technology Stack • Java • Spring Boot • PostgreSQL • OpenAI API • OCR Processing • REST APIs • Workflow Automation • Analytics Dashboard Results • Automated document processing workflows • Reduced invoice processing time by approximately 75% • Improved data accuracy • Reduced manual administrative effort • Accelerated approval and payment cycles This solution demonstrates how AI-powered document intelligence can automate finance and operational processes while improving accuracy, compliance, and efficiency.
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36
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AI Customer Support Assistant Built an AI-powered customer support platform designed to automate customer interactions, reduce support workload, and provide instant assistance using company documentation and knowledge base content. The system leverages OpenAI, enterprise knowledge bases, and backend automation to deliver accurate, context-aware responses while seamlessly escalating complex issues to human agents when needed. Key Features: • OpenAI-powered conversational assistant • Knowledge base search and retrieval • FAQ automation system • Context-aware customer responses • Human escalation workflow • Multi-channel support integration • Customer interaction analytics • Real-time response monitoring • REST API architecture • Enterprise-grade backend services Business Impact: ✓ Reduced repetitive support workload ✓ Faster customer response times ✓ 24/7 automated customer assistance ✓ Improved customer satisfaction ✓ Consistent support experiences ✓ Lower operational costs ✓ Increased support team efficiency Technology Stack: • Java • Spring Boot • PostgreSQL • OpenAI API • REST APIs • Docker • Maven • Knowledge Base Integration Results: • Automated approximately 80% of common support requests • Reduced average response time from hours to seconds • Reduced manual support workload by approximately 60% • Improved scalability without increasing support staff This solution demonstrates how AI-powered customer support systems can improve customer experience while significantly reducing operational overhead.
0
46
HubSpot
(1)
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Rahul Desai
Bengaluru, India
Automation Consultant — n8n & Make.com | Lead Intake Systems
New to Contra
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Automation Consultant — n8n & Make.com | Lead Intake Systems
0
AI-Powered Lead Qualification System — Zero Manual Data Entry Built an end-to-end lead capture and qualification system for a B2B service business using Make.com (http://Make.com), OpenAI GPT-4, and HubSpot. THE PROBLEM: The sales team was manually copying lead data from forms into CRM, losing 6+ hours per day and missing hot leads entirely. By the time a rep reached out, the prospect had already talked to 3 competitors. THE SYSTEM I BUILT: → CAPTURE: Typeform webhook triggers automation the instant a form is submitted → QUALIFY: OpenAI GPT-4 scores lead intent (1-10) based on message content, budget signals, and role seniority → ENRICH: Apollo.io (http://Apollo.io) API appends company size, revenue, tech stack, and LinkedIn URL automatically → ROUTE: Hot leads (score 7+) create HubSpot deals + instant Slack alert to assigned sales rep with full context → NURTURE: Cold leads enter a 7-day email sequence before sales touches them → SYNC: Bi-directional sync between HubSpot and Google Sheets reporting dashboard for real-time pipeline visibility THE RESULTS: • Lead-to-CRM time: 4 hours → 90 seconds • Sales rep prep time per lead: 15 minutes → 30 seconds • Data loss rate: 0% • Sync accuracy: 99.7% TECH STACK: Make.com (http://Make.com) | OpenAI GPT-4 | HubSpot | Apollo.io (http://Apollo.io) | Slack | Google Sheets | Typeform WHY THIS WORKS: Sales teams shouldn't do data entry. This system ensures every lead is scored, enriched, and routed before the prospect even closes the Typeform tab.
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14
0
Agency Onboarding Automation — From Contract to Project Launch Without Manual Setup Built a client onboarding machine for a digital agency that eliminates 2+ hours of manual admin every time a new client signs. THE PROBLEM: New client signs the contract → account manager manually creates a Slack channel, Google Drive folder, Asana project, and sends a welcome email 2 days later. Clients felt ignored. Projects started slow. Project managers wasted hours on setup instead of strategy. THE SYSTEM I BUILT: → TRIGGER: PandaDoc/HelloSign contract signature instantly fires webhook → QUALIFY: Parse contract value, service type (SEO, PPC, Web Design), and team size to determine onboarding tier (Standard vs. Premium) → CREATE: Auto-generate Slack channel with client + internal team, Google Drive folder structure with template documents, and Asana project from pre-built template with all milestones → ASSIGN: Push client data to HubSpot CRM, notify finance team in Slack, and assign project manager based on current workload and expertise match → WELCOME: Client receives personalized welcome email with project timeline, team contacts, kickoff meeting link, and onboarding checklist within 10 minutes of signing → SYNC: All project data synced to agency dashboard for leadership visibility THE RESULTS: • Onboarding initiation: 48 hours → 10 minutes • Admin time per new client: 2 hours → 5 minutes • Client satisfaction score (onboarding phase): +40% • Project setup consistency: 100% across all teams TECH STACK: Make.com (http://Make.com) | PandaDoc | Slack | Google Drive | Asana | HubSpot | Google Workspace WHY THIS WORKS: First impressions are everything. This system makes clients feel like they're working with a machine-precision agency from minute one — because they are.
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23
0
E-Commerce Auto-Fulfilment System — From Order to Label Without Touching a Spreadsheet Built a fully automated order-to-fulfillment pipeline for a D2C brand selling across Shopify, Amazon, and their own store. THE PROBLEM: The operations team manually copied orders into spreadsheets, checked inventory against 3 separate sources, created shipping labels one by one, and updated tracking numbers by hand. 3 hours of daily grunt work. 8% error rate. Delayed shipments. Angry customers asking "where is my order?" THE SYSTEM I BUILT: → CAPTURE: Shopify order webhook fires instantly on every purchase. Amazon SP-API pulls orders every 15 minutes into the same pipeline. → VALIDATE: Auto-check inventory in Google Sheets. Flag low-stock SKUs for reorder. Route expedited orders to priority queue. → PROCESS: Generate shipping label PDF automatically via Shiprocket API. Create invoice in Zoho Books. Update inventory count across all channels in real-time. → SYNC: Push order status, tracking number, revenue data, and shipping cost to master Google Sheets dashboard for ops visibility. → NOTIFY: Customer receives automated email/SMS with tracking link within 5 minutes of order confirmation. → ALERT: Operations manager gets daily summary + instant alert on failed orders with retry logic and error context. THE RESULTS: • Manual processing time: 3 hours/day → fully autonomous • Order processing errors: 8% → 0.2% • "Where is my order?" support tickets: -60% • Scales to 10,000+ orders/month without adding staff TECH STACK: Make.com (http://Make.com) | Shopify | Amazon SP-API | Google Sheets | Shiprocket | Zoho Books | Twilio | PDF Generator WHY THIS WORKS: E-commerce margins are thin. Every minute of manual processing and every fulfillment error eats profit. This system runs 24/7 without breaks, mistakes, or overtime pay.
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17
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Real Estate Auto-Response System — Capture Every Inquiry in 60 Seconds Designed a 24/7 inquiry response engine for a real estate agency handling 50+ daily leads across property portals, Facebook, and WhatsApp. THE PROBLEM: Agents were responding to inquiries 4-6 hours later. By then, prospects had already contacted 3 competitors and scheduled viewings elsewhere. The agency was bleeding money on ad spend but losing deals to response speed. THE SYSTEM I BUILT: → CAPTURE: All form submissions and WhatsApp messages hit a unified n8n webhook → QUALIFY: Parse budget range, location preference, and property type from natural language inquiry text using regex + AI classification → MATCH: Query Airtable inventory database and return top 3 matching listings based on budget, location, and availability → RESPOND: Send personalized WhatsApp auto-reply with listing photos, prices, and agent contact within 60 seconds — 24/7, even at 2 AM → LOG: Every conversation automatically logged to Airtable CRM with full context → FOLLOW-UP: Create follow-up task with reminder for agent if no response within 24 hours → ALERT: Agent gets mobile Slack notification with full inquiry context, suggested response, and client LinkedIn profile THE RESULTS: • First response time: 4 hours → under 60 seconds • Inquiries lost to delay: 0 • Agent conversations handled per day: 3x increase • Listing view-to-meeting conversion: +35% TECH STACK: n8n | Airtable | WhatsApp Business API | Google Forms | Slack WHY THIS WORKS: In real estate, speed wins. This system ensures every inquiry gets a personalized, instant response with matching listings — while the prospect is still interested.
0
19
HubSpot
(1)
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Shubh Agrawal
Bengaluru, India
Generalist, Founder and Growth guy for Startups!
2x
Hired
4
Followers
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Generalist, Founder and Growth guy for Startups!
0
Growth for Valley 🏔️ - B2B Saas
0
11
0
Newsletter, Podcast & Growth at Spacekayak
0
10
0
Fidato Health - Mental health Platform
0
10
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