This post lists all the hacks submitted to VCONIC TADHack.
Thank you for every hack, diversity and talent has powered TADHack since 2014. And those properties an well displayed through these hacks, well done!
Ollie by Anna Corrêa
Ollie is an AI-powered platform that turns online conversations about animals into real rescue actions. It ingests discussions from communities, converts them into the vCon conversation standard, and uses AI to detect signals like lost pets, foster needs, and adoption opportunities. Ollie then generates actionable insights and exposes them through MCP tools so AI assistants can help people discover animals that need help faster.
OnePrice Sales Memory by Joan Ovalles Rosario
Automotive sales professionals handle 40+ leads daily, leading to rapid information decay. OnePrice Sales Memory is a FastMCP server that uses the VCON standard to transform scattered leads into intelligent, searchable, and permanent conversation records. It automatically tags lead urgency, identifies price shock, and generates brand-aligned “no-haggle” follow-up scripts to help dealerships close more deals.
TraceConnect by Jevans Otieno
A VCON-powered Conversation Radar that gives HQ real-time visibility into how customer issues are resolved across global branches – with consent-aware AI, cross-border compliance, and performance insights. Built for the VCON App Store.
vChat by Ahmadu Suleiman
vChat is a messaging app that brings the power of vCon, which was previously only available to large organizations, directly to everyone’s phone. It automatically organizes every conversation into a signed, verifiable record, whether started within the app or imported from existing platforms. This feature unlocks AI abilities such as semantic search and insight generation right on those conversations. Designed for everyday users, vChat makes sure that conversations matter beyond the moment they take place.
ConvoLens by Josphat Mwangi
ConvoLens is a customer conversation intelligence platform for banking and financial services teams. It ingests conversations from any channel — WhatsApp, call center, SMS, social media, reviews — converts them into IETF vCon records using Claude AI, and surfaces compliance risks, sentiment trends, and agent performance insights through a live dashboard. Teams can type plain English questions to Claude to query their entire conversation dataset instantly.
Life Canvas by Sabrina Inczedy
Life Canvas is a personal life intelligence system that helps people capture journal entries, voice reflections, photos, and conversations, and organize them into structured life data using the vCon framework. The platform then analyzes those records to surface meaningful insights and beacon signals about patterns, milestones, and personal growth.
Budget Yangu by Elvis Ogunga
An AI-powered personal finance assistant.
Many people struggle to manage their money and often rely on conversations with financial advisors or support agents to understand their budgets, expenses, and financial decisions. However, these conversations are rarely structured or analyzed for insights.
Our solution integrates vCon to capture and structure every financial conversation between users and AI assistants inside Budget Yangu.
Each conversation becomes a standardized record that can be analyzed to extract insights like user intent, financial concerns, and summaries.
This transforms everyday financial chats into valuable data that helps users make smarter financial decisions while giving developers powerful analytics on how financial AI assistants interact with users.
Apparitions, by David Sikes and Jared Ashcraft
A framework for creating location-based experiences with a wide range of applications. As a user approaches a location, audio will play and text will appear on their device. The sound will increase as the user gets closer to the location. The framework can be used to create scenarios of various applicability, from haunted houses, immersive mystery stories, or even guided tours in galleries or museums.
ConvoSense by Collins Omondi
ConvoLens is a customer conversation intelligence platform for banking and financial services teams. It ingests conversations from any channel — WhatsApp, call center, SMS, social media, reviews — converts them into IETF vCon records using Claude AI, and surfaces compliance risks, sentiment trends, and agent performance insights through a live dashboard. Teams can type plain English questions to Claude to query their entire conversation dataset instantly.
vCohort by Ziyad Shuaibu, Abdulalim Ladan, and Mubarak Ibrahim
This product is an AI-powered conversation intelligence platform designed for coaches, mentors, and course creators who deliver programs primarily through third-party meeting tools such as Zoom and Google Meet. The platform captures, structures, and analyzes live session conversations using the vCon (Virtual Conversation) standard, transforming raw cohort interactions into actionable insights.
Patanisha by Charles Wachira
Patanisha ingests multi-channel conversations via Africa’s Talking, converts them to vCon format, and stores them in Conserver.io using supabase for AI-powered analysis. Our Node.js backend and real-time dashboard unify 42 TADHack sample conversations into actionable cases with sentiment tracking and collision detection. The modular architecture supports any communication channel through adapter plugins. Deployable as SaaS, on-premise, or edge solution for any industry.
NovaCompliance by Abdulrahman and Bello Abdullahi
AI Compliance Dashboard. An AI-powered dashboard to track GDPR/compliance health for businesses, providing daily briefings, transcripts, analysis, and consent tracking.
Community Watch by Victor Abdul
Community Watch turns fragmented neighborhood safety reports into a unified, interoperable intelligence stream using the vCon data standard. Community sightings are structured, aggregated, and analyzed in real time by Groq AI — giving residents, NGOs, and first responders a shared picture of what’s happening on the ground. One standard. One platform. Faster answers.
911 First Response by Shouvik Sharma, Ankita Bhanushali
911 First Response connects emergency calls to smarter dispatch.
When a 911 call comes in, we capture the conversation, store it as a vCon, and ingest it into vCon MCP.
MCP then drives the analysis: we get a transcript, a summary, and we extract the problem type—medical, fire, burglary, accident—plus location and reason.
That turns into a clear dispatch task so we can select the right service—police, fire, or EMS—resolve the nearest unit to the address, and dispatch them to the scene.