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What we built** **Future Selves** is a voice-first interactive fiction game disguised as a daily ritual. Each day, the player gives the game one word about how they feel, receives a short “transmission” from a possible future version of themselves, and makes one small choice that nudges the story forward. Over time, new future voices unlock, and the cast expands from encouraging voices like **Future Self** and **Future Mentor** to more unsettling possibilities like **The Shadow** and other unchosen futures. **What problem it solves** Most self-improvement tools feel clinical, generic, or guilt-driven. They ask users to track, optimize, and correct themselves. **Future Selves** solves a different problem: it makes reflection emotionally engaging. Instead of asking, “What’s wrong with you?”, it asks, “What would the person you’re becoming want to tell you right now?” That makes self-reflection feel intimate, memorable, and motivating rather than dutiful. **The core experience** The hook is emotional contrast. Every future character has a distinct tone, perspective, and voice. **Future Self** sounds warm and grounded. **Future Partner** sounds intimate and vulnerable. **The Flatlined** feels muted and absent. **The Exhausted Winner** sounds polished but hollow. Players feel the difference before they even process the words, which makes the audio itself part of the gameplay. **How it uses ElevenLabs** ElevenLabs is central to the game, not just decorative. Every transmission is turned into character-specific speech using the ElevenLabs text-to-speech API. Each cast member maps to a different voice profile with tuned parameters like stability, similarity, and style, so the voices carry distinct emotional identities. The generated audio is then stored and played back in the app, turning written narrative into a performance the player can hear and feel. **How it uses Zed** We built the project in **Zed** and used it as our primary environment for rapid iteration across the Expo + Convex codebase. Zed’s speed and AI-assisted workflow helped us move quickly between narrative design, backend generation logic, and frontend polish. It was especially valuable for iterating on prompts, refactoring TypeScript across the monorepo, and tightening the game loop fast enough for hackathon pace.

Submitted 30 Apr 2026

DataBard helps data teams quickly understand and communicate the health of their data infrastructure. The problem: Data catalogs are dense, technical, and hard to digest. Teams waste hours manually reviewing schemas, chasing down test failures, and translating technical debt into stakeholder-friendly updates. The solution: DataBard connects to your data catalog (OpenMetadata, dbt) and automatically generates: A two-host AI podcast that walks through schema health, failing tests, lineage risks, and governance gaps A visual dashboard with health scores, risk-ranked tables, prioritized action items, and ownership accountability Who it's for: Data engineers who need to audit infrastructure fast Analytics leaders who need to report data quality to non-technical stakeholders Teams running weekly data health reviews Why it works: Get both a listenable summary for your commute and a shareable visual report for your Monday standup — generated in seconds, not hours. Built with: Next.js, ElevenLabs, Venice AI, Paper MCP, Kiro

Submitted 22 Apr 2026

Deploy AI voice agents to call businesses at scale and collect data that doesn't exist online. Inspired by the engineer who called 3,000 Irish pubs to track Guinness prices, FieldVoice democratizes large-scale phone research. Define your question, target businesses via Google Places, configure your AI agent's voice and personality, then launch. Your agent makes hundreds of calls simultaneously while Claude extracts structured data from transcripts. Track prices, check inventory, verify hours, or update outdated statistics—research that takes humans 40 hours now takes 90 minutes. Perfect for price tracking, availability checks, competitive intelligence, or filling gaps in public data. Built on ElevenAgents, Firecrawl Search, and Claude. Primary research that used to cost thousands now costs pennies per call.

Submitted 26 Mar 2026