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.

[marketingskills] Add customer-research skill

Add a new `customer-research` skill covering analyzing existing research assets, digital watering hole research, synthesizing findings, generating customer personas, and sentiment analysis.

Original Source

@@coreyhaines31 | 0 pts | 14d ago

Add a new `customer-research` skill covering: - Analyzing existing research assets (video transcripts, survey results, support conversations, sales call notes) - Digital watering hole research (Reddit, G2, forums, communities, review sites, blog posts) - Synthesizing findings into insights, patterns, and themes - Generating customer personas from research - Sentiment analysis and VOC (voice of customer) extraction Trigger phrases: 'customer research', 'ICP research', 'talk to customers', 'analyze transcripts', 'build personas', 'what do customers say', 'Reddit mining', 'G2 reviews', 'voice of customer', 'VOC'

Discussion

Loading comments...