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Past event#San Francisco

Droids Strike Back Hackathon

Droids Strike Back Hackathon

Overview

​An invite-only sprint; build the future of AI and Hardware. Selected teams will be considered for Afore Capital’s pre-seed program ($500k–$2M+).

Following the success of Agent Foundry and A New Agent, The Droids Strike Back is the second installment in our trilogy of hackathons — pushing the frontier at the intersection of AI and hardware. This exclusive gathering convenes top founders, ambitious developers, and frontier researchers to create venture-scale products.

Over one high-energy weekend, 200+ hand-selected builders will design, prototype, and deploy systems that combine AI with robotics and hardware integrations — from embodied AI agents to next-generation robotic platforms to state of the art simulations. Or continue building AI systems and software if hardware is not your forte.

💡 What to Expect

  • Hands-on technical workshops & mentorship from industry leaders
  • A showcase judged by top investors, operators, and AI experts
  • $5,000 in prizes 🏆 plus recognition & fast-track opportunities into venture-scale products

This is where the most driven entrepreneurs will launch companies that shape the future of AI and robotics.

🔗 More Info 👉 aforehacks.org

Tracks

Convex

Core track

Convex Challenge

Core track

ElevenLabs

Core track

Elevenlabs challenge

Core track

None

Core track

Omi Challenge

Core track

Omi x Convex challenge

Core track

Simulation Track

Core track

Software Track

Core track

Speechmatics × Vapi Challenge

Core track

Judges

Viswesh NG

Viswesh NG

Judge

Prateek Punj

Prateek Punj

Judge

NK

Nandakishor Koka

Judge

G

George

Apple Inc

A

arya

openai

Gaurav Jain

Gaurav Jain

Judge

Projects

Winner
FILLERAI

FILLERAI

By FILLERAI

Removes filler words from video then generates new video to clean up

SID4 members
WinnerReCode

ReCode

By ReCode

ReCode eliminates downtime by giving your application the ability to fix itself. Using Claude AI and Convex's real-time infrastructure, it detects production errors, autonomously patches the buggy code, and redeploys—turning hours of debugging into seconds of automated repair. It also uses Omi for real time notification to developers and manual voice approval of complicated fixes.

S1 member
WinnerSim-to-real RL

Sim-to-real RL

By Sim-to-real RL

Training Vision Language Models to control robots for manipulation

A1 member
Winnera24z

a24z

By a24z

digital twins that allow you to see issues in specific machines

B1 member
WinnerLegEx

LegEx

By LegEx

A wearable AI legal co-pilot that captures and summarizes legalese, provides real-time expert legal assistance, and proactively contacts human professional lawyers as needed.

TA2 members
WinnerTrueDose AI

TrueDose AI

By TrueDose AI

Medication errors kill 125,000 Americans yearly, with elderly patients most vulnerable during the critical post-hospital period when prescriptions change dramatically. TrueDose AI combines robotic dispensing with AI vision to create an intelligent medication cabinet that physically manages pills, visually confirms the correct medication before each dose, catches errors before they happen, and automatically adapts to prescription changes—eliminating confusion and giving families 24/7 peace of mind.

AG2 members