Meet real people by sending or receiving cookies in real life.

SnaccMate: An authentic, casual corner for real people.

Real Moments. Real Baddie Energy

For college students and working professionals. Share authentic, unfiltered moments and connect with real people - just as they are.

We never store or save your work or college email. Privacy comes first.

Docutracker lets you see when and how people read your documents, providing real-time engagement analytics to optimize follow-ups.

#1 Anthropic - 40%

#2 OpenAI - 27%

#3 Google - 21%

It is powered by the same transformer architecture as xAI's Grok model

Last year, I was trying to pitch our startup to investors in three different markets—India, the US, and Japan. Same pitch, but we needed videos in Hindi, English, and Japanese. The quote from video agencies? $15K per language. That's when I decided to build something myself.

Why I Built This

The problem wasn't just cost. It was time. Even if we had the budget, turnaround was 3-4 weeks per video. We needed a lip sync video generator for startups that could handle multiple languages without re-shooting everything. I started experimenting with AI models in early 2026, focusing on two things: quality lip-sync and the ability to use reference footage so the output actually looked like our brand.

After months of testing different approaches, I built JXP AI Video Generator. It handles reference-based video generation—you can upload a clip or even just describe what you want, and it generates 1080p videos with proper lip-sync. No cameras, no editing software, just text or audio input.

What It Does Now

The core feature is multi-language video localization. You create one video concept, then generate versions in different languages with matching lip movements. We're using it internally for investor updates and customer demos. It's not perfect yet—sometimes the lip-sync drifts on longer sentences—but it's saving us weeks of production time.

I'm looking for other founders who face similar challenges. If you're dealing with multi-market video content, I'd love to hear your feedback on what features would actually help.

Helping Startups Scale Faster on AWS – Up to $100K in AWS Credits

We as a partner with startups to accelerate their cloud journey using the power of AWS. With deep AWS expertise and strong startup engagement, we help founders build, scale, and optimize their cloud infrastructure with confidence.

How We supports startups:

✅ Cloud architecture & AWS service selection

✅ Cost optimization and performance tuning

✅ Cloud-native and scalable infrastructure design

✅ Support in accessing AWS Startup Programs with credits up to $100,000

✅ Ongoing security, governance, and optimization best practices

From MVP to scale-up, we act as a trusted AWS partner—helping startups focus on innovation while we manage the cloud foundation. Our goal is to build long-term partnerships that drive growth, efficiency, and success across the startup ecosystem.

If you’re a startup looking to scale on AWS and unlock up to $100K in AWS credits, let’s connect.

Video content creators and startup founders face a common bottleneck in 2026: producing professional-quality videos with accurate lip sync costs thousands of dollars and weeks of production time. Whether you're recording multilingual product demos, educational content, or marketing materials, traditional video editing demands expensive equipment, skilled editors, and multiple shooting sessions. For bootstrapped startups, this financial and time burden often means delaying content strategies or settling for amateur-looking videos that fail to convert.

Why AI-Powered Video Generation Changes the Game

The emergence of reference-based AI video generation technology has fundamentally shifted how entrepreneurs approach video content. Instead of hiring production crews or learning complex editing software, modern AI video generators like Wan26 enable founders to create broadcast-quality videos in minutes. The platform's core strengths—precision lip sync video creation tool capabilities, 1080p output quality, and multi-shot editing features—address the exact pain points that drain startup resources. For companies testing messaging across different markets, the ability to generate reference-based videos with consistent quality reduces production costs by up to 80% compared to traditional methods.

Real-World Application: Creating Multilingual Marketing Videos

Let me walk you through a practical scenario that demonstrates how multi-shot editing AI video tool technology works in a startup context. Imagine you're launching a SaaS product targeting both Indian and Southeast Asian markets. Your goal: create product explainer videos in Hindi, Tamil, and English without tripling your video budget.

Step 1: Prepare Your Reference Content

Start with a single master recording of your presenter explaining the product features. This becomes your reference video. The Wan26 platform analyzes facial movements, gestures, and speaking patterns from this footage, creating a digital baseline that maintains natural expression.

Step 2: Script Adaptation and Audio Input

Translate your script into target languages and record native-speaker voiceovers. You don't need the original presenter to re-record—the AI handles synchronization. Upload your Hindi audio track, and the system automatically adjusts lip movements to match the new language's phonetic patterns. The lip sync video creation tool ensures mouth shapes align with sounds, eliminating the uncanny valley effect common in early AI video tools.

Step 3: Multi-Shot Composition

For professional polish, use the multi-shot editing feature to combine different camera angles or insert cutaway shots. Let's say you want to show your product interface while maintaining presenter credibility. The AI seamlessly integrates screen recordings with synchronized talking-head footage, creating a cohesive narrative flow without manual keyframe editing.

Step 4: Quality Review and Export

Preview the generated video at 1080p resolution. The reference-based generation system preserves lighting consistency and color grading from your original footage. Most users report needing only minor tweaks—perhaps adjusting timing on specific sentences—before exporting final files ready for YouTube, LinkedIn, or paid advertising campaigns.

The ROI Impact

One DesiFounder community member recently shared results from this workflow: they produced 12 localized product videos in 72 hours for approximately $200 in tool costs and voiceover fees. The traditional alternative—hiring videographers in three cities—quoted at $18,000 with a six-week timeline. The time savings alone allowed them to launch market tests two months ahead of schedule, capturing early adopter feedback that shaped their product roadmap.

Strategic Advantages for Lean Teams

Beyond cost savings, AI video generation offers strategic flexibility that changes how startups approach content. You can test multiple value propositions by generating video variants with different scripts but identical visual quality. A/B testing becomes feasible at scale—something previously reserved for companies with substantial marketing budgets. Additionally, as your product evolves, updating videos requires only re-recording narration rather than full production reshoots.

Looking Ahead: AI Video in the Startup Toolkit

As multi-shot editing AI video tools continue advancing in 2026 and beyond, we're seeing video content become as accessible as written blog posts once were. For resource-constrained founders, this democratization means competing on message quality and market insight rather than production budgets. The startups winning attention today aren't necessarily those with Hollywood-grade studios—they're the ones using intelligent tools to communicate value clearly, consistently, and at the pace modern markets demand. If video content has been on your "someday" list, the cost and complexity barriers have finally fallen.