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LatentForce · BuildSprint 2026

The Builders
Who Shipped It

28–30 August 2026 · 48 hours · online · 2 min read
TL;DR: the scoreboard
1st Prize Canopy Sai Charan Teja C V 2nd Prize NER Disaster & Logistics Command Center Ranjit Bhardwaj & Nikita Mishra 3rd Prize ClinAssist India Vishal Kumar SkillPatch Winner ShipShow Ramkumar R
2.6k+
registered
245
submissions
48h
build window
₹50K+
in prizes

Friday, 28 August, 6 PM: a blank terminal, LatentCode connected, and a shelf of already-reviewed skills on SkillPatch that nobody was required to touch. No one had any idea what they’d end up with by Sunday.

245 teams shipped something in that window. Four of them stood out, and the interesting part isn’t just what they built. It’s how much of it they didn’t have to build alone.


1st Prize

Canopy

An aerial forest canopy with the word CANOPY overlaid in white serif type, subtitled: a compiler, linter, and package manager for agent instruction files

Canopy fixes a problem almost every team building with AI coding agents runs into eventually: the instruction files that steer them, CLAUDE.md, AGENTS.md, .cursorrules, quietly start contradicting each other and rotting as a codebase grows, and nothing catches it until the agent gets it wrong. Canopy catches it first, automatically, running ten deterministic checks for conflicts, duplication, and drift before any of it reaches an agent, even leaning on a frontend-design-review skill from SkillPatch to shape its own dashboard.


2nd Prize Team Decoders

NER Disaster & Logistics Command Center

The NER Disaster and Logistics Command Center dashboard: a live satellite map with hazard overlays, an active disaster feed, and a route corridor panel showing highway status

In India’s North Eastern Region, a landslide or a flood can cut a district off from medicine, food, and supplies, with no way for anyone to know which roads are even passable. Ranjit Bhardwaj and Nikita Mishra used LatentCode to build a live command center that maps the disruptions, flags safe routes, and tracks relief vehicles in real time, pulling in fastapi-router-py, agents-md, and frontend-ui-dark-ts skills from SkillPatch along the way. For a dispatcher deciding whether a relief truck can actually reach a cut-off village, that’s visibility that doesn’t currently exist anywhere else.


3rd Prize

ClinAssist India

ClinAssist India's clinical card in Hindi, showing a routine-severity dog bite case with PHC steps, a Kya Nahi Dena warning box, and a Golden Hour referral box

For a healthcare worker at a rural Primary Health Centre, the gap between a patient standing in front of them and the right clinical guidance can be the difference between a good outcome and a bad one. ClinAssist India closes that gap: describe a case in Hinglish and it generates a structured, ICMR-grounded treatment card in Hindi with clear next steps, using a prompt-optimizer skill from SkillPatch to keep its prompts sharp. In a district with one clinic and no specialist for fifty kilometers, that card might be the only second opinion a worker gets.


SkillPatch Winner

ShipShow

Introducing ShipShow: give it a URL, describe what to show, get a demo video, that simple, with badges for Gemini AI, Playwright, Sarvam TTS, and FFmpeg

Every hackathon submission needs a demo video, and making one usually eats more time than the actual build. ShipShow, which Ramkumar R put together with LatentCode, skips all of that: give it a URL and a one-line prompt, and it plans, records, narrates, and edits its own demo video, no screen recorder, no mic, no editing software. He then turned the whole thing into a skill, demo-video-pipeline, and published it to SkillPatch, where it’s live now, Verified with a 91/100 security score, ready for anyone to use themselves.

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