The Great Agent Hackathon, presented by TGPF 2026

The Great Agent Hackathon is a 24-hour, in-person build happening overnight in Bangalore, as part of The Great Product Festival, India's largest product and startup conference.

Teams get real problem statements, real mentorship through the night, and a live Main Stage finale in front of India's top product leaders at TGPF.

This year's hackathon is powered by Freshworks as the title sponsor, with Dodo Payments, ElevenLabs, Sarvam, AWS, and Anthropic powering the build.

Problem Statement Tracks

  • Track 1 - Customer & Employee Experience: agents built on Freshworks Agent Studio, MCP, and multi-agent orchestration.

  • Track 2 - Platform Agent Skills & Knowledge: reusable skills, MCP integrations, and the Freshworks developer platform.

  • Track 3 - AI-native Enterprise (Open): open canvas, any stack, greenfield agentic products.

Examples

Track 1: Customer Experience & Employee Onboarding Agents

Voice Support Agent - handles a support conversation, identifies intent, takes actions and hands off to a human when needed.

Employee Policy Agent - answers HR/policy questions and proactively guides employees through relevant processes.

Track 2: Platform Agent Skills & Knowledge

Universal Company Knowledge Agent - connects Slack, docs, CRM, tickets and internal wikis to answer questions with context.

Knowledge-to-Action Agent - doesn't just retrieve information; converts company knowledge into actions and workflows.

Agent Handoff Skill - intelligently decides when one specialist agent should hand a task to another.

Track 3: AI-Native Enterprise Agents

AI Chief of Staff - monitors meetings, emails, tasks and priorities, then proactively drives follow-ups and decisions.

AI Operations Manager - monitors business metrics, detects anomalies and coordinates agents/teams to resolve them.

Autonomous Sales Agent - researches prospects, identifies intent, personalises outreach and manages follow-ups.

AI Finance Controller - monitors transactions, identifies anomalies, reconciles data and flags exceptions for human approval.

Requirements

Stage 1: Online Qualification Round

To qualify for The Great Agent Hackathon, teams must submit the following on Devpost before the qualification deadline:

  1. A Figma prototype or working demo of your idea addressing one of the 3 problem statement tracks. This does not need to be a finished product, a clickable prototype, wireframe flow, or early build is enough to show the idea clearly.
  2. A short written submission covering:
    • The problem statement your team is addressing
    • Your proposed solution and how it works
    • Why your team is the right one to build it
  3. A brief video walkthrough (1-2 minutes) explaining your prototype and idea. Loom, YouTube, or Vimeo links are fine.
  4. Team details: names, roles, and one line on relevant experience for each team member.

Submissions will be reviewed by the TGPF and sponsor team. Shortlisted teams will be notified and invited to Bangalore for the in-person build.

 

Stage 2: In-Person Build (Bangalore, Shortlisted Teams Only)

Shortlisted teams travel to Bangalore for the 24-hour overnight build as part of TGPF 2026.

At this stage, teams must submit:

  1. A working prototype or demo of the product built during the 24-hour build window, functional and ready to demo live.
  2. An updated project description covering what was built, the tech stack used, and how it evolved from the original Stage 1 idea.
  3. Public code repository link (GitHub or equivalent) with a clear README.
  4. A live demo on the Main Stage in front of judges and the TGPF audience.

Hackathon Sponsors

Prizes

₹ 100,000+ in prizes
+ other prizes
Overall Winner
₹ 40,000 in cash
1 winner

Cash + ₹30,000 in ElevenLabs credits + ₹4,70,000 in Dodo Payments credits + ₹47,000 in AWS credits +₹80,000 in sarvam credits + ₹25,000 in Vobiz credits + $3000 in Anthropic credits

Track 1 Winner
₹ 20,000 in cash
1 winner

Cash + ₹ 2,30,000 Dodo payment credits + ₹47,000 in AWS credits + $2000 in Anthropic credits

Track 2 Winner
₹ 20,000 in cash
1 winner

Cash + ₹ 2,30,000 Dodo payment credits + ₹47,000 in AWS credits

Track 3 Winner
₹ 20,000 in cash
1 winner

Cash + ₹ 2,30,000 Dodo payment credits + ₹47,000 in AWS credits + $1000 in Anthropic credits

Best Project on Eleven Labs
1 winner

₹80,000 in credits
This price can be combined with Track winner prize

Top 20 teams
20 winners

₹ 47,000 Dodo payment credits each + ₹12,500 in ElevenLabs credits

Best use of Sarvam track
1 winner

₹80,000 in credits

Best Project on Vobiz
1 winner

₹50,000 in credits

Anthropic
1 winner

$100 in claude API per participant

Devpost Achievements

Submitting to this hackathon could earn you:

Judges

Minakshi Khuntia

Minakshi Khuntia
Senior Director of Product Management - Freshworks

Amrit Raj

Amrit Raj
Founder - Future Minds Institute

Swati Awasthi
Founder, Women In Product India

Judging Criteria

  • Innovation & Originality
    How creative and original is the idea? Does it approach the problem statement in a way we haven't seen before, or push beyond an obvious solution?
  • Technical Execution
    How well is the project built? Judges will look at functionality, code quality, and whether the team pulled off what they set out to build within the time given.
  • Use of AI / Agentic Design
    Does the project meaningfully use AI or agent-based workflows to solve the problem, rather than bolting AI on as an afterthought?
  • Relevance to Problem Statement
    How directly does the solution address the chosen track, Tech in Product, Growth and Monetisation, Sponsor-Driven Challenge, or Open Track, and how well does it solve a real, clearly defined problem?
  • Presentation & Demo Quality
    How clearly does the team communicate what they built, why it matters, and how it works during the live demo? Judges will weigh clarity and storytelling, not just polish.
  • Potential Impact
    If this were taken further, how much real-world value could it create for the people or businesses it's meant to serve?

Questions? Email the hackathon manager

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