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Revenue Model Of Product Hunt

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Revenue Model Of Product Hunt,Startup Stories,Product Hunt,Product Hunt Revenue Model,Journey And Growth Of Product Hunt,Startup Stories,Product Hunt,Product Hunt Journey,Product Hunt Journey And Growth,What is Product Hunt?,History Of Product Hunt,Product Hunt Story,Story Of Product Hunt,Product Hunt App

Product Hunt is a website/platform which lets users share their own products and discover other products.  Users can comment and vote (upvote and downvote) various products which they think are useful or not.  A product with the most upvotes in a day reaches the top of the list for that day.  Simply put, the more attractive and useful a product is, means the better the chance for it to be discovered by other users.

While Product Hunt began its journey in 2013, it might surprise a lot of people if they learnt that Product Hunt started earning revenue only in 2018.  Product Hunt solely focused on building and managing a quality community on their platform by constantly curating and moderating their user base.  Once the community is in place, Product Hunt focused on a revenue model and considering the number of users they have on their platform, the revenue models which will be listed out below makes perfect sense.

Revenue Models

Ship

Ship is one the major offerings Product Hunt has on their website.  Ship is basically a product for makers to build an audience for their product.  Ship operates on a freemium model while also providing paid services which offer the buyer more flexibility and services.  Some of the important features provided by Ship include 

  • Landing pages: fully customizable landing pages which look beautiful and lets a user build their audience immediately.
  • Embeddable widgets:  embeddable widgets are used to create a buzz and collect leads using the email form, get answers using surveys widget, or chat with the visitors (individually and/or in group.)
  • Surveys and targeting: The pro version offers tools to conduct surveys, direct messaging and group messaging options.

Ship comes in three different offerings plus two different plans (yearly and monthly.)  The three offerings are Basic, Pro and Super Pro.  Each service tier has its own offerings with the Super Pro offering the most services.  Users can also choose to pay for these plans on a monthly or yearly basis and paying for the annual plan also comes with a $ 7,500 in Amazon Web Services (AWS) credits.

ALSO READ: Journey And Growth Of Product Hunt 

Promoted Products:

With a huge user base which is highly active already in place, promoting products make perfect sense.  Product Hunt offers to promote products and lets the maker/user get their product in front of the tech community and reach out to millions of founders, investors and reporters every month.

However only one product is promoted per day on Product Hunt.  Dates have to be reserved in advance. Prices are not fixed and vary according to the market demand and can go upto $ 4,000.  Only products that have launched on Product Hunt in the past can be promoted. Promoted Products is designed to resurface popular products from the past, giving makers another opportunity to be rediscovered.

Promoted Jobs:

Product Hunt has a wide rage of talented individuals and creators who are listing their products on the platform.  This means head hunters could use the platform to hire some really great resources.  Product Hunt lets companies post jobs on their platform for a fee of $ 299 per month or $ 199 per month if a company chooses the three month plan.  Jobs  are displayed for thirty days on the jobs page.

Product Hunt Deals:

Product makers can make use of this feature to introduce exclusive discounts for the Product Hunt community in the comments of their product launch.  These discounts often garner a lot of interest in the product as well as the adoption of the product by users.  These deals can be viewed on a separate page on their main website.  Makers could make use of this feature by signing up for the Founder’s Club and paying a fee.  Joining the Founder Club will give makers access to all current and future deals for a whole year.

The fee is charged at $ 60 per month or can be taken annually for a fee of $ 720 per year.

Apart from these features there are a host of several other interesting features like the one which lets makers advertise their product on various platforms like email newsletters and podcasts.  

One interesting feature is the ‘time travel’ page which lets a user select a date and year to see what products made it to the top list for that particular day in the past.  The upcoming feature lets users see popular upcoming products on Product Hunt.

Let us know in the comments section if you have ever browsed Product Hunt or will do it because you read our article!

 

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Inverstors Stories

Fractal Invests $20 Million in Asper.ai to Accelerate AI Solutions for Consumer Goods

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Fractal Invests $20 Million in Asper.ai to Accelerate AI Solutions for Consumer Goods

Fractal, a leading SaaS unicorn, has announced a strategic investment of $20 million in Asper.ai, an AI-driven platform focused on the consumer goods and manufacturing sectors. This funding, revealed on March 19, 2025, aims to accelerate Asper’s growth by enhancing product development and expanding its enterprise customer base.

Investment Highlights

Pranay Agrawal, Co-Founder and CEO of Fractal, expressed excitement about the partnership, noting Asper’s impressive growth over the past three years. He stated that this investment will unlock new opportunities for enterprise customers and drive further innovation within Asper.

Asper.ai’s Objectives

Mohit Agarwal, Co-Founder and CEO of Asper.ai, emphasized the need for consumer goods leaders to have a strategic ally that can adapt to their operations and transform data into actionable insights. The investment will support Asper in building its autonomous growth AI platform and attracting top talent.

Future Plans

Anuj Kaushik, Co-Founder and Chief Commercial Officer of Asper.ai, highlighted the positive market response to their offerings. With Fractal’s investment, Asper.ai plans to enhance its AI capabilities across key areas like demand forecasting and revenue growth management.

Conclusion

Fractal’s $20 million investment marks a significant step in advancing AI solutions within the consumer goods sector. The collaboration between Fractal and Asper.ai is set to redefine how businesses leverage AI for growth and efficiency in a competitive landscape.

 

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Entrepreneur Stories

Bengaluru’s Hypergro.ai Raises Rs 7 Crore to Enhance AI-Powered Advertising Solutions

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StartupStories

Hypergro.ai, a Bengaluru-based marketing technology startup, has raised Rs 7 crore in seed funding led by Silverneedle Ventures, with participation from Huddle, TDV Partners, HME Ventures, Dholakia Ventures, FiiRE, and angel investors. Founded in 2022 by Rituraj Biswas, Neha Soman, Abhijeet Kumar, and Arijit Mukhopadhyay, the company aims to revolutionize digital marketing by addressing challenges like high Customer Acquisition Costs (CAC) and low Return on Ad Spend (ROAS).

 

The startup leverages AI to create hyper-personalized video ads using user-generated content (UGC). The fresh capital will be used to enhance Hypergro.ai’s AI capabilities, expand operations, and build a specialized team focusing on data analysis, predictive algorithms, and automation.

 

Since its inception, Hypergro.ai has collaborated with over 70 brands, including several from Shark Tank India. The company’s innovative approach has led to its selection for Google’s Startups Accelerator: AI First (India) program in July 2024, providing access to critical training, mentorship, and state-of-the-art AI tools.

 

Hypergro.ai’s platform now supports a community of over 300,000 creators across India and has partnered with more than 100 brands, significantly enhancing its AI model’s accuracy and improving revenue generation for clients. As it continues to expand and refine its AI-powered marketing solutions, Hypergro.ai is set to transform the digital advertising landscape, offering businesses more effective and efficient customer acquisition and engagement strategies.

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Entrepreneur Stories

Meta Faces Another Copyright Lawsuit Over AI Training Practices

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Meta Faces Another Copyright Lawsuit Over AI Training Practices

Meta, the parent company of Facebook and Instagram, is facing fresh legal challenges over allegations that it used copyrighted materials without permission to train its artificial intelligence models, including its LLaMA series. This lawsuit adds to the growing scrutiny of AI companies’ data sourcing methods.

The Allegations

Authors such as Sarah Silverman and Michael Chabon claim Meta trained its AI models on datasets containing their copyrighted works without authorization. Plaintiffs argue this constitutes copyright infringement, while Meta defends its actions under the “fair use” doctrine, asserting that the training process is transformative and legally permissible.

Internal Discussions Raise Concerns

Court documents reveal internal chats among Meta employees discussing the use of copyrighted materials. One researcher suggested acquiring books without permission, stating, “ask forgiveness, not for permission.” These discussions highlight potential awareness within Meta of the legal risks involved.

Fair Use Debate

Meta maintains that its use of copyrighted texts to train LLaMA models is transformative and falls under fair use. The company compares this practice to Google’s precedent in Authors Guild v. Google, where copying books for search tools was deemed fair use. However, critics argue that training AI for commercial purposes does not meet fair use criteria.

Broader Implications

This lawsuit reflects wider concerns about how AI developers source training data, often relying on publicly accessible yet potentially copyrighted materials. As litigation against companies like Meta, OpenAI, and Google increases, clearer regulations may be necessary to balance innovation with intellectual property rights.

The outcome of this case could significantly impact both AI development practices and copyright enforcement in the tech industry.

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