Hackathon Apps
These apps demonstrate how builders can:
Call Cortensor’s inference APIs for text, analysis, and summarization.
Use multi-miner consensus and validation patterns (PoI/PoUW-inspired) for more reliable outputs.
Integrate Cortensor into Web2 frontends and Telegram/Discord bots with minimal overhead.
Web Apps (Browser-Based)
Research Summarizer
Description: Summarizes long research papers and documents into concise, structured insights, making dense material more approachable.
Use cases:
Quickly understand long-form research.
Extract key ideas, sections, and takeaways.
Backed by Cortensor inference for summarization and structuring.
App: https://cortensor-research-summarizer.eureka7.online
Price Analyzer
Description: Multi-asset market analysis with AI-generated narratives. Combines data views with AI commentary to help users interpret trends.
Use cases:
High-level market overviews.
Narrative-style explanations around price movements (for multiple assets).
Powered by Cortensor’s inference layer for text analysis and generation.
App: https://cortensor-price-analyzer.eureka7.online
Showcase App
Description: A demo hub for exploring Cortensor models, configurations, and outputs in one place.
Use cases:
Try out different models and parameters.
Preview how Cortensor inference behaves under various settings.
Helpful for new developers onboarding to Cortensor.
App: https://cortensor-showcase.eureka7.online
Decentralized Truth Machine
Description: An “AI market insights” app that leans into multi-miner consensus for more trustworthy outputs.
Use cases:
Market commentary backed by multiple runs.
Insights with reduced single-model bias.
Demonstrates Cortensor’s decentralized inference and consensus-style validation.
App: https://cortensor-aioracle.eureka7.online
EurekaAI
Description: A multi-model AI chat experience with memory and streaming, running on Cortensor-backed infrastructure.
Use cases:
General-purpose conversation and assistance.
Testing how different models behave in interactive chat.
Designed as a flexible front end for Cortensor’s model stack.
App: https://cortensor-devnet.eureka7.online
Claim Check Oracle
Description: A web app for verifying factual claims using decentralized AI. Users submit a claim with optional context or links, and the system performs web discovery plus multi-miner evaluation on Cortensor.
Use cases:
Quick reality checks on factual claims.
Extra assurance before sharing information or acting on it.
Outputs include:
Verdict: true / false / partial / unclear
Confidence level
Reasoning summary
Referenced sources
Designed for transparency and reduced bias, using decentralized AI instead of a single centralized model.
App: https://cortensor-claimcheck.eureka7.online/
Telegram Bots (Chat-Based Apps)
Watcher Bot
Description: Streams developer updates from Discord and summarizes them into Telegram.
Use cases:
Stay up to date on Cortensor dev progress without watching every channel.
Get digestible summaries of technical updates.
Uses Cortensor inference to condense and rewrite dev notes.
App: https://t.me/Cortensor_Watcher_Bot
Health Advisor
Description: A privacy-conscious Telegram bot for basic health-related guidance, powered by decentralized inference.
Use cases:
General, non-diagnostic health advice.
Simple, conversational Q&A around wellness.
Uses Cortensor to keep inference off centralized, single-provider rails.
App: https://t.me/Health_Advisors_Cortensor_Bot
AnalystAI Bot
Description: Market analysis, portfolio tracking support, and DCA-style helper tools in one Telegram bot.
Use cases:
Quick market commentary.
Light portfolio and DCA planning workflows.
Combines Cortensor inference with market-oriented prompts and flows.
App: https://t.me/the_analyst_cor_bot
Prompting Helper Bot
Description: Helps users craft better prompts, step by step.
Use cases:
New users learning how to talk to AI tools.
Power users wanting more structured or reusable prompts.
Uses Cortensor to suggest refinements and examples.
App: https://t.me/prompt_helpers_cortensor_bot
Tweet-Gen Bot
Description: A Telegram bot for generating tweets, short threads, and reply drafts on demand.
Use cases:
Fast content ideation.
Drafting posts for X / Twitter with minimal friction.
Backed by Cortensor models tuned for short-form content.
EurekaBuddyBot
Description: A kid-friendly learning chatbot built around simple, safe educational interactions.
Use cases:
Learning assistance for children.
Safe Q&A and curiosity-driven exploration.
Uses Cortensor inference with constrained, guided behavior.
App: https://t.me/eureka_kids_bot
MotivationTg Bot
Description: Delivers daily motivational quotes tuned to user mood and timezone.
Use cases:
Lightweight, daily check-ins.
Positive reinforcement and habit-building via micro-interactions.
Uses Cortensor to generate or select motivation snippets with simple personalization.
App: https://t.me/CeveningsBot
RecapTGBot
Description: An async Telegram bot for generating structured developer recaps from X (Twitter), formatted in Cortensor’s Dev Update style.
Use cases:
Auto-generated dev summaries from an X account (default: <@1257067003303166024>).
Recap windows by custom date range.
Features:
Formats posts into a “Dev Update & Recap” style summary.
Uses Cortensor’s decentralized AI router for formatting and structuring.
Automatically posts the recap into a Telegram chat.
Includes original posts, quoted posts, retweets, and self-threads, while excluding replies to other accounts.
Supports simple commands for recap generation and interval scheduling (admin-only).
App: https://t.me/cortgrecapbot
Notes for Builders
These apps are examples, not limits – they show how to:
Integrate Cortensor with web frontends, bots, and dashboards.
Use decentralized inference in everyday experiences.
Experiment with higher-trust patterns (multi-run, consensus, validation).
Future iterations may:
Move from DevNet/Testnet to Mainnet-Lite and Mainnet-Full.
Add explicit PoI/PoUW-backed validation flows and Corgent integration.
If you’re building on Cortensor and want your app listed here, you can propose it via the community channels (Telegram / Discord) along with:
A short description.
Public link.
How it uses Cortensor (models, validation, routing, etc.).
Last updated