Freelancers using WebRTCFreelancers using WebRTC
ProjectsPeople
Obruche Oghenechohwo's avatar
Obruche Oghenechohwo
Ikeja, Nigeria
Full Stack Engineer | WebRTC Engineer
Full Stack Engineer | WebRTC Engineer
Cover image for Mitsi MVP is LIVE! 🎉 I’m super excited to finally share thi...
Mitsi MVP is LIVE! 🎉 I’m super excited to finally share this! Over the past few months, I have been building Mitsi — an open-source video conferencing platform designed to be fast, modern, and user-friendly. It’s been an amazing journey exploring different technologies and crafting a real-time communication experience from the ground up. Here are some of the core technologies powering Mitsi: ● React – powering the Mitsi web client ● Mediasoup Client – the WebRTC engine on the frontend ● Mediasoup SFU – handling media routing with low-latency performance ● SocketIO – Mitsi’s custom signaling protocol between client and signaling service ● gRPC – enabling communication between the Mitsi media service and signaling service ● Nodejs – backend services ● Redis – service state sharing, caching, and Pub/Sub Link is in the comment
1
0
103
Cover image for Currently engineering a video conferencing platform leveragi...
Currently engineering a video conferencing platform leveraging Mediasoup SFU for real-time media streaming. So far, I’ve completed: 🎥 Screen sharing 📸 Camera integration 🎙️ Microphone support More exciting features coming soon!
1
1
86
Cover image for Colloquium - Video Conferencing Platform
Colloquium - Video Conferencing Platform
0
13
Cover image for Joble - Real Communication System Design and Development
Joble - Real Communication System Design and Development
0
9
WebRTC(4)
SanganakHQ 's avatar
SanganakHQ
proBengaluru, India
Top 1% | Founders-Led Studio | 25+ Products Shipped
$10k+
Earned
13x
Hired
5.0
Rating
169
Followers
ANYTHING_EXPERT

Expert

Top 1% | Founders-Led Studio | 25+ Products Shipped
Cover image for YourAstro – AI Astrology SaaS (Next.js, React, Supabase)
YourAstro – AI Astrology SaaS (Next.js, React, Supabase)
1
23
26
Cover image for VolleyHeroes
VolleyHeroes
4
14
Cover image for Heathland Links — Golf Discovery App, Design to Deploy
Heathland Links — Golf Discovery App, Design to Deploy
4
7
Cover image for Lyri Caliberations: Branding, UI/UX, Mobile & Web Ecosystem
Lyri Caliberations: Branding, UI/UX, Mobile & Web Ecosystem
1
15
26
WebRTC(1)
Max Hora's avatar
Max Hora
maxDnipro, 49000
Software Architect | From Idea to Production | 140+ Projects
$100k+
Earned
5x
Hired
5.0
Rating
100
Followers
Software Architect | From Idea to Production | 140+ Projects
Cover image for Source Elements | Low latency desktop webrtc streaming solution
Source Elements | Low latency desktop webrtc streaming solution
2
37
Cover image for Making Mobile Chat Feel Instant & Native
Making Mobile Chat Feel Instant & Native
0
27
Cover image for DAO app for personal growth across every life area
DAO app for personal growth across every life area
0
11
Cover image for Qt/C++ Software Performance Optimization
Qt/C++ Software Performance Optimization
0
22
WebRTC(1)
Mehul Sethia | Senseibles's avatar
Mehul Sethia | Senseibles
proIndia
Design, Build, AI, Automation
$50k+
Earned
19x
Hired
5.0
Rating
68
Followers
Design, Build, AI, Automation
Cover image for Converc — Turn Website Visitors
Converc — Turn Website Visitors Into Live Conversations URL: https://converc.com One-liner Built a real-time browser-based calling platform from scratch — MVP live in 5 days. Project Overview Converc solves a problem that costs B2B companies revenue every day: high-intent visitors land on your site, can't get a human immediately, and leave. It embeds a call widget that connects visitors to sales reps in real time — no booking links, no forms, no friction. I architected and built the full product: a Next.js frontend, Supabase backend with Row Level Security, and WebRTC-powered peer-to-peer audio calling that works entirely in the browser with no native app required. The stack was chosen for performance, low latency, and the ability to ship fast without sacrificing production quality. What I Built WebRTC call engine with real-time signalling via Supabase Realtime Embeddable call widget (drop-in script for any website) Agent dashboard with live call status, queue management, and session history Webhook integration layer for CRM and Slack notifications on call events OAuth-based authentication with Google and dev/prod environment separation Supabase RLS policies enforcing strict data isolation between workspaces How I Shipped It The core MVP — widget, signalling, agent dashboard, and working calls — was shipped in 5 days using Cursor with Claude as the AI pair programmer. Post-MVP work covered Google Safe Browsing clearance, Slack App submission, analytics scoping, and hardening the auth and security model for production. Tech Stack Next.js · Supabase · PostgreSQL · WebRTC · Vercel · Tailwind CSS
0
225
Cover image for Revolutionize Your Sales Process with Instant Deal Closures
you have been WARNED. I am going to make every contact form, every Calendly link, and every "we'll get back to you" completely irrelevant. Conversations close deals. I made them instant. converc.com (http://converc.com)
0
79
Cover image for DailyCue — AI-Powered Decision Support
DailyCue — AI-Powered Decision Support for Recruitment Teams URL: https://dailycue.tech One-liner Shipped a recruitment SaaS MVP in 3 days — AI that tells recruiters exactly who to call today, and why. Project Overview Most recruitment teams don't have a lead problem. They have a prioritisation problem. CRMs are full, but consultants still rely on gut feel to decide where to focus each day — which means high-value opportunities get buried and revenue stays unpredictable. DailyCue connects to a recruitment CRM and uses AI to surface daily, prioritised actions for each consultant: who to contact, what the context is, and why now. It replaces the daily morning scramble with a clear, data-driven cue. What I Built CRM data ingestion pipeline with normalisation and deduplication AI prompt layer (GPT-4) generating personalised daily action lists per consultant Tiered Stripe billing in GBP with seat-based pricing JobAdder marketplace OAuth integration for one-click CRM connection Serverless architecture on Vercel with Inngest for background job processing Landing page, onboarding flow, and trial signup How I Shipped It Initial version went live in 3 days. I then iterated directly with real recruitment users, refining the AI prompts based on actual usage feedback until the output matched how experienced consultants naturally think about their pipeline. The product continued to evolve through multiple rounds of user testing and positioning pivots. Tech Stack Next.js · Supabase · PostgreSQL · OpenAI API · Stripe · Inngest · Vercel · JobAdder API
1
2
261
Cover image for eSIM Platform Development for Alosim
eSIM Platform Development for Alosim
0
15
WebRTC(1)
Armughan Shahid's avatar
Armughan Shahid
proIslamabad, Pakistan
AI SaaS Dev | LLMs, Agents, Voice & Automation | Web, Mobile
1x
Hired
5.0
Rating
3
Followers
AI SaaS Dev | LLMs, Agents, Voice & Automation | Web, Mobile
Cover image for GYMYG — Virtual Fitness Platform California,
GYMYG — Virtual Fitness Platform California, USA · 12 Months · 7-Person Team The Problem The home fitness market exploded but the tech never caught up. Existing solutions were either pre-recorded content with no real interaction, or basic video calls with no fitness intelligence built in. GYMYG needed something that didn't exist yet — a platform where certified trainers and clients could train together in real time, with the intelligence to match them, program for them, and keep them accountable long after the first session. What We Built A complete virtual fitness ecosystem — two separate applications for trainers and clients, coordinated through a single backend, with an admin layer running everything underneath. Sessions run over WebRTC with adaptive bitrate streaming, so video quality adjusts automatically based on connection strength without dropping the call. TURN/STUN resilience means sessions stay live even on difficult networks. In 50,000+ sessions delivered, the failure rate never crossed 1%. The AI layer does the work that makes GYMYG more than just a video call. Programming is calibrated to each user's goals and adherence patterns — if someone keeps skipping leg day, the system knows. Biometric and session telemetry track safe progression and flag recovery needs before they become injuries. Trainer-client matching uses availability, specialty, and historical satisfaction signals — not just whoever's online. Community features — live group classes, asynchronous content, and moderated chat — were built in from day one because retention data is clear: people who train alone quit. People who train in community don't. Technical Architecture Real-time sessions: WebRTC with adaptive bitrate streaming + TURN/STUN resilience Backend: Node.js services layer handling real-time state, scheduling, and payments Database: MongoDB with rigorously designed schemas and TTL-based event retention Infrastructure: AWS with autoscaling, managed queues, and full-stack observability — metrics, logs, traces Security: Tokenized access, scoped permissions, encrypted media signaling throughout Stack: React Native · Node.js · WebRTC · MongoDB · AWS Results 50,000+ live sessions delivered 95% customer satisfaction across rolling quarters Sub-1% session failure rate Improved 90-day retention driven by social features and AI-personalised programming First live fitness app to offer real-time trainer-client interaction at this scale Successfully launched into the US fitness market in 12 months What This Proves Real-time platforms at scale aren't just a backend problem. They're an architecture problem. The decisions made in month one — how sessions are handled, how data is structured, how the AI layer sits inside the product — are what determine whether you hit 50,000 sessions or fall apart at 500. GYMYG was built to handle the former from day one.
0
191
Cover image for Milematcher - Realtime Competitive Running Platform
Milematcher - Realtime Competitive Running Platform
0
9
Cover image for Share the Light - Role-Based Tutoring Platform
Share the Light - Role-Based Tutoring Platform
0
5
Cover image for We Step Together - Step-to-Donation Mobile App
We Step Together - Step-to-Donation Mobile App
0
11
WebRTC(1)
Florencio Rosales's avatar
Florencio Rosales
Milwaukee, USA
Expert React|Node|Python|AI|ML|WordPress|Framer|FlutterFlow
31
Followers
Expert React|Node|Python|AI|ML|WordPress|Framer|FlutterFlow
Cover image for AI-Powered Algorithmic Trading Platform —
AI-Powered Algorithmic Trading Platform — AI Systemics Built core technology infrastructure for AI Systemics — an AI company developing intelligent solutions that bring institutional-grade capabilities to everyday users. Primary focus on their flagship product, Quanntick™, an AI-powered algorithmic trading platform that brings institutional-level trading to individual investors. Developed the machine learning pipeline powering real-time market analysis and signal generation — processing live CME Group licensed market data, running predictive models, and executing automated trading strategies on futures markets with precision and speed. Built the performance tracking dashboard giving users transparent visibility into trade execution, strategy performance, and portfolio metrics in real-time.
1
3
368
Cover image for Transform Your BIM Data with VIM for Advanced AEC Analytics
VIM (vimaec.com (http://vimaec.com)) is a data analysis platform for the AEC industry — architecture, engineering, and construction. Its tagline is "Ask your Building Anything." The core idea: BIM (Building Information Modeling) files like Revit and IFC contain enormous amounts of valuable data, but that data is usually trapped inside design software and hard to query, share, or analyze downstream. VIM extracts and transforms it into a SQL-ready format that plugs into tools like Power BI, enabling architects, contractors, and property developers to run analytics, audits, and reporting on their building data. A few notable details: They created the open-source VIM file format — a compact, efficient 3D data format optimized for runtime rendering and carrying relational BIM data, with the spec and tooling on GitHub. It supports use cases like digital twins at LOD 500, BIM content analysis, regulatory audits (e.g., higher-risk building reports), and converting Revit models to formats like FBX or web-viewable 3D. Clients include Microsoft, AECOM, RIB, and Sam's Club, and they've previously partnered with Magic Leap for AR-based BIM visualization.
1
172
Cover image for Schemata is a spatial AI
Schemata is a spatial AI training platform that turns physical equipment and environments into immersive, interactive 3D training experiences. Schemata is a spatial AI training platform that turns physical equipment and environments into immersive, interactive 3D training experiences. They came out of stealth in 2025 with $5M in funding and serve defense and enterprise customers including NAVSEA, AFWERX, the 97th Air Mobility Wing, Northeastern University, Nestle, and Nabors.
1
271
Cover image for Field Control Analytics (FCA) is
Field Control Analytics (FCA) is a cloud-based workforce management and analytics platform built specifically for the construction industry. They've been around for nearly 20 years and serve major contractors like AECOM, Suffolk, Kiewit, McCarthy, and Tutor Perini.
2
266
WebRTC(1)