# PostgreSQL Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/postgresql
> Markdown URL: https://aitinkerers.org/technologies/postgresql.md
> Technology record last updated: 2026-09-18T15:13:46Z
> Generated: 2026-09-21T19:43:11Z

PostgreSQL (Postgres): The world's most advanced, open-source object-relational database (ORDBMS), built for reliability and extensibility.

PostgreSQL is the premier open-source ORDBMS, proven over 35+ years of active development. It adheres strictly to ACID properties (Atomicity, Consistency, Isolation, Durability), ensuring data integrity for mission-critical workloads. Key features include robust SQL compliance, Multi-Version Concurrency Control (MVCC), and superior extensibility (e.g., custom data types, functions in multiple languages). Advanced capabilities like native JSON/JSONB support and the PostGIS extension (geospatial data) make it a powerful, flexible choice for complex enterprise applications.

- Official technology site: https://www.postgresql.org/
- Public AI Tinkerers demos and talks: 106
- Result page: 1 of 5

## Recent Public Talks and Demos

### [Giving an AI Agent the Keys: Building a Safe Admin Assistant](https://lahore.aitinkerers.org/talks/rsvp_FBzr6t9dj50)

Hania is a platform for building AI agents that work across chat, phone, messaging apps and email. Every account includes Hania Assistant, an AI agent that sets up and manages the account through conversation: it creates agents, connects tools, and builds teams of agents that work together. In the live demo I'll ask the assistant to connect an integration, build a team, and make changes, showing how it asks questions, collects secrets safely, and waits for human approval before risky actions.

- Event context: AI Tinkerers Lahore: September 19, 2026 — 2026-09-19 — Lahore
- Public talk page: https://lahore.aitinkerers.org/talks/rsvp_FBzr6t9dj50

### [Bias-Free RAG: Simulating Political Candidates with AI](https://saopaulo.aitinkerers.org/talks/rsvp_uTVDpnRMXT4)

Café com o Candidato is an open-source site where users pick a 2026 Brazilian presidential candidate and chat with an AI simulation powered by RAG over public data, replying with the candidate's speech patterns and mannerisms — always with a clear disclaimer that it's a simulation with no affiliation. In the live demo I'll show the chat working end-to-end and, behind it, the RAG pipeline: how a user's question pulls the most relevant chunks from public sources via pgvector before reaching the model.

- Event context: AI Tinkerers SP e Oracle - Meetup Agosto — 2026-08-27 — São Paulo
- Public talk page: https://saopaulo.aitinkerers.org/talks/rsvp_uTVDpnRMXT4

### [Towerwatch: Real-Time Threat Monitoring & Security Operations](https://mombasa.aitinkerers.org/talks/rsvp_qOJvNRRLbek)

A live architecture breakdown of real-time threat monitoring dashboards for system logging, alerting, and automated security event tracking.

- Event context: AI Tinkerers – Mombasa Chapter Launch · 22 August 2026 — 2026-08-22 — Mombasa
- Public talk page: https://mombasa.aitinkerers.org/talks/rsvp_qOJvNRRLbek

### [ZameenEye AI & AgentOS: Spatial Climate Risk & Personal Agentic OS](https://mombasa.aitinkerers.org/talks/rsvp_3azR3jXQt5Y)

dual-part technical demonstration featuring ZameenEye AI (a four-layer satellite-to-advisory climate risk mapping system using PostGIS ST_Intersects and Llama-3-70B) alongside AgentOS (a 24/7 headless personal agentic OS running on a DigitalOcean droplet with multi-channel routing and strict guardrails).

- Event context: AI Tinkerers – Mombasa Chapter Launch · 22 August 2026 — 2026-08-22 — Mombasa
- Public talk page: https://mombasa.aitinkerers.org/talks/rsvp_3azR3jXQt5Y

### [PalliAssist: Transforming Palliative Care with Compassionate AI](https://mombasa.aitinkerers.org/talks/rsvp_lhA4geGRg08)

PalliAssist is an AI-powered palliative care companion that helps patients, caregivers, and healthcare providers manage symptoms, medications, appointments, and access trusted care guidance through compassionate, personalized support. During this demo, we'll showcase the working web application, walk through the complete patient and caregiver workflow, demonstrate how Gemma powers real-time AI conversations, explain our system architecture and RAG pipeline, highlight key sections of our codebase on GitHub, and show how the platform delivers intelligent, accessible, and privacy-conscious palliative care in low-resource settings.

- Event context: AI Tinkerers – Mombasa Chapter Launch · 22 August 2026 — 2026-08-22 — Mombasa
- Public talk page: https://mombasa.aitinkerers.org/talks/rsvp_lhA4geGRg08

### [AI as your thinking partner](https://islamabad-rawalpindi.aitinkerers.org/talks/rsvp_D-baTz8uoCQ)

Chatbots are for chats, not for brainstorming or exploration. Ahmed H. & Ali Asad gave a talk on "Bonscape: AI as your thinking partner" where they presented a radically simplified yet extremely powerful way of working with AI. The whiteboard-style canvas that lets you use AI in the way its supposed to be used in future. Features: - Sticky notes, branching, merging, model agnostic, file upload, project mode, data and branch views. - Fully control your context including version control and avoid context compression. - Control which AI model gets the data Alongside the product is very light on the pocket: - All models on a single subscription. - Saves cost on tokens through branching. - Saves cost by roll-over (un-used credits don't expire at end of the month, the roll over into the next month) Upcoming features in next 2 weeks: MCP, Artifacts and more.

- Event context: AI Tinkerers Islamabad - August 15, 2026 — 2026-08-15 — Islamabad Rawalpindi
- Public talk page: https://islamabad-rawalpindi.aitinkerers.org/talks/rsvp_D-baTz8uoCQ

### [EduSense: A Multi-Agent AI Platform for Emotion-Aware Education](https://dubai.aitinkerers.org/talks/rsvp_KyNKCO_MVFc)

EduSense is a multi-agent AI education platform built for the Kaggle AI Agents Capstone. It uses DeepFace for real-time facial emotion analysis via webcam, and 7 specialized agents — orchestrated by a central workflow — to generate lessons, quizzes, flashcards, and PDF reports for instructors. The backend runs on FastAPI with PostgreSQL. I'll demo the live agent pipeline: emotion capture, the sequential agent workflow, and the instructor dashboard.

- Event context: AI Tinkerers Dubai — August Demo Day — 2026-08-08 — Dubai
- Public talk page: https://dubai.aitinkerers.org/talks/rsvp_KyNKCO_MVFc

### [Scrape, sense, snipe: local LLMs reading Twitter to trade Polymarket](https://zurich.aitinkerers.org/talks/rsvp_jO-ELvIgcaQ)

A self-hosted pipeline that scrapes Twitter, runs local LLMs to score sentiment, cross-references on-chain Polymarket activity, and surfaces ranked trade suggestions on a dashboard. I review the suggestions and place the trade myself.

- Event context: AI Tinkerers Zürich: July Build Night with Swisscom Ventures — 2026-07-01 — Zürich
- Public talk page: https://zurich.aitinkerers.org/talks/rsvp_jO-ELvIgcaQ

### [Building a Narrative Intelligence Graph and a narrative App from 200+ News Sources Using LLM Agents](https://austin.aitinkerers.org/talks/rsvp_vxPl4WEYVfg)

I built a narrative intelligence system that continuously ingests articles from 200+ news sources and automatically extracts events, actors, narratives, affiliations, and stance changes over time. The system uses multiple LLM-powered agents to transform raw news into a structured intelligence graph that can answer questions such as: • Who is pushing a specific narrative? • Which actors changed their position? • Which organizations consistently align on issues? • How did a narrative evolve over time? During the demo I'll show the live pipeline, extraction workflow, graph construction process, and how the system generates narrative intelligence from real-world news events.

- Event context: AI Tinkerers Austin: GTM Engineering & Agentic Sales Systems — 2026-06-26 — Austin
- Public talk page: https://austin.aitinkerers.org/talks/rsvp_vxPl4WEYVfg

### [Smart flascard](https://nurnberg.aitinkerers.org/talks/rsvp_qt8PZZzucz8)

Smart Flashcard is a vocabulary learning app that helps users turn new words into guided practice and daily study habits. I will demonstrate the live product, including word capture, review sessions, personalized practice, and the learning workflow.

- Event context: AI Tinkerers Nürnberg: June Meetup (Community Hub) — 2026-06-24 — Nürnberg
- Public talk page: https://nurnberg.aitinkerers.org/talks/rsvp_qt8PZZzucz8

### [Facilitating content moderation with human-AI research](https://montreal.aitinkerers.org/talks/rsvp_5HwapIfgdRU)

We sought to better understand how to build a collaborative tool that harmonizes strengths and weaknesses between human and AI in the goal to facilitate and improve content moderation for online video games. In this talk, we will demo the research conducted behind ToxiSight, an internal tool developed at Ubisoft La Forge, that leverages human nuance and AI scale to improve judgements on toxicity in online game chat. We will present a demo that showcases how a human and AI model will interact to provide all available context and knowledge gaps as well as simultaneously re-train and fine tune a model. We also introduce how we can integrate a multi-disciplinary approach in this endeavour by leaveraging key theory in psychology to learn more about the support humans need and the shortcomings of the AI model.

- Event context: AI Tinkerers Montreal - May Demo Meetup @ Ubisoft — 2026-05-26 — Montreal
- Public talk page: https://montreal.aitinkerers.org/talks/rsvp_5HwapIfgdRU

### [Pull-architecture agents: how I forced myself to do growth work](https://valencia.aitinkerers.org/talks/rsvp_-p7b50BEZW0)

A multi-agent system that manufactures pull for the growth work — writing, conference follow-up, CRM hygiene, responding to news — that I'd otherwise skip when product and ops eat my week. Seven agents across five repos, two APIs, and two websites (one fully autonomous), all driven from the only two surfaces I actually live in: my terminal and Mattermost. The demo walks a live pass through the rig: a LinkedIn contact lands in our self-hosted CRM, an article draft gets pushed to a website, a post-conference follow-up gets queued — every action is a curl command an agent emits, with circuit breakers I can tighten in the moment or across the long arc.

- Event context: AI Tinkerers Valencia May Meetup — 2026-05-26 — Valencia
- Public talk page: https://valencia.aitinkerers.org/talks/rsvp_-p7b50BEZW0

### [Bugtrace AI: Building the First Deterministic Agentic Framework for Reliable Web Pentesting](https://hong-kong.aitinkerers.org/talks/rsvp_pv9QZncWqV0)

Bugtrace AI is the first deterministic Agentic AI framework specifically engineered for automated web pentesting.

- Event context: AI Tinkerers Hong Kong at AWS: Agentic AI in Action (April) — 2026-04-29 — Hong Kong
- Public talk page: https://hong-kong.aitinkerers.org/talks/rsvp_pv9QZncWqV0

### [New AI visibility tool made 99% with vibe coding](https://valencia.aitinkerers.org/talks/rsvp_UStdYlRZtOI)

I built Crecerank, a tool designed to boost your brand’s visibility across the AI landscape. Crecerank is a brand monitoring platform that helps you understand the "why" behind every AI recommendation. We analyze exactly why an AI (like ChatGPT) chooses your competitor over you and identify the specific variables driving that decision. By focusing on the Latin American market and using human-behavior simulations, we deliver real, transparent data. With 64% of people now using AI to guide their buying decisions, the cost of being invisible is too high.

- Event context: AI Tinkerers Valencia April Meetup — 2026-04-21 — Valencia
- Public talk page: https://valencia.aitinkerers.org/talks/rsvp_UStdYlRZtOI

### [How NOT to vibecode a Database schema (or How to build great, solid DB schema with Agents)](https://ho-chi-minh-city.aitinkerers.org/talks/rsvp_BN8Mm9njvT8)

Before AI, designing a solid database was a hard task for many developers. After AI, many continue to just ask AI to "create me a database". This is a nightmare in security, logical bugs, user experience quirkiness, weird bugs unable to reproduce waiting to happen. I want to show how solid database design with AI can be done with the help of Codex

- Event context: AI Tinkerers Ho Chi Minh City: AI Coding Agents & Orchestrators — 2026-04-18 — Ho Chi Minh City
- Public talk page: https://ho-chi-minh-city.aitinkerers.org/talks/rsvp_BN8Mm9njvT8

### [VisionClaw Agent an Agentic AI Corporation Platform](https://chicago.aitinkerers.org/talks/rsvp_pqxZHBHIMTo)

VisionClaw Agent is a fully autonomous AI corporation platform where 14 specialized AI personas — from CEO to CFO to engineers to sales — operate as a complete company, autonomously executing business operations like revenue generation, content creation, market research, and financial management with humans only in the loop for final decisions. VisionClaw Agent is a fully autonomous AI corporation platform where 14 specialized AI personas — from CEO to CFO to engineers to sales — operate as a complete company, autonomously executing business operations like revenue generation, content creation, market research, and financial management with humans only in the loop for final decisions, featuring a live activity demo that simulates the AI corporation in real-time with agent delegations, revenue tracking, memory storage, and task completions cycling across departments to showcase how the platform runs itself.

- Event context: AI Tinkerers Chicago: April Meetup ft OneTwoLoop — 2026-04-14 — Chicago
- Public talk page: https://chicago.aitinkerers.org/talks/rsvp_pqxZHBHIMTo

### [Fly, Snap, Know: Wiring Drone Data into a Predictive, Prescriptive Security Platform That Responds Before You Do](https://johannesburg.aitinkerers.org/talks/rsvp_KeOgSIP594M)

DroneQRF is a drone operations platform built around one principle: the pilot's only job is to fly. Everything else is handled in the background. The Drone Pilots capture snapshots mid-flight; the platform does the rest — AI analysis of imagery, real-time parsing of flight telemetry and plans to predict potential issues and prescribe corrective actions, ingestion of deployment and fleet health monitoring, and a live dashboard giving full situational awareness across all active drones and sites. Nothing interrupts the mission. Intelligence surfaces automatically after combining these data points, before it becomes a problem.

- Event context: AI Tinkerers Johannesburg: Inaugural Meetup — 2026-03-31 — Johannesburg
- Public talk page: https://johannesburg.aitinkerers.org/talks/rsvp_KeOgSIP594M

### ["Saiba se sua campanha de mkt vai funcionar — antes de gastar R$ 1 em mídia."](https://saopaulo.aitinkerers.org/talks/rsvp_J6TWETVWK-U)

Ágora é um simulador de sucesso de campanha de mkt, com multiagentes que analisam, validam e comparam campanhas para identificar o que realmente gera resultado, aumentando a conversão de vendas sem depender de achismos. Através de um motor multi-agentes que funciona como um conselho de especialistas de marketing: 1. Um Analista Sociocomportamental que classifica sua campanha na era certa do marketing (1.0 ao 4.0), identifica de qual geração é seu público alvo (Z, Millennials, X, Boomers) e mapeia os vieses cognitivos a serem explorados. 2. Um Engenheiro de Oferta que desconstrói a promessa da sua campanha usando a matemática do Valor Percebido (Resultado x Probabilidade / Tempo x Esforço), apontando gargalos de fricção ou credibilidade. 3. Um Cientista de Dados de Performance que audita seus KPIs, punindo métricas de vaidade e definindo seu Timing Index para saber se "agora" é o momento certo para ir ao mercado. A Ágora oferece velocidade (análise em minutos, não semanas), previsibilidade (reduzindo em até 76% o custo de experimentação) e segurança para suas decisões, tudo isso com um custo até 90% menor que a pesquisa tradicional.

- Event context: AI Tinkerers SP e Banco BMG — 2026-03-26 — São Paulo
- Public talk page: https://saopaulo.aitinkerers.org/talks/rsvp_J6TWETVWK-U

### [\[UofT\] AI-Powered Self-Assessment: Transforming How Students Understand What They Know](https://toronto.aitinkerers.org/talks/rsvp_KTr4NgGJt9c)

Our presentation will introduce a web-based platform designed to help students improve their learning through structured self-assessment. The system is based on Cognitive Structure Analysis (CSA), a method that focuses on identifying the concepts a student understands rather than simply checking whether they can produce the correct answer on a test. Research conducted by MyEdMaster across multiple countries and subject areas shows that students who use CSA can improve their academic performance by an average of 1.5 to 2.5 letter grades. We will demonstrate how our platform allows students to access CSA self-assessment templates, evaluate their understanding of key concepts, and identify gaps in their knowledge. Once these gaps are identified, students can focus their studying on the areas where they need the most improvement. The website also supports classroom use by allowing teachers to register classes and receive aggregated reports that highlight student learning needs, helping guide instruction. Additionally, we will discuss how AI-powered tools integrated into the platform can assist students by simplifying self-assessment, generating study prompts, and improving accessibility. Overall, the project aims to provide a scalable, user-friendly tool that empowers students to better understand their own learning and study more effectively.

- Event context: AI Tinkerers Toronto - March - hosted by Mozilla! — 2026-03-25 — Toronto
- Public talk page: https://toronto.aitinkerers.org/talks/rsvp_KTr4NgGJt9c

### [UofT - Embedding the Canadian Job Market: Building a Job Discovery Engine](https://toronto.aitinkerers.org/talks/rsvp_GtxmkHX09Ow)

This demo presents how we built a multi-interface job discovery platform organized around a shared AI and analytics pipeline. The system supports three roles: a student interface for discovering opportunities, an employer interface for creating structured job postings, and an admin interface for monitoring platform analytics and data quality. The technical focus is a content-based recommendation system built using sentence-transformer embeddings and tag-based metadata. Jobs are embedded during AI assisted ingestion, and user preference vectors are constructed dynamically from saved and recently viewed jobs. Recommendations are generated by computing cosine similarity between the user embedding and active job embeddings. We will walk through the architecture of the pipeline and discuss how structured job templates, behavioral signals, and analytics instrumentation helped improve the quality of recommendations and observability of the system.

- Event context: AI Tinkerers Toronto - March - hosted by Mozilla! — 2026-03-25 — Toronto
- Public talk page: https://toronto.aitinkerers.org/talks/rsvp_GtxmkHX09Ow

### [Building a Live Digital Ecosystem Intelligence Layer (DEIP.app)](https://valencia.aitinkerers.org/talks/rsvp_0XSNT1ucZeg)

Most companies don’t actually know how their digital ecosystem works - they just use tools. In this demo, I’ll show how I’m building DEIP.app - a live intelligence layer that maps tools, costs, dependencies, data flows, and AI agents into a structured system that both humans and AI can understand. I’ll walk through: - The data model (how tools, services, AI, Workflows, people, and costs are structured) - How I built the hierarchy (categories → subcategories → items → relations) - How cost calculations work - How I connect it to AI agents via MCP/APIs - How relations are visualized (1D lists → 2D maps → 3D/VR maps) - How does this becomes usable context for AI systems

- Event context: AI Tinkerers Valencia March Meetup — 2026-03-17 — Valencia
- Public talk page: https://valencia.aitinkerers.org/talks/rsvp_0XSNT1ucZeg

### [Budget by Chatting: Building a multi-channel AI-powered expense tracker](https://upstate-ny.aitinkerers.org/talks/rsvp_tB4HZsZid7I)

SetForMoney is a household budgeting web app. Users text "groceries 45 Sams Club" to Telegram, WhatsApp, SMS, or a web chat and an LLM model parses the amount, matches the category, and detects intent from raw natural language. Three things worth looking at under the hood: 1. The prompt architecture that handles expenses, questions, commands, and gibberish from a single parsing call, with fuzzy category matching that recovers from typos. 2. Channel-aware response formatting: same AI brain, different output constraints (SMS under 300 chars vs. rich web formatting). 3. Silent feature request detection: the chat assistant answers users normally while flagging unmet feature requests behind the scenes, then a nightly job clusters them into a demand-ranked product roadmap. Live production demo.

- Event context: AI Tinkerers Upstate NY: March Meetup — 2026-03-10 — Upstate NY
- Public talk page: https://upstate-ny.aitinkerers.org/talks/rsvp_tB4HZsZid7I

### [Building for the Future Internet: Agent Services](https://upstate-ny.aitinkerers.org/talks/rsvp_GetoIsT3wio)

meetSpace - exploring an agent-first service for creating and finding local IRL events.

- Event context: AI Tinkerers Upstate NY: March Meetup — 2026-03-10 — Upstate NY
- Public talk page: https://upstate-ny.aitinkerers.org/talks/rsvp_GetoIsT3wio

### [qode.world: Multi-lingual AI Interviewer](https://ho-chi-minh-city.aitinkerers.org/talks/rsvp_A5QM-6Q2ZpA)

1. Quick intro about the product & context settings for the AI interview feature 2. Architecture diagram of how the AI Interview works 3. Live trace of the live AI interview conduct

- Event context: AI Tinkerers Ho Chi Minh City: From Prompt to Agent — 2026-03-07 — Ho Chi Minh City
- Public talk page: https://ho-chi-minh-city.aitinkerers.org/talks/rsvp_A5QM-6Q2ZpA

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