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), GitHub, YouTube, LinkedIn, and Amazon. You can also trigger on-demand scraping via the API or web interface to get the freshest data for any topic.

[MarTech Platform] Provide an organizing layer for integrated tools

Users need a unified interface or 'organizing layer' within MarTech platforms, similar to Apple TV, to bring together and manage all integrated tools and data in one place across devices, preventing fragmentation and bloat from unbundled AI agents.

Original Source

@Joe Chernov | 191 pts

AI in martech is starting to remind me of cable “cord-cutting": What begins as freedom ends as bloat. For years, we’ve complained about large, horizontal SaaS systems in GTM. “1000 features yet I only use 10!” So with AI, we do the obvious thing: We unbundle. Instead of one massive system, we build: • agents for lead scoring • agents for outreach • agents for reporting • agents for enrichment No fluff. No wasted features. Only what we use. It sounds perfect. But isn't this exactly how cord-cutting started? Cancel cable. Pick only the streaming services you want. Pay less while clearing clutter. Until one day you realize: You went to bed with Disney, and woke up with Hulu, ESPN, and HBO Max. Bottoms-up bundling. More fragmented. Not actually simpler. Now imagine that future in martech: Dozens (or hundreds) of agents, each of which needs some form of: • monitoring • orchestration • updates • governance Will we escape SaaS bloat only to create agentic bloat? Pete Townsend may never have worked in our world, but he kinda nailed our circumstance with his timeless “meet the new boss / same as the old boss” lyric. Will we get fooled (or, more accurately, fool ourselves) again?

Discussion

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