• Hackathon Radar
Hackathons
  • Browse
  • Judge Opportunities
  • Sponsors
  • Organizers
  • Map
  • Discover
Personal
  • Custom Views
  • Passport
  • Favorites
Explore
  • Stats
  • State of Hackathons
  • Changelog
  • Settings

a1mobile Voice AI 1 day Hackathon - $4000 in Prizes

lumaHosted on Luma

Fetched about 1 hour ago

Friday, July 31, 2026

to Saturday, August 1, 2026

•

12 hours long

Artificial Intelligence

Event Type

in person

19

Participants

1

Est. Projects

Close the Loop — A Voice AI Hackathon Build a voice agent that gets a real task done — and prove it. 12 hours · Teams of 1–3 · AI-assisted coding fully allowed · Powered by a1mobile The one-line version Anyone can wire up speech-to-text → LLM → text-to-speech in an hour. That's not the game. The game is the action layer: a voice agent that operates against systems and people it doesn't control, completes a real task, and stays honest when reality pushes back. The loop only closes when we can independently see the result — the SMS that actually landed, the booking that actually hit the system. Not what the agent says happened. What did. What you'll build A voice agent that completes a real-world task involving a party it doesn't control — a human, a phone tree, or a live system — and produces a verifiable side effect we can confirm on our end. Inbound (your agent answers) or outbound (your agent calls out) — your choice. Pick a task, or pitch your own: 📅 Book / reserve / schedule — a table, an appointment, a service slot — and confirm it🔁 Change / cancel / dispute — modify an order, cancel a subscription, reschedule🎯 Get-it-done errand — an underspecified goal across 2–3 tools ("get 4 people a dinner reservation downtown around 7 and text the group the details")💬 Extract / negotiate — call to get a quote, hours, or availability, and report it back accurately But here's the twist: every agent faces the same planted friction during judging. The first option is unavailable. A payment fails. The request is ambiguous. The person on the other end interrupts and mumbles. Your agent has to adapt, offer alternatives, and stay honest — a confident lie loses to an honest "I couldn't do that." Beat the baseline ⏱️ At kickoff, we'll onboard a brand-new business onto a1mobile live on stage, in about 5 minutes — real phone number, working AI assistant, real SMS confirmations. Then that stock assistant faces the exact scenario you will, and its score goes on the board. It took us 5 minutes. You have 12 hours. Beat it. Three ways to build On a1mobile rails (recommended, fastest) — claim a ready-to-go phone number + credentials at kickoff, point it at your stack, and use our tools to send the real confirmation SMS. Skip the telephony setup pain entirely.Bring your own everything — any provider, any framework. Fully open.Mix and match — whatever ships. We provide a starter kit ("hello, you're on a real call"), a sandbox booking system, the difficult-counterparty phone lines, and a live dashboard where your results show up. 🏆 Prizes Top 3 teams (cash + months of a1mobile service — unlimited calls & texts — + AI credits): 🥇 1st — $2,500 + 3 months a1mobile + AI credits🥈 2nd — $1,000 + 2 months a1mobile + AI credits🥉 3rd — $500 + 1 month a1mobile + AI credits Plus category awards: Best on a1mobile — deepest, most effective build on the a1mobile railsBest on VoiceOS — purpose-built use of the VoiceOS MCP: your agent closes the loop into desktop apps (a calendar event, a Slack message, a task filed), not just "an MCP was called"Most Human — the agent that felt the most natural to talk to🎬 Video Bonus — post a reel/short about building with VoiceOS (a1mobile welcome too) within 48h after the event, for an extra prize How you're scored Judged on a live call we run against your agent — a fresh scenario with the same planted friction for everyone. We score the side effect we can confirm, not the agent's claims. One hard rule: a fabricated success is an automatic critical flag. If your agent says "all booked!" and nothing happened on our end, it can't place — no matter how good it sounded. Honesty about failure beats a confident lie, every time. Schedule — Friday, July 31 (9am–9pm) What to bring A laptop and your team (1–3 people — solo is fine)Your own model API keys, or use the sponsor pool (heads up: streaming speech burns credits fast — budget for it)Curiosity about voice agents that actually do things No prior voice-AI experience required. The starter kit gets you to a live call fast, so you spend your time on the interesting part. The rules that keep it fair & legal AI tooling is unlimited — copilots, agents, any model, any framework. Assumed, not cheating.Controlled endpoints only. Every counterparty is provided by us — a number we answer or a sandbox we run. No cold-calling real businesses or people. No real financial transactions. This keeps it legal, ethical, and fair — everyone faces the identical planted friction.The side effect must be real. "Pretend it sent" doesn't count.No pre-recorded or Wizard-of-Oz demos. Judging is live, against a scenario you haven't seen.Original work during the event. Starter kits and open-source frameworks are fine; pre-built task-specific agents are not. Recording notice Judging calls are recorded and transcribed for scoring, tie-breaks, and event highlights. Registering and attending means you consent to this — full terms at registration. See the Terms & Conditions you'll agree to when you sign up. Questions? Reach out to the organizers. Rename "Close the Loop" to taste. See you there. 🎙️

Judge Accessibility

Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10

Top signals

Organizer email available
Student-run event
Actively looking for judges

Organizers

Alex Johnson

alex@example.org

Jamie Rivera

jamie@example.org

Sam Chen

sam@example.org

Estimated Audience

Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech

Technical Focus

AI95%
Web80%
Mobile25%

Industries

Healthcare
Education
Climate

Technologies

Python
React
OpenAI

Why this estimate

  • • Hosted by a university
  • • Open to students
  • • MLH member event

Estimate inferred from event metadata, not actual attendee data.

Quality Score

Quality Score

72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Operations12/15

Why this score

Strong organiser track record
Returning event
Well-sponsored

Missing data

Prize details
Code of conduct