# 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.).


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.cortensor.network/community-and-ecosystem/hackathon/hackathon-apps.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
