The Product Hunt launch received positive feedback, with users praising its usefulness for growth planning and as an AI influencer search engine, highlighting its speed and precision. Users expressed interest in trying the tool and understanding its quality, relevance, and availability of case studies. Suggestions included adding reviews and a scoring system for brand-influencer collaborations. The tool is also considered useful for beginners in influencer marketing, with some questions raised about the AI and database aspects.

Excited about the product; great for influencer marketing teams.

The product launch is generating excitement, particularly for its ability to simplify influencer search on LinkedIn and automate database creation for influencer marketing campaigns. Users find the tool powerful and are eager to use it for LinkedIn creator discovery. There's also interest in learning about the key features. The launch is being congratulated as an amazing achievement.

The product launch received positive feedback, with users praising its usefulness and user-friendly design. The template's clean layout and ability to streamline data for social media were highlighted. Many users felt the tool to be valuable and time-saving, especially for podcast marketing outreach. Congratulations were also extended to Hiba and the team.

The Product Hunt launch is receiving positive feedback, with users highlighting the idea's potential. The focus is on the efficiency it brings to influencer marketing by reducing research time. There's also interest in influencer signup, suggesting the platform's appeal for user-generated content from both creators and companies.

Past influencer marketing efforts have yielded mixed results due to inadequate research. This suggests the need for a more thorough approach to influencer selection and campaign planning.

Users appreciate Wednesday's influencer marketing tool for connecting creators with campaigns. It's highlighted as an affordable solution, even more so than HypeAuditor, suggesting its cost-effectiveness is a key advantage.

The Product Hunt launch of Moonio received overwhelmingly positive feedback, with numerous users congratulating the team and expressing excitement about the platform's potential to simplify influencer marketing. Many highlighted Moonio's comprehensive features, ease of use, and ability to save time. Users inquired about specific aspects such as pricing, niche focus, integration of different social media platforms (beyond Instagram), campaign creation, influencer vetting and support, indicating a strong interest in exploring the platform further. Several users also offered suggestions for future improvements.

Users criticized Moonio for a lack of differentiation from existing influencer marketing platforms, especially concerning how it innovates. They requested expansion to more social networks like TikTok. Concerns were raised regarding transparency, avoiding unprofessional influencers, and the high platform fees relative to results. Users wanted to know how Moonio helps analyze campaign success and ensure service effectiveness with data and success stories. Some found it too simple, questioned the customer acquisition strategy, and highlighted the difficulty in avoiding fake influencers. There was also a suggestion to connect influencers with founders.

The Product Hunt launch received mixed feedback. Some users expressed concerns about selling scraped TikTok contact information without consent. Others praised the product's usefulness, data depth, and time-saving capabilities for finding influencers. Several users congratulated the creators and wished them luck. There were questions about the benchmarks for determining influencers and the definition of 'awesomeness.' Some suggested adding success stories and focusing on data quality over quantity. The influencer database was seen as a great idea. Partnership with influencers seems valuable.

Users criticize the product for potentially unethical data scraping without consent. There are concerns about data freshness and the limited scope of influencer data provided (primarily email addresses). Doubts are raised regarding the necessity and effectiveness of AI vetting. Users suggest improvements like including success stories/case studies and more detailed influencer data, such as audience demographics and engagement metrics. Curation/upvoting mechanisms are requested to prevent the spread of hate speech.

Influencer Brand Fit Matrix is an AI-driven tool that matches brands with suitable influencers. One user indicated they would try it out, and another shared a link to the Product Hunt post.

Link provided for missing content.

PartnerUp's Product Hunt launch garnered overwhelmingly positive feedback, with users repeatedly praising its ability to efficiently manage influencer lists, provide detailed demographic and engagement data, and save time. Many congratulated the team and expressed excitement about using the tool, particularly for e-commerce brands, digital agencies, and small businesses. Several users inquired about the data sources and platform expansion plans. The tool's value and potential impact in the influencer marketing space were consistently highlighted.

Users are requesting success stories or case studies to better understand the product's value. A key concern is maintaining up-to-date data, which is perceived as a significant challenge for the product's long-term viability and usefulness.

The product is well-received for its B2B focus and free access. Users appreciate the directory for finding B2B newsletters and podcasts, particularly for advertising purposes. There is anticipation for the continued growth of the available lists.