Tulsa Tech Week

Join the Tulsa City-County Library to explore the Maker Space and discover new tools for your projects. Learn about the equipment, how to gain access and then join us for a demo on the laser engraver.

Register Now: https://luma.com/hg6weyqk

Únase a nosotros en la Biblioteca del Condado de Tulsa para el evento de Informática Básica: Correo electrónico con Gmail.

Se recomienda que los participantes tengan conocimientos básicos sobre el uso de computadoras. Por favor, traiga su tarjeta de la biblioteca para asistir o llegue 15 minutos antes de la clase para obtener una.

Regístrate ahora: https://luma.com/i7470pyt

When it’s time to ask someone else to invest in your work, a powerful story isn’t always enough. Can you clearly explain the problem you’re solving? What’s changing because of your work? How do you know? And why should a funder invest?

Enjoy coffee on Amplify for Women at one of Tulsa's only Black-owned coffee shops. Stay for a candid fireside conversation about the connection between fund development and evaluation, where you will learn what nonprofit leaders and social entrepreneurs often miss when pursuing funding.

Register Now: https://luma.com/2liav0vt

Join EssentialMD and NextGen Tax for a focused morning session at Mi Tea Lounge in downtown Tulsa. This collaboration brings together medical professionals and tax specialists to talk through practical strategies for managing your physical and fiscal health.

Over a cup of tea, you will have the chance to hear directly from Dr. & CPA McGhee for a reality check on the importance of proper stress management for your physical health and proper cash management for your financial health.

The setting is relaxed and conversational, designed to give you a fresh perspective on protecting the asset (you!)

Register Now: https://luma.com/eovgs1f9

Spec is a new web app for finding live local music, built here, launching here.
Most music apps are built around bands.

Spec is built around people. Every musician is a node 👉 tap a drummer, see every band they play in, follow the thread until you're somewhere you didn't know existed. Swipe the map to see who's playing tonight. Adding a show is as easy as saying "Spec, add a show." The app is free for fans and musicians.

Tuesday, Sept 22 at The Colony. Doors at 8, after happy hour. Come early for more music, get a refreshment, pull up Spec, and leave a photo or a comment on tonight's show.

At 9, Knipple plays until 11. They're the reason this app exists. Jordan and Nicholas are the rhythm section behind half the bands in this town, two people and dozens of connections, standing on one stage.

No panel, no deck. A bar, a demo, and a loud duo.

This one's for the builders, bartenders, fans, band members, and anyone who's ever asked, "What's going on tonight?"

See what we've built: news.getspec.app

Register Now: https://luma.com/ym39bhbc

Rhythm & Business is an evening of 90s R&B and real networking, hosted by two Tulsa founders sell to the same customer in very different industries.

Flowvio builds case management software for school counselors. Menovē builds the clinical record for peri/menopause . For one night, both audiences are in the same room on the same rooftop, with quiet storm classics playing the whole time.

Here's what to expect:
- Hands-on demo stations where you can try both products, ask questions, and sign up on the spot.
- Quiet storm bingo designed to get you talking to people you came to meet, with a prize for whoever connects with the most.
- A rooftop full of educators, administrators, founders, and professionals worth knowing.

If you're a school counselor, principal, administrator, or a woman 35 or older, your first drink and dinner are covered. Just show your work badge or ID at check-in. Everyone else is welcome too, and we'd love to have you.

Register Now: https://luma.com/inqpmu3r?tk=ndK7JR

Join Techlahoma Foundation and Google Developer Group Tulsa for a practical session on local models and fine-tuning. We’ll use Google’s Gemma family as the throughline while exploring:
- What can realistically run on a laptop or consumer GPU
- How quantization changes memory use, speed, and quality
- Fine-tuning versus prompting, retrieval, and tool use
- How parameter-efficient methods such as LoRA adapt a model without retraining every weight
- How to prepare a small, useful dataset and keep evaluation examples separate
- How to compare the base model with the tuned model so “better” means more than a good demo
- Where local inference improves privacy, cost, latency, offline access, or control and where a hosted model is still the better choice

Expect a technical talk, practical demos, honest tradeoffs, and time for questions. You do not need prior machine-learning experience, and you do not need a GPU to follow along.

Register Now: https://luma.com/r166uhh4