Freelancers using NotebookLM in New York
Freelancers using NotebookLM in New York
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Albert Punj
Hoboken, USA
I help small businesses get more customers online.
5.0
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13
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I help small businesses get more customers online.
21
Custom AI Content Automation System for Brand Growth Designed and implemented a custom content automation workflow enabling small teams to create and distribute content at scale with minimal manual effort. The system integrates tools like OpenAI, Gemini, NotebookLM, HeyGen, ElevenLabs, and trend research into a single streamlined workflow—allowing one or two people to efficiently produce text, visuals, video, and audio while maintaining brand consistency. What this enables Faster research-to-content turnaround Multi-format content generation Consistent brand voice using templates Reduced dependency on large marketing teams Outcome Significantly reduced content creation time and enabled higher output without increasing headcount. Built as a custom internal system tailored to the client’s workflow.
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Yogaverse - Wellness App for Adults 40+ Built a full-stack wellness app that creates personalized yoga and exercise plans based on smart assessments. Features: • Intelligent recommendation engine analyzing flexibility, endurance & lifestyle • Duolingo-style gamification (streaks, badges, leaderboards) • Guided yoga sessions with step-by-step instructions • Progress tracking dashboard • Stripe subscription payments • Secure user authentication Tech: React, TypeScript, Node.js, PostgreSQL, Tailwind CSS, Stripe Combines the engagement of Duolingo with Strava-style tracking - built for an underserved niche.
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Designed and implemented a custom AI-driven lead capture system where customer conversations (chat or voice) automatically collect contact details, qualify leads, and push them into a single sales funnel. The system triggers structured email follow-ups with a human-in-the-loop approval step, allowing small teams to review and control messaging before it goes out. This enabled 1–2 people to manage inbound leads, follow-ups, and scheduling efficiently—delivering big results without adding staff.
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YouTube Podcast Translator — language access without platform limits We built a custom YouTube podcast translation tool to remove friction caused by YouTube’s native translation limitations. While some newer videos support auto-translation, millions of YouTube videos remain English-only due to creator settings, regional restrictions, or missing prerequisites. This solution bypasses those constraints. Users can paste any YouTube video link — old or new — and receive a translated audio version in their preferred language. How it works: Accepts any public YouTube URL Extracts the original transcript Translates content using LLMs Converts the translation into natural-sounding speech Outputs playable audio The system works independently of YouTube’s translation rules. Supported languages: English, Spanish, Hindi (Designed to expand)
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Gokulakrishnan Balaji
New York, USA
Custom Agentic AI System for Lead Qualification & Sales
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Custom Agentic AI System for Lead Qualification & Sales
14
As a brand strategist, I worked on shaping the calorie tracker strategy for a healthy meal kit brand focusing on clarity, motivation, and everyday usability. The goal wasn’t just tracking calories, but building a product experience that encourages better habits and long-term engagement.
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The 6 Stages of the Digital Property Buyer And where real estate companies lose them. A property buyer rarely goes from seeing an ad → visiting a website → submitting an enquiry → buying. The journey is far more complex. For our latest YUKTAAI Research, we analyzed and synthesized findings across 29 industry reports, studies and research sources covering digital buying behaviour, UX, conversion psychology and real estate buyer behaviour. The research draws on work from organizations including Baymard Institute, Microsoft, Nielsen Norman Group, CXL and the National Association of REALTORS® (NAR). What emerged was a clear 6-stage digital property journey: Awareness → Search → Evaluation → Inquiry → Verification → Closing And buyers can disappear at every stage. Outdated pricing during search. Hidden fees or unclear payment plans during evaluation. Long forms and gated information when they're ready to enquire. Slow responses after they've already shown intent. The interesting part? The problem isn't always generating more traffic. Sometimes the buyer is already on the website. The real problem is helping them move confidently from one decision to the next. We mapped the full journey and the major friction points below. Want the deeper research behind this framework? Reach out to YUKTAAI.
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Over 175 million people message businesses on WhatsApp every day. For real estate, that's where many buying conversations begin. Yet most developers still treat WhatsApp as a simple inbox. We think it should be an AI-powered sales experience. In this demo, YUKTAAI acts as an Agentic AI for a real estate developer: • Understands buyer intent • Qualifies the prospect naturally • Recommends relevant properties • Answers project and payment plan questions • Captures the lead at the right moment Not a chatbot. An AI employee designed to guide buyers from their first message to a qualified sales opportunity.
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Real estate buyers already live on WhatsApp. Your sales experience should too. This demo showcases an Agentic AI buyer journey built for real estate developers and brokerages. The AI understands buyer intent, asks qualifying questions, recommends relevant properties, answers project questions, and helps move prospects toward a viewing all within WhatsApp. Designed for businesses looking to deliver a modern, conversational buying experience that converts more visitors into qualified leads.
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