Hili is a recommendation platform that lets users ask people they trust for product and service advice, delivering personalized suggestions without algorithmic or paid bias. The service organizes queries—like “best car seat for a newborn” or “top moisturizer”—into a clean, conversation‑style feed, making discovery feel more like a trusted conversation than a social network or review site. It focuses on authentic, relationship‑driven recommendations.
Funding
Funding not disclosed
Founders
Product
Problem
Consumers struggle to find reliable product and service recommendations because social media, review sites, and search engines prioritize algorithms, paid promotions, and anonymous crowds, leading to noisy and untrustworthy suggestions.
Solution
Hili provides a recommendation platform that enables users to share and receive product and service suggestions within their personal networks. By leveraging trusted relationships rather than algorithmic rankings, the platform delivers advice that is directly vetted by friends, family, or acquaintances. Users can ask specific questions—such as the best car seat for a newborn or a favorite moisturizer—and receive curated responses from people whose tastes they know. The experience is organized like a private group conversation, avoiding the clutter of public feeds while maintaining relevance to each individual's needs. Hili also facilitates authentic connections between users and brands that align with their values, fostering a community-driven discovery process.
Target Audience
Primary users are consumers who rely on personal advice for purchasing decisions, and brands seeking direct, authentic engagement with a trusted audience.
Features
- Network-based recommendation feed where only contacts you trust can post suggestions
- Question-and-answer format for specific product or service inquiries
- Organized, clutter‑free interface that groups recommendations by topic or conversation thread
- Ability to follow and interact with brands that match personal preferences without algorithmic interference
- Privacy controls allowing users to manage who can view and contribute to their recommendation circles