> For the complete documentation index, see [llms.txt](https://docs.cortensor.network/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.cortensor.network/community-and-ecosystem/hackathon/hackathon-apps.md).

# 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](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](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](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](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](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.

**App:** <https://t.me/corxgenbot>

***

#### 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.).