XPOZ.AI

The Social Data Layer for AI Agents
Try XPOZ MCP/SDK/CLI →

[XPOZ.AI @XPOZAI]

🚀 We're live on Product Hunt!

Today is a big milestone for the XPOZ team.

We've spent the last few years building a single social data layer that gives developers and AI agents access to real-time and historical data from X, Reddit, Instagram, and TikTok - without the headache of building and maintaining data collection infrastructure.

If you've been following our journey, we'd truly appreciate your support today.

🙏 Please take a minute to upvote XPOZ on Product Hunt and, if you can, leave a short comment. Every vote and comment helps us reach more developers and builders.

👉 Vote here: https://t.co/zbVt4aGi5L

Thank you for being part of our journey - we couldn't have gotten here without this community. ❤️

#ProductHunt #AI #MCP #API #SocialData #Developers #Startups

[XPOZ.AI @XPOZAI]

@BrianRoemmele This is especially interesting for data providers. High-quality APIs and datasets have always been difficult to monetize on a per-request basis. x402 could make consumption much more frictionless for AI agents while giving publishers a sustainable business model.

[XPOZ.AI @XPOZAI]

Great write-up. We've seen the same on the data side. Every social platform has different APIs, schemas, rate limits, and edge cases.

That's exactly why we built XPOZ - to give AI agents a single interface for X, Reddit, Instagram, and TikTok instead of integrating each platform separately.

[XPOZ.AI @XPOZAI]

@marcos_placona Nice workflow. The next step is expanding beyond Reddit, news, and search. For many brands, some of the highest-signal conversations happen across multiple social platforms.

[XPOZ.AI @XPOZAI]

@Emarky That's one of the reasons we're seeing more teams adopt a unified social data layer instead of building directly on top of individual platform APIs.

[XPOZ.AI @XPOZAI]

@64Based @jackfriks That's exactly why more teams are looking for alternatives. Once you need data from more than one platform, managing separate APIs quickly becomes expensive and operationally complex.

[XPOZ.AI @XPOZAI]

@jackfriks We've had quite a few teams come to us for exactly this reason. Once you need more than just X, paying separately for every platform becomes hard to justify.

[XPOZ.AI @XPOZAI]

@0xJeff We're seeing the same trend with social data. Teams increasingly prefer a single endpoint covering multiple platforms over managing separate integrations for each source.

[XPOZ.AI @XPOZAI]

@krisco655 @apify Nice use case. Watchlists become even more valuable when you can combine web monitoring with real-time social signals to spot trends before they reach directories and newsletters.

[XPOZ.AI @XPOZAI]

@Kamil_Outsi @claudeai Nice use case. You could probably surface even more buying signals by expanding beyond Reddit and LinkedIn into platforms like X, Instagram, and TikTok.

[XPOZ.AI @XPOZAI]

@dani_avila7 MCPs are quickly becoming the standard interface. Now the differentiator is the quality, freshness, and depth of the underlying data.

[XPOZ.AI @XPOZAI]

@bprintco @EricDHobbs The agent wasn't the superpower here, the data was. Once agents can reliably access the right data sources, workflows like this become surprisingly straightforward.

[XPOZ.AI @XPOZAI]

@Vi0Let_3v The interesting part isn't just sentiment, it's understanding why sentiment changes. The conversations behind the score often matter more than the score itself.

[XPOZ.AI @XPOZAI]

@KrackedDevs Great architecture. The next pluggable layer is social data. AI agents increasingly need web search and real-time social context, they solve very different problems.

[XPOZ.AI @XPOZAI]

@thinkaipath Access is becoming commoditized. Context isn't. The long-term differentiator for AI agents won't be who can fetch a webpage, it'll be who can provide the highest-quality, freshest context.

[XPOZ.AI @XPOZAI]

@stretchcloud The next bottleneck isn't just internet access, it's data quality. Getting data is one thing, getting reliable, structured, real-time data that agents can actually reason over is a different challenge.

[XPOZ.AI @XPOZAI]

Love the "hardware is disposable, data is not" mindset. One thing we've seen with AI agents is that social data infrastructure becomes another critical dependency alongside web search. The more external services an agent relies on, the more valuable it is to consolidate them where possible.

[XPOZ.AI @XPOZAI]

@jyriso @peturgeorgievv That's exactly why we built XPOZ. The goal was to make social data accessible for builders.

[XPOZ.AI @XPOZAI]

@cyrusnewday @XDevelopers This is exactly why so many AI teams are moving away from managing social data infrastructure themselves.

[XPOZ.AI @XPOZAI]

@ThinkBotHQ @firecrawl Web ≠ social. AI agents increasingly need both.