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Nutan Navsariwala's avatar
Nutan Navsariwala
Surat, India
Investigative & Technical Writer | AI, Cyber, Climate
Investigative & Technical Writer | AI, Cyber, Climate
Cover image for When the “User” Is an
When the “User” Is an AI Agent: A Zero Trust Case Study This independent research case study looks at what changes when an AI agent moves beyond answering questions and starts taking actions through tools, APIs, workflows and enterprise systems. Using public cyber-threat reporting and Zero Trust principles, the report examines why AI agents need to be treated as a new type of non-human identity, with limited, traceable and revocable access. The research focuses on practical questions security leaders need to ask: What is the agent’s identity? What can it access? What can it change? How is its activity monitored? And who can stop it when something goes wrong? The case study covers AI-agent identity, least-privilege access, segmentation, continuous verification, monitoring, access revocation and human control. It also demonstrates my approach to cybersecurity research: finding and checking sources, connecting emerging threats with established security principles, turning technical issues into clear analysis, and presenting the findings in a way that business and security leaders can understand. This sample is intended for security teams, CISOs, risk leaders and technology executives looking for clear, evidence-based research on AI security, Zero Trust, identity and access management, and emerging cyber risk.
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Cover image for The Supply Chain Beneath the
The Supply Chain Beneath the Supply Chain Evidence-Based Supply Chain Risk Research How hidden upstream dependencies can make a diversified supply chain much less resilient than it appears. A company can have four suppliers for the same critical component and still have a serious supply problem. Why? Because those four suppliers may depend on the same upstream material, manufacturing process, piece of equipment, or geographic region. That is the question behind this SourceTrace research project: When we look beyond the suppliers we can see, how many genuinely independent supply routes are actually left? What I investigated I looked beyond the usual Tier-1 supplier view and traced where critical dependencies can come together further upstream. The research examines: Why having more suppliers does not always mean having more independent supply routes How several suppliers can share the same hidden upstream dependency Semiconductor supply chains and concentrated manufacturing equipment Pharmaceutical supply chains and concentrated upstream inputs How one upstream disruption can affect many companies at the same time Why technology lock-in, qualification requirements, capital costs and geography create hidden bottlenecks When deeper supply-chain research is worth the time and money What boards and risk teams should ask before assuming a supply chain is truly diversified The research approach I did not try to map every company and every supplier in a global supply chain. Instead, I used selective depth. The idea is simple: Keep tracing a critical dependency until the information can change a real decision — such as finding another supplier, increasing inventory, redesigning a component, or accepting the risk. The research was then turned into dependency maps, evidence cards, industry examples, comparison tables and practical questions for decision-makers. The central finding Supplier count is not the same as dependency count. Four suppliers may look safer than one. But if all four ultimately depend on the same upstream constraint, the apparent diversification can disappear when that constraint fails. This is what I call common-mode exposure: different suppliers can be affected by the same problem because they share part of the same upstream system. What I created Evidence-based research paper Multi-tier supply-chain dependency maps Semiconductor and pharmaceutical case analysis Supply-chain risk framework High-value vs. low-value mapping matrix Executive and board-level questions Visual evidence cards and comparison tables SourceTrace research methodology My role Researcher + Investigative Writer I researched the evidence, followed the dependencies beyond the obvious supplier relationships, tested the assumptions behind conventional diversification, and turned the findings into clear, visual and decision-focused research. The goal was not to make the supply chain look more complicated. It was to show where the real dependency sits. SourceTrace principle: Truth before persuasion. Evidence before opinion.
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Cover image for Greenwashing Risk for Mid-Size &
Greenwashing Risk for Mid-Size & SaaS Companies How Weak Environmental Claims Create Commercial and Regulatory Exposure Environmental claims are no longer just a marketing issue. For mid-size and SaaS companies, a simple phrase such as “sustainable,” “eco-friendly,” or “carbon neutral” can create regulatory and commercial risk when the evidence behind it is weak or incomplete. This Source-Trace white paper investigates how greenwashing risk is changing across the UK, US, and EU, and what businesses can do to make their environmental claims more defensible. What I researched and developed Investigated the regulatory landscape for environmental claims across the UK, US, and EU Examined primary regulatory guidance, enforcement records, court decisions, and agency sources Analyzed real-world cases involving environmental claims and misleading marketing Identified 7 recurring claim patterns that can create compliance problems Developed a 6-level evidence scale for evaluating environmental claims Created a practical 9-point pre-publishing checklist Built guidance for turning broad environmental statements into specific, evidence-backed claims Developed recommendations for founders, marketing, legal, compliance, and sales teams Designed evidence tables, case-study analysis, and practical decision frameworks My Role I worked as the investigative researcher and sole author, taking a complex and evolving regulatory subject and turning primary-source research into a practical business-risk framework. SourceTrace Investigative Research & Writing Author: Nutan Navsariwala, Founder The project demonstrates my ability to connect environmental regulation, evidence, commercial risk, and clear communication, and to turn complex research into useful decision-making tools. Full whitepaper: [Link will be added here]👇
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Cover image for Who Is Actually Ahead in
Who Is Actually Ahead in SMRs in 2026? A reality-based diagnostic of the companies moving from reactor designs to physical deployment. The small modular reactor industry is full of impressive reactor designs, ambitious timelines and billion-dollar announcements. But there is a much harder question: Who is actually ahead? This research project examines the leading SMR developers through a different lens: verified progress toward physical deployment, not company claims or design maturity alone. I built a reality-based comparison of companies moving through the difficult chain from reactor concept to an operating commercial plant: Design → licensing → construction → financing → supply chain → grid connection → deployment. The result is a competitive diagnostic designed to separate what companies say they will build from what they have actually demonstrated. What the research examines Reactor design maturity Regulatory progress Construction status Financing and project backing Manufacturing and supply-chain readiness Customer commitments Expected deployment timelines Grid and site development Commercial readiness Evidence behind each major company's claim Rather than treating every announced project equally, the analysis gives greater weight to physical and regulatory milestones that are independently verifiable. The central finding The SMR market does not have a shortage of reactor designs. There is a shortage of companies that can demonstrate the complete path from design to a licensed, financed, constructed, and connected reactor. That distinction changes the leaderboard. A company with a technically advanced reactor but no construction project should not automatically rank above a developer that has already moved steel, concrete, and regulatory approvals into the real world. The solution: an evidence-based deployment framework I developed a practical comparison framework that evaluates companies across the deployment chain rather than relying on a single headline milestone. The framework asks: Can it be licensed? Can it actually be built? Is someone financing it? Is there a credible customer or site? Is the supply chain developing? Is construction physically underway? Is there a realistic path to grid connection? This creates a more useful distinction between technology potential and deployment reality. What I produced Competitive SMR leaderboard Company-by-company evidence analysis Verified milestone comparison Claim-versus-evidence assessment Regulatory and construction-status analysis Deployment-readiness framework Data-centre suitability comparison 100 MW and 500 MW application analysis Visual comparison tables and charts Evidence hierarchy and source register My role Researcher • Investigative Writer • Analyst • Information Designer I researched and structured the evidence, challenged the company's claims against verifiable milestones, built the comparative framework, and translated a technically complex nuclear energy market into a clear decision document. The objective was not to predict who would win the SMR market. It was to answer a more useful question: Who has actually moved furthest from reactor design toward deployment? Read the comprehensive research 👇
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NotebookLM(4)
Natalia Bukhtiiarova's avatar
Natalia Bukhtiiarova
proYerevan, Armenia
Product designer & design engineer · multi-role products
1x
Hired
5.0
Rating
8
Followers
Product designer & design engineer · multi-role products
Cover image for AI-scaffold engine Turning Africa's locked research
AI-scaffold engine Turning Africa's locked research into working tools for local businesses. Researchers can't afford to hire developers. Entrepreneurs can't read the papers. The gap between "I published a finding" and "Someone built a tool from it" is where most African innovation dies. The bottleneck isn't talent or ambition. It's a missing tool: something that translates research into products without requiring a $100K data science hire. The goal. Build what I'm calling an "invisible IT bridge": a platform that lets local businesses use advanced analytics without data scientists or deep technical skills. It has to work on slow connections, cheap phones, and for people who've never used a SaaS product.
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Cover image for Construction Field app with offline sync
Construction Field app with offline sync
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Cover image for CareWeight — family care plan
CareWeight — family care plan builder What would it cost to replace you? That's the question CareWeight opens with. It's a free web app for the family member doing most of the caregiving for an aging parent (usually a daughter carrying the load while siblings "stay updated"). A nine-screen wizard turns her invisible work into a printable care plan with real dollar values: who does what now, what that work costs at market rates, and a redistribution proposal the family can sit down and discuss. Built solo, end to end: research in caregiver communities, product definition, content design under heavy emotional constraints, visual design, and code. Vanilla JS with no framework, mobile-first, installable as a PWA, WCAG AAA verified with automated audits. The whole thing runs on privacy: no accounts, no server-side storage. A finished plan lives in the browser and travels as an encoded link; analytics are cookieless and never see what anyone typed. Live at careweight.org (http://careweight.org)
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Cover image for Skill translation platform for professionals 50+
Skill translation platform for professionals 50+
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NotebookLM(1)
Albert Punj's avatar
Albert Punj
Hoboken, USA
I help small businesses get more customers online.
5.0
Rating
13
Followers
I help small businesses get more customers online.
Cover image for Custom AI Content Automation System for Brand Growth Designe...
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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Cover image for Yogaverse - Wellness App for Adults 40+ Built a full-stack w...
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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Cover image for Designed and implemented a custom AI-driven lead capture sys...
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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Cover image for YouTube Podcast Translator — language access without platfor...
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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NotebookLM(1)
Aiden Fishbein's avatar
Aiden Fishbein
Phoenix, USA
Video Partner for Brands That Publish Consistently
1x
Hired
8
Followers
Video Partner for Brands That Publish Consistently
Cover image for The SaaS Video Stack We work
The SaaS Video Stack We work on a lot of video for SaaS, cybersecurity, and B2B tech. One thing we see pretty often: a team knows they need video, but isn’t quite sure which one to make first. A demo? An explainer? A brand film? Testimonials? Usually, the answer starts somewhere else: Where is the buyer you’re trying to reach? If they’re discovering you for the first time, you’re playing a different game than you are with someone who has already seen the product and is deciding whether to buy. That’s how we tend to think about the stack. 01 - AWARENESS Top of Funnel → Brand / Story Film → Social Clips → Thought Leadership → Problem-focused Content This is about giving people a reason to stop, pay attention and understand what you’re about. 02 - CONSIDERATION Middle of Funnel → Explainers → Product Overviews → Feature Videos → Use-case Content Now they’re trying to understand the thing. What does it do? Who is it for? How does it fit into the problem they’re trying to solve? 03 - CONVERSION Bottom of Funnel → Product Demos → Customer Testimonials → Case Studies → Comparison / FAQ Videos At this point, clarity needs to turn into confidence. Show the product. Show the outcome. Bring in customers who have already made the decision. 04 - ONBOARDING Post-purchase → Getting Started → Feature Walkthroughs → How-to Videos → In-app Education And then there’s the part after the sale. A good onboarding video can answer the same question 500 times without anyone on the team having to answer it 500 times. One thing we’d push back on: jumping straight into a product demo because the product is the thing everyone is excited about. Making a demo before you have a brand story is like sending a sales deck before a cold email. The demo can be great. The timing can still be wrong. If someone doesn’t understand who you are, what problem you solve, or why they should care yet, there’s some groundwork to do first. A good SaaS video library is built around the buyer journey, with each piece created for a specific audience, stage and purpose. That’s the part worth figuring out before anyone opens Premiere.
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Cover image for One thing AI has changed
One thing AI has changed for our studio isn't how we generate ideas. It's how we judge them. Generating options is easier than it's ever been. Deciding what's actually worth making isn't. We've started using AI less to give us answers and more to challenge our thinking. ▸ Show us the obvious version. ▸ Argue against this concept. ▸ Combine ideas that shouldn't fit together. ▸ Push us somewhere unexpected. Then the real work starts. Will it perform? Probably. Will it feel honest? Will it add something instead of just taking attention? We don't get to control how people interpret our work. Everyone brings their own experiences to it. But we do get to choose what we put into the world. Views, clicks, conversions, and sales matter. I just hope we're also asking what our work adds to the people on the other side of those numbers. Metrics have a shelf life. The impact of the work doesn't.
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Cover image for Some projects are about showcasing
Some projects are about showcasing a business. Others are about helping people feel what that business stands for. For this company overview film with Changes Healing Center, our goal wasn't to list services or facilities. It was to capture the people behind the care. We combined aerial footage, interviews, testimonials, and day-in-the-life moments into a 90-second film that introduces the center through the voices of the people who make it what it is. From pre-production through filming, editing, color, sound, and final delivery, we handled the project end to end. When a story is built around real people, the production should stay out of the way and let authenticity do the work. Always grateful to collaborate with teams that trust us to tell stories with care.
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Cover image for We've noticed something interesting about
We've noticed something interesting about event content. The more successful the event is, the less important the attendees become. Because they were already there. The people who matter next are the ones who weren't. → The sponsor considering next year. → The prospect researching your company. → The potential attendee deciding whether it's worth the trip. For them, the recap video becomes the event. Which changes how you should approach it. You're not documenting what happened. You're shaping how people remember it and how others perceive it. That's the mindset behind this event trailer from DSC - FWB Fest.
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NotebookLM(1)
Patrick Lopes's avatar
Patrick Lopes
Miami, USA
Senior Product Designer + Frontend Developer | AI-Assisted
7
Followers
Senior Product Designer + Frontend Developer | AI-Assisted
Cover image for Straight Talk 7 Day Bridge Plan
Straight Talk 7 Day Bridge Plan
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Cover image for I've tried learning React a
I've tried learning React a few times. Always hit the same wall. The tutorials made sense while I was watching them but then I'd close the video and have no idea where to start on my own. Scrimba is different because the lesson is the code editor. You're not watching someone build in one window while you try to copy it in another. You click inside what they're working on mid-lesson and write directly in it. I'm still early in it but I'm further along than I've ever gotten before. For designers trying to bridge design and code, it's the most useful format I've found. scrimba.com (http://scrimba.com)
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Cover image for Every product page decision has
Every product page decision has a job to do before someone ever reaches checkout. On the SeneGence PDP, the job was simple to state and hard to execute: help someone choose a shade with confidence. That meant building the color swatch grid as the primary interaction, not a secondary detail, with limited edition tags called out clearly so nobody's disappointed after checkout. Related shades and complementary products show up right below, so discovery doesn't dead-end at one product. On the listing page, filters had to hold up across dozens of SKUs. Mobile users get a filter drawer with chips for active selections. Nothing gets buried behind a menu they'll forget to check. Case study here: patlopes.com/case/senegence-redesign
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Cover image for I've been sending a lot
I've been sending a lot of outreach messages lately as part of my job search, and pretty quickly ran into the same wall every time. Writing a good, personalized message was never the problem. The problem was everything before it: finding the right contact, pulling context on the role or company, checking if I'd already reached out, then logging it somewhere so I wouldn't lose track. There was a lot of repetitive work standing between me and writing the message itself. So I started building a small dashboard (React, Vite, deployed on Vercel) to handle the deterministic stuff. It looks up contacts, pulls the context I need, and tracks everything in Notion automatically. I pretty much just do the writing. Still early and still just for me, but it's already saved a chunk of time I used to burn on busywork instead of actually reaching out to people. #ProductDesign #BuildInPublic #JobSearch
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NotebookLM(1)
Prathyush S's avatar
Prathyush S
Mysuru, India
I turn ideas into fast, modern, user-ready solutions.
New to Contra
I turn ideas into fast, modern, user-ready solutions.
Cover image for Title: AI Content Generation Toolkit Post
Title: AI Content Generation Toolkit Post text: I use AI tools to create content across formats — video, audio, scripts, prompts, images, presentations, and music. As a CS student passionate about AI, I've explored 20+ AI tools and built a workflow for turning ideas into finished digital content quickly, using the right tool for each job (script writing, prompt engineering, image/video generation, voice/music synthesis, and slide decks). I can help clients generate content fast without sacrificing quality.
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Cover image for 🎲 Guess the Number Game
🎲 Guess the Number Game
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Cover image for Beginner Python Notes
Beginner Python Notes
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Cover image for BikeFinder — Bike Search & Ownership Cost Calculator
BikeFinder — Bike Search & Ownership Cost Calculator
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NotebookLM(1)