c0mpiled-3: The Climate Stack
Overview
c0mpiled-3/ucd was our first of 5+ upcoming collegiate hackathons! We welcomed 75+ talented builders to a distinctively Davis-themed challenge: the climate and agriculture tech space. After a cozy fireside chat with our three lovely founders (thanks Coline, Austin and Henry!) we got to building and ended the night with 24 strong project submissions.
Reflections
- Good: Fireside chat was a great way to engage our founders/judges and helped kick off connections with participants
- Good: Founders were kind enough to stay late and had great, impactful conversations with the winners and other interested builders
- Bad: Improve submission process. Long text descriptions didn't add much info on top of videos and mostly slowed things down. Partial submissions/resubmissions complicated clean division of judging labour.
- Bad: Event start was a bit disorganized and participants were unsure of the schedule. This hindered mingling because some teams jumped into hacking straightaway. Going forward, I'll post the schedule on Luma prior to the event, and have an earlier announcement at the event to make things more clear.
- Observation: Would be valuable to have a more structured way of connecting people. Several participants (and founders) expressed interest in connecting with people of a certain background. Great opportunity to upgrade my existing participant screener (blog post coming soon!)
- Observation: We missed check-ins at the beginning, so Jake and I went around checking participants in later. Was actually a great way to learn a bit about each project and make sure any questions/concerns were addressed. Learning is to still check-in participants at the start, but also do a comprehensive walkaround later to see where teams are at.
- Observation: Many submissions featured beautiful and useful simulations, modeling the spread of wildfires, pest swarms, drones, etc. Great project format for a hackathon because it's visually appealing and a perfect AI use-case. Some pitches could have been strengthened by validating the accuracy and groundedness of simulations.
- Observation: Going forward, will do quick workshops on any dev tools / sponsors to get builders up and running. Since our hackathons are super quick, many participants feel hesitant about allocating time to set-up. We can help!
Additional Sponsor
Morph (YC S23)
Judges
- Sorcerer (YC S24): Austin Tindle
- Cactus (YC S25): Henry Ndubuaku
- Tellia (EF): Coline Labadie de Fay
Prizes & Recognition
1st Place ($3,000): Team TRIO
2nd Place ($1,500): Field Commander
3rd Place ($500): CropBase
Most Venture-Backable: bov.AI.ne
Most Technical: LeafGuard
Most Beautiful: FarmSense
All Submissions
LeafGuard
- Description: Platform for farmers to diagnose crop diseases, receive treatment plans, and assess spread risks via leaf photography.
- Team: Vivek Narayana, Nikhil Karthikeyan
- GitHub: https://github.com/kavishkartha05/Climate-Stack-Hackathon
- Video: https://drive.google.com/file/d/1NNfWy3Ab35VAHPoZmj97ZRewRK5fDS1P/view?usp=sharing
Promptr
- Description: Helps app creators craft optimized vibe coding prompts to minimize token waste, environmental impact, and repetitive development iterations.
- Team: Kylie Lallak, Arnav Akula
- GitHub: https://github.com/arnavakula/promptr-c0mpiled
- Video: https://youtu.be/mDuTZnVcJUU
CropBase
- Description: Transforms farm spreadsheets into AI-powered operations dashboards, helping managers prioritize daily tasks and coordinate crews without switching from their existing tools.
- Team: Parwaan Singh, Bhajneek Anand
- GitHub: https://github.com/exclipse123/CropBase
- Video: https://drive.google.com/file/d/1h4pMFX3CwajblE3lXbJ4SValg0UvoEZu/view?usp=sharing
AlmondOps
- Description: Generates 72-hour, stage-specific weather risk reports and actionable operational plans to help almond growers protect their crops from frost, heat, and disease.
- Team: Sai Ganesh Chamarty, Shashank Chamarty
- GitHub: https://github.com/SaiChamarty/AlmondOps
- Video: https://www.loom.com/share/c50af3a34cdd4a6d9d3e5f537c2b868f
FloodRiskSMS
- Description: Offline SMS assistant that provides location-specific flood risks and actionable safety guidance for internet-deprived Philippine communities using real-time weather data.
- Team: Adwit Aggarwal, Norman Gutierrez, Maksim Shikhaleev
- GitHub: https://github.com/adwit-agg/scaling-octo-eureka
- Video: https://drive.google.com/file/d/1pItnnmIf6OcpExmlzE-Kj7UCDtF5DLwx/view?usp=sharing
MiClimate
- Description: Provides people worldwide with live extreme weather tracking through custom sensors and heat maps to deliver personalized safety insights.
- Team: Bowen Dayrit, Aydin Merchant
- GitHub: https://github.com/Aydinm1/ClimateStack
- Video: https://www.awesomescreenshot.com/video/49437244?key=b4b992230306009fa94e6fb0d2ba6712
Agro
- Description: An offline application providing farmers with actionable agricultural recommendations to optimize crop management in remote areas without internet connectivity.
- Team: Yugraj Dhillon, Aktan Azat, Teddy Liu
- GitHub: https://github.com/aktanazat/agro
- Video: https://www.loom.com/share/1ae97a389c5149c0a26fd14729a258e3
HELIOS Ops
- Description: Uses real-time environmental data to help operators proactively optimize resource allocation and mitigate risks like drought and heat stress.
- Team: Arnav Sharma
- GitHub: https://github.com/ArnavSharma2006/
- Video: https://drive.google.com/file/d/1D4N3IWm4xudZGolMx-Ji7IAE4p4294cS/view?usp=sharing
Field Commander
- Description: Wildfire decision platform that helps farmers protect crops by analyzing satellite data to predict yield risks and recommending research-based mitigation actions.
- Team: Andrew Kuang, Bardia Anvari
- GitHub: https://github.com/TheLickIn13Keys/c0mpiled-hackathon
- Video: https://www.loom.com/share/cff626dcca6b4e6c84bf2b8f3df974fc
Sprout
- Description: Provides small farmers with affordable precision irrigation by transforming noisy, low-cost sensor data into reliable, actionable insights through real-time software processing.
- Team: An Le, Roshan Kattil
- GitHub: https://github.com/xntle/sensor.git
- Video: https://drive.google.com/drive/folders/1rGme8rJxcGCBu1l8A6GFnTbw-Yfhj3bv?usp=share_link
INTERLOCK
- Description: Transforms homes into fireproof, insurable assets for homeowners by replacing flammable wood framing with prefabricated, seismically reinforced earth blocks.
- Team: Kirsten Luna Valladolid
- GitHub: https://github.com/klunavalladolid-dotcom/Interlock---Earth-Block
- Video: https://www.loom.com/share/81143615acc74fb69c0223528da0120a
Weedr
- Description: Automated web monitoring identifies online sales of invasive plants to help agencies and marketplaces prevent illegal trade and protect native ecosystems.
- Team: Siddharth Singh Killedar
- GitHub: https://github.com/sidkilledar/Weedr2.0
- Video: https://youtu.be/ipyYMxTdTaw
FarmSage
- Description: Helps farmers optimize crop planning by simulating and ranking climate-resilient strategies based on yield, water efficiency, and soil health tradeoffs.
- Team: Aditi Agrawal
- GitHub: https://github.com/Aditii2112/FarmSage/tree/main
- Video: https://drive.google.com/file/d/1j7UVs-Q60YhjKRXQYOyR2RzFGxnN1kUd/view?usp=sharing
AggieScout
- Description: Transforms real-time sensor data into immediate mitigation protocols to help Central Valley farmers protect high-value crops during critical agricultural emergencies.
- Team: Rajaram Manohar Joshi, Ansha Prashanth, Kunjal Agrawal
- GitHub: https://github.com/joshirajaram/AggieScout-Hackathon-Feb13
- Video: https://drive.google.com/file/d/1_IUbfn6m6DD6b6gchIuazMlL--QMXapW/view?usp=sharing
W.E.E.D
- Description: An AI-powered IoT dashboard that provides indoor cannabis growers with real-time, spatial health visualizations to prevent crop loss and optimize harvest quality.
- Team: Oseghale Oboh, Soham Gaikwad
- GitHub: https://github.com/zinp5/hackathon
- Video: https://www.loom.com/share/15654c6e5b834b50924003d3926774f2
AutoDrone
- Description: LLM-driven simulator that automates autonomous drone navigation for Davis campus delivery logistics, helping operators and pilots optimize flight paths through intelligent mission control.
- Team: Ryan Sieh, Nils Fleig, Atin Kumar Singh
- GitHub: https://github.com/Davis-Autonomy-Club/cesiumsim
- Video: https://youtu.be/DeTn7IUrNgA
Team TRIO
- Description: Helps farmers mitigate crop risks and optimize yields by transforming real-time climate data into actionable, AI-powered recommendations and sustainability insights.
- Team: Vikhas Somasundaram Giri, Aviral S., Rahul Kanagaraj
- Video: https://drive.google.com/drive/folders/11jUtRQyytB3_lAB5srgmdCoVnDNqzKd-?usp=sharing
FarmSense
- Description: Uses satellite imagery and AI to help farmers detect crop stress, diagnose causes, and optimize scouting routes to prevent financial losses.
- Team: Chaitanya Agarwal, Niranjan P Shankar
- GitHub: https://github.com/cagarwal27/farm-scout
- Video: https://www.loom.com/share/45fb4aeb20e94e518bb7debe64a12103
N-Guard
- Description: Helps agricultural operators optimize nitrogen application by analyzing weather and soil data to prevent environmental contamination and ensure regulatory compliance.
- Team: Krishna Aggarwal, Aadi Gupta, Omar ElNashar
- GitHub: https://github.com/224-aadi/NGuard
- Video: https://www.loom.com/share/8367771380414035bb82175e5739b438
Somesh
- Description: Predicts stem water potential and automates controllers using satellite, weather, and soil data to reduce manual measurements, helping almond growers optimize irrigation.
- Team: Hishaan Rajwani, Varun Jay Kadapatti, Ananth Ramkumar
- GitHub: https://github.com/hishaan08/c0mpiled
- Video: https://www.loom.com/share/76f3f093dc074bdca0dde1990de06fe6
bov.AI.ne
- Description: CRISPR intervention that permanently re-engineers cattle microbiomes to reduce methane by 92%, helping farmers increase feed efficiency and generate high-value carbon credits.
- Team: Rithika, Aparna Ganapathi Basavapatna
- GitHub: https://github.com/Rithika345/bon.AI.ne
- Video: https://youtu.be/H6vA0Wao2co
TerraMind
- Description: Provides farmers with conversational agronomy advice via phone or text by integrating satellite imagery, weather data, and research for instant, on-site field decision-making.
- Team: Himanshu Nimonkar, Dhairye Gala, Aman Dwivedi, Avni Kandya
- GitHub: https://github.com/himanshu-nimonkar/TerraMind
- Video: https://drive.google.com/file/d/1COrhMBY4zZfxxby2JSauIzGl_uQVJd7a/view?usp=sharing
PestCast
- Description: Transforms smartphones into real-time pest sensors, giving farmers immediate tracking data and actionable alerts to prevent devastating crop losses.
- Team: Sathvik Parasa, Shanyu Dabbiru, Kavin Agarwal, Raquib Alam, Andy Tran
- GitHub: https://github.com/KavinLAH/Climate_Stack/
- Video: https://www.loom.com/share/3aaf20742dd34b36bcfea170abcd930c
WattWait
- Description: Empowers residents to reduce energy bills and emissions by displaying real-time appliance costs and optimal usage suggestions within smart home apps.
- Team: Danny Kwong, Ryan Ffrench
- GitHub: https://github.com/Dannykcw/WattWait
- Video: https://www.loom.com/share/874ce557b1a8450a82f8dd0ab12ad466
Photos
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