Built for AI companies.
Aha handles matching, outreach, negotiation, contracts, content review, follow-ups, and performance tracking. All you do is review and approve, just like a boss.
Shaped by real campaigns with 300+ global brands, Aha 2.0 delivers a safer, more reliable way to work with influencers.
This looks incredibly promising! As a founder navigating the complexities of getting our AI product seen, influencer marketing is definitely on our radar, but the manual effort always felt daunting. The idea of an AI employee handling everything from outreach to performance tracking is a game-changer. I'm especially interested in how Aha 2.0 streamlines the negotiation and content review process. Can't wait to give this a try!
@huang_song_ Thank you so much for the thoughtful question.
On the negotiation side, Aha handles the entire flow based on the campaign information you create. The system first matches relevant influencers, then manages the communication around interest and pricing. For pricing specifically, Aha calculates a fair rate by looking at each creator’s historical performance, audience data, and real-time market supply and demand. Aha negotiates directly with creators and provides you with a final, all-in price.
Once a creator shows interest and agrees to the proposed rate, the brand receives a final approval step to confirm whether to move forward. This eliminates the typical four to five rounds of back-and-forth negotiation. After you approve, content production begins immediately.
For content review, everything happens inside one workspace. In the past, teams had to jump across documents, emails, chats, folders, and chase each creator for revisions. Aha centralizes the entire process so you can review drafts, leave feedback, and approve updates all in one place. Progress is clearly organized, and what used to be fragmented now becomes structured, predictable, and fully manageable.
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Congrats on the launch! Automating the messy parts of influencer marketing from discovery to follow-ups feels like a massive relief for teams that are stretched thin. What part of the workflow did you find the hardest to automate?
@vik_sh To be honest, every part of the workflow has been hard to automate. As a two-sided platform, both sides introduce their own complexity.
On the brand side, the system needs to handle matching, outreach, price negotiation, content monitoring, and performance tracking. On the creator side, it has to manage accepting offers, uploading content, meeting delivery requirements, and handling payments.
Each module requires a very clear set of rules and a well-designed system underneath it. Automating all of this end to end has been challenging, but also the most rewarding part of building Aha.
@flundberg_at_incredible Haha I get you, forms are everyone’s natural enemy. But ours is super short, I promise. Think of it as the mini-boss before you unlock the good stuff. Would love to show you the demo when you’re ready!
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Ditching tags for LLM vibe-matching is the right move. Keywords never really capture the audience's feel. Nice work.
@dogukan_brandvox Thank you! Hope you’ll discover your own Aha moment when you get the chance to try it.
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Interesting concept. A 24/7 multi-agent team for influencer marketing feels like a real upgrade from manual outreach and slow campaign cycles. If it can truly scale across niches and deliver measurable results, that’s a big advantage for brands. Curious to see case studies and outcomes.
Thank you so much for the kind words. With Aha 2.0, we no longer think of it as a team , it now operates more like a 24/7 influencer marketing employee.
We’ve invested a lot of time refining the system for AI and software-focused brands, and as Aha continues to grow, our coverage across more niche categories will keep expanding as well.
@suvi_lasan Matching creators across different categories is something we’ve spent a lot of time refining. We built an expert-level system.
Based on the brand’s campaign details and target audience, AI goes far beyond feature extraction or simple scoring. It acts as an influencer marketing specialist and participates in the full process of Recall, Coarse Ranking and Fine Ranking.
At each stage, the system reviews a broad set of signals. These include the alignment between the creator’s audience and the brand’s target users, the authenticity of performance data, historical behavior across platforms and whether the creator’s content style fits the brand’s narrative.
This is what allows Aha to deliver accurate and scalable matching that stays reliable across categories.
Report
Huge congrats on the launch! 🎉 I’ve been following this space pretty closely, and Aha really stands out.
Really like the “approve first” flow — I’m not a fan of tools that blast creators without my review, so that extra control is a big plus.
Super interesting product overall. The scale of your influencer matching and outreach engine sounds massive, and I’d love to see more about how it actually works behind the scenes.
@jumperchuck Thank you for the great questions. Aha evaluates creator authenticity through a multi-layer verification system. We look at how views relate to engagement, whether historical metrics show unusual spikes and the creator’s past collaboration behavior. By combining these signals, we can filter out risky or manipulated accounts and surface creators who consistently deliver real value.
Our outreach flow is built on extensive real-world campaign experience and is optimized for high reply rates across different regions and languages. The templates aren’t customizable yet, but brands can preview the exact message before it’s sent. This helps us maintain consistency and quality while ensuring a smooth, respectful experience for creators.
AI employees, to a certain extent, segment and selectively enhance the capabilities provided by AI, making them more suitable for different industry scenarios to help us!
Looks promising! I am looking to get into influencer marketing myself. What bugs me of these platforms is the "this sounds AI" results sometimes. How do you handle this?
Replies
Typeless
Aha
@huang_song_ Thank you so much for the thoughtful question.
On the negotiation side, Aha handles the entire flow based on the campaign information you create. The system first matches relevant influencers, then manages the communication around interest and pricing. For pricing specifically, Aha calculates a fair rate by looking at each creator’s historical performance, audience data, and real-time market supply and demand. Aha negotiates directly with creators and provides you with a final, all-in price.
Once a creator shows interest and agrees to the proposed rate, the brand receives a final approval step to confirm whether to move forward. This eliminates the typical four to five rounds of back-and-forth negotiation. After you approve, content production begins immediately.
For content review, everything happens inside one workspace. In the past, teams had to jump across documents, emails, chats, folders, and chase each creator for revisions. Aha centralizes the entire process so you can review drafts, leave feedback, and approve updates all in one place. Progress is clearly organized, and what used to be fragmented now becomes structured, predictable, and fully manageable.
Congrats on the launch! Automating the messy parts of influencer marketing from discovery to follow-ups feels like a massive relief for teams that are stretched thin. What part of the workflow did you find the hardest to automate?
Aha
@vik_sh To be honest, every part of the workflow has been hard to automate. As a two-sided platform, both sides introduce their own complexity.
On the brand side, the system needs to handle matching, outreach, price negotiation, content monitoring, and performance tracking. On the creator side, it has to manage accepting offers, uploading content, meeting delivery requirements, and handling payments.
Each module requires a very clear set of rules and a well-designed system underneath it. Automating all of this end to end has been challenging, but also the most rewarding part of building Aha.
Incredible
Ok interested! Though too lazy to fill in form to get demo 😅
Aha
@flundberg_at_incredible Haha I get you, forms are everyone’s natural enemy.
But ours is super short, I promise. Think of it as the mini-boss before you unlock the good stuff.
Would love to show you the demo when you’re ready!
Ditching tags for LLM vibe-matching is the right move. Keywords never really capture the audience's feel. Nice work.
Aha
@dogukan_brandvox Thank you! Hope you’ll discover your own Aha moment when you get the chance to try it.
Interesting concept. A 24/7 multi-agent team for influencer marketing feels like a real upgrade from manual outreach and slow campaign cycles. If it can truly scale across niches and deliver measurable results, that’s a big advantage for brands. Curious to see case studies and outcomes.
Aha
@shemith_mohanan
Thank you so much for the kind words. With Aha 2.0, we no longer think of it as a team , it now operates more like a 24/7 influencer marketing employee.
We’ve invested a lot of time refining the system for AI and software-focused brands, and as Aha continues to grow, our coverage across more niche categories will keep expanding as well.
Incredible
How do you find the influencers for each niche, is it with ai or your own algorithm
Aha
@suvi_lasan Matching creators across different categories is something we’ve spent a lot of time refining.
We built an expert-level system.
Based on the brand’s campaign details and target audience, AI goes far beyond feature extraction or simple scoring. It acts as an influencer marketing specialist and participates in the full process of Recall, Coarse Ranking and Fine Ranking.
At each stage, the system reviews a broad set of signals. These include the alignment between the creator’s audience and the brand’s target users, the authenticity of performance data, historical behavior across platforms and whether the creator’s content style fits the brand’s narrative.
This is what allows Aha to deliver accurate and scalable matching that stays reliable across categories.
Huge congrats on the launch! 🎉 I’ve been following this space pretty closely, and Aha really stands out.
Really like the “approve first” flow — I’m not a fan of tools that blast creators without my review, so that extra control is a big plus.
Super interesting product overall. The scale of your influencer matching and outreach engine sounds massive, and I’d love to see more about how it actually works behind the scenes.
Aha
@jumperchuck Thank you for the great questions. Aha evaluates creator authenticity through a multi-layer verification system. We look at how views relate to engagement, whether historical metrics show unusual spikes and the creator’s past collaboration behavior. By combining these signals, we can filter out risky or manipulated accounts and surface creators who consistently deliver real value.
Our outreach flow is built on extensive real-world campaign experience and is optimized for high reply rates across different regions and languages. The templates aren’t customizable yet, but brands can preview the exact message before it’s sent. This helps us maintain consistency and quality while ensuring a smooth, respectful experience for creators.
Video Roll
AI employees, to a certain extent, segment and selectively enhance the capabilities provided by AI, making them more suitable for different industry scenarios to help us!
Failping
Looks promising! I am looking to get into influencer marketing myself. What bugs me of these platforms is the "this sounds AI" results sometimes. How do you handle this?
Best of luck!
Elser AI
Congrats on the Aha 2.0 launch! Building a truly end-to-end agent is a huge engineering feat.
I am curious about the trust layer. Since the agent handles things like negotiation and contracts, where does the human check-in happen?
Getting the balance right between agent autonomy and human oversight is the most complex part of scaling this kind of tool.