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Product Hunt Naise AI

Autonomous marketing agents that actually execute

325
Traction Score
54
Discussions
Sep 23, 2026
Launch Date
View Origin Link

Product Positioning & Context

Stop babysitting AI's empty text boxes. Naise AI gives founders and lean teams the output of a full marketing department without the overhead. Lock in your brand guidelines with Persistent Memory, select an Prompt Playbook, and let the platform handle the execution. From vetting real influencers and pitching to journalists, to generating and scheduling social content natively. Go from a cold start to live campaigns in under 24 hours, saving 40+ hours a week and cutting your marketing costs.
Social Media Marketing Artificial Intelligence

Related Ecosystem & Alternatives

Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.

Deep-Dive FAQs

What is Naise AI?
Naise AI is a digital product or tool described as: Autonomous marketing agents that actually execute
Where did Naise AI originate?
Data for Naise AI was aggregated directly from the Product Hunt community ecosystem, representing raw developer and early-adopter sentiment.
When was Naise AI publicly launched?
The initial public indexing or launch date for Naise AI within our tracked developer communities was recorded on September 23, 2026.
How popular is Naise AI?
Naise AI has achieved measurable traction, logging over 325 traction score and facilitating 54 recorded discussions or engagements.
Which technical categories define Naise AI?
Based on metadata extraction, Naise AI is categorized under topics such as: Social Media, Marketing, Artificial Intelligence.
What are some commercial alternatives to Naise AI?
Our semantic intelligence engine identifies potential commercial alternatives in the SaaS space, such as Naoma AI Demo Agent V2, which offers overlapping value propositions.
How does the creator describe Naise AI?
The original author or development team describes the product as follows: "Stop babysitting AI's empty text boxes. Naise AI gives founders and lean teams the output of a full marketing department without the overhead. Lock in your brand guidelines with Persistent Memory, ..."

Community Voice & Feedback

[Redacted] • Sep 23, 2026
Really interesting approach. Having AI agents take action rather than recommending what to do feels like the natural next step for marketing automation. Nice work!
[Redacted] • Sep 23, 2026
the "pitching to journalists" part is the one I'd want to see fail gracefully, since a bad autonomous pitch to a real reporter costs more than a bad social post nobody sees, it can actually burn a relationship. does Persistent Memory learn which journalists/outlets responded well or badly over time, or is every pitch treated as a fresh cold outreach with no memory of "this editor hates being pitched on Tuesdays" type context?
[Redacted] • Sep 23, 2026
Looks very interesting! What's the main difference compared to general AI models?
[Redacted] • Sep 23, 2026
Congrats on the launch! Been following your launch from the beginning. Excited to see where it goes.
[Redacted] • Sep 23, 2026
I create content for a few brands, Naise could come in handy. Could you tell me how it handles content that references breaking news or fast-moving trends without losing brand consistency?
[Redacted] • Sep 23, 2026
Congratulations on the launch @roy_kek and @andika_fadhilah ✌️. Is that number based on actual figures from real users or just an estimate of what the benchmark should be?
[Redacted] • Sep 23, 2026
Does the platform work well for niche industries where there isn't a huge amount of social content to learn from? I am into immigration and that may not be the most popular niche in certain parts of the world.
[Redacted] • Sep 23, 2026
May I ask how much control do users have before Naise publishes something? I’d definitely want an approval step for brand-sensitive content. Can this approval process be set up on Slack or similar work apps??
[Redacted] • Sep 23, 2026
@roy_kek the social content agent for sure the task that eats the most hours for the least strategic value as a solo founder. does it learn your voice from existing posts automatically, or do you have to feed it examples to start? congrats, team
[Redacted] • Sep 23, 2026
How exactly are you differentiating from other products that are also a team of marketing agents? Could each share more on that? Congrats on the launch though.
[Redacted] • Sep 23, 2026
The performance feedback loop is interesting. Does Naise actually adjust future content based on what performs best? Or can we ask it to tweak based on our feedback?
[Redacted] • Sep 23, 2026
What signals does the agent use when deciding whether an influencer is a good fit?
[Redacted] • Sep 23, 2026
The 80% cost cutting number is bold for a launch day post. Is that based on actual customer data from your beta, or is it more of a projection based on typical agency retainer costs?
[Redacted] • Sep 23, 2026
For agencies, can we have multiple brands inside the same dashboard / workspace, or do you have to create new accounts for different brands? How does that work?
[Redacted] • Sep 22, 2026
Hey Product Hunt! 👋 Roy here, Co-Founder of Naise AI.The Problem & SolutionYour social media marketing isn’t working, and you don’t know why. 😵‍💫You may know:What makes your business differentThat content and social media should drive growthThat you need a clear, consistent marketing strategyBut you may not know:What should your brand be known for?Which content pillars should you focus on?What topics will attract the right audience?How do you turn attention into leads or customers?Naise AI helps you manage the entire process. From research and strategy to content creation, scheduling, publishing and performance analysis, Naise AI acts like your always-on social media marketing partner.Why we’re different 🔌 Connects directly to your social media platforms, that unncovers deeper insights that general AI tools may miss🧠 Built with marketing-focused models trained on large amounts of social media and marketing data🏢 Understands your business, brand, audience and goals before making recommendations👥 Works like part of your marketing team, not just another AI tool🌍 Looks beyond your own account by analysing competitors, trends, news and relevant content✍️ Turns research and strategy into actual scripts, captions, images and content ideas🔄 Learns from your performance and continuously suggests improvementsHOW IT WORKS1. Tell Naise AI about your business 🏢 We learn about your brand, products, audience, goals and tone of voice.2. We research your marketing landscape 🔍 Naise AI analyses your social media presence, competitors, references, industry news and relevant online conversations.3. We analyse what is working 📈 We identify your content pillars, successful hooks, formats, posting times and areas for improvement.4. We find trends and content opportunities 🔥 Discover viral videos, trending topics, timely news and ideas that are relevant to your business.5. We help you create content ✍️ Generate scripts, captions, content ideas and images based on your brand and current trends.6. We help you plan and publish 🗓️ Naise AI recommends when to post, prepares your captions and helps schedule and publish your content.7. We monitor your results 👀 Track your performance and receive suggestions on what to improve next.8. Coming soon: Generate ads and videos in one click 🎬 Create campaign-ready ads and videos with less manual work.Naise AI helps take social media off your plate, so you can focus on your business while your content keeps moving.Target & The Offer 🎁Whether you are a solo founder or a scaling agency, Naise is built to save you 40+ hours a week and cut marketing costs up to 80%.We are offering a straight 3-day free trial for everyone today. No special promo code needed!🔗 Get your free trial here: https://naise.ai/We are still very early and far from perfect. We genuinely want to build what overworked marketers actually need to survive.Which of the three agents would you deploy first? Let me know in the comments, I will be hanging out here all day!

Discovery Source

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Tech Stack Dependencies

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Deep Research & Science

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