hack·february 26, 2026·10 min read
c0mpiled-4: Texas Ventures Group x Transpose
by lucas fedronic741 reads
Overview
We collaborated with Texas Venture Group to bring c0mpiled to 120+ builders at UT Austin. It was our most in-demand hackathon to date, seeing over 450+ signups! We ended the night with 36 submissions solving problems across energy and urban systems, ranging from urban tunneling visualizers to interactive energy grid simulations.
Reflections
- Good: Participants were super curious during the fireside and asked strong questions.
- Good: We had a great group of judges. Our in-person team connected really well with participants – there was lots of genuine curiosity in the room and great conversations.
- Good: Though some students struggled to ideate, they were very proactive about going up to our judges and discussing ideas.
- Bad: The theme (Energy and Urban Tech) was a bit tough for students to tackle. It was difficult to come up with original ideas without domain expertise, so we ended up seeing a lot of similar projects.
- Bad: Our hackathon venue (big amphitheater lecture hall) was not the most conducive for group work and mingling. We saw a lot of teams leave the room to find their own spaces to work, which resulted in less energy and mixing.
- Bad: Our judging system wasn't the smoothest and ran into some delays. We assigned half of the submissions to our in-person judges, gathering in a room to watch the videos together (took too long). Meanwhile, our remote judges tackled the other half. Reconvening to choose winners proved tough because each group lacked context about the other submissions.
- Observation: There were lots of cool simulation/visualization projects, but the setup/generation process wasn't always showcased in the demos (probably just the demo time limit coming into play). Judges were left wanting more!
Additional Sponsor
Morph (YC S23)
Judges
In-person:
- Entangl (YC S24): Shapol M. (CEO)
- Interface (EF): Mason Friedberg (Chief of Staff)
- Miru (YC S24): Armel Talla (CEO)
- UT Austin Professor & Founder Coach: Gena Gorlin
Remote:
- Waypoint Transit (YC W25): Varun Tandon (CEO)
- Cardboard (YC W26): Saksham Aggarwal (Co-Founder)
- Omni (YC W24): Zeeshan Zulfiqar (Founding Engineer)
Prizes & Recognition
1st Place ($3,000): Cheetah Drill
2nd Place ($1,500): SYVL
3rd Place ($500): Team Opus
Most Venture-Backable: AeroCharge
Best Design: Team Opus
Biggest Technical Challenge: Three clones and a bug
get the next recap, and the date of the next hackathon.
one email per event. winners, every submission, what we learned. no spam.
All Submissions
Aurum#
- Description: Aurum is a real-time power grid simulation dashboard with event simulation, constraint detection, and call assistance all on a real time map.
- Team: Chris Mathews, Arnav Jain, Prabhav Kasibhatla, Panav Mhatre
- GitHub: https://github.com/arnavjain-cs/Aurum
- Video: https://drive.google.com/drive/folders/1WxWWjDxw15ldkAztI_Qk0H4PtIAoj6Vz?usp=sharing
CityTwin AI Austin#
- Description: CityTwin AI is a real-time urban digital twin that integrates live ERCOT data with a predictive simulation engine to empower Austin city planners to stress-test energy policies, manage a $5M infrastructure budget, and optimize grid resilience against extreme weather events.
- Team: Mayank Jain, RJ Paidi
- GitHub: https://github.com/rjp123456/TVG-Hackathon-Urban-City
- Video: https://www.loom.com/share/b4a26fd8b8d44f6782832e2aca1476a9
CityScape#
- Description: CityScape is a gamified city planning platform that helps users understand energy and infrastructure needs of cities to build them more resilient cities against external shocks.
- Team: Rachel Coutinho, Melinda Dai, Alan Chen
- GitHub: https://github.com/Jiaqi07/CityScape-hackathon
- Video: https://drive.google.com/file/d/1jb45bkBq6D0Qw857g0cDuTJufA6E-FXm/view?usp=sharing
Runny#
- Description: Stormwater runoff forecasting tool using real-time data for industrial site planning.
- Team: Andrew Li, Julia Marie Apuda
- GitHub: https://github.com/Andrew-J-Li/runny
- Video: https://www.youtube.com/watch?v=pYVVJwcasPk
CashCrop#
- Description: AI-driven optimization engine that creates a dynamic, energy-intelligent supply chain by aligning food inventory with real-time grid pricing to maximize margins.
- Team: Sahasra Tummala, Samanya Girish, Cristina Marculescu, Navvya Srivastava
- GitHub: https://github.com/SamanyaG25/CashCrop.git
- Video: https://www.loom.com/share/7c41ac6da0aa4f8197ce515ea0b6cc64
HVAC Warriors#
- Description: Virtual powerplant dashboard simulating autonomous HVAC agents to recover from emergency.
- Team: Luke Henderson, Richard Huang, Maximilian Sandhu
- GitHub: https://github.com/Lukedhenderson/tvg-transpose-hackathon
- Video: https://www.loom.com/share/5e40dc1abc7947b5a2994bee90d11201
sustAIn#
- Description: sustAIn is an interactive mapping tool that analyzes renewable energy potential, grid infrastructure, fiber connectivity, and existing data center presence to generate an AI-weighted sustainability score for any selected location.
- Team: Rujula Padala, Niva Malthankar
- GitHub: https://github.com/MalthNiv/sustAIn
- Video: https://www.loom.com/share/06e49c66700e4001b7453bb0f60deb21
3D Memory#
- Description: A collaborative 3D reconstruction that keeps memory in 3D.
- Team: Sumin Hu
- GitHub: https://github.com/husuninder/hacky/commits/main/
- Video: https://www.loom.com/share/a1b1d8c52d48484bb3cec7877ebe417e
WaterMen#
- Description: City-scale AI-powered water system app with an interactive map showing leak risk, cost, and 311 events to support preventative decisions.
- Team: Saurav Kandel, Juan Garcia
- GitHub: https://github.com/juanjg05/tvg_c0mpiled_hackathon
- Video: https://www.loom.com/share/fc7115ad0c5444ccb100a9b308e954c5
SerChickenTheTall#
- Description: Compute task scheduler for idle autonomous vehicles.
- Team: Vesko Dostinov, Lucas Hollinger, Song Jia Xin
- GitHub: https://github.com/masterchicken23/texas-venture-hackaton
- Video: https://www.awesomescreenshot.com/video/49669885?key=0b595bb7c6336169fe8fa9a7f91d5304
Insurance#
- Description: Live AI B2B weather tracker that detects severe weather, runs risk analysis, and produces actionable steps via RAG pipelines for client safety and continuity.
- Team: Joshua Wu, Swarit Srivastava, Neev Gupta, Chetan Gorantla
- GitHub: https://github.com/swarit-1/weather
- Video: https://www.loom.com/share/2510a8fae88946389a3fc2b38d3c487d
StargateOS#
- Description: StargateOS is a real-time middleware AI agent that ingests ERCOT grid price signals every 2 seconds, orchestrates tiered Kubernetes workload shedding with checkpoint-preserving SIGTERM handling across a 100MW simulated data center, and quantifies avoided energy costs through a live Next.js dashboard with Supabase audit logging for SB 6 compliance.
- Team: Aarav Kansupada, Jai Sammpath, Anshul Mistry, Neel Byrappagari
- GitHub: https://github.com/AMMistry18/TVGHack
- Video: https://www.canva.com/design/DAHB6z8Rkvw/XqB_Ka4ixG17KkAyFqSZHg/watch?utm_content=DAHB6z8Rkvw&utm_campaign=designshare&utm_medium=link2&utm_source=uniquelinks&utlId=h017fdf733a
Flow#
- Description: AI-powered urban water infrastructure optimization platform using reinforcement learning, graph neural networks, and predictive analytics to cut leaks, forecast demand, and plan maintenance.
- Team: Chaithanya Kota, Marvik Patel, Keshav Singh
- GitHub: https://github.com/poxiewix9/Flow-TVG-2026
- Video: https://www.youtube.com/watch?v=BUQGh_uf7MM
Triage#
- Description: AI-powered EMS coordination system using real-time patient data, hospital capacity, and infrastructure constraints to route ambulances to optimal hospitals and reduce preventable deaths.
- Team: Tyler Gandelman, Rohan Yelandur, Aditya Pulipaka
- GitHub: https://github.com/Rohan-Yelandur/c0mpiled-hackathon
- Video: https://www.loom.com/share/448c671a3e114e2db9f810f24c6a5636
Runtime-Terror#
- Description: Visualization using heat flow and tectonic plate proximity to identify optimal geothermal sites capable of powering AI data centers with carbon-free, grid-independent energy.
- Team: Amol Mathur, Jared Sturisky, Arkady Marchenko, Carson Moore
- GitHub: https://github.com/carsonmoore13/Runtime-Terror
- Video: https://www.loom.com/share/fd152fbeaaae42ebadf68d84a1d9c2cb
Arbitrary Values#
- Description: Layered mapping interface that creates factor-scalable heat maps to identify optimal data center locations that reduce future energy strain.
- Team: JP Jewell, Nathan Aaker, Anh-Vu Nguyen, Dawson Zhang
- GitHub: https://github.com/zfalstic/morphmap
- Video: https://www.loom.com/share/95973d67085242418ac4733d55709916
nashenergy#
- Description: Decentralized P2P energy marketplace.
- Team: Dhilan Shah, Ravi Tej Guntuku, Hollis Griffin
- GitHub: https://github.com/ATX24/transpose_hackathon
- Video: https://www.loom.com/share/a6ad4a02eb6e4efc91c0f96b106afc73
JELLI#
- Description: JELLI is an AI-powered energy hedging platform that lets businesses and consumers profit from and protect against grid instability by dynamically managing physical power storage and virtual contracts.
- Team: Om Chavan, Neelesh Chevuri, Dhruv Ajmera, Vishruth Meda
- GitHub: https://github.com/vishy-m/compileHackathon
- Video: https://drive.google.com/file/d/13OOUUL3SwJXZ1eYXw32q2hnqvjI9WnEf/view?usp=sharing
GridAware#
- Description: GridAware is an AI-powered co-pilot that uses multimodal computer vision and a LangChain SQL agent to automate inspection, scoring, and maintenance routing for vulnerable urban grid assets.
- Team: Aarushi Lakhi, Kailer Laino
- GitHub: https://github.com/aarushi-lakhi/GridAware
- Video: https://youtu.be/2SOaGR8n4SY
InfraFlow#
- Description: Computational risk engine that models infrastructure permitting as a dependency graph and simulates how delays shift the critical path, finish date, and mitigation actions.
- Team: Atharv Mungale, Felipe Russo Henriques
- GitHub: https://github.com/AthM23/InfraFlow
- Video: https://www.loom.com/share/32641caa416c4b55a68c9c2d15897a9f
Metropolis#
- Description: Metropolis is building the regulatory nervous system for cities that never stop changing.
- Team: Shreshth Saride, Arushi Singh, Neelabh Vijayvargia, Sarthak Engala
- GitHub: https://github.com/Shreshth1x/energyhack/tree/main
- Video: https://www.loom.com/share/fcbdb5e9c81241cd897fe5fc8e235305
Meridian#
- Description: End-to-end AI system to identify the optimized next energy substation location in a city—from raw city data through a GPU optimizer and an AI agent to an interactive dashboard.
- Team: Rohan Balla, Akhil Krishnamurthy, Ankit Majumder, Adiv Padgilwar
- GitHub: https://github.com/AkhilKrishna16/tvg-hackathon-2026
- Video: https://www.loom.com/share/bcf7d59e87724b099c18300cf1ef9f3b
RASS#
- Description: Austin city-dependency simulator showing how storm-related failures cascade across power, water, fuel, food access, and emergency response, with recommended reroutes to keep services running.
- Team: Avery Allen, Siddhartha Venkatayogi, Shrestha Mishra, Ricardo Pena
- GitHub: https://github.com/shresthamishra76/txventure-hackathon
- Video: https://cap.so/s/zwdf8kn68n616b1
Build The Future#
- Description: EV charger operations MVP comparing severity-only triage vs certainty-aware triage (confidence scoring + verification) to reduce unnecessary technician dispatches.
- Team: Neil Daniel, Andrew Manoni, Aditya Patwardhan
- GitHub: https://github.com/NeilDaniel07/ev-grid-ops
- Video: https://www.loom.com/share/5d793f4b6f2b4009803f00dcdc414471
AeroCharge#
- Description: AeroCharge is an AI-powered EV fleet load management platform that prevents facilities from exceeding demand thresholds by allocating power across chargers in real time.
- Team: Parul Gupta, Ronak Jain, Rajvi Shah, Akshat Shah
- GitHub: https://github.com/akshatdotcom/energy
- Video: https://youtu.be/mM8SDmolwfs
Grid-Guard#
- Description: Grid-Guard predicts massive AI load spikes during extreme weather so engineers can proactively throttle power and prevent grid collapse.
- Team: Arjun Bhardwaj, Dhruv Pal, Aditya Patra
- GitHub: https://github.com/AdityaP9116/TVGHackathon
- Video: https://www.loom.com/share/0a586712a7a949baaae93533d6e90b9e
SYVL#
- Description: Our application is a real-time, closed-loop thermal routing and load-balancing system that processes live temperatures from distributed heat sinks and sources (data centers - power plants), computes dynamic heat transfer allocations to reduce thermal gradients, and then continuously updates system state through API communication between the control layer and a simulated plant.
- Team: Sreekant Gardas, Luke Lu, Youssef Anbar, Vihas Veggalam
- GitHub: https://github.com/lukelul/HeatSync
- Video: https://drive.google.com/drive/folders/1hr_s6moX-Z_igbY7Z4xwk7f5BJZSlqEk?usp=drive_link
Cheetah Drill#
- Description: AI-powered 3D underground simulator that optimizes subway tunnel routes for cost, construction efficiency, and geological risk – so cities know exactly where to dig before they spend a billion dollars finding out the hard way.
- Team: Athena Wu, Preyansh Jain, Reggie Kung, Nischay Hegde
- GitHub: https://github.com/nischayhegde/cheetahdrill.git
- Video: https://www.loom.com/share/aca6b8a2d36848759b95754b148e8fa2
Series Z#
- Description: The Bloomberg Terminal for distributed energy.
- Team: Mehak Arora, Damodar Kamani, Kaustubh Kondapalli, Md Rehan Mallick
- GitHub: https://github.com/DudeUnoob/tvg_hacks
- Video: https://www.loom.com/share/4c716702efdf461aac233fb210ce83d8
ChargePilot#
- Description: ChargePilot is a graph-powered EV charging urban planner that uses real Austin data to rank the best locations for new stations!
- Team: Luke Hartfield, Max Hartfield, Eric Hartfield, Raghu Subramanian
- GitHub: https://github.com/lukehartfield/hackathon
- Video: https://www.loom.com/share/bb90e1367cd747a5b92abc6a9086113c
Base Pulse#
- Description: Base Pulse is an AI-powered planning system that generates forward operating base layouts from perimeter constraints and instantly evaluates power connectivity, grid sustainability, and mission readiness risk under disruption scenarios.
- Team: Anvith Maddipoti, Dominic Schwarzenbach, Ethan Tang, Rushi Yalamanchili
- GitHub: https://github.com/ethantang06/BasePulse
- Video: https://app.screencastify.com/watch/xxTkTR0EnahP7X8fQQKv
Gridverse#
- Description: Gridverse builds an interactive energy grid simulation and decision-support system for planners, operators, and developers that models thousands of grid assets and 100+ configurable filters grouped across load, generation, storage, transmission, and policy constraints to simulate multi-megawatt demand shocks and deliver real-time actions that prevent overloads and outages.
- Team: Mehran Sarker, Dylan Marciano, Ben Sherman
- GitHub: https://github.com/dmarciano1/Final_Hackathon
- Video: https://drive.google.com/file/d/1sZmRwmZaiJSgi851weC83N6IAxpKrPLZ/view?usp=sharing
GridOS#
- Description: The Cursor for Interconnectedness which optimizes the process to approve electrical projects.
- Team: Prithvi Krishnan
- GitHub: https://github.com/prithsk/GridOS
- Video: https://app.screencastify.com/watch/n5laKWg3zMtUtL8sCnMR?checkOrg=40935689-034d-4801-a364-5a365cbb8353
T Time#
- Description: We built an event-driven API that enables environmentally conscious developers to automatically shift energy-intensive workloads—like ML training and data processing—to the specific moments when the Texas grid is powered by its highest percentage of wind and solar.
- Team: Nagaraj Veerappan, Jason Xie, Niraj Namburi, Zafir Nasim
- GitHub: https://github.com/zaforf/carbonawareapi
- Video: https://docs.google.com/document/d/1PGp_fNNxJmBnXd5gxcT-_cL0_RZHnB3d62JSDcrdwlk/edit?usp=sharing
Team EAGLE#
- Description: Drone-based deterrence for outdoor urban events.
- Team: Mason Hallmark, Jacob Abraham, Mitul Gouni, Rafay Bughio
- GitHub: https://github.com/rafayb28/morph-project/
- Video: https://drive.google.com/file/d/1NpuCj75pCFOsrADxqa1vGUKyLaalnONH/view?usp=sharing
AfterThought#
- Description: Afterthought uses current infrastructure, climate, and demographic data to simulate a 3D render of future disaster scenarios, helping utilities and regulators see how today's investment decisions will determine which communities lose power tomorrow.
- Team: Amogh Thodati, Vishal Rajkumar, Rishik Kolpekwar, Zeynep Sahin
- GitHub: https://github.com/RishikKolpekwar/after-thought
- Video: https://www.loom.com/share/37875a43618f434a9d2abd485c65b93b
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