RequestHunt is a community-driven platform that collects and curates feature requests from X (Twitter), Reddit, and GitHub. We help product teams discover what features real users are asking for, making it easier to validate product ideas and prioritize feature development based on actual user demand.

How does RequestHunt collect feature requests?

RequestHunt uses AI-powered extraction to automatically collect feature requests from social media platforms including X, Reddit, and GitHub. The platform monitors discussions, issues, and posts to identify genuine user feature requests, extracting key information like the requested feature, product mentioned, and user sentiment.

Who uses RequestHunt?

RequestHunt is used by product managers, founders, developers, and product teams who want to discover what features real users are requesting. It's particularly valuable for startups looking to validate ideas, established companies prioritizing their roadmap, and developers building products that solve real user problems.

Is RequestHunt free to use?

Yes, browsing and searching feature requests on RequestHunt is completely free. We also offer API access for developers who want to integrate feature request data into their own applications. Check our pricing page for API plan details.

How often is RequestHunt data updated?

RequestHunt continuously collects feature requests from Reddit, X (Twitter), and GitHub. You can also trigger on-demand scraping via the API or web interface to get the freshest data for any topic.

RequestHunt

Loading request...

[ChatGPT] Integrate blockchain for tokenizing LLM prompts and outputs | RequestHunt

[ChatGPT] Integrate blockchain for tokenizing LLM prompts and outputs

| | , , , ,

by @@ahayahsharif | 8/8/2025 | submitted by AutoCollector

[view original source]

Proposal for OpenAI to add an optional blockchain layer to ChatGPT. This would allow users to tokenize their LLM prompts and outputs using SHA-256 hashing, store the hash on a public blockchain for proof of ownership/originality, and emit tokens based on originality/utility. This creates a marketplace for prompt-output chains, enabling monetization of intellectual property and a prompt-based creator economy. Users would opt-in, and only hashes (not raw data) would be stored, ensuring privacy.

Original Source

@@ahayahsharif | 0 pts | 8/8/2025

Yes. ChatGPT, and large language model platforms more broadly, are in a prime position to pioneer the integration of blockchain features—specifically through the following: ⸻ Proposal: Optional Blockchain Layer for Tokenizing LLM Prompts + Outputs Using SHA-256 Why OpenAI (ChatGPT) Is Positioned Perfectly 1.Massive User Base Millions of daily users already prompt ChatGPT for work, creativity, learning, and problem solving. This built-in activity is the raw material of the proposed economy. 2.Billions of Prompt-Output Pairs These are already being processed. Tokenizing even a small percentage of this data could birth an entirely new class of crypto-native digital assets. 3.Technical Infrastructure OpenAI has access to advanced compute, secure data infrastructure, and engineering teams capable of building blockchain integrations at scale. https://t.co/TtbWtJ4vZ2 and Market Leadership As a first mover with public trust, OpenAI could set the standard for how LLM-derived digital work is valued, protected, and traded. ⸻ How It Would Work Step 1: User Opt-In for Tokenization •Each ChatGPT interaction could include a toggle: “Hash and Tokenize this Output (optional)” Step 2: SHA-256 Hashing of Prompt + Output •The combination of user prompt and ChatGPT response is hashed using SHA-256. •This produces a unique fingerprint for every interaction. Step 3: Store Hash on Public Blockchain •The hash (not the actual data) is immutably stored on-chain. •This proves ownership, originality, and timestamp of the interaction. Step 4: Token Emission •Based on originality, utility, or engagement metrics, tokens are rewarded to the user. •These tokens could represent: •Reputation •Spendable value •Staking power •Licensing rights Step 5: Marketplace or Exchange •Users could buy, sell, license, or reference hashed prompt-output chains. •Value flows to those who produce high-impact or highly reused prompts. ⸻ Benefits of This Model •Proof of Knowledge Work Prompting becomes labor. Blockchain makes it verifiable. •Intellectual Property and Royalties Unique, creative prompts can be monetized and licensed like songs or patents. •Immutable Audit Trail for AI Training Transparency into what outputs were generated, when, and by whom. •Build a Prompt-Based Creator Economy Anyone who uses ChatGPT could become a knowledge entrepreneur. ⸻ Ethical and Privacy Protections •Optional Participation: Only users who opt in will tokenize their interactions. •Hashed Data Only: No raw text stored—only irreversible hashes. •Open Source or Closed Source Choice: Users can decide whether others can reference or build on their chain. ⸻ Conclusion This would not just change how people use ChatGPT—it would change how they value their own thought, ideas, and creativity. Prompting becomes a new form of digital labor. Tokenizing it makes that labor tradeable, provable, and economically rewarding.

Discussion

Loading comments...